"""simple docstring"""





import torch

from transformers import AutoModel


class      UpperCAmelCase_	(    torch.nn.Module):


      def __init__(   self		,			a="sayef/fsner-bert-base-uncased"							)       ->					Tuple:
             super(a		,			self							).__init__()

             lowercase__			:		str       =	AutoModel.from_pretrained(a		,			return_dict=a							)
             lowercase__			:		Any       =	torch.nn.CosineSimilarity(3		,			1e-08							)
             lowercase__			:		Union[str, Any]       =	torch.nn.Softmax(dim=1							)


      def 		_UpperCAmelCase       (   self		,			**a							)       ->					List[str]:
             return self.bert(**a							).last_hidden_state


      def 		_UpperCAmelCase       (   self		,			a							)       ->					Optional[Any]:
             return token_embeddings.sum(2		,			keepdim=a							)


      def 		_UpperCAmelCase       (   self		,			a		,			a		,			a=1							)       ->					str:
             return self.softmax(T * self.cos(a		,			a							)							)


      def 		_UpperCAmelCase       (   self		,			a		,			a							)       ->					str:
             lowercase__			:		Union[str, Any]       =	W_supports['sizes'].tolist()
             lowercase__			:		str       =	W_supports['start_token_id'].item()
             lowercase__			:		str       =	W_supports['end_token_id'].item()

             del W_supports["sizes"]
             del W_supports["start_token_id"]
             del W_supports["end_token_id"]

             lowercase__			:		Any       =	self.BERT(**a							)
             lowercase__			:		Any       =	self.BERT(**a							)

             lowercase__			:		Tuple       =	None
             lowercase__			:		Dict       =	None

             lowercase__			:		str       =	W_supports['input_ids'] == start_token_id
             lowercase__			:		List[str]       =	W_supports['input_ids'] == end_token_id

             for i, size in enumerate(a							):
                    if i == 0:
                           lowercase__			:		int       =	0
                    else:
                           lowercase__			:		Dict       =	support_sizes[i - 1]

                    lowercase__			:		Dict       =	S[s : s + size][start_token_masks[s : s + size]]
                    lowercase__			:		int       =	S[s : s + size][end_token_masks[s : s + size]]

                    lowercase__			:		Any       =	torch.matmul(q[i]		,			s_start.T							).sum(1							).softmax(0							)
                    lowercase__			:		int       =	torch.matmul(q[i]		,			s_end.T							).sum(1							).softmax(0							)

                    if p_starts is not None:
                           lowercase__			:		Tuple       =	torch.vstack((p_starts, p_start)							)
                           lowercase__			:		Tuple       =	torch.vstack((p_ends, p_end)							)
                    else:
                           lowercase__			:		Optional[int]       =	p_start
                           lowercase__			:		Optional[int]       =	p_end

             return p_starts, p_ends




"""simple docstring"""





import os
from collections.abc import Iterator

def   __SCREAMING_SNAKE_CASE  (      A_ = "." ):
	for dir_path, dir_names, filenames in os.walk(A_ ):
		lowerCAmelCase__	:						str  				=	[d for d in dir_names if d != '''scripts''' and d[0] not in '''._''']
		for filename in filenames:
			if filename == "__init__.py":
				continue
			if os.path.splitext(A_ )[1] in (".py", ".ipynb"):
				yield os.path.join(A_						,     A_ ).lstrip('''./''' )

def   __SCREAMING_SNAKE_CASE  (      A_ ):
	return f'{i * "  "}*' if i else "\n##"

def   __SCREAMING_SNAKE_CASE  (      A_						,     A_ ):
	lowerCAmelCase__	:						Optional[Any]  				=	old_path.split(os.sep )
	for i, new_part in enumerate(new_path.split(os.sep ) ):
		if (i + 1 > len(A_ ) or old_parts[i] != new_part) and new_part:
			print(f'{md_prefix(A_ )} {new_part.replace("_"						,     " " ).title()}' )
	return new_path

def   __SCREAMING_SNAKE_CASE  (      A_ = "." ):
	lowerCAmelCase__	:						Any  				=	''''''
	for filepath in sorted(good_file_paths(A_ ) ):
		lowerCAmelCase__				,lowerCAmelCase__	:						str  				=	os.path.split(A_ )
		if filepath != old_path:
			lowerCAmelCase__	:						str  				=	print_path(A_						,     A_ )
		lowerCAmelCase__	:						str  				=	(filepath.count(os.sep ) + 1) if filepath else 0
		lowerCAmelCase__	:						Union[str, Any]  				=	f'{filepath}/{filename}'.replace(''' '''						,     '''%20''' )
		lowerCAmelCase__	:						List[str]  				=	os.path.splitext(filename.replace('''_'''						,     ''' ''' ).title() )[0]
		print(f'{md_prefix(A_ )} [{filename}]({url})' )


if __name__ == "__main__":
							print_directory_md('''.''')




