code: 
  from functools import partial
  from typing import Any, Callable, Dict, List, Type, TypeVar, Union, overload
  
  import torch
  import torch.nn as nn
  import torch.types
  
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				if not inplace:
  								lowercase						    =			ma + ma
  				else:
  								ma += ma
  
  				return ma
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			-1 * len(__magic_name__	)
  				lowercase						    =			list(range(len(tensor.shape[:zero_index]	)	)	)
  				return tensor.permute(first_inds + [zero_index + i for i in inds]	)
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				return t.reshape(t.shape[:-no_dims] + (-1,)	)
  
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__		,						__magic_name__ = 1e-4	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			mask.expand(*value.shape	)
  				return torch.sum(mask * value		,						dim=__magic_name__	) / (eps + torch.sum(__magic_name__		,						dim=__magic_name__	))
  
  def    __snake_case       (  __magic_name__		,						__magic_name__ = 2.3_1_2_5		,						__magic_name__ = 2_1.6_8_7_5		,						__magic_name__ = 64	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			torch.linspace(__magic_name__		,						__magic_name__		,						no_bins - 1		,						device=pts.device	)
  				lowercase						    =			torch.sqrt(torch.sum((pts.unsqueeze(-2	) - pts.unsqueeze(-3	)) ** 2		,						dim=-1	)	)
  				return torch.bucketize(__magic_name__		,						__magic_name__	)
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			dicts[0]
  				lowercase						    =			{}
  				for k, v in first.items():
  								lowercase						    =			[d[k] for d in dicts]
  								if isinstance(__magic_name__		,						__magic_name__	):
  												lowercase						    =			dict_multimap(__magic_name__		,						__magic_name__	)
  								else:
  												lowercase						    =			fn(__magic_name__	)
  
  				return new_dict
  
  def    __snake_case       (  __magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			v_bins.view(((1,) * len(x.shape	)) + (len(__magic_name__	),)	)
  				lowercase						    =			x[..., None] - reshaped_bins
  				lowercase						    =			torch.argmin(torch.abs(__magic_name__	)		,						dim=-1	)
  				return nn.functional.one_hot(__magic_name__		,						num_classes=len(__magic_name__	)	).float()
  
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__ = 0		,						__magic_name__ = 0	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			[]
  				for i, s in enumerate(data.shape[:no_batch_dims]	):
  								lowercase						    =			torch.arange(__magic_name__	)
  								lowercase						    =			r.view(*(*((1,) * i), -1, *((1,) * (len(inds.shape	) - i - 1)))	)
  								ranges.append(__magic_name__	)
  
  				lowercase						    =			[slice(__magic_name__	) for _ in range(len(data.shape	) - no_batch_dims	)]
  				lowercase						    =			inds
  				ranges.extend(__magic_name__	)
  				# Matt note: Editing this to get around the behaviour of using a list as an array index changing
  				# in recent Numpy versions
  				return data[tuple(__magic_name__	)]
  
  
  _snake_case			:       List[Any]      =						TypeVar("T")
  
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			{}
  				for k, v in dic.items():
  								if isinstance(__magic_name__		,						__magic_name__	):
  												lowercase						    =			dict_map(__magic_name__		,						__magic_name__		,						__magic_name__	)
  								else:
  												lowercase						    =			tree_map(__magic_name__		,						__magic_name__		,						__magic_name__	)
  
  				return new_dict
  
  @overload
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				...
  
  @overload
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				...
  
  @overload
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				...
  
  @overload
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				...
  
  def    __snake_case       (  __magic_name__		,						__magic_name__		,						__magic_name__	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				if isinstance(__magic_name__		,						__magic_name__	):
  								return dict_map(__magic_name__		,						__magic_name__		,						__magic_name__	)
  				elif isinstance(__magic_name__		,						__magic_name__	):
  								return [tree_map(__magic_name__		,						__magic_name__		,						__magic_name__	) for x in tree]
  				elif isinstance(__magic_name__		,						__magic_name__	):
  								return tuple(tree_map(__magic_name__		,						__magic_name__		,						__magic_name__	) for x in tree	)
  				elif isinstance(__magic_name__		,						__magic_name__	):
  								return fn(__magic_name__	)
  				else:
  								print(type(__magic_name__	)	)
  								raise ValueError("Not supported"	)
  
  
  
  
  _snake_case			:       Union[str, Any]      =						partial(tree_map, leaf_type=torch.Tensor)
  
style_context: 
  from __future__ import annotations
  
  import random
  import string
  
  
  
  
  
  class      UpperCamelCase_			:
  
  
  
  
  
  
  
  						'''simple docstring'''
  
  
  
  						def __init__( self       :Dict		,						lowerCAmelCase__       :str | None = None    )     ->None:
  										lowercase						    =			passcode or self.__passcode_creator()
  										lowercase						    =			self.__make_key_list()
  										lowercase						    =			self.__make_shift_key()
  
  
  
  
  
  						def __str__( self       :Dict    )     ->str:
  										return "".join(self.__passcode    )
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :str		,						lowerCAmelCase__       :list[int]    )     ->list[int]:
  										for i in range(1		,						len(lowerCAmelCase__    )		,						2    ):
  														iterlist[i] *= -1
  										return iterlist
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :int    )     ->list[str]:
  										lowercase						    =			string.ascii_letters + string.digits
  										lowercase						    =			[random.choice(lowerCAmelCase__    ) for _ in range(random.randint(10		,						20    )    )]
  										return password
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :Union[str, Any]    )     ->list[str]:
  										lowercase						    =			(
  										    string.ascii_letters + string.digits + string.punctuation + " \t\n"
  										)
  
  										lowercase						    =			[]
  
  										# creates points known as breakpoints to break the key_list_options at those
  										# points and pivot each substring
  										lowercase						    =			sorted(set(self.__passcode    )    )
  										lowercase						    =			[]
  
  										# algorithm for creating a new shuffled list, keys_l, out of key_list_options
  										for i in key_list_options:
  														temp_list.extend(lowerCAmelCase__    )
  
  														# checking breakpoints at which to pivot temporary sublist and add it into
  														# keys_l
  														if i in breakpoints or i == key_list_options[-1]:
  																		keys_l.extend(temp_list[::-1]    )
  																		temp_list.clear()
  
          # returning a shuffled keys_l to prevent brute force guessing of shift key
  										return keys_l
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :Optional[int]    )     ->int:
  										lowercase						    =			sum(self.__neg_pos([ord(lowerCAmelCase__    ) for x in self.__passcode]    )    )
  										return num if num > 0 else len(self.__passcode    )
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :str		,						lowerCAmelCase__       :str    )     ->str:
  										lowercase						    =			""
  
  										# decoding shift like Caesar cipher algorithm implementing negative shift or
  										# reverse shift or left shift
  										for i in encoded_message:
  														lowercase						    =			self.__key_list.index(lowerCAmelCase__    )
  														decoded_message += self.__key_list[
  														    (position - self.__shift_key) % -len(self.__key_list    )
  														]
  
  										return decoded_message
  
  
  
  
  
  						def 					SCREAMING_SNAKE_CASE( self       :Dict		,						lowerCAmelCase__       :str    )     ->str:
  										lowercase						    =			""
  
  										# encoding shift like Caesar cipher algorithm implementing positive shift or
  										# forward shift or right shift
  										for i in plaintext:
  														lowercase						    =			self.__key_list.index(lowerCAmelCase__    )
  														encoded_message += self.__key_list[
  														    (position + self.__shift_key) % len(self.__key_list    )
  														]
  
  										return encoded_message
  
  
  
  
  def    __snake_case       (  __magic_name__ = "Hello, this is a modified Caesar cipher"	):
  
  
  
  
  
  
  
  				'''simple docstring'''
  
  
  				lowercase						    =			ShuffledShiftCipher()
  				return cipa.decrypt(cipa.encrypt(__magic_name__	)	)
  
  
  if __name__ == "__main__":
  						import doctest
  
  						doctest.testmod()
  