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	(    _lowercase		,  _lowercase		,  _lowercase		,  _lowercase		,  _lowercase=True		,  _lowercase="pt"						):
						SCREAMING_SNAKE_CASE							:    Optional[Any]							=							{'''add_prefix_space''': True} if isinstance(_lowercase		,  _lowercase						) and not line.startswith(''' '''						) else {}
						SCREAMING_SNAKE_CASE							:    str							=							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       A	(    _lowercase		,  _lowercase		,  _lowercase=None		,  ):
						SCREAMING_SNAKE_CASE							:    Dict							=							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 					lowercase__						(   UpperCamelCase_):


						def __init__(       self	:				Tuple    ,		UpperCamelCase__	:				Optional[Any]    ,		UpperCamelCase__	:				List[Any]    ,		UpperCamelCase__	:				Optional[Any]    ,		UpperCamelCase__	:				List[Any]    ,		UpperCamelCase__	:				Tuple="train"    ,		UpperCamelCase__	:				str=None    ,		UpperCamelCase__	:				Optional[int]=None    ,		UpperCamelCase__	:				List[Any]=None    ,		UpperCamelCase__	:				int=""    ,		):





												'''simple docstring'''





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


						def __len__(       self	:				Union[str, Any]						):





												'''simple docstring'''





												return len(self.src_lens						)


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





												'''simple docstring'''





												SCREAMING_SNAKE_CASE							:    List[Any]							=							index + 1  # linecache starts at 1
												SCREAMING_SNAKE_CASE							:    List[Any]							=							self.prefix + linecache.getline(str(self.src_file						)    ,		UpperCamelCase__						).rstrip('''\n'''						)
												SCREAMING_SNAKE_CASE							:    Dict							=							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
												SCREAMING_SNAKE_CASE							:    str							=							(
												    self.tokenizer.question_encoder if isinstance(self.tokenizer    ,		UpperCamelCase__						) else self.tokenizer
												)
												SCREAMING_SNAKE_CASE							:    Dict							=							self.tokenizer.generator if isinstance(self.tokenizer    ,		UpperCamelCase__						) else self.tokenizer

												SCREAMING_SNAKE_CASE							:    List[str]							=							encode_line(UpperCamelCase__    ,		UpperCamelCase__    ,		self.max_source_length    ,		'''right'''						)
												SCREAMING_SNAKE_CASE							:    List[str]							=							encode_line(UpperCamelCase__    ,		UpperCamelCase__    ,		self.max_target_length    ,		'''right'''						)

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


						@staticmethod
						def        __A       (       UpperCamelCase__	:				Any						):





												'''simple docstring'''





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



						def        __A       (       self	:				Optional[Any]    ,		UpperCamelCase__	:				Optional[Any]						):





												'''simple docstring'''





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






__UpperCamelCase		:       Union[str, Any]									=     getLogger(__name__)
def       A	(    _lowercase						):
						return list(itertools.chain.from_iterable(_lowercase						)						)
def       A	(    _lowercase						):
						SCREAMING_SNAKE_CASE							:    List[Any]							=							get_git_info()
						save_json(_lowercase		,  os.path.join(_lowercase		,  '''git_log.json'''						)						)
def       A	(    _lowercase		,  _lowercase		,  _lowercase=4		,  **_lowercase						):
						with open(_lowercase		,  '''w'''						) as f:
												json.dump(_lowercase		,  _lowercase		,  indent=_lowercase		,  **_lowercase						)
def       A	(    _lowercase						):
						with open(_lowercase						) as f:
												return json.load(_lowercase						)
def       A	(    ):
						SCREAMING_SNAKE_CASE							:    List[str]							=							git.Repo(search_parent_directories=_lowercase						)
						SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							{
						    '''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       A	(    _lowercase		,  _lowercase						):
						return list(map(_lowercase		,  _lowercase						)						)
def       A	(    _lowercase		,  _lowercase						):
						with open(_lowercase		,  '''wb'''						) as f:
												return pickle.dump(_lowercase		,  _lowercase						)
def       A	(    _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						):
												SCREAMING_SNAKE_CASE							:    int							=							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       A	(    _lowercase		,  _lowercase						):
						SCREAMING_SNAKE_CASE							:    Tuple							=							normalize_answer(_lowercase						).split()
						SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							normalize_answer(_lowercase						).split()
						SCREAMING_SNAKE_CASE							:    List[str]							=							Counter(_lowercase						) & Counter(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Dict							=							sum(common.values()						)
						if num_same == 0:
												return 0
						SCREAMING_SNAKE_CASE							:    int							=							1.0 * num_same / len(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Optional[Any]							=							1.0 * num_same / len(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Tuple							=							(2 * precision * recall) / (precision + recall)
						return fa
def       A	(    _lowercase		,  _lowercase						):
						return normalize_answer(_lowercase						) == normalize_answer(_lowercase						)
def       A	(    _lowercase		,  _lowercase						):
						assert len(_lowercase						) == len(_lowercase						)
						SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							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       A	(    _lowercase						):
						return model_prefix.startswith('''rag'''						)



def       A	(    _lowercase		,  _lowercase		,  _lowercase						):
						SCREAMING_SNAKE_CASE							:    Any							=							{p: p for p in extra_params}
						# T5 models don't have `dropout` param, they have `dropout_rate` instead
						SCREAMING_SNAKE_CASE							:    Optional[int]							=							'''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
																		SCREAMING_SNAKE_CASE							:    Dict							=							p if hasattr(_lowercase		,  _lowercase						) else equivalent_param[p]
																		setattr(_lowercase		,  _lowercase		,  getattr(_lowercase		,  _lowercase						)						)
																		delattr(_lowercase		,  _lowercase						)
						return hparams, config






from packaging import version

from .import_utils import is_accelerate_available


if is_accelerate_available():
					import accelerate
def       A	(    _lowercase						):
						if not is_accelerate_available():
												return method
						SCREAMING_SNAKE_CASE							:    int							=							version.parse(accelerate.__version__						).base_version
						if version.parse(_lowercase						) < version.parse('''0.17.0'''						):
												return method

						def wrapper(self		,  *_lowercase		,  **_lowercase						):
												if hasattr(self		,  '''_hf_hook'''						) and hasattr(self._hf_hook		,  '''pre_forward'''						):
																		self._hf_hook.pre_forward(self						)
												return method(self		,  *_lowercase		,  **_lowercase						)

						return wrapper





