

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  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	torch.Tensor:



    """simple docstring"""






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

    return ma




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



    """simple docstring"""






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




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



    """simple docstring"""






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




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ = 1E-4 )->	torch.Tensor:



    """simple docstring"""






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




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ = 2.3125 ,	SCREAMING_SNAKE_CASE_ = 21.6875 ,	SCREAMING_SNAKE_CASE_ = 6_4 )->	torch.Tensor:



    """simple docstring"""






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




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	dict:



    """simple docstring"""






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

    return new_dict




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



    """simple docstring"""






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




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



    """simple docstring"""






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

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


SCREAMING_SNAKE_CASE		:Union[str, Any]				  =    TypeVar("""T""")




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	Dict[Any, Union[dict, list, tuple, Any]]:



    """simple docstring"""






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

    return new_dict




@overload
def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	Any:



    """simple docstring"""






    ...




@overload
def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	dict:



    """simple docstring"""






    ...




@overload
def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	list:



    """simple docstring"""






    ...




@overload
def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	tuple:



    """simple docstring"""






    ...




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	int:



    """simple docstring"""






    if isinstance(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ):
        return dict_map(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )
    elif isinstance(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ):
        return [tree_map(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ) for x in tree]
    elif isinstance(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ):
        return tuple(tree_map(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ) for x in tree )
    elif isinstance(SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ ):
        return fn(SCREAMING_SNAKE_CASE_ )
    else:
        print(type(SCREAMING_SNAKE_CASE_ ) )
        raise ValueError("Not supported" )
SCREAMING_SNAKE_CASE		:str				  =    partial(tree_map, leaf_type=torch.Tensor)



def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	float:



    """simple docstring"""






    return -num if num < 0 else num




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	int:



    """simple docstring"""






    if len(SCREAMING_SNAKE_CASE_ ) == 0:
        raise ValueError("abs_min() arg is an empty sequence" )
    UpperCamelCase_      =	x[0]
    for i in x:
        if abs_val(SCREAMING_SNAKE_CASE_ ) < abs_val(SCREAMING_SNAKE_CASE_ ):
            UpperCamelCase_      =	i
    return j




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	int:



    """simple docstring"""






    if len(SCREAMING_SNAKE_CASE_ ) == 0:
        raise ValueError("abs_max() arg is an empty sequence" )
    UpperCamelCase_      =	x[0]
    for i in x:
        if abs(SCREAMING_SNAKE_CASE_ ) > abs(SCREAMING_SNAKE_CASE_ ):
            UpperCamelCase_      =	i
    return j




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	int:



    """simple docstring"""






    if len(SCREAMING_SNAKE_CASE_ ) == 0:
        raise ValueError("abs_max_sort() arg is an empty sequence" )
    return sorted(SCREAMING_SNAKE_CASE_ ,	key=SCREAMING_SNAKE_CASE_ )[-1]




def  lowerCAmelCase(			)->	Any:



    """simple docstring"""






    assert abs_val(0 ) == 0
    assert abs_val(3_4 ) == 3_4
    assert abs_val(-1_0_0_0_0_0_0_0_0_0_0_0 ) == 1_0_0_0_0_0_0_0_0_0_0_0

    UpperCamelCase_      =	[-3, -1, 2, -1_1]
    assert abs_max(SCREAMING_SNAKE_CASE_ ) == -1_1
    assert abs_max_sort(SCREAMING_SNAKE_CASE_ ) == -1_1
    assert abs_min(SCREAMING_SNAKE_CASE_ ) == -1


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 test_abs_val()
 print(abs_val(-34))  # --> 34
