




"""simple docstring"""



import glob
import os
import random
from string import ascii_lowercase, digits

import cva
SCREAMING_SNAKE_CASE    =	""
SCREAMING_SNAKE_CASE    =	""
SCREAMING_SNAKE_CASE    =	""
SCREAMING_SNAKE_CASE    =	1  # (0 is vertical, 1 is horizontal)







def   _SCREAMING_SNAKE_CASE       (							)						->		None:
 A__,				A__	=    get_dataset(lowercase_      ,			lowercase_						)
 print("Processing..."						)
 A__,				A__,				A__	=    update_image_and_anno(lowercase_      ,			lowercase_      ,			lowercase_						)

 for index, image in enumerate(lowercase_						):
  # Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
  A__	=    random_chars(32						)
  A__	=    paths[index].split(os.sep						)[-1].rsplit("."      ,			1						)[0]
  A__	=    f"""{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}"""
  cva.imwrite(f"""/{file_root}.jpg"""      ,			lowercase_      ,			[cva.IMWRITE_JPEG_QUALITY, 85]						)
  print(f"""Success {index+1}/{len(lowercase_						)} with {file_name}"""						)
  A__	=    []
  for anno in new_annos[index]:
   A__	=    f"""{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}"""
   annos_list.append(lowercase_						)
  with open(f"""/{file_root}.txt"""      ,			"w"						) as outfile:
   outfile.write("\n".join(line for line in annos_list						)						)







def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_						)						->		tuple[list, list]:
 A__	=    []
 A__	=    []
 for label_file in glob.glob(os.path.join(lowercase_      ,			"*.txt"						)						):
  A__	=    label_file.split(os.sep						)[-1].rsplit("."      ,			1						)[0]
  with open(lowercase_						) as in_file:
   A__	=    in_file.readlines()
  A__	=    os.path.join(lowercase_      ,			f"""{label_name}.jpg"""						)

  A__	=    []
  for obj_list in obj_lists:
   A__	=    obj_list.rstrip("\n"						).split(" "						)
   boxes.append(
       [
           int(obj[0]						),
           float(obj[1]						),
           float(obj[2]						),
           float(obj[3]						),
           float(obj[4]						),
       ]						)
  if not boxes:
   continue
  img_paths.append(lowercase_						)
  labels.append(lowercase_						)
 return img_paths, labels







def   _SCREAMING_SNAKE_CASE       (							lowercase_      ,			lowercase_      ,			lowercase_ = 1						)						->		tuple[list, list, list]:
 A__	=    []
 A__	=    []
 A__	=    []
 for idx in range(len(lowercase_						)						):
  A__	=    []
  A__	=    img_list[idx]
  path_list.append(lowercase_						)
  A__	=    anno_list[idx]
  A__	=    cva.imread(lowercase_						)
  if flip_type == 1:
   A__	=    cva.flip(lowercase_      ,			lowercase_						)
   for bbox in img_annos:
    A__	=    1 - bbox[1]
    new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]						)
  elif flip_type == 0:
   A__	=    cva.flip(lowercase_      ,			lowercase_						)
   for bbox in img_annos:
    A__	=    1 - bbox[2]
    new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]]						)
  new_annos_lists.append(lowercase_						)
  new_imgs_list.append(lowercase_						)
 return new_imgs_list, new_annos_lists, path_list







def   _SCREAMING_SNAKE_CASE       (							lowercase_ = 32						)						->		str:
 assert number_char > 1, "The number of character should greater than 1"
 A__	=    ascii_lowercase + digits
 return "".join(random.choice(lowercase_						) for _ in range(lowercase_						)						)


if __name__ == "__main__":
      main()
      print("DONE ✅")











"""simple docstring"""



# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse
import os
import platform

import numpy as np
import psutil
import torch

from accelerate import __version__ as version
from accelerate.commands.config import default_config_file, load_config_from_file

from ..utils import is_npu_available, is_xpu_available







def   _SCREAMING_SNAKE_CASE       (							lowercase_=None						)						->		Any:
 if subparsers is not None:
  A__	=    subparsers.add_parser("env"						)
 else:
  A__	=    argparse.ArgumentParser("Accelerate env command"						)

 parser.add_argument(
     "--config_file"      ,			default=lowercase_      ,			help="The config file to use for the default values in the launching script."						)

 if subparsers is not None:
  parser.set_defaults(func=lowercase_						)
 return parser







def   _SCREAMING_SNAKE_CASE       (							lowercase_						)						->		Dict:
 A__	=    torch.__version__
 A__	=    torch.cuda.is_available()
 A__	=    is_xpu_available()
 A__	=    is_npu_available()

 A__	=    "Not found"
 # Get the default from the config file.
 if args.config_file is not None or os.path.isfile(lowercase_						):
  A__	=    load_config_from_file(args.config_file						).to_dict()

 A__	=    {
     "`Accelerate` version": version,
     "Platform": platform.platform(),
     "Python version": platform.python_version(),
     "Numpy version": np.__version__,
     "PyTorch version (GPU?)": f"""{pt_version} ({pt_cuda_available})""",
     "PyTorch XPU available": str(lowercase_						),
     "PyTorch NPU available": str(lowercase_						),
     "System RAM": f"""{psutil.virtual_memory().total / 10_24 ** 3:.2f} GB""",
 }
 if pt_cuda_available:
  A__	=    torch.cuda.get_device_name()

 print("\nCopy-and-paste the text below in your GitHub issue\n"						)
 print("\n".join([f"""- {prop}: {val}""" for prop, val in info.items()]						)						)

 print("- `Accelerate` default config:" if args.config_file is None else "- `Accelerate` config passed:"						)
 A__	=    (
     "\n".join([f"""\t- {prop}: {val}""" for prop, val in accelerate_config.items()]						)
     if isinstance(lowercase_      ,			lowercase_						)
     else f"""\t{accelerate_config}"""
 )
 print(lowercase_						)

 A__	=    accelerate_config

 return info







def   _SCREAMING_SNAKE_CASE       (							)						->		int:
 A__	=    env_command_parser()
 A__	=    parser.parse_args()
 env_command(lowercase_						)
 return 0


if __name__ == "__main__":
      raise SystemExit(main())





