



import os
from collections import deque

import torch
from torch.utils.data import Dataset

class   _A   ( _lowercase	):


						'''simple docstring'''





						def __init__(	self	:							List[Any]							,      lowerCamelCase	:							Dict=""							,      lowerCamelCase	:							int="train"	):






							'''simple docstring'''



							assert os.path.isdir(lowerCamelCase	)

							__lowercase		       =			[]
							__lowercase		       =			os.listdir(lowerCamelCase	)
							for story_filename in story_filenames_list:
								if "summary" in story_filename:
									continue
								__lowercase		       =			os.path.join(lowerCamelCase							,      lowerCamelCase	)
								if not os.path.isfile(lowerCamelCase	):
									continue
								self.documents.append(lowerCamelCase	)



						def __len__(	self	:							Dict	):






							'''simple docstring'''



							return len(self.documents	)



						def __getitem__(	self	:							int							,      lowerCamelCase	:							Tuple	):






							'''simple docstring'''



							__lowercase		       =			self.documents[idx]
							__lowercase		       =			document_path.split("/"	)[-1]
							with open(lowerCamelCase							,      encoding="utf-8"	) as source:
								__lowercase		       =			source.read()
								__lowercase       ,    __lowercase		       =			process_story(lowerCamelCase	)
							return document_name, story_lines, summary_lines



def    snake_case_				(    _SCREAMING_SNAKE_CASE   ):
	__lowercase		       =			list(filter(lambda _SCREAMING_SNAKE_CASE   : len(_SCREAMING_SNAKE_CASE   ) != 0  ,	[line.strip() for line in raw_story.split("\n"   )]   )   )

	# for some unknown reason some lines miss a period, add it
	__lowercase		       =			[_add_missing_period(_SCREAMING_SNAKE_CASE   ) for line in nonempty_lines]

	# gather article lines
	__lowercase		       =			[]
	__lowercase		       =			deque(_SCREAMING_SNAKE_CASE   )
	while True:
		try:
			__lowercase		       =			lines.popleft()
			if element.startswith("@highlight"   ):
				break
			story_lines.append(_SCREAMING_SNAKE_CASE   )
		except IndexError:
			# if "@highlight" is absent from the file we pop
			# all elements until there is None, raising an exception.
			return story_lines, []

    # gather summary lines
	__lowercase		       =			list(filter(lambda _SCREAMING_SNAKE_CASE   : not t.startswith("@highlight"   )  ,	_SCREAMING_SNAKE_CASE   )   )

	return story_lines, summary_lines



def    snake_case_				(    _SCREAMING_SNAKE_CASE   ):
	__lowercase		       =			[".", "!", "?", "...", "'", "`", "\"", "\u2019", "\u2019", ")"]
	if line.startswith("@highlight"   ):
		return line
	if line[-1] in END_TOKENS:
		return line
	return line + "."



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ):
	if len(_SCREAMING_SNAKE_CASE   ) > block_size:
		return sequence[:block_size]
	else:
		sequence.extend([pad_token_id] * (block_size - len(_SCREAMING_SNAKE_CASE   ))   )
		return sequence



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ):
	__lowercase		       =			torch.ones_like(_SCREAMING_SNAKE_CASE   )
	__lowercase		       =			sequence == pad_token_id
	__lowercase		       =			0
	return mask



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ):
	__lowercase		       =			[tokenizer.encode(_SCREAMING_SNAKE_CASE   ) for line in story_lines]
	__lowercase		       =			[token for sentence in story_lines_token_ids for token in sentence]
	__lowercase		       =			[tokenizer.encode(_SCREAMING_SNAKE_CASE   ) for line in summary_lines]
	__lowercase		       =			[token for sentence in summary_lines_token_ids for token in sentence]

	return story_token_ids, summary_token_ids



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ):
	__lowercase		       =			[]
	for sequence in batch:
		__lowercase		       =			-1
		__lowercase		       =			[]
		for s in sequence:
			if s == separator_token_id:
				sentence_num += 1
			embeddings.append(sentence_num % 2   )
		batch_embeddings.append(_SCREAMING_SNAKE_CASE   )
	return torch.tensor(_SCREAMING_SNAKE_CASE   )








from __future__ import annotations

import bisect



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE = 0  ,	_SCREAMING_SNAKE_CASE = -1   ):
	if hi < 0:
		__lowercase		       =			len(_SCREAMING_SNAKE_CASE   )

	while lo < hi:
		__lowercase		       =			lo + (hi - lo) // 2
		if sorted_collection[mid] < item:
			__lowercase		       =			mid + 1
		else:
			__lowercase		       =			mid

	return lo



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE = 0  ,	_SCREAMING_SNAKE_CASE = -1   ):
	if hi < 0:
		__lowercase		       =			len(_SCREAMING_SNAKE_CASE   )

	while lo < hi:
		__lowercase		       =			lo + (hi - lo) // 2
		if sorted_collection[mid] <= item:
			__lowercase		       =			mid + 1
		else:
			__lowercase		       =			mid

	return lo



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE = 0  ,	_SCREAMING_SNAKE_CASE = -1   ):
	sorted_collection.insert(bisect_left(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   )  ,	_SCREAMING_SNAKE_CASE   )



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE = 0  ,	_SCREAMING_SNAKE_CASE = -1   ):
	sorted_collection.insert(bisect_right(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   )  ,	_SCREAMING_SNAKE_CASE   )



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ):
	__lowercase		       =			0
	__lowercase		       =			len(_SCREAMING_SNAKE_CASE   ) - 1

	while left <= right:
		__lowercase		       =			left + (right - left) // 2
		__lowercase		       =			sorted_collection[midpoint]
		if current_item == item:
			return midpoint
		elif item < current_item:
			__lowercase		       =			midpoint - 1
		else:
			__lowercase		       =			midpoint + 1
	return None



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ):
	__lowercase		       =			bisect.bisect_left(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   )
	if index != len(_SCREAMING_SNAKE_CASE   ) and sorted_collection[index] == item:
		return index
	return None



def    snake_case_				(    _SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ):
	if right < left:
		return None

	__lowercase		       =			left + (right - left) // 2

	if sorted_collection[midpoint] == item:
		return midpoint
	elif sorted_collection[midpoint] > item:
		return binary_search_by_recursion(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	midpoint - 1   )
	else:
		return binary_search_by_recursion(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	midpoint + 1  ,	_SCREAMING_SNAKE_CASE   )


if __name__ == "__main__":
	snake_case__					:     Optional[Any]    		=   input("""Enter numbers separated by comma:\n""").strip()
	snake_case__					:     Any    		=   sorted(int(item) for item in user_input.split(""","""))
	snake_case__					:     Any    		=   int(input("""Enter a single number to be found in the list:\n"""))
	snake_case__					:     List[Any]    		=   binary_search(collection, target)
	if result is None:
		print(F'''{target} was not found in {collection}.''')
	else:
		print(F'''{target} was found at position {result} in {collection}.''')



