






"""simple docstring"""




import logging
import os

from .state import PartialState




class     _lowerCAmelCase(	logging.LoggerAdapter ):





       """simple docstring"""







       @staticmethod
       def       _a   ( _lowerCamelCase							):
         UpperCamelCase_: Tuple   				=    PartialState()
         return not main_process_only or (main_process_only and state.is_main_process)





       def       _a   ( self  ,      _lowerCamelCase  ,      _lowerCamelCase  ,      *_lowerCamelCase  ,      **_lowerCamelCase							):
         if PartialState._shared_state == {}:
           raise RuntimeError(
               'You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility.'							)
         UpperCamelCase_: Optional[Any]   				=    kwargs.pop('main_process_only'  ,      __UpperCamelCase							)
         UpperCamelCase_: Optional[int]   				=    kwargs.pop('in_order'  ,      __UpperCamelCase							)

         if self.isEnabledFor(__UpperCamelCase							):
           if self._should_log(__UpperCamelCase							):
             UpperCamelCase_				,UpperCamelCase_: int   				=    self.process(__UpperCamelCase  ,      __UpperCamelCase							)
             self.logger.log(__UpperCamelCase  ,      __UpperCamelCase  ,      *__UpperCamelCase  ,      **__UpperCamelCase							)

           elif in_order:
             UpperCamelCase_: int   				=    PartialState()
             for i in range(state.num_processes							):
               if i == state.process_index:
                 UpperCamelCase_				,UpperCamelCase_: Optional[int]   				=    self.process(__UpperCamelCase  ,      __UpperCamelCase							)
                 self.logger.log(__UpperCamelCase  ,      __UpperCamelCase  ,      *__UpperCamelCase  ,      **__UpperCamelCase							)
               state.wait_for_everyone()







def   snake_case (UpperCAmelCase__     ,   UpperCAmelCase__ = None  )	->    int:
  if log_level is None:
    UpperCamelCase_: Dict   				=    os.environ.get('ACCELERATE_LOG_LEVEL'     ,   a__  )
  UpperCamelCase_: str   				=    logging.getLogger(a__  )
  if log_level is not None:
    logger.setLevel(log_level.upper()  )
    logger.root.setLevel(log_level.upper()  )
  return MultiProcessAdapter(a__     ,   {}  )







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(	UpperCAmelCase_							,     unittest.TestCase ):





       """simple docstring"""







       a    :		Optional[int]									=RoFormerTokenizer
       a    :		int									=RoFormerTokenizerFast
       a    :		int									=True
       a    :		Optional[int]									=True





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





       def       _a   ( self  ,      **_lowerCamelCase							):
         return self.tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'  ,      **_lowerCamelCase							)





       def       _a   ( self  ,      **_lowerCamelCase							):
         return self.rust_tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'  ,      **_lowerCamelCase							)





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





       def       _a   ( self							):
         UpperCamelCase_: int   				=    self.get_tokenizer()
         UpperCamelCase_				,UpperCamelCase_: int   				=    self.get_chinese_input_output_texts()
         UpperCamelCase_: Tuple   				=    tokenizer.tokenize(_lowerCamelCase							)

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

         UpperCamelCase_: Dict   				=    tokens + [tokenizer.unk_token]
         UpperCamelCase_: Dict   				=    [2_2_9_4_3, 2_1_3_3_2, 3_4_4_3_1, 4_5_9_0_4, 1_1_7, 3_0_6, 1_2_3_1, 1_2_3_1, 2_6_5_3, 3_3_9_9_4, 1_2_6_6, 1_0_0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase							)  ,      _lowerCamelCase							)





       def       _a   ( self							):
         UpperCamelCase_: Optional[Any]   				=    self.get_rust_tokenizer()
         UpperCamelCase_				,UpperCamelCase_: Tuple   				=    self.get_chinese_input_output_texts()
         UpperCamelCase_: Optional[Any]   				=    tokenizer.tokenize(_lowerCamelCase							)
         self.assertListEqual(_lowerCamelCase  ,      output_text.split()							)
         UpperCamelCase_: str   				=    tokens + [tokenizer.unk_token]
         UpperCamelCase_: Optional[Any]   				=    [2_2_9_4_3, 2_1_3_3_2, 3_4_4_3_1, 4_5_9_0_4, 1_1_7, 3_0_6, 1_2_3_1, 1_2_3_1, 2_6_5_3, 3_3_9_9_4, 1_2_6_6, 1_0_0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase							)  ,      _lowerCamelCase							)





       def       _a   ( self							):
         pass





       def       _a   ( self							):
         pass





       def       _a   ( self							):
         pass