

'''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_    						=       128022
UpperCamelCase_    						=       128028





@require_sentencepiece
class 		__SCREAMING_SNAKE_CASE							(			lowercase__						,							unittest.TestCase      ):
				lowerCamelCase_		       =    MaMaaaTokenizer
				lowerCamelCase_		       =    False
				lowerCamelCase_		       =    False
				lowerCamelCase_		       =    True







				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										super().setUp()

										lowercase :							List[str]    		=['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
										lowercase :							Optional[int]    		=dict(zip(A_		,					range(len(A_   )   )   )   )
										lowercase :							Dict    		=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''']   )

										lowercase :							List[Any]    		=MaMaaaTokenizer.from_pretrained(self.tmpdirname   )
										tokenizer.save_pretrained(self.tmpdirname   )







				def  lowerCamelCase_	(       self     :		Optional[int]		,					**UpperCAmelCase__     :		Union[str, Any]   ):
										'''simple docstring'''
										return MaMaaaTokenizer.from_pretrained(self.tmpdirname		,					**A_   )







				def  lowerCamelCase_	(       self     :		Any		,					UpperCAmelCase__     :		Optional[Any]   ):
										'''simple docstring'''
										return (
										    "This is a test",
										    "This is a test",
										)







				def  lowerCamelCase_	(       self     :		Optional[Any]   ):
										'''simple docstring'''
										lowercase :							Union[str, Any]    		='''</s>'''
										lowercase :							List[Any]    		=0

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







				def  lowerCamelCase_	(       self     :		Optional[Any]   ):
										'''simple docstring'''
										lowercase :							Optional[int]    		=self.get_tokenizer()
										lowercase :							Optional[int]    		=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  lowerCamelCase_	(       self     :		Optional[int]   ):
										'''simple docstring'''
										pass







				def  lowerCamelCase_	(       self     :		Any   ):
										'''simple docstring'''
										lowercase :							int    		=self.get_tokenizer()

										lowercase :							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]		,					)

										lowercase :							List[Any]    		=tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]   )
										self.assertListEqual(A_		,					['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']   )

										lowercase :							Tuple    		=tokenizer.convert_tokens_to_string(A_   )
										self.assertEqual(A_		,					'''This is a test'''   )







				@slow
				def  lowerCamelCase_	(       self     :		Tuple   ):
										'''simple docstring'''
										# fmt: off
										lowercase :							Union[str, Any]    		={'''input_ids''': [[128022, 110108, 397, 11, 38272, 2247, 124811, 285, 18105, 1586, 207, 7, 39534, 4428, 397, 1019, 18105, 1586, 207, 7, 41337, 16786, 241, 7, 20214, 17, 125690, 10398, 7, 44378, 58069, 68342, 7798, 7343, 11, 299, 33310, 4, 158, 37350, 94077, 4569, 299, 33310, 90, 4, 52840, 290, 4, 31270, 112, 299, 682, 4, 52840, 39953, 14079, 193, 52519, 90894, 17894, 120697, 11, 40445, 551, 17, 1019, 52519, 90894, 17756, 963, 11, 40445, 480, 17, 9792, 1120, 5173, 1393, 6240, 16786, 241, 120996, 28, 1245, 1393, 118240, 11123, 1019, 93612, 2691, 10618, 98058, 120409, 1928, 279, 4, 40683, 367, 178, 207, 1019, 103, 103121, 506, 65296, 5, 2], [128022, 21217, 367, 117, 125450, 128, 719, 7, 7308, 40, 93612, 12669, 1116, 16704, 71, 17785, 3699, 15592, 35, 144, 9584, 241, 11943, 713, 950, 799, 2247, 88427, 150, 149, 118813, 120706, 1019, 106906, 81518, 28, 1224, 22799, 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], [128022, 1658, 123311, 5155, 5578, 4722, 279, 14947, 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=A_		,					model_name='''facebook/m2m100_418M'''		,					revision='''c168bae485c864188cf9aa0e4108b0b6934dc91e'''		,					)





@require_torch
@require_sentencepiece
@require_tokenizers
class 		__SCREAMING_SNAKE_CASE							(			unittest.TestCase      ):
				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  lowerCamelCase_	(       cls     :		List[str]   ):
										'''simple docstring'''
										lowercase :							Any    		=MaMaaaTokenizer.from_pretrained(
										    cls.checkpoint_name		,					src_lang='''en'''		,					tgt_lang='''fr'''   )
										lowercase :							List[str]    		=1
										return cls







				def  lowerCamelCase_	(       self     :		Tuple   ):
										'''simple docstring'''
										self.assertEqual(self.tokenizer.get_lang_id('''ar'''   )		,					128006   )
										self.assertEqual(self.tokenizer.get_lang_id('''en'''   )		,					128022   )
										self.assertEqual(self.tokenizer.get_lang_id('''ro'''   )		,					128076   )
										self.assertEqual(self.tokenizer.get_lang_id('''mr'''   )		,					128063   )







				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										lowercase :							Tuple    		=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  lowerCamelCase_	(       self     :		Optional[int]   ):
										'''simple docstring'''
										lowercase :							int    		='''en'''
										lowercase :							str    		=self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
										self.assertListEqual(self.expected_src_tokens		,					A_   )







				def  lowerCamelCase_	(       self     :		Dict   ):
										'''simple docstring'''
										self.assertIn(A_		,					self.tokenizer.all_special_ids   )
										# fmt: off
										lowercase :							Optional[int]    		=[FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 14028, 136, 3286, 9706, 6, 90797, 6, 144012, 162, 88128, 30061, 5, 2]
										# fmt: on
										lowercase :							Dict    		=self.tokenizer.decode(A_		,					skip_special_tokens=A_   )
										lowercase :							List[str]    		=self.tokenizer.decode(generated_ids[1:]		,					skip_special_tokens=A_   )
										self.assertEqual(A_		,					A_   )
										self.assertNotIn(self.tokenizer.eos_token		,					A_   )







				def  lowerCamelCase_	(       self     :		List[Any]   ):
										'''simple docstring'''
										lowercase :							List[str]    		=tempfile.mkdtemp()
										lowercase :							Optional[Any]    		=self.tokenizer.lang_token_to_id
										self.tokenizer.save_pretrained(A_   )
										lowercase :							List[str]    		=MaMaaaTokenizer.from_pretrained(A_   )
										self.assertDictEqual(new_tok.lang_token_to_id		,					A_   )







				@require_torch
				def  lowerCamelCase_	(       self     :		Optional[int]   ):
										'''simple docstring'''
										lowercase :							Any    		='''en'''
										lowercase :							List[Any]    		='''fr'''

										lowercase :							Optional[int]    		=self.tokenizer(self.src_text		,					text_target=self.tgt_text		,					padding=A_		,					return_tensors='''pt'''   )

										lowercase :							List[str]    		=shift_tokens_right(
										    batch['''labels''']		,					self.tokenizer.pad_token_id		,					self.tokenizer.eos_token_id   )

										for k in batch:
																lowercase :							Tuple    		=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     :		Union[str, Any]   ):
										'''simple docstring'''
										lowercase :							Any    		='''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 :							Union[str, 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  lowerCamelCase_	(       self     :		Optional[Any]   ):
										'''simple docstring'''
										lowercase :							str    		='''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 :							Tuple    		='''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     :		Any   ):
										'''simple docstring'''
										lowercase :							List[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''': [[128022, 58, 4183, 2]],
										        '''attention_mask''': [[1, 1, 1, 1]],
										        # ar_AR
										        '''forced_bos_token_id''': 128006,
										    }		,					)












def 				_UpperCAmelCase			(    A     ):




   '''simple docstring'''

   for i in range(len(A     ) - 1				,							0				,							-1     ):
      UpperCAmelCase__						=False

      for j in range(A				,							0				,							-1     ):
         if unsorted[j] < unsorted[j - 1]:
            UpperCAmelCase__			,							UpperCAmelCase__						=unsorted[j - 1], unsorted[j]
            UpperCAmelCase__						=True

      for j in range(A     ):
         if unsorted[j] > unsorted[j + 1]:
            UpperCAmelCase__			,							UpperCAmelCase__						=unsorted[j + 1], unsorted[j]
            UpperCAmelCase__						=True

      if not swapped:
         break
   return unsorted


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    UpperCamelCase_												=	input('Enter numbers separated by a comma:\n').strip()
    UpperCamelCase_												=	[int(item) for item in user_input.split(',')]
    print(f"""{cocktail_shaker_sort(unsorted) = }""")



