



'''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 							lowercase       (  _lowerCamelCase					,					unittest.TestCase				):


 """simple docstring"""


 UpperCAmelCase							=  RoFormerTokenizer
 UpperCAmelCase							=  RoFormerTokenizerFast
 UpperCAmelCase							=  True
 UpperCAmelCase							=  True







 def _snake_case (							self							)		->   List[Any]:
        super().setUp()







 def _snake_case (							self  ,**a_							)		->   Optional[int]:
        return self.tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""  ,**a_							)







 def _snake_case (							self  ,**a_							)		->   Union[str, Any]:
        return self.rust_tokenizer_class.from_pretrained("""junnyu/roformer_chinese_base"""  ,**a_							)







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

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

        _UpperCAmelCase  :						Optional[int]			     = tokens + [tokenizer.unk_token]
        _UpperCAmelCase  :						Any			     = [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(a_							)  ,a_							)







 def _snake_case (							self							)		->   Union[str, Any]:
        _UpperCAmelCase  :						Optional[int]			     = self.get_rust_tokenizer()
        _UpperCAmelCase     ,_UpperCAmelCase  :						Tuple			     = self.get_chinese_input_output_texts()
        _UpperCAmelCase  :						Optional[Any]			     = tokenizer.tokenize(a_							)
        self.assertListEqual(a_  ,output_text.split()							)
        _UpperCAmelCase  :						List[str]			     = tokens + [tokenizer.unk_token]
        _UpperCAmelCase  :						List[Any]			     = [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(a_							)  ,a_							)







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







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







 def _snake_case (							self							)		->   int:
        pass








'''simple docstring'''






from torch import nn



class 							lowercase       (  nn.Module				):


 """simple docstring"""


 def __init__(							self  ,a_  ,a_							)		->   List[Any]:
        super().__init__()
        _UpperCAmelCase  :						Dict			     = class_size
        _UpperCAmelCase  :						Union[str, Any]			     = embed_size
        # self.mlp1 = nn.Linear(embed_size, embed_size)
        # self.mlp2 = (nn.Linear(embed_size, class_size))
        _UpperCAmelCase  :						List[Any]			     = nn.Linear(a_  ,a_							)







 def _snake_case (							self  ,a_							)		->   Tuple:
        # hidden_state = nn.functional.relu(self.mlp1(hidden_state))
        # hidden_state = self.mlp2(hidden_state)
        _UpperCAmelCase  :						Optional[int]			     = self.mlp(a_							)
        return logits



