




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


_lowerCAmelCase						:   Dict		=   get_tests_dir("fixtures/test_sentencepiece.model")

if is_sentencepiece_available():
  import sentencepiece as sp


_lowerCAmelCase						:   Tuple		=   5
_lowerCAmelCase						:   int		=   1_0
@require_sentencepiece
@require_tokenizers
class 			_UpperCamelCase      (				lowerCAmelCase	,       unittest.TestCase		):
      UpperCAmelCase_        =		SpeechaTextTokenizer
      UpperCAmelCase_        =		False
      UpperCAmelCase_        =		True
      def 	UpperCAmelCase_						(			self   :Union[str, Any]      )     ->			str:
       super().setUp()

       UpperCAmelCase__							 =						sp.SentencePieceProcessor()
       spm_model.Load(lowerCamelCase      )
       UpperCAmelCase__							 =						["<s>", "<pad>", "</s>", "<unk>"]

       vocab += [spm_model.IdToPiece(id_      ) for id_ in range(len(lowerCamelCase      )      )]
       UpperCAmelCase__							 =						dict(zip(lowerCamelCase ,      range(len(lowerCamelCase      )      )      )      )

       UpperCAmelCase__							 =						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"]      )

       UpperCAmelCase__							 =						SpeechaTextTokenizer.from_pretrained(self.tmpdirname      )
       tokenizer.save_pretrained(self.tmpdirname      )
      def 	UpperCAmelCase_						(			self   :int      )     ->			Dict:
       UpperCAmelCase__							 =						"<pad>"
       UpperCAmelCase__							 =						1

       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   :Optional[int]      )     ->			int:
       UpperCAmelCase__							 =						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(lowerCamelCase      ) ,      1001      )
      def 	UpperCAmelCase_						(			self   :Optional[Any]      )     ->			int:
       self.assertEqual(self.get_tokenizer().vocab_size ,      1001      )
      def 	UpperCAmelCase_						(			self   :Optional[int]      )     ->			Dict:
       UpperCAmelCase__							 =						SpeechaTextTokenizer.from_pretrained(self.tmpdirname      )

       UpperCAmelCase__							 =						tokenizer.tokenize("This is a test"      )
       self.assertListEqual(lowerCamelCase ,      ["▁This", "▁is", "▁a", "▁t", "est"]      )

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

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

       UpperCAmelCase__							 =						tokenizer.convert_ids_to_tokens(lowerCamelCase      )
       self.assertListEqual(
           lowerCamelCase ,      [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   :int      )     ->			List[Any]:
       # fmt: off
       UpperCAmelCase__							 =						{"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=lowerCamelCase ,      model_name="facebook/s2t-small-mustc-en-de-st" ,      revision="a14f04cf0776c02f62a8cb800cf7909e15ea23ad" ,      )



@require_sentencepiece
class 			_UpperCamelCase      (				unittest.TestCase		):
      UpperCAmelCase_        =		"""valhalla/s2t_mustc_multilinguial_medium"""

      UpperCAmelCase_        =		"""C'est trop cool"""
      UpperCAmelCase_        =		"""Esto es genial"""
      @classmethod
      def 	UpperCAmelCase_						(			cls   :Tuple      )     ->			List[Any]:
       UpperCAmelCase__							 =						SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name      )
       return cls
      def 	UpperCAmelCase_						(			self   :Union[str, Any]      )     ->			int:
       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      )     ->			Union[str, Any]:
       self.assertEqual(self.tokenizer.vocab_size ,      1_0000      )
      def 	UpperCAmelCase_						(			self   :Tuple      )     ->			Any:
       self.assertIn(lowerCamelCase ,      self.tokenizer.all_special_ids      )
       UpperCAmelCase__							 =						[ES_CODE, 4, 1601, 47, 7647, 2]
       UpperCAmelCase__							 =						self.tokenizer.decode(lowerCamelCase ,      skip_special_tokens=lowerCamelCase      )
       UpperCAmelCase__							 =						self.tokenizer.decode(generated_ids[1:] ,      skip_special_tokens=lowerCamelCase      )
       self.assertEqual(lowerCamelCase ,      lowerCamelCase      )
       self.assertNotIn(self.tokenizer.eos_token ,      lowerCamelCase      )
      def 	UpperCAmelCase_						(			self   :Union[str, Any]      )     ->			Union[str, Any]:
       UpperCAmelCase__							 =						"fr"
       UpperCAmelCase__							 =						self.tokenizer(self.french_text      ).input_ids
       self.assertEqual(encoded[0] ,      lowerCamelCase      )
       self.assertEqual(encoded[-1] ,      self.tokenizer.eos_token_id      )







      def 	UpperCAmelCase_						(			self   :int      )     ->			List[str]:
       UpperCAmelCase__							 =						"fr"
       self.assertListEqual(self.tokenizer.prefix_tokens ,      [FR_CODE]      )

       UpperCAmelCase__							 =						"es"
       self.assertListEqual(self.tokenizer.prefix_tokens ,      [ES_CODE]      )











import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


_lowerCAmelCase						:   int		=   logging.get_logger(__name__)
class 			_UpperCamelCase      (				lowerCAmelCase		):
      def __init__(			self   :Optional[Any] ,      *lowerCamelCase   :List[str] ,      **lowerCamelCase   :Tuple      )     ->			None:
       warnings.warn(
           "The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
           " use YolosImageProcessor instead." ,      lowerCamelCase ,      )
       super().__init__(*lowerCamelCase ,      **lowerCamelCase      )





