from typing import TYPE_CHECKING

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


lowerCAmelCase__     						=			{
    '''configuration_lxmert''': ['''LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LxmertConfig'''],
    '''tokenization_lxmert''': ['''LxmertTokenizer'''],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			['''LxmertTokenizerFast''']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			[
        '''LxmertEncoder''',
        '''LxmertForPreTraining''',
        '''LxmertForQuestionAnswering''',
        '''LxmertModel''',
        '''LxmertPreTrainedModel''',
        '''LxmertVisualFeatureEncoder''',
        '''LxmertXLayer''',
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			[
        '''TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''TFLxmertForPreTraining''',
        '''TFLxmertMainLayer''',
        '''TFLxmertModel''',
        '''TFLxmertPreTrainedModel''',
        '''TFLxmertVisualFeatureEncoder''',
    ]


if TYPE_CHECKING:
    from .configuration_lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig
    from .tokenization_lxmert import LxmertTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_lxmert_fast import LxmertTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_lxmert import (
            LxmertEncoder,
            LxmertForPreTraining,
            LxmertForQuestionAnswering,
            LxmertModel,
            LxmertPreTrainedModel,
            LxmertVisualFeatureEncoder,
            LxmertXLayer,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_lxmert import (
            TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFLxmertForPreTraining,
            TFLxmertMainLayer,
            TFLxmertModel,
            TFLxmertPreTrainedModel,
            TFLxmertVisualFeatureEncoder,
        )

else:
    import sys

    lowerCAmelCase__     						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
lowerCAmelCase__     						=			'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'






def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       # Make sure the supplied data is a bytes-like object
       if not isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ):
              lowerCAmelCase__					     = F"""a bytes-like object is required, not '{data.__class__.__name__}'"""
              raise TypeError(lowerCAmelCase__     )

       lowerCAmelCase__					     = ''.join(bin(lowerCAmelCase__     )[2:].zfill(8     ) for byte in data     )

       lowerCAmelCase__					     = len(lowerCAmelCase__     ) % 6 != 0

       if padding_needed:
              # The padding that will be added later
              lowerCAmelCase__					     = b'=' * ((6 - len(lowerCAmelCase__     ) % 6) // 2)

              # Append binary_stream with arbitrary binary digits (0's by default) to make its
              # length a multiple of 6.
              binary_stream += "0" * (6 - len(lowerCAmelCase__     ) % 6)
       else:
              lowerCAmelCase__					     = b''

       # Encode every 6 binary digits to their corresponding Base64 character
       return (
           "".join(
               B64_CHARSET[int(binary_stream[index : index + 6]     ,  2     )]
               for index in range(0     ,  len(lowerCAmelCase__     )     ,  6     )     ).encode()
           + padding
       )






def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       # Make sure encoded_data is either a string or a bytes-like object
       if not isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ) and not isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ):
              lowerCAmelCase__					     = (
                  'argument should be a bytes-like object or ASCII string, '
                  F"""not '{encoded_data.__class__.__name__}'"""
              )
              raise TypeError(lowerCAmelCase__     )

       # In case encoded_data is a bytes-like object, make sure it contains only
       # ASCII characters so we convert it to a string object
       if isinstance(lowerCAmelCase__     ,  lowerCAmelCase__     ):
              try:
                     lowerCAmelCase__					     = encoded_data.decode('utf-8'     )
              except UnicodeDecodeError:
                     raise ValueError('base64 encoded data should only contain ASCII characters'     )

       lowerCAmelCase__					     = encoded_data.count('='     )

       # Check if the encoded string contains non base64 characters
       if padding:
              assert all(
                  char in B64_CHARSET for char in encoded_data[:-padding]     ), "Invalid base64 character(s) found."
       else:
              assert all(
                  char in B64_CHARSET for char in encoded_data     ), "Invalid base64 character(s) found."

       # Check the padding
       assert len(lowerCAmelCase__     ) % 4 == 0 and padding < 3, "Incorrect padding"

       if padding:
              # Remove padding if there is one
              lowerCAmelCase__					     = encoded_data[:-padding]

              lowerCAmelCase__					     = ''.join(
                  bin(B64_CHARSET.index(lowerCAmelCase__     )     )[2:].zfill(6     ) for char in encoded_data     )[: -padding * 2]
       else:
              lowerCAmelCase__					     = ''.join(
                  bin(B64_CHARSET.index(lowerCAmelCase__     )     )[2:].zfill(6     ) for char in encoded_data     )

       lowerCAmelCase__					     = [
           int(binary_stream[index : index + 8]     ,  2     )
           for index in range(0     ,  len(lowerCAmelCase__     )     ,  8     )
       ]

       return bytes(lowerCAmelCase__     )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
