



'''simple docstring'''

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       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase		,					UpperCAmelCase		,					UpperCAmelCase		,					UpperCAmelCase=True		,					UpperCAmelCase="pt"					):
 lowercase__    :   str						= {'''add_prefix_space''': True} if isinstance(UpperCAmelCase		,					UpperCAmelCase					) and not line.startswith(''' '''					) else {}
 lowercase__    :   Any						= padding_side
 return tokenizer(
     [line]		,					max_length=UpperCAmelCase		,					padding='''max_length''' if pad_to_max_length else None		,					truncation=UpperCAmelCase		,					return_tensors=UpperCAmelCase		,					add_special_tokens=UpperCAmelCase		,					**UpperCAmelCase		,					)
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase		,					UpperCAmelCase=None		,					):
 lowercase__    :   List[str]						= input_ids.ne(UpperCAmelCase					).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       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



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

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

       def __getitem__(						self     ,       __lowerCAmelCase			)  ->  Dict[str, torch.Tensor]:
        lowercase__    :   Dict						= index + 1  # linecache starts at 1
        lowercase__    :   int						= self.prefix + linecache.getline(str(self.src_file			)     ,       __lowerCAmelCase			).rstrip('''\n'''			)
        lowercase__    :   List[str]						= linecache.getline(str(self.tgt_file			)     ,       __lowerCAmelCase			).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     ,       __lowerCAmelCase			):
         source_line += self.tokenizer.eos_token
         tgt_line += self.tokenizer.eos_token

        # Pad source and target to the right
        lowercase__    :   List[str]						= (
            self.tokenizer.question_encoder if isinstance(self.tokenizer     ,       __lowerCAmelCase			) else self.tokenizer
        )
        lowercase__    :   Dict						= self.tokenizer.generator if isinstance(self.tokenizer     ,       __lowerCAmelCase			) else self.tokenizer

        lowercase__    :   Union[str, Any]						= encode_line(__lowerCAmelCase     ,       __lowerCAmelCase     ,       self.max_source_length     ,       '''right'''			)
        lowercase__    :   Dict						= encode_line(__lowerCAmelCase     ,       __lowerCAmelCase     ,       self.max_target_length     ,       '''right'''			)

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

       @staticmethod
       def _lowerCAmelCase(						__lowerCAmelCase			)  ->  str:
        return [len(__lowerCAmelCase			) for x in Path(__lowerCAmelCase			).open().readlines()]


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


__a:			str	       =       getLogger(__name__)
def       __UpperCamelCase	(       UpperCAmelCase					):
 return list(itertools.chain.from_iterable(UpperCAmelCase					)					)
def       __UpperCamelCase	(       UpperCAmelCase					):
 lowercase__    :   str						= get_git_info()
 save_json(UpperCAmelCase		,					os.path.join(UpperCAmelCase		,					'''git_log.json'''					)					)
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase		,					UpperCAmelCase=4		,					**UpperCAmelCase					):
 with open(UpperCAmelCase		,					'''w'''					) as f:
  json.dump(UpperCAmelCase		,					UpperCAmelCase		,					indent=UpperCAmelCase		,					**UpperCAmelCase					)
def       __UpperCamelCase	(       UpperCAmelCase					):
 with open(UpperCAmelCase					) as f:
  return json.load(UpperCAmelCase					)
def       __UpperCamelCase	(       ):
 lowercase__    :   List[Any]						= git.Repo(search_parent_directories=UpperCAmelCase					)
 lowercase__    :   Union[str, Any]						= {
     '''repo_id''': str(UpperCAmelCase					),
     '''repo_sha''': str(repo.head.object.hexsha					),
     '''repo_branch''': str(repo.active_branch					),
     '''hostname''': str(socket.gethostname()					),
 }
 return repo_infos
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase					):
 return list(map(UpperCAmelCase		,					UpperCAmelCase					)					)
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase					):
 with open(UpperCAmelCase		,					'''wb'''					) as f:
  return pickle.dump(UpperCAmelCase		,					UpperCAmelCase					)
def       __UpperCamelCase	(       UpperCAmelCase					):

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

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

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

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

 return white_space_fix(remove_articles(remove_punc(lower(UpperCAmelCase					)					)					)					)
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase					):
 lowercase__    :   Optional[int]						= normalize_answer(UpperCAmelCase					).split()
 lowercase__    :   Optional[Any]						= normalize_answer(UpperCAmelCase					).split()
 lowercase__    :   Tuple						= Counter(UpperCAmelCase					) & Counter(UpperCAmelCase					)
 lowercase__    :   Optional[Any]						= sum(common.values()					)
 if num_same == 0:
  return 0
 lowercase__    :   Any						= 1.0 * num_same / len(UpperCAmelCase					)
 lowercase__    :   Optional[Any]						= 1.0 * num_same / len(UpperCAmelCase					)
 lowercase__    :   Union[str, Any]						= (2 * precision * recall) / (precision + recall)
 return fa
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase					):
 return normalize_answer(UpperCAmelCase					) == normalize_answer(UpperCAmelCase					)
def       __UpperCamelCase	(       UpperCAmelCase		,					UpperCAmelCase					):
 assert len(UpperCAmelCase					) == len(UpperCAmelCase					)
 lowercase__    :   Tuple						= 0
 for hypo, pred in zip(UpperCAmelCase		,					UpperCAmelCase					):
  em += exact_match_score(UpperCAmelCase		,					UpperCAmelCase					)
 if len(UpperCAmelCase					) > 0:
  em /= len(UpperCAmelCase					)
 return {"em": em}
def       __UpperCamelCase	(       UpperCAmelCase					):
 return model_prefix.startswith('''rag'''					)





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


'''simple docstring'''

import re

from filelock import FileLock


try:
  import nltk

  __a:			Tuple	       =       True
except (ImportError, ModuleNotFoundError):
  __a:			List[Any]	       =       False

if NLTK_AVAILABLE:
  with FileLock(""".lock""") as lock:
    nltk.download("""punkt""", quiet=True)
def       __UpperCamelCase	(       UpperCAmelCase					):
 re.sub('''<n>'''		,					''''''		,					UpperCAmelCase					)  # remove pegasus newline char
 assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
 return "\n".join(nltk.sent_tokenize(UpperCAmelCase					)					)

