


"""simple docstring"""







from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase_       :       str      						=  logging.get_logger(__name__)

lowerCamelCase_       :       List[Any]      						=  {
    """google/fnet-base""": """https://huggingface.co/google/fnet-base/resolve/main/config.json""",
    """google/fnet-large""": """https://huggingface.co/google/fnet-large/resolve/main/config.json"""
    # See all FNet models at https://huggingface.co/models?filter=fnet
}






class 				__A    (	_SCREAMING_SNAKE_CASE      ):






 """simple docstring"""




 __lowerCAmelCase			 =  "fnet"


 def __init__(		self			,   __A=3_2000			,   __A=768			,   __A=12			,   __A=3072			,   __A="gelu_new"			,   __A=0.1			,   __A=512			,   __A=4			,   __A=0.02			,   __A=1E-1_2			,   __A=False			,   __A=512			,   __A=3			,   __A=1			,   __A=2			,   **__A			,   ) ->					int:
     super().__init__(pad_token_id=__A			,   bos_token_id=__A			,   eos_token_id=__A			,   **__A						)

     a					=vocab_size
     a					=max_position_embeddings
     a					=hidden_size
     a					=num_hidden_layers
     a					=intermediate_size
     a					=hidden_act
     a					=hidden_dropout_prob
     a					=initializer_range
     a					=type_vocab_size
     a					=layer_norm_eps
     a					=use_tpu_fourier_optimizations
     a					=tpu_short_seq_length



"""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 				__A    (	_SCREAMING_SNAKE_CASE,   unittest.TestCase      ):






 """simple docstring"""




 __lowerCAmelCase			 =  RoFormerTokenizer
 __lowerCAmelCase			 =  RoFormerTokenizerFast
 __lowerCAmelCase			 =  True
 __lowerCAmelCase			 =  True


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					List[str]:
     super().setUp()


 def 				SCREAMING_SNAKE_CASE							(		self			,   **__A						) ->					Optional[int]:
     return self.tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''			,   **__A						)


 def 				SCREAMING_SNAKE_CASE							(		self			,   **__A						) ->					List[Any]:
     return self.rust_tokenizer_class.from_pretrained('''junnyu/roformer_chinese_base'''			,   **__A						)


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Dict:
     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 				SCREAMING_SNAKE_CASE							(		self						) ->					Optional[int]:
     a					=self.get_tokenizer()
     a		,				a					=self.get_chinese_input_output_texts()
     a					=tokenizer.tokenize(__A						)

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

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


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Union[str, Any]:
     a					=self.get_rust_tokenizer()
     a		,				a					=self.get_chinese_input_output_texts()
     a					=tokenizer.tokenize(__A						)
     self.assertListEqual(__A			,   output_text.split()						)
     a					=tokens + [tokenizer.unk_token]
     a					=[2_2943, 2_1332, 3_4431, 4_5904, 117, 306, 1231, 1231, 2653, 3_3994, 1266, 100]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__A						)			,   __A						)


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Tuple:
     pass


 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Tuple:
     pass





 def 				SCREAMING_SNAKE_CASE							(		self						) ->					int:
     pass