




"""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"""







import os
from string import ascii_letters

SCREAMING_SNAKE_CASE_      =					ascii_letters + ' \t\n'





def     __snake_case   (							):


    """simple docstring"""







    UpperCamelCase										=  os.path.split(os.path.realpath(_lowercase						)						)
    UpperCamelCase										=  {}
    with open(path[0] + '''/dictionary.txt'''						) as dictionary_file:
        for word in dictionary_file.read().split('''\n'''						):
            UpperCamelCase										=  None
    return english_words


SCREAMING_SNAKE_CASE_      =					load_dictionary()





def     __snake_case   (							_lowercase						):


    """simple docstring"""







    UpperCamelCase										=  message.upper()
    UpperCamelCase										=  remove_non_letters(_lowercase						)
    UpperCamelCase										=  message.split()
    UpperCamelCase										=  len([word for word in possible_words if word in ENGLISH_WORDS]						)
    return float(_lowercase						) / len(_lowercase						)





def     __snake_case   (							_lowercase						):


    """simple docstring"""







    return "".join(symbol for symbol in message if symbol in LETTERS_AND_SPACE						)





def     __snake_case   (							_lowercase ,_lowercase = 20 ,_lowercase = 85						):


    """simple docstring"""







    UpperCamelCase										=  get_english_count(_lowercase						) * 100 >= word_percentage
    UpperCamelCase										=  len(remove_non_letters(_lowercase						)						)
    UpperCamelCase										=  (float(_lowercase						) / len(_lowercase						)) * 100
    UpperCamelCase										=  message_letters_percentage >= letter_percentage
    return words_match and letters_match


if __name__ == "__main__":
  import doctest

  doctest.testmod()