





import logging

from transformers.configuration_utils import PretrainedConfig


SCREAMING_SNAKE_CASE_		     = logging.getLogger(__name__)

class 	UpperCamelCase__				(   lowerCAmelCase_     ):



					'''simple docstring'''

					__snake_case					:			List[str]				=    "masked_bert"






					def __init__(							self		:					Any		,lowerCamelCase__		:					List[str]=30522		,lowerCamelCase__		:					int=768		,lowerCamelCase__		:					str=12		,lowerCamelCase__		:					Optional[Any]=12		,lowerCamelCase__		:					Any=3072		,lowerCamelCase__		:					str="gelu"		,lowerCamelCase__		:					List[Any]=0.1		,lowerCamelCase__		:					Any=0.1		,lowerCamelCase__		:					Tuple=512		,lowerCamelCase__		:					Any=2		,lowerCamelCase__		:					Dict=0.02		,lowerCamelCase__		:					List[str]=1e-1_2		,lowerCamelCase__		:					Optional[Any]=0		,lowerCamelCase__		:					Tuple="topK"		,lowerCamelCase__		:					Optional[Any]="constant"		,lowerCamelCase__		:					Any=0.0		,**lowerCamelCase__		:					Dict		,)  ->	str:




											'''simple docstring'''


											super().__init__(pad_token_id=lowerCamelCase__		,**lowerCamelCase__ )

											SCREAMING_SNAKE_CASE	=		vocab_size
											SCREAMING_SNAKE_CASE	=		hidden_size
											SCREAMING_SNAKE_CASE	=		num_hidden_layers
											SCREAMING_SNAKE_CASE	=		num_attention_heads
											SCREAMING_SNAKE_CASE	=		hidden_act
											SCREAMING_SNAKE_CASE	=		intermediate_size
											SCREAMING_SNAKE_CASE	=		hidden_dropout_prob
											SCREAMING_SNAKE_CASE	=		attention_probs_dropout_prob
											SCREAMING_SNAKE_CASE	=		max_position_embeddings
											SCREAMING_SNAKE_CASE	=		type_vocab_size
											SCREAMING_SNAKE_CASE	=		initializer_range
											SCREAMING_SNAKE_CASE	=		layer_norm_eps
											SCREAMING_SNAKE_CASE	=		pruning_method
											SCREAMING_SNAKE_CASE	=		mask_init
											SCREAMING_SNAKE_CASE	=		mask_scale









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      __lowercase     (   _SCREAMING_SNAKE_CASE			)				->     str:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE	=		[]
      for line in lines:
            SCREAMING_SNAKE_CASE	=		re.sub(r"""#.*"""				,		""""""				,		_SCREAMING_SNAKE_CASE			)  # remove comments
            if line:
                  filtered_lines.append(_SCREAMING_SNAKE_CASE			)
      SCREAMING_SNAKE_CASE	=		"""\n""".join(_SCREAMING_SNAKE_CASE			)

      # Make a hash from all this code
      SCREAMING_SNAKE_CASE	=		full_str.encode("""utf-8"""			)
      return shaaaa(_SCREAMING_SNAKE_CASE			).hexdigest()


# get importable module names and hash for caching
SCREAMING_SNAKE_CASE_		     = {
    """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
SCREAMING_SNAKE_CASE_		     = {
    """.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})
SCREAMING_SNAKE_CASE_		     = {"""imagefolder""", """audiofolder"""}

# Used to filter data files based on extensions given a module name
SCREAMING_SNAKE_CASE_		     = {}
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""")


