





from __future__ import annotations

import bisect



def        _a						(    UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase = 0			,  UpperCAmelCase = -1     )				->				Tuple:







   """simple docstring"""
   if hi < 0:
      lowerCamelCase__   :						List[Any]					   =							len(snake_case_     )

   while lo < hi:
      lowerCamelCase__   :						str					   =							lo + (hi - lo) // 2
      if sorted_collection[mid] < item:
         lowerCamelCase__   :						str					   =							mid + 1
      else:
         lowerCamelCase__   :						Tuple					   =							mid

   return lo



def        _a						(    UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase = 0			,  UpperCAmelCase = -1     )				->				Optional[Any]:







   """simple docstring"""
   if hi < 0:
      lowerCamelCase__   :						List[str]					   =							len(snake_case_     )

   while lo < hi:
      lowerCamelCase__   :						Tuple					   =							lo + (hi - lo) // 2
      if sorted_collection[mid] <= item:
         lowerCamelCase__   :						Union[str, Any]					   =							mid + 1
      else:
         lowerCamelCase__   :						Any					   =							mid

   return lo



def        _a						(    UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase = 0			,  UpperCAmelCase = -1     )				->				int:







   """simple docstring"""
   sorted_collection.insert(bisect_left(snake_case_			,  snake_case_			,  snake_case_			,  snake_case_     )			,  snake_case_     )



def        _a						(    UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase = 0			,  UpperCAmelCase = -1     )				->				Optional[Any]:







   """simple docstring"""
   sorted_collection.insert(bisect_right(snake_case_			,  snake_case_			,  snake_case_			,  snake_case_     )			,  snake_case_     )



def        _a						(    UpperCAmelCase			,  UpperCAmelCase     )				->				int:







   """simple docstring"""
   lowerCamelCase__   :						Optional[int]					   =							0
   lowerCamelCase__   :						Optional[Any]					   =							len(snake_case_     ) - 1

   while left <= right:
      lowerCamelCase__   :						List[str]					   =							left + (right - left) // 2
      lowerCamelCase__   :						List[Any]					   =							sorted_collection[midpoint]
      if current_item == item:
         return midpoint
      elif item < current_item:
         lowerCamelCase__   :						List[Any]					   =							midpoint - 1
      else:
         lowerCamelCase__   :						List[str]					   =							midpoint + 1
   return None



def        _a						(    UpperCAmelCase			,  UpperCAmelCase     )				->				Optional[int]:







   """simple docstring"""
   lowerCamelCase__   :						int					   =							bisect.bisect_left(snake_case_			,  snake_case_     )
   if index != len(snake_case_     ) and sorted_collection[index] == item:
      return index
   return None



def        _a						(    UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase     )				->				Any:







   """simple docstring"""
   if right < left:
      return None

   lowerCamelCase__   :						List[str]					   =							left + (right - left) // 2

   if sorted_collection[midpoint] == item:
      return midpoint
   elif sorted_collection[midpoint] > item:
      return binary_search_by_recursion(snake_case_			,  snake_case_			,  snake_case_			,  midpoint - 1     )
   else:
      return binary_search_by_recursion(snake_case_			,  snake_case_			,  midpoint + 1			,  snake_case_     )


if __name__ == "__main__":
       _A					:    Union[str, Any]   =  input('Enter numbers separated by comma:\n').strip()
       _A					:    List[Any]   =  sorted(int(item) for item in user_input.split(','))
       _A					:    Tuple   =  int(input('Enter a single number to be found in the list:\n'))
       _A					:    List[str]   =  binary_search(collection, target)
       if result is None:
              print(F'''{target} was not found in {collection}.''')
       else:
              print(F'''{target} was found at position {result} in {collection}.''')









from collections import OrderedDict
from typing import Mapping

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


_snake_case										=       logging.get_logger(__name__)

_snake_case										=       {
    "facebook/xmod-base": "https://huggingface.co/facebook/xmod-base/resolve/main/config.json",
    "facebook/xmod-large-prenorm": "https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json",
    "facebook/xmod-base-13-125k": "https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json",
    "facebook/xmod-base-30-125k": "https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json",
    "facebook/xmod-base-30-195k": "https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json",
    "facebook/xmod-base-60-125k": "https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json",
    "facebook/xmod-base-60-265k": "https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json",
    "facebook/xmod-base-75-125k": "https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json",
    "facebook/xmod-base-75-269k": "https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json",
}







class 						lowercase							(   UpperCamelCase__		):
     _a							 =						"xmod"

     def __init__(  self		,     _a=3_0522		,     _a=768		,     _a=12		,     _a=12		,     _a=3072		,     _a="gelu"		,     _a=0.1		,     _a=0.1		,     _a=512		,     _a=2		,     _a=0.02		,     _a=1e-12		,     _a=1		,     _a=0		,     _a=2		,     _a="absolute"		,     _a=True		,     _a=None		,     _a=False		,     _a=2		,     _a=False		,     _a=True		,     _a=True		,     _a=("en_XX",)		,     _a=None		,     **_a		,     )						->							str:
           super().__init__(pad_token_id=_a		,     bos_token_id=_a		,     eos_token_id=_a		,     **_a				)

           _A							:     Tuple			=						vocab_size
           _A							:     Union[str, Any]			=						hidden_size
           _A							:     Dict			=						num_hidden_layers
           _A							:     Dict			=						num_attention_heads
           _A							:     List[Any]			=						hidden_act
           _A							:     Optional[Any]			=						intermediate_size
           _A							:     Any			=						hidden_dropout_prob
           _A							:     str			=						attention_probs_dropout_prob
           _A							:     Dict			=						max_position_embeddings
           _A							:     Any			=						type_vocab_size
           _A							:     List[Any]			=						initializer_range
           _A							:     int			=						layer_norm_eps
           _A							:     int			=						position_embedding_type
           _A							:     Any			=						use_cache
           _A							:     int			=						classifier_dropout
           _A							:     int			=						pre_norm
           _A							:     Optional[Any]			=						adapter_reduction_factor
           _A							:     List[Any]			=						adapter_layer_norm
           _A							:     Optional[int]			=						adapter_reuse_layer_norm
           _A							:     Any			=						ln_before_adapter
           _A							:     Union[str, Any]			=						list(_a				)
           _A							:     List[Any]			=						default_language







class 						lowercase							(   UpperCamelCase__		):

     @property
     def 					a__	(  self				)						->							Mapping[str, Mapping[int, str]]:
           if self.task == "multiple-choice":
                 _A							:     Dict			=						{0: """batch""", 1: """choice""", 2: """sequence"""}
           else:
                 _A							:     Dict			=						{0: """batch""", 1: """sequence"""}
           return OrderedDict(
               [
                   ("""input_ids""", dynamic_axis),
                   ("""attention_mask""", dynamic_axis),
               ]				)

