



"""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


lowercase__			   =  get_tests_dir("fixtures/test_sentencepiece.model")

if is_sentencepiece_available():
	import sentencepiece as sp


lowercase__			   =  5
lowercase__			   =  10




@require_sentencepiece
@require_tokenizers
class SCREAMING_SNAKE_CASE__					(		__snake_case     ,					unittest.TestCase      ):
						_lowerCAmelCase							=					SpeechaTextTokenizer
						_lowerCAmelCase							=					False
						_lowerCAmelCase							=					True



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													super().setUp()

													__a		:		Dict									=       sp.SentencePieceProcessor()
													spm_model.Load(_lowercase							)
													__a		:		int									=       ["""<s>""", """<pad>""", """</s>""", """<unk>"""]

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

													__a		:		Union[str, Any]									=       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"""]							)

													__a		:		Dict									=       SpeechaTextTokenizer.from_pretrained(self.tmpdirname							)
													tokenizer.save_pretrained(self.tmpdirname							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Optional[int]									=       """<pad>"""
													__a		:		List[str]									=       1

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



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		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     lowerCAmelCase__(self							):





													'''simple docstring'''

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



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Union[str, Any]									=       SpeechaTextTokenizer.from_pretrained(self.tmpdirname							)

													__a		:		List[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]						,     )

													__a		:		Union[str, 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""", """."""]						,     )
													__a		:		Optional[Any]									=       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]							)

													__a		:		Optional[Any]									=       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     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		Any									=       {"""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 SCREAMING_SNAKE_CASE__					(		unittest.TestCase      ):
						_lowerCAmelCase							=					"valhalla/s2t_mustc_multilinguial_medium"

						_lowerCAmelCase							=					"C'est trop cool"
						_lowerCAmelCase							=					"Esto es genial"



						@classmethod
						def     lowerCAmelCase__(cls							):





													'''simple docstring'''

													__a		:		SpeechaTextTokenizer									=       SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name							)
													return cls



						def     lowerCAmelCase__(self							):





													'''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							):





													'''simple docstring'''

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



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													self.assertIn(_lowercase						,     self.tokenizer.all_special_ids							)
													__a		:		List[Any]									=       [ES_CODE, 4, 1601, 47, 7647, 2]
													__a		:		int									=       self.tokenizer.decode(_lowercase						,     skip_special_tokens=_lowercase							)
													__a		:		List[str]									=       self.tokenizer.decode(generated_ids[1:]						,     skip_special_tokens=_lowercase							)
													self.assertEqual(_lowercase						,     _lowercase							)
													self.assertNotIn(self.tokenizer.eos_token						,     _lowercase							)



						def     lowerCAmelCase__(self							):





													'''simple docstring'''

													__a		:		List[str]									=       """fr"""
													__a		:		List[str]									=       self.tokenizer(self.french_text							).input_ids
													self.assertEqual(encoded[0]						,     _lowercase							)
													self.assertEqual(encoded[-1]						,     self.tokenizer.eos_token_id							)





						def     lowerCAmelCase__(self							):





													'''simple docstring'''

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

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






"""simple docstring"""

def       __magic_name__    (   _lowerCamelCase				: list[int]					):
							if not nums:  # Makes sure that the list is not empty
														raise ValueError("""List is empty"""					)

							__a		:		Any									=       sum(_lowerCamelCase					) / len(_lowerCamelCase					)  # Calculate the average
							return sum(abs(x - average					) for x in nums					) / len(_lowerCamelCase					)


if __name__ == "__main__":
	import doctest

	doctest.testmod()

