




"""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__						=			1_2_8_0_2_2
UpperCamelCase__						=			1_2_8_0_2_8




@require_sentencepiece
class   a__			(       __lowercase					,	unittest.TestCase  ):
						snake_case__             = MaMaaaTokenizer
						snake_case__             = False
						snake_case__             = False
						snake_case__             = True





						def       __UpperCamelCase     (							self      :	str)						->       Optional[int]:




											"""simple docstring"""







											super().setUp()

											_lowerCAmelCase:Any									=["""</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est""", """\u0120""", """<pad>"""]
											_lowerCAmelCase:Tuple									=dict(zip(__a     ,range(len(__a))))
											_lowerCAmelCase:str									=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:List[str]									=MaMaaaTokenizer.from_pretrained(self.tmpdirname)
											tokenizer.save_pretrained(self.tmpdirname)





						def       __UpperCamelCase     (							self      :	Optional[Any]     ,**a__      :	Any)						->       str:




											"""simple docstring"""







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





						def       __UpperCamelCase     (							self      :	Union[str, Any]     ,a__      :	List[Any])						->       Union[str, Any]:




											"""simple docstring"""







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





						def       __UpperCamelCase     (							self      :	Tuple)						->       int:




											"""simple docstring"""







											_lowerCAmelCase:List[str]									="""</s>"""
											_lowerCAmelCase:Union[str, 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       __UpperCamelCase     (							self      :	Optional[Any])						->       Dict:




											"""simple docstring"""







											_lowerCAmelCase:Optional[Any]									=self.get_tokenizer()
											_lowerCAmelCase:List[Any]									=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      :	str)						->       str:




											"""simple docstring"""







											pass





						def       __UpperCamelCase     (							self      :	Tuple)						->       Dict:




											"""simple docstring"""







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

											_lowerCAmelCase:List[Any]									=tokenizer.convert_tokens_to_string(__a)
											self.assertEqual(__a     ,'''This is a test''')







						@slow
						def       __UpperCamelCase     (							self      :	Any)						->       List[str]:




											"""simple docstring"""







											_lowerCAmelCase:Union[str, Any]									={"""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=__a     ,model_name='''facebook/m2m100_418M'''     ,revision='''c168bae485c864188cf9aa0e4108b0b6934dc91e'''     ,)




@require_torch
@require_sentencepiece
@require_tokenizers
class   a__			(       unittest.TestCase  ):
						snake_case__             = '''facebook/m2m100_418M'''
						snake_case__             = [
						    '''In my opinion, there are two levels of response from the French government.''',
						    '''NSA Affair Emphasizes Complete Lack of Debate on Intelligence''',
						]
						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
						snake_case__             = [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      :	Union[str, Any])						->       List[str]:




											"""simple docstring"""







											_lowerCAmelCase:MaMaaaTokenizer									=MaMaaaTokenizer.from_pretrained(
											    cls.checkpoint_name     ,src_lang='''en'''     ,tgt_lang='''fr''')
											_lowerCAmelCase:List[str]									=1
											return cls





						def       __UpperCamelCase     (							self      :	int)						->       Any:




											"""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       __UpperCamelCase     (							self      :	List[Any])						->       Union[str, Any]:




											"""simple docstring"""







											_lowerCAmelCase:Optional[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      :	Tuple)						->       Optional[Any]:




											"""simple docstring"""







											_lowerCAmelCase:str									="""en"""
											_lowerCAmelCase:List[Any]									=self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
											self.assertListEqual(self.expected_src_tokens     ,__a)





						def       __UpperCamelCase     (							self      :	List[Any])						->       int:




											"""simple docstring"""







											self.assertIn(__a     ,self.tokenizer.all_special_ids)
											# fmt: off
											_lowerCAmelCase:Optional[int]									=[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:Any									=self.tokenizer.decode(__a     ,skip_special_tokens=__a)
											_lowerCAmelCase:Union[str, Any]									=self.tokenizer.decode(generated_ids[1:]     ,skip_special_tokens=__a)
											self.assertEqual(__a     ,__a)
											self.assertNotIn(self.tokenizer.eos_token     ,__a)





						def       __UpperCamelCase     (							self      :	List[str])						->       List[str]:




											"""simple docstring"""







											_lowerCAmelCase:Optional[int]									=tempfile.mkdtemp()
											_lowerCAmelCase:Any									=self.tokenizer.lang_token_to_id
											self.tokenizer.save_pretrained(__a)
											_lowerCAmelCase:Tuple									=MaMaaaTokenizer.from_pretrained(__a)
											self.assertDictEqual(new_tok.lang_token_to_id     ,__a)





						@require_torch
						def       __UpperCamelCase     (							self      :	Tuple)						->       str:




											"""simple docstring"""







											_lowerCAmelCase:Optional[Any]									="""en"""
											_lowerCAmelCase:List[str]									="""fr"""

											_lowerCAmelCase:int									=self.tokenizer(self.src_text     ,text_target=self.tgt_text     ,padding=__a     ,return_tensors='''pt''')

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

											for k in batch:
																_lowerCAmelCase:Optional[Any]									=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      :	Union[str, Any])						->       Union[str, Any]:




											"""simple docstring"""







											_lowerCAmelCase:Optional[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])

											_lowerCAmelCase:Tuple									="""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      :	Any)						->       Optional[int]:




											"""simple docstring"""







											_lowerCAmelCase:Any									="""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: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      :	Optional[int])						->       Optional[Any]:




											"""simple docstring"""







											_lowerCAmelCase:Optional[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''': [[12_8022, 58, 4183, 2]],
											        '''attention_mask''': [[1, 1, 1, 1]],
											        # ar_AR
											        '''forced_bos_token_id''': 12_8006,
											    }     ,)












"""simple docstring"""






def 							UpperCAmelCase		(		snake_case			:					int      ,       snake_case			:					int    ):
					return x if y == 0 else greatest_common_divisor(snake_case      ,       x % y    )





def 							UpperCAmelCase		(		snake_case			:					int      ,       snake_case			:					int    ):
					return (x * y) // greatest_common_divisor(snake_case      ,       snake_case    )





def 							UpperCAmelCase		(		snake_case			:					int = 20    ):
					_lowerCAmelCase:List[Any]									=  1
					for i in range(1      ,       n + 1    ):
										_lowerCAmelCase:List[str]									=  lcm(snake_case      ,       snake_case    )
					return g


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






