


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   :					Tuple	=      get_tests_dir("fixtures/test_sentencepiece.model")

if is_sentencepiece_available():
    import sentencepiece as sp


A   :					List[Any]	=      5
A   :					Optional[int]	=      10







@require_sentencepiece
@require_tokenizers
class     _lowercase				(							__a							,						unittest.TestCase):


       """simple docstring"""




       A__      		=    SpeechaTextTokenizer
       A__      		=    False
       A__      		=    True





       def 		lowerCAmelCase  (     self							:    List[Any] ):


             '''simple docstring'''



             super().setUp()

             lowerCamelCase__	:       List[Any]					=						sp.SentencePieceProcessor()
             spm_model.Load(snake_case__ )
             lowerCamelCase__	:       Any					=						["<s>", "<pad>", "</s>", "<unk>"]

             vocab += [spm_model.IdToPiece(id_ ) for id_ in range(len(snake_case__ ) )]
             lowerCamelCase__	:       List[Any]					=						dict(zip(snake_case__      ,   range(len(snake_case__ ) ) ) )

             lowerCamelCase__	:       Union[str, Any]					=						Path(self.tmpdirname )
             save_json(snake_case__      ,   save_dir / VOCAB_FILES_NAMES["vocab_file"] )
             if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
                   copyfile(snake_case__      ,   save_dir / VOCAB_FILES_NAMES["spm_file"] )

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





       def 		lowerCAmelCase  (     self							:    str ):


             '''simple docstring'''



             lowerCamelCase__	:       int					=						"<pad>"
             lowerCamelCase__	:       int					=						1

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





       def 		lowerCAmelCase  (     self							:    Optional[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       List[str]					=						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(snake_case__ )      ,   1001 )





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



             self.assertEqual(self.get_tokenizer().vocab_size      ,   1001 )





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



             lowerCamelCase__	:       Optional[Any]					=						SpeechaTextTokenizer.from_pretrained(self.tmpdirname )

             lowerCamelCase__	:       Optional[Any]					=						tokenizer.tokenize("This is a test" )
             self.assertListEqual(snake_case__      ,   ["▁This", "▁is", "▁a", "▁t", "est"] )

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

             lowerCamelCase__	:       Dict					=						tokenizer.tokenize("I was born in 92000, and this is falsé." )
             self.assertListEqual(
                 snake_case__      ,   [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__	:       Dict					=						tokenizer.convert_tokens_to_ids(snake_case__ )
             self.assertListEqual(snake_case__      ,   [12, 25, 88, 59, 28, 23, 11, 4, 606, 351, 351, 351, 7, 16, 70, 50, 76, 84, 10, 4, 8] )

             lowerCamelCase__	:       str					=						tokenizer.convert_ids_to_tokens(snake_case__ )
             self.assertListEqual(
                 snake_case__      ,   [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 		lowerCAmelCase  (     self							:    Optional[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       str					=						{"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=snake_case__      ,   model_name="facebook/s2t-small-mustc-en-de-st"      ,   revision="a14f04cf0776c02f62a8cb800cf7909e15ea23ad"      ,   )







@require_sentencepiece
class     _lowercase				(							unittest.TestCase):


       """simple docstring"""




       A__      		=    '''valhalla/s2t_mustc_multilinguial_medium'''

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





       @classmethod
       def 		lowerCAmelCase  (     cls							:    List[Any] ):


             '''simple docstring'''



             lowerCamelCase__	:       List[str]					=						SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name )
             return cls





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



             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 		lowerCAmelCase  (     self							:    List[Any] ):


             '''simple docstring'''



             self.assertEqual(self.tokenizer.vocab_size      ,   10000 )





       def 		lowerCAmelCase  (     self							:    Union[str, Any] ):


             '''simple docstring'''



             self.assertIn(snake_case__      ,   self.tokenizer.all_special_ids )
             lowerCamelCase__	:       Dict					=						[ES_CODE, 4, 1601, 47, 7647, 2]
             lowerCamelCase__	:       List[str]					=						self.tokenizer.decode(snake_case__      ,   skip_special_tokens=snake_case__ )
             lowerCamelCase__	:       str					=						self.tokenizer.decode(generated_ids[1:]      ,   skip_special_tokens=snake_case__ )
             self.assertEqual(snake_case__      ,   snake_case__ )
             self.assertNotIn(self.tokenizer.eos_token      ,   snake_case__ )





       def 		lowerCAmelCase  (     self							:    Any ):


             '''simple docstring'''



             lowerCamelCase__	:       Any					=						"fr"
             lowerCamelCase__	:       Any					=						self.tokenizer(self.french_text ).input_ids
             self.assertEqual(encoded[0]      ,   snake_case__ )
             self.assertEqual(encoded[-1]      ,   self.tokenizer.eos_token_id )





       def 		lowerCAmelCase  (     self							:    Dict ):


             '''simple docstring'''



             lowerCamelCase__	:       str					=						"fr"
             self.assertListEqual(self.tokenizer.prefix_tokens      ,   [FR_CODE] )

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






def    lowercase_	(	_A    :					int		):

      """simple docstring"""




      if not isinstance(_A					,      _A		):
            lowerCamelCase__	:       List[str]					=						F"Input value of [number={number}] must be an integer"
            raise TypeError(_A		)
      if number < 0:
            return False
      lowerCamelCase__	:       Dict					=						number * number
      while number > 0:
            if number % 10 != number_square % 10:
                  return False
            number //= 10
            number_square //= 10
      return True


if __name__ == "__main__":
    import doctest

    doctest.testmod()


