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

if is_sentencepiece_available():
    import sentencepiece as sp


_a      :			int					=							5
_a      :			Dict					=							10






@require_sentencepiece
@require_tokenizers
class      _UpperCAmelCase				(					_snake_case		,					unittest.TestCase):
    __lowercase							: str  =					SpeechaTextTokenizer
    __lowercase							: int  =					False
    __lowercase							: List[str]  =					True
    def 					lowerCamelCase__	(    self     ):
      super().setUp()

      _snake_case     :						Optional[Any]						=   sp.SentencePieceProcessor()
      spm_model.Load(snake_case_     )
      _snake_case     :						Any						=   ["<s>", "<pad>", "</s>", "<unk>"]

      vocab += [spm_model.IdToPiece(id_     ) for id_ in range(len(snake_case_     )     )]
      _snake_case     :						Union[str, Any]						=   dict(zip(snake_case_						,    range(len(snake_case_     )     )     )     )

      _snake_case     :						Dict						=   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"]     )

      _snake_case     :						List[Any]						=   SpeechaTextTokenizer.from_pretrained(self.tmpdirname     )
      tokenizer.save_pretrained(self.tmpdirname     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						Tuple						=   "<pad>"
      _snake_case     :						Optional[Any]						=   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     ):
      _snake_case     :						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(snake_case_     )						,    10_01     )
    def 					lowerCamelCase__	(    self     ):
      self.assertEqual(self.get_tokenizer().vocab_size						,    10_01     )
    def 					lowerCamelCase__	(    self     ):
      _snake_case     :						List[str]						=   SpeechaTextTokenizer.from_pretrained(self.tmpdirname     )

      _snake_case     :						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_     )						,    [2_89, 50, 14, 1_74, 3_86]						,    )

      _snake_case     :						Optional[int]						=   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", "."]						,    )
      _snake_case     :						Optional[Any]						=   tokenizer.convert_tokens_to_ids(snake_case_     )
      self.assertListEqual(snake_case_						,    [12, 25, 88, 59, 28, 23, 11, 4, 6_06, 3_51, 3_51, 3_51, 7, 16, 70, 50, 76, 84, 10, 4, 8]     )

      _snake_case     :						List[Any]						=   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     ):
      # fmt: off
      _snake_case     :						Tuple						=   {"input_ids": [[37_91, 7_97, 31, 11, 64, 7_97, 31, 24_29, 4_33, 12, 11_76, 12, 20, 7_86, 9_15, 1_42, 24_13, 2_40, 37, 32_38, 7_97, 31, 11, 35, 93, 9_15, 1_42, 24_13, 2_40, 37, 55_40, 5_67, 12_76, 93, 37, 6_10, 40, 62, 4_55, 6_57, 10_42, 1_23, 7_80, 1_77, 37, 3_09, 2_41, 12_98, 5_14, 20, 2_92, 27_37, 1_14, 24_69, 2_41, 85, 64, 3_02, 5_48, 5_28, 4_23, 4, 5_09, 4_06, 4_23, 37, 6_01, 4, 7_77, 3_02, 5_48, 5_28, 4_23, 2_84, 4, 33_88, 5_11, 4_59, 4, 35_55, 40, 3_21, 3_02, 7_05, 4, 33_88, 5_11, 5_83, 3_26, 5, 5, 5, 62, 33_10, 5_60, 1_77, 26_80, 2_17, 15_08, 32, 31, 8_53, 4_18, 64, 5_83, 5_11, 16_05, 62, 35, 93, 5_60, 1_77, 26_80, 2_17, 15_08, 15_21, 64, 5_83, 5_11, 5_19, 62, 20, 15_15, 7_64, 20, 1_49, 2_61, 56_25, 79_72, 20, 55_40, 5_67, 12_76, 93, 39_25, 16_75, 11, 15, 8_02, 79_72, 5_76, 2_17, 15_08, 11, 35, 93, 12_53, 24_41, 15, 2_89, 6_52, 31, 4_16, 3_21, 38_42, 1_15, 40, 9_11, 8, 4_76, 6_19, 4, 3_80, 1_42, 4_23, 3_35, 2_40, 35, 93, 2_64, 8, 11, 3_35, 5_69, 4_20, 1_63, 5, 2], [2_60, 5_48, 5_28, 4_23, 20, 4_51, 20, 26_81, 11_53, 34_34, 20, 55_40, 37, 5_67, 1_26, 12_53, 24_41, 33_76, 4_49, 2_10, 4_31, 15_63, 1_77, 7_67, 55_40, 11, 12_03, 4_72, 11, 29_53, 6_85, 2_85, 3_64, 7_06, 11_53, 20, 67_99, 20, 28_69, 20, 44_64, 1_26, 40, 24_29, 20, 10_40, 8_66, 26_64, 4_18, 20, 3_18, 20, 17_26, 1_86, 20, 2_65, 5_22, 35, 93, 21_91, 46_34, 20, 10_40, 12, 67_99, 15, 2_28, 23_56, 1_42, 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], [25_75, 26_66, 6_84, 15_82, 11_76, 12, 6_27, 1_49, 6_19, 20, 49_02, 5_63, 11, 20, 1_49, 2_61, 34_20, 23_56, 1_74, 1_42, 47_14, 1_31, 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      _UpperCAmelCase				(					unittest.TestCase):
    __lowercase							: Tuple  =					"""valhalla/s2t_mustc_multilinguial_medium"""

    __lowercase							: Union[str, Any]  =					"""C'est trop cool"""
    __lowercase							: Any  =					"""Esto es genial"""
    @classmethod
    def 					lowerCamelCase__	(    cls     ):
      _snake_case     :						SpeechaTextTokenizer						=   SpeechaTextTokenizer.from_pretrained(cls.checkpoint_name     )
      return cls
    def 					lowerCamelCase__	(    self     ):
      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     ):
      self.assertEqual(self.tokenizer.vocab_size						,    1_00_00     )
    def 					lowerCamelCase__	(    self     ):
      self.assertIn(snake_case_						,    self.tokenizer.all_special_ids     )
      _snake_case     :						Optional[int]						=   [ES_CODE, 4, 16_01, 47, 76_47, 2]
      _snake_case     :						Tuple						=   self.tokenizer.decode(snake_case_						,    skip_special_tokens=snake_case_     )
      _snake_case     :						int						=   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     ):
      _snake_case     :						str						=   "fr"
      _snake_case     :						int						=   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     ):
      _snake_case     :						Tuple						=   "fr"
      self.assertListEqual(self.tokenizer.prefix_tokens						,    [FR_CODE]     )

      _snake_case     :						List[Any]						=   "es"
      self.assertListEqual(self.tokenizer.prefix_tokens						,    [ES_CODE]     )



"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


_a      :			List[Any]					=							{}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _a      :			List[Any]					=							["""BartphoTokenizer"""]

if TYPE_CHECKING:
    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_bartpho import BartphoTokenizer

else:
    import sys

    _a      :			Optional[int]					=							_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

