

import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin





class      snake_case_       (		__A     ,	unittest.TestCase ):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE					:       int						      =    SpeechaTextaTokenizer
			SCREAMING_SNAKE_CASE					:       Optional[Any]						      =    False







			def     snake_case__(					self			:    int							)				->Tuple:
									super().setUp()

									snake_case_       =     '''<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'''.split(''' '''							)
									snake_case_       =     ['''he re</w> 123''', '''here a 1456''']
									snake_case_       =     dict(zip(_UpperCamelCase							,       range(len(_UpperCamelCase							)							)							)							)

									snake_case_       =     {'''pad_token''': '''<pad>''', '''unk_token''': '''<unk>''', '''bos_token''': '''<s>''', '''eos_token''': '''</s>'''}

									snake_case_       =     tempfile.mkdtemp()
									snake_case_       =     os.path.join(self.tmpdirname							,       VOCAB_FILES_NAMES['''vocab_file''']							)
									snake_case_       =     os.path.join(self.tmpdirname							,       VOCAB_FILES_NAMES['''merges_file''']							)

									with open(self.vocab_file							,       '''w'''							,       encoding='''utf-8'''							) as fp:
															fp.write(json.dumps(_UpperCamelCase							) + '''\n'''							)

									with open(self.merges_file							,       '''w'''							) as fp:
															fp.write('''\n'''.join(_UpperCamelCase							)							)







			def     snake_case__(					self			:    List[Any]							)				->str:
									snake_case_       =     list(self.get_tokenizer().get_vocab().keys()							)

									self.assertEqual(vocab_keys[0]							,       '''<s>'''							)
									self.assertEqual(vocab_keys[1]							,       '''<pad>'''							)
									self.assertEqual(vocab_keys[-1]							,       '''vocab'''							)
									self.assertEqual(len(_UpperCamelCase							)							,       1_4							)







			def     snake_case__(					self			:    Optional[int]							)				->Union[str, Any]:
									self.assertEqual(self.get_tokenizer().vocab_size							,       1_4							)







			def     snake_case__(					self			:    int							)				->int:
									snake_case_       =     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

									# make sure @@ is correctly concatenated
									snake_case_       =     [4, 6, 8, 7, 1_0]  # ["here@@", "couple", "words", "of@@", "the"]
									snake_case_       =     tokenizer.decode(_UpperCamelCase							)

									self.assertTrue(output_string == '''herecouple words ofthe'''							)







			def     snake_case__(					self			:    List[str]							)				->Optional[Any]:
									snake_case_       =     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname							)

									with tempfile.TemporaryDirectory() as tmp_dirname:
															tokenizer.save_pretrained(_UpperCamelCase							)
															os.remove(os.path.join(_UpperCamelCase							,       '''merges.txt'''							)							)

															# load tokenizer without merges file should not throw an error
															snake_case_       =     SpeechaTextaTokenizer.from_pretrained(_UpperCamelCase							)

									with tempfile.TemporaryDirectory() as tmp_dirname:
															# save tokenizer and load again
															tokenizer.save_pretrained(_UpperCamelCase							)
															snake_case_       =     SpeechaTextaTokenizer.from_pretrained(_UpperCamelCase							)

									self.assertIsNotNone(_UpperCamelCase							)







			def     snake_case__(					self			:    Any							)				->List[Any]:
									if not self.test_slow_tokenizer:
															return

									snake_case_       =     inspect.signature(self.tokenizer_class.__init__							)
									snake_case_       =     self.get_tokenizer()

									for parameter_name, parameter in signature.parameters.items():
															if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
																					self.assertIn(_UpperCamelCase							,       tokenizer.init_kwargs							)


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_splinter import SplinterTokenizer


lowerCAmelCase_	     =     logging.get_logger(__name__)

lowerCAmelCase_	     =     {'''vocab_file''': '''vocab.txt'''}

lowerCAmelCase_	     =     {
    '''vocab_file''': {
        '''tau/splinter-base''': '''https://huggingface.co/tau/splinter-base/resolve/main/vocab.txt''',
        '''tau/splinter-base-qass''': '''https://huggingface.co/tau/splinter-base-qass/resolve/main/vocab.txt''',
        '''tau/splinter-large''': '''https://huggingface.co/tau/splinter-large/resolve/main/vocab.txt''',
        '''tau/splinter-large-qass''': '''https://huggingface.co/tau/splinter-large-qass/resolve/main/vocab.txt''',
    }
}

lowerCAmelCase_	     =     {
    '''tau/splinter-base''': 5_12,
    '''tau/splinter-base-qass''': 5_12,
    '''tau/splinter-large''': 5_12,
    '''tau/splinter-large-qass''': 5_12,
}

lowerCAmelCase_	     =     {
    '''tau/splinter-base''': {'''do_lower_case''': False},
    '''tau/splinter-base-qass''': {'''do_lower_case''': False},
    '''tau/splinter-large''': {'''do_lower_case''': False},
    '''tau/splinter-large-qass''': {'''do_lower_case''': False},
}





class      snake_case_       (		__A ):







			'''simple docstring'''

			SCREAMING_SNAKE_CASE					:       List[str]						      =    VOCAB_FILES_NAMES
			SCREAMING_SNAKE_CASE					:       List[str]						      =    PRETRAINED_VOCAB_FILES_MAP
			SCREAMING_SNAKE_CASE					:       Optional[int]						      =    PRETRAINED_INIT_CONFIGURATION
			SCREAMING_SNAKE_CASE					:       List[str]						      =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			SCREAMING_SNAKE_CASE					:       Any						      =    SplinterTokenizer







			def __init__(					self			:    List[str]							,       _UpperCamelCase			:    Dict=None							,       _UpperCamelCase			:    Union[str, Any]=None							,       _UpperCamelCase			:    Union[str, Any]=True							,       _UpperCamelCase			:    List[Any]="[UNK]"							,       _UpperCamelCase			:    List[str]="[SEP]"							,       _UpperCamelCase			:    Optional[int]="[PAD]"							,       _UpperCamelCase			:    Tuple="[CLS]"							,       _UpperCamelCase			:    Optional[int]="[MASK]"							,       _UpperCamelCase			:    str="[QUESTION]"							,       _UpperCamelCase			:    Optional[Any]=True							,       _UpperCamelCase			:    Dict=None							,       **_UpperCamelCase			:    Optional[int]							,       )				->Union[str, Any]:
									super().__init__(
									    _UpperCamelCase							,       tokenizer_file=_UpperCamelCase							,       do_lower_case=_UpperCamelCase							,       unk_token=_UpperCamelCase							,       sep_token=_UpperCamelCase							,       pad_token=_UpperCamelCase							,       cls_token=_UpperCamelCase							,       mask_token=_UpperCamelCase							,       tokenize_chinese_chars=_UpperCamelCase							,       strip_accents=_UpperCamelCase							,       additional_special_tokens=(question_token,)							,       **_UpperCamelCase							,       )

									snake_case_       =     json.loads(self.backend_tokenizer.normalizer.__getstate__()							)
									if (
									    pre_tok_state.get('''lowercase'''							,       _UpperCamelCase							) != do_lower_case
									    or pre_tok_state.get('''strip_accents'''							,       _UpperCamelCase							) != strip_accents
									):
															snake_case_       =     getattr(_UpperCamelCase							,       pre_tok_state.pop('''type'''							)							)
															snake_case_       =     do_lower_case
															snake_case_       =     strip_accents
															snake_case_       =     pre_tok_class(**_UpperCamelCase							)

									snake_case_       =     do_lower_case







			@property
			def     snake_case__(					self			:    Optional[int]							)				->int:
									return self.convert_tokens_to_ids(self.question_token							)







			def     snake_case__(					self			:    Dict							,       _UpperCamelCase			:    List[int]							,       _UpperCamelCase			:    Optional[List[int]] = None							)				->List[int]:
									if token_ids_a is None:
															return [self.cls_token_id] + token_ids_a + [self.sep_token_id]

									snake_case_       =     [self.cls_token_id]
									snake_case_       =     [self.sep_token_id]
									snake_case_       =     [self.question_token_id] + [self.convert_tokens_to_ids('''.'''							)]
									if self.padding_side == "right":
															# Input is question-then-context
															return cls + token_ids_a + question_suffix + sep + token_ids_a + sep
									else:
															# Input is context-then-question
															return cls + token_ids_a + sep + token_ids_a + question_suffix + sep







			def     snake_case__(					self			:    str							,       _UpperCamelCase			:    List[int]							,       _UpperCamelCase			:    Optional[List[int]] = None							)				->List[int]:
									snake_case_       =     [self.sep_token_id]
									snake_case_       =     [self.cls_token_id]
									snake_case_       =     [self.question_token_id] + [self.convert_tokens_to_ids('''.'''							)]
									if token_ids_a is None:
															return len(cls + token_ids_a + sep							) * [0]

									if self.padding_side == "right":
															# Input is question-then-context
															return len(cls + token_ids_a + question_suffix + sep							) * [0] + len(token_ids_a + sep							) * [1]
									else:
															# Input is context-then-question
															return len(cls + token_ids_a + sep							) * [0] + len(token_ids_a + question_suffix + sep							) * [1]







			def     snake_case__(					self			:    Union[str, Any]							,       _UpperCamelCase			:    str							,       _UpperCamelCase			:    Optional[str] = None							)				->Tuple[str]:
									snake_case_       =     self._tokenizer.model.save(_UpperCamelCase							,       name=_UpperCamelCase							)
									return tuple(_UpperCamelCase							)