



import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import MaMaaaTokenizer, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)
from transformers.utils import is_sentencepiece_available


if is_sentencepiece_available():
 from transformers.models.mam_aaa.tokenization_mam_aaa import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


if is_sentencepiece_available():
 __snake_case		:Optional[Any]   	=  get_tests_dir('''fixtures/test_sentencepiece.model''')


if is_torch_available():
 from transformers.models.mam_aaa.modeling_mam_aaa import shift_tokens_right

__snake_case		:Dict   	=  12_8022
__snake_case		:List[Any]   	=  12_8028

@require_sentencepiece
class 					_A (			__UpperCAmelCase   ,unittest.TestCase					):
       UpperCamelCase__						:					Dict		      =		MaMaaaTokenizer
       UpperCamelCase__						:					Any		      =		False
       UpperCamelCase__						:					Tuple		      =		False
       UpperCamelCase__						:					List[Any]		      =		True



       def 	_lowerCamelCase    (	self							:  Optional[Any]):


           '''simple docstring'''

           super().setUp()

           __a		 =       ['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
           __a		 =       dict(zip(__SCREAMING_SNAKE_CASE  ,	range(len(__SCREAMING_SNAKE_CASE))))
           __a		 =       Path(self.tmpdirname)
           save_json(__SCREAMING_SNAKE_CASE  ,	save_dir / VOCAB_FILES_NAMES['''vocab_file'''])
           if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
               copyfile(__SCREAMING_SNAKE_CASE  ,	save_dir / VOCAB_FILES_NAMES['''spm_file'''])

           __a		 =       MaMaaaTokenizer.from_pretrained(self.tmpdirname)
           tokenizer.save_pretrained(self.tmpdirname)



       def 	_lowerCamelCase    (	self							:  Any  ,	**__SCREAMING_SNAKE_CASE							:  str):


           '''simple docstring'''

           return MaMaaaTokenizer.from_pretrained(self.tmpdirname  ,	**__SCREAMING_SNAKE_CASE)



       def 	_lowerCamelCase    (	self							:  Optional[int]  ,	__SCREAMING_SNAKE_CASE							:  str):


           '''simple docstring'''

           return (
               "This is a test",
               "This is a test",
           )



       def 	_lowerCamelCase    (	self							:  Optional[Any]):


           '''simple docstring'''

           __a		 =       '''</s>'''
           __a		 =       0

           self.assertEqual(self.get_tokenizer()._convert_token_to_id(__SCREAMING_SNAKE_CASE)  ,	__SCREAMING_SNAKE_CASE)
           self.assertEqual(self.get_tokenizer()._convert_id_to_token(__SCREAMING_SNAKE_CASE)  ,	__SCREAMING_SNAKE_CASE)



       def 	_lowerCamelCase    (	self							:  Any):


           '''simple docstring'''

           __a		 =       self.get_tokenizer()
           __a		 =       list(tokenizer.get_vocab().keys())

           self.assertEqual(vocab_keys[0]  ,	'''</s>''')
           self.assertEqual(vocab_keys[1]  ,	'''<unk>''')
           self.assertEqual(vocab_keys[-1]  ,	'''<s>''')
           self.assertEqual(len(__SCREAMING_SNAKE_CASE)  ,	tokenizer.vocab_size + len(tokenizer.get_added_vocab()))



       @unittest.skip('''Skip this test while all models are still to be uploaded.''')
       def 	_lowerCamelCase    (	self							:  Optional[Any]):


           '''simple docstring'''

           pass



       def 	_lowerCamelCase    (	self							:  int):


           '''simple docstring'''

           __a		 =       self.get_tokenizer()

           __a		 =       tokenizer.tokenize('''This is a test''')
           self.assertListEqual(__SCREAMING_SNAKE_CASE  ,	['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est'''])

           self.assertListEqual(
               tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE)  ,	[2, 3, 4, 5, 6]  ,	)

           __a		 =       tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6])
           self.assertListEqual(__SCREAMING_SNAKE_CASE  ,	['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est'''])

           __a		 =       tokenizer.convert_tokens_to_string(__SCREAMING_SNAKE_CASE)
           self.assertEqual(__SCREAMING_SNAKE_CASE  ,	'''This is a test''')





       @slow
       def 	_lowerCamelCase    (	self							:  List[str]):


           '''simple docstring'''

           __a		 =       {'''input_ids''': [[128_022, 110_108, 397, 11, 38_272, 2_247, 124_811, 285, 18_105, 1_586, 207, 7, 39_534, 4_428, 397, 1_019, 18_105, 1_586, 207, 7, 41_337, 16_786, 241, 7, 20_214, 17, 125_690, 10_398, 7, 44_378, 58_069, 68_342, 7_798, 7_343, 11, 299, 33_310, 4, 158, 37_350, 94_077, 4_569, 299, 33_310, 90, 4, 52_840, 290, 4, 31_270, 112, 299, 682, 4, 52_840, 39_953, 14_079, 193, 52_519, 90_894, 17_894, 120_697, 11, 40_445, 551, 17, 1_019, 52_519, 90_894, 17_756, 963, 11, 40_445, 480, 17, 9_792, 1_120, 5_173, 1_393, 6_240, 16_786, 241, 120_996, 28, 1_245, 1_393, 118_240, 11_123, 1_019, 93_612, 2_691, 10_618, 98_058, 120_409, 1_928, 279, 4, 40_683, 367, 178, 207, 1_019, 103, 103_121, 506, 65_296, 5, 2], [128_022, 21_217, 367, 117, 125_450, 128, 719, 7, 7_308, 40, 93_612, 12_669, 1_116, 16_704, 71, 17_785, 3_699, 15_592, 35, 144, 9_584, 241, 11_943, 713, 950, 799, 2_247, 88_427, 150, 149, 118_813, 120_706, 1_019, 106_906, 81_518, 28, 1_224, 22_799, 397, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [128_022, 1_658, 123_311, 5_155, 5_578, 4_722, 279, 14_947, 2_366, 1_120, 1_197, 14, 1_348, 9_232, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
           # fmt: on

           self.tokenizer_integration_test_util(
               expected_encoding=__SCREAMING_SNAKE_CASE  ,	model_name='''facebook/m2m100_418M'''  ,	revision='''c168bae485c864188cf9aa0e4108b0b6934dc91e'''  ,	)


@require_torch
@require_sentencepiece
@require_tokenizers
class 					_A (			unittest.TestCase					):
       UpperCamelCase__						:					int		      =		'''facebook/m2m100_418M'''
       UpperCamelCase__						:					int		      =		[
           '''In my opinion, there are two levels of response from the French government.''',
           '''NSA Affair Emphasizes Complete Lack of Debate on Intelligence''',
       ]
       UpperCamelCase__						:					List[Any]		      =		[
           '''Selon moi, il y a deux niveaux de réponse de la part du gouvernement français.''',
           '''L\'affaire NSA souligne l\'absence totale de débat sur le renseignement''',
       ]

       # fmt: off
       UpperCamelCase__						:					List[Any]		      =		[EN_CODE, 593, 1_949, 115_781, 4, 71_586, 4_234, 60_633, 126_233, 432, 123_808, 15_592, 1_197, 117_132, 120_618, 5, 2]



       @classmethod
       def 	_lowerCamelCase    (	cls							:  Union[str, Any]):


           '''simple docstring'''

           __a		 =       MaMaaaTokenizer.from_pretrained(
               cls.checkpoint_name  ,	src_lang='''en'''  ,	tgt_lang='''fr''')
           __a		 =       1
           return cls



       def 	_lowerCamelCase    (	self							:  Tuple):


           '''simple docstring'''

           self.assertEqual(self.tokenizer.get_lang_id('''ar''')  ,	128_006)
           self.assertEqual(self.tokenizer.get_lang_id('''en''')  ,	128_022)
           self.assertEqual(self.tokenizer.get_lang_id('''ro''')  ,	128_076)
           self.assertEqual(self.tokenizer.get_lang_id('''mr''')  ,	128_063)



       def 	_lowerCamelCase    (	self							:  List[str]):


           '''simple docstring'''

           __a		 =       self.tokenizer.get_vocab()
           self.assertEqual(len(__SCREAMING_SNAKE_CASE)  ,	self.tokenizer.vocab_size)
           self.assertEqual(vocab['''<unk>''']  ,	3)
           self.assertIn(self.tokenizer.get_lang_token('''en''')  ,	__SCREAMING_SNAKE_CASE)



       def 	_lowerCamelCase    (	self							:  List[Any]):


           '''simple docstring'''

           __a		 =       '''en'''
           __a		 =       self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
           self.assertListEqual(self.expected_src_tokens  ,	__SCREAMING_SNAKE_CASE)



       def 	_lowerCamelCase    (	self							:  str):


           '''simple docstring'''

           self.assertIn(__SCREAMING_SNAKE_CASE  ,	self.tokenizer.all_special_ids)
           # fmt: off
           __a		 =       [FR_CODE, 5_364, 82, 8_642, 4, 294, 47, 8, 14_028, 136, 3_286, 9_706, 6, 90_797, 6, 144_012, 162, 88_128, 30_061, 5, 2]
           # fmt: on
           __a		 =       self.tokenizer.decode(__SCREAMING_SNAKE_CASE  ,	skip_special_tokens=__SCREAMING_SNAKE_CASE)
           __a		 =       self.tokenizer.decode(generated_ids[1:]  ,	skip_special_tokens=__SCREAMING_SNAKE_CASE)
           self.assertEqual(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE)
           self.assertNotIn(self.tokenizer.eos_token  ,	__SCREAMING_SNAKE_CASE)



       def 	_lowerCamelCase    (	self							:  Any):


           '''simple docstring'''

           __a		 =       tempfile.mkdtemp()
           __a		 =       self.tokenizer.lang_token_to_id
           self.tokenizer.save_pretrained(__SCREAMING_SNAKE_CASE)
           __a		 =       MaMaaaTokenizer.from_pretrained(__SCREAMING_SNAKE_CASE)
           self.assertDictEqual(new_tok.lang_token_to_id  ,	__SCREAMING_SNAKE_CASE)



       @require_torch
       def 	_lowerCamelCase    (	self							:  int):


           '''simple docstring'''

           __a		 =       '''en'''
           __a		 =       '''fr'''

           __a		 =       self.tokenizer(self.src_text  ,	text_target=self.tgt_text  ,	padding=__SCREAMING_SNAKE_CASE  ,	return_tensors='''pt''')

           __a		 =       shift_tokens_right(
               batch['''labels''']  ,	self.tokenizer.pad_token_id  ,	self.tokenizer.eos_token_id)

           for k in batch:
               __a		 =       batch[k].tolist()
           # batch = {k: v.tolist() for k,v in batch.items()}
           # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
           # batch.decoder_inputs_ids[0][0] ==
           assert batch.input_ids[1][0] == EN_CODE
           assert batch.input_ids[1][-1] == 2
           assert batch.labels[1][0] == FR_CODE
           assert batch.labels[1][-1] == 2
           assert batch.decoder_input_ids[1][:2] == [2, FR_CODE]



       @require_torch
       def 	_lowerCamelCase    (	self							:  Dict):


           '''simple docstring'''

           __a		 =       '''mr'''
           self.assertListEqual(self.tokenizer.prefix_tokens  ,	[self.tokenizer.get_lang_id('''mr''')])
           self.assertListEqual(self.tokenizer.suffix_tokens  ,	[self.tokenizer.eos_token_id])

           __a		 =       '''zh'''
           self.assertListEqual(self.tokenizer.prefix_tokens  ,	[self.tokenizer.get_lang_id('''zh''')])
           self.assertListEqual(self.tokenizer.suffix_tokens  ,	[self.tokenizer.eos_token_id])



       @require_torch
       def 	_lowerCamelCase    (	self							:  Any):


           '''simple docstring'''

           __a		 =       '''mr'''
           self.tokenizer._switch_to_target_mode()
           self.assertListEqual(self.tokenizer.prefix_tokens  ,	[self.tokenizer.get_lang_id('''mr''')])
           self.assertListEqual(self.tokenizer.suffix_tokens  ,	[self.tokenizer.eos_token_id])
           self.tokenizer._switch_to_input_mode()
           self.assertListEqual(self.tokenizer.prefix_tokens  ,	[self.tokenizer.get_lang_id(self.tokenizer.src_lang)])

           __a		 =       '''zh'''
           self.tokenizer._switch_to_target_mode()
           self.assertListEqual(self.tokenizer.prefix_tokens  ,	[self.tokenizer.get_lang_id('''zh''')])
           self.assertListEqual(self.tokenizer.suffix_tokens  ,	[self.tokenizer.eos_token_id])
           self.tokenizer._switch_to_input_mode()
           self.assertListEqual(self.tokenizer.prefix_tokens  ,	[self.tokenizer.get_lang_id(self.tokenizer.src_lang)])





       @require_torch
       def 	_lowerCamelCase    (	self							:  Optional[Any]):


           '''simple docstring'''

           __a		 =       self.tokenizer._build_translation_inputs('''A test'''  ,	return_tensors='''pt'''  ,	src_lang='''en'''  ,	tgt_lang='''ar''')

           self.assertEqual(
               nested_simplify(__SCREAMING_SNAKE_CASE)  ,	{
                   # en_XX, A, test, EOS
                   '''input_ids''': [[128_022, 58, 4_183, 2]],
                   '''attention_mask''': [[1, 1, 1, 1]],
                   # ar_AR
                   '''forced_bos_token_id''': 128_006,
               }  ,	)










from collections.abc import Generator
from math import sin





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

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





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

    __a		 =       format(_UpperCAmelCase     ,				'''08x'''       )[-8:]
    __a		 =       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   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       b''''''
    for char in message:
        bit_string += format(_UpperCAmelCase     ,				'''08b'''       ).encode('''utf-8'''       )
    __a		 =       format(len(_UpperCAmelCase       )     ,				'''064b'''       ).encode('''utf-8'''       )

    # Pad bit_string to a multiple of 512 chars
    bit_string += b"1"
    while len(_UpperCAmelCase       ) % 512 != 448:
        bit_string += b"0"
    bit_string += to_little_endian(start_len[32:]       ) + to_little_endian(start_len[:32]       )

    return bit_string





def   __snake_case			(    _UpperCAmelCase       ):
    if len(_UpperCAmelCase       ) % 512 != 0:
        raise ValueError('''Input must have length that\'s a multiple of 512'''       )

    for pos in range(0     ,				len(_UpperCAmelCase       )     ,				512       ):
        __a		 =       bit_string[pos : pos + 512]
        __a		 =       []
        for i in range(0     ,				512     ,				32       ):
            block_words.append(int(to_little_endian(block[i : i + 32]       )     ,				2       )       )
        yield block_words





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

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





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase       ):
    return (a + b) % 2**32





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase       ):
    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   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       preprocess(_UpperCAmelCase       )

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

    # Starting states
    __a		 =       0X67_452_301
    __a		 =       0Xef_cda_b89
    __a		 =       0X98_bad_cfe
    __a		 =       0X10_325_476

    __a		 =       [
        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(_UpperCAmelCase       ):
        __a		 =       aa
        __a		 =       ba
        __a		 =       ca
        __a		 =       da

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

        # Add hashed chunk to running total
        __a		 =       sum_aa(_UpperCAmelCase     ,				_UpperCAmelCase       )
        __a		 =       sum_aa(_UpperCAmelCase     ,				_UpperCAmelCase       )
        __a		 =       sum_aa(_UpperCAmelCase     ,				_UpperCAmelCase       )
        __a		 =       sum_aa(_UpperCAmelCase     ,				_UpperCAmelCase       )

    __a		 =       reformat_hex(_UpperCAmelCase       ) + reformat_hex(_UpperCAmelCase       ) + reformat_hex(_UpperCAmelCase       ) + reformat_hex(_UpperCAmelCase       )
    return digest


if __name__ == "__main__":
 import doctest

 doctest.testmod()





