

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


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

A_	= 128_022
A_	= 128_028


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

		'''simple docstring'''






		SCREAMING_SNAKE_CASE_           =					MaMaaaTokenizer
		SCREAMING_SNAKE_CASE_           =					False
		SCREAMING_SNAKE_CASE_           =					False
		SCREAMING_SNAKE_CASE_           =					True
		def 			UpperCamelCase(					self		)  ->     Optional[int]:






							'''simple docstring'''



							super().setUp()

							lowerCamelCase_  				=      ['</s>', '<unk>', '▁This', '▁is', '▁a', '▁t', 'est', '\u0120', '<pad>']
							lowerCamelCase_  				=      dict(zip(SCREAMING_SNAKE_CASE_   ,			range(len(SCREAMING_SNAKE_CASE_		)		)		)		)
							lowerCamelCase_  				=      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_  				=      MaMaaaTokenizer.from_pretrained(self.tmpdirname		)
							tokenizer.save_pretrained(self.tmpdirname		)
		def 			UpperCamelCase(					self   ,			**SCREAMING_SNAKE_CASE_		)  ->     List[str]:






							'''simple docstring'''



							return MaMaaaTokenizer.from_pretrained(self.tmpdirname   ,			**SCREAMING_SNAKE_CASE_		)
		def 			UpperCamelCase(					self   ,			SCREAMING_SNAKE_CASE_		)  ->     str:






							'''simple docstring'''



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






							'''simple docstring'''



							lowerCamelCase_  				=      '</s>'
							lowerCamelCase_  				=      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		)  ->     int:






							'''simple docstring'''



							lowerCamelCase_  				=      self.get_tokenizer()
							lowerCamelCase_  				=      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[int]:






							'''simple docstring'''



							pass
		def 			UpperCamelCase(					self		)  ->     Any:






							'''simple docstring'''



							lowerCamelCase_  				=      self.get_tokenizer()

							lowerCamelCase_  				=      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_  				=      tokenizer.convert_ids_to_tokens([2, 3, 4, 5, 6]		)
							self.assertListEqual(SCREAMING_SNAKE_CASE_   ,			['▁This', '▁is', '▁a', '▁t', 'est']		)

							lowerCamelCase_  				=      tokenizer.convert_tokens_to_string(SCREAMING_SNAKE_CASE_		)
							self.assertEqual(SCREAMING_SNAKE_CASE_   ,			'This is a test'		)






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






							'''simple docstring'''



							lowerCamelCase_  				=      {'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=SCREAMING_SNAKE_CASE_   ,			model_name='facebook/m2m100_418M'   ,			revision='c168bae485c864188cf9aa0e4108b0b6934dc91e'   ,			)


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

		'''simple docstring'''






		SCREAMING_SNAKE_CASE_           =					'facebook/m2m100_418M'
		SCREAMING_SNAKE_CASE_           =					[
		    'In my opinion, there are two levels of response from the French government.',
		    'NSA Affair Emphasizes Complete Lack of Debate on Intelligence',
		]
		SCREAMING_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
		SCREAMING_SNAKE_CASE_           =					[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 			UpperCamelCase(					cls		)  ->     int:






							'''simple docstring'''



							lowerCamelCase_  				=      MaMaaaTokenizer.from_pretrained(
							    cls.checkpoint_name   ,			src_lang='en'   ,			tgt_lang='fr'		)
							lowerCamelCase_  				=      1
							return cls
		def 			UpperCamelCase(					self		)  ->     Dict:






							'''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 			UpperCamelCase(					self		)  ->     List[str]:






							'''simple docstring'''



							lowerCamelCase_  				=      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		)  ->     List[Any]:






							'''simple docstring'''



							lowerCamelCase_  				=      'en'
							lowerCamelCase_  				=      self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
							self.assertListEqual(self.expected_src_tokens   ,			SCREAMING_SNAKE_CASE_		)
		def 			UpperCamelCase(					self		)  ->     Tuple:






							'''simple docstring'''



							self.assertIn(SCREAMING_SNAKE_CASE_   ,			self.tokenizer.all_special_ids		)
							# fmt: off
							lowerCamelCase_  				=      [FR_CODE, 5364, 82, 8642, 4, 294, 47, 8, 14028, 136, 3286, 9706, 6, 90797, 6, 144012, 162, 88128, 30061, 5, 2]
							# fmt: on
							lowerCamelCase_  				=      self.tokenizer.decode(SCREAMING_SNAKE_CASE_   ,			skip_special_tokens=SCREAMING_SNAKE_CASE_		)
							lowerCamelCase_  				=      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		)  ->     List[str]:






							'''simple docstring'''



							lowerCamelCase_  				=      tempfile.mkdtemp()
							lowerCamelCase_  				=      self.tokenizer.lang_token_to_id
							self.tokenizer.save_pretrained(SCREAMING_SNAKE_CASE_		)
							lowerCamelCase_  				=      MaMaaaTokenizer.from_pretrained(SCREAMING_SNAKE_CASE_		)
							self.assertDictEqual(new_tok.lang_token_to_id   ,			SCREAMING_SNAKE_CASE_		)
		@require_torch
		def 			UpperCamelCase(					self		)  ->     Dict:






							'''simple docstring'''



							lowerCamelCase_  				=      'en'
							lowerCamelCase_  				=      'fr'

							lowerCamelCase_  				=      self.tokenizer(self.src_text   ,			text_target=self.tgt_text   ,			padding=SCREAMING_SNAKE_CASE_   ,			return_tensors='pt'		)

							lowerCamelCase_  				=      shift_tokens_right(
							    batch['labels']   ,			self.tokenizer.pad_token_id   ,			self.tokenizer.eos_token_id		)

							for k in batch:
												lowerCamelCase_  				=      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]:






							'''simple docstring'''



							lowerCamelCase_  				=      '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_  				=      '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		)  ->     Union[str, Any]:






							'''simple docstring'''



							lowerCamelCase_  				=      '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_  				=      '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		)  ->     List[Any]:






							'''simple docstring'''



							lowerCamelCase_  				=      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': [[128022, 58, 4183, 2]],
							        'attention_mask': [[1, 1, 1, 1]],
							        # ar_AR
							        'forced_bos_token_id': 128006,
							    }   ,			)











def       _SCREAMING_SNAKE_CASE    (			__lowercase :      int     )    ->   list[int]:





    """simple docstring"""

    if length <= 0 or not isinstance(__lowercase      ,					__lowercase     ):
        raise ValueError("""Length must be a positive integer."""     )
    return [n * (2 * n - 1) for n in range(__lowercase     )]


if __name__ == "__main__":
  print(hexagonal_numbers(length=5))
  print(hexagonal_numbers(length=10))




