





'''simple docstring'''







#
# Sort large text files in a minimum amount of memory
#
import argparse
import os


class    __a :
							__a   :				Union[str, Any]       =    "block_{0}.dat"

							def __init__(							self							:       Optional[int]    ,       __magic_name__							:       int				)   ->    Optional[Any]:







													"""simple docstring"""
													UpperCAmelCase_     : Optional[int]         =					filename
													UpperCAmelCase_     : str         =					[]

							def       UpperCAmelCase__		(							self							:       int    ,       __magic_name__							:       int    ,       __magic_name__							:       str				)   ->    Tuple:







													"""simple docstring"""
													UpperCAmelCase_     : List[Any]         =					self.BLOCK_FILENAME_FORMAT.format(__magic_name__				)
													with open(__magic_name__    ,       '''w'''				) as file:
																			file.write(__magic_name__				)
													self.block_filenames.append(__magic_name__				)

							def       UpperCAmelCase__		(							self							:       Optional[Any]				)   ->    int:







													"""simple docstring"""
													return self.block_filenames

							def       UpperCAmelCase__		(							self							:       List[str]    ,       __magic_name__							:       Dict    ,       __magic_name__							:       Dict=None				)   ->    List[Any]:







													"""simple docstring"""
													UpperCAmelCase_     : Any         =					0
													with open(self.filename				) as file:
																			while True:
																									UpperCAmelCase_     : List[Any]         =					file.readlines(__magic_name__				)

																									if lines == []:
																															break

																									if sort_key is None:
																															lines.sort()
																									else:
																															lines.sort(key=__magic_name__				)

																									self.write_block(''''''.join(__magic_name__				)    ,       __magic_name__				)
																									i += 1



							def       UpperCAmelCase__		(							self							:       str				)   ->    Optional[int]:







													"""simple docstring"""
													map(os.remove    ,       self.block_filenames				)





class    __a :

							def       UpperCAmelCase__		(							self							:       List[Any]    ,       __magic_name__							:       str				)   ->    int:







													"""simple docstring"""
													UpperCAmelCase_     : Dict         =					-1
													UpperCAmelCase_     : Optional[int]         =					None

													for i in range(len(__magic_name__				)				):
																			if min_str is None or choices[i] < min_str:
																									UpperCAmelCase_     : int         =					i

													return min_index





class    __a :

							def __init__(							self							:       Any    ,       __magic_name__							:       Optional[int]				)   ->    List[Any]:







													"""simple docstring"""
													UpperCAmelCase_     : Union[str, Any]         =					files
													UpperCAmelCase_     : int         =					set()
													UpperCAmelCase_     : int         =					len(__magic_name__				)
													UpperCAmelCase_     : Dict         =					{i: None for i in range(self.num_buffers				)}

							def       UpperCAmelCase__		(							self							:       Optional[int]				)   ->    Optional[Any]:







													"""simple docstring"""
													return {
													    i: self.buffers[i] for i in range(self.num_buffers				) if i not in self.empty
													}

							def       UpperCAmelCase__		(							self							:       int				)   ->    Any:







													"""simple docstring"""
													for i in range(self.num_buffers				):
																			if self.buffers[i] is None and i not in self.empty:
																									UpperCAmelCase_     : Optional[Any]         =					self.files[i].readline()

																									if self.buffers[i] == "":
																															self.empty.add(__magic_name__				)
																															self.files[i].close()

													if len(self.empty				) == self.num_buffers:
																			return False

													return True



							def       UpperCAmelCase__		(							self							:       Tuple    ,       __magic_name__							:       Dict				)   ->    List[str]:







													"""simple docstring"""
													UpperCAmelCase_     : Union[str, Any]         =					self.buffers[index]
													UpperCAmelCase_     : str         =					None

													return value





class    __a :

							def __init__(							self							:       Optional[int]    ,       __magic_name__							:       str				)   ->    Union[str, Any]:







													"""simple docstring"""
													UpperCAmelCase_     : List[str]         =					merge_strategy

							def       UpperCAmelCase__		(							self							:       str    ,       __magic_name__							:       int    ,       __magic_name__							:       Dict    ,       __magic_name__							:       Optional[int]				)   ->    str:







													"""simple docstring"""
													UpperCAmelCase_     : Optional[int]         =					FilesArray(self.get_file_handles(__magic_name__    ,       __magic_name__				)				)
													with open(__magic_name__    ,       '''w'''    ,       __magic_name__				) as outfile:
																			while buffers.refresh():
																									UpperCAmelCase_     : Union[str, Any]         =					self.merge_strategy.select(buffers.get_dict()				)
																									outfile.write(buffers.unshift(__magic_name__				)				)



							def       UpperCAmelCase__		(							self							:       Optional[Any]    ,       __magic_name__							:       Optional[Any]    ,       __magic_name__							:       int				)   ->    Union[str, Any]:







													"""simple docstring"""
													UpperCAmelCase_     : List[Any]         =					{}

													for i in range(len(__magic_name__				)				):
																			UpperCAmelCase_     : str         =					open(filenames[i]    ,       '''r'''    ,       __magic_name__				)  # noqa: UP015

													return files





class    __a :

							def __init__(							self							:       List[Any]    ,       __magic_name__							:       Tuple				)   ->    Optional[Any]:







													"""simple docstring"""
													UpperCAmelCase_     : Tuple         =					block_size

							def       UpperCAmelCase__		(							self							:       List[Any]    ,       __magic_name__							:       Optional[int]    ,       __magic_name__							:       Union[str, Any]=None				)   ->    Dict:







													"""simple docstring"""
													UpperCAmelCase_     : Optional[Any]         =					self.get_number_blocks(__magic_name__    ,       self.block_size				)
													UpperCAmelCase_     : List[str]         =					FileSplitter(__magic_name__				)
													splitter.split(self.block_size    ,       __magic_name__				)

													UpperCAmelCase_     : int         =					FileMerger(NWayMerge()				)
													UpperCAmelCase_     : Dict         =					self.block_size / (num_blocks + 1)
													merger.merge(splitter.get_block_filenames()    ,       filename + '''.out'''    ,       __magic_name__				)

													splitter.cleanup()



							def       UpperCAmelCase__		(							self							:       int    ,       __magic_name__							:       str    ,       __magic_name__							:       Tuple				)   ->    int:







													"""simple docstring"""
													return (os.stat(__magic_name__				).st_size / block_size) + 1





def     lowerCamelCase_ (					SCREAMING_SNAKE_CASE__ :     Optional[int]				)	->		List[Any]:
						if string[-1].lower() == "k":
												return int(string[:-1]				) * 1024
						elif string[-1].lower() == "m":
												return int(string[:-1]				) * 1024 * 1024
						elif string[-1].lower() == "g":
												return int(string[:-1]				) * 1024 * 1024 * 1024
						else:
												return int(SCREAMING_SNAKE_CASE__				)





def     lowerCamelCase_ (					)	->		List[str]:
						UpperCAmelCase_     : List[Any]         =					argparse.ArgumentParser()
						parser.add_argument(
						    '''-m''',     '''--mem''',     help='''amount of memory to use for sorting''',     default='''100M'''				)
						parser.add_argument(
						    '''filename''',     metavar='''<filename>''',     nargs=1,     help='''name of file to sort'''				)
						UpperCAmelCase_     : str         =					parser.parse_args()

						UpperCAmelCase_     : Optional[Any]         =					ExternalSort(parse_memory(args.mem				)				)
						sorter.sort(args.filename[0]				)


if __name__ == "__main__":
					main()












'''simple docstring'''







from typing import List, Optional, Tuple, Union

import torch

from ...models import UNetaDModel
from ...schedulers import PNDMScheduler
from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput


class    __a (lowerCamelCase       ):
							__a   :				UNetaDModel
							__a   :				PNDMScheduler

							def __init__(							self							:       Optional[Any]    ,       __magic_name__							:       UNetaDModel    ,       __magic_name__							:       PNDMScheduler				)   ->    Tuple:







													"""simple docstring"""
													super().__init__()

													UpperCAmelCase_     : Optional[int]         =					PNDMScheduler.from_config(scheduler.config				)

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



							@torch.no_grad()
							def __call__(							self							:       Union[str, Any]    ,       __magic_name__							:       int = 1    ,       __magic_name__							:       int = 50    ,       __magic_name__							:       Optional[Union[torch.Generator, List[torch.Generator]]] = None    ,       __magic_name__							:       Optional[str] = "pil"    ,       __magic_name__							:       bool = True    ,       **__magic_name__							:       Dict    ,       )   ->    Union[ImagePipelineOutput, Tuple]:







													"""simple docstring"""
													UpperCAmelCase_     : Dict         =					randn_tensor(
													    (batch_size, self.unet.config.in_channels, self.unet.config.sample_size, self.unet.config.sample_size)    ,       generator=__magic_name__    ,       device=self.device    ,       )

													self.scheduler.set_timesteps(__magic_name__				)
													for t in self.progress_bar(self.scheduler.timesteps				):
																			UpperCAmelCase_     : Optional[int]         =					self.unet(__magic_name__    ,       __magic_name__				).sample

																			UpperCAmelCase_     : str         =					self.scheduler.step(__magic_name__    ,       __magic_name__    ,       __magic_name__				).prev_sample

													UpperCAmelCase_     : int         =					(image / 2 + 0.5).clamp(0    ,       1				)
													UpperCAmelCase_     : Any         =					image.cpu().permute(0    ,       2    ,       3    ,       1				).numpy()
													if output_type == "pil":
																			UpperCAmelCase_     : Optional[int]         =					self.numpy_to_pil(__magic_name__				)

													if not return_dict:
																			return (image,)

													return ImagePipelineOutput(images=__magic_name__				)





