






'''simple docstring'''


import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union

from .. import config
from .filelock import FileLock
from .logging import get_logger


lowerCamelCase_				: List[str]    	=							get_logger(__name__)
class    _SCREAMING_SNAKE_CASE							:


			'''simple docstring'''





			def __init__(   self							:						Union[str, Any] ,      lowercase							:						Optional[str] = None			)							->    Tuple:

									'''simple docstring'''







									UpperCamelCase__         = (
									    os.path.join(lowercase ,      config.EXTRACTED_DATASETS_DIR			) if cache_dir else config.EXTRACTED_DATASETS_PATH
									)
									UpperCamelCase__         = Extractor






			def 				A      (   self							:						List[Any] ,      lowercase							:						str			)							->    str:

									'''simple docstring'''







									from .file_utils import hash_url_to_filename

									# Path where we extract compressed archives
									# We extract in the cache dir, and get the extracted path name by hashing the original path"
									UpperCamelCase__         = os.path.abspath(lowercase			)
									return os.path.join(self.extract_dir ,      hash_url_to_filename(lowercase			)			)






			def 				A      (   self							:						str ,      lowercase							:						str ,      lowercase							:						bool			)							->    bool:

									'''simple docstring'''







									return force_extract or (
									    not os.path.isfile(lowercase			) and not (os.path.isdir(lowercase			) and os.listdir(lowercase			))
									)







			def 				A      (   self							:						Optional[Any] ,      lowercase							:						str ,      lowercase							:						bool = False			)							->    str:

									'''simple docstring'''







									UpperCamelCase__         = self.extractor.infer_extractor_format(lowercase			)
									if not extractor_format:
															return input_path
									UpperCamelCase__         = self._get_output_path(lowercase			)
									if self._do_extract(lowercase ,      lowercase			):
															self.extractor.extract(lowercase ,      lowercase ,      lowercase			)
									return output_path
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			@classmethod
			@abstractmethod
			def 				A      (   cls							:						List[Any] ,      lowercase							:						Union[Path, str] ,      **lowercase							:						Dict			)							->    bool:

									'''simple docstring'''







									...







			@staticmethod
			@abstractmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str]			)							->    None:

									'''simple docstring'''







									...
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE       ,SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							List[bytes]					     =					[]






			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						int			)							->    Dict:

									'''simple docstring'''







									with open(lowercase ,      """rb"""			) as f:
															return f.read(lowercase			)







			@classmethod
			def 				A      (   cls							:						Any ,      lowercase							:						Union[Path, str] ,      lowercase							:						bytes = b""			)							->    bool:

									'''simple docstring'''







									if not magic_number:
															UpperCamelCase__         = max(len(lowercase			) for cls_magic_number in cls.magic_numbers			)
															try:
																					UpperCamelCase__         = cls.read_magic_number(lowercase ,      lowercase			)
															except OSError:
																					return False
									return any(magic_number.startswith(lowercase			) for cls_magic_number in cls.magic_numbers			)
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			@classmethod
			def 				A      (   cls							:						List[Any] ,      lowercase							:						Union[Path, str] ,      **lowercase							:						str			)							->    bool:

									'''simple docstring'''







									return tarfile.is_tarfile(lowercase			)






			@staticmethod
			def 				A      (   lowercase							:						Tuple ,      lowercase							:						List[str]			)							->    int:

									'''simple docstring'''







									def resolved(lowercase							:						str			) -> str:
															return os.path.realpath(os.path.abspath(lowercase			)			)

									def badpath(lowercase							:						str ,      lowercase							:						str			) -> bool:
															# joinpath will ignore base if path is absolute
															return not resolved(os.path.join(lowercase ,      lowercase			)			).startswith(lowercase			)

									def badlink(lowercase							:						Optional[Any] ,      lowercase							:						str			) -> bool:
															# Links are interpreted relative to the directory containing the link
															UpperCamelCase__         = resolved(os.path.join(lowercase ,      os.path.dirname(info.name			)			)			)
															return badpath(info.linkname ,      base=lowercase			)

									UpperCamelCase__         = resolved(lowercase			)

									for finfo in members:
															if badpath(finfo.name ,      lowercase			):
																					logger.error(f"Extraction of {finfo.name} is blocked (illegal path)"			)
															elif finfo.issym() and badlink(lowercase ,      lowercase			):
																					logger.error(f"Extraction of {finfo.name} is blocked: Symlink to {finfo.linkname}"			)
															elif finfo.islnk() and badlink(lowercase ,      lowercase			):
																					logger.error(f"Extraction of {finfo.name} is blocked: Hard link to {finfo.linkname}"			)
															else:
																					yield finfo







			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str]			)							->    None:

									'''simple docstring'''







									os.makedirs(lowercase ,      exist_ok=lowercase			)
									UpperCamelCase__         = tarfile.open(lowercase			)
									tar_file.extractall(lowercase ,      members=TarExtractor.safemembers(lowercase ,      lowercase			)			)
									tar_file.close()
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							Optional[int]					     =					[B"\x1F\x8B"]






			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str]			)							->    None:

									'''simple docstring'''







									with gzip.open(lowercase ,      """rb"""			) as gzip_file:
															with open(lowercase ,      """wb"""			) as extracted_file:
																					shutil.copyfileobj(lowercase ,      lowercase			)
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							str					     =					[
			    B"PK\x03\x04",
			    B"PK\x05\x06",  # empty archive
			    B"PK\x07\x08",  # spanned archive
			]






			@classmethod
			def 				A      (   cls							:						List[Any] ,      lowercase							:						Union[Path, str] ,      lowercase							:						bytes = b""			)							->    bool:

									'''simple docstring'''







									if super().is_extractable(lowercase ,      magic_number=lowercase			):
															return True
									try:
															# Alternative version of zipfile.is_zipfile that has less false positives, but misses executable zip archives.
															# From: https://github.com/python/cpython/pull/5053
															from zipfile import (
															    _CD_SIGNATURE,
															    _ECD_DISK_NUMBER,
															    _ECD_DISK_START,
															    _ECD_ENTRIES_TOTAL,
															    _ECD_OFFSET,
															    _ECD_SIZE,
															    _EndRecData,
															    sizeCentralDir,
															    stringCentralDir,
															    structCentralDir,
															)

															with open(lowercase ,      """rb"""			) as fp:
																					UpperCamelCase__         = _EndRecData(lowercase			)
																					if endrec:
																											if endrec[_ECD_ENTRIES_TOTAL] == 0 and endrec[_ECD_SIZE] == 0 and endrec[_ECD_OFFSET] == 0:
																																	return True  # Empty zipfiles are still zipfiles
																											elif endrec[_ECD_DISK_NUMBER] == endrec[_ECD_DISK_START]:
																																	fp.seek(endrec[_ECD_OFFSET]			)  # Central directory is on the same disk
																																	if fp.tell() == endrec[_ECD_OFFSET] and endrec[_ECD_SIZE] >= sizeCentralDir:
																																							UpperCamelCase__         = fp.read(lowercase			)  # CD is where we expect it to be
																																							if len(lowercase			) == sizeCentralDir:
																																													UpperCamelCase__         = struct.unpack(lowercase ,      lowercase			)  # CD is the right size
																																													if centdir[_CD_SIGNATURE] == stringCentralDir:
																																																			return True  # First central directory entry  has correct magic number
															return False
									except Exception:  # catch all errors in case future python versions change the zipfile internals
															return False







			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str]			)							->    None:

									'''simple docstring'''







									os.makedirs(lowercase ,      exist_ok=lowercase			)
									with zipfile.ZipFile(lowercase ,      """r"""			) as zip_file:
															zip_file.extractall(lowercase			)
															zip_file.close()
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							Optional[Any]					     =					[B"\xFD\x37\x7A\x58\x5A\x00"]






			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str]			)							->    None:

									'''simple docstring'''







									with lzma.open(lowercase			) as compressed_file:
															with open(lowercase ,      """wb"""			) as extracted_file:
																					shutil.copyfileobj(lowercase ,      lowercase			)
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							Optional[Any]					     =					[B"Rar!\x1a\x07\x00", B"Rar!\x1a\x07\x01\x00"]  # RAR_ID  # RAR5_ID






			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str]			)							->    None:

									'''simple docstring'''







									if not config.RARFILE_AVAILABLE:
															raise ImportError("""Please pip install rarfile"""			)
									import rarfile

									os.makedirs(lowercase ,      exist_ok=lowercase			)
									UpperCamelCase__         = rarfile.RarFile(lowercase			)
									rf.extractall(lowercase			)
									rf.close()
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							int					     =					[B"\x28\xb5\x2F\xFD"]






			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str]			)							->    None:

									'''simple docstring'''







									if not config.ZSTANDARD_AVAILABLE:
															raise ImportError("""Please pip install zstandard"""			)
									import zstandard as zstd

									UpperCamelCase__         = zstd.ZstdDecompressor()
									with open(lowercase ,      """rb"""			) as ifh, open(lowercase ,      """wb"""			) as ofh:
															dctx.copy_stream(lowercase ,      lowercase			)
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							int					     =					[B"\x42\x5A\x68"]






			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str]			)							->    None:

									'''simple docstring'''







									with bza.open(lowercase ,      """rb"""			) as compressed_file:
															with open(lowercase ,      """wb"""			) as extracted_file:
																					shutil.copyfileobj(lowercase ,      lowercase			)
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							Tuple					     =					[B"\x37\x7A\xBC\xAF\x27\x1C"]






			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str]			)							->    None:

									'''simple docstring'''







									if not config.PY7ZR_AVAILABLE:
															raise ImportError("""Please pip install py7zr"""			)
									import pyazr

									os.makedirs(lowercase ,      exist_ok=lowercase			)
									with pyazr.SevenZipFile(lowercase ,      """r"""			) as archive:
															archive.extractall(lowercase			)
class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			__a							:							Any					     =					[B"\x04\x22\x4D\x18"]






			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str]			)							->    None:

									'''simple docstring'''







									if not config.LZ4_AVAILABLE:
															raise ImportError("""Please pip install lz4"""			)
									import lza.frame

									with lza.frame.open(lowercase ,      """rb"""			) as compressed_file:
															with open(lowercase ,      """wb"""			) as extracted_file:
																					shutil.copyfileobj(lowercase ,      lowercase			)
class    _SCREAMING_SNAKE_CASE							:


			'''simple docstring'''





			__a							:							Dict[str, Type[BaseExtractor]]					     =					{
			    "tar": TarExtractor,
			    "gzip": GzipExtractor,
			    "zip": ZipExtractor,
			    "xz": XzExtractor,
			    "rar": RarExtractor,
			    "zstd": ZstdExtractor,
			    "bz2": BzipaExtractor,
			    "7z": SevenZipExtractor,  # <Added version="2.4.0"/>
			    "lz4": LzaExtractor,  # <Added version="2.4.0"/>
			}






			@classmethod
			def 				A      (   cls							:						Any			)							->    Optional[int]:

									'''simple docstring'''







									return max(
									    len(lowercase			)
									    for extractor in cls.extractors.values()
									    if issubclass(lowercase ,      lowercase			)
									    for extractor_magic_number in extractor.magic_numbers			)






			@staticmethod
			def 				A      (   lowercase							:						Union[Path, str] ,      lowercase							:						int			)							->    Dict:

									'''simple docstring'''







									try:
															return MagicNumberBaseExtractor.read_magic_number(lowercase ,      magic_number_length=lowercase			)
									except OSError:
															return b""






			@classmethod
			def 				A      (   cls							:						Union[str, Any] ,      lowercase							:						Union[Path, str] ,      lowercase							:						bool = False			)							->    bool:

									'''simple docstring'''







									warnings.warn(
									    """Method 'is_extractable' was deprecated in version 2.4.0 and will be removed in 3.0.0. """
									    """Use 'infer_extractor_format' instead.""" ,      category=lowercase ,      )
									UpperCamelCase__         = cls.infer_extractor_format(lowercase			)
									if extractor_format:
															return True if not return_extractor else (True, cls.extractors[extractor_format])
									return False if not return_extractor else (False, None)






			@classmethod
			def 				A      (   cls							:						Optional[Any] ,      lowercase							:						Union[Path, str]			)							->    str:  # <Added version="2.4.0"/>

									'''simple docstring'''







									UpperCamelCase__         = cls._get_magic_number_max_length()
									UpperCamelCase__         = cls._read_magic_number(lowercase ,      lowercase			)
									for extractor_format, extractor in cls.extractors.items():
															if extractor.is_extractable(lowercase ,      magic_number=lowercase			):
																					return extractor_format







			@classmethod
			def 				A      (   cls							:						List[Any] ,      lowercase							:						Union[Path, str] ,      lowercase							:						Union[Path, str] ,      lowercase							:						Optional[str] = None ,      lowercase							:						Optional[BaseExtractor] = "deprecated" ,      )							->    None:

									'''simple docstring'''







									os.makedirs(os.path.dirname(lowercase			) ,      exist_ok=lowercase			)
									# Prevent parallel extractions
									UpperCamelCase__         = str(Path(lowercase			).with_suffix(""".lock"""			)			)
									with FileLock(lowercase			):
															shutil.rmtree(lowercase ,      ignore_errors=lowercase			)
															if extractor_format or extractor != "deprecated":
																					if extractor != "deprecated" or not isinstance(lowercase ,      lowercase			):  # passed as positional arg
																											warnings.warn(
																											    """Parameter 'extractor' was deprecated in version 2.4.0 and will be removed in 3.0.0. """
																											    """Use 'extractor_format' instead.""" ,      category=lowercase ,      )
																											UpperCamelCase__         = extractor if extractor != """deprecated""" else extractor_format
																					else:
																											UpperCamelCase__         = cls.extractors[extractor_format]
																					return extractor.extract(lowercase ,      lowercase			)
															else:
																					warnings.warn(
																					    """Parameter 'extractor_format' was made required in version 2.4.0 and not passing it will raise an """
																					    """exception in 3.0.0.""" ,      category=lowercase ,      )
																					for extractor in cls.extractors.values():
																											if extractor.is_extractable(lowercase			):
																																	return extractor.extract(lowercase ,      lowercase			)








'''simple docstring'''


from typing import List, Optional, Tuple, Union

import PIL
import torch
from torchvision import transforms

from diffusers.pipeline_utils import DiffusionPipeline, ImagePipelineOutput
from diffusers.schedulers import DDIMScheduler
from diffusers.utils import randn_tensor


lowerCamelCase_				: str    	=							transforms.Compose(
    [
        transforms.Resize((256, 256)),
        transforms.ToTensor(),
        transforms.Normalize([0.5], [0.5]),
    ]
)







def 	__magic_name__( _A					):
						'''simple docstring'''





						if isinstance(_A						,      torch.Tensor					):
												return image
						elif isinstance(_A						,      PIL.Image.Image					):
												UpperCamelCase__         = [image]

						UpperCamelCase__         = [trans(img.convert("""RGB"""					)					) for img in image]
						UpperCamelCase__         = torch.stack(_A					)
						return image







class    _SCREAMING_SNAKE_CASE							(		SCREAMING_SNAKE_CASE	):


			'''simple docstring'''





			def __init__(   self							:						Tuple ,      lowercase							:						Dict ,      lowercase							:						Optional[Any]			)							->    Any:

									'''simple docstring'''







									super().__init__()

									# make sure scheduler can always be converted to DDIM
									UpperCamelCase__         = DDIMScheduler.from_config(scheduler.config			)

									self.register_modules(unet=lowercase ,      scheduler=lowercase			)






			def 				A      (   self							:						Tuple ,      lowercase							:						Tuple			)							->    Any:

									'''simple docstring'''







									if strength < 0 or strength > 1:
															raise ValueError(f"The value of strength should in [0.0, 1.0] but is {strength}"			)






			def 				A      (   self							:						str ,      lowercase							:						List[Any] ,      lowercase							:						Dict ,      lowercase							:						List[str]			)							->    str:

									'''simple docstring'''







									UpperCamelCase__         = min(int(num_inference_steps * strength			) ,      lowercase			)

									UpperCamelCase__         = max(num_inference_steps - init_timestep ,      0			)
									UpperCamelCase__         = self.scheduler.timesteps[t_start:]

									return timesteps, num_inference_steps - t_start






			def 				A      (   self							:						Union[str, Any] ,      lowercase							:						Optional[Any] ,      lowercase							:						Any ,      lowercase							:						Union[str, Any] ,      lowercase							:						Dict ,      lowercase							:						Tuple ,      lowercase							:						int=None			)							->    int:

									'''simple docstring'''







									if not isinstance(lowercase ,      (torch.Tensor, PIL.Image.Image, list)			):
															raise ValueError(
															    f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(lowercase			)}"			)

									UpperCamelCase__         = image.to(device=lowercase ,      dtype=lowercase			)

									if isinstance(lowercase ,      lowercase			) and len(lowercase			) != batch_size:
															raise ValueError(
															    f"You have passed a list of generators of length {len(lowercase			)}, but requested an effective batch"
															    f" size of {batch_size}. Make sure the batch size matches the length of the generators."			)

									UpperCamelCase__         = init_latents.shape
									UpperCamelCase__         = randn_tensor(lowercase ,      generator=lowercase ,      device=lowercase ,      dtype=lowercase			)

									# get latents
									print("""add noise to latents at timestep""" ,      lowercase			)
									UpperCamelCase__         = self.scheduler.add_noise(lowercase ,      lowercase ,      lowercase			)
									UpperCamelCase__         = init_latents

									return latents







			@torch.no_grad()
			def __call__(   self							:						Any ,      lowercase							:						Union[torch.FloatTensor, PIL.Image.Image] = None ,      lowercase							:						float = 0.8 ,      lowercase							:						int = 1 ,      lowercase							:						Optional[Union[torch.Generator, List[torch.Generator]]] = None ,      lowercase							:						float = 0.0 ,      lowercase							:						int = 5_0 ,      lowercase							:						Optional[bool] = None ,      lowercase							:						Optional[str] = "pil" ,      lowercase							:						bool = True ,      )							->    Union[ImagePipelineOutput, Tuple]:

									'''simple docstring'''







									self.check_inputs(lowercase			)

									# 2. Preprocess image
									UpperCamelCase__         = preprocess(lowercase			)

									# 3. set timesteps
									self.scheduler.set_timesteps(lowercase ,      device=self.device			)
									UpperCamelCase__    ,   UpperCamelCase__         = self.get_timesteps(lowercase ,      lowercase ,      self.device			)
									UpperCamelCase__         = timesteps[:1].repeat(lowercase			)

									# 4. Prepare latent variables
									UpperCamelCase__         = self.prepare_latents(lowercase ,      lowercase ,      lowercase ,      self.unet.dtype ,      self.device ,      lowercase			)
									UpperCamelCase__         = latents

									# 5. Denoising loop
									for t in self.progress_bar(lowercase			):
															# 1. predict noise model_output
															UpperCamelCase__         = self.unet(lowercase ,      lowercase			).sample

															# 2. predict previous mean of image x_t-1 and add variance depending on eta
															# eta corresponds to η in paper and should be between [0, 1]
															# do x_t -> x_t-1
															UpperCamelCase__         = self.scheduler.step(
															    lowercase ,      lowercase ,      lowercase ,      eta=lowercase ,      use_clipped_model_output=lowercase ,      generator=lowercase ,      ).prev_sample

									UpperCamelCase__         = (image / 2 + 0.5).clamp(0 ,      1			)
									UpperCamelCase__         = image.cpu().permute(0 ,      2 ,      3 ,      1			).numpy()
									if output_type == "pil":
															UpperCamelCase__         = self.numpy_to_pil(lowercase			)

									if not return_dict:
															return (image, latent_timestep.item())

									return ImagePipelineOutput(images=lowercase			)
