


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,
)


UpperCAmelCase__        =				logging.getLogger(__name__)
logging.basicConfig(stream=sys.stdout, level=logging.INFO)


UpperCAmelCase__        =				namedtuple('''Batch''', ['''document_names''', '''batch_size''', '''src''', '''segs''', '''mask_src''', '''tgt_str'''])
def 							UpperCAmelCase_   (				__snake_case		)	->     Union[str, Any]:







 """simple docstring"""


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

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

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

  import nltk
  import rouge

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

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

 _lowercase				 =build_data_iterator(__snake_case	,		__snake_case		)
 _lowercase				 =build_predictor(__snake_case	,		__snake_case	,		__snake_case	,		__snake_case		)

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

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

 if args.compute_rouge:
  _lowercase				 =rouge_evaluator.get_scores(__snake_case	,		__snake_case		)
  _lowercase				 =format_rouge_scores(__snake_case		)
  save_rouge_scores(__snake_case		)
  print(__snake_case		)
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case	,		__snake_case		)	->     Tuple:







 """simple docstring"""


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

  _lowercase				 =os.path.join(__snake_case	,		__snake_case		)
  with open(__snake_case	,		'''w'''		) as output:
   output.write(__snake_case		)
def 							UpperCAmelCase_   (				__snake_case		)	->     Any:







 """simple docstring"""


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

 return summary
def 							UpperCAmelCase_   (				__snake_case		)	->     List[Any]:







 """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 							UpperCAmelCase_   (				__snake_case		)	->     Any:







 """simple docstring"""


 with open('''rouge_scores.txt'''	,		'''w'''		) as output:
  output.write(__snake_case		)
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case		)	->     Optional[int]:







 """simple docstring"""


 _lowercase				 =load_and_cache_examples(__snake_case	,		__snake_case		)
 _lowercase				 =SequentialSampler(__snake_case		)

 def collate_fn(__snake_case		):
  return collate(__snake_case	,		__snake_case	,		block_size=512	,		device=args.device		)

 _lowercase				 =DataLoader(
     __snake_case	,		sampler=__snake_case	,		batch_size=args.batch_size	,		collate_fn=__snake_case	,		)

 return iterator
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case		)	->     List[str]:







 """simple docstring"""


 _lowercase				 =CNNDMDataset(args.documents_dir		)
 return dataset
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case	,		__snake_case	,		__snake_case		)	->     Tuple:







 """simple docstring"""


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

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

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

 return batch
def 							UpperCAmelCase_   (				__snake_case	,		__snake_case		)	->     Optional[int]:







 """simple docstring"""


 _lowercase				 =summary_tokens.to('''cpu'''		).numpy()
 _lowercase				 =tokenizer.decode(__snake_case		)
 _lowercase				 =summary.split('''.'''		)
 _lowercase				 =[s + '''.''' for s in sentences]
 return sentences
def 							UpperCAmelCase_   (				)	->     int:







 """simple docstring"""


 _lowercase				 =argparse.ArgumentParser()
 parser.add_argument(
     '''--documents_dir'''	,		default=__snake_case	,		type=__snake_case	,		required=__snake_case	,		help='''The folder where the documents to summarize are located.'''	,		)
 parser.add_argument(
     '''--summaries_output_dir'''	,		default=__snake_case	,		type=__snake_case	,		required=__snake_case	,		help='''The folder in wich the summaries should be written. Defaults to the folder where the documents are'''	,		)
 parser.add_argument(
     '''--compute_rouge'''	,		default=__snake_case	,		type=__snake_case	,		required=__snake_case	,		help='''Compute the ROUGE metrics during evaluation. Only available for the CNN/DailyMail dataset.'''	,		)
 # EVALUATION options
 parser.add_argument(
     '''--no_cuda'''	,		default=__snake_case	,		type=__snake_case	,		help='''Whether to force the execution on CPU.'''	,		)
 parser.add_argument(
     '''--batch_size'''	,		default=4	,		type=__snake_case	,		help='''Batch size per GPU/CPU for training.'''	,		)
 # BEAM SEARCH arguments
 parser.add_argument(
     '''--min_length'''	,		default=50	,		type=__snake_case	,		help='''Minimum number of tokens for the summaries.'''	,		)
 parser.add_argument(
     '''--max_length'''	,		default=200	,		type=__snake_case	,		help='''Maixmum number of tokens for the summaries.'''	,		)
 parser.add_argument(
     '''--beam_size'''	,		default=5	,		type=__snake_case	,		help='''The number of beams to start with for each example.'''	,		)
 parser.add_argument(
     '''--alpha'''	,		default=0.95	,		type=__snake_case	,		help='''The value of alpha for the length penalty in the beam search.'''	,		)
 parser.add_argument(
     '''--block_trigram'''	,		default=__snake_case	,		type=__snake_case	,		help='''Whether to block the existence of repeating trigrams in the text generated by beam search.'''	,		)
 _lowercase				 =parser.parse_args()

 # Select device (distibuted not available)
 _lowercase				 =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:
  _lowercase				 =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=__snake_case		)

 evaluate(__snake_case		)
def 							UpperCAmelCase_   (				__snake_case		)	->     Union[str, Any]:







 """simple docstring"""


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

 _lowercase				 =os.listdir(__snake_case		)
 if len(__snake_case		) == 0:
  return False

 return True


if __name__ == "__main__":
  main()





from __future__ import annotations

import unittest
from collections.abc import Iterator







class  lowerCamelCase__  :





     def __init__(self						,	UpperCAmelCase						,	UpperCAmelCase			)	->  None:
      _lowercase				 =label
      _lowercase				 =parent
      _lowercase				 =None
      _lowercase				 =None







class  lowerCamelCase__  :





     def __init__(self			)	->  None:
      _lowercase				 =None





     def 	__A   (self			)	->  None:
      _lowercase				 =None





     def 	__A   (self			)	->  bool:
      return self.root is None





     def 	__A   (self						,	UpperCAmelCase			)	->  None:
      _lowercase				 =self._put(self.root						,	UpperCAmelCase			)





     def 	__A   (self						,	UpperCAmelCase						,	UpperCAmelCase						,	UpperCAmelCase = None			)	->  Node:
      if node is None:
       _lowercase				 =Node(UpperCAmelCase						,	UpperCAmelCase			)
      else:
       if label < node.label:
        _lowercase				 =self._put(node.left						,	UpperCAmelCase						,	UpperCAmelCase			)
       elif label > node.label:
        _lowercase				 =self._put(node.right						,	UpperCAmelCase						,	UpperCAmelCase			)
       else:
        _lowercase				 =f"Node with label {label} already exists"
        raise Exception(UpperCAmelCase			)

      return node





     def 	__A   (self						,	UpperCAmelCase			)	->  Node:
      return self._search(self.root						,	UpperCAmelCase			)





     def 	__A   (self						,	UpperCAmelCase						,	UpperCAmelCase			)	->  Node:
      if node is None:
       _lowercase				 =f"Node with label {label} does not exist"
       raise Exception(UpperCAmelCase			)
      else:
       if label < node.label:
        _lowercase				 =self._search(node.left						,	UpperCAmelCase			)
       elif label > node.label:
        _lowercase				 =self._search(node.right						,	UpperCAmelCase			)

      return node





     def 	__A   (self						,	UpperCAmelCase			)	->  None:
      _lowercase				 =self.search(UpperCAmelCase			)
      if node.right and node.left:
       _lowercase				 =self._get_lowest_node(node.right			)
       _lowercase				 =node.left
       _lowercase				 =node.right
       _lowercase				 =lowest_node
       if node.right:
        _lowercase				 =lowest_node
       self._reassign_nodes(UpperCAmelCase						,	UpperCAmelCase			)
      elif not node.right and node.left:
       self._reassign_nodes(UpperCAmelCase						,	node.left			)
      elif node.right and not node.left:
       self._reassign_nodes(UpperCAmelCase						,	node.right			)
      else:
       self._reassign_nodes(UpperCAmelCase						,	UpperCAmelCase			)





     def 	__A   (self						,	UpperCAmelCase						,	UpperCAmelCase			)	->  None:
      if new_children:
       _lowercase				 =node.parent

      if node.parent:
       if node.parent.right == node:
        _lowercase				 =new_children
       else:
        _lowercase				 =new_children
      else:
       _lowercase				 =new_children





     def 	__A   (self						,	UpperCAmelCase			)	->  Node:
      if node.left:
       _lowercase				 =self._get_lowest_node(node.left			)
      else:
       _lowercase				 =node
       self._reassign_nodes(UpperCAmelCase						,	node.right			)

      return lowest_node





     def 	__A   (self						,	UpperCAmelCase			)	->  bool:
      try:
       self.search(UpperCAmelCase			)
       return True
      except Exception:
       return False





     def 	__A   (self			)	->  int:
      if self.root is None:
       raise Exception('''Binary search tree is empty'''			)

      _lowercase				 =self.root
      while node.right is not None:
       _lowercase				 =node.right

      return node.label





     def 	__A   (self			)	->  int:
      if self.root is None:
       raise Exception('''Binary search tree is empty'''			)

      _lowercase				 =self.root
      while node.left is not None:
       _lowercase				 =node.left

      return node.label





     def 	__A   (self			)	->  Iterator[Node]:
      return self._inorder_traversal(self.root			)





     def 	__A   (self						,	UpperCAmelCase			)	->  Iterator[Node]:
      if node is not None:
       yield from self._inorder_traversal(node.left			)
       yield node
       yield from self._inorder_traversal(node.right			)





     def 	__A   (self			)	->  Iterator[Node]:
      return self._preorder_traversal(self.root			)





     def 	__A   (self						,	UpperCAmelCase			)	->  Iterator[Node]:
      if node is not None:
       yield node
       yield from self._preorder_traversal(node.left			)
       yield from self._preorder_traversal(node.right			)







class  lowerCamelCase__  (			unittest.TestCase):





     @staticmethod
     def 	__A   ()	->  BinarySearchTree:
      _lowercase				 =BinarySearchTree()
      t.put(8			)
      t.put(3			)
      t.put(6			)
      t.put(1			)
      t.put(1_0			)
      t.put(1_4			)
      t.put(1_3			)
      t.put(4			)
      t.put(7			)
      t.put(5			)

      return t





     def 	__A   (self			)	->  None:
      _lowercase				 =BinarySearchTree()
      assert t.is_empty()

      t.put(8			)
      assert t.root is not None
      assert t.root.parent is None
      assert t.root.label == 8

      t.put(1_0			)
      assert t.root.right is not None
      assert t.root.right.parent == t.root
      assert t.root.right.label == 1_0

      t.put(3			)
      assert t.root.left is not None
      assert t.root.left.parent == t.root
      assert t.root.left.label == 3

      t.put(6			)
      assert t.root.left.right is not None
      assert t.root.left.right.parent == t.root.left
      assert t.root.left.right.label == 6

      t.put(1			)
      assert t.root.left.left is not None
      assert t.root.left.left.parent == t.root.left
      assert t.root.left.left.label == 1

      with self.assertRaises(UpperCAmelCase			):  # noqa: B017
       t.put(1			)





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      _lowercase				 =t.search(6			)
      assert node.label == 6

      _lowercase				 =t.search(1_3			)
      assert node.label == 1_3

      with self.assertRaises(UpperCAmelCase			):  # noqa: B017
       t.search(2			)





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      t.remove(1_3			)
      assert t.root is not None
      assert t.root.right is not None
      assert t.root.right.right is not None
      assert t.root.right.right.right is None
      assert t.root.right.right.left is None

      t.remove(7			)
      assert t.root.left is not None
      assert t.root.left.right is not None
      assert t.root.left.right.left is not None
      assert t.root.left.right.right is None
      assert t.root.left.right.left.label == 4

      t.remove(6			)
      assert t.root.left.left is not None
      assert t.root.left.right.right is not None
      assert t.root.left.left.label == 1
      assert t.root.left.right.label == 4
      assert t.root.left.right.right.label == 5
      assert t.root.left.right.left is None
      assert t.root.left.left.parent == t.root.left
      assert t.root.left.right.parent == t.root.left

      t.remove(3			)
      assert t.root is not None
      assert t.root.left.label == 4
      assert t.root.left.right.label == 5
      assert t.root.left.left.label == 1
      assert t.root.left.parent == t.root
      assert t.root.left.left.parent == t.root.left
      assert t.root.left.right.parent == t.root.left

      t.remove(4			)
      assert t.root.left is not None
      assert t.root.left.left is not None
      assert t.root.left.label == 5
      assert t.root.left.right is None
      assert t.root.left.left.label == 1
      assert t.root.left.parent == t.root
      assert t.root.left.left.parent == t.root.left





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      t.remove(3			)
      assert t.root is not None
      assert t.root.left is not None
      assert t.root.left.left is not None
      assert t.root.left.right is not None
      assert t.root.left.right.left is not None
      assert t.root.left.right.right is not None
      assert t.root.left.label == 4
      assert t.root.left.right.label == 6
      assert t.root.left.left.label == 1
      assert t.root.left.right.right.label == 7
      assert t.root.left.right.left.label == 5
      assert t.root.left.parent == t.root
      assert t.root.left.right.parent == t.root.left
      assert t.root.left.left.parent == t.root.left
      assert t.root.left.right.left.parent == t.root.left.right





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()
      t.empty()
      assert t.root is None





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()
      assert not t.is_empty()

      t.empty()
      assert t.is_empty()





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      assert t.exists(6			)
      assert not t.exists(-1			)





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      assert t.get_max_label() == 1_4

      t.empty()
      with self.assertRaises(UpperCAmelCase			):  # noqa: B017
       t.get_max_label()





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      assert t.get_min_label() == 1

      t.empty()
      with self.assertRaises(UpperCAmelCase			):  # noqa: B017
       t.get_min_label()





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      _lowercase				 =[i.label for i in t.inorder_traversal()]
      assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 1_0, 1_3, 1_4]





     def 	__A   (self			)	->  None:
      _lowercase				 =self._get_binary_search_tree()

      _lowercase				 =[i.label for i in t.preorder_traversal()]
      assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 1_0, 1_4, 1_3]



def 							UpperCAmelCase_   (				)	->     None:







 """simple docstring"""


 _lowercase				 =BinarySearchTree()
 t.put(8		)
 t.put(3		)
 t.put(6		)
 t.put(1		)
 t.put(10		)
 t.put(14		)
 t.put(13		)
 t.put(4		)
 t.put(7		)
 t.put(5		)

 print(
     '''
            8
           / \\
          3   10
         / \\    \\
        1   6    14
           / \\   /
          4   7 13
           \\
            5
        '''		)

 print('''Label 6 exists:'''	,		t.exists(6		)		)
 print('''Label 13 exists:'''	,		t.exists(13		)		)
 print('''Label -1 exists:'''	,		t.exists(-1		)		)
 print('''Label 12 exists:'''	,		t.exists(12		)		)

 # Prints all the elements of the list in inorder traversal
 _lowercase				 =[i.label for i in t.inorder_traversal()]
 print('''Inorder traversal:'''	,		__snake_case		)

 # Prints all the elements of the list in preorder traversal
 _lowercase				 =[i.label for i in t.preorder_traversal()]
 print('''Preorder traversal:'''	,		__snake_case		)

 print('''Max. label:'''	,		t.get_max_label()		)
 print('''Min. label:'''	,		t.get_min_label()		)

 # Delete elements
 print('''\nDeleting elements 13, 10, 8, 3, 6, 14'''		)
 print(
     '''
          4
         / \\
        1   7
             \\
              5
        '''		)
 t.remove(13		)
 t.remove(10		)
 t.remove(8		)
 t.remove(3		)
 t.remove(6		)
 t.remove(14		)

 # Prints all the elements of the list in inorder traversal after delete
 _lowercase				 =[i.label for i in t.inorder_traversal()]
 print('''Inorder traversal after delete:'''	,		__snake_case		)

 # Prints all the elements of the list in preorder traversal after delete
 _lowercase				 =[i.label for i in t.preorder_traversal()]
 print('''Preorder traversal after delete:'''	,		__snake_case		)

 print('''Max. label:'''	,		t.get_max_label()		)
 print('''Min. label:'''	,		t.get_min_label()		)


if __name__ == "__main__":
  binary_search_tree_example()

