






import itertools
import json
import linecache
import os
import pickle
import re
import socket
import string
from collections import Counter
from logging import getLogger
from pathlib import Path
from typing import Callable, Dict, Iterable, List

import git
import torch
from torch.utils.data import Dataset

from transformers import BartTokenizer, RagTokenizer, TaTokenizer






def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase    ,      __lowercase    ,      __lowercase=True    ,      __lowercase="pt"):
   UpperCamelCase_									=     {'add_prefix_space': True} if isinstance(__lowercase    ,      __lowercase) and not line.startswith(' ') else {}
   UpperCamelCase_									=     padding_side
   return tokenizer(
       [line]    ,      max_length=__lowercase    ,      padding='max_length' if pad_to_max_length else None    ,      truncation=__lowercase    ,      return_tensors=__lowercase    ,      add_special_tokens=__lowercase    ,      **__lowercase    ,      )






def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase=None    ,      ):
   UpperCamelCase_									=     input_ids.ne(__lowercase).any(dim=0)
   if attention_mask is None:
      return input_ids[:, keep_column_mask]
   else:
      return (input_ids[:, keep_column_mask], attention_mask[:, keep_column_mask])


class 						_a       (  UpperCAmelCase__    ):






  """simple docstring"""





  def __init__(     self		,		_UpperCAmelCase		,		_UpperCAmelCase		,		_UpperCAmelCase		,		_UpperCAmelCase		,		_UpperCAmelCase="train"		,		_UpperCAmelCase=None		,		_UpperCAmelCase=None		,		_UpperCAmelCase=None		,		_UpperCAmelCase=""		,		)			-> List[Any]:
     super().__init__()
     UpperCamelCase_									=     Path(_UpperCAmelCase ).joinpath(type_path + '.source' )
     UpperCamelCase_									=     Path(_UpperCAmelCase ).joinpath(type_path + '.target' )
     UpperCamelCase_									=     self.get_char_lens(self.src_file )
     UpperCamelCase_									=     max_source_length
     UpperCamelCase_									=     max_target_length
     assert min(self.src_lens ) > 0, f"""found empty line in {self.src_file}"""
     UpperCamelCase_									=     tokenizer
     UpperCamelCase_									=     prefix
     if n_obs is not None:
        UpperCamelCase_									=     self.src_lens[:n_obs]
     UpperCamelCase_									=     src_lang
     UpperCamelCase_									=     tgt_lang




  def __len__(     self )			-> Optional[int]:
     return len(self.src_lens )




  def __getitem__(     self		,		_UpperCAmelCase )			-> Dict[str, torch.Tensor]:
     UpperCamelCase_									=     index + 1  # linecache starts at 1
     UpperCamelCase_									=     self.prefix + linecache.getline(str(self.src_file )		,		_UpperCAmelCase ).rstrip('\n' )
     UpperCamelCase_									=     linecache.getline(str(self.tgt_file )		,		_UpperCAmelCase ).rstrip('\n' )
     assert source_line, f"""empty source line for index {index}"""
     assert tgt_line, f"""empty tgt line for index {index}"""

     # Need to add eos token manually for T5
     if isinstance(self.tokenizer		,		_UpperCAmelCase ):
        source_line += self.tokenizer.eos_token
        tgt_line += self.tokenizer.eos_token

     # Pad source and target to the right
     UpperCamelCase_									=     (
         self.tokenizer.question_encoder if isinstance(self.tokenizer		,		_UpperCAmelCase ) else self.tokenizer
     )
     UpperCamelCase_									=     self.tokenizer.generator if isinstance(self.tokenizer		,		_UpperCAmelCase ) else self.tokenizer

     UpperCamelCase_									=     encode_line(_UpperCAmelCase		,		_UpperCAmelCase		,		self.max_source_length		,		'right' )
     UpperCamelCase_									=     encode_line(_UpperCAmelCase		,		_UpperCAmelCase		,		self.max_target_length		,		'right' )

     UpperCamelCase_									=     source_inputs['input_ids'].squeeze()
     UpperCamelCase_									=     target_inputs['input_ids'].squeeze()
     UpperCamelCase_									=     source_inputs['attention_mask'].squeeze()
     return {
         "input_ids": source_ids,
         "attention_mask": src_mask,
         "decoder_input_ids": target_ids,
     }




  @staticmethod
  def    _UpperCAmelCase     (     _UpperCAmelCase )			-> Dict:
     return [len(_UpperCAmelCase ) for x in Path(_UpperCAmelCase ).open().readlines()]




  def    _UpperCAmelCase     (     self		,		_UpperCAmelCase )			-> Dict[str, torch.Tensor]:
     UpperCamelCase_									=     torch.stack([x['input_ids'] for x in batch] )
     UpperCamelCase_									=     torch.stack([x['attention_mask'] for x in batch] )
     UpperCamelCase_									=     torch.stack([x['decoder_input_ids'] for x in batch] )
     UpperCamelCase_									=     (
         self.tokenizer.generator.pad_token_id
         if isinstance(self.tokenizer		,		_UpperCAmelCase )
         else self.tokenizer.pad_token_id
     )
     UpperCamelCase_									=     (
         self.tokenizer.question_encoder.pad_token_id
         if isinstance(self.tokenizer		,		_UpperCAmelCase )
         else self.tokenizer.pad_token_id
     )
     UpperCamelCase_									=     trim_batch(_UpperCAmelCase		,		_UpperCAmelCase )
     UpperCamelCase_		,      UpperCamelCase_									=     trim_batch(_UpperCAmelCase		,		_UpperCAmelCase		,		attention_mask=_UpperCAmelCase )
     UpperCamelCase_									=     {
         'input_ids': source_ids,
         'attention_mask': source_mask,
         'decoder_input_ids': y,
     }
     return batch




snake_case__      :	str       	=      getLogger(__name__)






def     _snake_case    (__lowercase):
   return list(itertools.chain.from_iterable(__lowercase))






def     _snake_case    (__lowercase):
   UpperCamelCase_									=     get_git_info()
   save_json(__lowercase    ,      os.path.join(__lowercase    ,      'git_log.json'))






def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase=4    ,      **__lowercase):
   with open(__lowercase    ,      'w') as f:
      json.dump(__lowercase    ,      __lowercase    ,      indent=__lowercase    ,      **__lowercase)






def     _snake_case    (__lowercase):
   with open(__lowercase) as f:
      return json.load(__lowercase)






def     _snake_case    ():
   UpperCamelCase_									=     git.Repo(search_parent_directories=__lowercase)
   UpperCamelCase_									=     {
       'repo_id': str(__lowercase),
       'repo_sha': str(repo.head.object.hexsha),
       'repo_branch': str(repo.active_branch),
       'hostname': str(socket.gethostname()),
   }
   return repo_infos






def     _snake_case    (__lowercase    ,      __lowercase):
   return list(map(__lowercase    ,      __lowercase))






def     _snake_case    (__lowercase    ,      __lowercase):
   with open(__lowercase    ,      'wb') as f:
      return pickle.dump(__lowercase    ,      __lowercase)






def     _snake_case    (__lowercase):

   def remove_articles(__lowercase):
      return re.sub(r'\b(a|an|the)\b'    ,      ' '    ,      __lowercase)

   def white_space_fix(__lowercase):
      return " ".join(text.split())

   def remove_punc(__lowercase):
      UpperCamelCase_									=     set(string.punctuation)
      return "".join(ch for ch in text if ch not in exclude)

   def lower(__lowercase):
      return text.lower()

   return white_space_fix(remove_articles(remove_punc(lower(__lowercase))))






def     _snake_case    (__lowercase    ,      __lowercase):
   UpperCamelCase_									=     normalize_answer(__lowercase).split()
   UpperCamelCase_									=     normalize_answer(__lowercase).split()
   UpperCamelCase_									=     Counter(__lowercase) & Counter(__lowercase)
   UpperCamelCase_									=     sum(common.values())
   if num_same == 0:
      return 0
   UpperCamelCase_									=     1.0 * num_same / len(__lowercase)
   UpperCamelCase_									=     1.0 * num_same / len(__lowercase)
   UpperCamelCase_									=     (2 * precision * recall) / (precision + recall)
   return fa






def     _snake_case    (__lowercase    ,      __lowercase):
   return normalize_answer(__lowercase) == normalize_answer(__lowercase)






def     _snake_case    (__lowercase    ,      __lowercase):
   assert len(__lowercase) == len(__lowercase)
   UpperCamelCase_									=     0
   for hypo, pred in zip(__lowercase    ,      __lowercase):
      em += exact_match_score(__lowercase    ,      __lowercase)
   if len(__lowercase) > 0:
      em /= len(__lowercase)
   return {"em": em}






def     _snake_case    (__lowercase):
   return model_prefix.startswith('rag')






def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     {p: p for p in extra_params}
   # T5 models don't have `dropout` param, they have `dropout_rate` instead
   UpperCamelCase_									=     'dropout_rate'
   for p in extra_params:
      if getattr(__lowercase    ,      __lowercase    ,      __lowercase):
         if not hasattr(__lowercase    ,      __lowercase) and not hasattr(__lowercase    ,      equivalent_param[p]):
            logger.info('config doesn\'t have a `{}` attribute'.format(__lowercase))
            delattr(__lowercase    ,      __lowercase)
            continue
         UpperCamelCase_									=     p if hasattr(__lowercase    ,      __lowercase) else equivalent_param[p]
         setattr(__lowercase    ,      __lowercase    ,      getattr(__lowercase    ,      __lowercase))
         delattr(__lowercase    ,      __lowercase)
   return hparams, config













def     _snake_case    (__lowercase    ,      __lowercase):
   _enforce_args(__lowercase    ,      __lowercase)
   if n == 0:
      return 0
   UpperCamelCase_									=     float('-inf')
   for i in range(1    ,      n + 1):
      UpperCamelCase_									=     max(
          __lowercase    ,      prices[i - 1] + naive_cut_rod_recursive(n - i    ,      __lowercase))

   return max_revue






def     _snake_case    (__lowercase    ,      __lowercase):
   _enforce_args(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     [float('-inf') for _ in range(n + 1)]
   return _top_down_cut_rod_recursive(__lowercase    ,      __lowercase    ,      __lowercase)






def     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase):
   if max_rev[n] >= 0:
      return max_rev[n]
   elif n == 0:
      return 0
   else:
      UpperCamelCase_									=     float('-inf')
      for i in range(1    ,      n + 1):
         UpperCamelCase_									=     max(
             __lowercase    ,      prices[i - 1] + _top_down_cut_rod_recursive(n - i    ,      __lowercase    ,      __lowercase)    ,      )

      UpperCamelCase_									=     max_revenue

   return max_rev[n]






def     _snake_case    (__lowercase    ,      __lowercase):
   _enforce_args(__lowercase    ,      __lowercase)

   # length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
   # length 0.
   UpperCamelCase_									=     [float('-inf') for _ in range(n + 1)]
   UpperCamelCase_									=     0

   for i in range(1    ,      n + 1):
      UpperCamelCase_									=     max_rev[i]
      for j in range(1    ,      i + 1):
         UpperCamelCase_									=     max(__lowercase    ,      prices[j - 1] + max_rev[i - j])

      UpperCamelCase_									=     max_revenue_i

   return max_rev[n]






def     _snake_case    (__lowercase    ,      __lowercase):
   if n < 0:
      UpperCamelCase_									=     f"""n must be greater than or equal to 0. Got n = {n}"""
      raise ValueError(__lowercase)

   if n > len(__lowercase):
      UpperCamelCase_									=     (
          'Each integral piece of rod must have a corresponding price. '
          f"""Got n = {n} but length of prices = {len(__lowercase)}"""
      )
      raise ValueError(__lowercase)






def     _snake_case    ():
   UpperCamelCase_									=     [6, 10, 12, 15, 20, 23]
   UpperCamelCase_									=     len(__lowercase)

   # the best revenue comes from cutting the rod into 6 pieces, each
   # of length 1 resulting in a revenue of 6 * 6 = 36.
   UpperCamelCase_									=     36

   UpperCamelCase_									=     top_down_cut_rod(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     bottom_up_cut_rod(__lowercase    ,      __lowercase)
   UpperCamelCase_									=     naive_cut_rod_recursive(__lowercase    ,      __lowercase)

   assert expected_max_revenue == max_rev_top_down
   assert max_rev_top_down == max_rev_bottom_up
   assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
 main()





