Metadata-Version: 2.1
Name: invarpy
Version: 1.2.1
Summary: Invariance estiators for Python
Home-page: https://github.com/buschinelli-joao/invarpy
Author: Joao Buschinelli
Author-email: joao.correabuschinelli@mail.mcgill.ca
Project-URL: Bug Tracker, https://github.com/pypa/sampleproject/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# invarpy package v1.2.1

- Package that includes several methods to compute statistical translation non-invariance of primarly, but not limitted to, scalar
cosmological fields.

## Updates v1.2.1

- All methods are working;
- Removed unnecessary package functools;
- Now every method takes the same input. This means that for a configuration space routine, input
field is the field in configuration space, whereas for a Fourier space routine, input field is
the Fourier transform of the field in configuration space. For the bias routines, input must be
the field power spectrum not-normalized. The common.py method computes the power spectrum without
normalizing it. Normalization happens inside the routines of nopbc_estimators or pbc_estimators
methods.

## Older versions updates

### Minor Bug fixes on v1.2.0

- Fixed sigma estimator if statement on nopbc_estimators method;
- nopbc_estimators method is working correctly.

### Major Bug fixes on v1.1.2

- Fixed configuration space on pbc_estimators method normalization factor for the estimator bias;
- Fourier space and configuration space for pbc_estimator.py is working correctly.

### Minor Bug fixes on v1.1.1

- Fixed bug of 'unexpected keyword argument estimator_kind' on sigma_which_diagonal routine of pbc_estimator.py method. 

### Major Bug fixes on v1.1.0

- Fixed second and first kind estimator bias in pbc_estimators.py method.
- Fixed second kind estimator bias in pbc_estimators.py method;
- Fixed bugs on common.py.






