





'''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		(			a_							,     unittest.TestCase	):






     """simple docstring"""






     snake_case_						      =   RoFormerTokenizer
     snake_case_						      =   RoFormerTokenizerFast
     snake_case_						      =   True
     snake_case_						      =   True



     def      lowerCAmelCase			(   self							:			Dict						)->	Optional[Any]:
        super().setUp()



     def      lowerCAmelCase			(   self							:			int   ,       **__snake_case							:			Dict						)->	Any:
        return self.tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""   ,       **lowerCAmelCase_						)



     def      lowerCAmelCase			(   self							:			List[str]   ,       **__snake_case							:			Dict						)->	Any:
        return self.rust_tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""   ,       **lowerCAmelCase_						)



     def      lowerCAmelCase			(   self							:			Tuple						)->	Optional[int]:
        snake_case 						=   """永和服装饰品有限公司,今天天气非常好"""
        snake_case 						=   """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							:			str						)->	Union[str, Any]:
        snake_case 						=   self.get_tokenizer()
        snake_case						,    snake_case 						=   self.get_chinese_input_output_texts()
        snake_case 						=   tokenizer.tokenize(lowerCAmelCase_						)

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

        snake_case 						=   tokens + [tokenizer.unk_token]
        snake_case 						=   [2_29_43, 2_13_32, 3_44_31, 4_59_04, 1_17, 3_06, 12_31, 12_31, 26_53, 3_39_94, 12_66, 1_00]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_						)   ,       lowerCAmelCase_						)



     def      lowerCAmelCase			(   self							:			Optional[int]						)->	List[Any]:
        snake_case 						=   self.get_rust_tokenizer()
        snake_case						,    snake_case 						=   self.get_chinese_input_output_texts()
        snake_case 						=   tokenizer.tokenize(lowerCAmelCase_						)
        self.assertListEqual(lowerCAmelCase_   ,       output_text.split()						)
        snake_case 						=   tokens + [tokenizer.unk_token]
        snake_case 						=   [2_29_43, 2_13_32, 3_44_31, 4_59_04, 1_17, 3_06, 12_31, 12_31, 26_53, 3_39_94, 12_66, 1_00]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_						)   ,       lowerCAmelCase_						)



     def      lowerCAmelCase			(   self							:			List[str]						)->	List[str]:
        pass



     def      lowerCAmelCase			(   self							:			Union[str, Any]						)->	List[str]:
        pass



     def      lowerCAmelCase			(   self							:			Optional[int]						)->	Dict:
        pass





'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase__  			=				{
    '''configuration_owlvit''': [
        '''OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''OwlViTConfig''',
        '''OwlViTOnnxConfig''',
        '''OwlViTTextConfig''',
        '''OwlViTVisionConfig''',
    ],
    '''processing_owlvit''': ['''OwlViTProcessor'''],
}


try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__  			=				['''OwlViTFeatureExtractor''']
					UpperCAmelCase__  			=				['''OwlViTImageProcessor''']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__  			=				[
					    '''OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''OwlViTModel''',
					    '''OwlViTPreTrainedModel''',
					    '''OwlViTTextModel''',
					    '''OwlViTVisionModel''',
					    '''OwlViTForObjectDetection''',
					]

if TYPE_CHECKING:
					from .configuration_owlvit import (
					    OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    OwlViTConfig,
					    OwlViTOnnxConfig,
					    OwlViTTextConfig,
					    OwlViTVisionConfig,
					)
					from .processing_owlvit import OwlViTProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_owlvit import OwlViTFeatureExtractor
										from .image_processing_owlvit import OwlViTImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_owlvit import (
										    OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    OwlViTForObjectDetection,
										    OwlViTModel,
										    OwlViTPreTrainedModel,
										    OwlViTTextModel,
										    OwlViTVisionModel,
										)

else:
					import sys

					UpperCAmelCase__  			=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



