


'''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        a__     (					UpperCamelCase_						:      Dict,   UpperCamelCase_						:      Tuple,   UpperCamelCase_						:      str,   UpperCamelCase_						:      Tuple,   UpperCamelCase_						:      int=True,   UpperCamelCase_						:      List[str]="pt"						):
   UpperCAmelCase__	:Dict      =      {'''add_prefix_space''': True} if isinstance(UpperCamelCase_,   UpperCamelCase_						) and not line.startswith(''' '''						) else {}
   UpperCAmelCase__	:Union[str, 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        a__     (					UpperCamelCase_						:      Optional[int],   UpperCamelCase_						:      Any,   UpperCamelCase_						:      Optional[int]=None,   ):
   UpperCAmelCase__	: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			(			_snake_case						):


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


 def __len__(      self							:	Any ):
    return len(self.src_lens )


 def __getitem__(      self							:	Dict			,       __lowerCamelCase							:	List[str] ):
    UpperCAmelCase__	:Tuple      =      index + 1  # linecache starts at 1
    UpperCAmelCase__	:Any      =      self.prefix + linecache.getline(str(self.src_file )			,       __lowerCamelCase ).rstrip('''\n''' )
    UpperCAmelCase__	:Union[str, Any]      =      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
    UpperCAmelCase__	:Optional[int]      =      (
        self.tokenizer.question_encoder if isinstance(self.tokenizer			,       __lowerCamelCase ) else self.tokenizer
    )
    UpperCAmelCase__	:Optional[int]      =      self.tokenizer.generator if isinstance(self.tokenizer			,       __lowerCamelCase ) else self.tokenizer

    UpperCAmelCase__	:List[str]      =      encode_line(__lowerCamelCase			,       __lowerCamelCase			,       self.max_source_length			,       '''right''' )
    UpperCAmelCase__	:Dict      =      encode_line(__lowerCamelCase			,       __lowerCamelCase			,       self.max_target_length			,       '''right''' )

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


 @staticmethod
 def        __SCREAMING_SNAKE_CASE					(      __lowerCamelCase							:	Any ):
    return [len(__lowerCamelCase ) for x in Path(__lowerCamelCase ).open().readlines()]





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

__lowerCamelCase												=						getLogger(__name__)


def        a__     (					UpperCamelCase_						:      List[List]						):
   return list(itertools.chain.from_iterable(UpperCamelCase_						)						)


def        a__     (					UpperCamelCase_						:      str						):
   UpperCAmelCase__	:Optional[int]      =      get_git_info()
   save_json(UpperCamelCase_,   os.path.join(UpperCamelCase_,   '''git_log.json'''						)						)


def        a__     (					UpperCamelCase_						:      int,   UpperCamelCase_						:      List[str],   UpperCamelCase_						:      Union[str, Any]=4,   **UpperCamelCase_						:      str						):
   with open(UpperCamelCase_,   '''w'''						) as f:
      json.dump(UpperCamelCase_,   UpperCamelCase_,   indent=UpperCamelCase_,   **UpperCamelCase_						)


def        a__     (					UpperCamelCase_						:      Optional[int]						):
   with open(UpperCamelCase_						) as f:
      return json.load(UpperCamelCase_						)


def        a__     (					):
   UpperCAmelCase__	:Union[str, Any]      =      git.Repo(search_parent_directories=UpperCamelCase_						)
   UpperCAmelCase__	:int      =      {
       '''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        a__     (					UpperCamelCase_						:      Callable,   UpperCamelCase_						:      Iterable						):
   return list(map(UpperCamelCase_,   UpperCamelCase_						)						)


def        a__     (					UpperCamelCase_						:      Optional[Any],   UpperCamelCase_						:      Optional[int]						):
   with open(UpperCamelCase_,   '''wb'''						) as f:
      return pickle.dump(UpperCamelCase_,   UpperCamelCase_						)


def        a__     (					UpperCamelCase_						:      List[Any]						):

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

   def white_space_fix(UpperCamelCase_						:      Optional[Any]						):
      return " ".join(text.split()						)

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

   def lower(UpperCamelCase_						:      Optional[Any]						):
      return text.lower()

   return white_space_fix(remove_articles(remove_punc(lower(UpperCamelCase_						)						)						)						)


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


def        a__     (					UpperCamelCase_						:      Optional[int],   UpperCamelCase_						:      List[str]						):
   return normalize_answer(UpperCamelCase_						) == normalize_answer(UpperCamelCase_						)


def        a__     (					UpperCamelCase_						:      List[str],   UpperCamelCase_						:      List[str]						):
   assert len(UpperCamelCase_						) == len(UpperCamelCase_						)
   UpperCAmelCase__	:Optional[Any]      =      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        a__     (					UpperCamelCase_						:      List[str]						):
   return model_prefix.startswith('''rag'''						)


def        a__     (					UpperCamelCase_						:      int,   UpperCamelCase_						:      Any,   UpperCamelCase_						:      Any						):
   UpperCAmelCase__	:str      =      {p: p for p in extra_params}
   # T5 models don't have `dropout` param, they have `dropout_rate` instead
   UpperCAmelCase__	: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
         UpperCAmelCase__	:List[Any]      =      p if hasattr(UpperCamelCase_,   UpperCamelCase_						) else equivalent_param[p]
         setattr(UpperCamelCase_,   UpperCamelCase_,   getattr(UpperCamelCase_,   UpperCamelCase_						)						)
         delattr(UpperCamelCase_,   UpperCamelCase_						)
   return hparams, config







'''simple docstring'''





import pytest

from datasets.splits import SplitDict, SplitInfo
from datasets.utils.py_utils import asdict


@pytest.mark.parametrize(
    '''split_dict''',   [
        SplitDict(),
        SplitDict({'''train''': SplitInfo(name='''train''',   num_bytes=1_337,   num_examples=42,   dataset_name='''my_dataset'''						)}						),
        SplitDict({'''train''': SplitInfo(name='''train''',   num_bytes=1_337,   num_examples=42						)}						),
        SplitDict({'''train''': SplitInfo()}						),
    ],   )
def        a__     (					UpperCamelCase_						:      SplitDict						):
   UpperCAmelCase__	:List[Any]      =      split_dict._to_yaml_list()
   assert len(UpperCamelCase_						) == len(UpperCamelCase_						)
   UpperCAmelCase__	:Tuple      =      SplitDict._from_yaml_list(UpperCamelCase_						)
   for split_name, split_info in split_dict.items():
      # dataset_name field is deprecated, and is therefore not part of the YAML dump
      UpperCAmelCase__	:Union[str, Any]      =      None
      # the split name of split_dict takes over the name of the split info object
      UpperCAmelCase__	:Union[str, Any]      =      split_name
   assert split_dict == reloaded


@pytest.mark.parametrize(
    '''split_info''',   [SplitInfo(), SplitInfo(dataset_name=UpperCamelCase_						), SplitInfo(dataset_name='''my_dataset'''						)]						)
def        a__     (					UpperCamelCase_						:      List[Any]						):
   # For backward compatibility, we need asdict(split_dict) to return split info dictrionaries with the "dataset_name"
   # field even if it's deprecated. This way old versionso of `datasets` can still reload dataset_infos.json files
   UpperCAmelCase__	:List[Any]      =      asdict(SplitDict({'''train''': split_info}						)						)
   assert "dataset_name" in split_dict_asdict["train"]
   assert split_dict_asdict["train"]["dataset_name"] == split_info.dataset_name



