





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


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

_SCREAMING_SNAKE_CASE   =      1_2_8_0_2_2
_SCREAMING_SNAKE_CASE   =      1_2_8_0_2_8






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







	'''simple docstring'''

	a      :			str     =    MaMaaaTokenizer
	a      :			Union[str, Any]     =    False
	a      :			int     =    False
	a      :			Dict     =    True


	def   _UpperCAmelCase       (self	)							->							Any:







				'''simple docstring'''





				super().setUp()

				__lowercase			  =							['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
				__lowercase			  =							dict(zip(_lowerCamelCase       ,range(len(_lowerCamelCase	)	)	)	)
				__lowercase			  =							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''']	)

				__lowercase			  =							MaMaaaTokenizer.from_pretrained(self.tmpdirname	)
				tokenizer.save_pretrained(self.tmpdirname	)


	def   _UpperCAmelCase       (self       ,**_lowerCamelCase	)							->							Optional[int]:







				'''simple docstring'''





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


	def   _UpperCAmelCase       (self       ,_lowerCamelCase	)							->							Optional[Any]:







				'''simple docstring'''





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


	def   _UpperCAmelCase       (self	)							->							Optional[int]:







				'''simple docstring'''





				__lowercase			  =							'''</s>'''
				__lowercase			  =							0

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


	def   _UpperCAmelCase       (self	)							->							str:







				'''simple docstring'''





				__lowercase			  =							self.get_tokenizer()
				__lowercase			  =							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   _UpperCAmelCase       (self	)							->							Optional[Any]:







				'''simple docstring'''





				pass


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







				'''simple docstring'''





				__lowercase			  =							self.get_tokenizer()

				__lowercase			  =							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]       ,)

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

				__lowercase			  =							tokenizer.convert_tokens_to_string(_lowerCamelCase	)
				self.assertEqual(_lowerCamelCase       ,'''This is a test'''	)


	@slow
	def   _UpperCAmelCase       (self	)							->							Any:







				'''simple docstring'''





				__lowercase			  =							{'''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 							__lowercase    ( unittest.TestCase  ):







	'''simple docstring'''

	a      :			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      :			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      :			List[Any]     =    [EN_CODE, 593, 1949, 11_5781, 4, 7_1586, 4234, 6_0633, 12_6233, 432, 12_3808, 1_5592, 1197, 11_7132, 12_0618, 5, 2]


	@classmethod
	def   _UpperCAmelCase       (cls	)							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase			  =							MaMaaaTokenizer.from_pretrained(
				    cls.checkpoint_name       ,src_lang='''en'''       ,tgt_lang='''fr'''	)
				__lowercase			  =							1
				return cls


	def   _UpperCAmelCase       (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   _UpperCAmelCase       (self	)							->							Tuple:







				'''simple docstring'''





				__lowercase			  =							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   _UpperCAmelCase       (self	)							->							str:







				'''simple docstring'''





				__lowercase			  =							'''en'''
				__lowercase			  =							self.tokenizer.batch_encode_plus(self.src_text	).input_ids[0]
				self.assertListEqual(self.expected_src_tokens       ,_lowerCamelCase	)


	def   _UpperCAmelCase       (self	)							->							Optional[int]:







				'''simple docstring'''





				self.assertIn(_lowerCamelCase       ,self.tokenizer.all_special_ids	)
				# fmt: off
				__lowercase			  =							[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			  =							self.tokenizer.decode(_lowerCamelCase       ,skip_special_tokens=_lowerCamelCase	)
				__lowercase			  =							self.tokenizer.decode(generated_ids[1:]       ,skip_special_tokens=_lowerCamelCase	)
				self.assertEqual(_lowerCamelCase       ,_lowerCamelCase	)
				self.assertNotIn(self.tokenizer.eos_token       ,_lowerCamelCase	)


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







				'''simple docstring'''





				__lowercase			  =							tempfile.mkdtemp()
				__lowercase			  =							self.tokenizer.lang_token_to_id
				self.tokenizer.save_pretrained(_lowerCamelCase	)
				__lowercase			  =							MaMaaaTokenizer.from_pretrained(_lowerCamelCase	)
				self.assertDictEqual(new_tok.lang_token_to_id       ,_lowerCamelCase	)


	@require_torch
	def   _UpperCAmelCase       (self	)							->							Tuple:







				'''simple docstring'''





				__lowercase			  =							'''en'''
				__lowercase			  =							'''fr'''

				__lowercase			  =							self.tokenizer(self.src_text       ,text_target=self.tgt_text       ,padding=_lowerCamelCase       ,return_tensors='''pt'''	)

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

				for k in batch:
							__lowercase			  =							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	)							->							int:







				'''simple docstring'''





				__lowercase			  =							'''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			  =							'''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[Any]:







				'''simple docstring'''





				__lowercase			  =							'''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			  =							'''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	)							->							str:







				'''simple docstring'''





				__lowercase			  =							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'''



def 				_lowerCAmelCase  (			lowerCamelCase_     :					Union[str, Any]			):
			__lowercase			  =							1
			__lowercase			  =							2
			while i * i <= n:
						__lowercase			  =							0
						while n % i == 0:
									n //= i
									multiplicity += 1
						n_divisors *= multiplicity + 1
						i += 1
			if n > 1:
						n_divisors *= 2
			return n_divisors




def 				_lowerCAmelCase  (			):
			__lowercase			  =							1
			__lowercase			  =							1

			while True:
						i += 1
						t_num += i

						if count_divisors(lowerCamelCase_			) > 5_0_0:
									break

			return t_num


if __name__ == "__main__":
	print(solution())





