

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

import cva
A_       : Any         =			''
A_       : Optional[int]         =			''
A_       : Dict         =			''
A_       : Optional[Any]         =			1  # (0 is vertical, 1 is horizontal)

def 						UpperCamelCase					()     ->      None:
	A__   ,   A__							:    Union[str, Any]        =		get_dataset(lowercase_    ,      lowercase_					)
	print("""Processing..."""					)
	A__   ,   A__   ,   A__							:    Union[str, Any]        =		update_image_and_anno(lowercase_    ,      lowercase_    ,      lowercase_					)

	for index, image in enumerate(lowercase_					):
		# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
		A__							:    List[Any]        =		random_chars(32					)
		A__							:    str        =		paths[index].split(os.sep					)[-1].rsplit("""."""    ,      1					)[0]
		A__							:    Any        =		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__							:    List[Any]        =		[]
		for anno in new_annos[index]:
			A__							:    Any        =		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 						UpperCamelCase					(lowercase_: str    ,      lowercase_: str					)     ->      tuple[list, list]:
	A__							:    Tuple        =		[]
	A__							:    Optional[int]        =		[]
	for label_file in glob.glob(os.path.join(lowercase_    ,      """*.txt"""					)					):
		A__							:    str        =		label_file.split(os.sep					)[-1].rsplit("""."""    ,      1					)[0]
		with open(lowercase_					) as in_file:
			A__							:    Tuple        =		in_file.readlines()
		A__							:    int        =		os.path.join(lowercase_    ,      f"""{label_name}.jpg"""					)

		A__							:    int        =		[]
		for obj_list in obj_lists:
			A__							:    Optional[Any]        =		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 						UpperCamelCase					(lowercase_: list    ,      lowercase_: list    ,      lowercase_: int = 1					)     ->      tuple[list, list, list]:
	A__							:    Dict        =		[]
	A__							:    Any        =		[]
	A__							:    List[str]        =		[]
	for idx in range(len(lowercase_					)					):
		A__							:    List[Any]        =		[]
		A__							:    Dict        =		img_list[idx]
		path_list.append(lowercase_					)
		A__							:    Optional[Any]        =		anno_list[idx]
		A__							:    int        =		cva.imread(lowercase_					)
		if flip_type == 1:
			A__							:    List[Any]        =		cva.flip(lowercase_    ,      lowercase_					)
			for bbox in img_annos:
				A__							:    Optional[Any]        =		1 - bbox[1]
				new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]]					)
		elif flip_type == 0:
			A__							:    str        =		cva.flip(lowercase_    ,      lowercase_					)
			for bbox in img_annos:
				A__							:    Optional[int]        =		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 						UpperCamelCase					(lowercase_: int = 32					)     ->      str:
	assert number_char > 1, "The number of character should greater than 1"
	A__							:    Optional[int]        =		ascii_lowercase + digits
	return "".join(random.choice(lowercase_					) for _ in range(lowercase_					)					)


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






import os

import pytest
import yaml

from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict

@pytest.mark.parametrize(
    """files"""    ,      [
        ["""full:README.md""", """dataset_infos.json"""],
        ["""empty:README.md""", """dataset_infos.json"""],
        ["""dataset_infos.json"""],
        ["""full:README.md"""],
    ]    ,      )
def 						UpperCamelCase					(lowercase_: List[str]    ,      lowercase_: Optional[int]					)     ->      List[str]:
	A__							:    Tuple        =		tmp_path_factory.mktemp("""dset_infos_dir"""					)
	if "full:README.md" in files:
		with open(dataset_infos_dir / """README.md"""    ,      """w"""					) as f:
			f.write("""---\ndataset_info:\n  dataset_size: 42\n---"""					)
	if "empty:README.md" in files:
		with open(dataset_infos_dir / """README.md"""    ,      """w"""					) as f:
			f.write(""""""					)
    # we want to support dataset_infos.json for backward compatibility
	if "dataset_infos.json" in files:
		with open(dataset_infos_dir / """dataset_infos.json"""    ,      """w"""					) as f:
			f.write("""{\"default\": {\"dataset_size\": 42}}"""					)
	A__							:    List[Any]        =		DatasetInfosDict.from_directory(lowercase_					)
	assert dataset_infos
	assert dataset_infos["default"].dataset_size == 42

@pytest.mark.parametrize(
    """dataset_info"""    ,      [
        DatasetInfo(),
        DatasetInfo(
            description="""foo"""    ,      features=Features({"""a""": Value("""int32"""					)}					)    ,      builder_name="""builder"""    ,      config_name="""config"""    ,      version="""1.0.0"""    ,      splits=[{"""name""": """train"""}]    ,      download_size=42    ,      ),
    ]    ,      )
def 						UpperCamelCase					(lowercase_: str    ,      lowercase_: DatasetInfo					)     ->      List[Any]:
	A__							:    Union[str, Any]        =		str(lowercase_					)
	dataset_info.write_to_directory(lowercase_					)
	A__							:    List[Any]        =		DatasetInfo.from_directory(lowercase_					)
	assert dataset_info == reloaded
	assert os.path.exists(os.path.join(lowercase_    ,      """dataset_info.json"""					)					)

def 						UpperCamelCase					()     ->      List[Any]:
	A__							:    Union[str, Any]        =		DatasetInfo(
	    description="""foo"""    ,      citation="""bar"""    ,      homepage="""https://foo.bar"""    ,      license="""CC0"""    ,      features=Features({"""a""": Value("""int32"""					)}					)    ,      post_processed={}    ,      supervised_keys=()    ,      task_templates=[]    ,      builder_name="""builder"""    ,      config_name="""config"""    ,      version="""1.0.0"""    ,      splits=[{"""name""": """train""", """num_examples""": 42}]    ,      download_checksums={}    ,      download_size=1337    ,      post_processing_size=442    ,      dataset_size=1234    ,      size_in_bytes=1337 + 442 + 1234    ,      )
	A__							:    Dict        =		dataset_info._to_yaml_dict()
	assert sorted(lowercase_					) == sorted(DatasetInfo._INCLUDED_INFO_IN_YAML					)
	for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
		assert key in dataset_info_yaml_dict
		assert isinstance(dataset_info_yaml_dict[key]    ,      (list, dict, int, str)					)
	A__							:    Union[str, Any]        =		yaml.safe_dump(lowercase_					)
	A__							:    List[Any]        =		yaml.safe_load(lowercase_					)
	assert dataset_info_yaml_dict == reloaded

def 						UpperCamelCase					()     ->      List[str]:
	A__							:    Optional[int]        =		DatasetInfo()
	A__							:    List[Any]        =		dataset_info._to_yaml_dict()
	assert dataset_info_yaml_dict == {}


@pytest.mark.parametrize(
    """dataset_infos_dict"""    ,      [
        DatasetInfosDict(),
        DatasetInfosDict({"""default""": DatasetInfo()}					),
        DatasetInfosDict({"""my_config_name""": DatasetInfo()}					),
        DatasetInfosDict(
            {
                """default""": DatasetInfo(
                    description="""foo"""    ,      features=Features({"""a""": Value("""int32"""					)}					)    ,      builder_name="""builder"""    ,      config_name="""config"""    ,      version="""1.0.0"""    ,      splits=[{"""name""": """train"""}]    ,      download_size=42    ,      )
            }					),
        DatasetInfosDict(
            {
                """v1""": DatasetInfo(dataset_size=42					),
                """v2""": DatasetInfo(dataset_size=1337					),
            }					),
    ]    ,      )
def 						UpperCamelCase					(lowercase_: Tuple    ,      lowercase_: DatasetInfosDict					)     ->      Optional[Any]:
	A__							:    List[Any]        =		str(lowercase_					)
	dataset_infos_dict.write_to_directory(lowercase_					)
	A__							:    Dict        =		DatasetInfosDict.from_directory(lowercase_					)

	# the config_name of the dataset_infos_dict take over the attribute
	for config_name, dataset_info in dataset_infos_dict.items():
		A__							:    Optional[int]        =		config_name
		# the yaml representation doesn't include fields like description or citation
		# so we just test that we can recover what we can from the yaml
		A__							:    List[str]        =		DatasetInfo._from_yaml_dict(dataset_info._to_yaml_dict()					)
	assert dataset_infos_dict == reloaded

	if dataset_infos_dict:
		assert os.path.exists(os.path.join(lowercase_    ,      """README.md"""					)					)



