




import argparse
import os
import re

import packaging.version


__A        =    "examples/"
__A        =    {
    "examples": (re.compile(R"^check_min_version\(\"[^\"]+\"\)\s*$", re.MULTILINE), "check_min_version(\"VERSION\")\n"),
    "init": (re.compile(R"^__version__\s+=\s+\"([^\"]+)\"\s*$", re.MULTILINE), "__version__ = \"VERSION\"\n"),
    "setup": (re.compile(R"^(\s*)version\s*=\s*\"[^\"]+\",", re.MULTILINE), R"\1version=\"VERSION\","),
    "doc": (re.compile(R"^(\s*)release\s*=\s*\"[^\"]+\"$", re.MULTILINE), "release = \"VERSION\"\n"),
}
__A        =    {
    "init": "src/diffusers/__init__.py",
    "setup": "setup.py",
}
__A        =    "README.md"







def 			lowerCamelCase_		(       UpperCamelCase__				:      List[Any] ,     UpperCamelCase__				:      Dict ,     UpperCamelCase__				:      Optional[Any]      )     ->       Optional[Any]:





				"""simple docstring"""


				with open(UpperCamelCase__ ,     'r' ,     encoding='utf-8' ,     newline='\n'      ) as f:
								__lowerCamelCase		       =    f.read()
				__lowerCamelCase       ,						__lowerCamelCase		       =    REPLACE_PATTERNS[pattern]
				__lowerCamelCase		       =    replace.replace('VERSION' ,     UpperCamelCase__      )
				__lowerCamelCase		       =    re_pattern.sub(UpperCamelCase__ ,     UpperCamelCase__      )
				with open(UpperCamelCase__ ,     'w' ,     encoding='utf-8' ,     newline='\n'      ) as f:
								f.write(UpperCamelCase__      )







def 			lowerCamelCase_		(       UpperCamelCase__				:      str      )     ->       Optional[Any]:





				"""simple docstring"""


				for folder, directories, fnames in os.walk(UpperCamelCase__      ):
								# Removing some of the folders with non-actively maintained examples from the walk
								if "research_projects" in directories:
												directories.remove('research_projects'      )
								if "legacy" in directories:
												directories.remove('legacy'      )
								for fname in fnames:
												if fname.endswith('.py'      ):
																update_version_in_file(os.path.join(UpperCamelCase__ ,     UpperCamelCase__      ) ,     UpperCamelCase__ ,     pattern='examples'      )







def 			lowerCamelCase_		(       UpperCamelCase__				:      int ,     UpperCamelCase__				:      List[str]=False      )     ->       List[Any]:





				"""simple docstring"""


				for pattern, fname in REPLACE_FILES.items():
								update_version_in_file(UpperCamelCase__ ,     UpperCamelCase__ ,     UpperCamelCase__      )
				if not patch:
								update_version_in_examples(UpperCamelCase__      )







def 			lowerCamelCase_		(       )     ->       Dict:





				"""simple docstring"""


				__lowerCamelCase		       =    '🤗 Transformers currently provides the following architectures'
				__lowerCamelCase		       =    '1. Want to contribute a new model?'
				with open(UpperCamelCase__ ,     'r' ,     encoding='utf-8' ,     newline='\n'      ) as f:
								__lowerCamelCase		       =    f.readlines()

				# Find the start of the list.
				__lowerCamelCase		       =    0
				while not lines[start_index].startswith(_start_prompt      ):
								start_index += 1
				start_index += 1

				__lowerCamelCase		       =    start_index
				# Update the lines in the model list.
				while not lines[index].startswith(_end_prompt      ):
								if lines[index].startswith('1.'      ):
												__lowerCamelCase		       =    lines[index].replace(
												    'https://huggingface.co/docs/diffusers/main/model_doc' ,     'https://huggingface.co/docs/diffusers/model_doc' ,     )
								index += 1

				with open(UpperCamelCase__ ,     'w' ,     encoding='utf-8' ,     newline='\n'      ) as f:
								f.writelines(UpperCamelCase__      )







def 			lowerCamelCase_		(       )     ->       List[str]:





				"""simple docstring"""


				with open(REPLACE_FILES['init'] ,     'r'      ) as f:
								__lowerCamelCase		       =    f.read()
				__lowerCamelCase		       =    REPLACE_PATTERNS['init'][0].search(UpperCamelCase__      ).groups()[0]
				return packaging.version.parse(UpperCamelCase__      )







def 			lowerCamelCase_		(       UpperCamelCase__				:      str=False      )     ->       Any:





				"""simple docstring"""


				__lowerCamelCase		       =    get_version()
				if patch and default_version.is_devrelease:
								raise ValueError('Can\'t create a patch version from the dev branch, checkout a released version!'      )
				if default_version.is_devrelease:
								__lowerCamelCase		       =    default_version.base_version
				elif patch:
								__lowerCamelCase		       =    F"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
				else:
								__lowerCamelCase		       =    F"""{default_version.major}.{default_version.minor + 1}.0"""

				# Now let's ask nicely if that's the right one.
				__lowerCamelCase		       =    input(F"""Which version are you releasing? [{default_version}]"""      )
				if len(UpperCamelCase__      ) == 0:
								__lowerCamelCase		       =    default_version

				print(F"""Updating version to {version}."""      )
				global_version_update(UpperCamelCase__ ,     patch=UpperCamelCase__      )







def 			lowerCamelCase_		(       )     ->       Tuple:





				"""simple docstring"""


				__lowerCamelCase		       =    get_version()
				__lowerCamelCase		       =    F"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
				__lowerCamelCase		       =    current_version.base_version

				# Check with the user we got that right.
				__lowerCamelCase		       =    input(F"""Which version are we developing now? [{dev_version}]"""      )
				if len(UpperCamelCase__      ) == 0:
								__lowerCamelCase		       =    dev_version

				print(F"""Updating version to {version}."""      )
				global_version_update(UpperCamelCase__      )


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
					__A        =    argparse.ArgumentParser()
					parser.add_argument("--post_release", action="store_true", help="Whether this is pre or post release.")
					parser.add_argument("--patch", action="store_true", help="Whether or not this is a patch release.")
					__A        =    parser.parse_args()
					if not args.post_release:
										pre_release_work(patch=args.patch)
					elif args.patch:
										print("Nothing to do after a patch :-)")
					else:
										post_release_work()







#
# This a `torch.distributed` diagnostics script that checks that all GPUs in the cluster (one or
# many nodes) can talk to each other via nccl and allocate gpu memory.
#
# To run first adjust the number of processes and nodes:
#
# python -m torch.distributed.run --nproc_per_node 2 --nnodes 1 torch-distributed-gpu-test.py
#
# You may need to add --master_addr $MASTER_ADDR --master_port $MASTER_PORT if using a custom addr:port
#
# You can also use the rdzv API: --rdzv_endpoint $MASTER_ADDR:$MASTER_PORT --rdzv_backend c10d
#
# use torch.distributed.launch instead of torch.distributed.run for torch < 1.9
#
# If you get a hanging in `barrier` calls you have some network issues, you may try to debug this with:
#
# NCCL_DEBUG=INFO python -m torch.distributed.run --nproc_per_node 2 --nnodes 1 torch-distributed-gpu-test.py
#
# which should tell you what's going on behind the scenes.
#
#
# This script can be run via `srun` in the SLURM environment as well. Here is a SLURM script that
# runs on 2 nodes of 4 gpus per node:
#
# #SBATCH --job-name=test-nodes        # name
# #SBATCH --nodes=2                    # nodes
# #SBATCH --ntasks-per-node=1          # crucial - only 1 task per dist per node!
# #SBATCH --cpus-per-task=10           # number of cores per tasks
# #SBATCH --gres=gpu:4                 # number of gpus
# #SBATCH --time 0:05:00               # maximum execution time (HH:MM:SS)
# #SBATCH --output=%x-%j.out           # output file name
#
# GPUS_PER_NODE=4
# MASTER_ADDR=$(scontrol show hostnames $SLURM_JOB_NODELIST | head -n 1)
# MASTER_PORT=6000
#
# srun --jobid $SLURM_JOBID bash -c 'python -m torch.distributed.run \
# --nproc_per_node $GPUS_PER_NODE --nnodes $SLURM_NNODES --node_rank $SLURM_PROCID \
# --master_addr $MASTER_ADDR --master_port $MASTER_PORT \
# torch-distributed-gpu-test.py'
#

import fcntl
import os
import socket

import torch
import torch.distributed as dist

def        a						(      *_UpperCAmelCase							:					List[str]						):







		'''simple docstring'''





		with open(_UpperCAmelCase ,   '''r'''						) as fh:
				fcntl.flock(_UpperCAmelCase ,   fcntl.LOCK_EX						)
				try:
						print(*_UpperCAmelCase						)
				finally:
						fcntl.flock(_UpperCAmelCase ,   fcntl.LOCK_UN						)


__A   			=int(os.environ["LOCAL_RANK"])
torch.cuda.set_device(local_rank)
__A   			=torch.device("cuda", local_rank)
__A   			=socket.gethostname()

__A   			=f'''[{hostname}-{local_rank}]'''

try:
				# test distributed
				dist.init_process_group("nccl")
				dist.all_reduce(torch.ones(1).to(device), op=dist.ReduceOp.SUM)
				dist.barrier()

				# test cuda is available and can allocate memory
				torch.cuda.is_available()
				torch.ones(1).cuda(local_rank)

				# global rank
				__A   			=dist.get_rank()
				__A   			=dist.get_world_size()

				printflock(f'''{gpu} is OK (global rank: {rank}/{world_size})''')

				dist.barrier()
				if rank == 0:
								printflock(f'''pt={torch.__version__}, cuda={torch.version.cuda}, nccl={torch.cuda.nccl.version()}''')

except Exception:
				printflock(f'''{gpu} is broken''')
				raise





