
_A						      =				"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"



def 		lowercase_    (     A__	)							->							bytes:
    """simple docstring"""

    if not isinstance(A__				,	A__	):
        snake_case				  =      F'a bytes-like object is required, not \'{data.__class__.__name__}\''
        raise TypeError(A__	)

    snake_case				  =      "".join(bin(A__	)[2:].zfill(8	) for byte in data	)

    snake_case				  =      len(A__	) % 6 != 0

    if padding_needed:
        # The padding that will be added later
        snake_case				  =      b"=" * ((6 - len(A__	) % 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(A__	) % 6)
    else:
        snake_case				  =      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(A__	)				,	6	)	).encode()
        + padding
    )



def 		lowercase_    (     A__	)							->							bytes:
    """simple docstring"""

    if not isinstance(A__				,	A__	) and not isinstance(A__				,	A__	):
        snake_case				  =      (
            "argument should be a bytes-like object or ASCII string, "
            F'not \'{encoded_data.__class__.__name__}\''
        )
        raise TypeError(A__	)

    # 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(A__				,	A__	):
        try:
            snake_case				  =      encoded_data.decode("utf-8"	)
        except UnicodeDecodeError:
            raise ValueError("base64 encoded data should only contain ASCII characters"	)

    snake_case				  =      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(A__	) % 4 == 0 and padding < 3, "Incorrect padding"

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

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

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

    return bytes(A__	)


if __name__ == "__main__":
   import doctest

   doctest.testmod()



import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
   from transformers import AutoModelForSeqaSeqLM, AutoTokenizer







@require_torch
@require_sentencepiece
@require_tokenizers
class   lowerCamelCase	(						unittest.TestCase						):





     @slow
     def 	UpperCAmelCase(self   :					List[str]     )		->		Optional[int]:
         snake_case				  =      AutoModelForSeqaSeqLM.from_pretrained("google/mt5-small"       ,					return_dict=_A     ).to(_A     )
         snake_case				  =      AutoTokenizer.from_pretrained("google/mt5-small"     )

         snake_case				  =      tokenizer("Hello there"       ,					return_tensors="pt"     ).input_ids
         snake_case				  =      tokenizer("Hi I am"       ,					return_tensors="pt"     ).input_ids

         snake_case				  =      model(input_ids.to(_A     )       ,					labels=labels.to(_A     )     ).loss
         snake_case				  =      -(labels.shape[-1] * loss.item())

         snake_case				  =      -84.91_27
         self.assertTrue(abs(mtf_score - EXPECTED_SCORE     ) < 1E-4     )

