
"""simple docstring"""





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 __lowerCAmelCase					(       _lowercase  ,					unittest.TestCase   ):




			"""simple docstring"""







			snake_case						   =					RoFormerTokenizer
			snake_case						   =					RoFormerTokenizerFast
			snake_case						   =					True
			snake_case						   =					True




			def   lowerCamelCase__  (					self    :       int						)   ->			List[Any]:







								"""simple docstring"""
								super().setUp()




			def   lowerCamelCase__  (					self    :       str							, **_snake_case    :       Dict						)   ->			Dict:







								"""simple docstring"""
								return self.tokenizer_class.from_pretrained("junnyu/roformer_chinese_base"							, **_snake_case						)




			def   lowerCamelCase__  (					self    :       int							, **_snake_case    :       str						)   ->			Union[str, Any]:







								"""simple docstring"""
								return self.rust_tokenizer_class.from_pretrained("junnyu/roformer_chinese_base"							, **_snake_case						)




			def   lowerCamelCase__  (					self    :       Tuple						)   ->			Tuple:







								"""simple docstring"""
								A_								=    "永和服装饰品有限公司,今天天气非常好"
								A_								=    "永和 服装 饰品 有限公司 , 今 天 天 气 非常 好"
								return input_text, output_text




			def   lowerCamelCase__  (					self    :       Optional[int]						)   ->			Optional[int]:







								"""simple docstring"""
								A_								=    self.get_tokenizer()
								A_			,     A_								=    self.get_chinese_input_output_texts()
								A_								=    tokenizer.tokenize(_snake_case						)

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

								A_								=    tokens + [tokenizer.unk_token]
								A_								=    [22_943, 21_332, 34_431, 45_904, 117, 306, 1_231, 1_231, 2_653, 33_994, 1_266, 100]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case						)							, _snake_case						)




			def   lowerCamelCase__  (					self    :       str						)   ->			Union[str, Any]:







								"""simple docstring"""
								A_								=    self.get_rust_tokenizer()
								A_			,     A_								=    self.get_chinese_input_output_texts()
								A_								=    tokenizer.tokenize(_snake_case						)
								self.assertListEqual(_snake_case							, output_text.split()						)
								A_								=    tokens + [tokenizer.unk_token]
								A_								=    [22_943, 21_332, 34_431, 45_904, 117, 306, 1_231, 1_231, 2_653, 33_994, 1_266, 100]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case						)							, _snake_case						)




			def   lowerCamelCase__  (					self    :       Optional[int]						)   ->			Union[str, Any]:







								"""simple docstring"""
								pass




			def   lowerCamelCase__  (					self    :       Optional[int]						)   ->			int:







								"""simple docstring"""
								pass






			def   lowerCamelCase__  (					self    :       Tuple						)   ->			int:







								"""simple docstring"""
								pass






"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_       :    Dict						      =			{'''configuration_plbart''': ['''PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''PLBartConfig''']}

try:
		if not is_sentencepiece_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_       :    int						      =			['''PLBartTokenizer''']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCamelCase_       :    Optional[int]						      =			[
		    '''PLBART_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''PLBartForCausalLM''',
		    '''PLBartForConditionalGeneration''',
		    '''PLBartForSequenceClassification''',
		    '''PLBartModel''',
		    '''PLBartPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

		try:
				if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .tokenization_plbart import PLBartTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_plbart import (
				    PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
				    PLBartForCausalLM,
				    PLBartForConditionalGeneration,
				    PLBartForSequenceClassification,
				    PLBartModel,
				    PLBartPreTrainedModel,
				)


else:
		import sys

		UpperCamelCase_       :    Optional[int]						      =			_LazyModule(__name__, globals()['''__file__'''], _import_structure)




