

import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_rjieba
@require_tokenizers
class   __lowercase				( UpperCAmelCase_		,       unittest.TestCase	):




			"""simple docstring"""







			_UpperCAmelCase   :							Union[str, Any]										=     RoFormerTokenizer
			_UpperCAmelCase   :							Any										=     RoFormerTokenizerFast
			_UpperCAmelCase   :							List[str]										=     True
			_UpperCAmelCase   :							List[str]										=     True



			def        _SCREAMING_SNAKE_CASE			( self  :     Union[str, Any]):
									super().setUp()



			def        _SCREAMING_SNAKE_CASE			( self  :     int   ,						**lowerCAmelCase__  :     Tuple):
									return self.tokenizer_class.from_pretrained("junnyu/roformer_chinese_base"   ,						**lowerCAmelCase__)



			def        _SCREAMING_SNAKE_CASE			( self  :     int   ,						**lowerCAmelCase__  :     int):
									return self.rust_tokenizer_class.from_pretrained("junnyu/roformer_chinese_base"   ,						**lowerCAmelCase__)



			def        _SCREAMING_SNAKE_CASE			( self  :     Union[str, Any]):
									SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       "永和服装饰品有限公司,今天天气非常好"
									SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       "永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"
									return input_text, output_text



			def        _SCREAMING_SNAKE_CASE			( self  :     List[Any]):
									SCREAMING_SNAKE_CASE_: Any  		=       self.get_tokenizer()
									SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_: Optional[Any]  		=       self.get_chinese_input_output_texts()
									SCREAMING_SNAKE_CASE_: Tuple  		=       tokenizer.tokenize(lowerCAmelCase__)

									self.assertListEqual(lowerCAmelCase__   ,						output_text.split())

									SCREAMING_SNAKE_CASE_: List[Any]  		=       tokens + [tokenizer.unk_token]
									SCREAMING_SNAKE_CASE_: Any  		=       [2_2943, 2_1332, 3_4431, 4_5904, 117, 306, 1231, 1231, 2653, 3_3994, 1266, 100]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__)   ,						lowerCAmelCase__)



			def        _SCREAMING_SNAKE_CASE			( self  :     List[Any]):
									SCREAMING_SNAKE_CASE_: Optional[Any]  		=       self.get_rust_tokenizer()
									SCREAMING_SNAKE_CASE_		,    SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       self.get_chinese_input_output_texts()
									SCREAMING_SNAKE_CASE_: Union[str, Any]  		=       tokenizer.tokenize(lowerCAmelCase__)
									self.assertListEqual(lowerCAmelCase__   ,						output_text.split())
									SCREAMING_SNAKE_CASE_: Any  		=       tokens + [tokenizer.unk_token]
									SCREAMING_SNAKE_CASE_: int  		=       [2_2943, 2_1332, 3_4431, 4_5904, 117, 306, 1231, 1231, 2653, 3_3994, 1266, 100]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__)   ,						lowerCAmelCase__)



			def        _SCREAMING_SNAKE_CASE			( self  :     Any):
									pass



			def        _SCREAMING_SNAKE_CASE			( self  :     List[Any]):
									pass




			def        _SCREAMING_SNAKE_CASE			( self  :     List[Any]):
									pass









import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate



@dataclass(frozen=UpperCAmelCase_	)
class   __lowercase				( UpperCAmelCase_	):




			"""simple docstring"""







			_UpperCAmelCase   :							str										=     field(default='''automatic-speech-recognition'''		,       metadata={'''include_in_asdict_even_if_is_default''': True}	)
			_UpperCAmelCase   :							ClassVar[Features]										=     Features({'''audio''': Audio()}	)
			_UpperCAmelCase   :							ClassVar[Features]										=     Features({'''transcription''': Value('''string'''	)}	)
			_UpperCAmelCase   :							str										=     "audio"
			_UpperCAmelCase   :							str										=     "transcription"



			def        _SCREAMING_SNAKE_CASE			( self  :     Optional[Any]   ,						lowerCAmelCase__  :     int):
									if self.audio_column not in features:
															raise ValueError(F"Column {self.audio_column} is not present in features.")
									if not isinstance(features[self.audio_column]   ,						lowerCAmelCase__):
															raise ValueError(F"Column {self.audio_column} is not an Audio type.")
									SCREAMING_SNAKE_CASE_: Tuple  		=       copy.deepcopy(self)
									SCREAMING_SNAKE_CASE_: Optional[int]  		=       self.input_schema.copy()
									SCREAMING_SNAKE_CASE_: Dict  		=       features[self.audio_column]
									SCREAMING_SNAKE_CASE_: int  		=       input_schema
									return task_template




			@property
			def        _SCREAMING_SNAKE_CASE			( self  :     int):
									return {self.audio_column: "audio", self.transcription_column: "transcription"}






