
'''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 :   int			    =	get_tests_dir("""fixtures/test_sentencepiece.model""")


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

_UpperCAmelCase :   Tuple			    =	128022
_UpperCAmelCase :   Dict			    =	128028

@require_sentencepiece
class       UpperCAmelCase					(       lowerCAmelCase__	,		unittest.TestCase			):





		"""simple docstring"""





		A__	: List[Any]    =     MaMaaaTokenizer
		A__	: Tuple    =     False
		A__	: Dict    =     False
		A__	: int    =     True
		def _lowercase	(     self  )					->     List[Any]:
				super().setUp()

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

				_UpperCamelCase							:			int     =   MaMaaaTokenizer.from_pretrained(self.tmpdirname  )
				tokenizer.save_pretrained(self.tmpdirname  )
		def _lowercase	(     self	,       **_snake_case  )					->     Optional[Any]:
				return MaMaaaTokenizer.from_pretrained(self.tmpdirname	,       **__lowerCAmelCase  )
		def _lowercase	(     self	,       _snake_case  )					->     Tuple:
				return (
				    "This is a test",
				    "This is a test",
				)
		def _lowercase	(     self  )					->     str:
				_UpperCamelCase							:			Dict     =   '''</s>'''
				_UpperCamelCase							:			Any     =   0

				self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowerCAmelCase  )	,       __lowerCAmelCase  )
				self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowerCAmelCase  )	,       __lowerCAmelCase  )
		def _lowercase	(     self  )					->     Optional[Any]:
				_UpperCamelCase							:			int     =   self.get_tokenizer()
				_UpperCamelCase							:			Tuple     =   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(__lowerCAmelCase  )	,       tokenizer.vocab_size + len(tokenizer.get_added_vocab()  )  )
		@unittest.skip('''Skip this test while all models are still to be uploaded.'''  )
		def _lowercase	(     self  )					->     Optional[int]:
				pass
		def _lowercase	(     self  )					->     List[Any]:
				_UpperCamelCase							:			Tuple     =   self.get_tokenizer()

				_UpperCamelCase							:			Optional[int]     =   tokenizer.tokenize('''This is a test'''  )
				self.assertListEqual(__lowerCAmelCase	,       ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']  )

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

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

				_UpperCamelCase							:			str     =   tokenizer.convert_tokens_to_string(__lowerCAmelCase  )
				self.assertEqual(__lowerCAmelCase	,       '''This is a test'''  )




		@slow
		def _lowercase	(     self  )					->     List[str]:
				_UpperCamelCase							:			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=__lowerCAmelCase	,       model_name='''facebook/m2m100_418M'''	,       revision='''c168bae485c864188cf9aa0e4108b0b6934dc91e'''	,       )







@require_torch
@require_sentencepiece
@require_tokenizers
class       UpperCAmelCase					(       unittest.TestCase			):





		"""simple docstring"""





		A__	: Any    =     '''facebook/m2m100_418M'''
		A__	: Dict    =     [
		    '''In my opinion, there are two levels of response from the French government.''',
		    '''NSA Affair Emphasizes Complete Lack of Debate on Intelligence''',
		]
		A__	: Tuple    =     [
		    '''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__	: Optional[int]    =     [EN_CODE, 593, 1949, 115781, 4, 71586, 4234, 60633, 126233, 432, 123808, 15592, 1197, 117132, 120618, 5, 2]
		@classmethod
		def _lowercase	(     cls  )					->     Optional[int]:
				_UpperCamelCase							:			Any     =   MaMaaaTokenizer.from_pretrained(
				    cls.checkpoint_name	,       src_lang='''en'''	,       tgt_lang='''fr'''  )
				_UpperCamelCase							:			Optional[int]     =   1
				return cls
		def _lowercase	(     self  )					->     Union[str, Any]:
				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 _lowercase	(     self  )					->     Optional[int]:
				_UpperCamelCase							:			str     =   self.tokenizer.get_vocab()
				self.assertEqual(len(__lowerCAmelCase  )	,       self.tokenizer.vocab_size  )
				self.assertEqual(vocab['''<unk>''']	,       3  )
				self.assertIn(self.tokenizer.get_lang_token('''en'''  )	,       __lowerCAmelCase  )
		def _lowercase	(     self  )					->     List[Any]:
				_UpperCamelCase							:			Dict     =   '''en'''
				_UpperCamelCase							:			str     =   self.tokenizer.batch_encode_plus(self.src_text  ).input_ids[0]
				self.assertListEqual(self.expected_src_tokens	,       __lowerCAmelCase  )
		def _lowercase	(     self  )					->     List[Any]:
				self.assertIn(__lowerCAmelCase	,       self.tokenizer.all_special_ids  )
				# fmt: off
				_UpperCamelCase							:			List[str]     =   [FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 14028, 136, 3286, 9706, 6, 90797, 6, 144012, 162, 88128, 30061, 5, 2]
				# fmt: on
				_UpperCamelCase							:			int     =   self.tokenizer.decode(__lowerCAmelCase	,       skip_special_tokens=__lowerCAmelCase  )
				_UpperCamelCase							:			Any     =   self.tokenizer.decode(generated_ids[1:]	,       skip_special_tokens=__lowerCAmelCase  )
				self.assertEqual(__lowerCAmelCase	,       __lowerCAmelCase  )
				self.assertNotIn(self.tokenizer.eos_token	,       __lowerCAmelCase  )
		def _lowercase	(     self  )					->     str:
				_UpperCamelCase							:			Union[str, Any]     =   tempfile.mkdtemp()
				_UpperCamelCase							:			str     =   self.tokenizer.lang_token_to_id
				self.tokenizer.save_pretrained(__lowerCAmelCase  )
				_UpperCamelCase							:			List[Any]     =   MaMaaaTokenizer.from_pretrained(__lowerCAmelCase  )
				self.assertDictEqual(new_tok.lang_token_to_id	,       __lowerCAmelCase  )
		@require_torch
		def _lowercase	(     self  )					->     Tuple:
				_UpperCamelCase							:			Dict     =   '''en'''
				_UpperCamelCase							:			Optional[Any]     =   '''fr'''

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

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

				for k in batch:
						_UpperCamelCase							:			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 _lowercase	(     self  )					->     List[Any]:
				_UpperCamelCase							:			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]  )

				_UpperCamelCase							:			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 _lowercase	(     self  )					->     str:
				_UpperCamelCase							:			List[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  )]  )

				_UpperCamelCase							:			Optional[int]     =   '''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 _lowercase	(     self  )					->     Any:
				_UpperCamelCase							:			int     =   self.tokenizer._build_translation_inputs('''A test'''	,       return_tensors='''pt'''	,       src_lang='''en'''	,       tgt_lang='''ar'''  )

				self.assertEqual(
				    nested_simplify(__lowerCAmelCase  )	,       {
				        # en_XX, A, test, EOS
				        '''input_ids''': [[128022, 58, 4183, 2]],
				        '''attention_mask''': [[1, 1, 1, 1]],
				        # ar_AR
				        '''forced_bos_token_id''': 128006,
				    }	,       )






'''simple docstring'''




import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
						import torch

						from transformers.generation import DisjunctiveConstraint






@require_torch
class 							a__(   unittest.TestCase      ):


			'''simple docstring'''






			def 				a_			(  self):




					"""simple docstring"""


					lowerCAmelCase     =    [[1, 2, 4], [1, 2, 3, 4]]
					lowerCAmelCase     =    DisjunctiveConstraint(__lowerCAmelCase)
					self.assertTrue(isinstance(dc.token_ids			,       __lowerCAmelCase))

					with self.assertRaises(__lowerCAmelCase):
							DisjunctiveConstraint(torch.LongTensor([[1, 2, 4], [1, 2, 3]]))

					with self.assertRaises(__lowerCAmelCase):
							DisjunctiveConstraint([torch.LongTensor([1, 2, 4]), torch.LongTensor([1, 2, 3, 4, 5])])



			def 				a_			(  self):




					"""simple docstring"""


					lowerCAmelCase     =    [[1, 2], [1, 2, 3, 4]]

					with self.assertRaises(__lowerCAmelCase):
							DisjunctiveConstraint(__lowerCAmelCase)  # fails here



			def 				a_			(  self):




					"""simple docstring"""


					lowerCAmelCase     =    [[1, 2, 3], [1, 2, 4]]

					lowerCAmelCase     =    DisjunctiveConstraint(__lowerCAmelCase)

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(1)
					lowerCAmelCase     =    stepped is True and completed is False and reset is False
					self.assertTrue(__lowerCAmelCase)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.current_seq == [1])

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(2)
					lowerCAmelCase     =    stepped is True and completed is False and reset is False
					self.assertTrue(__lowerCAmelCase)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.current_seq == [1, 2])

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(3)
					lowerCAmelCase     =    stepped is True and completed is True and reset is False
					self.assertTrue(__lowerCAmelCase)
					self.assertTrue(dc.completed)  # Completed!
					self.assertTrue(dc.current_seq == [1, 2, 3])







			def 				a_			(  self):




					"""simple docstring"""


					lowerCAmelCase     =    [[1, 2, 3], [1, 2, 4, 5], [1, 2, 5]]

					lowerCAmelCase     =    DisjunctiveConstraint(__lowerCAmelCase)

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(1)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.current_seq == [1])

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(2)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.current_seq == [1, 2])

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(4)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.current_seq == [1, 2, 4])

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(5)
					self.assertTrue(dc.completed)  # Completed!
					self.assertTrue(dc.current_seq == [1, 2, 4, 5])

					dc.reset()

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(1)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.remaining() == 3)
					self.assertTrue(dc.current_seq == [1])

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(2)
					self.assertTrue(not dc.completed)
					self.assertTrue(dc.remaining() == 2)
					self.assertTrue(dc.current_seq == [1, 2])

					lowerCAmelCase   ,	lowerCAmelCase   ,	lowerCAmelCase     =    dc.update(5)
					self.assertTrue(dc.completed)  # Completed!
					self.assertTrue(dc.remaining() == 0)
					self.assertTrue(dc.current_seq == [1, 2, 5])




