

'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


A_							    =				{
    "configuration_wav2vec2": ["WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP", "Wav2Vec2Config"],
    "feature_extraction_wav2vec2": ["Wav2Vec2FeatureExtractor"],
    "processing_wav2vec2": ["Wav2Vec2Processor"],
    "tokenization_wav2vec2": ["Wav2Vec2CTCTokenizer", "Wav2Vec2Tokenizer"],
}


try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A_							    =				[
        "WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
        "Wav2Vec2ForAudioFrameClassification",
        "Wav2Vec2ForCTC",
        "Wav2Vec2ForMaskedLM",
        "Wav2Vec2ForPreTraining",
        "Wav2Vec2ForSequenceClassification",
        "Wav2Vec2ForXVector",
        "Wav2Vec2Model",
        "Wav2Vec2PreTrainedModel",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A_							    =				[
        "TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST",
        "TFWav2Vec2ForCTC",
        "TFWav2Vec2Model",
        "TFWav2Vec2PreTrainedModel",
        "TFWav2Vec2ForSequenceClassification",
    ]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    A_							    =				[
        "FlaxWav2Vec2ForCTC",
        "FlaxWav2Vec2ForPreTraining",
        "FlaxWav2Vec2Model",
        "FlaxWav2Vec2PreTrainedModel",
    ]


if TYPE_CHECKING:
    from .configuration_wavaveca import WAV_2_VEC_2_PRETRAINED_CONFIG_ARCHIVE_MAP, WavaVecaConfig
    from .feature_extraction_wavaveca import WavaVecaFeatureExtractor
    from .processing_wavaveca import WavaVecaProcessor
    from .tokenization_wavaveca import WavaVecaCTCTokenizer, WavaVecaTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_wavaveca import (
            WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
            WavaVecaForAudioFrameClassification,
            WavaVecaForCTC,
            WavaVecaForMaskedLM,
            WavaVecaForPreTraining,
            WavaVecaForSequenceClassification,
            WavaVecaForXVector,
            WavaVecaModel,
            WavaVecaPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_wavaveca import (
            TF_WAV_2_VEC_2_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFWavaVecaForCTC,
            TFWavaVecaForSequenceClassification,
            TFWavaVecaModel,
            TFWavaVecaPreTrainedModel,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_wavaveca import (
            FlaxWavaVecaForCTC,
            FlaxWavaVecaForPreTraining,
            FlaxWavaVecaModel,
            FlaxWavaVecaPreTrainedModel,
        )


else:
    import sys

    A_							    =				_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)













'''simple docstring'''

from PIL import Image

def     __magic_name__							(				__UpperCAmelCase				,						__UpperCAmelCase   )    ->       Image:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE   				=							(259 * (level + 255)) / (255 * (259 - level))

   def contrast(__UpperCAmelCase   ) -> int:
      return int(128 + factor * (c - 128)   )

   return img.point(__UpperCAmelCase   )


if __name__ == "__main__":
    # Load image
    with Image.open("image_data/lena.jpg") as img:
        # Change contrast to 170
        a   	=    change_contrast(img, 170)
        cont_img.save("image_data/lena_high_contrast.png", format="png")





