
"""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 			lowercase__  (    lowerCAmelCase :    torch.Tensor       , lowerCAmelCase :    torch.Tensor       , lowerCAmelCase :    bool       )       ->					torch.Tensor:






    """simple docstring"""




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

    return ma




def 			lowercase__  (    lowerCAmelCase :    torch.Tensor       , lowerCAmelCase :    List[int]       )       ->					torch.Tensor:






    """simple docstring"""




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




def 			lowercase__  (    lowerCAmelCase :    torch.Tensor       , lowerCAmelCase :    int       )       ->					torch.Tensor:






    """simple docstring"""




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




def 			lowercase__  (    lowerCAmelCase :    torch.Tensor       , lowerCAmelCase :    torch.Tensor       , lowerCAmelCase :    int       , lowerCAmelCase :    float = 1E-4       )       ->					torch.Tensor:






    """simple docstring"""




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




def 			lowercase__  (    lowerCAmelCase :    torch.Tensor       , lowerCAmelCase :    torch.types.Number = 2.3125       , lowerCAmelCase :    torch.types.Number = 21.6875       , lowerCAmelCase :    int = 64       )       ->					torch.Tensor:






    """simple docstring"""




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




def 			lowercase__  (    lowerCAmelCase :    Callable[[list], Any]       , lowerCAmelCase :    List[dict]       )       ->					dict:






    """simple docstring"""




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

    return new_dict




def 			lowercase__  (    lowerCAmelCase :    torch.Tensor       , lowerCAmelCase :    torch.Tensor       )       ->					torch.Tensor:






    """simple docstring"""




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




def 			lowercase__  (    lowerCAmelCase :    torch.Tensor       , lowerCAmelCase :    torch.Tensor       , lowerCAmelCase :    int = 0       , lowerCAmelCase :    int = 0       )       ->					torch.Tensor:






    """simple docstring"""




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

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


SCREAMING_SNAKE_CASE_			    =  TypeVar('''T''')




def 			lowercase__  (    lowerCAmelCase :    Callable[[T], Any]       , lowerCAmelCase :    Dict[Any, Union[dict, list, tuple, T]]       , lowerCAmelCase :    Type[T]       )       ->					Dict[Any, Union[dict, list, tuple, Any]]:






    """simple docstring"""




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

    return new_dict




@overload
def 			lowercase__  (    lowerCAmelCase :    Callable[[T], Any]       , lowerCAmelCase :    T       , lowerCAmelCase :    Type[T]       )       ->					Any:






    """simple docstring"""




    ...




@overload
def 			lowercase__  (    lowerCAmelCase :    Callable[[T], Any]       , lowerCAmelCase :    dict       , lowerCAmelCase :    Type[T]       )       ->					dict:






    """simple docstring"""




    ...




@overload
def 			lowercase__  (    lowerCAmelCase :    Callable[[T], Any]       , lowerCAmelCase :    list       , lowerCAmelCase :    Type[T]       )       ->					list:






    """simple docstring"""




    ...




@overload
def 			lowercase__  (    lowerCAmelCase :    Callable[[T], Any]       , lowerCAmelCase :    tuple       , lowerCAmelCase :    Type[T]       )       ->					tuple:






    """simple docstring"""




    ...




def 			lowercase__  (    lowerCAmelCase :    str       , lowerCAmelCase :    Union[str, Any]       , lowerCAmelCase :    str       )       ->					Optional[int]:






    """simple docstring"""




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







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





"""simple docstring"""

class    _UpperCAmelCase							:




      def __init__(							self      ,				lowercase_=None							)  ->    Union[str, Any]:
          UpperCAmelCase  	=    data
          UpperCAmelCase  	=    None




      def __repr__(							self							)  ->    Tuple:
          UpperCAmelCase  	=    ''
          UpperCAmelCase  	=    self
          while temp:
              string_rep += F"<{temp.data}> ---> "
              UpperCAmelCase  	=    temp.next
          string_rep += "<END>"
          return string_rep




def 			lowercase__  (    lowerCAmelCase :    int       )       ->					List[Any]:






    """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(lowerCAmelCase       )
        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)



