


from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
    import numpy as np
    import tensorflow as tf

    from transformers import TFCamembertModel



@require_tf
@require_sentencepiece
@require_tokenizers
class 	__lowerCamelCase			(unittest.TestCase						):







       @slow
       def 		snake_case_	(			self: Any					):






            '''simple docstring'''




            __UpperCamelCase =			TFCamembertModel.from_pretrained('jplu/tf-camembert-base'					)

            __UpperCamelCase =			tf.convert_to_tensor(
                [[5, 121, 11, 660, 16, 730, 2_5543, 110, 83, 6]],dtype=tf.intaa,)  # J'aime le camembert !"

            __UpperCamelCase =			model(A_					)['last_hidden_state']
            __UpperCamelCase =			tf.TensorShape((1, 10, 768)					)
            self.assertEqual(output.shape,A_					)
            # compare the actual values for a slice.
            __UpperCamelCase =			tf.convert_to_tensor(
                [[[-0.0_2_5_4, 0.0_2_3_5, 0.1_0_2_7], [0.0_6_0_6, -0.1_8_1_1, -0.0_4_1_8], [-0.1_5_6_1, -0.1_1_2_7, 0.2_6_8_7]]],dtype=tf.floataa,)
            # camembert = torch.hub.load('pytorch/fairseq', 'camembert.v0')
            # camembert.eval()
            # expected_slice = roberta.model.forward(input_ids)[0][:, :3, :3].detach()

            self.assertTrue(np.allclose(output[:, :3, :3].numpy(),expected_slice.numpy(),atol=1E-4					)					)






from collections.abc import Generator
from math import sin






def 		_A		(		_lowercase )					-> bytes:


     """simple docstring"""


     if len(_lowercase ) != 32:
          raise ValueError('Input must be of length 32' )

     __UpperCamelCase =			B''
     for i in [3, 2, 1, 0]:
          little_endian += string_aa[8 * i : 8 * i + 8]
     return little_endian






def 		_A		(		_lowercase )					-> bytes:


     """simple docstring"""


     if i < 0:
          raise ValueError('Input must be non-negative' )

     __UpperCamelCase =			format(_lowercase					,  '08x' )[-8:]
     __UpperCamelCase =			B''
     for i in [3, 2, 1, 0]:
          little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode('utf-8' )
     return little_endian_hex






def 		_A		(		_lowercase )					-> bytes:


     """simple docstring"""


     __UpperCamelCase =			B''
     for char in message:
          bit_string += format(_lowercase					,  '08b' ).encode('utf-8' )
     __UpperCamelCase =			format(len(_lowercase )					,  '064b' ).encode('utf-8' )

     # Pad bit_string to a multiple of 512 chars
     bit_string += b"1"
     while len(_lowercase ) % 5_12 != 4_48:
          bit_string += b"0"
     bit_string += to_little_endian(start_len[32:] ) + to_little_endian(start_len[:32] )

     return bit_string






def 		_A		(		_lowercase )					-> Generator[list[int], None, None]:


     """simple docstring"""


     if len(_lowercase ) % 5_12 != 0:
          raise ValueError('Input must have length that\'s a multiple of 512' )

     for pos in range(0					,  len(_lowercase )					,  5_12 ):
          __UpperCamelCase =			bit_string[pos : pos + 5_12]
          __UpperCamelCase =			[]
          for i in range(0					,  5_12					,  32 ):
               block_words.append(int(to_little_endian(block[i : i + 32] )					,  2 ) )
          yield block_words






def 		_A		(		_lowercase )					-> int:


     """simple docstring"""


     if i < 0:
          raise ValueError('Input must be non-negative' )

     __UpperCamelCase =			format(_lowercase					,  '032b' )
     __UpperCamelCase =			''
     for c in i_str:
          new_str += "1" if c == "0" else "0"
     return int(_lowercase					,  2 )






def 		_A		(		_lowercase					,  _lowercase )					-> int:


     """simple docstring"""


     return (a + b) % 2**32






def 		_A		(		_lowercase					,  _lowercase )					-> int:


     """simple docstring"""


     if i < 0:
          raise ValueError('Input must be non-negative' )
     if shift < 0:
          raise ValueError('Shift must be non-negative' )
     return ((i << shift) ^ (i >> (32 - shift))) % 2**32






def 		_A		(		_lowercase )					-> bytes:


     """simple docstring"""


     __UpperCamelCase =			preprocess(_lowercase )

     __UpperCamelCase =			[int(2**32 * abs(sin(i + 1 ) ) ) for i in range(64 )]

     # Starting states
     __UpperCamelCase =			0X67_45_23_01
     __UpperCamelCase =			0Xef_cd_ab_89
     __UpperCamelCase =			0X98_ba_dc_fe
     __UpperCamelCase =			0X10_32_54_76

     __UpperCamelCase =			[
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         7,
         12,
         17,
         22,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         5,
         9,
         14,
         20,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         4,
         11,
         16,
         23,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
         6,
         10,
         15,
         21,
     ]

     # Process bit string in chunks, each with 16 32-char words
     for block_words in get_block_words(_lowercase ):
          __UpperCamelCase =			aa
          __UpperCamelCase =			ba
          __UpperCamelCase =			ca
          __UpperCamelCase =			da

          # Hash current chunk
          for i in range(64 ):
               if i <= 15:
                    # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
                    __UpperCamelCase =			d ^ (b & (c ^ d))
                    __UpperCamelCase =			i
               elif i <= 31:
                    # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
                    __UpperCamelCase =			c ^ (d & (b ^ c))
                    __UpperCamelCase =			(5 * i + 1) % 16
               elif i <= 47:
                    __UpperCamelCase =			b ^ c ^ d
                    __UpperCamelCase =			(3 * i + 5) % 16
               else:
                    __UpperCamelCase =			c ^ (b | not_aa(_lowercase ))
                    __UpperCamelCase =			(7 * i) % 16
               __UpperCamelCase =			(f + a + added_consts[i] + block_words[g]) % 2**32
               __UpperCamelCase =			d
               __UpperCamelCase =			c
               __UpperCamelCase =			b
               __UpperCamelCase =			sum_aa(_lowercase					,  left_rotate_aa(_lowercase					,  shift_amounts[i] ) )

          # Add hashed chunk to running total
          __UpperCamelCase =			sum_aa(_lowercase					,  _lowercase )
          __UpperCamelCase =			sum_aa(_lowercase					,  _lowercase )
          __UpperCamelCase =			sum_aa(_lowercase					,  _lowercase )
          __UpperCamelCase =			sum_aa(_lowercase					,  _lowercase )

     __UpperCamelCase =			reformat_hex(_lowercase ) + reformat_hex(_lowercase ) + reformat_hex(_lowercase ) + reformat_hex(_lowercase )
     return digest


if __name__ == "__main__":
    import doctest

    doctest.testmod()


