
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      (     a_		,       a_		,       a_		,       a_		,       a_=True		,       a_="pt"						)		->     Optional[int]:







				"""simple docstring"""



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


def 						UpperCAmelCase      (     a_		,       a_		,       a_=None		,       )		->     List[str]:







				"""simple docstring"""



				__A             =			input_ids.ne(a_						).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				(  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





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






	def __len__(	self :			Optional[Any]			):
					return len(self.src_lens			)






	def __getitem__(	self :			List[str]							,A :			Dict			):
					__A             =			index + 1  # linecache starts at 1
					__A             =			self.prefix + linecache.getline(str(self.src_file			)							,A			).rstrip("\n"			)
					__A             =			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
					__A             =			(
					    self.tokenizer.question_encoder if isinstance(self.tokenizer							,A			) else self.tokenizer
					)
					__A             =			self.tokenizer.generator if isinstance(self.tokenizer							,A			) else self.tokenizer

					__A             =			encode_line(A							,A							,self.max_source_length							,"right"			)
					__A             =			encode_line(A							,A							,self.max_target_length							,"right"			)

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






	@staticmethod
	def     UpperCamelCase_  (	A :			Optional[int]			):
					return [len(A			) for x in Path(A			).open().readlines()]







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





SCREAMING_SNAKE_CASE							:List[Any]										=    getLogger(__name__)


def 						UpperCAmelCase      (     a_						)		->     Dict:







				"""simple docstring"""



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


def 						UpperCAmelCase      (     a_						)		->     None:







				"""simple docstring"""



				__A             =			get_git_info()
				save_json(a_		,       os.path.join(a_		,       "git_log.json"						)						)


def 						UpperCAmelCase      (     a_		,       a_		,       a_=4		,       **a_						)		->     Tuple:







				"""simple docstring"""



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


def 						UpperCAmelCase      (     a_						)		->     Optional[int]:







				"""simple docstring"""



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


def 						UpperCAmelCase      (     )		->     str:







				"""simple docstring"""



				__A             =			git.Repo(search_parent_directories=a_						)
				__A             =			{
				    "repo_id": str(a_						),
				    "repo_sha": str(repo.head.object.hexsha						),
				    "repo_branch": str(repo.active_branch						),
				    "hostname": str(socket.gethostname()						),
				}
				return repo_infos


def 						UpperCAmelCase      (     a_		,       a_						)		->     List:







				"""simple docstring"""



				return list(map(a_		,       a_						)						)


def 						UpperCAmelCase      (     a_		,       a_						)		->     Dict:







				"""simple docstring"""



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


def 						UpperCAmelCase      (     a_						)		->     str:







				"""simple docstring"""



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

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

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

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

				return white_space_fix(remove_articles(remove_punc(lower(a_						)						)						)						)


def 						UpperCAmelCase      (     a_		,       a_						)		->     int:







				"""simple docstring"""



				__A             =			normalize_answer(a_						).split()
				__A             =			normalize_answer(a_						).split()
				__A             =			Counter(a_						) & Counter(a_						)
				__A             =			sum(common.values()						)
				if num_same == 0:
								return 0
				__A             =			1.0 * num_same / len(a_						)
				__A             =			1.0 * num_same / len(a_						)
				__A             =			(2 * precision * recall) / (precision + recall)
				return fa


def 						UpperCAmelCase      (     a_		,       a_						)		->     Any:







				"""simple docstring"""



				return normalize_answer(a_						) == normalize_answer(a_						)


def 						UpperCAmelCase      (     a_		,       a_						)		->     Dict:







				"""simple docstring"""



				assert len(a_						) == len(a_						)
				__A             =			0
				for hypo, pred in zip(a_		,       a_						):
								em += exact_match_score(a_		,       a_						)
				if len(a_						) > 0:
								em /= len(a_						)
				return {"em": em}


def 						UpperCAmelCase      (     a_						)		->     Union[str, Any]:







				"""simple docstring"""



				return model_prefix.startswith("rag"						)


def 						UpperCAmelCase      (     a_		,       a_		,       a_						)		->     Optional[Any]:







				"""simple docstring"""



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


import copy
import re





class 							UpperCAmelCase				:




	'''simple docstring'''





	snake_case_    =					"hp"
	snake_case_    =					{}
	snake_case_    =					None






	@classmethod
	def     UpperCamelCase_  (	cls :			Dict							,A :			Dict							,A :			Any			):
					__A             =			prefix
					__A             =			defaults
					cls.build_naming_info()






	@staticmethod
	def     UpperCamelCase_  (	A :			Dict							,A :			int			):
					if len(A			) == 0:
									return ""
					__A             =			None
					if any(char.isdigit() for char in word			):
									raise Exception(f'''Parameters should not contain numbers: \'{word}\' contains a number'''			)
					if word in info["short_word"]:
									return info["short_word"][word]
					for prefix_len in range(1							,len(A			) + 1			):
									__A             =			word[:prefix_len]
									if prefix in info["reverse_short_word"]:
													continue
									else:
													__A             =			prefix
													break

					if short_word is None:
									# Paranoid fallback
									def int_to_alphabetic(A :			str			):
													__A             =			""
													while integer != 0:
																	__A             =			chr(ord("A"			) + integer % 10			) + s
																	integer //= 10
													return s

									__A             =			0
									while True:
													__A             =			word + "#" + int_to_alphabetic(A			)
													if sword in info["reverse_short_word"]:
																	continue
													else:
																	__A             =			sword
																	break

					__A             =			short_word
					__A             =			word
					return short_word






	@staticmethod
	def     UpperCamelCase_  (	A :			int							,A :			Tuple			):
					__A             =			param_name.split("_"			)

					__A             =			[TrialShortNamer.shortname_for_word(A							,A			) for word in words]

					# We try to create a separatorless short name, but if there is a collision we have to fallback
					# to a separated short name
					__A             =			["", "_"]

					for separator in separators:
									__A             =			separator.join(A			)
									if shortname not in info["reverse_short_param"]:
													__A             =			shortname
													__A             =			param_name
													return shortname

					return param_name






	@staticmethod
	def     UpperCamelCase_  (	A :			Optional[Any]							,A :			Tuple			):
					__A             =			TrialShortNamer.shortname_for_key(A							,A			)
					__A             =			short_name
					__A             =			param_name






	@classmethod
	def     UpperCamelCase_  (	cls :			Dict			):
					if cls.NAMING_INFO is not None:
									return

					__A             =			{
					    "short_word": {},
					    "reverse_short_word": {},
					    "short_param": {},
					    "reverse_short_param": {},
					}

					__A             =			list(cls.DEFAULTS.keys()			)

					for k in field_keys:
									cls.add_new_param_name(A							,A			)

					__A             =			info






	@classmethod
	def     UpperCamelCase_  (	cls :			Dict							,A :			List[str]			):
					cls.build_naming_info()
					assert cls.PREFIX is not None
					__A             =			[copy.copy(cls.PREFIX			)]

					for k, v in params.items():
									if k not in cls.DEFAULTS:
													raise Exception(f'''You should provide a default value for the param name {k} with value {v}'''			)
									if v == cls.DEFAULTS[k]:
													# The default value is not added to the name
													continue

									__A             =			cls.NAMING_INFO["short_param"][k]

									if isinstance(A							,A			):
													__A             =			1 if v else 0

									__A             =			"" if isinstance(A							,(int, float)			) else "-"
									__A             =			f'''{key}{sep}{v}'''
									name.append(A			)

					return "_".join(A			)







	@classmethod
	def     UpperCamelCase_  (	cls :			Tuple							,A :			Tuple			):
					__A             =			repr[len(cls.PREFIX			) + 1 :]
					if repr == "":
									__A             =			[]
					else:
									__A             =			repr.split("_"			)

					__A             =			{}

					for value in values:
									if "-" in value:
													__A      ,							__A             =			value.split("-"			)
									else:
													__A             =			re.sub("[0-9.]"							,""							,A			)
													__A             =			float(re.sub("[^0-9.]"							,""							,A			)			)

									__A             =			cls.NAMING_INFO["reverse_short_param"][p_k]

									__A             =			p_v

					for k in cls.DEFAULTS:
									if k not in parameters:
													__A             =			cls.DEFAULTS[k]

					return parameters
