





import copy
import re





class A_					:
   lowerCAmelCase__        = """hp"""
   lowerCAmelCase__        = {}
   lowerCAmelCase__        = None




   @classmethod
   def _lowerCAmelCase      (cls	:str    ,   _UpperCamelCase	:Tuple    ,   _UpperCamelCase	:Any )->					Optional[Any]:
         __A          =				prefix
         __A          =				defaults
         cls.build_naming_info()




   @staticmethod
   def _lowerCAmelCase      (_UpperCamelCase	:str    ,   _UpperCamelCase	:int )->					Tuple:
         if len(_UpperCamelCase ) == 0:
               return ""
         __A          =				None
         if any(char.isdigit() for char in word ):
               raise Exception(f"""Parameters should not contain numbers: '{word}' contains a number""" )
         if word in info["short_word"]:
               return info["short_word"][word]
         for prefix_len in range(1    ,   len(_UpperCamelCase ) + 1 ):
               __A          =				word[:prefix_len]
               if prefix in info["reverse_short_word"]:
                     continue
               else:
                     __A          =				prefix
                     break

         if short_word is None:
               # Paranoid fallback
               def int_to_alphabetic(_UpperCamelCase	:Dict ):
                     __A          =				''''''
                     while integer != 0:
                           __A          =				chr(ord('''A''' ) + integer % 10 ) + s
                           integer //= 10
                     return s

               __A          =				0
               while True:
                     __A          =				word + '''#''' + int_to_alphabetic(_UpperCamelCase )
                     if sword in info["reverse_short_word"]:
                           continue
                     else:
                           __A          =				sword
                           break

         __A          =				short_word
         __A          =				word
         return short_word




   @staticmethod
   def _lowerCAmelCase      (_UpperCamelCase	:Any    ,   _UpperCamelCase	:Any )->					Tuple:
         __A          =				param_name.split('''_''' )

         __A          =				[TrialShortNamer.shortname_for_word(_UpperCamelCase    ,   _UpperCamelCase ) for word in words]

         # We try to create a separatorless short name, but if there is a collision we have to fallback
         # to a separated short name
         __A          =				['''''', '''_''']

         for separator in separators:
               __A          =				separator.join(_UpperCamelCase )
               if shortname not in info["reverse_short_param"]:
                     __A          =				shortname
                     __A          =				param_name
                     return shortname

         return param_name




   @staticmethod
   def _lowerCAmelCase      (_UpperCamelCase	:int    ,   _UpperCamelCase	:List[str] )->					List[Any]:
         __A          =				TrialShortNamer.shortname_for_key(_UpperCamelCase    ,   _UpperCamelCase )
         __A          =				short_name
         __A          =				param_name




   @classmethod
   def _lowerCAmelCase      (cls	:List[str] )->					int:
         if cls.NAMING_INFO is not None:
               return

         __A          =				{
             '''short_word''': {},
             '''reverse_short_word''': {},
             '''short_param''': {},
             '''reverse_short_param''': {},
         }

         __A          =				list(cls.DEFAULTS.keys() )

         for k in field_keys:
               cls.add_new_param_name(_UpperCamelCase    ,   _UpperCamelCase )

         __A          =				info




   @classmethod
   def _lowerCAmelCase      (cls	:Tuple    ,   _UpperCamelCase	:List[str] )->					Optional[int]:
         cls.build_naming_info()
         assert cls.PREFIX is not None
         __A          =				[copy.copy(cls.PREFIX )]

         for k, v in params.items():
               if k not in cls.DEFAULTS:
                     raise Exception(f"""You should provide a default value for the param name {k} with value {v}""" )
               if v == cls.DEFAULTS[k]:
                     # The default value is not added to the name
                     continue

               __A          =				cls.NAMING_INFO['''short_param'''][k]

               if isinstance(_UpperCamelCase    ,   _UpperCamelCase ):
                     __A          =				1 if v else 0

               __A          =				'''''' if isinstance(_UpperCamelCase    ,   (int, float) ) else '''-'''
               __A          =				f"""{key}{sep}{v}"""
               name.append(_UpperCamelCase )

         return "_".join(_UpperCamelCase )






   @classmethod
   def _lowerCAmelCase      (cls	:Dict    ,   _UpperCamelCase	:str )->					Union[str, Any]:
         __A          =				repr[len(cls.PREFIX ) + 1 :]
         if repr == "":
               __A          =				[]
         else:
               __A          =				repr.split('''_''' )

         __A          =				{}

         for value in values:
               if "-" in value:
                     __A   ,						__A          =				value.split('''-''' )
               else:
                     __A          =				re.sub('''[0-9.]'''    ,   ''''''    ,   _UpperCamelCase )
                     __A          =				float(re.sub('''[^0-9.]'''    ,   ''''''    ,   _UpperCamelCase ) )

               __A          =				cls.NAMING_INFO['''reverse_short_param'''][p_k]

               __A          =				p_v

         for k in cls.DEFAULTS:
               if k not in parameters:
                     __A          =				cls.DEFAULTS[k]

         return parameters












from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


snake_case__					:							Optional[Any]													=     {'configuration_ibert': ['IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'IBertConfig', 'IBertOnnxConfig']}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case__					:							List[str]													=     [
           'IBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
           'IBertForMaskedLM',
           'IBertForMultipleChoice',
           'IBertForQuestionAnswering',
           'IBertForSequenceClassification',
           'IBertForTokenClassification',
           'IBertModel',
           'IBertPreTrainedModel',
       ]

if TYPE_CHECKING:
       from .configuration_ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig, IBertOnnxConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_ibert import (
                  IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  IBertForMaskedLM,
                  IBertForMultipleChoice,
                  IBertForQuestionAnswering,
                  IBertForSequenceClassification,
                  IBertForTokenClassification,
                  IBertModel,
                  IBertPreTrainedModel,
              )

else:
       import sys

       snake_case__					:							Dict													=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





