


import os
from collections import deque

import torch
from torch.utils.data import Dataset







class lowerCAmelCase_						(			lowerCamelCase__	):

	'''simple docstring'''

	def __init__(     self		,				_UpperCAmelCase=""		,				_UpperCAmelCase="train" ):
							assert os.path.isdir(_UpperCAmelCase )

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



	def __len__(     self ):
							return len(self.documents )





	def __getitem__(     self		,				_UpperCAmelCase ):
							snake_case_	=				self.documents[idx]
							snake_case_	=				document_path.split('''/''' )[-1]
							with open(_UpperCAmelCase		,				encoding='''utf-8''' ) as source:
													snake_case_	=				source.read()
													snake_case_	,   snake_case_	=				process_story(_UpperCAmelCase )
							return document_name, story_lines, summary_lines






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Optional[int]:




						"""simple docstring"""

						snake_case_	=				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
						snake_case_	=				[_add_missing_period(SCREAMING_SNAKE_CASE ) for line in nonempty_lines]

						# gather article lines
						snake_case_	=				[]
						snake_case_	=				deque(SCREAMING_SNAKE_CASE )
						while True:
												try:
																		snake_case_	=				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
						snake_case_	=				list(filter(lambda SCREAMING_SNAKE_CASE : not t.startswith('''@highlight''' ) , SCREAMING_SNAKE_CASE ) )

						return story_lines, summary_lines






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  List[str]:




						"""simple docstring"""

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






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE )->  List[str]:




						"""simple docstring"""

						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 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE )->  str:




						"""simple docstring"""

						snake_case_	=				torch.ones_like(SCREAMING_SNAKE_CASE )
						snake_case_	=				sequence == pad_token_id
						snake_case_	=				0
						return mask






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE )->  List[str]:




						"""simple docstring"""

						snake_case_	=				[tokenizer.encode(SCREAMING_SNAKE_CASE ) for line in story_lines]
						snake_case_	=				[token for sentence in story_lines_token_ids for token in sentence]
						snake_case_	=				[tokenizer.encode(SCREAMING_SNAKE_CASE ) for line in summary_lines]
						snake_case_	=				[token for sentence in summary_lines_token_ids for token in sentence]

						return story_token_ids, summary_token_ids






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE , SCREAMING_SNAKE_CASE )->  Optional[int]:




						"""simple docstring"""

						snake_case_	=				[]
						for sequence in batch:
												snake_case_	=				-1
												snake_case_	=				[]
												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 )



# Function to print upper half of diamond (pyramid)






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Dict:




      """simple docstring"""

      for i in range(0 , SCREAMING_SNAKE_CASE ):
            for _ in range(0 , n - i - 1 ):  # printing spaces
                  print(''' ''' , end='''''' )
            for _ in range(0 , i + 1 ):  # printing stars
                  print('''* ''' , end='''''' )
            print()






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Dict:




      """simple docstring"""

      for i in range(SCREAMING_SNAKE_CASE , 0 , -1 ):
            for _ in range(SCREAMING_SNAKE_CASE , 0 , -1 ):  # printing stars
                  print('''* ''' , end='''''' )
            print()
            for _ in range(n - i + 1 , 0 , -1 ):  # printing spaces
                  print(''' ''' , end='''''' )






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Any:




      """simple docstring"""

      if n <= 0:
            print('''       ...       ....        nothing printing :(''' )
            return
      floyd(SCREAMING_SNAKE_CASE )  # upper half
      reverse_floyd(SCREAMING_SNAKE_CASE )  # lower half


if __name__ == "__main__":
   print(r"""| /\ | |- |  |-  |--| |\  /| |-""")
   print(r"""|/  \| |- |_ |_  |__| | \/ | |_""")
   UpperCAmelCase      =   1
   while K:
      UpperCAmelCase      =   int(input("""enter the number and , and see the magic : """))
      print()
      pretty_print(user_number)
      UpperCAmelCase      =   int(input("""press 0 to exit... and 1 to continue..."""))

   print("""Good Bye...""")