"""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


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


UpperCamelCase     					=     'lfs-multipart-upload'
class   UpperCAmelCase__				(    __lowerCamelCase			):


	"""simple docstring"""







	@staticmethod
	def       A    (			_SCREAMING_SNAKE_CASE )    ->	Tuple:
							a_							:			Optional[int]     		=					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=_SCREAMING_SNAKE_CASE       ,     help="Local path to repository you want to configure." )
							enable_parser.set_defaults(func=lambda _SCREAMING_SNAKE_CASE : LfsEnableCommand(_SCREAMING_SNAKE_CASE ) )

							a_							:			List[Any]     		=					parser.add_parser(
							    _SCREAMING_SNAKE_CASE       ,     help=(
							        "Deprecated: use `huggingface-cli` instead. "
							        "Command will get called by git-lfs, do not call it directly."
							    )       ,     )
							upload_parser.set_defaults(func=lambda _SCREAMING_SNAKE_CASE : LfsUploadCommand(_SCREAMING_SNAKE_CASE ) )




class   UpperCAmelCase__				:


	"""simple docstring"""







	def __init__(			self       ,     _SCREAMING_SNAKE_CASE )    ->	List[Any]:
							a_							:			Tuple     		=					args







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




def  lowerCAmelCase_      (_SCREAMING_SNAKE_CASE	:Dict  )				-> int:
						a_							:			List[str]     		=					json.dumps(_SCREAMING_SNAKE_CASE  ) + "\n"
						sys.stdout.write(_SCREAMING_SNAKE_CASE  )
						sys.stdout.flush()

def  lowerCAmelCase_      ()				-> Optional[Dict]:
						a_							:			Tuple     		=					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   UpperCAmelCase__				(    __lowerCamelCase			):


	"""simple docstring"""







	def __init__(			self       ,     _SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE )    ->	int:
							a_							:			int     		=					filepath
							a_							:			int     		=					seek_from
							a_							:			List[Any]     		=					read_limit
							a_							:			Any     		=					0







	def __enter__(			self )    ->	Dict:
							a_							:			Optional[Any]     		=					open(self.filepath       ,     "rb" )
							self.f.seek(self.seek_from )
							return self







	def __len__(			self )    ->	Optional[Any]:
							a_							:			List[Any]     		=					os.fstat(self.f.fileno() ).st_size
							return min(self.read_limit       ,     total_length - self.seek_from )







	def       A    (			self       ,     _SCREAMING_SNAKE_CASE=-1 )    ->	List[str]:
							if self.n_seen >= self.read_limit:
													return b""
							a_							:			int     		=					self.read_limit - self.n_seen
							a_							:			int     		=					self.f.read(remaining_amount if n < 0 else min(_SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE ) )
							self.n_seen += len(_SCREAMING_SNAKE_CASE )
							return data







	def __iter__(			self )    ->	Dict:
							yield self.read(n=4 * 1_0_2_4 * 1_0_2_4 )







	def __exit__(			self       ,     *_SCREAMING_SNAKE_CASE )    ->	List[Any]:
							self.f.close()




class   UpperCAmelCase__				:


	"""simple docstring"""







	def __init__(			self       ,     _SCREAMING_SNAKE_CASE )    ->	int:
							a_							:			Tuple     		=					args







	def       A    (			self )    ->	List[Any]:
							# Immediately after invoking a custom transfer process, git-lfs
							# sends initiation data to the process over stdin.
							# This tells the process useful information about the configuration.
							a_							:			str     		=					json.loads(sys.stdin.readline().strip() )
							if not (init_msg.get("event" ) == "init" and init_msg.get("operation" ) == "upload"):
													write_msg({"error": {"code": 3_2, "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:
													a_							:			Tuple     		=					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 )

													a_							:			Optional[int]     		=					msg["oid"]
													a_							:			List[str]     		=					msg["path"]
													a_							:			Optional[int]     		=					msg["action"]["href"]
													a_							:			List[str]     		=					msg["action"]["header"]
													a_							:			List[Any]     		=					int(header.pop("chunk_size" ) )
													a_							:			List[str]     		=					list(header.values() )

													a_							:			Union[str, Any]     		=					[]
													for i, presigned_url in enumerate(_SCREAMING_SNAKE_CASE ):
																			with FileSlice(_SCREAMING_SNAKE_CASE       ,     seek_from=i * chunk_size       ,     read_limit=_SCREAMING_SNAKE_CASE ) as data:
																									a_							:			Union[str, Any]     		=					requests.put(_SCREAMING_SNAKE_CASE       ,     data=_SCREAMING_SNAKE_CASE )
																									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.

													a_							:			str     		=					requests.post(
													    _SCREAMING_SNAKE_CASE       ,     json={
													        "oid": oid,
													        "parts": parts,
													    }       ,     )
													r.raise_for_status()

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





"""simple docstring"""






import unittest

import torch

from diffusers import DDIMScheduler, TextToVideoZeroPipeline
from diffusers.utils import load_pt, require_torch_gpu, slow

from ..test_pipelines_common import assert_mean_pixel_difference
@slow
@require_torch_gpu
class   UpperCAmelCase__				(    unittest.TestCase			):


	"""simple docstring"""







	def       A    (			self )    ->	List[str]:
							a_							:			List[str]     		=					"runwayml/stable-diffusion-v1-5"
							a_							:			Optional[int]     		=					TextToVideoZeroPipeline.from_pretrained(_SCREAMING_SNAKE_CASE       ,     torch_dtype=torch.floataa ).to("cuda" )
							a_							:			Dict     		=					DDIMScheduler.from_config(pipe.scheduler.config )
							a_							:			Optional[Any]     		=					torch.Generator(device="cuda" ).manual_seed(0 )

							a_							:			List[Any]     		=					"A bear is playing a guitar on Times Square"
							a_							:			List[Any]     		=					pipe(prompt=_SCREAMING_SNAKE_CASE       ,     generator=_SCREAMING_SNAKE_CASE ).images

							a_							:			Optional[int]     		=					load_pt(
							    "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt" )

							assert_mean_pixel_difference(_SCREAMING_SNAKE_CASE       ,     _SCREAMING_SNAKE_CASE )




