




"""simple docstring"""







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   (							_lowercase ,_lowercase ,_lowercase						):


				"""simple docstring"""







				if not inplace:
								UpperCamelCase										=  ma + ma
				else:
								ma += ma

				return ma





def     __snake_case   (							_lowercase ,_lowercase						):


				"""simple docstring"""







				UpperCamelCase										=  -1 * len(_lowercase						)
				UpperCamelCase										=  list(range(len(tensor.shape[:zero_index]						)						)						)
				return tensor.permute(first_inds + [zero_index + i for i in inds]						)





def     __snake_case   (							_lowercase ,_lowercase						):


				"""simple docstring"""







				return t.reshape(t.shape[:-no_dims] + (-1,)						)





def     __snake_case   (							_lowercase ,_lowercase ,_lowercase ,_lowercase = 1e-4						):


				"""simple docstring"""







				UpperCamelCase										=  mask.expand(*value.shape						)
				return torch.sum(mask * value ,dim=_lowercase						) / (eps + torch.sum(_lowercase ,dim=_lowercase						))





def     __snake_case   (							_lowercase ,_lowercase = 2.3125 ,_lowercase = 21.6875 ,_lowercase = 64						):


				"""simple docstring"""







				UpperCamelCase										=  torch.linspace(_lowercase ,_lowercase ,no_bins - 1 ,device=pts.device						)
				UpperCamelCase										=  torch.sqrt(torch.sum((pts.unsqueeze(-2						) - pts.unsqueeze(-3						)) ** 2 ,dim=-1						)						)
				return torch.bucketize(_lowercase ,_lowercase						)





def     __snake_case   (							_lowercase ,_lowercase						):


				"""simple docstring"""







				UpperCamelCase										=  dicts[0]
				UpperCamelCase										=  {}
				for k, v in first.items():
								UpperCamelCase										=  [d[k] for d in dicts]
								if isinstance(_lowercase ,_lowercase						):
												UpperCamelCase										=  dict_multimap(_lowercase ,_lowercase						)
								else:
												UpperCamelCase										=  fn(_lowercase						)

				return new_dict





def     __snake_case   (							_lowercase ,_lowercase						):


				"""simple docstring"""







				UpperCamelCase										=  v_bins.view(((1,) * len(x.shape						)) + (len(_lowercase						),)						)
				UpperCamelCase										=  x[..., None] - reshaped_bins
				UpperCamelCase										=  torch.argmin(torch.abs(_lowercase						) ,dim=-1						)
				return nn.functional.one_hot(_lowercase ,num_classes=len(_lowercase						)						).float()





def     __snake_case   (							_lowercase ,_lowercase ,_lowercase = 0 ,_lowercase = 0						):


				"""simple docstring"""







				UpperCamelCase										=  []
				for i, s in enumerate(data.shape[:no_batch_dims]						):
								UpperCamelCase										=  torch.arange(_lowercase						)
								UpperCamelCase										=  r.view(*(*((1,) * i), -1, *((1,) * (len(inds.shape						) - i - 1)))						)
								ranges.append(_lowercase						)

				UpperCamelCase										=  [slice(_lowercase						) for _ in range(len(data.shape						) - no_batch_dims						)]
				UpperCamelCase										=  inds
				ranges.extend(_lowercase						)
				# 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(_lowercase						)]


SCREAMING_SNAKE_CASE_      =					TypeVar('T')





def     __snake_case   (							_lowercase ,_lowercase ,_lowercase						):


				"""simple docstring"""







				UpperCamelCase										=  {}
				for k, v in dic.items():
								if isinstance(_lowercase ,_lowercase						):
												UpperCamelCase										=  dict_map(_lowercase ,_lowercase ,_lowercase						)
								else:
												UpperCamelCase										=  tree_map(_lowercase ,_lowercase ,_lowercase						)

				return new_dict





@overload
def     __snake_case   (							_lowercase ,_lowercase ,_lowercase						):


				"""simple docstring"""







				...





@overload
def     __snake_case   (							_lowercase ,_lowercase ,_lowercase						):


				"""simple docstring"""







				...





@overload
def     __snake_case   (							_lowercase ,_lowercase ,_lowercase						):


				"""simple docstring"""







				...





@overload
def     __snake_case   (							_lowercase ,_lowercase ,_lowercase						):


				"""simple docstring"""







				...





def     __snake_case   (							_lowercase ,_lowercase ,_lowercase						):


				"""simple docstring"""







				if isinstance(_lowercase ,_lowercase						):
								return dict_map(_lowercase ,_lowercase ,_lowercase						)
				elif isinstance(_lowercase ,_lowercase						):
								return [tree_map(_lowercase ,_lowercase ,_lowercase						) for x in tree]
				elif isinstance(_lowercase ,_lowercase						):
								return tuple(tree_map(_lowercase ,_lowercase ,_lowercase						) for x in tree						)
				elif isinstance(_lowercase ,_lowercase						):
								return fn(_lowercase						)
				else:
								print(type(_lowercase						)						)
								raise ValueError('''Not supported'''						)


SCREAMING_SNAKE_CASE_      =					partial(tree_map, leaf_type=torch.Tensor)





"""simple docstring"""







class 							snake_case_ :







   """simple docstring"""




   def __init__(		self					,				lowerCamelCase_=None)							->      Tuple:
       UpperCamelCase										=  data
       UpperCamelCase										=  None







   def __repr__(		self)							->      Union[str, Any]:
       UpperCamelCase										=  ''''''
       UpperCamelCase										=  self
       while temp:
           string_rep += F'<{temp.data}> ---> '
           UpperCamelCase										=  temp.next
       string_rep += "<END>"
       return string_rep





def     __snake_case   (							_lowercase						):


    """simple docstring"""







    if not elements_list:
        raise Exception('''The Elements List is empty'''						)

    # Set first element as Head
    UpperCamelCase										=  Node(elements_list[0]						)
    UpperCamelCase										=  head
    # Loop through elements from position 1
    for data in elements_list[1:]:
        UpperCamelCase										=  Node(_lowercase						)
        UpperCamelCase										=  current.next
    return head


SCREAMING_SNAKE_CASE_      =					[1, 3, 5, 32, 44, 12, 43]
print(f'List: {list_data}')
print('Creating Linked List from List.')
SCREAMING_SNAKE_CASE_      =					make_linked_list(list_data)
print('Linked List:')


print(linked_list)