/* Generated by Cython 0.29.6 */

#define PY_SSIZE_T_CLEAN
#include "Python.h"
#ifndef Py_PYTHON_H
    #error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
    #error Cython requires Python 2.6+ or Python 3.3+.
#else
#define CYTHON_ABI "0_29_6"
#define CYTHON_HEX_VERSION 0x001D06F0
#define CYTHON_FUTURE_DIVISION 1
#include <stddef.h>
#ifndef offsetof
  #define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
#endif
#if !defined(WIN32) && !defined(MS_WINDOWS)
  #ifndef __stdcall
    #define __stdcall
  #endif
  #ifndef __cdecl
    #define __cdecl
  #endif
  #ifndef __fastcall
    #define __fastcall
  #endif
#endif
#ifndef DL_IMPORT
  #define DL_IMPORT(t) t
#endif
#ifndef DL_EXPORT
  #define DL_EXPORT(t) t
#endif
#define __PYX_COMMA ,
#ifndef HAVE_LONG_LONG
  #if PY_VERSION_HEX >= 0x02070000
    #define HAVE_LONG_LONG
  #endif
#endif
#ifndef PY_LONG_LONG
  #define PY_LONG_LONG LONG_LONG
#endif
#ifndef Py_HUGE_VAL
  #define Py_HUGE_VAL HUGE_VAL
#endif
#ifdef PYPY_VERSION
  #define CYTHON_COMPILING_IN_PYPY 1
  #define CYTHON_COMPILING_IN_PYSTON 0
  #define CYTHON_COMPILING_IN_CPYTHON 0
  #undef CYTHON_USE_TYPE_SLOTS
  #define CYTHON_USE_TYPE_SLOTS 0
  #undef CYTHON_USE_PYTYPE_LOOKUP
  #define CYTHON_USE_PYTYPE_LOOKUP 0
  #if PY_VERSION_HEX < 0x03050000
    #undef CYTHON_USE_ASYNC_SLOTS
    #define CYTHON_USE_ASYNC_SLOTS 0
  #elif !defined(CYTHON_USE_ASYNC_SLOTS)
    #define CYTHON_USE_ASYNC_SLOTS 1
  #endif
  #undef CYTHON_USE_PYLIST_INTERNALS
  #define CYTHON_USE_PYLIST_INTERNALS 0
  #undef CYTHON_USE_UNICODE_INTERNALS
  #define CYTHON_USE_UNICODE_INTERNALS 0
  #undef CYTHON_USE_UNICODE_WRITER
  #define CYTHON_USE_UNICODE_WRITER 0
  #undef CYTHON_USE_PYLONG_INTERNALS
  #define CYTHON_USE_PYLONG_INTERNALS 0
  #undef CYTHON_AVOID_BORROWED_REFS
  #define CYTHON_AVOID_BORROWED_REFS 1
  #undef CYTHON_ASSUME_SAFE_MACROS
  #define CYTHON_ASSUME_SAFE_MACROS 0
  #undef CYTHON_UNPACK_METHODS
  #define CYTHON_UNPACK_METHODS 0
  #undef CYTHON_FAST_THREAD_STATE
  #define CYTHON_FAST_THREAD_STATE 0
  #undef CYTHON_FAST_PYCALL
  #define CYTHON_FAST_PYCALL 0
  #undef CYTHON_PEP489_MULTI_PHASE_INIT
  #define CYTHON_PEP489_MULTI_PHASE_INIT 0
  #undef CYTHON_USE_TP_FINALIZE
  #define CYTHON_USE_TP_FINALIZE 0
  #undef CYTHON_USE_DICT_VERSIONS
  #define CYTHON_USE_DICT_VERSIONS 0
  #undef CYTHON_USE_EXC_INFO_STACK
  #define CYTHON_USE_EXC_INFO_STACK 0
#elif defined(PYSTON_VERSION)
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 1
  #define CYTHON_COMPILING_IN_CPYTHON 0
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #undef CYTHON_USE_PYTYPE_LOOKUP
  #define CYTHON_USE_PYTYPE_LOOKUP 0
  #undef CYTHON_USE_ASYNC_SLOTS
  #define CYTHON_USE_ASYNC_SLOTS 0
  #undef CYTHON_USE_PYLIST_INTERNALS
  #define CYTHON_USE_PYLIST_INTERNALS 0
  #ifndef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 1
  #endif
  #undef CYTHON_USE_UNICODE_WRITER
  #define CYTHON_USE_UNICODE_WRITER 0
  #undef CYTHON_USE_PYLONG_INTERNALS
  #define CYTHON_USE_PYLONG_INTERNALS 0
  #ifndef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 0
  #endif
  #ifndef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 1
  #endif
  #ifndef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 1
  #endif
  #undef CYTHON_FAST_THREAD_STATE
  #define CYTHON_FAST_THREAD_STATE 0
  #undef CYTHON_FAST_PYCALL
  #define CYTHON_FAST_PYCALL 0
  #undef CYTHON_PEP489_MULTI_PHASE_INIT
  #define CYTHON_PEP489_MULTI_PHASE_INIT 0
  #undef CYTHON_USE_TP_FINALIZE
  #define CYTHON_USE_TP_FINALIZE 0
  #undef CYTHON_USE_DICT_VERSIONS
  #define CYTHON_USE_DICT_VERSIONS 0
  #undef CYTHON_USE_EXC_INFO_STACK
  #define CYTHON_USE_EXC_INFO_STACK 0
#else
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 0
  #define CYTHON_COMPILING_IN_CPYTHON 1
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #if PY_VERSION_HEX < 0x02070000
    #undef CYTHON_USE_PYTYPE_LOOKUP
    #define CYTHON_USE_PYTYPE_LOOKUP 0
  #elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
    #define CYTHON_USE_PYTYPE_LOOKUP 1
  #endif
  #if PY_MAJOR_VERSION < 3
    #undef CYTHON_USE_ASYNC_SLOTS
    #define CYTHON_USE_ASYNC_SLOTS 0
  #elif !defined(CYTHON_USE_ASYNC_SLOTS)
    #define CYTHON_USE_ASYNC_SLOTS 1
  #endif
  #if PY_VERSION_HEX < 0x02070000
    #undef CYTHON_USE_PYLONG_INTERNALS
    #define CYTHON_USE_PYLONG_INTERNALS 0
  #elif !defined(CYTHON_USE_PYLONG_INTERNALS)
    #define CYTHON_USE_PYLONG_INTERNALS 1
  #endif
  #ifndef CYTHON_USE_PYLIST_INTERNALS
    #define CYTHON_USE_PYLIST_INTERNALS 1
  #endif
  #ifndef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 1
  #endif
  #if PY_VERSION_HEX < 0x030300F0
    #undef CYTHON_USE_UNICODE_WRITER
    #define CYTHON_USE_UNICODE_WRITER 0
  #elif !defined(CYTHON_USE_UNICODE_WRITER)
    #define CYTHON_USE_UNICODE_WRITER 1
  #endif
  #ifndef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 0
  #endif
  #ifndef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 1
  #endif
  #ifndef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 1
  #endif
  #ifndef CYTHON_FAST_THREAD_STATE
    #define CYTHON_FAST_THREAD_STATE 1
  #endif
  #ifndef CYTHON_FAST_PYCALL
    #define CYTHON_FAST_PYCALL 1
  #endif
  #ifndef CYTHON_PEP489_MULTI_PHASE_INIT
    #define CYTHON_PEP489_MULTI_PHASE_INIT (PY_VERSION_HEX >= 0x03050000)
  #endif
  #ifndef CYTHON_USE_TP_FINALIZE
    #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
  #endif
  #ifndef CYTHON_USE_DICT_VERSIONS
    #define CYTHON_USE_DICT_VERSIONS (PY_VERSION_HEX >= 0x030600B1)
  #endif
  #ifndef CYTHON_USE_EXC_INFO_STACK
    #define CYTHON_USE_EXC_INFO_STACK (PY_VERSION_HEX >= 0x030700A3)
  #endif
#endif
#if !defined(CYTHON_FAST_PYCCALL)
#define CYTHON_FAST_PYCCALL  (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
#endif
#if CYTHON_USE_PYLONG_INTERNALS
  #include "longintrepr.h"
  #undef SHIFT
  #undef BASE
  #undef MASK
  #ifdef SIZEOF_VOID_P
    enum { __pyx_check_sizeof_voidp = 1 / (int)(SIZEOF_VOID_P == sizeof(void*)) };
  #endif
#endif
#ifndef __has_attribute
  #define __has_attribute(x) 0
#endif
#ifndef __has_cpp_attribute
  #define __has_cpp_attribute(x) 0
#endif
#ifndef CYTHON_RESTRICT
  #if defined(__GNUC__)
    #define CYTHON_RESTRICT __restrict__
  #elif defined(_MSC_VER) && _MSC_VER >= 1400
    #define CYTHON_RESTRICT __restrict
  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
    #define CYTHON_RESTRICT restrict
  #else
    #define CYTHON_RESTRICT
  #endif
#endif
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
#   if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
#     define CYTHON_UNUSED __attribute__ ((__unused__))
#   else
#     define CYTHON_UNUSED
#   endif
# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
#   define CYTHON_UNUSED __attribute__ ((__unused__))
# else
#   define CYTHON_UNUSED
# endif
#endif
#ifndef CYTHON_MAYBE_UNUSED_VAR
#  if defined(__cplusplus)
     template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
#  else
#    define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
#  endif
#endif
#ifndef CYTHON_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
#  define CYTHON_NCP_UNUSED
# else
#  define CYTHON_NCP_UNUSED CYTHON_UNUSED
# endif
#endif
#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifdef _MSC_VER
    #ifndef _MSC_STDINT_H_
        #if _MSC_VER < 1300
           typedef unsigned char     uint8_t;
           typedef unsigned int      uint32_t;
        #else
           typedef unsigned __int8   uint8_t;
           typedef unsigned __int32  uint32_t;
        #endif
    #endif
#else
   #include <stdint.h>
#endif
#ifndef CYTHON_FALLTHROUGH
  #if defined(__cplusplus) && __cplusplus >= 201103L
    #if __has_cpp_attribute(fallthrough)
      #define CYTHON_FALLTHROUGH [[fallthrough]]
    #elif __has_cpp_attribute(clang::fallthrough)
      #define CYTHON_FALLTHROUGH [[clang::fallthrough]]
    #elif __has_cpp_attribute(gnu::fallthrough)
      #define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
    #endif
  #endif
  #ifndef CYTHON_FALLTHROUGH
    #if __has_attribute(fallthrough)
      #define CYTHON_FALLTHROUGH __attribute__((fallthrough))
    #else
      #define CYTHON_FALLTHROUGH
    #endif
  #endif
  #if defined(__clang__ ) && defined(__apple_build_version__)
    #if __apple_build_version__ < 7000000
      #undef  CYTHON_FALLTHROUGH
      #define CYTHON_FALLTHROUGH
    #endif
  #endif
#endif

#ifndef __cplusplus
  #error "Cython files generated with the C++ option must be compiled with a C++ compiler."
#endif
#ifndef CYTHON_INLINE
  #if defined(__clang__)
    #define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
  #else
    #define CYTHON_INLINE inline
  #endif
#endif
template<typename T>
void __Pyx_call_destructor(T& x) {
    x.~T();
}
template<typename T>
class __Pyx_FakeReference {
  public:
    __Pyx_FakeReference() : ptr(NULL) { }
    __Pyx_FakeReference(const T& ref) : ptr(const_cast<T*>(&ref)) { }
    T *operator->() { return ptr; }
    T *operator&() { return ptr; }
    operator T&() { return *ptr; }
    template<typename U> bool operator ==(U other) { return *ptr == other; }
    template<typename U> bool operator !=(U other) { return *ptr != other; }
  private:
    T *ptr;
};

#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
  #define Py_OptimizeFlag 0
#endif
#define __PYX_BUILD_PY_SSIZE_T "n"
#define CYTHON_FORMAT_SSIZE_T "z"
#if PY_MAJOR_VERSION < 3
  #define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
          PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
  #define __Pyx_DefaultClassType PyClass_Type
#else
  #define __Pyx_BUILTIN_MODULE_NAME "builtins"
  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
          PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
  #define __Pyx_DefaultClassType PyType_Type
#endif
#ifndef Py_TPFLAGS_CHECKTYPES
  #define Py_TPFLAGS_CHECKTYPES 0
#endif
#ifndef Py_TPFLAGS_HAVE_INDEX
  #define Py_TPFLAGS_HAVE_INDEX 0
#endif
#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
  #define Py_TPFLAGS_HAVE_NEWBUFFER 0
#endif
#ifndef Py_TPFLAGS_HAVE_FINALIZE
  #define Py_TPFLAGS_HAVE_FINALIZE 0
#endif
#ifndef METH_STACKLESS
  #define METH_STACKLESS 0
#endif
#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)
  #ifndef METH_FASTCALL
     #define METH_FASTCALL 0x80
  #endif
  typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);
  typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,
                                                          Py_ssize_t nargs, PyObject *kwnames);
#else
  #define __Pyx_PyCFunctionFast _PyCFunctionFast
  #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords
#endif
#if CYTHON_FAST_PYCCALL
#define __Pyx_PyFastCFunction_Check(func)\
    ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)))))
#else
#define __Pyx_PyFastCFunction_Check(func) 0
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)
  #define PyObject_Malloc(s)   PyMem_Malloc(s)
  #define PyObject_Free(p)     PyMem_Free(p)
  #define PyObject_Realloc(p)  PyMem_Realloc(p)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x030400A1
  #define PyMem_RawMalloc(n)           PyMem_Malloc(n)
  #define PyMem_RawRealloc(p, n)       PyMem_Realloc(p, n)
  #define PyMem_RawFree(p)             PyMem_Free(p)
#endif
#if CYTHON_COMPILING_IN_PYSTON
  #define __Pyx_PyCode_HasFreeVars(co)  PyCode_HasFreeVars(co)
  #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)
#else
  #define __Pyx_PyCode_HasFreeVars(co)  (PyCode_GetNumFree(co) > 0)
  #define __Pyx_PyFrame_SetLineNumber(frame, lineno)  (frame)->f_lineno = (lineno)
#endif
#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000
  #define __Pyx_PyThreadState_Current PyThreadState_GET()
#elif PY_VERSION_HEX >= 0x03060000
  #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()
#elif PY_VERSION_HEX >= 0x03000000
  #define __Pyx_PyThreadState_Current PyThreadState_GET()
#else
  #define __Pyx_PyThreadState_Current _PyThreadState_Current
#endif
#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)
#include "pythread.h"
#define Py_tss_NEEDS_INIT 0
typedef int Py_tss_t;
static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {
  *key = PyThread_create_key();
  return 0;
}
static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {
  Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));
  *key = Py_tss_NEEDS_INIT;
  return key;
}
static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {
  PyObject_Free(key);
}
static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
  return *key != Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
  PyThread_delete_key(*key);
  *key = Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {
  return PyThread_set_key_value(*key, value);
}
static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {
  return PyThread_get_key_value(*key);
}
#endif
#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)
#define __Pyx_PyDict_NewPresized(n)  ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
#else
#define __Pyx_PyDict_NewPresized(n)  PyDict_New()
#endif
#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_TrueDivide(x,y)
  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceTrueDivide(x,y)
#else
  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_Divide(x,y)
  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceDivide(x,y)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS
#define __Pyx_PyDict_GetItemStr(dict, name)  _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
#else
#define __Pyx_PyDict_GetItemStr(dict, name)  PyDict_GetItem(dict, name)
#endif
#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
  #define CYTHON_PEP393_ENABLED 1
  #define __Pyx_PyUnicode_READY(op)       (likely(PyUnicode_IS_READY(op)) ?\
                                              0 : _PyUnicode_Ready((PyObject *)(op)))
  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_LENGTH(u)
  #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   PyUnicode_MAX_CHAR_VALUE(u)
  #define __Pyx_PyUnicode_KIND(u)         PyUnicode_KIND(u)
  #define __Pyx_PyUnicode_DATA(u)         PyUnicode_DATA(u)
  #define __Pyx_PyUnicode_READ(k, d, i)   PyUnicode_READ(k, d, i)
  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  PyUnicode_WRITE(k, d, i, ch)
  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
#else
  #define CYTHON_PEP393_ENABLED 0
  #define PyUnicode_1BYTE_KIND  1
  #define PyUnicode_2BYTE_KIND  2
  #define PyUnicode_4BYTE_KIND  4
  #define __Pyx_PyUnicode_READY(op)       (0)
  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_SIZE(u)
  #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)
  #define __Pyx_PyUnicode_KIND(u)         (sizeof(Py_UNICODE))
  #define __Pyx_PyUnicode_DATA(u)         ((void*)PyUnicode_AS_UNICODE(u))
  #define __Pyx_PyUnicode_READ(k, d, i)   ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  (((void)(k)), ((Py_UNICODE*)d)[i] = ch)
  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != PyUnicode_GET_SIZE(u))
#endif
#if CYTHON_COMPILING_IN_PYPY
  #define __Pyx_PyUnicode_Concat(a, b)      PyNumber_Add(a, b)
  #define __Pyx_PyUnicode_ConcatSafe(a, b)  PyNumber_Add(a, b)
#else
  #define __Pyx_PyUnicode_Concat(a, b)      PyUnicode_Concat(a, b)
  #define __Pyx_PyUnicode_ConcatSafe(a, b)  ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
      PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
  #define PyUnicode_Contains(u, s)  PySequence_Contains(u, s)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)
  #define PyByteArray_Check(obj)  PyObject_TypeCheck(obj, &PyByteArray_Type)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)
  #define PyObject_Format(obj, fmt)  PyObject_CallMethod(obj, "__format__", "O", fmt)
#endif
#define __Pyx_PyString_FormatSafe(a, b)   ((unlikely((a) == Py_None || (PyString_Check(b) && !PyString_CheckExact(b)))) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
#define __Pyx_PyUnicode_FormatSafe(a, b)  ((unlikely((a) == Py_None || (PyUnicode_Check(b) && !PyUnicode_CheckExact(b)))) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
#if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyString_Format(a, b)  PyUnicode_Format(a, b)
#else
  #define __Pyx_PyString_Format(a, b)  PyString_Format(a, b)
#endif
#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)
  #define PyObject_ASCII(o)            PyObject_Repr(o)
#endif
#if PY_MAJOR_VERSION >= 3
  #define PyBaseString_Type            PyUnicode_Type
  #define PyStringObject               PyUnicodeObject
  #define PyString_Type                PyUnicode_Type
  #define PyString_Check               PyUnicode_Check
  #define PyString_CheckExact          PyUnicode_CheckExact
  #define PyObject_Unicode             PyObject_Str
#endif
#if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
  #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#else
  #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
  #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
#endif
#ifndef PySet_CheckExact
  #define PySet_CheckExact(obj)        (Py_TYPE(obj) == &PySet_Type)
#endif
#if CYTHON_ASSUME_SAFE_MACROS
  #define __Pyx_PySequence_SIZE(seq)  Py_SIZE(seq)
#else
  #define __Pyx_PySequence_SIZE(seq)  PySequence_Size(seq)
#endif
#if PY_MAJOR_VERSION >= 3
  #define PyIntObject                  PyLongObject
  #define PyInt_Type                   PyLong_Type
  #define PyInt_Check(op)              PyLong_Check(op)
  #define PyInt_CheckExact(op)         PyLong_CheckExact(op)
  #define PyInt_FromString             PyLong_FromString
  #define PyInt_FromUnicode            PyLong_FromUnicode
  #define PyInt_FromLong               PyLong_FromLong
  #define PyInt_FromSize_t             PyLong_FromSize_t
  #define PyInt_FromSsize_t            PyLong_FromSsize_t
  #define PyInt_AsLong                 PyLong_AsLong
  #define PyInt_AS_LONG                PyLong_AS_LONG
  #define PyInt_AsSsize_t              PyLong_AsSsize_t
  #define PyInt_AsUnsignedLongMask     PyLong_AsUnsignedLongMask
  #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
  #define PyNumber_Int                 PyNumber_Long
#endif
#if PY_MAJOR_VERSION >= 3
  #define PyBoolObject                 PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
  #ifndef PyUnicode_InternFromString
    #define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
  #endif
#endif
#if PY_VERSION_HEX < 0x030200A4
  typedef long Py_hash_t;
  #define __Pyx_PyInt_FromHash_t PyInt_FromLong
  #define __Pyx_PyInt_AsHash_t   PyInt_AsLong
#else
  #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
  #define __Pyx_PyInt_AsHash_t   PyInt_AsSsize_t
#endif
#if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func))
#else
  #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
#endif
#if CYTHON_USE_ASYNC_SLOTS
  #if PY_VERSION_HEX >= 0x030500B1
    #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
    #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
  #else
    #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
  #endif
#else
  #define __Pyx_PyType_AsAsync(obj) NULL
#endif
#ifndef __Pyx_PyAsyncMethodsStruct
    typedef struct {
        unaryfunc am_await;
        unaryfunc am_aiter;
        unaryfunc am_anext;
    } __Pyx_PyAsyncMethodsStruct;
#endif

#if defined(WIN32) || defined(MS_WINDOWS)
  #define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
  float value;
  memset(&value, 0xFF, sizeof(value));
  return value;
}
#endif
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
#else
#define __Pyx_truncl truncl
#endif


#define __PYX_ERR(f_index, lineno, Ln_error) \
{ \
  __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \
}

#ifndef __PYX_EXTERN_C
  #ifdef __cplusplus
    #define __PYX_EXTERN_C extern "C"
  #else
    #define __PYX_EXTERN_C extern
  #endif
#endif

#define __PYX_HAVE__gnocis__models
#define __PYX_HAVE_API__gnocis__models
/* Early includes */
#include <string.h>
#include <stdlib.h>
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */

#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
#endif

typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
                const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;

#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_UTF8 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT (PY_MAJOR_VERSION >= 3 && __PYX_DEFAULT_STRING_ENCODING_IS_UTF8)
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed)  (\
    (sizeof(type) < sizeof(Py_ssize_t))  ||\
    (sizeof(type) > sizeof(Py_ssize_t) &&\
          likely(v < (type)PY_SSIZE_T_MAX ||\
                 v == (type)PY_SSIZE_T_MAX)  &&\
          (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
                                v == (type)PY_SSIZE_T_MIN)))  ||\
    (sizeof(type) == sizeof(Py_ssize_t) &&\
          (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
                               v == (type)PY_SSIZE_T_MAX)))  )
static CYTHON_INLINE int __Pyx_is_valid_index(Py_ssize_t i, Py_ssize_t limit) {
    return (size_t) i < (size_t) limit;
}
#if defined (__cplusplus) && __cplusplus >= 201103L
    #include <cstdlib>
    #define __Pyx_sst_abs(value) std::abs(value)
#elif SIZEOF_INT >= SIZEOF_SIZE_T
    #define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
    #define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER)
    #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
    #define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
    #define __Pyx_sst_abs(value) __builtin_llabs(value)
#else
    #define __Pyx_sst_abs(value) ((value<0) ? -value : value)
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString        PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
    #define __Pyx_PyStr_FromString        __Pyx_PyBytes_FromString
    #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
    #define __Pyx_PyStr_FromString        __Pyx_PyUnicode_FromString
    #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
#endif
#define __Pyx_PyBytes_AsWritableString(s)     ((char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableSString(s)    ((signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableUString(s)    ((unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsString(s)     ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s)    ((const signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsUString(s)    ((const unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyObject_AsWritableString(s)    ((char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableSString(s)    ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableUString(s)    ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsSString(s)    ((const signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s)    ((const unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s)  __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s)   __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s)   __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s)     __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
    const Py_UNICODE *u_end = u;
    while (*u_end++) ;
    return (size_t)(u_end - u - 1);
}
#define __Pyx_PyUnicode_FromUnicode(u)       PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode            PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
    (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
    PyObject* sys;
    PyObject* default_encoding = NULL;
    PyObject* ascii_chars_u = NULL;
    PyObject* ascii_chars_b = NULL;
    const char* default_encoding_c;
    sys = PyImport_ImportModule("sys");
    if (!sys) goto bad;
    default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
    Py_DECREF(sys);
    if (!default_encoding) goto bad;
    default_encoding_c = PyBytes_AsString(default_encoding);
    if (!default_encoding_c) goto bad;
    if (strcmp(default_encoding_c, "ascii") == 0) {
        __Pyx_sys_getdefaultencoding_not_ascii = 0;
    } else {
        char ascii_chars[128];
        int c;
        for (c = 0; c < 128; c++) {
            ascii_chars[c] = c;
        }
        __Pyx_sys_getdefaultencoding_not_ascii = 1;
        ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
        if (!ascii_chars_u) goto bad;
        ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
        if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
            PyErr_Format(
                PyExc_ValueError,
                "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
                default_encoding_c);
            goto bad;
        }
        Py_DECREF(ascii_chars_u);
        Py_DECREF(ascii_chars_b);
    }
    Py_DECREF(default_encoding);
    return 0;
bad:
    Py_XDECREF(default_encoding);
    Py_XDECREF(ascii_chars_u);
    Py_XDECREF(ascii_chars_b);
    return -1;
}
#endif
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
#else
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
static char* __PYX_DEFAULT_STRING_ENCODING;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
    PyObject* sys;
    PyObject* default_encoding = NULL;
    char* default_encoding_c;
    sys = PyImport_ImportModule("sys");
    if (!sys) goto bad;
    default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
    Py_DECREF(sys);
    if (!default_encoding) goto bad;
    default_encoding_c = PyBytes_AsString(default_encoding);
    if (!default_encoding_c) goto bad;
    __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c) + 1);
    if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
    strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
    Py_DECREF(default_encoding);
    return 0;
bad:
    Py_XDECREF(default_encoding);
    return -1;
}
#endif
#endif


/* Test for GCC > 2.95 */
#if defined(__GNUC__)     && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
  #define likely(x)   __builtin_expect(!!(x), 1)
  #define unlikely(x) __builtin_expect(!!(x), 0)
#else /* !__GNUC__ or GCC < 2.95 */
  #define likely(x)   (x)
  #define unlikely(x) (x)
#endif /* __GNUC__ */
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }

static PyObject *__pyx_m = NULL;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_cython_runtime = NULL;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static PyObject *__pyx_empty_unicode;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;


static const char *__pyx_f[] = {
  "gnocis/models.pyx",
  "gnocis/regions.pxd",
  "gnocis/sequences.pxd",
  "gnocis/features.pxd",
  "gnocis/validation.pxd",
};

/*--- Type declarations ---*/
struct __pyx_obj_6gnocis_7regions_region;
struct __pyx_obj_6gnocis_7regions_regions;
struct __pyx_obj_6gnocis_9sequences_sequence;
struct __pyx_obj_6gnocis_9sequences_sequences;
struct __pyx_obj_6gnocis_9sequences_sequenceStream;
struct __pyx_obj_6gnocis_9sequences_sequenceGenerator;
struct __pyx_obj_6gnocis_9sequences_generatorMarkovChain;
struct __pyx_obj_6gnocis_9sequences_generatorIID;
struct __pyx_obj_6gnocis_8features_feature;
struct __pyx_obj_6gnocis_8features_features;
struct __pyx_obj_6gnocis_8features_scaledFeature;
struct __pyx_obj_6gnocis_8features_featureScaler;
struct __pyx_obj_6gnocis_8features_featureMotifOccurrenceFrequency;
struct __pyx_obj_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency;
struct __pyx_obj_6gnocis_8features_kSpectrumFeature;
struct __pyx_obj_6gnocis_8features_kSpectrum;
struct __pyx_obj_6gnocis_8features_kSpectrumMMFeature;
struct __pyx_obj_6gnocis_8features_kSpectrumMM;
struct __pyx_obj_6gnocis_8features_kSpectrumMMDFeature;
struct __pyx_obj_6gnocis_8features_kSpectrumMMD;
struct __pyx_obj_6gnocis_8features_kSpectrumFeaturePDS;
struct __pyx_obj_6gnocis_8features_kSpectrumPDS;
struct __pyx_obj_6gnocis_10validation_point2D;
struct __pyx_obj_6gnocis_10validation_validationPair;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr;
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor;
struct __pyx_opt_args_6gnocis_9sequences_streamFASTA;
struct __pyx_opt_args_6gnocis_9sequences_stream2bit;
struct __pyx_opt_args_6gnocis_9sequences_getSequenceStreamFromPath;

/* "sequences.pxd":42
 * 
 * # Streams a FASTA file in blocks.
 * cpdef streamFASTA(path, wantBlockSize = *, spacePrune = *, dropChr = *, restrictToSequences = *)             # <<<<<<<<<<<<<<
 * 
 * # Streams a 2bit file in blocks.
 */
struct __pyx_opt_args_6gnocis_9sequences_streamFASTA {
  int __pyx_n;
  PyObject *wantBlockSize;
  PyObject *spacePrune;
  PyObject *dropChr;
  PyObject *restrictToSequences;
};

/* "sequences.pxd":45
 * 
 * # Streams a 2bit file in blocks.
 * cpdef stream2bit(path, wantBlockSize = *, spacePrune = *, dropChr = *, restrictToSequences = *)             # <<<<<<<<<<<<<<
 * 
 * # Gets a sequence stream based on a path, deciding on the format from the path.
 */
struct __pyx_opt_args_6gnocis_9sequences_stream2bit {
  int __pyx_n;
  PyObject *wantBlockSize;
  PyObject *spacePrune;
  PyObject *dropChr;
  PyObject *restrictToSequences;
};

/* "sequences.pxd":48
 * 
 * # Gets a sequence stream based on a path, deciding on the format from the path.
 * cpdef getSequenceStreamFromPath(path, wantBlockSize = *, spacePrune = *, dropChr = *, restrictToSequences = *)             # <<<<<<<<<<<<<<
 * 
 * ###########################################################################
 */
struct __pyx_opt_args_6gnocis_9sequences_getSequenceStreamFromPath {
  int __pyx_n;
  PyObject *wantBlockSize;
  PyObject *spacePrune;
  PyObject *dropChr;
  PyObject *restrictToSequences;
};

/* "regions.pxd":16
 * 
 * # Represents regions.
 * cdef class region:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public str seq
 */
struct __pyx_obj_6gnocis_7regions_region {
  PyObject_HEAD
  PyObject *seq;
  PY_LONG_LONG start;
  PY_LONG_LONG end;
  bool strand;
  float score;
  PyObject *source;
  PyObject *feature;
  PyObject *group;
  PyObject *ext;
  PyObject *markers;
};


/* "regions.pxd":27
 * 
 * # Represents region sets. Supports operands '+' for adding regions from two sets with no merging, '|' for merging two sets, and '^' for excluding the regions in the latter set from the first.
 * cdef class regions:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public str name
 */
struct __pyx_obj_6gnocis_7regions_regions {
  PyObject_HEAD
  PyObject *name;
  PyObject *regions;
};


/* "sequences.pxd":17
 * 
 * # Represents and loads DNA sequences.
 * cdef class sequence:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public str name, seq, path, annotation
 */
struct __pyx_obj_6gnocis_9sequences_sequence {
  PyObject_HEAD
  struct __pyx_vtabstruct_6gnocis_9sequences_sequence *__pyx_vtab;
  PyObject *name;
  PyObject *seq;
  PyObject *path;
  PyObject *annotation;
  struct __pyx_obj_6gnocis_7regions_region *sourceRegion;
  PyObject *cbytes;
  PyObject *cbytesIndexed;
};


/* "sequences.pxd":26
 * 
 * # Represents a set of DNA sequences.
 * cdef class sequences:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public str name
 */
struct __pyx_obj_6gnocis_9sequences_sequences {
  PyObject_HEAD
  PyObject *name;
  PyObject *sequences;
};


/* "sequences.pxd":38
 * 
 * # Represents sequence streams.
 * cdef class sequenceStream:             # <<<<<<<<<<<<<<
 * 	pass
 * 
 */
struct __pyx_obj_6gnocis_9sequences_sequenceStream {
  PyObject_HEAD
};


/* "sequences.pxd":54
 * 
 * # Represents sequence streams
 * cdef class sequenceGenerator:             # <<<<<<<<<<<<<<
 * 	pass
 * 
 */
struct __pyx_obj_6gnocis_9sequences_sequenceGenerator {
  PyObject_HEAD
};


/* "sequences.pxd":57
 * 	pass
 * 
 * cdef class generatorMarkovChain(sequenceGenerator):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public int degree, pseudoCounts, nGenerated
 */
struct __pyx_obj_6gnocis_9sequences_generatorMarkovChain {
  struct __pyx_obj_6gnocis_9sequences_sequenceGenerator __pyx_base;
  int degree;
  int pseudoCounts;
  int nGenerated;
  bool addReverseComplements;
  bool prepared;
  PyObject *trainingSequences;
  PyObject *spectrum;
  PyObject *initialDistribution;
  PyObject *probspectrum;
  PyObject *comparableSpectrum;
};


/* "sequences.pxd":67
 * 
 * # IID sequence model
 * cdef class generatorIID(sequenceGenerator):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public int pseudoCounts, nGenerated
 */
struct __pyx_obj_6gnocis_9sequences_generatorIID {
  struct __pyx_obj_6gnocis_9sequences_sequenceGenerator __pyx_base;
  int pseudoCounts;
  int nGenerated;
  bool addComplements;
  bool prepared;
  PyObject *trainingSequences;
  PyObject *spectrum;
  PyObject *ntDistribution;
};


/* "features.pxd":17
 * # Sequence features
 * 
 * cdef class feature:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public sequence cachedSequence
 */
struct __pyx_obj_6gnocis_8features_feature {
  PyObject_HEAD
  struct __pyx_vtabstruct_6gnocis_8features_feature *__pyx_vtab;
  struct __pyx_obj_6gnocis_9sequences_sequence *cachedSequence;
  double cachedValue;
};


/* "features.pxd":24
 * 
 * # Represents feature sets.
 * cdef class features:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public str name
 */
struct __pyx_obj_6gnocis_8features_features {
  PyObject_HEAD
  struct __pyx_vtabstruct_6gnocis_8features_features *__pyx_vtab;
  PyObject *name;
  PyObject *features;
  PyObject *values;
  int nvalues;
};


/* "features.pxd":33
 * 	cpdef list getAll(self, sequence seq)
 * 
 * cdef class scaledFeature(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public float vScale, vSub
 */
struct __pyx_obj_6gnocis_8features_scaledFeature {
  struct __pyx_obj_6gnocis_8features_feature __pyx_base;
  float vScale;
  float vSub;
  struct __pyx_obj_6gnocis_8features_feature *feature;
};


/* "features.pxd":40
 * 	cpdef double get(self, sequence seq)
 * 
 * cdef class featureScaler(features):             # <<<<<<<<<<<<<<
 * 
 * 	cpdef list getAll(self, sequence seq)
 */
struct __pyx_obj_6gnocis_8features_featureScaler {
  struct __pyx_obj_6gnocis_8features_features __pyx_base;
};


/* "features.pxd":49
 * 
 * # Sequence model feature for motif occurrence frequency.
 * cdef class featureMotifOccurrenceFrequency(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public object m
 */
struct __pyx_obj_6gnocis_8features_featureMotifOccurrenceFrequency {
  struct __pyx_obj_6gnocis_8features_feature __pyx_base;
  PyObject *m;
};


/* "features.pxd":56
 * 
 * # Sequence model feature for PREdictor-style motif pair occurrence frequency.
 * cdef class featurePREdictorMotifPairOccurrenceFrequency(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public object mA, mB
 */
struct __pyx_obj_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency {
  struct __pyx_obj_6gnocis_8features_feature __pyx_base;
  PyObject *mA;
  PyObject *mB;
  int distCut;
};


/* "features.pxd":68
 * 
 * # k-mer for k-spectrum feature set
 * cdef class kSpectrumFeature(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public kSpectrum parent
 */
struct __pyx_obj_6gnocis_8features_kSpectrumFeature {
  struct __pyx_obj_6gnocis_8features_feature __pyx_base;
  struct __pyx_obj_6gnocis_8features_kSpectrum *parent;
  PyObject *kmer;
  int index;
};


/* "features.pxd":77
 * 
 * # Extracts k-mer spectra from sequences
 * cdef class kSpectrum:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public int nspectrum, nFeatures, bitmask
 */
struct __pyx_obj_6gnocis_8features_kSpectrum {
  PyObject_HEAD
  struct __pyx_vtabstruct_6gnocis_8features_kSpectrum *__pyx_vtab;
  int nspectrum;
  int nFeatures;
  int bitmask;
  PyObject *kmerByIndex;
  PyObject *features;
  struct __pyx_obj_6gnocis_9sequences_sequence *cachedSequence;
  PyObject *cachedSpectrum;
};


/* "features.pxd":91
 * 
 * # k-mer for k-spectrum feature set
 * cdef class kSpectrumMMFeature(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public kSpectrumMM parent
 */
struct __pyx_obj_6gnocis_8features_kSpectrumMMFeature {
  struct __pyx_obj_6gnocis_8features_feature __pyx_base;
  struct __pyx_obj_6gnocis_8features_kSpectrumMM *parent;
  PyObject *kmer;
  int index;
};


/* "features.pxd":100
 * 
 * # Extracts k-mer spectra from sequences
 * cdef class kSpectrumMM:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public int nspectrum, nFeatures, bitmask
 */
struct __pyx_obj_6gnocis_8features_kSpectrumMM {
  PyObject_HEAD
  struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMM *__pyx_vtab;
  int nspectrum;
  int nFeatures;
  int bitmask;
  PyObject *kmerByIndex;
  PyObject *features;
  struct __pyx_obj_6gnocis_9sequences_sequence *cachedSequence;
  PyObject *cachedSpectrum;
};


/* "features.pxd":116
 * 
 * # k-mer for k-spectrum feature set
 * cdef class kSpectrumMMDFeature(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public kSpectrumMMD parent
 */
struct __pyx_obj_6gnocis_8features_kSpectrumMMDFeature {
  struct __pyx_obj_6gnocis_8features_feature __pyx_base;
  struct __pyx_obj_6gnocis_8features_kSpectrumMMD *parent;
  PyObject *kmer;
  int index;
};


/* "features.pxd":125
 * 
 * # Extracts k-mer spectra from sequences
 * cdef class kSpectrumMMD:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public int nspectrum, nFeatures, bitmask
 */
struct __pyx_obj_6gnocis_8features_kSpectrumMMD {
  PyObject_HEAD
  struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMMD *__pyx_vtab;
  int nspectrum;
  int nFeatures;
  int bitmask;
  PyObject *kmerByIndex;
  PyObject *features;
  struct __pyx_obj_6gnocis_9sequences_sequence *cachedSequence;
  PyObject *cachedSpectrum;
};


/* "features.pxd":140
 * 
 * # k-mer for k-spectrum feature set
 * cdef class kSpectrumFeaturePDS(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public kSpectrumPDS parent
 */
struct __pyx_obj_6gnocis_8features_kSpectrumFeaturePDS {
  struct __pyx_obj_6gnocis_8features_feature __pyx_base;
  struct __pyx_obj_6gnocis_8features_kSpectrumPDS *parent;
  PyObject *kmer;
  int index;
  bool section;
};


/* "features.pxd":150
 * 
 * # Extracts k-mer spectra from sequences
 * cdef class kSpectrumPDS:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public int nspectrum, nkmers, nFeatures, bitmask
 */
struct __pyx_obj_6gnocis_8features_kSpectrumPDS {
  PyObject_HEAD
  struct __pyx_vtabstruct_6gnocis_8features_kSpectrumPDS *__pyx_vtab;
  int nspectrum;
  int nkmers;
  int nFeatures;
  int bitmask;
  PyObject *kmerByIndex;
  PyObject *features;
  struct __pyx_obj_6gnocis_9sequences_sequence *cachedSequence;
  PyObject *cachedSpectrum;
};


/* "validation.pxd":17
 * 
 * # Represents a two-dimensional point.
 * cdef class point2D:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public float x, y
 */
struct __pyx_obj_6gnocis_10validation_point2D {
  PyObject_HEAD
  float x;
  float y;
};


/* "validation.pxd":22
 * 
 * # Represents a pair of a validation score and label (with the option of a name).
 * cdef class validationPair:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public float score
 */
struct __pyx_obj_6gnocis_10validation_validationPair {
  PyObject_HEAD
  float score;
  bool label;
  PyObject *name;
};


/* "gnocis/models.pyx":31
 * 
 * # Used for applying models in separate processes
 * def multiprocessModelDeployer(args):             # <<<<<<<<<<<<<<
 * 	cdef sequences seqs
 * 	cdef sequence seq, win
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_9sequences_sequence *__pyx_7genexpr__pyx_v_seq;
  int __pyx_v_windowSize;
  int __pyx_v_windowStep;
};


/* "gnocis/models.pyx":42
 * 		max(
 * 			(
 * 				model.scoreWindow(win)             # <<<<<<<<<<<<<<
 * 				for win in
 * 				seq.getWindows(windowSize, windowStep)
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *__pyx_outer_scope;
  PyObject *__pyx_v_win;
  PyObject *__pyx_t_0;
  Py_ssize_t __pyx_t_1;
  PyObject *(*__pyx_t_2)(PyObject *);
};


/* "gnocis/models.pyx":78
 * 			break
 * 
 * def getPoolProcessIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	while True:
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs {
  PyObject_HEAD
  PyObject *__pyx_v_pool;
};


/* "gnocis/models.pyx":81
 * 	pIDs = set()
 * 	while True:
 * 		pIDs = pIDs | set( v for v in pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) if v != None )             # <<<<<<<<<<<<<<
 * 		if len(pIDs) == len(pool._pool):
 * 			return pIDs
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *__pyx_outer_scope;
  Py_ssize_t __pyx_8genexpr4__pyx_v__;
  PyObject *__pyx_v_v;
};


/* "gnocis/models.pyx":85
 * 			return pIDs
 * 
 * def getPoolModelIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	mIDs = set()
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs {
  PyObject_HEAD
  PyObject *__pyx_v_r;
};


/* "gnocis/models.pyx":90
 * 	while True:
 * 		r = pool.map( getPoolProcessModelID, [ () for _ in range(len(pool._pool)) ] )
 * 		pIDs = pIDs | set( pid for pid, mid in r if pid != None )             # <<<<<<<<<<<<<<
 * 		mIDs = mIDs | set( mid for pid, mid in r if pid != None )
 * 		if len(pIDs) == len(pool._pool):
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *__pyx_outer_scope;
  PyObject *__pyx_v_mid;
  PyObject *__pyx_v_pid;
};


/* "gnocis/models.pyx":91
 * 		r = pool.map( getPoolProcessModelID, [ () for _ in range(len(pool._pool)) ] )
 * 		pIDs = pIDs | set( pid for pid, mid in r if pid != None )
 * 		mIDs = mIDs | set( mid for pid, mid in r if pid != None )             # <<<<<<<<<<<<<<
 * 		if len(pIDs) == len(pool._pool):
 * 			return mIDs
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *__pyx_outer_scope;
  PyObject *__pyx_v_mid;
  PyObject *__pyx_v_pid;
};


/* "gnocis/models.pyx":104
 * 	return (processID, model != None)
 * 
 * def setPoolModel(pool, mdl):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	if mdl == None:
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel {
  PyObject_HEAD
  PyObject *__pyx_v_r;
};


/* "gnocis/models.pyx":113
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 * 			# We append the process-IDs that we confirmed are done
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if not hasModel )             # <<<<<<<<<<<<<<
 * 			if len(pIDs) == len(pool._pool):
 * 				break
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *__pyx_outer_scope;
  PyObject *__pyx_v_hasModel;
  PyObject *__pyx_v_pid;
};


/* "gnocis/models.pyx":124
 * 			pool.map( setPoolProcessModel, [ mdl for _ in range(len(pool._pool)) ] )
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if hasModel )             # <<<<<<<<<<<<<<
 * 			if len(pIDs) == len(pool._pool):
 * 				break
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *__pyx_outer_scope;
  PyObject *__pyx_v_hasModel;
  PyObject *__pyx_v_pid;
};


/* "gnocis/models.pyx":293
 * 
 * 	# Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 	def calibrateGenomewidePrecision(self, positives, genome, factor = 1.0, precision = 0.8, bgModelOrder = 4, bgModel = None):             # <<<<<<<<<<<<<<
 * 		""" Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision {
  PyObject_HEAD
  PyObject *__pyx_v_positives;
  PyObject *__pyx_v_seqLens;
};


/* "gnocis/models.pyx":317
 * 			genome = getSequenceStreamFromPath(genome)
 * 		seqLens = genome.getSequenceLengths()
 * 		genomeLen = sum(seqLens[chrom] for chrom in seqLens.keys())             # <<<<<<<<<<<<<<
 * 		# Train background model
 * 		if bgModel == None:
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *__pyx_outer_scope;
  PyObject *__pyx_v_chrom;
  PyObject *__pyx_t_0;
  Py_ssize_t __pyx_t_1;
  Py_ssize_t __pyx_t_2;
  int __pyx_t_3;
};


/* "gnocis/models.pyx":324
 * 				else generatorMarkovChain(trainingSequences = genome, degree = bgModelOrder)
 * 		# Generate calibration sequences
 * 		meanLen = int(sum(len(s) for s in positives) / len(positives))             # <<<<<<<<<<<<<<
 * 		negatives = bgModel.generateStream(n = int(factor * genomeLen / meanLen), length = meanLen)
 * 		# Calibrate threshold
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *__pyx_outer_scope;
  PyObject *__pyx_v_s;
  PyObject *__pyx_t_0;
  Py_ssize_t __pyx_t_1;
  PyObject *(*__pyx_t_2)(PyObject *);
};


/* "gnocis/models.pyx":331
 * 
 * 	# Applies model to a sequence with a sliding window, and returns the maximum score.
 * 	def scoreSequence(self, seq):             # <<<<<<<<<<<<<<
 * 		""" Scores a single sequence. The score is determined by applying the model with a sliding window, and taking the maximum score.
 * 
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence {
  PyObject_HEAD
  PyObject *__pyx_v_self;
  PyObject *__pyx_v_seq;
};


/* "gnocis/models.pyx":344
 * 		score = max(
 * 			(
 * 				self.scoreWindow(win)             # <<<<<<<<<<<<<<
 * 				for win in
 * 				seq.getWindows(self.windowSize, self.windowStep)
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *__pyx_outer_scope;
  PyObject *__pyx_v_win;
  PyObject *__pyx_t_0;
  Py_ssize_t __pyx_t_1;
  PyObject *(*__pyx_t_2)(PyObject *);
};


/* "gnocis/models.pyx":458
 * 
 * 	# Returns cross-validation statistics dictionary, with random training set splitting and training and testing on independent halves.
 * 	def getCrossValidationStatisticsRandomHalves(self, positives, negatives, nfolds):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves {
  PyObject_HEAD
  PyObject *__pyx_v_foldStats;
  PyObject *__pyx_v_stat;
};


/* "gnocis/models.pyx":477
 * 				foldStats[-1][k] = CMStats[k]
 * 		for stat in foldStats[0].keys():
 * 			stats[stat] = sum(v[stat] for v in foldStats) / nfolds             # <<<<<<<<<<<<<<
 * 		return stats
 * 
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *__pyx_outer_scope;
  PyObject *__pyx_v_v;
  PyObject *__pyx_t_0;
  Py_ssize_t __pyx_t_1;
};


/* "gnocis/models.pyx":610
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)
 * 
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor {
  PyObject_HEAD
  PyObject *__pyx_v_self;
};


/* "gnocis/models.pyx":640
 * 	"""
 * 
 * 	def __init__(self, features, trainingPositives, trainingNegatives, windowSize, windowStep):             # <<<<<<<<<<<<<<
 * 		self.threshold = 0.0
 * 		self.features = features
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ {
  PyObject_HEAD
  PyObject *__pyx_v_f;
  PyObject *__pyx_v_trainingNegatives;
  PyObject *__pyx_v_trainingPositives;
};


/* "gnocis/models.pyx":648
 * 		self.sortedweights = []
 * 		for f in features:
 * 			vPos = sum( f.get(s) for s in trainingPositives )             # <<<<<<<<<<<<<<
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )
 * 			if vPos == 0.0 or vNeg == 0.0:
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *__pyx_outer_scope;
  PyObject *__pyx_v_s;
  PyObject *__pyx_t_0;
  Py_ssize_t __pyx_t_1;
  PyObject *(*__pyx_t_2)(PyObject *);
};


/* "gnocis/models.pyx":649
 * 		for f in features:
 * 			vPos = sum( f.get(s) for s in trainingPositives )
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )             # <<<<<<<<<<<<<<
 * 			if vPos == 0.0 or vNeg == 0.0:
 * 				vPos += 1.0
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr {
  PyObject_HEAD
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *__pyx_outer_scope;
  PyObject *__pyx_v_s;
  PyObject *__pyx_t_0;
  Py_ssize_t __pyx_t_1;
  PyObject *(*__pyx_t_2)(PyObject *);
};


/* "gnocis/models.pyx":662
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)
 * 
 */
struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor {
  PyObject_HEAD
  PyObject *__pyx_v_self;
};



/* "sequences.pxd":17
 * 
 * # Represents and loads DNA sequences.
 * cdef class sequence:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public str name, seq, path, annotation
 */

struct __pyx_vtabstruct_6gnocis_9sequences_sequence {
  PyObject *(*getBytes)(struct __pyx_obj_6gnocis_9sequences_sequence *);
  PyObject *(*getBytesIndexed)(struct __pyx_obj_6gnocis_9sequences_sequence *);
};
static struct __pyx_vtabstruct_6gnocis_9sequences_sequence *__pyx_vtabptr_6gnocis_9sequences_sequence;


/* "features.pxd":17
 * # Sequence features
 * 
 * cdef class feature:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public sequence cachedSequence
 */

struct __pyx_vtabstruct_6gnocis_8features_feature {
  double (*get)(struct __pyx_obj_6gnocis_8features_feature *, struct __pyx_obj_6gnocis_9sequences_sequence *, int __pyx_skip_dispatch);
};
static struct __pyx_vtabstruct_6gnocis_8features_feature *__pyx_vtabptr_6gnocis_8features_feature;


/* "features.pxd":24
 * 
 * # Represents feature sets.
 * cdef class features:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public str name
 */

struct __pyx_vtabstruct_6gnocis_8features_features {
  PyObject *(*getAll)(struct __pyx_obj_6gnocis_8features_features *, struct __pyx_obj_6gnocis_9sequences_sequence *, int __pyx_skip_dispatch);
};
static struct __pyx_vtabstruct_6gnocis_8features_features *__pyx_vtabptr_6gnocis_8features_features;


/* "features.pxd":33
 * 	cpdef list getAll(self, sequence seq)
 * 
 * cdef class scaledFeature(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public float vScale, vSub
 */

struct __pyx_vtabstruct_6gnocis_8features_scaledFeature {
  struct __pyx_vtabstruct_6gnocis_8features_feature __pyx_base;
};
static struct __pyx_vtabstruct_6gnocis_8features_scaledFeature *__pyx_vtabptr_6gnocis_8features_scaledFeature;


/* "features.pxd":40
 * 	cpdef double get(self, sequence seq)
 * 
 * cdef class featureScaler(features):             # <<<<<<<<<<<<<<
 * 
 * 	cpdef list getAll(self, sequence seq)
 */

struct __pyx_vtabstruct_6gnocis_8features_featureScaler {
  struct __pyx_vtabstruct_6gnocis_8features_features __pyx_base;
};
static struct __pyx_vtabstruct_6gnocis_8features_featureScaler *__pyx_vtabptr_6gnocis_8features_featureScaler;


/* "features.pxd":49
 * 
 * # Sequence model feature for motif occurrence frequency.
 * cdef class featureMotifOccurrenceFrequency(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public object m
 */

struct __pyx_vtabstruct_6gnocis_8features_featureMotifOccurrenceFrequency {
  struct __pyx_vtabstruct_6gnocis_8features_feature __pyx_base;
};
static struct __pyx_vtabstruct_6gnocis_8features_featureMotifOccurrenceFrequency *__pyx_vtabptr_6gnocis_8features_featureMotifOccurrenceFrequency;


/* "features.pxd":56
 * 
 * # Sequence model feature for PREdictor-style motif pair occurrence frequency.
 * cdef class featurePREdictorMotifPairOccurrenceFrequency(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public object mA, mB
 */

struct __pyx_vtabstruct_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency {
  struct __pyx_vtabstruct_6gnocis_8features_feature __pyx_base;
};
static struct __pyx_vtabstruct_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency *__pyx_vtabptr_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency;


/* "features.pxd":68
 * 
 * # k-mer for k-spectrum feature set
 * cdef class kSpectrumFeature(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public kSpectrum parent
 */

struct __pyx_vtabstruct_6gnocis_8features_kSpectrumFeature {
  struct __pyx_vtabstruct_6gnocis_8features_feature __pyx_base;
};
static struct __pyx_vtabstruct_6gnocis_8features_kSpectrumFeature *__pyx_vtabptr_6gnocis_8features_kSpectrumFeature;


/* "features.pxd":77
 * 
 * # Extracts k-mer spectra from sequences
 * cdef class kSpectrum:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public int nspectrum, nFeatures, bitmask
 */

struct __pyx_vtabstruct_6gnocis_8features_kSpectrum {
  double (*extract)(struct __pyx_obj_6gnocis_8features_kSpectrum *, struct __pyx_obj_6gnocis_9sequences_sequence *, int);
};
static struct __pyx_vtabstruct_6gnocis_8features_kSpectrum *__pyx_vtabptr_6gnocis_8features_kSpectrum;


/* "features.pxd":91
 * 
 * # k-mer for k-spectrum feature set
 * cdef class kSpectrumMMFeature(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public kSpectrumMM parent
 */

struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMMFeature {
  struct __pyx_vtabstruct_6gnocis_8features_feature __pyx_base;
};
static struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMMFeature *__pyx_vtabptr_6gnocis_8features_kSpectrumMMFeature;


/* "features.pxd":100
 * 
 * # Extracts k-mer spectra from sequences
 * cdef class kSpectrumMM:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public int nspectrum, nFeatures, bitmask
 */

struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMM {
  double (*extract)(struct __pyx_obj_6gnocis_8features_kSpectrumMM *, struct __pyx_obj_6gnocis_9sequences_sequence *, int);
};
static struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMM *__pyx_vtabptr_6gnocis_8features_kSpectrumMM;


/* "features.pxd":116
 * 
 * # k-mer for k-spectrum feature set
 * cdef class kSpectrumMMDFeature(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public kSpectrumMMD parent
 */

struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMMDFeature {
  struct __pyx_vtabstruct_6gnocis_8features_feature __pyx_base;
};
static struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMMDFeature *__pyx_vtabptr_6gnocis_8features_kSpectrumMMDFeature;


/* "features.pxd":125
 * 
 * # Extracts k-mer spectra from sequences
 * cdef class kSpectrumMMD:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public int nspectrum, nFeatures, bitmask
 */

struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMMD {
  double (*extract)(struct __pyx_obj_6gnocis_8features_kSpectrumMMD *, struct __pyx_obj_6gnocis_9sequences_sequence *, int);
};
static struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMMD *__pyx_vtabptr_6gnocis_8features_kSpectrumMMD;


/* "features.pxd":140
 * 
 * # k-mer for k-spectrum feature set
 * cdef class kSpectrumFeaturePDS(feature):             # <<<<<<<<<<<<<<
 * 
 * 	cdef public kSpectrumPDS parent
 */

struct __pyx_vtabstruct_6gnocis_8features_kSpectrumFeaturePDS {
  struct __pyx_vtabstruct_6gnocis_8features_feature __pyx_base;
};
static struct __pyx_vtabstruct_6gnocis_8features_kSpectrumFeaturePDS *__pyx_vtabptr_6gnocis_8features_kSpectrumFeaturePDS;


/* "features.pxd":150
 * 
 * # Extracts k-mer spectra from sequences
 * cdef class kSpectrumPDS:             # <<<<<<<<<<<<<<
 * 
 * 	cdef public int nspectrum, nkmers, nFeatures, bitmask
 */

struct __pyx_vtabstruct_6gnocis_8features_kSpectrumPDS {
  double (*extract)(struct __pyx_obj_6gnocis_8features_kSpectrumPDS *, struct __pyx_obj_6gnocis_9sequences_sequence *, int);
};
static struct __pyx_vtabstruct_6gnocis_8features_kSpectrumPDS *__pyx_vtabptr_6gnocis_8features_kSpectrumPDS;

/* --- Runtime support code (head) --- */
/* Refnanny.proto */
#ifndef CYTHON_REFNANNY
  #define CYTHON_REFNANNY 0
#endif
#if CYTHON_REFNANNY
  typedef struct {
    void (*INCREF)(void*, PyObject*, int);
    void (*DECREF)(void*, PyObject*, int);
    void (*GOTREF)(void*, PyObject*, int);
    void (*GIVEREF)(void*, PyObject*, int);
    void* (*SetupContext)(const char*, int, const char*);
    void (*FinishContext)(void**);
  } __Pyx_RefNannyAPIStruct;
  static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL;
  static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname);
  #define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL;
#ifdef WITH_THREAD
  #define __Pyx_RefNannySetupContext(name, acquire_gil)\
          if (acquire_gil) {\
              PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure();\
              __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\
              PyGILState_Release(__pyx_gilstate_save);\
          } else {\
              __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\
          }
#else
  #define __Pyx_RefNannySetupContext(name, acquire_gil)\
          __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__)
#endif
  #define __Pyx_RefNannyFinishContext()\
          __Pyx_RefNanny->FinishContext(&__pyx_refnanny)
  #define __Pyx_INCREF(r)  __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_DECREF(r)  __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_GOTREF(r)  __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_XINCREF(r)  do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0)
  #define __Pyx_XDECREF(r)  do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
  #define __Pyx_XGOTREF(r)  do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
  #define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
#else
  #define __Pyx_RefNannyDeclarations
  #define __Pyx_RefNannySetupContext(name, acquire_gil)
  #define __Pyx_RefNannyFinishContext()
  #define __Pyx_INCREF(r) Py_INCREF(r)
  #define __Pyx_DECREF(r) Py_DECREF(r)
  #define __Pyx_GOTREF(r)
  #define __Pyx_GIVEREF(r)
  #define __Pyx_XINCREF(r) Py_XINCREF(r)
  #define __Pyx_XDECREF(r) Py_XDECREF(r)
  #define __Pyx_XGOTREF(r)
  #define __Pyx_XGIVEREF(r)
#endif
#define __Pyx_XDECREF_SET(r, v) do {\
        PyObject *tmp = (PyObject *) r;\
        r = v; __Pyx_XDECREF(tmp);\
    } while (0)
#define __Pyx_DECREF_SET(r, v) do {\
        PyObject *tmp = (PyObject *) r;\
        r = v; __Pyx_DECREF(tmp);\
    } while (0)
#define __Pyx_CLEAR(r)    do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
#define __Pyx_XCLEAR(r)   do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)

/* PyObjectGetAttrStr.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
#endif

/* GetBuiltinName.proto */
static PyObject *__Pyx_GetBuiltinName(PyObject *name);

/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseClosureNameError(const char *varname);

/* PyFunctionFastCall.proto */
#if CYTHON_FAST_PYCALL
#define __Pyx_PyFunction_FastCall(func, args, nargs)\
    __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs);
#else
#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
#endif
#define __Pyx_BUILD_ASSERT_EXPR(cond)\
    (sizeof(char [1 - 2*!(cond)]) - 1)
#ifndef Py_MEMBER_SIZE
#define Py_MEMBER_SIZE(type, member) sizeof(((type *)0)->member)
#endif
  static size_t __pyx_pyframe_localsplus_offset = 0;
  #include "frameobject.h"
  #define __Pxy_PyFrame_Initialize_Offsets()\
    ((void)__Pyx_BUILD_ASSERT_EXPR(sizeof(PyFrameObject) == offsetof(PyFrameObject, f_localsplus) + Py_MEMBER_SIZE(PyFrameObject, f_localsplus)),\
     (void)(__pyx_pyframe_localsplus_offset = ((size_t)PyFrame_Type.tp_basicsize) - Py_MEMBER_SIZE(PyFrameObject, f_localsplus)))
  #define __Pyx_PyFrame_GetLocalsplus(frame)\
    (assert(__pyx_pyframe_localsplus_offset), (PyObject **)(((char *)(frame)) + __pyx_pyframe_localsplus_offset))
#endif

/* PyCFunctionFastCall.proto */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
#else
#define __Pyx_PyCFunction_FastCall(func, args, nargs)  (assert(0), NULL)
#endif

/* PyObjectCall.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
#else
#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
#endif

/* PyDictVersioning.proto */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
#define __PYX_DICT_VERSION_INIT  ((PY_UINT64_T) -1)
#define __PYX_GET_DICT_VERSION(dict)  (((PyDictObject*)(dict))->ma_version_tag)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)\
    (version_var) = __PYX_GET_DICT_VERSION(dict);\
    (cache_var) = (value);
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP) {\
    static PY_UINT64_T __pyx_dict_version = 0;\
    static PyObject *__pyx_dict_cached_value = NULL;\
    if (likely(__PYX_GET_DICT_VERSION(DICT) == __pyx_dict_version)) {\
        (VAR) = __pyx_dict_cached_value;\
    } else {\
        (VAR) = __pyx_dict_cached_value = (LOOKUP);\
        __pyx_dict_version = __PYX_GET_DICT_VERSION(DICT);\
    }\
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj);
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj);
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version);
#else
#define __PYX_GET_DICT_VERSION(dict)  (0)
#define __PYX_UPDATE_DICT_CACHE(dict, value, cache_var, version_var)
#define __PYX_PY_DICT_LOOKUP_IF_MODIFIED(VAR, DICT, LOOKUP)  (VAR) = (LOOKUP);
#endif

/* GetModuleGlobalName.proto */
#if CYTHON_USE_DICT_VERSIONS
#define __Pyx_GetModuleGlobalName(var, name)  {\
    static PY_UINT64_T __pyx_dict_version = 0;\
    static PyObject *__pyx_dict_cached_value = NULL;\
    (var) = (likely(__pyx_dict_version == __PYX_GET_DICT_VERSION(__pyx_d))) ?\
        (likely(__pyx_dict_cached_value) ? __Pyx_NewRef(__pyx_dict_cached_value) : __Pyx_GetBuiltinName(name)) :\
        __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
}
#define __Pyx_GetModuleGlobalNameUncached(var, name)  {\
    PY_UINT64_T __pyx_dict_version;\
    PyObject *__pyx_dict_cached_value;\
    (var) = __Pyx__GetModuleGlobalName(name, &__pyx_dict_version, &__pyx_dict_cached_value);\
}
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value);
#else
#define __Pyx_GetModuleGlobalName(var, name)  (var) = __Pyx__GetModuleGlobalName(name)
#define __Pyx_GetModuleGlobalNameUncached(var, name)  (var) = __Pyx__GetModuleGlobalName(name)
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name);
#endif

/* PyObjectCall2Args.proto */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2);

/* PyObjectCallMethO.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
#endif

/* PyObjectCallOneArg.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);

/* ExtTypeTest.proto */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);

/* ListCompAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_ListComp_Append(PyObject* list, PyObject* x) {
    PyListObject* L = (PyListObject*) list;
    Py_ssize_t len = Py_SIZE(list);
    if (likely(L->allocated > len)) {
        Py_INCREF(x);
        PyList_SET_ITEM(list, len, x);
        Py_SIZE(list) = len+1;
        return 0;
    }
    return PyList_Append(list, x);
}
#else
#define __Pyx_ListComp_Append(L,x) PyList_Append(L,x)
#endif

/* PyObjectFormat.proto */
#if CYTHON_USE_UNICODE_WRITER
static PyObject* __Pyx_PyObject_Format(PyObject* s, PyObject* f);
#else
#define __Pyx_PyObject_Format(s, f) PyObject_Format(s, f)
#endif

/* IncludeStringH.proto */
#include <string.h>

/* JoinPyUnicode.proto */
static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength,
                                      Py_UCS4 max_char);

/* RaiseTooManyValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);

/* RaiseNeedMoreValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);

/* IterFinish.proto */
static CYTHON_INLINE int __Pyx_IterFinish(void);

/* UnpackItemEndCheck.proto */
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected);

/* RaiseArgTupleInvalid.proto */
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
    Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);

/* RaiseDoubleKeywords.proto */
static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);

/* ParseKeywords.proto */
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
    PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\
    const char* function_name);

/* PyObjectCallNoArg.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func);
#else
#define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL)
#endif

/* PyObjectSetAttrStr.proto */
#if CYTHON_USE_TYPE_SLOTS
#define __Pyx_PyObject_DelAttrStr(o,n) __Pyx_PyObject_SetAttrStr(o, n, NULL)
static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value);
#else
#define __Pyx_PyObject_DelAttrStr(o,n)   PyObject_DelAttr(o,n)
#define __Pyx_PyObject_SetAttrStr(o,n,v) PyObject_SetAttr(o,n,v)
#endif

/* PySequenceContains.proto */
static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* seq, int eq) {
    int result = PySequence_Contains(seq, item);
    return unlikely(result < 0) ? result : (result == (eq == Py_EQ));
}

/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
#else
#define __Pyx_PyInt_AddObjC(op1, op2, intval, inplace, zerodivision_check)\
    (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))
#endif

/* FetchCommonType.proto */
static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type);

/* CythonFunction.proto */
#define __Pyx_CyFunction_USED 1
#define __Pyx_CYFUNCTION_STATICMETHOD  0x01
#define __Pyx_CYFUNCTION_CLASSMETHOD   0x02
#define __Pyx_CYFUNCTION_CCLASS        0x04
#define __Pyx_CyFunction_GetClosure(f)\
    (((__pyx_CyFunctionObject *) (f))->func_closure)
#define __Pyx_CyFunction_GetClassObj(f)\
    (((__pyx_CyFunctionObject *) (f))->func_classobj)
#define __Pyx_CyFunction_Defaults(type, f)\
    ((type *)(((__pyx_CyFunctionObject *) (f))->defaults))
#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\
    ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g)
typedef struct {
    PyCFunctionObject func;
#if PY_VERSION_HEX < 0x030500A0
    PyObject *func_weakreflist;
#endif
    PyObject *func_dict;
    PyObject *func_name;
    PyObject *func_qualname;
    PyObject *func_doc;
    PyObject *func_globals;
    PyObject *func_code;
    PyObject *func_closure;
    PyObject *func_classobj;
    void *defaults;
    int defaults_pyobjects;
    int flags;
    PyObject *defaults_tuple;
    PyObject *defaults_kwdict;
    PyObject *(*defaults_getter)(PyObject *);
    PyObject *func_annotations;
} __pyx_CyFunctionObject;
static PyTypeObject *__pyx_CyFunctionType = 0;
#define __Pyx_CyFunction_Check(obj)  (__Pyx_TypeCheck(obj, __pyx_CyFunctionType))
#define __Pyx_CyFunction_NewEx(ml, flags, qualname, self, module, globals, code)\
    __Pyx_CyFunction_New(__pyx_CyFunctionType, ml, flags, qualname, self, module, globals, code)
static PyObject *__Pyx_CyFunction_New(PyTypeObject *, PyMethodDef *ml,
                                      int flags, PyObject* qualname,
                                      PyObject *self,
                                      PyObject *module, PyObject *globals,
                                      PyObject* code);
static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m,
                                                         size_t size,
                                                         int pyobjects);
static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m,
                                                            PyObject *tuple);
static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m,
                                                             PyObject *dict);
static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m,
                                                              PyObject *dict);
static int __pyx_CyFunction_init(void);

/* pyobject_as_double.proto */
static double __Pyx__PyObject_AsDouble(PyObject* obj);
#if CYTHON_COMPILING_IN_PYPY
#define __Pyx_PyObject_AsDouble(obj)\
(likely(PyFloat_CheckExact(obj)) ? PyFloat_AS_DOUBLE(obj) :\
 likely(PyInt_CheckExact(obj)) ?\
 PyFloat_AsDouble(obj) : __Pyx__PyObject_AsDouble(obj))
#else
#define __Pyx_PyObject_AsDouble(obj)\
((likely(PyFloat_CheckExact(obj))) ?\
 PyFloat_AS_DOUBLE(obj) : __Pyx__PyObject_AsDouble(obj))
#endif

/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
#else
#define __Pyx_PyInt_SubtractObjC(op1, op2, intval, inplace, zerodivision_check)\
    (inplace ? PyNumber_InPlaceSubtract(op1, op2) : PyNumber_Subtract(op1, op2))
#endif

/* PyObjectGetMethod.proto */
static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method);

/* PyObjectCallMethod0.proto */
static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name);

/* RaiseNoneIterError.proto */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);

/* UnpackTupleError.proto */
static void __Pyx_UnpackTupleError(PyObject *, Py_ssize_t index);

/* UnpackTuple2.proto */
#define __Pyx_unpack_tuple2(tuple, value1, value2, is_tuple, has_known_size, decref_tuple)\
    (likely(is_tuple || PyTuple_Check(tuple)) ?\
        (likely(has_known_size || PyTuple_GET_SIZE(tuple) == 2) ?\
            __Pyx_unpack_tuple2_exact(tuple, value1, value2, decref_tuple) :\
            (__Pyx_UnpackTupleError(tuple, 2), -1)) :\
        __Pyx_unpack_tuple2_generic(tuple, value1, value2, has_known_size, decref_tuple))
static CYTHON_INLINE int __Pyx_unpack_tuple2_exact(
    PyObject* tuple, PyObject** value1, PyObject** value2, int decref_tuple);
static int __Pyx_unpack_tuple2_generic(
    PyObject* tuple, PyObject** value1, PyObject** value2, int has_known_size, int decref_tuple);

/* dict_iter.proto */
static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* dict, int is_dict, PyObject* method_name,
                                                   Py_ssize_t* p_orig_length, int* p_is_dict);
static CYTHON_INLINE int __Pyx_dict_iter_next(PyObject* dict_or_iter, Py_ssize_t orig_length, Py_ssize_t* ppos,
                                              PyObject** pkey, PyObject** pvalue, PyObject** pitem, int is_dict);

/* GetItemInt.proto */
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
    __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
    (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
               __Pyx_GetItemInt_Generic(o, to_py_func(i))))
#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
    __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
    (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
                                                              int wraparound, int boundscheck);
#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
    __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
    (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
                                                              int wraparound, int boundscheck);
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
                                                     int is_list, int wraparound, int boundscheck);

/* ObjectGetItem.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key);
#else
#define __Pyx_PyObject_GetItem(obj, key)  PyObject_GetItem(obj, key)
#endif

/* SliceObject.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(
        PyObject* obj, Py_ssize_t cstart, Py_ssize_t cstop,
        PyObject** py_start, PyObject** py_stop, PyObject** py_slice,
        int has_cstart, int has_cstop, int wraparound);

/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_TrueDivideObjC(PyObject *op1, PyObject *op2, long intval, int inplace, int zerodivision_check);
#else
#define __Pyx_PyInt_TrueDivideObjC(op1, op2, intval, inplace, zerodivision_check)\
    (inplace ? PyNumber_InPlaceTrueDivide(op1, op2) : PyNumber_TrueDivide(op1, op2))
#endif

/* ListAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
    PyListObject* L = (PyListObject*) list;
    Py_ssize_t len = Py_SIZE(list);
    if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
        Py_INCREF(x);
        PyList_SET_ITEM(list, len, x);
        Py_SIZE(list) = len+1;
        return 0;
    }
    return PyList_Append(list, x);
}
#else
#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
#endif

/* DictGetItem.proto */
#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key);
#define __Pyx_PyObject_Dict_GetItem(obj, name)\
    (likely(PyDict_CheckExact(obj)) ?\
     __Pyx_PyDict_GetItem(obj, name) : PyObject_GetItem(obj, name))
#else
#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key)
#define __Pyx_PyObject_Dict_GetItem(obj, name)  PyObject_GetItem(obj, name)
#endif

/* PyObjectCallMethod1.proto */
static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg);

/* append.proto */
static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x);

/* BytesEquals.proto */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);

/* UnicodeEquals.proto */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);

/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);

/* PyFloatBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyFloat_EqObjC(PyObject *op1, PyObject *op2, double floatval, int inplace, int zerodivision_check);
#else
#define __Pyx_PyFloat_EqObjC(op1, op2, floatval, inplace, zerodivision_check)\
    (PyObject_RichCompare(op1, op2, Py_EQ))
    #endif

/* PyFloatBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyFloat_AddObjC(PyObject *op1, PyObject *op2, double floatval, int inplace, int zerodivision_check);
#else
#define __Pyx_PyFloat_AddObjC(op1, op2, floatval, inplace, zerodivision_check)\
    (inplace ? PyNumber_InPlaceAdd(op1, op2) : PyNumber_Add(op1, op2))
#endif

/* PyObject_GenericGetAttrNoDict.proto */
#if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GenericGetAttrNoDict PyObject_GenericGetAttr
#endif

/* TypeImport.proto */
#ifndef __PYX_HAVE_RT_ImportType_proto
#define __PYX_HAVE_RT_ImportType_proto
enum __Pyx_ImportType_CheckSize {
   __Pyx_ImportType_CheckSize_Error = 0,
   __Pyx_ImportType_CheckSize_Warn = 1,
   __Pyx_ImportType_CheckSize_Ignore = 2
};
static PyTypeObject *__Pyx_ImportType(PyObject* module, const char *module_name, const char *class_name, size_t size, enum __Pyx_ImportType_CheckSize check_size);
#endif

/* GetVTable.proto */
static void* __Pyx_GetVtable(PyObject *dict);

/* Import.proto */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);

/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);

/* SetNameInClass.proto */
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
#define __Pyx_SetNameInClass(ns, name, value)\
    (likely(PyDict_CheckExact(ns)) ? _PyDict_SetItem_KnownHash(ns, name, value, ((PyASCIIObject *) name)->hash) : PyObject_SetItem(ns, name, value))
#elif CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_SetNameInClass(ns, name, value)\
    (likely(PyDict_CheckExact(ns)) ? PyDict_SetItem(ns, name, value) : PyObject_SetItem(ns, name, value))
#else
#define __Pyx_SetNameInClass(ns, name, value)  PyObject_SetItem(ns, name, value)
#endif

/* CalculateMetaclass.proto */
static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases);

/* Py3ClassCreate.proto */
static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name, PyObject *qualname,
                                           PyObject *mkw, PyObject *modname, PyObject *doc);
static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases, PyObject *dict,
                                      PyObject *mkw, int calculate_metaclass, int allow_py2_metaclass);

/* PyThreadStateGet.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyThreadState_declare  PyThreadState *__pyx_tstate;
#define __Pyx_PyThreadState_assign  __pyx_tstate = __Pyx_PyThreadState_Current;
#define __Pyx_PyErr_Occurred()  __pyx_tstate->curexc_type
#else
#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
#define __Pyx_PyErr_Occurred()  PyErr_Occurred()
#endif

/* PyErrFetchRestore.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb)  __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb)    __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrRestore(type, value, tb)  __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
#define __Pyx_ErrFetch(type, value, tb)    __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
#else
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#endif
#else
#define __Pyx_PyErr_Clear() PyErr_Clear()
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#define __Pyx_ErrRestoreWithState(type, value, tb)  PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb)  PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestoreInState(tstate, type, value, tb)  PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchInState(tstate, type, value, tb)  PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestore(type, value, tb)  PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetch(type, value, tb)  PyErr_Fetch(type, value, tb)
#endif

/* CLineInTraceback.proto */
#ifdef CYTHON_CLINE_IN_TRACEBACK
#define __Pyx_CLineForTraceback(tstate, c_line)  (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
#else
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
#endif

/* CodeObjectCache.proto */
typedef struct {
    PyCodeObject* code_object;
    int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
    int count;
    int max_count;
    __Pyx_CodeObjectCacheEntry* entries;
};
static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);

/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
                               int py_line, const char *filename);

/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);

/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);

/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value);

/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);

/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);

/* FastTypeChecks.proto */
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
#else
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
#endif
#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)

/* RaiseException.proto */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);

/* GetTopmostException.proto */
#if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem * __Pyx_PyErr_GetTopmostException(PyThreadState *tstate);
#endif

/* SaveResetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSave(type, value, tb)  __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#define __Pyx_ExceptionReset(type, value, tb)  __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
#else
#define __Pyx_ExceptionSave(type, value, tb)   PyErr_GetExcInfo(type, value, tb)
#define __Pyx_ExceptionReset(type, value, tb)  PyErr_SetExcInfo(type, value, tb)
#endif

/* SwapException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSwap(type, value, tb)  __Pyx__ExceptionSwap(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb);
#endif

/* CoroutineBase.proto */
typedef PyObject *(*__pyx_coroutine_body_t)(PyObject *, PyThreadState *, PyObject *);
#if CYTHON_USE_EXC_INFO_STACK
#define __Pyx_ExcInfoStruct  _PyErr_StackItem
#else
typedef struct {
    PyObject *exc_type;
    PyObject *exc_value;
    PyObject *exc_traceback;
} __Pyx_ExcInfoStruct;
#endif
typedef struct {
    PyObject_HEAD
    __pyx_coroutine_body_t body;
    PyObject *closure;
    __Pyx_ExcInfoStruct gi_exc_state;
    PyObject *gi_weakreflist;
    PyObject *classobj;
    PyObject *yieldfrom;
    PyObject *gi_name;
    PyObject *gi_qualname;
    PyObject *gi_modulename;
    PyObject *gi_code;
    int resume_label;
    char is_running;
} __pyx_CoroutineObject;
static __pyx_CoroutineObject *__Pyx__Coroutine_New(
    PyTypeObject *type, __pyx_coroutine_body_t body, PyObject *code, PyObject *closure,
    PyObject *name, PyObject *qualname, PyObject *module_name);
static __pyx_CoroutineObject *__Pyx__Coroutine_NewInit(
            __pyx_CoroutineObject *gen, __pyx_coroutine_body_t body, PyObject *code, PyObject *closure,
            PyObject *name, PyObject *qualname, PyObject *module_name);
static CYTHON_INLINE void __Pyx_Coroutine_ExceptionClear(__Pyx_ExcInfoStruct *self);
static int __Pyx_Coroutine_clear(PyObject *self);
static PyObject *__Pyx_Coroutine_Send(PyObject *self, PyObject *value);
static PyObject *__Pyx_Coroutine_Close(PyObject *self);
static PyObject *__Pyx_Coroutine_Throw(PyObject *gen, PyObject *args);
#if CYTHON_USE_EXC_INFO_STACK
#define __Pyx_Coroutine_SwapException(self)
#define __Pyx_Coroutine_ResetAndClearException(self)  __Pyx_Coroutine_ExceptionClear(&(self)->gi_exc_state)
#else
#define __Pyx_Coroutine_SwapException(self) {\
    __Pyx_ExceptionSwap(&(self)->gi_exc_state.exc_type, &(self)->gi_exc_state.exc_value, &(self)->gi_exc_state.exc_traceback);\
    __Pyx_Coroutine_ResetFrameBackpointer(&(self)->gi_exc_state);\
    }
#define __Pyx_Coroutine_ResetAndClearException(self) {\
    __Pyx_ExceptionReset((self)->gi_exc_state.exc_type, (self)->gi_exc_state.exc_value, (self)->gi_exc_state.exc_traceback);\
    (self)->gi_exc_state.exc_type = (self)->gi_exc_state.exc_value = (self)->gi_exc_state.exc_traceback = NULL;\
    }
#endif
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyGen_FetchStopIterationValue(pvalue)\
    __Pyx_PyGen__FetchStopIterationValue(__pyx_tstate, pvalue)
#else
#define __Pyx_PyGen_FetchStopIterationValue(pvalue)\
    __Pyx_PyGen__FetchStopIterationValue(__Pyx_PyThreadState_Current, pvalue)
#endif
static int __Pyx_PyGen__FetchStopIterationValue(PyThreadState *tstate, PyObject **pvalue);
static CYTHON_INLINE void __Pyx_Coroutine_ResetFrameBackpointer(__Pyx_ExcInfoStruct *exc_state);

/* PatchModuleWithCoroutine.proto */
static PyObject* __Pyx_Coroutine_patch_module(PyObject* module, const char* py_code);

/* PatchGeneratorABC.proto */
static int __Pyx_patch_abc(void);

/* Generator.proto */
#define __Pyx_Generator_USED
static PyTypeObject *__pyx_GeneratorType = 0;
#define __Pyx_Generator_CheckExact(obj) (Py_TYPE(obj) == __pyx_GeneratorType)
#define __Pyx_Generator_New(body, code, closure, name, qualname, module_name)\
    __Pyx__Coroutine_New(__pyx_GeneratorType, body, code, closure, name, qualname, module_name)
static PyObject *__Pyx_Generator_Next(PyObject *self);
static int __pyx_Generator_init(void);

/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);

/* FunctionImport.proto */
static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig);

/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);


/* Module declarations from 'libcpp' */

/* Module declarations from 'libc.string' */

/* Module declarations from 'libc.stdlib' */

/* Module declarations from 'gnocis.regions' */
static PyTypeObject *__pyx_ptype_6gnocis_7regions_region = 0;
static PyTypeObject *__pyx_ptype_6gnocis_7regions_regions = 0;

/* Module declarations from 'gnocis.sequences' */
static PyTypeObject *__pyx_ptype_6gnocis_9sequences_sequence = 0;
static PyTypeObject *__pyx_ptype_6gnocis_9sequences_sequences = 0;
static PyTypeObject *__pyx_ptype_6gnocis_9sequences_sequenceStream = 0;
static PyTypeObject *__pyx_ptype_6gnocis_9sequences_sequenceGenerator = 0;
static PyTypeObject *__pyx_ptype_6gnocis_9sequences_generatorMarkovChain = 0;
static PyTypeObject *__pyx_ptype_6gnocis_9sequences_generatorIID = 0;
static PyObject *(*__pyx_f_6gnocis_9sequences_getSequenceStreamFromPath)(PyObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_6gnocis_9sequences_getSequenceStreamFromPath *__pyx_optional_args); /*proto*/

/* Module declarations from 'gnocis.features' */
static PyTypeObject *__pyx_ptype_6gnocis_8features_feature = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_features = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_scaledFeature = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_featureScaler = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_featureMotifOccurrenceFrequency = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_kSpectrumFeature = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_kSpectrum = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_kSpectrumMMFeature = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_kSpectrumMM = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_kSpectrumMMDFeature = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_kSpectrumMMD = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_kSpectrumFeaturePDS = 0;
static PyTypeObject *__pyx_ptype_6gnocis_8features_kSpectrumPDS = 0;

/* Module declarations from 'gnocis.validation' */
static PyTypeObject *__pyx_ptype_6gnocis_10validation_point2D = 0;
static PyTypeObject *__pyx_ptype_6gnocis_10validation_validationPair = 0;

/* Module declarations from 'gnocis.models' */
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_1_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_3_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_5_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_6_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_7_setPoolModel = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_8_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_9_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_11_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_12_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_13_scoreSequence = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_14_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_16_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_18___init__ = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_19_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_20_genexpr = 0;
static PyTypeObject *__pyx_ptype_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor = 0;
#define __Pyx_MODULE_NAME "gnocis.models"
extern int __pyx_module_is_main_gnocis__models;
int __pyx_module_is_main_gnocis__models = 0;

/* Implementation of 'gnocis.models' */
static PyObject *__pyx_builtin_max;
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_sorted;
static PyObject *__pyx_builtin_sum;
static PyObject *__pyx_builtin_enumerate;
static PyObject *__pyx_builtin_zip;
static const char __pyx_k_[] = " ";
static const char __pyx_k_d[] = "d";
static const char __pyx_k_e[] = "e";
static const char __pyx_k_f[] = "f";
static const char __pyx_k_i[] = "i";
static const char __pyx_k_k[] = "k";
static const char __pyx_k_n[] = "n";
static const char __pyx_k_r[] = "r";
static const char __pyx_k_v[] = "v";
static const char __pyx_k_w[] = "w";
static const char __pyx_k_x[] = "x";
static const char __pyx_k_y[] = "y";
static const char __pyx_k_FN[] = "FN";
static const char __pyx_k_FP[] = "FP";
static const char __pyx_k_TN[] = "TN";
static const char __pyx_k_TP[] = "TP";
static const char __pyx_k__2[] = "";
static const char __pyx_k__5[] = ">";
static const char __pyx_k_fv[] = "fv";
static const char __pyx_k_mp[] = "mp";
static const char __pyx_k_vp[] = "vp";
static const char __pyx_k_ACC[] = "ACC";
static const char __pyx_k_AUC[] = "AUC";
static const char __pyx_k_INF[] = "-INF";
static const char __pyx_k__16[] = "_";
static const char __pyx_k_arg[] = "arg";
static const char __pyx_k_blk[] = "blk";
static const char __pyx_k_doc[] = "__doc__";
static const char __pyx_k_end[] = "end";
static const char __pyx_k_get[] = "get";
static const char __pyx_k_key[] = "key";
static const char __pyx_k_log[] = "log";
static const char __pyx_k_map[] = "map";
static const char __pyx_k_max[] = "max";
static const char __pyx_k_mdl[] = "mdl";
static const char __pyx_k_nNT[] = "nNT";
static const char __pyx_k_neg[] = "neg";
static const char __pyx_k_pos[] = "pos";
static const char __pyx_k_ret[] = "ret";
static const char __pyx_k_seq[] = "seq";
static const char __pyx_k_str[] = "__str__";
static const char __pyx_k_sum[] = "sum";
static const char __pyx_k_win[] = "win";
static const char __pyx_k_zip[] = "zip";
static const char __pyx_k_Pool[] = "Pool";
static const char __pyx_k_args[] = "args";
static const char __pyx_k_cACC[] = "cACC";
static const char __pyx_k_cneg[] = "cneg";
static const char __pyx_k_cpos[] = "cpos";
static const char __pyx_k_cseq[] = "cseq";
static const char __pyx_k_dict[] = "__dict__";
static const char __pyx_k_init[] = "__init__";
static const char __pyx_k_keys[] = "keys";
static const char __pyx_k_mIDs[] = "mIDs";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_math[] = "math";
static const char __pyx_k_name[] = "__name__";
static const char __pyx_k_nneg[] = "nneg";
static const char __pyx_k_npos[] = "npos";
static const char __pyx_k_pIDs[] = "pIDs";
static const char __pyx_k_pool[] = "_pool";
static const char __pyx_k_pred[] = "pred";
static const char __pyx_k_repr[] = "__repr__";
static const char __pyx_k_self[] = "self";
static const char __pyx_k_send[] = "send";
static const char __pyx_k_seqs[] = "seqs";
static const char __pyx_k_sort[] = "sort";
static const char __pyx_k_stat[] = "stat";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_tneg[] = "tneg";
static const char __pyx_k_tpos[] = "tpos";
static const char __pyx_k_vNeg[] = "vNeg";
static const char __pyx_k_vPos[] = "vPos";
static const char __pyx_k_vneg[] = "vneg";
static const char __pyx_k_vpos[] = "vpos";
static const char __pyx_k_class[] = "class";
static const char __pyx_k_close[] = "close";
static const char __pyx_k_cvmdl[] = "cvmdl";
static const char __pyx_k_fetch[] = "fetch";
static const char __pyx_k_label[] = "label";
static const char __pyx_k_model[] = "model";
static const char __pyx_k_newID[] = "newID";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_score[] = "score";
static const char __pyx_k_split[] = "split";
static const char __pyx_k_state[] = "state";
static const char __pyx_k_stats[] = "stats";
static const char __pyx_k_throw[] = "throw";
static const char __pyx_k_title[] = "title";
static const char __pyx_k_append[] = "append";
static const char __pyx_k_degree[] = "degree";
static const char __pyx_k_factor[] = "factor";
static const char __pyx_k_genome[] = "genome";
static const char __pyx_k_getAUC[] = "getAUC";
static const char __pyx_k_getAll[] = "getAll";
static const char __pyx_k_getPRC[] = "getPRC";
static const char __pyx_k_getROC[] = "getROC";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_length[] = "length";
static const char __pyx_k_module[] = "__module__";
static const char __pyx_k_motifs[] = "motifs";
static const char __pyx_k_nfolds[] = "nfolds";
static const char __pyx_k_pool_2[] = "pool";
static const char __pyx_k_random[] = "random";
static const char __pyx_k_sorted[] = "sorted";
static const char __pyx_k_stream[] = "stream";
static const char __pyx_k_vPairs[] = "vPairs";
static const char __pyx_k_wScore[] = "wScore";
static const char __pyx_k_weight[] = "weight";
static const char __pyx_k_winPos[] = "winPos";
static const char __pyx_k_winSeq[] = "winSeq";
static const char __pyx_k_CMStats[] = "CMStats";
static const char __pyx_k_PRC_AUC[] = "PRC AUC";
static const char __pyx_k_ROC_AUC[] = "ROC AUC";
static const char __pyx_k_bgModel[] = "bgModel";
static const char __pyx_k_cScores[] = "cScores";
static const char __pyx_k_default[] = "default";
static const char __pyx_k_genexpr[] = "genexpr";
static const char __pyx_k_meanLen[] = "meanLen";
static const char __pyx_k_modelID[] = "modelID";
static const char __pyx_k_predict[] = "predict";
static const char __pyx_k_prepare[] = "__prepare__";
static const char __pyx_k_procIDs[] = "procIDs";
static const char __pyx_k_seqLens[] = "seqLens";
static const char __pyx_k_shuffle[] = "shuffle";
static const char __pyx_k_weights[] = "weights";
static const char __pyx_k_PRCcurve[] = "PRCcurve";
static const char __pyx_k_ROCcurve[] = "ROCcurve";
static const char __pyx_k_features[] = "features";
static const char __pyx_k_getstate[] = "__getstate__";
static const char __pyx_k_initargs[] = "initargs";
static const char __pyx_k_qualname[] = "__qualname__";
static const char __pyx_k_setstate[] = "__setstate__";
static const char __pyx_k_Negatives[] = "; Negatives: ";
static const char __pyx_k_Positives[] = "; Positives: ";
static const char __pyx_k_blkScores[] = "blkScores";
static const char __pyx_k_enumerate[] = "enumerate";
static const char __pyx_k_foldStats[] = "foldStats";
static const char __pyx_k_genomeLen[] = "genomeLen";
static const char __pyx_k_getPRCAUC[] = "getPRCAUC";
static const char __pyx_k_getROCAUC[] = "getROCAUC";
static const char __pyx_k_metaclass[] = "__metaclass__";
static const char __pyx_k_nCoresUse[] = "nCoresUse";
static const char __pyx_k_negatives[] = "negatives";
static const char __pyx_k_positives[] = "positives";
static const char __pyx_k_precision[] = "precision";
static const char __pyx_k_processID[] = "processID";
static const char __pyx_k_sequences[] = "sequences";
static const char __pyx_k_setNCores[] = "setNCores";
static const char __pyx_k_threshold[] = "threshold";
static const char __pyx_k_winPosSet[] = "winPosSet";
static const char __pyx_k_winSeqSet[] = "winSeqSet";
static const char __pyx_k_Validation[] = "Validation";
static const char __pyx_k_aPrecision[] = "aPrecision";
static const char __pyx_k_aThreshold[] = "aThreshold";
static const char __pyx_k_bPrecision[] = "bPrecision";
static const char __pyx_k_bThreshold[] = "bThreshold";
static const char __pyx_k_getWindows[] = "getWindows";
static const char __pyx_k_maxModelID[] = "maxModelID";
static const char __pyx_k_pyx_vtable[] = "__pyx_vtable__";
static const char __pyx_k_validation[] = "validation";
static const char __pyx_k_wPrecision[] = "wPrecision";
static const char __pyx_k_wThreshold[] = "wThreshold";
static const char __pyx_k_windowSize[] = "windowSize";
static const char __pyx_k_windowStep[] = "windowStep";
static const char __pyx_k_Predictions[] = "Predictions";
static const char __pyx_k_initializer[] = "initializer";
static const char __pyx_k_nTreadFetch[] = "nTreadFetch";
static const char __pyx_k_scoreWindow[] = "scoreWindow";
static const char __pyx_k_winScoreSet[] = "winScoreSet";
static const char __pyx_k_bgModelOrder[] = "bgModelOrder";
static const char __pyx_k_defaultValue[] = "defaultValue";
static const char __pyx_k_setPoolModel[] = "setPoolModel";
static const char __pyx_k_gnocis_models[] = "gnocis.models";
static const char __pyx_k_scoreSequence[] = "scoreSequence";
static const char __pyx_k_sequenceModel[] = "sequenceModel";
static const char __pyx_k_sortedweights[] = "sortedweights";
static const char __pyx_k_generateStream[] = "generateStream";
static const char __pyx_k_negativeScores[] = "negativeScores";
static const char __pyx_k_positiveScores[] = "positiveScores";
static const char __pyx_k_getPoolModelIDs[] = "getPoolModelIDs";
static const char __pyx_k_multiprocessing[] = "multiprocessing";
static const char __pyx_k_wantedPrecision[] = "wantedPrecision";
static const char __pyx_k_getMotifSpectrum[] = "getMotifSpectrum";
static const char __pyx_k_getPoolProcessID[] = "getPoolProcessID";
static const char __pyx_k_maxThreadFetchNT[] = "maxThreadFetchNT";
static const char __pyx_k_setPoolProcessID[] = "setPoolProcessID";
static const char __pyx_k_classScoresSorted[] = "classScoresSorted";
static const char __pyx_k_getPoolProcessIDs[] = "getPoolProcessIDs";
static const char __pyx_k_getSequenceScores[] = "getSequenceScores";
static const char __pyx_k_gnocis_models_pyx[] = "gnocis/models.pyx";
static const char __pyx_k_trainingNegatives[] = "trainingNegatives";
static const char __pyx_k_trainingPositives[] = "trainingPositives";
static const char __pyx_k_trainingSequences[] = "trainingSequences";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_getConfusionMatrix[] = "getConfusionMatrix";
static const char __pyx_k_getSequenceLengths[] = "getSequenceLengths";
static const char __pyx_k_sequenceModelDummy[] = "sequenceModelDummy";
static const char __pyx_k_multiprocessingPool[] = "multiprocessingPool";
static const char __pyx_k_printTestStatistics[] = "printTestStatistics";
static const char __pyx_k_setPoolProcessModel[] = "setPoolProcessModel";
static const char __pyx_k_trainPREdictorModel[] = "trainPREdictorModel";
static const char __pyx_k_sequenceModelLogOdds[] = "sequenceModelLogOdds";
static const char __pyx_k_sequenceModel_getPRC[] = "sequenceModel.getPRC";
static const char __pyx_k_sequenceModel_getROC[] = "sequenceModel.getROC";
static const char __pyx_k_getPoolProcessModelID[] = "getPoolProcessModelID";
static const char __pyx_k_getPrecisionThreshold[] = "getPrecisionThreshold";
static const char __pyx_k_initializePoolProcess[] = "initializePoolProcess";
static const char __pyx_k_sequenceModel_predict[] = "sequenceModel.predict";
static const char __pyx_k_streamSequenceWindows[] = "streamSequenceWindows";
static const char __pyx_k_Dummy_model_Features_s[] = "Dummy model<Features: %s>";
static const char __pyx_k_getPoolProcessHasModel[] = "getPoolProcessHasModel";
static const char __pyx_k_Log_odds_model_Features[] = "Log-odds model<Features: ";
static const char __pyx_k_getValidationStatistics[] = "getValidationStatistics";
static const char __pyx_k_sequenceModel_getPRCAUC[] = "sequenceModel.getPRCAUC";
static const char __pyx_k_sequenceModel_getROCAUC[] = "sequenceModel.getROCAUC";
static const char __pyx_k_initializePoolProcessIDs[] = "initializePoolProcessIDs";
static const char __pyx_k_sequenceModelDummy___str[] = "sequenceModelDummy.__str__";
static const char __pyx_k_sequenceModel___getstate[] = "sequenceModel.__getstate__";
static const char __pyx_k_sequenceModel___setstate[] = "sequenceModel.__setstate__";
static const char __pyx_k_createDummyPREdictorModel[] = "createDummyPREdictorModel";
static const char __pyx_k_multiprocessModelDeployer[] = "multiprocessModelDeployer";
static const char __pyx_k_printValidationStatistics[] = "printValidationStatistics";
static const char __pyx_k_sequenceModelDummy___init[] = "sequenceModelDummy.__init__";
static const char __pyx_k_sequenceModelDummy___repr[] = "sequenceModelDummy.__repr__";
static const char __pyx_k_trainSinglePREdictorModel[] = "trainSinglePREdictorModel";
static const char __pyx_k_sequenceModelLogOdds___str[] = "sequenceModelLogOdds.__str__";
static const char __pyx_k_getOptimalAccuracyThreshold[] = "getOptimalAccuracyThreshold";
static const char __pyx_k_sequenceModelLogOdds___init[] = "sequenceModelLogOdds.__init__";
static const char __pyx_k_sequenceModelLogOdds___repr[] = "sequenceModelLogOdds.__repr__";
static const char __pyx_k_sequenceModel_scoreSequence[] = "sequenceModel.scoreSequence";
static const char __pyx_k_setPoolModel_locals_genexpr[] = "setPoolModel.<locals>.genexpr";
static const char __pyx_k_calibrateGenomewidePrecision[] = "calibrateGenomewidePrecision";
static const char __pyx_k_getConfusionMatrixStatistics[] = "getConfusionMatrixStatistics";
static const char __pyx_k_predictSequenceStreamRegions[] = "predictSequenceStreamRegions";
static const char __pyx_k_getCrossValidationConstructor[] = "getCrossValidationConstructor";
static const char __pyx_k_getPREdictorMotifPairSpectrum[] = "getPREdictorMotifPairSpectrum";
static const char __pyx_k_Cross_validation_leave_one_out[] = "Cross-validation (leave one out)";
static const char __pyx_k_This_model_takes_a_feature_set[] = "\n\tThis model takes a feature set, and scores input sequences by summing feature values, without weighting.\n\t\n\t:param features: The feature set.\n\t:param windowSize: Window size to use.\n\t:param windowStep: Window step size to use.\n\t\n\t:type features: features\n\t:type windowSize: int\n\t:type windowStep: int\n\t";
static const char __pyx_k_getPoolModelIDs_locals_genexpr[] = "getPoolModelIDs.<locals>.genexpr";
static const char __pyx_k_sequenceModelDummy_scoreWindow[] = "sequenceModelDummy.scoreWindow";
static const char __pyx_k_Constructs_a_log_odds_model_bas[] = "\n\tConstructs a log-odds model based on an input feature set and binary training set, and scores input sequences by summing log-odds-weighted feature values.\n\t\n\t:param features: The feature set.\n\t:param trainingPositives: Positive training sequences.\n\t:param trainingNegatives: Negative training sequences.\n\t:param windowSize: Window size to use.\n\t:param windowStep: Window step size to use.\n\t\n\t:type features: features\n\t:type trainingPositives: sequences\n\t:type trainingNegatives: sequences\n\t:type windowSize: int\n\t:type windowStep: int\n\t";
static const char __pyx_k_The_sequenceModel_class_is_an_a[] = "\n\tThe `sequenceModel` class is an abstract class for sequence models. A number of methods are implemented for machine learning and prediction with DNA sequences.\n\t";
static const char __pyx_k_getCrossValidationStatisticsLOO[] = "getCrossValidationStatisticsLOO";
static const char __pyx_k_sequenceModel_getSequenceScores[] = "sequenceModel.getSequenceScores";
static const char __pyx_k_Cross_validation_random_halves_d[] = "Cross-validation (random halves, %d folds)";
static const char __pyx_k_getCrossValidationStatisticsRand[] = "getCrossValidationStatisticsRandomHalves";
static const char __pyx_k_getPoolProcessIDs_locals_genexpr[] = "getPoolProcessIDs.<locals>.genexpr";
static const char __pyx_k_multiprocessModelDeployer_locals[] = "multiprocessModelDeployer.<locals>.genexpr";
static const char __pyx_k_sequenceModelDummy_getCrossValid[] = "sequenceModelDummy.getCrossValidationConstructor.<locals>.<lambda>";
static const char __pyx_k_sequenceModelLogOdds___init___lo[] = "sequenceModelLogOdds.__init__.<locals>.genexpr";
static const char __pyx_k_sequenceModelLogOdds_getCrossVal[] = "sequenceModelLogOdds.getCrossValidationConstructor.<locals>.<lambda>";
static const char __pyx_k_sequenceModelLogOdds_scoreWindow[] = "sequenceModelLogOdds.scoreWindow";
static const char __pyx_k_sequenceModel_calibrateGenomewid[] = "sequenceModel.calibrateGenomewidePrecision.<locals>.genexpr";
static const char __pyx_k_sequenceModel_getConfusionMatrix[] = "sequenceModel.getConfusionMatrix";
static const char __pyx_k_sequenceModel_getCrossValidation[] = "sequenceModel.getCrossValidationStatisticsRandomHalves.<locals>.genexpr";
static const char __pyx_k_sequenceModel_getOptimalAccuracy[] = "sequenceModel.getOptimalAccuracyThreshold.<locals>.<lambda>";
static const char __pyx_k_sequenceModel_getPrecisionThresh[] = "sequenceModel.getPrecisionThreshold.<locals>.<lambda>";
static const char __pyx_k_sequenceModel_getValidationStati[] = "sequenceModel.getValidationStatistics";
static const char __pyx_k_sequenceModel_predictSequenceStr[] = "sequenceModel.predictSequenceStreamRegions";
static const char __pyx_k_sequenceModel_printTestStatistic[] = "sequenceModel.printTestStatistics";
static const char __pyx_k_sequenceModel_scoreSequence_loca[] = "sequenceModel.scoreSequence.<locals>.genexpr";
static const char __pyx_k_sequenceModelDummy_getCrossValid_2[] = "sequenceModelDummy.getCrossValidationConstructor";
static const char __pyx_k_sequenceModelLogOdds_getCrossVal_2[] = "sequenceModelLogOdds.getCrossValidationConstructor";
static const char __pyx_k_sequenceModel_calibrateGenomewid_2[] = "sequenceModel.calibrateGenomewidePrecision";
static const char __pyx_k_sequenceModel_getCrossValidation_2[] = "sequenceModel.getCrossValidationStatisticsLOO.<locals>.<lambda>";
static const char __pyx_k_sequenceModel_getCrossValidation_3[] = "sequenceModel.getCrossValidationStatisticsRandomHalves";
static const char __pyx_k_sequenceModel_getCrossValidation_4[] = "sequenceModel.getCrossValidationStatisticsLOO";
static const char __pyx_k_sequenceModel_getOptimalAccuracy_2[] = "sequenceModel.getOptimalAccuracyThreshold";
static const char __pyx_k_sequenceModel_getPrecisionThresh_2[] = "sequenceModel.getPrecisionThreshold";
static PyObject *__pyx_kp_u_;
static PyObject *__pyx_n_s_ACC;
static PyObject *__pyx_n_s_AUC;
static PyObject *__pyx_n_s_CMStats;
static PyObject *__pyx_kp_s_Constructs_a_log_odds_model_bas;
static PyObject *__pyx_kp_u_Cross_validation_leave_one_out;
static PyObject *__pyx_kp_u_Cross_validation_random_halves_d;
static PyObject *__pyx_kp_u_Dummy_model_Features_s;
static PyObject *__pyx_n_s_FN;
static PyObject *__pyx_n_u_FN;
static PyObject *__pyx_n_s_FP;
static PyObject *__pyx_n_u_FP;
static PyObject *__pyx_kp_u_INF;
static PyObject *__pyx_kp_u_Log_odds_model_Features;
static PyObject *__pyx_kp_u_Negatives;
static PyObject *__pyx_kp_u_PRC_AUC;
static PyObject *__pyx_n_s_PRCcurve;
static PyObject *__pyx_n_s_Pool;
static PyObject *__pyx_kp_u_Positives;
static PyObject *__pyx_n_u_Predictions;
static PyObject *__pyx_kp_u_ROC_AUC;
static PyObject *__pyx_n_s_ROCcurve;
static PyObject *__pyx_n_s_TN;
static PyObject *__pyx_n_u_TN;
static PyObject *__pyx_n_s_TP;
static PyObject *__pyx_n_u_TP;
static PyObject *__pyx_kp_s_The_sequenceModel_class_is_an_a;
static PyObject *__pyx_kp_s_This_model_takes_a_feature_set;
static PyObject *__pyx_n_u_Validation;
static PyObject *__pyx_n_s__16;
static PyObject *__pyx_kp_u__2;
static PyObject *__pyx_kp_u__5;
static PyObject *__pyx_n_s_aPrecision;
static PyObject *__pyx_n_s_aThreshold;
static PyObject *__pyx_n_s_append;
static PyObject *__pyx_n_s_arg;
static PyObject *__pyx_n_s_args;
static PyObject *__pyx_n_s_bPrecision;
static PyObject *__pyx_n_s_bThreshold;
static PyObject *__pyx_n_s_bgModel;
static PyObject *__pyx_n_s_bgModelOrder;
static PyObject *__pyx_n_s_blk;
static PyObject *__pyx_n_s_blkScores;
static PyObject *__pyx_n_s_cACC;
static PyObject *__pyx_n_s_cScores;
static PyObject *__pyx_n_s_calibrateGenomewidePrecision;
static PyObject *__pyx_n_u_class;
static PyObject *__pyx_n_s_classScoresSorted;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_s_close;
static PyObject *__pyx_n_s_cneg;
static PyObject *__pyx_n_s_cpos;
static PyObject *__pyx_n_s_createDummyPREdictorModel;
static PyObject *__pyx_n_s_cseq;
static PyObject *__pyx_n_s_cvmdl;
static PyObject *__pyx_n_u_d;
static PyObject *__pyx_n_s_default;
static PyObject *__pyx_n_s_defaultValue;
static PyObject *__pyx_n_s_degree;
static PyObject *__pyx_n_s_dict;
static PyObject *__pyx_n_s_doc;
static PyObject *__pyx_n_s_e;
static PyObject *__pyx_n_s_end;
static PyObject *__pyx_n_s_enumerate;
static PyObject *__pyx_n_s_f;
static PyObject *__pyx_n_s_factor;
static PyObject *__pyx_n_s_features;
static PyObject *__pyx_n_s_fetch;
static PyObject *__pyx_n_s_foldStats;
static PyObject *__pyx_n_s_fv;
static PyObject *__pyx_n_s_generateStream;
static PyObject *__pyx_n_s_genexpr;
static PyObject *__pyx_n_s_genome;
static PyObject *__pyx_n_s_genomeLen;
static PyObject *__pyx_n_s_get;
static PyObject *__pyx_n_s_getAUC;
static PyObject *__pyx_n_s_getAll;
static PyObject *__pyx_n_s_getConfusionMatrix;
static PyObject *__pyx_n_s_getConfusionMatrixStatistics;
static PyObject *__pyx_n_s_getCrossValidationConstructor;
static PyObject *__pyx_n_s_getCrossValidationStatisticsLOO;
static PyObject *__pyx_n_s_getCrossValidationStatisticsRand;
static PyObject *__pyx_n_s_getMotifSpectrum;
static PyObject *__pyx_n_s_getOptimalAccuracyThreshold;
static PyObject *__pyx_n_s_getPRC;
static PyObject *__pyx_n_s_getPRCAUC;
static PyObject *__pyx_n_s_getPREdictorMotifPairSpectrum;
static PyObject *__pyx_n_s_getPoolModelIDs;
static PyObject *__pyx_n_s_getPoolModelIDs_locals_genexpr;
static PyObject *__pyx_n_s_getPoolProcessHasModel;
static PyObject *__pyx_n_s_getPoolProcessID;
static PyObject *__pyx_n_s_getPoolProcessIDs;
static PyObject *__pyx_n_s_getPoolProcessIDs_locals_genexpr;
static PyObject *__pyx_n_s_getPoolProcessModelID;
static PyObject *__pyx_n_s_getPrecisionThreshold;
static PyObject *__pyx_n_s_getROC;
static PyObject *__pyx_n_s_getROCAUC;
static PyObject *__pyx_n_s_getSequenceLengths;
static PyObject *__pyx_n_s_getSequenceScores;
static PyObject *__pyx_n_s_getValidationStatistics;
static PyObject *__pyx_n_s_getWindows;
static PyObject *__pyx_n_s_getstate;
static PyObject *__pyx_n_s_gnocis_models;
static PyObject *__pyx_kp_s_gnocis_models_pyx;
static PyObject *__pyx_n_s_i;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_init;
static PyObject *__pyx_n_s_initargs;
static PyObject *__pyx_n_s_initializePoolProcess;
static PyObject *__pyx_n_s_initializePoolProcessIDs;
static PyObject *__pyx_n_s_initializer;
static PyObject *__pyx_n_s_k;
static PyObject *__pyx_n_s_key;
static PyObject *__pyx_n_s_keys;
static PyObject *__pyx_n_s_label;
static PyObject *__pyx_n_s_length;
static PyObject *__pyx_n_s_log;
static PyObject *__pyx_n_s_mIDs;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_map;
static PyObject *__pyx_n_s_math;
static PyObject *__pyx_n_s_max;
static PyObject *__pyx_n_s_maxModelID;
static PyObject *__pyx_n_s_maxThreadFetchNT;
static PyObject *__pyx_n_s_mdl;
static PyObject *__pyx_n_s_meanLen;
static PyObject *__pyx_n_s_metaclass;
static PyObject *__pyx_n_s_model;
static PyObject *__pyx_n_u_model;
static PyObject *__pyx_n_s_modelID;
static PyObject *__pyx_n_u_modelID;
static PyObject *__pyx_n_s_module;
static PyObject *__pyx_n_s_motifs;
static PyObject *__pyx_n_s_mp;
static PyObject *__pyx_n_s_multiprocessModelDeployer;
static PyObject *__pyx_n_s_multiprocessModelDeployer_locals;
static PyObject *__pyx_n_s_multiprocessing;
static PyObject *__pyx_n_s_multiprocessingPool;
static PyObject *__pyx_n_s_n;
static PyObject *__pyx_n_s_nCoresUse;
static PyObject *__pyx_n_s_nNT;
static PyObject *__pyx_n_s_nTreadFetch;
static PyObject *__pyx_n_s_name;
static PyObject *__pyx_n_s_neg;
static PyObject *__pyx_n_s_negativeScores;
static PyObject *__pyx_n_s_negatives;
static PyObject *__pyx_n_u_negatives;
static PyObject *__pyx_n_s_newID;
static PyObject *__pyx_n_s_nfolds;
static PyObject *__pyx_n_s_nneg;
static PyObject *__pyx_n_s_npos;
static PyObject *__pyx_n_s_pIDs;
static PyObject *__pyx_n_s_pool;
static PyObject *__pyx_n_s_pool_2;
static PyObject *__pyx_n_s_pos;
static PyObject *__pyx_n_s_positiveScores;
static PyObject *__pyx_n_s_positives;
static PyObject *__pyx_n_u_positives;
static PyObject *__pyx_n_s_precision;
static PyObject *__pyx_n_s_pred;
static PyObject *__pyx_n_s_predict;
static PyObject *__pyx_n_s_predictSequenceStreamRegions;
static PyObject *__pyx_n_s_prepare;
static PyObject *__pyx_n_s_printTestStatistics;
static PyObject *__pyx_n_s_printValidationStatistics;
static PyObject *__pyx_n_s_procIDs;
static PyObject *__pyx_n_s_processID;
static PyObject *__pyx_n_s_pyx_vtable;
static PyObject *__pyx_n_s_qualname;
static PyObject *__pyx_n_s_r;
static PyObject *__pyx_n_s_random;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_repr;
static PyObject *__pyx_n_s_ret;
static PyObject *__pyx_n_s_score;
static PyObject *__pyx_n_u_score;
static PyObject *__pyx_n_s_scoreSequence;
static PyObject *__pyx_n_s_scoreWindow;
static PyObject *__pyx_n_s_self;
static PyObject *__pyx_n_s_send;
static PyObject *__pyx_n_s_seq;
static PyObject *__pyx_n_s_seqLens;
static PyObject *__pyx_n_s_seqs;
static PyObject *__pyx_n_s_sequenceModel;
static PyObject *__pyx_n_s_latin1_sequenceModel;
static PyObject *__pyx_n_s_sequenceModelDummy;
static PyObject *__pyx_n_s_latin1_sequenceModelDummy;
static PyObject *__pyx_n_s_sequenceModelDummy___init;
static PyObject *__pyx_n_s_sequenceModelDummy___repr;
static PyObject *__pyx_n_s_sequenceModelDummy___str;
static PyObject *__pyx_n_s_sequenceModelDummy_getCrossValid;
static PyObject *__pyx_n_s_sequenceModelDummy_getCrossValid_2;
static PyObject *__pyx_n_s_sequenceModelDummy_scoreWindow;
static PyObject *__pyx_n_s_sequenceModelLogOdds;
static PyObject *__pyx_n_s_latin1_sequenceModelLogOdds;
static PyObject *__pyx_n_s_sequenceModelLogOdds___init;
static PyObject *__pyx_n_s_sequenceModelLogOdds___init___lo;
static PyObject *__pyx_n_s_sequenceModelLogOdds___repr;
static PyObject *__pyx_n_s_sequenceModelLogOdds___str;
static PyObject *__pyx_n_s_sequenceModelLogOdds_getCrossVal;
static PyObject *__pyx_n_s_sequenceModelLogOdds_getCrossVal_2;
static PyObject *__pyx_n_s_sequenceModelLogOdds_scoreWindow;
static PyObject *__pyx_n_s_sequenceModel___getstate;
static PyObject *__pyx_n_s_sequenceModel___setstate;
static PyObject *__pyx_n_s_sequenceModel_calibrateGenomewid;
static PyObject *__pyx_n_s_sequenceModel_calibrateGenomewid_2;
static PyObject *__pyx_n_s_sequenceModel_getConfusionMatrix;
static PyObject *__pyx_n_s_sequenceModel_getCrossValidation;
static PyObject *__pyx_n_s_sequenceModel_getCrossValidation_2;
static PyObject *__pyx_n_s_sequenceModel_getCrossValidation_3;
static PyObject *__pyx_n_s_sequenceModel_getCrossValidation_4;
static PyObject *__pyx_n_s_sequenceModel_getOptimalAccuracy;
static PyObject *__pyx_n_s_sequenceModel_getOptimalAccuracy_2;
static PyObject *__pyx_n_s_sequenceModel_getPRC;
static PyObject *__pyx_n_s_sequenceModel_getPRCAUC;
static PyObject *__pyx_n_s_sequenceModel_getPrecisionThresh;
static PyObject *__pyx_n_s_sequenceModel_getPrecisionThresh_2;
static PyObject *__pyx_n_s_sequenceModel_getROC;
static PyObject *__pyx_n_s_sequenceModel_getROCAUC;
static PyObject *__pyx_n_s_sequenceModel_getSequenceScores;
static PyObject *__pyx_n_s_sequenceModel_getValidationStati;
static PyObject *__pyx_n_s_sequenceModel_predict;
static PyObject *__pyx_n_s_sequenceModel_predictSequenceStr;
static PyObject *__pyx_n_s_sequenceModel_printTestStatistic;
static PyObject *__pyx_n_s_sequenceModel_scoreSequence;
static PyObject *__pyx_n_s_sequenceModel_scoreSequence_loca;
static PyObject *__pyx_n_s_sequences;
static PyObject *__pyx_n_s_setNCores;
static PyObject *__pyx_n_s_setPoolModel;
static PyObject *__pyx_n_s_setPoolModel_locals_genexpr;
static PyObject *__pyx_n_s_setPoolProcessID;
static PyObject *__pyx_n_s_setPoolProcessModel;
static PyObject *__pyx_n_s_setstate;
static PyObject *__pyx_n_s_shuffle;
static PyObject *__pyx_n_s_sort;
static PyObject *__pyx_n_s_sorted;
static PyObject *__pyx_n_s_sortedweights;
static PyObject *__pyx_n_s_split;
static PyObject *__pyx_n_s_stat;
static PyObject *__pyx_n_s_state;
static PyObject *__pyx_n_s_stats;
static PyObject *__pyx_n_s_str;
static PyObject *__pyx_n_s_stream;
static PyObject *__pyx_n_s_streamSequenceWindows;
static PyObject *__pyx_n_s_sum;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_threshold;
static PyObject *__pyx_n_s_throw;
static PyObject *__pyx_n_u_title;
static PyObject *__pyx_n_s_tneg;
static PyObject *__pyx_n_s_tpos;
static PyObject *__pyx_n_s_trainPREdictorModel;
static PyObject *__pyx_n_s_trainSinglePREdictorModel;
static PyObject *__pyx_n_s_trainingNegatives;
static PyObject *__pyx_n_s_trainingPositives;
static PyObject *__pyx_n_s_trainingSequences;
static PyObject *__pyx_n_s_v;
static PyObject *__pyx_n_s_vNeg;
static PyObject *__pyx_n_s_vPairs;
static PyObject *__pyx_n_s_vPos;
static PyObject *__pyx_n_s_validation;
static PyObject *__pyx_n_s_vneg;
static PyObject *__pyx_n_s_vp;
static PyObject *__pyx_n_s_vpos;
static PyObject *__pyx_n_s_w;
static PyObject *__pyx_n_s_wPrecision;
static PyObject *__pyx_n_s_wScore;
static PyObject *__pyx_n_s_wThreshold;
static PyObject *__pyx_n_s_wantedPrecision;
static PyObject *__pyx_n_s_weight;
static PyObject *__pyx_n_s_weights;
static PyObject *__pyx_n_s_win;
static PyObject *__pyx_n_s_winPos;
static PyObject *__pyx_n_s_winPosSet;
static PyObject *__pyx_n_s_winScoreSet;
static PyObject *__pyx_n_s_winSeq;
static PyObject *__pyx_n_s_winSeqSet;
static PyObject *__pyx_n_s_windowSize;
static PyObject *__pyx_n_s_windowStep;
static PyObject *__pyx_n_u_x;
static PyObject *__pyx_n_u_y;
static PyObject *__pyx_n_s_zip;
static PyObject *__pyx_pf_6gnocis_6models_25multiprocessModelDeployer_7genexpr_genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_multiprocessModelDeployer(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_args); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_2initializePoolProcess(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_arg); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_4setPoolProcessID(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_newID); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_6getPoolProcessID(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_arg); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_8getPoolProcessModelID(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_arg); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_10initializePoolProcessIDs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_pool); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_17getPoolProcessIDs_genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_12getPoolProcessIDs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_pool); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_15getPoolModelIDs_genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_15getPoolModelIDs_3genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_14getPoolModelIDs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_pool); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_16setPoolProcessModel(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_mdl); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_18getPoolProcessHasModel(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_arg); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_12setPoolModel_genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_12setPoolModel_3genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_20setPoolModel(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_pool, PyObject *__pyx_v_mdl); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_22setNCores(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_n); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel___getstate__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_2__setstate__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_state); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_4getSequenceScores(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_seqs); /* proto */
static PyObject *__pyx_lambda_funcdef_lambda6(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_6getOptimalAccuracyThreshold(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives); /* proto */
static PyObject *__pyx_lambda_funcdef_lambda7(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_8getPrecisionThreshold(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives, PyObject *__pyx_v_wantedPrecision); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_3genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_10calibrateGenomewidePrecision(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_genome, PyObject *__pyx_v_factor, PyObject *__pyx_v_precision, PyObject *__pyx_v_bgModelOrder, PyObject *__pyx_v_bgModel); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_13scoreSequence_genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_12scoreSequence(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_seq); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_14getConfusionMatrix(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_16getROC(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_18getROCAUC(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_20getPRC(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_22getPRCAUC(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_24getValidationStatistics(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_40getCrossValidationStatisticsRandomHalves_genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_26getCrossValidationStatisticsRandomHalves(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives, PyObject *__pyx_v_nfolds); /* proto */
static PyObject *__pyx_lambda_funcdef_lambda12(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_28getCrossValidationStatisticsLOO(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_30predictSequenceStreamRegions(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_stream); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_32predict(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_stream); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_34printTestStatistics(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_18sequenceModelDummy___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_features, PyObject *__pyx_v_windowSize, PyObject *__pyx_v_windowStep); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_18sequenceModelDummy_2__str__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_18sequenceModelDummy_4__repr__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_lambda_funcdef_lambda13(PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_pos, CYTHON_UNUSED PyObject *__pyx_v_neg); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_18sequenceModelDummy_6getCrossValidationConstructor(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_18sequenceModelDummy_8scoreWindow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_seq); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_8__init___genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_8__init___3genexpr(PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_features, PyObject *__pyx_v_trainingPositives, PyObject *__pyx_v_trainingNegatives, PyObject *__pyx_v_windowSize, PyObject *__pyx_v_windowStep); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_2__str__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_4__repr__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_lambda_funcdef_lambda16(PyObject *__pyx_self, PyObject *__pyx_v_pos, PyObject *__pyx_v_neg); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_6getCrossValidationConstructor(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_8scoreWindow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_seq); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_24trainSinglePREdictorModel(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_motifs, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives, PyObject *__pyx_v_windowSize, PyObject *__pyx_v_windowStep); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_26createDummyPREdictorModel(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_motifs, PyObject *__pyx_v_windowSize, PyObject *__pyx_v_windowStep); /* proto */
static PyObject *__pyx_pf_6gnocis_6models_28trainPREdictorModel(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_motifs, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives, PyObject *__pyx_v_windowSize, PyObject *__pyx_v_windowStep); /* proto */
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_1_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_3_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_5_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_6_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_7_setPoolModel(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_8_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_9_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_11_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_12_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_13_scoreSequence(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_14_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_16_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_18___init__(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_19_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_20_genexpr(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor(PyTypeObject *t, PyObject *a, PyObject *k); /*proto*/
static PyObject *__pyx_float_0_0;
static PyObject *__pyx_float_0_8;
static PyObject *__pyx_float_1_0;
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_1;
static PyObject *__pyx_int_2;
static PyObject *__pyx_int_4;
static PyObject *__pyx_int_10;
static PyObject *__pyx_int_219;
static PyObject *__pyx_int_500;
static PyObject *__pyx_int_1000;
static PyObject *__pyx_int_100000;
static PyObject *__pyx_slice__4;
static PyObject *__pyx_tuple__3;
static PyObject *__pyx_tuple__6;
static PyObject *__pyx_tuple__8;
static PyObject *__pyx_tuple__10;
static PyObject *__pyx_tuple__12;
static PyObject *__pyx_tuple__14;
static PyObject *__pyx_tuple__17;
static PyObject *__pyx_tuple__19;
static PyObject *__pyx_tuple__21;
static PyObject *__pyx_tuple__23;
static PyObject *__pyx_tuple__25;
static PyObject *__pyx_tuple__27;
static PyObject *__pyx_tuple__29;
static PyObject *__pyx_tuple__31;
static PyObject *__pyx_tuple__33;
static PyObject *__pyx_tuple__35;
static PyObject *__pyx_tuple__37;
static PyObject *__pyx_tuple__39;
static PyObject *__pyx_tuple__41;
static PyObject *__pyx_tuple__43;
static PyObject *__pyx_tuple__44;
static PyObject *__pyx_tuple__46;
static PyObject *__pyx_tuple__48;
static PyObject *__pyx_tuple__50;
static PyObject *__pyx_tuple__52;
static PyObject *__pyx_tuple__54;
static PyObject *__pyx_tuple__56;
static PyObject *__pyx_tuple__58;
static PyObject *__pyx_tuple__60;
static PyObject *__pyx_tuple__62;
static PyObject *__pyx_tuple__64;
static PyObject *__pyx_tuple__66;
static PyObject *__pyx_tuple__68;
static PyObject *__pyx_tuple__70;
static PyObject *__pyx_tuple__72;
static PyObject *__pyx_tuple__74;
static PyObject *__pyx_tuple__76;
static PyObject *__pyx_tuple__78;
static PyObject *__pyx_tuple__80;
static PyObject *__pyx_tuple__82;
static PyObject *__pyx_tuple__84;
static PyObject *__pyx_tuple__86;
static PyObject *__pyx_tuple__88;
static PyObject *__pyx_tuple__90;
static PyObject *__pyx_tuple__92;
static PyObject *__pyx_codeobj__7;
static PyObject *__pyx_codeobj__9;
static PyObject *__pyx_codeobj__11;
static PyObject *__pyx_codeobj__13;
static PyObject *__pyx_codeobj__15;
static PyObject *__pyx_codeobj__18;
static PyObject *__pyx_codeobj__20;
static PyObject *__pyx_codeobj__22;
static PyObject *__pyx_codeobj__24;
static PyObject *__pyx_codeobj__26;
static PyObject *__pyx_codeobj__28;
static PyObject *__pyx_codeobj__30;
static PyObject *__pyx_codeobj__32;
static PyObject *__pyx_codeobj__34;
static PyObject *__pyx_codeobj__36;
static PyObject *__pyx_codeobj__38;
static PyObject *__pyx_codeobj__40;
static PyObject *__pyx_codeobj__42;
static PyObject *__pyx_codeobj__45;
static PyObject *__pyx_codeobj__47;
static PyObject *__pyx_codeobj__49;
static PyObject *__pyx_codeobj__51;
static PyObject *__pyx_codeobj__53;
static PyObject *__pyx_codeobj__55;
static PyObject *__pyx_codeobj__57;
static PyObject *__pyx_codeobj__59;
static PyObject *__pyx_codeobj__61;
static PyObject *__pyx_codeobj__63;
static PyObject *__pyx_codeobj__65;
static PyObject *__pyx_codeobj__67;
static PyObject *__pyx_codeobj__69;
static PyObject *__pyx_codeobj__71;
static PyObject *__pyx_codeobj__73;
static PyObject *__pyx_codeobj__75;
static PyObject *__pyx_codeobj__77;
static PyObject *__pyx_codeobj__79;
static PyObject *__pyx_codeobj__81;
static PyObject *__pyx_codeobj__83;
static PyObject *__pyx_codeobj__85;
static PyObject *__pyx_codeobj__87;
static PyObject *__pyx_codeobj__89;
static PyObject *__pyx_codeobj__91;
static PyObject *__pyx_codeobj__93;
/* Late includes */

/* "gnocis/models.pyx":31
 * 
 * # Used for applying models in separate processes
 * def multiprocessModelDeployer(args):             # <<<<<<<<<<<<<<
 * 	cdef sequences seqs
 * 	cdef sequence seq, win
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_1multiprocessModelDeployer(PyObject *__pyx_self, PyObject *__pyx_v_args); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_1multiprocessModelDeployer = {"multiprocessModelDeployer", (PyCFunction)__pyx_pw_6gnocis_6models_1multiprocessModelDeployer, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_1multiprocessModelDeployer(PyObject *__pyx_self, PyObject *__pyx_v_args) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("multiprocessModelDeployer (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_multiprocessModelDeployer(__pyx_self, ((PyObject *)__pyx_v_args));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_25multiprocessModelDeployer_7genexpr_2generator(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":42
 * 		max(
 * 			(
 * 				model.scoreWindow(win)             # <<<<<<<<<<<<<<
 * 				for win in
 * 				seq.getWindows(windowSize, windowStep)
 */

static PyObject *__pyx_pf_6gnocis_6models_25multiprocessModelDeployer_7genexpr_genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_1_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_1_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 42, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_25multiprocessModelDeployer_7genexpr_2generator, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_multiprocessModelDeployer_locals, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 42, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.multiprocessModelDeployer.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_25multiprocessModelDeployer_7genexpr_2generator(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  Py_ssize_t __pyx_t_8;
  PyObject *(*__pyx_t_9)(PyObject *);
  Py_ssize_t __pyx_t_10;
  int __pyx_t_11;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    case 1: goto __pyx_L7_resume_from_yield;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 42, __pyx_L1_error)

  /* "gnocis/models.pyx":44
 * 				model.scoreWindow(win)
 * 				for win in
 * 				seq.getWindows(windowSize, windowStep)             # <<<<<<<<<<<<<<
 * 				if len(win) == windowSize
 * 			),
 */
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_7genexpr__pyx_v_seq)) { __Pyx_RaiseClosureNameError("seq"); __PYX_ERR(0, 44, __pyx_L1_error) }
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_cur_scope->__pyx_outer_scope->__pyx_7genexpr__pyx_v_seq), __pyx_n_s_getWindows); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 44, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_windowSize); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 44, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_4 = __Pyx_PyInt_From_int(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_windowStep); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 44, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_3, __pyx_t_4};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 44, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_3, __pyx_t_4};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 44, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 44, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_5) {
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_5); __pyx_t_5 = NULL;
    }
    __Pyx_GIVEREF(__pyx_t_3);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_t_3);
    __Pyx_GIVEREF(__pyx_t_4);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_t_4);
    __pyx_t_3 = 0;
    __pyx_t_4 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_7, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 44, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (likely(PyList_CheckExact(__pyx_t_1)) || PyTuple_CheckExact(__pyx_t_1)) {
    __pyx_t_2 = __pyx_t_1; __Pyx_INCREF(__pyx_t_2); __pyx_t_8 = 0;
    __pyx_t_9 = NULL;
  } else {
    __pyx_t_8 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 44, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 44, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  for (;;) {
    if (likely(!__pyx_t_9)) {
      if (likely(PyList_CheckExact(__pyx_t_2))) {
        if (__pyx_t_8 >= PyList_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_8); __Pyx_INCREF(__pyx_t_1); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 44, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 44, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      } else {
        if (__pyx_t_8 >= PyTuple_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_8); __Pyx_INCREF(__pyx_t_1); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 44, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 44, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      }
    } else {
      __pyx_t_1 = __pyx_t_9(__pyx_t_2);
      if (unlikely(!__pyx_t_1)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 44, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_1);
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_win);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_win, __pyx_t_1);
    __Pyx_GIVEREF(__pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":45
 * 				for win in
 * 				seq.getWindows(windowSize, windowStep)
 * 				if len(win) == windowSize             # <<<<<<<<<<<<<<
 * 			),
 * 			default = defaultValue
 */
    __pyx_t_10 = PyObject_Length(__pyx_cur_scope->__pyx_v_win); if (unlikely(__pyx_t_10 == ((Py_ssize_t)-1))) __PYX_ERR(0, 45, __pyx_L1_error)
    __pyx_t_11 = ((__pyx_t_10 == __pyx_cur_scope->__pyx_outer_scope->__pyx_v_windowSize) != 0);
    if (__pyx_t_11) {

      /* "gnocis/models.pyx":42
 * 		max(
 * 			(
 * 				model.scoreWindow(win)             # <<<<<<<<<<<<<<
 * 				for win in
 * 				seq.getWindows(windowSize, windowStep)
 */
      __Pyx_GetModuleGlobalName(__pyx_t_7, __pyx_n_s_model); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 42, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_scoreWindow); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 42, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __pyx_t_7 = NULL;
      if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) {
        __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_4);
        if (likely(__pyx_t_7)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
          __Pyx_INCREF(__pyx_t_7);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_4, function);
        }
      }
      __pyx_t_1 = (__pyx_t_7) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_7, __pyx_cur_scope->__pyx_v_win) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_cur_scope->__pyx_v_win);
      __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
      if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 42, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_r = __pyx_t_1;
      __pyx_t_1 = 0;
      __Pyx_XGIVEREF(__pyx_t_2);
      __pyx_cur_scope->__pyx_t_0 = __pyx_t_2;
      __pyx_cur_scope->__pyx_t_1 = __pyx_t_8;
      __pyx_cur_scope->__pyx_t_2 = __pyx_t_9;
      __Pyx_XGIVEREF(__pyx_r);
      __Pyx_RefNannyFinishContext();
      __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
      /* return from generator, yielding value */
      __pyx_generator->resume_label = 1;
      return __pyx_r;
      __pyx_L7_resume_from_yield:;
      __pyx_t_2 = __pyx_cur_scope->__pyx_t_0;
      __pyx_cur_scope->__pyx_t_0 = 0;
      __Pyx_XGOTREF(__pyx_t_2);
      __pyx_t_8 = __pyx_cur_scope->__pyx_t_1;
      __pyx_t_9 = __pyx_cur_scope->__pyx_t_2;
      if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 42, __pyx_L1_error)

      /* "gnocis/models.pyx":45
 * 				for win in
 * 				seq.getWindows(windowSize, windowStep)
 * 				if len(win) == windowSize             # <<<<<<<<<<<<<<
 * 			),
 * 			default = defaultValue
 */
    }

    /* "gnocis/models.pyx":43
 * 			(
 * 				model.scoreWindow(win)
 * 				for win in             # <<<<<<<<<<<<<<
 * 				seq.getWindows(windowSize, windowStep)
 * 				if len(win) == windowSize
 */
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* "gnocis/models.pyx":42
 * 		max(
 * 			(
 * 				model.scoreWindow(win)             # <<<<<<<<<<<<<<
 * 				for win in
 * 				seq.getWindows(windowSize, windowStep)
 */

  /* function exit code */
  PyErr_SetNone(PyExc_StopIteration);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":31
 * 
 * # Used for applying models in separate processes
 * def multiprocessModelDeployer(args):             # <<<<<<<<<<<<<<
 * 	cdef sequences seqs
 * 	cdef sequence seq, win
 */

static PyObject *__pyx_pf_6gnocis_6models_multiprocessModelDeployer(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_args) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *__pyx_cur_scope;
  struct __pyx_obj_6gnocis_9sequences_sequences *__pyx_v_seqs = 0;
  PyObject *__pyx_v_defaultValue = 0;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  int __pyx_t_3;
  Py_ssize_t __pyx_t_4;
  PyObject *(*__pyx_t_5)(PyObject *);
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  __Pyx_RefNannySetupContext("multiprocessModelDeployer", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer(__pyx_ptype_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 31, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }

  /* "gnocis/models.pyx":34
 * 	cdef sequences seqs
 * 	cdef sequence seq, win
 * 	cdef defaultValue = float('-INF')             # <<<<<<<<<<<<<<
 * 	global model
 * 	seqs = args
 */
  __pyx_t_1 = __Pyx_PyNumber_Float(__pyx_kp_u_INF); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 34, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_defaultValue = __pyx_t_1;
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":36
 * 	cdef defaultValue = float('-INF')
 * 	global model
 * 	seqs = args             # <<<<<<<<<<<<<<
 * 	cdef int windowSize = model.windowSize
 * 	cdef int windowStep = model.windowStep
 */
  if (!(likely(((__pyx_v_args) == Py_None) || likely(__Pyx_TypeTest(__pyx_v_args, __pyx_ptype_6gnocis_9sequences_sequences))))) __PYX_ERR(0, 36, __pyx_L1_error)
  __pyx_t_1 = __pyx_v_args;
  __Pyx_INCREF(__pyx_t_1);
  __pyx_v_seqs = ((struct __pyx_obj_6gnocis_9sequences_sequences *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":37
 * 	global model
 * 	seqs = args
 * 	cdef int windowSize = model.windowSize             # <<<<<<<<<<<<<<
 * 	cdef int windowStep = model.windowStep
 * 	return [
 */
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_model); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 37, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_windowSize); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 37, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_3 = __Pyx_PyInt_As_int(__pyx_t_2); if (unlikely((__pyx_t_3 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 37, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_cur_scope->__pyx_v_windowSize = __pyx_t_3;

  /* "gnocis/models.pyx":38
 * 	seqs = args
 * 	cdef int windowSize = model.windowSize
 * 	cdef int windowStep = model.windowStep             # <<<<<<<<<<<<<<
 * 	return [
 * 		max(
 */
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_model); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 38, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_windowStep); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 38, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_3 = __Pyx_PyInt_As_int(__pyx_t_1); if (unlikely((__pyx_t_3 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 38, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_cur_scope->__pyx_v_windowStep = __pyx_t_3;

  /* "gnocis/models.pyx":39
 * 	cdef int windowSize = model.windowSize
 * 	cdef int windowStep = model.windowStep
 * 	return [             # <<<<<<<<<<<<<<
 * 		max(
 * 			(
 */
  __Pyx_XDECREF(__pyx_r);
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 39, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);

    /* "gnocis/models.pyx":49
 * 			default = defaultValue
 * 		)
 * 		for seq in seqs             # <<<<<<<<<<<<<<
 * 	]
 * 
 */
    if (likely(PyList_CheckExact(((PyObject *)__pyx_v_seqs))) || PyTuple_CheckExact(((PyObject *)__pyx_v_seqs))) {
      __pyx_t_2 = ((PyObject *)__pyx_v_seqs); __Pyx_INCREF(__pyx_t_2); __pyx_t_4 = 0;
      __pyx_t_5 = NULL;
    } else {
      __pyx_t_4 = -1; __pyx_t_2 = PyObject_GetIter(((PyObject *)__pyx_v_seqs)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 49, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __pyx_t_5 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 49, __pyx_L1_error)
    }
    for (;;) {
      if (likely(!__pyx_t_5)) {
        if (likely(PyList_CheckExact(__pyx_t_2))) {
          if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_2)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_6 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_4); __Pyx_INCREF(__pyx_t_6); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 49, __pyx_L1_error)
          #else
          __pyx_t_6 = PySequence_ITEM(__pyx_t_2, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 49, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_6);
          #endif
        } else {
          if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_2)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_6 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_4); __Pyx_INCREF(__pyx_t_6); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 49, __pyx_L1_error)
          #else
          __pyx_t_6 = PySequence_ITEM(__pyx_t_2, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 49, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_6);
          #endif
        }
      } else {
        __pyx_t_6 = __pyx_t_5(__pyx_t_2);
        if (unlikely(!__pyx_t_6)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 49, __pyx_L1_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_6);
      }
      if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_ptype_6gnocis_9sequences_sequence))))) __PYX_ERR(0, 49, __pyx_L1_error)
      __Pyx_XGOTREF(((PyObject *)__pyx_cur_scope->__pyx_7genexpr__pyx_v_seq));
      __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_7genexpr__pyx_v_seq, ((struct __pyx_obj_6gnocis_9sequences_sequence *)__pyx_t_6));
      __Pyx_GIVEREF(__pyx_t_6);
      __pyx_t_6 = 0;

      /* "gnocis/models.pyx":42
 * 		max(
 * 			(
 * 				model.scoreWindow(win)             # <<<<<<<<<<<<<<
 * 				for win in
 * 				seq.getWindows(windowSize, windowStep)
 */
      __pyx_t_6 = __pyx_pf_6gnocis_6models_25multiprocessModelDeployer_7genexpr_genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 42, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);

      /* "gnocis/models.pyx":40
 * 	cdef int windowStep = model.windowStep
 * 	return [
 * 		max(             # <<<<<<<<<<<<<<
 * 			(
 * 				model.scoreWindow(win)
 */
      __pyx_t_7 = PyTuple_New(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 40, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_GIVEREF(__pyx_t_6);
      PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_6);
      __pyx_t_6 = 0;

      /* "gnocis/models.pyx":47
 * 				if len(win) == windowSize
 * 			),
 * 			default = defaultValue             # <<<<<<<<<<<<<<
 * 		)
 * 		for seq in seqs
 */
      __pyx_t_6 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 47, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      if (PyDict_SetItem(__pyx_t_6, __pyx_n_s_default, __pyx_v_defaultValue) < 0) __PYX_ERR(0, 47, __pyx_L1_error)

      /* "gnocis/models.pyx":40
 * 	cdef int windowStep = model.windowStep
 * 	return [
 * 		max(             # <<<<<<<<<<<<<<
 * 			(
 * 				model.scoreWindow(win)
 */
      __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_max, __pyx_t_7, __pyx_t_6); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 40, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_8))) __PYX_ERR(0, 39, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

      /* "gnocis/models.pyx":49
 * 			default = defaultValue
 * 		)
 * 		for seq in seqs             # <<<<<<<<<<<<<<
 * 	]
 * 
 */
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  } /* exit inner scope */
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":31
 * 
 * # Used for applying models in separate processes
 * def multiprocessModelDeployer(args):             # <<<<<<<<<<<<<<
 * 	cdef sequences seqs
 * 	cdef sequence seq, win
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_AddTraceback("gnocis.models.multiprocessModelDeployer", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF((PyObject *)__pyx_v_seqs);
  __Pyx_XDECREF(__pyx_v_defaultValue);
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":52
 * 	]
 * 
 * def initializePoolProcess(arg):             # <<<<<<<<<<<<<<
 * 	global processID, model
 * 	processID, model = None, None
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_3initializePoolProcess(PyObject *__pyx_self, PyObject *__pyx_v_arg); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_3initializePoolProcess = {"initializePoolProcess", (PyCFunction)__pyx_pw_6gnocis_6models_3initializePoolProcess, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_3initializePoolProcess(PyObject *__pyx_self, PyObject *__pyx_v_arg) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("initializePoolProcess (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_2initializePoolProcess(__pyx_self, ((PyObject *)__pyx_v_arg));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_2initializePoolProcess(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_arg) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  __Pyx_RefNannySetupContext("initializePoolProcess", 0);

  /* "gnocis/models.pyx":54
 * def initializePoolProcess(arg):
 * 	global processID, model
 * 	processID, model = None, None             # <<<<<<<<<<<<<<
 * 
 * def setPoolProcessID(newID):
 */
  __pyx_t_1 = Py_None;
  __Pyx_INCREF(__pyx_t_1);
  __pyx_t_2 = Py_None;
  __Pyx_INCREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_processID, __pyx_t_1) < 0) __PYX_ERR(0, 54, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_model, __pyx_t_2) < 0) __PYX_ERR(0, 54, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":52
 * 	]
 * 
 * def initializePoolProcess(arg):             # <<<<<<<<<<<<<<
 * 	global processID, model
 * 	processID, model = None, None
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_AddTraceback("gnocis.models.initializePoolProcess", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":56
 * 	processID, model = None, None
 * 
 * def setPoolProcessID(newID):             # <<<<<<<<<<<<<<
 * 	global processID
 * 	processID = newID
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_5setPoolProcessID(PyObject *__pyx_self, PyObject *__pyx_v_newID); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_5setPoolProcessID = {"setPoolProcessID", (PyCFunction)__pyx_pw_6gnocis_6models_5setPoolProcessID, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_5setPoolProcessID(PyObject *__pyx_self, PyObject *__pyx_v_newID) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("setPoolProcessID (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_4setPoolProcessID(__pyx_self, ((PyObject *)__pyx_v_newID));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_4setPoolProcessID(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_newID) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("setPoolProcessID", 0);

  /* "gnocis/models.pyx":58
 * def setPoolProcessID(newID):
 * 	global processID
 * 	processID = newID             # <<<<<<<<<<<<<<
 * 	return True
 * 
 */
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_processID, __pyx_v_newID) < 0) __PYX_ERR(0, 58, __pyx_L1_error)

  /* "gnocis/models.pyx":59
 * 	global processID
 * 	processID = newID
 * 	return True             # <<<<<<<<<<<<<<
 * 
 * def getPoolProcessID(arg):
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(Py_True);
  __pyx_r = Py_True;
  goto __pyx_L0;

  /* "gnocis/models.pyx":56
 * 	processID, model = None, None
 * 
 * def setPoolProcessID(newID):             # <<<<<<<<<<<<<<
 * 	global processID
 * 	processID = newID
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.setPoolProcessID", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":61
 * 	return True
 * 
 * def getPoolProcessID(arg):             # <<<<<<<<<<<<<<
 * 	global processID
 * 	return processID
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_7getPoolProcessID(PyObject *__pyx_self, PyObject *__pyx_v_arg); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_7getPoolProcessID = {"getPoolProcessID", (PyCFunction)__pyx_pw_6gnocis_6models_7getPoolProcessID, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_7getPoolProcessID(PyObject *__pyx_self, PyObject *__pyx_v_arg) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getPoolProcessID (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_6getPoolProcessID(__pyx_self, ((PyObject *)__pyx_v_arg));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_6getPoolProcessID(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_arg) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("getPoolProcessID", 0);

  /* "gnocis/models.pyx":63
 * def getPoolProcessID(arg):
 * 	global processID
 * 	return processID             # <<<<<<<<<<<<<<
 * 
 * def getPoolProcessModelID(arg):
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_processID); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 63, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":61
 * 	return True
 * 
 * def getPoolProcessID(arg):             # <<<<<<<<<<<<<<
 * 	global processID
 * 	return processID
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("gnocis.models.getPoolProcessID", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":65
 * 	return processID
 * 
 * def getPoolProcessModelID(arg):             # <<<<<<<<<<<<<<
 * 	global processID, model
 * 	if model == None:
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_9getPoolProcessModelID(PyObject *__pyx_self, PyObject *__pyx_v_arg); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_9getPoolProcessModelID = {"getPoolProcessModelID", (PyCFunction)__pyx_pw_6gnocis_6models_9getPoolProcessModelID, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_9getPoolProcessModelID(PyObject *__pyx_self, PyObject *__pyx_v_arg) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getPoolProcessModelID (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_8getPoolProcessModelID(__pyx_self, ((PyObject *)__pyx_v_arg));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_8getPoolProcessModelID(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_arg) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  int __pyx_t_3;
  Py_ssize_t __pyx_t_4;
  Py_UCS4 __pyx_t_5;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  __Pyx_RefNannySetupContext("getPoolProcessModelID", 0);

  /* "gnocis/models.pyx":67
 * def getPoolProcessModelID(arg):
 * 	global processID, model
 * 	if model == None:             # <<<<<<<<<<<<<<
 * 		return processID, None
 * 	return processID, '%d %s'%(model.modelID, str(model))
 */
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_model); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 67, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyObject_RichCompare(__pyx_t_1, Py_None, Py_EQ); __Pyx_XGOTREF(__pyx_t_2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 67, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 67, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__pyx_t_3) {

    /* "gnocis/models.pyx":68
 * 	global processID, model
 * 	if model == None:
 * 		return processID, None             # <<<<<<<<<<<<<<
 * 	return processID, '%d %s'%(model.modelID, str(model))
 * 
 */
    __Pyx_XDECREF(__pyx_r);
    __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_processID); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 68, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 68, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_GIVEREF(__pyx_t_2);
    PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2);
    __Pyx_INCREF(Py_None);
    __Pyx_GIVEREF(Py_None);
    PyTuple_SET_ITEM(__pyx_t_1, 1, Py_None);
    __pyx_t_2 = 0;
    __pyx_r = __pyx_t_1;
    __pyx_t_1 = 0;
    goto __pyx_L0;

    /* "gnocis/models.pyx":67
 * def getPoolProcessModelID(arg):
 * 	global processID, model
 * 	if model == None:             # <<<<<<<<<<<<<<
 * 		return processID, None
 * 	return processID, '%d %s'%(model.modelID, str(model))
 */
  }

  /* "gnocis/models.pyx":69
 * 	if model == None:
 * 		return processID, None
 * 	return processID, '%d %s'%(model.modelID, str(model))             # <<<<<<<<<<<<<<
 * 
 * def initializePoolProcessIDs(pool):
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_processID); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 69, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyTuple_New(3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 69, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = 0;
  __pyx_t_5 = 127;
  __Pyx_GetModuleGlobalName(__pyx_t_6, __pyx_n_s_model); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 69, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_modelID); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 69, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __pyx_t_6 = __Pyx_PyObject_Format(__pyx_t_7, __pyx_n_u_d); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 69, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  __pyx_t_5 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) > __pyx_t_5) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_6) : __pyx_t_5;
  __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_6);
  __Pyx_GIVEREF(__pyx_t_6);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_6);
  __pyx_t_6 = 0;
  __Pyx_INCREF(__pyx_kp_u_);
  __pyx_t_4 += 1;
  __Pyx_GIVEREF(__pyx_kp_u_);
  PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_kp_u_);
  __Pyx_GetModuleGlobalName(__pyx_t_6, __pyx_n_s_model); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 69, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __pyx_t_7 = __Pyx_PyObject_CallOneArg(((PyObject *)(&PyUnicode_Type)), __pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 69, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __pyx_t_5 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_7) > __pyx_t_5) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_7) : __pyx_t_5;
  __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_7);
  __Pyx_GIVEREF(__pyx_t_7);
  PyTuple_SET_ITEM(__pyx_t_2, 2, __pyx_t_7);
  __pyx_t_7 = 0;
  __pyx_t_7 = __Pyx_PyUnicode_Join(__pyx_t_2, 3, __pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 69, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 69, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1);
  __Pyx_GIVEREF(__pyx_t_7);
  PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_7);
  __pyx_t_1 = 0;
  __pyx_t_7 = 0;
  __pyx_r = __pyx_t_2;
  __pyx_t_2 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":65
 * 	return processID
 * 
 * def getPoolProcessModelID(arg):             # <<<<<<<<<<<<<<
 * 	global processID, model
 * 	if model == None:
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("gnocis.models.getPoolProcessModelID", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":71
 * 	return processID, '%d %s'%(model.modelID, str(model))
 * 
 * def initializePoolProcessIDs(pool):             # <<<<<<<<<<<<<<
 * 	while True:
 * 		pool.map( setPoolProcessID, list(range(len(pool._pool))) )
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_11initializePoolProcessIDs(PyObject *__pyx_self, PyObject *__pyx_v_pool); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_11initializePoolProcessIDs = {"initializePoolProcessIDs", (PyCFunction)__pyx_pw_6gnocis_6models_11initializePoolProcessIDs, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_11initializePoolProcessIDs(PyObject *__pyx_self, PyObject *__pyx_v_pool) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("initializePoolProcessIDs (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_10initializePoolProcessIDs(__pyx_self, ((PyObject *)__pyx_v_pool));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_10initializePoolProcessIDs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_pool) {
  PyObject *__pyx_v_procIDs = NULL;
  CYTHON_UNUSED Py_ssize_t __pyx_8genexpr2__pyx_v__;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  Py_ssize_t __pyx_t_5;
  PyObject *__pyx_t_6 = NULL;
  int __pyx_t_7;
  PyObject *__pyx_t_8 = NULL;
  Py_ssize_t __pyx_t_9;
  Py_ssize_t __pyx_t_10;
  int __pyx_t_11;
  __Pyx_RefNannySetupContext("initializePoolProcessIDs", 0);

  /* "gnocis/models.pyx":72
 * 
 * def initializePoolProcessIDs(pool):
 * 	while True:             # <<<<<<<<<<<<<<
 * 		pool.map( setPoolProcessID, list(range(len(pool._pool))) )
 * 		procIDs = set( pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) )
 */
  while (1) {

    /* "gnocis/models.pyx":73
 * def initializePoolProcessIDs(pool):
 * 	while True:
 * 		pool.map( setPoolProcessID, list(range(len(pool._pool))) )             # <<<<<<<<<<<<<<
 * 		procIDs = set( pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) )
 * 		if len(procIDs) == len(pool._pool):
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_map); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 73, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_setPoolProcessID); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 73, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 73, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = PyObject_Length(__pyx_t_4); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 73, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 73, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_builtin_range, __pyx_t_4); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 73, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = PySequence_List(__pyx_t_6); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 73, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __pyx_t_6 = NULL;
    __pyx_t_7 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_2, function);
        __pyx_t_7 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_t_3, __pyx_t_4};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 73, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_t_3, __pyx_t_4};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 73, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else
    #endif
    {
      __pyx_t_8 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 73, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      if (__pyx_t_6) {
        __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_6); __pyx_t_6 = NULL;
      }
      __Pyx_GIVEREF(__pyx_t_3);
      PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_7, __pyx_t_3);
      __Pyx_GIVEREF(__pyx_t_4);
      PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_7, __pyx_t_4);
      __pyx_t_3 = 0;
      __pyx_t_4 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_8, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 73, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":74
 * 	while True:
 * 		pool.map( setPoolProcessID, list(range(len(pool._pool))) )
 * 		procIDs = set( pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) )             # <<<<<<<<<<<<<<
 * 		if len(procIDs) == len(pool._pool):
 * 			break
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_map); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 74, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_GetModuleGlobalName(__pyx_t_8, __pyx_n_s_getPoolProcessID); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 74, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    { /* enter inner scope */
      __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 74, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 74, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_5 = PyObject_Length(__pyx_t_3); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 74, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_9 = __pyx_t_5;
      for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_9; __pyx_t_10+=1) {
        __pyx_8genexpr2__pyx_v__ = __pyx_t_10;
        if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_empty_tuple))) __PYX_ERR(0, 74, __pyx_L1_error)
      }
    } /* exit inner scope */
    __pyx_t_3 = NULL;
    __pyx_t_7 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
      __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2);
      if (likely(__pyx_t_3)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
        __Pyx_INCREF(__pyx_t_3);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_2, function);
        __pyx_t_7 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[3] = {__pyx_t_3, __pyx_t_8, __pyx_t_4};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 74, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[3] = {__pyx_t_3, __pyx_t_8, __pyx_t_4};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 74, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else
    #endif
    {
      __pyx_t_6 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 74, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      if (__pyx_t_3) {
        __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_3); __pyx_t_3 = NULL;
      }
      __Pyx_GIVEREF(__pyx_t_8);
      PyTuple_SET_ITEM(__pyx_t_6, 0+__pyx_t_7, __pyx_t_8);
      __Pyx_GIVEREF(__pyx_t_4);
      PyTuple_SET_ITEM(__pyx_t_6, 1+__pyx_t_7, __pyx_t_4);
      __pyx_t_8 = 0;
      __pyx_t_4 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 74, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = PySet_New(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 74, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF_SET(__pyx_v_procIDs, ((PyObject*)__pyx_t_2));
    __pyx_t_2 = 0;

    /* "gnocis/models.pyx":75
 * 		pool.map( setPoolProcessID, list(range(len(pool._pool))) )
 * 		procIDs = set( pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) )
 * 		if len(procIDs) == len(pool._pool):             # <<<<<<<<<<<<<<
 * 			break
 * 
 */
    __pyx_t_5 = PySet_GET_SIZE(__pyx_v_procIDs); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 75, __pyx_L1_error)
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 75, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = PyObject_Length(__pyx_t_2); if (unlikely(__pyx_t_9 == ((Py_ssize_t)-1))) __PYX_ERR(0, 75, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_11 = ((__pyx_t_5 == __pyx_t_9) != 0);
    if (__pyx_t_11) {

      /* "gnocis/models.pyx":76
 * 		procIDs = set( pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) )
 * 		if len(procIDs) == len(pool._pool):
 * 			break             # <<<<<<<<<<<<<<
 * 
 * def getPoolProcessIDs(pool):
 */
      goto __pyx_L4_break;

      /* "gnocis/models.pyx":75
 * 		pool.map( setPoolProcessID, list(range(len(pool._pool))) )
 * 		procIDs = set( pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) )
 * 		if len(procIDs) == len(pool._pool):             # <<<<<<<<<<<<<<
 * 			break
 * 
 */
    }
  }
  __pyx_L4_break:;

  /* "gnocis/models.pyx":71
 * 	return processID, '%d %s'%(model.modelID, str(model))
 * 
 * def initializePoolProcessIDs(pool):             # <<<<<<<<<<<<<<
 * 	while True:
 * 		pool.map( setPoolProcessID, list(range(len(pool._pool))) )
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_AddTraceback("gnocis.models.initializePoolProcessIDs", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_procIDs);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":78
 * 			break
 * 
 * def getPoolProcessIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	while True:
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13getPoolProcessIDs(PyObject *__pyx_self, PyObject *__pyx_v_pool); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_13getPoolProcessIDs = {"getPoolProcessIDs", (PyCFunction)__pyx_pw_6gnocis_6models_13getPoolProcessIDs, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_13getPoolProcessIDs(PyObject *__pyx_self, PyObject *__pyx_v_pool) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getPoolProcessIDs (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_12getPoolProcessIDs(__pyx_self, ((PyObject *)__pyx_v_pool));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_17getPoolProcessIDs_2generator1(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":81
 * 	pIDs = set()
 * 	while True:
 * 		pIDs = pIDs | set( v for v in pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) if v != None )             # <<<<<<<<<<<<<<
 * 		if len(pIDs) == len(pool._pool):
 * 			return pIDs
 */

static PyObject *__pyx_pf_6gnocis_6models_17getPoolProcessIDs_genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_3_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_3_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 81, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_17getPoolProcessIDs_2generator1, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_getPoolProcessIDs_locals_genexpr, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.getPoolProcessIDs.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_17getPoolProcessIDs_2generator1(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  Py_ssize_t __pyx_t_6;
  Py_ssize_t __pyx_t_7;
  Py_ssize_t __pyx_t_8;
  int __pyx_t_9;
  PyObject *__pyx_t_10 = NULL;
  PyObject *(*__pyx_t_11)(PyObject *);
  int __pyx_t_12;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 81, __pyx_L1_error)
  __pyx_r = PySet_New(NULL); if (unlikely(!__pyx_r)) __PYX_ERR(0, 81, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_r);
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_pool)) { __Pyx_RaiseClosureNameError("pool"); __PYX_ERR(0, 81, __pyx_L1_error) }
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_pool, __pyx_n_s_map); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 81, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_getPoolProcessID); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 81, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  { /* enter inner scope */
    __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_pool)) { __Pyx_RaiseClosureNameError("pool"); __PYX_ERR(0, 81, __pyx_L1_error) }
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_6 = PyObject_Length(__pyx_t_5); if (unlikely(__pyx_t_6 == ((Py_ssize_t)-1))) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_7 = __pyx_t_6;
    for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) {
      __pyx_cur_scope->__pyx_8genexpr4__pyx_v__ = __pyx_t_8;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_empty_tuple))) __PYX_ERR(0, 81, __pyx_L1_error)
    }
  } /* exit inner scope */
  __pyx_t_5 = NULL;
  __pyx_t_9 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
      __pyx_t_9 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_3, __pyx_t_4};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_9, 2+__pyx_t_9); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_3, __pyx_t_4};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_9, 2+__pyx_t_9); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  } else
  #endif
  {
    __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_10);
    if (__pyx_t_5) {
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_5); __pyx_t_5 = NULL;
    }
    __Pyx_GIVEREF(__pyx_t_3);
    PyTuple_SET_ITEM(__pyx_t_10, 0+__pyx_t_9, __pyx_t_3);
    __Pyx_GIVEREF(__pyx_t_4);
    PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_4);
    __pyx_t_3 = 0;
    __pyx_t_4 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (likely(PyList_CheckExact(__pyx_t_1)) || PyTuple_CheckExact(__pyx_t_1)) {
    __pyx_t_2 = __pyx_t_1; __Pyx_INCREF(__pyx_t_2); __pyx_t_6 = 0;
    __pyx_t_11 = NULL;
  } else {
    __pyx_t_6 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_11 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 81, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  for (;;) {
    if (likely(!__pyx_t_11)) {
      if (likely(PyList_CheckExact(__pyx_t_2))) {
        if (__pyx_t_6 >= PyList_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_6); __Pyx_INCREF(__pyx_t_1); __pyx_t_6++; if (unlikely(0 < 0)) __PYX_ERR(0, 81, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_6); __pyx_t_6++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 81, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      } else {
        if (__pyx_t_6 >= PyTuple_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_6); __Pyx_INCREF(__pyx_t_1); __pyx_t_6++; if (unlikely(0 < 0)) __PYX_ERR(0, 81, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_6); __pyx_t_6++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 81, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      }
    } else {
      __pyx_t_1 = __pyx_t_11(__pyx_t_2);
      if (unlikely(!__pyx_t_1)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 81, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_1);
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_v);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_v, __pyx_t_1);
    __Pyx_GIVEREF(__pyx_t_1);
    __pyx_t_1 = 0;
    __pyx_t_1 = PyObject_RichCompare(__pyx_cur_scope->__pyx_v_v, Py_None, Py_NE); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 81, __pyx_L1_error)
    __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (__pyx_t_12) {
      if (unlikely(PySet_Add(__pyx_r, (PyObject*)__pyx_cur_scope->__pyx_v_v))) __PYX_ERR(0, 81, __pyx_L1_error)
    }
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_10);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":78
 * 			break
 * 
 * def getPoolProcessIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	while True:
 */

static PyObject *__pyx_pf_6gnocis_6models_12getPoolProcessIDs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_pool) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *__pyx_cur_scope;
  PyObject *__pyx_v_pIDs = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  Py_ssize_t __pyx_t_3;
  Py_ssize_t __pyx_t_4;
  int __pyx_t_5;
  __Pyx_RefNannySetupContext("getPoolProcessIDs", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs(__pyx_ptype_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 78, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_v_pool = __pyx_v_pool;
  __Pyx_INCREF(__pyx_cur_scope->__pyx_v_pool);
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_v_pool);

  /* "gnocis/models.pyx":79
 * 
 * def getPoolProcessIDs(pool):
 * 	pIDs = set()             # <<<<<<<<<<<<<<
 * 	while True:
 * 		pIDs = pIDs | set( v for v in pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) if v != None )
 */
  __pyx_t_1 = PySet_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 79, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_pIDs = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":80
 * def getPoolProcessIDs(pool):
 * 	pIDs = set()
 * 	while True:             # <<<<<<<<<<<<<<
 * 		pIDs = pIDs | set( v for v in pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) if v != None )
 * 		if len(pIDs) == len(pool._pool):
 */
  while (1) {

    /* "gnocis/models.pyx":81
 * 	pIDs = set()
 * 	while True:
 * 		pIDs = pIDs | set( v for v in pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) if v != None )             # <<<<<<<<<<<<<<
 * 		if len(pIDs) == len(pool._pool):
 * 			return pIDs
 */
    __pyx_t_1 = __pyx_pf_6gnocis_6models_17getPoolProcessIDs_genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = __Pyx_Generator_Next(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = PyNumber_Or(__pyx_v_pIDs, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 81, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF_SET(__pyx_v_pIDs, ((PyObject*)__pyx_t_1));
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":82
 * 	while True:
 * 		pIDs = pIDs | set( v for v in pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) if v != None )
 * 		if len(pIDs) == len(pool._pool):             # <<<<<<<<<<<<<<
 * 			return pIDs
 * 
 */
    __pyx_t_3 = PySet_GET_SIZE(__pyx_v_pIDs); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 82, __pyx_L1_error)
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 82, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = PyObject_Length(__pyx_t_1); if (unlikely(__pyx_t_4 == ((Py_ssize_t)-1))) __PYX_ERR(0, 82, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_5 = ((__pyx_t_3 == __pyx_t_4) != 0);
    if (__pyx_t_5) {

      /* "gnocis/models.pyx":83
 * 		pIDs = pIDs | set( v for v in pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) if v != None )
 * 		if len(pIDs) == len(pool._pool):
 * 			return pIDs             # <<<<<<<<<<<<<<
 * 
 * def getPoolModelIDs(pool):
 */
      __Pyx_XDECREF(__pyx_r);
      __Pyx_INCREF(__pyx_v_pIDs);
      __pyx_r = __pyx_v_pIDs;
      goto __pyx_L0;

      /* "gnocis/models.pyx":82
 * 	while True:
 * 		pIDs = pIDs | set( v for v in pool.map( getPoolProcessID, [ () for _ in range(len(pool._pool)) ] ) if v != None )
 * 		if len(pIDs) == len(pool._pool):             # <<<<<<<<<<<<<<
 * 			return pIDs
 * 
 */
    }
  }

  /* "gnocis/models.pyx":78
 * 			break
 * 
 * def getPoolProcessIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	while True:
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_AddTraceback("gnocis.models.getPoolProcessIDs", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_pIDs);
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":85
 * 			return pIDs
 * 
 * def getPoolModelIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	mIDs = set()
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_15getPoolModelIDs(PyObject *__pyx_self, PyObject *__pyx_v_pool); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_15getPoolModelIDs = {"getPoolModelIDs", (PyCFunction)__pyx_pw_6gnocis_6models_15getPoolModelIDs, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_15getPoolModelIDs(PyObject *__pyx_self, PyObject *__pyx_v_pool) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getPoolModelIDs (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_14getPoolModelIDs(__pyx_self, ((PyObject *)__pyx_v_pool));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_15getPoolModelIDs_2generator2(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":90
 * 	while True:
 * 		r = pool.map( getPoolProcessModelID, [ () for _ in range(len(pool._pool)) ] )
 * 		pIDs = pIDs | set( pid for pid, mid in r if pid != None )             # <<<<<<<<<<<<<<
 * 		mIDs = mIDs | set( mid for pid, mid in r if pid != None )
 * 		if len(pIDs) == len(pool._pool):
 */

static PyObject *__pyx_pf_6gnocis_6models_15getPoolModelIDs_genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_5_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_5_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 90, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_15getPoolModelIDs_2generator2, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_getPoolModelIDs_locals_genexpr, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 90, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.getPoolModelIDs.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_15getPoolModelIDs_2generator2(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  PyObject *(*__pyx_t_3)(PyObject *);
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *(*__pyx_t_8)(PyObject *);
  int __pyx_t_9;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 90, __pyx_L1_error)
  __pyx_r = PySet_New(NULL); if (unlikely(!__pyx_r)) __PYX_ERR(0, 90, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_r);
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) { __Pyx_RaiseClosureNameError("r"); __PYX_ERR(0, 90, __pyx_L1_error) }
  if (likely(PyList_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) || PyTuple_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) {
    __pyx_t_1 = __pyx_cur_scope->__pyx_outer_scope->__pyx_v_r; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
    __pyx_t_3 = NULL;
  } else {
    __pyx_t_2 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 90, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 90, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_3)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_2 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 90, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 90, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      } else {
        if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 90, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 90, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      }
    } else {
      __pyx_t_4 = __pyx_t_3(__pyx_t_1);
      if (unlikely(!__pyx_t_4)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 90, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_4);
    }
    if ((likely(PyTuple_CheckExact(__pyx_t_4))) || (PyList_CheckExact(__pyx_t_4))) {
      PyObject* sequence = __pyx_t_4;
      Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
      if (unlikely(size != 2)) {
        if (size > 2) __Pyx_RaiseTooManyValuesError(2);
        else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
        __PYX_ERR(0, 90, __pyx_L1_error)
      }
      #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
      if (likely(PyTuple_CheckExact(sequence))) {
        __pyx_t_5 = PyTuple_GET_ITEM(sequence, 0); 
        __pyx_t_6 = PyTuple_GET_ITEM(sequence, 1); 
      } else {
        __pyx_t_5 = PyList_GET_ITEM(sequence, 0); 
        __pyx_t_6 = PyList_GET_ITEM(sequence, 1); 
      }
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_6);
      #else
      __pyx_t_5 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 90, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __pyx_t_6 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 90, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      #endif
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else {
      Py_ssize_t index = -1;
      __pyx_t_7 = PyObject_GetIter(__pyx_t_4); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 90, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_8 = Py_TYPE(__pyx_t_7)->tp_iternext;
      index = 0; __pyx_t_5 = __pyx_t_8(__pyx_t_7); if (unlikely(!__pyx_t_5)) goto __pyx_L6_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_5);
      index = 1; __pyx_t_6 = __pyx_t_8(__pyx_t_7); if (unlikely(!__pyx_t_6)) goto __pyx_L6_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_6);
      if (__Pyx_IternextUnpackEndCheck(__pyx_t_8(__pyx_t_7), 2) < 0) __PYX_ERR(0, 90, __pyx_L1_error)
      __pyx_t_8 = NULL;
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      goto __pyx_L7_unpacking_done;
      __pyx_L6_unpacking_failed:;
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __pyx_t_8 = NULL;
      if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
      __PYX_ERR(0, 90, __pyx_L1_error)
      __pyx_L7_unpacking_done:;
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_pid);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_pid, __pyx_t_5);
    __Pyx_GIVEREF(__pyx_t_5);
    __pyx_t_5 = 0;
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_mid);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_mid, __pyx_t_6);
    __Pyx_GIVEREF(__pyx_t_6);
    __pyx_t_6 = 0;
    __pyx_t_4 = PyObject_RichCompare(__pyx_cur_scope->__pyx_v_pid, Py_None, Py_NE); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 90, __pyx_L1_error)
    __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 90, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__pyx_t_9) {
      if (unlikely(PySet_Add(__pyx_r, (PyObject*)__pyx_cur_scope->__pyx_v_pid))) __PYX_ERR(0, 90, __pyx_L1_error)
    }
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_15getPoolModelIDs_5generator3(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":91
 * 		r = pool.map( getPoolProcessModelID, [ () for _ in range(len(pool._pool)) ] )
 * 		pIDs = pIDs | set( pid for pid, mid in r if pid != None )
 * 		mIDs = mIDs | set( mid for pid, mid in r if pid != None )             # <<<<<<<<<<<<<<
 * 		if len(pIDs) == len(pool._pool):
 * 			return mIDs
 */

static PyObject *__pyx_pf_6gnocis_6models_15getPoolModelIDs_3genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_6_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_6_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 91, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_15getPoolModelIDs_5generator3, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_getPoolModelIDs_locals_genexpr, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 91, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.getPoolModelIDs.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_15getPoolModelIDs_5generator3(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  PyObject *(*__pyx_t_3)(PyObject *);
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *(*__pyx_t_8)(PyObject *);
  int __pyx_t_9;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 91, __pyx_L1_error)
  __pyx_r = PySet_New(NULL); if (unlikely(!__pyx_r)) __PYX_ERR(0, 91, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_r);
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) { __Pyx_RaiseClosureNameError("r"); __PYX_ERR(0, 91, __pyx_L1_error) }
  if (likely(PyList_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) || PyTuple_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) {
    __pyx_t_1 = __pyx_cur_scope->__pyx_outer_scope->__pyx_v_r; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
    __pyx_t_3 = NULL;
  } else {
    __pyx_t_2 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 91, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 91, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_3)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_2 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 91, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 91, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      } else {
        if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 91, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 91, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      }
    } else {
      __pyx_t_4 = __pyx_t_3(__pyx_t_1);
      if (unlikely(!__pyx_t_4)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 91, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_4);
    }
    if ((likely(PyTuple_CheckExact(__pyx_t_4))) || (PyList_CheckExact(__pyx_t_4))) {
      PyObject* sequence = __pyx_t_4;
      Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
      if (unlikely(size != 2)) {
        if (size > 2) __Pyx_RaiseTooManyValuesError(2);
        else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
        __PYX_ERR(0, 91, __pyx_L1_error)
      }
      #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
      if (likely(PyTuple_CheckExact(sequence))) {
        __pyx_t_5 = PyTuple_GET_ITEM(sequence, 0); 
        __pyx_t_6 = PyTuple_GET_ITEM(sequence, 1); 
      } else {
        __pyx_t_5 = PyList_GET_ITEM(sequence, 0); 
        __pyx_t_6 = PyList_GET_ITEM(sequence, 1); 
      }
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_6);
      #else
      __pyx_t_5 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 91, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __pyx_t_6 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 91, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      #endif
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else {
      Py_ssize_t index = -1;
      __pyx_t_7 = PyObject_GetIter(__pyx_t_4); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 91, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_8 = Py_TYPE(__pyx_t_7)->tp_iternext;
      index = 0; __pyx_t_5 = __pyx_t_8(__pyx_t_7); if (unlikely(!__pyx_t_5)) goto __pyx_L6_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_5);
      index = 1; __pyx_t_6 = __pyx_t_8(__pyx_t_7); if (unlikely(!__pyx_t_6)) goto __pyx_L6_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_6);
      if (__Pyx_IternextUnpackEndCheck(__pyx_t_8(__pyx_t_7), 2) < 0) __PYX_ERR(0, 91, __pyx_L1_error)
      __pyx_t_8 = NULL;
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      goto __pyx_L7_unpacking_done;
      __pyx_L6_unpacking_failed:;
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __pyx_t_8 = NULL;
      if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
      __PYX_ERR(0, 91, __pyx_L1_error)
      __pyx_L7_unpacking_done:;
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_pid);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_pid, __pyx_t_5);
    __Pyx_GIVEREF(__pyx_t_5);
    __pyx_t_5 = 0;
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_mid);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_mid, __pyx_t_6);
    __Pyx_GIVEREF(__pyx_t_6);
    __pyx_t_6 = 0;
    __pyx_t_4 = PyObject_RichCompare(__pyx_cur_scope->__pyx_v_pid, Py_None, Py_NE); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 91, __pyx_L1_error)
    __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 91, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__pyx_t_9) {
      if (unlikely(PySet_Add(__pyx_r, (PyObject*)__pyx_cur_scope->__pyx_v_mid))) __PYX_ERR(0, 91, __pyx_L1_error)
    }
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":85
 * 			return pIDs
 * 
 * def getPoolModelIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	mIDs = set()
 */

static PyObject *__pyx_pf_6gnocis_6models_14getPoolModelIDs(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_pool) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *__pyx_cur_scope;
  PyObject *__pyx_v_pIDs = NULL;
  PyObject *__pyx_v_mIDs = NULL;
  CYTHON_UNUSED Py_ssize_t __pyx_8genexpr5__pyx_v__;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  Py_ssize_t __pyx_t_6;
  Py_ssize_t __pyx_t_7;
  Py_ssize_t __pyx_t_8;
  int __pyx_t_9;
  PyObject *__pyx_t_10 = NULL;
  int __pyx_t_11;
  __Pyx_RefNannySetupContext("getPoolModelIDs", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs(__pyx_ptype_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 85, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }

  /* "gnocis/models.pyx":86
 * 
 * def getPoolModelIDs(pool):
 * 	pIDs = set()             # <<<<<<<<<<<<<<
 * 	mIDs = set()
 * 	while True:
 */
  __pyx_t_1 = PySet_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 86, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_pIDs = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":87
 * def getPoolModelIDs(pool):
 * 	pIDs = set()
 * 	mIDs = set()             # <<<<<<<<<<<<<<
 * 	while True:
 * 		r = pool.map( getPoolProcessModelID, [ () for _ in range(len(pool._pool)) ] )
 */
  __pyx_t_1 = PySet_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 87, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_mIDs = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":88
 * 	pIDs = set()
 * 	mIDs = set()
 * 	while True:             # <<<<<<<<<<<<<<
 * 		r = pool.map( getPoolProcessModelID, [ () for _ in range(len(pool._pool)) ] )
 * 		pIDs = pIDs | set( pid for pid, mid in r if pid != None )
 */
  while (1) {

    /* "gnocis/models.pyx":89
 * 	mIDs = set()
 * 	while True:
 * 		r = pool.map( getPoolProcessModelID, [ () for _ in range(len(pool._pool)) ] )             # <<<<<<<<<<<<<<
 * 		pIDs = pIDs | set( pid for pid, mid in r if pid != None )
 * 		mIDs = mIDs | set( mid for pid, mid in r if pid != None )
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_map); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 89, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_getPoolProcessModelID); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 89, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    { /* enter inner scope */
      __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 89, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 89, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __pyx_t_6 = PyObject_Length(__pyx_t_5); if (unlikely(__pyx_t_6 == ((Py_ssize_t)-1))) __PYX_ERR(0, 89, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __pyx_t_7 = __pyx_t_6;
      for (__pyx_t_8 = 0; __pyx_t_8 < __pyx_t_7; __pyx_t_8+=1) {
        __pyx_8genexpr5__pyx_v__ = __pyx_t_8;
        if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_empty_tuple))) __PYX_ERR(0, 89, __pyx_L1_error)
      }
    } /* exit inner scope */
    __pyx_t_5 = NULL;
    __pyx_t_9 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
      __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_2);
      if (likely(__pyx_t_5)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
        __Pyx_INCREF(__pyx_t_5);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_2, function);
        __pyx_t_9 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_3, __pyx_t_4};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_9, 2+__pyx_t_9); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 89, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_3, __pyx_t_4};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_9, 2+__pyx_t_9); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 89, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else
    #endif
    {
      __pyx_t_10 = PyTuple_New(2+__pyx_t_9); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 89, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_10);
      if (__pyx_t_5) {
        __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_5); __pyx_t_5 = NULL;
      }
      __Pyx_GIVEREF(__pyx_t_3);
      PyTuple_SET_ITEM(__pyx_t_10, 0+__pyx_t_9, __pyx_t_3);
      __Pyx_GIVEREF(__pyx_t_4);
      PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_9, __pyx_t_4);
      __pyx_t_3 = 0;
      __pyx_t_4 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 89, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_r);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_r, __pyx_t_1);
    __Pyx_GIVEREF(__pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":90
 * 	while True:
 * 		r = pool.map( getPoolProcessModelID, [ () for _ in range(len(pool._pool)) ] )
 * 		pIDs = pIDs | set( pid for pid, mid in r if pid != None )             # <<<<<<<<<<<<<<
 * 		mIDs = mIDs | set( mid for pid, mid in r if pid != None )
 * 		if len(pIDs) == len(pool._pool):
 */
    __pyx_t_1 = __pyx_pf_6gnocis_6models_15getPoolModelIDs_genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 90, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = __Pyx_Generator_Next(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 90, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = PyNumber_Or(__pyx_v_pIDs, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 90, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF_SET(__pyx_v_pIDs, ((PyObject*)__pyx_t_1));
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":91
 * 		r = pool.map( getPoolProcessModelID, [ () for _ in range(len(pool._pool)) ] )
 * 		pIDs = pIDs | set( pid for pid, mid in r if pid != None )
 * 		mIDs = mIDs | set( mid for pid, mid in r if pid != None )             # <<<<<<<<<<<<<<
 * 		if len(pIDs) == len(pool._pool):
 * 			return mIDs
 */
    __pyx_t_1 = __pyx_pf_6gnocis_6models_15getPoolModelIDs_3genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 91, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = __Pyx_Generator_Next(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 91, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = PyNumber_Or(__pyx_v_mIDs, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 91, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF_SET(__pyx_v_mIDs, ((PyObject*)__pyx_t_1));
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":92
 * 		pIDs = pIDs | set( pid for pid, mid in r if pid != None )
 * 		mIDs = mIDs | set( mid for pid, mid in r if pid != None )
 * 		if len(pIDs) == len(pool._pool):             # <<<<<<<<<<<<<<
 * 			return mIDs
 * 
 */
    __pyx_t_6 = PySet_GET_SIZE(__pyx_v_pIDs); if (unlikely(__pyx_t_6 == ((Py_ssize_t)-1))) __PYX_ERR(0, 92, __pyx_L1_error)
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 92, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = PyObject_Length(__pyx_t_1); if (unlikely(__pyx_t_7 == ((Py_ssize_t)-1))) __PYX_ERR(0, 92, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_11 = ((__pyx_t_6 == __pyx_t_7) != 0);
    if (__pyx_t_11) {

      /* "gnocis/models.pyx":93
 * 		mIDs = mIDs | set( mid for pid, mid in r if pid != None )
 * 		if len(pIDs) == len(pool._pool):
 * 			return mIDs             # <<<<<<<<<<<<<<
 * 
 * def setPoolProcessModel(mdl):
 */
      __Pyx_XDECREF(__pyx_r);
      __Pyx_INCREF(__pyx_v_mIDs);
      __pyx_r = __pyx_v_mIDs;
      goto __pyx_L0;

      /* "gnocis/models.pyx":92
 * 		pIDs = pIDs | set( pid for pid, mid in r if pid != None )
 * 		mIDs = mIDs | set( mid for pid, mid in r if pid != None )
 * 		if len(pIDs) == len(pool._pool):             # <<<<<<<<<<<<<<
 * 			return mIDs
 * 
 */
    }
  }

  /* "gnocis/models.pyx":85
 * 			return pIDs
 * 
 * def getPoolModelIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	mIDs = set()
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_10);
  __Pyx_AddTraceback("gnocis.models.getPoolModelIDs", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_pIDs);
  __Pyx_XDECREF(__pyx_v_mIDs);
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":95
 * 			return mIDs
 * 
 * def setPoolProcessModel(mdl):             # <<<<<<<<<<<<<<
 * 	global model
 * 	model = mdl
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_17setPoolProcessModel(PyObject *__pyx_self, PyObject *__pyx_v_mdl); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_17setPoolProcessModel = {"setPoolProcessModel", (PyCFunction)__pyx_pw_6gnocis_6models_17setPoolProcessModel, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_17setPoolProcessModel(PyObject *__pyx_self, PyObject *__pyx_v_mdl) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("setPoolProcessModel (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_16setPoolProcessModel(__pyx_self, ((PyObject *)__pyx_v_mdl));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_16setPoolProcessModel(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_mdl) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("setPoolProcessModel", 0);

  /* "gnocis/models.pyx":97
 * def setPoolProcessModel(mdl):
 * 	global model
 * 	model = mdl             # <<<<<<<<<<<<<<
 * 	return True
 * 
 */
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_model, __pyx_v_mdl) < 0) __PYX_ERR(0, 97, __pyx_L1_error)

  /* "gnocis/models.pyx":98
 * 	global model
 * 	model = mdl
 * 	return True             # <<<<<<<<<<<<<<
 * 
 * def getPoolProcessHasModel(arg):
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(Py_True);
  __pyx_r = Py_True;
  goto __pyx_L0;

  /* "gnocis/models.pyx":95
 * 			return mIDs
 * 
 * def setPoolProcessModel(mdl):             # <<<<<<<<<<<<<<
 * 	global model
 * 	model = mdl
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.setPoolProcessModel", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":100
 * 	return True
 * 
 * def getPoolProcessHasModel(arg):             # <<<<<<<<<<<<<<
 * 	global model, processID
 * 	return (processID, model != None)
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_19getPoolProcessHasModel(PyObject *__pyx_self, PyObject *__pyx_v_arg); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_19getPoolProcessHasModel = {"getPoolProcessHasModel", (PyCFunction)__pyx_pw_6gnocis_6models_19getPoolProcessHasModel, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_19getPoolProcessHasModel(PyObject *__pyx_self, PyObject *__pyx_v_arg) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getPoolProcessHasModel (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_18getPoolProcessHasModel(__pyx_self, ((PyObject *)__pyx_v_arg));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_18getPoolProcessHasModel(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_arg) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  __Pyx_RefNannySetupContext("getPoolProcessHasModel", 0);

  /* "gnocis/models.pyx":102
 * def getPoolProcessHasModel(arg):
 * 	global model, processID
 * 	return (processID, model != None)             # <<<<<<<<<<<<<<
 * 
 * def setPoolModel(pool, mdl):
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_processID); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 102, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_model); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 102, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = PyObject_RichCompare(__pyx_t_2, Py_None, Py_NE); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 102, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 102, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1);
  __Pyx_GIVEREF(__pyx_t_3);
  PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_3);
  __pyx_t_1 = 0;
  __pyx_t_3 = 0;
  __pyx_r = __pyx_t_2;
  __pyx_t_2 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":100
 * 	return True
 * 
 * def getPoolProcessHasModel(arg):             # <<<<<<<<<<<<<<
 * 	global model, processID
 * 	return (processID, model != None)
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_AddTraceback("gnocis.models.getPoolProcessHasModel", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":104
 * 	return (processID, model != None)
 * 
 * def setPoolModel(pool, mdl):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	if mdl == None:
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_21setPoolModel(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_21setPoolModel = {"setPoolModel", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_21setPoolModel, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_21setPoolModel(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_pool = 0;
  PyObject *__pyx_v_mdl = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("setPoolModel (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_pool_2,&__pyx_n_s_mdl,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pool_2)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_mdl)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("setPoolModel", 1, 2, 2, 1); __PYX_ERR(0, 104, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "setPoolModel") < 0)) __PYX_ERR(0, 104, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_pool = values[0];
    __pyx_v_mdl = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("setPoolModel", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 104, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.setPoolModel", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_20setPoolModel(__pyx_self, __pyx_v_pool, __pyx_v_mdl);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_12setPoolModel_2generator4(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":113
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 * 			# We append the process-IDs that we confirmed are done
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if not hasModel )             # <<<<<<<<<<<<<<
 * 			if len(pIDs) == len(pool._pool):
 * 				break
 */

static PyObject *__pyx_pf_6gnocis_6models_12setPoolModel_genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_8_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_8_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 113, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_12setPoolModel_2generator4, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_setPoolModel_locals_genexpr, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 113, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.setPoolModel.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_12setPoolModel_2generator4(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  PyObject *(*__pyx_t_3)(PyObject *);
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *(*__pyx_t_8)(PyObject *);
  int __pyx_t_9;
  int __pyx_t_10;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 113, __pyx_L1_error)
  __pyx_r = PySet_New(NULL); if (unlikely(!__pyx_r)) __PYX_ERR(0, 113, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_r);
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) { __Pyx_RaiseClosureNameError("r"); __PYX_ERR(0, 113, __pyx_L1_error) }
  if (likely(PyList_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) || PyTuple_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) {
    __pyx_t_1 = __pyx_cur_scope->__pyx_outer_scope->__pyx_v_r; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
    __pyx_t_3 = NULL;
  } else {
    __pyx_t_2 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 113, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 113, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_3)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_2 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 113, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 113, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      } else {
        if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 113, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 113, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      }
    } else {
      __pyx_t_4 = __pyx_t_3(__pyx_t_1);
      if (unlikely(!__pyx_t_4)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 113, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_4);
    }
    if ((likely(PyTuple_CheckExact(__pyx_t_4))) || (PyList_CheckExact(__pyx_t_4))) {
      PyObject* sequence = __pyx_t_4;
      Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
      if (unlikely(size != 2)) {
        if (size > 2) __Pyx_RaiseTooManyValuesError(2);
        else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
        __PYX_ERR(0, 113, __pyx_L1_error)
      }
      #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
      if (likely(PyTuple_CheckExact(sequence))) {
        __pyx_t_5 = PyTuple_GET_ITEM(sequence, 0); 
        __pyx_t_6 = PyTuple_GET_ITEM(sequence, 1); 
      } else {
        __pyx_t_5 = PyList_GET_ITEM(sequence, 0); 
        __pyx_t_6 = PyList_GET_ITEM(sequence, 1); 
      }
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_6);
      #else
      __pyx_t_5 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 113, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __pyx_t_6 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 113, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      #endif
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else {
      Py_ssize_t index = -1;
      __pyx_t_7 = PyObject_GetIter(__pyx_t_4); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 113, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_8 = Py_TYPE(__pyx_t_7)->tp_iternext;
      index = 0; __pyx_t_5 = __pyx_t_8(__pyx_t_7); if (unlikely(!__pyx_t_5)) goto __pyx_L6_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_5);
      index = 1; __pyx_t_6 = __pyx_t_8(__pyx_t_7); if (unlikely(!__pyx_t_6)) goto __pyx_L6_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_6);
      if (__Pyx_IternextUnpackEndCheck(__pyx_t_8(__pyx_t_7), 2) < 0) __PYX_ERR(0, 113, __pyx_L1_error)
      __pyx_t_8 = NULL;
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      goto __pyx_L7_unpacking_done;
      __pyx_L6_unpacking_failed:;
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __pyx_t_8 = NULL;
      if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
      __PYX_ERR(0, 113, __pyx_L1_error)
      __pyx_L7_unpacking_done:;
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_pid);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_pid, __pyx_t_5);
    __Pyx_GIVEREF(__pyx_t_5);
    __pyx_t_5 = 0;
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_hasModel);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_hasModel, __pyx_t_6);
    __Pyx_GIVEREF(__pyx_t_6);
    __pyx_t_6 = 0;
    __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_cur_scope->__pyx_v_hasModel); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 113, __pyx_L1_error)
    __pyx_t_10 = ((!__pyx_t_9) != 0);
    if (__pyx_t_10) {
      if (unlikely(PySet_Add(__pyx_r, (PyObject*)__pyx_cur_scope->__pyx_v_pid))) __PYX_ERR(0, 113, __pyx_L1_error)
    }
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_12setPoolModel_5generator5(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":124
 * 			pool.map( setPoolProcessModel, [ mdl for _ in range(len(pool._pool)) ] )
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if hasModel )             # <<<<<<<<<<<<<<
 * 			if len(pIDs) == len(pool._pool):
 * 				break
 */

static PyObject *__pyx_pf_6gnocis_6models_12setPoolModel_3genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_9_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_9_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 124, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_12setPoolModel_5generator5, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_setPoolModel_locals_genexpr, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 124, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.setPoolModel.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_12setPoolModel_5generator5(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  PyObject *(*__pyx_t_3)(PyObject *);
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *(*__pyx_t_8)(PyObject *);
  int __pyx_t_9;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 124, __pyx_L1_error)
  __pyx_r = PySet_New(NULL); if (unlikely(!__pyx_r)) __PYX_ERR(0, 124, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_r);
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) { __Pyx_RaiseClosureNameError("r"); __PYX_ERR(0, 124, __pyx_L1_error) }
  if (likely(PyList_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) || PyTuple_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r)) {
    __pyx_t_1 = __pyx_cur_scope->__pyx_outer_scope->__pyx_v_r; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
    __pyx_t_3 = NULL;
  } else {
    __pyx_t_2 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_r); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 124, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 124, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_3)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_2 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 124, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 124, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      } else {
        if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 124, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 124, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      }
    } else {
      __pyx_t_4 = __pyx_t_3(__pyx_t_1);
      if (unlikely(!__pyx_t_4)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 124, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_4);
    }
    if ((likely(PyTuple_CheckExact(__pyx_t_4))) || (PyList_CheckExact(__pyx_t_4))) {
      PyObject* sequence = __pyx_t_4;
      Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
      if (unlikely(size != 2)) {
        if (size > 2) __Pyx_RaiseTooManyValuesError(2);
        else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
        __PYX_ERR(0, 124, __pyx_L1_error)
      }
      #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
      if (likely(PyTuple_CheckExact(sequence))) {
        __pyx_t_5 = PyTuple_GET_ITEM(sequence, 0); 
        __pyx_t_6 = PyTuple_GET_ITEM(sequence, 1); 
      } else {
        __pyx_t_5 = PyList_GET_ITEM(sequence, 0); 
        __pyx_t_6 = PyList_GET_ITEM(sequence, 1); 
      }
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_6);
      #else
      __pyx_t_5 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 124, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __pyx_t_6 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 124, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      #endif
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else {
      Py_ssize_t index = -1;
      __pyx_t_7 = PyObject_GetIter(__pyx_t_4); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 124, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_8 = Py_TYPE(__pyx_t_7)->tp_iternext;
      index = 0; __pyx_t_5 = __pyx_t_8(__pyx_t_7); if (unlikely(!__pyx_t_5)) goto __pyx_L6_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_5);
      index = 1; __pyx_t_6 = __pyx_t_8(__pyx_t_7); if (unlikely(!__pyx_t_6)) goto __pyx_L6_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_6);
      if (__Pyx_IternextUnpackEndCheck(__pyx_t_8(__pyx_t_7), 2) < 0) __PYX_ERR(0, 124, __pyx_L1_error)
      __pyx_t_8 = NULL;
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      goto __pyx_L7_unpacking_done;
      __pyx_L6_unpacking_failed:;
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __pyx_t_8 = NULL;
      if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
      __PYX_ERR(0, 124, __pyx_L1_error)
      __pyx_L7_unpacking_done:;
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_pid);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_pid, __pyx_t_5);
    __Pyx_GIVEREF(__pyx_t_5);
    __pyx_t_5 = 0;
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_hasModel);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_hasModel, __pyx_t_6);
    __Pyx_GIVEREF(__pyx_t_6);
    __pyx_t_6 = 0;
    __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_cur_scope->__pyx_v_hasModel); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 124, __pyx_L1_error)
    if (__pyx_t_9) {
      if (unlikely(PySet_Add(__pyx_r, (PyObject*)__pyx_cur_scope->__pyx_v_pid))) __PYX_ERR(0, 124, __pyx_L1_error)
    }
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":104
 * 	return (processID, model != None)
 * 
 * def setPoolModel(pool, mdl):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	if mdl == None:
 */

static PyObject *__pyx_pf_6gnocis_6models_20setPoolModel(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_pool, PyObject *__pyx_v_mdl) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *__pyx_cur_scope;
  PyObject *__pyx_v_pIDs = NULL;
  CYTHON_UNUSED Py_ssize_t __pyx_8genexpr8__pyx_v__;
  CYTHON_UNUSED Py_ssize_t __pyx_8genexpr9__pyx_v__;
  CYTHON_UNUSED Py_ssize_t __pyx_9genexpr11__pyx_v__;
  CYTHON_UNUSED Py_ssize_t __pyx_9genexpr12__pyx_v__;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_t_2;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  Py_ssize_t __pyx_t_7;
  Py_ssize_t __pyx_t_8;
  Py_ssize_t __pyx_t_9;
  int __pyx_t_10;
  PyObject *__pyx_t_11 = NULL;
  __Pyx_RefNannySetupContext("setPoolModel", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_7_setPoolModel(__pyx_ptype_6gnocis_6models___pyx_scope_struct_7_setPoolModel, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 104, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }

  /* "gnocis/models.pyx":105
 * 
 * def setPoolModel(pool, mdl):
 * 	pIDs = set()             # <<<<<<<<<<<<<<
 * 	if mdl == None:
 * 		# Purge models from all processes
 */
  __pyx_t_1 = PySet_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 105, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_pIDs = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":106
 * def setPoolModel(pool, mdl):
 * 	pIDs = set()
 * 	if mdl == None:             # <<<<<<<<<<<<<<
 * 		# Purge models from all processes
 * 		# The process-ID is used to ensure that all processes have updated data
 */
  __pyx_t_1 = PyObject_RichCompare(__pyx_v_mdl, Py_None, Py_EQ); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 106, __pyx_L1_error)
  __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 106, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (__pyx_t_2) {

    /* "gnocis/models.pyx":109
 * 		# Purge models from all processes
 * 		# The process-ID is used to ensure that all processes have updated data
 * 		while True:             # <<<<<<<<<<<<<<
 * 			pool.map( setPoolProcessModel, [ None for _ in range(len(pool._pool)) ] )
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 */
    while (1) {

      /* "gnocis/models.pyx":110
 * 		# The process-ID is used to ensure that all processes have updated data
 * 		while True:
 * 			pool.map( setPoolProcessModel, [ None for _ in range(len(pool._pool)) ] )             # <<<<<<<<<<<<<<
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 * 			# We append the process-IDs that we confirmed are done
 */
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_map); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 110, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_setPoolProcessModel); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 110, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      { /* enter inner scope */
        __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 110, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_5);
        __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 110, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_6);
        __pyx_t_7 = PyObject_Length(__pyx_t_6); if (unlikely(__pyx_t_7 == ((Py_ssize_t)-1))) __PYX_ERR(0, 110, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
        __pyx_t_8 = __pyx_t_7;
        for (__pyx_t_9 = 0; __pyx_t_9 < __pyx_t_8; __pyx_t_9+=1) {
          __pyx_8genexpr8__pyx_v__ = __pyx_t_9;
          if (unlikely(__Pyx_ListComp_Append(__pyx_t_5, (PyObject*)Py_None))) __PYX_ERR(0, 110, __pyx_L1_error)
        }
      } /* exit inner scope */
      __pyx_t_6 = NULL;
      __pyx_t_10 = 0;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
        __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3);
        if (likely(__pyx_t_6)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
          __Pyx_INCREF(__pyx_t_6);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_3, function);
          __pyx_t_10 = 1;
        }
      }
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_3)) {
        PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_t_4, __pyx_t_5};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 110, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
        PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_t_4, __pyx_t_5};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 110, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      } else
      #endif
      {
        __pyx_t_11 = PyTuple_New(2+__pyx_t_10); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 110, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        if (__pyx_t_6) {
          __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_6); __pyx_t_6 = NULL;
        }
        __Pyx_GIVEREF(__pyx_t_4);
        PyTuple_SET_ITEM(__pyx_t_11, 0+__pyx_t_10, __pyx_t_4);
        __Pyx_GIVEREF(__pyx_t_5);
        PyTuple_SET_ITEM(__pyx_t_11, 1+__pyx_t_10, __pyx_t_5);
        __pyx_t_4 = 0;
        __pyx_t_5 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_11, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 110, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      }
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

      /* "gnocis/models.pyx":111
 * 		while True:
 * 			pool.map( setPoolProcessModel, [ None for _ in range(len(pool._pool)) ] )
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )             # <<<<<<<<<<<<<<
 * 			# We append the process-IDs that we confirmed are done
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if not hasModel )
 */
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_map); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 111, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_GetModuleGlobalName(__pyx_t_11, __pyx_n_s_getPoolProcessHasModel); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 111, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      { /* enter inner scope */
        __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 111, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_5);
        __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 111, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __pyx_t_7 = PyObject_Length(__pyx_t_4); if (unlikely(__pyx_t_7 == ((Py_ssize_t)-1))) __PYX_ERR(0, 111, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __pyx_t_8 = __pyx_t_7;
        for (__pyx_t_9 = 0; __pyx_t_9 < __pyx_t_8; __pyx_t_9+=1) {
          __pyx_8genexpr9__pyx_v__ = __pyx_t_9;
          if (unlikely(__Pyx_ListComp_Append(__pyx_t_5, (PyObject*)__pyx_empty_tuple))) __PYX_ERR(0, 111, __pyx_L1_error)
        }
      } /* exit inner scope */
      __pyx_t_4 = NULL;
      __pyx_t_10 = 0;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
        __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3);
        if (likely(__pyx_t_4)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
          __Pyx_INCREF(__pyx_t_4);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_3, function);
          __pyx_t_10 = 1;
        }
      }
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_3)) {
        PyObject *__pyx_temp[3] = {__pyx_t_4, __pyx_t_11, __pyx_t_5};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 111, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
        PyObject *__pyx_temp[3] = {__pyx_t_4, __pyx_t_11, __pyx_t_5};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 111, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      } else
      #endif
      {
        __pyx_t_6 = PyTuple_New(2+__pyx_t_10); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 111, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_6);
        if (__pyx_t_4) {
          __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_4); __pyx_t_4 = NULL;
        }
        __Pyx_GIVEREF(__pyx_t_11);
        PyTuple_SET_ITEM(__pyx_t_6, 0+__pyx_t_10, __pyx_t_11);
        __Pyx_GIVEREF(__pyx_t_5);
        PyTuple_SET_ITEM(__pyx_t_6, 1+__pyx_t_10, __pyx_t_5);
        __pyx_t_11 = 0;
        __pyx_t_5 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 111, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      }
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_r);
      __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_r, __pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_1);
      __pyx_t_1 = 0;

      /* "gnocis/models.pyx":113
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 * 			# We append the process-IDs that we confirmed are done
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if not hasModel )             # <<<<<<<<<<<<<<
 * 			if len(pIDs) == len(pool._pool):
 * 				break
 */
      __pyx_t_1 = __pyx_pf_6gnocis_6models_12setPoolModel_genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 113, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_3 = __Pyx_Generator_Next(__pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 113, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_1 = PyNumber_Or(__pyx_v_pIDs, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 113, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF_SET(__pyx_v_pIDs, ((PyObject*)__pyx_t_1));
      __pyx_t_1 = 0;

      /* "gnocis/models.pyx":114
 * 			# We append the process-IDs that we confirmed are done
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if not hasModel )
 * 			if len(pIDs) == len(pool._pool):             # <<<<<<<<<<<<<<
 * 				break
 * 	if mdl != None:
 */
      __pyx_t_7 = PySet_GET_SIZE(__pyx_v_pIDs); if (unlikely(__pyx_t_7 == ((Py_ssize_t)-1))) __PYX_ERR(0, 114, __pyx_L1_error)
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 114, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_8 = PyObject_Length(__pyx_t_1); if (unlikely(__pyx_t_8 == ((Py_ssize_t)-1))) __PYX_ERR(0, 114, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_2 = ((__pyx_t_7 == __pyx_t_8) != 0);
      if (__pyx_t_2) {

        /* "gnocis/models.pyx":115
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if not hasModel )
 * 			if len(pIDs) == len(pool._pool):
 * 				break             # <<<<<<<<<<<<<<
 * 	if mdl != None:
 * 		# For non-None model, first purge the original model
 */
        goto __pyx_L5_break;

        /* "gnocis/models.pyx":114
 * 			# We append the process-IDs that we confirmed are done
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if not hasModel )
 * 			if len(pIDs) == len(pool._pool):             # <<<<<<<<<<<<<<
 * 				break
 * 	if mdl != None:
 */
      }
    }
    __pyx_L5_break:;

    /* "gnocis/models.pyx":106
 * def setPoolModel(pool, mdl):
 * 	pIDs = set()
 * 	if mdl == None:             # <<<<<<<<<<<<<<
 * 		# Purge models from all processes
 * 		# The process-ID is used to ensure that all processes have updated data
 */
  }

  /* "gnocis/models.pyx":116
 * 			if len(pIDs) == len(pool._pool):
 * 				break
 * 	if mdl != None:             # <<<<<<<<<<<<<<
 * 		# For non-None model, first purge the original model
 * 		setPoolModel(pool, None)
 */
  __pyx_t_1 = PyObject_RichCompare(__pyx_v_mdl, Py_None, Py_NE); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 116, __pyx_L1_error)
  __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 116, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (__pyx_t_2) {

    /* "gnocis/models.pyx":118
 * 	if mdl != None:
 * 		# For non-None model, first purge the original model
 * 		setPoolModel(pool, None)             # <<<<<<<<<<<<<<
 * 		# Then set the model for all processes
 * 		# The process-ID is used to ensure that all processes have updated data
 */
    __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_setPoolModel); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 118, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_6 = NULL;
    __pyx_t_10 = 0;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_3);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_3, function);
        __pyx_t_10 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_v_pool, Py_None};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 118, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_v_pool, Py_None};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 118, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    {
      __pyx_t_5 = PyTuple_New(2+__pyx_t_10); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 118, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      if (__pyx_t_6) {
        __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_6); __pyx_t_6 = NULL;
      }
      __Pyx_INCREF(__pyx_v_pool);
      __Pyx_GIVEREF(__pyx_v_pool);
      PyTuple_SET_ITEM(__pyx_t_5, 0+__pyx_t_10, __pyx_v_pool);
      __Pyx_INCREF(Py_None);
      __Pyx_GIVEREF(Py_None);
      PyTuple_SET_ITEM(__pyx_t_5, 1+__pyx_t_10, Py_None);
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 118, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":121
 * 		# Then set the model for all processes
 * 		# The process-ID is used to ensure that all processes have updated data
 * 		while True:             # <<<<<<<<<<<<<<
 * 			pool.map( setPoolProcessModel, [ mdl for _ in range(len(pool._pool)) ] )
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 */
    while (1) {

      /* "gnocis/models.pyx":122
 * 		# The process-ID is used to ensure that all processes have updated data
 * 		while True:
 * 			pool.map( setPoolProcessModel, [ mdl for _ in range(len(pool._pool)) ] )             # <<<<<<<<<<<<<<
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if hasModel )
 */
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_map); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 122, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_setPoolProcessModel); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 122, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      { /* enter inner scope */
        __pyx_t_6 = PyList_New(0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 122, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_6);
        __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 122, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        __pyx_t_8 = PyObject_Length(__pyx_t_11); if (unlikely(__pyx_t_8 == ((Py_ssize_t)-1))) __PYX_ERR(0, 122, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        __pyx_t_7 = __pyx_t_8;
        for (__pyx_t_9 = 0; __pyx_t_9 < __pyx_t_7; __pyx_t_9+=1) {
          __pyx_9genexpr11__pyx_v__ = __pyx_t_9;
          if (unlikely(__Pyx_ListComp_Append(__pyx_t_6, (PyObject*)__pyx_v_mdl))) __PYX_ERR(0, 122, __pyx_L1_error)
        }
      } /* exit inner scope */
      __pyx_t_11 = NULL;
      __pyx_t_10 = 0;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
        __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_3);
        if (likely(__pyx_t_11)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
          __Pyx_INCREF(__pyx_t_11);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_3, function);
          __pyx_t_10 = 1;
        }
      }
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_3)) {
        PyObject *__pyx_temp[3] = {__pyx_t_11, __pyx_t_5, __pyx_t_6};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 122, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
        PyObject *__pyx_temp[3] = {__pyx_t_11, __pyx_t_5, __pyx_t_6};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 122, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      {
        __pyx_t_4 = PyTuple_New(2+__pyx_t_10); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 122, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        if (__pyx_t_11) {
          __Pyx_GIVEREF(__pyx_t_11); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_11); __pyx_t_11 = NULL;
        }
        __Pyx_GIVEREF(__pyx_t_5);
        PyTuple_SET_ITEM(__pyx_t_4, 0+__pyx_t_10, __pyx_t_5);
        __Pyx_GIVEREF(__pyx_t_6);
        PyTuple_SET_ITEM(__pyx_t_4, 1+__pyx_t_10, __pyx_t_6);
        __pyx_t_5 = 0;
        __pyx_t_6 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_4, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 122, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      }
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

      /* "gnocis/models.pyx":123
 * 		while True:
 * 			pool.map( setPoolProcessModel, [ mdl for _ in range(len(pool._pool)) ] )
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )             # <<<<<<<<<<<<<<
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if hasModel )
 * 			if len(pIDs) == len(pool._pool):
 */
      __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_map); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 123, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_getPoolProcessHasModel); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 123, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      { /* enter inner scope */
        __pyx_t_6 = PyList_New(0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 123, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_6);
        __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 123, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_5);
        __pyx_t_8 = PyObject_Length(__pyx_t_5); if (unlikely(__pyx_t_8 == ((Py_ssize_t)-1))) __PYX_ERR(0, 123, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
        __pyx_t_7 = __pyx_t_8;
        for (__pyx_t_9 = 0; __pyx_t_9 < __pyx_t_7; __pyx_t_9+=1) {
          __pyx_9genexpr12__pyx_v__ = __pyx_t_9;
          if (unlikely(__Pyx_ListComp_Append(__pyx_t_6, (PyObject*)__pyx_empty_tuple))) __PYX_ERR(0, 123, __pyx_L1_error)
        }
      } /* exit inner scope */
      __pyx_t_5 = NULL;
      __pyx_t_10 = 0;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
        __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_3);
        if (likely(__pyx_t_5)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
          __Pyx_INCREF(__pyx_t_5);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_3, function);
          __pyx_t_10 = 1;
        }
      }
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_3)) {
        PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_4, __pyx_t_6};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 123, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
        PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_4, __pyx_t_6};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_10, 2+__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 123, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      {
        __pyx_t_11 = PyTuple_New(2+__pyx_t_10); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 123, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_11);
        if (__pyx_t_5) {
          __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_5); __pyx_t_5 = NULL;
        }
        __Pyx_GIVEREF(__pyx_t_4);
        PyTuple_SET_ITEM(__pyx_t_11, 0+__pyx_t_10, __pyx_t_4);
        __Pyx_GIVEREF(__pyx_t_6);
        PyTuple_SET_ITEM(__pyx_t_11, 1+__pyx_t_10, __pyx_t_6);
        __pyx_t_4 = 0;
        __pyx_t_6 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_11, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 123, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      }
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_r);
      __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_r, __pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_1);
      __pyx_t_1 = 0;

      /* "gnocis/models.pyx":124
 * 			pool.map( setPoolProcessModel, [ mdl for _ in range(len(pool._pool)) ] )
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if hasModel )             # <<<<<<<<<<<<<<
 * 			if len(pIDs) == len(pool._pool):
 * 				break
 */
      __pyx_t_1 = __pyx_pf_6gnocis_6models_12setPoolModel_3genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 124, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_3 = __Pyx_Generator_Next(__pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 124, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_1 = PyNumber_Or(__pyx_v_pIDs, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 124, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_DECREF_SET(__pyx_v_pIDs, ((PyObject*)__pyx_t_1));
      __pyx_t_1 = 0;

      /* "gnocis/models.pyx":125
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if hasModel )
 * 			if len(pIDs) == len(pool._pool):             # <<<<<<<<<<<<<<
 * 				break
 * 
 */
      __pyx_t_8 = PySet_GET_SIZE(__pyx_v_pIDs); if (unlikely(__pyx_t_8 == ((Py_ssize_t)-1))) __PYX_ERR(0, 125, __pyx_L1_error)
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_pool, __pyx_n_s_pool); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 125, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_7 = PyObject_Length(__pyx_t_1); if (unlikely(__pyx_t_7 == ((Py_ssize_t)-1))) __PYX_ERR(0, 125, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_2 = ((__pyx_t_8 == __pyx_t_7) != 0);
      if (__pyx_t_2) {

        /* "gnocis/models.pyx":126
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if hasModel )
 * 			if len(pIDs) == len(pool._pool):
 * 				break             # <<<<<<<<<<<<<<
 * 
 * def setNCores(n):
 */
        goto __pyx_L13_break;

        /* "gnocis/models.pyx":125
 * 			r = pool.map( getPoolProcessHasModel, [ () for _ in range(len(pool._pool)) ] )
 * 			pIDs = pIDs | set( pid for pid, hasModel in r if hasModel )
 * 			if len(pIDs) == len(pool._pool):             # <<<<<<<<<<<<<<
 * 				break
 * 
 */
      }
    }
    __pyx_L13_break:;

    /* "gnocis/models.pyx":116
 * 			if len(pIDs) == len(pool._pool):
 * 				break
 * 	if mdl != None:             # <<<<<<<<<<<<<<
 * 		# For non-None model, first purge the original model
 * 		setPoolModel(pool, None)
 */
  }

  /* "gnocis/models.pyx":104
 * 	return (processID, model != None)
 * 
 * def setPoolModel(pool, mdl):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	if mdl == None:
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_11);
  __Pyx_AddTraceback("gnocis.models.setPoolModel", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_pIDs);
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":128
 * 				break
 * 
 * def setNCores(n):             # <<<<<<<<<<<<<<
 * 	"""
 * 	Sets the number of cores to use for multiprocessing.
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_23setNCores(PyObject *__pyx_self, PyObject *__pyx_v_n); /*proto*/
static char __pyx_doc_6gnocis_6models_22setNCores[] = "\n\tSets the number of cores to use for multiprocessing.\n\t\n\t:param n: The number of cores to use.\n\t\n\t:type n: int\n\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_23setNCores = {"setNCores", (PyCFunction)__pyx_pw_6gnocis_6models_23setNCores, METH_O, __pyx_doc_6gnocis_6models_22setNCores};
static PyObject *__pyx_pw_6gnocis_6models_23setNCores(PyObject *__pyx_self, PyObject *__pyx_v_n) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("setNCores (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_22setNCores(__pyx_self, ((PyObject *)__pyx_v_n));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_22setNCores(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_n) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  int __pyx_t_3;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  __Pyx_RefNannySetupContext("setNCores", 0);

  /* "gnocis/models.pyx":137
 * 	"""
 * 	global nCoresUse, multiprocessingPool
 * 	nCoresUse = n             # <<<<<<<<<<<<<<
 * 	if multiprocessingPool != None:
 * 		multiprocessingPool.close()
 */
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_nCoresUse, __pyx_v_n) < 0) __PYX_ERR(0, 137, __pyx_L1_error)

  /* "gnocis/models.pyx":138
 * 	global nCoresUse, multiprocessingPool
 * 	nCoresUse = n
 * 	if multiprocessingPool != None:             # <<<<<<<<<<<<<<
 * 		multiprocessingPool.close()
 * 		del multiprocessingPool
 */
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_multiprocessingPool); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 138, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyObject_RichCompare(__pyx_t_1, Py_None, Py_NE); __Pyx_XGOTREF(__pyx_t_2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 138, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 138, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__pyx_t_3) {

    /* "gnocis/models.pyx":139
 * 	nCoresUse = n
 * 	if multiprocessingPool != None:
 * 		multiprocessingPool.close()             # <<<<<<<<<<<<<<
 * 		del multiprocessingPool
 * 		multiprocessingPool = None
 */
    __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_multiprocessingPool); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 139, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_close); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 139, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_1)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_1);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    __pyx_t_2 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_4);
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 139, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "gnocis/models.pyx":140
 * 	if multiprocessingPool != None:
 * 		multiprocessingPool.close()
 * 		del multiprocessingPool             # <<<<<<<<<<<<<<
 * 		multiprocessingPool = None
 * 	if n > 1:
 */
    if (__Pyx_PyObject_DelAttrStr(__pyx_m, __pyx_n_s_multiprocessingPool) < 0) __PYX_ERR(0, 140, __pyx_L1_error)

    /* "gnocis/models.pyx":141
 * 		multiprocessingPool.close()
 * 		del multiprocessingPool
 * 		multiprocessingPool = None             # <<<<<<<<<<<<<<
 * 	if n > 1:
 * 		multiprocessingPool = mp.Pool(nCoresUse, initializer = initializePoolProcess, initargs = ('',))
 */
    if (PyDict_SetItem(__pyx_d, __pyx_n_s_multiprocessingPool, Py_None) < 0) __PYX_ERR(0, 141, __pyx_L1_error)

    /* "gnocis/models.pyx":138
 * 	global nCoresUse, multiprocessingPool
 * 	nCoresUse = n
 * 	if multiprocessingPool != None:             # <<<<<<<<<<<<<<
 * 		multiprocessingPool.close()
 * 		del multiprocessingPool
 */
  }

  /* "gnocis/models.pyx":142
 * 		del multiprocessingPool
 * 		multiprocessingPool = None
 * 	if n > 1:             # <<<<<<<<<<<<<<
 * 		multiprocessingPool = mp.Pool(nCoresUse, initializer = initializePoolProcess, initargs = ('',))
 * 		initializePoolProcessIDs(multiprocessingPool)
 */
  __pyx_t_2 = PyObject_RichCompare(__pyx_v_n, __pyx_int_1, Py_GT); __Pyx_XGOTREF(__pyx_t_2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 142, __pyx_L1_error)
  __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 142, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__pyx_t_3) {

    /* "gnocis/models.pyx":143
 * 		multiprocessingPool = None
 * 	if n > 1:
 * 		multiprocessingPool = mp.Pool(nCoresUse, initializer = initializePoolProcess, initargs = ('',))             # <<<<<<<<<<<<<<
 * 		initializePoolProcessIDs(multiprocessingPool)
 * 
 */
    __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_mp); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 143, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_Pool); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 143, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_nCoresUse); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 143, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 143, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_GIVEREF(__pyx_t_2);
    PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2);
    __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 143, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_initializePoolProcess); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 143, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_initializer, __pyx_t_5) < 0) __PYX_ERR(0, 143, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_initargs, __pyx_tuple__3) < 0) __PYX_ERR(0, 143, __pyx_L1_error)
    __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 143, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (PyDict_SetItem(__pyx_d, __pyx_n_s_multiprocessingPool, __pyx_t_5) < 0) __PYX_ERR(0, 143, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "gnocis/models.pyx":144
 * 	if n > 1:
 * 		multiprocessingPool = mp.Pool(nCoresUse, initializer = initializePoolProcess, initargs = ('',))
 * 		initializePoolProcessIDs(multiprocessingPool)             # <<<<<<<<<<<<<<
 * 
 * 
 */
    __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_initializePoolProcessIDs); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 144, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_multiprocessingPool); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 144, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
      __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
      if (likely(__pyx_t_4)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
        __Pyx_INCREF(__pyx_t_4);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_2, function);
      }
    }
    __pyx_t_5 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_4, __pyx_t_1) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_1);
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 144, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "gnocis/models.pyx":142
 * 		del multiprocessingPool
 * 		multiprocessingPool = None
 * 	if n > 1:             # <<<<<<<<<<<<<<
 * 		multiprocessingPool = mp.Pool(nCoresUse, initializer = initializePoolProcess, initargs = ('',))
 * 		initializePoolProcessIDs(multiprocessingPool)
 */
  }

  /* "gnocis/models.pyx":128
 * 				break
 * 
 * def setNCores(n):             # <<<<<<<<<<<<<<
 * 	"""
 * 	Sets the number of cores to use for multiprocessing.
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_AddTraceback("gnocis.models.setNCores", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":159
 * 
 * 	# For pickling (used with multiprocessing)
 * 	def __getstate__(self):             # <<<<<<<<<<<<<<
 * 		return self.__dict__
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_1__getstate__(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_1__getstate__ = {"__getstate__", (PyCFunction)__pyx_pw_6gnocis_6models_13sequenceModel_1__getstate__, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_1__getstate__(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__getstate__ (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel___getstate__(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel___getstate__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("__getstate__", 0);

  /* "gnocis/models.pyx":160
 * 	# For pickling (used with multiprocessing)
 * 	def __getstate__(self):
 * 		return self.__dict__             # <<<<<<<<<<<<<<
 * 
 * 	def __setstate__(self, state):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_dict); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 160, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":159
 * 
 * 	# For pickling (used with multiprocessing)
 * 	def __getstate__(self):             # <<<<<<<<<<<<<<
 * 		return self.__dict__
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.__getstate__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":162
 * 		return self.__dict__
 * 
 * 	def __setstate__(self, state):             # <<<<<<<<<<<<<<
 * 		self.__dict__ = state
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_3__setstate__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_3__setstate__ = {"__setstate__", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_3__setstate__, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_3__setstate__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_state = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__setstate__ (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_state,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_state)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__setstate__", 1, 2, 2, 1); __PYX_ERR(0, 162, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__setstate__") < 0)) __PYX_ERR(0, 162, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_state = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("__setstate__", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 162, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.__setstate__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_2__setstate__(__pyx_self, __pyx_v_self, __pyx_v_state);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_2__setstate__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_state) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__setstate__", 0);

  /* "gnocis/models.pyx":163
 * 
 * 	def __setstate__(self, state):
 * 		self.__dict__ = state             # <<<<<<<<<<<<<<
 * 
 * 	# Gets a list of scores for a sequence list or stream. A stream is recommended when the sequence list is large, in order to avoid running out of memory.
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_dict, __pyx_v_state) < 0) __PYX_ERR(0, 163, __pyx_L1_error)

  /* "gnocis/models.pyx":162
 * 		return self.__dict__
 * 
 * 	def __setstate__(self, state):             # <<<<<<<<<<<<<<
 * 		self.__dict__ = state
 * 
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.__setstate__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":166
 * 
 * 	# Gets a list of scores for a sequence list or stream. A stream is recommended when the sequence list is large, in order to avoid running out of memory.
 * 	def getSequenceScores(self, seqs):             # <<<<<<<<<<<<<<
 * 		""" Scores a set of sequences, returning the maximum window score for each.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_5getSequenceScores(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_4getSequenceScores[] = " Scores a set of sequences, returning the maximum window score for each.\n\t\t\n\t\t:param seqs: Sequences to score.\n\t\t\n\t\t:type seqs: sequences/sequenceStream\n\t\t\n\t\t:return: List of the maximum window score per sequence\n\t\t:rtype: list\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_5getSequenceScores = {"getSequenceScores", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_5getSequenceScores, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_4getSequenceScores};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_5getSequenceScores(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_seqs = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getSequenceScores (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_seqs,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_seqs)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getSequenceScores", 1, 2, 2, 1); __PYX_ERR(0, 166, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getSequenceScores") < 0)) __PYX_ERR(0, 166, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_seqs = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getSequenceScores", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 166, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getSequenceScores", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_4getSequenceScores(__pyx_self, __pyx_v_self, __pyx_v_seqs);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_4getSequenceScores(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_seqs) {
  struct __pyx_obj_6gnocis_9sequences_sequences *__pyx_9genexpr14__pyx_v_blk = NULL;
  PyObject *__pyx_9genexpr14__pyx_v_blkScores = NULL;
  float __pyx_9genexpr14__pyx_v_score;
  PyObject *__pyx_9genexpr15__pyx_v_blkScores = NULL;
  float __pyx_9genexpr15__pyx_v_score;
  struct __pyx_obj_6gnocis_9sequences_sequences *__pyx_9genexpr16__pyx_v_blk = NULL;
  struct __pyx_obj_6gnocis_9sequences_sequence *__pyx_9genexpr16__pyx_v_cseq = NULL;
  struct __pyx_obj_6gnocis_9sequences_sequence *__pyx_9genexpr17__pyx_v_cseq = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  int __pyx_t_3;
  PyObject *__pyx_t_4 = NULL;
  int __pyx_t_5;
  PyObject *__pyx_t_6 = NULL;
  int __pyx_t_7;
  PyObject *__pyx_t_8 = NULL;
  PyObject *__pyx_t_9 = NULL;
  PyObject *__pyx_t_10 = NULL;
  Py_ssize_t __pyx_t_11;
  PyObject *(*__pyx_t_12)(PyObject *);
  PyObject *__pyx_t_13 = NULL;
  PyObject *__pyx_t_14 = NULL;
  Py_ssize_t __pyx_t_15;
  PyObject *(*__pyx_t_16)(PyObject *);
  Py_ssize_t __pyx_t_17;
  float __pyx_t_18;
  int __pyx_t_19;
  __Pyx_RefNannySetupContext("getSequenceScores", 0);

  /* "gnocis/models.pyx":180
 * 		cdef sequences blk
 * 		cdef sequence cseq
 * 		if nCoresUse > 1:             # <<<<<<<<<<<<<<
 * 			# Wipe the first model, to ensure we have a clean slate
 * 			if not 'modelID' in self.__dict__.keys():
 */
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_nCoresUse); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 180, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyObject_RichCompare(__pyx_t_1, __pyx_int_1, Py_GT); __Pyx_XGOTREF(__pyx_t_2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 180, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 180, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__pyx_t_3) {

    /* "gnocis/models.pyx":182
 * 		if nCoresUse > 1:
 * 			# Wipe the first model, to ensure we have a clean slate
 * 			if not 'modelID' in self.__dict__.keys():             # <<<<<<<<<<<<<<
 * 				global maxModelID
 * 				self.modelID = maxModelID
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_dict); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 182, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_keys); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 182, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_1)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_1);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    __pyx_t_2 = (__pyx_t_1) ? __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_1) : __Pyx_PyObject_CallNoArg(__pyx_t_4);
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 182, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_3 = (__Pyx_PySequence_ContainsTF(__pyx_n_u_modelID, __pyx_t_2, Py_NE)); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 182, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_5 = (__pyx_t_3 != 0);
    if (__pyx_t_5) {

      /* "gnocis/models.pyx":184
 * 			if not 'modelID' in self.__dict__.keys():
 * 				global maxModelID
 * 				self.modelID = maxModelID             # <<<<<<<<<<<<<<
 * 				maxModelID += 1
 * 			setPoolModel(multiprocessingPool, self)
 */
      __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_maxModelID); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 184, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_modelID, __pyx_t_2) < 0) __PYX_ERR(0, 184, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

      /* "gnocis/models.pyx":185
 * 				global maxModelID
 * 				self.modelID = maxModelID
 * 				maxModelID += 1             # <<<<<<<<<<<<<<
 * 			setPoolModel(multiprocessingPool, self)
 * 			# Process in parallel
 */
      __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_maxModelID); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 185, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __pyx_t_4 = __Pyx_PyInt_AddObjC(__pyx_t_2, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 185, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      if (PyDict_SetItem(__pyx_d, __pyx_n_s_maxModelID, __pyx_t_4) < 0) __PYX_ERR(0, 185, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

      /* "gnocis/models.pyx":182
 * 		if nCoresUse > 1:
 * 			# Wipe the first model, to ensure we have a clean slate
 * 			if not 'modelID' in self.__dict__.keys():             # <<<<<<<<<<<<<<
 * 				global maxModelID
 * 				self.modelID = maxModelID
 */
    }

    /* "gnocis/models.pyx":186
 * 				self.modelID = maxModelID
 * 				maxModelID += 1
 * 			setPoolModel(multiprocessingPool, self)             # <<<<<<<<<<<<<<
 * 			# Process in parallel
 * 			if isinstance(seqs, sequenceStream):
 */
    __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_setPoolModel); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 186, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_multiprocessingPool); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 186, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_6 = NULL;
    __pyx_t_7 = 0;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_2, function);
        __pyx_t_7 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_t_1, __pyx_v_self};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 186, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_t_1, __pyx_v_self};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 186, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    {
      __pyx_t_8 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 186, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      if (__pyx_t_6) {
        __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_6); __pyx_t_6 = NULL;
      }
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_7, __pyx_t_1);
      __Pyx_INCREF(__pyx_v_self);
      __Pyx_GIVEREF(__pyx_v_self);
      PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_7, __pyx_v_self);
      __pyx_t_1 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_8, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 186, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "gnocis/models.pyx":188
 * 			setPoolModel(multiprocessingPool, self)
 * 			# Process in parallel
 * 			if isinstance(seqs, sequenceStream):             # <<<<<<<<<<<<<<
 * 				return [
 * 					score
 */
    __pyx_t_5 = __Pyx_TypeCheck(__pyx_v_seqs, __pyx_ptype_6gnocis_9sequences_sequenceStream); 
    __pyx_t_3 = (__pyx_t_5 != 0);
    if (__pyx_t_3) {

      /* "gnocis/models.pyx":189
 * 			# Process in parallel
 * 			if isinstance(seqs, sequenceStream):
 * 				return [             # <<<<<<<<<<<<<<
 * 					score
 * 					for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)
 */
      __Pyx_XDECREF(__pyx_r);
      { /* enter inner scope */
        __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 189, __pyx_L8_error)
        __Pyx_GOTREF(__pyx_t_4);

        /* "gnocis/models.pyx":191
 * 				return [
 * 					score
 * 					for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)             # <<<<<<<<<<<<<<
 * 					for blkScores in multiprocessingPool.map(
 * 						multiprocessModelDeployer,
 */
        __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_seqs, __pyx_n_s_fetch); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 191, __pyx_L8_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_nTreadFetch); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 191, __pyx_L8_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_GetModuleGlobalName(__pyx_t_6, __pyx_n_s_maxThreadFetchNT); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 191, __pyx_L8_error)
        __Pyx_GOTREF(__pyx_t_6);
        __pyx_t_9 = NULL;
        __pyx_t_7 = 0;
        if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
          __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8);
          if (likely(__pyx_t_9)) {
            PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
            __Pyx_INCREF(__pyx_t_9);
            __Pyx_INCREF(function);
            __Pyx_DECREF_SET(__pyx_t_8, function);
            __pyx_t_7 = 1;
          }
        }
        #if CYTHON_FAST_PYCALL
        if (PyFunction_Check(__pyx_t_8)) {
          PyObject *__pyx_temp[3] = {__pyx_t_9, __pyx_t_1, __pyx_t_6};
          __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 191, __pyx_L8_error)
          __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
          __Pyx_GOTREF(__pyx_t_2);
          __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
        } else
        #endif
        #if CYTHON_FAST_PYCCALL
        if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
          PyObject *__pyx_temp[3] = {__pyx_t_9, __pyx_t_1, __pyx_t_6};
          __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 191, __pyx_L8_error)
          __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
          __Pyx_GOTREF(__pyx_t_2);
          __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
        } else
        #endif
        {
          __pyx_t_10 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 191, __pyx_L8_error)
          __Pyx_GOTREF(__pyx_t_10);
          if (__pyx_t_9) {
            __Pyx_GIVEREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_9); __pyx_t_9 = NULL;
          }
          __Pyx_GIVEREF(__pyx_t_1);
          PyTuple_SET_ITEM(__pyx_t_10, 0+__pyx_t_7, __pyx_t_1);
          __Pyx_GIVEREF(__pyx_t_6);
          PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_7, __pyx_t_6);
          __pyx_t_1 = 0;
          __pyx_t_6 = 0;
          __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_10, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 191, __pyx_L8_error)
          __Pyx_GOTREF(__pyx_t_2);
          __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
        }
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) {
          __pyx_t_8 = __pyx_t_2; __Pyx_INCREF(__pyx_t_8); __pyx_t_11 = 0;
          __pyx_t_12 = NULL;
        } else {
          __pyx_t_11 = -1; __pyx_t_8 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 191, __pyx_L8_error)
          __Pyx_GOTREF(__pyx_t_8);
          __pyx_t_12 = Py_TYPE(__pyx_t_8)->tp_iternext; if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 191, __pyx_L8_error)
        }
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
        for (;;) {
          if (likely(!__pyx_t_12)) {
            if (likely(PyList_CheckExact(__pyx_t_8))) {
              if (__pyx_t_11 >= PyList_GET_SIZE(__pyx_t_8)) break;
              #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
              __pyx_t_2 = PyList_GET_ITEM(__pyx_t_8, __pyx_t_11); __Pyx_INCREF(__pyx_t_2); __pyx_t_11++; if (unlikely(0 < 0)) __PYX_ERR(0, 191, __pyx_L8_error)
              #else
              __pyx_t_2 = PySequence_ITEM(__pyx_t_8, __pyx_t_11); __pyx_t_11++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 191, __pyx_L8_error)
              __Pyx_GOTREF(__pyx_t_2);
              #endif
            } else {
              if (__pyx_t_11 >= PyTuple_GET_SIZE(__pyx_t_8)) break;
              #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
              __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_8, __pyx_t_11); __Pyx_INCREF(__pyx_t_2); __pyx_t_11++; if (unlikely(0 < 0)) __PYX_ERR(0, 191, __pyx_L8_error)
              #else
              __pyx_t_2 = PySequence_ITEM(__pyx_t_8, __pyx_t_11); __pyx_t_11++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 191, __pyx_L8_error)
              __Pyx_GOTREF(__pyx_t_2);
              #endif
            }
          } else {
            __pyx_t_2 = __pyx_t_12(__pyx_t_8);
            if (unlikely(!__pyx_t_2)) {
              PyObject* exc_type = PyErr_Occurred();
              if (exc_type) {
                if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
                else __PYX_ERR(0, 191, __pyx_L8_error)
              }
              break;
            }
            __Pyx_GOTREF(__pyx_t_2);
          }
          if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_6gnocis_9sequences_sequences))))) __PYX_ERR(0, 191, __pyx_L8_error)
          __Pyx_XDECREF_SET(__pyx_9genexpr14__pyx_v_blk, ((struct __pyx_obj_6gnocis_9sequences_sequences *)__pyx_t_2));
          __pyx_t_2 = 0;

          /* "gnocis/models.pyx":192
 * 					score
 * 					for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)
 * 					for blkScores in multiprocessingPool.map(             # <<<<<<<<<<<<<<
 * 						multiprocessModelDeployer,
 * 						blk.split(nCoresUse)
 */
          __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_multiprocessingPool); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 192, __pyx_L8_error)
          __Pyx_GOTREF(__pyx_t_10);
          __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_map); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 192, __pyx_L8_error)
          __Pyx_GOTREF(__pyx_t_6);
          __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;

          /* "gnocis/models.pyx":193
 * 					for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)
 * 					for blkScores in multiprocessingPool.map(
 * 						multiprocessModelDeployer,             # <<<<<<<<<<<<<<
 * 						blk.split(nCoresUse)
 * 					)
 */
          __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_multiprocessModelDeployer); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 193, __pyx_L8_error)
          __Pyx_GOTREF(__pyx_t_10);

          /* "gnocis/models.pyx":194
 * 					for blkScores in multiprocessingPool.map(
 * 						multiprocessModelDeployer,
 * 						blk.split(nCoresUse)             # <<<<<<<<<<<<<<
 * 					)
 * 					for score in blkScores
 */
          __pyx_t_9 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_9genexpr14__pyx_v_blk), __pyx_n_s_split); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 194, __pyx_L8_error)
          __Pyx_GOTREF(__pyx_t_9);
          __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_nCoresUse); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 194, __pyx_L8_error)
          __Pyx_GOTREF(__pyx_t_13);
          __pyx_t_14 = NULL;
          if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
            __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_9);
            if (likely(__pyx_t_14)) {
              PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
              __Pyx_INCREF(__pyx_t_14);
              __Pyx_INCREF(function);
              __Pyx_DECREF_SET(__pyx_t_9, function);
            }
          }
          __pyx_t_1 = (__pyx_t_14) ? __Pyx_PyObject_Call2Args(__pyx_t_9, __pyx_t_14, __pyx_t_13) : __Pyx_PyObject_CallOneArg(__pyx_t_9, __pyx_t_13);
          __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
          __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
          if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 194, __pyx_L8_error)
          __Pyx_GOTREF(__pyx_t_1);
          __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
          __pyx_t_9 = NULL;
          __pyx_t_7 = 0;
          if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_6))) {
            __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_6);
            if (likely(__pyx_t_9)) {
              PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
              __Pyx_INCREF(__pyx_t_9);
              __Pyx_INCREF(function);
              __Pyx_DECREF_SET(__pyx_t_6, function);
              __pyx_t_7 = 1;
            }
          }
          #if CYTHON_FAST_PYCALL
          if (PyFunction_Check(__pyx_t_6)) {
            PyObject *__pyx_temp[3] = {__pyx_t_9, __pyx_t_10, __pyx_t_1};
            __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 192, __pyx_L8_error)
            __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
            __Pyx_GOTREF(__pyx_t_2);
            __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
            __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          } else
          #endif
          #if CYTHON_FAST_PYCCALL
          if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
            PyObject *__pyx_temp[3] = {__pyx_t_9, __pyx_t_10, __pyx_t_1};
            __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 192, __pyx_L8_error)
            __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
            __Pyx_GOTREF(__pyx_t_2);
            __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
            __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          } else
          #endif
          {
            __pyx_t_13 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 192, __pyx_L8_error)
            __Pyx_GOTREF(__pyx_t_13);
            if (__pyx_t_9) {
              __Pyx_GIVEREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_9); __pyx_t_9 = NULL;
            }
            __Pyx_GIVEREF(__pyx_t_10);
            PyTuple_SET_ITEM(__pyx_t_13, 0+__pyx_t_7, __pyx_t_10);
            __Pyx_GIVEREF(__pyx_t_1);
            PyTuple_SET_ITEM(__pyx_t_13, 1+__pyx_t_7, __pyx_t_1);
            __pyx_t_10 = 0;
            __pyx_t_1 = 0;
            __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_13, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 192, __pyx_L8_error)
            __Pyx_GOTREF(__pyx_t_2);
            __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
          }
          __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

          /* "gnocis/models.pyx":192
 * 					score
 * 					for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)
 * 					for blkScores in multiprocessingPool.map(             # <<<<<<<<<<<<<<
 * 						multiprocessModelDeployer,
 * 						blk.split(nCoresUse)
 */
          if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) {
            __pyx_t_6 = __pyx_t_2; __Pyx_INCREF(__pyx_t_6); __pyx_t_15 = 0;
            __pyx_t_16 = NULL;
          } else {
            __pyx_t_15 = -1; __pyx_t_6 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 192, __pyx_L8_error)
            __Pyx_GOTREF(__pyx_t_6);
            __pyx_t_16 = Py_TYPE(__pyx_t_6)->tp_iternext; if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 192, __pyx_L8_error)
          }
          __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
          for (;;) {
            if (likely(!__pyx_t_16)) {
              if (likely(PyList_CheckExact(__pyx_t_6))) {
                if (__pyx_t_15 >= PyList_GET_SIZE(__pyx_t_6)) break;
                #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
                __pyx_t_2 = PyList_GET_ITEM(__pyx_t_6, __pyx_t_15); __Pyx_INCREF(__pyx_t_2); __pyx_t_15++; if (unlikely(0 < 0)) __PYX_ERR(0, 192, __pyx_L8_error)
                #else
                __pyx_t_2 = PySequence_ITEM(__pyx_t_6, __pyx_t_15); __pyx_t_15++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 192, __pyx_L8_error)
                __Pyx_GOTREF(__pyx_t_2);
                #endif
              } else {
                if (__pyx_t_15 >= PyTuple_GET_SIZE(__pyx_t_6)) break;
                #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
                __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_6, __pyx_t_15); __Pyx_INCREF(__pyx_t_2); __pyx_t_15++; if (unlikely(0 < 0)) __PYX_ERR(0, 192, __pyx_L8_error)
                #else
                __pyx_t_2 = PySequence_ITEM(__pyx_t_6, __pyx_t_15); __pyx_t_15++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 192, __pyx_L8_error)
                __Pyx_GOTREF(__pyx_t_2);
                #endif
              }
            } else {
              __pyx_t_2 = __pyx_t_16(__pyx_t_6);
              if (unlikely(!__pyx_t_2)) {
                PyObject* exc_type = PyErr_Occurred();
                if (exc_type) {
                  if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
                  else __PYX_ERR(0, 192, __pyx_L8_error)
                }
                break;
              }
              __Pyx_GOTREF(__pyx_t_2);
            }
            if (!(likely(PyList_CheckExact(__pyx_t_2))||((__pyx_t_2) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_2)->tp_name), 0))) __PYX_ERR(0, 192, __pyx_L8_error)
            __Pyx_XDECREF_SET(__pyx_9genexpr14__pyx_v_blkScores, ((PyObject*)__pyx_t_2));
            __pyx_t_2 = 0;

            /* "gnocis/models.pyx":196
 * 						blk.split(nCoresUse)
 * 					)
 * 					for score in blkScores             # <<<<<<<<<<<<<<
 * 				]
 * 			elif isinstance(seqs, sequences) or isinstance(seqs, list):
 */
            if (unlikely(__pyx_9genexpr14__pyx_v_blkScores == Py_None)) {
              PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
              __PYX_ERR(0, 196, __pyx_L8_error)
            }
            __pyx_t_2 = __pyx_9genexpr14__pyx_v_blkScores; __Pyx_INCREF(__pyx_t_2); __pyx_t_17 = 0;
            for (;;) {
              if (__pyx_t_17 >= PyList_GET_SIZE(__pyx_t_2)) break;
              #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
              __pyx_t_13 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_17); __Pyx_INCREF(__pyx_t_13); __pyx_t_17++; if (unlikely(0 < 0)) __PYX_ERR(0, 196, __pyx_L8_error)
              #else
              __pyx_t_13 = PySequence_ITEM(__pyx_t_2, __pyx_t_17); __pyx_t_17++; if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 196, __pyx_L8_error)
              __Pyx_GOTREF(__pyx_t_13);
              #endif
              __pyx_t_18 = __pyx_PyFloat_AsFloat(__pyx_t_13); if (unlikely((__pyx_t_18 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 196, __pyx_L8_error)
              __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
              __pyx_9genexpr14__pyx_v_score = __pyx_t_18;

              /* "gnocis/models.pyx":190
 * 			if isinstance(seqs, sequenceStream):
 * 				return [
 * 					score             # <<<<<<<<<<<<<<
 * 					for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)
 * 					for blkScores in multiprocessingPool.map(
 */
              __pyx_t_13 = PyFloat_FromDouble(__pyx_9genexpr14__pyx_v_score); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 190, __pyx_L8_error)
              __Pyx_GOTREF(__pyx_t_13);
              if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_t_13))) __PYX_ERR(0, 189, __pyx_L8_error)
              __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;

              /* "gnocis/models.pyx":196
 * 						blk.split(nCoresUse)
 * 					)
 * 					for score in blkScores             # <<<<<<<<<<<<<<
 * 				]
 * 			elif isinstance(seqs, sequences) or isinstance(seqs, list):
 */
            }
            __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

            /* "gnocis/models.pyx":192
 * 					score
 * 					for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)
 * 					for blkScores in multiprocessingPool.map(             # <<<<<<<<<<<<<<
 * 						multiprocessModelDeployer,
 * 						blk.split(nCoresUse)
 */
          }
          __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

          /* "gnocis/models.pyx":191
 * 				return [
 * 					score
 * 					for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)             # <<<<<<<<<<<<<<
 * 					for blkScores in multiprocessingPool.map(
 * 						multiprocessModelDeployer,
 */
        }
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __Pyx_XDECREF((PyObject *)__pyx_9genexpr14__pyx_v_blk); __pyx_9genexpr14__pyx_v_blk = 0;
        __Pyx_XDECREF(__pyx_9genexpr14__pyx_v_blkScores); __pyx_9genexpr14__pyx_v_blkScores = 0;
        goto __pyx_L15_exit_scope;
        __pyx_L8_error:;
        __Pyx_XDECREF((PyObject *)__pyx_9genexpr14__pyx_v_blk); __pyx_9genexpr14__pyx_v_blk = 0;
        __Pyx_XDECREF(__pyx_9genexpr14__pyx_v_blkScores); __pyx_9genexpr14__pyx_v_blkScores = 0;
        goto __pyx_L1_error;
        __pyx_L15_exit_scope:;
      } /* exit inner scope */
      __pyx_r = __pyx_t_4;
      __pyx_t_4 = 0;
      goto __pyx_L0;

      /* "gnocis/models.pyx":188
 * 			setPoolModel(multiprocessingPool, self)
 * 			# Process in parallel
 * 			if isinstance(seqs, sequenceStream):             # <<<<<<<<<<<<<<
 * 				return [
 * 					score
 */
    }

    /* "gnocis/models.pyx":198
 * 					for score in blkScores
 * 				]
 * 			elif isinstance(seqs, sequences) or isinstance(seqs, list):             # <<<<<<<<<<<<<<
 * 				return [
 * 					score
 */
    __pyx_t_5 = __Pyx_TypeCheck(__pyx_v_seqs, __pyx_ptype_6gnocis_9sequences_sequences); 
    __pyx_t_19 = (__pyx_t_5 != 0);
    if (!__pyx_t_19) {
    } else {
      __pyx_t_3 = __pyx_t_19;
      goto __pyx_L16_bool_binop_done;
    }
    __pyx_t_19 = PyList_Check(__pyx_v_seqs); 
    __pyx_t_5 = (__pyx_t_19 != 0);
    __pyx_t_3 = __pyx_t_5;
    __pyx_L16_bool_binop_done:;
    if (__pyx_t_3) {

      /* "gnocis/models.pyx":199
 * 				]
 * 			elif isinstance(seqs, sequences) or isinstance(seqs, list):
 * 				return [             # <<<<<<<<<<<<<<
 * 					score
 * 					for blkScores in multiprocessingPool.map(
 */
      __Pyx_XDECREF(__pyx_r);
      { /* enter inner scope */
        __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 199, __pyx_L20_error)
        __Pyx_GOTREF(__pyx_t_4);

        /* "gnocis/models.pyx":201
 * 				return [
 * 					score
 * 					for blkScores in multiprocessingPool.map(             # <<<<<<<<<<<<<<
 * 						multiprocessModelDeployer,
 * 						seqs.split(nCoresUse)
 */
        __Pyx_GetModuleGlobalName(__pyx_t_6, __pyx_n_s_multiprocessingPool); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 201, __pyx_L20_error)
        __Pyx_GOTREF(__pyx_t_6);
        __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_map); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 201, __pyx_L20_error)
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

        /* "gnocis/models.pyx":202
 * 					score
 * 					for blkScores in multiprocessingPool.map(
 * 						multiprocessModelDeployer,             # <<<<<<<<<<<<<<
 * 						seqs.split(nCoresUse)
 * 					)
 */
        __Pyx_GetModuleGlobalName(__pyx_t_6, __pyx_n_s_multiprocessModelDeployer); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 202, __pyx_L20_error)
        __Pyx_GOTREF(__pyx_t_6);

        /* "gnocis/models.pyx":203
 * 					for blkScores in multiprocessingPool.map(
 * 						multiprocessModelDeployer,
 * 						seqs.split(nCoresUse)             # <<<<<<<<<<<<<<
 * 					)
 * 					for score in blkScores
 */
        __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_seqs, __pyx_n_s_split); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 203, __pyx_L20_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_nCoresUse); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 203, __pyx_L20_error)
        __Pyx_GOTREF(__pyx_t_10);
        __pyx_t_9 = NULL;
        if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) {
          __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_1);
          if (likely(__pyx_t_9)) {
            PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1);
            __Pyx_INCREF(__pyx_t_9);
            __Pyx_INCREF(function);
            __Pyx_DECREF_SET(__pyx_t_1, function);
          }
        }
        __pyx_t_13 = (__pyx_t_9) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_9, __pyx_t_10) : __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_10);
        __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
        __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
        if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 203, __pyx_L20_error)
        __Pyx_GOTREF(__pyx_t_13);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
        __pyx_t_1 = NULL;
        __pyx_t_7 = 0;
        if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
          __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_2);
          if (likely(__pyx_t_1)) {
            PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
            __Pyx_INCREF(__pyx_t_1);
            __Pyx_INCREF(function);
            __Pyx_DECREF_SET(__pyx_t_2, function);
            __pyx_t_7 = 1;
          }
        }
        #if CYTHON_FAST_PYCALL
        if (PyFunction_Check(__pyx_t_2)) {
          PyObject *__pyx_temp[3] = {__pyx_t_1, __pyx_t_6, __pyx_t_13};
          __pyx_t_8 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 201, __pyx_L20_error)
          __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
          __Pyx_GOTREF(__pyx_t_8);
          __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
        } else
        #endif
        #if CYTHON_FAST_PYCCALL
        if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
          PyObject *__pyx_temp[3] = {__pyx_t_1, __pyx_t_6, __pyx_t_13};
          __pyx_t_8 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 201, __pyx_L20_error)
          __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
          __Pyx_GOTREF(__pyx_t_8);
          __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
        } else
        #endif
        {
          __pyx_t_10 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 201, __pyx_L20_error)
          __Pyx_GOTREF(__pyx_t_10);
          if (__pyx_t_1) {
            __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_1); __pyx_t_1 = NULL;
          }
          __Pyx_GIVEREF(__pyx_t_6);
          PyTuple_SET_ITEM(__pyx_t_10, 0+__pyx_t_7, __pyx_t_6);
          __Pyx_GIVEREF(__pyx_t_13);
          PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_7, __pyx_t_13);
          __pyx_t_6 = 0;
          __pyx_t_13 = 0;
          __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_10, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 201, __pyx_L20_error)
          __Pyx_GOTREF(__pyx_t_8);
          __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
        }
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

        /* "gnocis/models.pyx":201
 * 				return [
 * 					score
 * 					for blkScores in multiprocessingPool.map(             # <<<<<<<<<<<<<<
 * 						multiprocessModelDeployer,
 * 						seqs.split(nCoresUse)
 */
        if (likely(PyList_CheckExact(__pyx_t_8)) || PyTuple_CheckExact(__pyx_t_8)) {
          __pyx_t_2 = __pyx_t_8; __Pyx_INCREF(__pyx_t_2); __pyx_t_11 = 0;
          __pyx_t_12 = NULL;
        } else {
          __pyx_t_11 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_8); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 201, __pyx_L20_error)
          __Pyx_GOTREF(__pyx_t_2);
          __pyx_t_12 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 201, __pyx_L20_error)
        }
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        for (;;) {
          if (likely(!__pyx_t_12)) {
            if (likely(PyList_CheckExact(__pyx_t_2))) {
              if (__pyx_t_11 >= PyList_GET_SIZE(__pyx_t_2)) break;
              #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
              __pyx_t_8 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_11); __Pyx_INCREF(__pyx_t_8); __pyx_t_11++; if (unlikely(0 < 0)) __PYX_ERR(0, 201, __pyx_L20_error)
              #else
              __pyx_t_8 = PySequence_ITEM(__pyx_t_2, __pyx_t_11); __pyx_t_11++; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 201, __pyx_L20_error)
              __Pyx_GOTREF(__pyx_t_8);
              #endif
            } else {
              if (__pyx_t_11 >= PyTuple_GET_SIZE(__pyx_t_2)) break;
              #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
              __pyx_t_8 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_11); __Pyx_INCREF(__pyx_t_8); __pyx_t_11++; if (unlikely(0 < 0)) __PYX_ERR(0, 201, __pyx_L20_error)
              #else
              __pyx_t_8 = PySequence_ITEM(__pyx_t_2, __pyx_t_11); __pyx_t_11++; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 201, __pyx_L20_error)
              __Pyx_GOTREF(__pyx_t_8);
              #endif
            }
          } else {
            __pyx_t_8 = __pyx_t_12(__pyx_t_2);
            if (unlikely(!__pyx_t_8)) {
              PyObject* exc_type = PyErr_Occurred();
              if (exc_type) {
                if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
                else __PYX_ERR(0, 201, __pyx_L20_error)
              }
              break;
            }
            __Pyx_GOTREF(__pyx_t_8);
          }
          if (!(likely(PyList_CheckExact(__pyx_t_8))||((__pyx_t_8) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_8)->tp_name), 0))) __PYX_ERR(0, 201, __pyx_L20_error)
          __Pyx_XDECREF_SET(__pyx_9genexpr15__pyx_v_blkScores, ((PyObject*)__pyx_t_8));
          __pyx_t_8 = 0;

          /* "gnocis/models.pyx":205
 * 						seqs.split(nCoresUse)
 * 					)
 * 					for score in blkScores             # <<<<<<<<<<<<<<
 * 				]
 * 		if isinstance(seqs, sequenceStream):
 */
          if (unlikely(__pyx_9genexpr15__pyx_v_blkScores == Py_None)) {
            PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
            __PYX_ERR(0, 205, __pyx_L20_error)
          }
          __pyx_t_8 = __pyx_9genexpr15__pyx_v_blkScores; __Pyx_INCREF(__pyx_t_8); __pyx_t_15 = 0;
          for (;;) {
            if (__pyx_t_15 >= PyList_GET_SIZE(__pyx_t_8)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_10 = PyList_GET_ITEM(__pyx_t_8, __pyx_t_15); __Pyx_INCREF(__pyx_t_10); __pyx_t_15++; if (unlikely(0 < 0)) __PYX_ERR(0, 205, __pyx_L20_error)
            #else
            __pyx_t_10 = PySequence_ITEM(__pyx_t_8, __pyx_t_15); __pyx_t_15++; if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 205, __pyx_L20_error)
            __Pyx_GOTREF(__pyx_t_10);
            #endif
            __pyx_t_18 = __pyx_PyFloat_AsFloat(__pyx_t_10); if (unlikely((__pyx_t_18 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 205, __pyx_L20_error)
            __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
            __pyx_9genexpr15__pyx_v_score = __pyx_t_18;

            /* "gnocis/models.pyx":200
 * 			elif isinstance(seqs, sequences) or isinstance(seqs, list):
 * 				return [
 * 					score             # <<<<<<<<<<<<<<
 * 					for blkScores in multiprocessingPool.map(
 * 						multiprocessModelDeployer,
 */
            __pyx_t_10 = PyFloat_FromDouble(__pyx_9genexpr15__pyx_v_score); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 200, __pyx_L20_error)
            __Pyx_GOTREF(__pyx_t_10);
            if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_t_10))) __PYX_ERR(0, 199, __pyx_L20_error)
            __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;

            /* "gnocis/models.pyx":205
 * 						seqs.split(nCoresUse)
 * 					)
 * 					for score in blkScores             # <<<<<<<<<<<<<<
 * 				]
 * 		if isinstance(seqs, sequenceStream):
 */
          }
          __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

          /* "gnocis/models.pyx":201
 * 				return [
 * 					score
 * 					for blkScores in multiprocessingPool.map(             # <<<<<<<<<<<<<<
 * 						multiprocessModelDeployer,
 * 						seqs.split(nCoresUse)
 */
        }
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_XDECREF(__pyx_9genexpr15__pyx_v_blkScores); __pyx_9genexpr15__pyx_v_blkScores = 0;
        goto __pyx_L25_exit_scope;
        __pyx_L20_error:;
        __Pyx_XDECREF(__pyx_9genexpr15__pyx_v_blkScores); __pyx_9genexpr15__pyx_v_blkScores = 0;
        goto __pyx_L1_error;
        __pyx_L25_exit_scope:;
      } /* exit inner scope */
      __pyx_r = __pyx_t_4;
      __pyx_t_4 = 0;
      goto __pyx_L0;

      /* "gnocis/models.pyx":198
 * 					for score in blkScores
 * 				]
 * 			elif isinstance(seqs, sequences) or isinstance(seqs, list):             # <<<<<<<<<<<<<<
 * 				return [
 * 					score
 */
    }

    /* "gnocis/models.pyx":180
 * 		cdef sequences blk
 * 		cdef sequence cseq
 * 		if nCoresUse > 1:             # <<<<<<<<<<<<<<
 * 			# Wipe the first model, to ensure we have a clean slate
 * 			if not 'modelID' in self.__dict__.keys():
 */
  }

  /* "gnocis/models.pyx":207
 * 					for score in blkScores
 * 				]
 * 		if isinstance(seqs, sequenceStream):             # <<<<<<<<<<<<<<
 * 			return [
 * 				self.scoreSequence(cseq)
 */
  __pyx_t_3 = __Pyx_TypeCheck(__pyx_v_seqs, __pyx_ptype_6gnocis_9sequences_sequenceStream); 
  __pyx_t_5 = (__pyx_t_3 != 0);
  if (__pyx_t_5) {

    /* "gnocis/models.pyx":208
 * 				]
 * 		if isinstance(seqs, sequenceStream):
 * 			return [             # <<<<<<<<<<<<<<
 * 				self.scoreSequence(cseq)
 * 				for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)
 */
    __Pyx_XDECREF(__pyx_r);
    { /* enter inner scope */
      __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 208, __pyx_L29_error)
      __Pyx_GOTREF(__pyx_t_4);

      /* "gnocis/models.pyx":210
 * 			return [
 * 				self.scoreSequence(cseq)
 * 				for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)             # <<<<<<<<<<<<<<
 * 				for cseq in blk
 * 			]
 */
      __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_seqs, __pyx_n_s_fetch); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 210, __pyx_L29_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_GetModuleGlobalName(__pyx_t_10, __pyx_n_s_nTreadFetch); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 210, __pyx_L29_error)
      __Pyx_GOTREF(__pyx_t_10);
      __Pyx_GetModuleGlobalName(__pyx_t_13, __pyx_n_s_maxThreadFetchNT); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 210, __pyx_L29_error)
      __Pyx_GOTREF(__pyx_t_13);
      __pyx_t_6 = NULL;
      __pyx_t_7 = 0;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
        __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_8);
        if (likely(__pyx_t_6)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
          __Pyx_INCREF(__pyx_t_6);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_8, function);
          __pyx_t_7 = 1;
        }
      }
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_8)) {
        PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_t_10, __pyx_t_13};
        __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 210, __pyx_L29_error)
        __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
        __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
        PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_t_10, __pyx_t_13};
        __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 210, __pyx_L29_error)
        __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
        __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
      } else
      #endif
      {
        __pyx_t_1 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 210, __pyx_L29_error)
        __Pyx_GOTREF(__pyx_t_1);
        if (__pyx_t_6) {
          __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_6); __pyx_t_6 = NULL;
        }
        __Pyx_GIVEREF(__pyx_t_10);
        PyTuple_SET_ITEM(__pyx_t_1, 0+__pyx_t_7, __pyx_t_10);
        __Pyx_GIVEREF(__pyx_t_13);
        PyTuple_SET_ITEM(__pyx_t_1, 1+__pyx_t_7, __pyx_t_13);
        __pyx_t_10 = 0;
        __pyx_t_13 = 0;
        __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_1, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 210, __pyx_L29_error)
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      }
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) {
        __pyx_t_8 = __pyx_t_2; __Pyx_INCREF(__pyx_t_8); __pyx_t_11 = 0;
        __pyx_t_12 = NULL;
      } else {
        __pyx_t_11 = -1; __pyx_t_8 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 210, __pyx_L29_error)
        __Pyx_GOTREF(__pyx_t_8);
        __pyx_t_12 = Py_TYPE(__pyx_t_8)->tp_iternext; if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 210, __pyx_L29_error)
      }
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      for (;;) {
        if (likely(!__pyx_t_12)) {
          if (likely(PyList_CheckExact(__pyx_t_8))) {
            if (__pyx_t_11 >= PyList_GET_SIZE(__pyx_t_8)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_2 = PyList_GET_ITEM(__pyx_t_8, __pyx_t_11); __Pyx_INCREF(__pyx_t_2); __pyx_t_11++; if (unlikely(0 < 0)) __PYX_ERR(0, 210, __pyx_L29_error)
            #else
            __pyx_t_2 = PySequence_ITEM(__pyx_t_8, __pyx_t_11); __pyx_t_11++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 210, __pyx_L29_error)
            __Pyx_GOTREF(__pyx_t_2);
            #endif
          } else {
            if (__pyx_t_11 >= PyTuple_GET_SIZE(__pyx_t_8)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_8, __pyx_t_11); __Pyx_INCREF(__pyx_t_2); __pyx_t_11++; if (unlikely(0 < 0)) __PYX_ERR(0, 210, __pyx_L29_error)
            #else
            __pyx_t_2 = PySequence_ITEM(__pyx_t_8, __pyx_t_11); __pyx_t_11++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 210, __pyx_L29_error)
            __Pyx_GOTREF(__pyx_t_2);
            #endif
          }
        } else {
          __pyx_t_2 = __pyx_t_12(__pyx_t_8);
          if (unlikely(!__pyx_t_2)) {
            PyObject* exc_type = PyErr_Occurred();
            if (exc_type) {
              if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
              else __PYX_ERR(0, 210, __pyx_L29_error)
            }
            break;
          }
          __Pyx_GOTREF(__pyx_t_2);
        }
        if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_6gnocis_9sequences_sequences))))) __PYX_ERR(0, 210, __pyx_L29_error)
        __Pyx_XDECREF_SET(__pyx_9genexpr16__pyx_v_blk, ((struct __pyx_obj_6gnocis_9sequences_sequences *)__pyx_t_2));
        __pyx_t_2 = 0;

        /* "gnocis/models.pyx":211
 * 				self.scoreSequence(cseq)
 * 				for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)
 * 				for cseq in blk             # <<<<<<<<<<<<<<
 * 			]
 * 		elif isinstance(seqs, sequences) or isinstance(seqs, list):
 */
        if (likely(PyList_CheckExact(((PyObject *)__pyx_9genexpr16__pyx_v_blk))) || PyTuple_CheckExact(((PyObject *)__pyx_9genexpr16__pyx_v_blk))) {
          __pyx_t_2 = ((PyObject *)__pyx_9genexpr16__pyx_v_blk); __Pyx_INCREF(__pyx_t_2); __pyx_t_15 = 0;
          __pyx_t_16 = NULL;
        } else {
          __pyx_t_15 = -1; __pyx_t_2 = PyObject_GetIter(((PyObject *)__pyx_9genexpr16__pyx_v_blk)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 211, __pyx_L29_error)
          __Pyx_GOTREF(__pyx_t_2);
          __pyx_t_16 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 211, __pyx_L29_error)
        }
        for (;;) {
          if (likely(!__pyx_t_16)) {
            if (likely(PyList_CheckExact(__pyx_t_2))) {
              if (__pyx_t_15 >= PyList_GET_SIZE(__pyx_t_2)) break;
              #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
              __pyx_t_1 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_15); __Pyx_INCREF(__pyx_t_1); __pyx_t_15++; if (unlikely(0 < 0)) __PYX_ERR(0, 211, __pyx_L29_error)
              #else
              __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_15); __pyx_t_15++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 211, __pyx_L29_error)
              __Pyx_GOTREF(__pyx_t_1);
              #endif
            } else {
              if (__pyx_t_15 >= PyTuple_GET_SIZE(__pyx_t_2)) break;
              #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
              __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_15); __Pyx_INCREF(__pyx_t_1); __pyx_t_15++; if (unlikely(0 < 0)) __PYX_ERR(0, 211, __pyx_L29_error)
              #else
              __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_15); __pyx_t_15++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 211, __pyx_L29_error)
              __Pyx_GOTREF(__pyx_t_1);
              #endif
            }
          } else {
            __pyx_t_1 = __pyx_t_16(__pyx_t_2);
            if (unlikely(!__pyx_t_1)) {
              PyObject* exc_type = PyErr_Occurred();
              if (exc_type) {
                if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
                else __PYX_ERR(0, 211, __pyx_L29_error)
              }
              break;
            }
            __Pyx_GOTREF(__pyx_t_1);
          }
          if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_6gnocis_9sequences_sequence))))) __PYX_ERR(0, 211, __pyx_L29_error)
          __Pyx_XDECREF_SET(__pyx_9genexpr16__pyx_v_cseq, ((struct __pyx_obj_6gnocis_9sequences_sequence *)__pyx_t_1));
          __pyx_t_1 = 0;

          /* "gnocis/models.pyx":209
 * 		if isinstance(seqs, sequenceStream):
 * 			return [
 * 				self.scoreSequence(cseq)             # <<<<<<<<<<<<<<
 * 				for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)
 * 				for cseq in blk
 */
          __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_scoreSequence); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 209, __pyx_L29_error)
          __Pyx_GOTREF(__pyx_t_13);
          __pyx_t_10 = NULL;
          if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) {
            __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_13);
            if (likely(__pyx_t_10)) {
              PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13);
              __Pyx_INCREF(__pyx_t_10);
              __Pyx_INCREF(function);
              __Pyx_DECREF_SET(__pyx_t_13, function);
            }
          }
          __pyx_t_1 = (__pyx_t_10) ? __Pyx_PyObject_Call2Args(__pyx_t_13, __pyx_t_10, ((PyObject *)__pyx_9genexpr16__pyx_v_cseq)) : __Pyx_PyObject_CallOneArg(__pyx_t_13, ((PyObject *)__pyx_9genexpr16__pyx_v_cseq));
          __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
          if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 209, __pyx_L29_error)
          __Pyx_GOTREF(__pyx_t_1);
          __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
          if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_t_1))) __PYX_ERR(0, 208, __pyx_L29_error)
          __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

          /* "gnocis/models.pyx":211
 * 				self.scoreSequence(cseq)
 * 				for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)
 * 				for cseq in blk             # <<<<<<<<<<<<<<
 * 			]
 * 		elif isinstance(seqs, sequences) or isinstance(seqs, list):
 */
        }
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

        /* "gnocis/models.pyx":210
 * 			return [
 * 				self.scoreSequence(cseq)
 * 				for blk in seqs.fetch(nTreadFetch, maxThreadFetchNT)             # <<<<<<<<<<<<<<
 * 				for cseq in blk
 * 			]
 */
      }
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __Pyx_XDECREF((PyObject *)__pyx_9genexpr16__pyx_v_blk); __pyx_9genexpr16__pyx_v_blk = 0;
      __Pyx_XDECREF((PyObject *)__pyx_9genexpr16__pyx_v_cseq); __pyx_9genexpr16__pyx_v_cseq = 0;
      goto __pyx_L34_exit_scope;
      __pyx_L29_error:;
      __Pyx_XDECREF((PyObject *)__pyx_9genexpr16__pyx_v_blk); __pyx_9genexpr16__pyx_v_blk = 0;
      __Pyx_XDECREF((PyObject *)__pyx_9genexpr16__pyx_v_cseq); __pyx_9genexpr16__pyx_v_cseq = 0;
      goto __pyx_L1_error;
      __pyx_L34_exit_scope:;
    } /* exit inner scope */
    __pyx_r = __pyx_t_4;
    __pyx_t_4 = 0;
    goto __pyx_L0;

    /* "gnocis/models.pyx":207
 * 					for score in blkScores
 * 				]
 * 		if isinstance(seqs, sequenceStream):             # <<<<<<<<<<<<<<
 * 			return [
 * 				self.scoreSequence(cseq)
 */
  }

  /* "gnocis/models.pyx":213
 * 				for cseq in blk
 * 			]
 * 		elif isinstance(seqs, sequences) or isinstance(seqs, list):             # <<<<<<<<<<<<<<
 * 			return [ self.scoreSequence(cseq) for cseq in seqs ]
 * 
 */
  __pyx_t_3 = __Pyx_TypeCheck(__pyx_v_seqs, __pyx_ptype_6gnocis_9sequences_sequences); 
  __pyx_t_19 = (__pyx_t_3 != 0);
  if (!__pyx_t_19) {
  } else {
    __pyx_t_5 = __pyx_t_19;
    goto __pyx_L35_bool_binop_done;
  }
  __pyx_t_19 = PyList_Check(__pyx_v_seqs); 
  __pyx_t_3 = (__pyx_t_19 != 0);
  __pyx_t_5 = __pyx_t_3;
  __pyx_L35_bool_binop_done:;
  if (__pyx_t_5) {

    /* "gnocis/models.pyx":214
 * 			]
 * 		elif isinstance(seqs, sequences) or isinstance(seqs, list):
 * 			return [ self.scoreSequence(cseq) for cseq in seqs ]             # <<<<<<<<<<<<<<
 * 
 * 	# Gets the threshold that gives optimal accuracy on a pair of lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 */
    __Pyx_XDECREF(__pyx_r);
    { /* enter inner scope */
      __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 214, __pyx_L39_error)
      __Pyx_GOTREF(__pyx_t_4);
      if (likely(PyList_CheckExact(__pyx_v_seqs)) || PyTuple_CheckExact(__pyx_v_seqs)) {
        __pyx_t_8 = __pyx_v_seqs; __Pyx_INCREF(__pyx_t_8); __pyx_t_11 = 0;
        __pyx_t_12 = NULL;
      } else {
        __pyx_t_11 = -1; __pyx_t_8 = PyObject_GetIter(__pyx_v_seqs); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 214, __pyx_L39_error)
        __Pyx_GOTREF(__pyx_t_8);
        __pyx_t_12 = Py_TYPE(__pyx_t_8)->tp_iternext; if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 214, __pyx_L39_error)
      }
      for (;;) {
        if (likely(!__pyx_t_12)) {
          if (likely(PyList_CheckExact(__pyx_t_8))) {
            if (__pyx_t_11 >= PyList_GET_SIZE(__pyx_t_8)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_2 = PyList_GET_ITEM(__pyx_t_8, __pyx_t_11); __Pyx_INCREF(__pyx_t_2); __pyx_t_11++; if (unlikely(0 < 0)) __PYX_ERR(0, 214, __pyx_L39_error)
            #else
            __pyx_t_2 = PySequence_ITEM(__pyx_t_8, __pyx_t_11); __pyx_t_11++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 214, __pyx_L39_error)
            __Pyx_GOTREF(__pyx_t_2);
            #endif
          } else {
            if (__pyx_t_11 >= PyTuple_GET_SIZE(__pyx_t_8)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_8, __pyx_t_11); __Pyx_INCREF(__pyx_t_2); __pyx_t_11++; if (unlikely(0 < 0)) __PYX_ERR(0, 214, __pyx_L39_error)
            #else
            __pyx_t_2 = PySequence_ITEM(__pyx_t_8, __pyx_t_11); __pyx_t_11++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 214, __pyx_L39_error)
            __Pyx_GOTREF(__pyx_t_2);
            #endif
          }
        } else {
          __pyx_t_2 = __pyx_t_12(__pyx_t_8);
          if (unlikely(!__pyx_t_2)) {
            PyObject* exc_type = PyErr_Occurred();
            if (exc_type) {
              if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
              else __PYX_ERR(0, 214, __pyx_L39_error)
            }
            break;
          }
          __Pyx_GOTREF(__pyx_t_2);
        }
        if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_6gnocis_9sequences_sequence))))) __PYX_ERR(0, 214, __pyx_L39_error)
        __Pyx_XDECREF_SET(__pyx_9genexpr17__pyx_v_cseq, ((struct __pyx_obj_6gnocis_9sequences_sequence *)__pyx_t_2));
        __pyx_t_2 = 0;
        __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_scoreSequence); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 214, __pyx_L39_error)
        __Pyx_GOTREF(__pyx_t_1);
        __pyx_t_13 = NULL;
        if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) {
          __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_1);
          if (likely(__pyx_t_13)) {
            PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1);
            __Pyx_INCREF(__pyx_t_13);
            __Pyx_INCREF(function);
            __Pyx_DECREF_SET(__pyx_t_1, function);
          }
        }
        __pyx_t_2 = (__pyx_t_13) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_13, ((PyObject *)__pyx_9genexpr17__pyx_v_cseq)) : __Pyx_PyObject_CallOneArg(__pyx_t_1, ((PyObject *)__pyx_9genexpr17__pyx_v_cseq));
        __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
        if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 214, __pyx_L39_error)
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
        if (unlikely(__Pyx_ListComp_Append(__pyx_t_4, (PyObject*)__pyx_t_2))) __PYX_ERR(0, 214, __pyx_L39_error)
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      }
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __Pyx_XDECREF((PyObject *)__pyx_9genexpr17__pyx_v_cseq); __pyx_9genexpr17__pyx_v_cseq = 0;
      goto __pyx_L42_exit_scope;
      __pyx_L39_error:;
      __Pyx_XDECREF((PyObject *)__pyx_9genexpr17__pyx_v_cseq); __pyx_9genexpr17__pyx_v_cseq = 0;
      goto __pyx_L1_error;
      __pyx_L42_exit_scope:;
    } /* exit inner scope */
    __pyx_r = __pyx_t_4;
    __pyx_t_4 = 0;
    goto __pyx_L0;

    /* "gnocis/models.pyx":213
 * 				for cseq in blk
 * 			]
 * 		elif isinstance(seqs, sequences) or isinstance(seqs, list):             # <<<<<<<<<<<<<<
 * 			return [ self.scoreSequence(cseq) for cseq in seqs ]
 * 
 */
  }

  /* "gnocis/models.pyx":166
 * 
 * 	# Gets a list of scores for a sequence list or stream. A stream is recommended when the sequence list is large, in order to avoid running out of memory.
 * 	def getSequenceScores(self, seqs):             # <<<<<<<<<<<<<<
 * 		""" Scores a set of sequences, returning the maximum window score for each.
 * 
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_XDECREF(__pyx_t_10);
  __Pyx_XDECREF(__pyx_t_13);
  __Pyx_XDECREF(__pyx_t_14);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getSequenceScores", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF((PyObject *)__pyx_9genexpr14__pyx_v_blk);
  __Pyx_XDECREF(__pyx_9genexpr14__pyx_v_blkScores);
  __Pyx_XDECREF(__pyx_9genexpr15__pyx_v_blkScores);
  __Pyx_XDECREF((PyObject *)__pyx_9genexpr16__pyx_v_blk);
  __Pyx_XDECREF((PyObject *)__pyx_9genexpr16__pyx_v_cseq);
  __Pyx_XDECREF((PyObject *)__pyx_9genexpr17__pyx_v_cseq);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":217
 * 
 * 	# Gets the threshold that gives optimal accuracy on a pair of lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 * 	def getOptimalAccuracyThreshold(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Gets a threshold value optimized for accuracy to a set of positive and a set of negative sequences.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_7getOptimalAccuracyThreshold(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_6getOptimalAccuracyThreshold[] = " Gets a threshold value optimized for accuracy to a set of positive and a set of negative sequences.\n\t\t\n\t\t:param positives: Positive sequences.\n\t\t:param negatives: Negative sequences.\n\t\t\n\t\t:type positives: sequences/sequenceStream\n\t\t:type negatives: sequences/sequenceStream\n\t\t\n\t\t:return: List of the maximum window score per sequence\n\t\t:rtype: list\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_7getOptimalAccuracyThreshold = {"getOptimalAccuracyThreshold", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_7getOptimalAccuracyThreshold, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_6getOptimalAccuracyThreshold};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_7getOptimalAccuracyThreshold(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getOptimalAccuracyThreshold (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getOptimalAccuracyThreshold", 1, 3, 3, 1); __PYX_ERR(0, 217, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getOptimalAccuracyThreshold", 1, 3, 3, 2); __PYX_ERR(0, 217, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getOptimalAccuracyThreshold") < 0)) __PYX_ERR(0, 217, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getOptimalAccuracyThreshold", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 217, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getOptimalAccuracyThreshold", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_6getOptimalAccuracyThreshold(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":231
 * 		positiveScores = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]
 * 		negativeScores = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		vPairs = sorted(positiveScores + negativeScores, key = lambda x: x.score)             # <<<<<<<<<<<<<<
 * 		TP, FP, TN, FN = len(positiveScores), len(negativeScores), 0, 0
 * 		threshold = float('-INF')
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_27getOptimalAccuracyThreshold_lambda6(PyObject *__pyx_self, PyObject *__pyx_v_x); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_27getOptimalAccuracyThreshold_lambda6 = {"lambda6", (PyCFunction)__pyx_pw_6gnocis_6models_13sequenceModel_27getOptimalAccuracyThreshold_lambda6, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_27getOptimalAccuracyThreshold_lambda6(PyObject *__pyx_self, PyObject *__pyx_v_x) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("lambda6 (wrapper)", 0);
  __pyx_r = __pyx_lambda_funcdef_lambda6(__pyx_self, ((PyObject *)__pyx_v_x));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_lambda_funcdef_lambda6(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("lambda6", 0);
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_x, __pyx_n_s_score); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 231, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getOptimalAccuracyThreshold.lambda6", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":217
 * 
 * 	# Gets the threshold that gives optimal accuracy on a pair of lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 * 	def getOptimalAccuracyThreshold(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Gets a threshold value optimized for accuracy to a set of positive and a set of negative sequences.
 * 
 */

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_6getOptimalAccuracyThreshold(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives) {
  PyObject *__pyx_v_positiveScores = NULL;
  PyObject *__pyx_v_negativeScores = NULL;
  PyObject *__pyx_v_vPairs = NULL;
  PyObject *__pyx_v_TP = NULL;
  PyObject *__pyx_v_FP = NULL;
  PyObject *__pyx_v_TN = NULL;
  PyObject *__pyx_v_FN = NULL;
  PyObject *__pyx_v_threshold = NULL;
  double __pyx_v_ACC;
  PyObject *__pyx_v_vp = NULL;
  double __pyx_v_cACC;
  PyObject *__pyx_9genexpr18__pyx_v_score = NULL;
  PyObject *__pyx_9genexpr19__pyx_v_score = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  Py_ssize_t __pyx_t_5;
  PyObject *(*__pyx_t_6)(PyObject *);
  double __pyx_t_7;
  double __pyx_t_8;
  int __pyx_t_9;
  __Pyx_RefNannySetupContext("getOptimalAccuracyThreshold", 0);

  /* "gnocis/models.pyx":229
 * 		:rtype: list
 * 		"""
 * 		positiveScores = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]             # <<<<<<<<<<<<<<
 * 		negativeScores = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		vPairs = sorted(positiveScores + negativeScores, key = lambda x: x.score)
 */
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 229, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 229, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
      __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3);
      if (likely(__pyx_t_4)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
        __Pyx_INCREF(__pyx_t_4);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_3, function);
      }
    }
    __pyx_t_2 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_4, __pyx_v_positives) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_positives);
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 229, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) {
      __pyx_t_3 = __pyx_t_2; __Pyx_INCREF(__pyx_t_3); __pyx_t_5 = 0;
      __pyx_t_6 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 229, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_6 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 229, __pyx_L5_error)
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    for (;;) {
      if (likely(!__pyx_t_6)) {
        if (likely(PyList_CheckExact(__pyx_t_3))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_3)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_2 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_2); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 229, __pyx_L5_error)
          #else
          __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 229, __pyx_L5_error)
          __Pyx_GOTREF(__pyx_t_2);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_3)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_2); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 229, __pyx_L5_error)
          #else
          __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 229, __pyx_L5_error)
          __Pyx_GOTREF(__pyx_t_2);
          #endif
        }
      } else {
        __pyx_t_2 = __pyx_t_6(__pyx_t_3);
        if (unlikely(!__pyx_t_2)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 229, __pyx_L5_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_2);
      }
      __Pyx_XDECREF_SET(__pyx_9genexpr18__pyx_v_score, __pyx_t_2);
      __pyx_t_2 = 0;
      __pyx_t_2 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 229, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_2);
      if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_score, __pyx_9genexpr18__pyx_v_score) < 0) __PYX_ERR(0, 229, __pyx_L5_error)
      if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_label, Py_True) < 0) __PYX_ERR(0, 229, __pyx_L5_error)
      __pyx_t_4 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_10validation_validationPair), __pyx_empty_tuple, __pyx_t_2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 229, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_4))) __PYX_ERR(0, 229, __pyx_L5_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_XDECREF(__pyx_9genexpr18__pyx_v_score); __pyx_9genexpr18__pyx_v_score = 0;
    goto __pyx_L8_exit_scope;
    __pyx_L5_error:;
    __Pyx_XDECREF(__pyx_9genexpr18__pyx_v_score); __pyx_9genexpr18__pyx_v_score = 0;
    goto __pyx_L1_error;
    __pyx_L8_exit_scope:;
  } /* exit inner scope */
  __pyx_v_positiveScores = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":230
 * 		"""
 * 		positiveScores = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]
 * 		negativeScores = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]             # <<<<<<<<<<<<<<
 * 		vPairs = sorted(positiveScores + negativeScores, key = lambda x: x.score)
 * 		TP, FP, TN, FN = len(positiveScores), len(negativeScores), 0, 0
 */
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 230, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 230, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_2 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_2)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    __pyx_t_3 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_2, __pyx_v_negatives) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_v_negatives);
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 230, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (likely(PyList_CheckExact(__pyx_t_3)) || PyTuple_CheckExact(__pyx_t_3)) {
      __pyx_t_4 = __pyx_t_3; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0;
      __pyx_t_6 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 230, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 230, __pyx_L11_error)
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    for (;;) {
      if (likely(!__pyx_t_6)) {
        if (likely(PyList_CheckExact(__pyx_t_4))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_3 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 230, __pyx_L11_error)
          #else
          __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 230, __pyx_L11_error)
          __Pyx_GOTREF(__pyx_t_3);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 230, __pyx_L11_error)
          #else
          __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 230, __pyx_L11_error)
          __Pyx_GOTREF(__pyx_t_3);
          #endif
        }
      } else {
        __pyx_t_3 = __pyx_t_6(__pyx_t_4);
        if (unlikely(!__pyx_t_3)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 230, __pyx_L11_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_3);
      }
      __Pyx_XDECREF_SET(__pyx_9genexpr19__pyx_v_score, __pyx_t_3);
      __pyx_t_3 = 0;
      __pyx_t_3 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 230, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_3);
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_score, __pyx_9genexpr19__pyx_v_score) < 0) __PYX_ERR(0, 230, __pyx_L11_error)
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_label, Py_False) < 0) __PYX_ERR(0, 230, __pyx_L11_error)
      __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_10validation_validationPair), __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 230, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_2))) __PYX_ERR(0, 230, __pyx_L11_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    }
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_XDECREF(__pyx_9genexpr19__pyx_v_score); __pyx_9genexpr19__pyx_v_score = 0;
    goto __pyx_L14_exit_scope;
    __pyx_L11_error:;
    __Pyx_XDECREF(__pyx_9genexpr19__pyx_v_score); __pyx_9genexpr19__pyx_v_score = 0;
    goto __pyx_L1_error;
    __pyx_L14_exit_scope:;
  } /* exit inner scope */
  __pyx_v_negativeScores = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":231
 * 		positiveScores = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]
 * 		negativeScores = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		vPairs = sorted(positiveScores + negativeScores, key = lambda x: x.score)             # <<<<<<<<<<<<<<
 * 		TP, FP, TN, FN = len(positiveScores), len(negativeScores), 0, 0
 * 		threshold = float('-INF')
 */
  __pyx_t_1 = PyNumber_Add(__pyx_v_positiveScores, __pyx_v_negativeScores); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 231, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 231, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_1);
  __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 231, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_27getOptimalAccuracyThreshold_lambda6, 0, __pyx_n_s_sequenceModel_getOptimalAccuracy, NULL, __pyx_n_s_gnocis_models, __pyx_d, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 231, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_key, __pyx_t_2) < 0) __PYX_ERR(0, 231, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_sorted, __pyx_t_4, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 231, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_v_vPairs = __pyx_t_2;
  __pyx_t_2 = 0;

  /* "gnocis/models.pyx":232
 * 		negativeScores = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		vPairs = sorted(positiveScores + negativeScores, key = lambda x: x.score)
 * 		TP, FP, TN, FN = len(positiveScores), len(negativeScores), 0, 0             # <<<<<<<<<<<<<<
 * 		threshold = float('-INF')
 * 		ACC = float( TP + TN ) / float( TP + TN + FP + FN )
 */
  __pyx_t_5 = PyList_GET_SIZE(__pyx_v_positiveScores); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 232, __pyx_L1_error)
  __pyx_t_2 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 232, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_5 = PyList_GET_SIZE(__pyx_v_negativeScores); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 232, __pyx_L1_error)
  __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 232, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_4 = __pyx_int_0;
  __Pyx_INCREF(__pyx_t_4);
  __pyx_t_3 = __pyx_int_0;
  __Pyx_INCREF(__pyx_t_3);
  __pyx_v_TP = __pyx_t_2;
  __pyx_t_2 = 0;
  __pyx_v_FP = __pyx_t_1;
  __pyx_t_1 = 0;
  __pyx_v_TN = __pyx_t_4;
  __pyx_t_4 = 0;
  __pyx_v_FN = __pyx_t_3;
  __pyx_t_3 = 0;

  /* "gnocis/models.pyx":233
 * 		vPairs = sorted(positiveScores + negativeScores, key = lambda x: x.score)
 * 		TP, FP, TN, FN = len(positiveScores), len(negativeScores), 0, 0
 * 		threshold = float('-INF')             # <<<<<<<<<<<<<<
 * 		ACC = float( TP + TN ) / float( TP + TN + FP + FN )
 * 		for vp in vPairs:
 */
  __pyx_t_3 = __Pyx_PyNumber_Float(__pyx_kp_u_INF); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 233, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_v_threshold = __pyx_t_3;
  __pyx_t_3 = 0;

  /* "gnocis/models.pyx":234
 * 		TP, FP, TN, FN = len(positiveScores), len(negativeScores), 0, 0
 * 		threshold = float('-INF')
 * 		ACC = float( TP + TN ) / float( TP + TN + FP + FN )             # <<<<<<<<<<<<<<
 * 		for vp in vPairs:
 * 			if vp.label:
 */
  __pyx_t_3 = PyNumber_Add(__pyx_v_TP, __pyx_v_TN); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 234, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_7 = __Pyx_PyObject_AsDouble(__pyx_t_3); if (unlikely(__pyx_t_7 == ((double)((double)-1)) && PyErr_Occurred())) __PYX_ERR(0, 234, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = PyNumber_Add(__pyx_v_TP, __pyx_v_TN); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 234, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_4 = PyNumber_Add(__pyx_t_3, __pyx_v_FP); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 234, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = PyNumber_Add(__pyx_t_4, __pyx_v_FN); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 234, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_8 = __Pyx_PyObject_AsDouble(__pyx_t_3); if (unlikely(__pyx_t_8 == ((double)((double)-1)) && PyErr_Occurred())) __PYX_ERR(0, 234, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (unlikely(__pyx_t_8 == 0)) {
    PyErr_SetString(PyExc_ZeroDivisionError, "float division");
    __PYX_ERR(0, 234, __pyx_L1_error)
  }
  __pyx_v_ACC = (__pyx_t_7 / __pyx_t_8);

  /* "gnocis/models.pyx":235
 * 		threshold = float('-INF')
 * 		ACC = float( TP + TN ) / float( TP + TN + FP + FN )
 * 		for vp in vPairs:             # <<<<<<<<<<<<<<
 * 			if vp.label:
 * 				TP -= 1
 */
  if (likely(PyList_CheckExact(__pyx_v_vPairs)) || PyTuple_CheckExact(__pyx_v_vPairs)) {
    __pyx_t_3 = __pyx_v_vPairs; __Pyx_INCREF(__pyx_t_3); __pyx_t_5 = 0;
    __pyx_t_6 = NULL;
  } else {
    __pyx_t_5 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_v_vPairs); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 235, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_6 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 235, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_6)) {
      if (likely(PyList_CheckExact(__pyx_t_3))) {
        if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_3)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_4); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 235, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 235, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      } else {
        if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_3)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_4); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 235, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 235, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      }
    } else {
      __pyx_t_4 = __pyx_t_6(__pyx_t_3);
      if (unlikely(!__pyx_t_4)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 235, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_4);
    }
    __Pyx_XDECREF_SET(__pyx_v_vp, __pyx_t_4);
    __pyx_t_4 = 0;

    /* "gnocis/models.pyx":236
 * 		ACC = float( TP + TN ) / float( TP + TN + FP + FN )
 * 		for vp in vPairs:
 * 			if vp.label:             # <<<<<<<<<<<<<<
 * 				TP -= 1
 * 				FN += 1
 */
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_vp, __pyx_n_s_label); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 236, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 236, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__pyx_t_9) {

      /* "gnocis/models.pyx":237
 * 		for vp in vPairs:
 * 			if vp.label:
 * 				TP -= 1             # <<<<<<<<<<<<<<
 * 				FN += 1
 * 			else:
 */
      __pyx_t_4 = __Pyx_PyInt_SubtractObjC(__pyx_v_TP, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 237, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF_SET(__pyx_v_TP, __pyx_t_4);
      __pyx_t_4 = 0;

      /* "gnocis/models.pyx":238
 * 			if vp.label:
 * 				TP -= 1
 * 				FN += 1             # <<<<<<<<<<<<<<
 * 			else:
 * 				FP -= 1
 */
      __pyx_t_4 = __Pyx_PyInt_AddObjC(__pyx_v_FN, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 238, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF_SET(__pyx_v_FN, __pyx_t_4);
      __pyx_t_4 = 0;

      /* "gnocis/models.pyx":236
 * 		ACC = float( TP + TN ) / float( TP + TN + FP + FN )
 * 		for vp in vPairs:
 * 			if vp.label:             # <<<<<<<<<<<<<<
 * 				TP -= 1
 * 				FN += 1
 */
      goto __pyx_L17;
    }

    /* "gnocis/models.pyx":240
 * 				FN += 1
 * 			else:
 * 				FP -= 1             # <<<<<<<<<<<<<<
 * 				TN += 1
 * 			cACC = float( TP + TN ) / float( TP + TN + FP + FN )
 */
    /*else*/ {
      __pyx_t_4 = __Pyx_PyInt_SubtractObjC(__pyx_v_FP, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 240, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF_SET(__pyx_v_FP, __pyx_t_4);
      __pyx_t_4 = 0;

      /* "gnocis/models.pyx":241
 * 			else:
 * 				FP -= 1
 * 				TN += 1             # <<<<<<<<<<<<<<
 * 			cACC = float( TP + TN ) / float( TP + TN + FP + FN )
 * 			if cACC >= ACC:
 */
      __pyx_t_4 = __Pyx_PyInt_AddObjC(__pyx_v_TN, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 241, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF_SET(__pyx_v_TN, __pyx_t_4);
      __pyx_t_4 = 0;
    }
    __pyx_L17:;

    /* "gnocis/models.pyx":242
 * 				FP -= 1
 * 				TN += 1
 * 			cACC = float( TP + TN ) / float( TP + TN + FP + FN )             # <<<<<<<<<<<<<<
 * 			if cACC >= ACC:
 * 				ACC = cACC
 */
    __pyx_t_4 = PyNumber_Add(__pyx_v_TP, __pyx_v_TN); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 242, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_8 = __Pyx_PyObject_AsDouble(__pyx_t_4); if (unlikely(__pyx_t_8 == ((double)((double)-1)) && PyErr_Occurred())) __PYX_ERR(0, 242, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = PyNumber_Add(__pyx_v_TP, __pyx_v_TN); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 242, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_1 = PyNumber_Add(__pyx_t_4, __pyx_v_FP); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 242, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = PyNumber_Add(__pyx_t_1, __pyx_v_FN); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 242, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_7 = __Pyx_PyObject_AsDouble(__pyx_t_4); if (unlikely(__pyx_t_7 == ((double)((double)-1)) && PyErr_Occurred())) __PYX_ERR(0, 242, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (unlikely(__pyx_t_7 == 0)) {
      PyErr_SetString(PyExc_ZeroDivisionError, "float division");
      __PYX_ERR(0, 242, __pyx_L1_error)
    }
    __pyx_v_cACC = (__pyx_t_8 / __pyx_t_7);

    /* "gnocis/models.pyx":243
 * 				TN += 1
 * 			cACC = float( TP + TN ) / float( TP + TN + FP + FN )
 * 			if cACC >= ACC:             # <<<<<<<<<<<<<<
 * 				ACC = cACC
 * 				threshold = vp.score
 */
    __pyx_t_9 = ((__pyx_v_cACC >= __pyx_v_ACC) != 0);
    if (__pyx_t_9) {

      /* "gnocis/models.pyx":244
 * 			cACC = float( TP + TN ) / float( TP + TN + FP + FN )
 * 			if cACC >= ACC:
 * 				ACC = cACC             # <<<<<<<<<<<<<<
 * 				threshold = vp.score
 * 		return threshold
 */
      __pyx_v_ACC = __pyx_v_cACC;

      /* "gnocis/models.pyx":245
 * 			if cACC >= ACC:
 * 				ACC = cACC
 * 				threshold = vp.score             # <<<<<<<<<<<<<<
 * 		return threshold
 * 
 */
      __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_vp, __pyx_n_s_score); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 245, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF_SET(__pyx_v_threshold, __pyx_t_4);
      __pyx_t_4 = 0;

      /* "gnocis/models.pyx":243
 * 				TN += 1
 * 			cACC = float( TP + TN ) / float( TP + TN + FP + FN )
 * 			if cACC >= ACC:             # <<<<<<<<<<<<<<
 * 				ACC = cACC
 * 				threshold = vp.score
 */
    }

    /* "gnocis/models.pyx":235
 * 		threshold = float('-INF')
 * 		ACC = float( TP + TN ) / float( TP + TN + FP + FN )
 * 		for vp in vPairs:             # <<<<<<<<<<<<<<
 * 			if vp.label:
 * 				TP -= 1
 */
  }
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "gnocis/models.pyx":246
 * 				ACC = cACC
 * 				threshold = vp.score
 * 		return threshold             # <<<<<<<<<<<<<<
 * 
 * 	# Gets the threshold that gives a desired precision for two lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(__pyx_v_threshold);
  __pyx_r = __pyx_v_threshold;
  goto __pyx_L0;

  /* "gnocis/models.pyx":217
 * 
 * 	# Gets the threshold that gives optimal accuracy on a pair of lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 * 	def getOptimalAccuracyThreshold(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Gets a threshold value optimized for accuracy to a set of positive and a set of negative sequences.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getOptimalAccuracyThreshold", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_positiveScores);
  __Pyx_XDECREF(__pyx_v_negativeScores);
  __Pyx_XDECREF(__pyx_v_vPairs);
  __Pyx_XDECREF(__pyx_v_TP);
  __Pyx_XDECREF(__pyx_v_FP);
  __Pyx_XDECREF(__pyx_v_TN);
  __Pyx_XDECREF(__pyx_v_FN);
  __Pyx_XDECREF(__pyx_v_threshold);
  __Pyx_XDECREF(__pyx_v_vp);
  __Pyx_XDECREF(__pyx_9genexpr18__pyx_v_score);
  __Pyx_XDECREF(__pyx_9genexpr19__pyx_v_score);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":249
 * 
 * 	# Gets the threshold that gives a desired precision for two lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 * 	def getPrecisionThreshold(self, positives, negatives, wantedPrecision):             # <<<<<<<<<<<<<<
 * 		""" Gets a threshold value for a desired precision to a set of positive and a set of negative sequences. Linear interpolation is used in order to achieve a close approximation.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_9getPrecisionThreshold(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_8getPrecisionThreshold[] = " Gets a threshold value for a desired precision to a set of positive and a set of negative sequences. Linear interpolation is used in order to achieve a close approximation.\n\t\t\n\t\t:param positives: Positive sequences.\n\t\t:param negatives: Negative sequences.\n\t\t:param wantedPrecision: The precision to approximate.\n\t\t\n\t\t:type positives: sequences/sequenceStream\n\t\t:type negatives: sequences/sequenceStream\n\t\t:type wantedPrecision: float\n\t\t\n\t\t:return: List of the maximum window score per sequence\n\t\t:rtype: list\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_9getPrecisionThreshold = {"getPrecisionThreshold", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_9getPrecisionThreshold, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_8getPrecisionThreshold};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_9getPrecisionThreshold(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_v_wantedPrecision = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getPrecisionThreshold (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,&__pyx_n_s_wantedPrecision,0};
    PyObject* values[4] = {0,0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getPrecisionThreshold", 1, 4, 4, 1); __PYX_ERR(0, 249, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getPrecisionThreshold", 1, 4, 4, 2); __PYX_ERR(0, 249, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_wantedPrecision)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getPrecisionThreshold", 1, 4, 4, 3); __PYX_ERR(0, 249, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getPrecisionThreshold") < 0)) __PYX_ERR(0, 249, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 4) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
      values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
    __pyx_v_wantedPrecision = values[3];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getPrecisionThreshold", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 249, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getPrecisionThreshold", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_8getPrecisionThreshold(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives, __pyx_v_wantedPrecision);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":266
 * 		negativeScores = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		#
 * 		classScoresSorted = sorted( positiveScores + negativeScores, key = lambda x: x.score )             # <<<<<<<<<<<<<<
 * 		# Search for optimal threshold
 * 		TP, FP = ( len(positiveScores), len(negativeScores) )
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_21getPrecisionThreshold_lambda7(PyObject *__pyx_self, PyObject *__pyx_v_x); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_21getPrecisionThreshold_lambda7 = {"lambda7", (PyCFunction)__pyx_pw_6gnocis_6models_13sequenceModel_21getPrecisionThreshold_lambda7, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_21getPrecisionThreshold_lambda7(PyObject *__pyx_self, PyObject *__pyx_v_x) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("lambda7 (wrapper)", 0);
  __pyx_r = __pyx_lambda_funcdef_lambda7(__pyx_self, ((PyObject *)__pyx_v_x));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_lambda_funcdef_lambda7(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("lambda7", 0);
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_x, __pyx_n_s_score); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 266, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getPrecisionThreshold.lambda7", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":249
 * 
 * 	# Gets the threshold that gives a desired precision for two lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 * 	def getPrecisionThreshold(self, positives, negatives, wantedPrecision):             # <<<<<<<<<<<<<<
 * 		""" Gets a threshold value for a desired precision to a set of positive and a set of negative sequences. Linear interpolation is used in order to achieve a close approximation.
 * 
 */

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_8getPrecisionThreshold(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives, PyObject *__pyx_v_wantedPrecision) {
  PyObject *__pyx_v_positiveScores = NULL;
  PyObject *__pyx_v_negativeScores = NULL;
  PyObject *__pyx_v_classScoresSorted = NULL;
  PyObject *__pyx_v_TP = NULL;
  PyObject *__pyx_v_FP = NULL;
  PyObject *__pyx_v_aThreshold = NULL;
  PyObject *__pyx_v_bThreshold = NULL;
  double __pyx_v_aPrecision;
  double __pyx_v_bPrecision;
  PyObject *__pyx_v_e = NULL;
  double __pyx_v_wPrecision;
  PyObject *__pyx_v_wThreshold = NULL;
  PyObject *__pyx_v_threshold = NULL;
  PyObject *__pyx_9genexpr20__pyx_v_score = NULL;
  PyObject *__pyx_9genexpr21__pyx_v_score = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  Py_ssize_t __pyx_t_5;
  PyObject *(*__pyx_t_6)(PyObject *);
  double __pyx_t_7;
  double __pyx_t_8;
  int __pyx_t_9;
  __Pyx_RefNannySetupContext("getPrecisionThreshold", 0);

  /* "gnocis/models.pyx":263
 * 		:rtype: list
 * 		"""
 * 		positiveScores = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]             # <<<<<<<<<<<<<<
 * 		negativeScores = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		#
 */
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 263, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 263, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
      __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3);
      if (likely(__pyx_t_4)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
        __Pyx_INCREF(__pyx_t_4);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_3, function);
      }
    }
    __pyx_t_2 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_4, __pyx_v_positives) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_positives);
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 263, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) {
      __pyx_t_3 = __pyx_t_2; __Pyx_INCREF(__pyx_t_3); __pyx_t_5 = 0;
      __pyx_t_6 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 263, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_6 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 263, __pyx_L5_error)
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    for (;;) {
      if (likely(!__pyx_t_6)) {
        if (likely(PyList_CheckExact(__pyx_t_3))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_3)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_2 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_2); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 263, __pyx_L5_error)
          #else
          __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 263, __pyx_L5_error)
          __Pyx_GOTREF(__pyx_t_2);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_3)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_2); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 263, __pyx_L5_error)
          #else
          __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 263, __pyx_L5_error)
          __Pyx_GOTREF(__pyx_t_2);
          #endif
        }
      } else {
        __pyx_t_2 = __pyx_t_6(__pyx_t_3);
        if (unlikely(!__pyx_t_2)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 263, __pyx_L5_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_2);
      }
      __Pyx_XDECREF_SET(__pyx_9genexpr20__pyx_v_score, __pyx_t_2);
      __pyx_t_2 = 0;
      __pyx_t_2 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 263, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_2);
      if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_score, __pyx_9genexpr20__pyx_v_score) < 0) __PYX_ERR(0, 263, __pyx_L5_error)
      if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_label, Py_True) < 0) __PYX_ERR(0, 263, __pyx_L5_error)
      __pyx_t_4 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_10validation_validationPair), __pyx_empty_tuple, __pyx_t_2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 263, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_4))) __PYX_ERR(0, 263, __pyx_L5_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_XDECREF(__pyx_9genexpr20__pyx_v_score); __pyx_9genexpr20__pyx_v_score = 0;
    goto __pyx_L8_exit_scope;
    __pyx_L5_error:;
    __Pyx_XDECREF(__pyx_9genexpr20__pyx_v_score); __pyx_9genexpr20__pyx_v_score = 0;
    goto __pyx_L1_error;
    __pyx_L8_exit_scope:;
  } /* exit inner scope */
  __pyx_v_positiveScores = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":264
 * 		"""
 * 		positiveScores = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]
 * 		negativeScores = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]             # <<<<<<<<<<<<<<
 * 		#
 * 		classScoresSorted = sorted( positiveScores + negativeScores, key = lambda x: x.score )
 */
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 264, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 264, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_2 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_2)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    __pyx_t_3 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_2, __pyx_v_negatives) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_v_negatives);
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 264, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (likely(PyList_CheckExact(__pyx_t_3)) || PyTuple_CheckExact(__pyx_t_3)) {
      __pyx_t_4 = __pyx_t_3; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0;
      __pyx_t_6 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 264, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 264, __pyx_L11_error)
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    for (;;) {
      if (likely(!__pyx_t_6)) {
        if (likely(PyList_CheckExact(__pyx_t_4))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_3 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 264, __pyx_L11_error)
          #else
          __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 264, __pyx_L11_error)
          __Pyx_GOTREF(__pyx_t_3);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 264, __pyx_L11_error)
          #else
          __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 264, __pyx_L11_error)
          __Pyx_GOTREF(__pyx_t_3);
          #endif
        }
      } else {
        __pyx_t_3 = __pyx_t_6(__pyx_t_4);
        if (unlikely(!__pyx_t_3)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 264, __pyx_L11_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_3);
      }
      __Pyx_XDECREF_SET(__pyx_9genexpr21__pyx_v_score, __pyx_t_3);
      __pyx_t_3 = 0;
      __pyx_t_3 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 264, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_3);
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_score, __pyx_9genexpr21__pyx_v_score) < 0) __PYX_ERR(0, 264, __pyx_L11_error)
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_label, Py_False) < 0) __PYX_ERR(0, 264, __pyx_L11_error)
      __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_10validation_validationPair), __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 264, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_2))) __PYX_ERR(0, 264, __pyx_L11_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    }
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_XDECREF(__pyx_9genexpr21__pyx_v_score); __pyx_9genexpr21__pyx_v_score = 0;
    goto __pyx_L14_exit_scope;
    __pyx_L11_error:;
    __Pyx_XDECREF(__pyx_9genexpr21__pyx_v_score); __pyx_9genexpr21__pyx_v_score = 0;
    goto __pyx_L1_error;
    __pyx_L14_exit_scope:;
  } /* exit inner scope */
  __pyx_v_negativeScores = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":266
 * 		negativeScores = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		#
 * 		classScoresSorted = sorted( positiveScores + negativeScores, key = lambda x: x.score )             # <<<<<<<<<<<<<<
 * 		# Search for optimal threshold
 * 		TP, FP = ( len(positiveScores), len(negativeScores) )
 */
  __pyx_t_1 = PyNumber_Add(__pyx_v_positiveScores, __pyx_v_negativeScores); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 266, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 266, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_1);
  __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 266, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_21getPrecisionThreshold_lambda7, 0, __pyx_n_s_sequenceModel_getPrecisionThresh, NULL, __pyx_n_s_gnocis_models, __pyx_d, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 266, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_key, __pyx_t_2) < 0) __PYX_ERR(0, 266, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_sorted, __pyx_t_4, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 266, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_v_classScoresSorted = __pyx_t_2;
  __pyx_t_2 = 0;

  /* "gnocis/models.pyx":268
 * 		classScoresSorted = sorted( positiveScores + negativeScores, key = lambda x: x.score )
 * 		# Search for optimal threshold
 * 		TP, FP = ( len(positiveScores), len(negativeScores) )             # <<<<<<<<<<<<<<
 * 		aThreshold, bThreshold = (0, 0)
 * 		aPrecision, bPrecision = (-1, -1)
 */
  __pyx_t_5 = PyList_GET_SIZE(__pyx_v_positiveScores); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 268, __pyx_L1_error)
  __pyx_t_2 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 268, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_5 = PyList_GET_SIZE(__pyx_v_negativeScores); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 268, __pyx_L1_error)
  __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 268, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_TP = __pyx_t_2;
  __pyx_t_2 = 0;
  __pyx_v_FP = __pyx_t_1;
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":269
 * 		# Search for optimal threshold
 * 		TP, FP = ( len(positiveScores), len(negativeScores) )
 * 		aThreshold, bThreshold = (0, 0)             # <<<<<<<<<<<<<<
 * 		aPrecision, bPrecision = (-1, -1)
 * 		for e in classScoresSorted:
 */
  __pyx_t_1 = __pyx_int_0;
  __Pyx_INCREF(__pyx_t_1);
  __pyx_t_2 = __pyx_int_0;
  __Pyx_INCREF(__pyx_t_2);
  __pyx_v_aThreshold = __pyx_t_1;
  __pyx_t_1 = 0;
  __pyx_v_bThreshold = __pyx_t_2;
  __pyx_t_2 = 0;

  /* "gnocis/models.pyx":270
 * 		TP, FP = ( len(positiveScores), len(negativeScores) )
 * 		aThreshold, bThreshold = (0, 0)
 * 		aPrecision, bPrecision = (-1, -1)             # <<<<<<<<<<<<<<
 * 		for e in classScoresSorted:
 * 			aPrecision = bPrecision
 */
  __pyx_t_7 = -1.0;
  __pyx_t_8 = -1.0;
  __pyx_v_aPrecision = __pyx_t_7;
  __pyx_v_bPrecision = __pyx_t_8;

  /* "gnocis/models.pyx":271
 * 		aThreshold, bThreshold = (0, 0)
 * 		aPrecision, bPrecision = (-1, -1)
 * 		for e in classScoresSorted:             # <<<<<<<<<<<<<<
 * 			aPrecision = bPrecision
 * 			bPrecision = float(TP)/float(TP+FP)
 */
  if (likely(PyList_CheckExact(__pyx_v_classScoresSorted)) || PyTuple_CheckExact(__pyx_v_classScoresSorted)) {
    __pyx_t_2 = __pyx_v_classScoresSorted; __Pyx_INCREF(__pyx_t_2); __pyx_t_5 = 0;
    __pyx_t_6 = NULL;
  } else {
    __pyx_t_5 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_v_classScoresSorted); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 271, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_6 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 271, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_6)) {
      if (likely(PyList_CheckExact(__pyx_t_2))) {
        if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 271, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 271, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      } else {
        if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_5); __Pyx_INCREF(__pyx_t_1); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 271, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 271, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      }
    } else {
      __pyx_t_1 = __pyx_t_6(__pyx_t_2);
      if (unlikely(!__pyx_t_1)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 271, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_1);
    }
    __Pyx_XDECREF_SET(__pyx_v_e, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":272
 * 		aPrecision, bPrecision = (-1, -1)
 * 		for e in classScoresSorted:
 * 			aPrecision = bPrecision             # <<<<<<<<<<<<<<
 * 			bPrecision = float(TP)/float(TP+FP)
 * 			aThreshold = bThreshold
 */
    __pyx_v_aPrecision = __pyx_v_bPrecision;

    /* "gnocis/models.pyx":273
 * 		for e in classScoresSorted:
 * 			aPrecision = bPrecision
 * 			bPrecision = float(TP)/float(TP+FP)             # <<<<<<<<<<<<<<
 * 			aThreshold = bThreshold
 * 			bThreshold = e.score
 */
    __pyx_t_8 = __Pyx_PyObject_AsDouble(__pyx_v_TP); if (unlikely(__pyx_t_8 == ((double)((double)-1)) && PyErr_Occurred())) __PYX_ERR(0, 273, __pyx_L1_error)
    __pyx_t_1 = PyNumber_Add(__pyx_v_TP, __pyx_v_FP); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 273, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_AsDouble(__pyx_t_1); if (unlikely(__pyx_t_7 == ((double)((double)-1)) && PyErr_Occurred())) __PYX_ERR(0, 273, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (unlikely(__pyx_t_7 == 0)) {
      PyErr_SetString(PyExc_ZeroDivisionError, "float division");
      __PYX_ERR(0, 273, __pyx_L1_error)
    }
    __pyx_v_bPrecision = (__pyx_t_8 / __pyx_t_7);

    /* "gnocis/models.pyx":274
 * 			aPrecision = bPrecision
 * 			bPrecision = float(TP)/float(TP+FP)
 * 			aThreshold = bThreshold             # <<<<<<<<<<<<<<
 * 			bThreshold = e.score
 * 			# This observation will be below the threshold in the next iteration,
 */
    __Pyx_INCREF(__pyx_v_bThreshold);
    __Pyx_DECREF_SET(__pyx_v_aThreshold, __pyx_v_bThreshold);

    /* "gnocis/models.pyx":275
 * 			bPrecision = float(TP)/float(TP+FP)
 * 			aThreshold = bThreshold
 * 			bThreshold = e.score             # <<<<<<<<<<<<<<
 * 			# This observation will be below the threshold in the next iteration,
 * 			# so remove count depending on whether it was a true or false positive
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_e, __pyx_n_s_score); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 275, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF_SET(__pyx_v_bThreshold, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":278
 * 			# This observation will be below the threshold in the next iteration,
 * 			# so remove count depending on whether it was a true or false positive
 * 			if bPrecision >= wantedPrecision:             # <<<<<<<<<<<<<<
 * 				break
 * 			if e.label:
 */
    __pyx_t_1 = PyFloat_FromDouble(__pyx_v_bPrecision); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = PyObject_RichCompare(__pyx_t_1, __pyx_v_wantedPrecision, Py_GE); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__pyx_t_9) {

      /* "gnocis/models.pyx":279
 * 			# so remove count depending on whether it was a true or false positive
 * 			if bPrecision >= wantedPrecision:
 * 				break             # <<<<<<<<<<<<<<
 * 			if e.label:
 * 				TP -= 1
 */
      goto __pyx_L16_break;

      /* "gnocis/models.pyx":278
 * 			# This observation will be below the threshold in the next iteration,
 * 			# so remove count depending on whether it was a true or false positive
 * 			if bPrecision >= wantedPrecision:             # <<<<<<<<<<<<<<
 * 				break
 * 			if e.label:
 */
    }

    /* "gnocis/models.pyx":280
 * 			if bPrecision >= wantedPrecision:
 * 				break
 * 			if e.label:             # <<<<<<<<<<<<<<
 * 				TP -= 1
 * 			else:
 */
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_e, __pyx_n_s_label); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 280, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_9 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 280, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__pyx_t_9) {

      /* "gnocis/models.pyx":281
 * 				break
 * 			if e.label:
 * 				TP -= 1             # <<<<<<<<<<<<<<
 * 			else:
 * 				FP -= 1
 */
      __pyx_t_4 = __Pyx_PyInt_SubtractObjC(__pyx_v_TP, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 281, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF_SET(__pyx_v_TP, __pyx_t_4);
      __pyx_t_4 = 0;

      /* "gnocis/models.pyx":280
 * 			if bPrecision >= wantedPrecision:
 * 				break
 * 			if e.label:             # <<<<<<<<<<<<<<
 * 				TP -= 1
 * 			else:
 */
      goto __pyx_L18;
    }

    /* "gnocis/models.pyx":283
 * 				TP -= 1
 * 			else:
 * 				FP -= 1             # <<<<<<<<<<<<<<
 * 		if aPrecision != bPrecision:
 * 			wPrecision = bPrecision-aPrecision
 */
    /*else*/ {
      __pyx_t_4 = __Pyx_PyInt_SubtractObjC(__pyx_v_FP, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 283, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF_SET(__pyx_v_FP, __pyx_t_4);
      __pyx_t_4 = 0;
    }
    __pyx_L18:;

    /* "gnocis/models.pyx":271
 * 		aThreshold, bThreshold = (0, 0)
 * 		aPrecision, bPrecision = (-1, -1)
 * 		for e in classScoresSorted:             # <<<<<<<<<<<<<<
 * 			aPrecision = bPrecision
 * 			bPrecision = float(TP)/float(TP+FP)
 */
  }
  __pyx_L16_break:;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":284
 * 			else:
 * 				FP -= 1
 * 		if aPrecision != bPrecision:             # <<<<<<<<<<<<<<
 * 			wPrecision = bPrecision-aPrecision
 * 			wThreshold = bThreshold-aThreshold
 */
  __pyx_t_9 = ((__pyx_v_aPrecision != __pyx_v_bPrecision) != 0);
  if (__pyx_t_9) {

    /* "gnocis/models.pyx":285
 * 				FP -= 1
 * 		if aPrecision != bPrecision:
 * 			wPrecision = bPrecision-aPrecision             # <<<<<<<<<<<<<<
 * 			wThreshold = bThreshold-aThreshold
 * 			threshold = (wantedPrecision-aPrecision)*(wThreshold/wPrecision) + aThreshold
 */
    __pyx_v_wPrecision = (__pyx_v_bPrecision - __pyx_v_aPrecision);

    /* "gnocis/models.pyx":286
 * 		if aPrecision != bPrecision:
 * 			wPrecision = bPrecision-aPrecision
 * 			wThreshold = bThreshold-aThreshold             # <<<<<<<<<<<<<<
 * 			threshold = (wantedPrecision-aPrecision)*(wThreshold/wPrecision) + aThreshold
 * 		else:
 */
    __pyx_t_2 = PyNumber_Subtract(__pyx_v_bThreshold, __pyx_v_aThreshold); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 286, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_v_wThreshold = __pyx_t_2;
    __pyx_t_2 = 0;

    /* "gnocis/models.pyx":287
 * 			wPrecision = bPrecision-aPrecision
 * 			wThreshold = bThreshold-aThreshold
 * 			threshold = (wantedPrecision-aPrecision)*(wThreshold/wPrecision) + aThreshold             # <<<<<<<<<<<<<<
 * 		else:
 * 			threshold = aThreshold
 */
    __pyx_t_2 = PyFloat_FromDouble(__pyx_v_aPrecision); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 287, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_4 = PyNumber_Subtract(__pyx_v_wantedPrecision, __pyx_t_2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 287, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = PyFloat_FromDouble(__pyx_v_wPrecision); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 287, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_1 = __Pyx_PyNumber_Divide(__pyx_v_wThreshold, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 287, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = PyNumber_Multiply(__pyx_t_4, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 287, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = PyNumber_Add(__pyx_t_2, __pyx_v_aThreshold); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 287, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_v_threshold = __pyx_t_1;
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":284
 * 			else:
 * 				FP -= 1
 * 		if aPrecision != bPrecision:             # <<<<<<<<<<<<<<
 * 			wPrecision = bPrecision-aPrecision
 * 			wThreshold = bThreshold-aThreshold
 */
    goto __pyx_L19;
  }

  /* "gnocis/models.pyx":289
 * 			threshold = (wantedPrecision-aPrecision)*(wThreshold/wPrecision) + aThreshold
 * 		else:
 * 			threshold = aThreshold             # <<<<<<<<<<<<<<
 * 		return threshold
 * 
 */
  /*else*/ {
    __Pyx_INCREF(__pyx_v_aThreshold);
    __pyx_v_threshold = __pyx_v_aThreshold;
  }
  __pyx_L19:;

  /* "gnocis/models.pyx":290
 * 		else:
 * 			threshold = aThreshold
 * 		return threshold             # <<<<<<<<<<<<<<
 * 
 * 	# Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(__pyx_v_threshold);
  __pyx_r = __pyx_v_threshold;
  goto __pyx_L0;

  /* "gnocis/models.pyx":249
 * 
 * 	# Gets the threshold that gives a desired precision for two lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 * 	def getPrecisionThreshold(self, positives, negatives, wantedPrecision):             # <<<<<<<<<<<<<<
 * 		""" Gets a threshold value for a desired precision to a set of positive and a set of negative sequences. Linear interpolation is used in order to achieve a close approximation.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getPrecisionThreshold", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_positiveScores);
  __Pyx_XDECREF(__pyx_v_negativeScores);
  __Pyx_XDECREF(__pyx_v_classScoresSorted);
  __Pyx_XDECREF(__pyx_v_TP);
  __Pyx_XDECREF(__pyx_v_FP);
  __Pyx_XDECREF(__pyx_v_aThreshold);
  __Pyx_XDECREF(__pyx_v_bThreshold);
  __Pyx_XDECREF(__pyx_v_e);
  __Pyx_XDECREF(__pyx_v_wThreshold);
  __Pyx_XDECREF(__pyx_v_threshold);
  __Pyx_XDECREF(__pyx_9genexpr20__pyx_v_score);
  __Pyx_XDECREF(__pyx_9genexpr21__pyx_v_score);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":293
 * 
 * 	# Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 	def calibrateGenomewidePrecision(self, positives, genome, factor = 1.0, precision = 0.8, bgModelOrder = 4, bgModel = None):             # <<<<<<<<<<<<<<
 * 		""" Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_11calibrateGenomewidePrecision(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_10calibrateGenomewidePrecision[] = " Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.\n\t\t\n\t\t:param positives: Positive sequences.\n\t\t:param genome: The genome.\n\t\t:param factor: Scaling factor for positive set versus genome.\n\t\t:param precision: The precision to approximate.\n\t\t:type bgModelOrder: The order of the background model.\n\t\t:type bgModel: A background model to use. If specified, the `bgModelOrder` argument will be ignored, and this model will be used to generate the background. Otherwise, a background model is trained on the genome.\n\t\t\n\t\t:type positives: sequences/sequenceStream\n\t\t:type genome: sequences/sequenceStream/str\n\t\t:type factor: float, optional\n\t\t:type precision: float, optional\n\t\t:type bgModelOrder: float, optional\n\t\t:type bgModel: object, optional\n\t\t\n\t\t:return: List of the maximum window score per sequence\n\t\t:rtype: list\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_11calibrateGenomewidePrecision = {"calibrateGenomewidePrecision", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_11calibrateGenomewidePrecision, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_10calibrateGenomewidePrecision};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_11calibrateGenomewidePrecision(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_genome = 0;
  PyObject *__pyx_v_factor = 0;
  PyObject *__pyx_v_precision = 0;
  PyObject *__pyx_v_bgModelOrder = 0;
  PyObject *__pyx_v_bgModel = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("calibrateGenomewidePrecision (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_genome,&__pyx_n_s_factor,&__pyx_n_s_precision,&__pyx_n_s_bgModelOrder,&__pyx_n_s_bgModel,0};
    PyObject* values[7] = {0,0,0,0,0,0,0};
    values[3] = ((PyObject *)((PyObject*)__pyx_float_1_0));
    values[4] = ((PyObject *)((PyObject*)__pyx_float_0_8));
    values[5] = ((PyObject *)((PyObject *)__pyx_int_4));
    values[6] = ((PyObject *)((PyObject *)Py_None));
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
        CYTHON_FALLTHROUGH;
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("calibrateGenomewidePrecision", 0, 3, 7, 1); __PYX_ERR(0, 293, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_genome)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("calibrateGenomewidePrecision", 0, 3, 7, 2); __PYX_ERR(0, 293, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_factor);
          if (value) { values[3] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  4:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_precision);
          if (value) { values[4] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  5:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_bgModelOrder);
          if (value) { values[5] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  6:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_bgModel);
          if (value) { values[6] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "calibrateGenomewidePrecision") < 0)) __PYX_ERR(0, 293, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
        CYTHON_FALLTHROUGH;
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_genome = values[2];
    __pyx_v_factor = values[3];
    __pyx_v_precision = values[4];
    __pyx_v_bgModelOrder = values[5];
    __pyx_v_bgModel = values[6];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("calibrateGenomewidePrecision", 0, 3, 7, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 293, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.calibrateGenomewidePrecision", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_10calibrateGenomewidePrecision(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_genome, __pyx_v_factor, __pyx_v_precision, __pyx_v_bgModelOrder, __pyx_v_bgModel);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_2generator6(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":317
 * 			genome = getSequenceStreamFromPath(genome)
 * 		seqLens = genome.getSequenceLengths()
 * 		genomeLen = sum(seqLens[chrom] for chrom in seqLens.keys())             # <<<<<<<<<<<<<<
 * 		# Train background model
 * 		if bgModel == None:
 */

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_11_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_11_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 317, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_2generator6, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_sequenceModel_calibrateGenomewid, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 317, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.calibrateGenomewidePrecision.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_2generator6(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  Py_ssize_t __pyx_t_3;
  int __pyx_t_4;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    case 1: goto __pyx_L6_resume_from_yield;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 317, __pyx_L1_error)
  __pyx_t_2 = 0;
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_seqLens)) { __Pyx_RaiseClosureNameError("seqLens"); __PYX_ERR(0, 317, __pyx_L1_error) }
  if (unlikely(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_seqLens == Py_None)) {
    PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "keys");
    __PYX_ERR(0, 317, __pyx_L1_error)
  }
  __pyx_t_5 = __Pyx_dict_iterator(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_seqLens, 0, __pyx_n_s_keys, (&__pyx_t_3), (&__pyx_t_4)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 317, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_1);
  __pyx_t_1 = __pyx_t_5;
  __pyx_t_5 = 0;
  while (1) {
    __pyx_t_6 = __Pyx_dict_iter_next(__pyx_t_1, __pyx_t_3, &__pyx_t_2, &__pyx_t_5, NULL, NULL, __pyx_t_4);
    if (unlikely(__pyx_t_6 == 0)) break;
    if (unlikely(__pyx_t_6 == -1)) __PYX_ERR(0, 317, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_chrom);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_chrom, __pyx_t_5);
    __Pyx_GIVEREF(__pyx_t_5);
    __pyx_t_5 = 0;
    if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_seqLens)) { __Pyx_RaiseClosureNameError("seqLens"); __PYX_ERR(0, 317, __pyx_L1_error) }
    __pyx_t_5 = __Pyx_PyObject_GetItem(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_seqLens, __pyx_cur_scope->__pyx_v_chrom); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 317, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_r = __pyx_t_5;
    __pyx_t_5 = 0;
    __Pyx_XGIVEREF(__pyx_t_1);
    __pyx_cur_scope->__pyx_t_0 = __pyx_t_1;
    __pyx_cur_scope->__pyx_t_1 = __pyx_t_2;
    __pyx_cur_scope->__pyx_t_2 = __pyx_t_3;
    __pyx_cur_scope->__pyx_t_3 = __pyx_t_4;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
    /* return from generator, yielding value */
    __pyx_generator->resume_label = 1;
    return __pyx_r;
    __pyx_L6_resume_from_yield:;
    __pyx_t_1 = __pyx_cur_scope->__pyx_t_0;
    __pyx_cur_scope->__pyx_t_0 = 0;
    __Pyx_XGOTREF(__pyx_t_1);
    __pyx_t_2 = __pyx_cur_scope->__pyx_t_1;
    __pyx_t_3 = __pyx_cur_scope->__pyx_t_2;
    __pyx_t_4 = __pyx_cur_scope->__pyx_t_3;
    if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 317, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* function exit code */
  PyErr_SetNone(PyExc_StopIteration);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_5generator7(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":324
 * 				else generatorMarkovChain(trainingSequences = genome, degree = bgModelOrder)
 * 		# Generate calibration sequences
 * 		meanLen = int(sum(len(s) for s in positives) / len(positives))             # <<<<<<<<<<<<<<
 * 		negatives = bgModel.generateStream(n = int(factor * genomeLen / meanLen), length = meanLen)
 * 		# Calibrate threshold
 */

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_3genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_12_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_12_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 324, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_5generator7, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_sequenceModel_calibrateGenomewid, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 324, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.calibrateGenomewidePrecision.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_5generator7(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  PyObject *(*__pyx_t_3)(PyObject *);
  PyObject *__pyx_t_4 = NULL;
  Py_ssize_t __pyx_t_5;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    case 1: goto __pyx_L6_resume_from_yield;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 324, __pyx_L1_error)
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_positives)) { __Pyx_RaiseClosureNameError("positives"); __PYX_ERR(0, 324, __pyx_L1_error) }
  if (likely(PyList_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_positives)) || PyTuple_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_positives)) {
    __pyx_t_1 = __pyx_cur_scope->__pyx_outer_scope->__pyx_v_positives; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
    __pyx_t_3 = NULL;
  } else {
    __pyx_t_2 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_positives); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 324, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 324, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_3)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_2 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 324, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 324, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      } else {
        if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 324, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 324, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      }
    } else {
      __pyx_t_4 = __pyx_t_3(__pyx_t_1);
      if (unlikely(!__pyx_t_4)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 324, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_4);
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_s);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_s, __pyx_t_4);
    __Pyx_GIVEREF(__pyx_t_4);
    __pyx_t_4 = 0;
    __pyx_t_5 = PyObject_Length(__pyx_cur_scope->__pyx_v_s); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 324, __pyx_L1_error)
    __pyx_t_4 = PyInt_FromSsize_t(__pyx_t_5); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 324, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_r = __pyx_t_4;
    __pyx_t_4 = 0;
    __Pyx_XGIVEREF(__pyx_t_1);
    __pyx_cur_scope->__pyx_t_0 = __pyx_t_1;
    __pyx_cur_scope->__pyx_t_1 = __pyx_t_2;
    __pyx_cur_scope->__pyx_t_2 = __pyx_t_3;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
    /* return from generator, yielding value */
    __pyx_generator->resume_label = 1;
    return __pyx_r;
    __pyx_L6_resume_from_yield:;
    __pyx_t_1 = __pyx_cur_scope->__pyx_t_0;
    __pyx_cur_scope->__pyx_t_0 = 0;
    __Pyx_XGOTREF(__pyx_t_1);
    __pyx_t_2 = __pyx_cur_scope->__pyx_t_1;
    __pyx_t_3 = __pyx_cur_scope->__pyx_t_2;
    if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 324, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* function exit code */
  PyErr_SetNone(PyExc_StopIteration);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":293
 * 
 * 	# Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 	def calibrateGenomewidePrecision(self, positives, genome, factor = 1.0, precision = 0.8, bgModelOrder = 4, bgModel = None):             # <<<<<<<<<<<<<<
 * 		""" Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 
 */

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_10calibrateGenomewidePrecision(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_genome, PyObject *__pyx_v_factor, PyObject *__pyx_v_precision, PyObject *__pyx_v_bgModelOrder, PyObject *__pyx_v_bgModel) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *__pyx_cur_scope;
  PyObject *__pyx_v_genomeLen = NULL;
  PyObject *__pyx_v_meanLen = NULL;
  PyObject *__pyx_v_negatives = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  int __pyx_t_2;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  Py_ssize_t __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  __Pyx_RefNannySetupContext("calibrateGenomewidePrecision", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision(__pyx_ptype_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 293, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_v_positives = __pyx_v_positives;
  __Pyx_INCREF(__pyx_cur_scope->__pyx_v_positives);
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_v_positives);
  __Pyx_INCREF(__pyx_v_genome);
  __Pyx_INCREF(__pyx_v_bgModel);

  /* "gnocis/models.pyx":314
 * 		"""
 * 		# Find genome size.
 * 		if isinstance(genome, str):             # <<<<<<<<<<<<<<
 * 			genome = getSequenceStreamFromPath(genome)
 * 		seqLens = genome.getSequenceLengths()
 */
  __pyx_t_1 = PyUnicode_Check(__pyx_v_genome); 
  __pyx_t_2 = (__pyx_t_1 != 0);
  if (__pyx_t_2) {

    /* "gnocis/models.pyx":315
 * 		# Find genome size.
 * 		if isinstance(genome, str):
 * 			genome = getSequenceStreamFromPath(genome)             # <<<<<<<<<<<<<<
 * 		seqLens = genome.getSequenceLengths()
 * 		genomeLen = sum(seqLens[chrom] for chrom in seqLens.keys())
 */
    __pyx_t_3 = __pyx_f_6gnocis_9sequences_getSequenceStreamFromPath(__pyx_v_genome, 0, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 315, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF_SET(__pyx_v_genome, __pyx_t_3);
    __pyx_t_3 = 0;

    /* "gnocis/models.pyx":314
 * 		"""
 * 		# Find genome size.
 * 		if isinstance(genome, str):             # <<<<<<<<<<<<<<
 * 			genome = getSequenceStreamFromPath(genome)
 * 		seqLens = genome.getSequenceLengths()
 */
  }

  /* "gnocis/models.pyx":316
 * 		if isinstance(genome, str):
 * 			genome = getSequenceStreamFromPath(genome)
 * 		seqLens = genome.getSequenceLengths()             # <<<<<<<<<<<<<<
 * 		genomeLen = sum(seqLens[chrom] for chrom in seqLens.keys())
 * 		# Train background model
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_genome, __pyx_n_s_getSequenceLengths); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 316, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
    }
  }
  __pyx_t_3 = (__pyx_t_5) ? __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5) : __Pyx_PyObject_CallNoArg(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
  if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 316, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_GIVEREF(__pyx_t_3);
  __pyx_cur_scope->__pyx_v_seqLens = __pyx_t_3;
  __pyx_t_3 = 0;

  /* "gnocis/models.pyx":317
 * 			genome = getSequenceStreamFromPath(genome)
 * 		seqLens = genome.getSequenceLengths()
 * 		genomeLen = sum(seqLens[chrom] for chrom in seqLens.keys())             # <<<<<<<<<<<<<<
 * 		# Train background model
 * 		if bgModel == None:
 */
  __pyx_t_3 = __pyx_pf_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 317, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 317, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_v_genomeLen = __pyx_t_4;
  __pyx_t_4 = 0;

  /* "gnocis/models.pyx":319
 * 		genomeLen = sum(seqLens[chrom] for chrom in seqLens.keys())
 * 		# Train background model
 * 		if bgModel == None:             # <<<<<<<<<<<<<<
 * 			bgModel = generatorIID(trainingSequences = genome) \
 * 				if bgModelOrder <= 0 \
 */
  __pyx_t_4 = PyObject_RichCompare(__pyx_v_bgModel, Py_None, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 319, __pyx_L1_error)
  __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 319, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  if (__pyx_t_2) {

    /* "gnocis/models.pyx":321
 * 		if bgModel == None:
 * 			bgModel = generatorIID(trainingSequences = genome) \
 * 				if bgModelOrder <= 0 \             # <<<<<<<<<<<<<<
 * 				else generatorMarkovChain(trainingSequences = genome, degree = bgModelOrder)
 * 		# Generate calibration sequences
 */
    __pyx_t_3 = PyObject_RichCompare(__pyx_v_bgModelOrder, __pyx_int_0, Py_LE); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 321, __pyx_L1_error)
    __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 321, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (__pyx_t_2) {

      /* "gnocis/models.pyx":320
 * 		# Train background model
 * 		if bgModel == None:
 * 			bgModel = generatorIID(trainingSequences = genome) \             # <<<<<<<<<<<<<<
 * 				if bgModelOrder <= 0 \
 * 				else generatorMarkovChain(trainingSequences = genome, degree = bgModelOrder)
 */
      __pyx_t_3 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 320, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_trainingSequences, __pyx_v_genome) < 0) __PYX_ERR(0, 320, __pyx_L1_error)
      __pyx_t_5 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_9sequences_generatorIID), __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 320, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_4 = __pyx_t_5;
      __pyx_t_5 = 0;
    } else {

      /* "gnocis/models.pyx":322
 * 			bgModel = generatorIID(trainingSequences = genome) \
 * 				if bgModelOrder <= 0 \
 * 				else generatorMarkovChain(trainingSequences = genome, degree = bgModelOrder)             # <<<<<<<<<<<<<<
 * 		# Generate calibration sequences
 * 		meanLen = int(sum(len(s) for s in positives) / len(positives))
 */
      __pyx_t_5 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 322, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_trainingSequences, __pyx_v_genome) < 0) __PYX_ERR(0, 322, __pyx_L1_error)
      if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_degree, __pyx_v_bgModelOrder) < 0) __PYX_ERR(0, 322, __pyx_L1_error)
      __pyx_t_3 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_9sequences_generatorMarkovChain), __pyx_empty_tuple, __pyx_t_5); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 322, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __pyx_t_4 = __pyx_t_3;
      __pyx_t_3 = 0;
    }
    __Pyx_DECREF_SET(__pyx_v_bgModel, __pyx_t_4);
    __pyx_t_4 = 0;

    /* "gnocis/models.pyx":319
 * 		genomeLen = sum(seqLens[chrom] for chrom in seqLens.keys())
 * 		# Train background model
 * 		if bgModel == None:             # <<<<<<<<<<<<<<
 * 			bgModel = generatorIID(trainingSequences = genome) \
 * 				if bgModelOrder <= 0 \
 */
  }

  /* "gnocis/models.pyx":324
 * 				else generatorMarkovChain(trainingSequences = genome, degree = bgModelOrder)
 * 		# Generate calibration sequences
 * 		meanLen = int(sum(len(s) for s in positives) / len(positives))             # <<<<<<<<<<<<<<
 * 		negatives = bgModel.generateStream(n = int(factor * genomeLen / meanLen), length = meanLen)
 * 		# Calibrate threshold
 */
  __pyx_t_4 = __pyx_pf_6gnocis_6models_13sequenceModel_28calibrateGenomewidePrecision_3genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 324, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 324, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = __pyx_cur_scope->__pyx_v_positives;
  __Pyx_INCREF(__pyx_t_4);
  __pyx_t_6 = PyObject_Length(__pyx_t_4); if (unlikely(__pyx_t_6 == ((Py_ssize_t)-1))) __PYX_ERR(0, 324, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = PyInt_FromSsize_t(__pyx_t_6); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 324, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyNumber_Divide(__pyx_t_3, __pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 324, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = __Pyx_PyNumber_Int(__pyx_t_5); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 324, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_v_meanLen = __pyx_t_4;
  __pyx_t_4 = 0;

  /* "gnocis/models.pyx":325
 * 		# Generate calibration sequences
 * 		meanLen = int(sum(len(s) for s in positives) / len(positives))
 * 		negatives = bgModel.generateStream(n = int(factor * genomeLen / meanLen), length = meanLen)             # <<<<<<<<<<<<<<
 * 		# Calibrate threshold
 * 		self.threshold = self.getPrecisionThreshold(positives = positives, negatives = negatives, wantedPrecision = precision)
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_bgModel, __pyx_n_s_generateStream); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 325, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 325, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_3 = PyNumber_Multiply(__pyx_v_factor, __pyx_v_genomeLen); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 325, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_7 = __Pyx_PyNumber_Divide(__pyx_t_3, __pyx_v_meanLen); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 325, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = __Pyx_PyNumber_Int(__pyx_t_7); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 325, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_n, __pyx_t_3) < 0) __PYX_ERR(0, 325, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_length, __pyx_v_meanLen) < 0) __PYX_ERR(0, 325, __pyx_L1_error)
  __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_empty_tuple, __pyx_t_5); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 325, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_v_negatives = __pyx_t_3;
  __pyx_t_3 = 0;

  /* "gnocis/models.pyx":327
 * 		negatives = bgModel.generateStream(n = int(factor * genomeLen / meanLen), length = meanLen)
 * 		# Calibrate threshold
 * 		self.threshold = self.getPrecisionThreshold(positives = positives, negatives = negatives, wantedPrecision = precision)             # <<<<<<<<<<<<<<
 * 		return self
 * 
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getPrecisionThreshold); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 327, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_5 = __Pyx_PyDict_NewPresized(3); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 327, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_positives, __pyx_cur_scope->__pyx_v_positives) < 0) __PYX_ERR(0, 327, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_negatives, __pyx_v_negatives) < 0) __PYX_ERR(0, 327, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_wantedPrecision, __pyx_v_precision) < 0) __PYX_ERR(0, 327, __pyx_L1_error)
  __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_empty_tuple, __pyx_t_5); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 327, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_threshold, __pyx_t_4) < 0) __PYX_ERR(0, 327, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":328
 * 		# Calibrate threshold
 * 		self.threshold = self.getPrecisionThreshold(positives = positives, negatives = negatives, wantedPrecision = precision)
 * 		return self             # <<<<<<<<<<<<<<
 * 
 * 	# Applies model to a sequence with a sliding window, and returns the maximum score.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(__pyx_v_self);
  __pyx_r = __pyx_v_self;
  goto __pyx_L0;

  /* "gnocis/models.pyx":293
 * 
 * 	# Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 	def calibrateGenomewidePrecision(self, positives, genome, factor = 1.0, precision = 0.8, bgModelOrder = 4, bgModel = None):             # <<<<<<<<<<<<<<
 * 		""" Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.calibrateGenomewidePrecision", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_genomeLen);
  __Pyx_XDECREF(__pyx_v_meanLen);
  __Pyx_XDECREF(__pyx_v_negatives);
  __Pyx_XDECREF(__pyx_v_genome);
  __Pyx_XDECREF(__pyx_v_bgModel);
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":331
 * 
 * 	# Applies model to a sequence with a sliding window, and returns the maximum score.
 * 	def scoreSequence(self, seq):             # <<<<<<<<<<<<<<
 * 		""" Scores a single sequence. The score is determined by applying the model with a sliding window, and taking the maximum score.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_13scoreSequence(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_12scoreSequence[] = " Scores a single sequence. The score is determined by applying the model with a sliding window, and taking the maximum score.\n\t\t\n\t\t:param seq: The sequence.\n\t\t\n\t\t:type seq: sequences/sequenceStream\n\t\t\n\t\t:return: Maximal window score\n\t\t:rtype: float\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_13scoreSequence = {"scoreSequence", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_13scoreSequence, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_12scoreSequence};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_13scoreSequence(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_seq = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("scoreSequence (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_seq,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_seq)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("scoreSequence", 1, 2, 2, 1); __PYX_ERR(0, 331, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "scoreSequence") < 0)) __PYX_ERR(0, 331, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_seq = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("scoreSequence", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 331, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.scoreSequence", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_12scoreSequence(__pyx_self, __pyx_v_self, __pyx_v_seq);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_13sequenceModel_13scoreSequence_2generator8(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":344
 * 		score = max(
 * 			(
 * 				self.scoreWindow(win)             # <<<<<<<<<<<<<<
 * 				for win in
 * 				seq.getWindows(self.windowSize, self.windowStep)
 */

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_13scoreSequence_genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_14_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_14_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 344, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_13sequenceModel_13scoreSequence_2generator8, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_sequenceModel_scoreSequence_loca, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 344, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.scoreSequence.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_13sequenceModel_13scoreSequence_2generator8(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  Py_ssize_t __pyx_t_8;
  PyObject *(*__pyx_t_9)(PyObject *);
  Py_ssize_t __pyx_t_10;
  int __pyx_t_11;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    case 1: goto __pyx_L7_resume_from_yield;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 344, __pyx_L1_error)

  /* "gnocis/models.pyx":346
 * 				self.scoreWindow(win)
 * 				for win in
 * 				seq.getWindows(self.windowSize, self.windowStep)             # <<<<<<<<<<<<<<
 * 				if len(win) == self.windowSize
 * 			),
 */
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_seq)) { __Pyx_RaiseClosureNameError("seq"); __PYX_ERR(0, 346, __pyx_L1_error) }
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_seq, __pyx_n_s_getWindows); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 346, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_self)) { __Pyx_RaiseClosureNameError("self"); __PYX_ERR(0, 346, __pyx_L1_error) }
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_self, __pyx_n_s_windowSize); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 346, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_self)) { __Pyx_RaiseClosureNameError("self"); __PYX_ERR(0, 346, __pyx_L1_error) }
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_self, __pyx_n_s_windowStep); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 346, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_3, __pyx_t_4};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 346, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_t_3, __pyx_t_4};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 346, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 346, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_5) {
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_5); __pyx_t_5 = NULL;
    }
    __Pyx_GIVEREF(__pyx_t_3);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_t_3);
    __Pyx_GIVEREF(__pyx_t_4);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_t_4);
    __pyx_t_3 = 0;
    __pyx_t_4 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_7, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 346, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (likely(PyList_CheckExact(__pyx_t_1)) || PyTuple_CheckExact(__pyx_t_1)) {
    __pyx_t_2 = __pyx_t_1; __Pyx_INCREF(__pyx_t_2); __pyx_t_8 = 0;
    __pyx_t_9 = NULL;
  } else {
    __pyx_t_8 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 346, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 346, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  for (;;) {
    if (likely(!__pyx_t_9)) {
      if (likely(PyList_CheckExact(__pyx_t_2))) {
        if (__pyx_t_8 >= PyList_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_8); __Pyx_INCREF(__pyx_t_1); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 346, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 346, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      } else {
        if (__pyx_t_8 >= PyTuple_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_8); __Pyx_INCREF(__pyx_t_1); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 346, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 346, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      }
    } else {
      __pyx_t_1 = __pyx_t_9(__pyx_t_2);
      if (unlikely(!__pyx_t_1)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 346, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_1);
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_win);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_win, __pyx_t_1);
    __Pyx_GIVEREF(__pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":347
 * 				for win in
 * 				seq.getWindows(self.windowSize, self.windowStep)
 * 				if len(win) == self.windowSize             # <<<<<<<<<<<<<<
 * 			),
 * 			default = float('-INF')
 */
    __pyx_t_10 = PyObject_Length(__pyx_cur_scope->__pyx_v_win); if (unlikely(__pyx_t_10 == ((Py_ssize_t)-1))) __PYX_ERR(0, 347, __pyx_L1_error)
    __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_10); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 347, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_self)) { __Pyx_RaiseClosureNameError("self"); __PYX_ERR(0, 347, __pyx_L1_error) }
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_self, __pyx_n_s_windowSize); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 347, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_4 = PyObject_RichCompare(__pyx_t_1, __pyx_t_7, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 347, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_11 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_11 < 0)) __PYX_ERR(0, 347, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__pyx_t_11) {

      /* "gnocis/models.pyx":344
 * 		score = max(
 * 			(
 * 				self.scoreWindow(win)             # <<<<<<<<<<<<<<
 * 				for win in
 * 				seq.getWindows(self.windowSize, self.windowStep)
 */
      if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_self)) { __Pyx_RaiseClosureNameError("self"); __PYX_ERR(0, 344, __pyx_L1_error) }
      __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_self, __pyx_n_s_scoreWindow); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 344, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_1 = NULL;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
        __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_7);
        if (likely(__pyx_t_1)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
          __Pyx_INCREF(__pyx_t_1);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_7, function);
        }
      }
      __pyx_t_4 = (__pyx_t_1) ? __Pyx_PyObject_Call2Args(__pyx_t_7, __pyx_t_1, __pyx_cur_scope->__pyx_v_win) : __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_cur_scope->__pyx_v_win);
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 344, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __pyx_r = __pyx_t_4;
      __pyx_t_4 = 0;
      __Pyx_XGIVEREF(__pyx_t_2);
      __pyx_cur_scope->__pyx_t_0 = __pyx_t_2;
      __pyx_cur_scope->__pyx_t_1 = __pyx_t_8;
      __pyx_cur_scope->__pyx_t_2 = __pyx_t_9;
      __Pyx_XGIVEREF(__pyx_r);
      __Pyx_RefNannyFinishContext();
      __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
      /* return from generator, yielding value */
      __pyx_generator->resume_label = 1;
      return __pyx_r;
      __pyx_L7_resume_from_yield:;
      __pyx_t_2 = __pyx_cur_scope->__pyx_t_0;
      __pyx_cur_scope->__pyx_t_0 = 0;
      __Pyx_XGOTREF(__pyx_t_2);
      __pyx_t_8 = __pyx_cur_scope->__pyx_t_1;
      __pyx_t_9 = __pyx_cur_scope->__pyx_t_2;
      if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 344, __pyx_L1_error)

      /* "gnocis/models.pyx":347
 * 				for win in
 * 				seq.getWindows(self.windowSize, self.windowStep)
 * 				if len(win) == self.windowSize             # <<<<<<<<<<<<<<
 * 			),
 * 			default = float('-INF')
 */
    }

    /* "gnocis/models.pyx":345
 * 			(
 * 				self.scoreWindow(win)
 * 				for win in             # <<<<<<<<<<<<<<
 * 				seq.getWindows(self.windowSize, self.windowStep)
 * 				if len(win) == self.windowSize
 */
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* "gnocis/models.pyx":344
 * 		score = max(
 * 			(
 * 				self.scoreWindow(win)             # <<<<<<<<<<<<<<
 * 				for win in
 * 				seq.getWindows(self.windowSize, self.windowStep)
 */

  /* function exit code */
  PyErr_SetNone(PyExc_StopIteration);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":331
 * 
 * 	# Applies model to a sequence with a sliding window, and returns the maximum score.
 * 	def scoreSequence(self, seq):             # <<<<<<<<<<<<<<
 * 		""" Scores a single sequence. The score is determined by applying the model with a sliding window, and taking the maximum score.
 * 
 */

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_12scoreSequence(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_seq) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *__pyx_cur_scope;
  float __pyx_v_score;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  float __pyx_t_4;
  __Pyx_RefNannySetupContext("scoreSequence", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_13_scoreSequence(__pyx_ptype_6gnocis_6models___pyx_scope_struct_13_scoreSequence, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 331, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_v_self = __pyx_v_self;
  __Pyx_INCREF(__pyx_cur_scope->__pyx_v_self);
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_v_self);
  __pyx_cur_scope->__pyx_v_seq = __pyx_v_seq;
  __Pyx_INCREF(__pyx_cur_scope->__pyx_v_seq);
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_v_seq);

  /* "gnocis/models.pyx":344
 * 		score = max(
 * 			(
 * 				self.scoreWindow(win)             # <<<<<<<<<<<<<<
 * 				for win in
 * 				seq.getWindows(self.windowSize, self.windowStep)
 */
  __pyx_t_1 = __pyx_pf_6gnocis_6models_13sequenceModel_13scoreSequence_genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 344, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);

  /* "gnocis/models.pyx":342
 * 		"""
 * 		cdef float score
 * 		score = max(             # <<<<<<<<<<<<<<
 * 			(
 * 				self.scoreWindow(win)
 */
  __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 342, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":349
 * 				if len(win) == self.windowSize
 * 			),
 * 			default = float('-INF')             # <<<<<<<<<<<<<<
 * 		)
 * 		return score
 */
  __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 349, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_3 = __Pyx_PyNumber_Float(__pyx_kp_u_INF); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 349, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_default, __pyx_t_3) < 0) __PYX_ERR(0, 349, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "gnocis/models.pyx":342
 * 		"""
 * 		cdef float score
 * 		score = max(             # <<<<<<<<<<<<<<
 * 			(
 * 				self.scoreWindow(win)
 */
  __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_max, __pyx_t_2, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 342, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_4 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_4 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 342, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_v_score = __pyx_t_4;

  /* "gnocis/models.pyx":351
 * 			default = float('-INF')
 * 		)
 * 		return score             # <<<<<<<<<<<<<<
 * 
 * 	# Gets and returns a confusion matrix.
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_3 = PyFloat_FromDouble(__pyx_v_score); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 351, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_r = __pyx_t_3;
  __pyx_t_3 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":331
 * 
 * 	# Applies model to a sequence with a sliding window, and returns the maximum score.
 * 	def scoreSequence(self, seq):             # <<<<<<<<<<<<<<
 * 		""" Scores a single sequence. The score is determined by applying the model with a sliding window, and taking the maximum score.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.scoreSequence", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":354
 * 
 * 	# Gets and returns a confusion matrix.
 * 	def getConfusionMatrix(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a confusion matrix for sets of positive and negative sequences.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_15getConfusionMatrix(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_14getConfusionMatrix[] = " Calculates and returns a confusion matrix for sets of positive and negative sequences.\n\t\t\n\t\t:param positives: Positives.\n\t\t:param negatives: Negatives.\n\t\t\n\t\t:type positives: sequences/sequenceStream\n\t\t:type negatives: sequences/sequenceStream\n\t\t\n\t\t:return: Confusion matrix\n\t\t:rtype: dict\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_15getConfusionMatrix = {"getConfusionMatrix", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_15getConfusionMatrix, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_14getConfusionMatrix};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_15getConfusionMatrix(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getConfusionMatrix (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getConfusionMatrix", 1, 3, 3, 1); __PYX_ERR(0, 354, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getConfusionMatrix", 1, 3, 3, 2); __PYX_ERR(0, 354, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getConfusionMatrix") < 0)) __PYX_ERR(0, 354, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getConfusionMatrix", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 354, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getConfusionMatrix", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_14getConfusionMatrix(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_14getConfusionMatrix(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives) {
  PyObject *__pyx_v_vPos = NULL;
  PyObject *__pyx_v_vNeg = NULL;
  PyObject *__pyx_9genexpr25__pyx_v_score = NULL;
  PyObject *__pyx_9genexpr26__pyx_v_score = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  Py_ssize_t __pyx_t_5;
  PyObject *(*__pyx_t_6)(PyObject *);
  __Pyx_RefNannySetupContext("getConfusionMatrix", 0);

  /* "gnocis/models.pyx":366
 * 		:rtype: dict
 * 		"""
 * 		vPos = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]             # <<<<<<<<<<<<<<
 * 		vNeg = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		return getConfusionMatrix(vPos, vNeg, threshold = self.threshold)
 */
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 366, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 366, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
      __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3);
      if (likely(__pyx_t_4)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
        __Pyx_INCREF(__pyx_t_4);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_3, function);
      }
    }
    __pyx_t_2 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_4, __pyx_v_positives) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_positives);
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 366, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) {
      __pyx_t_3 = __pyx_t_2; __Pyx_INCREF(__pyx_t_3); __pyx_t_5 = 0;
      __pyx_t_6 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 366, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_6 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 366, __pyx_L5_error)
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    for (;;) {
      if (likely(!__pyx_t_6)) {
        if (likely(PyList_CheckExact(__pyx_t_3))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_3)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_2 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_2); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 366, __pyx_L5_error)
          #else
          __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 366, __pyx_L5_error)
          __Pyx_GOTREF(__pyx_t_2);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_3)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_2); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 366, __pyx_L5_error)
          #else
          __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 366, __pyx_L5_error)
          __Pyx_GOTREF(__pyx_t_2);
          #endif
        }
      } else {
        __pyx_t_2 = __pyx_t_6(__pyx_t_3);
        if (unlikely(!__pyx_t_2)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 366, __pyx_L5_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_2);
      }
      __Pyx_XDECREF_SET(__pyx_9genexpr25__pyx_v_score, __pyx_t_2);
      __pyx_t_2 = 0;
      __pyx_t_2 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 366, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_2);
      if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_score, __pyx_9genexpr25__pyx_v_score) < 0) __PYX_ERR(0, 366, __pyx_L5_error)
      if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_label, Py_True) < 0) __PYX_ERR(0, 366, __pyx_L5_error)
      __pyx_t_4 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_10validation_validationPair), __pyx_empty_tuple, __pyx_t_2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 366, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_4))) __PYX_ERR(0, 366, __pyx_L5_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_XDECREF(__pyx_9genexpr25__pyx_v_score); __pyx_9genexpr25__pyx_v_score = 0;
    goto __pyx_L8_exit_scope;
    __pyx_L5_error:;
    __Pyx_XDECREF(__pyx_9genexpr25__pyx_v_score); __pyx_9genexpr25__pyx_v_score = 0;
    goto __pyx_L1_error;
    __pyx_L8_exit_scope:;
  } /* exit inner scope */
  __pyx_v_vPos = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":367
 * 		"""
 * 		vPos = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]
 * 		vNeg = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]             # <<<<<<<<<<<<<<
 * 		return getConfusionMatrix(vPos, vNeg, threshold = self.threshold)
 * 
 */
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 367, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 367, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_2 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_2)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    __pyx_t_3 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_2, __pyx_v_negatives) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_v_negatives);
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 367, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (likely(PyList_CheckExact(__pyx_t_3)) || PyTuple_CheckExact(__pyx_t_3)) {
      __pyx_t_4 = __pyx_t_3; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0;
      __pyx_t_6 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 367, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 367, __pyx_L11_error)
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    for (;;) {
      if (likely(!__pyx_t_6)) {
        if (likely(PyList_CheckExact(__pyx_t_4))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_3 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 367, __pyx_L11_error)
          #else
          __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 367, __pyx_L11_error)
          __Pyx_GOTREF(__pyx_t_3);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 367, __pyx_L11_error)
          #else
          __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 367, __pyx_L11_error)
          __Pyx_GOTREF(__pyx_t_3);
          #endif
        }
      } else {
        __pyx_t_3 = __pyx_t_6(__pyx_t_4);
        if (unlikely(!__pyx_t_3)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 367, __pyx_L11_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_3);
      }
      __Pyx_XDECREF_SET(__pyx_9genexpr26__pyx_v_score, __pyx_t_3);
      __pyx_t_3 = 0;
      __pyx_t_3 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 367, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_3);
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_score, __pyx_9genexpr26__pyx_v_score) < 0) __PYX_ERR(0, 367, __pyx_L11_error)
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_label, Py_False) < 0) __PYX_ERR(0, 367, __pyx_L11_error)
      __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_10validation_validationPair), __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 367, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_2))) __PYX_ERR(0, 367, __pyx_L11_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    }
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_XDECREF(__pyx_9genexpr26__pyx_v_score); __pyx_9genexpr26__pyx_v_score = 0;
    goto __pyx_L14_exit_scope;
    __pyx_L11_error:;
    __Pyx_XDECREF(__pyx_9genexpr26__pyx_v_score); __pyx_9genexpr26__pyx_v_score = 0;
    goto __pyx_L1_error;
    __pyx_L14_exit_scope:;
  } /* exit inner scope */
  __pyx_v_vNeg = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":368
 * 		vPos = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]
 * 		vNeg = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		return getConfusionMatrix(vPos, vNeg, threshold = self.threshold)             # <<<<<<<<<<<<<<
 * 
 * 	# Generates a Receiver Operating Characteristic curve.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_getConfusionMatrix); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 368, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_4 = PyTuple_New(2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 368, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_INCREF(__pyx_v_vPos);
  __Pyx_GIVEREF(__pyx_v_vPos);
  PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_v_vPos);
  __Pyx_INCREF(__pyx_v_vNeg);
  __Pyx_GIVEREF(__pyx_v_vNeg);
  PyTuple_SET_ITEM(__pyx_t_4, 1, __pyx_v_vNeg);
  __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 368, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_threshold); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 368, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_threshold, __pyx_t_3) < 0) __PYX_ERR(0, 368, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_4, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 368, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_3;
  __pyx_t_3 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":354
 * 
 * 	# Gets and returns a confusion matrix.
 * 	def getConfusionMatrix(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a confusion matrix for sets of positive and negative sequences.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getConfusionMatrix", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_vPos);
  __Pyx_XDECREF(__pyx_v_vNeg);
  __Pyx_XDECREF(__pyx_9genexpr25__pyx_v_score);
  __Pyx_XDECREF(__pyx_9genexpr26__pyx_v_score);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":371
 * 
 * 	# Generates a Receiver Operating Characteristic curve.
 * 	def getROC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a Receiver Operating Characteristic (ROC) curve for sets of positive and negative sequences.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_17getROC(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_16getROC[] = " Calculates and returns a Receiver Operating Characteristic (ROC) curve for sets of positive and negative sequences.\n\t\t\n\t\t:param positives: Positives.\n\t\t:param negatives: Negatives.\n\t\t\n\t\t:type positives: sequences/sequenceStream\n\t\t:type negatives: sequences/sequenceStream\n\t\t\n\t\t:return: Receiver Operating Characteristic (ROC) curve\n\t\t:rtype: list\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_17getROC = {"getROC", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_17getROC, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_16getROC};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_17getROC(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getROC (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getROC", 1, 3, 3, 1); __PYX_ERR(0, 371, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getROC", 1, 3, 3, 2); __PYX_ERR(0, 371, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getROC") < 0)) __PYX_ERR(0, 371, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getROC", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 371, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getROC", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_16getROC(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_16getROC(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives) {
  PyObject *__pyx_v_vPos = NULL;
  PyObject *__pyx_v_vNeg = NULL;
  PyObject *__pyx_9genexpr27__pyx_v_score = NULL;
  PyObject *__pyx_9genexpr28__pyx_v_score = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  Py_ssize_t __pyx_t_5;
  PyObject *(*__pyx_t_6)(PyObject *);
  int __pyx_t_7;
  __Pyx_RefNannySetupContext("getROC", 0);

  /* "gnocis/models.pyx":383
 * 		:rtype: list
 * 		"""
 * 		vPos = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]             # <<<<<<<<<<<<<<
 * 		vNeg = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		return getROC(vPos, vNeg)
 */
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 383, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 383, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
      __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3);
      if (likely(__pyx_t_4)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
        __Pyx_INCREF(__pyx_t_4);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_3, function);
      }
    }
    __pyx_t_2 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_4, __pyx_v_positives) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_positives);
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 383, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) {
      __pyx_t_3 = __pyx_t_2; __Pyx_INCREF(__pyx_t_3); __pyx_t_5 = 0;
      __pyx_t_6 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 383, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_6 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 383, __pyx_L5_error)
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    for (;;) {
      if (likely(!__pyx_t_6)) {
        if (likely(PyList_CheckExact(__pyx_t_3))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_3)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_2 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_2); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 383, __pyx_L5_error)
          #else
          __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 383, __pyx_L5_error)
          __Pyx_GOTREF(__pyx_t_2);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_3)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_2); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 383, __pyx_L5_error)
          #else
          __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 383, __pyx_L5_error)
          __Pyx_GOTREF(__pyx_t_2);
          #endif
        }
      } else {
        __pyx_t_2 = __pyx_t_6(__pyx_t_3);
        if (unlikely(!__pyx_t_2)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 383, __pyx_L5_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_2);
      }
      __Pyx_XDECREF_SET(__pyx_9genexpr27__pyx_v_score, __pyx_t_2);
      __pyx_t_2 = 0;
      __pyx_t_2 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 383, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_2);
      if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_score, __pyx_9genexpr27__pyx_v_score) < 0) __PYX_ERR(0, 383, __pyx_L5_error)
      if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_label, Py_True) < 0) __PYX_ERR(0, 383, __pyx_L5_error)
      __pyx_t_4 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_10validation_validationPair), __pyx_empty_tuple, __pyx_t_2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 383, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_4))) __PYX_ERR(0, 383, __pyx_L5_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_XDECREF(__pyx_9genexpr27__pyx_v_score); __pyx_9genexpr27__pyx_v_score = 0;
    goto __pyx_L8_exit_scope;
    __pyx_L5_error:;
    __Pyx_XDECREF(__pyx_9genexpr27__pyx_v_score); __pyx_9genexpr27__pyx_v_score = 0;
    goto __pyx_L1_error;
    __pyx_L8_exit_scope:;
  } /* exit inner scope */
  __pyx_v_vPos = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":384
 * 		"""
 * 		vPos = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]
 * 		vNeg = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]             # <<<<<<<<<<<<<<
 * 		return getROC(vPos, vNeg)
 * 
 */
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 384, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 384, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_2 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_2)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    __pyx_t_3 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_2, __pyx_v_negatives) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_v_negatives);
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 384, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (likely(PyList_CheckExact(__pyx_t_3)) || PyTuple_CheckExact(__pyx_t_3)) {
      __pyx_t_4 = __pyx_t_3; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0;
      __pyx_t_6 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 384, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 384, __pyx_L11_error)
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    for (;;) {
      if (likely(!__pyx_t_6)) {
        if (likely(PyList_CheckExact(__pyx_t_4))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_3 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 384, __pyx_L11_error)
          #else
          __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 384, __pyx_L11_error)
          __Pyx_GOTREF(__pyx_t_3);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 384, __pyx_L11_error)
          #else
          __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 384, __pyx_L11_error)
          __Pyx_GOTREF(__pyx_t_3);
          #endif
        }
      } else {
        __pyx_t_3 = __pyx_t_6(__pyx_t_4);
        if (unlikely(!__pyx_t_3)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 384, __pyx_L11_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_3);
      }
      __Pyx_XDECREF_SET(__pyx_9genexpr28__pyx_v_score, __pyx_t_3);
      __pyx_t_3 = 0;
      __pyx_t_3 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 384, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_3);
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_score, __pyx_9genexpr28__pyx_v_score) < 0) __PYX_ERR(0, 384, __pyx_L11_error)
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_label, Py_False) < 0) __PYX_ERR(0, 384, __pyx_L11_error)
      __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_10validation_validationPair), __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 384, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_2))) __PYX_ERR(0, 384, __pyx_L11_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    }
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_XDECREF(__pyx_9genexpr28__pyx_v_score); __pyx_9genexpr28__pyx_v_score = 0;
    goto __pyx_L14_exit_scope;
    __pyx_L11_error:;
    __Pyx_XDECREF(__pyx_9genexpr28__pyx_v_score); __pyx_9genexpr28__pyx_v_score = 0;
    goto __pyx_L1_error;
    __pyx_L14_exit_scope:;
  } /* exit inner scope */
  __pyx_v_vNeg = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":385
 * 		vPos = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]
 * 		vNeg = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		return getROC(vPos, vNeg)             # <<<<<<<<<<<<<<
 * 
 * 	# Calculates the area under a Receiver Operating Characteristic curve.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_getROC); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 385, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_2 = NULL;
  __pyx_t_7 = 0;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
      __pyx_t_7 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_2, __pyx_v_vPos, __pyx_v_vNeg};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 385, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_2, __pyx_v_vPos, __pyx_v_vNeg};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 385, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else
  #endif
  {
    __pyx_t_3 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 385, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    if (__pyx_t_2) {
      __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_2); __pyx_t_2 = NULL;
    }
    __Pyx_INCREF(__pyx_v_vPos);
    __Pyx_GIVEREF(__pyx_v_vPos);
    PyTuple_SET_ITEM(__pyx_t_3, 0+__pyx_t_7, __pyx_v_vPos);
    __Pyx_INCREF(__pyx_v_vNeg);
    __Pyx_GIVEREF(__pyx_v_vNeg);
    PyTuple_SET_ITEM(__pyx_t_3, 1+__pyx_t_7, __pyx_v_vNeg);
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_3, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 385, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":371
 * 
 * 	# Generates a Receiver Operating Characteristic curve.
 * 	def getROC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a Receiver Operating Characteristic (ROC) curve for sets of positive and negative sequences.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getROC", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_vPos);
  __Pyx_XDECREF(__pyx_v_vNeg);
  __Pyx_XDECREF(__pyx_9genexpr27__pyx_v_score);
  __Pyx_XDECREF(__pyx_9genexpr28__pyx_v_score);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":388
 * 
 * 	# Calculates the area under a Receiver Operating Characteristic curve.
 * 	def getROCAUC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns the area under a Receiver Operating Characteristic (ROCAUC) curve for sets of positive and negative sequences.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_19getROCAUC(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_18getROCAUC[] = " Calculates and returns the area under a Receiver Operating Characteristic (ROCAUC) curve for sets of positive and negative sequences.\n\t\t\n\t\t:param positives: Positives.\n\t\t:param negatives: Negatives.\n\t\t\n\t\t:type positives: sequences/sequenceStream\n\t\t:type negatives: sequences/sequenceStream\n\t\t\n\t\t:return: Area under the Receiver Operating Characteristic (ROCAUC) curve\n\t\t:rtype: list\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_19getROCAUC = {"getROCAUC", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_19getROCAUC, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_18getROCAUC};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_19getROCAUC(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getROCAUC (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getROCAUC", 1, 3, 3, 1); __PYX_ERR(0, 388, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getROCAUC", 1, 3, 3, 2); __PYX_ERR(0, 388, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getROCAUC") < 0)) __PYX_ERR(0, 388, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getROCAUC", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 388, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getROCAUC", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_18getROCAUC(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_18getROCAUC(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  __Pyx_RefNannySetupContext("getROCAUC", 0);

  /* "gnocis/models.pyx":400
 * 		:rtype: list
 * 		"""
 * 		return getAUC(self.getROC(positives, negatives))             # <<<<<<<<<<<<<<
 * 
 * 	# Generates a Precision/Recall curve.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_getAUC); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 400, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getROC); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 400, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 400, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 400, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 400, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_5) {
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_5); __pyx_t_5 = NULL;
    }
    __Pyx_INCREF(__pyx_v_positives);
    __Pyx_GIVEREF(__pyx_v_positives);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_v_positives);
    __Pyx_INCREF(__pyx_v_negatives);
    __Pyx_GIVEREF(__pyx_v_negatives);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_v_negatives);
    __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 400, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  __pyx_t_1 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_4, __pyx_t_3) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 400, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":388
 * 
 * 	# Calculates the area under a Receiver Operating Characteristic curve.
 * 	def getROCAUC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns the area under a Receiver Operating Characteristic (ROCAUC) curve for sets of positive and negative sequences.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getROCAUC", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":403
 * 
 * 	# Generates a Precision/Recall curve.
 * 	def getPRC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a Precision/Recall curve (PRC) for sets of positive and negative sequences.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_21getPRC(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_20getPRC[] = " Calculates and returns a Precision/Recall curve (PRC) for sets of positive and negative sequences.\n\t\t\n\t\t:param positives: Positives.\n\t\t:param negatives: Negatives.\n\t\t\n\t\t:type positives: sequences/sequenceStream\n\t\t:type negatives: sequences/sequenceStream\n\t\t\n\t\t:return: Precision/Recall curve (PRC)\n\t\t:rtype: list\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_21getPRC = {"getPRC", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_21getPRC, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_20getPRC};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_21getPRC(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getPRC (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getPRC", 1, 3, 3, 1); __PYX_ERR(0, 403, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getPRC", 1, 3, 3, 2); __PYX_ERR(0, 403, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getPRC") < 0)) __PYX_ERR(0, 403, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getPRC", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 403, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getPRC", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_20getPRC(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_20getPRC(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives) {
  PyObject *__pyx_v_vPos = NULL;
  PyObject *__pyx_v_vNeg = NULL;
  PyObject *__pyx_9genexpr29__pyx_v_score = NULL;
  PyObject *__pyx_9genexpr30__pyx_v_score = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  Py_ssize_t __pyx_t_5;
  PyObject *(*__pyx_t_6)(PyObject *);
  int __pyx_t_7;
  __Pyx_RefNannySetupContext("getPRC", 0);

  /* "gnocis/models.pyx":415
 * 		:rtype: list
 * 		"""
 * 		vPos = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]             # <<<<<<<<<<<<<<
 * 		vNeg = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		return getPRC(vPos, vNeg)
 */
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 415, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 415, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
      __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3);
      if (likely(__pyx_t_4)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
        __Pyx_INCREF(__pyx_t_4);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_3, function);
      }
    }
    __pyx_t_2 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_4, __pyx_v_positives) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_positives);
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 415, __pyx_L5_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) {
      __pyx_t_3 = __pyx_t_2; __Pyx_INCREF(__pyx_t_3); __pyx_t_5 = 0;
      __pyx_t_6 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_3 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 415, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_6 = Py_TYPE(__pyx_t_3)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 415, __pyx_L5_error)
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    for (;;) {
      if (likely(!__pyx_t_6)) {
        if (likely(PyList_CheckExact(__pyx_t_3))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_3)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_2 = PyList_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_2); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 415, __pyx_L5_error)
          #else
          __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 415, __pyx_L5_error)
          __Pyx_GOTREF(__pyx_t_2);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_3)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_3, __pyx_t_5); __Pyx_INCREF(__pyx_t_2); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 415, __pyx_L5_error)
          #else
          __pyx_t_2 = PySequence_ITEM(__pyx_t_3, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 415, __pyx_L5_error)
          __Pyx_GOTREF(__pyx_t_2);
          #endif
        }
      } else {
        __pyx_t_2 = __pyx_t_6(__pyx_t_3);
        if (unlikely(!__pyx_t_2)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 415, __pyx_L5_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_2);
      }
      __Pyx_XDECREF_SET(__pyx_9genexpr29__pyx_v_score, __pyx_t_2);
      __pyx_t_2 = 0;
      __pyx_t_2 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 415, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_2);
      if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_score, __pyx_9genexpr29__pyx_v_score) < 0) __PYX_ERR(0, 415, __pyx_L5_error)
      if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_label, Py_True) < 0) __PYX_ERR(0, 415, __pyx_L5_error)
      __pyx_t_4 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_10validation_validationPair), __pyx_empty_tuple, __pyx_t_2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 415, __pyx_L5_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_4))) __PYX_ERR(0, 415, __pyx_L5_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_XDECREF(__pyx_9genexpr29__pyx_v_score); __pyx_9genexpr29__pyx_v_score = 0;
    goto __pyx_L8_exit_scope;
    __pyx_L5_error:;
    __Pyx_XDECREF(__pyx_9genexpr29__pyx_v_score); __pyx_9genexpr29__pyx_v_score = 0;
    goto __pyx_L1_error;
    __pyx_L8_exit_scope:;
  } /* exit inner scope */
  __pyx_v_vPos = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":416
 * 		"""
 * 		vPos = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]
 * 		vNeg = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]             # <<<<<<<<<<<<<<
 * 		return getPRC(vPos, vNeg)
 * 
 */
  { /* enter inner scope */
    __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 416, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 416, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_2 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_2)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    __pyx_t_3 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_2, __pyx_v_negatives) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_v_negatives);
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 416, __pyx_L11_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (likely(PyList_CheckExact(__pyx_t_3)) || PyTuple_CheckExact(__pyx_t_3)) {
      __pyx_t_4 = __pyx_t_3; __Pyx_INCREF(__pyx_t_4); __pyx_t_5 = 0;
      __pyx_t_6 = NULL;
    } else {
      __pyx_t_5 = -1; __pyx_t_4 = PyObject_GetIter(__pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 416, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_6 = Py_TYPE(__pyx_t_4)->tp_iternext; if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 416, __pyx_L11_error)
    }
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    for (;;) {
      if (likely(!__pyx_t_6)) {
        if (likely(PyList_CheckExact(__pyx_t_4))) {
          if (__pyx_t_5 >= PyList_GET_SIZE(__pyx_t_4)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_3 = PyList_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 416, __pyx_L11_error)
          #else
          __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 416, __pyx_L11_error)
          __Pyx_GOTREF(__pyx_t_3);
          #endif
        } else {
          if (__pyx_t_5 >= PyTuple_GET_SIZE(__pyx_t_4)) break;
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_4, __pyx_t_5); __Pyx_INCREF(__pyx_t_3); __pyx_t_5++; if (unlikely(0 < 0)) __PYX_ERR(0, 416, __pyx_L11_error)
          #else
          __pyx_t_3 = PySequence_ITEM(__pyx_t_4, __pyx_t_5); __pyx_t_5++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 416, __pyx_L11_error)
          __Pyx_GOTREF(__pyx_t_3);
          #endif
        }
      } else {
        __pyx_t_3 = __pyx_t_6(__pyx_t_4);
        if (unlikely(!__pyx_t_3)) {
          PyObject* exc_type = PyErr_Occurred();
          if (exc_type) {
            if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
            else __PYX_ERR(0, 416, __pyx_L11_error)
          }
          break;
        }
        __Pyx_GOTREF(__pyx_t_3);
      }
      __Pyx_XDECREF_SET(__pyx_9genexpr30__pyx_v_score, __pyx_t_3);
      __pyx_t_3 = 0;
      __pyx_t_3 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 416, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_3);
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_score, __pyx_9genexpr30__pyx_v_score) < 0) __PYX_ERR(0, 416, __pyx_L11_error)
      if (PyDict_SetItem(__pyx_t_3, __pyx_n_s_label, Py_False) < 0) __PYX_ERR(0, 416, __pyx_L11_error)
      __pyx_t_2 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_10validation_validationPair), __pyx_empty_tuple, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 416, __pyx_L11_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (unlikely(__Pyx_ListComp_Append(__pyx_t_1, (PyObject*)__pyx_t_2))) __PYX_ERR(0, 416, __pyx_L11_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    }
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_XDECREF(__pyx_9genexpr30__pyx_v_score); __pyx_9genexpr30__pyx_v_score = 0;
    goto __pyx_L14_exit_scope;
    __pyx_L11_error:;
    __Pyx_XDECREF(__pyx_9genexpr30__pyx_v_score); __pyx_9genexpr30__pyx_v_score = 0;
    goto __pyx_L1_error;
    __pyx_L14_exit_scope:;
  } /* exit inner scope */
  __pyx_v_vNeg = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":417
 * 		vPos = [ validationPair(score = score, label = True) for score in self.getSequenceScores(positives) ]
 * 		vNeg = [ validationPair(score = score, label = False) for score in self.getSequenceScores(negatives) ]
 * 		return getPRC(vPos, vNeg)             # <<<<<<<<<<<<<<
 * 
 * 	# Calculates the area under a Precision/Recall Curve.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_getPRC); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 417, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_2 = NULL;
  __pyx_t_7 = 0;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
      __pyx_t_7 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_2, __pyx_v_vPos, __pyx_v_vNeg};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 417, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_2, __pyx_v_vPos, __pyx_v_vNeg};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_7, 2+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 417, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else
  #endif
  {
    __pyx_t_3 = PyTuple_New(2+__pyx_t_7); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 417, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    if (__pyx_t_2) {
      __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_2); __pyx_t_2 = NULL;
    }
    __Pyx_INCREF(__pyx_v_vPos);
    __Pyx_GIVEREF(__pyx_v_vPos);
    PyTuple_SET_ITEM(__pyx_t_3, 0+__pyx_t_7, __pyx_v_vPos);
    __Pyx_INCREF(__pyx_v_vNeg);
    __Pyx_GIVEREF(__pyx_v_vNeg);
    PyTuple_SET_ITEM(__pyx_t_3, 1+__pyx_t_7, __pyx_v_vNeg);
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_3, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 417, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":403
 * 
 * 	# Generates a Precision/Recall curve.
 * 	def getPRC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a Precision/Recall curve (PRC) for sets of positive and negative sequences.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getPRC", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_vPos);
  __Pyx_XDECREF(__pyx_v_vNeg);
  __Pyx_XDECREF(__pyx_9genexpr29__pyx_v_score);
  __Pyx_XDECREF(__pyx_9genexpr30__pyx_v_score);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":420
 * 
 * 	# Calculates the area under a Precision/Recall Curve.
 * 	def getPRCAUC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns the area under a Precision/Recall curve (PRCAUC) for sets of positive and negative sequences.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_23getPRCAUC(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_22getPRCAUC[] = " Calculates and returns the area under a Precision/Recall curve (PRCAUC) for sets of positive and negative sequences.\n\t\t\n\t\t:param positives: Positives.\n\t\t:param negatives: Negatives.\n\t\t\n\t\t:type positives: sequences/sequenceStream\n\t\t:type negatives: sequences/sequenceStream\n\t\t\n\t\t:return: Area under the Precision/Recall curve (PRCAUC)\n\t\t:rtype: list\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_23getPRCAUC = {"getPRCAUC", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_23getPRCAUC, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_22getPRCAUC};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_23getPRCAUC(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getPRCAUC (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getPRCAUC", 1, 3, 3, 1); __PYX_ERR(0, 420, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getPRCAUC", 1, 3, 3, 2); __PYX_ERR(0, 420, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getPRCAUC") < 0)) __PYX_ERR(0, 420, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getPRCAUC", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 420, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getPRCAUC", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_22getPRCAUC(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_22getPRCAUC(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  __Pyx_RefNannySetupContext("getPRCAUC", 0);

  /* "gnocis/models.pyx":432
 * 		:rtype: list
 * 		"""
 * 		return getAUC(self.getPRC(positives, negatives))             # <<<<<<<<<<<<<<
 * 
 * 	# Returns validation statistics dictionary.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_getAUC); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 432, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getPRC); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 432, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 432, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 432, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 432, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_5) {
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_5); __pyx_t_5 = NULL;
    }
    __Pyx_INCREF(__pyx_v_positives);
    __Pyx_GIVEREF(__pyx_v_positives);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_v_positives);
    __Pyx_INCREF(__pyx_v_negatives);
    __Pyx_GIVEREF(__pyx_v_negatives);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_v_negatives);
    __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 432, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  __pyx_t_1 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_4, __pyx_t_3) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 432, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":420
 * 
 * 	# Calculates the area under a Precision/Recall Curve.
 * 	def getPRCAUC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns the area under a Precision/Recall curve (PRCAUC) for sets of positive and negative sequences.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getPRCAUC", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":435
 * 
 * 	# Returns validation statistics dictionary.
 * 	def getValidationStatistics(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Returns common model validation statistics (confusion matrix values; ROCAUC; PRCAUC).
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_25getValidationStatistics(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_24getValidationStatistics[] = " Returns common model validation statistics (confusion matrix values; ROCAUC; PRCAUC).\n\t\t\n\t\t:param positives: Positives.\n\t\t:param negatives: Negatives.\n\t\t\n\t\t:type positives: sequences/sequenceStream\n\t\t:type negatives: sequences/sequenceStream\n\t\t\n\t\t:return: Validation statistics\n\t\t:rtype: list\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_25getValidationStatistics = {"getValidationStatistics", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_25getValidationStatistics, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_24getValidationStatistics};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_25getValidationStatistics(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getValidationStatistics (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getValidationStatistics", 1, 3, 3, 1); __PYX_ERR(0, 435, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getValidationStatistics", 1, 3, 3, 2); __PYX_ERR(0, 435, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getValidationStatistics") < 0)) __PYX_ERR(0, 435, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getValidationStatistics", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 435, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getValidationStatistics", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_24getValidationStatistics(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_24getValidationStatistics(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives) {
  PyObject *__pyx_v_CMStats = NULL;
  PyObject *__pyx_v_stats = NULL;
  PyObject *__pyx_v_k = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  Py_ssize_t __pyx_t_8;
  Py_ssize_t __pyx_t_9;
  int __pyx_t_10;
  __Pyx_RefNannySetupContext("getValidationStatistics", 0);

  /* "gnocis/models.pyx":447
 * 		:rtype: list
 * 		"""
 * 		CMStats = getConfusionMatrixStatistics( self.getConfusionMatrix(positives, negatives) )             # <<<<<<<<<<<<<<
 * 		stats = {
 * 			'title': 'Validation', 'positives': positives, 'negatives': negatives, 'model': self,
 */
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_getConfusionMatrixStatistics); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 447, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getConfusionMatrix); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 447, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 447, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 447, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 447, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_5) {
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_5); __pyx_t_5 = NULL;
    }
    __Pyx_INCREF(__pyx_v_positives);
    __Pyx_GIVEREF(__pyx_v_positives);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_v_positives);
    __Pyx_INCREF(__pyx_v_negatives);
    __Pyx_GIVEREF(__pyx_v_negatives);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_v_negatives);
    __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 447, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  __pyx_t_1 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_4, __pyx_t_3) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 447, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_v_CMStats = __pyx_t_1;
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":449
 * 		CMStats = getConfusionMatrixStatistics( self.getConfusionMatrix(positives, negatives) )
 * 		stats = {
 * 			'title': 'Validation', 'positives': positives, 'negatives': negatives, 'model': self,             # <<<<<<<<<<<<<<
 * 			'ROC AUC': self.getROCAUC(positives, negatives),
 * 			'PRC AUC': self.getPRCAUC(positives, negatives),
 */
  __pyx_t_1 = __Pyx_PyDict_NewPresized(6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 449, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_title, __pyx_n_u_Validation) < 0) __PYX_ERR(0, 449, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_positives, __pyx_v_positives) < 0) __PYX_ERR(0, 449, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_negatives, __pyx_v_negatives) < 0) __PYX_ERR(0, 449, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_model, __pyx_v_self) < 0) __PYX_ERR(0, 449, __pyx_L1_error)

  /* "gnocis/models.pyx":450
 * 		stats = {
 * 			'title': 'Validation', 'positives': positives, 'negatives': negatives, 'model': self,
 * 			'ROC AUC': self.getROCAUC(positives, negatives),             # <<<<<<<<<<<<<<
 * 			'PRC AUC': self.getPRCAUC(positives, negatives),
 * 		}
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getROCAUC); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 450, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_4 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_3, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_3)) {
    PyObject *__pyx_temp[3] = {__pyx_t_4, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 450, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
    PyObject *__pyx_temp[3] = {__pyx_t_4, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 450, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 450, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_4) {
      __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_4); __pyx_t_4 = NULL;
    }
    __Pyx_INCREF(__pyx_v_positives);
    __Pyx_GIVEREF(__pyx_v_positives);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_v_positives);
    __Pyx_INCREF(__pyx_v_negatives);
    __Pyx_GIVEREF(__pyx_v_negatives);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_v_negatives);
    __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_7, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 450, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (PyDict_SetItem(__pyx_t_1, __pyx_kp_u_ROC_AUC, __pyx_t_2) < 0) __PYX_ERR(0, 449, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":451
 * 			'title': 'Validation', 'positives': positives, 'negatives': negatives, 'model': self,
 * 			'ROC AUC': self.getROCAUC(positives, negatives),
 * 			'PRC AUC': self.getPRCAUC(positives, negatives),             # <<<<<<<<<<<<<<
 * 		}
 * 		for k in CMStats.keys():
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getPRCAUC); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 451, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_7 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
    __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_3);
    if (likely(__pyx_t_7)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
      __Pyx_INCREF(__pyx_t_7);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_3, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_3)) {
    PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 451, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
    PyObject *__pyx_temp[3] = {__pyx_t_7, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 451, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else
  #endif
  {
    __pyx_t_4 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 451, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    if (__pyx_t_7) {
      __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_7); __pyx_t_7 = NULL;
    }
    __Pyx_INCREF(__pyx_v_positives);
    __Pyx_GIVEREF(__pyx_v_positives);
    PyTuple_SET_ITEM(__pyx_t_4, 0+__pyx_t_6, __pyx_v_positives);
    __Pyx_INCREF(__pyx_v_negatives);
    __Pyx_GIVEREF(__pyx_v_negatives);
    PyTuple_SET_ITEM(__pyx_t_4, 1+__pyx_t_6, __pyx_v_negatives);
    __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_4, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 451, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  }
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (PyDict_SetItem(__pyx_t_1, __pyx_kp_u_PRC_AUC, __pyx_t_2) < 0) __PYX_ERR(0, 449, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_v_stats = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":453
 * 			'PRC AUC': self.getPRCAUC(positives, negatives),
 * 		}
 * 		for k in CMStats.keys():             # <<<<<<<<<<<<<<
 * 			stats[k] = CMStats[k]
 * 		return stats
 */
  __pyx_t_8 = 0;
  if (unlikely(__pyx_v_CMStats == Py_None)) {
    PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "keys");
    __PYX_ERR(0, 453, __pyx_L1_error)
  }
  __pyx_t_2 = __Pyx_dict_iterator(__pyx_v_CMStats, 0, __pyx_n_s_keys, (&__pyx_t_9), (&__pyx_t_6)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 453, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_1);
  __pyx_t_1 = __pyx_t_2;
  __pyx_t_2 = 0;
  while (1) {
    __pyx_t_10 = __Pyx_dict_iter_next(__pyx_t_1, __pyx_t_9, &__pyx_t_8, &__pyx_t_2, NULL, NULL, __pyx_t_6);
    if (unlikely(__pyx_t_10 == 0)) break;
    if (unlikely(__pyx_t_10 == -1)) __PYX_ERR(0, 453, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_XDECREF_SET(__pyx_v_k, __pyx_t_2);
    __pyx_t_2 = 0;

    /* "gnocis/models.pyx":454
 * 		}
 * 		for k in CMStats.keys():
 * 			stats[k] = CMStats[k]             # <<<<<<<<<<<<<<
 * 		return stats
 * 
 */
    __pyx_t_2 = __Pyx_PyObject_GetItem(__pyx_v_CMStats, __pyx_v_k); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 454, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    if (unlikely(PyDict_SetItem(__pyx_v_stats, __pyx_v_k, __pyx_t_2) < 0)) __PYX_ERR(0, 454, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":455
 * 		for k in CMStats.keys():
 * 			stats[k] = CMStats[k]
 * 		return stats             # <<<<<<<<<<<<<<
 * 
 * 	# Returns cross-validation statistics dictionary, with random training set splitting and training and testing on independent halves.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(__pyx_v_stats);
  __pyx_r = __pyx_v_stats;
  goto __pyx_L0;

  /* "gnocis/models.pyx":435
 * 
 * 	# Returns validation statistics dictionary.
 * 	def getValidationStatistics(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Returns common model validation statistics (confusion matrix values; ROCAUC; PRCAUC).
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getValidationStatistics", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_CMStats);
  __Pyx_XDECREF(__pyx_v_stats);
  __Pyx_XDECREF(__pyx_v_k);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":458
 * 
 * 	# Returns cross-validation statistics dictionary, with random training set splitting and training and testing on independent halves.
 * 	def getCrossValidationStatisticsRandomHalves(self, positives, negatives, nfolds):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_27getCrossValidationStatisticsRandomHalves(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_27getCrossValidationStatisticsRandomHalves = {"getCrossValidationStatisticsRandomHalves", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_27getCrossValidationStatisticsRandomHalves, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_27getCrossValidationStatisticsRandomHalves(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_v_nfolds = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getCrossValidationStatisticsRandomHalves (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,&__pyx_n_s_nfolds,0};
    PyObject* values[4] = {0,0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getCrossValidationStatisticsRandomHalves", 1, 4, 4, 1); __PYX_ERR(0, 458, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getCrossValidationStatisticsRandomHalves", 1, 4, 4, 2); __PYX_ERR(0, 458, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_nfolds)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getCrossValidationStatisticsRandomHalves", 1, 4, 4, 3); __PYX_ERR(0, 458, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getCrossValidationStatisticsRandomHalves") < 0)) __PYX_ERR(0, 458, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 4) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
      values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
    __pyx_v_nfolds = values[3];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getCrossValidationStatisticsRandomHalves", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 458, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getCrossValidationStatisticsRandomHalves", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_26getCrossValidationStatisticsRandomHalves(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives, __pyx_v_nfolds);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_13sequenceModel_40getCrossValidationStatisticsRandomHalves_2generator9(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":477
 * 				foldStats[-1][k] = CMStats[k]
 * 		for stat in foldStats[0].keys():
 * 			stats[stat] = sum(v[stat] for v in foldStats) / nfolds             # <<<<<<<<<<<<<<
 * 		return stats
 * 
 */

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_40getCrossValidationStatisticsRandomHalves_genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_16_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_16_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 477, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_13sequenceModel_40getCrossValidationStatisticsRandomHalves_2generator9, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_sequenceModel_getCrossValidation, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 477, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getCrossValidationStatisticsRandomHalves.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_13sequenceModel_40getCrossValidationStatisticsRandomHalves_2generator9(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  PyObject *__pyx_t_3 = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    case 1: goto __pyx_L6_resume_from_yield;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 477, __pyx_L1_error)
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_foldStats)) { __Pyx_RaiseClosureNameError("foldStats"); __PYX_ERR(0, 477, __pyx_L1_error) }
  if (unlikely(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_foldStats == Py_None)) {
    PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
    __PYX_ERR(0, 477, __pyx_L1_error)
  }
  __pyx_t_1 = __pyx_cur_scope->__pyx_outer_scope->__pyx_v_foldStats; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
  for (;;) {
    if (__pyx_t_2 >= PyList_GET_SIZE(__pyx_t_1)) break;
    #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    __pyx_t_3 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_3); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 477, __pyx_L1_error)
    #else
    __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 477, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    #endif
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_v);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_v, __pyx_t_3);
    __Pyx_GIVEREF(__pyx_t_3);
    __pyx_t_3 = 0;
    if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_stat)) { __Pyx_RaiseClosureNameError("stat"); __PYX_ERR(0, 477, __pyx_L1_error) }
    __pyx_t_3 = __Pyx_PyObject_GetItem(__pyx_cur_scope->__pyx_v_v, __pyx_cur_scope->__pyx_outer_scope->__pyx_v_stat); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 477, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_r = __pyx_t_3;
    __pyx_t_3 = 0;
    __Pyx_XGIVEREF(__pyx_t_1);
    __pyx_cur_scope->__pyx_t_0 = __pyx_t_1;
    __pyx_cur_scope->__pyx_t_1 = __pyx_t_2;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
    /* return from generator, yielding value */
    __pyx_generator->resume_label = 1;
    return __pyx_r;
    __pyx_L6_resume_from_yield:;
    __pyx_t_1 = __pyx_cur_scope->__pyx_t_0;
    __pyx_cur_scope->__pyx_t_0 = 0;
    __Pyx_XGOTREF(__pyx_t_1);
    __pyx_t_2 = __pyx_cur_scope->__pyx_t_1;
    if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 477, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* function exit code */
  PyErr_SetNone(PyExc_StopIteration);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":458
 * 
 * 	# Returns cross-validation statistics dictionary, with random training set splitting and training and testing on independent halves.
 * 	def getCrossValidationStatisticsRandomHalves(self, positives, negatives, nfolds):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_26getCrossValidationStatisticsRandomHalves(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives, PyObject *__pyx_v_nfolds) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *__pyx_cur_scope;
  PyObject *__pyx_v_cpos = NULL;
  PyObject *__pyx_v_cneg = NULL;
  PyObject *__pyx_v_npos = NULL;
  PyObject *__pyx_v_nneg = NULL;
  PyObject *__pyx_v_stats = NULL;
  CYTHON_UNUSED PyObject *__pyx_v_i = NULL;
  PyObject *__pyx_v_tpos = NULL;
  PyObject *__pyx_v_tneg = NULL;
  PyObject *__pyx_v_vpos = NULL;
  PyObject *__pyx_v_vneg = NULL;
  PyObject *__pyx_v_cvmdl = NULL;
  PyObject *__pyx_v_CMStats = NULL;
  PyObject *__pyx_v_k = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  Py_ssize_t __pyx_t_3;
  PyObject *(*__pyx_t_4)(PyObject *);
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  int __pyx_t_8;
  PyObject *__pyx_t_9 = NULL;
  int __pyx_t_10;
  PyObject *__pyx_t_11 = NULL;
  Py_ssize_t __pyx_t_12;
  Py_ssize_t __pyx_t_13;
  int __pyx_t_14;
  __Pyx_RefNannySetupContext("getCrossValidationStatisticsRandomHalves", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves(__pyx_ptype_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 458, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }

  /* "gnocis/models.pyx":459
 * 	# Returns cross-validation statistics dictionary, with random training set splitting and training and testing on independent halves.
 * 	def getCrossValidationStatisticsRandomHalves(self, positives, negatives, nfolds):
 * 		cpos, cneg = positives[:], negatives[:]             # <<<<<<<<<<<<<<
 * 		npos, nneg = len(positives), len(negatives)
 * 		stats = { 'title': 'Cross-validation (random halves, %d folds)'%nfolds, 'positives': positives, 'negatives': negatives, 'model': self }
 */
  __pyx_t_1 = __Pyx_PyObject_GetSlice(__pyx_v_positives, 0, 0, NULL, NULL, &__pyx_slice__4, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 459, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyObject_GetSlice(__pyx_v_negatives, 0, 0, NULL, NULL, &__pyx_slice__4, 0, 0, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 459, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_v_cpos = __pyx_t_1;
  __pyx_t_1 = 0;
  __pyx_v_cneg = __pyx_t_2;
  __pyx_t_2 = 0;

  /* "gnocis/models.pyx":460
 * 	def getCrossValidationStatisticsRandomHalves(self, positives, negatives, nfolds):
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)             # <<<<<<<<<<<<<<
 * 		stats = { 'title': 'Cross-validation (random halves, %d folds)'%nfolds, 'positives': positives, 'negatives': negatives, 'model': self }
 * 		foldStats = []
 */
  __pyx_t_3 = PyObject_Length(__pyx_v_positives); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 460, __pyx_L1_error)
  __pyx_t_2 = PyInt_FromSsize_t(__pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 460, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = PyObject_Length(__pyx_v_negatives); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 460, __pyx_L1_error)
  __pyx_t_1 = PyInt_FromSsize_t(__pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 460, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_npos = __pyx_t_2;
  __pyx_t_2 = 0;
  __pyx_v_nneg = __pyx_t_1;
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":461
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 * 		stats = { 'title': 'Cross-validation (random halves, %d folds)'%nfolds, 'positives': positives, 'negatives': negatives, 'model': self }             # <<<<<<<<<<<<<<
 * 		foldStats = []
 * 		for i in range(nfolds):
 */
  __pyx_t_1 = __Pyx_PyDict_NewPresized(4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 461, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyUnicode_FormatSafe(__pyx_kp_u_Cross_validation_random_halves_d, __pyx_v_nfolds); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 461, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_title, __pyx_t_2) < 0) __PYX_ERR(0, 461, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_positives, __pyx_v_positives) < 0) __PYX_ERR(0, 461, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_negatives, __pyx_v_negatives) < 0) __PYX_ERR(0, 461, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_model, __pyx_v_self) < 0) __PYX_ERR(0, 461, __pyx_L1_error)
  __pyx_v_stats = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":462
 * 		npos, nneg = len(positives), len(negatives)
 * 		stats = { 'title': 'Cross-validation (random halves, %d folds)'%nfolds, 'positives': positives, 'negatives': negatives, 'model': self }
 * 		foldStats = []             # <<<<<<<<<<<<<<
 * 		for i in range(nfolds):
 * 			random.shuffle(cpos)
 */
  __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 462, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_GIVEREF(__pyx_t_1);
  __pyx_cur_scope->__pyx_v_foldStats = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":463
 * 		stats = { 'title': 'Cross-validation (random halves, %d folds)'%nfolds, 'positives': positives, 'negatives': negatives, 'model': self }
 * 		foldStats = []
 * 		for i in range(nfolds):             # <<<<<<<<<<<<<<
 * 			random.shuffle(cpos)
 * 			random.shuffle(cneg)
 */
  __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_range, __pyx_v_nfolds); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 463, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (likely(PyList_CheckExact(__pyx_t_1)) || PyTuple_CheckExact(__pyx_t_1)) {
    __pyx_t_2 = __pyx_t_1; __Pyx_INCREF(__pyx_t_2); __pyx_t_3 = 0;
    __pyx_t_4 = NULL;
  } else {
    __pyx_t_3 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 463, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_4 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 463, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  for (;;) {
    if (likely(!__pyx_t_4)) {
      if (likely(PyList_CheckExact(__pyx_t_2))) {
        if (__pyx_t_3 >= PyList_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_1); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(0, 463, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 463, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      } else {
        if (__pyx_t_3 >= PyTuple_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_3); __Pyx_INCREF(__pyx_t_1); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(0, 463, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 463, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      }
    } else {
      __pyx_t_1 = __pyx_t_4(__pyx_t_2);
      if (unlikely(!__pyx_t_1)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 463, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_1);
    }
    __Pyx_XDECREF_SET(__pyx_v_i, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":464
 * 		foldStats = []
 * 		for i in range(nfolds):
 * 			random.shuffle(cpos)             # <<<<<<<<<<<<<<
 * 			random.shuffle(cneg)
 * 			tpos, tneg = cpos[:int(npos/2)], cneg[:int(nneg/2)]
 */
    __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_random); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 464, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_shuffle); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 464, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_6))) {
      __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_6);
      if (likely(__pyx_t_5)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
        __Pyx_INCREF(__pyx_t_5);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_6, function);
      }
    }
    __pyx_t_1 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_6, __pyx_t_5, __pyx_v_cpos) : __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_v_cpos);
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 464, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":465
 * 		for i in range(nfolds):
 * 			random.shuffle(cpos)
 * 			random.shuffle(cneg)             # <<<<<<<<<<<<<<
 * 			tpos, tneg = cpos[:int(npos/2)], cneg[:int(nneg/2)]
 * 			vpos, vneg = cpos[int(npos/2):], cneg[int(nneg/2):]
 */
    __Pyx_GetModuleGlobalName(__pyx_t_6, __pyx_n_s_random); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 465, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_shuffle); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 465, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __pyx_t_6 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_6, __pyx_v_cneg) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_v_cneg);
    __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
    if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 465, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":466
 * 			random.shuffle(cpos)
 * 			random.shuffle(cneg)
 * 			tpos, tneg = cpos[:int(npos/2)], cneg[:int(nneg/2)]             # <<<<<<<<<<<<<<
 * 			vpos, vneg = cpos[int(npos/2):], cneg[int(nneg/2):]
 * 			cvmdl = self.getCrossValidationConstructor()(tpos, tneg)
 */
    __pyx_t_1 = __Pyx_PyInt_TrueDivideObjC(__pyx_v_npos, __pyx_int_2, 2, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 466, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_5 = __Pyx_PyNumber_Int(__pyx_t_1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 466, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_GetSlice(__pyx_v_cpos, 0, 0, NULL, &__pyx_t_5, NULL, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 466, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __Pyx_PyInt_TrueDivideObjC(__pyx_v_nneg, __pyx_int_2, 2, 0, 0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 466, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_6 = __Pyx_PyNumber_Int(__pyx_t_5); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 466, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __Pyx_PyObject_GetSlice(__pyx_v_cneg, 0, 0, NULL, &__pyx_t_6, NULL, 0, 0, 1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 466, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_XDECREF_SET(__pyx_v_tpos, __pyx_t_1);
    __pyx_t_1 = 0;
    __Pyx_XDECREF_SET(__pyx_v_tneg, __pyx_t_5);
    __pyx_t_5 = 0;

    /* "gnocis/models.pyx":467
 * 			random.shuffle(cneg)
 * 			tpos, tneg = cpos[:int(npos/2)], cneg[:int(nneg/2)]
 * 			vpos, vneg = cpos[int(npos/2):], cneg[int(nneg/2):]             # <<<<<<<<<<<<<<
 * 			cvmdl = self.getCrossValidationConstructor()(tpos, tneg)
 * 			foldStats.append({
 */
    __pyx_t_5 = __Pyx_PyInt_TrueDivideObjC(__pyx_v_npos, __pyx_int_2, 2, 0, 0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 467, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_1 = __Pyx_PyNumber_Int(__pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 467, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __Pyx_PyObject_GetSlice(__pyx_v_cpos, 0, 0, &__pyx_t_1, NULL, NULL, 0, 0, 1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 467, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyInt_TrueDivideObjC(__pyx_v_nneg, __pyx_int_2, 2, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 467, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_6 = __Pyx_PyNumber_Int(__pyx_t_1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 467, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_GetSlice(__pyx_v_cneg, 0, 0, &__pyx_t_6, NULL, NULL, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 467, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_XDECREF_SET(__pyx_v_vpos, __pyx_t_5);
    __pyx_t_5 = 0;
    __Pyx_XDECREF_SET(__pyx_v_vneg, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":468
 * 			tpos, tneg = cpos[:int(npos/2)], cneg[:int(nneg/2)]
 * 			vpos, vneg = cpos[int(npos/2):], cneg[int(nneg/2):]
 * 			cvmdl = self.getCrossValidationConstructor()(tpos, tneg)             # <<<<<<<<<<<<<<
 * 			foldStats.append({
 * 				'ROC AUC': cvmdl.getROCAUC(vpos, vneg),
 */
    __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getCrossValidationConstructor); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 468, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __pyx_t_7 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) {
      __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_6);
      if (likely(__pyx_t_7)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
        __Pyx_INCREF(__pyx_t_7);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_6, function);
      }
    }
    __pyx_t_5 = (__pyx_t_7) ? __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_7) : __Pyx_PyObject_CallNoArg(__pyx_t_6);
    __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
    if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 468, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __pyx_t_6 = NULL;
    __pyx_t_8 = 0;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
        __pyx_t_8 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_v_tpos, __pyx_v_tneg};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 468, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_v_tpos, __pyx_v_tneg};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 468, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    {
      __pyx_t_7 = PyTuple_New(2+__pyx_t_8); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 468, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (__pyx_t_6) {
        __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_6); __pyx_t_6 = NULL;
      }
      __Pyx_INCREF(__pyx_v_tpos);
      __Pyx_GIVEREF(__pyx_v_tpos);
      PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_8, __pyx_v_tpos);
      __Pyx_INCREF(__pyx_v_tneg);
      __Pyx_GIVEREF(__pyx_v_tneg);
      PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_8, __pyx_v_tneg);
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 468, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    }
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_XDECREF_SET(__pyx_v_cvmdl, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":470
 * 			cvmdl = self.getCrossValidationConstructor()(tpos, tneg)
 * 			foldStats.append({
 * 				'ROC AUC': cvmdl.getROCAUC(vpos, vneg),             # <<<<<<<<<<<<<<
 * 				'PRC AUC': cvmdl.getPRCAUC(vpos, vneg),
 * 			})
 */
    __pyx_t_1 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 470, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_cvmdl, __pyx_n_s_getROCAUC); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 470, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_6 = NULL;
    __pyx_t_8 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_7);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_7, function);
        __pyx_t_8 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_7)) {
      PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_v_vpos, __pyx_v_vneg};
      __pyx_t_5 = __Pyx_PyFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 470, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_5);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_7)) {
      PyObject *__pyx_temp[3] = {__pyx_t_6, __pyx_v_vpos, __pyx_v_vneg};
      __pyx_t_5 = __Pyx_PyCFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 470, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_5);
    } else
    #endif
    {
      __pyx_t_9 = PyTuple_New(2+__pyx_t_8); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 470, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      if (__pyx_t_6) {
        __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_6); __pyx_t_6 = NULL;
      }
      __Pyx_INCREF(__pyx_v_vpos);
      __Pyx_GIVEREF(__pyx_v_vpos);
      PyTuple_SET_ITEM(__pyx_t_9, 0+__pyx_t_8, __pyx_v_vpos);
      __Pyx_INCREF(__pyx_v_vneg);
      __Pyx_GIVEREF(__pyx_v_vneg);
      PyTuple_SET_ITEM(__pyx_t_9, 1+__pyx_t_8, __pyx_v_vneg);
      __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_9, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 470, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    }
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    if (PyDict_SetItem(__pyx_t_1, __pyx_kp_u_ROC_AUC, __pyx_t_5) < 0) __PYX_ERR(0, 470, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "gnocis/models.pyx":471
 * 			foldStats.append({
 * 				'ROC AUC': cvmdl.getROCAUC(vpos, vneg),
 * 				'PRC AUC': cvmdl.getPRCAUC(vpos, vneg),             # <<<<<<<<<<<<<<
 * 			})
 * 			CMStats = getConfusionMatrixStatistics( cvmdl.getConfusionMatrix(vpos, vneg) )
 */
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_cvmdl, __pyx_n_s_getPRCAUC); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 471, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_9 = NULL;
    __pyx_t_8 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_7);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_7, function);
        __pyx_t_8 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_7)) {
      PyObject *__pyx_temp[3] = {__pyx_t_9, __pyx_v_vpos, __pyx_v_vneg};
      __pyx_t_5 = __Pyx_PyFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 471, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
      __Pyx_GOTREF(__pyx_t_5);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_7)) {
      PyObject *__pyx_temp[3] = {__pyx_t_9, __pyx_v_vpos, __pyx_v_vneg};
      __pyx_t_5 = __Pyx_PyCFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 471, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
      __Pyx_GOTREF(__pyx_t_5);
    } else
    #endif
    {
      __pyx_t_6 = PyTuple_New(2+__pyx_t_8); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 471, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      if (__pyx_t_9) {
        __Pyx_GIVEREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_9); __pyx_t_9 = NULL;
      }
      __Pyx_INCREF(__pyx_v_vpos);
      __Pyx_GIVEREF(__pyx_v_vpos);
      PyTuple_SET_ITEM(__pyx_t_6, 0+__pyx_t_8, __pyx_v_vpos);
      __Pyx_INCREF(__pyx_v_vneg);
      __Pyx_GIVEREF(__pyx_v_vneg);
      PyTuple_SET_ITEM(__pyx_t_6, 1+__pyx_t_8, __pyx_v_vneg);
      __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 471, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    }
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    if (PyDict_SetItem(__pyx_t_1, __pyx_kp_u_PRC_AUC, __pyx_t_5) < 0) __PYX_ERR(0, 470, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "gnocis/models.pyx":469
 * 			vpos, vneg = cpos[int(npos/2):], cneg[int(nneg/2):]
 * 			cvmdl = self.getCrossValidationConstructor()(tpos, tneg)
 * 			foldStats.append({             # <<<<<<<<<<<<<<
 * 				'ROC AUC': cvmdl.getROCAUC(vpos, vneg),
 * 				'PRC AUC': cvmdl.getPRCAUC(vpos, vneg),
 */
    __pyx_t_10 = __Pyx_PyList_Append(__pyx_cur_scope->__pyx_v_foldStats, __pyx_t_1); if (unlikely(__pyx_t_10 == ((int)-1))) __PYX_ERR(0, 469, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":473
 * 				'PRC AUC': cvmdl.getPRCAUC(vpos, vneg),
 * 			})
 * 			CMStats = getConfusionMatrixStatistics( cvmdl.getConfusionMatrix(vpos, vneg) )             # <<<<<<<<<<<<<<
 * 			for k in CMStats.keys():
 * 				foldStats[-1][k] = CMStats[k]
 */
    __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_getConfusionMatrixStatistics); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 473, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_cvmdl, __pyx_n_s_getConfusionMatrix); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 473, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __pyx_t_9 = NULL;
    __pyx_t_8 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_6);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_6, function);
        __pyx_t_8 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_6)) {
      PyObject *__pyx_temp[3] = {__pyx_t_9, __pyx_v_vpos, __pyx_v_vneg};
      __pyx_t_7 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 473, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
      PyObject *__pyx_temp[3] = {__pyx_t_9, __pyx_v_vpos, __pyx_v_vneg};
      __pyx_t_7 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_8, 2+__pyx_t_8); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 473, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    {
      __pyx_t_11 = PyTuple_New(2+__pyx_t_8); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 473, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      if (__pyx_t_9) {
        __Pyx_GIVEREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_9); __pyx_t_9 = NULL;
      }
      __Pyx_INCREF(__pyx_v_vpos);
      __Pyx_GIVEREF(__pyx_v_vpos);
      PyTuple_SET_ITEM(__pyx_t_11, 0+__pyx_t_8, __pyx_v_vpos);
      __Pyx_INCREF(__pyx_v_vneg);
      __Pyx_GIVEREF(__pyx_v_vneg);
      PyTuple_SET_ITEM(__pyx_t_11, 1+__pyx_t_8, __pyx_v_vneg);
      __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_11, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 473, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    }
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __pyx_t_6 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    __pyx_t_1 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_6, __pyx_t_7) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_7);
    __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 473, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_XDECREF_SET(__pyx_v_CMStats, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":474
 * 			})
 * 			CMStats = getConfusionMatrixStatistics( cvmdl.getConfusionMatrix(vpos, vneg) )
 * 			for k in CMStats.keys():             # <<<<<<<<<<<<<<
 * 				foldStats[-1][k] = CMStats[k]
 * 		for stat in foldStats[0].keys():
 */
    __pyx_t_12 = 0;
    if (unlikely(__pyx_v_CMStats == Py_None)) {
      PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "keys");
      __PYX_ERR(0, 474, __pyx_L1_error)
    }
    __pyx_t_5 = __Pyx_dict_iterator(__pyx_v_CMStats, 0, __pyx_n_s_keys, (&__pyx_t_13), (&__pyx_t_8)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 474, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_XDECREF(__pyx_t_1);
    __pyx_t_1 = __pyx_t_5;
    __pyx_t_5 = 0;
    while (1) {
      __pyx_t_14 = __Pyx_dict_iter_next(__pyx_t_1, __pyx_t_13, &__pyx_t_12, &__pyx_t_5, NULL, NULL, __pyx_t_8);
      if (unlikely(__pyx_t_14 == 0)) break;
      if (unlikely(__pyx_t_14 == -1)) __PYX_ERR(0, 474, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_XDECREF_SET(__pyx_v_k, __pyx_t_5);
      __pyx_t_5 = 0;

      /* "gnocis/models.pyx":475
 * 			CMStats = getConfusionMatrixStatistics( cvmdl.getConfusionMatrix(vpos, vneg) )
 * 			for k in CMStats.keys():
 * 				foldStats[-1][k] = CMStats[k]             # <<<<<<<<<<<<<<
 * 		for stat in foldStats[0].keys():
 * 			stats[stat] = sum(v[stat] for v in foldStats) / nfolds
 */
      __pyx_t_5 = __Pyx_PyObject_GetItem(__pyx_v_CMStats, __pyx_v_k); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 475, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __pyx_t_7 = __Pyx_GetItemInt_List(__pyx_cur_scope->__pyx_v_foldStats, -1L, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 475, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (unlikely(PyObject_SetItem(__pyx_t_7, __pyx_v_k, __pyx_t_5) < 0)) __PYX_ERR(0, 475, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    }
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":463
 * 		stats = { 'title': 'Cross-validation (random halves, %d folds)'%nfolds, 'positives': positives, 'negatives': negatives, 'model': self }
 * 		foldStats = []
 * 		for i in range(nfolds):             # <<<<<<<<<<<<<<
 * 			random.shuffle(cpos)
 * 			random.shuffle(cneg)
 */
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":476
 * 			for k in CMStats.keys():
 * 				foldStats[-1][k] = CMStats[k]
 * 		for stat in foldStats[0].keys():             # <<<<<<<<<<<<<<
 * 			stats[stat] = sum(v[stat] for v in foldStats) / nfolds
 * 		return stats
 */
  __pyx_t_3 = 0;
  __pyx_t_1 = __Pyx_GetItemInt_List(__pyx_cur_scope->__pyx_v_foldStats, 0, long, 1, __Pyx_PyInt_From_long, 1, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 476, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (unlikely(__pyx_t_1 == Py_None)) {
    PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "keys");
    __PYX_ERR(0, 476, __pyx_L1_error)
  }
  __pyx_t_5 = __Pyx_dict_iterator(__pyx_t_1, 0, __pyx_n_s_keys, (&__pyx_t_13), (&__pyx_t_8)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 476, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_XDECREF(__pyx_t_2);
  __pyx_t_2 = __pyx_t_5;
  __pyx_t_5 = 0;
  while (1) {
    __pyx_t_14 = __Pyx_dict_iter_next(__pyx_t_2, __pyx_t_13, &__pyx_t_3, &__pyx_t_5, NULL, NULL, __pyx_t_8);
    if (unlikely(__pyx_t_14 == 0)) break;
    if (unlikely(__pyx_t_14 == -1)) __PYX_ERR(0, 476, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_stat);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_stat, __pyx_t_5);
    __Pyx_GIVEREF(__pyx_t_5);
    __pyx_t_5 = 0;

    /* "gnocis/models.pyx":477
 * 				foldStats[-1][k] = CMStats[k]
 * 		for stat in foldStats[0].keys():
 * 			stats[stat] = sum(v[stat] for v in foldStats) / nfolds             # <<<<<<<<<<<<<<
 * 		return stats
 * 
 */
    __pyx_t_5 = __pyx_pf_6gnocis_6models_13sequenceModel_40getCrossValidationStatisticsRandomHalves_genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 477, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 477, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __Pyx_PyNumber_Divide(__pyx_t_1, __pyx_v_nfolds); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 477, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (unlikely(PyDict_SetItem(__pyx_v_stats, __pyx_cur_scope->__pyx_v_stat, __pyx_t_5) < 0)) __PYX_ERR(0, 477, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":478
 * 		for stat in foldStats[0].keys():
 * 			stats[stat] = sum(v[stat] for v in foldStats) / nfolds
 * 		return stats             # <<<<<<<<<<<<<<
 * 
 * 	# Returns cross-validation statistics dictionary, with leaving each training set sequence out and classifying it.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(__pyx_v_stats);
  __pyx_r = __pyx_v_stats;
  goto __pyx_L0;

  /* "gnocis/models.pyx":458
 * 
 * 	# Returns cross-validation statistics dictionary, with random training set splitting and training and testing on independent halves.
 * 	def getCrossValidationStatisticsRandomHalves(self, positives, negatives, nfolds):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_XDECREF(__pyx_t_11);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getCrossValidationStatisticsRandomHalves", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_cpos);
  __Pyx_XDECREF(__pyx_v_cneg);
  __Pyx_XDECREF(__pyx_v_npos);
  __Pyx_XDECREF(__pyx_v_nneg);
  __Pyx_XDECREF(__pyx_v_stats);
  __Pyx_XDECREF(__pyx_v_i);
  __Pyx_XDECREF(__pyx_v_tpos);
  __Pyx_XDECREF(__pyx_v_tneg);
  __Pyx_XDECREF(__pyx_v_vpos);
  __Pyx_XDECREF(__pyx_v_vneg);
  __Pyx_XDECREF(__pyx_v_cvmdl);
  __Pyx_XDECREF(__pyx_v_CMStats);
  __Pyx_XDECREF(__pyx_v_k);
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":481
 * 
 * 	# Returns cross-validation statistics dictionary, with leaving each training set sequence out and classifying it.
 * 	def getCrossValidationStatisticsLOO(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_29getCrossValidationStatisticsLOO(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_29getCrossValidationStatisticsLOO = {"getCrossValidationStatisticsLOO", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_29getCrossValidationStatisticsLOO, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_29getCrossValidationStatisticsLOO(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getCrossValidationStatisticsLOO (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getCrossValidationStatisticsLOO", 1, 3, 3, 1); __PYX_ERR(0, 481, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("getCrossValidationStatisticsLOO", 1, 3, 3, 2); __PYX_ERR(0, 481, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "getCrossValidationStatisticsLOO") < 0)) __PYX_ERR(0, 481, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("getCrossValidationStatisticsLOO", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 481, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getCrossValidationStatisticsLOO", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_28getCrossValidationStatisticsLOO(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":506
 * 		for k in CMStats.keys():
 * 			stats[k] = CMStats[k]
 * 		vPairs = sorted(vPairs, key = lambda x: -x['score'])             # <<<<<<<<<<<<<<
 * 		TP, FP, AUC = 0, 0, 0.0
 * 		ROCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_31getCrossValidationStatisticsLOO_lambda12(PyObject *__pyx_self, PyObject *__pyx_v_x); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_31getCrossValidationStatisticsLOO_lambda12 = {"lambda12", (PyCFunction)__pyx_pw_6gnocis_6models_13sequenceModel_31getCrossValidationStatisticsLOO_lambda12, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_31getCrossValidationStatisticsLOO_lambda12(PyObject *__pyx_self, PyObject *__pyx_v_x) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("lambda12 (wrapper)", 0);
  __pyx_r = __pyx_lambda_funcdef_lambda12(__pyx_self, ((PyObject *)__pyx_v_x));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_lambda_funcdef_lambda12(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_x) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  __Pyx_RefNannySetupContext("lambda12", 0);
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_v_x, __pyx_n_u_score); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 506, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyNumber_Negative(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 506, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_r = __pyx_t_2;
  __pyx_t_2 = 0;
  goto __pyx_L0;

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getCrossValidationStatisticsLOO.lambda12", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":481
 * 
 * 	# Returns cross-validation statistics dictionary, with leaving each training set sequence out and classifying it.
 * 	def getCrossValidationStatisticsLOO(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_28getCrossValidationStatisticsLOO(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives) {
  CYTHON_UNUSED PyObject *__pyx_v_cpos = NULL;
  CYTHON_UNUSED PyObject *__pyx_v_cneg = NULL;
  CYTHON_UNUSED Py_ssize_t __pyx_v_npos;
  CYTHON_UNUSED Py_ssize_t __pyx_v_nneg;
  PyObject *__pyx_v_vPairs = NULL;
  PyObject *__pyx_v_TP = NULL;
  PyObject *__pyx_v_FP = NULL;
  PyObject *__pyx_v_TN = NULL;
  PyObject *__pyx_v_FN = NULL;
  PyObject *__pyx_v_i = NULL;
  CYTHON_UNUSED PyObject *__pyx_v_e = NULL;
  PyObject *__pyx_v_cvmdl = NULL;
  PyObject *__pyx_v_score = NULL;
  PyObject *__pyx_v_stats = NULL;
  PyObject *__pyx_v_CMStats = NULL;
  PyObject *__pyx_v_k = NULL;
  CYTHON_UNUSED double __pyx_v_AUC;
  PyObject *__pyx_v_ROCcurve = NULL;
  PyObject *__pyx_v_PRCcurve = NULL;
  PyObject *__pyx_v_vp = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  Py_ssize_t __pyx_t_3;
  Py_ssize_t __pyx_t_4;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *(*__pyx_t_7)(PyObject *);
  PyObject *__pyx_t_8 = NULL;
  PyObject *__pyx_t_9 = NULL;
  PyObject *__pyx_t_10 = NULL;
  int __pyx_t_11;
  int __pyx_t_12;
  int __pyx_t_13;
  int __pyx_t_14;
  double __pyx_t_15;
  Py_ssize_t __pyx_t_16;
  __Pyx_RefNannySetupContext("getCrossValidationStatisticsLOO", 0);

  /* "gnocis/models.pyx":482
 * 	# Returns cross-validation statistics dictionary, with leaving each training set sequence out and classifying it.
 * 	def getCrossValidationStatisticsLOO(self, positives, negatives):
 * 		cpos, cneg = positives[:], negatives[:]             # <<<<<<<<<<<<<<
 * 		npos, nneg = len(positives), len(negatives)
 * 		vPairs = [  ]
 */
  __pyx_t_1 = __Pyx_PyObject_GetSlice(__pyx_v_positives, 0, 0, NULL, NULL, &__pyx_slice__4, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 482, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyObject_GetSlice(__pyx_v_negatives, 0, 0, NULL, NULL, &__pyx_slice__4, 0, 0, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 482, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_v_cpos = __pyx_t_1;
  __pyx_t_1 = 0;
  __pyx_v_cneg = __pyx_t_2;
  __pyx_t_2 = 0;

  /* "gnocis/models.pyx":483
 * 	def getCrossValidationStatisticsLOO(self, positives, negatives):
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)             # <<<<<<<<<<<<<<
 * 		vPairs = [  ]
 * 		TP, FP, TN, FN = 0, 0, 0, 0
 */
  __pyx_t_3 = PyObject_Length(__pyx_v_positives); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 483, __pyx_L1_error)
  __pyx_t_4 = PyObject_Length(__pyx_v_negatives); if (unlikely(__pyx_t_4 == ((Py_ssize_t)-1))) __PYX_ERR(0, 483, __pyx_L1_error)
  __pyx_v_npos = __pyx_t_3;
  __pyx_v_nneg = __pyx_t_4;

  /* "gnocis/models.pyx":484
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 * 		vPairs = [  ]             # <<<<<<<<<<<<<<
 * 		TP, FP, TN, FN = 0, 0, 0, 0
 * 		for i, e in enumerate(positives):
 */
  __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 484, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_v_vPairs = __pyx_t_2;
  __pyx_t_2 = 0;

  /* "gnocis/models.pyx":485
 * 		npos, nneg = len(positives), len(negatives)
 * 		vPairs = [  ]
 * 		TP, FP, TN, FN = 0, 0, 0, 0             # <<<<<<<<<<<<<<
 * 		for i, e in enumerate(positives):
 * 			cvmdl = self.getCrossValidationConstructor()(positives[:i] + positives[i+1:], negatives)
 */
  __pyx_t_2 = __pyx_int_0;
  __Pyx_INCREF(__pyx_t_2);
  __pyx_t_1 = __pyx_int_0;
  __Pyx_INCREF(__pyx_t_1);
  __pyx_t_5 = __pyx_int_0;
  __Pyx_INCREF(__pyx_t_5);
  __pyx_t_6 = __pyx_int_0;
  __Pyx_INCREF(__pyx_t_6);
  __pyx_v_TP = __pyx_t_2;
  __pyx_t_2 = 0;
  __pyx_v_FP = __pyx_t_1;
  __pyx_t_1 = 0;
  __pyx_v_TN = __pyx_t_5;
  __pyx_t_5 = 0;
  __pyx_v_FN = __pyx_t_6;
  __pyx_t_6 = 0;

  /* "gnocis/models.pyx":486
 * 		vPairs = [  ]
 * 		TP, FP, TN, FN = 0, 0, 0, 0
 * 		for i, e in enumerate(positives):             # <<<<<<<<<<<<<<
 * 			cvmdl = self.getCrossValidationConstructor()(positives[:i] + positives[i+1:], negatives)
 * 			score = cvmdl.scoreSequence(positives[i])
 */
  __Pyx_INCREF(__pyx_int_0);
  __pyx_t_6 = __pyx_int_0;
  if (likely(PyList_CheckExact(__pyx_v_positives)) || PyTuple_CheckExact(__pyx_v_positives)) {
    __pyx_t_5 = __pyx_v_positives; __Pyx_INCREF(__pyx_t_5); __pyx_t_4 = 0;
    __pyx_t_7 = NULL;
  } else {
    __pyx_t_4 = -1; __pyx_t_5 = PyObject_GetIter(__pyx_v_positives); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 486, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_7 = Py_TYPE(__pyx_t_5)->tp_iternext; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 486, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_7)) {
      if (likely(PyList_CheckExact(__pyx_t_5))) {
        if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_5)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyList_GET_ITEM(__pyx_t_5, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 486, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_5, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 486, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      } else {
        if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_5)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_5, __pyx_t_4); __Pyx_INCREF(__pyx_t_1); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 486, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_5, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 486, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      }
    } else {
      __pyx_t_1 = __pyx_t_7(__pyx_t_5);
      if (unlikely(!__pyx_t_1)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 486, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_1);
    }
    __Pyx_XDECREF_SET(__pyx_v_e, __pyx_t_1);
    __pyx_t_1 = 0;
    __Pyx_INCREF(__pyx_t_6);
    __Pyx_XDECREF_SET(__pyx_v_i, __pyx_t_6);
    __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_t_6, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 486, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_6);
    __pyx_t_6 = __pyx_t_1;
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":487
 * 		TP, FP, TN, FN = 0, 0, 0, 0
 * 		for i, e in enumerate(positives):
 * 			cvmdl = self.getCrossValidationConstructor()(positives[:i] + positives[i+1:], negatives)             # <<<<<<<<<<<<<<
 * 			score = cvmdl.scoreSequence(positives[i])
 * 			if score > cvmdl.threshold:
 */
    __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getCrossValidationConstructor); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 487, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_9 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_8, function);
      }
    }
    __pyx_t_2 = (__pyx_t_9) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_9) : __Pyx_PyObject_CallNoArg(__pyx_t_8);
    __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 487, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __pyx_t_8 = __Pyx_PyObject_GetSlice(__pyx_v_positives, 0, 0, NULL, &__pyx_v_i, NULL, 0, 0, 1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 487, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_9 = __Pyx_PyInt_AddObjC(__pyx_v_i, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 487, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_10 = __Pyx_PyObject_GetSlice(__pyx_v_positives, 0, 0, &__pyx_t_9, NULL, NULL, 0, 0, 1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 487, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_10);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = PyNumber_Add(__pyx_t_8, __pyx_t_10); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 487, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
    __pyx_t_10 = NULL;
    __pyx_t_11 = 0;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
      __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_2);
      if (likely(__pyx_t_10)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
        __Pyx_INCREF(__pyx_t_10);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_2, function);
        __pyx_t_11 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_t_9, __pyx_v_negatives};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_11, 2+__pyx_t_11); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 487, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_t_9, __pyx_v_negatives};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_11, 2+__pyx_t_11); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 487, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    } else
    #endif
    {
      __pyx_t_8 = PyTuple_New(2+__pyx_t_11); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 487, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      if (__pyx_t_10) {
        __Pyx_GIVEREF(__pyx_t_10); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_10); __pyx_t_10 = NULL;
      }
      __Pyx_GIVEREF(__pyx_t_9);
      PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_11, __pyx_t_9);
      __Pyx_INCREF(__pyx_v_negatives);
      __Pyx_GIVEREF(__pyx_v_negatives);
      PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_11, __pyx_v_negatives);
      __pyx_t_9 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_8, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 487, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XDECREF_SET(__pyx_v_cvmdl, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":488
 * 		for i, e in enumerate(positives):
 * 			cvmdl = self.getCrossValidationConstructor()(positives[:i] + positives[i+1:], negatives)
 * 			score = cvmdl.scoreSequence(positives[i])             # <<<<<<<<<<<<<<
 * 			if score > cvmdl.threshold:
 * 				TP += 1
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_cvmdl, __pyx_n_s_scoreSequence); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 488, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_v_positives, __pyx_v_i); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 488, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_9 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_2);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_2, function);
      }
    }
    __pyx_t_1 = (__pyx_t_9) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_9, __pyx_t_8) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_8);
    __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 488, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XDECREF_SET(__pyx_v_score, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":489
 * 			cvmdl = self.getCrossValidationConstructor()(positives[:i] + positives[i+1:], negatives)
 * 			score = cvmdl.scoreSequence(positives[i])
 * 			if score > cvmdl.threshold:             # <<<<<<<<<<<<<<
 * 				TP += 1
 * 			else:
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_cvmdl, __pyx_n_s_threshold); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 489, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = PyObject_RichCompare(__pyx_v_score, __pyx_t_1, Py_GT); __Pyx_XGOTREF(__pyx_t_2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 489, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 489, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (__pyx_t_12) {

      /* "gnocis/models.pyx":490
 * 			score = cvmdl.scoreSequence(positives[i])
 * 			if score > cvmdl.threshold:
 * 				TP += 1             # <<<<<<<<<<<<<<
 * 			else:
 * 				FN += 1
 */
      __pyx_t_2 = __Pyx_PyInt_AddObjC(__pyx_v_TP, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 490, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF_SET(__pyx_v_TP, __pyx_t_2);
      __pyx_t_2 = 0;

      /* "gnocis/models.pyx":489
 * 			cvmdl = self.getCrossValidationConstructor()(positives[:i] + positives[i+1:], negatives)
 * 			score = cvmdl.scoreSequence(positives[i])
 * 			if score > cvmdl.threshold:             # <<<<<<<<<<<<<<
 * 				TP += 1
 * 			else:
 */
      goto __pyx_L5;
    }

    /* "gnocis/models.pyx":492
 * 				TP += 1
 * 			else:
 * 				FN += 1             # <<<<<<<<<<<<<<
 * 			vPairs.append( { 'score': score, 'class': True } )
 * 		for i, e in enumerate(negatives):
 */
    /*else*/ {
      __pyx_t_2 = __Pyx_PyInt_AddObjC(__pyx_v_FN, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 492, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF_SET(__pyx_v_FN, __pyx_t_2);
      __pyx_t_2 = 0;
    }
    __pyx_L5:;

    /* "gnocis/models.pyx":493
 * 			else:
 * 				FN += 1
 * 			vPairs.append( { 'score': score, 'class': True } )             # <<<<<<<<<<<<<<
 * 		for i, e in enumerate(negatives):
 * 			cvmdl = self.getCrossValidationConstructor()(positives, negatives[:i] + negatives[i+1:])
 */
    __pyx_t_2 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 493, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    if (PyDict_SetItem(__pyx_t_2, __pyx_n_u_score, __pyx_v_score) < 0) __PYX_ERR(0, 493, __pyx_L1_error)
    if (PyDict_SetItem(__pyx_t_2, __pyx_n_u_class, Py_True) < 0) __PYX_ERR(0, 493, __pyx_L1_error)
    __pyx_t_13 = __Pyx_PyObject_Append(__pyx_v_vPairs, __pyx_t_2); if (unlikely(__pyx_t_13 == ((int)-1))) __PYX_ERR(0, 493, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "gnocis/models.pyx":486
 * 		vPairs = [  ]
 * 		TP, FP, TN, FN = 0, 0, 0, 0
 * 		for i, e in enumerate(positives):             # <<<<<<<<<<<<<<
 * 			cvmdl = self.getCrossValidationConstructor()(positives[:i] + positives[i+1:], negatives)
 * 			score = cvmdl.scoreSequence(positives[i])
 */
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

  /* "gnocis/models.pyx":494
 * 				FN += 1
 * 			vPairs.append( { 'score': score, 'class': True } )
 * 		for i, e in enumerate(negatives):             # <<<<<<<<<<<<<<
 * 			cvmdl = self.getCrossValidationConstructor()(positives, negatives[:i] + negatives[i+1:])
 * 			score = cvmdl.scoreSequence(negatives[i])
 */
  __Pyx_INCREF(__pyx_int_0);
  __pyx_t_6 = __pyx_int_0;
  if (likely(PyList_CheckExact(__pyx_v_negatives)) || PyTuple_CheckExact(__pyx_v_negatives)) {
    __pyx_t_5 = __pyx_v_negatives; __Pyx_INCREF(__pyx_t_5); __pyx_t_4 = 0;
    __pyx_t_7 = NULL;
  } else {
    __pyx_t_4 = -1; __pyx_t_5 = PyObject_GetIter(__pyx_v_negatives); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 494, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_7 = Py_TYPE(__pyx_t_5)->tp_iternext; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 494, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_7)) {
      if (likely(PyList_CheckExact(__pyx_t_5))) {
        if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_5)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_2 = PyList_GET_ITEM(__pyx_t_5, __pyx_t_4); __Pyx_INCREF(__pyx_t_2); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 494, __pyx_L1_error)
        #else
        __pyx_t_2 = PySequence_ITEM(__pyx_t_5, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 494, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_2);
        #endif
      } else {
        if (__pyx_t_4 >= PyTuple_GET_SIZE(__pyx_t_5)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_5, __pyx_t_4); __Pyx_INCREF(__pyx_t_2); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 494, __pyx_L1_error)
        #else
        __pyx_t_2 = PySequence_ITEM(__pyx_t_5, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 494, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_2);
        #endif
      }
    } else {
      __pyx_t_2 = __pyx_t_7(__pyx_t_5);
      if (unlikely(!__pyx_t_2)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 494, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_2);
    }
    __Pyx_XDECREF_SET(__pyx_v_e, __pyx_t_2);
    __pyx_t_2 = 0;
    __Pyx_INCREF(__pyx_t_6);
    __Pyx_XDECREF_SET(__pyx_v_i, __pyx_t_6);
    __pyx_t_2 = __Pyx_PyInt_AddObjC(__pyx_t_6, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 494, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_6);
    __pyx_t_6 = __pyx_t_2;
    __pyx_t_2 = 0;

    /* "gnocis/models.pyx":495
 * 			vPairs.append( { 'score': score, 'class': True } )
 * 		for i, e in enumerate(negatives):
 * 			cvmdl = self.getCrossValidationConstructor()(positives, negatives[:i] + negatives[i+1:])             # <<<<<<<<<<<<<<
 * 			score = cvmdl.scoreSequence(negatives[i])
 * 			if score > cvmdl.threshold:
 */
    __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getCrossValidationConstructor); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 495, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_9 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_8, function);
      }
    }
    __pyx_t_1 = (__pyx_t_9) ? __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_9) : __Pyx_PyObject_CallNoArg(__pyx_t_8);
    __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
    if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 495, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __pyx_t_8 = __Pyx_PyObject_GetSlice(__pyx_v_negatives, 0, 0, NULL, &__pyx_v_i, NULL, 0, 0, 1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 495, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_9 = __Pyx_PyInt_AddObjC(__pyx_v_i, __pyx_int_1, 1, 0, 0); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 495, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_10 = __Pyx_PyObject_GetSlice(__pyx_v_negatives, 0, 0, &__pyx_t_9, NULL, NULL, 0, 0, 1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 495, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_10);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = PyNumber_Add(__pyx_t_8, __pyx_t_10); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 495, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
    __pyx_t_10 = NULL;
    __pyx_t_11 = 0;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) {
      __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_1);
      if (likely(__pyx_t_10)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1);
        __Pyx_INCREF(__pyx_t_10);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_1, function);
        __pyx_t_11 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_1)) {
      PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_v_positives, __pyx_t_9};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_11, 2+__pyx_t_11); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 495, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_1)) {
      PyObject *__pyx_temp[3] = {__pyx_t_10, __pyx_v_positives, __pyx_t_9};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_1, __pyx_temp+1-__pyx_t_11, 2+__pyx_t_11); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 495, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    } else
    #endif
    {
      __pyx_t_8 = PyTuple_New(2+__pyx_t_11); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 495, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      if (__pyx_t_10) {
        __Pyx_GIVEREF(__pyx_t_10); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_10); __pyx_t_10 = NULL;
      }
      __Pyx_INCREF(__pyx_v_positives);
      __Pyx_GIVEREF(__pyx_v_positives);
      PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_11, __pyx_v_positives);
      __Pyx_GIVEREF(__pyx_t_9);
      PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_11, __pyx_t_9);
      __pyx_t_9 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_8, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 495, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    }
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF_SET(__pyx_v_cvmdl, __pyx_t_2);
    __pyx_t_2 = 0;

    /* "gnocis/models.pyx":496
 * 		for i, e in enumerate(negatives):
 * 			cvmdl = self.getCrossValidationConstructor()(positives, negatives[:i] + negatives[i+1:])
 * 			score = cvmdl.scoreSequence(negatives[i])             # <<<<<<<<<<<<<<
 * 			if score > cvmdl.threshold:
 * 				FP += 1
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_cvmdl, __pyx_n_s_scoreSequence); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 496, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_v_negatives, __pyx_v_i); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 496, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_9 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_1);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_1, function);
      }
    }
    __pyx_t_2 = (__pyx_t_9) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_9, __pyx_t_8) : __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_8);
    __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 496, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF_SET(__pyx_v_score, __pyx_t_2);
    __pyx_t_2 = 0;

    /* "gnocis/models.pyx":497
 * 			cvmdl = self.getCrossValidationConstructor()(positives, negatives[:i] + negatives[i+1:])
 * 			score = cvmdl.scoreSequence(negatives[i])
 * 			if score > cvmdl.threshold:             # <<<<<<<<<<<<<<
 * 				FP += 1
 * 			else:
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_cvmdl, __pyx_n_s_threshold); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 497, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_1 = PyObject_RichCompare(__pyx_v_score, __pyx_t_2, Py_GT); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 497, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 497, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (__pyx_t_12) {

      /* "gnocis/models.pyx":498
 * 			score = cvmdl.scoreSequence(negatives[i])
 * 			if score > cvmdl.threshold:
 * 				FP += 1             # <<<<<<<<<<<<<<
 * 			else:
 * 				TN += 1
 */
      __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_v_FP, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 498, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF_SET(__pyx_v_FP, __pyx_t_1);
      __pyx_t_1 = 0;

      /* "gnocis/models.pyx":497
 * 			cvmdl = self.getCrossValidationConstructor()(positives, negatives[:i] + negatives[i+1:])
 * 			score = cvmdl.scoreSequence(negatives[i])
 * 			if score > cvmdl.threshold:             # <<<<<<<<<<<<<<
 * 				FP += 1
 * 			else:
 */
      goto __pyx_L8;
    }

    /* "gnocis/models.pyx":500
 * 				FP += 1
 * 			else:
 * 				TN += 1             # <<<<<<<<<<<<<<
 * 			vPairs.append( { 'score': score, 'class': False } )
 * 		stats = { 'title': 'Cross-validation (leave one out)', 'positives': positives, 'negatives': negatives, 'model': self }
 */
    /*else*/ {
      __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_v_TN, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 500, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF_SET(__pyx_v_TN, __pyx_t_1);
      __pyx_t_1 = 0;
    }
    __pyx_L8:;

    /* "gnocis/models.pyx":501
 * 			else:
 * 				TN += 1
 * 			vPairs.append( { 'score': score, 'class': False } )             # <<<<<<<<<<<<<<
 * 		stats = { 'title': 'Cross-validation (leave one out)', 'positives': positives, 'negatives': negatives, 'model': self }
 * 		CMStats = getConfusionMatrixStatistics({ 'TP':TP, 'FP':FP, 'TN':TN, 'FN':FN })
 */
    __pyx_t_1 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 501, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_score, __pyx_v_score) < 0) __PYX_ERR(0, 501, __pyx_L1_error)
    if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_class, Py_False) < 0) __PYX_ERR(0, 501, __pyx_L1_error)
    __pyx_t_13 = __Pyx_PyObject_Append(__pyx_v_vPairs, __pyx_t_1); if (unlikely(__pyx_t_13 == ((int)-1))) __PYX_ERR(0, 501, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":494
 * 				FN += 1
 * 			vPairs.append( { 'score': score, 'class': True } )
 * 		for i, e in enumerate(negatives):             # <<<<<<<<<<<<<<
 * 			cvmdl = self.getCrossValidationConstructor()(positives, negatives[:i] + negatives[i+1:])
 * 			score = cvmdl.scoreSequence(negatives[i])
 */
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

  /* "gnocis/models.pyx":502
 * 				TN += 1
 * 			vPairs.append( { 'score': score, 'class': False } )
 * 		stats = { 'title': 'Cross-validation (leave one out)', 'positives': positives, 'negatives': negatives, 'model': self }             # <<<<<<<<<<<<<<
 * 		CMStats = getConfusionMatrixStatistics({ 'TP':TP, 'FP':FP, 'TN':TN, 'FN':FN })
 * 		for k in CMStats.keys():
 */
  __pyx_t_6 = __Pyx_PyDict_NewPresized(4); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 502, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  if (PyDict_SetItem(__pyx_t_6, __pyx_n_u_title, __pyx_kp_u_Cross_validation_leave_one_out) < 0) __PYX_ERR(0, 502, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_6, __pyx_n_u_positives, __pyx_v_positives) < 0) __PYX_ERR(0, 502, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_6, __pyx_n_u_negatives, __pyx_v_negatives) < 0) __PYX_ERR(0, 502, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_6, __pyx_n_u_model, __pyx_v_self) < 0) __PYX_ERR(0, 502, __pyx_L1_error)
  __pyx_v_stats = ((PyObject*)__pyx_t_6);
  __pyx_t_6 = 0;

  /* "gnocis/models.pyx":503
 * 			vPairs.append( { 'score': score, 'class': False } )
 * 		stats = { 'title': 'Cross-validation (leave one out)', 'positives': positives, 'negatives': negatives, 'model': self }
 * 		CMStats = getConfusionMatrixStatistics({ 'TP':TP, 'FP':FP, 'TN':TN, 'FN':FN })             # <<<<<<<<<<<<<<
 * 		for k in CMStats.keys():
 * 			stats[k] = CMStats[k]
 */
  __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_getConfusionMatrixStatistics); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 503, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_1 = __Pyx_PyDict_NewPresized(4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 503, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_TP, __pyx_v_TP) < 0) __PYX_ERR(0, 503, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_FP, __pyx_v_FP) < 0) __PYX_ERR(0, 503, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_TN, __pyx_v_TN) < 0) __PYX_ERR(0, 503, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_FN, __pyx_v_FN) < 0) __PYX_ERR(0, 503, __pyx_L1_error)
  __pyx_t_2 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  __pyx_t_6 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_2, __pyx_t_1) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 503, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_v_CMStats = __pyx_t_6;
  __pyx_t_6 = 0;

  /* "gnocis/models.pyx":504
 * 		stats = { 'title': 'Cross-validation (leave one out)', 'positives': positives, 'negatives': negatives, 'model': self }
 * 		CMStats = getConfusionMatrixStatistics({ 'TP':TP, 'FP':FP, 'TN':TN, 'FN':FN })
 * 		for k in CMStats.keys():             # <<<<<<<<<<<<<<
 * 			stats[k] = CMStats[k]
 * 		vPairs = sorted(vPairs, key = lambda x: -x['score'])
 */
  __pyx_t_4 = 0;
  if (unlikely(__pyx_v_CMStats == Py_None)) {
    PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "keys");
    __PYX_ERR(0, 504, __pyx_L1_error)
  }
  __pyx_t_5 = __Pyx_dict_iterator(__pyx_v_CMStats, 0, __pyx_n_s_keys, (&__pyx_t_3), (&__pyx_t_11)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 504, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __pyx_t_6 = __pyx_t_5;
  __pyx_t_5 = 0;
  while (1) {
    __pyx_t_14 = __Pyx_dict_iter_next(__pyx_t_6, __pyx_t_3, &__pyx_t_4, &__pyx_t_5, NULL, NULL, __pyx_t_11);
    if (unlikely(__pyx_t_14 == 0)) break;
    if (unlikely(__pyx_t_14 == -1)) __PYX_ERR(0, 504, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_XDECREF_SET(__pyx_v_k, __pyx_t_5);
    __pyx_t_5 = 0;

    /* "gnocis/models.pyx":505
 * 		CMStats = getConfusionMatrixStatistics({ 'TP':TP, 'FP':FP, 'TN':TN, 'FN':FN })
 * 		for k in CMStats.keys():
 * 			stats[k] = CMStats[k]             # <<<<<<<<<<<<<<
 * 		vPairs = sorted(vPairs, key = lambda x: -x['score'])
 * 		TP, FP, AUC = 0, 0, 0.0
 */
    __pyx_t_5 = __Pyx_PyObject_GetItem(__pyx_v_CMStats, __pyx_v_k); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 505, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    if (unlikely(PyDict_SetItem(__pyx_v_stats, __pyx_v_k, __pyx_t_5) < 0)) __PYX_ERR(0, 505, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  }
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

  /* "gnocis/models.pyx":506
 * 		for k in CMStats.keys():
 * 			stats[k] = CMStats[k]
 * 		vPairs = sorted(vPairs, key = lambda x: -x['score'])             # <<<<<<<<<<<<<<
 * 		TP, FP, AUC = 0, 0, 0.0
 * 		ROCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 */
  __pyx_t_6 = PyTuple_New(1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 506, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_INCREF(__pyx_v_vPairs);
  __Pyx_GIVEREF(__pyx_v_vPairs);
  PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_v_vPairs);
  __pyx_t_5 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 506, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_31getCrossValidationStatisticsLOO_lambda12, 0, __pyx_n_s_sequenceModel_getCrossValidation_2, NULL, __pyx_n_s_gnocis_models, __pyx_d, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 506, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_s_key, __pyx_t_1) < 0) __PYX_ERR(0, 506, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_sorted, __pyx_t_6, __pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 506, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF_SET(__pyx_v_vPairs, __pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":507
 * 			stats[k] = CMStats[k]
 * 		vPairs = sorted(vPairs, key = lambda x: -x['score'])
 * 		TP, FP, AUC = 0, 0, 0.0             # <<<<<<<<<<<<<<
 * 		ROCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 * 		PRCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 */
  __pyx_t_1 = __pyx_int_0;
  __Pyx_INCREF(__pyx_t_1);
  __pyx_t_5 = __pyx_int_0;
  __Pyx_INCREF(__pyx_t_5);
  __pyx_t_15 = 0.0;
  __Pyx_DECREF_SET(__pyx_v_TP, __pyx_t_1);
  __pyx_t_1 = 0;
  __Pyx_DECREF_SET(__pyx_v_FP, __pyx_t_5);
  __pyx_t_5 = 0;
  __pyx_v_AUC = __pyx_t_15;

  /* "gnocis/models.pyx":508
 * 		vPairs = sorted(vPairs, key = lambda x: -x['score'])
 * 		TP, FP, AUC = 0, 0, 0.0
 * 		ROCcurve = [ { 'x': 0.0, 'y': 0.0 } ]             # <<<<<<<<<<<<<<
 * 		PRCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 * 		for vp in vPairs:
 */
  __pyx_t_5 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 508, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_u_x, __pyx_float_0_0) < 0) __PYX_ERR(0, 508, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_u_y, __pyx_float_0_0) < 0) __PYX_ERR(0, 508, __pyx_L1_error)
  __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 508, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_GIVEREF(__pyx_t_5);
  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_t_5);
  __pyx_t_5 = 0;
  __pyx_v_ROCcurve = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":509
 * 		TP, FP, AUC = 0, 0, 0.0
 * 		ROCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 * 		PRCcurve = [ { 'x': 0.0, 'y': 0.0 } ]             # <<<<<<<<<<<<<<
 * 		for vp in vPairs:
 * 			if vp['class']:
 */
  __pyx_t_1 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 509, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_x, __pyx_float_0_0) < 0) __PYX_ERR(0, 509, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_y, __pyx_float_0_0) < 0) __PYX_ERR(0, 509, __pyx_L1_error)
  __pyx_t_5 = PyList_New(1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 509, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_GIVEREF(__pyx_t_1);
  PyList_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
  __pyx_t_1 = 0;
  __pyx_v_PRCcurve = ((PyObject*)__pyx_t_5);
  __pyx_t_5 = 0;

  /* "gnocis/models.pyx":510
 * 		ROCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 * 		PRCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 * 		for vp in vPairs:             # <<<<<<<<<<<<<<
 * 			if vp['class']:
 * 				TP += 1
 */
  if (likely(PyList_CheckExact(__pyx_v_vPairs)) || PyTuple_CheckExact(__pyx_v_vPairs)) {
    __pyx_t_5 = __pyx_v_vPairs; __Pyx_INCREF(__pyx_t_5); __pyx_t_3 = 0;
    __pyx_t_7 = NULL;
  } else {
    __pyx_t_3 = -1; __pyx_t_5 = PyObject_GetIter(__pyx_v_vPairs); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 510, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_7 = Py_TYPE(__pyx_t_5)->tp_iternext; if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 510, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_7)) {
      if (likely(PyList_CheckExact(__pyx_t_5))) {
        if (__pyx_t_3 >= PyList_GET_SIZE(__pyx_t_5)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyList_GET_ITEM(__pyx_t_5, __pyx_t_3); __Pyx_INCREF(__pyx_t_1); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(0, 510, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_5, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 510, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      } else {
        if (__pyx_t_3 >= PyTuple_GET_SIZE(__pyx_t_5)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_5, __pyx_t_3); __Pyx_INCREF(__pyx_t_1); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(0, 510, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_5, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 510, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      }
    } else {
      __pyx_t_1 = __pyx_t_7(__pyx_t_5);
      if (unlikely(!__pyx_t_1)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 510, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_1);
    }
    __Pyx_XDECREF_SET(__pyx_v_vp, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":511
 * 		PRCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 * 		for vp in vPairs:
 * 			if vp['class']:             # <<<<<<<<<<<<<<
 * 				TP += 1
 * 			else:
 */
    __pyx_t_1 = __Pyx_PyObject_Dict_GetItem(__pyx_v_vp, __pyx_n_u_class); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 511, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 511, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (__pyx_t_12) {

      /* "gnocis/models.pyx":512
 * 		for vp in vPairs:
 * 			if vp['class']:
 * 				TP += 1             # <<<<<<<<<<<<<<
 * 			else:
 * 				FP += 1
 */
      __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_v_TP, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 512, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF_SET(__pyx_v_TP, __pyx_t_1);
      __pyx_t_1 = 0;

      /* "gnocis/models.pyx":511
 * 		PRCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 * 		for vp in vPairs:
 * 			if vp['class']:             # <<<<<<<<<<<<<<
 * 				TP += 1
 * 			else:
 */
      goto __pyx_L13;
    }

    /* "gnocis/models.pyx":514
 * 				TP += 1
 * 			else:
 * 				FP += 1             # <<<<<<<<<<<<<<
 * 			ROCcurve .append({ 'x': (FP / len( negatives )), 'y': (TP / float(len(positives))) })
 * 			PRCcurve .append({ 'x': (TP / float(len(positives))), 'y': (TP / float( TP + FP )) })
 */
    /*else*/ {
      __pyx_t_1 = __Pyx_PyInt_AddObjC(__pyx_v_FP, __pyx_int_1, 1, 1, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 514, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF_SET(__pyx_v_FP, __pyx_t_1);
      __pyx_t_1 = 0;
    }
    __pyx_L13:;

    /* "gnocis/models.pyx":515
 * 			else:
 * 				FP += 1
 * 			ROCcurve .append({ 'x': (FP / len( negatives )), 'y': (TP / float(len(positives))) })             # <<<<<<<<<<<<<<
 * 			PRCcurve .append({ 'x': (TP / float(len(positives))), 'y': (TP / float( TP + FP )) })
 * 		ROCcurve.append({ 'x': 1.0, 'y':1.0 })
 */
    __pyx_t_1 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 515, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = PyObject_Length(__pyx_v_negatives); if (unlikely(__pyx_t_4 == ((Py_ssize_t)-1))) __PYX_ERR(0, 515, __pyx_L1_error)
    __pyx_t_6 = PyInt_FromSsize_t(__pyx_t_4); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 515, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __pyx_t_2 = __Pyx_PyNumber_Divide(__pyx_v_FP, __pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 515, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_x, __pyx_t_2) < 0) __PYX_ERR(0, 515, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_4 = PyObject_Length(__pyx_v_positives); if (unlikely(__pyx_t_4 == ((Py_ssize_t)-1))) __PYX_ERR(0, 515, __pyx_L1_error)
    __pyx_t_2 = PyFloat_FromDouble(((double)__pyx_t_4)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 515, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_6 = __Pyx_PyNumber_Divide(__pyx_v_TP, __pyx_t_2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 515, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_y, __pyx_t_6) < 0) __PYX_ERR(0, 515, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __pyx_t_13 = __Pyx_PyList_Append(__pyx_v_ROCcurve, __pyx_t_1); if (unlikely(__pyx_t_13 == ((int)-1))) __PYX_ERR(0, 515, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":516
 * 				FP += 1
 * 			ROCcurve .append({ 'x': (FP / len( negatives )), 'y': (TP / float(len(positives))) })
 * 			PRCcurve .append({ 'x': (TP / float(len(positives))), 'y': (TP / float( TP + FP )) })             # <<<<<<<<<<<<<<
 * 		ROCcurve.append({ 'x': 1.0, 'y':1.0 })
 * 		PRCcurve.append({ 'x': 1.0, 'y':(len(positives)/float(len(positives)+len(negatives))) })
 */
    __pyx_t_1 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 516, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = PyObject_Length(__pyx_v_positives); if (unlikely(__pyx_t_4 == ((Py_ssize_t)-1))) __PYX_ERR(0, 516, __pyx_L1_error)
    __pyx_t_6 = PyFloat_FromDouble(((double)__pyx_t_4)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 516, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __pyx_t_2 = __Pyx_PyNumber_Divide(__pyx_v_TP, __pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 516, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_x, __pyx_t_2) < 0) __PYX_ERR(0, 516, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = PyNumber_Add(__pyx_v_TP, __pyx_v_FP); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 516, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_6 = __Pyx_PyNumber_Float(__pyx_t_2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 516, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyNumber_Divide(__pyx_v_TP, __pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 516, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    if (PyDict_SetItem(__pyx_t_1, __pyx_n_u_y, __pyx_t_2) < 0) __PYX_ERR(0, 516, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_13 = __Pyx_PyList_Append(__pyx_v_PRCcurve, __pyx_t_1); if (unlikely(__pyx_t_13 == ((int)-1))) __PYX_ERR(0, 516, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":510
 * 		ROCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 * 		PRCcurve = [ { 'x': 0.0, 'y': 0.0 } ]
 * 		for vp in vPairs:             # <<<<<<<<<<<<<<
 * 			if vp['class']:
 * 				TP += 1
 */
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "gnocis/models.pyx":517
 * 			ROCcurve .append({ 'x': (FP / len( negatives )), 'y': (TP / float(len(positives))) })
 * 			PRCcurve .append({ 'x': (TP / float(len(positives))), 'y': (TP / float( TP + FP )) })
 * 		ROCcurve.append({ 'x': 1.0, 'y':1.0 })             # <<<<<<<<<<<<<<
 * 		PRCcurve.append({ 'x': 1.0, 'y':(len(positives)/float(len(positives)+len(negatives))) })
 * 		stats['ROC AUC'] = getAUC(ROCcurve)
 */
  __pyx_t_5 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 517, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_u_x, __pyx_float_1_0) < 0) __PYX_ERR(0, 517, __pyx_L1_error)
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_u_y, __pyx_float_1_0) < 0) __PYX_ERR(0, 517, __pyx_L1_error)
  __pyx_t_13 = __Pyx_PyList_Append(__pyx_v_ROCcurve, __pyx_t_5); if (unlikely(__pyx_t_13 == ((int)-1))) __PYX_ERR(0, 517, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "gnocis/models.pyx":518
 * 			PRCcurve .append({ 'x': (TP / float(len(positives))), 'y': (TP / float( TP + FP )) })
 * 		ROCcurve.append({ 'x': 1.0, 'y':1.0 })
 * 		PRCcurve.append({ 'x': 1.0, 'y':(len(positives)/float(len(positives)+len(negatives))) })             # <<<<<<<<<<<<<<
 * 		stats['ROC AUC'] = getAUC(ROCcurve)
 * 		stats['PRC AUC'] = getAUC(PRCcurve)
 */
  __pyx_t_5 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 518, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_u_x, __pyx_float_1_0) < 0) __PYX_ERR(0, 518, __pyx_L1_error)
  __pyx_t_3 = PyObject_Length(__pyx_v_positives); if (unlikely(__pyx_t_3 == ((Py_ssize_t)-1))) __PYX_ERR(0, 518, __pyx_L1_error)
  __pyx_t_4 = PyObject_Length(__pyx_v_positives); if (unlikely(__pyx_t_4 == ((Py_ssize_t)-1))) __PYX_ERR(0, 518, __pyx_L1_error)
  __pyx_t_16 = PyObject_Length(__pyx_v_negatives); if (unlikely(__pyx_t_16 == ((Py_ssize_t)-1))) __PYX_ERR(0, 518, __pyx_L1_error)
  if (unlikely(((double)(__pyx_t_4 + __pyx_t_16)) == 0)) {
    PyErr_SetString(PyExc_ZeroDivisionError, "float division");
    __PYX_ERR(0, 518, __pyx_L1_error)
  }
  __pyx_t_1 = PyFloat_FromDouble((((double)__pyx_t_3) / ((double)(__pyx_t_4 + __pyx_t_16)))); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 518, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_t_5, __pyx_n_u_y, __pyx_t_1) < 0) __PYX_ERR(0, 518, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_13 = __Pyx_PyList_Append(__pyx_v_PRCcurve, __pyx_t_5); if (unlikely(__pyx_t_13 == ((int)-1))) __PYX_ERR(0, 518, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "gnocis/models.pyx":519
 * 		ROCcurve.append({ 'x': 1.0, 'y':1.0 })
 * 		PRCcurve.append({ 'x': 1.0, 'y':(len(positives)/float(len(positives)+len(negatives))) })
 * 		stats['ROC AUC'] = getAUC(ROCcurve)             # <<<<<<<<<<<<<<
 * 		stats['PRC AUC'] = getAUC(PRCcurve)
 * 		return stats
 */
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_getAUC); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 519, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_1);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_1, function);
    }
  }
  __pyx_t_5 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_2, __pyx_v_ROCcurve) : __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_v_ROCcurve);
  __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 519, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (unlikely(PyDict_SetItem(__pyx_v_stats, __pyx_kp_u_ROC_AUC, __pyx_t_5) < 0)) __PYX_ERR(0, 519, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "gnocis/models.pyx":520
 * 		PRCcurve.append({ 'x': 1.0, 'y':(len(positives)/float(len(positives)+len(negatives))) })
 * 		stats['ROC AUC'] = getAUC(ROCcurve)
 * 		stats['PRC AUC'] = getAUC(PRCcurve)             # <<<<<<<<<<<<<<
 * 		return stats
 * 
 */
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_getAUC); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 520, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_1);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_1, function);
    }
  }
  __pyx_t_5 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_1, __pyx_t_2, __pyx_v_PRCcurve) : __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_v_PRCcurve);
  __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 520, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (unlikely(PyDict_SetItem(__pyx_v_stats, __pyx_kp_u_PRC_AUC, __pyx_t_5) < 0)) __PYX_ERR(0, 520, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "gnocis/models.pyx":521
 * 		stats['ROC AUC'] = getAUC(ROCcurve)
 * 		stats['PRC AUC'] = getAUC(PRCcurve)
 * 		return stats             # <<<<<<<<<<<<<<
 * 
 * 	# Predicts regions inside a sequence stream using a sliding window.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(__pyx_v_stats);
  __pyx_r = __pyx_v_stats;
  goto __pyx_L0;

  /* "gnocis/models.pyx":481
 * 
 * 	# Returns cross-validation statistics dictionary, with leaving each training set sequence out and classifying it.
 * 	def getCrossValidationStatisticsLOO(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_XDECREF(__pyx_t_10);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.getCrossValidationStatisticsLOO", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_cpos);
  __Pyx_XDECREF(__pyx_v_cneg);
  __Pyx_XDECREF(__pyx_v_vPairs);
  __Pyx_XDECREF(__pyx_v_TP);
  __Pyx_XDECREF(__pyx_v_FP);
  __Pyx_XDECREF(__pyx_v_TN);
  __Pyx_XDECREF(__pyx_v_FN);
  __Pyx_XDECREF(__pyx_v_i);
  __Pyx_XDECREF(__pyx_v_e);
  __Pyx_XDECREF(__pyx_v_cvmdl);
  __Pyx_XDECREF(__pyx_v_score);
  __Pyx_XDECREF(__pyx_v_stats);
  __Pyx_XDECREF(__pyx_v_CMStats);
  __Pyx_XDECREF(__pyx_v_k);
  __Pyx_XDECREF(__pyx_v_ROCcurve);
  __Pyx_XDECREF(__pyx_v_PRCcurve);
  __Pyx_XDECREF(__pyx_v_vp);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":524
 * 
 * 	# Predicts regions inside a sequence stream using a sliding window.
 * 	def predictSequenceStreamRegions(self, stream):             # <<<<<<<<<<<<<<
 * 		""" Applies the model using a sliding window across an input sequence stream or sequence set. Windows with a score >= self.threshold are predicted, and predicted windows are merged into non-overlapping predictions.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_31predictSequenceStreamRegions(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_30predictSequenceStreamRegions[] = " Applies the model using a sliding window across an input sequence stream or sequence set. Windows with a score >= self.threshold are predicted, and predicted windows are merged into non-overlapping predictions.\n\t\t\n\t\t:param stream: Sequence material that the model is applied to for prediction.\n\t\t:type stream: sequences/sequenceStream/str\n\t\t\n\t\t:return: Set of non-overlapping (merged) predicted regions\n\t\t:rtype: regions\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_31predictSequenceStreamRegions = {"predictSequenceStreamRegions", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_31predictSequenceStreamRegions, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_30predictSequenceStreamRegions};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_31predictSequenceStreamRegions(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_stream = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("predictSequenceStreamRegions (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_stream,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_stream)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("predictSequenceStreamRegions", 1, 2, 2, 1); __PYX_ERR(0, 524, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "predictSequenceStreamRegions") < 0)) __PYX_ERR(0, 524, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_stream = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("predictSequenceStreamRegions", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 524, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.predictSequenceStreamRegions", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_30predictSequenceStreamRegions(__pyx_self, __pyx_v_self, __pyx_v_stream);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_30predictSequenceStreamRegions(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_stream) {
  struct __pyx_obj_6gnocis_7regions_regions *__pyx_v_pred = 0;
  PyObject *__pyx_v_winPosSet = 0;
  PyObject *__pyx_v_winScoreSet = 0;
  int __pyx_v_i;
  int __pyx_v_nNT;
  struct __pyx_obj_6gnocis_7regions_region *__pyx_v_winPos = 0;
  struct __pyx_obj_6gnocis_9sequences_sequence *__pyx_v_winSeq = 0;
  struct __pyx_obj_6gnocis_9sequences_sequences *__pyx_v_winSeqSet = 0;
  float __pyx_v_wScore;
  PyObject *__pyx_v_cScores = 0;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  Py_ssize_t __pyx_t_8;
  PyObject *(*__pyx_t_9)(PyObject *);
  int __pyx_t_10;
  Py_ssize_t __pyx_t_11;
  int __pyx_t_12;
  PyObject *(*__pyx_t_13)(PyObject *);
  float __pyx_t_14;
  int __pyx_t_15;
  __Pyx_RefNannySetupContext("predictSequenceStreamRegions", 0);

  /* "gnocis/models.pyx":534
 * 		"""
 * 		cdef regions pred
 * 		cdef list winPosSet = []             # <<<<<<<<<<<<<<
 * 		cdef list winScoreSet = []
 * 		cdef int i = 0
 */
  __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 534, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_winPosSet = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":535
 * 		cdef regions pred
 * 		cdef list winPosSet = []
 * 		cdef list winScoreSet = []             # <<<<<<<<<<<<<<
 * 		cdef int i = 0
 * 		cdef int nNT = 0
 */
  __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 535, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_winScoreSet = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":536
 * 		cdef list winPosSet = []
 * 		cdef list winScoreSet = []
 * 		cdef int i = 0             # <<<<<<<<<<<<<<
 * 		cdef int nNT = 0
 * 		cdef region winPos
 */
  __pyx_v_i = 0;

  /* "gnocis/models.pyx":537
 * 		cdef list winScoreSet = []
 * 		cdef int i = 0
 * 		cdef int nNT = 0             # <<<<<<<<<<<<<<
 * 		cdef region winPos
 * 		cdef sequence winSeq
 */
  __pyx_v_nNT = 0;

  /* "gnocis/models.pyx":540
 * 		cdef region winPos
 * 		cdef sequence winSeq
 * 		cdef sequences winSeqSet = sequences('', [])             # <<<<<<<<<<<<<<
 * 		cdef float wScore
 * 		cdef list cScores
 */
  __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 540, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 540, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(__pyx_kp_u__2);
  __Pyx_GIVEREF(__pyx_kp_u__2);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_u__2);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_1);
  __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_9sequences_sequences), __pyx_t_2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 540, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_v_winSeqSet = ((struct __pyx_obj_6gnocis_9sequences_sequences *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":543
 * 		cdef float wScore
 * 		cdef list cScores
 * 		pred = regions('Predictions', [])             # <<<<<<<<<<<<<<
 * 
 * 		for winSeq in streamSequenceWindows(stream, self.windowSize, self.windowStep):
 */
  __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 543, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 543, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(__pyx_n_u_Predictions);
  __Pyx_GIVEREF(__pyx_n_u_Predictions);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_n_u_Predictions);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_1);
  __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_PyObject_Call(((PyObject *)__pyx_ptype_6gnocis_7regions_regions), __pyx_t_2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 543, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_v_pred = ((struct __pyx_obj_6gnocis_7regions_regions *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":545
 * 		pred = regions('Predictions', [])
 * 
 * 		for winSeq in streamSequenceWindows(stream, self.windowSize, self.windowStep):             # <<<<<<<<<<<<<<
 * 			winPosSet.append(winSeq.sourceRegion)
 * 			winSeqSet.sequences.append(winSeq)
 */
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_streamSequenceWindows); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 545, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_windowSize); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 545, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_windowStep); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 545, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[4] = {__pyx_t_5, __pyx_v_stream, __pyx_t_3, __pyx_t_4};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 3+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[4] = {__pyx_t_5, __pyx_v_stream, __pyx_t_3, __pyx_t_4};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 3+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(3+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 545, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_5) {
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_5); __pyx_t_5 = NULL;
    }
    __Pyx_INCREF(__pyx_v_stream);
    __Pyx_GIVEREF(__pyx_v_stream);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_v_stream);
    __Pyx_GIVEREF(__pyx_t_3);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_t_3);
    __Pyx_GIVEREF(__pyx_t_4);
    PyTuple_SET_ITEM(__pyx_t_7, 2+__pyx_t_6, __pyx_t_4);
    __pyx_t_3 = 0;
    __pyx_t_4 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_7, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (likely(PyList_CheckExact(__pyx_t_1)) || PyTuple_CheckExact(__pyx_t_1)) {
    __pyx_t_2 = __pyx_t_1; __Pyx_INCREF(__pyx_t_2); __pyx_t_8 = 0;
    __pyx_t_9 = NULL;
  } else {
    __pyx_t_8 = -1; __pyx_t_2 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 545, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = Py_TYPE(__pyx_t_2)->tp_iternext; if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 545, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  for (;;) {
    if (likely(!__pyx_t_9)) {
      if (likely(PyList_CheckExact(__pyx_t_2))) {
        if (__pyx_t_8 >= PyList_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyList_GET_ITEM(__pyx_t_2, __pyx_t_8); __Pyx_INCREF(__pyx_t_1); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 545, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      } else {
        if (__pyx_t_8 >= PyTuple_GET_SIZE(__pyx_t_2)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_1 = PyTuple_GET_ITEM(__pyx_t_2, __pyx_t_8); __Pyx_INCREF(__pyx_t_1); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 545, __pyx_L1_error)
        #else
        __pyx_t_1 = PySequence_ITEM(__pyx_t_2, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 545, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        #endif
      }
    } else {
      __pyx_t_1 = __pyx_t_9(__pyx_t_2);
      if (unlikely(!__pyx_t_1)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 545, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_1);
    }
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_6gnocis_9sequences_sequence))))) __PYX_ERR(0, 545, __pyx_L1_error)
    __Pyx_XDECREF_SET(__pyx_v_winSeq, ((struct __pyx_obj_6gnocis_9sequences_sequence *)__pyx_t_1));
    __pyx_t_1 = 0;

    /* "gnocis/models.pyx":546
 * 
 * 		for winSeq in streamSequenceWindows(stream, self.windowSize, self.windowStep):
 * 			winPosSet.append(winSeq.sourceRegion)             # <<<<<<<<<<<<<<
 * 			winSeqSet.sequences.append(winSeq)
 * 			i += 1
 */
    __pyx_t_1 = ((PyObject *)__pyx_v_winSeq->sourceRegion);
    __Pyx_INCREF(__pyx_t_1);
    __pyx_t_10 = __Pyx_PyList_Append(__pyx_v_winPosSet, __pyx_t_1); if (unlikely(__pyx_t_10 == ((int)-1))) __PYX_ERR(0, 546, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":547
 * 		for winSeq in streamSequenceWindows(stream, self.windowSize, self.windowStep):
 * 			winPosSet.append(winSeq.sourceRegion)
 * 			winSeqSet.sequences.append(winSeq)             # <<<<<<<<<<<<<<
 * 			i += 1
 * 			nNT += len(winSeq)
 */
    if (unlikely(__pyx_v_winSeqSet->sequences == Py_None)) {
      PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "append");
      __PYX_ERR(0, 547, __pyx_L1_error)
    }
    __pyx_t_10 = __Pyx_PyList_Append(__pyx_v_winSeqSet->sequences, ((PyObject *)__pyx_v_winSeq)); if (unlikely(__pyx_t_10 == ((int)-1))) __PYX_ERR(0, 547, __pyx_L1_error)

    /* "gnocis/models.pyx":548
 * 			winPosSet.append(winSeq.sourceRegion)
 * 			winSeqSet.sequences.append(winSeq)
 * 			i += 1             # <<<<<<<<<<<<<<
 * 			nNT += len(winSeq)
 * 			if nNT >= maxThreadFetchNT:
 */
    __pyx_v_i = (__pyx_v_i + 1);

    /* "gnocis/models.pyx":549
 * 			winSeqSet.sequences.append(winSeq)
 * 			i += 1
 * 			nNT += len(winSeq)             # <<<<<<<<<<<<<<
 * 			if nNT >= maxThreadFetchNT:
 * 				winScoreSet += self.getSequenceScores(winSeqSet)
 */
    __pyx_t_11 = PyObject_Length(((PyObject *)__pyx_v_winSeq)); if (unlikely(__pyx_t_11 == ((Py_ssize_t)-1))) __PYX_ERR(0, 549, __pyx_L1_error)
    __pyx_v_nNT = (__pyx_v_nNT + __pyx_t_11);

    /* "gnocis/models.pyx":550
 * 			i += 1
 * 			nNT += len(winSeq)
 * 			if nNT >= maxThreadFetchNT:             # <<<<<<<<<<<<<<
 * 				winScoreSet += self.getSequenceScores(winSeqSet)
 * 				winSeqSet.sequences = []
 */
    __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_nNT); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 550, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_GetModuleGlobalName(__pyx_t_7, __pyx_n_s_maxThreadFetchNT); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 550, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_4 = PyObject_RichCompare(__pyx_t_1, __pyx_t_7, Py_GE); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 550, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 550, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__pyx_t_12) {

      /* "gnocis/models.pyx":551
 * 			nNT += len(winSeq)
 * 			if nNT >= maxThreadFetchNT:
 * 				winScoreSet += self.getSequenceScores(winSeqSet)             # <<<<<<<<<<<<<<
 * 				winSeqSet.sequences = []
 * 				i = 0
 */
      __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 551, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_1 = NULL;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
        __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_7);
        if (likely(__pyx_t_1)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
          __Pyx_INCREF(__pyx_t_1);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_7, function);
        }
      }
      __pyx_t_4 = (__pyx_t_1) ? __Pyx_PyObject_Call2Args(__pyx_t_7, __pyx_t_1, ((PyObject *)__pyx_v_winSeqSet)) : __Pyx_PyObject_CallOneArg(__pyx_t_7, ((PyObject *)__pyx_v_winSeqSet));
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 551, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __pyx_t_7 = PyNumber_InPlaceAdd(__pyx_v_winScoreSet, __pyx_t_4); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 551, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      if (!(likely(PyList_CheckExact(__pyx_t_7))||((__pyx_t_7) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_7)->tp_name), 0))) __PYX_ERR(0, 551, __pyx_L1_error)
      __Pyx_DECREF_SET(__pyx_v_winScoreSet, ((PyObject*)__pyx_t_7));
      __pyx_t_7 = 0;

      /* "gnocis/models.pyx":552
 * 			if nNT >= maxThreadFetchNT:
 * 				winScoreSet += self.getSequenceScores(winSeqSet)
 * 				winSeqSet.sequences = []             # <<<<<<<<<<<<<<
 * 				i = 0
 * 				nNT = 0
 */
      __pyx_t_7 = PyList_New(0); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 552, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_GIVEREF(__pyx_t_7);
      __Pyx_GOTREF(__pyx_v_winSeqSet->sequences);
      __Pyx_DECREF(__pyx_v_winSeqSet->sequences);
      __pyx_v_winSeqSet->sequences = ((PyObject*)__pyx_t_7);
      __pyx_t_7 = 0;

      /* "gnocis/models.pyx":553
 * 				winScoreSet += self.getSequenceScores(winSeqSet)
 * 				winSeqSet.sequences = []
 * 				i = 0             # <<<<<<<<<<<<<<
 * 				nNT = 0
 * 		if len(winSeqSet.sequences) > 0:
 */
      __pyx_v_i = 0;

      /* "gnocis/models.pyx":554
 * 				winSeqSet.sequences = []
 * 				i = 0
 * 				nNT = 0             # <<<<<<<<<<<<<<
 * 		if len(winSeqSet.sequences) > 0:
 * 			winScoreSet += self.getSequenceScores(winSeqSet)
 */
      __pyx_v_nNT = 0;

      /* "gnocis/models.pyx":550
 * 			i += 1
 * 			nNT += len(winSeq)
 * 			if nNT >= maxThreadFetchNT:             # <<<<<<<<<<<<<<
 * 				winScoreSet += self.getSequenceScores(winSeqSet)
 * 				winSeqSet.sequences = []
 */
    }

    /* "gnocis/models.pyx":545
 * 		pred = regions('Predictions', [])
 * 
 * 		for winSeq in streamSequenceWindows(stream, self.windowSize, self.windowStep):             # <<<<<<<<<<<<<<
 * 			winPosSet.append(winSeq.sourceRegion)
 * 			winSeqSet.sequences.append(winSeq)
 */
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":555
 * 				i = 0
 * 				nNT = 0
 * 		if len(winSeqSet.sequences) > 0:             # <<<<<<<<<<<<<<
 * 			winScoreSet += self.getSequenceScores(winSeqSet)
 * 
 */
  __pyx_t_2 = __pyx_v_winSeqSet->sequences;
  __Pyx_INCREF(__pyx_t_2);
  if (unlikely(__pyx_t_2 == Py_None)) {
    PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()");
    __PYX_ERR(0, 555, __pyx_L1_error)
  }
  __pyx_t_8 = PyList_GET_SIZE(__pyx_t_2); if (unlikely(__pyx_t_8 == ((Py_ssize_t)-1))) __PYX_ERR(0, 555, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_12 = ((__pyx_t_8 > 0) != 0);
  if (__pyx_t_12) {

    /* "gnocis/models.pyx":556
 * 				nNT = 0
 * 		if len(winSeqSet.sequences) > 0:
 * 			winScoreSet += self.getSequenceScores(winSeqSet)             # <<<<<<<<<<<<<<
 * 
 * 		for winPos, wScore in zip(winPosSet, winScoreSet):
 */
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getSequenceScores); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 556, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_4 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
      __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_7);
      if (likely(__pyx_t_4)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
        __Pyx_INCREF(__pyx_t_4);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_7, function);
      }
    }
    __pyx_t_2 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_7, __pyx_t_4, ((PyObject *)__pyx_v_winSeqSet)) : __Pyx_PyObject_CallOneArg(__pyx_t_7, ((PyObject *)__pyx_v_winSeqSet));
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 556, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_7 = PyNumber_InPlaceAdd(__pyx_v_winScoreSet, __pyx_t_2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 556, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (!(likely(PyList_CheckExact(__pyx_t_7))||((__pyx_t_7) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_7)->tp_name), 0))) __PYX_ERR(0, 556, __pyx_L1_error)
    __Pyx_DECREF_SET(__pyx_v_winScoreSet, ((PyObject*)__pyx_t_7));
    __pyx_t_7 = 0;

    /* "gnocis/models.pyx":555
 * 				i = 0
 * 				nNT = 0
 * 		if len(winSeqSet.sequences) > 0:             # <<<<<<<<<<<<<<
 * 			winScoreSet += self.getSequenceScores(winSeqSet)
 * 
 */
  }

  /* "gnocis/models.pyx":558
 * 			winScoreSet += self.getSequenceScores(winSeqSet)
 * 
 * 		for winPos, wScore in zip(winPosSet, winScoreSet):             # <<<<<<<<<<<<<<
 * 			if wScore <= self.threshold: continue
 * 			if len(pred) == 0 or pred[-1].seq != winPos.seq or pred[-1].end < winPos.start-1:
 */
  __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 558, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_INCREF(__pyx_v_winPosSet);
  __Pyx_GIVEREF(__pyx_v_winPosSet);
  PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_v_winPosSet);
  __Pyx_INCREF(__pyx_v_winScoreSet);
  __Pyx_GIVEREF(__pyx_v_winScoreSet);
  PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_v_winScoreSet);
  __pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_zip, __pyx_t_7, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 558, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  if (likely(PyList_CheckExact(__pyx_t_2)) || PyTuple_CheckExact(__pyx_t_2)) {
    __pyx_t_7 = __pyx_t_2; __Pyx_INCREF(__pyx_t_7); __pyx_t_8 = 0;
    __pyx_t_9 = NULL;
  } else {
    __pyx_t_8 = -1; __pyx_t_7 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 558, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_9 = Py_TYPE(__pyx_t_7)->tp_iternext; if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 558, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  for (;;) {
    if (likely(!__pyx_t_9)) {
      if (likely(PyList_CheckExact(__pyx_t_7))) {
        if (__pyx_t_8 >= PyList_GET_SIZE(__pyx_t_7)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_2 = PyList_GET_ITEM(__pyx_t_7, __pyx_t_8); __Pyx_INCREF(__pyx_t_2); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 558, __pyx_L1_error)
        #else
        __pyx_t_2 = PySequence_ITEM(__pyx_t_7, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 558, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_2);
        #endif
      } else {
        if (__pyx_t_8 >= PyTuple_GET_SIZE(__pyx_t_7)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_7, __pyx_t_8); __Pyx_INCREF(__pyx_t_2); __pyx_t_8++; if (unlikely(0 < 0)) __PYX_ERR(0, 558, __pyx_L1_error)
        #else
        __pyx_t_2 = PySequence_ITEM(__pyx_t_7, __pyx_t_8); __pyx_t_8++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 558, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_2);
        #endif
      }
    } else {
      __pyx_t_2 = __pyx_t_9(__pyx_t_7);
      if (unlikely(!__pyx_t_2)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 558, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_2);
    }
    if ((likely(PyTuple_CheckExact(__pyx_t_2))) || (PyList_CheckExact(__pyx_t_2))) {
      PyObject* sequence = __pyx_t_2;
      Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
      if (unlikely(size != 2)) {
        if (size > 2) __Pyx_RaiseTooManyValuesError(2);
        else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
        __PYX_ERR(0, 558, __pyx_L1_error)
      }
      #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
      if (likely(PyTuple_CheckExact(sequence))) {
        __pyx_t_4 = PyTuple_GET_ITEM(sequence, 0); 
        __pyx_t_1 = PyTuple_GET_ITEM(sequence, 1); 
      } else {
        __pyx_t_4 = PyList_GET_ITEM(sequence, 0); 
        __pyx_t_1 = PyList_GET_ITEM(sequence, 1); 
      }
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_1);
      #else
      __pyx_t_4 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 558, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_1 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 558, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      #endif
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    } else {
      Py_ssize_t index = -1;
      __pyx_t_3 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 558, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      __pyx_t_13 = Py_TYPE(__pyx_t_3)->tp_iternext;
      index = 0; __pyx_t_4 = __pyx_t_13(__pyx_t_3); if (unlikely(!__pyx_t_4)) goto __pyx_L9_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_4);
      index = 1; __pyx_t_1 = __pyx_t_13(__pyx_t_3); if (unlikely(!__pyx_t_1)) goto __pyx_L9_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_1);
      if (__Pyx_IternextUnpackEndCheck(__pyx_t_13(__pyx_t_3), 2) < 0) __PYX_ERR(0, 558, __pyx_L1_error)
      __pyx_t_13 = NULL;
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      goto __pyx_L10_unpacking_done;
      __pyx_L9_unpacking_failed:;
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_13 = NULL;
      if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
      __PYX_ERR(0, 558, __pyx_L1_error)
      __pyx_L10_unpacking_done:;
    }
    if (!(likely(((__pyx_t_4) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_4, __pyx_ptype_6gnocis_7regions_region))))) __PYX_ERR(0, 558, __pyx_L1_error)
    __pyx_t_14 = __pyx_PyFloat_AsFloat(__pyx_t_1); if (unlikely((__pyx_t_14 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 558, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF_SET(__pyx_v_winPos, ((struct __pyx_obj_6gnocis_7regions_region *)__pyx_t_4));
    __pyx_t_4 = 0;
    __pyx_v_wScore = __pyx_t_14;

    /* "gnocis/models.pyx":559
 * 
 * 		for winPos, wScore in zip(winPosSet, winScoreSet):
 * 			if wScore <= self.threshold: continue             # <<<<<<<<<<<<<<
 * 			if len(pred) == 0 or pred[-1].seq != winPos.seq or pred[-1].end < winPos.start-1:
 * 				cScores = [ ]
 */
    __pyx_t_2 = PyFloat_FromDouble(__pyx_v_wScore); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 559, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_threshold); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 559, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = PyObject_RichCompare(__pyx_t_2, __pyx_t_1, Py_LE); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 559, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_12 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_12 < 0)) __PYX_ERR(0, 559, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__pyx_t_12) {
      goto __pyx_L7_continue;
    }

    /* "gnocis/models.pyx":560
 * 		for winPos, wScore in zip(winPosSet, winScoreSet):
 * 			if wScore <= self.threshold: continue
 * 			if len(pred) == 0 or pred[-1].seq != winPos.seq or pred[-1].end < winPos.start-1:             # <<<<<<<<<<<<<<
 * 				cScores = [ ]
 * 				pred.regions.append(winPos)
 */
    __pyx_t_11 = PyObject_Length(((PyObject *)__pyx_v_pred)); if (unlikely(__pyx_t_11 == ((Py_ssize_t)-1))) __PYX_ERR(0, 560, __pyx_L1_error)
    __pyx_t_15 = ((__pyx_t_11 == 0) != 0);
    if (!__pyx_t_15) {
    } else {
      __pyx_t_12 = __pyx_t_15;
      goto __pyx_L13_bool_binop_done;
    }
    __pyx_t_4 = __Pyx_GetItemInt(((PyObject *)__pyx_v_pred), -1L, long, 1, __Pyx_PyInt_From_long, 0, 1, 1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 560, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_seq); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 560, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_15 = (__Pyx_PyUnicode_Equals(__pyx_t_1, __pyx_v_winPos->seq, Py_NE)); if (unlikely(__pyx_t_15 < 0)) __PYX_ERR(0, 560, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (!__pyx_t_15) {
    } else {
      __pyx_t_12 = __pyx_t_15;
      goto __pyx_L13_bool_binop_done;
    }
    __pyx_t_1 = __Pyx_GetItemInt(((PyObject *)__pyx_v_pred), -1L, long, 1, __Pyx_PyInt_From_long, 0, 1, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 560, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_end); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 560, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyInt_From_PY_LONG_LONG((__pyx_v_winPos->start - 1)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 560, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_2 = PyObject_RichCompare(__pyx_t_4, __pyx_t_1, Py_LT); __Pyx_XGOTREF(__pyx_t_2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 560, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_15 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_15 < 0)) __PYX_ERR(0, 560, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_12 = __pyx_t_15;
    __pyx_L13_bool_binop_done:;
    if (__pyx_t_12) {

      /* "gnocis/models.pyx":561
 * 			if wScore <= self.threshold: continue
 * 			if len(pred) == 0 or pred[-1].seq != winPos.seq or pred[-1].end < winPos.start-1:
 * 				cScores = [ ]             # <<<<<<<<<<<<<<
 * 				pred.regions.append(winPos)
 * 			else:
 */
      __pyx_t_2 = PyList_New(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 561, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_XDECREF_SET(__pyx_v_cScores, ((PyObject*)__pyx_t_2));
      __pyx_t_2 = 0;

      /* "gnocis/models.pyx":562
 * 			if len(pred) == 0 or pred[-1].seq != winPos.seq or pred[-1].end < winPos.start-1:
 * 				cScores = [ ]
 * 				pred.regions.append(winPos)             # <<<<<<<<<<<<<<
 * 			else:
 * 				pred[-1].end = winPos.end
 */
      if (unlikely(__pyx_v_pred->regions == Py_None)) {
        PyErr_Format(PyExc_AttributeError, "'NoneType' object has no attribute '%.30s'", "append");
        __PYX_ERR(0, 562, __pyx_L1_error)
      }
      __pyx_t_10 = __Pyx_PyList_Append(__pyx_v_pred->regions, ((PyObject *)__pyx_v_winPos)); if (unlikely(__pyx_t_10 == ((int)-1))) __PYX_ERR(0, 562, __pyx_L1_error)

      /* "gnocis/models.pyx":560
 * 		for winPos, wScore in zip(winPosSet, winScoreSet):
 * 			if wScore <= self.threshold: continue
 * 			if len(pred) == 0 or pred[-1].seq != winPos.seq or pred[-1].end < winPos.start-1:             # <<<<<<<<<<<<<<
 * 				cScores = [ ]
 * 				pred.regions.append(winPos)
 */
      goto __pyx_L12;
    }

    /* "gnocis/models.pyx":564
 * 				pred.regions.append(winPos)
 * 			else:
 * 				pred[-1].end = winPos.end             # <<<<<<<<<<<<<<
 * 			cScores.append(wScore)
 * 			pred[-1].score = sum(cScores) / len(cScores)
 */
    /*else*/ {
      __pyx_t_2 = __Pyx_PyInt_From_PY_LONG_LONG(__pyx_v_winPos->end); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 564, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __pyx_t_1 = __Pyx_GetItemInt(((PyObject *)__pyx_v_pred), -1L, long, 1, __Pyx_PyInt_From_long, 0, 1, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 564, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      if (__Pyx_PyObject_SetAttrStr(__pyx_t_1, __pyx_n_s_end, __pyx_t_2) < 0) __PYX_ERR(0, 564, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
    __pyx_L12:;

    /* "gnocis/models.pyx":565
 * 			else:
 * 				pred[-1].end = winPos.end
 * 			cScores.append(wScore)             # <<<<<<<<<<<<<<
 * 			pred[-1].score = sum(cScores) / len(cScores)
 * 		pred.sort()
 */
    if (unlikely(!__pyx_v_cScores)) { __Pyx_RaiseUnboundLocalError("cScores"); __PYX_ERR(0, 565, __pyx_L1_error) }
    __pyx_t_1 = PyFloat_FromDouble(__pyx_v_wScore); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 565, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_10 = __Pyx_PyList_Append(__pyx_v_cScores, __pyx_t_1); if (unlikely(__pyx_t_10 == ((int)-1))) __PYX_ERR(0, 565, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "gnocis/models.pyx":566
 * 				pred[-1].end = winPos.end
 * 			cScores.append(wScore)
 * 			pred[-1].score = sum(cScores) / len(cScores)             # <<<<<<<<<<<<<<
 * 		pred.sort()
 * 		return pred
 */
    if (unlikely(!__pyx_v_cScores)) { __Pyx_RaiseUnboundLocalError("cScores"); __PYX_ERR(0, 566, __pyx_L1_error) }
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_v_cScores); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 566, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (unlikely(!__pyx_v_cScores)) { __Pyx_RaiseUnboundLocalError("cScores"); __PYX_ERR(0, 566, __pyx_L1_error) }
    __pyx_t_11 = PyList_GET_SIZE(__pyx_v_cScores); if (unlikely(__pyx_t_11 == ((Py_ssize_t)-1))) __PYX_ERR(0, 566, __pyx_L1_error)
    __pyx_t_2 = PyInt_FromSsize_t(__pyx_t_11); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 566, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_4 = __Pyx_PyNumber_Divide(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 566, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_GetItemInt(((PyObject *)__pyx_v_pred), -1L, long, 1, __Pyx_PyInt_From_long, 0, 1, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 566, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_2, __pyx_n_s_score, __pyx_t_4) < 0) __PYX_ERR(0, 566, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "gnocis/models.pyx":558
 * 			winScoreSet += self.getSequenceScores(winSeqSet)
 * 
 * 		for winPos, wScore in zip(winPosSet, winScoreSet):             # <<<<<<<<<<<<<<
 * 			if wScore <= self.threshold: continue
 * 			if len(pred) == 0 or pred[-1].seq != winPos.seq or pred[-1].end < winPos.start-1:
 */
    __pyx_L7_continue:;
  }
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "gnocis/models.pyx":567
 * 			cScores.append(wScore)
 * 			pred[-1].score = sum(cScores) / len(cScores)
 * 		pred.sort()             # <<<<<<<<<<<<<<
 * 		return pred
 * 
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_pred), __pyx_n_s_sort); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 567, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  __pyx_t_7 = (__pyx_t_4) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_4) : __Pyx_PyObject_CallNoArg(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
  if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 567, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "gnocis/models.pyx":568
 * 			pred[-1].score = sum(cScores) / len(cScores)
 * 		pred.sort()
 * 		return pred             # <<<<<<<<<<<<<<
 * 
 * 	# Short-hand for predictSequenceStreamRegions.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(((PyObject *)__pyx_v_pred));
  __pyx_r = ((PyObject *)__pyx_v_pred);
  goto __pyx_L0;

  /* "gnocis/models.pyx":524
 * 
 * 	# Predicts regions inside a sequence stream using a sliding window.
 * 	def predictSequenceStreamRegions(self, stream):             # <<<<<<<<<<<<<<
 * 		""" Applies the model using a sliding window across an input sequence stream or sequence set. Windows with a score >= self.threshold are predicted, and predicted windows are merged into non-overlapping predictions.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.predictSequenceStreamRegions", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF((PyObject *)__pyx_v_pred);
  __Pyx_XDECREF(__pyx_v_winPosSet);
  __Pyx_XDECREF(__pyx_v_winScoreSet);
  __Pyx_XDECREF((PyObject *)__pyx_v_winPos);
  __Pyx_XDECREF((PyObject *)__pyx_v_winSeq);
  __Pyx_XDECREF((PyObject *)__pyx_v_winSeqSet);
  __Pyx_XDECREF(__pyx_v_cScores);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":571
 * 
 * 	# Short-hand for predictSequenceStreamRegions.
 * 	def predict(self, stream):             # <<<<<<<<<<<<<<
 * 		""" Applies the model using a sliding window across an input sequence stream or sequence set. Windows with a score >= self.threshold are predicted, and predicted windows are merged into non-overlapping predictions.
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_33predict(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_6gnocis_6models_13sequenceModel_32predict[] = " Applies the model using a sliding window across an input sequence stream or sequence set. Windows with a score >= self.threshold are predicted, and predicted windows are merged into non-overlapping predictions.\n\t\t\n\t\t:param stream: Sequence material that the model is applied to for prediction.\n\t\t:type stream: sequences/sequenceStream/str\n\t\t\n\t\t:return: Set of non-overlapping (merged) predicted regions\n\t\t:rtype: regions\n\t\t";
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_33predict = {"predict", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_33predict, METH_VARARGS|METH_KEYWORDS, __pyx_doc_6gnocis_6models_13sequenceModel_32predict};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_33predict(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_stream = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("predict (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_stream,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_stream)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("predict", 1, 2, 2, 1); __PYX_ERR(0, 571, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "predict") < 0)) __PYX_ERR(0, 571, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_stream = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("predict", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 571, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.predict", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_32predict(__pyx_self, __pyx_v_self, __pyx_v_stream);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_32predict(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_stream) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  __Pyx_RefNannySetupContext("predict", 0);

  /* "gnocis/models.pyx":580
 * 		:rtype: regions
 * 		"""
 * 		return self.predictSequenceStreamRegions(stream)             # <<<<<<<<<<<<<<
 * 
 * 	# Prints out test statistics.
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_predictSequenceStreamRegions); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 580, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_3)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_3);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_3, __pyx_v_stream) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_v_stream);
  __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 580, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":571
 * 
 * 	# Short-hand for predictSequenceStreamRegions.
 * 	def predict(self, stream):             # <<<<<<<<<<<<<<
 * 		""" Applies the model using a sliding window across an input sequence stream or sequence set. Windows with a score >= self.threshold are predicted, and predicted windows are merged into non-overlapping predictions.
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.predict", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":583
 * 
 * 	# Prints out test statistics.
 * 	def printTestStatistics(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		printValidationStatistics( self.getValidationStatistics(positives, negatives) )
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_35printTestStatistics(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_13sequenceModel_35printTestStatistics = {"printTestStatistics", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_13sequenceModel_35printTestStatistics, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_13sequenceModel_35printTestStatistics(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("printTestStatistics (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_positives,&__pyx_n_s_negatives,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("printTestStatistics", 1, 3, 3, 1); __PYX_ERR(0, 583, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("printTestStatistics", 1, 3, 3, 2); __PYX_ERR(0, 583, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "printTestStatistics") < 0)) __PYX_ERR(0, 583, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("printTestStatistics", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 583, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModel.printTestStatistics", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_13sequenceModel_34printTestStatistics(__pyx_self, __pyx_v_self, __pyx_v_positives, __pyx_v_negatives);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_13sequenceModel_34printTestStatistics(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  __Pyx_RefNannySetupContext("printTestStatistics", 0);

  /* "gnocis/models.pyx":584
 * 	# Prints out test statistics.
 * 	def printTestStatistics(self, positives, negatives):
 * 		printValidationStatistics( self.getValidationStatistics(positives, negatives) )             # <<<<<<<<<<<<<<
 * 
 * # Uniformly weighted model
 */
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_printValidationStatistics); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 584, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_getValidationStatistics); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 584, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 584, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_positives, __pyx_v_negatives};
    __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 584, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 584, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_5) {
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_5); __pyx_t_5 = NULL;
    }
    __Pyx_INCREF(__pyx_v_positives);
    __Pyx_GIVEREF(__pyx_v_positives);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_v_positives);
    __Pyx_INCREF(__pyx_v_negatives);
    __Pyx_GIVEREF(__pyx_v_negatives);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_v_negatives);
    __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 584, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  __pyx_t_1 = (__pyx_t_4) ? __Pyx_PyObject_Call2Args(__pyx_t_2, __pyx_t_4, __pyx_t_3) : __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 584, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":583
 * 
 * 	# Prints out test statistics.
 * 	def printTestStatistics(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		printValidationStatistics( self.getValidationStatistics(positives, negatives) )
 * 
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("gnocis.models.sequenceModel.printTestStatistics", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":600
 * 	"""
 * 
 * 	def __init__(self, features, windowSize, windowStep):             # <<<<<<<<<<<<<<
 * 		self.threshold = 0.0
 * 		self.features = features
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_1__init__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_18sequenceModelDummy_1__init__ = {"__init__", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_18sequenceModelDummy_1__init__, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_1__init__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_features = 0;
  PyObject *__pyx_v_windowSize = 0;
  PyObject *__pyx_v_windowStep = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__init__ (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_features,&__pyx_n_s_windowSize,&__pyx_n_s_windowStep,0};
    PyObject* values[4] = {0,0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_features)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__init__", 1, 4, 4, 1); __PYX_ERR(0, 600, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_windowSize)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__init__", 1, 4, 4, 2); __PYX_ERR(0, 600, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_windowStep)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__init__", 1, 4, 4, 3); __PYX_ERR(0, 600, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) __PYX_ERR(0, 600, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 4) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
      values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
    }
    __pyx_v_self = values[0];
    __pyx_v_features = values[1];
    __pyx_v_windowSize = values[2];
    __pyx_v_windowStep = values[3];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("__init__", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 600, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModelDummy.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_18sequenceModelDummy___init__(__pyx_self, __pyx_v_self, __pyx_v_features, __pyx_v_windowSize, __pyx_v_windowStep);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_18sequenceModelDummy___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_features, PyObject *__pyx_v_windowSize, PyObject *__pyx_v_windowStep) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  __Pyx_RefNannySetupContext("__init__", 0);

  /* "gnocis/models.pyx":601
 * 
 * 	def __init__(self, features, windowSize, windowStep):
 * 		self.threshold = 0.0             # <<<<<<<<<<<<<<
 * 		self.features = features
 * 		self.windowSize, self.windowStep = windowSize, windowStep
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_threshold, __pyx_float_0_0) < 0) __PYX_ERR(0, 601, __pyx_L1_error)

  /* "gnocis/models.pyx":602
 * 	def __init__(self, features, windowSize, windowStep):
 * 		self.threshold = 0.0
 * 		self.features = features             # <<<<<<<<<<<<<<
 * 		self.windowSize, self.windowStep = windowSize, windowStep
 * 
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_features, __pyx_v_features) < 0) __PYX_ERR(0, 602, __pyx_L1_error)

  /* "gnocis/models.pyx":603
 * 		self.threshold = 0.0
 * 		self.features = features
 * 		self.windowSize, self.windowStep = windowSize, windowStep             # <<<<<<<<<<<<<<
 * 
 * 	def __str__(self):
 */
  __pyx_t_1 = __pyx_v_windowSize;
  __Pyx_INCREF(__pyx_t_1);
  __pyx_t_2 = __pyx_v_windowStep;
  __Pyx_INCREF(__pyx_t_2);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_windowSize, __pyx_t_1) < 0) __PYX_ERR(0, 603, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_windowStep, __pyx_t_2) < 0) __PYX_ERR(0, 603, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":600
 * 	"""
 * 
 * 	def __init__(self, features, windowSize, windowStep):             # <<<<<<<<<<<<<<
 * 		self.threshold = 0.0
 * 		self.features = features
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_AddTraceback("gnocis.models.sequenceModelDummy.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":605
 * 		self.windowSize, self.windowStep = windowSize, windowStep
 * 
 * 	def __str__(self):             # <<<<<<<<<<<<<<
 * 		return 'Dummy model<Features: %s>'%(str(self.features))
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_3__str__(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_18sequenceModelDummy_3__str__ = {"__str__", (PyCFunction)__pyx_pw_6gnocis_6models_18sequenceModelDummy_3__str__, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_3__str__(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__str__ (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_18sequenceModelDummy_2__str__(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_18sequenceModelDummy_2__str__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  __Pyx_RefNannySetupContext("__str__", 0);

  /* "gnocis/models.pyx":606
 * 
 * 	def __str__(self):
 * 		return 'Dummy model<Features: %s>'%(str(self.features))             # <<<<<<<<<<<<<<
 * 
 * 	def __repr__(self): return self.__str__()
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_features); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 606, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyObject_CallOneArg(((PyObject *)(&PyUnicode_Type)), __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 606, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyUnicode_Format(__pyx_kp_u_Dummy_model_Features_s, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 606, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":605
 * 		self.windowSize, self.windowStep = windowSize, windowStep
 * 
 * 	def __str__(self):             # <<<<<<<<<<<<<<
 * 		return 'Dummy model<Features: %s>'%(str(self.features))
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_AddTraceback("gnocis.models.sequenceModelDummy.__str__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":608
 * 		return 'Dummy model<Features: %s>'%(str(self.features))
 * 
 * 	def __repr__(self): return self.__str__()             # <<<<<<<<<<<<<<
 * 
 * 	def getCrossValidationConstructor(self):
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_5__repr__(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_18sequenceModelDummy_5__repr__ = {"__repr__", (PyCFunction)__pyx_pw_6gnocis_6models_18sequenceModelDummy_5__repr__, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_5__repr__(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_18sequenceModelDummy_4__repr__(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_18sequenceModelDummy_4__repr__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  __Pyx_RefNannySetupContext("__repr__", 0);
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_str); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 608, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_3)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_3);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 608, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_AddTraceback("gnocis.models.sequenceModelDummy.__repr__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":610
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_7getCrossValidationConstructor(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_18sequenceModelDummy_7getCrossValidationConstructor = {"getCrossValidationConstructor", (PyCFunction)__pyx_pw_6gnocis_6models_18sequenceModelDummy_7getCrossValidationConstructor, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_7getCrossValidationConstructor(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getCrossValidationConstructor (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_18sequenceModelDummy_6getCrossValidationConstructor(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":611
 * 
 * 	def getCrossValidationConstructor(self):
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)             # <<<<<<<<<<<<<<
 * 
 * 	def scoreWindow(self, seq):
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_29getCrossValidationConstructor_lambda13(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_18sequenceModelDummy_29getCrossValidationConstructor_lambda13 = {"lambda13", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_18sequenceModelDummy_29getCrossValidationConstructor_lambda13, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_29getCrossValidationConstructor_lambda13(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  CYTHON_UNUSED PyObject *__pyx_v_pos = 0;
  CYTHON_UNUSED PyObject *__pyx_v_neg = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("lambda13 (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_pos,&__pyx_n_s_neg,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pos)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neg)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("lambda13", 1, 2, 2, 1); __PYX_ERR(0, 611, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "lambda13") < 0)) __PYX_ERR(0, 611, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_pos = values[0];
    __pyx_v_neg = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("lambda13", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 611, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModelDummy.getCrossValidationConstructor.lambda13", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_lambda_funcdef_lambda13(__pyx_self, __pyx_v_pos, __pyx_v_neg);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_lambda_funcdef_lambda13(PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_pos, CYTHON_UNUSED PyObject *__pyx_v_neg) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *__pyx_cur_scope;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *__pyx_outer_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  int __pyx_t_7;
  PyObject *__pyx_t_8 = NULL;
  __Pyx_RefNannySetupContext("lambda13", 0);
  __pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *) __Pyx_CyFunction_GetClosure(__pyx_self);
  __pyx_cur_scope = __pyx_outer_scope;
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_latin1_sequenceModelDummy); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 611, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (unlikely(!__pyx_cur_scope->__pyx_v_self)) { __Pyx_RaiseClosureNameError("self"); __PYX_ERR(0, 611, __pyx_L1_error) }
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_v_self, __pyx_n_s_features); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 611, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  if (unlikely(!__pyx_cur_scope->__pyx_v_self)) { __Pyx_RaiseClosureNameError("self"); __PYX_ERR(0, 611, __pyx_L1_error) }
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_v_self, __pyx_n_s_windowSize); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 611, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (unlikely(!__pyx_cur_scope->__pyx_v_self)) { __Pyx_RaiseClosureNameError("self"); __PYX_ERR(0, 611, __pyx_L1_error) }
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_v_self, __pyx_n_s_windowStep); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 611, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_6 = NULL;
  __pyx_t_7 = 0;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_6)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_6);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
      __pyx_t_7 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[4] = {__pyx_t_6, __pyx_t_3, __pyx_t_4, __pyx_t_5};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 3+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 611, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[4] = {__pyx_t_6, __pyx_t_3, __pyx_t_4, __pyx_t_5};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 3+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 611, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  } else
  #endif
  {
    __pyx_t_8 = PyTuple_New(3+__pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 611, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    if (__pyx_t_6) {
      __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_6); __pyx_t_6 = NULL;
    }
    __Pyx_GIVEREF(__pyx_t_3);
    PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_7, __pyx_t_3);
    __Pyx_GIVEREF(__pyx_t_4);
    PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_7, __pyx_t_4);
    __Pyx_GIVEREF(__pyx_t_5);
    PyTuple_SET_ITEM(__pyx_t_8, 2+__pyx_t_7, __pyx_t_5);
    __pyx_t_3 = 0;
    __pyx_t_4 = 0;
    __pyx_t_5 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_8, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 611, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_AddTraceback("gnocis.models.sequenceModelDummy.getCrossValidationConstructor.lambda13", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":610
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)
 * 
 */

static PyObject *__pyx_pf_6gnocis_6models_18sequenceModelDummy_6getCrossValidationConstructor(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("getCrossValidationConstructor", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor(__pyx_ptype_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 610, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_v_self = __pyx_v_self;
  __Pyx_INCREF(__pyx_cur_scope->__pyx_v_self);
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_v_self);

  /* "gnocis/models.pyx":611
 * 
 * 	def getCrossValidationConstructor(self):
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)             # <<<<<<<<<<<<<<
 * 
 * 	def scoreWindow(self, seq):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_18sequenceModelDummy_29getCrossValidationConstructor_lambda13, 0, __pyx_n_s_sequenceModelDummy_getCrossValid, ((PyObject*)__pyx_cur_scope), __pyx_n_s_gnocis_models, __pyx_d, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 611, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":610
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("gnocis.models.sequenceModelDummy.getCrossValidationConstructor", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":613
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)
 * 
 * 	def scoreWindow(self, seq):             # <<<<<<<<<<<<<<
 * 		cdef list fv
 * 		cdef float ret, v
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_9scoreWindow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_18sequenceModelDummy_9scoreWindow = {"scoreWindow", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_18sequenceModelDummy_9scoreWindow, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_18sequenceModelDummy_9scoreWindow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_seq = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("scoreWindow (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_seq,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_seq)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("scoreWindow", 1, 2, 2, 1); __PYX_ERR(0, 613, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "scoreWindow") < 0)) __PYX_ERR(0, 613, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_seq = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("scoreWindow", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 613, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModelDummy.scoreWindow", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_18sequenceModelDummy_8scoreWindow(__pyx_self, __pyx_v_self, __pyx_v_seq);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_18sequenceModelDummy_8scoreWindow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_seq) {
  PyObject *__pyx_v_fv = 0;
  float __pyx_v_ret;
  float __pyx_v_v;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  Py_ssize_t __pyx_t_4;
  float __pyx_t_5;
  __Pyx_RefNannySetupContext("scoreWindow", 0);

  /* "gnocis/models.pyx":616
 * 		cdef list fv
 * 		cdef float ret, v
 * 		fv = self.features.getAll(seq)             # <<<<<<<<<<<<<<
 * 		ret = 0.0
 * 		for v in fv:
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_features); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 616, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_getAll); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 616, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_3);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_3, function);
    }
  }
  __pyx_t_1 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_2, __pyx_v_seq) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_seq);
  __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 616, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (!(likely(PyList_CheckExact(__pyx_t_1))||((__pyx_t_1) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_1)->tp_name), 0))) __PYX_ERR(0, 616, __pyx_L1_error)
  __pyx_v_fv = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":617
 * 		cdef float ret, v
 * 		fv = self.features.getAll(seq)
 * 		ret = 0.0             # <<<<<<<<<<<<<<
 * 		for v in fv:
 * 			ret += v
 */
  __pyx_v_ret = 0.0;

  /* "gnocis/models.pyx":618
 * 		fv = self.features.getAll(seq)
 * 		ret = 0.0
 * 		for v in fv:             # <<<<<<<<<<<<<<
 * 			ret += v
 * 		return ret
 */
  if (unlikely(__pyx_v_fv == Py_None)) {
    PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
    __PYX_ERR(0, 618, __pyx_L1_error)
  }
  __pyx_t_1 = __pyx_v_fv; __Pyx_INCREF(__pyx_t_1); __pyx_t_4 = 0;
  for (;;) {
    if (__pyx_t_4 >= PyList_GET_SIZE(__pyx_t_1)) break;
    #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    __pyx_t_3 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_4); __Pyx_INCREF(__pyx_t_3); __pyx_t_4++; if (unlikely(0 < 0)) __PYX_ERR(0, 618, __pyx_L1_error)
    #else
    __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_4); __pyx_t_4++; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 618, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    #endif
    __pyx_t_5 = __pyx_PyFloat_AsFloat(__pyx_t_3); if (unlikely((__pyx_t_5 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 618, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_v_v = __pyx_t_5;

    /* "gnocis/models.pyx":619
 * 		ret = 0.0
 * 		for v in fv:
 * 			ret += v             # <<<<<<<<<<<<<<
 * 		return ret
 * 
 */
    __pyx_v_ret = (__pyx_v_ret + __pyx_v_v);

    /* "gnocis/models.pyx":618
 * 		fv = self.features.getAll(seq)
 * 		ret = 0.0
 * 		for v in fv:             # <<<<<<<<<<<<<<
 * 			ret += v
 * 		return ret
 */
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":620
 * 		for v in fv:
 * 			ret += v
 * 		return ret             # <<<<<<<<<<<<<<
 * 
 * # Log-odds model
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyFloat_FromDouble(__pyx_v_ret); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 620, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":613
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)
 * 
 * 	def scoreWindow(self, seq):             # <<<<<<<<<<<<<<
 * 		cdef list fv
 * 		cdef float ret, v
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_AddTraceback("gnocis.models.sequenceModelDummy.scoreWindow", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_fv);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":640
 * 	"""
 * 
 * 	def __init__(self, features, trainingPositives, trainingNegatives, windowSize, windowStep):             # <<<<<<<<<<<<<<
 * 		self.threshold = 0.0
 * 		self.features = features
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_1__init__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_1__init__ = {"__init__", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_1__init__, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_1__init__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_features = 0;
  PyObject *__pyx_v_trainingPositives = 0;
  PyObject *__pyx_v_trainingNegatives = 0;
  PyObject *__pyx_v_windowSize = 0;
  PyObject *__pyx_v_windowStep = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__init__ (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_features,&__pyx_n_s_trainingPositives,&__pyx_n_s_trainingNegatives,&__pyx_n_s_windowSize,&__pyx_n_s_windowStep,0};
    PyObject* values[6] = {0,0,0,0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_features)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__init__", 1, 6, 6, 1); __PYX_ERR(0, 640, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_trainingPositives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__init__", 1, 6, 6, 2); __PYX_ERR(0, 640, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_trainingNegatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__init__", 1, 6, 6, 3); __PYX_ERR(0, 640, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  4:
        if (likely((values[4] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_windowSize)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__init__", 1, 6, 6, 4); __PYX_ERR(0, 640, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  5:
        if (likely((values[5] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_windowStep)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__init__", 1, 6, 6, 5); __PYX_ERR(0, 640, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) __PYX_ERR(0, 640, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 6) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
      values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
      values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
      values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
    }
    __pyx_v_self = values[0];
    __pyx_v_features = values[1];
    __pyx_v_trainingPositives = values[2];
    __pyx_v_trainingNegatives = values[3];
    __pyx_v_windowSize = values[4];
    __pyx_v_windowStep = values[5];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("__init__", 1, 6, 6, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 640, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_20sequenceModelLogOdds___init__(__pyx_self, __pyx_v_self, __pyx_v_features, __pyx_v_trainingPositives, __pyx_v_trainingNegatives, __pyx_v_windowSize, __pyx_v_windowStep);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_20sequenceModelLogOdds_8__init___2generator10(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":648
 * 		self.sortedweights = []
 * 		for f in features:
 * 			vPos = sum( f.get(s) for s in trainingPositives )             # <<<<<<<<<<<<<<
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )
 * 			if vPos == 0.0 or vNeg == 0.0:
 */

static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_8__init___genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_19_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_19_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 648, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_20sequenceModelLogOdds_8__init___2generator10, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_sequenceModelLogOdds___init___lo, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 648, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.__init__.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_20sequenceModelLogOdds_8__init___2generator10(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  PyObject *(*__pyx_t_3)(PyObject *);
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    case 1: goto __pyx_L6_resume_from_yield;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 648, __pyx_L1_error)
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_trainingPositives)) { __Pyx_RaiseClosureNameError("trainingPositives"); __PYX_ERR(0, 648, __pyx_L1_error) }
  if (likely(PyList_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_trainingPositives)) || PyTuple_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_trainingPositives)) {
    __pyx_t_1 = __pyx_cur_scope->__pyx_outer_scope->__pyx_v_trainingPositives; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
    __pyx_t_3 = NULL;
  } else {
    __pyx_t_2 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_trainingPositives); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 648, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 648, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_3)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_2 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 648, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 648, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      } else {
        if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 648, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 648, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      }
    } else {
      __pyx_t_4 = __pyx_t_3(__pyx_t_1);
      if (unlikely(!__pyx_t_4)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 648, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_4);
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_s);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_s, __pyx_t_4);
    __Pyx_GIVEREF(__pyx_t_4);
    __pyx_t_4 = 0;
    if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_f)) { __Pyx_RaiseClosureNameError("f"); __PYX_ERR(0, 648, __pyx_L1_error) }
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_f, __pyx_n_s_get); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 648, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_6 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    __pyx_t_4 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_6, __pyx_cur_scope->__pyx_v_s) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_cur_scope->__pyx_v_s);
    __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
    if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 648, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_r = __pyx_t_4;
    __pyx_t_4 = 0;
    __Pyx_XGIVEREF(__pyx_t_1);
    __pyx_cur_scope->__pyx_t_0 = __pyx_t_1;
    __pyx_cur_scope->__pyx_t_1 = __pyx_t_2;
    __pyx_cur_scope->__pyx_t_2 = __pyx_t_3;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
    /* return from generator, yielding value */
    __pyx_generator->resume_label = 1;
    return __pyx_r;
    __pyx_L6_resume_from_yield:;
    __pyx_t_1 = __pyx_cur_scope->__pyx_t_0;
    __pyx_cur_scope->__pyx_t_0 = 0;
    __Pyx_XGOTREF(__pyx_t_1);
    __pyx_t_2 = __pyx_cur_scope->__pyx_t_1;
    __pyx_t_3 = __pyx_cur_scope->__pyx_t_2;
    if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 648, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* function exit code */
  PyErr_SetNone(PyExc_StopIteration);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}
static PyObject *__pyx_gb_6gnocis_6models_20sequenceModelLogOdds_8__init___5generator11(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value); /* proto */

/* "gnocis/models.pyx":649
 * 		for f in features:
 * 			vPos = sum( f.get(s) for s in trainingPositives )
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )             # <<<<<<<<<<<<<<
 * 			if vPos == 0.0 or vNeg == 0.0:
 * 				vPos += 1.0
 */

static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_8__init___3genexpr(PyObject *__pyx_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_20_genexpr(__pyx_ptype_6gnocis_6models___pyx_scope_struct_20_genexpr, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 649, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *) __pyx_self;
  __Pyx_INCREF(((PyObject *)__pyx_cur_scope->__pyx_outer_scope));
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_outer_scope);
  {
    __pyx_CoroutineObject *gen = __Pyx_Generator_New((__pyx_coroutine_body_t) __pyx_gb_6gnocis_6models_20sequenceModelLogOdds_8__init___5generator11, NULL, (PyObject *) __pyx_cur_scope, __pyx_n_s_genexpr, __pyx_n_s_sequenceModelLogOdds___init___lo, __pyx_n_s_gnocis_models); if (unlikely(!gen)) __PYX_ERR(0, 649, __pyx_L1_error)
    __Pyx_DECREF(__pyx_cur_scope);
    __Pyx_RefNannyFinishContext();
    return (PyObject *) gen;
  }

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.__init__.genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_gb_6gnocis_6models_20sequenceModelLogOdds_8__init___5generator11(__pyx_CoroutineObject *__pyx_generator, CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject *__pyx_sent_value) /* generator body */
{
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *__pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *)__pyx_generator->closure);
  PyObject *__pyx_r = NULL;
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  PyObject *(*__pyx_t_3)(PyObject *);
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("genexpr", 0);
  switch (__pyx_generator->resume_label) {
    case 0: goto __pyx_L3_first_run;
    case 1: goto __pyx_L6_resume_from_yield;
    default: /* CPython raises the right error here */
    __Pyx_RefNannyFinishContext();
    return NULL;
  }
  __pyx_L3_first_run:;
  if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 649, __pyx_L1_error)
  if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_trainingNegatives)) { __Pyx_RaiseClosureNameError("trainingNegatives"); __PYX_ERR(0, 649, __pyx_L1_error) }
  if (likely(PyList_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_trainingNegatives)) || PyTuple_CheckExact(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_trainingNegatives)) {
    __pyx_t_1 = __pyx_cur_scope->__pyx_outer_scope->__pyx_v_trainingNegatives; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
    __pyx_t_3 = NULL;
  } else {
    __pyx_t_2 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_trainingNegatives); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 649, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_3 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 649, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_3)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_2 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 649, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 649, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      } else {
        if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_4 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_4); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(0, 649, __pyx_L1_error)
        #else
        __pyx_t_4 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 649, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        #endif
      }
    } else {
      __pyx_t_4 = __pyx_t_3(__pyx_t_1);
      if (unlikely(!__pyx_t_4)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 649, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_4);
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_s);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_s, __pyx_t_4);
    __Pyx_GIVEREF(__pyx_t_4);
    __pyx_t_4 = 0;
    if (unlikely(!__pyx_cur_scope->__pyx_outer_scope->__pyx_v_f)) { __Pyx_RaiseClosureNameError("f"); __PYX_ERR(0, 649, __pyx_L1_error) }
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_outer_scope->__pyx_v_f, __pyx_n_s_get); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 649, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_6 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    __pyx_t_4 = (__pyx_t_6) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_6, __pyx_cur_scope->__pyx_v_s) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_cur_scope->__pyx_v_s);
    __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
    if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 649, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_r = __pyx_t_4;
    __pyx_t_4 = 0;
    __Pyx_XGIVEREF(__pyx_t_1);
    __pyx_cur_scope->__pyx_t_0 = __pyx_t_1;
    __pyx_cur_scope->__pyx_t_1 = __pyx_t_2;
    __pyx_cur_scope->__pyx_t_2 = __pyx_t_3;
    __Pyx_XGIVEREF(__pyx_r);
    __Pyx_RefNannyFinishContext();
    __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
    /* return from generator, yielding value */
    __pyx_generator->resume_label = 1;
    return __pyx_r;
    __pyx_L6_resume_from_yield:;
    __pyx_t_1 = __pyx_cur_scope->__pyx_t_0;
    __pyx_cur_scope->__pyx_t_0 = 0;
    __Pyx_XGOTREF(__pyx_t_1);
    __pyx_t_2 = __pyx_cur_scope->__pyx_t_1;
    __pyx_t_3 = __pyx_cur_scope->__pyx_t_2;
    if (unlikely(!__pyx_sent_value)) __PYX_ERR(0, 649, __pyx_L1_error)
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  CYTHON_MAYBE_UNUSED_VAR(__pyx_cur_scope);

  /* function exit code */
  PyErr_SetNone(PyExc_StopIteration);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_AddTraceback("genexpr", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_r); __pyx_r = 0;
  #if !CYTHON_USE_EXC_INFO_STACK
  __Pyx_Coroutine_ResetAndClearException(__pyx_generator);
  #endif
  __pyx_generator->resume_label = -1;
  __Pyx_Coroutine_clear((PyObject*)__pyx_generator);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":640
 * 	"""
 * 
 * 	def __init__(self, features, trainingPositives, trainingNegatives, windowSize, windowStep):             # <<<<<<<<<<<<<<
 * 		self.threshold = 0.0
 * 		self.features = features
 */

static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds___init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_features, PyObject *__pyx_v_trainingPositives, PyObject *__pyx_v_trainingNegatives, PyObject *__pyx_v_windowSize, PyObject *__pyx_v_windowStep) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *__pyx_cur_scope;
  PyObject *__pyx_v_vPos = NULL;
  PyObject *__pyx_v_vNeg = NULL;
  PyObject *__pyx_v_weight = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  Py_ssize_t __pyx_t_3;
  PyObject *(*__pyx_t_4)(PyObject *);
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  int __pyx_t_7;
  PyObject *__pyx_t_8 = NULL;
  PyObject *__pyx_t_9 = NULL;
  Py_ssize_t __pyx_t_10;
  PyObject *__pyx_t_11 = NULL;
  PyObject *__pyx_t_12 = NULL;
  int __pyx_t_13;
  __Pyx_RefNannySetupContext("__init__", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_18___init__(__pyx_ptype_6gnocis_6models___pyx_scope_struct_18___init__, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 640, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_v_trainingPositives = __pyx_v_trainingPositives;
  __Pyx_INCREF(__pyx_cur_scope->__pyx_v_trainingPositives);
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_v_trainingPositives);
  __pyx_cur_scope->__pyx_v_trainingNegatives = __pyx_v_trainingNegatives;
  __Pyx_INCREF(__pyx_cur_scope->__pyx_v_trainingNegatives);
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_v_trainingNegatives);

  /* "gnocis/models.pyx":641
 * 
 * 	def __init__(self, features, trainingPositives, trainingNegatives, windowSize, windowStep):
 * 		self.threshold = 0.0             # <<<<<<<<<<<<<<
 * 		self.features = features
 * 		self.trainingPositives, self.trainingNegatives = trainingPositives, trainingNegatives
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_threshold, __pyx_float_0_0) < 0) __PYX_ERR(0, 641, __pyx_L1_error)

  /* "gnocis/models.pyx":642
 * 	def __init__(self, features, trainingPositives, trainingNegatives, windowSize, windowStep):
 * 		self.threshold = 0.0
 * 		self.features = features             # <<<<<<<<<<<<<<
 * 		self.trainingPositives, self.trainingNegatives = trainingPositives, trainingNegatives
 * 		self.windowSize, self.windowStep = windowSize, windowStep
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_features, __pyx_v_features) < 0) __PYX_ERR(0, 642, __pyx_L1_error)

  /* "gnocis/models.pyx":643
 * 		self.threshold = 0.0
 * 		self.features = features
 * 		self.trainingPositives, self.trainingNegatives = trainingPositives, trainingNegatives             # <<<<<<<<<<<<<<
 * 		self.windowSize, self.windowStep = windowSize, windowStep
 * 		self.weights = {}
 */
  __pyx_t_1 = __pyx_cur_scope->__pyx_v_trainingPositives;
  __Pyx_INCREF(__pyx_t_1);
  __pyx_t_2 = __pyx_cur_scope->__pyx_v_trainingNegatives;
  __Pyx_INCREF(__pyx_t_2);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_trainingPositives, __pyx_t_1) < 0) __PYX_ERR(0, 643, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_trainingNegatives, __pyx_t_2) < 0) __PYX_ERR(0, 643, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":644
 * 		self.features = features
 * 		self.trainingPositives, self.trainingNegatives = trainingPositives, trainingNegatives
 * 		self.windowSize, self.windowStep = windowSize, windowStep             # <<<<<<<<<<<<<<
 * 		self.weights = {}
 * 		self.sortedweights = []
 */
  __pyx_t_2 = __pyx_v_windowSize;
  __Pyx_INCREF(__pyx_t_2);
  __pyx_t_1 = __pyx_v_windowStep;
  __Pyx_INCREF(__pyx_t_1);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_windowSize, __pyx_t_2) < 0) __PYX_ERR(0, 644, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_windowStep, __pyx_t_1) < 0) __PYX_ERR(0, 644, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":645
 * 		self.trainingPositives, self.trainingNegatives = trainingPositives, trainingNegatives
 * 		self.windowSize, self.windowStep = windowSize, windowStep
 * 		self.weights = {}             # <<<<<<<<<<<<<<
 * 		self.sortedweights = []
 * 		for f in features:
 */
  __pyx_t_1 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 645, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_weights, __pyx_t_1) < 0) __PYX_ERR(0, 645, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":646
 * 		self.windowSize, self.windowStep = windowSize, windowStep
 * 		self.weights = {}
 * 		self.sortedweights = []             # <<<<<<<<<<<<<<
 * 		for f in features:
 * 			vPos = sum( f.get(s) for s in trainingPositives )
 */
  __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 646, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_sortedweights, __pyx_t_1) < 0) __PYX_ERR(0, 646, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":647
 * 		self.weights = {}
 * 		self.sortedweights = []
 * 		for f in features:             # <<<<<<<<<<<<<<
 * 			vPos = sum( f.get(s) for s in trainingPositives )
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )
 */
  if (likely(PyList_CheckExact(__pyx_v_features)) || PyTuple_CheckExact(__pyx_v_features)) {
    __pyx_t_1 = __pyx_v_features; __Pyx_INCREF(__pyx_t_1); __pyx_t_3 = 0;
    __pyx_t_4 = NULL;
  } else {
    __pyx_t_3 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_v_features); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 647, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 647, __pyx_L1_error)
  }
  for (;;) {
    if (likely(!__pyx_t_4)) {
      if (likely(PyList_CheckExact(__pyx_t_1))) {
        if (__pyx_t_3 >= PyList_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_2 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_3); __Pyx_INCREF(__pyx_t_2); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(0, 647, __pyx_L1_error)
        #else
        __pyx_t_2 = PySequence_ITEM(__pyx_t_1, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 647, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_2);
        #endif
      } else {
        if (__pyx_t_3 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        __pyx_t_2 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_3); __Pyx_INCREF(__pyx_t_2); __pyx_t_3++; if (unlikely(0 < 0)) __PYX_ERR(0, 647, __pyx_L1_error)
        #else
        __pyx_t_2 = PySequence_ITEM(__pyx_t_1, __pyx_t_3); __pyx_t_3++; if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 647, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_2);
        #endif
      }
    } else {
      __pyx_t_2 = __pyx_t_4(__pyx_t_1);
      if (unlikely(!__pyx_t_2)) {
        PyObject* exc_type = PyErr_Occurred();
        if (exc_type) {
          if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
          else __PYX_ERR(0, 647, __pyx_L1_error)
        }
        break;
      }
      __Pyx_GOTREF(__pyx_t_2);
    }
    __Pyx_XGOTREF(__pyx_cur_scope->__pyx_v_f);
    __Pyx_XDECREF_SET(__pyx_cur_scope->__pyx_v_f, __pyx_t_2);
    __Pyx_GIVEREF(__pyx_t_2);
    __pyx_t_2 = 0;

    /* "gnocis/models.pyx":648
 * 		self.sortedweights = []
 * 		for f in features:
 * 			vPos = sum( f.get(s) for s in trainingPositives )             # <<<<<<<<<<<<<<
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )
 * 			if vPos == 0.0 or vNeg == 0.0:
 */
    __pyx_t_2 = __pyx_pf_6gnocis_6models_20sequenceModelLogOdds_8__init___genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 648, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_5 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_t_2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 648, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XDECREF_SET(__pyx_v_vPos, __pyx_t_5);
    __pyx_t_5 = 0;

    /* "gnocis/models.pyx":649
 * 		for f in features:
 * 			vPos = sum( f.get(s) for s in trainingPositives )
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )             # <<<<<<<<<<<<<<
 * 			if vPos == 0.0 or vNeg == 0.0:
 * 				vPos += 1.0
 */
    __pyx_t_5 = __pyx_pf_6gnocis_6models_20sequenceModelLogOdds_8__init___3genexpr(((PyObject*)__pyx_cur_scope)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 649, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_t_5); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 649, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_XDECREF_SET(__pyx_v_vNeg, __pyx_t_2);
    __pyx_t_2 = 0;

    /* "gnocis/models.pyx":650
 * 			vPos = sum( f.get(s) for s in trainingPositives )
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )
 * 			if vPos == 0.0 or vNeg == 0.0:             # <<<<<<<<<<<<<<
 * 				vPos += 1.0
 * 				vNeg += 1.0
 */
    __pyx_t_2 = __Pyx_PyFloat_EqObjC(__pyx_v_vPos, __pyx_float_0_0, 0.0, 0, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 650, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_7 < 0)) __PYX_ERR(0, 650, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (!__pyx_t_7) {
    } else {
      __pyx_t_6 = __pyx_t_7;
      goto __pyx_L6_bool_binop_done;
    }
    __pyx_t_2 = __Pyx_PyFloat_EqObjC(__pyx_v_vNeg, __pyx_float_0_0, 0.0, 0, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 650, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_7 < 0)) __PYX_ERR(0, 650, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_6 = __pyx_t_7;
    __pyx_L6_bool_binop_done:;
    if (__pyx_t_6) {

      /* "gnocis/models.pyx":651
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )
 * 			if vPos == 0.0 or vNeg == 0.0:
 * 				vPos += 1.0             # <<<<<<<<<<<<<<
 * 				vNeg += 1.0
 * 			weight = math.log(vPos) - math.log(float(len(trainingPositives))) - (math.log(vNeg) - math.log(float(len(trainingNegatives))))
 */
      __pyx_t_2 = __Pyx_PyFloat_AddObjC(__pyx_v_vPos, __pyx_float_1_0, 1.0, 1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 651, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF_SET(__pyx_v_vPos, __pyx_t_2);
      __pyx_t_2 = 0;

      /* "gnocis/models.pyx":652
 * 			if vPos == 0.0 or vNeg == 0.0:
 * 				vPos += 1.0
 * 				vNeg += 1.0             # <<<<<<<<<<<<<<
 * 			weight = math.log(vPos) - math.log(float(len(trainingPositives))) - (math.log(vNeg) - math.log(float(len(trainingNegatives))))
 * 			self.weights[f] = weight
 */
      __pyx_t_2 = __Pyx_PyFloat_AddObjC(__pyx_v_vNeg, __pyx_float_1_0, 1.0, 1, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 652, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF_SET(__pyx_v_vNeg, __pyx_t_2);
      __pyx_t_2 = 0;

      /* "gnocis/models.pyx":650
 * 			vPos = sum( f.get(s) for s in trainingPositives )
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )
 * 			if vPos == 0.0 or vNeg == 0.0:             # <<<<<<<<<<<<<<
 * 				vPos += 1.0
 * 				vNeg += 1.0
 */
    }

    /* "gnocis/models.pyx":653
 * 				vPos += 1.0
 * 				vNeg += 1.0
 * 			weight = math.log(vPos) - math.log(float(len(trainingPositives))) - (math.log(vNeg) - math.log(float(len(trainingNegatives))))             # <<<<<<<<<<<<<<
 * 			self.weights[f] = weight
 * 			self.sortedweights.append(weight)
 */
    __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_math); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_log); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) {
      __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_8);
      if (likely(__pyx_t_5)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
        __Pyx_INCREF(__pyx_t_5);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_8, function);
      }
    }
    __pyx_t_2 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_8, __pyx_t_5, __pyx_v_vPos) : __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_v_vPos);
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __Pyx_GetModuleGlobalName(__pyx_t_5, __pyx_n_s_math); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_log); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __pyx_cur_scope->__pyx_v_trainingPositives;
    __Pyx_INCREF(__pyx_t_5);
    __pyx_t_10 = PyObject_Length(__pyx_t_5); if (unlikely(__pyx_t_10 == ((Py_ssize_t)-1))) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = PyFloat_FromDouble(((double)__pyx_t_10)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_11 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_9))) {
      __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_9);
      if (likely(__pyx_t_11)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
        __Pyx_INCREF(__pyx_t_11);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_9, function);
      }
    }
    __pyx_t_8 = (__pyx_t_11) ? __Pyx_PyObject_Call2Args(__pyx_t_9, __pyx_t_11, __pyx_t_5) : __Pyx_PyObject_CallOneArg(__pyx_t_9, __pyx_t_5);
    __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = PyNumber_Subtract(__pyx_t_2, __pyx_t_8); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_math); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_log); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_2)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    __pyx_t_8 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_5, __pyx_t_2, __pyx_v_vNeg) : __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_v_vNeg);
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_math); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_log); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_11);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __pyx_cur_scope->__pyx_v_trainingNegatives;
    __Pyx_INCREF(__pyx_t_2);
    __pyx_t_10 = PyObject_Length(__pyx_t_2); if (unlikely(__pyx_t_10 == ((Py_ssize_t)-1))) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = PyFloat_FromDouble(((double)__pyx_t_10)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_12 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) {
      __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11);
      if (likely(__pyx_t_12)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11);
        __Pyx_INCREF(__pyx_t_12);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_11, function);
      }
    }
    __pyx_t_5 = (__pyx_t_12) ? __Pyx_PyObject_Call2Args(__pyx_t_11, __pyx_t_12, __pyx_t_2) : __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_2);
    __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    __pyx_t_11 = PyNumber_Subtract(__pyx_t_8, __pyx_t_5); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_11);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = PyNumber_Subtract(__pyx_t_9, __pyx_t_11); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 653, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    __Pyx_XDECREF_SET(__pyx_v_weight, __pyx_t_5);
    __pyx_t_5 = 0;

    /* "gnocis/models.pyx":654
 * 				vNeg += 1.0
 * 			weight = math.log(vPos) - math.log(float(len(trainingPositives))) - (math.log(vNeg) - math.log(float(len(trainingNegatives))))
 * 			self.weights[f] = weight             # <<<<<<<<<<<<<<
 * 			self.sortedweights.append(weight)
 * 
 */
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weights); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 654, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    if (unlikely(PyObject_SetItem(__pyx_t_5, __pyx_cur_scope->__pyx_v_f, __pyx_v_weight) < 0)) __PYX_ERR(0, 654, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "gnocis/models.pyx":655
 * 			weight = math.log(vPos) - math.log(float(len(trainingPositives))) - (math.log(vNeg) - math.log(float(len(trainingNegatives))))
 * 			self.weights[f] = weight
 * 			self.sortedweights.append(weight)             # <<<<<<<<<<<<<<
 * 
 * 	def __str__(self):
 */
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_sortedweights); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 655, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_13 = __Pyx_PyObject_Append(__pyx_t_5, __pyx_v_weight); if (unlikely(__pyx_t_13 == ((int)-1))) __PYX_ERR(0, 655, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "gnocis/models.pyx":647
 * 		self.weights = {}
 * 		self.sortedweights = []
 * 		for f in features:             # <<<<<<<<<<<<<<
 * 			vPos = sum( f.get(s) for s in trainingPositives )
 * 			vNeg = sum( f.get(s) for s in trainingNegatives )
 */
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":640
 * 	"""
 * 
 * 	def __init__(self, features, trainingPositives, trainingNegatives, windowSize, windowStep):             # <<<<<<<<<<<<<<
 * 		self.threshold = 0.0
 * 		self.features = features
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_XDECREF(__pyx_t_11);
  __Pyx_XDECREF(__pyx_t_12);
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_vPos);
  __Pyx_XDECREF(__pyx_v_vNeg);
  __Pyx_XDECREF(__pyx_v_weight);
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":657
 * 			self.sortedweights.append(weight)
 * 
 * 	def __str__(self):             # <<<<<<<<<<<<<<
 * 		return 'Log-odds model<Features: %s; Positives: %s; Negatives: %s>'%(str(self.features), str(self.trainingPositives), str(self.trainingNegatives))
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_3__str__(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_3__str__ = {"__str__", (PyCFunction)__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_3__str__, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_3__str__(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__str__ (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_20sequenceModelLogOdds_2__str__(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_2__str__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  Py_UCS4 __pyx_t_3;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  __Pyx_RefNannySetupContext("__str__", 0);

  /* "gnocis/models.pyx":658
 * 
 * 	def __str__(self):
 * 		return 'Log-odds model<Features: %s; Positives: %s; Negatives: %s>'%(str(self.features), str(self.trainingPositives), str(self.trainingNegatives))             # <<<<<<<<<<<<<<
 * 
 * 	def __repr__(self): return self.__str__()
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyTuple_New(7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 658, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = 0;
  __pyx_t_3 = 127;
  __Pyx_INCREF(__pyx_kp_u_Log_odds_model_Features);
  __pyx_t_2 += 25;
  __Pyx_GIVEREF(__pyx_kp_u_Log_odds_model_Features);
  PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_kp_u_Log_odds_model_Features);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_features); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 658, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_CallOneArg(((PyObject *)(&PyUnicode_Type)), __pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 658, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_3 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_5) > __pyx_t_3) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_5) : __pyx_t_3;
  __pyx_t_2 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_5);
  __Pyx_GIVEREF(__pyx_t_5);
  PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_t_5);
  __pyx_t_5 = 0;
  __Pyx_INCREF(__pyx_kp_u_Positives);
  __pyx_t_2 += 13;
  __Pyx_GIVEREF(__pyx_kp_u_Positives);
  PyTuple_SET_ITEM(__pyx_t_1, 2, __pyx_kp_u_Positives);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_trainingPositives); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 658, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_4 = __Pyx_PyObject_CallOneArg(((PyObject *)(&PyUnicode_Type)), __pyx_t_5); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 658, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_3 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_4) > __pyx_t_3) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_4) : __pyx_t_3;
  __pyx_t_2 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_4);
  __Pyx_GIVEREF(__pyx_t_4);
  PyTuple_SET_ITEM(__pyx_t_1, 3, __pyx_t_4);
  __pyx_t_4 = 0;
  __Pyx_INCREF(__pyx_kp_u_Negatives);
  __pyx_t_2 += 13;
  __Pyx_GIVEREF(__pyx_kp_u_Negatives);
  PyTuple_SET_ITEM(__pyx_t_1, 4, __pyx_kp_u_Negatives);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_trainingNegatives); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 658, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_CallOneArg(((PyObject *)(&PyUnicode_Type)), __pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 658, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_3 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_5) > __pyx_t_3) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_5) : __pyx_t_3;
  __pyx_t_2 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_5);
  __Pyx_GIVEREF(__pyx_t_5);
  PyTuple_SET_ITEM(__pyx_t_1, 5, __pyx_t_5);
  __pyx_t_5 = 0;
  __Pyx_INCREF(__pyx_kp_u__5);
  __pyx_t_2 += 1;
  __Pyx_GIVEREF(__pyx_kp_u__5);
  PyTuple_SET_ITEM(__pyx_t_1, 6, __pyx_kp_u__5);
  __pyx_t_5 = __Pyx_PyUnicode_Join(__pyx_t_1, 7, __pyx_t_2, __pyx_t_3); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 658, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_r = __pyx_t_5;
  __pyx_t_5 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":657
 * 			self.sortedweights.append(weight)
 * 
 * 	def __str__(self):             # <<<<<<<<<<<<<<
 * 		return 'Log-odds model<Features: %s; Positives: %s; Negatives: %s>'%(str(self.features), str(self.trainingPositives), str(self.trainingNegatives))
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.__str__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":660
 * 		return 'Log-odds model<Features: %s; Positives: %s; Negatives: %s>'%(str(self.features), str(self.trainingPositives), str(self.trainingNegatives))
 * 
 * 	def __repr__(self): return self.__str__()             # <<<<<<<<<<<<<<
 * 
 * 	def getCrossValidationConstructor(self):
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_5__repr__(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_5__repr__ = {"__repr__", (PyCFunction)__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_5__repr__, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_5__repr__(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__repr__ (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_20sequenceModelLogOdds_4__repr__(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_4__repr__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  __Pyx_RefNannySetupContext("__repr__", 0);
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_str); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 660, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_3)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_3);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  __pyx_t_1 = (__pyx_t_3) ? __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_3) : __Pyx_PyObject_CallNoArg(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 660, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.__repr__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":662
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_7getCrossValidationConstructor(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_7getCrossValidationConstructor = {"getCrossValidationConstructor", (PyCFunction)__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_7getCrossValidationConstructor, METH_O, 0};
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_7getCrossValidationConstructor(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("getCrossValidationConstructor (wrapper)", 0);
  __pyx_r = __pyx_pf_6gnocis_6models_20sequenceModelLogOdds_6getCrossValidationConstructor(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":663
 * 
 * 	def getCrossValidationConstructor(self):
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)             # <<<<<<<<<<<<<<
 * 
 * 	def scoreWindow(self, seq):
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_29getCrossValidationConstructor_lambda16(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_29getCrossValidationConstructor_lambda16 = {"lambda16", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_29getCrossValidationConstructor_lambda16, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_29getCrossValidationConstructor_lambda16(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_pos = 0;
  PyObject *__pyx_v_neg = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("lambda16 (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_pos,&__pyx_n_s_neg,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pos)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_neg)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("lambda16", 1, 2, 2, 1); __PYX_ERR(0, 663, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "lambda16") < 0)) __PYX_ERR(0, 663, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_pos = values[0];
    __pyx_v_neg = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("lambda16", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 663, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.getCrossValidationConstructor.lambda16", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_lambda_funcdef_lambda16(__pyx_self, __pyx_v_pos, __pyx_v_neg);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_lambda_funcdef_lambda16(PyObject *__pyx_self, PyObject *__pyx_v_pos, PyObject *__pyx_v_neg) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *__pyx_cur_scope;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *__pyx_outer_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  int __pyx_t_7;
  PyObject *__pyx_t_8 = NULL;
  __Pyx_RefNannySetupContext("lambda16", 0);
  __pyx_outer_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *) __Pyx_CyFunction_GetClosure(__pyx_self);
  __pyx_cur_scope = __pyx_outer_scope;
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_latin1_sequenceModelLogOdds); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 663, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (unlikely(!__pyx_cur_scope->__pyx_v_self)) { __Pyx_RaiseClosureNameError("self"); __PYX_ERR(0, 663, __pyx_L1_error) }
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_v_self, __pyx_n_s_features); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 663, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  if (unlikely(!__pyx_cur_scope->__pyx_v_self)) { __Pyx_RaiseClosureNameError("self"); __PYX_ERR(0, 663, __pyx_L1_error) }
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_v_self, __pyx_n_s_windowSize); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 663, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (unlikely(!__pyx_cur_scope->__pyx_v_self)) { __Pyx_RaiseClosureNameError("self"); __PYX_ERR(0, 663, __pyx_L1_error) }
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_cur_scope->__pyx_v_self, __pyx_n_s_windowStep); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 663, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_6 = NULL;
  __pyx_t_7 = 0;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_6)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_6);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
      __pyx_t_7 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[6] = {__pyx_t_6, __pyx_t_3, __pyx_v_pos, __pyx_v_neg, __pyx_t_4, __pyx_t_5};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 5+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 663, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[6] = {__pyx_t_6, __pyx_t_3, __pyx_v_pos, __pyx_v_neg, __pyx_t_4, __pyx_t_5};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_7, 5+__pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 663, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  } else
  #endif
  {
    __pyx_t_8 = PyTuple_New(5+__pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 663, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    if (__pyx_t_6) {
      __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_6); __pyx_t_6 = NULL;
    }
    __Pyx_GIVEREF(__pyx_t_3);
    PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_7, __pyx_t_3);
    __Pyx_INCREF(__pyx_v_pos);
    __Pyx_GIVEREF(__pyx_v_pos);
    PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_7, __pyx_v_pos);
    __Pyx_INCREF(__pyx_v_neg);
    __Pyx_GIVEREF(__pyx_v_neg);
    PyTuple_SET_ITEM(__pyx_t_8, 2+__pyx_t_7, __pyx_v_neg);
    __Pyx_GIVEREF(__pyx_t_4);
    PyTuple_SET_ITEM(__pyx_t_8, 3+__pyx_t_7, __pyx_t_4);
    __Pyx_GIVEREF(__pyx_t_5);
    PyTuple_SET_ITEM(__pyx_t_8, 4+__pyx_t_7, __pyx_t_5);
    __pyx_t_3 = 0;
    __pyx_t_4 = 0;
    __pyx_t_5 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_8, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 663, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.getCrossValidationConstructor.lambda16", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":662
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)
 * 
 */

static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_6getCrossValidationConstructor(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *__pyx_cur_scope;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("getCrossValidationConstructor", 0);
  __pyx_cur_scope = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *)__pyx_tp_new_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor(__pyx_ptype_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor, __pyx_empty_tuple, NULL);
  if (unlikely(!__pyx_cur_scope)) {
    __pyx_cur_scope = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *)Py_None);
    __Pyx_INCREF(Py_None);
    __PYX_ERR(0, 662, __pyx_L1_error)
  } else {
    __Pyx_GOTREF(__pyx_cur_scope);
  }
  __pyx_cur_scope->__pyx_v_self = __pyx_v_self;
  __Pyx_INCREF(__pyx_cur_scope->__pyx_v_self);
  __Pyx_GIVEREF(__pyx_cur_scope->__pyx_v_self);

  /* "gnocis/models.pyx":663
 * 
 * 	def getCrossValidationConstructor(self):
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)             # <<<<<<<<<<<<<<
 * 
 * 	def scoreWindow(self, seq):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_29getCrossValidationConstructor_lambda16, 0, __pyx_n_s_sequenceModelLogOdds_getCrossVal, ((PyObject*)__pyx_cur_scope), __pyx_n_s_gnocis_models, __pyx_d, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 663, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":662
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.getCrossValidationConstructor", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_DECREF(((PyObject *)__pyx_cur_scope));
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":665
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)
 * 
 * 	def scoreWindow(self, seq):             # <<<<<<<<<<<<<<
 * 		cdef list fv, w
 * 		cdef int i
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_9scoreWindow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_9scoreWindow = {"scoreWindow", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_9scoreWindow, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_20sequenceModelLogOdds_9scoreWindow(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_seq = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("scoreWindow (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_seq,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_seq)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("scoreWindow", 1, 2, 2, 1); __PYX_ERR(0, 665, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "scoreWindow") < 0)) __PYX_ERR(0, 665, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_seq = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("scoreWindow", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 665, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.scoreWindow", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_20sequenceModelLogOdds_8scoreWindow(__pyx_self, __pyx_v_self, __pyx_v_seq);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_20sequenceModelLogOdds_8scoreWindow(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_seq) {
  PyObject *__pyx_v_fv = 0;
  PyObject *__pyx_v_w = 0;
  int __pyx_v_i;
  float __pyx_v_ret;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  Py_ssize_t __pyx_t_4;
  Py_ssize_t __pyx_t_5;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  float __pyx_t_8;
  __Pyx_RefNannySetupContext("scoreWindow", 0);

  /* "gnocis/models.pyx":668
 * 		cdef list fv, w
 * 		cdef int i
 * 		cdef float ret = 0.0             # <<<<<<<<<<<<<<
 * 		w = self.sortedweights
 * 		fv = self.features.getAll(seq)
 */
  __pyx_v_ret = 0.0;

  /* "gnocis/models.pyx":669
 * 		cdef int i
 * 		cdef float ret = 0.0
 * 		w = self.sortedweights             # <<<<<<<<<<<<<<
 * 		fv = self.features.getAll(seq)
 * 		for i in range(len(fv)):
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_sortedweights); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 669, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (!(likely(PyList_CheckExact(__pyx_t_1))||((__pyx_t_1) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_1)->tp_name), 0))) __PYX_ERR(0, 669, __pyx_L1_error)
  __pyx_v_w = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":670
 * 		cdef float ret = 0.0
 * 		w = self.sortedweights
 * 		fv = self.features.getAll(seq)             # <<<<<<<<<<<<<<
 * 		for i in range(len(fv)):
 * 			ret += fv[i] * w[i]
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_features); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 670, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_getAll); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 670, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_3);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_3, function);
    }
  }
  __pyx_t_1 = (__pyx_t_2) ? __Pyx_PyObject_Call2Args(__pyx_t_3, __pyx_t_2, __pyx_v_seq) : __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_v_seq);
  __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 670, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (!(likely(PyList_CheckExact(__pyx_t_1))||((__pyx_t_1) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "list", Py_TYPE(__pyx_t_1)->tp_name), 0))) __PYX_ERR(0, 670, __pyx_L1_error)
  __pyx_v_fv = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "gnocis/models.pyx":671
 * 		w = self.sortedweights
 * 		fv = self.features.getAll(seq)
 * 		for i in range(len(fv)):             # <<<<<<<<<<<<<<
 * 			ret += fv[i] * w[i]
 * 		return ret
 */
  if (unlikely(__pyx_v_fv == Py_None)) {
    PyErr_SetString(PyExc_TypeError, "object of type 'NoneType' has no len()");
    __PYX_ERR(0, 671, __pyx_L1_error)
  }
  __pyx_t_4 = PyList_GET_SIZE(__pyx_v_fv); if (unlikely(__pyx_t_4 == ((Py_ssize_t)-1))) __PYX_ERR(0, 671, __pyx_L1_error)
  __pyx_t_5 = __pyx_t_4;
  for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
    __pyx_v_i = __pyx_t_6;

    /* "gnocis/models.pyx":672
 * 		fv = self.features.getAll(seq)
 * 		for i in range(len(fv)):
 * 			ret += fv[i] * w[i]             # <<<<<<<<<<<<<<
 * 		return ret
 * 
 */
    __pyx_t_1 = PyFloat_FromDouble(__pyx_v_ret); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 672, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (unlikely(__pyx_v_fv == Py_None)) {
      PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable");
      __PYX_ERR(0, 672, __pyx_L1_error)
    }
    __pyx_t_3 = __Pyx_GetItemInt_List(__pyx_v_fv, __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 1, 1, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 672, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    if (unlikely(__pyx_v_w == Py_None)) {
      PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable");
      __PYX_ERR(0, 672, __pyx_L1_error)
    }
    __pyx_t_2 = __Pyx_GetItemInt_List(__pyx_v_w, __pyx_v_i, int, 1, __Pyx_PyInt_From_int, 1, 1, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 672, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_7 = PyNumber_Multiply(__pyx_t_3, __pyx_t_2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 672, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = PyNumber_InPlaceAdd(__pyx_t_1, __pyx_t_7); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 672, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_8 = __pyx_PyFloat_AsFloat(__pyx_t_2); if (unlikely((__pyx_t_8 == (float)-1) && PyErr_Occurred())) __PYX_ERR(0, 672, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_v_ret = __pyx_t_8;
  }

  /* "gnocis/models.pyx":673
 * 		for i in range(len(fv)):
 * 			ret += fv[i] * w[i]
 * 		return ret             # <<<<<<<<<<<<<<
 * 
 * # Trains a singular-motif PREdictor model with a given set of motifs and positive and negative training sequences.
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_2 = PyFloat_FromDouble(__pyx_v_ret); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 673, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_r = __pyx_t_2;
  __pyx_t_2 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":665
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)
 * 
 * 	def scoreWindow(self, seq):             # <<<<<<<<<<<<<<
 * 		cdef list fv, w
 * 		cdef int i
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("gnocis.models.sequenceModelLogOdds.scoreWindow", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_fv);
  __Pyx_XDECREF(__pyx_v_w);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":676
 * 
 * # Trains a singular-motif PREdictor model with a given set of motifs and positive and negative training sequences.
 * def trainSinglePREdictorModel(motifs, positives, negatives, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelLogOdds(features.getMotifSpectrum(motifs), positives, negatives, windowSize, windowStep)
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_25trainSinglePREdictorModel(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_25trainSinglePREdictorModel = {"trainSinglePREdictorModel", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_25trainSinglePREdictorModel, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_25trainSinglePREdictorModel(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_motifs = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_v_windowSize = 0;
  PyObject *__pyx_v_windowStep = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("trainSinglePREdictorModel (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_motifs,&__pyx_n_s_positives,&__pyx_n_s_negatives,&__pyx_n_s_windowSize,&__pyx_n_s_windowStep,0};
    PyObject* values[5] = {0,0,0,0,0};
    values[3] = ((PyObject *)__pyx_int_500);
    values[4] = ((PyObject *)__pyx_int_10);
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_motifs)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("trainSinglePREdictorModel", 0, 3, 5, 1); __PYX_ERR(0, 676, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("trainSinglePREdictorModel", 0, 3, 5, 2); __PYX_ERR(0, 676, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_windowSize);
          if (value) { values[3] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  4:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_windowStep);
          if (value) { values[4] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "trainSinglePREdictorModel") < 0)) __PYX_ERR(0, 676, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_motifs = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
    __pyx_v_windowSize = values[3];
    __pyx_v_windowStep = values[4];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("trainSinglePREdictorModel", 0, 3, 5, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 676, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.trainSinglePREdictorModel", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_24trainSinglePREdictorModel(__pyx_self, __pyx_v_motifs, __pyx_v_positives, __pyx_v_negatives, __pyx_v_windowSize, __pyx_v_windowStep);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_24trainSinglePREdictorModel(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_motifs, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives, PyObject *__pyx_v_windowSize, PyObject *__pyx_v_windowStep) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  __Pyx_RefNannySetupContext("trainSinglePREdictorModel", 0);

  /* "gnocis/models.pyx":677
 * # Trains a singular-motif PREdictor model with a given set of motifs and positive and negative training sequences.
 * def trainSinglePREdictorModel(motifs, positives, negatives, windowSize=500, windowStep=10):
 * 	return sequenceModelLogOdds(features.getMotifSpectrum(motifs), positives, negatives, windowSize, windowStep)             # <<<<<<<<<<<<<<
 * 
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_latin1_sequenceModelLogOdds); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 677, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_ptype_6gnocis_8features_features), __pyx_n_s_getMotifSpectrum); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 677, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
    }
  }
  __pyx_t_3 = (__pyx_t_5) ? __Pyx_PyObject_Call2Args(__pyx_t_4, __pyx_t_5, __pyx_v_motifs) : __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_v_motifs);
  __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
  if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 677, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[6] = {__pyx_t_4, __pyx_t_3, __pyx_v_positives, __pyx_v_negatives, __pyx_v_windowSize, __pyx_v_windowStep};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 5+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 677, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[6] = {__pyx_t_4, __pyx_t_3, __pyx_v_positives, __pyx_v_negatives, __pyx_v_windowSize, __pyx_v_windowStep};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 5+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 677, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  } else
  #endif
  {
    __pyx_t_5 = PyTuple_New(5+__pyx_t_6); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 677, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    if (__pyx_t_4) {
      __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); __pyx_t_4 = NULL;
    }
    __Pyx_GIVEREF(__pyx_t_3);
    PyTuple_SET_ITEM(__pyx_t_5, 0+__pyx_t_6, __pyx_t_3);
    __Pyx_INCREF(__pyx_v_positives);
    __Pyx_GIVEREF(__pyx_v_positives);
    PyTuple_SET_ITEM(__pyx_t_5, 1+__pyx_t_6, __pyx_v_positives);
    __Pyx_INCREF(__pyx_v_negatives);
    __Pyx_GIVEREF(__pyx_v_negatives);
    PyTuple_SET_ITEM(__pyx_t_5, 2+__pyx_t_6, __pyx_v_negatives);
    __Pyx_INCREF(__pyx_v_windowSize);
    __Pyx_GIVEREF(__pyx_v_windowSize);
    PyTuple_SET_ITEM(__pyx_t_5, 3+__pyx_t_6, __pyx_v_windowSize);
    __Pyx_INCREF(__pyx_v_windowStep);
    __Pyx_GIVEREF(__pyx_v_windowStep);
    PyTuple_SET_ITEM(__pyx_t_5, 4+__pyx_t_6, __pyx_v_windowStep);
    __pyx_t_3 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 677, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":676
 * 
 * # Trains a singular-motif PREdictor model with a given set of motifs and positive and negative training sequences.
 * def trainSinglePREdictorModel(motifs, positives, negatives, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelLogOdds(features.getMotifSpectrum(motifs), positives, negatives, windowSize, windowStep)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_AddTraceback("gnocis.models.trainSinglePREdictorModel", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":680
 * 
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 * def createDummyPREdictorModel(motifs, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelDummy(features.getPREdictorMotifPairSpectrum(motifs, 219), windowSize, windowStep)
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_27createDummyPREdictorModel(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_27createDummyPREdictorModel = {"createDummyPREdictorModel", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_27createDummyPREdictorModel, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_27createDummyPREdictorModel(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_motifs = 0;
  PyObject *__pyx_v_windowSize = 0;
  PyObject *__pyx_v_windowStep = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("createDummyPREdictorModel (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_motifs,&__pyx_n_s_windowSize,&__pyx_n_s_windowStep,0};
    PyObject* values[3] = {0,0,0};
    values[1] = ((PyObject *)__pyx_int_500);
    values[2] = ((PyObject *)__pyx_int_10);
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_motifs)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_windowSize);
          if (value) { values[1] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_windowStep);
          if (value) { values[2] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "createDummyPREdictorModel") < 0)) __PYX_ERR(0, 680, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_motifs = values[0];
    __pyx_v_windowSize = values[1];
    __pyx_v_windowStep = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("createDummyPREdictorModel", 0, 1, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 680, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.createDummyPREdictorModel", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_26createDummyPREdictorModel(__pyx_self, __pyx_v_motifs, __pyx_v_windowSize, __pyx_v_windowStep);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_26createDummyPREdictorModel(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_motifs, PyObject *__pyx_v_windowSize, PyObject *__pyx_v_windowStep) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  __Pyx_RefNannySetupContext("createDummyPREdictorModel", 0);

  /* "gnocis/models.pyx":681
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 * def createDummyPREdictorModel(motifs, windowSize=500, windowStep=10):
 * 	return sequenceModelDummy(features.getPREdictorMotifPairSpectrum(motifs, 219), windowSize, windowStep)             # <<<<<<<<<<<<<<
 * 
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_latin1_sequenceModelDummy); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 681, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_ptype_6gnocis_8features_features), __pyx_n_s_getPREdictorMotifPairSpectrum); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 681, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_motifs, __pyx_int_219};
    __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 681, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_motifs, __pyx_int_219};
    __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 681, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 681, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_5) {
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_5); __pyx_t_5 = NULL;
    }
    __Pyx_INCREF(__pyx_v_motifs);
    __Pyx_GIVEREF(__pyx_v_motifs);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_v_motifs);
    __Pyx_INCREF(__pyx_int_219);
    __Pyx_GIVEREF(__pyx_int_219);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_int_219);
    __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 681, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[4] = {__pyx_t_4, __pyx_t_3, __pyx_v_windowSize, __pyx_v_windowStep};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 3+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 681, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[4] = {__pyx_t_4, __pyx_t_3, __pyx_v_windowSize, __pyx_v_windowStep};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 3+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 681, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(3+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 681, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_4) {
      __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_4); __pyx_t_4 = NULL;
    }
    __Pyx_GIVEREF(__pyx_t_3);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_t_3);
    __Pyx_INCREF(__pyx_v_windowSize);
    __Pyx_GIVEREF(__pyx_v_windowSize);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_v_windowSize);
    __Pyx_INCREF(__pyx_v_windowStep);
    __Pyx_GIVEREF(__pyx_v_windowStep);
    PyTuple_SET_ITEM(__pyx_t_7, 2+__pyx_t_6, __pyx_v_windowStep);
    __pyx_t_3 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_7, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 681, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":680
 * 
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 * def createDummyPREdictorModel(motifs, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelDummy(features.getPREdictorMotifPairSpectrum(motifs, 219), windowSize, windowStep)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("gnocis.models.createDummyPREdictorModel", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "gnocis/models.pyx":684
 * 
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 * def trainPREdictorModel(motifs, positives, negatives, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelLogOdds(features.getPREdictorMotifPairSpectrum(motifs, 219), positives, negatives, windowSize, windowStep)
 * 
 */

/* Python wrapper */
static PyObject *__pyx_pw_6gnocis_6models_29trainPREdictorModel(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static PyMethodDef __pyx_mdef_6gnocis_6models_29trainPREdictorModel = {"trainPREdictorModel", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_6gnocis_6models_29trainPREdictorModel, METH_VARARGS|METH_KEYWORDS, 0};
static PyObject *__pyx_pw_6gnocis_6models_29trainPREdictorModel(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_motifs = 0;
  PyObject *__pyx_v_positives = 0;
  PyObject *__pyx_v_negatives = 0;
  PyObject *__pyx_v_windowSize = 0;
  PyObject *__pyx_v_windowStep = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("trainPREdictorModel (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_motifs,&__pyx_n_s_positives,&__pyx_n_s_negatives,&__pyx_n_s_windowSize,&__pyx_n_s_windowStep,0};
    PyObject* values[5] = {0,0,0,0,0};
    values[3] = ((PyObject *)__pyx_int_500);
    values[4] = ((PyObject *)__pyx_int_10);
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_motifs)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_positives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("trainPREdictorModel", 0, 3, 5, 1); __PYX_ERR(0, 684, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_negatives)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("trainPREdictorModel", 0, 3, 5, 2); __PYX_ERR(0, 684, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_windowSize);
          if (value) { values[3] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  4:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_windowStep);
          if (value) { values[4] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "trainPREdictorModel") < 0)) __PYX_ERR(0, 684, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_motifs = values[0];
    __pyx_v_positives = values[1];
    __pyx_v_negatives = values[2];
    __pyx_v_windowSize = values[3];
    __pyx_v_windowStep = values[4];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("trainPREdictorModel", 0, 3, 5, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 684, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("gnocis.models.trainPREdictorModel", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_6gnocis_6models_28trainPREdictorModel(__pyx_self, __pyx_v_motifs, __pyx_v_positives, __pyx_v_negatives, __pyx_v_windowSize, __pyx_v_windowStep);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_6gnocis_6models_28trainPREdictorModel(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_motifs, PyObject *__pyx_v_positives, PyObject *__pyx_v_negatives, PyObject *__pyx_v_windowSize, PyObject *__pyx_v_windowStep) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  __Pyx_RefNannySetupContext("trainPREdictorModel", 0);

  /* "gnocis/models.pyx":685
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 * def trainPREdictorModel(motifs, positives, negatives, windowSize=500, windowStep=10):
 * 	return sequenceModelLogOdds(features.getPREdictorMotifPairSpectrum(motifs, 219), positives, negatives, windowSize, windowStep)             # <<<<<<<<<<<<<<
 * 
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_latin1_sequenceModelLogOdds); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 685, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_ptype_6gnocis_8features_features), __pyx_n_s_getPREdictorMotifPairSpectrum); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 685, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_motifs, __pyx_int_219};
    __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 685, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[3] = {__pyx_t_5, __pyx_v_motifs, __pyx_int_219};
    __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_6, 2+__pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 685, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(2+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 685, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_5) {
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_5); __pyx_t_5 = NULL;
    }
    __Pyx_INCREF(__pyx_v_motifs);
    __Pyx_GIVEREF(__pyx_v_motifs);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_v_motifs);
    __Pyx_INCREF(__pyx_int_219);
    __Pyx_GIVEREF(__pyx_int_219);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_int_219);
    __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 685, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  __pyx_t_6 = 0;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
      __pyx_t_6 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[6] = {__pyx_t_4, __pyx_t_3, __pyx_v_positives, __pyx_v_negatives, __pyx_v_windowSize, __pyx_v_windowStep};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 5+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 685, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[6] = {__pyx_t_4, __pyx_t_3, __pyx_v_positives, __pyx_v_negatives, __pyx_v_windowSize, __pyx_v_windowStep};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_6, 5+__pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 685, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  } else
  #endif
  {
    __pyx_t_7 = PyTuple_New(5+__pyx_t_6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 685, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__pyx_t_4) {
      __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_4); __pyx_t_4 = NULL;
    }
    __Pyx_GIVEREF(__pyx_t_3);
    PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_6, __pyx_t_3);
    __Pyx_INCREF(__pyx_v_positives);
    __Pyx_GIVEREF(__pyx_v_positives);
    PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_6, __pyx_v_positives);
    __Pyx_INCREF(__pyx_v_negatives);
    __Pyx_GIVEREF(__pyx_v_negatives);
    PyTuple_SET_ITEM(__pyx_t_7, 2+__pyx_t_6, __pyx_v_negatives);
    __Pyx_INCREF(__pyx_v_windowSize);
    __Pyx_GIVEREF(__pyx_v_windowSize);
    PyTuple_SET_ITEM(__pyx_t_7, 3+__pyx_t_6, __pyx_v_windowSize);
    __Pyx_INCREF(__pyx_v_windowStep);
    __Pyx_GIVEREF(__pyx_v_windowStep);
    PyTuple_SET_ITEM(__pyx_t_7, 4+__pyx_t_6, __pyx_v_windowStep);
    __pyx_t_3 = 0;
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_7, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 685, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "gnocis/models.pyx":684
 * 
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 * def trainPREdictorModel(motifs, positives, negatives, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelLogOdds(features.getPREdictorMotifPairSpectrum(motifs, 219), positives, negatives, windowSize, windowStep)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("gnocis.models.trainPREdictorModel", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *__pyx_freelist_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer[--__pyx_freecount_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_7genexpr__pyx_v_seq);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer[__pyx_freecount_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *)o;
  if (p->__pyx_7genexpr__pyx_v_seq) {
    e = (*v)(((PyObject *)p->__pyx_7genexpr__pyx_v_seq), a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer *)o;
  tmp = ((PyObject*)p->__pyx_7genexpr__pyx_v_seq);
  p->__pyx_7genexpr__pyx_v_seq = ((struct __pyx_obj_6gnocis_9sequences_sequence *)Py_None); Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct__multiprocessModelDeployer", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer, /*tp_traverse*/
  __pyx_tp_clear_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_1_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_1_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_1_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_1_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_1_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_1_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_1_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_win);
  Py_CLEAR(p->__pyx_t_0);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_1_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_1_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_1_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_1_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_win) {
    e = (*v)(p->__pyx_v_win, a); if (e) return e;
  }
  if (p->__pyx_t_0) {
    e = (*v)(p->__pyx_t_0, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_1_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_1_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_1_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_1_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_1_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_1_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *__pyx_freelist_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_v_pool);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs[__pyx_freecount_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *)o;
  if (p->__pyx_v_pool) {
    e = (*v)(p->__pyx_v_pool, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs *)o;
  tmp = ((PyObject*)p->__pyx_v_pool);
  p->__pyx_v_pool = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_2_getPoolProcessIDs", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs, /*tp_traverse*/
  __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_3_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_3_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_3_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_3_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_3_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_3_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_3_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_v);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_3_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_3_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_3_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_3_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_v) {
    e = (*v)(p->__pyx_v_v, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_3_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_3_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_3_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_3_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_3_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_3_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *__pyx_freelist_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_v_r);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs[__pyx_freecount_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *)o;
  if (p->__pyx_v_r) {
    e = (*v)(p->__pyx_v_r, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs *)o;
  tmp = ((PyObject*)p->__pyx_v_r);
  p->__pyx_v_r = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_4_getPoolModelIDs", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs, /*tp_traverse*/
  __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_5_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_5_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_5_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_5_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_5_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_5_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_5_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_mid);
  Py_CLEAR(p->__pyx_v_pid);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_5_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_5_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_5_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_5_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_mid) {
    e = (*v)(p->__pyx_v_mid, a); if (e) return e;
  }
  if (p->__pyx_v_pid) {
    e = (*v)(p->__pyx_v_pid, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_5_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_5_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_5_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_5_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_5_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_5_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_6_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_6_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_6_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_6_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_6_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_6_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_6_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_mid);
  Py_CLEAR(p->__pyx_v_pid);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_6_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_6_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_6_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_6_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_mid) {
    e = (*v)(p->__pyx_v_mid, a); if (e) return e;
  }
  if (p->__pyx_v_pid) {
    e = (*v)(p->__pyx_v_pid, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_6_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_6_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_6_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_6_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_6_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_6_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *__pyx_freelist_6gnocis_6models___pyx_scope_struct_7_setPoolModel[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_7_setPoolModel = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_7_setPoolModel(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_7_setPoolModel > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_7_setPoolModel[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_7_setPoolModel];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_7_setPoolModel(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_v_r);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_7_setPoolModel < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_7_setPoolModel[__pyx_freecount_6gnocis_6models___pyx_scope_struct_7_setPoolModel++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_7_setPoolModel(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *)o;
  if (p->__pyx_v_r) {
    e = (*v)(p->__pyx_v_r, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_7_setPoolModel(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel *)o;
  tmp = ((PyObject*)p->__pyx_v_r);
  p->__pyx_v_r = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_7_setPoolModel = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_7_setPoolModel", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_7_setPoolModel), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_7_setPoolModel, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_7_setPoolModel, /*tp_traverse*/
  __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_7_setPoolModel, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_7_setPoolModel, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_8_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_8_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_8_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_8_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_8_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_8_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_8_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_hasModel);
  Py_CLEAR(p->__pyx_v_pid);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_8_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_8_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_8_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_8_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_hasModel) {
    e = (*v)(p->__pyx_v_hasModel, a); if (e) return e;
  }
  if (p->__pyx_v_pid) {
    e = (*v)(p->__pyx_v_pid, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_8_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_8_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_8_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_8_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_8_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_8_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_9_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_9_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_9_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_9_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_9_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_9_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_9_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_hasModel);
  Py_CLEAR(p->__pyx_v_pid);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_9_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_9_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_9_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_9_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_hasModel) {
    e = (*v)(p->__pyx_v_hasModel, a); if (e) return e;
  }
  if (p->__pyx_v_pid) {
    e = (*v)(p->__pyx_v_pid, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_9_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_9_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_9_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_9_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_9_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_9_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *__pyx_freelist_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_v_positives);
  Py_CLEAR(p->__pyx_v_seqLens);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision[__pyx_freecount_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *)o;
  if (p->__pyx_v_positives) {
    e = (*v)(p->__pyx_v_positives, a); if (e) return e;
  }
  if (p->__pyx_v_seqLens) {
    e = (*v)(p->__pyx_v_seqLens, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision *)o;
  tmp = ((PyObject*)p->__pyx_v_positives);
  p->__pyx_v_positives = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->__pyx_v_seqLens);
  p->__pyx_v_seqLens = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_10_calibrateGenomewidePrecision", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision, /*tp_traverse*/
  __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_11_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_11_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_11_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_11_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_11_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_11_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_11_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_chrom);
  Py_CLEAR(p->__pyx_t_0);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_11_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_11_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_11_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_11_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_chrom) {
    e = (*v)(p->__pyx_v_chrom, a); if (e) return e;
  }
  if (p->__pyx_t_0) {
    e = (*v)(p->__pyx_t_0, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_11_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_11_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_11_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_11_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_11_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_11_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_12_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_12_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_12_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_12_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_12_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_12_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_12_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_s);
  Py_CLEAR(p->__pyx_t_0);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_12_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_12_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_12_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_12_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_s) {
    e = (*v)(p->__pyx_v_s, a); if (e) return e;
  }
  if (p->__pyx_t_0) {
    e = (*v)(p->__pyx_t_0, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_12_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_12_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_12_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_12_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_12_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_12_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *__pyx_freelist_6gnocis_6models___pyx_scope_struct_13_scoreSequence[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_13_scoreSequence = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_13_scoreSequence(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_13_scoreSequence > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_13_scoreSequence[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_13_scoreSequence];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_13_scoreSequence(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_v_self);
  Py_CLEAR(p->__pyx_v_seq);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_13_scoreSequence < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_13_scoreSequence[__pyx_freecount_6gnocis_6models___pyx_scope_struct_13_scoreSequence++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_13_scoreSequence(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *)o;
  if (p->__pyx_v_self) {
    e = (*v)(p->__pyx_v_self, a); if (e) return e;
  }
  if (p->__pyx_v_seq) {
    e = (*v)(p->__pyx_v_seq, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_13_scoreSequence(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence *)o;
  tmp = ((PyObject*)p->__pyx_v_self);
  p->__pyx_v_self = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->__pyx_v_seq);
  p->__pyx_v_seq = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_13_scoreSequence = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_13_scoreSequence", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_13_scoreSequence), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_13_scoreSequence, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_13_scoreSequence, /*tp_traverse*/
  __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_13_scoreSequence, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_13_scoreSequence, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_14_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_14_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_14_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_14_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_14_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_14_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_14_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_win);
  Py_CLEAR(p->__pyx_t_0);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_14_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_14_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_14_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_14_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_win) {
    e = (*v)(p->__pyx_v_win, a); if (e) return e;
  }
  if (p->__pyx_t_0) {
    e = (*v)(p->__pyx_t_0, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_14_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_14_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_14_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_14_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_14_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_14_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *__pyx_freelist_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_v_foldStats);
  Py_CLEAR(p->__pyx_v_stat);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves[__pyx_freecount_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *)o;
  if (p->__pyx_v_foldStats) {
    e = (*v)(p->__pyx_v_foldStats, a); if (e) return e;
  }
  if (p->__pyx_v_stat) {
    e = (*v)(p->__pyx_v_stat, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves *)o;
  tmp = ((PyObject*)p->__pyx_v_foldStats);
  p->__pyx_v_foldStats = ((PyObject*)Py_None); Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->__pyx_v_stat);
  p->__pyx_v_stat = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves, /*tp_traverse*/
  __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_16_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_16_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_16_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_16_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_16_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_16_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_16_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_v);
  Py_CLEAR(p->__pyx_t_0);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_16_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_16_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_16_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_16_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_v) {
    e = (*v)(p->__pyx_v_v, a); if (e) return e;
  }
  if (p->__pyx_t_0) {
    e = (*v)(p->__pyx_t_0, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_16_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_16_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_16_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_16_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_16_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_16_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *__pyx_freelist_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_v_self);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor[__pyx_freecount_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *)o;
  if (p->__pyx_v_self) {
    e = (*v)(p->__pyx_v_self, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor *)o;
  tmp = ((PyObject*)p->__pyx_v_self);
  p->__pyx_v_self = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_17_getCrossValidationConstructor", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor, /*tp_traverse*/
  __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *__pyx_freelist_6gnocis_6models___pyx_scope_struct_18___init__[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_18___init__ = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_18___init__(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_18___init__ > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_18___init__[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_18___init__];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_18___init__(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_v_f);
  Py_CLEAR(p->__pyx_v_trainingNegatives);
  Py_CLEAR(p->__pyx_v_trainingPositives);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_18___init__ < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_18___init__[__pyx_freecount_6gnocis_6models___pyx_scope_struct_18___init__++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_18___init__(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *)o;
  if (p->__pyx_v_f) {
    e = (*v)(p->__pyx_v_f, a); if (e) return e;
  }
  if (p->__pyx_v_trainingNegatives) {
    e = (*v)(p->__pyx_v_trainingNegatives, a); if (e) return e;
  }
  if (p->__pyx_v_trainingPositives) {
    e = (*v)(p->__pyx_v_trainingPositives, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_18___init__(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__ *)o;
  tmp = ((PyObject*)p->__pyx_v_f);
  p->__pyx_v_f = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->__pyx_v_trainingNegatives);
  p->__pyx_v_trainingNegatives = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  tmp = ((PyObject*)p->__pyx_v_trainingPositives);
  p->__pyx_v_trainingPositives = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_18___init__ = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_18___init__", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_18___init__), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_18___init__, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_18___init__, /*tp_traverse*/
  __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_18___init__, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_18___init__, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_19_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_19_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_19_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_19_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_19_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_19_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_19_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_s);
  Py_CLEAR(p->__pyx_t_0);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_19_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_19_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_19_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_19_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_s) {
    e = (*v)(p->__pyx_v_s, a); if (e) return e;
  }
  if (p->__pyx_t_0) {
    e = (*v)(p->__pyx_t_0, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_19_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_19_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_19_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_19_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_19_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_19_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *__pyx_freelist_6gnocis_6models___pyx_scope_struct_20_genexpr[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_20_genexpr = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_20_genexpr(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_20_genexpr > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_20_genexpr[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_20_genexpr];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_20_genexpr(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_outer_scope);
  Py_CLEAR(p->__pyx_v_s);
  Py_CLEAR(p->__pyx_t_0);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_20_genexpr < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_20_genexpr[__pyx_freecount_6gnocis_6models___pyx_scope_struct_20_genexpr++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_20_genexpr(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr *)o;
  if (p->__pyx_outer_scope) {
    e = (*v)(((PyObject *)p->__pyx_outer_scope), a); if (e) return e;
  }
  if (p->__pyx_v_s) {
    e = (*v)(p->__pyx_v_s, a); if (e) return e;
  }
  if (p->__pyx_t_0) {
    e = (*v)(p->__pyx_t_0, a); if (e) return e;
  }
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_20_genexpr = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_20_genexpr", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_20_genexpr), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_20_genexpr, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_20_genexpr, /*tp_traverse*/
  0, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_20_genexpr, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *__pyx_freelist_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor[8];
static int __pyx_freecount_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor = 0;

static PyObject *__pyx_tp_new_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor(PyTypeObject *t, CYTHON_UNUSED PyObject *a, CYTHON_UNUSED PyObject *k) {
  PyObject *o;
  if (CYTHON_COMPILING_IN_CPYTHON && likely((__pyx_freecount_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor > 0) & (t->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor)))) {
    o = (PyObject*)__pyx_freelist_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor[--__pyx_freecount_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor];
    memset(o, 0, sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor));
    (void) PyObject_INIT(o, t);
    PyObject_GC_Track(o);
  } else {
    o = (*t->tp_alloc)(t, 0);
    if (unlikely(!o)) return 0;
  }
  return o;
}

static void __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor(PyObject *o) {
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *)o;
  PyObject_GC_UnTrack(o);
  Py_CLEAR(p->__pyx_v_self);
  if (CYTHON_COMPILING_IN_CPYTHON && ((__pyx_freecount_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor < 8) & (Py_TYPE(o)->tp_basicsize == sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor)))) {
    __pyx_freelist_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor[__pyx_freecount_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor++] = ((struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *)o);
  } else {
    (*Py_TYPE(o)->tp_free)(o);
  }
}

static int __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor(PyObject *o, visitproc v, void *a) {
  int e;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *)o;
  if (p->__pyx_v_self) {
    e = (*v)(p->__pyx_v_self, a); if (e) return e;
  }
  return 0;
}

static int __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor(PyObject *o) {
  PyObject* tmp;
  struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *p = (struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor *)o;
  tmp = ((PyObject*)p->__pyx_v_self);
  p->__pyx_v_self = Py_None; Py_INCREF(Py_None);
  Py_XDECREF(tmp);
  return 0;
}

static PyTypeObject __pyx_type_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor = {
  PyVarObject_HEAD_INIT(0, 0)
  "gnocis.models.__pyx_scope_struct_21_getCrossValidationConstructor", /*tp_name*/
  sizeof(struct __pyx_obj_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor), /*tp_basicsize*/
  0, /*tp_itemsize*/
  __pyx_tp_dealloc_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor, /*tp_dealloc*/
  0, /*tp_print*/
  0, /*tp_getattr*/
  0, /*tp_setattr*/
  #if PY_MAJOR_VERSION < 3
  0, /*tp_compare*/
  #endif
  #if PY_MAJOR_VERSION >= 3
  0, /*tp_as_async*/
  #endif
  0, /*tp_repr*/
  0, /*tp_as_number*/
  0, /*tp_as_sequence*/
  0, /*tp_as_mapping*/
  0, /*tp_hash*/
  0, /*tp_call*/
  0, /*tp_str*/
  0, /*tp_getattro*/
  0, /*tp_setattro*/
  0, /*tp_as_buffer*/
  Py_TPFLAGS_DEFAULT|Py_TPFLAGS_HAVE_VERSION_TAG|Py_TPFLAGS_CHECKTYPES|Py_TPFLAGS_HAVE_NEWBUFFER|Py_TPFLAGS_HAVE_GC, /*tp_flags*/
  0, /*tp_doc*/
  __pyx_tp_traverse_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor, /*tp_traverse*/
  __pyx_tp_clear_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor, /*tp_clear*/
  0, /*tp_richcompare*/
  0, /*tp_weaklistoffset*/
  0, /*tp_iter*/
  0, /*tp_iternext*/
  0, /*tp_methods*/
  0, /*tp_members*/
  0, /*tp_getset*/
  0, /*tp_base*/
  0, /*tp_dict*/
  0, /*tp_descr_get*/
  0, /*tp_descr_set*/
  0, /*tp_dictoffset*/
  0, /*tp_init*/
  0, /*tp_alloc*/
  __pyx_tp_new_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor, /*tp_new*/
  0, /*tp_free*/
  0, /*tp_is_gc*/
  0, /*tp_bases*/
  0, /*tp_mro*/
  0, /*tp_cache*/
  0, /*tp_subclasses*/
  0, /*tp_weaklist*/
  0, /*tp_del*/
  0, /*tp_version_tag*/
  #if PY_VERSION_HEX >= 0x030400a1
  0, /*tp_finalize*/
  #endif
};

static PyMethodDef __pyx_methods[] = {
  {0, 0, 0, 0}
};

#if PY_MAJOR_VERSION >= 3
#if CYTHON_PEP489_MULTI_PHASE_INIT
static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/
static int __pyx_pymod_exec_models(PyObject* module); /*proto*/
static PyModuleDef_Slot __pyx_moduledef_slots[] = {
  {Py_mod_create, (void*)__pyx_pymod_create},
  {Py_mod_exec, (void*)__pyx_pymod_exec_models},
  {0, NULL}
};
#endif

static struct PyModuleDef __pyx_moduledef = {
    PyModuleDef_HEAD_INIT,
    "models",
    0, /* m_doc */
  #if CYTHON_PEP489_MULTI_PHASE_INIT
    0, /* m_size */
  #else
    -1, /* m_size */
  #endif
    __pyx_methods /* m_methods */,
  #if CYTHON_PEP489_MULTI_PHASE_INIT
    __pyx_moduledef_slots, /* m_slots */
  #else
    NULL, /* m_reload */
  #endif
    NULL, /* m_traverse */
    NULL, /* m_clear */
    NULL /* m_free */
};
#endif
#ifndef CYTHON_SMALL_CODE
#if defined(__clang__)
    #define CYTHON_SMALL_CODE
#elif defined(__GNUC__) && (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 3))
    #define CYTHON_SMALL_CODE __attribute__((cold))
#else
    #define CYTHON_SMALL_CODE
#endif
#endif

static __Pyx_StringTabEntry __pyx_string_tab[] = {
  {&__pyx_kp_u_, __pyx_k_, sizeof(__pyx_k_), 0, 1, 0, 0},
  {&__pyx_n_s_ACC, __pyx_k_ACC, sizeof(__pyx_k_ACC), 0, 0, 1, 1},
  {&__pyx_n_s_AUC, __pyx_k_AUC, sizeof(__pyx_k_AUC), 0, 0, 1, 1},
  {&__pyx_n_s_CMStats, __pyx_k_CMStats, sizeof(__pyx_k_CMStats), 0, 0, 1, 1},
  {&__pyx_kp_s_Constructs_a_log_odds_model_bas, __pyx_k_Constructs_a_log_odds_model_bas, sizeof(__pyx_k_Constructs_a_log_odds_model_bas), 0, 0, 1, 0},
  {&__pyx_kp_u_Cross_validation_leave_one_out, __pyx_k_Cross_validation_leave_one_out, sizeof(__pyx_k_Cross_validation_leave_one_out), 0, 1, 0, 0},
  {&__pyx_kp_u_Cross_validation_random_halves_d, __pyx_k_Cross_validation_random_halves_d, sizeof(__pyx_k_Cross_validation_random_halves_d), 0, 1, 0, 0},
  {&__pyx_kp_u_Dummy_model_Features_s, __pyx_k_Dummy_model_Features_s, sizeof(__pyx_k_Dummy_model_Features_s), 0, 1, 0, 0},
  {&__pyx_n_s_FN, __pyx_k_FN, sizeof(__pyx_k_FN), 0, 0, 1, 1},
  {&__pyx_n_u_FN, __pyx_k_FN, sizeof(__pyx_k_FN), 0, 1, 0, 1},
  {&__pyx_n_s_FP, __pyx_k_FP, sizeof(__pyx_k_FP), 0, 0, 1, 1},
  {&__pyx_n_u_FP, __pyx_k_FP, sizeof(__pyx_k_FP), 0, 1, 0, 1},
  {&__pyx_kp_u_INF, __pyx_k_INF, sizeof(__pyx_k_INF), 0, 1, 0, 0},
  {&__pyx_kp_u_Log_odds_model_Features, __pyx_k_Log_odds_model_Features, sizeof(__pyx_k_Log_odds_model_Features), 0, 1, 0, 0},
  {&__pyx_kp_u_Negatives, __pyx_k_Negatives, sizeof(__pyx_k_Negatives), 0, 1, 0, 0},
  {&__pyx_kp_u_PRC_AUC, __pyx_k_PRC_AUC, sizeof(__pyx_k_PRC_AUC), 0, 1, 0, 0},
  {&__pyx_n_s_PRCcurve, __pyx_k_PRCcurve, sizeof(__pyx_k_PRCcurve), 0, 0, 1, 1},
  {&__pyx_n_s_Pool, __pyx_k_Pool, sizeof(__pyx_k_Pool), 0, 0, 1, 1},
  {&__pyx_kp_u_Positives, __pyx_k_Positives, sizeof(__pyx_k_Positives), 0, 1, 0, 0},
  {&__pyx_n_u_Predictions, __pyx_k_Predictions, sizeof(__pyx_k_Predictions), 0, 1, 0, 1},
  {&__pyx_kp_u_ROC_AUC, __pyx_k_ROC_AUC, sizeof(__pyx_k_ROC_AUC), 0, 1, 0, 0},
  {&__pyx_n_s_ROCcurve, __pyx_k_ROCcurve, sizeof(__pyx_k_ROCcurve), 0, 0, 1, 1},
  {&__pyx_n_s_TN, __pyx_k_TN, sizeof(__pyx_k_TN), 0, 0, 1, 1},
  {&__pyx_n_u_TN, __pyx_k_TN, sizeof(__pyx_k_TN), 0, 1, 0, 1},
  {&__pyx_n_s_TP, __pyx_k_TP, sizeof(__pyx_k_TP), 0, 0, 1, 1},
  {&__pyx_n_u_TP, __pyx_k_TP, sizeof(__pyx_k_TP), 0, 1, 0, 1},
  {&__pyx_kp_s_The_sequenceModel_class_is_an_a, __pyx_k_The_sequenceModel_class_is_an_a, sizeof(__pyx_k_The_sequenceModel_class_is_an_a), 0, 0, 1, 0},
  {&__pyx_kp_s_This_model_takes_a_feature_set, __pyx_k_This_model_takes_a_feature_set, sizeof(__pyx_k_This_model_takes_a_feature_set), 0, 0, 1, 0},
  {&__pyx_n_u_Validation, __pyx_k_Validation, sizeof(__pyx_k_Validation), 0, 1, 0, 1},
  {&__pyx_n_s__16, __pyx_k__16, sizeof(__pyx_k__16), 0, 0, 1, 1},
  {&__pyx_kp_u__2, __pyx_k__2, sizeof(__pyx_k__2), 0, 1, 0, 0},
  {&__pyx_kp_u__5, __pyx_k__5, sizeof(__pyx_k__5), 0, 1, 0, 0},
  {&__pyx_n_s_aPrecision, __pyx_k_aPrecision, sizeof(__pyx_k_aPrecision), 0, 0, 1, 1},
  {&__pyx_n_s_aThreshold, __pyx_k_aThreshold, sizeof(__pyx_k_aThreshold), 0, 0, 1, 1},
  {&__pyx_n_s_append, __pyx_k_append, sizeof(__pyx_k_append), 0, 0, 1, 1},
  {&__pyx_n_s_arg, __pyx_k_arg, sizeof(__pyx_k_arg), 0, 0, 1, 1},
  {&__pyx_n_s_args, __pyx_k_args, sizeof(__pyx_k_args), 0, 0, 1, 1},
  {&__pyx_n_s_bPrecision, __pyx_k_bPrecision, sizeof(__pyx_k_bPrecision), 0, 0, 1, 1},
  {&__pyx_n_s_bThreshold, __pyx_k_bThreshold, sizeof(__pyx_k_bThreshold), 0, 0, 1, 1},
  {&__pyx_n_s_bgModel, __pyx_k_bgModel, sizeof(__pyx_k_bgModel), 0, 0, 1, 1},
  {&__pyx_n_s_bgModelOrder, __pyx_k_bgModelOrder, sizeof(__pyx_k_bgModelOrder), 0, 0, 1, 1},
  {&__pyx_n_s_blk, __pyx_k_blk, sizeof(__pyx_k_blk), 0, 0, 1, 1},
  {&__pyx_n_s_blkScores, __pyx_k_blkScores, sizeof(__pyx_k_blkScores), 0, 0, 1, 1},
  {&__pyx_n_s_cACC, __pyx_k_cACC, sizeof(__pyx_k_cACC), 0, 0, 1, 1},
  {&__pyx_n_s_cScores, __pyx_k_cScores, sizeof(__pyx_k_cScores), 0, 0, 1, 1},
  {&__pyx_n_s_calibrateGenomewidePrecision, __pyx_k_calibrateGenomewidePrecision, sizeof(__pyx_k_calibrateGenomewidePrecision), 0, 0, 1, 1},
  {&__pyx_n_u_class, __pyx_k_class, sizeof(__pyx_k_class), 0, 1, 0, 1},
  {&__pyx_n_s_classScoresSorted, __pyx_k_classScoresSorted, sizeof(__pyx_k_classScoresSorted), 0, 0, 1, 1},
  {&__pyx_n_s_cline_in_traceback, __pyx_k_cline_in_traceback, sizeof(__pyx_k_cline_in_traceback), 0, 0, 1, 1},
  {&__pyx_n_s_close, __pyx_k_close, sizeof(__pyx_k_close), 0, 0, 1, 1},
  {&__pyx_n_s_cneg, __pyx_k_cneg, sizeof(__pyx_k_cneg), 0, 0, 1, 1},
  {&__pyx_n_s_cpos, __pyx_k_cpos, sizeof(__pyx_k_cpos), 0, 0, 1, 1},
  {&__pyx_n_s_createDummyPREdictorModel, __pyx_k_createDummyPREdictorModel, sizeof(__pyx_k_createDummyPREdictorModel), 0, 0, 1, 1},
  {&__pyx_n_s_cseq, __pyx_k_cseq, sizeof(__pyx_k_cseq), 0, 0, 1, 1},
  {&__pyx_n_s_cvmdl, __pyx_k_cvmdl, sizeof(__pyx_k_cvmdl), 0, 0, 1, 1},
  {&__pyx_n_u_d, __pyx_k_d, sizeof(__pyx_k_d), 0, 1, 0, 1},
  {&__pyx_n_s_default, __pyx_k_default, sizeof(__pyx_k_default), 0, 0, 1, 1},
  {&__pyx_n_s_defaultValue, __pyx_k_defaultValue, sizeof(__pyx_k_defaultValue), 0, 0, 1, 1},
  {&__pyx_n_s_degree, __pyx_k_degree, sizeof(__pyx_k_degree), 0, 0, 1, 1},
  {&__pyx_n_s_dict, __pyx_k_dict, sizeof(__pyx_k_dict), 0, 0, 1, 1},
  {&__pyx_n_s_doc, __pyx_k_doc, sizeof(__pyx_k_doc), 0, 0, 1, 1},
  {&__pyx_n_s_e, __pyx_k_e, sizeof(__pyx_k_e), 0, 0, 1, 1},
  {&__pyx_n_s_end, __pyx_k_end, sizeof(__pyx_k_end), 0, 0, 1, 1},
  {&__pyx_n_s_enumerate, __pyx_k_enumerate, sizeof(__pyx_k_enumerate), 0, 0, 1, 1},
  {&__pyx_n_s_f, __pyx_k_f, sizeof(__pyx_k_f), 0, 0, 1, 1},
  {&__pyx_n_s_factor, __pyx_k_factor, sizeof(__pyx_k_factor), 0, 0, 1, 1},
  {&__pyx_n_s_features, __pyx_k_features, sizeof(__pyx_k_features), 0, 0, 1, 1},
  {&__pyx_n_s_fetch, __pyx_k_fetch, sizeof(__pyx_k_fetch), 0, 0, 1, 1},
  {&__pyx_n_s_foldStats, __pyx_k_foldStats, sizeof(__pyx_k_foldStats), 0, 0, 1, 1},
  {&__pyx_n_s_fv, __pyx_k_fv, sizeof(__pyx_k_fv), 0, 0, 1, 1},
  {&__pyx_n_s_generateStream, __pyx_k_generateStream, sizeof(__pyx_k_generateStream), 0, 0, 1, 1},
  {&__pyx_n_s_genexpr, __pyx_k_genexpr, sizeof(__pyx_k_genexpr), 0, 0, 1, 1},
  {&__pyx_n_s_genome, __pyx_k_genome, sizeof(__pyx_k_genome), 0, 0, 1, 1},
  {&__pyx_n_s_genomeLen, __pyx_k_genomeLen, sizeof(__pyx_k_genomeLen), 0, 0, 1, 1},
  {&__pyx_n_s_get, __pyx_k_get, sizeof(__pyx_k_get), 0, 0, 1, 1},
  {&__pyx_n_s_getAUC, __pyx_k_getAUC, sizeof(__pyx_k_getAUC), 0, 0, 1, 1},
  {&__pyx_n_s_getAll, __pyx_k_getAll, sizeof(__pyx_k_getAll), 0, 0, 1, 1},
  {&__pyx_n_s_getConfusionMatrix, __pyx_k_getConfusionMatrix, sizeof(__pyx_k_getConfusionMatrix), 0, 0, 1, 1},
  {&__pyx_n_s_getConfusionMatrixStatistics, __pyx_k_getConfusionMatrixStatistics, sizeof(__pyx_k_getConfusionMatrixStatistics), 0, 0, 1, 1},
  {&__pyx_n_s_getCrossValidationConstructor, __pyx_k_getCrossValidationConstructor, sizeof(__pyx_k_getCrossValidationConstructor), 0, 0, 1, 1},
  {&__pyx_n_s_getCrossValidationStatisticsLOO, __pyx_k_getCrossValidationStatisticsLOO, sizeof(__pyx_k_getCrossValidationStatisticsLOO), 0, 0, 1, 1},
  {&__pyx_n_s_getCrossValidationStatisticsRand, __pyx_k_getCrossValidationStatisticsRand, sizeof(__pyx_k_getCrossValidationStatisticsRand), 0, 0, 1, 1},
  {&__pyx_n_s_getMotifSpectrum, __pyx_k_getMotifSpectrum, sizeof(__pyx_k_getMotifSpectrum), 0, 0, 1, 1},
  {&__pyx_n_s_getOptimalAccuracyThreshold, __pyx_k_getOptimalAccuracyThreshold, sizeof(__pyx_k_getOptimalAccuracyThreshold), 0, 0, 1, 1},
  {&__pyx_n_s_getPRC, __pyx_k_getPRC, sizeof(__pyx_k_getPRC), 0, 0, 1, 1},
  {&__pyx_n_s_getPRCAUC, __pyx_k_getPRCAUC, sizeof(__pyx_k_getPRCAUC), 0, 0, 1, 1},
  {&__pyx_n_s_getPREdictorMotifPairSpectrum, __pyx_k_getPREdictorMotifPairSpectrum, sizeof(__pyx_k_getPREdictorMotifPairSpectrum), 0, 0, 1, 1},
  {&__pyx_n_s_getPoolModelIDs, __pyx_k_getPoolModelIDs, sizeof(__pyx_k_getPoolModelIDs), 0, 0, 1, 1},
  {&__pyx_n_s_getPoolModelIDs_locals_genexpr, __pyx_k_getPoolModelIDs_locals_genexpr, sizeof(__pyx_k_getPoolModelIDs_locals_genexpr), 0, 0, 1, 1},
  {&__pyx_n_s_getPoolProcessHasModel, __pyx_k_getPoolProcessHasModel, sizeof(__pyx_k_getPoolProcessHasModel), 0, 0, 1, 1},
  {&__pyx_n_s_getPoolProcessID, __pyx_k_getPoolProcessID, sizeof(__pyx_k_getPoolProcessID), 0, 0, 1, 1},
  {&__pyx_n_s_getPoolProcessIDs, __pyx_k_getPoolProcessIDs, sizeof(__pyx_k_getPoolProcessIDs), 0, 0, 1, 1},
  {&__pyx_n_s_getPoolProcessIDs_locals_genexpr, __pyx_k_getPoolProcessIDs_locals_genexpr, sizeof(__pyx_k_getPoolProcessIDs_locals_genexpr), 0, 0, 1, 1},
  {&__pyx_n_s_getPoolProcessModelID, __pyx_k_getPoolProcessModelID, sizeof(__pyx_k_getPoolProcessModelID), 0, 0, 1, 1},
  {&__pyx_n_s_getPrecisionThreshold, __pyx_k_getPrecisionThreshold, sizeof(__pyx_k_getPrecisionThreshold), 0, 0, 1, 1},
  {&__pyx_n_s_getROC, __pyx_k_getROC, sizeof(__pyx_k_getROC), 0, 0, 1, 1},
  {&__pyx_n_s_getROCAUC, __pyx_k_getROCAUC, sizeof(__pyx_k_getROCAUC), 0, 0, 1, 1},
  {&__pyx_n_s_getSequenceLengths, __pyx_k_getSequenceLengths, sizeof(__pyx_k_getSequenceLengths), 0, 0, 1, 1},
  {&__pyx_n_s_getSequenceScores, __pyx_k_getSequenceScores, sizeof(__pyx_k_getSequenceScores), 0, 0, 1, 1},
  {&__pyx_n_s_getValidationStatistics, __pyx_k_getValidationStatistics, sizeof(__pyx_k_getValidationStatistics), 0, 0, 1, 1},
  {&__pyx_n_s_getWindows, __pyx_k_getWindows, sizeof(__pyx_k_getWindows), 0, 0, 1, 1},
  {&__pyx_n_s_getstate, __pyx_k_getstate, sizeof(__pyx_k_getstate), 0, 0, 1, 1},
  {&__pyx_n_s_gnocis_models, __pyx_k_gnocis_models, sizeof(__pyx_k_gnocis_models), 0, 0, 1, 1},
  {&__pyx_kp_s_gnocis_models_pyx, __pyx_k_gnocis_models_pyx, sizeof(__pyx_k_gnocis_models_pyx), 0, 0, 1, 0},
  {&__pyx_n_s_i, __pyx_k_i, sizeof(__pyx_k_i), 0, 0, 1, 1},
  {&__pyx_n_s_import, __pyx_k_import, sizeof(__pyx_k_import), 0, 0, 1, 1},
  {&__pyx_n_s_init, __pyx_k_init, sizeof(__pyx_k_init), 0, 0, 1, 1},
  {&__pyx_n_s_initargs, __pyx_k_initargs, sizeof(__pyx_k_initargs), 0, 0, 1, 1},
  {&__pyx_n_s_initializePoolProcess, __pyx_k_initializePoolProcess, sizeof(__pyx_k_initializePoolProcess), 0, 0, 1, 1},
  {&__pyx_n_s_initializePoolProcessIDs, __pyx_k_initializePoolProcessIDs, sizeof(__pyx_k_initializePoolProcessIDs), 0, 0, 1, 1},
  {&__pyx_n_s_initializer, __pyx_k_initializer, sizeof(__pyx_k_initializer), 0, 0, 1, 1},
  {&__pyx_n_s_k, __pyx_k_k, sizeof(__pyx_k_k), 0, 0, 1, 1},
  {&__pyx_n_s_key, __pyx_k_key, sizeof(__pyx_k_key), 0, 0, 1, 1},
  {&__pyx_n_s_keys, __pyx_k_keys, sizeof(__pyx_k_keys), 0, 0, 1, 1},
  {&__pyx_n_s_label, __pyx_k_label, sizeof(__pyx_k_label), 0, 0, 1, 1},
  {&__pyx_n_s_length, __pyx_k_length, sizeof(__pyx_k_length), 0, 0, 1, 1},
  {&__pyx_n_s_log, __pyx_k_log, sizeof(__pyx_k_log), 0, 0, 1, 1},
  {&__pyx_n_s_mIDs, __pyx_k_mIDs, sizeof(__pyx_k_mIDs), 0, 0, 1, 1},
  {&__pyx_n_s_main, __pyx_k_main, sizeof(__pyx_k_main), 0, 0, 1, 1},
  {&__pyx_n_s_map, __pyx_k_map, sizeof(__pyx_k_map), 0, 0, 1, 1},
  {&__pyx_n_s_math, __pyx_k_math, sizeof(__pyx_k_math), 0, 0, 1, 1},
  {&__pyx_n_s_max, __pyx_k_max, sizeof(__pyx_k_max), 0, 0, 1, 1},
  {&__pyx_n_s_maxModelID, __pyx_k_maxModelID, sizeof(__pyx_k_maxModelID), 0, 0, 1, 1},
  {&__pyx_n_s_maxThreadFetchNT, __pyx_k_maxThreadFetchNT, sizeof(__pyx_k_maxThreadFetchNT), 0, 0, 1, 1},
  {&__pyx_n_s_mdl, __pyx_k_mdl, sizeof(__pyx_k_mdl), 0, 0, 1, 1},
  {&__pyx_n_s_meanLen, __pyx_k_meanLen, sizeof(__pyx_k_meanLen), 0, 0, 1, 1},
  {&__pyx_n_s_metaclass, __pyx_k_metaclass, sizeof(__pyx_k_metaclass), 0, 0, 1, 1},
  {&__pyx_n_s_model, __pyx_k_model, sizeof(__pyx_k_model), 0, 0, 1, 1},
  {&__pyx_n_u_model, __pyx_k_model, sizeof(__pyx_k_model), 0, 1, 0, 1},
  {&__pyx_n_s_modelID, __pyx_k_modelID, sizeof(__pyx_k_modelID), 0, 0, 1, 1},
  {&__pyx_n_u_modelID, __pyx_k_modelID, sizeof(__pyx_k_modelID), 0, 1, 0, 1},
  {&__pyx_n_s_module, __pyx_k_module, sizeof(__pyx_k_module), 0, 0, 1, 1},
  {&__pyx_n_s_motifs, __pyx_k_motifs, sizeof(__pyx_k_motifs), 0, 0, 1, 1},
  {&__pyx_n_s_mp, __pyx_k_mp, sizeof(__pyx_k_mp), 0, 0, 1, 1},
  {&__pyx_n_s_multiprocessModelDeployer, __pyx_k_multiprocessModelDeployer, sizeof(__pyx_k_multiprocessModelDeployer), 0, 0, 1, 1},
  {&__pyx_n_s_multiprocessModelDeployer_locals, __pyx_k_multiprocessModelDeployer_locals, sizeof(__pyx_k_multiprocessModelDeployer_locals), 0, 0, 1, 1},
  {&__pyx_n_s_multiprocessing, __pyx_k_multiprocessing, sizeof(__pyx_k_multiprocessing), 0, 0, 1, 1},
  {&__pyx_n_s_multiprocessingPool, __pyx_k_multiprocessingPool, sizeof(__pyx_k_multiprocessingPool), 0, 0, 1, 1},
  {&__pyx_n_s_n, __pyx_k_n, sizeof(__pyx_k_n), 0, 0, 1, 1},
  {&__pyx_n_s_nCoresUse, __pyx_k_nCoresUse, sizeof(__pyx_k_nCoresUse), 0, 0, 1, 1},
  {&__pyx_n_s_nNT, __pyx_k_nNT, sizeof(__pyx_k_nNT), 0, 0, 1, 1},
  {&__pyx_n_s_nTreadFetch, __pyx_k_nTreadFetch, sizeof(__pyx_k_nTreadFetch), 0, 0, 1, 1},
  {&__pyx_n_s_name, __pyx_k_name, sizeof(__pyx_k_name), 0, 0, 1, 1},
  {&__pyx_n_s_neg, __pyx_k_neg, sizeof(__pyx_k_neg), 0, 0, 1, 1},
  {&__pyx_n_s_negativeScores, __pyx_k_negativeScores, sizeof(__pyx_k_negativeScores), 0, 0, 1, 1},
  {&__pyx_n_s_negatives, __pyx_k_negatives, sizeof(__pyx_k_negatives), 0, 0, 1, 1},
  {&__pyx_n_u_negatives, __pyx_k_negatives, sizeof(__pyx_k_negatives), 0, 1, 0, 1},
  {&__pyx_n_s_newID, __pyx_k_newID, sizeof(__pyx_k_newID), 0, 0, 1, 1},
  {&__pyx_n_s_nfolds, __pyx_k_nfolds, sizeof(__pyx_k_nfolds), 0, 0, 1, 1},
  {&__pyx_n_s_nneg, __pyx_k_nneg, sizeof(__pyx_k_nneg), 0, 0, 1, 1},
  {&__pyx_n_s_npos, __pyx_k_npos, sizeof(__pyx_k_npos), 0, 0, 1, 1},
  {&__pyx_n_s_pIDs, __pyx_k_pIDs, sizeof(__pyx_k_pIDs), 0, 0, 1, 1},
  {&__pyx_n_s_pool, __pyx_k_pool, sizeof(__pyx_k_pool), 0, 0, 1, 1},
  {&__pyx_n_s_pool_2, __pyx_k_pool_2, sizeof(__pyx_k_pool_2), 0, 0, 1, 1},
  {&__pyx_n_s_pos, __pyx_k_pos, sizeof(__pyx_k_pos), 0, 0, 1, 1},
  {&__pyx_n_s_positiveScores, __pyx_k_positiveScores, sizeof(__pyx_k_positiveScores), 0, 0, 1, 1},
  {&__pyx_n_s_positives, __pyx_k_positives, sizeof(__pyx_k_positives), 0, 0, 1, 1},
  {&__pyx_n_u_positives, __pyx_k_positives, sizeof(__pyx_k_positives), 0, 1, 0, 1},
  {&__pyx_n_s_precision, __pyx_k_precision, sizeof(__pyx_k_precision), 0, 0, 1, 1},
  {&__pyx_n_s_pred, __pyx_k_pred, sizeof(__pyx_k_pred), 0, 0, 1, 1},
  {&__pyx_n_s_predict, __pyx_k_predict, sizeof(__pyx_k_predict), 0, 0, 1, 1},
  {&__pyx_n_s_predictSequenceStreamRegions, __pyx_k_predictSequenceStreamRegions, sizeof(__pyx_k_predictSequenceStreamRegions), 0, 0, 1, 1},
  {&__pyx_n_s_prepare, __pyx_k_prepare, sizeof(__pyx_k_prepare), 0, 0, 1, 1},
  {&__pyx_n_s_printTestStatistics, __pyx_k_printTestStatistics, sizeof(__pyx_k_printTestStatistics), 0, 0, 1, 1},
  {&__pyx_n_s_printValidationStatistics, __pyx_k_printValidationStatistics, sizeof(__pyx_k_printValidationStatistics), 0, 0, 1, 1},
  {&__pyx_n_s_procIDs, __pyx_k_procIDs, sizeof(__pyx_k_procIDs), 0, 0, 1, 1},
  {&__pyx_n_s_processID, __pyx_k_processID, sizeof(__pyx_k_processID), 0, 0, 1, 1},
  {&__pyx_n_s_pyx_vtable, __pyx_k_pyx_vtable, sizeof(__pyx_k_pyx_vtable), 0, 0, 1, 1},
  {&__pyx_n_s_qualname, __pyx_k_qualname, sizeof(__pyx_k_qualname), 0, 0, 1, 1},
  {&__pyx_n_s_r, __pyx_k_r, sizeof(__pyx_k_r), 0, 0, 1, 1},
  {&__pyx_n_s_random, __pyx_k_random, sizeof(__pyx_k_random), 0, 0, 1, 1},
  {&__pyx_n_s_range, __pyx_k_range, sizeof(__pyx_k_range), 0, 0, 1, 1},
  {&__pyx_n_s_repr, __pyx_k_repr, sizeof(__pyx_k_repr), 0, 0, 1, 1},
  {&__pyx_n_s_ret, __pyx_k_ret, sizeof(__pyx_k_ret), 0, 0, 1, 1},
  {&__pyx_n_s_score, __pyx_k_score, sizeof(__pyx_k_score), 0, 0, 1, 1},
  {&__pyx_n_u_score, __pyx_k_score, sizeof(__pyx_k_score), 0, 1, 0, 1},
  {&__pyx_n_s_scoreSequence, __pyx_k_scoreSequence, sizeof(__pyx_k_scoreSequence), 0, 0, 1, 1},
  {&__pyx_n_s_scoreWindow, __pyx_k_scoreWindow, sizeof(__pyx_k_scoreWindow), 0, 0, 1, 1},
  {&__pyx_n_s_self, __pyx_k_self, sizeof(__pyx_k_self), 0, 0, 1, 1},
  {&__pyx_n_s_send, __pyx_k_send, sizeof(__pyx_k_send), 0, 0, 1, 1},
  {&__pyx_n_s_seq, __pyx_k_seq, sizeof(__pyx_k_seq), 0, 0, 1, 1},
  {&__pyx_n_s_seqLens, __pyx_k_seqLens, sizeof(__pyx_k_seqLens), 0, 0, 1, 1},
  {&__pyx_n_s_seqs, __pyx_k_seqs, sizeof(__pyx_k_seqs), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel, __pyx_k_sequenceModel, sizeof(__pyx_k_sequenceModel), 0, 0, 1, 1},
  {&__pyx_n_s_latin1_sequenceModel, __pyx_k_sequenceModel, sizeof(__pyx_k_sequenceModel), "latin-1", 0, 1, 1},
  {&__pyx_n_s_sequenceModelDummy, __pyx_k_sequenceModelDummy, sizeof(__pyx_k_sequenceModelDummy), 0, 0, 1, 1},
  {&__pyx_n_s_latin1_sequenceModelDummy, __pyx_k_sequenceModelDummy, sizeof(__pyx_k_sequenceModelDummy), "latin-1", 0, 1, 1},
  {&__pyx_n_s_sequenceModelDummy___init, __pyx_k_sequenceModelDummy___init, sizeof(__pyx_k_sequenceModelDummy___init), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelDummy___repr, __pyx_k_sequenceModelDummy___repr, sizeof(__pyx_k_sequenceModelDummy___repr), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelDummy___str, __pyx_k_sequenceModelDummy___str, sizeof(__pyx_k_sequenceModelDummy___str), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelDummy_getCrossValid, __pyx_k_sequenceModelDummy_getCrossValid, sizeof(__pyx_k_sequenceModelDummy_getCrossValid), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelDummy_getCrossValid_2, __pyx_k_sequenceModelDummy_getCrossValid_2, sizeof(__pyx_k_sequenceModelDummy_getCrossValid_2), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelDummy_scoreWindow, __pyx_k_sequenceModelDummy_scoreWindow, sizeof(__pyx_k_sequenceModelDummy_scoreWindow), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelLogOdds, __pyx_k_sequenceModelLogOdds, sizeof(__pyx_k_sequenceModelLogOdds), 0, 0, 1, 1},
  {&__pyx_n_s_latin1_sequenceModelLogOdds, __pyx_k_sequenceModelLogOdds, sizeof(__pyx_k_sequenceModelLogOdds), "latin-1", 0, 1, 1},
  {&__pyx_n_s_sequenceModelLogOdds___init, __pyx_k_sequenceModelLogOdds___init, sizeof(__pyx_k_sequenceModelLogOdds___init), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelLogOdds___init___lo, __pyx_k_sequenceModelLogOdds___init___lo, sizeof(__pyx_k_sequenceModelLogOdds___init___lo), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelLogOdds___repr, __pyx_k_sequenceModelLogOdds___repr, sizeof(__pyx_k_sequenceModelLogOdds___repr), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelLogOdds___str, __pyx_k_sequenceModelLogOdds___str, sizeof(__pyx_k_sequenceModelLogOdds___str), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelLogOdds_getCrossVal, __pyx_k_sequenceModelLogOdds_getCrossVal, sizeof(__pyx_k_sequenceModelLogOdds_getCrossVal), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelLogOdds_getCrossVal_2, __pyx_k_sequenceModelLogOdds_getCrossVal_2, sizeof(__pyx_k_sequenceModelLogOdds_getCrossVal_2), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModelLogOdds_scoreWindow, __pyx_k_sequenceModelLogOdds_scoreWindow, sizeof(__pyx_k_sequenceModelLogOdds_scoreWindow), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel___getstate, __pyx_k_sequenceModel___getstate, sizeof(__pyx_k_sequenceModel___getstate), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel___setstate, __pyx_k_sequenceModel___setstate, sizeof(__pyx_k_sequenceModel___setstate), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_calibrateGenomewid, __pyx_k_sequenceModel_calibrateGenomewid, sizeof(__pyx_k_sequenceModel_calibrateGenomewid), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_calibrateGenomewid_2, __pyx_k_sequenceModel_calibrateGenomewid_2, sizeof(__pyx_k_sequenceModel_calibrateGenomewid_2), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getConfusionMatrix, __pyx_k_sequenceModel_getConfusionMatrix, sizeof(__pyx_k_sequenceModel_getConfusionMatrix), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getCrossValidation, __pyx_k_sequenceModel_getCrossValidation, sizeof(__pyx_k_sequenceModel_getCrossValidation), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getCrossValidation_2, __pyx_k_sequenceModel_getCrossValidation_2, sizeof(__pyx_k_sequenceModel_getCrossValidation_2), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getCrossValidation_3, __pyx_k_sequenceModel_getCrossValidation_3, sizeof(__pyx_k_sequenceModel_getCrossValidation_3), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getCrossValidation_4, __pyx_k_sequenceModel_getCrossValidation_4, sizeof(__pyx_k_sequenceModel_getCrossValidation_4), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getOptimalAccuracy, __pyx_k_sequenceModel_getOptimalAccuracy, sizeof(__pyx_k_sequenceModel_getOptimalAccuracy), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getOptimalAccuracy_2, __pyx_k_sequenceModel_getOptimalAccuracy_2, sizeof(__pyx_k_sequenceModel_getOptimalAccuracy_2), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getPRC, __pyx_k_sequenceModel_getPRC, sizeof(__pyx_k_sequenceModel_getPRC), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getPRCAUC, __pyx_k_sequenceModel_getPRCAUC, sizeof(__pyx_k_sequenceModel_getPRCAUC), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getPrecisionThresh, __pyx_k_sequenceModel_getPrecisionThresh, sizeof(__pyx_k_sequenceModel_getPrecisionThresh), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getPrecisionThresh_2, __pyx_k_sequenceModel_getPrecisionThresh_2, sizeof(__pyx_k_sequenceModel_getPrecisionThresh_2), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getROC, __pyx_k_sequenceModel_getROC, sizeof(__pyx_k_sequenceModel_getROC), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getROCAUC, __pyx_k_sequenceModel_getROCAUC, sizeof(__pyx_k_sequenceModel_getROCAUC), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getSequenceScores, __pyx_k_sequenceModel_getSequenceScores, sizeof(__pyx_k_sequenceModel_getSequenceScores), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_getValidationStati, __pyx_k_sequenceModel_getValidationStati, sizeof(__pyx_k_sequenceModel_getValidationStati), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_predict, __pyx_k_sequenceModel_predict, sizeof(__pyx_k_sequenceModel_predict), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_predictSequenceStr, __pyx_k_sequenceModel_predictSequenceStr, sizeof(__pyx_k_sequenceModel_predictSequenceStr), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_printTestStatistic, __pyx_k_sequenceModel_printTestStatistic, sizeof(__pyx_k_sequenceModel_printTestStatistic), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_scoreSequence, __pyx_k_sequenceModel_scoreSequence, sizeof(__pyx_k_sequenceModel_scoreSequence), 0, 0, 1, 1},
  {&__pyx_n_s_sequenceModel_scoreSequence_loca, __pyx_k_sequenceModel_scoreSequence_loca, sizeof(__pyx_k_sequenceModel_scoreSequence_loca), 0, 0, 1, 1},
  {&__pyx_n_s_sequences, __pyx_k_sequences, sizeof(__pyx_k_sequences), 0, 0, 1, 1},
  {&__pyx_n_s_setNCores, __pyx_k_setNCores, sizeof(__pyx_k_setNCores), 0, 0, 1, 1},
  {&__pyx_n_s_setPoolModel, __pyx_k_setPoolModel, sizeof(__pyx_k_setPoolModel), 0, 0, 1, 1},
  {&__pyx_n_s_setPoolModel_locals_genexpr, __pyx_k_setPoolModel_locals_genexpr, sizeof(__pyx_k_setPoolModel_locals_genexpr), 0, 0, 1, 1},
  {&__pyx_n_s_setPoolProcessID, __pyx_k_setPoolProcessID, sizeof(__pyx_k_setPoolProcessID), 0, 0, 1, 1},
  {&__pyx_n_s_setPoolProcessModel, __pyx_k_setPoolProcessModel, sizeof(__pyx_k_setPoolProcessModel), 0, 0, 1, 1},
  {&__pyx_n_s_setstate, __pyx_k_setstate, sizeof(__pyx_k_setstate), 0, 0, 1, 1},
  {&__pyx_n_s_shuffle, __pyx_k_shuffle, sizeof(__pyx_k_shuffle), 0, 0, 1, 1},
  {&__pyx_n_s_sort, __pyx_k_sort, sizeof(__pyx_k_sort), 0, 0, 1, 1},
  {&__pyx_n_s_sorted, __pyx_k_sorted, sizeof(__pyx_k_sorted), 0, 0, 1, 1},
  {&__pyx_n_s_sortedweights, __pyx_k_sortedweights, sizeof(__pyx_k_sortedweights), 0, 0, 1, 1},
  {&__pyx_n_s_split, __pyx_k_split, sizeof(__pyx_k_split), 0, 0, 1, 1},
  {&__pyx_n_s_stat, __pyx_k_stat, sizeof(__pyx_k_stat), 0, 0, 1, 1},
  {&__pyx_n_s_state, __pyx_k_state, sizeof(__pyx_k_state), 0, 0, 1, 1},
  {&__pyx_n_s_stats, __pyx_k_stats, sizeof(__pyx_k_stats), 0, 0, 1, 1},
  {&__pyx_n_s_str, __pyx_k_str, sizeof(__pyx_k_str), 0, 0, 1, 1},
  {&__pyx_n_s_stream, __pyx_k_stream, sizeof(__pyx_k_stream), 0, 0, 1, 1},
  {&__pyx_n_s_streamSequenceWindows, __pyx_k_streamSequenceWindows, sizeof(__pyx_k_streamSequenceWindows), 0, 0, 1, 1},
  {&__pyx_n_s_sum, __pyx_k_sum, sizeof(__pyx_k_sum), 0, 0, 1, 1},
  {&__pyx_n_s_test, __pyx_k_test, sizeof(__pyx_k_test), 0, 0, 1, 1},
  {&__pyx_n_s_threshold, __pyx_k_threshold, sizeof(__pyx_k_threshold), 0, 0, 1, 1},
  {&__pyx_n_s_throw, __pyx_k_throw, sizeof(__pyx_k_throw), 0, 0, 1, 1},
  {&__pyx_n_u_title, __pyx_k_title, sizeof(__pyx_k_title), 0, 1, 0, 1},
  {&__pyx_n_s_tneg, __pyx_k_tneg, sizeof(__pyx_k_tneg), 0, 0, 1, 1},
  {&__pyx_n_s_tpos, __pyx_k_tpos, sizeof(__pyx_k_tpos), 0, 0, 1, 1},
  {&__pyx_n_s_trainPREdictorModel, __pyx_k_trainPREdictorModel, sizeof(__pyx_k_trainPREdictorModel), 0, 0, 1, 1},
  {&__pyx_n_s_trainSinglePREdictorModel, __pyx_k_trainSinglePREdictorModel, sizeof(__pyx_k_trainSinglePREdictorModel), 0, 0, 1, 1},
  {&__pyx_n_s_trainingNegatives, __pyx_k_trainingNegatives, sizeof(__pyx_k_trainingNegatives), 0, 0, 1, 1},
  {&__pyx_n_s_trainingPositives, __pyx_k_trainingPositives, sizeof(__pyx_k_trainingPositives), 0, 0, 1, 1},
  {&__pyx_n_s_trainingSequences, __pyx_k_trainingSequences, sizeof(__pyx_k_trainingSequences), 0, 0, 1, 1},
  {&__pyx_n_s_v, __pyx_k_v, sizeof(__pyx_k_v), 0, 0, 1, 1},
  {&__pyx_n_s_vNeg, __pyx_k_vNeg, sizeof(__pyx_k_vNeg), 0, 0, 1, 1},
  {&__pyx_n_s_vPairs, __pyx_k_vPairs, sizeof(__pyx_k_vPairs), 0, 0, 1, 1},
  {&__pyx_n_s_vPos, __pyx_k_vPos, sizeof(__pyx_k_vPos), 0, 0, 1, 1},
  {&__pyx_n_s_validation, __pyx_k_validation, sizeof(__pyx_k_validation), 0, 0, 1, 1},
  {&__pyx_n_s_vneg, __pyx_k_vneg, sizeof(__pyx_k_vneg), 0, 0, 1, 1},
  {&__pyx_n_s_vp, __pyx_k_vp, sizeof(__pyx_k_vp), 0, 0, 1, 1},
  {&__pyx_n_s_vpos, __pyx_k_vpos, sizeof(__pyx_k_vpos), 0, 0, 1, 1},
  {&__pyx_n_s_w, __pyx_k_w, sizeof(__pyx_k_w), 0, 0, 1, 1},
  {&__pyx_n_s_wPrecision, __pyx_k_wPrecision, sizeof(__pyx_k_wPrecision), 0, 0, 1, 1},
  {&__pyx_n_s_wScore, __pyx_k_wScore, sizeof(__pyx_k_wScore), 0, 0, 1, 1},
  {&__pyx_n_s_wThreshold, __pyx_k_wThreshold, sizeof(__pyx_k_wThreshold), 0, 0, 1, 1},
  {&__pyx_n_s_wantedPrecision, __pyx_k_wantedPrecision, sizeof(__pyx_k_wantedPrecision), 0, 0, 1, 1},
  {&__pyx_n_s_weight, __pyx_k_weight, sizeof(__pyx_k_weight), 0, 0, 1, 1},
  {&__pyx_n_s_weights, __pyx_k_weights, sizeof(__pyx_k_weights), 0, 0, 1, 1},
  {&__pyx_n_s_win, __pyx_k_win, sizeof(__pyx_k_win), 0, 0, 1, 1},
  {&__pyx_n_s_winPos, __pyx_k_winPos, sizeof(__pyx_k_winPos), 0, 0, 1, 1},
  {&__pyx_n_s_winPosSet, __pyx_k_winPosSet, sizeof(__pyx_k_winPosSet), 0, 0, 1, 1},
  {&__pyx_n_s_winScoreSet, __pyx_k_winScoreSet, sizeof(__pyx_k_winScoreSet), 0, 0, 1, 1},
  {&__pyx_n_s_winSeq, __pyx_k_winSeq, sizeof(__pyx_k_winSeq), 0, 0, 1, 1},
  {&__pyx_n_s_winSeqSet, __pyx_k_winSeqSet, sizeof(__pyx_k_winSeqSet), 0, 0, 1, 1},
  {&__pyx_n_s_windowSize, __pyx_k_windowSize, sizeof(__pyx_k_windowSize), 0, 0, 1, 1},
  {&__pyx_n_s_windowStep, __pyx_k_windowStep, sizeof(__pyx_k_windowStep), 0, 0, 1, 1},
  {&__pyx_n_u_x, __pyx_k_x, sizeof(__pyx_k_x), 0, 1, 0, 1},
  {&__pyx_n_u_y, __pyx_k_y, sizeof(__pyx_k_y), 0, 1, 0, 1},
  {&__pyx_n_s_zip, __pyx_k_zip, sizeof(__pyx_k_zip), 0, 0, 1, 1},
  {0, 0, 0, 0, 0, 0, 0}
};
static CYTHON_SMALL_CODE int __Pyx_InitCachedBuiltins(void) {
  __pyx_builtin_max = __Pyx_GetBuiltinName(__pyx_n_s_max); if (!__pyx_builtin_max) __PYX_ERR(0, 40, __pyx_L1_error)
  __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) __PYX_ERR(0, 73, __pyx_L1_error)
  __pyx_builtin_sorted = __Pyx_GetBuiltinName(__pyx_n_s_sorted); if (!__pyx_builtin_sorted) __PYX_ERR(0, 231, __pyx_L1_error)
  __pyx_builtin_sum = __Pyx_GetBuiltinName(__pyx_n_s_sum); if (!__pyx_builtin_sum) __PYX_ERR(0, 317, __pyx_L1_error)
  __pyx_builtin_enumerate = __Pyx_GetBuiltinName(__pyx_n_s_enumerate); if (!__pyx_builtin_enumerate) __PYX_ERR(0, 486, __pyx_L1_error)
  __pyx_builtin_zip = __Pyx_GetBuiltinName(__pyx_n_s_zip); if (!__pyx_builtin_zip) __PYX_ERR(0, 558, __pyx_L1_error)
  return 0;
  __pyx_L1_error:;
  return -1;
}

static CYTHON_SMALL_CODE int __Pyx_InitCachedConstants(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0);

  /* "gnocis/models.pyx":143
 * 		multiprocessingPool = None
 * 	if n > 1:
 * 		multiprocessingPool = mp.Pool(nCoresUse, initializer = initializePoolProcess, initargs = ('',))             # <<<<<<<<<<<<<<
 * 		initializePoolProcessIDs(multiprocessingPool)
 * 
 */
  __pyx_tuple__3 = PyTuple_Pack(1, __pyx_kp_u__2); if (unlikely(!__pyx_tuple__3)) __PYX_ERR(0, 143, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__3);
  __Pyx_GIVEREF(__pyx_tuple__3);

  /* "gnocis/models.pyx":459
 * 	# Returns cross-validation statistics dictionary, with random training set splitting and training and testing on independent halves.
 * 	def getCrossValidationStatisticsRandomHalves(self, positives, negatives, nfolds):
 * 		cpos, cneg = positives[:], negatives[:]             # <<<<<<<<<<<<<<
 * 		npos, nneg = len(positives), len(negatives)
 * 		stats = { 'title': 'Cross-validation (random halves, %d folds)'%nfolds, 'positives': positives, 'negatives': negatives, 'model': self }
 */
  __pyx_slice__4 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__4)) __PYX_ERR(0, 459, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__4);
  __Pyx_GIVEREF(__pyx_slice__4);

  /* "gnocis/models.pyx":31
 * 
 * # Used for applying models in separate processes
 * def multiprocessModelDeployer(args):             # <<<<<<<<<<<<<<
 * 	cdef sequences seqs
 * 	cdef sequence seq, win
 */
  __pyx_tuple__6 = PyTuple_Pack(10, __pyx_n_s_args, __pyx_n_s_seqs, __pyx_n_s_seq, __pyx_n_s_win, __pyx_n_s_defaultValue, __pyx_n_s_windowSize, __pyx_n_s_windowStep, __pyx_n_s_seq, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__6)) __PYX_ERR(0, 31, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__6);
  __Pyx_GIVEREF(__pyx_tuple__6);
  __pyx_codeobj__7 = (PyObject*)__Pyx_PyCode_New(1, 0, 10, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__6, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_multiprocessModelDeployer, 31, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__7)) __PYX_ERR(0, 31, __pyx_L1_error)

  /* "gnocis/models.pyx":52
 * 	]
 * 
 * def initializePoolProcess(arg):             # <<<<<<<<<<<<<<
 * 	global processID, model
 * 	processID, model = None, None
 */
  __pyx_tuple__8 = PyTuple_Pack(1, __pyx_n_s_arg); if (unlikely(!__pyx_tuple__8)) __PYX_ERR(0, 52, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__8);
  __Pyx_GIVEREF(__pyx_tuple__8);
  __pyx_codeobj__9 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__8, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_initializePoolProcess, 52, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__9)) __PYX_ERR(0, 52, __pyx_L1_error)

  /* "gnocis/models.pyx":56
 * 	processID, model = None, None
 * 
 * def setPoolProcessID(newID):             # <<<<<<<<<<<<<<
 * 	global processID
 * 	processID = newID
 */
  __pyx_tuple__10 = PyTuple_Pack(1, __pyx_n_s_newID); if (unlikely(!__pyx_tuple__10)) __PYX_ERR(0, 56, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__10);
  __Pyx_GIVEREF(__pyx_tuple__10);
  __pyx_codeobj__11 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__10, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_setPoolProcessID, 56, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__11)) __PYX_ERR(0, 56, __pyx_L1_error)

  /* "gnocis/models.pyx":61
 * 	return True
 * 
 * def getPoolProcessID(arg):             # <<<<<<<<<<<<<<
 * 	global processID
 * 	return processID
 */
  __pyx_tuple__12 = PyTuple_Pack(1, __pyx_n_s_arg); if (unlikely(!__pyx_tuple__12)) __PYX_ERR(0, 61, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__12);
  __Pyx_GIVEREF(__pyx_tuple__12);
  __pyx_codeobj__13 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__12, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getPoolProcessID, 61, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__13)) __PYX_ERR(0, 61, __pyx_L1_error)

  /* "gnocis/models.pyx":65
 * 	return processID
 * 
 * def getPoolProcessModelID(arg):             # <<<<<<<<<<<<<<
 * 	global processID, model
 * 	if model == None:
 */
  __pyx_tuple__14 = PyTuple_Pack(1, __pyx_n_s_arg); if (unlikely(!__pyx_tuple__14)) __PYX_ERR(0, 65, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__14);
  __Pyx_GIVEREF(__pyx_tuple__14);
  __pyx_codeobj__15 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__14, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getPoolProcessModelID, 65, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__15)) __PYX_ERR(0, 65, __pyx_L1_error)

  /* "gnocis/models.pyx":71
 * 	return processID, '%d %s'%(model.modelID, str(model))
 * 
 * def initializePoolProcessIDs(pool):             # <<<<<<<<<<<<<<
 * 	while True:
 * 		pool.map( setPoolProcessID, list(range(len(pool._pool))) )
 */
  __pyx_tuple__17 = PyTuple_Pack(3, __pyx_n_s_pool_2, __pyx_n_s_procIDs, __pyx_n_s__16); if (unlikely(!__pyx_tuple__17)) __PYX_ERR(0, 71, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__17);
  __Pyx_GIVEREF(__pyx_tuple__17);
  __pyx_codeobj__18 = (PyObject*)__Pyx_PyCode_New(1, 0, 3, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__17, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_initializePoolProcessIDs, 71, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__18)) __PYX_ERR(0, 71, __pyx_L1_error)

  /* "gnocis/models.pyx":78
 * 			break
 * 
 * def getPoolProcessIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	while True:
 */
  __pyx_tuple__19 = PyTuple_Pack(4, __pyx_n_s_pool_2, __pyx_n_s_pIDs, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__19)) __PYX_ERR(0, 78, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__19);
  __Pyx_GIVEREF(__pyx_tuple__19);
  __pyx_codeobj__20 = (PyObject*)__Pyx_PyCode_New(1, 0, 4, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__19, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getPoolProcessIDs, 78, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__20)) __PYX_ERR(0, 78, __pyx_L1_error)

  /* "gnocis/models.pyx":85
 * 			return pIDs
 * 
 * def getPoolModelIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	mIDs = set()
 */
  __pyx_tuple__21 = PyTuple_Pack(8, __pyx_n_s_pool_2, __pyx_n_s_pIDs, __pyx_n_s_mIDs, __pyx_n_s_r, __pyx_n_s__16, __pyx_n_s_genexpr, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__21)) __PYX_ERR(0, 85, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__21);
  __Pyx_GIVEREF(__pyx_tuple__21);
  __pyx_codeobj__22 = (PyObject*)__Pyx_PyCode_New(1, 0, 8, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__21, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getPoolModelIDs, 85, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__22)) __PYX_ERR(0, 85, __pyx_L1_error)

  /* "gnocis/models.pyx":95
 * 			return mIDs
 * 
 * def setPoolProcessModel(mdl):             # <<<<<<<<<<<<<<
 * 	global model
 * 	model = mdl
 */
  __pyx_tuple__23 = PyTuple_Pack(1, __pyx_n_s_mdl); if (unlikely(!__pyx_tuple__23)) __PYX_ERR(0, 95, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__23);
  __Pyx_GIVEREF(__pyx_tuple__23);
  __pyx_codeobj__24 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__23, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_setPoolProcessModel, 95, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__24)) __PYX_ERR(0, 95, __pyx_L1_error)

  /* "gnocis/models.pyx":100
 * 	return True
 * 
 * def getPoolProcessHasModel(arg):             # <<<<<<<<<<<<<<
 * 	global model, processID
 * 	return (processID, model != None)
 */
  __pyx_tuple__25 = PyTuple_Pack(1, __pyx_n_s_arg); if (unlikely(!__pyx_tuple__25)) __PYX_ERR(0, 100, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__25);
  __Pyx_GIVEREF(__pyx_tuple__25);
  __pyx_codeobj__26 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__25, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getPoolProcessHasModel, 100, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__26)) __PYX_ERR(0, 100, __pyx_L1_error)

  /* "gnocis/models.pyx":104
 * 	return (processID, model != None)
 * 
 * def setPoolModel(pool, mdl):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	if mdl == None:
 */
  __pyx_tuple__27 = PyTuple_Pack(11, __pyx_n_s_pool_2, __pyx_n_s_mdl, __pyx_n_s_pIDs, __pyx_n_s_r, __pyx_n_s__16, __pyx_n_s__16, __pyx_n_s_genexpr, __pyx_n_s_genexpr, __pyx_n_s__16, __pyx_n_s__16, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__27)) __PYX_ERR(0, 104, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__27);
  __Pyx_GIVEREF(__pyx_tuple__27);
  __pyx_codeobj__28 = (PyObject*)__Pyx_PyCode_New(2, 0, 11, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__27, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_setPoolModel, 104, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__28)) __PYX_ERR(0, 104, __pyx_L1_error)

  /* "gnocis/models.pyx":128
 * 				break
 * 
 * def setNCores(n):             # <<<<<<<<<<<<<<
 * 	"""
 * 	Sets the number of cores to use for multiprocessing.
 */
  __pyx_tuple__29 = PyTuple_Pack(1, __pyx_n_s_n); if (unlikely(!__pyx_tuple__29)) __PYX_ERR(0, 128, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__29);
  __Pyx_GIVEREF(__pyx_tuple__29);
  __pyx_codeobj__30 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__29, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_setNCores, 128, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__30)) __PYX_ERR(0, 128, __pyx_L1_error)

  /* "gnocis/models.pyx":159
 * 
 * 	# For pickling (used with multiprocessing)
 * 	def __getstate__(self):             # <<<<<<<<<<<<<<
 * 		return self.__dict__
 * 
 */
  __pyx_tuple__31 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__31)) __PYX_ERR(0, 159, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__31);
  __Pyx_GIVEREF(__pyx_tuple__31);
  __pyx_codeobj__32 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__31, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getstate, 159, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__32)) __PYX_ERR(0, 159, __pyx_L1_error)

  /* "gnocis/models.pyx":162
 * 		return self.__dict__
 * 
 * 	def __setstate__(self, state):             # <<<<<<<<<<<<<<
 * 		self.__dict__ = state
 * 
 */
  __pyx_tuple__33 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_state); if (unlikely(!__pyx_tuple__33)) __PYX_ERR(0, 162, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__33);
  __Pyx_GIVEREF(__pyx_tuple__33);
  __pyx_codeobj__34 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__33, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_setstate, 162, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__34)) __PYX_ERR(0, 162, __pyx_L1_error)

  /* "gnocis/models.pyx":166
 * 
 * 	# Gets a list of scores for a sequence list or stream. A stream is recommended when the sequence list is large, in order to avoid running out of memory.
 * 	def getSequenceScores(self, seqs):             # <<<<<<<<<<<<<<
 * 		""" Scores a set of sequences, returning the maximum window score for each.
 * 
 */
  __pyx_tuple__35 = PyTuple_Pack(14, __pyx_n_s_self, __pyx_n_s_seqs, __pyx_n_s_score, __pyx_n_s_blkScores, __pyx_n_s_blk, __pyx_n_s_cseq, __pyx_n_s_blk, __pyx_n_s_blkScores, __pyx_n_s_score, __pyx_n_s_blkScores, __pyx_n_s_score, __pyx_n_s_blk, __pyx_n_s_cseq, __pyx_n_s_cseq); if (unlikely(!__pyx_tuple__35)) __PYX_ERR(0, 166, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__35);
  __Pyx_GIVEREF(__pyx_tuple__35);
  __pyx_codeobj__36 = (PyObject*)__Pyx_PyCode_New(2, 0, 14, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__35, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getSequenceScores, 166, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__36)) __PYX_ERR(0, 166, __pyx_L1_error)

  /* "gnocis/models.pyx":217
 * 
 * 	# Gets the threshold that gives optimal accuracy on a pair of lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 * 	def getOptimalAccuracyThreshold(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Gets a threshold value optimized for accuracy to a set of positive and a set of negative sequences.
 * 
 */
  __pyx_tuple__37 = PyTuple_Pack(16, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives, __pyx_n_s_positiveScores, __pyx_n_s_negativeScores, __pyx_n_s_vPairs, __pyx_n_s_TP, __pyx_n_s_FP, __pyx_n_s_TN, __pyx_n_s_FN, __pyx_n_s_threshold, __pyx_n_s_ACC, __pyx_n_s_vp, __pyx_n_s_cACC, __pyx_n_s_score, __pyx_n_s_score); if (unlikely(!__pyx_tuple__37)) __PYX_ERR(0, 217, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__37);
  __Pyx_GIVEREF(__pyx_tuple__37);
  __pyx_codeobj__38 = (PyObject*)__Pyx_PyCode_New(3, 0, 16, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__37, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getOptimalAccuracyThreshold, 217, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__38)) __PYX_ERR(0, 217, __pyx_L1_error)

  /* "gnocis/models.pyx":249
 * 
 * 	# Gets the threshold that gives a desired precision for two lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 * 	def getPrecisionThreshold(self, positives, negatives, wantedPrecision):             # <<<<<<<<<<<<<<
 * 		""" Gets a threshold value for a desired precision to a set of positive and a set of negative sequences. Linear interpolation is used in order to achieve a close approximation.
 * 
 */
  __pyx_tuple__39 = PyTuple_Pack(19, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives, __pyx_n_s_wantedPrecision, __pyx_n_s_positiveScores, __pyx_n_s_negativeScores, __pyx_n_s_classScoresSorted, __pyx_n_s_TP, __pyx_n_s_FP, __pyx_n_s_aThreshold, __pyx_n_s_bThreshold, __pyx_n_s_aPrecision, __pyx_n_s_bPrecision, __pyx_n_s_e, __pyx_n_s_wPrecision, __pyx_n_s_wThreshold, __pyx_n_s_threshold, __pyx_n_s_score, __pyx_n_s_score); if (unlikely(!__pyx_tuple__39)) __PYX_ERR(0, 249, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__39);
  __Pyx_GIVEREF(__pyx_tuple__39);
  __pyx_codeobj__40 = (PyObject*)__Pyx_PyCode_New(4, 0, 19, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__39, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getPrecisionThreshold, 249, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__40)) __PYX_ERR(0, 249, __pyx_L1_error)

  /* "gnocis/models.pyx":293
 * 
 * 	# Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 	def calibrateGenomewidePrecision(self, positives, genome, factor = 1.0, precision = 0.8, bgModelOrder = 4, bgModel = None):             # <<<<<<<<<<<<<<
 * 		""" Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 
 */
  __pyx_tuple__41 = PyTuple_Pack(14, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_genome, __pyx_n_s_factor, __pyx_n_s_precision, __pyx_n_s_bgModelOrder, __pyx_n_s_bgModel, __pyx_n_s_seqLens, __pyx_n_s_genomeLen, __pyx_n_s_meanLen, __pyx_n_s_negatives, __pyx_n_s_genexpr, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__41)) __PYX_ERR(0, 293, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__41);
  __Pyx_GIVEREF(__pyx_tuple__41);
  __pyx_codeobj__42 = (PyObject*)__Pyx_PyCode_New(7, 0, 14, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__41, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_calibrateGenomewidePrecision, 293, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__42)) __PYX_ERR(0, 293, __pyx_L1_error)
  __pyx_tuple__43 = PyTuple_Pack(4, ((PyObject*)__pyx_float_1_0), ((PyObject*)__pyx_float_0_8), ((PyObject *)__pyx_int_4), ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__43)) __PYX_ERR(0, 293, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__43);
  __Pyx_GIVEREF(__pyx_tuple__43);

  /* "gnocis/models.pyx":331
 * 
 * 	# Applies model to a sequence with a sliding window, and returns the maximum score.
 * 	def scoreSequence(self, seq):             # <<<<<<<<<<<<<<
 * 		""" Scores a single sequence. The score is determined by applying the model with a sliding window, and taking the maximum score.
 * 
 */
  __pyx_tuple__44 = PyTuple_Pack(5, __pyx_n_s_self, __pyx_n_s_seq, __pyx_n_s_score, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__44)) __PYX_ERR(0, 331, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__44);
  __Pyx_GIVEREF(__pyx_tuple__44);
  __pyx_codeobj__45 = (PyObject*)__Pyx_PyCode_New(2, 0, 5, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__44, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_scoreSequence, 331, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__45)) __PYX_ERR(0, 331, __pyx_L1_error)

  /* "gnocis/models.pyx":354
 * 
 * 	# Gets and returns a confusion matrix.
 * 	def getConfusionMatrix(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a confusion matrix for sets of positive and negative sequences.
 * 
 */
  __pyx_tuple__46 = PyTuple_Pack(7, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives, __pyx_n_s_vPos, __pyx_n_s_vNeg, __pyx_n_s_score, __pyx_n_s_score); if (unlikely(!__pyx_tuple__46)) __PYX_ERR(0, 354, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__46);
  __Pyx_GIVEREF(__pyx_tuple__46);
  __pyx_codeobj__47 = (PyObject*)__Pyx_PyCode_New(3, 0, 7, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__46, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getConfusionMatrix, 354, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__47)) __PYX_ERR(0, 354, __pyx_L1_error)

  /* "gnocis/models.pyx":371
 * 
 * 	# Generates a Receiver Operating Characteristic curve.
 * 	def getROC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a Receiver Operating Characteristic (ROC) curve for sets of positive and negative sequences.
 * 
 */
  __pyx_tuple__48 = PyTuple_Pack(7, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives, __pyx_n_s_vPos, __pyx_n_s_vNeg, __pyx_n_s_score, __pyx_n_s_score); if (unlikely(!__pyx_tuple__48)) __PYX_ERR(0, 371, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__48);
  __Pyx_GIVEREF(__pyx_tuple__48);
  __pyx_codeobj__49 = (PyObject*)__Pyx_PyCode_New(3, 0, 7, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__48, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getROC, 371, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__49)) __PYX_ERR(0, 371, __pyx_L1_error)

  /* "gnocis/models.pyx":388
 * 
 * 	# Calculates the area under a Receiver Operating Characteristic curve.
 * 	def getROCAUC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns the area under a Receiver Operating Characteristic (ROCAUC) curve for sets of positive and negative sequences.
 * 
 */
  __pyx_tuple__50 = PyTuple_Pack(3, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives); if (unlikely(!__pyx_tuple__50)) __PYX_ERR(0, 388, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__50);
  __Pyx_GIVEREF(__pyx_tuple__50);
  __pyx_codeobj__51 = (PyObject*)__Pyx_PyCode_New(3, 0, 3, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__50, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getROCAUC, 388, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__51)) __PYX_ERR(0, 388, __pyx_L1_error)

  /* "gnocis/models.pyx":403
 * 
 * 	# Generates a Precision/Recall curve.
 * 	def getPRC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a Precision/Recall curve (PRC) for sets of positive and negative sequences.
 * 
 */
  __pyx_tuple__52 = PyTuple_Pack(7, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives, __pyx_n_s_vPos, __pyx_n_s_vNeg, __pyx_n_s_score, __pyx_n_s_score); if (unlikely(!__pyx_tuple__52)) __PYX_ERR(0, 403, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__52);
  __Pyx_GIVEREF(__pyx_tuple__52);
  __pyx_codeobj__53 = (PyObject*)__Pyx_PyCode_New(3, 0, 7, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__52, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getPRC, 403, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__53)) __PYX_ERR(0, 403, __pyx_L1_error)

  /* "gnocis/models.pyx":420
 * 
 * 	# Calculates the area under a Precision/Recall Curve.
 * 	def getPRCAUC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns the area under a Precision/Recall curve (PRCAUC) for sets of positive and negative sequences.
 * 
 */
  __pyx_tuple__54 = PyTuple_Pack(3, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives); if (unlikely(!__pyx_tuple__54)) __PYX_ERR(0, 420, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__54);
  __Pyx_GIVEREF(__pyx_tuple__54);
  __pyx_codeobj__55 = (PyObject*)__Pyx_PyCode_New(3, 0, 3, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__54, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getPRCAUC, 420, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__55)) __PYX_ERR(0, 420, __pyx_L1_error)

  /* "gnocis/models.pyx":435
 * 
 * 	# Returns validation statistics dictionary.
 * 	def getValidationStatistics(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Returns common model validation statistics (confusion matrix values; ROCAUC; PRCAUC).
 * 
 */
  __pyx_tuple__56 = PyTuple_Pack(6, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives, __pyx_n_s_CMStats, __pyx_n_s_stats, __pyx_n_s_k); if (unlikely(!__pyx_tuple__56)) __PYX_ERR(0, 435, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__56);
  __Pyx_GIVEREF(__pyx_tuple__56);
  __pyx_codeobj__57 = (PyObject*)__Pyx_PyCode_New(3, 0, 6, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__56, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getValidationStatistics, 435, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__57)) __PYX_ERR(0, 435, __pyx_L1_error)

  /* "gnocis/models.pyx":458
 * 
 * 	# Returns cross-validation statistics dictionary, with random training set splitting and training and testing on independent halves.
 * 	def getCrossValidationStatisticsRandomHalves(self, positives, negatives, nfolds):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */
  __pyx_tuple__58 = PyTuple_Pack(21, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives, __pyx_n_s_nfolds, __pyx_n_s_cpos, __pyx_n_s_cneg, __pyx_n_s_npos, __pyx_n_s_nneg, __pyx_n_s_stats, __pyx_n_s_foldStats, __pyx_n_s_i, __pyx_n_s_tpos, __pyx_n_s_tneg, __pyx_n_s_vpos, __pyx_n_s_vneg, __pyx_n_s_cvmdl, __pyx_n_s_CMStats, __pyx_n_s_k, __pyx_n_s_stat, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__58)) __PYX_ERR(0, 458, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__58);
  __Pyx_GIVEREF(__pyx_tuple__58);
  __pyx_codeobj__59 = (PyObject*)__Pyx_PyCode_New(4, 0, 21, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__58, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getCrossValidationStatisticsRand, 458, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__59)) __PYX_ERR(0, 458, __pyx_L1_error)

  /* "gnocis/models.pyx":481
 * 
 * 	# Returns cross-validation statistics dictionary, with leaving each training set sequence out and classifying it.
 * 	def getCrossValidationStatisticsLOO(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */
  __pyx_tuple__60 = PyTuple_Pack(23, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives, __pyx_n_s_cpos, __pyx_n_s_cneg, __pyx_n_s_npos, __pyx_n_s_nneg, __pyx_n_s_vPairs, __pyx_n_s_TP, __pyx_n_s_FP, __pyx_n_s_TN, __pyx_n_s_FN, __pyx_n_s_i, __pyx_n_s_e, __pyx_n_s_cvmdl, __pyx_n_s_score, __pyx_n_s_stats, __pyx_n_s_CMStats, __pyx_n_s_k, __pyx_n_s_AUC, __pyx_n_s_ROCcurve, __pyx_n_s_PRCcurve, __pyx_n_s_vp); if (unlikely(!__pyx_tuple__60)) __PYX_ERR(0, 481, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__60);
  __Pyx_GIVEREF(__pyx_tuple__60);
  __pyx_codeobj__61 = (PyObject*)__Pyx_PyCode_New(3, 0, 23, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__60, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getCrossValidationStatisticsLOO, 481, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__61)) __PYX_ERR(0, 481, __pyx_L1_error)

  /* "gnocis/models.pyx":524
 * 
 * 	# Predicts regions inside a sequence stream using a sliding window.
 * 	def predictSequenceStreamRegions(self, stream):             # <<<<<<<<<<<<<<
 * 		""" Applies the model using a sliding window across an input sequence stream or sequence set. Windows with a score >= self.threshold are predicted, and predicted windows are merged into non-overlapping predictions.
 * 
 */
  __pyx_tuple__62 = PyTuple_Pack(12, __pyx_n_s_self, __pyx_n_s_stream, __pyx_n_s_pred, __pyx_n_s_winPosSet, __pyx_n_s_winScoreSet, __pyx_n_s_i, __pyx_n_s_nNT, __pyx_n_s_winPos, __pyx_n_s_winSeq, __pyx_n_s_winSeqSet, __pyx_n_s_wScore, __pyx_n_s_cScores); if (unlikely(!__pyx_tuple__62)) __PYX_ERR(0, 524, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__62);
  __Pyx_GIVEREF(__pyx_tuple__62);
  __pyx_codeobj__63 = (PyObject*)__Pyx_PyCode_New(2, 0, 12, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__62, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_predictSequenceStreamRegions, 524, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__63)) __PYX_ERR(0, 524, __pyx_L1_error)

  /* "gnocis/models.pyx":571
 * 
 * 	# Short-hand for predictSequenceStreamRegions.
 * 	def predict(self, stream):             # <<<<<<<<<<<<<<
 * 		""" Applies the model using a sliding window across an input sequence stream or sequence set. Windows with a score >= self.threshold are predicted, and predicted windows are merged into non-overlapping predictions.
 * 
 */
  __pyx_tuple__64 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_stream); if (unlikely(!__pyx_tuple__64)) __PYX_ERR(0, 571, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__64);
  __Pyx_GIVEREF(__pyx_tuple__64);
  __pyx_codeobj__65 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__64, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_predict, 571, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__65)) __PYX_ERR(0, 571, __pyx_L1_error)

  /* "gnocis/models.pyx":583
 * 
 * 	# Prints out test statistics.
 * 	def printTestStatistics(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		printValidationStatistics( self.getValidationStatistics(positives, negatives) )
 * 
 */
  __pyx_tuple__66 = PyTuple_Pack(3, __pyx_n_s_self, __pyx_n_s_positives, __pyx_n_s_negatives); if (unlikely(!__pyx_tuple__66)) __PYX_ERR(0, 583, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__66);
  __Pyx_GIVEREF(__pyx_tuple__66);
  __pyx_codeobj__67 = (PyObject*)__Pyx_PyCode_New(3, 0, 3, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__66, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_printTestStatistics, 583, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__67)) __PYX_ERR(0, 583, __pyx_L1_error)

  /* "gnocis/models.pyx":600
 * 	"""
 * 
 * 	def __init__(self, features, windowSize, windowStep):             # <<<<<<<<<<<<<<
 * 		self.threshold = 0.0
 * 		self.features = features
 */
  __pyx_tuple__68 = PyTuple_Pack(4, __pyx_n_s_self, __pyx_n_s_features, __pyx_n_s_windowSize, __pyx_n_s_windowStep); if (unlikely(!__pyx_tuple__68)) __PYX_ERR(0, 600, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__68);
  __Pyx_GIVEREF(__pyx_tuple__68);
  __pyx_codeobj__69 = (PyObject*)__Pyx_PyCode_New(4, 0, 4, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__68, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_init, 600, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__69)) __PYX_ERR(0, 600, __pyx_L1_error)

  /* "gnocis/models.pyx":605
 * 		self.windowSize, self.windowStep = windowSize, windowStep
 * 
 * 	def __str__(self):             # <<<<<<<<<<<<<<
 * 		return 'Dummy model<Features: %s>'%(str(self.features))
 * 
 */
  __pyx_tuple__70 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__70)) __PYX_ERR(0, 605, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__70);
  __Pyx_GIVEREF(__pyx_tuple__70);
  __pyx_codeobj__71 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__70, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_str, 605, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__71)) __PYX_ERR(0, 605, __pyx_L1_error)

  /* "gnocis/models.pyx":608
 * 		return 'Dummy model<Features: %s>'%(str(self.features))
 * 
 * 	def __repr__(self): return self.__str__()             # <<<<<<<<<<<<<<
 * 
 * 	def getCrossValidationConstructor(self):
 */
  __pyx_tuple__72 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__72)) __PYX_ERR(0, 608, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__72);
  __Pyx_GIVEREF(__pyx_tuple__72);
  __pyx_codeobj__73 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__72, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_repr, 608, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__73)) __PYX_ERR(0, 608, __pyx_L1_error)

  /* "gnocis/models.pyx":610
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)
 * 
 */
  __pyx_tuple__74 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__74)) __PYX_ERR(0, 610, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__74);
  __Pyx_GIVEREF(__pyx_tuple__74);
  __pyx_codeobj__75 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__74, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getCrossValidationConstructor, 610, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__75)) __PYX_ERR(0, 610, __pyx_L1_error)

  /* "gnocis/models.pyx":613
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)
 * 
 * 	def scoreWindow(self, seq):             # <<<<<<<<<<<<<<
 * 		cdef list fv
 * 		cdef float ret, v
 */
  __pyx_tuple__76 = PyTuple_Pack(5, __pyx_n_s_self, __pyx_n_s_seq, __pyx_n_s_fv, __pyx_n_s_ret, __pyx_n_s_v); if (unlikely(!__pyx_tuple__76)) __PYX_ERR(0, 613, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__76);
  __Pyx_GIVEREF(__pyx_tuple__76);
  __pyx_codeobj__77 = (PyObject*)__Pyx_PyCode_New(2, 0, 5, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__76, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_scoreWindow, 613, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__77)) __PYX_ERR(0, 613, __pyx_L1_error)

  /* "gnocis/models.pyx":640
 * 	"""
 * 
 * 	def __init__(self, features, trainingPositives, trainingNegatives, windowSize, windowStep):             # <<<<<<<<<<<<<<
 * 		self.threshold = 0.0
 * 		self.features = features
 */
  __pyx_tuple__78 = PyTuple_Pack(13, __pyx_n_s_self, __pyx_n_s_features, __pyx_n_s_trainingPositives, __pyx_n_s_trainingNegatives, __pyx_n_s_windowSize, __pyx_n_s_windowStep, __pyx_n_s_f, __pyx_n_s_vPos, __pyx_n_s_vNeg, __pyx_n_s_weight, __pyx_n_s_genexpr, __pyx_n_s_genexpr, __pyx_n_s_genexpr); if (unlikely(!__pyx_tuple__78)) __PYX_ERR(0, 640, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__78);
  __Pyx_GIVEREF(__pyx_tuple__78);
  __pyx_codeobj__79 = (PyObject*)__Pyx_PyCode_New(6, 0, 13, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__78, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_init, 640, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__79)) __PYX_ERR(0, 640, __pyx_L1_error)

  /* "gnocis/models.pyx":657
 * 			self.sortedweights.append(weight)
 * 
 * 	def __str__(self):             # <<<<<<<<<<<<<<
 * 		return 'Log-odds model<Features: %s; Positives: %s; Negatives: %s>'%(str(self.features), str(self.trainingPositives), str(self.trainingNegatives))
 * 
 */
  __pyx_tuple__80 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__80)) __PYX_ERR(0, 657, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__80);
  __Pyx_GIVEREF(__pyx_tuple__80);
  __pyx_codeobj__81 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__80, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_str, 657, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__81)) __PYX_ERR(0, 657, __pyx_L1_error)

  /* "gnocis/models.pyx":660
 * 		return 'Log-odds model<Features: %s; Positives: %s; Negatives: %s>'%(str(self.features), str(self.trainingPositives), str(self.trainingNegatives))
 * 
 * 	def __repr__(self): return self.__str__()             # <<<<<<<<<<<<<<
 * 
 * 	def getCrossValidationConstructor(self):
 */
  __pyx_tuple__82 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__82)) __PYX_ERR(0, 660, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__82);
  __Pyx_GIVEREF(__pyx_tuple__82);
  __pyx_codeobj__83 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__82, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_repr, 660, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__83)) __PYX_ERR(0, 660, __pyx_L1_error)

  /* "gnocis/models.pyx":662
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)
 * 
 */
  __pyx_tuple__84 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__84)) __PYX_ERR(0, 662, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__84);
  __Pyx_GIVEREF(__pyx_tuple__84);
  __pyx_codeobj__85 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__84, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_getCrossValidationConstructor, 662, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__85)) __PYX_ERR(0, 662, __pyx_L1_error)

  /* "gnocis/models.pyx":665
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)
 * 
 * 	def scoreWindow(self, seq):             # <<<<<<<<<<<<<<
 * 		cdef list fv, w
 * 		cdef int i
 */
  __pyx_tuple__86 = PyTuple_Pack(6, __pyx_n_s_self, __pyx_n_s_seq, __pyx_n_s_fv, __pyx_n_s_w, __pyx_n_s_i, __pyx_n_s_ret); if (unlikely(!__pyx_tuple__86)) __PYX_ERR(0, 665, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__86);
  __Pyx_GIVEREF(__pyx_tuple__86);
  __pyx_codeobj__87 = (PyObject*)__Pyx_PyCode_New(2, 0, 6, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__86, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_scoreWindow, 665, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__87)) __PYX_ERR(0, 665, __pyx_L1_error)

  /* "gnocis/models.pyx":676
 * 
 * # Trains a singular-motif PREdictor model with a given set of motifs and positive and negative training sequences.
 * def trainSinglePREdictorModel(motifs, positives, negatives, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelLogOdds(features.getMotifSpectrum(motifs), positives, negatives, windowSize, windowStep)
 * 
 */
  __pyx_tuple__88 = PyTuple_Pack(5, __pyx_n_s_motifs, __pyx_n_s_positives, __pyx_n_s_negatives, __pyx_n_s_windowSize, __pyx_n_s_windowStep); if (unlikely(!__pyx_tuple__88)) __PYX_ERR(0, 676, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__88);
  __Pyx_GIVEREF(__pyx_tuple__88);
  __pyx_codeobj__89 = (PyObject*)__Pyx_PyCode_New(5, 0, 5, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__88, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_trainSinglePREdictorModel, 676, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__89)) __PYX_ERR(0, 676, __pyx_L1_error)

  /* "gnocis/models.pyx":680
 * 
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 * def createDummyPREdictorModel(motifs, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelDummy(features.getPREdictorMotifPairSpectrum(motifs, 219), windowSize, windowStep)
 * 
 */
  __pyx_tuple__90 = PyTuple_Pack(3, __pyx_n_s_motifs, __pyx_n_s_windowSize, __pyx_n_s_windowStep); if (unlikely(!__pyx_tuple__90)) __PYX_ERR(0, 680, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__90);
  __Pyx_GIVEREF(__pyx_tuple__90);
  __pyx_codeobj__91 = (PyObject*)__Pyx_PyCode_New(3, 0, 3, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__90, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_createDummyPREdictorModel, 680, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__91)) __PYX_ERR(0, 680, __pyx_L1_error)

  /* "gnocis/models.pyx":684
 * 
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 * def trainPREdictorModel(motifs, positives, negatives, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelLogOdds(features.getPREdictorMotifPairSpectrum(motifs, 219), positives, negatives, windowSize, windowStep)
 * 
 */
  __pyx_tuple__92 = PyTuple_Pack(5, __pyx_n_s_motifs, __pyx_n_s_positives, __pyx_n_s_negatives, __pyx_n_s_windowSize, __pyx_n_s_windowStep); if (unlikely(!__pyx_tuple__92)) __PYX_ERR(0, 684, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__92);
  __Pyx_GIVEREF(__pyx_tuple__92);
  __pyx_codeobj__93 = (PyObject*)__Pyx_PyCode_New(5, 0, 5, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__92, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_gnocis_models_pyx, __pyx_n_s_trainPREdictorModel, 684, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__93)) __PYX_ERR(0, 684, __pyx_L1_error)
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_RefNannyFinishContext();
  return -1;
}

static CYTHON_SMALL_CODE int __Pyx_InitGlobals(void) {
  if (__Pyx_InitStrings(__pyx_string_tab) < 0) __PYX_ERR(0, 1, __pyx_L1_error);
  __pyx_float_0_0 = PyFloat_FromDouble(0.0); if (unlikely(!__pyx_float_0_0)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_float_0_8 = PyFloat_FromDouble(0.8); if (unlikely(!__pyx_float_0_8)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_float_1_0 = PyFloat_FromDouble(1.0); if (unlikely(!__pyx_float_1_0)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_0 = PyInt_FromLong(0); if (unlikely(!__pyx_int_0)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_1 = PyInt_FromLong(1); if (unlikely(!__pyx_int_1)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_2 = PyInt_FromLong(2); if (unlikely(!__pyx_int_2)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_4 = PyInt_FromLong(4); if (unlikely(!__pyx_int_4)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_10 = PyInt_FromLong(10); if (unlikely(!__pyx_int_10)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_219 = PyInt_FromLong(219); if (unlikely(!__pyx_int_219)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_500 = PyInt_FromLong(500); if (unlikely(!__pyx_int_500)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_1000 = PyInt_FromLong(1000); if (unlikely(!__pyx_int_1000)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_100000 = PyInt_FromLong(100000L); if (unlikely(!__pyx_int_100000)) __PYX_ERR(0, 1, __pyx_L1_error)
  return 0;
  __pyx_L1_error:;
  return -1;
}

static CYTHON_SMALL_CODE int __Pyx_modinit_global_init_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_variable_export_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_function_export_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_type_init_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_type_import_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_variable_import_code(void); /*proto*/
static CYTHON_SMALL_CODE int __Pyx_modinit_function_import_code(void); /*proto*/

static int __Pyx_modinit_global_init_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_global_init_code", 0);
  /*--- Global init code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_variable_export_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_variable_export_code", 0);
  /*--- Variable export code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_function_export_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_function_export_code", 0);
  /*--- Function export code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_type_init_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_type_init_code", 0);
  /*--- Type init code ---*/
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer) < 0) __PYX_ERR(0, 31, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer = &__pyx_type_6gnocis_6models___pyx_scope_struct__multiprocessModelDeployer;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_1_genexpr) < 0) __PYX_ERR(0, 42, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_1_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_1_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_1_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_1_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_1_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_1_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs) < 0) __PYX_ERR(0, 78, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs = &__pyx_type_6gnocis_6models___pyx_scope_struct_2_getPoolProcessIDs;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_3_genexpr) < 0) __PYX_ERR(0, 81, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_3_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_3_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_3_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_3_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_3_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_3_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs) < 0) __PYX_ERR(0, 85, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs = &__pyx_type_6gnocis_6models___pyx_scope_struct_4_getPoolModelIDs;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_5_genexpr) < 0) __PYX_ERR(0, 90, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_5_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_5_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_5_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_5_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_5_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_5_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_6_genexpr) < 0) __PYX_ERR(0, 91, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_6_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_6_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_6_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_6_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_6_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_6_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_7_setPoolModel) < 0) __PYX_ERR(0, 104, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_7_setPoolModel.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_7_setPoolModel.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_7_setPoolModel.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_7_setPoolModel.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_7_setPoolModel = &__pyx_type_6gnocis_6models___pyx_scope_struct_7_setPoolModel;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_8_genexpr) < 0) __PYX_ERR(0, 113, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_8_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_8_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_8_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_8_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_8_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_8_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_9_genexpr) < 0) __PYX_ERR(0, 124, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_9_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_9_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_9_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_9_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_9_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_9_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision) < 0) __PYX_ERR(0, 293, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision = &__pyx_type_6gnocis_6models___pyx_scope_struct_10_calibrateGenomewidePrecision;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_11_genexpr) < 0) __PYX_ERR(0, 317, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_11_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_11_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_11_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_11_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_11_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_11_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_12_genexpr) < 0) __PYX_ERR(0, 324, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_12_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_12_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_12_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_12_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_12_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_12_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_13_scoreSequence) < 0) __PYX_ERR(0, 331, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_13_scoreSequence.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_13_scoreSequence.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_13_scoreSequence.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_13_scoreSequence.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_13_scoreSequence = &__pyx_type_6gnocis_6models___pyx_scope_struct_13_scoreSequence;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_14_genexpr) < 0) __PYX_ERR(0, 344, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_14_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_14_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_14_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_14_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_14_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_14_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves) < 0) __PYX_ERR(0, 458, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves = &__pyx_type_6gnocis_6models___pyx_scope_struct_15_getCrossValidationStatisticsRandomHalves;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_16_genexpr) < 0) __PYX_ERR(0, 477, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_16_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_16_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_16_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_16_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_16_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_16_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor) < 0) __PYX_ERR(0, 610, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor = &__pyx_type_6gnocis_6models___pyx_scope_struct_17_getCrossValidationConstructor;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_18___init__) < 0) __PYX_ERR(0, 640, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_18___init__.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_18___init__.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_18___init__.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_18___init__.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_18___init__ = &__pyx_type_6gnocis_6models___pyx_scope_struct_18___init__;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_19_genexpr) < 0) __PYX_ERR(0, 648, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_19_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_19_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_19_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_19_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_19_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_19_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_20_genexpr) < 0) __PYX_ERR(0, 649, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_20_genexpr.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_20_genexpr.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_20_genexpr.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_20_genexpr.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_20_genexpr = &__pyx_type_6gnocis_6models___pyx_scope_struct_20_genexpr;
  if (PyType_Ready(&__pyx_type_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor) < 0) __PYX_ERR(0, 662, __pyx_L1_error)
  __pyx_type_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor.tp_print = 0;
  if ((CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP) && likely(!__pyx_type_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor.tp_dictoffset && __pyx_type_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor.tp_getattro == PyObject_GenericGetAttr)) {
    __pyx_type_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
  }
  __pyx_ptype_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor = &__pyx_type_6gnocis_6models___pyx_scope_struct_21_getCrossValidationConstructor;
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_RefNannyFinishContext();
  return -1;
}

static int __Pyx_modinit_type_import_code(void) {
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("__Pyx_modinit_type_import_code", 0);
  /*--- Type import code ---*/
  __pyx_t_1 = PyImport_ImportModule("gnocis.regions"); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 16, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_ptype_6gnocis_7regions_region = __Pyx_ImportType(__pyx_t_1, "gnocis.regions", "region", sizeof(struct __pyx_obj_6gnocis_7regions_region), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_7regions_region) __PYX_ERR(1, 16, __pyx_L1_error)
  __pyx_ptype_6gnocis_7regions_regions = __Pyx_ImportType(__pyx_t_1, "gnocis.regions", "regions", sizeof(struct __pyx_obj_6gnocis_7regions_regions), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_7regions_regions) __PYX_ERR(1, 27, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyImport_ImportModule("gnocis.sequences"); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 17, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_ptype_6gnocis_9sequences_sequence = __Pyx_ImportType(__pyx_t_1, "gnocis.sequences", "sequence", sizeof(struct __pyx_obj_6gnocis_9sequences_sequence), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_9sequences_sequence) __PYX_ERR(2, 17, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_9sequences_sequence = (struct __pyx_vtabstruct_6gnocis_9sequences_sequence*)__Pyx_GetVtable(__pyx_ptype_6gnocis_9sequences_sequence->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_9sequences_sequence)) __PYX_ERR(2, 17, __pyx_L1_error)
  __pyx_ptype_6gnocis_9sequences_sequences = __Pyx_ImportType(__pyx_t_1, "gnocis.sequences", "sequences", sizeof(struct __pyx_obj_6gnocis_9sequences_sequences), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_9sequences_sequences) __PYX_ERR(2, 26, __pyx_L1_error)
  __pyx_ptype_6gnocis_9sequences_sequenceStream = __Pyx_ImportType(__pyx_t_1, "gnocis.sequences", "sequenceStream", sizeof(struct __pyx_obj_6gnocis_9sequences_sequenceStream), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_9sequences_sequenceStream) __PYX_ERR(2, 38, __pyx_L1_error)
  __pyx_ptype_6gnocis_9sequences_sequenceGenerator = __Pyx_ImportType(__pyx_t_1, "gnocis.sequences", "sequenceGenerator", sizeof(struct __pyx_obj_6gnocis_9sequences_sequenceGenerator), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_9sequences_sequenceGenerator) __PYX_ERR(2, 54, __pyx_L1_error)
  __pyx_ptype_6gnocis_9sequences_generatorMarkovChain = __Pyx_ImportType(__pyx_t_1, "gnocis.sequences", "generatorMarkovChain", sizeof(struct __pyx_obj_6gnocis_9sequences_generatorMarkovChain), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_9sequences_generatorMarkovChain) __PYX_ERR(2, 57, __pyx_L1_error)
  __pyx_ptype_6gnocis_9sequences_generatorIID = __Pyx_ImportType(__pyx_t_1, "gnocis.sequences", "generatorIID", sizeof(struct __pyx_obj_6gnocis_9sequences_generatorIID), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_9sequences_generatorIID) __PYX_ERR(2, 67, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyImport_ImportModule("gnocis.features"); if (unlikely(!__pyx_t_1)) __PYX_ERR(3, 17, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_ptype_6gnocis_8features_feature = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "feature", sizeof(struct __pyx_obj_6gnocis_8features_feature), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_feature) __PYX_ERR(3, 17, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_feature = (struct __pyx_vtabstruct_6gnocis_8features_feature*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_feature->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_feature)) __PYX_ERR(3, 17, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_features = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "features", sizeof(struct __pyx_obj_6gnocis_8features_features), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_features) __PYX_ERR(3, 24, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_features = (struct __pyx_vtabstruct_6gnocis_8features_features*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_features->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_features)) __PYX_ERR(3, 24, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_scaledFeature = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "scaledFeature", sizeof(struct __pyx_obj_6gnocis_8features_scaledFeature), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_scaledFeature) __PYX_ERR(3, 33, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_scaledFeature = (struct __pyx_vtabstruct_6gnocis_8features_scaledFeature*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_scaledFeature->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_scaledFeature)) __PYX_ERR(3, 33, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_featureScaler = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "featureScaler", sizeof(struct __pyx_obj_6gnocis_8features_featureScaler), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_featureScaler) __PYX_ERR(3, 40, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_featureScaler = (struct __pyx_vtabstruct_6gnocis_8features_featureScaler*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_featureScaler->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_featureScaler)) __PYX_ERR(3, 40, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_featureMotifOccurrenceFrequency = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "featureMotifOccurrenceFrequency", sizeof(struct __pyx_obj_6gnocis_8features_featureMotifOccurrenceFrequency), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_featureMotifOccurrenceFrequency) __PYX_ERR(3, 49, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_featureMotifOccurrenceFrequency = (struct __pyx_vtabstruct_6gnocis_8features_featureMotifOccurrenceFrequency*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_featureMotifOccurrenceFrequency->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_featureMotifOccurrenceFrequency)) __PYX_ERR(3, 49, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "featurePREdictorMotifPairOccurrenceFrequency", sizeof(struct __pyx_obj_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency) __PYX_ERR(3, 56, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency = (struct __pyx_vtabstruct_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_featurePREdictorMotifPairOccurrenceFrequency)) __PYX_ERR(3, 56, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_kSpectrumFeature = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "kSpectrumFeature", sizeof(struct __pyx_obj_6gnocis_8features_kSpectrumFeature), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_kSpectrumFeature) __PYX_ERR(3, 68, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_kSpectrumFeature = (struct __pyx_vtabstruct_6gnocis_8features_kSpectrumFeature*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_kSpectrumFeature->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_kSpectrumFeature)) __PYX_ERR(3, 68, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_kSpectrum = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "kSpectrum", sizeof(struct __pyx_obj_6gnocis_8features_kSpectrum), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_kSpectrum) __PYX_ERR(3, 77, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_kSpectrum = (struct __pyx_vtabstruct_6gnocis_8features_kSpectrum*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_kSpectrum->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_kSpectrum)) __PYX_ERR(3, 77, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_kSpectrumMMFeature = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "kSpectrumMMFeature", sizeof(struct __pyx_obj_6gnocis_8features_kSpectrumMMFeature), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_kSpectrumMMFeature) __PYX_ERR(3, 91, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_kSpectrumMMFeature = (struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMMFeature*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_kSpectrumMMFeature->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_kSpectrumMMFeature)) __PYX_ERR(3, 91, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_kSpectrumMM = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "kSpectrumMM", sizeof(struct __pyx_obj_6gnocis_8features_kSpectrumMM), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_kSpectrumMM) __PYX_ERR(3, 100, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_kSpectrumMM = (struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMM*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_kSpectrumMM->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_kSpectrumMM)) __PYX_ERR(3, 100, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_kSpectrumMMDFeature = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "kSpectrumMMDFeature", sizeof(struct __pyx_obj_6gnocis_8features_kSpectrumMMDFeature), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_kSpectrumMMDFeature) __PYX_ERR(3, 116, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_kSpectrumMMDFeature = (struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMMDFeature*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_kSpectrumMMDFeature->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_kSpectrumMMDFeature)) __PYX_ERR(3, 116, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_kSpectrumMMD = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "kSpectrumMMD", sizeof(struct __pyx_obj_6gnocis_8features_kSpectrumMMD), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_kSpectrumMMD) __PYX_ERR(3, 125, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_kSpectrumMMD = (struct __pyx_vtabstruct_6gnocis_8features_kSpectrumMMD*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_kSpectrumMMD->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_kSpectrumMMD)) __PYX_ERR(3, 125, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_kSpectrumFeaturePDS = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "kSpectrumFeaturePDS", sizeof(struct __pyx_obj_6gnocis_8features_kSpectrumFeaturePDS), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_kSpectrumFeaturePDS) __PYX_ERR(3, 140, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_kSpectrumFeaturePDS = (struct __pyx_vtabstruct_6gnocis_8features_kSpectrumFeaturePDS*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_kSpectrumFeaturePDS->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_kSpectrumFeaturePDS)) __PYX_ERR(3, 140, __pyx_L1_error)
  __pyx_ptype_6gnocis_8features_kSpectrumPDS = __Pyx_ImportType(__pyx_t_1, "gnocis.features", "kSpectrumPDS", sizeof(struct __pyx_obj_6gnocis_8features_kSpectrumPDS), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_8features_kSpectrumPDS) __PYX_ERR(3, 150, __pyx_L1_error)
  __pyx_vtabptr_6gnocis_8features_kSpectrumPDS = (struct __pyx_vtabstruct_6gnocis_8features_kSpectrumPDS*)__Pyx_GetVtable(__pyx_ptype_6gnocis_8features_kSpectrumPDS->tp_dict); if (unlikely(!__pyx_vtabptr_6gnocis_8features_kSpectrumPDS)) __PYX_ERR(3, 150, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyImport_ImportModule("gnocis.validation"); if (unlikely(!__pyx_t_1)) __PYX_ERR(4, 17, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_ptype_6gnocis_10validation_point2D = __Pyx_ImportType(__pyx_t_1, "gnocis.validation", "point2D", sizeof(struct __pyx_obj_6gnocis_10validation_point2D), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_10validation_point2D) __PYX_ERR(4, 17, __pyx_L1_error)
  __pyx_ptype_6gnocis_10validation_validationPair = __Pyx_ImportType(__pyx_t_1, "gnocis.validation", "validationPair", sizeof(struct __pyx_obj_6gnocis_10validation_validationPair), __Pyx_ImportType_CheckSize_Warn);
   if (!__pyx_ptype_6gnocis_10validation_validationPair) __PYX_ERR(4, 22, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_RefNannyFinishContext();
  return -1;
}

static int __Pyx_modinit_variable_import_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_variable_import_code", 0);
  /*--- Variable import code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_function_import_code(void) {
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("__Pyx_modinit_function_import_code", 0);
  /*--- Function import code ---*/
  __pyx_t_1 = PyImport_ImportModule("gnocis.sequences"); if (!__pyx_t_1) __PYX_ERR(0, 1, __pyx_L1_error)
  if (__Pyx_ImportFunction(__pyx_t_1, "getSequenceStreamFromPath", (void (**)(void))&__pyx_f_6gnocis_9sequences_getSequenceStreamFromPath, "PyObject *(PyObject *, int __pyx_skip_dispatch, struct __pyx_opt_args_6gnocis_9sequences_getSequenceStreamFromPath *__pyx_optional_args)") < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  Py_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_RefNannyFinishContext();
  return -1;
}


#if PY_MAJOR_VERSION < 3
#ifdef CYTHON_NO_PYINIT_EXPORT
#define __Pyx_PyMODINIT_FUNC void
#else
#define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC
#endif
#else
#ifdef CYTHON_NO_PYINIT_EXPORT
#define __Pyx_PyMODINIT_FUNC PyObject *
#else
#define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC
#endif
#endif


#if PY_MAJOR_VERSION < 3
__Pyx_PyMODINIT_FUNC initmodels(void) CYTHON_SMALL_CODE; /*proto*/
__Pyx_PyMODINIT_FUNC initmodels(void)
#else
__Pyx_PyMODINIT_FUNC PyInit_models(void) CYTHON_SMALL_CODE; /*proto*/
__Pyx_PyMODINIT_FUNC PyInit_models(void)
#if CYTHON_PEP489_MULTI_PHASE_INIT
{
  return PyModuleDef_Init(&__pyx_moduledef);
}
static CYTHON_SMALL_CODE int __Pyx_check_single_interpreter(void) {
    #if PY_VERSION_HEX >= 0x030700A1
    static PY_INT64_T main_interpreter_id = -1;
    PY_INT64_T current_id = PyInterpreterState_GetID(PyThreadState_Get()->interp);
    if (main_interpreter_id == -1) {
        main_interpreter_id = current_id;
        return (unlikely(current_id == -1)) ? -1 : 0;
    } else if (unlikely(main_interpreter_id != current_id))
    #else
    static PyInterpreterState *main_interpreter = NULL;
    PyInterpreterState *current_interpreter = PyThreadState_Get()->interp;
    if (!main_interpreter) {
        main_interpreter = current_interpreter;
    } else if (unlikely(main_interpreter != current_interpreter))
    #endif
    {
        PyErr_SetString(
            PyExc_ImportError,
            "Interpreter change detected - this module can only be loaded into one interpreter per process.");
        return -1;
    }
    return 0;
}
static CYTHON_SMALL_CODE int __Pyx_copy_spec_to_module(PyObject *spec, PyObject *moddict, const char* from_name, const char* to_name, int allow_none) {
    PyObject *value = PyObject_GetAttrString(spec, from_name);
    int result = 0;
    if (likely(value)) {
        if (allow_none || value != Py_None) {
            result = PyDict_SetItemString(moddict, to_name, value);
        }
        Py_DECREF(value);
    } else if (PyErr_ExceptionMatches(PyExc_AttributeError)) {
        PyErr_Clear();
    } else {
        result = -1;
    }
    return result;
}
static CYTHON_SMALL_CODE PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNUSED PyModuleDef *def) {
    PyObject *module = NULL, *moddict, *modname;
    if (__Pyx_check_single_interpreter())
        return NULL;
    if (__pyx_m)
        return __Pyx_NewRef(__pyx_m);
    modname = PyObject_GetAttrString(spec, "name");
    if (unlikely(!modname)) goto bad;
    module = PyModule_NewObject(modname);
    Py_DECREF(modname);
    if (unlikely(!module)) goto bad;
    moddict = PyModule_GetDict(module);
    if (unlikely(!moddict)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "loader", "__loader__", 1) < 0)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "origin", "__file__", 1) < 0)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "parent", "__package__", 1) < 0)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "submodule_search_locations", "__path__", 0) < 0)) goto bad;
    return module;
bad:
    Py_XDECREF(module);
    return NULL;
}


static CYTHON_SMALL_CODE int __pyx_pymod_exec_models(PyObject *__pyx_pyinit_module)
#endif
#endif
{
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  __Pyx_RefNannyDeclarations
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  if (__pyx_m) {
    if (__pyx_m == __pyx_pyinit_module) return 0;
    PyErr_SetString(PyExc_RuntimeError, "Module 'models' has already been imported. Re-initialisation is not supported.");
    return -1;
  }
  #elif PY_MAJOR_VERSION >= 3
  if (__pyx_m) return __Pyx_NewRef(__pyx_m);
  #endif
  #if CYTHON_REFNANNY
__Pyx_RefNanny = __Pyx_RefNannyImportAPI("refnanny");
if (!__Pyx_RefNanny) {
  PyErr_Clear();
  __Pyx_RefNanny = __Pyx_RefNannyImportAPI("Cython.Runtime.refnanny");
  if (!__Pyx_RefNanny)
      Py_FatalError("failed to import 'refnanny' module");
}
#endif
  __Pyx_RefNannySetupContext("__Pyx_PyMODINIT_FUNC PyInit_models(void)", 0);
  if (__Pyx_check_binary_version() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #ifdef __Pxy_PyFrame_Initialize_Offsets
  __Pxy_PyFrame_Initialize_Offsets();
  #endif
  __pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_empty_unicode = PyUnicode_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_unicode)) __PYX_ERR(0, 1, __pyx_L1_error)
  #ifdef __Pyx_CyFunction_USED
  if (__pyx_CyFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_FusedFunction_USED
  if (__pyx_FusedFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_Coroutine_USED
  if (__pyx_Coroutine_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_Generator_USED
  if (__pyx_Generator_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_AsyncGen_USED
  if (__pyx_AsyncGen_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_StopAsyncIteration_USED
  if (__pyx_StopAsyncIteration_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  /*--- Library function declarations ---*/
  /*--- Threads initialization code ---*/
  #if defined(__PYX_FORCE_INIT_THREADS) && __PYX_FORCE_INIT_THREADS
  #ifdef WITH_THREAD /* Python build with threading support? */
  PyEval_InitThreads();
  #endif
  #endif
  /*--- Module creation code ---*/
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  __pyx_m = __pyx_pyinit_module;
  Py_INCREF(__pyx_m);
  #else
  #if PY_MAJOR_VERSION < 3
  __pyx_m = Py_InitModule4("models", __pyx_methods, 0, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
  #else
  __pyx_m = PyModule_Create(&__pyx_moduledef);
  #endif
  if (unlikely(!__pyx_m)) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  __pyx_d = PyModule_GetDict(__pyx_m); if (unlikely(!__pyx_d)) __PYX_ERR(0, 1, __pyx_L1_error)
  Py_INCREF(__pyx_d);
  __pyx_b = PyImport_AddModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_b)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_cython_runtime = PyImport_AddModule((char *) "cython_runtime"); if (unlikely(!__pyx_cython_runtime)) __PYX_ERR(0, 1, __pyx_L1_error)
  #if CYTHON_COMPILING_IN_PYPY
  Py_INCREF(__pyx_b);
  #endif
  if (PyObject_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) __PYX_ERR(0, 1, __pyx_L1_error);
  /*--- Initialize various global constants etc. ---*/
  if (__Pyx_InitGlobals() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #if PY_MAJOR_VERSION < 3 && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT)
  if (__Pyx_init_sys_getdefaultencoding_params() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  if (__pyx_module_is_main_gnocis__models) {
    if (PyObject_SetAttr(__pyx_m, __pyx_n_s_name, __pyx_n_s_main) < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  }
  #if PY_MAJOR_VERSION >= 3
  {
    PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) __PYX_ERR(0, 1, __pyx_L1_error)
    if (!PyDict_GetItemString(modules, "gnocis.models")) {
      if (unlikely(PyDict_SetItemString(modules, "gnocis.models", __pyx_m) < 0)) __PYX_ERR(0, 1, __pyx_L1_error)
    }
  }
  #endif
  /*--- Builtin init code ---*/
  if (__Pyx_InitCachedBuiltins() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  /*--- Constants init code ---*/
  if (__Pyx_InitCachedConstants() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  /*--- Global type/function init code ---*/
  (void)__Pyx_modinit_global_init_code();
  (void)__Pyx_modinit_variable_export_code();
  (void)__Pyx_modinit_function_export_code();
  if (unlikely(__Pyx_modinit_type_init_code() != 0)) goto __pyx_L1_error;
  if (unlikely(__Pyx_modinit_type_import_code() != 0)) goto __pyx_L1_error;
  (void)__Pyx_modinit_variable_import_code();
  if (unlikely(__Pyx_modinit_function_import_code() != 0)) goto __pyx_L1_error;
  /*--- Execution code ---*/
  #if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)
  if (__Pyx_patch_abc() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif

  /* "gnocis/models.pyx":10
 * 
 * from __future__ import division
 * import random             # <<<<<<<<<<<<<<
 * from libcpp cimport bool
 * from libc.stdlib cimport malloc, free
 */
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_random, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 10, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_random, __pyx_t_1) < 0) __PYX_ERR(0, 10, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":14
 * from libc.stdlib cimport malloc, free
 * from libc.string cimport memcpy
 * import multiprocessing as mp             # <<<<<<<<<<<<<<
 * import math
 * from .features cimport *
 */
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_multiprocessing, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 14, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_mp, __pyx_t_1) < 0) __PYX_ERR(0, 14, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":15
 * from libc.string cimport memcpy
 * import multiprocessing as mp
 * import math             # <<<<<<<<<<<<<<
 * from .features cimport *
 * from .validation cimport *
 */
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_math, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_math, __pyx_t_1) < 0) __PYX_ERR(0, 15, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":18
 * from .features cimport *
 * from .validation cimport *
 * from .validation import getConfusionMatrix, getConfusionMatrixStatistics, getROC, getPRC, getAUC, printValidationStatistics             # <<<<<<<<<<<<<<
 * from .sequences import streamSequenceWindows
 * 
 */
  __pyx_t_1 = PyList_New(6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(__pyx_n_s_getConfusionMatrix);
  __Pyx_GIVEREF(__pyx_n_s_getConfusionMatrix);
  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_getConfusionMatrix);
  __Pyx_INCREF(__pyx_n_s_getConfusionMatrixStatistics);
  __Pyx_GIVEREF(__pyx_n_s_getConfusionMatrixStatistics);
  PyList_SET_ITEM(__pyx_t_1, 1, __pyx_n_s_getConfusionMatrixStatistics);
  __Pyx_INCREF(__pyx_n_s_getROC);
  __Pyx_GIVEREF(__pyx_n_s_getROC);
  PyList_SET_ITEM(__pyx_t_1, 2, __pyx_n_s_getROC);
  __Pyx_INCREF(__pyx_n_s_getPRC);
  __Pyx_GIVEREF(__pyx_n_s_getPRC);
  PyList_SET_ITEM(__pyx_t_1, 3, __pyx_n_s_getPRC);
  __Pyx_INCREF(__pyx_n_s_getAUC);
  __Pyx_GIVEREF(__pyx_n_s_getAUC);
  PyList_SET_ITEM(__pyx_t_1, 4, __pyx_n_s_getAUC);
  __Pyx_INCREF(__pyx_n_s_printValidationStatistics);
  __Pyx_GIVEREF(__pyx_n_s_printValidationStatistics);
  PyList_SET_ITEM(__pyx_t_1, 5, __pyx_n_s_printValidationStatistics);
  __pyx_t_2 = __Pyx_Import(__pyx_n_s_validation, __pyx_t_1, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_getConfusionMatrix); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getConfusionMatrix, __pyx_t_1) < 0) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_getConfusionMatrixStatistics); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getConfusionMatrixStatistics, __pyx_t_1) < 0) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_getROC); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getROC, __pyx_t_1) < 0) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_getPRC); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getPRC, __pyx_t_1) < 0) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_getAUC); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getAUC, __pyx_t_1) < 0) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_printValidationStatistics); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_printValidationStatistics, __pyx_t_1) < 0) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":19
 * from .validation cimport *
 * from .validation import getConfusionMatrix, getConfusionMatrixStatistics, getROC, getPRC, getAUC, printValidationStatistics
 * from .sequences import streamSequenceWindows             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 19, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(__pyx_n_s_streamSequenceWindows);
  __Pyx_GIVEREF(__pyx_n_s_streamSequenceWindows);
  PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_streamSequenceWindows);
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_sequences, __pyx_t_2, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 19, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_streamSequenceWindows); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 19, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_streamSequenceWindows, __pyx_t_2) < 0) __PYX_ERR(0, 19, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":25
 * # Multiprocessing
 * 
 * nCoresUse = 1             # <<<<<<<<<<<<<<
 * multiprocessingPool = None
 * nTreadFetch = 100000
 */
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_nCoresUse, __pyx_int_1) < 0) __PYX_ERR(0, 25, __pyx_L1_error)

  /* "gnocis/models.pyx":26
 * 
 * nCoresUse = 1
 * multiprocessingPool = None             # <<<<<<<<<<<<<<
 * nTreadFetch = 100000
 * maxThreadFetchNT = nTreadFetch * 1000
 */
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_multiprocessingPool, Py_None) < 0) __PYX_ERR(0, 26, __pyx_L1_error)

  /* "gnocis/models.pyx":27
 * nCoresUse = 1
 * multiprocessingPool = None
 * nTreadFetch = 100000             # <<<<<<<<<<<<<<
 * maxThreadFetchNT = nTreadFetch * 1000
 * 
 */
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_nTreadFetch, __pyx_int_100000) < 0) __PYX_ERR(0, 27, __pyx_L1_error)

  /* "gnocis/models.pyx":28
 * multiprocessingPool = None
 * nTreadFetch = 100000
 * maxThreadFetchNT = nTreadFetch * 1000             # <<<<<<<<<<<<<<
 * 
 * # Used for applying models in separate processes
 */
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_nTreadFetch); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 28, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyNumber_Multiply(__pyx_t_1, __pyx_int_1000); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 28, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_maxThreadFetchNT, __pyx_t_2) < 0) __PYX_ERR(0, 28, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":31
 * 
 * # Used for applying models in separate processes
 * def multiprocessModelDeployer(args):             # <<<<<<<<<<<<<<
 * 	cdef sequences seqs
 * 	cdef sequence seq, win
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_1multiprocessModelDeployer, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 31, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_multiprocessModelDeployer, __pyx_t_2) < 0) __PYX_ERR(0, 31, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":52
 * 	]
 * 
 * def initializePoolProcess(arg):             # <<<<<<<<<<<<<<
 * 	global processID, model
 * 	processID, model = None, None
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_3initializePoolProcess, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 52, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_initializePoolProcess, __pyx_t_2) < 0) __PYX_ERR(0, 52, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":56
 * 	processID, model = None, None
 * 
 * def setPoolProcessID(newID):             # <<<<<<<<<<<<<<
 * 	global processID
 * 	processID = newID
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_5setPoolProcessID, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 56, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_setPoolProcessID, __pyx_t_2) < 0) __PYX_ERR(0, 56, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":61
 * 	return True
 * 
 * def getPoolProcessID(arg):             # <<<<<<<<<<<<<<
 * 	global processID
 * 	return processID
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_7getPoolProcessID, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 61, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getPoolProcessID, __pyx_t_2) < 0) __PYX_ERR(0, 61, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":65
 * 	return processID
 * 
 * def getPoolProcessModelID(arg):             # <<<<<<<<<<<<<<
 * 	global processID, model
 * 	if model == None:
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_9getPoolProcessModelID, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 65, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getPoolProcessModelID, __pyx_t_2) < 0) __PYX_ERR(0, 65, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":71
 * 	return processID, '%d %s'%(model.modelID, str(model))
 * 
 * def initializePoolProcessIDs(pool):             # <<<<<<<<<<<<<<
 * 	while True:
 * 		pool.map( setPoolProcessID, list(range(len(pool._pool))) )
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_11initializePoolProcessIDs, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 71, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_initializePoolProcessIDs, __pyx_t_2) < 0) __PYX_ERR(0, 71, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":78
 * 			break
 * 
 * def getPoolProcessIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	while True:
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_13getPoolProcessIDs, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 78, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getPoolProcessIDs, __pyx_t_2) < 0) __PYX_ERR(0, 78, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":85
 * 			return pIDs
 * 
 * def getPoolModelIDs(pool):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	mIDs = set()
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_15getPoolModelIDs, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 85, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getPoolModelIDs, __pyx_t_2) < 0) __PYX_ERR(0, 85, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":95
 * 			return mIDs
 * 
 * def setPoolProcessModel(mdl):             # <<<<<<<<<<<<<<
 * 	global model
 * 	model = mdl
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_17setPoolProcessModel, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 95, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_setPoolProcessModel, __pyx_t_2) < 0) __PYX_ERR(0, 95, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":100
 * 	return True
 * 
 * def getPoolProcessHasModel(arg):             # <<<<<<<<<<<<<<
 * 	global model, processID
 * 	return (processID, model != None)
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_19getPoolProcessHasModel, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 100, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getPoolProcessHasModel, __pyx_t_2) < 0) __PYX_ERR(0, 100, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":104
 * 	return (processID, model != None)
 * 
 * def setPoolModel(pool, mdl):             # <<<<<<<<<<<<<<
 * 	pIDs = set()
 * 	if mdl == None:
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_21setPoolModel, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 104, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_setPoolModel, __pyx_t_2) < 0) __PYX_ERR(0, 104, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":128
 * 				break
 * 
 * def setNCores(n):             # <<<<<<<<<<<<<<
 * 	"""
 * 	Sets the number of cores to use for multiprocessing.
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_23setNCores, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 128, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_setNCores, __pyx_t_2) < 0) __PYX_ERR(0, 128, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":150
 * # Models
 * 
 * maxModelID = 0             # <<<<<<<<<<<<<<
 * 
 * # Represents sequence models.
 */
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_maxModelID, __pyx_int_0) < 0) __PYX_ERR(0, 150, __pyx_L1_error)

  /* "gnocis/models.pyx":153
 * 
 * # Represents sequence models.
 * class sequenceModel:             # <<<<<<<<<<<<<<
 * 	"""
 * 	The `sequenceModel` class is an abstract class for sequence models. A number of methods are implemented for machine learning and prediction with DNA sequences.
 */
  __pyx_t_2 = __Pyx_Py3MetaclassPrepare((PyObject *) NULL, __pyx_empty_tuple, __pyx_n_s_latin1_sequenceModel, __pyx_n_s_sequenceModel, (PyObject *) NULL, __pyx_n_s_gnocis_models, __pyx_kp_s_The_sequenceModel_class_is_an_a); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 153, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);

  /* "gnocis/models.pyx":159
 * 
 * 	# For pickling (used with multiprocessing)
 * 	def __getstate__(self):             # <<<<<<<<<<<<<<
 * 		return self.__dict__
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_1__getstate__, 0, __pyx_n_s_sequenceModel___getstate, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__32)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 159, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getstate, __pyx_t_1) < 0) __PYX_ERR(0, 159, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":162
 * 		return self.__dict__
 * 
 * 	def __setstate__(self, state):             # <<<<<<<<<<<<<<
 * 		self.__dict__ = state
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_3__setstate__, 0, __pyx_n_s_sequenceModel___setstate, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__34)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 162, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_setstate, __pyx_t_1) < 0) __PYX_ERR(0, 162, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":166
 * 
 * 	# Gets a list of scores for a sequence list or stream. A stream is recommended when the sequence list is large, in order to avoid running out of memory.
 * 	def getSequenceScores(self, seqs):             # <<<<<<<<<<<<<<
 * 		""" Scores a set of sequences, returning the maximum window score for each.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_5getSequenceScores, 0, __pyx_n_s_sequenceModel_getSequenceScores, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__36)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 166, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getSequenceScores, __pyx_t_1) < 0) __PYX_ERR(0, 166, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":217
 * 
 * 	# Gets the threshold that gives optimal accuracy on a pair of lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 * 	def getOptimalAccuracyThreshold(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Gets a threshold value optimized for accuracy to a set of positive and a set of negative sequences.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_7getOptimalAccuracyThreshold, 0, __pyx_n_s_sequenceModel_getOptimalAccuracy_2, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__38)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 217, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getOptimalAccuracyThreshold, __pyx_t_1) < 0) __PYX_ERR(0, 217, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":249
 * 
 * 	# Gets the threshold that gives a desired precision for two lists or streams of sequences. Streams are recommended when the sequence lists are large, in order to avoid running out of memory.
 * 	def getPrecisionThreshold(self, positives, negatives, wantedPrecision):             # <<<<<<<<<<<<<<
 * 		""" Gets a threshold value for a desired precision to a set of positive and a set of negative sequences. Linear interpolation is used in order to achieve a close approximation.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_9getPrecisionThreshold, 0, __pyx_n_s_sequenceModel_getPrecisionThresh_2, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__40)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 249, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getPrecisionThreshold, __pyx_t_1) < 0) __PYX_ERR(0, 249, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":293
 * 
 * 	# Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 	def calibrateGenomewidePrecision(self, positives, genome, factor = 1.0, precision = 0.8, bgModelOrder = 4, bgModel = None):             # <<<<<<<<<<<<<<
 * 		""" Calibrates the model threshold for an expected precision genome-wide. Returns self to facilitate chaining of operations. However, this operation does mutate the model object. A scaling factor can be applied to the genome with the 'factor' argument. If, for instance, the positive set has been divided in half for independent training and calibration, a factor of 0.5 can be used.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_11calibrateGenomewidePrecision, 0, __pyx_n_s_sequenceModel_calibrateGenomewid_2, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__42)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 293, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_1, __pyx_tuple__43);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_calibrateGenomewidePrecision, __pyx_t_1) < 0) __PYX_ERR(0, 293, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":331
 * 
 * 	# Applies model to a sequence with a sliding window, and returns the maximum score.
 * 	def scoreSequence(self, seq):             # <<<<<<<<<<<<<<
 * 		""" Scores a single sequence. The score is determined by applying the model with a sliding window, and taking the maximum score.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_13scoreSequence, 0, __pyx_n_s_sequenceModel_scoreSequence, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__45)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 331, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_scoreSequence, __pyx_t_1) < 0) __PYX_ERR(0, 331, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":354
 * 
 * 	# Gets and returns a confusion matrix.
 * 	def getConfusionMatrix(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a confusion matrix for sets of positive and negative sequences.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_15getConfusionMatrix, 0, __pyx_n_s_sequenceModel_getConfusionMatrix, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__47)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 354, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getConfusionMatrix, __pyx_t_1) < 0) __PYX_ERR(0, 354, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":371
 * 
 * 	# Generates a Receiver Operating Characteristic curve.
 * 	def getROC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a Receiver Operating Characteristic (ROC) curve for sets of positive and negative sequences.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_17getROC, 0, __pyx_n_s_sequenceModel_getROC, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__49)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 371, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getROC, __pyx_t_1) < 0) __PYX_ERR(0, 371, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":388
 * 
 * 	# Calculates the area under a Receiver Operating Characteristic curve.
 * 	def getROCAUC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns the area under a Receiver Operating Characteristic (ROCAUC) curve for sets of positive and negative sequences.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_19getROCAUC, 0, __pyx_n_s_sequenceModel_getROCAUC, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__51)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 388, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getROCAUC, __pyx_t_1) < 0) __PYX_ERR(0, 388, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":403
 * 
 * 	# Generates a Precision/Recall curve.
 * 	def getPRC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns a Precision/Recall curve (PRC) for sets of positive and negative sequences.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_21getPRC, 0, __pyx_n_s_sequenceModel_getPRC, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__53)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 403, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getPRC, __pyx_t_1) < 0) __PYX_ERR(0, 403, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":420
 * 
 * 	# Calculates the area under a Precision/Recall Curve.
 * 	def getPRCAUC(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Calculates and returns the area under a Precision/Recall curve (PRCAUC) for sets of positive and negative sequences.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_23getPRCAUC, 0, __pyx_n_s_sequenceModel_getPRCAUC, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__55)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 420, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getPRCAUC, __pyx_t_1) < 0) __PYX_ERR(0, 420, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":435
 * 
 * 	# Returns validation statistics dictionary.
 * 	def getValidationStatistics(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		""" Returns common model validation statistics (confusion matrix values; ROCAUC; PRCAUC).
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_25getValidationStatistics, 0, __pyx_n_s_sequenceModel_getValidationStati, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__57)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 435, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getValidationStatistics, __pyx_t_1) < 0) __PYX_ERR(0, 435, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":458
 * 
 * 	# Returns cross-validation statistics dictionary, with random training set splitting and training and testing on independent halves.
 * 	def getCrossValidationStatisticsRandomHalves(self, positives, negatives, nfolds):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_27getCrossValidationStatisticsRandomHalves, 0, __pyx_n_s_sequenceModel_getCrossValidation_3, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__59)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 458, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getCrossValidationStatisticsRand, __pyx_t_1) < 0) __PYX_ERR(0, 458, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":481
 * 
 * 	# Returns cross-validation statistics dictionary, with leaving each training set sequence out and classifying it.
 * 	def getCrossValidationStatisticsLOO(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		cpos, cneg = positives[:], negatives[:]
 * 		npos, nneg = len(positives), len(negatives)
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_29getCrossValidationStatisticsLOO, 0, __pyx_n_s_sequenceModel_getCrossValidation_4, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__61)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 481, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_getCrossValidationStatisticsLOO, __pyx_t_1) < 0) __PYX_ERR(0, 481, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":524
 * 
 * 	# Predicts regions inside a sequence stream using a sliding window.
 * 	def predictSequenceStreamRegions(self, stream):             # <<<<<<<<<<<<<<
 * 		""" Applies the model using a sliding window across an input sequence stream or sequence set. Windows with a score >= self.threshold are predicted, and predicted windows are merged into non-overlapping predictions.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_31predictSequenceStreamRegions, 0, __pyx_n_s_sequenceModel_predictSequenceStr, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__63)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 524, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_predictSequenceStreamRegions, __pyx_t_1) < 0) __PYX_ERR(0, 524, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":571
 * 
 * 	# Short-hand for predictSequenceStreamRegions.
 * 	def predict(self, stream):             # <<<<<<<<<<<<<<
 * 		""" Applies the model using a sliding window across an input sequence stream or sequence set. Windows with a score >= self.threshold are predicted, and predicted windows are merged into non-overlapping predictions.
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_33predict, 0, __pyx_n_s_sequenceModel_predict, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__65)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 571, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_predict, __pyx_t_1) < 0) __PYX_ERR(0, 571, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":583
 * 
 * 	# Prints out test statistics.
 * 	def printTestStatistics(self, positives, negatives):             # <<<<<<<<<<<<<<
 * 		printValidationStatistics( self.getValidationStatistics(positives, negatives) )
 * 
 */
  __pyx_t_1 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_13sequenceModel_35printTestStatistics, 0, __pyx_n_s_sequenceModel_printTestStatistic, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__67)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 583, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (__Pyx_SetNameInClass(__pyx_t_2, __pyx_n_s_printTestStatistics, __pyx_t_1) < 0) __PYX_ERR(0, 583, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":153
 * 
 * # Represents sequence models.
 * class sequenceModel:             # <<<<<<<<<<<<<<
 * 	"""
 * 	The `sequenceModel` class is an abstract class for sequence models. A number of methods are implemented for machine learning and prediction with DNA sequences.
 */
  __pyx_t_1 = __Pyx_Py3ClassCreate(((PyObject*)&__Pyx_DefaultClassType), __pyx_n_s_latin1_sequenceModel, __pyx_empty_tuple, __pyx_t_2, NULL, 0, 0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 153, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_latin1_sequenceModel, __pyx_t_1) < 0) __PYX_ERR(0, 153, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":587
 * 
 * # Uniformly weighted model
 * class sequenceModelDummy(sequenceModel):             # <<<<<<<<<<<<<<
 * 	"""
 * 	This model takes a feature set, and scores input sequences by summing feature values, without weighting.
 */
  __Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_latin1_sequenceModel); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 587, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 587, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_GIVEREF(__pyx_t_2);
  PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2);
  __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_CalculateMetaclass(NULL, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 587, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = __Pyx_Py3MetaclassPrepare(__pyx_t_2, __pyx_t_1, __pyx_n_s_latin1_sequenceModelDummy, __pyx_n_s_sequenceModelDummy, (PyObject *) NULL, __pyx_n_s_gnocis_models, __pyx_kp_s_This_model_takes_a_feature_set); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 587, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);

  /* "gnocis/models.pyx":600
 * 	"""
 * 
 * 	def __init__(self, features, windowSize, windowStep):             # <<<<<<<<<<<<<<
 * 		self.threshold = 0.0
 * 		self.features = features
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_18sequenceModelDummy_1__init__, 0, __pyx_n_s_sequenceModelDummy___init, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__69)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 600, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_init, __pyx_t_4) < 0) __PYX_ERR(0, 600, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":605
 * 		self.windowSize, self.windowStep = windowSize, windowStep
 * 
 * 	def __str__(self):             # <<<<<<<<<<<<<<
 * 		return 'Dummy model<Features: %s>'%(str(self.features))
 * 
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_18sequenceModelDummy_3__str__, 0, __pyx_n_s_sequenceModelDummy___str, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__71)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 605, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_str, __pyx_t_4) < 0) __PYX_ERR(0, 605, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":608
 * 		return 'Dummy model<Features: %s>'%(str(self.features))
 * 
 * 	def __repr__(self): return self.__str__()             # <<<<<<<<<<<<<<
 * 
 * 	def getCrossValidationConstructor(self):
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_18sequenceModelDummy_5__repr__, 0, __pyx_n_s_sequenceModelDummy___repr, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__73)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 608, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_repr, __pyx_t_4) < 0) __PYX_ERR(0, 608, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":610
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)
 * 
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_18sequenceModelDummy_7getCrossValidationConstructor, 0, __pyx_n_s_sequenceModelDummy_getCrossValid_2, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__75)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 610, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_getCrossValidationConstructor, __pyx_t_4) < 0) __PYX_ERR(0, 610, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":613
 * 		return lambda pos, neg: sequenceModelDummy(self.features, self.windowSize, self.windowStep)
 * 
 * 	def scoreWindow(self, seq):             # <<<<<<<<<<<<<<
 * 		cdef list fv
 * 		cdef float ret, v
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_18sequenceModelDummy_9scoreWindow, 0, __pyx_n_s_sequenceModelDummy_scoreWindow, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__77)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 613, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_scoreWindow, __pyx_t_4) < 0) __PYX_ERR(0, 613, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":587
 * 
 * # Uniformly weighted model
 * class sequenceModelDummy(sequenceModel):             # <<<<<<<<<<<<<<
 * 	"""
 * 	This model takes a feature set, and scores input sequences by summing feature values, without weighting.
 */
  __pyx_t_4 = __Pyx_Py3ClassCreate(__pyx_t_2, __pyx_n_s_latin1_sequenceModelDummy, __pyx_t_1, __pyx_t_3, NULL, 0, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 587, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_latin1_sequenceModelDummy, __pyx_t_4) < 0) __PYX_ERR(0, 587, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "gnocis/models.pyx":623
 * 
 * # Log-odds model
 * class sequenceModelLogOdds(sequenceModel):             # <<<<<<<<<<<<<<
 * 	"""
 * 	Constructs a log-odds model based on an input feature set and binary training set, and scores input sequences by summing log-odds-weighted feature values.
 */
  __Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_latin1_sequenceModel); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 623, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 623, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1);
  __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_CalculateMetaclass(NULL, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 623, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_3 = __Pyx_Py3MetaclassPrepare(__pyx_t_1, __pyx_t_2, __pyx_n_s_latin1_sequenceModelLogOdds, __pyx_n_s_sequenceModelLogOdds, (PyObject *) NULL, __pyx_n_s_gnocis_models, __pyx_kp_s_Constructs_a_log_odds_model_bas); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 623, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);

  /* "gnocis/models.pyx":640
 * 	"""
 * 
 * 	def __init__(self, features, trainingPositives, trainingNegatives, windowSize, windowStep):             # <<<<<<<<<<<<<<
 * 		self.threshold = 0.0
 * 		self.features = features
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_1__init__, 0, __pyx_n_s_sequenceModelLogOdds___init, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__79)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 640, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_init, __pyx_t_4) < 0) __PYX_ERR(0, 640, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":657
 * 			self.sortedweights.append(weight)
 * 
 * 	def __str__(self):             # <<<<<<<<<<<<<<
 * 		return 'Log-odds model<Features: %s; Positives: %s; Negatives: %s>'%(str(self.features), str(self.trainingPositives), str(self.trainingNegatives))
 * 
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_3__str__, 0, __pyx_n_s_sequenceModelLogOdds___str, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__81)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 657, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_str, __pyx_t_4) < 0) __PYX_ERR(0, 657, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":660
 * 		return 'Log-odds model<Features: %s; Positives: %s; Negatives: %s>'%(str(self.features), str(self.trainingPositives), str(self.trainingNegatives))
 * 
 * 	def __repr__(self): return self.__str__()             # <<<<<<<<<<<<<<
 * 
 * 	def getCrossValidationConstructor(self):
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_5__repr__, 0, __pyx_n_s_sequenceModelLogOdds___repr, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__83)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 660, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_repr, __pyx_t_4) < 0) __PYX_ERR(0, 660, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":662
 * 	def __repr__(self): return self.__str__()
 * 
 * 	def getCrossValidationConstructor(self):             # <<<<<<<<<<<<<<
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)
 * 
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_7getCrossValidationConstructor, 0, __pyx_n_s_sequenceModelLogOdds_getCrossVal_2, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__85)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 662, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_getCrossValidationConstructor, __pyx_t_4) < 0) __PYX_ERR(0, 662, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":665
 * 		return lambda pos, neg: sequenceModelLogOdds(self.features, pos, neg, self.windowSize, self.windowStep)
 * 
 * 	def scoreWindow(self, seq):             # <<<<<<<<<<<<<<
 * 		cdef list fv, w
 * 		cdef int i
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_6gnocis_6models_20sequenceModelLogOdds_9scoreWindow, 0, __pyx_n_s_sequenceModelLogOdds_scoreWindow, NULL, __pyx_n_s_gnocis_models, __pyx_d, ((PyObject *)__pyx_codeobj__87)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 665, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_scoreWindow, __pyx_t_4) < 0) __PYX_ERR(0, 665, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "gnocis/models.pyx":623
 * 
 * # Log-odds model
 * class sequenceModelLogOdds(sequenceModel):             # <<<<<<<<<<<<<<
 * 	"""
 * 	Constructs a log-odds model based on an input feature set and binary training set, and scores input sequences by summing log-odds-weighted feature values.
 */
  __pyx_t_4 = __Pyx_Py3ClassCreate(__pyx_t_1, __pyx_n_s_latin1_sequenceModelLogOdds, __pyx_t_2, __pyx_t_3, NULL, 0, 0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 623, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_latin1_sequenceModelLogOdds, __pyx_t_4) < 0) __PYX_ERR(0, 623, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":676
 * 
 * # Trains a singular-motif PREdictor model with a given set of motifs and positive and negative training sequences.
 * def trainSinglePREdictorModel(motifs, positives, negatives, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelLogOdds(features.getMotifSpectrum(motifs), positives, negatives, windowSize, windowStep)
 * 
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_25trainSinglePREdictorModel, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 676, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_trainSinglePREdictorModel, __pyx_t_2) < 0) __PYX_ERR(0, 676, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":680
 * 
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 * def createDummyPREdictorModel(motifs, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelDummy(features.getPREdictorMotifPairSpectrum(motifs, 219), windowSize, windowStep)
 * 
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_27createDummyPREdictorModel, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 680, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_createDummyPREdictorModel, __pyx_t_2) < 0) __PYX_ERR(0, 680, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":684
 * 
 * # Trains a PREdictor model with a given set of motifs and positive and negative training sequences.
 * def trainPREdictorModel(motifs, positives, negatives, windowSize=500, windowStep=10):             # <<<<<<<<<<<<<<
 * 	return sequenceModelLogOdds(features.getPREdictorMotifPairSpectrum(motifs, 219), positives, negatives, windowSize, windowStep)
 * 
 */
  __pyx_t_2 = PyCFunction_NewEx(&__pyx_mdef_6gnocis_6models_29trainPREdictorModel, NULL, __pyx_n_s_gnocis_models); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 684, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_trainPREdictorModel, __pyx_t_2) < 0) __PYX_ERR(0, 684, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "gnocis/models.pyx":1
 * # distutils: language=c++             # <<<<<<<<<<<<<<
 * # -*- coding: latin-1 -*-
 * ############################################################################
 */
  __pyx_t_2 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_2) < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /*--- Wrapped vars code ---*/

  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  if (__pyx_m) {
    if (__pyx_d) {
      __Pyx_AddTraceback("init gnocis.models", __pyx_clineno, __pyx_lineno, __pyx_filename);
    }
    Py_CLEAR(__pyx_m);
  } else if (!PyErr_Occurred()) {
    PyErr_SetString(PyExc_ImportError, "init gnocis.models");
  }
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  return (__pyx_m != NULL) ? 0 : -1;
  #elif PY_MAJOR_VERSION >= 3
  return __pyx_m;
  #else
  return;
  #endif
}

/* --- Runtime support code --- */
/* Refnanny */
#if CYTHON_REFNANNY
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
    PyObject *m = NULL, *p = NULL;
    void *r = NULL;
    m = PyImport_ImportModule(modname);
    if (!m) goto end;
    p = PyObject_GetAttrString(m, "RefNannyAPI");
    if (!p) goto end;
    r = PyLong_AsVoidPtr(p);
end:
    Py_XDECREF(p);
    Py_XDECREF(m);
    return (__Pyx_RefNannyAPIStruct *)r;
}
#endif

/* PyObjectGetAttrStr */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {
    PyTypeObject* tp = Py_TYPE(obj);
    if (likely(tp->tp_getattro))
        return tp->tp_getattro(obj, attr_name);
#if PY_MAJOR_VERSION < 3
    if (likely(tp->tp_getattr))
        return tp->tp_getattr(obj, PyString_AS_STRING(attr_name));
#endif
    return PyObject_GetAttr(obj, attr_name);
}
#endif

/* GetBuiltinName */
static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
    PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);
    if (unlikely(!result)) {
        PyErr_Format(PyExc_NameError,
#if PY_MAJOR_VERSION >= 3
            "name '%U' is not defined", name);
#else
            "name '%.200s' is not defined", PyString_AS_STRING(name));
#endif
    }
    return result;
}

/* None */
static CYTHON_INLINE void __Pyx_RaiseClosureNameError(const char *varname) {
    PyErr_Format(PyExc_NameError, "free variable '%s' referenced before assignment in enclosing scope", varname);
}

/* PyFunctionFastCall */
#if CYTHON_FAST_PYCALL
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
                                               PyObject *globals) {
    PyFrameObject *f;
    PyThreadState *tstate = __Pyx_PyThreadState_Current;
    PyObject **fastlocals;
    Py_ssize_t i;
    PyObject *result;
    assert(globals != NULL);
    /* XXX Perhaps we should create a specialized
       PyFrame_New() that doesn't take locals, but does
       take builtins without sanity checking them.
       */
    assert(tstate != NULL);
    f = PyFrame_New(tstate, co, globals, NULL);
    if (f == NULL) {
        return NULL;
    }
    fastlocals = __Pyx_PyFrame_GetLocalsplus(f);
    for (i = 0; i < na; i++) {
        Py_INCREF(*args);
        fastlocals[i] = *args++;
    }
    result = PyEval_EvalFrameEx(f,0);
    ++tstate->recursion_depth;
    Py_DECREF(f);
    --tstate->recursion_depth;
    return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) {
    PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
    PyObject *globals = PyFunction_GET_GLOBALS(func);
    PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
    PyObject *closure;
#if PY_MAJOR_VERSION >= 3
    PyObject *kwdefs;
#endif
    PyObject *kwtuple, **k;
    PyObject **d;
    Py_ssize_t nd;
    Py_ssize_t nk;
    PyObject *result;
    assert(kwargs == NULL || PyDict_Check(kwargs));
    nk = kwargs ? PyDict_Size(kwargs) : 0;
    if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
        return NULL;
    }
    if (
#if PY_MAJOR_VERSION >= 3
            co->co_kwonlyargcount == 0 &&
#endif
            likely(kwargs == NULL || nk == 0) &&
            co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
        if (argdefs == NULL && co->co_argcount == nargs) {
            result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
            goto done;
        }
        else if (nargs == 0 && argdefs != NULL
                 && co->co_argcount == Py_SIZE(argdefs)) {
            /* function called with no arguments, but all parameters have
               a default value: use default values as arguments .*/
            args = &PyTuple_GET_ITEM(argdefs, 0);
            result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
            goto done;
        }
    }
    if (kwargs != NULL) {
        Py_ssize_t pos, i;
        kwtuple = PyTuple_New(2 * nk);
        if (kwtuple == NULL) {
            result = NULL;
            goto done;
        }
        k = &PyTuple_GET_ITEM(kwtuple, 0);
        pos = i = 0;
        while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
            Py_INCREF(k[i]);
            Py_INCREF(k[i+1]);
            i += 2;
        }
        nk = i / 2;
    }
    else {
        kwtuple = NULL;
        k = NULL;
    }
    closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
    kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
    if (argdefs != NULL) {
        d = &PyTuple_GET_ITEM(argdefs, 0);
        nd = Py_SIZE(argdefs);
    }
    else {
        d = NULL;
        nd = 0;
    }
#if PY_MAJOR_VERSION >= 3
    result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
                               args, nargs,
                               k, (int)nk,
                               d, (int)nd, kwdefs, closure);
#else
    result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
                               args, nargs,
                               k, (int)nk,
                               d, (int)nd, closure);
#endif
    Py_XDECREF(kwtuple);
done:
    Py_LeaveRecursiveCall();
    return result;
}
#endif
#endif

/* PyCFunctionFastCall */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
    PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
    PyCFunction meth = PyCFunction_GET_FUNCTION(func);
    PyObject *self = PyCFunction_GET_SELF(func);
    int flags = PyCFunction_GET_FLAGS(func);
    assert(PyCFunction_Check(func));
    assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS | METH_STACKLESS)));
    assert(nargs >= 0);
    assert(nargs == 0 || args != NULL);
    /* _PyCFunction_FastCallDict() must not be called with an exception set,
       because it may clear it (directly or indirectly) and so the
       caller loses its exception */
    assert(!PyErr_Occurred());
    if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
        return (*((__Pyx_PyCFunctionFastWithKeywords)(void*)meth)) (self, args, nargs, NULL);
    } else {
        return (*((__Pyx_PyCFunctionFast)(void*)meth)) (self, args, nargs);
    }
}
#endif

/* PyObjectCall */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
    PyObject *result;
    ternaryfunc call = func->ob_type->tp_call;
    if (unlikely(!call))
        return PyObject_Call(func, arg, kw);
    if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
        return NULL;
    result = (*call)(func, arg, kw);
    Py_LeaveRecursiveCall();
    if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
        PyErr_SetString(
            PyExc_SystemError,
            "NULL result without error in PyObject_Call");
    }
    return result;
}
#endif

/* PyDictVersioning */
#if CYTHON_USE_DICT_VERSIONS && CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PY_UINT64_T __Pyx_get_tp_dict_version(PyObject *obj) {
    PyObject *dict = Py_TYPE(obj)->tp_dict;
    return likely(dict) ? __PYX_GET_DICT_VERSION(dict) : 0;
}
static CYTHON_INLINE PY_UINT64_T __Pyx_get_object_dict_version(PyObject *obj) {
    PyObject **dictptr = NULL;
    Py_ssize_t offset = Py_TYPE(obj)->tp_dictoffset;
    if (offset) {
#if CYTHON_COMPILING_IN_CPYTHON
        dictptr = (likely(offset > 0)) ? (PyObject **) ((char *)obj + offset) : _PyObject_GetDictPtr(obj);
#else
        dictptr = _PyObject_GetDictPtr(obj);
#endif
    }
    return (dictptr && *dictptr) ? __PYX_GET_DICT_VERSION(*dictptr) : 0;
}
static CYTHON_INLINE int __Pyx_object_dict_version_matches(PyObject* obj, PY_UINT64_T tp_dict_version, PY_UINT64_T obj_dict_version) {
    PyObject *dict = Py_TYPE(obj)->tp_dict;
    if (unlikely(!dict) || unlikely(tp_dict_version != __PYX_GET_DICT_VERSION(dict)))
        return 0;
    return obj_dict_version == __Pyx_get_object_dict_version(obj);
}
#endif

/* GetModuleGlobalName */
#if CYTHON_USE_DICT_VERSIONS
static PyObject *__Pyx__GetModuleGlobalName(PyObject *name, PY_UINT64_T *dict_version, PyObject **dict_cached_value)
#else
static CYTHON_INLINE PyObject *__Pyx__GetModuleGlobalName(PyObject *name)
#endif
{
    PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
    result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
    if (likely(result)) {
        return __Pyx_NewRef(result);
    } else if (unlikely(PyErr_Occurred())) {
        return NULL;
    }
#else
    result = PyDict_GetItem(__pyx_d, name);
    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
    if (likely(result)) {
        return __Pyx_NewRef(result);
    }
#endif
#else
    result = PyObject_GetItem(__pyx_d, name);
    __PYX_UPDATE_DICT_CACHE(__pyx_d, result, *dict_cached_value, *dict_version)
    if (likely(result)) {
        return __Pyx_NewRef(result);
    }
    PyErr_Clear();
#endif
    return __Pyx_GetBuiltinName(name);
}

/* PyObjectCall2Args */
static CYTHON_UNUSED PyObject* __Pyx_PyObject_Call2Args(PyObject* function, PyObject* arg1, PyObject* arg2) {
    PyObject *args, *result = NULL;
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(function)) {
        PyObject *args[2] = {arg1, arg2};
        return __Pyx_PyFunction_FastCall(function, args, 2);
    }
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(function)) {
        PyObject *args[2] = {arg1, arg2};
        return __Pyx_PyCFunction_FastCall(function, args, 2);
    }
    #endif
    args = PyTuple_New(2);
    if (unlikely(!args)) goto done;
    Py_INCREF(arg1);
    PyTuple_SET_ITEM(args, 0, arg1);
    Py_INCREF(arg2);
    PyTuple_SET_ITEM(args, 1, arg2);
    Py_INCREF(function);
    result = __Pyx_PyObject_Call(function, args, NULL);
    Py_DECREF(args);
    Py_DECREF(function);
done:
    return result;
}

/* PyObjectCallMethO */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
    PyObject *self, *result;
    PyCFunction cfunc;
    cfunc = PyCFunction_GET_FUNCTION(func);
    self = PyCFunction_GET_SELF(func);
    if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
        return NULL;
    result = cfunc(self, arg);
    Py_LeaveRecursiveCall();
    if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
        PyErr_SetString(
            PyExc_SystemError,
            "NULL result without error in PyObject_Call");
    }
    return result;
}
#endif

/* PyObjectCallOneArg */
#if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
    PyObject *result;
    PyObject *args = PyTuple_New(1);
    if (unlikely(!args)) return NULL;
    Py_INCREF(arg);
    PyTuple_SET_ITEM(args, 0, arg);
    result = __Pyx_PyObject_Call(func, args, NULL);
    Py_DECREF(args);
    return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
    if (PyFunction_Check(func)) {
        return __Pyx_PyFunction_FastCall(func, &arg, 1);
    }
#endif
    if (likely(PyCFunction_Check(func))) {
        if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
            return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
        } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
            return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
        }
    }
    return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
    PyObject *result;
    PyObject *args = PyTuple_Pack(1, arg);
    if (unlikely(!args)) return NULL;
    result = __Pyx_PyObject_Call(func, args, NULL);
    Py_DECREF(args);
    return result;
}
#endif

/* ExtTypeTest */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
    if (unlikely(!type)) {
        PyErr_SetString(PyExc_SystemError, "Missing type object");
        return 0;
    }
    if (likely(__Pyx_TypeCheck(obj, type)))
        return 1;
    PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
                 Py_TYPE(obj)->tp_name, type->tp_name);
    return 0;
}

/* PyObjectFormat */
#if CYTHON_USE_UNICODE_WRITER
static PyObject* __Pyx_PyObject_Format(PyObject* obj, PyObject* format_spec) {
    int ret;
    _PyUnicodeWriter writer;
    if (likely(PyFloat_CheckExact(obj))) {
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x03040000
        _PyUnicodeWriter_Init(&writer, 0);
#else
        _PyUnicodeWriter_Init(&writer);
#endif
        ret = _PyFloat_FormatAdvancedWriter(
            &writer,
            obj,
            format_spec, 0, PyUnicode_GET_LENGTH(format_spec));
    } else if (likely(PyLong_CheckExact(obj))) {
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX < 0x03040000
        _PyUnicodeWriter_Init(&writer, 0);
#else
        _PyUnicodeWriter_Init(&writer);
#endif
        ret = _PyLong_FormatAdvancedWriter(
            &writer,
            obj,
            format_spec, 0, PyUnicode_GET_LENGTH(format_spec));
    } else {
        return PyObject_Format(obj, format_spec);
    }
    if (unlikely(ret == -1)) {
        _PyUnicodeWriter_Dealloc(&writer);
        return NULL;
    }
    return _PyUnicodeWriter_Finish(&writer);
}
#endif

/* JoinPyUnicode */
static PyObject* __Pyx_PyUnicode_Join(PyObject* value_tuple, Py_ssize_t value_count, Py_ssize_t result_ulength,
                                      CYTHON_UNUSED Py_UCS4 max_char) {
#if CYTHON_USE_UNICODE_INTERNALS && CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    PyObject *result_uval;
    int result_ukind;
    Py_ssize_t i, char_pos;
    void *result_udata;
#if CYTHON_PEP393_ENABLED
    result_uval = PyUnicode_New(result_ulength, max_char);
    if (unlikely(!result_uval)) return NULL;
    result_ukind = (max_char <= 255) ? PyUnicode_1BYTE_KIND : (max_char <= 65535) ? PyUnicode_2BYTE_KIND : PyUnicode_4BYTE_KIND;
    result_udata = PyUnicode_DATA(result_uval);
#else
    result_uval = PyUnicode_FromUnicode(NULL, result_ulength);
    if (unlikely(!result_uval)) return NULL;
    result_ukind = sizeof(Py_UNICODE);
    result_udata = PyUnicode_AS_UNICODE(result_uval);
#endif
    char_pos = 0;
    for (i=0; i < value_count; i++) {
        int ukind;
        Py_ssize_t ulength;
        void *udata;
        PyObject *uval = PyTuple_GET_ITEM(value_tuple, i);
        if (unlikely(__Pyx_PyUnicode_READY(uval)))
            goto bad;
        ulength = __Pyx_PyUnicode_GET_LENGTH(uval);
        if (unlikely(!ulength))
            continue;
        if (unlikely(char_pos + ulength < 0))
            goto overflow;
        ukind = __Pyx_PyUnicode_KIND(uval);
        udata = __Pyx_PyUnicode_DATA(uval);
        if (!CYTHON_PEP393_ENABLED || ukind == result_ukind) {
            memcpy((char *)result_udata + char_pos * result_ukind, udata, (size_t) (ulength * result_ukind));
        } else {
            #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030300F0 || defined(_PyUnicode_FastCopyCharacters)
            _PyUnicode_FastCopyCharacters(result_uval, char_pos, uval, 0, ulength);
            #else
            Py_ssize_t j;
            for (j=0; j < ulength; j++) {
                Py_UCS4 uchar = __Pyx_PyUnicode_READ(ukind, udata, j);
                __Pyx_PyUnicode_WRITE(result_ukind, result_udata, char_pos+j, uchar);
            }
            #endif
        }
        char_pos += ulength;
    }
    return result_uval;
overflow:
    PyErr_SetString(PyExc_OverflowError, "join() result is too long for a Python string");
bad:
    Py_DECREF(result_uval);
    return NULL;
#else
    result_ulength++;
    value_count++;
    return PyUnicode_Join(__pyx_empty_unicode, value_tuple);
#endif
}

/* RaiseTooManyValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
    PyErr_Format(PyExc_ValueError,
                 "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}

/* RaiseNeedMoreValuesToUnpack */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
    PyErr_Format(PyExc_ValueError,
                 "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
                 index, (index == 1) ? "" : "s");
}

/* IterFinish */
static CYTHON_INLINE int __Pyx_IterFinish(void) {
#if CYTHON_FAST_THREAD_STATE
    PyThreadState *tstate = __Pyx_PyThreadState_Current;
    PyObject* exc_type = tstate->curexc_type;
    if (unlikely(exc_type)) {
        if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) {
            PyObject *exc_value, *exc_tb;
            exc_value = tstate->curexc_value;
            exc_tb = tstate->curexc_traceback;
            tstate->curexc_type = 0;
            tstate->curexc_value = 0;
            tstate->curexc_traceback = 0;
            Py_DECREF(exc_type);
            Py_XDECREF(exc_value);
            Py_XDECREF(exc_tb);
            return 0;
        } else {
            return -1;
        }
    }
    return 0;
#else
    if (unlikely(PyErr_Occurred())) {
        if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
            PyErr_Clear();
            return 0;
        } else {
            return -1;
        }
    }
    return 0;
#endif
}

/* UnpackItemEndCheck */
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
    if (unlikely(retval)) {
        Py_DECREF(retval);
        __Pyx_RaiseTooManyValuesError(expected);
        return -1;
    } else {
        return __Pyx_IterFinish();
    }
    return 0;
}

/* RaiseArgTupleInvalid */
static void __Pyx_RaiseArgtupleInvalid(
    const char* func_name,
    int exact,
    Py_ssize_t num_min,
    Py_ssize_t num_max,
    Py_ssize_t num_found)
{
    Py_ssize_t num_expected;
    const char *more_or_less;
    if (num_found < num_min) {
        num_expected = num_min;
        more_or_less = "at least";
    } else {
        num_expected = num_max;
        more_or_less = "at most";
    }
    if (exact) {
        more_or_less = "exactly";
    }
    PyErr_Format(PyExc_TypeError,
                 "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)",
                 func_name, more_or_less, num_expected,
                 (num_expected == 1) ? "" : "s", num_found);
}

/* RaiseDoubleKeywords */
static void __Pyx_RaiseDoubleKeywordsError(
    const char* func_name,
    PyObject* kw_name)
{
    PyErr_Format(PyExc_TypeError,
        #if PY_MAJOR_VERSION >= 3
        "%s() got multiple values for keyword argument '%U'", func_name, kw_name);
        #else
        "%s() got multiple values for keyword argument '%s'", func_name,
        PyString_AsString(kw_name));
        #endif
}

/* ParseKeywords */
static int __Pyx_ParseOptionalKeywords(
    PyObject *kwds,
    PyObject **argnames[],
    PyObject *kwds2,
    PyObject *values[],
    Py_ssize_t num_pos_args,
    const char* function_name)
{
    PyObject *key = 0, *value = 0;
    Py_ssize_t pos = 0;
    PyObject*** name;
    PyObject*** first_kw_arg = argnames + num_pos_args;
    while (PyDict_Next(kwds, &pos, &key, &value)) {
        name = first_kw_arg;
        while (*name && (**name != key)) name++;
        if (*name) {
            values[name-argnames] = value;
            continue;
        }
        name = first_kw_arg;
        #if PY_MAJOR_VERSION < 3
        if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) {
            while (*name) {
                if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
                        && _PyString_Eq(**name, key)) {
                    values[name-argnames] = value;
                    break;
                }
                name++;
            }
            if (*name) continue;
            else {
                PyObject*** argname = argnames;
                while (argname != first_kw_arg) {
                    if ((**argname == key) || (
                            (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
                             && _PyString_Eq(**argname, key))) {
                        goto arg_passed_twice;
                    }
                    argname++;
                }
            }
        } else
        #endif
        if (likely(PyUnicode_Check(key))) {
            while (*name) {
                int cmp = (**name == key) ? 0 :
                #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
                    (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
                #endif
                    PyUnicode_Compare(**name, key);
                if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
                if (cmp == 0) {
                    values[name-argnames] = value;
                    break;
                }
                name++;
            }
            if (*name) continue;
            else {
                PyObject*** argname = argnames;
                while (argname != first_kw_arg) {
                    int cmp = (**argname == key) ? 0 :
                    #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
                        (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
                    #endif
                        PyUnicode_Compare(**argname, key);
                    if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
                    if (cmp == 0) goto arg_passed_twice;
                    argname++;
                }
            }
        } else
            goto invalid_keyword_type;
        if (kwds2) {
            if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
        } else {
            goto invalid_keyword;
        }
    }
    return 0;
arg_passed_twice:
    __Pyx_RaiseDoubleKeywordsError(function_name, key);
    goto bad;
invalid_keyword_type:
    PyErr_Format(PyExc_TypeError,
        "%.200s() keywords must be strings", function_name);
    goto bad;
invalid_keyword:
    PyErr_Format(PyExc_TypeError,
    #if PY_MAJOR_VERSION < 3
        "%.200s() got an unexpected keyword argument '%.200s'",
        function_name, PyString_AsString(key));
    #else
        "%s() got an unexpected keyword argument '%U'",
        function_name, key);
    #endif
bad:
    return -1;
}

/* PyObjectCallNoArg */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {
#if CYTHON_FAST_PYCALL
    if (PyFunction_Check(func)) {
        return __Pyx_PyFunction_FastCall(func, NULL, 0);
    }
#endif
#ifdef __Pyx_CyFunction_USED
    if (likely(PyCFunction_Check(func) || __Pyx_CyFunction_Check(func)))
#else
    if (likely(PyCFunction_Check(func)))
#endif
    {
        if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {
            return __Pyx_PyObject_CallMethO(func, NULL);
        }
    }
    return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);
}
#endif

/* PyObjectSetAttrStr */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value) {
    PyTypeObject* tp = Py_TYPE(obj);
    if (likely(tp->tp_setattro))
        return tp->tp_setattro(obj, attr_name, value);
#if PY_MAJOR_VERSION < 3
    if (likely(tp->tp_setattr))
        return tp->tp_setattr(obj, PyString_AS_STRING(attr_name), value);
#endif
    return PyObject_SetAttr(obj, attr_name, value);
}
#endif

/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_AddObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
    (void)inplace;
    (void)zerodivision_check;
    #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(op1))) {
        const long b = intval;
        long x;
        long a = PyInt_AS_LONG(op1);
            x = (long)((unsigned long)a + b);
            if (likely((x^a) >= 0 || (x^b) >= 0))
                return PyInt_FromLong(x);
            return PyLong_Type.tp_as_number->nb_add(op1, op2);
    }
    #endif
    #if CYTHON_USE_PYLONG_INTERNALS
    if (likely(PyLong_CheckExact(op1))) {
        const long b = intval;
        long a, x;
#ifdef HAVE_LONG_LONG
        const PY_LONG_LONG llb = intval;
        PY_LONG_LONG lla, llx;
#endif
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        const Py_ssize_t size = Py_SIZE(op1);
        if (likely(__Pyx_sst_abs(size) <= 1)) {
            a = likely(size) ? digits[0] : 0;
            if (size == -1) a = -a;
        } else {
            switch (size) {
                case -2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case 2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case -3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case 3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case -4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case 4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                default: return PyLong_Type.tp_as_number->nb_add(op1, op2);
            }
        }
                x = a + b;
            return PyLong_FromLong(x);
#ifdef HAVE_LONG_LONG
        long_long:
                llx = lla + llb;
            return PyLong_FromLongLong(llx);
#endif
        
        
    }
    #endif
    if (PyFloat_CheckExact(op1)) {
        const long b = intval;
        double a = PyFloat_AS_DOUBLE(op1);
            double result;
            PyFPE_START_PROTECT("add", return NULL)
            result = ((double)a) + (double)b;
            PyFPE_END_PROTECT(result)
            return PyFloat_FromDouble(result);
    }
    return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
}
#endif

/* FetchCommonType */
static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) {
    PyObject* fake_module;
    PyTypeObject* cached_type = NULL;
    fake_module = PyImport_AddModule((char*) "_cython_" CYTHON_ABI);
    if (!fake_module) return NULL;
    Py_INCREF(fake_module);
    cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name);
    if (cached_type) {
        if (!PyType_Check((PyObject*)cached_type)) {
            PyErr_Format(PyExc_TypeError,
                "Shared Cython type %.200s is not a type object",
                type->tp_name);
            goto bad;
        }
        if (cached_type->tp_basicsize != type->tp_basicsize) {
            PyErr_Format(PyExc_TypeError,
                "Shared Cython type %.200s has the wrong size, try recompiling",
                type->tp_name);
            goto bad;
        }
    } else {
        if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad;
        PyErr_Clear();
        if (PyType_Ready(type) < 0) goto bad;
        if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0)
            goto bad;
        Py_INCREF(type);
        cached_type = type;
    }
done:
    Py_DECREF(fake_module);
    return cached_type;
bad:
    Py_XDECREF(cached_type);
    cached_type = NULL;
    goto done;
}

/* CythonFunction */
#include <structmember.h>
static PyObject *
__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure)
{
    if (unlikely(op->func_doc == NULL)) {
        if (op->func.m_ml->ml_doc) {
#if PY_MAJOR_VERSION >= 3
            op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc);
#else
            op->func_doc = PyString_FromString(op->func.m_ml->ml_doc);
#endif
            if (unlikely(op->func_doc == NULL))
                return NULL;
        } else {
            Py_INCREF(Py_None);
            return Py_None;
        }
    }
    Py_INCREF(op->func_doc);
    return op->func_doc;
}
static int
__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)
{
    PyObject *tmp = op->func_doc;
    if (value == NULL) {
        value = Py_None;
    }
    Py_INCREF(value);
    op->func_doc = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)
{
    if (unlikely(op->func_name == NULL)) {
#if PY_MAJOR_VERSION >= 3
        op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name);
#else
        op->func_name = PyString_InternFromString(op->func.m_ml->ml_name);
#endif
        if (unlikely(op->func_name == NULL))
            return NULL;
    }
    Py_INCREF(op->func_name);
    return op->func_name;
}
static int
__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)
{
    PyObject *tmp;
#if PY_MAJOR_VERSION >= 3
    if (unlikely(value == NULL || !PyUnicode_Check(value)))
#else
    if (unlikely(value == NULL || !PyString_Check(value)))
#endif
    {
        PyErr_SetString(PyExc_TypeError,
                        "__name__ must be set to a string object");
        return -1;
    }
    tmp = op->func_name;
    Py_INCREF(value);
    op->func_name = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)
{
    Py_INCREF(op->func_qualname);
    return op->func_qualname;
}
static int
__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)
{
    PyObject *tmp;
#if PY_MAJOR_VERSION >= 3
    if (unlikely(value == NULL || !PyUnicode_Check(value)))
#else
    if (unlikely(value == NULL || !PyString_Check(value)))
#endif
    {
        PyErr_SetString(PyExc_TypeError,
                        "__qualname__ must be set to a string object");
        return -1;
    }
    tmp = op->func_qualname;
    Py_INCREF(value);
    op->func_qualname = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure)
{
    PyObject *self;
    self = m->func_closure;
    if (self == NULL)
        self = Py_None;
    Py_INCREF(self);
    return self;
}
static PyObject *
__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)
{
    if (unlikely(op->func_dict == NULL)) {
        op->func_dict = PyDict_New();
        if (unlikely(op->func_dict == NULL))
            return NULL;
    }
    Py_INCREF(op->func_dict);
    return op->func_dict;
}
static int
__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value, CYTHON_UNUSED void *context)
{
    PyObject *tmp;
    if (unlikely(value == NULL)) {
        PyErr_SetString(PyExc_TypeError,
               "function's dictionary may not be deleted");
        return -1;
    }
    if (unlikely(!PyDict_Check(value))) {
        PyErr_SetString(PyExc_TypeError,
               "setting function's dictionary to a non-dict");
        return -1;
    }
    tmp = op->func_dict;
    Py_INCREF(value);
    op->func_dict = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)
{
    Py_INCREF(op->func_globals);
    return op->func_globals;
}
static PyObject *
__Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)
{
    Py_INCREF(Py_None);
    return Py_None;
}
static PyObject *
__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context)
{
    PyObject* result = (op->func_code) ? op->func_code : Py_None;
    Py_INCREF(result);
    return result;
}
static int
__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) {
    int result = 0;
    PyObject *res = op->defaults_getter((PyObject *) op);
    if (unlikely(!res))
        return -1;
    #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    op->defaults_tuple = PyTuple_GET_ITEM(res, 0);
    Py_INCREF(op->defaults_tuple);
    op->defaults_kwdict = PyTuple_GET_ITEM(res, 1);
    Py_INCREF(op->defaults_kwdict);
    #else
    op->defaults_tuple = PySequence_ITEM(res, 0);
    if (unlikely(!op->defaults_tuple)) result = -1;
    else {
        op->defaults_kwdict = PySequence_ITEM(res, 1);
        if (unlikely(!op->defaults_kwdict)) result = -1;
    }
    #endif
    Py_DECREF(res);
    return result;
}
static int
__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) {
    PyObject* tmp;
    if (!value) {
        value = Py_None;
    } else if (value != Py_None && !PyTuple_Check(value)) {
        PyErr_SetString(PyExc_TypeError,
                        "__defaults__ must be set to a tuple object");
        return -1;
    }
    Py_INCREF(value);
    tmp = op->defaults_tuple;
    op->defaults_tuple = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) {
    PyObject* result = op->defaults_tuple;
    if (unlikely(!result)) {
        if (op->defaults_getter) {
            if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL;
            result = op->defaults_tuple;
        } else {
            result = Py_None;
        }
    }
    Py_INCREF(result);
    return result;
}
static int
__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) {
    PyObject* tmp;
    if (!value) {
        value = Py_None;
    } else if (value != Py_None && !PyDict_Check(value)) {
        PyErr_SetString(PyExc_TypeError,
                        "__kwdefaults__ must be set to a dict object");
        return -1;
    }
    Py_INCREF(value);
    tmp = op->defaults_kwdict;
    op->defaults_kwdict = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) {
    PyObject* result = op->defaults_kwdict;
    if (unlikely(!result)) {
        if (op->defaults_getter) {
            if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL;
            result = op->defaults_kwdict;
        } else {
            result = Py_None;
        }
    }
    Py_INCREF(result);
    return result;
}
static int
__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value, CYTHON_UNUSED void *context) {
    PyObject* tmp;
    if (!value || value == Py_None) {
        value = NULL;
    } else if (!PyDict_Check(value)) {
        PyErr_SetString(PyExc_TypeError,
                        "__annotations__ must be set to a dict object");
        return -1;
    }
    Py_XINCREF(value);
    tmp = op->func_annotations;
    op->func_annotations = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *context) {
    PyObject* result = op->func_annotations;
    if (unlikely(!result)) {
        result = PyDict_New();
        if (unlikely(!result)) return NULL;
        op->func_annotations = result;
    }
    Py_INCREF(result);
    return result;
}
static PyGetSetDef __pyx_CyFunction_getsets[] = {
    {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0},
    {(char *) "__doc__",  (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0},
    {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0},
    {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0},
    {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0},
    {(char *) "__self__", (getter)__Pyx_CyFunction_get_self, 0, 0, 0},
    {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0},
    {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0},
    {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0},
    {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0},
    {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0},
    {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0},
    {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0},
    {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0},
    {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0},
    {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0},
    {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0},
    {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0},
    {0, 0, 0, 0, 0}
};
static PyMemberDef __pyx_CyFunction_members[] = {
    {(char *) "__module__", T_OBJECT, offsetof(PyCFunctionObject, m_module), PY_WRITE_RESTRICTED, 0},
    {0, 0, 0,  0, 0}
};
static PyObject *
__Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args)
{
#if PY_MAJOR_VERSION >= 3
    return PyUnicode_FromString(m->func.m_ml->ml_name);
#else
    return PyString_FromString(m->func.m_ml->ml_name);
#endif
}
static PyMethodDef __pyx_CyFunction_methods[] = {
    {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0},
    {0, 0, 0, 0}
};
#if PY_VERSION_HEX < 0x030500A0
#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist)
#else
#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist)
#endif
static PyObject *__Pyx_CyFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject* qualname,
                                      PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) {
    __pyx_CyFunctionObject *op = PyObject_GC_New(__pyx_CyFunctionObject, type);
    if (op == NULL)
        return NULL;
    op->flags = flags;
    __Pyx_CyFunction_weakreflist(op) = NULL;
    op->func.m_ml = ml;
    op->func.m_self = (PyObject *) op;
    Py_XINCREF(closure);
    op->func_closure = closure;
    Py_XINCREF(module);
    op->func.m_module = module;
    op->func_dict = NULL;
    op->func_name = NULL;
    Py_INCREF(qualname);
    op->func_qualname = qualname;
    op->func_doc = NULL;
    op->func_classobj = NULL;
    op->func_globals = globals;
    Py_INCREF(op->func_globals);
    Py_XINCREF(code);
    op->func_code = code;
    op->defaults_pyobjects = 0;
    op->defaults = NULL;
    op->defaults_tuple = NULL;
    op->defaults_kwdict = NULL;
    op->defaults_getter = NULL;
    op->func_annotations = NULL;
    PyObject_GC_Track(op);
    return (PyObject *) op;
}
static int
__Pyx_CyFunction_clear(__pyx_CyFunctionObject *m)
{
    Py_CLEAR(m->func_closure);
    Py_CLEAR(m->func.m_module);
    Py_CLEAR(m->func_dict);
    Py_CLEAR(m->func_name);
    Py_CLEAR(m->func_qualname);
    Py_CLEAR(m->func_doc);
    Py_CLEAR(m->func_globals);
    Py_CLEAR(m->func_code);
    Py_CLEAR(m->func_classobj);
    Py_CLEAR(m->defaults_tuple);
    Py_CLEAR(m->defaults_kwdict);
    Py_CLEAR(m->func_annotations);
    if (m->defaults) {
        PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m);
        int i;
        for (i = 0; i < m->defaults_pyobjects; i++)
            Py_XDECREF(pydefaults[i]);
        PyObject_Free(m->defaults);
        m->defaults = NULL;
    }
    return 0;
}
static void __Pyx__CyFunction_dealloc(__pyx_CyFunctionObject *m)
{
    if (__Pyx_CyFunction_weakreflist(m) != NULL)
        PyObject_ClearWeakRefs((PyObject *) m);
    __Pyx_CyFunction_clear(m);
    PyObject_GC_Del(m);
}
static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m)
{
    PyObject_GC_UnTrack(m);
    __Pyx__CyFunction_dealloc(m);
}
static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg)
{
    Py_VISIT(m->func_closure);
    Py_VISIT(m->func.m_module);
    Py_VISIT(m->func_dict);
    Py_VISIT(m->func_name);
    Py_VISIT(m->func_qualname);
    Py_VISIT(m->func_doc);
    Py_VISIT(m->func_globals);
    Py_VISIT(m->func_code);
    Py_VISIT(m->func_classobj);
    Py_VISIT(m->defaults_tuple);
    Py_VISIT(m->defaults_kwdict);
    if (m->defaults) {
        PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m);
        int i;
        for (i = 0; i < m->defaults_pyobjects; i++)
            Py_VISIT(pydefaults[i]);
    }
    return 0;
}
static PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type)
{
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) {
        Py_INCREF(func);
        return func;
    }
    if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) {
        if (type == NULL)
            type = (PyObject *)(Py_TYPE(obj));
        return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type)));
    }
    if (obj == Py_None)
        obj = NULL;
    return __Pyx_PyMethod_New(func, obj, type);
}
static PyObject*
__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op)
{
#if PY_MAJOR_VERSION >= 3
    return PyUnicode_FromFormat("<cyfunction %U at %p>",
                                op->func_qualname, (void *)op);
#else
    return PyString_FromFormat("<cyfunction %s at %p>",
                               PyString_AsString(op->func_qualname), (void *)op);
#endif
}
static PyObject * __Pyx_CyFunction_CallMethod(PyObject *func, PyObject *self, PyObject *arg, PyObject *kw) {
    PyCFunctionObject* f = (PyCFunctionObject*)func;
    PyCFunction meth = f->m_ml->ml_meth;
    Py_ssize_t size;
    switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) {
    case METH_VARARGS:
        if (likely(kw == NULL || PyDict_Size(kw) == 0))
            return (*meth)(self, arg);
        break;
    case METH_VARARGS | METH_KEYWORDS:
        return (*(PyCFunctionWithKeywords)(void*)meth)(self, arg, kw);
    case METH_NOARGS:
        if (likely(kw == NULL || PyDict_Size(kw) == 0)) {
            size = PyTuple_GET_SIZE(arg);
            if (likely(size == 0))
                return (*meth)(self, NULL);
            PyErr_Format(PyExc_TypeError,
                "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)",
                f->m_ml->ml_name, size);
            return NULL;
        }
        break;
    case METH_O:
        if (likely(kw == NULL || PyDict_Size(kw) == 0)) {
            size = PyTuple_GET_SIZE(arg);
            if (likely(size == 1)) {
                PyObject *result, *arg0;
                #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
                arg0 = PyTuple_GET_ITEM(arg, 0);
                #else
                arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL;
                #endif
                result = (*meth)(self, arg0);
                #if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS)
                Py_DECREF(arg0);
                #endif
                return result;
            }
            PyErr_Format(PyExc_TypeError,
                "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)",
                f->m_ml->ml_name, size);
            return NULL;
        }
        break;
    default:
        PyErr_SetString(PyExc_SystemError, "Bad call flags in "
                        "__Pyx_CyFunction_Call. METH_OLDARGS is no "
                        "longer supported!");
        return NULL;
    }
    PyErr_Format(PyExc_TypeError, "%.200s() takes no keyword arguments",
                 f->m_ml->ml_name);
    return NULL;
}
static CYTHON_INLINE PyObject *__Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) {
    return __Pyx_CyFunction_CallMethod(func, ((PyCFunctionObject*)func)->m_self, arg, kw);
}
static PyObject *__Pyx_CyFunction_CallAsMethod(PyObject *func, PyObject *args, PyObject *kw) {
    PyObject *result;
    __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func;
    if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) {
        Py_ssize_t argc;
        PyObject *new_args;
        PyObject *self;
        argc = PyTuple_GET_SIZE(args);
        new_args = PyTuple_GetSlice(args, 1, argc);
        if (unlikely(!new_args))
            return NULL;
        self = PyTuple_GetItem(args, 0);
        if (unlikely(!self)) {
            Py_DECREF(new_args);
            return NULL;
        }
        result = __Pyx_CyFunction_CallMethod(func, self, new_args, kw);
        Py_DECREF(new_args);
    } else {
        result = __Pyx_CyFunction_Call(func, args, kw);
    }
    return result;
}
static PyTypeObject __pyx_CyFunctionType_type = {
    PyVarObject_HEAD_INIT(0, 0)
    "cython_function_or_method",
    sizeof(__pyx_CyFunctionObject),
    0,
    (destructor) __Pyx_CyFunction_dealloc,
    0,
    0,
    0,
#if PY_MAJOR_VERSION < 3
    0,
#else
    0,
#endif
    (reprfunc) __Pyx_CyFunction_repr,
    0,
    0,
    0,
    0,
    __Pyx_CyFunction_CallAsMethod,
    0,
    0,
    0,
    0,
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,
    0,
    (traverseproc) __Pyx_CyFunction_traverse,
    (inquiry) __Pyx_CyFunction_clear,
    0,
#if PY_VERSION_HEX < 0x030500A0
    offsetof(__pyx_CyFunctionObject, func_weakreflist),
#else
    offsetof(PyCFunctionObject, m_weakreflist),
#endif
    0,
    0,
    __pyx_CyFunction_methods,
    __pyx_CyFunction_members,
    __pyx_CyFunction_getsets,
    0,
    0,
    __Pyx_CyFunction_descr_get,
    0,
    offsetof(__pyx_CyFunctionObject, func_dict),
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
#if PY_VERSION_HEX >= 0x030400a1
    0,
#endif
};
static int __pyx_CyFunction_init(void) {
    __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type);
    if (unlikely(__pyx_CyFunctionType == NULL)) {
        return -1;
    }
    return 0;
}
static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->defaults = PyObject_Malloc(size);
    if (unlikely(!m->defaults))
        return PyErr_NoMemory();
    memset(m->defaults, 0, size);
    m->defaults_pyobjects = pyobjects;
    return m->defaults;
}
static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->defaults_tuple = tuple;
    Py_INCREF(tuple);
}
static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->defaults_kwdict = dict;
    Py_INCREF(dict);
}
static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->func_annotations = dict;
    Py_INCREF(dict);
}

/* pyobject_as_double */
static double __Pyx__PyObject_AsDouble(PyObject* obj) {
    PyObject* float_value;
#if !CYTHON_USE_TYPE_SLOTS
    float_value = PyNumber_Float(obj);  if ((0)) goto bad;
#else
    PyNumberMethods *nb = Py_TYPE(obj)->tp_as_number;
    if (likely(nb) && likely(nb->nb_float)) {
        float_value = nb->nb_float(obj);
        if (likely(float_value) && unlikely(!PyFloat_Check(float_value))) {
            PyErr_Format(PyExc_TypeError,
                "__float__ returned non-float (type %.200s)",
                Py_TYPE(float_value)->tp_name);
            Py_DECREF(float_value);
            goto bad;
        }
    } else if (PyUnicode_CheckExact(obj) || PyBytes_CheckExact(obj)) {
#if PY_MAJOR_VERSION >= 3
        float_value = PyFloat_FromString(obj);
#else
        float_value = PyFloat_FromString(obj, 0);
#endif
    } else {
        PyObject* args = PyTuple_New(1);
        if (unlikely(!args)) goto bad;
        PyTuple_SET_ITEM(args, 0, obj);
        float_value = PyObject_Call((PyObject*)&PyFloat_Type, args, 0);
        PyTuple_SET_ITEM(args, 0, 0);
        Py_DECREF(args);
    }
#endif
    if (likely(float_value)) {
        double value = PyFloat_AS_DOUBLE(float_value);
        Py_DECREF(float_value);
        return value;
    }
bad:
    return (double)-1;
}

/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_SubtractObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
    (void)inplace;
    (void)zerodivision_check;
    #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(op1))) {
        const long b = intval;
        long x;
        long a = PyInt_AS_LONG(op1);
            x = (long)((unsigned long)a - b);
            if (likely((x^a) >= 0 || (x^~b) >= 0))
                return PyInt_FromLong(x);
            return PyLong_Type.tp_as_number->nb_subtract(op1, op2);
    }
    #endif
    #if CYTHON_USE_PYLONG_INTERNALS
    if (likely(PyLong_CheckExact(op1))) {
        const long b = intval;
        long a, x;
#ifdef HAVE_LONG_LONG
        const PY_LONG_LONG llb = intval;
        PY_LONG_LONG lla, llx;
#endif
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        const Py_ssize_t size = Py_SIZE(op1);
        if (likely(__Pyx_sst_abs(size) <= 1)) {
            a = likely(size) ? digits[0] : 0;
            if (size == -1) a = -a;
        } else {
            switch (size) {
                case -2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case 2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 2 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case -3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case 3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 3 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((((unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case -4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                        lla = -(PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                case 4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
#ifdef HAVE_LONG_LONG
                    } else if (8 * sizeof(PY_LONG_LONG) - 1 > 4 * PyLong_SHIFT) {
                        lla = (PY_LONG_LONG) (((((((((unsigned PY_LONG_LONG)digits[3]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[2]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[1]) << PyLong_SHIFT) | (unsigned PY_LONG_LONG)digits[0]));
                        goto long_long;
#endif
                    }
                    CYTHON_FALLTHROUGH;
                default: return PyLong_Type.tp_as_number->nb_subtract(op1, op2);
            }
        }
                x = a - b;
            return PyLong_FromLong(x);
#ifdef HAVE_LONG_LONG
        long_long:
                llx = lla - llb;
            return PyLong_FromLongLong(llx);
#endif
        
        
    }
    #endif
    if (PyFloat_CheckExact(op1)) {
        const long b = intval;
        double a = PyFloat_AS_DOUBLE(op1);
            double result;
            PyFPE_START_PROTECT("subtract", return NULL)
            result = ((double)a) - (double)b;
            PyFPE_END_PROTECT(result)
            return PyFloat_FromDouble(result);
    }
    return (inplace ? PyNumber_InPlaceSubtract : PyNumber_Subtract)(op1, op2);
}
#endif

/* PyObjectGetMethod */
static int __Pyx_PyObject_GetMethod(PyObject *obj, PyObject *name, PyObject **method) {
    PyObject *attr;
#if CYTHON_UNPACK_METHODS && CYTHON_COMPILING_IN_CPYTHON && CYTHON_USE_PYTYPE_LOOKUP
    PyTypeObject *tp = Py_TYPE(obj);
    PyObject *descr;
    descrgetfunc f = NULL;
    PyObject **dictptr, *dict;
    int meth_found = 0;
    assert (*method == NULL);
    if (unlikely(tp->tp_getattro != PyObject_GenericGetAttr)) {
        attr = __Pyx_PyObject_GetAttrStr(obj, name);
        goto try_unpack;
    }
    if (unlikely(tp->tp_dict == NULL) && unlikely(PyType_Ready(tp) < 0)) {
        return 0;
    }
    descr = _PyType_Lookup(tp, name);
    if (likely(descr != NULL)) {
        Py_INCREF(descr);
#if PY_MAJOR_VERSION >= 3
        #ifdef __Pyx_CyFunction_USED
        if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type) || __Pyx_CyFunction_Check(descr)))
        #else
        if (likely(PyFunction_Check(descr) || (Py_TYPE(descr) == &PyMethodDescr_Type)))
        #endif
#else
        #ifdef __Pyx_CyFunction_USED
        if (likely(PyFunction_Check(descr) || __Pyx_CyFunction_Check(descr)))
        #else
        if (likely(PyFunction_Check(descr)))
        #endif
#endif
        {
            meth_found = 1;
        } else {
            f = Py_TYPE(descr)->tp_descr_get;
            if (f != NULL && PyDescr_IsData(descr)) {
                attr = f(descr, obj, (PyObject *)Py_TYPE(obj));
                Py_DECREF(descr);
                goto try_unpack;
            }
        }
    }
    dictptr = _PyObject_GetDictPtr(obj);
    if (dictptr != NULL && (dict = *dictptr) != NULL) {
        Py_INCREF(dict);
        attr = __Pyx_PyDict_GetItemStr(dict, name);
        if (attr != NULL) {
            Py_INCREF(attr);
            Py_DECREF(dict);
            Py_XDECREF(descr);
            goto try_unpack;
        }
        Py_DECREF(dict);
    }
    if (meth_found) {
        *method = descr;
        return 1;
    }
    if (f != NULL) {
        attr = f(descr, obj, (PyObject *)Py_TYPE(obj));
        Py_DECREF(descr);
        goto try_unpack;
    }
    if (descr != NULL) {
        *method = descr;
        return 0;
    }
    PyErr_Format(PyExc_AttributeError,
#if PY_MAJOR_VERSION >= 3
                 "'%.50s' object has no attribute '%U'",
                 tp->tp_name, name);
#else
                 "'%.50s' object has no attribute '%.400s'",
                 tp->tp_name, PyString_AS_STRING(name));
#endif
    return 0;
#else
    attr = __Pyx_PyObject_GetAttrStr(obj, name);
    goto try_unpack;
#endif
try_unpack:
#if CYTHON_UNPACK_METHODS
    if (likely(attr) && PyMethod_Check(attr) && likely(PyMethod_GET_SELF(attr) == obj)) {
        PyObject *function = PyMethod_GET_FUNCTION(attr);
        Py_INCREF(function);
        Py_DECREF(attr);
        *method = function;
        return 1;
    }
#endif
    *method = attr;
    return 0;
}

/* PyObjectCallMethod0 */
static PyObject* __Pyx_PyObject_CallMethod0(PyObject* obj, PyObject* method_name) {
    PyObject *method = NULL, *result = NULL;
    int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method);
    if (likely(is_method)) {
        result = __Pyx_PyObject_CallOneArg(method, obj);
        Py_DECREF(method);
        return result;
    }
    if (unlikely(!method)) goto bad;
    result = __Pyx_PyObject_CallNoArg(method);
    Py_DECREF(method);
bad:
    return result;
}

/* RaiseNoneIterError */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
    PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}

/* UnpackTupleError */
static void __Pyx_UnpackTupleError(PyObject *t, Py_ssize_t index) {
    if (t == Py_None) {
      __Pyx_RaiseNoneNotIterableError();
    } else if (PyTuple_GET_SIZE(t) < index) {
      __Pyx_RaiseNeedMoreValuesError(PyTuple_GET_SIZE(t));
    } else {
      __Pyx_RaiseTooManyValuesError(index);
    }
}

/* UnpackTuple2 */
static CYTHON_INLINE int __Pyx_unpack_tuple2_exact(
        PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2, int decref_tuple) {
    PyObject *value1 = NULL, *value2 = NULL;
#if CYTHON_COMPILING_IN_PYPY
    value1 = PySequence_ITEM(tuple, 0);  if (unlikely(!value1)) goto bad;
    value2 = PySequence_ITEM(tuple, 1);  if (unlikely(!value2)) goto bad;
#else
    value1 = PyTuple_GET_ITEM(tuple, 0);  Py_INCREF(value1);
    value2 = PyTuple_GET_ITEM(tuple, 1);  Py_INCREF(value2);
#endif
    if (decref_tuple) {
        Py_DECREF(tuple);
    }
    *pvalue1 = value1;
    *pvalue2 = value2;
    return 0;
#if CYTHON_COMPILING_IN_PYPY
bad:
    Py_XDECREF(value1);
    Py_XDECREF(value2);
    if (decref_tuple) { Py_XDECREF(tuple); }
    return -1;
#endif
}
static int __Pyx_unpack_tuple2_generic(PyObject* tuple, PyObject** pvalue1, PyObject** pvalue2,
                                       int has_known_size, int decref_tuple) {
    Py_ssize_t index;
    PyObject *value1 = NULL, *value2 = NULL, *iter = NULL;
    iternextfunc iternext;
    iter = PyObject_GetIter(tuple);
    if (unlikely(!iter)) goto bad;
    if (decref_tuple) { Py_DECREF(tuple); tuple = NULL; }
    iternext = Py_TYPE(iter)->tp_iternext;
    value1 = iternext(iter); if (unlikely(!value1)) { index = 0; goto unpacking_failed; }
    value2 = iternext(iter); if (unlikely(!value2)) { index = 1; goto unpacking_failed; }
    if (!has_known_size && unlikely(__Pyx_IternextUnpackEndCheck(iternext(iter), 2))) goto bad;
    Py_DECREF(iter);
    *pvalue1 = value1;
    *pvalue2 = value2;
    return 0;
unpacking_failed:
    if (!has_known_size && __Pyx_IterFinish() == 0)
        __Pyx_RaiseNeedMoreValuesError(index);
bad:
    Py_XDECREF(iter);
    Py_XDECREF(value1);
    Py_XDECREF(value2);
    if (decref_tuple) { Py_XDECREF(tuple); }
    return -1;
}

/* dict_iter */
static CYTHON_INLINE PyObject* __Pyx_dict_iterator(PyObject* iterable, int is_dict, PyObject* method_name,
                                                   Py_ssize_t* p_orig_length, int* p_source_is_dict) {
    is_dict = is_dict || likely(PyDict_CheckExact(iterable));
    *p_source_is_dict = is_dict;
    if (is_dict) {
#if !CYTHON_COMPILING_IN_PYPY
        *p_orig_length = PyDict_Size(iterable);
        Py_INCREF(iterable);
        return iterable;
#elif PY_MAJOR_VERSION >= 3
        static PyObject *py_items = NULL, *py_keys = NULL, *py_values = NULL;
        PyObject **pp = NULL;
        if (method_name) {
            const char *name = PyUnicode_AsUTF8(method_name);
            if (strcmp(name, "iteritems") == 0) pp = &py_items;
            else if (strcmp(name, "iterkeys") == 0) pp = &py_keys;
            else if (strcmp(name, "itervalues") == 0) pp = &py_values;
            if (pp) {
                if (!*pp) {
                    *pp = PyUnicode_FromString(name + 4);
                    if (!*pp)
                        return NULL;
                }
                method_name = *pp;
            }
        }
#endif
    }
    *p_orig_length = 0;
    if (method_name) {
        PyObject* iter;
        iterable = __Pyx_PyObject_CallMethod0(iterable, method_name);
        if (!iterable)
            return NULL;
#if !CYTHON_COMPILING_IN_PYPY
        if (PyTuple_CheckExact(iterable) || PyList_CheckExact(iterable))
            return iterable;
#endif
        iter = PyObject_GetIter(iterable);
        Py_DECREF(iterable);
        return iter;
    }
    return PyObject_GetIter(iterable);
}
static CYTHON_INLINE int __Pyx_dict_iter_next(
        PyObject* iter_obj, CYTHON_NCP_UNUSED Py_ssize_t orig_length, CYTHON_NCP_UNUSED Py_ssize_t* ppos,
        PyObject** pkey, PyObject** pvalue, PyObject** pitem, int source_is_dict) {
    PyObject* next_item;
#if !CYTHON_COMPILING_IN_PYPY
    if (source_is_dict) {
        PyObject *key, *value;
        if (unlikely(orig_length != PyDict_Size(iter_obj))) {
            PyErr_SetString(PyExc_RuntimeError, "dictionary changed size during iteration");
            return -1;
        }
        if (unlikely(!PyDict_Next(iter_obj, ppos, &key, &value))) {
            return 0;
        }
        if (pitem) {
            PyObject* tuple = PyTuple_New(2);
            if (unlikely(!tuple)) {
                return -1;
            }
            Py_INCREF(key);
            Py_INCREF(value);
            PyTuple_SET_ITEM(tuple, 0, key);
            PyTuple_SET_ITEM(tuple, 1, value);
            *pitem = tuple;
        } else {
            if (pkey) {
                Py_INCREF(key);
                *pkey = key;
            }
            if (pvalue) {
                Py_INCREF(value);
                *pvalue = value;
            }
        }
        return 1;
    } else if (PyTuple_CheckExact(iter_obj)) {
        Py_ssize_t pos = *ppos;
        if (unlikely(pos >= PyTuple_GET_SIZE(iter_obj))) return 0;
        *ppos = pos + 1;
        next_item = PyTuple_GET_ITEM(iter_obj, pos);
        Py_INCREF(next_item);
    } else if (PyList_CheckExact(iter_obj)) {
        Py_ssize_t pos = *ppos;
        if (unlikely(pos >= PyList_GET_SIZE(iter_obj))) return 0;
        *ppos = pos + 1;
        next_item = PyList_GET_ITEM(iter_obj, pos);
        Py_INCREF(next_item);
    } else
#endif
    {
        next_item = PyIter_Next(iter_obj);
        if (unlikely(!next_item)) {
            return __Pyx_IterFinish();
        }
    }
    if (pitem) {
        *pitem = next_item;
    } else if (pkey && pvalue) {
        if (__Pyx_unpack_tuple2(next_item, pkey, pvalue, source_is_dict, source_is_dict, 1))
            return -1;
    } else if (pkey) {
        *pkey = next_item;
    } else {
        *pvalue = next_item;
    }
    return 1;
}

/* GetItemInt */
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
    PyObject *r;
    if (!j) return NULL;
    r = PyObject_GetItem(o, j);
    Py_DECREF(j);
    return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
                                                              CYTHON_NCP_UNUSED int wraparound,
                                                              CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    Py_ssize_t wrapped_i = i;
    if (wraparound & unlikely(i < 0)) {
        wrapped_i += PyList_GET_SIZE(o);
    }
    if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyList_GET_SIZE(o)))) {
        PyObject *r = PyList_GET_ITEM(o, wrapped_i);
        Py_INCREF(r);
        return r;
    }
    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
    return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
                                                              CYTHON_NCP_UNUSED int wraparound,
                                                              CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    Py_ssize_t wrapped_i = i;
    if (wraparound & unlikely(i < 0)) {
        wrapped_i += PyTuple_GET_SIZE(o);
    }
    if ((!boundscheck) || likely(__Pyx_is_valid_index(wrapped_i, PyTuple_GET_SIZE(o)))) {
        PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
        Py_INCREF(r);
        return r;
    }
    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
    return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
                                                     CYTHON_NCP_UNUSED int wraparound,
                                                     CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
    if (is_list || PyList_CheckExact(o)) {
        Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
        if ((!boundscheck) || (likely(__Pyx_is_valid_index(n, PyList_GET_SIZE(o))))) {
            PyObject *r = PyList_GET_ITEM(o, n);
            Py_INCREF(r);
            return r;
        }
    }
    else if (PyTuple_CheckExact(o)) {
        Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
        if ((!boundscheck) || likely(__Pyx_is_valid_index(n, PyTuple_GET_SIZE(o)))) {
            PyObject *r = PyTuple_GET_ITEM(o, n);
            Py_INCREF(r);
            return r;
        }
    } else {
        PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
        if (likely(m && m->sq_item)) {
            if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
                Py_ssize_t l = m->sq_length(o);
                if (likely(l >= 0)) {
                    i += l;
                } else {
                    if (!PyErr_ExceptionMatches(PyExc_OverflowError))
                        return NULL;
                    PyErr_Clear();
                }
            }
            return m->sq_item(o, i);
        }
    }
#else
    if (is_list || PySequence_Check(o)) {
        return PySequence_GetItem(o, i);
    }
#endif
    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}

/* ObjectGetItem */
#if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
    PyObject *runerr;
    Py_ssize_t key_value;
    PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
    if (unlikely(!(m && m->sq_item))) {
        PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
        return NULL;
    }
    key_value = __Pyx_PyIndex_AsSsize_t(index);
    if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
        return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
    }
    if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
        PyErr_Clear();
        PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
    }
    return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
    PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
    if (likely(m && m->mp_subscript)) {
        return m->mp_subscript(obj, key);
    }
    return __Pyx_PyObject_GetIndex(obj, key);
}
#endif

/* SliceObject */
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetSlice(PyObject* obj,
        Py_ssize_t cstart, Py_ssize_t cstop,
        PyObject** _py_start, PyObject** _py_stop, PyObject** _py_slice,
        int has_cstart, int has_cstop, CYTHON_UNUSED int wraparound) {
#if CYTHON_USE_TYPE_SLOTS
    PyMappingMethods* mp;
#if PY_MAJOR_VERSION < 3
    PySequenceMethods* ms = Py_TYPE(obj)->tp_as_sequence;
    if (likely(ms && ms->sq_slice)) {
        if (!has_cstart) {
            if (_py_start && (*_py_start != Py_None)) {
                cstart = __Pyx_PyIndex_AsSsize_t(*_py_start);
                if ((cstart == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad;
            } else
                cstart = 0;
        }
        if (!has_cstop) {
            if (_py_stop && (*_py_stop != Py_None)) {
                cstop = __Pyx_PyIndex_AsSsize_t(*_py_stop);
                if ((cstop == (Py_ssize_t)-1) && PyErr_Occurred()) goto bad;
            } else
                cstop = PY_SSIZE_T_MAX;
        }
        if (wraparound && unlikely((cstart < 0) | (cstop < 0)) && likely(ms->sq_length)) {
            Py_ssize_t l = ms->sq_length(obj);
            if (likely(l >= 0)) {
                if (cstop < 0) {
                    cstop += l;
                    if (cstop < 0) cstop = 0;
                }
                if (cstart < 0) {
                    cstart += l;
                    if (cstart < 0) cstart = 0;
                }
            } else {
                if (!PyErr_ExceptionMatches(PyExc_OverflowError))
                    goto bad;
                PyErr_Clear();
            }
        }
        return ms->sq_slice(obj, cstart, cstop);
    }
#endif
    mp = Py_TYPE(obj)->tp_as_mapping;
    if (likely(mp && mp->mp_subscript))
#endif
    {
        PyObject* result;
        PyObject *py_slice, *py_start, *py_stop;
        if (_py_slice) {
            py_slice = *_py_slice;
        } else {
            PyObject* owned_start = NULL;
            PyObject* owned_stop = NULL;
            if (_py_start) {
                py_start = *_py_start;
            } else {
                if (has_cstart) {
                    owned_start = py_start = PyInt_FromSsize_t(cstart);
                    if (unlikely(!py_start)) goto bad;
                } else
                    py_start = Py_None;
            }
            if (_py_stop) {
                py_stop = *_py_stop;
            } else {
                if (has_cstop) {
                    owned_stop = py_stop = PyInt_FromSsize_t(cstop);
                    if (unlikely(!py_stop)) {
                        Py_XDECREF(owned_start);
                        goto bad;
                    }
                } else
                    py_stop = Py_None;
            }
            py_slice = PySlice_New(py_start, py_stop, Py_None);
            Py_XDECREF(owned_start);
            Py_XDECREF(owned_stop);
            if (unlikely(!py_slice)) goto bad;
        }
#if CYTHON_USE_TYPE_SLOTS
        result = mp->mp_subscript(obj, py_slice);
#else
        result = PyObject_GetItem(obj, py_slice);
#endif
        if (!_py_slice) {
            Py_DECREF(py_slice);
        }
        return result;
    }
    PyErr_Format(PyExc_TypeError,
        "'%.200s' object is unsliceable", Py_TYPE(obj)->tp_name);
bad:
    return NULL;
}

/* PyIntBinop */
#if !CYTHON_COMPILING_IN_PYPY
#if PY_MAJOR_VERSION < 3 || CYTHON_USE_PYLONG_INTERNALS
#define __Pyx_PyInt_TrueDivideObjC_ZeroDivisionError(operand)\
    if (unlikely(zerodivision_check && ((operand) == 0))) {\
        PyErr_SetString(PyExc_ZeroDivisionError, "integer division by zero");\
        return NULL;\
    }
#endif
static PyObject* __Pyx_PyInt_TrueDivideObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, int inplace, int zerodivision_check) {
    (void)inplace;
    (void)zerodivision_check;
    #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(op1))) {
        const long b = intval;
        long a = PyInt_AS_LONG(op1);
            __Pyx_PyInt_TrueDivideObjC_ZeroDivisionError(b)
            if (8 * sizeof(long) <= 53 || likely(labs(a) <= ((PY_LONG_LONG)1 << 53))) {
                return PyFloat_FromDouble((double)a / (double)b);
            }
            return PyInt_Type.tp_as_number->nb_true_divide(op1, op2);
    }
    #endif
    #if CYTHON_USE_PYLONG_INTERNALS
    if (likely(PyLong_CheckExact(op1))) {
        const long b = intval;
        long a, x;
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        const Py_ssize_t size = Py_SIZE(op1);
        if (likely(__Pyx_sst_abs(size) <= 1)) {
            a = likely(size) ? digits[0] : 0;
            if (size == -1) a = -a;
        } else {
            switch (size) {
                case -2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT && 1 * PyLong_SHIFT < 53) {
                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case 2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT && 1 * PyLong_SHIFT < 53) {
                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case -3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT && 2 * PyLong_SHIFT < 53) {
                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case 3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT && 2 * PyLong_SHIFT < 53) {
                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case -4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT && 3 * PyLong_SHIFT < 53) {
                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case 4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT && 3 * PyLong_SHIFT < 53) {
                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                default: return PyLong_Type.tp_as_number->nb_true_divide(op1, op2);
            }
        }
                __Pyx_PyInt_TrueDivideObjC_ZeroDivisionError(b)
                if ((8 * sizeof(long) <= 53 || likely(labs(a) <= ((PY_LONG_LONG)1 << 53)))
                        || __Pyx_sst_abs(size) <= 52 / PyLong_SHIFT) {
                    return PyFloat_FromDouble((double)a / (double)b);
                }
                return PyLong_Type.tp_as_number->nb_true_divide(op1, op2);
            return PyLong_FromLong(x);
        
    }
    #endif
    if (PyFloat_CheckExact(op1)) {
        const long b = intval;
        double a = PyFloat_AS_DOUBLE(op1);
            double result;
            if (unlikely(zerodivision_check && b == 0)) {
                PyErr_SetString(PyExc_ZeroDivisionError, "float division by zero");
                return NULL;
            }
            PyFPE_START_PROTECT("divide", return NULL)
            result = ((double)a) / (double)b;
            PyFPE_END_PROTECT(result)
            return PyFloat_FromDouble(result);
    }
    return (inplace ? PyNumber_InPlaceTrueDivide : PyNumber_TrueDivide)(op1, op2);
}
#endif

/* DictGetItem */
#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) {
    PyObject *value;
    value = PyDict_GetItemWithError(d, key);
    if (unlikely(!value)) {
        if (!PyErr_Occurred()) {
            if (unlikely(PyTuple_Check(key))) {
                PyObject* args = PyTuple_Pack(1, key);
                if (likely(args)) {
                    PyErr_SetObject(PyExc_KeyError, args);
                    Py_DECREF(args);
                }
            } else {
                PyErr_SetObject(PyExc_KeyError, key);
            }
        }
        return NULL;
    }
    Py_INCREF(value);
    return value;
}
#endif

/* PyObjectCallMethod1 */
static PyObject* __Pyx__PyObject_CallMethod1(PyObject* method, PyObject* arg) {
    PyObject *result = __Pyx_PyObject_CallOneArg(method, arg);
    Py_DECREF(method);
    return result;
}
static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) {
    PyObject *method = NULL, *result;
    int is_method = __Pyx_PyObject_GetMethod(obj, method_name, &method);
    if (likely(is_method)) {
        result = __Pyx_PyObject_Call2Args(method, obj, arg);
        Py_DECREF(method);
        return result;
    }
    if (unlikely(!method)) return NULL;
    return __Pyx__PyObject_CallMethod1(method, arg);
}

/* append */
static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x) {
    if (likely(PyList_CheckExact(L))) {
        if (unlikely(__Pyx_PyList_Append(L, x) < 0)) return -1;
    } else {
        PyObject* retval = __Pyx_PyObject_CallMethod1(L, __pyx_n_s_append, x);
        if (unlikely(!retval))
            return -1;
        Py_DECREF(retval);
    }
    return 0;
}

/* BytesEquals */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
    return PyObject_RichCompareBool(s1, s2, equals);
#else
    if (s1 == s2) {
        return (equals == Py_EQ);
    } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
        const char *ps1, *ps2;
        Py_ssize_t length = PyBytes_GET_SIZE(s1);
        if (length != PyBytes_GET_SIZE(s2))
            return (equals == Py_NE);
        ps1 = PyBytes_AS_STRING(s1);
        ps2 = PyBytes_AS_STRING(s2);
        if (ps1[0] != ps2[0]) {
            return (equals == Py_NE);
        } else if (length == 1) {
            return (equals == Py_EQ);
        } else {
            int result;
#if CYTHON_USE_UNICODE_INTERNALS
            Py_hash_t hash1, hash2;
            hash1 = ((PyBytesObject*)s1)->ob_shash;
            hash2 = ((PyBytesObject*)s2)->ob_shash;
            if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
                return (equals == Py_NE);
            }
#endif
            result = memcmp(ps1, ps2, (size_t)length);
            return (equals == Py_EQ) ? (result == 0) : (result != 0);
        }
    } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
        return (equals == Py_NE);
    } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
        return (equals == Py_NE);
    } else {
        int result;
        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
        if (!py_result)
            return -1;
        result = __Pyx_PyObject_IsTrue(py_result);
        Py_DECREF(py_result);
        return result;
    }
#endif
}

/* UnicodeEquals */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
    return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
    PyObject* owned_ref = NULL;
#endif
    int s1_is_unicode, s2_is_unicode;
    if (s1 == s2) {
        goto return_eq;
    }
    s1_is_unicode = PyUnicode_CheckExact(s1);
    s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
    if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
        owned_ref = PyUnicode_FromObject(s2);
        if (unlikely(!owned_ref))
            return -1;
        s2 = owned_ref;
        s2_is_unicode = 1;
    } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
        owned_ref = PyUnicode_FromObject(s1);
        if (unlikely(!owned_ref))
            return -1;
        s1 = owned_ref;
        s1_is_unicode = 1;
    } else if (((!s2_is_unicode) & (!s1_is_unicode))) {
        return __Pyx_PyBytes_Equals(s1, s2, equals);
    }
#endif
    if (s1_is_unicode & s2_is_unicode) {
        Py_ssize_t length;
        int kind;
        void *data1, *data2;
        if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
            return -1;
        length = __Pyx_PyUnicode_GET_LENGTH(s1);
        if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
            goto return_ne;
        }
#if CYTHON_USE_UNICODE_INTERNALS
        {
            Py_hash_t hash1, hash2;
        #if CYTHON_PEP393_ENABLED
            hash1 = ((PyASCIIObject*)s1)->hash;
            hash2 = ((PyASCIIObject*)s2)->hash;
        #else
            hash1 = ((PyUnicodeObject*)s1)->hash;
            hash2 = ((PyUnicodeObject*)s2)->hash;
        #endif
            if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
                goto return_ne;
            }
        }
#endif
        kind = __Pyx_PyUnicode_KIND(s1);
        if (kind != __Pyx_PyUnicode_KIND(s2)) {
            goto return_ne;
        }
        data1 = __Pyx_PyUnicode_DATA(s1);
        data2 = __Pyx_PyUnicode_DATA(s2);
        if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
            goto return_ne;
        } else if (length == 1) {
            goto return_eq;
        } else {
            int result = memcmp(data1, data2, (size_t)(length * kind));
            #if PY_MAJOR_VERSION < 3
            Py_XDECREF(owned_ref);
            #endif
            return (equals == Py_EQ) ? (result == 0) : (result != 0);
        }
    } else if ((s1 == Py_None) & s2_is_unicode) {
        goto return_ne;
    } else if ((s2 == Py_None) & s1_is_unicode) {
        goto return_ne;
    } else {
        int result;
        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
        #if PY_MAJOR_VERSION < 3
        Py_XDECREF(owned_ref);
        #endif
        if (!py_result)
            return -1;
        result = __Pyx_PyObject_IsTrue(py_result);
        Py_DECREF(py_result);
        return result;
    }
return_eq:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(owned_ref);
    #endif
    return (equals == Py_EQ);
return_ne:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(owned_ref);
    #endif
    return (equals == Py_NE);
#endif
}

/* None */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
    PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}

/* PyFloatBinop */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyFloat_EqObjC(PyObject *op1, PyObject *op2, double floatval, int inplace, int zerodivision_check) {
    const double b = floatval;
    double a;
    (void)inplace;
    (void)zerodivision_check;
    if (op1 == op2) {
        Py_RETURN_TRUE;
    }
    if (likely(PyFloat_CheckExact(op1))) {
        a = PyFloat_AS_DOUBLE(op1);
        
    } else
    #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(op1))) {
        a = (double) PyInt_AS_LONG(op1);
        
    } else
    #endif
    if (likely(PyLong_CheckExact(op1))) {
        #if CYTHON_USE_PYLONG_INTERNALS
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        const Py_ssize_t size = Py_SIZE(op1);
        switch (size) {
            case  0: a = 0.0; break;
            case -1: a = -(double) digits[0]; break;
            case  1: a = (double) digits[0]; break;
            case -2:
            case 2:
                if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT && ((8 * sizeof(unsigned long) < 53) || (1 * PyLong_SHIFT < 53))) {
                    a = (double) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                    if ((8 * sizeof(unsigned long) < 53) || (2 * PyLong_SHIFT < 53) || (a < (double) ((PY_LONG_LONG)1 << 53))) {
                        if (size == -2)
                            a = -a;
                        break;
                    }
                }
                CYTHON_FALLTHROUGH;
            case -3:
            case 3:
                if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT && ((8 * sizeof(unsigned long) < 53) || (2 * PyLong_SHIFT < 53))) {
                    a = (double) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                    if ((8 * sizeof(unsigned long) < 53) || (3 * PyLong_SHIFT < 53) || (a < (double) ((PY_LONG_LONG)1 << 53))) {
                        if (size == -3)
                            a = -a;
                        break;
                    }
                }
                CYTHON_FALLTHROUGH;
            case -4:
            case 4:
                if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT && ((8 * sizeof(unsigned long) < 53) || (3 * PyLong_SHIFT < 53))) {
                    a = (double) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                    if ((8 * sizeof(unsigned long) < 53) || (4 * PyLong_SHIFT < 53) || (a < (double) ((PY_LONG_LONG)1 << 53))) {
                        if (size == -4)
                            a = -a;
                        break;
                    }
                }
                CYTHON_FALLTHROUGH;
            default:
        #else
        {
        #endif
            return (
                PyFloat_Type.tp_richcompare(op2, op1, Py_EQ));
        }
    } else {
        return (
            PyObject_RichCompare(op1, op2, Py_EQ));
    }
        if (a == b) {
            Py_RETURN_TRUE;
        } else {
            Py_RETURN_FALSE;
        }
}
#endif

/* PyFloatBinop */
  #if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyFloat_AddObjC(PyObject *op1, PyObject *op2, double floatval, int inplace, int zerodivision_check) {
    const double b = floatval;
    double a, result;
    (void)inplace;
    (void)zerodivision_check;
    if (likely(PyFloat_CheckExact(op1))) {
        a = PyFloat_AS_DOUBLE(op1);
        
    } else
    #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(op1))) {
        a = (double) PyInt_AS_LONG(op1);
        
    } else
    #endif
    if (likely(PyLong_CheckExact(op1))) {
        #if CYTHON_USE_PYLONG_INTERNALS
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        const Py_ssize_t size = Py_SIZE(op1);
        switch (size) {
            case  0: a = 0.0; break;
            case -1: a = -(double) digits[0]; break;
            case  1: a = (double) digits[0]; break;
            case -2:
            case 2:
                if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT && ((8 * sizeof(unsigned long) < 53) || (1 * PyLong_SHIFT < 53))) {
                    a = (double) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                    if ((8 * sizeof(unsigned long) < 53) || (2 * PyLong_SHIFT < 53) || (a < (double) ((PY_LONG_LONG)1 << 53))) {
                        if (size == -2)
                            a = -a;
                        break;
                    }
                }
                CYTHON_FALLTHROUGH;
            case -3:
            case 3:
                if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT && ((8 * sizeof(unsigned long) < 53) || (2 * PyLong_SHIFT < 53))) {
                    a = (double) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                    if ((8 * sizeof(unsigned long) < 53) || (3 * PyLong_SHIFT < 53) || (a < (double) ((PY_LONG_LONG)1 << 53))) {
                        if (size == -3)
                            a = -a;
                        break;
                    }
                }
                CYTHON_FALLTHROUGH;
            case -4:
            case 4:
                if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT && ((8 * sizeof(unsigned long) < 53) || (3 * PyLong_SHIFT < 53))) {
                    a = (double) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                    if ((8 * sizeof(unsigned long) < 53) || (4 * PyLong_SHIFT < 53) || (a < (double) ((PY_LONG_LONG)1 << 53))) {
                        if (size == -4)
                            a = -a;
                        break;
                    }
                }
                CYTHON_FALLTHROUGH;
            default:
        #else
        {
        #endif
            a = PyLong_AsDouble(op1);
            if (unlikely(a == -1.0 && PyErr_Occurred())) return NULL;
            
        }
    } else {
        return (inplace ? PyNumber_InPlaceAdd : PyNumber_Add)(op1, op2);
    }
        
        PyFPE_START_PROTECT("add", return NULL)
        result = a + b;
        PyFPE_END_PROTECT(result)
        return PyFloat_FromDouble(result);
}
#endif

/* PyObject_GenericGetAttrNoDict */
    #if CYTHON_USE_TYPE_SLOTS && CYTHON_USE_PYTYPE_LOOKUP && PY_VERSION_HEX < 0x03070000
static PyObject *__Pyx_RaiseGenericGetAttributeError(PyTypeObject *tp, PyObject *attr_name) {
    PyErr_Format(PyExc_AttributeError,
#if PY_MAJOR_VERSION >= 3
                 "'%.50s' object has no attribute '%U'",
                 tp->tp_name, attr_name);
#else
                 "'%.50s' object has no attribute '%.400s'",
                 tp->tp_name, PyString_AS_STRING(attr_name));
#endif
    return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_GenericGetAttrNoDict(PyObject* obj, PyObject* attr_name) {
    PyObject *descr;
    PyTypeObject *tp = Py_TYPE(obj);
    if (unlikely(!PyString_Check(attr_name))) {
        return PyObject_GenericGetAttr(obj, attr_name);
    }
    assert(!tp->tp_dictoffset);
    descr = _PyType_Lookup(tp, attr_name);
    if (unlikely(!descr)) {
        return __Pyx_RaiseGenericGetAttributeError(tp, attr_name);
    }
    Py_INCREF(descr);
    #if PY_MAJOR_VERSION < 3
    if (likely(PyType_HasFeature(Py_TYPE(descr), Py_TPFLAGS_HAVE_CLASS)))
    #endif
    {
        descrgetfunc f = Py_TYPE(descr)->tp_descr_get;
        if (unlikely(f)) {
            PyObject *res = f(descr, obj, (PyObject *)tp);
            Py_DECREF(descr);
            return res;
        }
    }
    return descr;
}
#endif

/* TypeImport */
    #ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(PyObject *module, const char *module_name, const char *class_name,
    size_t size, enum __Pyx_ImportType_CheckSize check_size)
{
    PyObject *result = 0;
    char warning[200];
    Py_ssize_t basicsize;
#ifdef Py_LIMITED_API
    PyObject *py_basicsize;
#endif
    result = PyObject_GetAttrString(module, class_name);
    if (!result)
        goto bad;
    if (!PyType_Check(result)) {
        PyErr_Format(PyExc_TypeError,
            "%.200s.%.200s is not a type object",
            module_name, class_name);
        goto bad;
    }
#ifndef Py_LIMITED_API
    basicsize = ((PyTypeObject *)result)->tp_basicsize;
#else
    py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
    if (!py_basicsize)
        goto bad;
    basicsize = PyLong_AsSsize_t(py_basicsize);
    Py_DECREF(py_basicsize);
    py_basicsize = 0;
    if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
        goto bad;
#endif
    if ((size_t)basicsize < size) {
        PyErr_Format(PyExc_ValueError,
            "%.200s.%.200s size changed, may indicate binary incompatibility. "
            "Expected %zd from C header, got %zd from PyObject",
            module_name, class_name, size, basicsize);
        goto bad;
    }
    if (check_size == __Pyx_ImportType_CheckSize_Error && (size_t)basicsize != size) {
        PyErr_Format(PyExc_ValueError,
            "%.200s.%.200s size changed, may indicate binary incompatibility. "
            "Expected %zd from C header, got %zd from PyObject",
            module_name, class_name, size, basicsize);
        goto bad;
    }
    else if (check_size == __Pyx_ImportType_CheckSize_Warn && (size_t)basicsize > size) {
        PyOS_snprintf(warning, sizeof(warning),
            "%s.%s size changed, may indicate binary incompatibility. "
            "Expected %zd from C header, got %zd from PyObject",
            module_name, class_name, size, basicsize);
        if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
    }
    return (PyTypeObject *)result;
bad:
    Py_XDECREF(result);
    return NULL;
}
#endif

/* GetVTable */
    static void* __Pyx_GetVtable(PyObject *dict) {
    void* ptr;
    PyObject *ob = PyObject_GetItem(dict, __pyx_n_s_pyx_vtable);
    if (!ob)
        goto bad;
#if PY_VERSION_HEX >= 0x02070000
    ptr = PyCapsule_GetPointer(ob, 0);
#else
    ptr = PyCObject_AsVoidPtr(ob);
#endif
    if (!ptr && !PyErr_Occurred())
        PyErr_SetString(PyExc_RuntimeError, "invalid vtable found for imported type");
    Py_DECREF(ob);
    return ptr;
bad:
    Py_XDECREF(ob);
    return NULL;
}

/* Import */
    static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
    PyObject *empty_list = 0;
    PyObject *module = 0;
    PyObject *global_dict = 0;
    PyObject *empty_dict = 0;
    PyObject *list;
    #if PY_MAJOR_VERSION < 3
    PyObject *py_import;
    py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
    if (!py_import)
        goto bad;
    #endif
    if (from_list)
        list = from_list;
    else {
        empty_list = PyList_New(0);
        if (!empty_list)
            goto bad;
        list = empty_list;
    }
    global_dict = PyModule_GetDict(__pyx_m);
    if (!global_dict)
        goto bad;
    empty_dict = PyDict_New();
    if (!empty_dict)
        goto bad;
    {
        #if PY_MAJOR_VERSION >= 3
        if (level == -1) {
            if (strchr(__Pyx_MODULE_NAME, '.')) {
                module = PyImport_ImportModuleLevelObject(
                    name, global_dict, empty_dict, list, 1);
                if (!module) {
                    if (!PyErr_ExceptionMatches(PyExc_ImportError))
                        goto bad;
                    PyErr_Clear();
                }
            }
            level = 0;
        }
        #endif
        if (!module) {
            #if PY_MAJOR_VERSION < 3
            PyObject *py_level = PyInt_FromLong(level);
            if (!py_level)
                goto bad;
            module = PyObject_CallFunctionObjArgs(py_import,
                name, global_dict, empty_dict, list, py_level, (PyObject *)NULL);
            Py_DECREF(py_level);
            #else
            module = PyImport_ImportModuleLevelObject(
                name, global_dict, empty_dict, list, level);
            #endif
        }
    }
bad:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(py_import);
    #endif
    Py_XDECREF(empty_list);
    Py_XDECREF(empty_dict);
    return module;
}

/* ImportFrom */
    static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
    PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
    if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
        PyErr_Format(PyExc_ImportError,
        #if PY_MAJOR_VERSION < 3
            "cannot import name %.230s", PyString_AS_STRING(name));
        #else
            "cannot import name %S", name);
        #endif
    }
    return value;
}

/* CalculateMetaclass */
    static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases) {
    Py_ssize_t i, nbases = PyTuple_GET_SIZE(bases);
    for (i=0; i < nbases; i++) {
        PyTypeObject *tmptype;
        PyObject *tmp = PyTuple_GET_ITEM(bases, i);
        tmptype = Py_TYPE(tmp);
#if PY_MAJOR_VERSION < 3
        if (tmptype == &PyClass_Type)
            continue;
#endif
        if (!metaclass) {
            metaclass = tmptype;
            continue;
        }
        if (PyType_IsSubtype(metaclass, tmptype))
            continue;
        if (PyType_IsSubtype(tmptype, metaclass)) {
            metaclass = tmptype;
            continue;
        }
        PyErr_SetString(PyExc_TypeError,
                        "metaclass conflict: "
                        "the metaclass of a derived class "
                        "must be a (non-strict) subclass "
                        "of the metaclasses of all its bases");
        return NULL;
    }
    if (!metaclass) {
#if PY_MAJOR_VERSION < 3
        metaclass = &PyClass_Type;
#else
        metaclass = &PyType_Type;
#endif
    }
    Py_INCREF((PyObject*) metaclass);
    return (PyObject*) metaclass;
}

/* Py3ClassCreate */
    static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name,
                                           PyObject *qualname, PyObject *mkw, PyObject *modname, PyObject *doc) {
    PyObject *ns;
    if (metaclass) {
        PyObject *prep = __Pyx_PyObject_GetAttrStr(metaclass, __pyx_n_s_prepare);
        if (prep) {
            PyObject *pargs = PyTuple_Pack(2, name, bases);
            if (unlikely(!pargs)) {
                Py_DECREF(prep);
                return NULL;
            }
            ns = PyObject_Call(prep, pargs, mkw);
            Py_DECREF(prep);
            Py_DECREF(pargs);
        } else {
            if (unlikely(!PyErr_ExceptionMatches(PyExc_AttributeError)))
                return NULL;
            PyErr_Clear();
            ns = PyDict_New();
        }
    } else {
        ns = PyDict_New();
    }
    if (unlikely(!ns))
        return NULL;
    if (unlikely(PyObject_SetItem(ns, __pyx_n_s_module, modname) < 0)) goto bad;
    if (unlikely(PyObject_SetItem(ns, __pyx_n_s_qualname, qualname) < 0)) goto bad;
    if (unlikely(doc && PyObject_SetItem(ns, __pyx_n_s_doc, doc) < 0)) goto bad;
    return ns;
bad:
    Py_DECREF(ns);
    return NULL;
}
static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases,
                                      PyObject *dict, PyObject *mkw,
                                      int calculate_metaclass, int allow_py2_metaclass) {
    PyObject *result, *margs;
    PyObject *owned_metaclass = NULL;
    if (allow_py2_metaclass) {
        owned_metaclass = PyObject_GetItem(dict, __pyx_n_s_metaclass);
        if (owned_metaclass) {
            metaclass = owned_metaclass;
        } else if (likely(PyErr_ExceptionMatches(PyExc_KeyError))) {
            PyErr_Clear();
        } else {
            return NULL;
        }
    }
    if (calculate_metaclass && (!metaclass || PyType_Check(metaclass))) {
        metaclass = __Pyx_CalculateMetaclass((PyTypeObject*) metaclass, bases);
        Py_XDECREF(owned_metaclass);
        if (unlikely(!metaclass))
            return NULL;
        owned_metaclass = metaclass;
    }
    margs = PyTuple_Pack(3, name, bases, dict);
    if (unlikely(!margs)) {
        result = NULL;
    } else {
        result = PyObject_Call(metaclass, margs, mkw);
        Py_DECREF(margs);
    }
    Py_XDECREF(owned_metaclass);
    return result;
}

/* PyErrFetchRestore */
    #if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    tmp_type = tstate->curexc_type;
    tmp_value = tstate->curexc_value;
    tmp_tb = tstate->curexc_traceback;
    tstate->curexc_type = type;
    tstate->curexc_value = value;
    tstate->curexc_traceback = tb;
    Py_XDECREF(tmp_type);
    Py_XDECREF(tmp_value);
    Py_XDECREF(tmp_tb);
}
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
    *type = tstate->curexc_type;
    *value = tstate->curexc_value;
    *tb = tstate->curexc_traceback;
    tstate->curexc_type = 0;
    tstate->curexc_value = 0;
    tstate->curexc_traceback = 0;
}
#endif

/* CLineInTraceback */
    #ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line) {
    PyObject *use_cline;
    PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
    PyObject **cython_runtime_dict;
#endif
    if (unlikely(!__pyx_cython_runtime)) {
        return c_line;
    }
    __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
    cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
    if (likely(cython_runtime_dict)) {
        __PYX_PY_DICT_LOOKUP_IF_MODIFIED(
            use_cline, *cython_runtime_dict,
            __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback))
    } else
#endif
    {
      PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
      if (use_cline_obj) {
        use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
        Py_DECREF(use_cline_obj);
      } else {
        PyErr_Clear();
        use_cline = NULL;
      }
    }
    if (!use_cline) {
        c_line = 0;
        PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
    }
    else if (use_cline == Py_False || (use_cline != Py_True && PyObject_Not(use_cline) != 0)) {
        c_line = 0;
    }
    __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
    return c_line;
}
#endif

/* CodeObjectCache */
    static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
    int start = 0, mid = 0, end = count - 1;
    if (end >= 0 && code_line > entries[end].code_line) {
        return count;
    }
    while (start < end) {
        mid = start + (end - start) / 2;
        if (code_line < entries[mid].code_line) {
            end = mid;
        } else if (code_line > entries[mid].code_line) {
             start = mid + 1;
        } else {
            return mid;
        }
    }
    if (code_line <= entries[mid].code_line) {
        return mid;
    } else {
        return mid + 1;
    }
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
    PyCodeObject* code_object;
    int pos;
    if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
        return NULL;
    }
    pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
    if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
        return NULL;
    }
    code_object = __pyx_code_cache.entries[pos].code_object;
    Py_INCREF(code_object);
    return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
    int pos, i;
    __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
    if (unlikely(!code_line)) {
        return;
    }
    if (unlikely(!entries)) {
        entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
        if (likely(entries)) {
            __pyx_code_cache.entries = entries;
            __pyx_code_cache.max_count = 64;
            __pyx_code_cache.count = 1;
            entries[0].code_line = code_line;
            entries[0].code_object = code_object;
            Py_INCREF(code_object);
        }
        return;
    }
    pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
    if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
        PyCodeObject* tmp = entries[pos].code_object;
        entries[pos].code_object = code_object;
        Py_DECREF(tmp);
        return;
    }
    if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
        int new_max = __pyx_code_cache.max_count + 64;
        entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
            __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));
        if (unlikely(!entries)) {
            return;
        }
        __pyx_code_cache.entries = entries;
        __pyx_code_cache.max_count = new_max;
    }
    for (i=__pyx_code_cache.count; i>pos; i--) {
        entries[i] = entries[i-1];
    }
    entries[pos].code_line = code_line;
    entries[pos].code_object = code_object;
    __pyx_code_cache.count++;
    Py_INCREF(code_object);
}

/* AddTraceback */
    #include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
            const char *funcname, int c_line,
            int py_line, const char *filename) {
    PyCodeObject *py_code = 0;
    PyObject *py_srcfile = 0;
    PyObject *py_funcname = 0;
    #if PY_MAJOR_VERSION < 3
    py_srcfile = PyString_FromString(filename);
    #else
    py_srcfile = PyUnicode_FromString(filename);
    #endif
    if (!py_srcfile) goto bad;
    if (c_line) {
        #if PY_MAJOR_VERSION < 3
        py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
        #else
        py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
        #endif
    }
    else {
        #if PY_MAJOR_VERSION < 3
        py_funcname = PyString_FromString(funcname);
        #else
        py_funcname = PyUnicode_FromString(funcname);
        #endif
    }
    if (!py_funcname) goto bad;
    py_code = __Pyx_PyCode_New(
        0,
        0,
        0,
        0,
        0,
        __pyx_empty_bytes, /*PyObject *code,*/
        __pyx_empty_tuple, /*PyObject *consts,*/
        __pyx_empty_tuple, /*PyObject *names,*/
        __pyx_empty_tuple, /*PyObject *varnames,*/
        __pyx_empty_tuple, /*PyObject *freevars,*/
        __pyx_empty_tuple, /*PyObject *cellvars,*/
        py_srcfile,   /*PyObject *filename,*/
        py_funcname,  /*PyObject *name,*/
        py_line,
        __pyx_empty_bytes  /*PyObject *lnotab*/
    );
    Py_DECREF(py_srcfile);
    Py_DECREF(py_funcname);
    return py_code;
bad:
    Py_XDECREF(py_srcfile);
    Py_XDECREF(py_funcname);
    return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
                               int py_line, const char *filename) {
    PyCodeObject *py_code = 0;
    PyFrameObject *py_frame = 0;
    PyThreadState *tstate = __Pyx_PyThreadState_Current;
    if (c_line) {
        c_line = __Pyx_CLineForTraceback(tstate, c_line);
    }
    py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
    if (!py_code) {
        py_code = __Pyx_CreateCodeObjectForTraceback(
            funcname, c_line, py_line, filename);
        if (!py_code) goto bad;
        __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
    }
    py_frame = PyFrame_New(
        tstate,            /*PyThreadState *tstate,*/
        py_code,           /*PyCodeObject *code,*/
        __pyx_d,    /*PyObject *globals,*/
        0                  /*PyObject *locals*/
    );
    if (!py_frame) goto bad;
    __Pyx_PyFrame_SetLineNumber(py_frame, py_line);
    PyTraceBack_Here(py_frame);
bad:
    Py_XDECREF(py_code);
    Py_XDECREF(py_frame);
}

/* CIntFromPyVerify */
    #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
    __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
    __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
    {\
        func_type value = func_value;\
        if (sizeof(target_type) < sizeof(func_type)) {\
            if (unlikely(value != (func_type) (target_type) value)) {\
                func_type zero = 0;\
                if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
                    return (target_type) -1;\
                if (is_unsigned && unlikely(value < zero))\
                    goto raise_neg_overflow;\
                else\
                    goto raise_overflow;\
            }\
        }\
        return (target_type) value;\
    }

/* CIntToPy */
    static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
    const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(int) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(int) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(int) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(int),
                                     little, !is_unsigned);
    }
}

/* CIntToPy */
    static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
    const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(long) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(long) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(long) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(long),
                                     little, !is_unsigned);
    }
}

/* CIntToPy */
    static CYTHON_INLINE PyObject* __Pyx_PyInt_From_PY_LONG_LONG(PY_LONG_LONG value) {
    const PY_LONG_LONG neg_one = (PY_LONG_LONG) ((PY_LONG_LONG) 0 - (PY_LONG_LONG) 1), const_zero = (PY_LONG_LONG) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(PY_LONG_LONG) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(PY_LONG_LONG) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(PY_LONG_LONG) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(PY_LONG_LONG) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(PY_LONG_LONG) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(PY_LONG_LONG),
                                     little, !is_unsigned);
    }
}

/* CIntFromPy */
    static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
    const int neg_one = (int) ((int) 0 - (int) 1), const_zero = (int) 0;
    const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x))) {
        if (sizeof(int) < sizeof(long)) {
            __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
        } else {
            long val = PyInt_AS_LONG(x);
            if (is_unsigned && unlikely(val < 0)) {
                goto raise_neg_overflow;
            }
            return (int) val;
        }
    } else
#endif
    if (likely(PyLong_Check(x))) {
        if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (int) 0;
                case  1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
                case 2:
                    if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
                            return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
                            return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
                            return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
                        }
                    }
                    break;
            }
#endif
#if CYTHON_COMPILING_IN_CPYTHON
            if (unlikely(Py_SIZE(x) < 0)) {
                goto raise_neg_overflow;
            }
#else
            {
                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
                if (unlikely(result < 0))
                    return (int) -1;
                if (unlikely(result == 1))
                    goto raise_neg_overflow;
            }
#endif
            if (sizeof(int) <= sizeof(unsigned long)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
            }
        } else {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (int) 0;
                case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
                case  1: __PYX_VERIFY_RETURN_INT(int,  digit, +digits[0])
                case -2:
                    if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
                            return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case 2:
                    if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
                            return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case -3:
                    if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
                            return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
                            return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case -4:
                    if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
                            return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
                            return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
            }
#endif
            if (sizeof(int) <= sizeof(long)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
            }
        }
        {
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
            PyErr_SetString(PyExc_RuntimeError,
                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
            int val;
            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
 #if PY_MAJOR_VERSION < 3
            if (likely(v) && !PyLong_Check(v)) {
                PyObject *tmp = v;
                v = PyNumber_Long(tmp);
                Py_DECREF(tmp);
            }
 #endif
            if (likely(v)) {
                int one = 1; int is_little = (int)*(unsigned char *)&one;
                unsigned char *bytes = (unsigned char *)&val;
                int ret = _PyLong_AsByteArray((PyLongObject *)v,
                                              bytes, sizeof(val),
                                              is_little, !is_unsigned);
                Py_DECREF(v);
                if (likely(!ret))
                    return val;
            }
#endif
            return (int) -1;
        }
    } else {
        int val;
        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
        if (!tmp) return (int) -1;
        val = __Pyx_PyInt_As_int(tmp);
        Py_DECREF(tmp);
        return val;
    }
raise_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "value too large to convert to int");
    return (int) -1;
raise_neg_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "can't convert negative value to int");
    return (int) -1;
}

/* CIntFromPy */
    static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
    const long neg_one = (long) ((long) 0 - (long) 1), const_zero = (long) 0;
    const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x))) {
        if (sizeof(long) < sizeof(long)) {
            __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
        } else {
            long val = PyInt_AS_LONG(x);
            if (is_unsigned && unlikely(val < 0)) {
                goto raise_neg_overflow;
            }
            return (long) val;
        }
    } else
#endif
    if (likely(PyLong_Check(x))) {
        if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (long) 0;
                case  1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
                case 2:
                    if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
                            return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
                            return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
                            return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
                        }
                    }
                    break;
            }
#endif
#if CYTHON_COMPILING_IN_CPYTHON
            if (unlikely(Py_SIZE(x) < 0)) {
                goto raise_neg_overflow;
            }
#else
            {
                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
                if (unlikely(result < 0))
                    return (long) -1;
                if (unlikely(result == 1))
                    goto raise_neg_overflow;
            }
#endif
            if (sizeof(long) <= sizeof(unsigned long)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
            }
        } else {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (long) 0;
                case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
                case  1: __PYX_VERIFY_RETURN_INT(long,  digit, +digits[0])
                case -2:
                    if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                            return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case 2:
                    if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                            return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case -3:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                            return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                            return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case -4:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                            return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                            return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
            }
#endif
            if (sizeof(long) <= sizeof(long)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
            }
        }
        {
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
            PyErr_SetString(PyExc_RuntimeError,
                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
            long val;
            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
 #if PY_MAJOR_VERSION < 3
            if (likely(v) && !PyLong_Check(v)) {
                PyObject *tmp = v;
                v = PyNumber_Long(tmp);
                Py_DECREF(tmp);
            }
 #endif
            if (likely(v)) {
                int one = 1; int is_little = (int)*(unsigned char *)&one;
                unsigned char *bytes = (unsigned char *)&val;
                int ret = _PyLong_AsByteArray((PyLongObject *)v,
                                              bytes, sizeof(val),
                                              is_little, !is_unsigned);
                Py_DECREF(v);
                if (likely(!ret))
                    return val;
            }
#endif
            return (long) -1;
        }
    } else {
        long val;
        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
        if (!tmp) return (long) -1;
        val = __Pyx_PyInt_As_long(tmp);
        Py_DECREF(tmp);
        return val;
    }
raise_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "value too large to convert to long");
    return (long) -1;
raise_neg_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "can't convert negative value to long");
    return (long) -1;
}

/* FastTypeChecks */
    #if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
    while (a) {
        a = a->tp_base;
        if (a == b)
            return 1;
    }
    return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
    PyObject *mro;
    if (a == b) return 1;
    mro = a->tp_mro;
    if (likely(mro)) {
        Py_ssize_t i, n;
        n = PyTuple_GET_SIZE(mro);
        for (i = 0; i < n; i++) {
            if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
                return 1;
        }
        return 0;
    }
    return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
    PyObject *exception, *value, *tb;
    int res;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&exception, &value, &tb);
    res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
    if (unlikely(res == -1)) {
        PyErr_WriteUnraisable(err);
        res = 0;
    }
    if (!res) {
        res = PyObject_IsSubclass(err, exc_type2);
        if (unlikely(res == -1)) {
            PyErr_WriteUnraisable(err);
            res = 0;
        }
    }
    __Pyx_ErrRestore(exception, value, tb);
    return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
    int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
    if (!res) {
        res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
    }
    return res;
}
#endif
static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
    Py_ssize_t i, n;
    assert(PyExceptionClass_Check(exc_type));
    n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
    for (i=0; i<n; i++) {
        if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
    }
#endif
    for (i=0; i<n; i++) {
        PyObject *t = PyTuple_GET_ITEM(tuple, i);
        #if PY_MAJOR_VERSION < 3
        if (likely(exc_type == t)) return 1;
        #endif
        if (likely(PyExceptionClass_Check(t))) {
            if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
        } else {
        }
    }
    return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
    if (likely(err == exc_type)) return 1;
    if (likely(PyExceptionClass_Check(err))) {
        if (likely(PyExceptionClass_Check(exc_type))) {
            return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
        } else if (likely(PyTuple_Check(exc_type))) {
            return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
        } else {
        }
    }
    return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
    assert(PyExceptionClass_Check(exc_type1));
    assert(PyExceptionClass_Check(exc_type2));
    if (likely(err == exc_type1 || err == exc_type2)) return 1;
    if (likely(PyExceptionClass_Check(err))) {
        return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
    }
    return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif

/* RaiseException */
    #if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
                        CYTHON_UNUSED PyObject *cause) {
    __Pyx_PyThreadState_declare
    Py_XINCREF(type);
    if (!value || value == Py_None)
        value = NULL;
    else
        Py_INCREF(value);
    if (!tb || tb == Py_None)
        tb = NULL;
    else {
        Py_INCREF(tb);
        if (!PyTraceBack_Check(tb)) {
            PyErr_SetString(PyExc_TypeError,
                "raise: arg 3 must be a traceback or None");
            goto raise_error;
        }
    }
    if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
        if (!value) {
            Py_INCREF(Py_None);
            value = Py_None;
        }
#endif
        PyErr_NormalizeException(&type, &value, &tb);
    } else {
        if (value) {
            PyErr_SetString(PyExc_TypeError,
                "instance exception may not have a separate value");
            goto raise_error;
        }
        value = type;
        type = (PyObject*) Py_TYPE(type);
        Py_INCREF(type);
        if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
            PyErr_SetString(PyExc_TypeError,
                "raise: exception class must be a subclass of BaseException");
            goto raise_error;
        }
    }
    __Pyx_PyThreadState_assign
    __Pyx_ErrRestore(type, value, tb);
    return;
raise_error:
    Py_XDECREF(value);
    Py_XDECREF(type);
    Py_XDECREF(tb);
    return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
    PyObject* owned_instance = NULL;
    if (tb == Py_None) {
        tb = 0;
    } else if (tb && !PyTraceBack_Check(tb)) {
        PyErr_SetString(PyExc_TypeError,
            "raise: arg 3 must be a traceback or None");
        goto bad;
    }
    if (value == Py_None)
        value = 0;
    if (PyExceptionInstance_Check(type)) {
        if (value) {
            PyErr_SetString(PyExc_TypeError,
                "instance exception may not have a separate value");
            goto bad;
        }
        value = type;
        type = (PyObject*) Py_TYPE(value);
    } else if (PyExceptionClass_Check(type)) {
        PyObject *instance_class = NULL;
        if (value && PyExceptionInstance_Check(value)) {
            instance_class = (PyObject*) Py_TYPE(value);
            if (instance_class != type) {
                int is_subclass = PyObject_IsSubclass(instance_class, type);
                if (!is_subclass) {
                    instance_class = NULL;
                } else if (unlikely(is_subclass == -1)) {
                    goto bad;
                } else {
                    type = instance_class;
                }
            }
        }
        if (!instance_class) {
            PyObject *args;
            if (!value)
                args = PyTuple_New(0);
            else if (PyTuple_Check(value)) {
                Py_INCREF(value);
                args = value;
            } else
                args = PyTuple_Pack(1, value);
            if (!args)
                goto bad;
            owned_instance = PyObject_Call(type, args, NULL);
            Py_DECREF(args);
            if (!owned_instance)
                goto bad;
            value = owned_instance;
            if (!PyExceptionInstance_Check(value)) {
                PyErr_Format(PyExc_TypeError,
                             "calling %R should have returned an instance of "
                             "BaseException, not %R",
                             type, Py_TYPE(value));
                goto bad;
            }
        }
    } else {
        PyErr_SetString(PyExc_TypeError,
            "raise: exception class must be a subclass of BaseException");
        goto bad;
    }
    if (cause) {
        PyObject *fixed_cause;
        if (cause == Py_None) {
            fixed_cause = NULL;
        } else if (PyExceptionClass_Check(cause)) {
            fixed_cause = PyObject_CallObject(cause, NULL);
            if (fixed_cause == NULL)
                goto bad;
        } else if (PyExceptionInstance_Check(cause)) {
            fixed_cause = cause;
            Py_INCREF(fixed_cause);
        } else {
            PyErr_SetString(PyExc_TypeError,
                            "exception causes must derive from "
                            "BaseException");
            goto bad;
        }
        PyException_SetCause(value, fixed_cause);
    }
    PyErr_SetObject(type, value);
    if (tb) {
#if CYTHON_COMPILING_IN_PYPY
        PyObject *tmp_type, *tmp_value, *tmp_tb;
        PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
        Py_INCREF(tb);
        PyErr_Restore(tmp_type, tmp_value, tb);
        Py_XDECREF(tmp_tb);
#else
        PyThreadState *tstate = __Pyx_PyThreadState_Current;
        PyObject* tmp_tb = tstate->curexc_traceback;
        if (tb != tmp_tb) {
            Py_INCREF(tb);
            tstate->curexc_traceback = tb;
            Py_XDECREF(tmp_tb);
        }
#endif
    }
bad:
    Py_XDECREF(owned_instance);
    return;
}
#endif

/* GetTopmostException */
    #if CYTHON_USE_EXC_INFO_STACK
static _PyErr_StackItem *
__Pyx_PyErr_GetTopmostException(PyThreadState *tstate)
{
    _PyErr_StackItem *exc_info = tstate->exc_info;
    while ((exc_info->exc_type == NULL || exc_info->exc_type == Py_None) &&
           exc_info->previous_item != NULL)
    {
        exc_info = exc_info->previous_item;
    }
    return exc_info;
}
#endif

/* SaveResetException */
    #if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
    #if CYTHON_USE_EXC_INFO_STACK
    _PyErr_StackItem *exc_info = __Pyx_PyErr_GetTopmostException(tstate);
    *type = exc_info->exc_type;
    *value = exc_info->exc_value;
    *tb = exc_info->exc_traceback;
    #else
    *type = tstate->exc_type;
    *value = tstate->exc_value;
    *tb = tstate->exc_traceback;
    #endif
    Py_XINCREF(*type);
    Py_XINCREF(*value);
    Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    #if CYTHON_USE_EXC_INFO_STACK
    _PyErr_StackItem *exc_info = tstate->exc_info;
    tmp_type = exc_info->exc_type;
    tmp_value = exc_info->exc_value;
    tmp_tb = exc_info->exc_traceback;
    exc_info->exc_type = type;
    exc_info->exc_value = value;
    exc_info->exc_traceback = tb;
    #else
    tmp_type = tstate->exc_type;
    tmp_value = tstate->exc_value;
    tmp_tb = tstate->exc_traceback;
    tstate->exc_type = type;
    tstate->exc_value = value;
    tstate->exc_traceback = tb;
    #endif
    Py_XDECREF(tmp_type);
    Py_XDECREF(tmp_value);
    Py_XDECREF(tmp_tb);
}
#endif

/* SwapException */
    #if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSwap(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    #if CYTHON_USE_EXC_INFO_STACK
    _PyErr_StackItem *exc_info = tstate->exc_info;
    tmp_type = exc_info->exc_type;
    tmp_value = exc_info->exc_value;
    tmp_tb = exc_info->exc_traceback;
    exc_info->exc_type = *type;
    exc_info->exc_value = *value;
    exc_info->exc_traceback = *tb;
    #else
    tmp_type = tstate->exc_type;
    tmp_value = tstate->exc_value;
    tmp_tb = tstate->exc_traceback;
    tstate->exc_type = *type;
    tstate->exc_value = *value;
    tstate->exc_traceback = *tb;
    #endif
    *type = tmp_type;
    *value = tmp_value;
    *tb = tmp_tb;
}
#else
static CYTHON_INLINE void __Pyx_ExceptionSwap(PyObject **type, PyObject **value, PyObject **tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    PyErr_GetExcInfo(&tmp_type, &tmp_value, &tmp_tb);
    PyErr_SetExcInfo(*type, *value, *tb);
    *type = tmp_type;
    *value = tmp_value;
    *tb = tmp_tb;
}
#endif

/* CoroutineBase */
    #include <structmember.h>
#include <frameobject.h>
#define __Pyx_Coroutine_Undelegate(gen) Py_CLEAR((gen)->yieldfrom)
static int __Pyx_PyGen__FetchStopIterationValue(CYTHON_UNUSED PyThreadState *__pyx_tstate, PyObject **pvalue) {
    PyObject *et, *ev, *tb;
    PyObject *value = NULL;
    __Pyx_ErrFetch(&et, &ev, &tb);
    if (!et) {
        Py_XDECREF(tb);
        Py_XDECREF(ev);
        Py_INCREF(Py_None);
        *pvalue = Py_None;
        return 0;
    }
    if (likely(et == PyExc_StopIteration)) {
        if (!ev) {
            Py_INCREF(Py_None);
            value = Py_None;
        }
#if PY_VERSION_HEX >= 0x030300A0
        else if (Py_TYPE(ev) == (PyTypeObject*)PyExc_StopIteration) {
            value = ((PyStopIterationObject *)ev)->value;
            Py_INCREF(value);
            Py_DECREF(ev);
        }
#endif
        else if (unlikely(PyTuple_Check(ev))) {
            if (PyTuple_GET_SIZE(ev) >= 1) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
                value = PyTuple_GET_ITEM(ev, 0);
                Py_INCREF(value);
#else
                value = PySequence_ITEM(ev, 0);
#endif
            } else {
                Py_INCREF(Py_None);
                value = Py_None;
            }
            Py_DECREF(ev);
        }
        else if (!__Pyx_TypeCheck(ev, (PyTypeObject*)PyExc_StopIteration)) {
            value = ev;
        }
        if (likely(value)) {
            Py_XDECREF(tb);
            Py_DECREF(et);
            *pvalue = value;
            return 0;
        }
    } else if (!__Pyx_PyErr_GivenExceptionMatches(et, PyExc_StopIteration)) {
        __Pyx_ErrRestore(et, ev, tb);
        return -1;
    }
    PyErr_NormalizeException(&et, &ev, &tb);
    if (unlikely(!PyObject_TypeCheck(ev, (PyTypeObject*)PyExc_StopIteration))) {
        __Pyx_ErrRestore(et, ev, tb);
        return -1;
    }
    Py_XDECREF(tb);
    Py_DECREF(et);
#if PY_VERSION_HEX >= 0x030300A0
    value = ((PyStopIterationObject *)ev)->value;
    Py_INCREF(value);
    Py_DECREF(ev);
#else
    {
        PyObject* args = __Pyx_PyObject_GetAttrStr(ev, __pyx_n_s_args);
        Py_DECREF(ev);
        if (likely(args)) {
            value = PySequence_GetItem(args, 0);
            Py_DECREF(args);
        }
        if (unlikely(!value)) {
            __Pyx_ErrRestore(NULL, NULL, NULL);
            Py_INCREF(Py_None);
            value = Py_None;
        }
    }
#endif
    *pvalue = value;
    return 0;
}
static CYTHON_INLINE
void __Pyx_Coroutine_ExceptionClear(__Pyx_ExcInfoStruct *exc_state) {
    PyObject *t, *v, *tb;
    t = exc_state->exc_type;
    v = exc_state->exc_value;
    tb = exc_state->exc_traceback;
    exc_state->exc_type = NULL;
    exc_state->exc_value = NULL;
    exc_state->exc_traceback = NULL;
    Py_XDECREF(t);
    Py_XDECREF(v);
    Py_XDECREF(tb);
}
#define __Pyx_Coroutine_AlreadyRunningError(gen)  (__Pyx__Coroutine_AlreadyRunningError(gen), (PyObject*)NULL)
static void __Pyx__Coroutine_AlreadyRunningError(CYTHON_UNUSED __pyx_CoroutineObject *gen) {
    const char *msg;
    if ((0)) {
    #ifdef __Pyx_Coroutine_USED
    } else if (__Pyx_Coroutine_Check((PyObject*)gen)) {
        msg = "coroutine already executing";
    #endif
    #ifdef __Pyx_AsyncGen_USED
    } else if (__Pyx_AsyncGen_CheckExact((PyObject*)gen)) {
        msg = "async generator already executing";
    #endif
    } else {
        msg = "generator already executing";
    }
    PyErr_SetString(PyExc_ValueError, msg);
}
#define __Pyx_Coroutine_NotStartedError(gen)  (__Pyx__Coroutine_NotStartedError(gen), (PyObject*)NULL)
static void __Pyx__Coroutine_NotStartedError(CYTHON_UNUSED PyObject *gen) {
    const char *msg;
    if ((0)) {
    #ifdef __Pyx_Coroutine_USED
    } else if (__Pyx_Coroutine_Check(gen)) {
        msg = "can't send non-None value to a just-started coroutine";
    #endif
    #ifdef __Pyx_AsyncGen_USED
    } else if (__Pyx_AsyncGen_CheckExact(gen)) {
        msg = "can't send non-None value to a just-started async generator";
    #endif
    } else {
        msg = "can't send non-None value to a just-started generator";
    }
    PyErr_SetString(PyExc_TypeError, msg);
}
#define __Pyx_Coroutine_AlreadyTerminatedError(gen, value, closing)  (__Pyx__Coroutine_AlreadyTerminatedError(gen, value, closing), (PyObject*)NULL)
static void __Pyx__Coroutine_AlreadyTerminatedError(CYTHON_UNUSED PyObject *gen, PyObject *value, CYTHON_UNUSED int closing) {
    #ifdef __Pyx_Coroutine_USED
    if (!closing && __Pyx_Coroutine_Check(gen)) {
        PyErr_SetString(PyExc_RuntimeError, "cannot reuse already awaited coroutine");
    } else
    #endif
    if (value) {
        #ifdef __Pyx_AsyncGen_USED
        if (__Pyx_AsyncGen_CheckExact(gen))
            PyErr_SetNone(__Pyx_PyExc_StopAsyncIteration);
        else
        #endif
        PyErr_SetNone(PyExc_StopIteration);
    }
}
static
PyObject *__Pyx_Coroutine_SendEx(__pyx_CoroutineObject *self, PyObject *value, int closing) {
    __Pyx_PyThreadState_declare
    PyThreadState *tstate;
    __Pyx_ExcInfoStruct *exc_state;
    PyObject *retval;
    assert(!self->is_running);
    if (unlikely(self->resume_label == 0)) {
        if (unlikely(value && value != Py_None)) {
            return __Pyx_Coroutine_NotStartedError((PyObject*)self);
        }
    }
    if (unlikely(self->resume_label == -1)) {
        return __Pyx_Coroutine_AlreadyTerminatedError((PyObject*)self, value, closing);
    }
#if CYTHON_FAST_THREAD_STATE
    __Pyx_PyThreadState_assign
    tstate = __pyx_tstate;
#else
    tstate = __Pyx_PyThreadState_Current;
#endif
    exc_state = &self->gi_exc_state;
    if (exc_state->exc_type) {
        #if CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_PYSTON
        #else
        if (exc_state->exc_traceback) {
            PyTracebackObject *tb = (PyTracebackObject *) exc_state->exc_traceback;
            PyFrameObject *f = tb->tb_frame;
            Py_XINCREF(tstate->frame);
            assert(f->f_back == NULL);
            f->f_back = tstate->frame;
        }
        #endif
    }
#if CYTHON_USE_EXC_INFO_STACK
    exc_state->previous_item = tstate->exc_info;
    tstate->exc_info = exc_state;
#else
    if (exc_state->exc_type) {
        __Pyx_ExceptionSwap(&exc_state->exc_type, &exc_state->exc_value, &exc_state->exc_traceback);
    } else {
        __Pyx_Coroutine_ExceptionClear(exc_state);
        __Pyx_ExceptionSave(&exc_state->exc_type, &exc_state->exc_value, &exc_state->exc_traceback);
    }
#endif
    self->is_running = 1;
    retval = self->body((PyObject *) self, tstate, value);
    self->is_running = 0;
#if CYTHON_USE_EXC_INFO_STACK
    exc_state = &self->gi_exc_state;
    tstate->exc_info = exc_state->previous_item;
    exc_state->previous_item = NULL;
    __Pyx_Coroutine_ResetFrameBackpointer(exc_state);
#endif
    return retval;
}
static CYTHON_INLINE void __Pyx_Coroutine_ResetFrameBackpointer(__Pyx_ExcInfoStruct *exc_state) {
    PyObject *exc_tb = exc_state->exc_traceback;
    if (likely(exc_tb)) {
#if CYTHON_COMPILING_IN_PYPY || CYTHON_COMPILING_IN_PYSTON
#else
        PyTracebackObject *tb = (PyTracebackObject *) exc_tb;
        PyFrameObject *f = tb->tb_frame;
        Py_CLEAR(f->f_back);
#endif
    }
}
static CYTHON_INLINE
PyObject *__Pyx_Coroutine_MethodReturn(CYTHON_UNUSED PyObject* gen, PyObject *retval) {
    if (unlikely(!retval)) {
        __Pyx_PyThreadState_declare
        __Pyx_PyThreadState_assign
        if (!__Pyx_PyErr_Occurred()) {
            PyObject *exc = PyExc_StopIteration;
            #ifdef __Pyx_AsyncGen_USED
            if (__Pyx_AsyncGen_CheckExact(gen))
                exc = __Pyx_PyExc_StopAsyncIteration;
            #endif
            __Pyx_PyErr_SetNone(exc);
        }
    }
    return retval;
}
static CYTHON_INLINE
PyObject *__Pyx_Coroutine_FinishDelegation(__pyx_CoroutineObject *gen) {
    PyObject *ret;
    PyObject *val = NULL;
    __Pyx_Coroutine_Undelegate(gen);
    __Pyx_PyGen__FetchStopIterationValue(__Pyx_PyThreadState_Current, &val);
    ret = __Pyx_Coroutine_SendEx(gen, val, 0);
    Py_XDECREF(val);
    return ret;
}
static PyObject *__Pyx_Coroutine_Send(PyObject *self, PyObject *value) {
    PyObject *retval;
    __pyx_CoroutineObject *gen = (__pyx_CoroutineObject*) self;
    PyObject *yf = gen->yieldfrom;
    if (unlikely(gen->is_running))
        return __Pyx_Coroutine_AlreadyRunningError(gen);
    if (yf) {
        PyObject *ret;
        gen->is_running = 1;
        #ifdef __Pyx_Generator_USED
        if (__Pyx_Generator_CheckExact(yf)) {
            ret = __Pyx_Coroutine_Send(yf, value);
        } else
        #endif
        #ifdef __Pyx_Coroutine_USED
        if (__Pyx_Coroutine_Check(yf)) {
            ret = __Pyx_Coroutine_Send(yf, value);
        } else
        #endif
        #ifdef __Pyx_AsyncGen_USED
        if (__pyx_PyAsyncGenASend_CheckExact(yf)) {
            ret = __Pyx_async_gen_asend_send(yf, value);
        } else
        #endif
        #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03030000 && (defined(__linux__) || PY_VERSION_HEX >= 0x030600B3)
        if (PyGen_CheckExact(yf)) {
            ret = _PyGen_Send((PyGenObject*)yf, value == Py_None ? NULL : value);
        } else
        #endif
        #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03050000 && defined(PyCoro_CheckExact) && (defined(__linux__) || PY_VERSION_HEX >= 0x030600B3)
        if (PyCoro_CheckExact(yf)) {
            ret = _PyGen_Send((PyGenObject*)yf, value == Py_None ? NULL : value);
        } else
        #endif
        {
            if (value == Py_None)
                ret = Py_TYPE(yf)->tp_iternext(yf);
            else
                ret = __Pyx_PyObject_CallMethod1(yf, __pyx_n_s_send, value);
        }
        gen->is_running = 0;
        if (likely(ret)) {
            return ret;
        }
        retval = __Pyx_Coroutine_FinishDelegation(gen);
    } else {
        retval = __Pyx_Coroutine_SendEx(gen, value, 0);
    }
    return __Pyx_Coroutine_MethodReturn(self, retval);
}
static int __Pyx_Coroutine_CloseIter(__pyx_CoroutineObject *gen, PyObject *yf) {
    PyObject *retval = NULL;
    int err = 0;
    #ifdef __Pyx_Generator_USED
    if (__Pyx_Generator_CheckExact(yf)) {
        retval = __Pyx_Coroutine_Close(yf);
        if (!retval)
            return -1;
    } else
    #endif
    #ifdef __Pyx_Coroutine_USED
    if (__Pyx_Coroutine_Check(yf)) {
        retval = __Pyx_Coroutine_Close(yf);
        if (!retval)
            return -1;
    } else
    if (__Pyx_CoroutineAwait_CheckExact(yf)) {
        retval = __Pyx_CoroutineAwait_Close((__pyx_CoroutineAwaitObject*)yf, NULL);
        if (!retval)
            return -1;
    } else
    #endif
    #ifdef __Pyx_AsyncGen_USED
    if (__pyx_PyAsyncGenASend_CheckExact(yf)) {
        retval = __Pyx_async_gen_asend_close(yf, NULL);
    } else
    if (__pyx_PyAsyncGenAThrow_CheckExact(yf)) {
        retval = __Pyx_async_gen_athrow_close(yf, NULL);
    } else
    #endif
    {
        PyObject *meth;
        gen->is_running = 1;
        meth = __Pyx_PyObject_GetAttrStr(yf, __pyx_n_s_close);
        if (unlikely(!meth)) {
            if (!PyErr_ExceptionMatches(PyExc_AttributeError)) {
                PyErr_WriteUnraisable(yf);
            }
            PyErr_Clear();
        } else {
            retval = PyObject_CallFunction(meth, NULL);
            Py_DECREF(meth);
            if (!retval)
                err = -1;
        }
        gen->is_running = 0;
    }
    Py_XDECREF(retval);
    return err;
}
static PyObject *__Pyx_Generator_Next(PyObject *self) {
    __pyx_CoroutineObject *gen = (__pyx_CoroutineObject*) self;
    PyObject *yf = gen->yieldfrom;
    if (unlikely(gen->is_running))
        return __Pyx_Coroutine_AlreadyRunningError(gen);
    if (yf) {
        PyObject *ret;
        gen->is_running = 1;
        #ifdef __Pyx_Generator_USED
        if (__Pyx_Generator_CheckExact(yf)) {
            ret = __Pyx_Generator_Next(yf);
        } else
        #endif
        #if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x03030000 && (defined(__linux__) || PY_VERSION_HEX >= 0x030600B3)
        if (PyGen_CheckExact(yf)) {
            ret = _PyGen_Send((PyGenObject*)yf, NULL);
        } else
        #endif
        #ifdef __Pyx_Coroutine_USED
        if (__Pyx_Coroutine_Check(yf)) {
            ret = __Pyx_Coroutine_Send(yf, Py_None);
        } else
        #endif
            ret = Py_TYPE(yf)->tp_iternext(yf);
        gen->is_running = 0;
        if (likely(ret)) {
            return ret;
        }
        return __Pyx_Coroutine_FinishDelegation(gen);
    }
    return __Pyx_Coroutine_SendEx(gen, Py_None, 0);
}
static PyObject *__Pyx_Coroutine_Close_Method(PyObject *self, CYTHON_UNUSED PyObject *arg) {
    return __Pyx_Coroutine_Close(self);
}
static PyObject *__Pyx_Coroutine_Close(PyObject *self) {
    __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
    PyObject *retval, *raised_exception;
    PyObject *yf = gen->yieldfrom;
    int err = 0;
    if (unlikely(gen->is_running))
        return __Pyx_Coroutine_AlreadyRunningError(gen);
    if (yf) {
        Py_INCREF(yf);
        err = __Pyx_Coroutine_CloseIter(gen, yf);
        __Pyx_Coroutine_Undelegate(gen);
        Py_DECREF(yf);
    }
    if (err == 0)
        PyErr_SetNone(PyExc_GeneratorExit);
    retval = __Pyx_Coroutine_SendEx(gen, NULL, 1);
    if (unlikely(retval)) {
        const char *msg;
        Py_DECREF(retval);
        if ((0)) {
        #ifdef __Pyx_Coroutine_USED
        } else if (__Pyx_Coroutine_Check(self)) {
            msg = "coroutine ignored GeneratorExit";
        #endif
        #ifdef __Pyx_AsyncGen_USED
        } else if (__Pyx_AsyncGen_CheckExact(self)) {
#if PY_VERSION_HEX < 0x03060000
            msg = "async generator ignored GeneratorExit - might require Python 3.6+ finalisation (PEP 525)";
#else
            msg = "async generator ignored GeneratorExit";
#endif
        #endif
        } else {
            msg = "generator ignored GeneratorExit";
        }
        PyErr_SetString(PyExc_RuntimeError, msg);
        return NULL;
    }
    raised_exception = PyErr_Occurred();
    if (likely(!raised_exception || __Pyx_PyErr_GivenExceptionMatches2(raised_exception, PyExc_GeneratorExit, PyExc_StopIteration))) {
        if (raised_exception) PyErr_Clear();
        Py_INCREF(Py_None);
        return Py_None;
    }
    return NULL;
}
static PyObject *__Pyx__Coroutine_Throw(PyObject *self, PyObject *typ, PyObject *val, PyObject *tb,
                                        PyObject *args, int close_on_genexit) {
    __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
    PyObject *yf = gen->yieldfrom;
    if (unlikely(gen->is_running))
        return __Pyx_Coroutine_AlreadyRunningError(gen);
    if (yf) {
        PyObject *ret;
        Py_INCREF(yf);
        if (__Pyx_PyErr_GivenExceptionMatches(typ, PyExc_GeneratorExit) && close_on_genexit) {
            int err = __Pyx_Coroutine_CloseIter(gen, yf);
            Py_DECREF(yf);
            __Pyx_Coroutine_Undelegate(gen);
            if (err < 0)
                return __Pyx_Coroutine_MethodReturn(self, __Pyx_Coroutine_SendEx(gen, NULL, 0));
            goto throw_here;
        }
        gen->is_running = 1;
        if (0
        #ifdef __Pyx_Generator_USED
            || __Pyx_Generator_CheckExact(yf)
        #endif
        #ifdef __Pyx_Coroutine_USED
            || __Pyx_Coroutine_Check(yf)
        #endif
            ) {
            ret = __Pyx__Coroutine_Throw(yf, typ, val, tb, args, close_on_genexit);
        #ifdef __Pyx_Coroutine_USED
        } else if (__Pyx_CoroutineAwait_CheckExact(yf)) {
            ret = __Pyx__Coroutine_Throw(((__pyx_CoroutineAwaitObject*)yf)->coroutine, typ, val, tb, args, close_on_genexit);
        #endif
        } else {
            PyObject *meth = __Pyx_PyObject_GetAttrStr(yf, __pyx_n_s_throw);
            if (unlikely(!meth)) {
                Py_DECREF(yf);
                if (!PyErr_ExceptionMatches(PyExc_AttributeError)) {
                    gen->is_running = 0;
                    return NULL;
                }
                PyErr_Clear();
                __Pyx_Coroutine_Undelegate(gen);
                gen->is_running = 0;
                goto throw_here;
            }
            if (likely(args)) {
                ret = PyObject_CallObject(meth, args);
            } else {
                ret = PyObject_CallFunctionObjArgs(meth, typ, val, tb, NULL);
            }
            Py_DECREF(meth);
        }
        gen->is_running = 0;
        Py_DECREF(yf);
        if (!ret) {
            ret = __Pyx_Coroutine_FinishDelegation(gen);
        }
        return __Pyx_Coroutine_MethodReturn(self, ret);
    }
throw_here:
    __Pyx_Raise(typ, val, tb, NULL);
    return __Pyx_Coroutine_MethodReturn(self, __Pyx_Coroutine_SendEx(gen, NULL, 0));
}
static PyObject *__Pyx_Coroutine_Throw(PyObject *self, PyObject *args) {
    PyObject *typ;
    PyObject *val = NULL;
    PyObject *tb = NULL;
    if (!PyArg_UnpackTuple(args, (char *)"throw", 1, 3, &typ, &val, &tb))
        return NULL;
    return __Pyx__Coroutine_Throw(self, typ, val, tb, args, 1);
}
static CYTHON_INLINE int __Pyx_Coroutine_traverse_excstate(__Pyx_ExcInfoStruct *exc_state, visitproc visit, void *arg) {
    Py_VISIT(exc_state->exc_type);
    Py_VISIT(exc_state->exc_value);
    Py_VISIT(exc_state->exc_traceback);
    return 0;
}
static int __Pyx_Coroutine_traverse(__pyx_CoroutineObject *gen, visitproc visit, void *arg) {
    Py_VISIT(gen->closure);
    Py_VISIT(gen->classobj);
    Py_VISIT(gen->yieldfrom);
    return __Pyx_Coroutine_traverse_excstate(&gen->gi_exc_state, visit, arg);
}
static int __Pyx_Coroutine_clear(PyObject *self) {
    __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
    Py_CLEAR(gen->closure);
    Py_CLEAR(gen->classobj);
    Py_CLEAR(gen->yieldfrom);
    __Pyx_Coroutine_ExceptionClear(&gen->gi_exc_state);
#ifdef __Pyx_AsyncGen_USED
    if (__Pyx_AsyncGen_CheckExact(self)) {
        Py_CLEAR(((__pyx_PyAsyncGenObject*)gen)->ag_finalizer);
    }
#endif
    Py_CLEAR(gen->gi_code);
    Py_CLEAR(gen->gi_name);
    Py_CLEAR(gen->gi_qualname);
    Py_CLEAR(gen->gi_modulename);
    return 0;
}
static void __Pyx_Coroutine_dealloc(PyObject *self) {
    __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
    PyObject_GC_UnTrack(gen);
    if (gen->gi_weakreflist != NULL)
        PyObject_ClearWeakRefs(self);
    if (gen->resume_label >= 0) {
        PyObject_GC_Track(self);
#if PY_VERSION_HEX >= 0x030400a1 && CYTHON_USE_TP_FINALIZE
        if (PyObject_CallFinalizerFromDealloc(self))
#else
        Py_TYPE(gen)->tp_del(self);
        if (self->ob_refcnt > 0)
#endif
        {
            return;
        }
        PyObject_GC_UnTrack(self);
    }
#ifdef __Pyx_AsyncGen_USED
    if (__Pyx_AsyncGen_CheckExact(self)) {
        /* We have to handle this case for asynchronous generators
           right here, because this code has to be between UNTRACK
           and GC_Del. */
        Py_CLEAR(((__pyx_PyAsyncGenObject*)self)->ag_finalizer);
    }
#endif
    __Pyx_Coroutine_clear(self);
    PyObject_GC_Del(gen);
}
static void __Pyx_Coroutine_del(PyObject *self) {
    PyObject *error_type, *error_value, *error_traceback;
    __pyx_CoroutineObject *gen = (__pyx_CoroutineObject *) self;
    __Pyx_PyThreadState_declare
    if (gen->resume_label < 0) {
        return;
    }
#if !CYTHON_USE_TP_FINALIZE
    assert(self->ob_refcnt == 0);
    self->ob_refcnt = 1;
#endif
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&error_type, &error_value, &error_traceback);
#ifdef __Pyx_AsyncGen_USED
    if (__Pyx_AsyncGen_CheckExact(self)) {
        __pyx_PyAsyncGenObject *agen = (__pyx_PyAsyncGenObject*)self;
        PyObject *finalizer = agen->ag_finalizer;
        if (finalizer && !agen->ag_closed) {
            PyObject *res = __Pyx_PyObject_CallOneArg(finalizer, self);
            if (unlikely(!res)) {
                PyErr_WriteUnraisable(self);
            } else {
                Py_DECREF(res);
            }
            __Pyx_ErrRestore(error_type, error_value, error_traceback);
            return;
        }
    }
#endif
    if (unlikely(gen->resume_label == 0 && !error_value)) {
#ifdef __Pyx_Coroutine_USED
#ifdef __Pyx_Generator_USED
    if (!__Pyx_Generator_CheckExact(self))
#endif
        {
        PyObject_GC_UnTrack(self);
#if PY_MAJOR_VERSION >= 3  || defined(PyErr_WarnFormat)
        if (unlikely(PyErr_WarnFormat(PyExc_RuntimeWarning, 1, "coroutine '%.50S' was never awaited", gen->gi_qualname) < 0))
            PyErr_WriteUnraisable(self);
#else
        {PyObject *msg;
        char *cmsg;
        #if CYTHON_COMPILING_IN_PYPY
        msg = NULL;
        cmsg = (char*) "coroutine was never awaited";
        #else
        char *cname;
        PyObject *qualname;
        qualname = gen->gi_qualname;
        cname = PyString_AS_STRING(qualname);
        msg = PyString_FromFormat("coroutine '%.50s' was never awaited", cname);
        if (unlikely(!msg)) {
            PyErr_Clear();
            cmsg = (char*) "coroutine was never awaited";
        } else {
            cmsg = PyString_AS_STRING(msg);
        }
        #endif
        if (unlikely(PyErr_WarnEx(PyExc_RuntimeWarning, cmsg, 1) < 0))
            PyErr_WriteUnraisable(self);
        Py_XDECREF(msg);}
#endif
        PyObject_GC_Track(self);
        }
#endif
    } else {
        PyObject *res = __Pyx_Coroutine_Close(self);
        if (unlikely(!res)) {
            if (PyErr_Occurred())
                PyErr_WriteUnraisable(self);
        } else {
            Py_DECREF(res);
        }
    }
    __Pyx_ErrRestore(error_type, error_value, error_traceback);
#if !CYTHON_USE_TP_FINALIZE
    assert(self->ob_refcnt > 0);
    if (--self->ob_refcnt == 0) {
        return;
    }
    {
        Py_ssize_t refcnt = self->ob_refcnt;
        _Py_NewReference(self);
        self->ob_refcnt = refcnt;
    }
#if CYTHON_COMPILING_IN_CPYTHON
    assert(PyType_IS_GC(self->ob_type) &&
           _Py_AS_GC(self)->gc.gc_refs != _PyGC_REFS_UNTRACKED);
    _Py_DEC_REFTOTAL;
#endif
#ifdef COUNT_ALLOCS
    --Py_TYPE(self)->tp_frees;
    --Py_TYPE(self)->tp_allocs;
#endif
#endif
}
static PyObject *
__Pyx_Coroutine_get_name(__pyx_CoroutineObject *self, CYTHON_UNUSED void *context)
{
    PyObject *name = self->gi_name;
    if (unlikely(!name)) name = Py_None;
    Py_INCREF(name);
    return name;
}
static int
__Pyx_Coroutine_set_name(__pyx_CoroutineObject *self, PyObject *value, CYTHON_UNUSED void *context)
{
    PyObject *tmp;
#if PY_MAJOR_VERSION >= 3
    if (unlikely(value == NULL || !PyUnicode_Check(value)))
#else
    if (unlikely(value == NULL || !PyString_Check(value)))
#endif
    {
        PyErr_SetString(PyExc_TypeError,
                        "__name__ must be set to a string object");
        return -1;
    }
    tmp = self->gi_name;
    Py_INCREF(value);
    self->gi_name = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_Coroutine_get_qualname(__pyx_CoroutineObject *self, CYTHON_UNUSED void *context)
{
    PyObject *name = self->gi_qualname;
    if (unlikely(!name)) name = Py_None;
    Py_INCREF(name);
    return name;
}
static int
__Pyx_Coroutine_set_qualname(__pyx_CoroutineObject *self, PyObject *value, CYTHON_UNUSED void *context)
{
    PyObject *tmp;
#if PY_MAJOR_VERSION >= 3
    if (unlikely(value == NULL || !PyUnicode_Check(value)))
#else
    if (unlikely(value == NULL || !PyString_Check(value)))
#endif
    {
        PyErr_SetString(PyExc_TypeError,
                        "__qualname__ must be set to a string object");
        return -1;
    }
    tmp = self->gi_qualname;
    Py_INCREF(value);
    self->gi_qualname = value;
    Py_XDECREF(tmp);
    return 0;
}
static __pyx_CoroutineObject *__Pyx__Coroutine_New(
            PyTypeObject* type, __pyx_coroutine_body_t body, PyObject *code, PyObject *closure,
            PyObject *name, PyObject *qualname, PyObject *module_name) {
    __pyx_CoroutineObject *gen = PyObject_GC_New(__pyx_CoroutineObject, type);
    if (unlikely(!gen))
        return NULL;
    return __Pyx__Coroutine_NewInit(gen, body, code, closure, name, qualname, module_name);
}
static __pyx_CoroutineObject *__Pyx__Coroutine_NewInit(
            __pyx_CoroutineObject *gen, __pyx_coroutine_body_t body, PyObject *code, PyObject *closure,
            PyObject *name, PyObject *qualname, PyObject *module_name) {
    gen->body = body;
    gen->closure = closure;
    Py_XINCREF(closure);
    gen->is_running = 0;
    gen->resume_label = 0;
    gen->classobj = NULL;
    gen->yieldfrom = NULL;
    gen->gi_exc_state.exc_type = NULL;
    gen->gi_exc_state.exc_value = NULL;
    gen->gi_exc_state.exc_traceback = NULL;
#if CYTHON_USE_EXC_INFO_STACK
    gen->gi_exc_state.previous_item = NULL;
#endif
    gen->gi_weakreflist = NULL;
    Py_XINCREF(qualname);
    gen->gi_qualname = qualname;
    Py_XINCREF(name);
    gen->gi_name = name;
    Py_XINCREF(module_name);
    gen->gi_modulename = module_name;
    Py_XINCREF(code);
    gen->gi_code = code;
    PyObject_GC_Track(gen);
    return gen;
}

/* PatchModuleWithCoroutine */
    static PyObject* __Pyx_Coroutine_patch_module(PyObject* module, const char* py_code) {
#if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)
    int result;
    PyObject *globals, *result_obj;
    globals = PyDict_New();  if (unlikely(!globals)) goto ignore;
    result = PyDict_SetItemString(globals, "_cython_coroutine_type",
    #ifdef __Pyx_Coroutine_USED
        (PyObject*)__pyx_CoroutineType);
    #else
        Py_None);
    #endif
    if (unlikely(result < 0)) goto ignore;
    result = PyDict_SetItemString(globals, "_cython_generator_type",
    #ifdef __Pyx_Generator_USED
        (PyObject*)__pyx_GeneratorType);
    #else
        Py_None);
    #endif
    if (unlikely(result < 0)) goto ignore;
    if (unlikely(PyDict_SetItemString(globals, "_module", module) < 0)) goto ignore;
    if (unlikely(PyDict_SetItemString(globals, "__builtins__", __pyx_b) < 0)) goto ignore;
    result_obj = PyRun_String(py_code, Py_file_input, globals, globals);
    if (unlikely(!result_obj)) goto ignore;
    Py_DECREF(result_obj);
    Py_DECREF(globals);
    return module;
ignore:
    Py_XDECREF(globals);
    PyErr_WriteUnraisable(module);
    if (unlikely(PyErr_WarnEx(PyExc_RuntimeWarning, "Cython module failed to patch module with custom type", 1) < 0)) {
        Py_DECREF(module);
        module = NULL;
    }
#else
    py_code++;
#endif
    return module;
}

/* PatchGeneratorABC */
    #ifndef CYTHON_REGISTER_ABCS
#define CYTHON_REGISTER_ABCS 1
#endif
#if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)
static PyObject* __Pyx_patch_abc_module(PyObject *module);
static PyObject* __Pyx_patch_abc_module(PyObject *module) {
    module = __Pyx_Coroutine_patch_module(
        module, ""
"if _cython_generator_type is not None:\n"
"    try: Generator = _module.Generator\n"
"    except AttributeError: pass\n"
"    else: Generator.register(_cython_generator_type)\n"
"if _cython_coroutine_type is not None:\n"
"    try: Coroutine = _module.Coroutine\n"
"    except AttributeError: pass\n"
"    else: Coroutine.register(_cython_coroutine_type)\n"
    );
    return module;
}
#endif
static int __Pyx_patch_abc(void) {
#if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)
    static int abc_patched = 0;
    if (CYTHON_REGISTER_ABCS && !abc_patched) {
        PyObject *module;
        module = PyImport_ImportModule((PY_MAJOR_VERSION >= 3) ? "collections.abc" : "collections");
        if (!module) {
            PyErr_WriteUnraisable(NULL);
            if (unlikely(PyErr_WarnEx(PyExc_RuntimeWarning,
                    ((PY_MAJOR_VERSION >= 3) ?
                        "Cython module failed to register with collections.abc module" :
                        "Cython module failed to register with collections module"), 1) < 0)) {
                return -1;
            }
        } else {
            module = __Pyx_patch_abc_module(module);
            abc_patched = 1;
            if (unlikely(!module))
                return -1;
            Py_DECREF(module);
        }
        module = PyImport_ImportModule("backports_abc");
        if (module) {
            module = __Pyx_patch_abc_module(module);
            Py_XDECREF(module);
        }
        if (!module) {
            PyErr_Clear();
        }
    }
#else
    if ((0)) __Pyx_Coroutine_patch_module(NULL, NULL);
#endif
    return 0;
}

/* Generator */
    static PyMethodDef __pyx_Generator_methods[] = {
    {"send", (PyCFunction) __Pyx_Coroutine_Send, METH_O,
     (char*) PyDoc_STR("send(arg) -> send 'arg' into generator,\nreturn next yielded value or raise StopIteration.")},
    {"throw", (PyCFunction) __Pyx_Coroutine_Throw, METH_VARARGS,
     (char*) PyDoc_STR("throw(typ[,val[,tb]]) -> raise exception in generator,\nreturn next yielded value or raise StopIteration.")},
    {"close", (PyCFunction) __Pyx_Coroutine_Close_Method, METH_NOARGS,
     (char*) PyDoc_STR("close() -> raise GeneratorExit inside generator.")},
    {0, 0, 0, 0}
};
static PyMemberDef __pyx_Generator_memberlist[] = {
    {(char *) "gi_running", T_BOOL, offsetof(__pyx_CoroutineObject, is_running), READONLY, NULL},
    {(char*) "gi_yieldfrom", T_OBJECT, offsetof(__pyx_CoroutineObject, yieldfrom), READONLY,
     (char*) PyDoc_STR("object being iterated by 'yield from', or None")},
    {(char*) "gi_code", T_OBJECT, offsetof(__pyx_CoroutineObject, gi_code), READONLY, NULL},
    {0, 0, 0, 0, 0}
};
static PyGetSetDef __pyx_Generator_getsets[] = {
    {(char *) "__name__", (getter)__Pyx_Coroutine_get_name, (setter)__Pyx_Coroutine_set_name,
     (char*) PyDoc_STR("name of the generator"), 0},
    {(char *) "__qualname__", (getter)__Pyx_Coroutine_get_qualname, (setter)__Pyx_Coroutine_set_qualname,
     (char*) PyDoc_STR("qualified name of the generator"), 0},
    {0, 0, 0, 0, 0}
};
static PyTypeObject __pyx_GeneratorType_type = {
    PyVarObject_HEAD_INIT(0, 0)
    "generator",
    sizeof(__pyx_CoroutineObject),
    0,
    (destructor) __Pyx_Coroutine_dealloc,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC | Py_TPFLAGS_HAVE_FINALIZE,
    0,
    (traverseproc) __Pyx_Coroutine_traverse,
    0,
    0,
    offsetof(__pyx_CoroutineObject, gi_weakreflist),
    0,
    (iternextfunc) __Pyx_Generator_Next,
    __pyx_Generator_methods,
    __pyx_Generator_memberlist,
    __pyx_Generator_getsets,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
#if CYTHON_USE_TP_FINALIZE
    0,
#else
    __Pyx_Coroutine_del,
#endif
    0,
#if CYTHON_USE_TP_FINALIZE
    __Pyx_Coroutine_del,
#elif PY_VERSION_HEX >= 0x030400a1
    0,
#endif
};
static int __pyx_Generator_init(void) {
    __pyx_GeneratorType_type.tp_getattro = __Pyx_PyObject_GenericGetAttrNoDict;
    __pyx_GeneratorType_type.tp_iter = PyObject_SelfIter;
    __pyx_GeneratorType = __Pyx_FetchCommonType(&__pyx_GeneratorType_type);
    if (unlikely(!__pyx_GeneratorType)) {
        return -1;
    }
    return 0;
}

/* CheckBinaryVersion */
    static int __Pyx_check_binary_version(void) {
    char ctversion[4], rtversion[4];
    PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
    PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
    if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
        char message[200];
        PyOS_snprintf(message, sizeof(message),
                      "compiletime version %s of module '%.100s' "
                      "does not match runtime version %s",
                      ctversion, __Pyx_MODULE_NAME, rtversion);
        return PyErr_WarnEx(NULL, message, 1);
    }
    return 0;
}

/* FunctionImport */
    #ifndef __PYX_HAVE_RT_ImportFunction
#define __PYX_HAVE_RT_ImportFunction
static int __Pyx_ImportFunction(PyObject *module, const char *funcname, void (**f)(void), const char *sig) {
    PyObject *d = 0;
    PyObject *cobj = 0;
    union {
        void (*fp)(void);
        void *p;
    } tmp;
    d = PyObject_GetAttrString(module, (char *)"__pyx_capi__");
    if (!d)
        goto bad;
    cobj = PyDict_GetItemString(d, funcname);
    if (!cobj) {
        PyErr_Format(PyExc_ImportError,
            "%.200s does not export expected C function %.200s",
                PyModule_GetName(module), funcname);
        goto bad;
    }
#if PY_VERSION_HEX >= 0x02070000
    if (!PyCapsule_IsValid(cobj, sig)) {
        PyErr_Format(PyExc_TypeError,
            "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
             PyModule_GetName(module), funcname, sig, PyCapsule_GetName(cobj));
        goto bad;
    }
    tmp.p = PyCapsule_GetPointer(cobj, sig);
#else
    {const char *desc, *s1, *s2;
    desc = (const char *)PyCObject_GetDesc(cobj);
    if (!desc)
        goto bad;
    s1 = desc; s2 = sig;
    while (*s1 != '\0' && *s1 == *s2) { s1++; s2++; }
    if (*s1 != *s2) {
        PyErr_Format(PyExc_TypeError,
            "C function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)",
             PyModule_GetName(module), funcname, sig, desc);
        goto bad;
    }
    tmp.p = PyCObject_AsVoidPtr(cobj);}
#endif
    *f = tmp.fp;
    if (!(*f))
        goto bad;
    Py_DECREF(d);
    return 0;
bad:
    Py_XDECREF(d);
    return -1;
}
#endif

/* InitStrings */
    static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
    while (t->p) {
        #if PY_MAJOR_VERSION < 3
        if (t->is_unicode) {
            *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
        } else if (t->intern) {
            *t->p = PyString_InternFromString(t->s);
        } else {
            *t->p = PyString_FromStringAndSize(t->s, t->n - 1);
        }
        #else
        if (t->is_unicode | t->is_str) {
            if (t->intern) {
                *t->p = PyUnicode_InternFromString(t->s);
            } else if (t->encoding) {
                *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
            } else {
                *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
            }
        } else {
            *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
        }
        #endif
        if (!*t->p)
            return -1;
        if (PyObject_Hash(*t->p) == -1)
            return -1;
        ++t;
    }
    return 0;
}

static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
    return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
    Py_ssize_t ignore;
    return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
#if !CYTHON_PEP393_ENABLED
static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
    char* defenc_c;
    PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
    if (!defenc) return NULL;
    defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
    {
        char* end = defenc_c + PyBytes_GET_SIZE(defenc);
        char* c;
        for (c = defenc_c; c < end; c++) {
            if ((unsigned char) (*c) >= 128) {
                PyUnicode_AsASCIIString(o);
                return NULL;
            }
        }
    }
#endif
    *length = PyBytes_GET_SIZE(defenc);
    return defenc_c;
}
#else
static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
    if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
    if (likely(PyUnicode_IS_ASCII(o))) {
        *length = PyUnicode_GET_LENGTH(o);
        return PyUnicode_AsUTF8(o);
    } else {
        PyUnicode_AsASCIIString(o);
        return NULL;
    }
#else
    return PyUnicode_AsUTF8AndSize(o, length);
#endif
}
#endif
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
    if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
            __Pyx_sys_getdefaultencoding_not_ascii &&
#endif
            PyUnicode_Check(o)) {
        return __Pyx_PyUnicode_AsStringAndSize(o, length);
    } else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
    if (PyByteArray_Check(o)) {
        *length = PyByteArray_GET_SIZE(o);
        return PyByteArray_AS_STRING(o);
    } else
#endif
    {
        char* result;
        int r = PyBytes_AsStringAndSize(o, &result, length);
        if (unlikely(r < 0)) {
            return NULL;
        } else {
            return result;
        }
    }
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
   int is_true = x == Py_True;
   if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
   else return PyObject_IsTrue(x);
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrueAndDecref(PyObject* x) {
    int retval;
    if (unlikely(!x)) return -1;
    retval = __Pyx_PyObject_IsTrue(x);
    Py_DECREF(x);
    return retval;
}
static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
    if (PyLong_Check(result)) {
        if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
                "__int__ returned non-int (type %.200s).  "
                "The ability to return an instance of a strict subclass of int "
                "is deprecated, and may be removed in a future version of Python.",
                Py_TYPE(result)->tp_name)) {
            Py_DECREF(result);
            return NULL;
        }
        return result;
    }
#endif
    PyErr_Format(PyExc_TypeError,
                 "__%.4s__ returned non-%.4s (type %.200s)",
                 type_name, type_name, Py_TYPE(result)->tp_name);
    Py_DECREF(result);
    return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
  PyNumberMethods *m;
#endif
  const char *name = NULL;
  PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
  if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
  if (likely(PyLong_Check(x)))
#endif
    return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
  m = Py_TYPE(x)->tp_as_number;
  #if PY_MAJOR_VERSION < 3
  if (m && m->nb_int) {
    name = "int";
    res = m->nb_int(x);
  }
  else if (m && m->nb_long) {
    name = "long";
    res = m->nb_long(x);
  }
  #else
  if (likely(m && m->nb_int)) {
    name = "int";
    res = m->nb_int(x);
  }
  #endif
#else
  if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
    res = PyNumber_Int(x);
  }
#endif
  if (likely(res)) {
#if PY_MAJOR_VERSION < 3
    if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
    if (unlikely(!PyLong_CheckExact(res))) {
#endif
        return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
    }
  }
  else if (!PyErr_Occurred()) {
    PyErr_SetString(PyExc_TypeError,
                    "an integer is required");
  }
  return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
  Py_ssize_t ival;
  PyObject *x;
#if PY_MAJOR_VERSION < 3
  if (likely(PyInt_CheckExact(b))) {
    if (sizeof(Py_ssize_t) >= sizeof(long))
        return PyInt_AS_LONG(b);
    else
        return PyInt_AsSsize_t(b);
  }
#endif
  if (likely(PyLong_CheckExact(b))) {
    #if CYTHON_USE_PYLONG_INTERNALS
    const digit* digits = ((PyLongObject*)b)->ob_digit;
    const Py_ssize_t size = Py_SIZE(b);
    if (likely(__Pyx_sst_abs(size) <= 1)) {
        ival = likely(size) ? digits[0] : 0;
        if (size == -1) ival = -ival;
        return ival;
    } else {
      switch (size) {
         case 2:
           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -2:
           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case 3:
           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -3:
           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case 4:
           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -4:
           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
      }
    }
    #endif
    return PyLong_AsSsize_t(b);
  }
  x = PyNumber_Index(b);
  if (!x) return -1;
  ival = PyInt_AsSsize_t(x);
  Py_DECREF(x);
  return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
  return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
    return PyInt_FromSize_t(ival);
}


#endif /* Py_PYTHON_H */
