


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


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

lowerCamelCase						=		12_8022
lowerCamelCase						=		12_8028





@require_sentencepiece
class  _a							(    _lowercase					,						unittest.TestCase):
	_a  :  List[str]				   =							MaMaaaTokenizer
	_a  :  int				   =							False
	_a  :  str				   =							False
	_a  :  str				   =							True




	def 							UpperCAmelCase__( self						:		Tuple		)->	List[str]:
			super().setUp()

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

			lowerCAmelCase__       :      Union[str, Any]   					= MaMaaaTokenizer.from_pretrained(self.tmpdirname		)
			tokenizer.save_pretrained(self.tmpdirname		)




	def 							UpperCAmelCase__( self						:		List[Any]		, **_SCREAMING_SNAKE_CASE						:		Union[str, Any]		)->	Optional[Any]:
			return MaMaaaTokenizer.from_pretrained(self.tmpdirname		, **_SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		Tuple		, _SCREAMING_SNAKE_CASE						:		Tuple		)->	Optional[int]:
			return (
			    "This is a test",
			    "This is a test",
			)




	def 							UpperCAmelCase__( self						:		str		)->	str:
			lowerCAmelCase__       :      Tuple   					= '''</s>'''
			lowerCAmelCase__       :      Optional[Any]   					= 0

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




	def 							UpperCAmelCase__( self						:		Optional[int]		)->	Optional[Any]:
			lowerCAmelCase__       :      Tuple   					= self.get_tokenizer()
			lowerCAmelCase__       :      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(_SCREAMING_SNAKE_CASE		)		, tokenizer.vocab_size + len(tokenizer.get_added_vocab()		)		)




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




	def 							UpperCAmelCase__( self						:		Optional[int]		)->	List[str]:
			lowerCAmelCase__       :      Union[str, Any]   					= self.get_tokenizer()

			lowerCAmelCase__       :      Any   					= tokenizer.tokenize('''This is a test'''		)
			self.assertListEqual(_SCREAMING_SNAKE_CASE		, ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']		)

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

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

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




	@slow
	def 							UpperCAmelCase__( self						:		Any		)->	int:
			# fmt: off
			lowerCAmelCase__       :      Tuple   					= {'''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=_SCREAMING_SNAKE_CASE		, model_name='''facebook/m2m100_418M'''		, revision='''c168bae485c864188cf9aa0e4108b0b6934dc91e'''		, )





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




	@classmethod
	def 							UpperCAmelCase__( cls						:		int		)->	str:
			lowerCAmelCase__       :      MaMaaaTokenizer   					= MaMaaaTokenizer.from_pretrained(
			    cls.checkpoint_name		, src_lang='''en'''		, tgt_lang='''fr'''		)
			lowerCAmelCase__       :      List[Any]   					= 1
			return cls




	def 							UpperCAmelCase__( self						:		List[Any]		)->	Optional[Any]:
			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						:		Tuple		)->	Any:
			lowerCAmelCase__       :      Union[str, Any]   					= self.tokenizer.get_vocab()
			self.assertEqual(len(_SCREAMING_SNAKE_CASE		)		, self.tokenizer.vocab_size		)
			self.assertEqual(vocab['''<unk>''']		, 3		)
			self.assertIn(self.tokenizer.get_lang_token('''en'''		)		, _SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		Tuple		)->	Any:
			lowerCAmelCase__       :      Any   					= '''en'''
			lowerCAmelCase__       :      Optional[Any]   					= self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
			self.assertListEqual(self.expected_src_tokens		, _SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		List[str]		)->	Any:
			self.assertIn(_SCREAMING_SNAKE_CASE		, self.tokenizer.all_special_ids		)
			# fmt: off
			lowerCAmelCase__       :      Union[str, Any]   					= [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__       :      Dict   					= self.tokenizer.decode(_SCREAMING_SNAKE_CASE		, skip_special_tokens=_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      Optional[Any]   					= self.tokenizer.decode(generated_ids[1:]		, skip_special_tokens=_SCREAMING_SNAKE_CASE		)
			self.assertEqual(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		)
			self.assertNotIn(self.tokenizer.eos_token		, _SCREAMING_SNAKE_CASE		)




	def 							UpperCAmelCase__( self						:		Optional[int]		)->	List[Any]:
			lowerCAmelCase__       :      int   					= tempfile.mkdtemp()
			lowerCAmelCase__       :      Dict   					= self.tokenizer.lang_token_to_id
			self.tokenizer.save_pretrained(_SCREAMING_SNAKE_CASE		)
			lowerCAmelCase__       :      List[Any]   					= MaMaaaTokenizer.from_pretrained(_SCREAMING_SNAKE_CASE		)
			self.assertDictEqual(new_tok.lang_token_to_id		, _SCREAMING_SNAKE_CASE		)




	@require_torch
	def 							UpperCAmelCase__( self						:		Optional[int]		)->	List[Any]:
			lowerCAmelCase__       :      List[str]   					= '''en'''
			lowerCAmelCase__       :      Any   					= '''fr'''

			lowerCAmelCase__       :      List[Any]   					= self.tokenizer(self.src_text		, text_target=self.tgt_text		, padding=_SCREAMING_SNAKE_CASE		, return_tensors='''pt'''		)

			lowerCAmelCase__       :      int   					= 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						:		List[Any]		)->	Dict:
			lowerCAmelCase__       :      Optional[int]   					= '''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__       :      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 							UpperCAmelCase__( self						:		List[str]		)->	int:
			lowerCAmelCase__       :      Optional[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						:		Optional[int]		)->	int:
			lowerCAmelCase__       :      Union[str, Any]   					= self.tokenizer._build_translation_inputs('''A test'''		, return_tensors='''pt'''		, src_lang='''en'''		, tgt_lang='''ar'''		)

			self.assertEqual(
			    nested_simplify(_SCREAMING_SNAKE_CASE		)		, {
			        # 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,
			    }		, )








def 					lowerCamelCase_   (	_a	):




		"""simple docstring"""






		if number < 0:
				raise ValueError('''number must not be negative'''	)
		return number & (number - 1) == 0


if __name__ == "__main__":
		import doctest

		doctest.testmod()




