
"""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   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE=True							,    SCREAMING_SNAKE_CASE="pt" )  ->     Tuple:







							"""simple docstring"""


							__snake_case     			=       {"add_prefix_space": True} if isinstance(lowerCAmelCase__							,    lowerCAmelCase__ ) and not line.startswith(" " ) else {}
							__snake_case     			=       padding_side
							return tokenizer(
							    [line]							,    max_length=lowerCAmelCase__							,    padding="max_length" if pad_to_max_length else None							,    truncation=lowerCAmelCase__							,    return_tensors=lowerCAmelCase__							,    add_special_tokens=lowerCAmelCase__							,    **lowerCAmelCase__							,    )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE=None							,    )  ->     Dict:







							"""simple docstring"""


							__snake_case     			=       input_ids.ne(lowerCAmelCase__ ).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 							__magic_name__     (		__SCREAMING_SNAKE_CASE   ):





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





					def __len__(				self   :							List[str]    ):
												return len(self.src_lens    )





					def __getitem__(				self   :							Dict							,						snake_case_   :							Tuple    ):
												__snake_case     			=       index + 1  # linecache starts at 1
												__snake_case     			=       self.prefix + linecache.getline(str(self.src_file    )							,						_a    ).rstrip("\n"    )
												__snake_case     			=       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     			=       (
												    self.tokenizer.question_encoder if isinstance(self.tokenizer							,						_a    ) else self.tokenizer
												)
												__snake_case     			=       self.tokenizer.generator if isinstance(self.tokenizer							,						_a    ) else self.tokenizer

												__snake_case     			=       encode_line(_a							,						_a							,						self.max_source_length							,						"right"    )
												__snake_case     			=       encode_line(_a							,						_a							,						self.max_target_length							,						"right"    )

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





					@staticmethod
					def 							lowerCAmelCase      (				snake_case_   :							Optional[int]    ):
												return [len(_a    ) for x in Path(_a    ).open().readlines()]





					def 							lowerCAmelCase      (				self   :							str							,						snake_case_   :							Tuple    ):
												__snake_case     			=       torch.stack([x["input_ids"] for x in batch]    )
												__snake_case     			=       torch.stack([x["attention_mask"] for x in batch]    )
												__snake_case     			=       torch.stack([x["decoder_input_ids"] for x in batch]    )
												__snake_case     			=       (
												    self.tokenizer.generator.pad_token_id
												    if isinstance(self.tokenizer							,						_a    )
												    else self.tokenizer.pad_token_id
												)
												__snake_case     			=       (
												    self.tokenizer.question_encoder.pad_token_id
												    if isinstance(self.tokenizer							,						_a    )
												    else self.tokenizer.pad_token_id
												)
												__snake_case     			=       trim_batch(_a							,						_a    )
												__snake_case			,   __snake_case     			=       trim_batch(_a							,						_a							,						attention_mask=_a    )
												__snake_case     			=       {
												    "input_ids": source_ids,
												    "attention_mask": source_mask,
												    "decoder_input_ids": y,
												}
												return batch




_SCREAMING_SNAKE_CASE	       =      getLogger(__name__)
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     int:







							"""simple docstring"""


							return list(itertools.chain.from_iterable(lowerCAmelCase__ ) )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     None:







							"""simple docstring"""


							__snake_case     			=       get_git_info()
							save_json(lowerCAmelCase__							,    os.path.join(lowerCAmelCase__							,    "git_log.json" ) )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE=4							,    **SCREAMING_SNAKE_CASE )  ->     int:







							"""simple docstring"""


							with open(lowerCAmelCase__							,    "w" ) as f:
														json.dump(lowerCAmelCase__							,    lowerCAmelCase__							,    indent=lowerCAmelCase__							,    **lowerCAmelCase__ )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     Union[str, Any]:







							"""simple docstring"""


							with open(lowerCAmelCase__ ) as f:
														return json.load(lowerCAmelCase__ )
def   __UpperCamelCase   (					)  ->     Optional[int]:







							"""simple docstring"""


							__snake_case     			=       git.Repo(search_parent_directories=lowerCAmelCase__ )
							__snake_case     			=       {
							    "repo_id": str(lowerCAmelCase__ ),
							    "repo_sha": str(repo.head.object.hexsha ),
							    "repo_branch": str(repo.active_branch ),
							    "hostname": str(socket.gethostname() ),
							}
							return repo_infos
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )  ->     List:







							"""simple docstring"""


							return list(map(lowerCAmelCase__							,    lowerCAmelCase__ ) )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )  ->     Dict:







							"""simple docstring"""


							with open(lowerCAmelCase__							,    "wb" ) as f:
														return pickle.dump(lowerCAmelCase__							,    lowerCAmelCase__ )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     Union[str, Any]:







							"""simple docstring"""


							def remove_articles(SCREAMING_SNAKE_CASE ):
														return re.sub(r"\b(a|an|the)\b"							,    " "							,    lowerCAmelCase__ )

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

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

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

							return white_space_fix(remove_articles(remove_punc(lower(lowerCAmelCase__ ) ) ) )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )  ->     Optional[Any]:







							"""simple docstring"""


							__snake_case     			=       normalize_answer(lowerCAmelCase__ ).split()
							__snake_case     			=       normalize_answer(lowerCAmelCase__ ).split()
							__snake_case     			=       Counter(lowerCAmelCase__ ) & Counter(lowerCAmelCase__ )
							__snake_case     			=       sum(common.values() )
							if num_same == 0:
														return 0
							__snake_case     			=       1.0 * num_same / len(lowerCAmelCase__ )
							__snake_case     			=       1.0 * num_same / len(lowerCAmelCase__ )
							__snake_case     			=       (2 * precision * recall) / (precision + recall)
							return fa
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )  ->     int:







							"""simple docstring"""


							return normalize_answer(lowerCAmelCase__ ) == normalize_answer(lowerCAmelCase__ )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )  ->     Dict:







							"""simple docstring"""


							assert len(lowerCAmelCase__ ) == len(lowerCAmelCase__ )
							__snake_case     			=       0
							for hypo, pred in zip(lowerCAmelCase__							,    lowerCAmelCase__ ):
														em += exact_match_score(lowerCAmelCase__							,    lowerCAmelCase__ )
							if len(lowerCAmelCase__ ) > 0:
														em /= len(lowerCAmelCase__ )
							return {"em": em}
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     Tuple:







							"""simple docstring"""


							return model_prefix.startswith("rag" )



def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE )  ->     List[str]:







							"""simple docstring"""


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




"""simple docstring"""







import baseaa
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     bytes:







							"""simple docstring"""


							return baseaa.baaencode(string.encode("utf-8" ) )
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     str:







							"""simple docstring"""


							return baseaa.baadecode(SCREAMING_SNAKE_CASE ).decode("utf-8" )


if __name__ == "__main__":
		_SCREAMING_SNAKE_CASE	       =      """Hello World!"""
		_SCREAMING_SNAKE_CASE	       =      baseaa_encode(test)
		print(encoded)

		_SCREAMING_SNAKE_CASE	       =      baseaa_decode(encoded)
		print(decoded)
