"""
    #################################################################################################################################################################################################
    # This code library is an adaptation of the original Transformers and was designed, developed and programmed by Sapiens Technology®.                                                            #
    # Any alteration and/or disclosure of this code without prior authorization is strictly prohibited and is subject to legal action that will be forwarded by the Sapiens Technology® legal team. #
    # This set of algorithms aims to download, train, fine-tune and/or infer large language models from various sources and slopes.                                                                 #
    #################################################################################################################################################################################################
"""
from typing import TYPE_CHECKING
from ...utils import (OptionalDependencyNotAvailable, _LazyModule, is_essentia_available, is_librosa_available, is_pretty_midi_available, is_scipy_available, is_torch_available)
_import_structure = {'configuration_pop2piano': ['Pop2PianoConfig']}
try:
    if not is_torch_available(): raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable: pass
else: _import_structure["modeling_pop2piano"] = ["Pop2PianoForConditionalGeneration", "Pop2PianoPreTrainedModel"]
try:
    if not (is_librosa_available() and is_essentia_available() and is_scipy_available() and is_torch_available()): raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable: pass
else: _import_structure["feature_extraction_pop2piano"] = ["Pop2PianoFeatureExtractor"]
try:
    if not (is_pretty_midi_available() and is_torch_available()): raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable: pass
else: _import_structure["tokenization_pop2piano"] = ["Pop2PianoTokenizer"]
try:
    if not (is_pretty_midi_available() and is_torch_available() and is_librosa_available() and is_essentia_available() and is_scipy_available()): raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable: pass
else: _import_structure["processing_pop2piano"] = ["Pop2PianoProcessor"]
if TYPE_CHECKING:
    from .configuration_pop2piano import Pop2PianoConfig
    try:
        if not is_torch_available(): raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable: pass
    else: from .modeling_pop2piano import (Pop2PianoForConditionalGeneration, Pop2PianoPreTrainedModel)
    try:
        if not (is_librosa_available() and is_essentia_available() and is_scipy_available() and is_torch_available()): raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable: pass
    else: from .feature_extraction_pop2piano import Pop2PianoFeatureExtractor
    try:
        if not (is_pretty_midi_available() and is_torch_available()): raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable: pass
    else: from .tokenization_pop2piano import Pop2PianoTokenizer
    try:
        if not (is_pretty_midi_available() and is_torch_available() and is_librosa_available() and is_essentia_available() and is_scipy_available()): raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable: pass
    else: from .processing_pop2piano import Pop2PianoProcessor
else:
    import sys
    sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
"""
    #################################################################################################################################################################################################
    # This code library is an adaptation of the original Transformers and was designed, developed and programmed by Sapiens Technology®.                                                            #
    # Any alteration and/or disclosure of this code without prior authorization is strictly prohibited and is subject to legal action that will be forwarded by the Sapiens Technology® legal team. #
    # This set of algorithms aims to download, train, fine-tune and/or infer large language models from various sources and slopes.                                                                 #
    #################################################################################################################################################################################################
"""
