



"""simple docstring"""






import argparse
import os
import re

import packaging.version


__snake_case							:   List[str]      =    'examples/'
__snake_case							:   int      =    {
    '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'),
}
__snake_case							:   List[Any]      =    {
    'init': 'src/transformers/__init__.py',
    'setup': 'setup.py',
}
__snake_case							:   Any      =    'README.md'


def 			_lowercase				(  __snake_case					,__snake_case					,__snake_case	)						->   Optional[int]:
			with open(__snake_case					,"r"					,encoding="utf-8"					,newline="\n"	) as f:
						__lowerCAmelCase      :  List[str]												=       f.read()
			__lowerCAmelCase						,	__lowerCAmelCase      :  Optional[int]												=       REPLACE_PATTERNS[pattern]
			__lowerCAmelCase      :  Optional[int]												=       replace.replace("VERSION"					,__snake_case	)
			__lowerCAmelCase      :  Tuple												=       re_pattern.sub(__snake_case					,__snake_case	)
			with open(__snake_case					,"w"					,encoding="utf-8"					,newline="\n"	) as f:
						f.write(__snake_case	)


def 			_lowercase				(  __snake_case	)						->   Optional[int]:
			for folder, directories, fnames in os.walk(__snake_case	):
						# 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(__snake_case					,__snake_case	)					,__snake_case					,pattern="examples"	)


def 			_lowercase				(  __snake_case					,__snake_case=False	)						->   List[Any]:
			for pattern, fname in REPLACE_FILES.items():
						update_version_in_file(__snake_case					,__snake_case					,__snake_case	)
			if not patch:
						update_version_in_examples(__snake_case	)


def 			_lowercase				(  )						->   str:
			__lowerCAmelCase      :  Tuple												=       "🤗 Transformers currently provides the following architectures"
			__lowerCAmelCase      :  Tuple												=       "1. Want to contribute a new model?"
			with open(__snake_case					,"r"					,encoding="utf-8"					,newline="\n"	) as f:
						__lowerCAmelCase      :  str												=       f.readlines()

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

			__lowerCAmelCase      :  Union[str, Any]												=       start_index
			# Update the lines in the model list.
			while not lines[index].startswith(_end_prompt	):
						if lines[index].startswith("1."	):
									__lowerCAmelCase      :  Any												=       lines[index].replace(
									    "https://huggingface.co/docs/transformers/main/model_doc"					,"https://huggingface.co/docs/transformers/model_doc"					,)
						index += 1

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


def 			_lowercase				(  )						->   List[Any]:
			with open(REPLACE_FILES["init"]					,"r"	) as f:
						__lowerCAmelCase      :  int												=       f.read()
			__lowerCAmelCase      :  Union[str, Any]												=       REPLACE_PATTERNS["init"][0].search(__snake_case	).groups()[0]
			return packaging.version.parse(__snake_case	)


def 			_lowercase				(  __snake_case=False	)						->   int:
			__lowerCAmelCase      :  Union[str, Any]												=       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      :  Optional[int]												=       default_version.base_version
			elif patch:
						__lowerCAmelCase      :  Union[str, Any]												=       F"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
			else:
						__lowerCAmelCase      :  str												=       F"""{default_version.major}.{default_version.minor + 1}.0"""

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

			print(F"""Updating version to {version}."""	)
			global_version_update(__snake_case					,patch=__snake_case	)
			if not patch:
						print("Cleaning main README, don't forget to run `make fix-copies`."	)
						clean_main_ref_in_model_list()


def 			_lowercase				(  )						->   List[str]:
			__lowerCAmelCase      :  Optional[Any]												=       get_version()
			__lowerCAmelCase      :  Tuple												=       F"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
			__lowerCAmelCase      :  Any												=       current_version.base_version

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

			print(F"""Updating version to {version}."""	)
			global_version_update(__snake_case	)
			print("Cleaning main README, don't forget to run `make fix-copies`."	)
			clean_main_ref_in_model_list()


if __name__ == "__main__":
	__snake_case							:   Tuple      =    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.')
	__snake_case							:   List[str]      =    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()




"""simple docstring"""






#
# 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 			_lowercase				(  *__snake_case	)						->   Optional[Any]:
			with open(__snake_case					,"r"	) as fh:
						fcntl.flock(__snake_case					,fcntl.LOCK_EX	)
						try:
									print(*__snake_case	)
						finally:
									fcntl.flock(__snake_case					,fcntl.LOCK_UN	)


__snake_case							:   List[Any]      =    int(os.environ['LOCAL_RANK'])
torch.cuda.set_device(local_rank)
__snake_case							:   List[str]      =    torch.device('cuda', local_rank)
__snake_case							:   Optional[Any]      =    socket.gethostname()

__snake_case							:   str      =    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
	__snake_case							:   Tuple      =    dist.get_rank()
	__snake_case							:   Any      =    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