




'''simple docstring'''



import os
from collections import deque

import torch
from torch.utils.data import Dataset






class 							_a				(			SCREAMING_SNAKE_CASE ):





       '''simple docstring'''






       def __init__(      self,							A="",							A="train"  ):







             '''simple docstring'''







             assert os.path.isdir(A  )

             SCREAMING_SNAKE_CASE   :      Optional[int]    					=						[]
             SCREAMING_SNAKE_CASE   :      str    					=						os.listdir(A  )
             for story_filename in story_filenames_list:
                   if "summary" in story_filename:
                         continue
                   SCREAMING_SNAKE_CASE   :      Tuple    					=						os.path.join(A,							A  )
                   if not os.path.isfile(A  ):
                         continue
                   self.documents.append(A  )







       def __len__(      self  ):







             '''simple docstring'''







             return len(self.documents  )







       def __getitem__(      self,							A  ):







             '''simple docstring'''







             SCREAMING_SNAKE_CASE   :      Dict    					=						self.documents[idx]
             SCREAMING_SNAKE_CASE   :      List[str]    					=						document_path.split('/'  )[-1]
             with open(A,							encoding='utf-8'  ) as source:
                   SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						source.read()
                   SCREAMING_SNAKE_CASE					,    SCREAMING_SNAKE_CASE   :      int    					=						process_story(A  )
             return document_name, story_lines, summary_lines




def   lowercase__(			__UpperCamelCase:					Optional[Any]    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Any    					=						list(filter(lambda __UpperCamelCase    : len(__UpperCamelCase    ) != 0      ,[line.strip() for line in raw_story.split('\n'    )]    )    )

      # for some unknown reason some lines miss a period, add it
      SCREAMING_SNAKE_CASE   :      List[str]    					=						[_add_missing_period(__UpperCamelCase    ) for line in nonempty_lines]

      # gather article lines
      SCREAMING_SNAKE_CASE   :      Tuple    					=						[]
      SCREAMING_SNAKE_CASE   :      int    					=						deque(__UpperCamelCase    )
      while True:
            try:
                  SCREAMING_SNAKE_CASE   :      Optional[Any]    					=						lines.popleft()
                  if element.startswith('@highlight'    ):
                        break
                  story_lines.append(__UpperCamelCase    )
            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
      SCREAMING_SNAKE_CASE   :      int    					=						list(filter(lambda __UpperCamelCase    : not t.startswith('@highlight'    )      ,__UpperCamelCase    )    )

      return story_lines, summary_lines




def   lowercase__(			__UpperCamelCase:					Dict    ):

      """simple docstring"""






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




def   lowercase__(			__UpperCamelCase:					List[Any]      ,__UpperCamelCase:					Any      ,__UpperCamelCase:					Optional[Any]    ):

      """simple docstring"""






      if len(__UpperCamelCase    ) > block_size:
            return sequence[:block_size]
      else:
            sequence.extend([pad_token_id] * (block_size - len(__UpperCamelCase    ))    )
            return sequence




def   lowercase__(			__UpperCamelCase:					Optional[int]      ,__UpperCamelCase:					Dict    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      List[Any]    					=						torch.ones_like(__UpperCamelCase    )
      SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						sequence == pad_token_id
      SCREAMING_SNAKE_CASE   :      List[Any]    					=						0
      return mask




def   lowercase__(			__UpperCamelCase:					str      ,__UpperCamelCase:					Any      ,__UpperCamelCase:					Union[str, Any]    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Dict    					=						[tokenizer.encode(__UpperCamelCase    ) for line in story_lines]
      SCREAMING_SNAKE_CASE   :      Optional[int]    					=						[token for sentence in story_lines_token_ids for token in sentence]
      SCREAMING_SNAKE_CASE   :      str    					=						[tokenizer.encode(__UpperCamelCase    ) for line in summary_lines]
      SCREAMING_SNAKE_CASE   :      Dict    					=						[token for sentence in summary_lines_token_ids for token in sentence]

      return story_token_ids, summary_token_ids





def   lowercase__(			__UpperCamelCase:					str      ,__UpperCamelCase:					Union[str, Any]    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Union[str, Any]    					=						[]
      for sequence in batch:
            SCREAMING_SNAKE_CASE   :      Dict    					=						-1
            SCREAMING_SNAKE_CASE   :      List[Any]    					=						[]
            for s in sequence:
                  if s == separator_token_id:
                        sentence_num += 1
                  embeddings.append(sentence_num % 2    )
            batch_embeddings.append(__UpperCamelCase    )
      return torch.tensor(__UpperCamelCase    )






# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse

from .config import config_command_parser
from .config_args import default_config_file, load_config_from_file  # noqa: F401
from .default import default_command_parser
from .update import update_command_parser






def 	__lowerCamelCase						(							lowerCamelCase__		:						Any=None      ):





			'''simple docstring'''




			lowerCamelCase    		=  argparse.ArgumentParser(add_help=lowerCamelCase__  ,							allow_abbrev=lowerCamelCase__      )
			# The main config parser
			lowerCamelCase    		=  config_command_parser(lowerCamelCase__      )
			# The subparser to add commands to
			lowerCamelCase    		=  config_parser.add_subparsers(title="""subcommands"""  ,							dest="""subcommand"""      )

			# Then add other parsers with the parent parser
			default_command_parser(lowerCamelCase__  ,							parents=[parent_parser]      )
			update_command_parser(lowerCamelCase__  ,							parents=[parent_parser]      )

			return config_parser






def 	__lowerCamelCase						(							):





			'''simple docstring'''




			lowerCamelCase    		=  get_config_parser()
			lowerCamelCase    		=  config_parser.parse_args()

			if not hasattr(lowerCamelCase__  ,							"""func"""      ):
						config_parser.print_help()
						exit(1      )

			# Run
			args.func(lowerCamelCase__      )


if __name__ == "__main__":
		main()

