



import argparse
import struct
import unittest



class 	_lowercase							:





	"""simple docstring"""




	def __init__(self		,       lowerCamelCase_		):
						"""simple docstring"""

						a					     =   data

						# Initialize hash values
						a					     =   [
						    0X6A09_E667,
						    0XBB67_AE85,
						    0X3C6E_F372,
						    0XA54F_F53A,
						    0X510E_527F,
						    0X9B05_688C,
						    0X1F83_D9AB,
						    0X5BE0_CD19,
						]

						# Initialize round constants
						a					     =   [
						    0X428A_2F98,
						    0X7137_4491,
						    0XB5C0_FBCF,
						    0XE9B5_DBA5,
						    0X3956_C25B,
						    0X59F1_11F1,
						    0X923F_82A4,
						    0XAB1C_5ED5,
						    0XD807_AA98,
						    0X1283_5B01,
						    0X2431_85BE,
						    0X550C_7DC3,
						    0X72BE_5D74,
						    0X80DE_B1FE,
						    0X9BDC_06A7,
						    0XC19B_F174,
						    0XE49B_69C1,
						    0XEFBE_4786,
						    0X0FC1_9DC6,
						    0X240C_A1CC,
						    0X2DE9_2C6F,
						    0X4A74_84AA,
						    0X5CB0_A9DC,
						    0X76F9_88DA,
						    0X983E_5152,
						    0XA831_C66D,
						    0XB003_27C8,
						    0XBF59_7FC7,
						    0XC6E0_0BF3,
						    0XD5A7_9147,
						    0X06CA_6351,
						    0X1429_2967,
						    0X27B7_0A85,
						    0X2E1B_2138,
						    0X4D2C_6DFC,
						    0X5338_0D13,
						    0X650A_7354,
						    0X766A_0ABB,
						    0X81C2_C92E,
						    0X9272_2C85,
						    0XA2BF_E8A1,
						    0XA81A_664B,
						    0XC24B_8B70,
						    0XC76C_51A3,
						    0XD192_E819,
						    0XD699_0624,
						    0XF40E_3585,
						    0X106A_A070,
						    0X19A4_C116,
						    0X1E37_6C08,
						    0X2748_774C,
						    0X34B0_BCB5,
						    0X391C_0CB3,
						    0X4ED8_AA4A,
						    0X5B9C_CA4F,
						    0X682E_6FF3,
						    0X748F_82EE,
						    0X78A5_636F,
						    0X84C8_7814,
						    0X8CC7_0208,
						    0X90BE_FFFA,
						    0XA450_6CEB,
						    0XBEF9_A3F7,
						    0XC671_78F2,
						]

						a					     =   self.preprocessing(self.data		)
						self.final_hash()




	@staticmethod
	def      UpperCamelCase_       (lowerCamelCase_		):
						"""simple docstring"""

						a					     =   b'\x80' + (b'\x00' * (63 - (len(__a		) + 8) % 64))
						a					     =   struct.pack(">Q"		,       (len(__a		) * 8)		)
						return data + padding + big_endian_integer




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   [
						    self.preprocessed_data[x : x + 64]
						    for x in range(0		,       len(self.preprocessed_data		)		,       64		)
						]

						for block in self.blocks:
											# Convert the given block into a list of 4 byte integers
											a					     =   list(struct.unpack(">16L"		,       __a		)		)
											# add 48 0-ed integers
											words += [0] * 48

											a					     =   self.hashes

											for index in range(0		,       64		):
																if index > 15:
																					# modify the zero-ed indexes at the end of the array
																					a					     =   (
																					    self.ror(words[index - 15]		,       7		)
																					    ^ self.ror(words[index - 15]		,       18		)
																					    ^ (words[index - 15] >> 3)
																					)
																					a					     =   (
																					    self.ror(words[index - 2]		,       17		)
																					    ^ self.ror(words[index - 2]		,       19		)
																					    ^ (words[index - 2] >> 10)
																					)

																					a					     =   (
																					    words[index - 16] + sa + words[index - 7] + sa
																					) % 0X1_0000_0000

																# Compression
																a					     =   self.ror(__a		,       6		) ^ self.ror(__a		,       11		) ^ self.ror(__a		,       25		)
																a					     =   (e & f) ^ ((~e & 0XFFFF_FFFF) & g)
																a					     =   (
																    h + sa + ch + self.round_constants[index] + words[index]
																) % 0X1_0000_0000
																a					     =   self.ror(__a		,       2		) ^ self.ror(__a		,       13		) ^ self.ror(__a		,       22		)
																a					     =   (a & b) ^ (a & c) ^ (b & c)
																a					     =   (sa + maj) % 0X1_0000_0000

																a					     =   (
																    g,
																    f,
																    e,
																    ((d + tempa) % 0X1_0000_0000),
																    c,
																    b,
																    a,
																    ((tempa + tempa) % 0X1_0000_0000),
																)

											a					     =   [a, b, c, d, e, f, g, h]

											# Modify final values
											a					     =   [
											    ((element + mutated_hash_values[index]) % 0X1_0000_0000)
											    for index, element in enumerate(self.hashes		)
											]

						a					     =   ''.join([hex(__a		)[2:].zfill(8		) for value in self.hashes]		)




	def      UpperCamelCase_       (self		,       lowerCamelCase_		,       lowerCamelCase_		):
						"""simple docstring"""

						return 0XFFFF_FFFF & (value << (32 - rotations)) | (value >> rotations)




class 	_lowercase							(   unittest.TestCase	):





	"""simple docstring"""




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						import hashlib

						a					     =   bytes("Test String"		,       "utf-8"		)
						self.assertEqual(SHAaaa(__a		).hash		,       hashlib.shaaaa(__a		).hexdigest()		)






def     a(      )		->       Optional[Any]:
					"""simple docstring"""





					import doctest

					doctest.testmod()

					a					     =   argparse.ArgumentParser()
					parser.add_argument(
					    "-s" ,     "--string" ,     dest="input_string" ,     default="Hello World!! Welcome to Cryptography" ,     help="Hash the string" ,     )
					parser.add_argument(
					    "-f" ,     "--file" ,     dest="input_file" ,     help="Hash contents of a file"       )

					a					     =   parser.parse_args()

					a					     =   args.input_string

					# hash input should be a bytestring
					if args.input_file:
										with open(args.input_file ,     "rb"       ) as f:
															a					     =   f.read()
					else:
										a					     =   bytes(_SCREAMING_SNAKE_CASE ,     "utf-8"       )

					print(SHAaaa(_SCREAMING_SNAKE_CASE       ).hash       )


if __name__ == "__main__":
				main()




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


__lowercase	:						Dict       =	int(os.environ['LOCAL_RANK'])
torch.cuda.set_device(local_rank)
__lowercase	:						Tuple       =	torch.device('cuda', local_rank)
__lowercase	:						Optional[int]       =	socket.gethostname()

__lowercase	:						List[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
	__lowercase	:						str       =	dist.get_rank()
	__lowercase	:						Union[str, 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



