


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():
  UpperCAmelCase__   	=							get_tests_dir('''fixtures/test_sentencepiece.model''')


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

UpperCAmelCase__   	=							12_8022
UpperCAmelCase__   	=							12_8028







@require_sentencepiece
class       lowerCamelCase__   (       lowerCAmelCase   ,							unittest.TestCase):
     SCREAMING_SNAKE_CASE__      			=			MaMaaaTokenizer
     SCREAMING_SNAKE_CASE__      			=			False
     SCREAMING_SNAKE_CASE__      			=			False
     SCREAMING_SNAKE_CASE__      			=			True





     def      __A					(self       )     ->   Optional[Any]:
      super().setUp()

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

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





     def      __A					(self		,     **UpperCAmelCase       )     ->   Union[str, Any]:
      return MaMaaaTokenizer.from_pretrained(self.tmpdirname		,     **UpperCAmelCase       )





     def      __A					(self		,     UpperCAmelCase       )     ->   List[Any]:
      return (
          "This is a test",
          "This is a test",
      )





     def      __A					(self       )     ->   List[Any]:
      _lowercase							      ='''</s>'''
      _lowercase							      =0

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





     def      __A					(self       )     ->   List[Any]:
      _lowercase							      =self.get_tokenizer()
      _lowercase							      =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(UpperCAmelCase       )		,     tokenizer.vocab_size + len(tokenizer.get_added_vocab()       )       )





     @unittest.skip('''Skip this test while all models are still to be uploaded.'''       )
     def      __A					(self       )     ->   Optional[int]:
      pass





     def      __A					(self       )     ->   Tuple:
      _lowercase							      =self.get_tokenizer()

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

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

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

      _lowercase							      =tokenizer.convert_tokens_to_string(UpperCAmelCase       )
      self.assertEqual(UpperCAmelCase		,     '''This is a test'''       )





     @slow
     def      __A					(self       )     ->   Any:
      # fmt: off
      _lowercase							      ={'''input_ids''': [[1_2_8_0_2_2, 1_1_0_1_0_8, 3_9_7, 1_1, 3_8_2_7_2, 2_2_4_7, 1_2_4_8_1_1, 2_8_5, 1_8_1_0_5, 1_5_8_6, 2_0_7, 7, 3_9_5_3_4, 4_4_2_8, 3_9_7, 1_0_1_9, 1_8_1_0_5, 1_5_8_6, 2_0_7, 7, 4_1_3_3_7, 1_6_7_8_6, 2_4_1, 7, 2_0_2_1_4, 1_7, 1_2_5_6_9_0, 1_0_3_9_8, 7, 4_4_3_7_8, 5_8_0_6_9, 6_8_3_4_2, 7_7_9_8, 7_3_4_3, 1_1, 2_9_9, 3_3_3_1_0, 4, 1_5_8, 3_7_3_5_0, 9_4_0_7_7, 4_5_6_9, 2_9_9, 3_3_3_1_0, 9_0, 4, 5_2_8_4_0, 2_9_0, 4, 3_1_2_7_0, 1_1_2, 2_9_9, 6_8_2, 4, 5_2_8_4_0, 3_9_9_5_3, 1_4_0_7_9, 1_9_3, 5_2_5_1_9, 9_0_8_9_4, 1_7_8_9_4, 1_2_0_6_9_7, 1_1, 4_0_4_4_5, 5_5_1, 1_7, 1_0_1_9, 5_2_5_1_9, 9_0_8_9_4, 1_7_7_5_6, 9_6_3, 1_1, 4_0_4_4_5, 4_8_0, 1_7, 9_7_9_2, 1_1_2_0, 5_1_7_3, 1_3_9_3, 6_2_4_0, 1_6_7_8_6, 2_4_1, 1_2_0_9_9_6, 2_8, 1_2_4_5, 1_3_9_3, 1_1_8_2_4_0, 1_1_1_2_3, 1_0_1_9, 9_3_6_1_2, 2_6_9_1, 1_0_6_1_8, 9_8_0_5_8, 1_2_0_4_0_9, 1_9_2_8, 2_7_9, 4, 4_0_6_8_3, 3_6_7, 1_7_8, 2_0_7, 1_0_1_9, 1_0_3, 1_0_3_1_2_1, 5_0_6, 6_5_2_9_6, 5, 2], [1_2_8_0_2_2, 2_1_2_1_7, 3_6_7, 1_1_7, 1_2_5_4_5_0, 1_2_8, 7_1_9, 7, 7_3_0_8, 4_0, 9_3_6_1_2, 1_2_6_6_9, 1_1_1_6, 1_6_7_0_4, 7_1, 1_7_7_8_5, 3_6_9_9, 1_5_5_9_2, 3_5, 1_4_4, 9_5_8_4, 2_4_1, 1_1_9_4_3, 7_1_3, 9_5_0, 7_9_9, 2_2_4_7, 8_8_4_2_7, 1_5_0, 1_4_9, 1_1_8_8_1_3, 1_2_0_7_0_6, 1_0_1_9, 1_0_6_9_0_6, 8_1_5_1_8, 2_8, 1_2_2_4, 2_2_7_9_9, 3_9_7, 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_2_8_0_2_2, 1_6_5_8, 1_2_3_3_1_1, 5_1_5_5, 5_5_7_8, 4_7_2_2, 2_7_9, 1_4_9_4_7, 2_3_6_6, 1_1_2_0, 1_1_9_7, 1_4, 1_3_4_8, 9_2_3_2, 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=UpperCAmelCase		,     model_name='''facebook/m2m100_418M'''		,     revision='''c168bae485c864188cf9aa0e4108b0b6934dc91e'''		,     )







@require_torch
@require_sentencepiece
@require_tokenizers
class       lowerCamelCase__   (       unittest.TestCase):
     SCREAMING_SNAKE_CASE__      			=			'''facebook/m2m100_418M'''
     SCREAMING_SNAKE_CASE__      			=			[
         '''In my opinion, there are two levels of response from the French government.''',
         '''NSA Affair Emphasizes Complete Lack of Debate on Intelligence''',
     ]
     SCREAMING_SNAKE_CASE__      			=			[
         '''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
     SCREAMING_SNAKE_CASE__      			=			[EN_CODE, 593, 1949, 115781, 4, 71586, 4234, 60633, 126233, 432, 123808, 15592, 1197, 117132, 120618, 5, 2]





     @classmethod
     def      __A					(cls       )     ->   Union[str, Any]:
      _lowercase							      =MaMaaaTokenizer.from_pretrained(
          cls.checkpoint_name		,     src_lang='''en'''		,     tgt_lang='''fr'''       )
      _lowercase							      =1
      return cls





     def      __A					(self       )     ->   Any:
      self.assertEqual(self.tokenizer.get_lang_id('''ar'''       )		,     1_2_8_0_0_6       )
      self.assertEqual(self.tokenizer.get_lang_id('''en'''       )		,     1_2_8_0_2_2       )
      self.assertEqual(self.tokenizer.get_lang_id('''ro'''       )		,     1_2_8_0_7_6       )
      self.assertEqual(self.tokenizer.get_lang_id('''mr'''       )		,     1_2_8_0_6_3       )





     def      __A					(self       )     ->   List[Any]:
      _lowercase							      =self.tokenizer.get_vocab()
      self.assertEqual(len(UpperCAmelCase       )		,     self.tokenizer.vocab_size       )
      self.assertEqual(vocab['''<unk>''']		,     3       )
      self.assertIn(self.tokenizer.get_lang_token('''en'''       )		,     UpperCAmelCase       )





     def      __A					(self       )     ->   Dict:
      _lowercase							      ='''en'''
      _lowercase							      =self.tokenizer.batch_encode_plus(self.src_text       ).input_ids[0]
      self.assertListEqual(self.expected_src_tokens		,     UpperCAmelCase       )





     def      __A					(self       )     ->   List[Any]:
      self.assertIn(UpperCAmelCase		,     self.tokenizer.all_special_ids       )
      # fmt: off
      _lowercase							      =[FR_CODE, 5_3_6_4, 8_2, 8_6_4_2, 4, 2_9_4, 4_7, 8, 1_4_0_2_8, 1_3_6, 3_2_8_6, 9_7_0_6, 6, 9_0_7_9_7, 6, 1_4_4_0_1_2, 1_6_2, 8_8_1_2_8, 3_0_0_6_1, 5, 2]
      # fmt: on
      _lowercase							      =self.tokenizer.decode(UpperCAmelCase		,     skip_special_tokens=UpperCAmelCase       )
      _lowercase							      =self.tokenizer.decode(generated_ids[1:]		,     skip_special_tokens=UpperCAmelCase       )
      self.assertEqual(UpperCAmelCase		,     UpperCAmelCase       )
      self.assertNotIn(self.tokenizer.eos_token		,     UpperCAmelCase       )





     def      __A					(self       )     ->   Union[str, Any]:
      _lowercase							      =tempfile.mkdtemp()
      _lowercase							      =self.tokenizer.lang_token_to_id
      self.tokenizer.save_pretrained(UpperCAmelCase       )
      _lowercase							      =MaMaaaTokenizer.from_pretrained(UpperCAmelCase       )
      self.assertDictEqual(new_tok.lang_token_to_id		,     UpperCAmelCase       )





     @require_torch
     def      __A					(self       )     ->   Optional[Any]:
      _lowercase							      ='''en'''
      _lowercase							      ='''fr'''

      _lowercase							      =self.tokenizer(self.src_text		,     text_target=self.tgt_text		,     padding=UpperCAmelCase		,     return_tensors='''pt'''       )

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

      for k in batch:
       _lowercase							      =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      __A					(self       )     ->   str:
      _lowercase							      ='''mr'''
      self.assertListEqual(self.tokenizer.prefix_tokens		,     [self.tokenizer.get_lang_id('''mr'''       )]       )
      self.assertListEqual(self.tokenizer.suffix_tokens		,     [self.tokenizer.eos_token_id]       )

      _lowercase							      ='''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      __A					(self       )     ->   Any:
      _lowercase							      ='''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       )]       )

      _lowercase							      ='''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      __A					(self       )     ->   Optional[int]:
      _lowercase							      =self.tokenizer._build_translation_inputs('''A test'''		,     return_tensors='''pt'''		,     src_lang='''en'''		,     tgt_lang='''ar'''       )

      self.assertEqual(
          nested_simplify(UpperCAmelCase       )		,     {
              # en_XX, A, test, EOS
              '''input_ids''': [[1_2_8_0_2_2, 5_8, 4_1_8_3, 2]],
              '''attention_mask''': [[1, 1, 1, 1]],
              # ar_AR
              '''forced_bos_token_id''': 1_2_8_0_0_6,
          }		,     )





def 				UpperCAmelCase_					(							__snake_case     ,						__snake_case						)     ->			List[Any]:







 """simple docstring"""


 if b == 0:
  return 1
 if (b % 2) == 0:
  return actual_power(__snake_case     ,						int(b / 2						)						) * actual_power(__snake_case     ,						int(b / 2						)						)
 else:
  return a * actual_power(__snake_case     ,						int(b / 2						)						) * actual_power(__snake_case     ,						int(b / 2						)						)
def 				UpperCAmelCase_					(							__snake_case     ,						__snake_case						)     ->			float:







 """simple docstring"""


 if b < 0:
  return 1 / actual_power(__snake_case     ,						__snake_case						)
 return actual_power(__snake_case     ,						__snake_case						)


if __name__ == "__main__":
  print(power(-2, -3))

