






"""simple docstring"""




import math
import os

import cva
import numpy as np

_snake_case					   =     2_55.0

def     lowerCAmelCase__  (  UpperCamelCase__  ,     UpperCamelCase__       ):



  '''simple docstring'''
  _a						: int    =			np.mean((original - contrast) ** 2       )
  if mse == 0:
    return 1_0_0

  return 2_0 * math.logaa(PIXEL_MAX / math.sqrt(UpperCamelCase__       )       )

def     lowerCAmelCase__  (  ):



  '''simple docstring'''
  _a						: str    =			os.path.dirname(os.path.realpath(UpperCamelCase__       )       )
  # Loading images (original image and compressed image)
  _a						: Optional[int]    =			cva.imread(os.path.join(UpperCamelCase__  ,     """image_data/original_image.png"""       )       )
  _a						: Any    =			cva.imread(os.path.join(UpperCamelCase__  ,     """image_data/compressed_image.png"""       )  ,     1       )

  _a						: Optional[Any]    =			cva.imread(os.path.join(UpperCamelCase__  ,     """image_data/PSNR-example-base.png"""       )       )
  _a						: Optional[Any]    =			cva.imread(
      os.path.join(UpperCamelCase__  ,     """image_data/PSNR-example-comp-10.jpg"""       )  ,     1       )

  # Value expected: 29.73dB
  print("""-- First Test --"""       )
  print(F"""PSNR value is {peak_signal_to_noise_ratio(UpperCamelCase__  ,     UpperCamelCase__       )} dB"""       )

  # # Value expected: 31.53dB (Wikipedia Example)
  print("""\n-- Second Test --"""       )
  print(F"""PSNR value is {peak_signal_to_noise_ratio(UpperCamelCase__  ,     UpperCamelCase__       )} dB"""       )


if __name__ == "__main__":
 main()









"""simple docstring"""




import json
import logging
import os
import subprocess
from argparse import ArgumentParser


_snake_case					   =     logging.getLogger(__name__)

def     lowerCAmelCase__  (  ):



  '''simple docstring'''
  _a						: Any    =			ArgumentParser()
  _a   ,						_a						: str    =			parser.parse_known_args()
  for arg in unknown:
    if arg.startswith(("""-""", """--""")       ):
      parser.add_argument(arg.split("""="""       )[0]       )

  return parser.parse_args()

def     lowerCAmelCase__  (  ):



  '''simple docstring'''
  _a						: Optional[Any]    =			parse_args()
  _a						: Any    =			8_8_8_8
  _a						: List[str]    =			int(os.environ["""SM_NUM_GPUS"""]       )
  _a						: Union[str, Any]    =			json.loads(os.environ["""SM_HOSTS"""]       )
  _a						: Tuple    =			len(UpperCamelCase__       )
  _a						: Optional[int]    =			os.environ["""SM_CURRENT_HOST"""]
  _a						: Optional[Any]    =			hosts.index(UpperCamelCase__       )
  _a						: List[str]    =			"""INFO"""

  if num_nodes > 1:
    _a						: int    =			F"""python -m torch.distributed.launch \
                --nnodes={num_nodes}  \
                --node_rank={rank}  \
                --nproc_per_node={num_gpus}  \
                --master_addr={hosts[0]}  \
                --master_port={port} \
                ./run_glue.py \
                {''.join(['nested fstring' for parameter,value in args.__dict__.items()]       )}"""
  else:
    _a						: Any    =			F"""python -m torch.distributed.launch \
            --nproc_per_node={num_gpus}  \
            ./run_glue.py \
            {''.join(['nested fstring' for parameter,value in args.__dict__.items()]       )}"""
  try:
    subprocess.run(UpperCamelCase__  ,     shell=UpperCamelCase__       )
  except Exception as e:
    logger.info(UpperCamelCase__       )


if __name__ == "__main__":
 main()

