


'''simple docstring'''
from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL

from ...utils import BaseOutput, OptionalDependencyNotAvailable, is_torch_available, is_transformers_available
from .timesteps import (
    fastaa_timesteps,
    smartaa_timesteps,
    smartaa_timesteps,
    smartaaa_timesteps,
    smartaaa_timesteps,
    superaa_timesteps,
    superaa_timesteps,
    superaaa_timesteps,
)
@dataclass
class    lowercase	(							A__					):

		"""simple docstring"""

		_a     =				42
		_a     =				42
		_a     =				42


try:
		if not (is_transformers_available() and is_torch_available()):
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
		from .pipeline_if import IFPipeline
		from .pipeline_if_imgaimg import IFImgaImgPipeline
		from .pipeline_if_imgaimg_superresolution import IFImgaImgSuperResolutionPipeline
		from .pipeline_if_inpainting import IFInpaintingPipeline
		from .pipeline_if_inpainting_superresolution import IFInpaintingSuperResolutionPipeline
		from .pipeline_if_superresolution import IFSuperResolutionPipeline
		from .safety_checker import IFSafetyChecker
		from .watermark import IFWatermarker





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 						lowerCamelCase__    (		_A     ,	_A     ,	_A     ,	_A     ,	_A=True     ,	_A="pt"							):







	'''simple docstring'''





	snake_case_		    =     {"add_prefix_space": True} if isinstance(_A     ,	_A							) and not line.startswith(" "							) else {}
	snake_case_		    =     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 						lowerCamelCase__    (		_A     ,	_A     ,	_A=None     ,	):







	'''simple docstring'''





	snake_case_		    =     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   (				UpperCAmelCase__			):







						'''simple docstring'''





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






							"""simple docstring"""






							super().__init__()
							snake_case_		    =     Path(__lowercase						).joinpath(type_path + ".source"						)
							snake_case_		    =     Path(__lowercase						).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[Any]						):






							"""simple docstring"""






							return len(self.src_lens						)






						def __getitem__(						self							:     List[Any]       ,	__lowercase							:     Dict						):






							"""simple docstring"""






							snake_case_		    =     index + 1  # linecache starts at 1
							snake_case_		    =     self.prefix + linecache.getline(str(self.src_file						)       ,	__lowercase						).rstrip("\n"						)
							snake_case_		    =     linecache.getline(str(self.tgt_file						)       ,	__lowercase						).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       ,	__lowercase						):
								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       ,	__lowercase						) else self.tokenizer
							)
							snake_case_		    =     self.tokenizer.generator if isinstance(self.tokenizer       ,	__lowercase						) else self.tokenizer

							snake_case_		    =     encode_line(__lowercase       ,	__lowercase       ,	self.max_source_length       ,	"right"						)
							snake_case_		    =     encode_line(__lowercase       ,	__lowercase       ,	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        snake_case__						(						__lowercase							:     Optional[int]						):






							"""simple docstring"""






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






						def        snake_case__						(						self							:     Dict       ,	__lowercase							:     Union[str, Any]						):






							"""simple docstring"""






							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       ,	__lowercase						)
							    else self.tokenizer.pad_token_id
							)
							snake_case_		    =     (
							    self.tokenizer.question_encoder.pad_token_id
							    if isinstance(self.tokenizer       ,	__lowercase						)
							    else self.tokenizer.pad_token_id
							)
							snake_case_		    =     trim_batch(__lowercase       ,	__lowercase						)
							snake_case_    ,      snake_case_		    =     trim_batch(__lowercase       ,	__lowercase       ,	attention_mask=__lowercase						)
							snake_case_		    =     {
							    "input_ids": source_ids,
							    "attention_mask": source_mask,
							    "decoder_input_ids": y,
							}
							return batch







lowercase__				:     str 		=						getLogger(__name__)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





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


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     get_git_info()
	save_json(_A     ,	os.path.join(_A     ,	"git_log.json"							)							)


def 						lowerCamelCase__    (		_A     ,	_A     ,	_A=4     ,	**_A							):







	'''simple docstring'''





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


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





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


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	snake_case_		    =     git.Repo(search_parent_directories=_A							)
	snake_case_		    =     {
	    "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 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	return list(map(_A     ,	_A							)							)


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





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


def 						lowerCamelCase__    (		_A							):







	'''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							):
		snake_case_		    =     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 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





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


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	return normalize_answer(_A							) == normalize_answer(_A							)


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	assert len(_A							) == len(_A							)
	snake_case_		    =     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 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return model_prefix.startswith("rag"							)






def 						lowerCamelCase__    (		_A     ,	_A     ,	_A							):







	'''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(_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
			snake_case_		    =     p if hasattr(_A     ,	_A							) else equivalent_param[p]
			setattr(_A     ,	_A     ,	getattr(_A     ,	_A							)							)
			delattr(_A     ,	_A							)
	return hparams, config
