




"""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__       (snake_case__							:					int		,   snake_case__							:					Tuple		,   snake_case__							:					Any		,   snake_case__							:					int		,   snake_case__							:					Optional[int]=True		,   snake_case__							:					Optional[int]="pt"    ):
  """simple docstring"""

  _snake_case							:		Dict								=  {"""add_prefix_space""": True} if isinstance(snake_case__		,   snake_case__    ) and not line.startswith(""" """    ) else {}
  _snake_case							:		Optional[Any]								=  padding_side
  return tokenizer(
      [line]		,   max_length=snake_case__		,   padding="""max_length""" if pad_to_max_length else None		,   truncation=snake_case__		,   return_tensors=snake_case__		,   add_special_tokens=snake_case__		,   **snake_case__		,   )


def 					UpperCAmelCase__       (snake_case__							:					Optional[Any]		,   snake_case__							:					Dict		,   snake_case__							:					Any=None		,   ):
  """simple docstring"""

  _snake_case							:		List[Any]								=  input_ids.ne(snake_case__    ).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 					lowercase(     __a ):







 '''simple docstring'''





 def __init__(				self:		str,      a_:		Any,      a_:		Union[str, Any],      a_:		Dict,      a_:		Dict,      a_:		int="train",      a_:		Any=None,      a_:		Any=None,      a_:		Any=None,      a_:		Tuple="",      ):




   '''simple docstring'''



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


 def __len__(				self:		Any		):




   '''simple docstring'''



   return len(self.src_lens		)


 def __getitem__(				self:		Union[str, Any],      a_:		List[Any]		):




   '''simple docstring'''



   _snake_case							:		Optional[int]								=  index + 1  # linecache starts at 1
   _snake_case							:		Optional[Any]								=  self.prefix + linecache.getline(str(self.src_file		),      a_		).rstrip("""\n"""		)
   _snake_case							:		int								=  linecache.getline(str(self.tgt_file		),      a_		).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,      a_		):
     source_line += self.tokenizer.eos_token
     tgt_line += self.tokenizer.eos_token

   # Pad source and target to the right
   _snake_case							:		Dict								=  (
       self.tokenizer.question_encoder if isinstance(self.tokenizer,      a_		) else self.tokenizer
   )
   _snake_case							:		str								=  self.tokenizer.generator if isinstance(self.tokenizer,      a_		) else self.tokenizer

   _snake_case							:		Tuple								=  encode_line(a_,      a_,      self.max_source_length,      """right"""		)
   _snake_case							:		Optional[Any]								=  encode_line(a_,      a_,      self.max_target_length,      """right"""		)

   _snake_case							:		Optional[int]								=  source_inputs["""input_ids"""].squeeze()
   _snake_case							:		Optional[Any]								=  target_inputs["""input_ids"""].squeeze()
   _snake_case							:		List[Any]								=  source_inputs["""attention_mask"""].squeeze()
   return {
       "input_ids": source_ids,
       "attention_mask": src_mask,
       "decoder_input_ids": target_ids,
   }


 @staticmethod
 def  UpperCamelCase_   (				a_:		Union[str, Any]		):




   '''simple docstring'''



   return [len(a_		) for x in Path(a_		).open().readlines()]


 def  UpperCamelCase_   (				self:		Optional[int],      a_:		List[str]		):




   '''simple docstring'''



   _snake_case							:		Any								=  torch.stack([x["""input_ids"""] for x in batch]		)
   _snake_case							:		Optional[int]								=  torch.stack([x["""attention_mask"""] for x in batch]		)
   _snake_case							:		Tuple								=  torch.stack([x["""decoder_input_ids"""] for x in batch]		)
   _snake_case							:		Tuple								=  (
       self.tokenizer.generator.pad_token_id
       if isinstance(self.tokenizer,      a_		)
       else self.tokenizer.pad_token_id
   )
   _snake_case							:		str								=  (
       self.tokenizer.question_encoder.pad_token_id
       if isinstance(self.tokenizer,      a_		)
       else self.tokenizer.pad_token_id
   )
   _snake_case							:		Optional[int]								=  trim_batch(a_,      a_		)
   _snake_case		,					_snake_case							:		List[Any]								=  trim_batch(a_,      a_,      attention_mask=a_		)
   _snake_case							:		Tuple								=  {
       """input_ids""": source_ids,
       """attention_mask""": source_mask,
       """decoder_input_ids""": y,
   }
   return batch







A_						=				getLogger(__name__)


def 					UpperCAmelCase__       (snake_case__							:					List[List]    ):
  """simple docstring"""

  return list(itertools.chain.from_iterable(snake_case__    )    )


def 					UpperCAmelCase__       (snake_case__							:					str    ):
  """simple docstring"""

  _snake_case							:		Any								=  get_git_info()
  save_json(snake_case__		,   os.path.join(snake_case__		,   """git_log.json"""    )    )


def 					UpperCAmelCase__       (snake_case__							:					str		,   snake_case__							:					List[Any]		,   snake_case__							:					Any=4		,   **snake_case__							:					str    ):
  """simple docstring"""

  with open(snake_case__		,   """w"""    ) as f:
    json.dump(snake_case__		,   snake_case__		,   indent=snake_case__		,   **snake_case__    )


def 					UpperCAmelCase__       (snake_case__							:					Tuple    ):
  """simple docstring"""

  with open(snake_case__    ) as f:
    return json.load(snake_case__    )


def 					UpperCAmelCase__       ():
  """simple docstring"""

  _snake_case							:		int								=  git.Repo(search_parent_directories=snake_case__    )
  _snake_case							:		List[str]								=  {
      """repo_id""": str(snake_case__    ),
      """repo_sha""": str(repo.head.object.hexsha    ),
      """repo_branch""": str(repo.active_branch    ),
      """hostname""": str(socket.gethostname()    ),
  }
  return repo_infos


def 					UpperCAmelCase__       (snake_case__							:					Callable		,   snake_case__							:					Iterable    ):
  """simple docstring"""

  return list(map(snake_case__		,   snake_case__    )    )


def 					UpperCAmelCase__       (snake_case__							:					Optional[Any]		,   snake_case__							:					Union[str, Any]    ):
  """simple docstring"""

  with open(snake_case__		,   """wb"""    ) as f:
    return pickle.dump(snake_case__		,   snake_case__    )


def 					UpperCAmelCase__       (snake_case__							:					Union[str, Any]    ):
  """simple docstring"""

  def remove_articles(snake_case__							:					Optional[Any]    ):
    return re.sub(R"""\b(a|an|the)\b"""		,   """ """		,   snake_case__    )

  def white_space_fix(snake_case__							:					Dict    ):
    return " ".join(text.split()    )

  def remove_punc(snake_case__							:					Any    ):
    _snake_case							:		List[str]								=  set(string.punctuation    )
    return "".join(ch for ch in text if ch not in exclude    )

  def lower(snake_case__							:					Tuple    ):
    return text.lower()

  return white_space_fix(remove_articles(remove_punc(lower(snake_case__    )    )    )    )


def 					UpperCAmelCase__       (snake_case__							:					Optional[int]		,   snake_case__							:					Optional[int]    ):
  """simple docstring"""

  _snake_case							:		Tuple								=  normalize_answer(snake_case__    ).split()
  _snake_case							:		Tuple								=  normalize_answer(snake_case__    ).split()
  _snake_case							:		List[str]								=  Counter(snake_case__    ) & Counter(snake_case__    )
  _snake_case							:		Dict								=  sum(common.values()    )
  if num_same == 0:
    return 0
  _snake_case							:		List[str]								=  1.0 * num_same / len(snake_case__    )
  _snake_case							:		Optional[int]								=  1.0 * num_same / len(snake_case__    )
  _snake_case							:		List[Any]								=  (2 * precision * recall) / (precision + recall)
  return fa


def 					UpperCAmelCase__       (snake_case__							:					Union[str, Any]		,   snake_case__							:					Tuple    ):
  """simple docstring"""

  return normalize_answer(snake_case__    ) == normalize_answer(snake_case__    )


def 					UpperCAmelCase__       (snake_case__							:					List[str]		,   snake_case__							:					List[str]    ):
  """simple docstring"""

  assert len(snake_case__    ) == len(snake_case__    )
  _snake_case							:		Union[str, Any]								=  0
  for hypo, pred in zip(snake_case__		,   snake_case__    ):
    em += exact_match_score(snake_case__		,   snake_case__    )
  if len(snake_case__    ) > 0:
    em /= len(snake_case__    )
  return {"em": em}


def 					UpperCAmelCase__       (snake_case__							:					Optional[Any]    ):
  """simple docstring"""

  return model_prefix.startswith("""rag"""    )






def 					UpperCAmelCase__       (snake_case__							:					int		,   snake_case__							:					int		,   snake_case__							:					str    ):
  """simple docstring"""

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








"""simple docstring"""


from __future__ import annotations


def 					UpperCAmelCase__       (snake_case__							:					list[float]    ):
  """simple docstring"""

  _snake_case							:		int								=  0.00
  _snake_case							:		int								=  0
  for resistor in resistors:
    if resistor <= 0:
      _snake_case							:		Dict								=  F"Resistor at index {index} has a negative or zero value!"
      raise ValueError(snake_case__    )
    first_sum += 1 / float(snake_case__    )
    index += 1
  return 1 / first_sum


def 					UpperCAmelCase__       (snake_case__							:					list[float]    ):
  """simple docstring"""

  _snake_case							:		Union[str, Any]								=  0.00
  _snake_case							:		Any								=  0
  for resistor in resistors:
    sum_r += resistor
    if resistor < 0:
      _snake_case							:		Any								=  F"Resistor at index {index} has a negative value!"
      raise ValueError(snake_case__    )
    index += 1
  return sum_r


if __name__ == "__main__":
     import doctest

     doctest.testmod()


