





'''simple docstring'''
import argparse
import logging
import os
import sys
from collections import namedtuple

import torch
from modeling_bertabs import BertAbs, build_predictor
from torch.utils.data import DataLoader, SequentialSampler
from tqdm import tqdm

from transformers import BertTokenizer

from .utils_summarization import (
    CNNDMDataset,
    build_mask,
    compute_token_type_ids,
    encode_for_summarization,
    truncate_or_pad,
)


a__							:							str			=logging.getLogger(__name__)
logging.basicConfig(stream=sys.stdout, level=logging.INFO)


a__							:							Tuple			=namedtuple('''Batch''', ['''document_names''', '''batch_size''', '''src''', '''segs''', '''mask_src''', '''tgt_str'''])
def     lowercase__       (       __lowercase						:  List[str]					)			->				Optional[Any]:



       """simple docstring"""






       __UpperCamelCase	=  BertTokenizer.from_pretrained('bert-base-uncased'    ,  do_lower_case=__lowercase					)
       __UpperCamelCase	=  BertAbs.from_pretrained('remi/bertabs-finetuned-extractive-abstractive-summarization'					)
       model.to(args.device					)
       model.eval()

       __UpperCamelCase	=  {
           'BOS': tokenizer.vocab['[unused0]'],
           'EOS': tokenizer.vocab['[unused1]'],
           'PAD': tokenizer.vocab['[PAD]'],
       }

       if args.compute_rouge:
              __UpperCamelCase	=  []
              __UpperCamelCase	=  []

              import nltk
              import rouge

              nltk.download('punkt'					)
              __UpperCamelCase	=  rouge.Rouge(
                  metrics=['rouge-n', 'rouge-l']    ,  max_n=2    ,  limit_length=__lowercase    ,  length_limit=args.beam_size    ,  length_limit_type='words'    ,  apply_avg=__lowercase    ,  apply_best=__lowercase    ,  alpha=0.5    ,  weight_factor=1.2    ,  stemming=__lowercase    ,  )

       # these (unused) arguments are defined to keep the compatibility
       # with the legacy code and will be deleted in a next iteration.
       __UpperCamelCase	=  ''
       __UpperCamelCase	=  ''

       __UpperCamelCase	=  build_data_iterator(__lowercase    ,  __lowercase					)
       __UpperCamelCase	=  build_predictor(__lowercase    ,  __lowercase    ,  __lowercase    ,  __lowercase					)

       logger.info('***** Running evaluation *****'					)
       logger.info('  Number examples = %d'    ,  len(data_iterator.dataset					)					)
       logger.info('  Batch size = %d'    ,  args.batch_size					)
       logger.info(''					)
       logger.info('***** Beam Search parameters *****'					)
       logger.info('  Beam size = %d'    ,  args.beam_size					)
       logger.info('  Minimum length = %d'    ,  args.min_length					)
       logger.info('  Maximum length = %d'    ,  args.max_length					)
       logger.info('  Alpha (length penalty) = %.2f'    ,  args.alpha					)
       logger.info('  Trigrams %s be blocked'    ,  ('will' if args.block_trigram else 'will NOT')					)

       for batch in tqdm(__lowercase					):
              __UpperCamelCase	=  predictor.translate_batch(__lowercase					)
              __UpperCamelCase	=  predictor.from_batch(__lowercase					)
              __UpperCamelCase	=  [format_summary(__lowercase					) for t in translations]
              save_summaries(__lowercase    ,  args.summaries_output_dir    ,  batch.document_names					)

              if args.compute_rouge:
                     reference_summaries += batch.tgt_str
                     generated_summaries += summaries

       if args.compute_rouge:
              __UpperCamelCase	=  rouge_evaluator.get_scores(__lowercase    ,  __lowercase					)
              __UpperCamelCase	=  format_rouge_scores(__lowercase					)
              save_rouge_scores(__lowercase					)
              print(__lowercase					)
def     lowercase__       (       __lowercase						:  Dict    ,  __lowercase						:  List[str]    ,  __lowercase						:  str					)			->				Tuple:



       """simple docstring"""






       for summary, document_name in zip(__lowercase    ,  __lowercase					):
              # Prepare the summary file's name
              if "." in document_name:
                     __UpperCamelCase	=  '.'.join(document_name.split('.'					)[:-1]					)
                     __UpperCamelCase	=  document_name.split('.'					)[-1]
                     __UpperCamelCase	=  bare_document_name + '_summary.' + extension
              else:
                     __UpperCamelCase	=  document_name + '_summary'

              __UpperCamelCase	=  os.path.join(__lowercase    ,  __lowercase					)
              with open(__lowercase    ,  'w'					) as output:
                     output.write(__lowercase					)
def     lowercase__       (       __lowercase						:  int					)			->				Any:



       """simple docstring"""






       __UpperCamelCase	,						__UpperCamelCase	,						__UpperCamelCase	=  translation
       __UpperCamelCase	=  (
           raw_summary.replace('[unused0]'    ,  ''					)
           .replace('[unused3]'    ,  ''					)
           .replace('[PAD]'    ,  ''					)
           .replace('[unused1]'    ,  ''					)
           .replace(R' +'    ,  ' '					)
           .replace(' [unused2] '    ,  '. '					)
           .replace('[unused2]'    ,  ''					)
           .strip()
       )

       return summary
def     lowercase__       (       __lowercase						:  List[str]					)			->				Optional[int]:



       """simple docstring"""






       return """\n
****** ROUGE SCORES ******

** ROUGE 1
F1        >> {:.3f}
Precision >> {:.3f}
Recall    >> {:.3f}

** ROUGE 2
F1        >> {:.3f}
Precision >> {:.3f}
Recall    >> {:.3f}

** ROUGE L
F1        >> {:.3f}
Precision >> {:.3f}
Recall    >> {:.3f}""".format(
           scores['rouge-1']['f']    ,  scores['rouge-1']['p']    ,  scores['rouge-1']['r']    ,  scores['rouge-2']['f']    ,  scores['rouge-2']['p']    ,  scores['rouge-2']['r']    ,  scores['rouge-l']['f']    ,  scores['rouge-l']['p']    ,  scores['rouge-l']['r']    ,  )
def     lowercase__       (       __lowercase						:  Dict					)			->				str:



       """simple docstring"""






       with open('rouge_scores.txt'    ,  'w'					) as output:
              output.write(__lowercase					)
def     lowercase__       (       __lowercase						:  Optional[Any]    ,  __lowercase						:  List[str]					)			->				Tuple:



       """simple docstring"""






       __UpperCamelCase	=  load_and_cache_examples(__lowercase    ,  __lowercase					)
       __UpperCamelCase	=  SequentialSampler(__lowercase					)

       def collate_fn(__lowercase						:  Optional[Any]					):
              return collate(__lowercase    ,  __lowercase    ,  block_size=512    ,  device=args.device					)

       __UpperCamelCase	=  DataLoader(
           __lowercase    ,  sampler=__lowercase    ,  batch_size=args.batch_size    ,  collate_fn=__lowercase    ,  )

       return iterator
def     lowercase__       (       __lowercase						:  Union[str, Any]    ,  __lowercase						:  Any					)			->				Union[str, Any]:



       """simple docstring"""






       __UpperCamelCase	=  CNNDMDataset(args.documents_dir					)
       return dataset
def     lowercase__       (       __lowercase						:  List[Any]    ,  __lowercase						:  str    ,  __lowercase						:  Dict    ,  __lowercase						:  int					)			->				Tuple:



       """simple docstring"""






       __UpperCamelCase	=  [x for x in data if not len(x[1]					) == 0]  # remove empty_files
       __UpperCamelCase	=  [name for name, _, _ in data]
       __UpperCamelCase	=  [' '.join(__lowercase					) for _, _, summary_list in data]

       __UpperCamelCase	=  [encode_for_summarization(__lowercase    ,  __lowercase    ,  __lowercase					) for _, story, summary in data]
       __UpperCamelCase	=  torch.tensor(
           [truncate_or_pad(__lowercase    ,  __lowercase    ,  tokenizer.pad_token_id					) for story, _ in encoded_text]					)
       __UpperCamelCase	=  compute_token_type_ids(__lowercase    ,  tokenizer.cls_token_id					)
       __UpperCamelCase	=  build_mask(__lowercase    ,  tokenizer.pad_token_id					)

       __UpperCamelCase	=  Batch(
           document_names=__lowercase    ,  batch_size=len(__lowercase					)    ,  src=encoded_stories.to(__lowercase					)    ,  segs=encoder_token_type_ids.to(__lowercase					)    ,  mask_src=encoder_mask.to(__lowercase					)    ,  tgt_str=__lowercase    ,  )

       return batch
def     lowercase__       (       __lowercase						:  str    ,  __lowercase						:  Dict					)			->				List[str]:



       """simple docstring"""






       __UpperCamelCase	=  summary_tokens.to('cpu'					).numpy()
       __UpperCamelCase	=  tokenizer.decode(__lowercase					)
       __UpperCamelCase	=  summary.split('.'					)
       __UpperCamelCase	=  [s + '.' for s in sentences]
       return sentences
def     lowercase__       (       )			->				Tuple:



       """simple docstring"""






       __UpperCamelCase	=  argparse.ArgumentParser()
       parser.add_argument(
           '--documents_dir'    ,  default=__lowercase    ,  type=__lowercase    ,  required=__lowercase    ,  help='The folder where the documents to summarize are located.'    ,  )
       parser.add_argument(
           '--summaries_output_dir'    ,  default=__lowercase    ,  type=__lowercase    ,  required=__lowercase    ,  help='The folder in wich the summaries should be written. Defaults to the folder where the documents are'    ,  )
       parser.add_argument(
           '--compute_rouge'    ,  default=__lowercase    ,  type=__lowercase    ,  required=__lowercase    ,  help='Compute the ROUGE metrics during evaluation. Only available for the CNN/DailyMail dataset.'    ,  )
       # EVALUATION options
       parser.add_argument(
           '--no_cuda'    ,  default=__lowercase    ,  type=__lowercase    ,  help='Whether to force the execution on CPU.'    ,  )
       parser.add_argument(
           '--batch_size'    ,  default=4    ,  type=__lowercase    ,  help='Batch size per GPU/CPU for training.'    ,  )
       # BEAM SEARCH arguments
       parser.add_argument(
           '--min_length'    ,  default=50    ,  type=__lowercase    ,  help='Minimum number of tokens for the summaries.'    ,  )
       parser.add_argument(
           '--max_length'    ,  default=200    ,  type=__lowercase    ,  help='Maixmum number of tokens for the summaries.'    ,  )
       parser.add_argument(
           '--beam_size'    ,  default=5    ,  type=__lowercase    ,  help='The number of beams to start with for each example.'    ,  )
       parser.add_argument(
           '--alpha'    ,  default=0.9_5    ,  type=__lowercase    ,  help='The value of alpha for the length penalty in the beam search.'    ,  )
       parser.add_argument(
           '--block_trigram'    ,  default=__lowercase    ,  type=__lowercase    ,  help='Whether to block the existence of repeating trigrams in the text generated by beam search.'    ,  )
       __UpperCamelCase	=  parser.parse_args()

       # Select device (distibuted not available)
       __UpperCamelCase	=  torch.device('cuda' if torch.cuda.is_available() and not args.no_cuda else 'cpu'					)

       # Check the existence of directories
       if not args.summaries_output_dir:
              __UpperCamelCase	=  args.documents_dir

       if not documents_dir_is_valid(args.documents_dir					):
              raise FileNotFoundError(
                  'We could not find the directory you specified for the documents to summarize, or it was empty. Please'
                  ' specify a valid path.'					)
       os.makedirs(args.summaries_output_dir    ,  exist_ok=__lowercase					)

       evaluate(__lowercase					)
def     lowercase__       (       __lowercase						:  Union[str, Any]					)			->				List[str]:



       """simple docstring"""






       if not os.path.exists(__lowercase					):
              return False

       __UpperCamelCase	=  os.listdir(__lowercase					)
       if len(__lowercase					) == 0:
              return False

       return True


if __name__ == "__main__":
    main()







'''simple docstring'''
import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


a__							:							Optional[int]			=threading.Lock()
a__							:							Optional[logging.Handler]			=None

a__							:							Optional[Any]			={
    '''debug''': logging.DEBUG,
    '''info''': logging.INFO,
    '''warning''': logging.WARNING,
    '''error''': logging.ERROR,
    '''critical''': logging.CRITICAL,
}

a__							:							List[Any]			=logging.WARNING

a__							:							str			=True
def     lowercase__       (       )			->				int:



       """simple docstring"""






       __UpperCamelCase	=  os.getenv('DIFFUSERS_VERBOSITY'    ,  __lowercase					)
       if env_level_str:
              if env_level_str in log_levels:
                     return log_levels[env_level_str]
              else:
                     logging.getLogger().warning(
                         F'''Unknown option DIFFUSERS_VERBOSITY={env_level_str}, '''
                         F'''has to be one of: { ', '.join(log_levels.keys()					) }'''					)
       return _default_log_level
def     lowercase__       (       )			->				str:



       """simple docstring"""






       return __name__.split('.'					)[0]
def     lowercase__       (       )			->				logging.Logger:



       """simple docstring"""






       return logging.getLogger(_get_library_name()					)
def     lowercase__       (       )			->				None:



       """simple docstring"""






       global _default_handler

       with _lock:
              if _default_handler:
                     # This library has already configured the library root logger.
                     return
              __UpperCamelCase	=  logging.StreamHandler()  # Set sys.stderr as stream.
              __UpperCamelCase	=  sys.stderr.flush

              # Apply our default configuration to the library root logger.
              __UpperCamelCase	=  _get_library_root_logger()
              library_root_logger.addHandler(_default_handler					)
              library_root_logger.setLevel(_get_default_logging_level()					)
              __UpperCamelCase	=  False
def     lowercase__       (       )			->				None:



       """simple docstring"""






       global _default_handler

       with _lock:
              if not _default_handler:
                     return

              __UpperCamelCase	=  _get_library_root_logger()
              library_root_logger.removeHandler(_default_handler					)
              library_root_logger.setLevel(logging.NOTSET					)
              __UpperCamelCase	=  None
def     lowercase__       (       )			->				str:



       """simple docstring"""






       return log_levels
def     lowercase__       (       __lowercase						:  Optional[str] = None					)			->				logging.Logger:



       """simple docstring"""






       if name is None:
              __UpperCamelCase	=  _get_library_name()

       _configure_library_root_logger()
       return logging.getLogger(__lowercase					)
def     lowercase__       (       )			->				int:



       """simple docstring"""






       _configure_library_root_logger()
       return _get_library_root_logger().getEffectiveLevel()
def     lowercase__       (       __lowercase						:  int					)			->				None:



       """simple docstring"""






       _configure_library_root_logger()
       _get_library_root_logger().setLevel(__lowercase					)
def     lowercase__       (       )			->				Tuple:



       """simple docstring"""






       return set_verbosity(__lowercase					)
def     lowercase__       (       )			->				Union[str, Any]:



       """simple docstring"""






       return set_verbosity(__lowercase					)
def     lowercase__       (       )			->				Any:



       """simple docstring"""






       return set_verbosity(__lowercase					)
def     lowercase__       (       )			->				int:



       """simple docstring"""






       return set_verbosity(__lowercase					)
def     lowercase__       (       )			->				None:



       """simple docstring"""






       _configure_library_root_logger()

       assert _default_handler is not None
       _get_library_root_logger().removeHandler(_default_handler					)
def     lowercase__       (       )			->				None:



       """simple docstring"""






       _configure_library_root_logger()

       assert _default_handler is not None
       _get_library_root_logger().addHandler(_default_handler					)
def     lowercase__       (       __lowercase						:  logging.Handler					)			->				None:



       """simple docstring"""






       _configure_library_root_logger()

       assert handler is not None
       _get_library_root_logger().addHandler(__lowercase					)
def     lowercase__       (       __lowercase						:  logging.Handler					)			->				None:



       """simple docstring"""






       _configure_library_root_logger()

       assert handler is not None and handler not in _get_library_root_logger().handlers
       _get_library_root_logger().removeHandler(__lowercase					)
def     lowercase__       (       )			->				None:



       """simple docstring"""






       _configure_library_root_logger()
       __UpperCamelCase	=  False
def     lowercase__       (       )			->				None:



       """simple docstring"""






       _configure_library_root_logger()
       __UpperCamelCase	=  True
def     lowercase__       (       )			->				None:



       """simple docstring"""






       __UpperCamelCase	=  _get_library_root_logger().handlers

       for handler in handlers:
              __UpperCamelCase	=  logging.Formatter('[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s'					)
              handler.setFormatter(__lowercase					)
def     lowercase__       (       )			->				None:



       """simple docstring"""






       __UpperCamelCase	=  _get_library_root_logger().handlers

       for handler in handlers:
              handler.setFormatter(__lowercase					)
def     lowercase__       (       self						:  int    ,  *__lowercase						:  List[str]    ,  **__lowercase						:  List[Any]					)			->				Any:



       """simple docstring"""






       __UpperCamelCase	=  os.getenv('DIFFUSERS_NO_ADVISORY_WARNINGS'    ,  __lowercase					)
       if no_advisory_warnings:
              return
       self.warning(*__lowercase    ,  **__lowercase					)


a__							:							Dict			=warning_advice

class 					snake_case					:




 """simple docstring"""



 def __init__(	self	:							Optional[int]							,     *__A	:							int							,     **__A	:							Dict     ):  # pylint: disable=unused-argument
        __UpperCamelCase	=  args[0] if args else None






 def __iter__(	self	:							str     ):
        return iter(self._iterator     )






 def __getattr__(	self	:							Tuple							,     __A	:							Any     ):

        def empty_fn(*__A	:							Any							,     **__A	:							List[str]     ):  # pylint: disable=unused-argument
               return

        return empty_fn






 def __enter__(	self	:							str     ):
        return self






 def __exit__(	self	:							Optional[Any]							,     __A	:							Dict							,     __A	:							str							,     __A	:							Dict     ):
        return






class 					snake_case					:




 """simple docstring"""



 def __call__(	self	:							Union[str, Any]							,     *__A	:							Union[str, Any]							,     **__A	:							Dict     ):
        if _tqdm_active:
               return tqdm_lib.tqdm(*__A							,     **__A     )
        else:
               return EmptyTqdm(*__A							,     **__A     )






 def 	_lowerCamelCase (	self	:							Any							,     *__A	:							str							,     **__A	:							Optional[int]     ):
        __UpperCamelCase	=  None
        if _tqdm_active:
               return tqdm_lib.tqdm.set_lock(*__A							,     **__A     )






 def 	_lowerCamelCase (	self	:							Optional[int]     ):
        if _tqdm_active:
               return tqdm_lib.tqdm.get_lock()






a__							:							List[Any]			=_tqdm_cls()
def     lowercase__       (       )			->				bool:



       """simple docstring"""






       global _tqdm_active
       return bool(_tqdm_active					)
def     lowercase__       (       )			->				List[str]:



       """simple docstring"""






       global _tqdm_active
       __UpperCamelCase	=  True


def     lowercase__       (       )			->				str:



       """simple docstring"""






       global _tqdm_active
       __UpperCamelCase	=  False
