



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 				__A					( A_					, unittest.TestCase      ):
			UpperCamelCase					:Optional[Any]     =			RoFormerTokenizer
			UpperCamelCase					:Optional[Any]     =			RoFormerTokenizerFast
			UpperCamelCase					:Optional[Any]     =			True
			UpperCamelCase					:Tuple     =			True





			def        _snake_case    (self				):
						super().setUp()





			def        _snake_case    (self							,    **__magic_name__				):
						return self.tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""							,    **__magic_name__				)





			def        _snake_case    (self							,    **__magic_name__				):
						return self.rust_tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""							,    **__magic_name__				)





			def        _snake_case    (self				):
						lowerCamelCase__ :      Tuple								=		"""永和服装饰品有限公司,今天天气非常好"""
						lowerCamelCase__ :      Optional[int]								=		"""永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"""
						return input_text, output_text





			def        _snake_case    (self				):
						lowerCamelCase__ :      int								=		self.get_tokenizer()
						lowerCamelCase__							,lowerCamelCase__ :      List[str]								=		self.get_chinese_input_output_texts()
						lowerCamelCase__ :      Any								=		tokenizer.tokenize(__magic_name__				)

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

						lowerCamelCase__ :      str								=		tokens + [tokenizer.unk_token]
						lowerCamelCase__ :      Any								=		[22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__				)							,    __magic_name__				)





			def        _snake_case    (self				):
						lowerCamelCase__ :      int								=		self.get_rust_tokenizer()
						lowerCamelCase__							,lowerCamelCase__ :      Optional[int]								=		self.get_chinese_input_output_texts()
						lowerCamelCase__ :      Tuple								=		tokenizer.tokenize(__magic_name__				)
						self.assertListEqual(__magic_name__							,    output_text.split()				)
						lowerCamelCase__ :      Dict								=		tokens + [tokenizer.unk_token]
						lowerCamelCase__ :      str								=		[22943, 21332, 34431, 45904, 117, 306, 1231, 1231, 2653, 33994, 1266, 100]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__				)							,    __magic_name__				)





			def        _snake_case    (self				):
						pass





			def        _snake_case    (self				):
						pass





			def        _snake_case    (self				):
						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=A_      )
class 				__A					( A_      ):
			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        _snake_case    (self							,    __magic_name__				):
						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]							,    __magic_name__				):
									raise ValueError(f"Column {self.audio_column} is not an Audio type."				)
						lowerCamelCase__ :      int								=		copy.deepcopy(self				)
						lowerCamelCase__ :      Tuple								=		self.input_schema.copy()
						lowerCamelCase__ :      Tuple								=		features[self.audio_column]
						lowerCamelCase__ :      List[str]								=		input_schema
						return task_template





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



