
'''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():
     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_80_22
UpperCamelCase_   	=				12_80_28


@require_sentencepiece
class      a_     (snake_case__							,	unittest.TestCase			):
       __lowerCAmelCase			: Optional[int]			=					MaMaaaTokenizer
       __lowerCAmelCase			: Optional[Any]			=					False
       __lowerCAmelCase			: str			=					False
       __lowerCAmelCase			: Any			=					True




       def 							__UpperCamelCase				(   self     ):
         super().setUp()

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

         _lowerCAmelCase				:     Optional[int]       =    MaMaaaTokenizer.from_pretrained(self.tmpdirname     )
         tokenizer.save_pretrained(self.tmpdirname     )




       def 							__UpperCamelCase				(   self      ,      **snake_case_     ):
         return MaMaaaTokenizer.from_pretrained(self.tmpdirname      ,      **_A     )




       def 							__UpperCamelCase				(   self      ,      snake_case_     ):
         return (
             "This is a test",
             "This is a test",
         )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Tuple       =    '</s>'
         _lowerCAmelCase				:     Dict       =    0

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




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     List[Any]       =    self.get_tokenizer()
         _lowerCAmelCase				:     Dict       =    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(_A     )      ,      tokenizer.vocab_size + len(tokenizer.get_added_vocab()     )     )




       @unittest.skip("""Skip this test while all models are still to be uploaded."""     )
       def 							__UpperCamelCase				(   self     ):
         pass




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     List[str]       =    self.get_tokenizer()

         _lowerCAmelCase				:     List[str]       =    tokenizer.tokenize("""This is a test"""     )
         self.assertListEqual(_A      ,      ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]     )

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

         _lowerCAmelCase				:     Optional[int]       =    tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]     )
         self.assertListEqual(_A      ,      ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]     )

         _lowerCAmelCase				:     str       =    tokenizer.convert_tokens_to_string(_A     )
         self.assertEqual(_A      ,      """This is a test"""     )







       @slow
       def 							__UpperCamelCase				(   self     ):
         # fmt: off
         _lowerCAmelCase				:     List[Any]       =    {'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=_A      ,      model_name="""facebook/m2m100_418M"""      ,      revision="""c168bae485c864188cf9aa0e4108b0b6934dc91e"""      ,      )



@require_torch
@require_sentencepiece
@require_tokenizers
class      a_     (unittest.TestCase			):
       __lowerCAmelCase			: List[Any]			=					'''facebook/m2m100_418M'''
       __lowerCAmelCase			: Any			=					[
           '''In my opinion, there are two levels of response from the French government.''',
           '''NSA Affair Emphasizes Complete Lack of Debate on Intelligence''',
       ]
       __lowerCAmelCase			: Optional[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
       __lowerCAmelCase			: List[str]			=					[EN_CODE, 5_9_3, 1_9_4_9, 1_1_5_7_8_1, 4, 7_1_5_8_6, 4_2_3_4, 6_0_6_3_3, 1_2_6_2_3_3, 4_3_2, 1_2_3_8_0_8, 1_5_5_9_2, 1_1_9_7, 1_1_7_1_3_2, 1_2_0_6_1_8, 5, 2]




       @classmethod
       def 							__UpperCamelCase				(   cls     ):
         _lowerCAmelCase				:     MaMaaaTokenizer       =    MaMaaaTokenizer.from_pretrained(
             cls.checkpoint_name      ,      src_lang="""en"""      ,      tgt_lang="""fr"""     )
         _lowerCAmelCase				:     Optional[Any]       =    1
         return cls




       def 							__UpperCamelCase				(   self     ):
         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 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     List[Any]       =    self.tokenizer.get_vocab()
         self.assertEqual(len(_A     )      ,      self.tokenizer.vocab_size     )
         self.assertEqual(vocab["""<unk>"""]      ,      3     )
         self.assertIn(self.tokenizer.get_lang_token("""en"""     )      ,      _A     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Any       =    'en'
         _lowerCAmelCase				:     int       =    self.tokenizer.batch_encode_plus(self.src_text     ).input_ids[0]
         self.assertListEqual(self.expected_src_tokens      ,      _A     )




       def 							__UpperCamelCase				(   self     ):
         self.assertIn(_A      ,      self.tokenizer.all_special_ids     )
         # fmt: off
         _lowerCAmelCase				:     str       =    [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
         _lowerCAmelCase				:     str       =    self.tokenizer.decode(_A      ,      skip_special_tokens=_A     )
         _lowerCAmelCase				:     int       =    self.tokenizer.decode(generated_ids[1:]      ,      skip_special_tokens=_A     )
         self.assertEqual(_A      ,      _A     )
         self.assertNotIn(self.tokenizer.eos_token      ,      _A     )




       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     int       =    tempfile.mkdtemp()
         _lowerCAmelCase				:     int       =    self.tokenizer.lang_token_to_id
         self.tokenizer.save_pretrained(_A     )
         _lowerCAmelCase				:     Union[str, Any]       =    MaMaaaTokenizer.from_pretrained(_A     )
         self.assertDictEqual(new_tok.lang_token_to_id      ,      _A     )




       @require_torch
       def 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     List[Any]       =    'en'
         _lowerCAmelCase				:     Tuple       =    'fr'

         _lowerCAmelCase				:     List[str]       =    self.tokenizer(self.src_text      ,      text_target=self.tgt_text      ,      padding=_A      ,      return_tensors="""pt"""     )

         _lowerCAmelCase				:     Union[str, Any]       =    shift_tokens_right(
             batch["""labels"""]      ,      self.tokenizer.pad_token_id      ,      self.tokenizer.eos_token_id     )

         for k in batch:
           _lowerCAmelCase				:     str       =    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 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Tuple       =    '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				:     List[Any]       =    '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 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     int       =    '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				:     Optional[Any]       =    '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 							__UpperCamelCase				(   self     ):
         _lowerCAmelCase				:     Any       =    self.tokenizer._build_translation_inputs("""A test"""      ,      return_tensors="""pt"""      ,      src_lang="""en"""      ,      tgt_lang="""ar"""     )

         self.assertEqual(
             nested_simplify(_A     )      ,      {
                 # 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  _SCREAMING_SNAKE_CASE				(   a  )      ->      Tuple:
					__A    ,				__A	:						Optional[Any]       =				[], []
					while len(a  ) > 1:
										__A    ,				__A	:						Any       =				min(a  ), max(a  )
										start.append(a  )
										end.append(a  )
										collection.remove(a  )
										collection.remove(a  )
					end.reverse()
					return start + collection + end


if __name__ == "__main__":
				UpperCAmelCase						:   int			  =     input('''Enter numbers separated by a comma:\n''').strip()
				UpperCAmelCase						:   Dict			  =     [int(item) for item in user_input.split(''',''')]
				print(*merge_sort(unsorted), sep=''',''')




