


'''simple docstring'''

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():
     a_						:       Union[str, Any]      			=				get_tests_dir("""fixtures/test_sentencepiece.model""")


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

a_						:       Optional[int]      			=				128022
a_						:       Optional[int]      			=				128028





@require_sentencepiece
class   snake_case					(					lowercase    ,		unittest.TestCase    ):





  """simple docstring"""




  _lowerCamelCase						=						MaMaaaTokenizer
  _lowerCamelCase						=						False
  _lowerCamelCase						=						False
  _lowerCamelCase						=						True






  def 						snake_case	(					self  ):







   """simple docstring"""
   super().setUp()

   lowerCamelCase_  				=						["</s>", "<unk>", "▁This", "▁is", "▁a", "▁t", "est", "\u0120", "<pad>"]
   lowerCamelCase_  				=						dict(zip(UpperCamelCase    ,						range(len(UpperCamelCase  )  )  )  )
   lowerCamelCase_  				=						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"]  )

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






  def 						snake_case	(					self    ,						**UpperCamelCase  ):







   """simple docstring"""
   return MaMaaaTokenizer.from_pretrained(self.tmpdirname    ,						**UpperCamelCase  )






  def 						snake_case	(					self    ,						UpperCamelCase  ):







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






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						"</s>"
   lowerCamelCase_  				=						0

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






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						self.get_tokenizer()
   lowerCamelCase_  				=						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 						snake_case	(					self  ):







   """simple docstring"""
   pass






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						self.get_tokenizer()

   lowerCamelCase_  				=						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]    ,						)

   lowerCamelCase_  				=						tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]  )
   self.assertListEqual(UpperCamelCase    ,						["▁This", "▁is", "▁a", "▁t", "est"]  )

   lowerCamelCase_  				=						tokenizer.convert_tokens_to_string(UpperCamelCase  )
   self.assertEqual(UpperCamelCase    ,						"This is a test"  )







  @slow
  def 						snake_case	(					self  ):







   """simple docstring"""
   # fmt: off
   lowerCamelCase_  				=						{"input_ids": [[12_8022, 11_0108, 397, 11, 3_8272, 2247, 12_4811, 285, 1_8105, 1586, 207, 7, 3_9534, 4428, 397, 1019, 1_8105, 1586, 207, 7, 4_1337, 1_6786, 241, 7, 2_0214, 17, 12_5690, 1_0398, 7, 4_4378, 5_8069, 6_8342, 7798, 7343, 11, 299, 3_3310, 4, 158, 3_7350, 9_4077, 4569, 299, 3_3310, 90, 4, 5_2840, 290, 4, 3_1270, 112, 299, 682, 4, 5_2840, 3_9953, 1_4079, 193, 5_2519, 9_0894, 1_7894, 12_0697, 11, 4_0445, 551, 17, 1019, 5_2519, 9_0894, 1_7756, 963, 11, 4_0445, 480, 17, 9792, 1120, 5173, 1393, 6240, 1_6786, 241, 12_0996, 28, 1245, 1393, 11_8240, 1_1123, 1019, 9_3612, 2691, 1_0618, 9_8058, 12_0409, 1928, 279, 4, 4_0683, 367, 178, 207, 1019, 103, 10_3121, 506, 6_5296, 5, 2], [12_8022, 2_1217, 367, 117, 12_5450, 128, 719, 7, 7308, 40, 9_3612, 1_2669, 1116, 1_6704, 71, 1_7785, 3699, 1_5592, 35, 144, 9584, 241, 1_1943, 713, 950, 799, 2247, 8_8427, 150, 149, 11_8813, 12_0706, 1019, 10_6906, 8_1518, 28, 1224, 2_2799, 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], [12_8022, 1658, 12_3311, 5155, 5578, 4722, 279, 1_4947, 2366, 1120, 1197, 14, 1348, 9232, 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   snake_case					(					unittest.TestCase    ):





  """simple docstring"""




  _lowerCamelCase						=						"facebook/m2m100_418M"
  _lowerCamelCase						=						[
      "In my opinion, there are two levels of response from the French government.",
      "NSA Affair Emphasizes Complete Lack of Debate on Intelligence",
  ]
  _lowerCamelCase						=						[
      "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
  _lowerCamelCase						=						[EN_CODE, 5_93, 19_49, 11_57_81, 4, 7_15_86, 42_34, 6_06_33, 12_62_33, 4_32, 12_38_08, 1_55_92, 11_97, 11_71_32, 12_06_18, 5, 2]






  @classmethod
  def 						snake_case	(					cls  ):







   """simple docstring"""
   lowerCamelCase_  				=						MaMaaaTokenizer.from_pretrained(
       cls.checkpoint_name    ,						src_lang="en"    ,						tgt_lang="fr"  )
   lowerCamelCase_  				=						1
   return cls






  def 						snake_case	(					self  ):







   """simple docstring"""
   self.assertEqual(self.tokenizer.get_lang_id("ar"  )    ,						12_8006  )
   self.assertEqual(self.tokenizer.get_lang_id("en"  )    ,						12_8022  )
   self.assertEqual(self.tokenizer.get_lang_id("ro"  )    ,						12_8076  )
   self.assertEqual(self.tokenizer.get_lang_id("mr"  )    ,						12_8063  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						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 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						"en"
   lowerCamelCase_  				=						self.tokenizer.batch_encode_plus(self.src_text  ).input_ids[0]
   self.assertListEqual(self.expected_src_tokens    ,						UpperCamelCase  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   self.assertIn(UpperCamelCase    ,						self.tokenizer.all_special_ids  )
   # fmt: off
   lowerCamelCase_  				=						[FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 1_4028, 136, 3286, 9706, 6, 9_0797, 6, 14_4012, 162, 8_8128, 3_0061, 5, 2]
   # fmt: on
   lowerCamelCase_  				=						self.tokenizer.decode(UpperCamelCase    ,						skip_special_tokens=UpperCamelCase  )
   lowerCamelCase_  				=						self.tokenizer.decode(generated_ids[1:]    ,						skip_special_tokens=UpperCamelCase  )
   self.assertEqual(UpperCamelCase    ,						UpperCamelCase  )
   self.assertNotIn(self.tokenizer.eos_token    ,						UpperCamelCase  )






  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						tempfile.mkdtemp()
   lowerCamelCase_  				=						self.tokenizer.lang_token_to_id
   self.tokenizer.save_pretrained(UpperCamelCase  )
   lowerCamelCase_  				=						MaMaaaTokenizer.from_pretrained(UpperCamelCase  )
   self.assertDictEqual(new_tok.lang_token_to_id    ,						UpperCamelCase  )






  @require_torch
  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						"en"
   lowerCamelCase_  				=						"fr"

   lowerCamelCase_  				=						self.tokenizer(self.src_text    ,						text_target=self.tgt_text    ,						padding=UpperCamelCase    ,						return_tensors="pt"  )

   lowerCamelCase_  				=						shift_tokens_right(
       batch["labels"]    ,						self.tokenizer.pad_token_id    ,						self.tokenizer.eos_token_id  )

   for k in batch:
    lowerCamelCase_  				=						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 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						"mr"
   self.assertListEqual(self.tokenizer.prefix_tokens    ,						[self.tokenizer.get_lang_id("mr"  )]  )
   self.assertListEqual(self.tokenizer.suffix_tokens    ,						[self.tokenizer.eos_token_id]  )

   lowerCamelCase_  				=						"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 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						"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  )]  )

   lowerCamelCase_  				=						"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 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						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": [[12_8022, 58, 4183, 2]],
           "attention_mask": [[1, 1, 1, 1]],
           # ar_AR
           "forced_bos_token_id": 12_8006,
       }    ,						)







'''simple docstring'''

def __snake_case      (   UpperCAmelCase_		:		int = 100	):
 lowerCamelCase_  				=						n * (n + 1) * (2 * n + 1) / 6
 lowerCamelCase_  				=						(n * (n + 1) / 2) ** 2
 return int(square_of_sum - sum_of_squares	)


if __name__ == "__main__":
     print(f'''{solution() = }''')



