
"""simple docstring"""

import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SPIECE_UNDERLINE, is_sentencepiece_available
from transformers.models.speech_to_text import SpeechaTextTokenizer
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


_A						=			get_tests_dir('fixtures/test_sentencepiece.model')

if is_sentencepiece_available():
					import sentencepiece as sp


_A						=			5
_A						=			1_0






@require_sentencepiece
@require_tokenizers
class 	_lowercase       (    __UpperCAmelCase    ,	unittest.TestCase		):
	lowercase_				=     SpeechaTextTokenizer
	lowercase_				=     False
	lowercase_				=     True




	def       _UpperCamelCase   (			self )		->							Optional[int]:
			super().setUp()

			lowerCamelCase					:      Union[str, Any]          =   sp.SentencePieceProcessor()
			spm_model.Load(UpperCAmelCase_ )
			lowerCamelCase					:      Union[str, Any]          =   ['<s>', '<pad>', '</s>', '<unk>']

			vocab += [spm_model.IdToPiece(id_ ) for id_ in range(len(UpperCAmelCase_ ) )]
			lowerCamelCase					:      List[str]          =   dict(zip(UpperCAmelCase_		,			range(len(UpperCAmelCase_ ) ) ) )

			lowerCamelCase					:      List[str]          =   Path(self.tmpdirname )
			save_json(UpperCAmelCase_		,			save_dir / VOCAB_FILES_NAMES['vocab_file'] )
			if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
					copyfile(UpperCAmelCase_		,			save_dir / VOCAB_FILES_NAMES['spm_file'] )

			lowerCamelCase					:      Tuple          =   SpeechaTextTokenizer.from_pretrained(self.tmpdirname )
			tokenizer.save_pretrained(self.tmpdirname )




	def       _UpperCamelCase   (			self )		->							List[str]:
			lowerCamelCase					:      str          =   '<pad>'
			lowerCamelCase					:      Tuple          =   1

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




	def       _UpperCamelCase   (			self )		->							Optional[int]:
			lowerCamelCase					:      int          =   list(self.get_tokenizer().get_vocab().keys() )

			self.assertEqual(vocab_keys[0]		,			'<s>' )
			self.assertEqual(vocab_keys[1]		,			'<pad>' )
			self.assertEqual(vocab_keys[-1]		,			'j' )
			self.assertEqual(len(UpperCAmelCase_ )		,			1001 )




	def       _UpperCamelCase   (			self )		->							List[str]:
			self.assertEqual(self.get_tokenizer().vocab_size		,			1001 )




	def       _UpperCamelCase   (			self )		->							Tuple:
			lowerCamelCase					:      Union[str, Any]          =   SpeechaTextTokenizer.from_pretrained(self.tmpdirname )

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

			self.assertListEqual(
			    tokenizer.convert_tokens_to_ids(UpperCAmelCase_ )		,			[289, 50, 14, 174, 386]		,			)

			lowerCamelCase					:      Optional[Any]          =   tokenizer.tokenize('I was born in 92000, and this is falsé.' )
			self.assertListEqual(
			    UpperCAmelCase_		,			[SPIECE_UNDERLINE + 'I', SPIECE_UNDERLINE + 'was', SPIECE_UNDERLINE + 'b', 'or', 'n', SPIECE_UNDERLINE + 'in', SPIECE_UNDERLINE + '', '9', '2', '0', '0', '0', ',', SPIECE_UNDERLINE + 'and', SPIECE_UNDERLINE + 'this', SPIECE_UNDERLINE + 'is', SPIECE_UNDERLINE + 'f', 'al', 's', 'é', '.']		,			)
			lowerCamelCase					:      int          =   tokenizer.convert_tokens_to_ids(UpperCAmelCase_ )
			self.assertListEqual(UpperCAmelCase_		,			[12, 25, 88, 59, 28, 23, 11, 4, 606, 351, 351, 351, 7, 16, 70, 50, 76, 84, 10, 4, 8] )

			lowerCamelCase					:      Tuple          =   tokenizer.convert_ids_to_tokens(UpperCAmelCase_ )
			self.assertListEqual(
			    UpperCAmelCase_		,			[SPIECE_UNDERLINE + 'I', SPIECE_UNDERLINE + 'was', SPIECE_UNDERLINE + 'b', 'or', 'n', SPIECE_UNDERLINE + 'in', SPIECE_UNDERLINE + '', '<unk>', '2', '0', '0', '0', ',', SPIECE_UNDERLINE + 'and', SPIECE_UNDERLINE + 'this', SPIECE_UNDERLINE + 'is', SPIECE_UNDERLINE + 'f', 'al', 's', '<unk>', '.']		,			)




	@slow
	def       _UpperCamelCase   (			self )		->							List[str]:
			# fmt: off
			lowerCamelCase					:      Dict          =   {'input_ids': [[3791, 797, 31, 11, 64, 797, 31, 2429, 433, 12, 1176, 12, 20, 786, 915, 142, 2413, 240, 37, 3238, 797, 31, 11, 35, 93, 915, 142, 2413, 240, 37, 5540, 567, 1276, 93, 37, 610, 40, 62, 455, 657, 1042, 123, 780, 177, 37, 309, 241, 1298, 514, 20, 292, 2737, 114, 2469, 241, 85, 64, 302, 548, 528, 423, 4, 509, 406, 423, 37, 601, 4, 777, 302, 548, 528, 423, 284, 4, 3388, 511, 459, 4, 3555, 40, 321, 302, 705, 4, 3388, 511, 583, 326, 5, 5, 5, 62, 3310, 560, 177, 2680, 217, 1508, 32, 31, 853, 418, 64, 583, 511, 1605, 62, 35, 93, 560, 177, 2680, 217, 1508, 1521, 64, 583, 511, 519, 62, 20, 1515, 764, 20, 149, 261, 5625, 7972, 20, 5540, 567, 1276, 93, 3925, 1675, 11, 15, 802, 7972, 576, 217, 1508, 11, 35, 93, 1253, 2441, 15, 289, 652, 31, 416, 321, 3842, 115, 40, 911, 8, 476, 619, 4, 380, 142, 423, 335, 240, 35, 93, 264, 8, 11, 335, 569, 420, 163, 5, 2], [260, 548, 528, 423, 20, 451, 20, 2681, 1153, 3434, 20, 5540, 37, 567, 126, 1253, 2441, 3376, 449, 210, 431, 1563, 177, 767, 5540, 11, 1203, 472, 11, 2953, 685, 285, 364, 706, 1153, 20, 6799, 20, 2869, 20, 4464, 126, 40, 2429, 20, 1040, 866, 2664, 418, 20, 318, 20, 1726, 186, 20, 265, 522, 35, 93, 2191, 4634, 20, 1040, 12, 6799, 15, 228, 2356, 142, 31, 11, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [2575, 2666, 684, 1582, 1176, 12, 627, 149, 619, 20, 4902, 563, 11, 20, 149, 261, 3420, 2356, 174, 142, 4714, 131, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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=UpperCAmelCase_		,			model_name='facebook/s2t-small-mustc-en-de-st'		,			revision='a14f04cf0776c02f62a8cb800cf7909e15ea23ad'		,			)






@require_sentencepiece
class 	_lowercase       (    unittest.TestCase		):
	lowercase_				=     'valhalla/s2t_mustc_multilinguial_medium'

	lowercase_				=     'C\'est trop cool'
	lowercase_				=     'Esto es genial'




	@classmethod
	def       _UpperCamelCase   (			cls )		->							List[Any]:
			lowerCamelCase					:      SpeechaTextTokenizer          =   SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name )
			return cls




	def       _UpperCamelCase   (			self )		->							Union[str, Any]:
			self.assertEqual(self.tokenizer.lang_code_to_id['pt']		,			4 )
			self.assertEqual(self.tokenizer.lang_code_to_id['ru']		,			6 )
			self.assertEqual(self.tokenizer.lang_code_to_id['it']		,			9 )
			self.assertEqual(self.tokenizer.lang_code_to_id['de']		,			11 )




	def       _UpperCamelCase   (			self )		->							Union[str, Any]:
			self.assertEqual(self.tokenizer.vocab_size		,			10000 )




	def       _UpperCamelCase   (			self )		->							List[str]:
			self.assertIn(UpperCAmelCase_		,			self.tokenizer.all_special_ids )
			lowerCamelCase					:      Tuple          =   [ES_CODE, 4, 1601, 47, 7647, 2]
			lowerCamelCase					:      int          =   self.tokenizer.decode(UpperCAmelCase_		,			skip_special_tokens=UpperCAmelCase_ )
			lowerCamelCase					:      Any          =   self.tokenizer.decode(generated_ids[1:]		,			skip_special_tokens=UpperCAmelCase_ )
			self.assertEqual(UpperCAmelCase_		,			UpperCAmelCase_ )
			self.assertNotIn(self.tokenizer.eos_token		,			UpperCAmelCase_ )




	def       _UpperCamelCase   (			self )		->							List[Any]:
			lowerCamelCase					:      Dict          =   'fr'
			lowerCamelCase					:      List[Any]          =   self.tokenizer(self.french_text ).input_ids
			self.assertEqual(encoded[0]		,			UpperCAmelCase_ )
			self.assertEqual(encoded[-1]		,			self.tokenizer.eos_token_id )




	def       _UpperCamelCase   (			self )		->							Optional[Any]:
			lowerCamelCase					:      Dict          =   'fr'
			self.assertListEqual(self.tokenizer.prefix_tokens		,			[FR_CODE] )

			lowerCamelCase					:      Optional[int]          =   'es'
			self.assertListEqual(self.tokenizer.prefix_tokens		,			[ES_CODE] )








"""simple docstring"""

def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		return str(a_      ) == str(a_      )[::-1]
def 		UpperCAmelCase (		a_      ):





		'''simple docstring'''


		return int(a_      ) + int(str(a_      )[::-1]      )
def 		UpperCAmelCase (		a_ = 1_0000      ):





		'''simple docstring'''


		lowerCamelCase					:      Optional[Any]          =   []
		for num in range(1,						a_      ):
				lowerCamelCase					:      List[str]          =   0
				lowerCamelCase					:      Union[str, Any]          =   num
				while iterations < 50:
						lowerCamelCase					:      Optional[int]          =   sum_reverse(a_      )
						iterations += 1
						if is_palindrome(a_      ):
								break
				else:
						lychrel_nums.append(a_      )
		return len(a_      )


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






