


'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase				=logging.get_logger(__name__)

lowercase				={
    'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/config.json',
    'YituTech/conv-bert-medium-small': (
        'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/config.json'
    ),
    'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/config.json',
    # See all ConvBERT models at https://huggingface.co/models?filter=convbert
}






class    __magic_name__				(						lowerCAmelCase							):
       UpperCAmelCase		 ="convbert"






       def __init__(     self    ,				snake_case=3_0_5_2_2    ,				snake_case=7_6_8    ,				snake_case=1_2    ,				snake_case=1_2    ,				snake_case=3_0_7_2    ,				snake_case="gelu"    ,				snake_case=0.1    ,				snake_case=0.1    ,				snake_case=5_1_2    ,				snake_case=2    ,				snake_case=0.02    ,				snake_case=1E-1_2    ,				snake_case=1    ,				snake_case=0    ,				snake_case=2    ,				snake_case=7_6_8    ,				snake_case=2    ,				snake_case=9    ,				snake_case=1    ,				snake_case=None    ,				**snake_case    ,				)		->    List[str]:




          '''simple docstring'''
          super().__init__(
              pad_token_id=snake_case    ,				bos_token_id=snake_case    ,				eos_token_id=snake_case    ,				**snake_case    ,				)

          _UpperCAmelCase  :  Tuple				       =vocab_size
          _UpperCAmelCase  :  int				       =hidden_size
          _UpperCAmelCase  :  List[str]				       =num_hidden_layers
          _UpperCAmelCase  :  List[Any]				       =num_attention_heads
          _UpperCAmelCase  :  List[str]				       =intermediate_size
          _UpperCAmelCase  :  List[Any]				       =hidden_act
          _UpperCAmelCase  :  Dict				       =hidden_dropout_prob
          _UpperCAmelCase  :  str				       =attention_probs_dropout_prob
          _UpperCAmelCase  :  List[Any]				       =max_position_embeddings
          _UpperCAmelCase  :  Union[str, Any]				       =type_vocab_size
          _UpperCAmelCase  :  List[Any]				       =initializer_range
          _UpperCAmelCase  :  Any				       =layer_norm_eps
          _UpperCAmelCase  :  Dict				       =embedding_size
          _UpperCAmelCase  :  List[str]				       =head_ratio
          _UpperCAmelCase  :  Any				       =conv_kernel_size
          _UpperCAmelCase  :  int				       =num_groups
          _UpperCAmelCase  :  Any				       =classifier_dropout






class    __magic_name__				(						lowerCAmelCase							):






       @property
       def      lowerCAmelCase						(     self)		->    Mapping[str, Mapping[int, str]]:




          '''simple docstring'''
          if self.task == "multiple-choice":
             _UpperCAmelCase  :  Tuple				       ={0: 'batch', 1: 'choice', 2: 'sequence'}
          else:
             _UpperCAmelCase  :  str				       ={0: 'batch', 1: 'sequence'}
          return OrderedDict(
              [
                  ('input_ids', dynamic_axis),
                  ('attention_mask', dynamic_axis),
                  ('token_type_ids', dynamic_axis),
              ])





'''simple docstring'''






import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text





def lowerCamelCase__     (		__lowerCamelCase			:				List[str]				):







   '''simple docstring'''




   _UpperCAmelCase  :  int				       =[]
   for line in lines:
      _UpperCAmelCase  :  Dict				       =re.sub(R'#.*'			,       ''			,       __lowerCamelCase				)  # remove comments
      if line:
         filtered_lines.append(__lowerCamelCase				)
   _UpperCAmelCase  :  str				       ='\n'.join(__lowerCamelCase				)

   # Make a hash from all this code
   _UpperCAmelCase  :  str				       =full_str.encode('utf-8'				)
   return shaaaa(__lowerCamelCase				).hexdigest()


# get importable module names and hash for caching
lowercase				={
    'csv': (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    'json': (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    'pandas': (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    'parquet': (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    'arrow': (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    'text': (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    'imagefolder': (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    'audiofolder': (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
lowercase				={
    '.csv': ('csv', {}),
    '.tsv': ('csv', {'sep': '\t'}),
    '.json': ('json', {}),
    '.jsonl': ('json', {}),
    '.parquet': ('parquet', {}),
    '.arrow': ('arrow', {}),
    '.txt': ('text', {}),
}
_EXTENSION_TO_MODULE.update({ext: ('imagefolder', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('imagefolder', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ('audiofolder', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('audiofolder', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
lowercase				={'imagefolder', 'audiofolder'}

# Used to filter data files based on extensions given a module name
lowercase				={}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
 _MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append('.zip')




_MODULE_TO_EXTENSIONS["audiofolder"].append('.zip')

