


"""simple docstring"""



from typing import List, Optional, Tuple, Union

import torch

from ...utils import randn_tensor
from ..pipeline_utils import DiffusionPipeline, ImagePipelineOutput







class       __a	(   __snake_case       ):







				def __init__(   self			,  UpperCAmelCase			,  UpperCAmelCase      ):

					'''simple docstring'''






					super().__init__()
					self.register_modules(unet=UpperCAmelCase			,  scheduler=UpperCAmelCase      )







				@torch.no_grad()
				def __call__(   self			,  UpperCAmelCase = 1			,  UpperCAmelCase = None			,  UpperCAmelCase = 1000			,  UpperCAmelCase = "pil"			,  UpperCAmelCase = True			,  ):

					'''simple docstring'''






					if isinstance(self.unet.config.sample_size			,  UpperCAmelCase      ):
						lowerCAmelCase_			       = (
						    batch_size,
						    self.unet.config.in_channels,
						    self.unet.config.sample_size,
						    self.unet.config.sample_size,
						)
					else:
						lowerCAmelCase_			       = (batch_size, self.unet.config.in_channels, *self.unet.config.sample_size)

					if self.device.type == "mps":
						# randn does not work reproducibly on mps
						lowerCAmelCase_			       = randn_tensor(UpperCAmelCase			,  generator=UpperCAmelCase      )
						lowerCAmelCase_			       = image.to(self.device      )
					else:
						lowerCAmelCase_			       = randn_tensor(UpperCAmelCase			,  generator=UpperCAmelCase			,  device=self.device      )

					# set step values
					self.scheduler.set_timesteps(UpperCAmelCase      )

					for t in self.progress_bar(self.scheduler.timesteps      ):
						# 1. predict noise model_output
						lowerCAmelCase_			       = self.unet(UpperCAmelCase			,  UpperCAmelCase      ).sample

						# 2. compute previous image: x_t -> x_t-1
						lowerCAmelCase_			       = self.scheduler.step(UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase			,  generator=UpperCAmelCase      ).prev_sample

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

					if not return_dict:
						return (image,)

					return ImagePipelineOutput(images=UpperCAmelCase      )



"""simple docstring"""



import json
import os
import subprocess
import sys
import warnings
from argparse import ArgumentParser
from contextlib import AbstractContextManager
from typing import Dict, List, Optional

import requests

from ..utils import logging
from . import BaseTransformersCLICommand


lowercase_							 =       logging.get_logger(__name__)  # pylint: disable=invalid-name


lowercase_							 =       'lfs-multipart-upload'







class       __a	(   __snake_case       ):







				@staticmethod
				def     lowerCamelCase_    (   UpperCAmelCase      ):

					'''simple docstring'''






					lowerCAmelCase_			       = parser.add_parser(
					    '''lfs-enable-largefiles'''			,  help=(
					        '''Deprecated: use `huggingface-cli` instead. Configure your repository to enable upload of files > 5GB.'''
					    )			,  )
					enable_parser.add_argument('''path'''			,  type=UpperCAmelCase			,  help='''Local path to repository you want to configure.'''      )
					enable_parser.set_defaults(func=lambda UpperCAmelCase      : LfsEnableCommand(UpperCAmelCase      )      )

					lowerCAmelCase_			       = parser.add_parser(
					    UpperCAmelCase			,  help=(
					        '''Deprecated: use `huggingface-cli` instead. '''
					        '''Command will get called by git-lfs, do not call it directly.'''
					    )			,  )
					upload_parser.set_defaults(func=lambda UpperCAmelCase      : LfsUploadCommand(UpperCAmelCase      )      )







class       __a	:







				def __init__(   self			,  UpperCAmelCase      ):

					'''simple docstring'''






					lowerCAmelCase_			       = args







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					warnings.warn(
					    '''Managing repositories through transformers-cli is deprecated. Please use `huggingface-cli` instead.'''      )
					lowerCAmelCase_			       = os.path.abspath(self.args.path      )
					if not os.path.isdir(UpperCAmelCase      ):
						print('''This does not look like a valid git repo.'''      )
						exit(1      )
					subprocess.run(
					    '''git config lfs.customtransfer.multipart.path transformers-cli'''.split()			,  check=UpperCAmelCase			,  cwd=UpperCAmelCase      )
					subprocess.run(
					    F"""git config lfs.customtransfer.multipart.args {LFS_MULTIPART_UPLOAD_COMMAND}""".split()			,  check=UpperCAmelCase			,  cwd=UpperCAmelCase			,  )
					print('''Local repo set up for largefiles'''      )




def     UpperCAmelCase    (					_lowercase   :      Dict  )	->   str:


	"""simple docstring"""




	lowerCAmelCase_			       = json.dumps(_lowercase  ) + '''\n'''
	sys.stdout.write(_lowercase  )
	sys.stdout.flush()
def     UpperCAmelCase    (					)	->   Optional[Dict]:


	"""simple docstring"""




	lowerCAmelCase_			       = json.loads(sys.stdin.readline().strip()  )

	if "terminate" in (msg.get('''type'''  ), msg.get('''event'''  )):
		# terminate message received
		return None

	if msg.get('''event'''  ) not in ("download", "upload"):
		logger.critical('''Received unexpected message'''  )
		sys.exit(1  )

	return msg







class       __a	(   __snake_case       ):







				def __init__(   self			,  UpperCAmelCase			,  UpperCAmelCase			,  UpperCAmelCase      ):

					'''simple docstring'''






					lowerCAmelCase_			       = filepath
					lowerCAmelCase_			       = seek_from
					lowerCAmelCase_			       = read_limit
					lowerCAmelCase_			       = 0







				def __enter__(   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = open(self.filepath			,  '''rb'''      )
					self.f.seek(self.seek_from      )
					return self







				def __len__(   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = os.fstat(self.f.fileno()      ).st_size
					return min(self.read_limit			,  total_length - self.seek_from      )







				def     lowerCamelCase_    (   self			,  UpperCAmelCase=-1      ):

					'''simple docstring'''






					if self.n_seen >= self.read_limit:
						return b""
					lowerCAmelCase_			       = self.read_limit - self.n_seen
					lowerCAmelCase_			       = self.f.read(remaining_amount if n < 0 else min(UpperCAmelCase			,  UpperCAmelCase      )      )
					self.n_seen += len(UpperCAmelCase      )
					return data







				def __iter__(   self      ):

					'''simple docstring'''






					yield self.read(n=4 * 1024 * 1024      )







				def __exit__(   self			,  *UpperCAmelCase      ):

					'''simple docstring'''






					self.f.close()







class       __a	:







				def __init__(   self			,  UpperCAmelCase      ):

					'''simple docstring'''






					lowerCAmelCase_			       = args







				def     lowerCamelCase_    (   self      ):

					'''simple docstring'''






					lowerCAmelCase_			       = json.loads(sys.stdin.readline().strip()      )
					if not (init_msg.get('''event'''      ) == "init" and init_msg.get('''operation'''      ) == "upload"):
						write_msg({'''error''': {'''code''': 32, '''message''': '''Wrong lfs init operation'''}}      )
						sys.exit(1      )

					# The transfer process should use the information it needs from the
					# initiation structure, and also perform any one-off setup tasks it
					# needs to do. It should then respond on stdout with a simple empty
					# confirmation structure, as follows:
					write_msg({}      )

					# After the initiation exchange, git-lfs will send any number of
					# transfer requests to the stdin of the transfer process, in a serial sequence.
					while True:
						lowerCAmelCase_			       = read_msg()
						if msg is None:
							# When all transfers have been processed, git-lfs will send
							# a terminate event to the stdin of the transfer process.
							# On receiving this message the transfer process should
							# clean up and terminate. No response is expected.
							sys.exit(0      )

						lowerCAmelCase_			       = msg['''oid''']
						lowerCAmelCase_			       = msg['''path''']
						lowerCAmelCase_			       = msg['''action''']['''href''']
						lowerCAmelCase_			       = msg['''action''']['''header''']
						lowerCAmelCase_			       = int(header.pop('''chunk_size'''      )      )
						lowerCAmelCase_			       = list(header.values()      )

						lowerCAmelCase_			       = []
						for i, presigned_url in enumerate(UpperCAmelCase      ):
							with FileSlice(UpperCAmelCase			,  seek_from=i * chunk_size			,  read_limit=UpperCAmelCase      ) as data:
								lowerCAmelCase_			       = requests.put(UpperCAmelCase			,  data=UpperCAmelCase      )
								r.raise_for_status()
								parts.append(
								    {
								        '''etag''': r.headers.get('''etag'''      ),
								        '''partNumber''': i + 1,
								    }      )
								# In order to support progress reporting while data is uploading / downloading,
								# the transfer process should post messages to stdout
								write_msg(
								    {
								        '''event''': '''progress''',
								        '''oid''': oid,
								        '''bytesSoFar''': (i + 1) * chunk_size,
								        '''bytesSinceLast''': chunk_size,
								    }      )
								# Not precise but that's ok.

						lowerCAmelCase_			       = requests.post(
						    UpperCAmelCase			,  json={
						        '''oid''': oid,
						        '''parts''': parts,
						    }			,  )
						r.raise_for_status()

						write_msg({'''event''': '''complete''', '''oid''': oid}      )