






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						:			List[str]     	=					get_tests_dir("fixtures/test_sentencepiece.model")

if is_sentencepiece_available():
       import sentencepiece as sp


a						:			Union[str, Any]     	=					5
a						:			Tuple     	=					10
@require_sentencepiece
@require_tokenizers
class        a       (					lowercase__				,			unittest.TestCase  ):



      """simple docstring"""


      a    :					str							=      SpeechaTextTokenizer
      a    :					Optional[Any]							=      False
      a    :					int							=      True
      def       UpperCAmelCase ( self   :     List[str]   )				-> Optional[Any]:
        super().setUp()

        __UpperCAmelCase				:      Any	 =    sp.SentencePieceProcessor()
        spm_model.Load(__lowercase   )
        __UpperCAmelCase				:      Tuple	 =    ["""<s>""", """<pad>""", """</s>""", """<unk>"""]

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

        __UpperCAmelCase				:      Dict	 =    Path(self.tmpdirname   )
        save_json(__lowercase						, save_dir / VOCAB_FILES_NAMES["""vocab_file"""]   )
        if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
          copyfile(__lowercase						, save_dir / VOCAB_FILES_NAMES["""spm_file"""]   )

        __UpperCAmelCase				:      Tuple	 =    SpeechaTextTokenizer.from_pretrained(self.tmpdirname   )
        tokenizer.save_pretrained(self.tmpdirname   )
      def       UpperCAmelCase ( self   :     Tuple   )				-> Union[str, Any]:
        __UpperCAmelCase				:      Optional[int]	 =    """<pad>"""
        __UpperCAmelCase				:      Union[str, Any]	 =    1

        self.assertEqual(self.get_tokenizer()._convert_token_to_id(__lowercase   )						, __lowercase   )
        self.assertEqual(self.get_tokenizer()._convert_id_to_token(__lowercase   )						, __lowercase   )
      def       UpperCAmelCase ( self   :     str   )				-> Any:
        __UpperCAmelCase				:      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(__lowercase   )						, 1001   )
      def       UpperCAmelCase ( self   :     List[Any]   )				-> Any:
        self.assertEqual(self.get_tokenizer().vocab_size						, 1001   )
      def       UpperCAmelCase ( self   :     List[str]   )				-> List[str]:
        __UpperCAmelCase				:      Tuple	 =    SpeechaTextTokenizer.from_pretrained(self.tmpdirname   )

        __UpperCAmelCase				:      Union[str, Any]	 =    tokenizer.tokenize("""This is a test"""   )
        self.assertListEqual(__lowercase						, ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]   )

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

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

        __UpperCAmelCase				:      List[str]	 =    tokenizer.convert_ids_to_tokens(__lowercase   )
        self.assertListEqual(
            __lowercase						, [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   :     Tuple   )				-> Any:
        # fmt: off
        __UpperCAmelCase				:      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=__lowercase						, model_name="""facebook/s2t-small-mustc-en-de-st"""						, revision="""a14f04cf0776c02f62a8cb800cf7909e15ea23ad"""						, )


@require_sentencepiece
class        a       (					unittest.TestCase  ):



      """simple docstring"""


      a    :					Any							=      'valhalla/s2t_mustc_multilinguial_medium'

      a    :					int							=      'C\'est trop cool'
      a    :					List[Any]							=      'Esto es genial'
      @classmethod
      def       UpperCAmelCase ( cls   :     Optional[Any]   )				-> str:
        __UpperCAmelCase				:      SpeechaTextTokenizer	 =    SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name   )
        return cls
      def       UpperCAmelCase ( self   :     str   )				-> Tuple:
        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   :     Dict   )				-> List[Any]:
        self.assertEqual(self.tokenizer.vocab_size						, 10000   )
      def       UpperCAmelCase ( self   :     Optional[Any]   )				-> str:
        self.assertIn(__lowercase						, self.tokenizer.all_special_ids   )
        __UpperCAmelCase				:      Dict	 =    [ES_CODE, 4, 1601, 47, 7647, 2]
        __UpperCAmelCase				:      List[Any]	 =    self.tokenizer.decode(__lowercase						, skip_special_tokens=__lowercase   )
        __UpperCAmelCase				:      Optional[Any]	 =    self.tokenizer.decode(generated_ids[1:]						, skip_special_tokens=__lowercase   )
        self.assertEqual(__lowercase						, __lowercase   )
        self.assertNotIn(self.tokenizer.eos_token						, __lowercase   )
      def       UpperCAmelCase ( self   :     List[str]   )				-> str:
        __UpperCAmelCase				:      str	 =    """fr"""
        __UpperCAmelCase				:      Any	 =    self.tokenizer(self.french_text   ).input_ids
        self.assertEqual(encoded[0]						, __lowercase   )
        self.assertEqual(encoded[-1]						, self.tokenizer.eos_token_id   )




      def       UpperCAmelCase ( self   :     List[str]   )				-> Union[str, Any]:
        __UpperCAmelCase				:      int	 =    """fr"""
        self.assertListEqual(self.tokenizer.prefix_tokens						, [FR_CODE]   )

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






from __future__ import annotations






def 					UpperCamelCase   (      __magic_name__	:				list[int]	)  ->    list[int]:  # This function is recursive
		"""simple docstring"""




		lowercase__	     =						len(__magic_name__	)
		# If the array contains only one element, we return it (it's the stop condition of
		# recursion)
		if array_length <= 1:
				return array
				# Else
		lowercase__	     =						array[0]
		lowercase__	     =						False
		lowercase__	     =						1
		lowercase__	     =						[]
		while not is_found and i < array_length:
				if array[i] < pivot:
						lowercase__	     =						True
						lowercase__	     =						[element for element in array[i:] if element >= array[i]]
						lowercase__	     =						longest_subsequence(__magic_name__	)
						if len(__magic_name__	) > len(__magic_name__	):
								lowercase__	     =						temp_array
				else:
						i += 1

		lowercase__	     =						[element for element in array[1:] if element >= pivot]
		lowercase__	     =						[pivot, *longest_subsequence(__magic_name__	)]
		if len(__magic_name__	) > len(__magic_name__	):
				return temp_array
		else:
				return longest_subseq


if __name__ == "__main__":
	import doctest

	doctest.testmod()

