






'''simple docstring'''







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

import cva
import numpy as np

# Parrameters
_A			:    str					  =(720, 1_280)  # Height, Width
_A			:    List[Any]					  =(0.4, 0.6)  # if height or width lower than this scale, drop it.
_A			:    int					  =1 / 100
_A			:    List[str]					  =''''''
_A			:    Dict					  =''''''
_A			:    List[str]					  =''''''
_A			:    List[Any]					  =250





def 				SCREAMING_SNAKE_CASE_ ()   -> None:
							lowerCamelCase__      :			Union[str, Any] 						= get_dataset(UpperCamelCase       ,    UpperCamelCase   )
							for index in range(UpperCamelCase   ):
														lowerCamelCase__      :			List[str] 						= random.sample(range(len(UpperCamelCase   )   )       ,    4   )
														lowerCamelCase__      :			Any 						= update_image_and_anno(
														    UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase       ,    filter_scale=UpperCamelCase       ,    )

														# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
														lowerCamelCase__      :			Any 						= random_chars(32   )
														lowerCamelCase__      :			Tuple 						= path.split(os.sep   )[-1].rsplit("""."""       ,    1   )[0]
														lowerCamelCase__      :			Tuple 						= f'''{OUTPUT_DIR}/{file_name}_MOSAIC_{letter_code}'''
														cva.imwrite(f'''{file_root}.jpg'''       ,    UpperCamelCase       ,    [cva.IMWRITE_JPEG_QUALITY, 85]   )
														print(f'''Succeeded {index+1}/{NUMBER_IMAGES} with {file_name}'''   )
														lowerCamelCase__      :			Dict 						= []
														for anno in new_annos:
																					lowerCamelCase__      :			List[str] 						= anno[3] - anno[1]
																					lowerCamelCase__      :			Any 						= anno[4] - anno[2]
																					lowerCamelCase__      :			Tuple 						= anno[1] + width / 2
																					lowerCamelCase__      :			Optional[int] 						= anno[2] + height / 2
																					lowerCamelCase__      :			Union[str, Any] 						= f'''{anno[0]} {x_center} {y_center} {width} {height}'''
																					annos_list.append(UpperCamelCase   )
														with open(f'''{file_root}.txt'''       ,    """w"""   ) as outfile:
																					outfile.write("""\n""".join(line for line in annos_list   )   )





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase   )   -> tuple[list, list]:
							lowerCamelCase__      :			Optional[int] 						= []
							lowerCamelCase__      :			Tuple 						= []
							for label_file in glob.glob(os.path.join(UpperCamelCase       ,    """*.txt"""   )   ):
														lowerCamelCase__      :			int 						= label_file.split(os.sep   )[-1].rsplit("""."""       ,    1   )[0]
														with open(UpperCamelCase   ) as in_file:
																					lowerCamelCase__      :			Union[str, Any] 						= in_file.readlines()
														lowerCamelCase__      :			Dict 						= os.path.join(UpperCamelCase       ,    f'''{label_name}.jpg'''   )

														lowerCamelCase__      :			List[Any] 						= []
														for obj_list in obj_lists:
																					lowerCamelCase__      :			Dict 						= obj_list.rstrip("""\n"""   ).split(""" """   )
																					lowerCamelCase__      :			Dict 						= float(obj[1]   ) - float(obj[3]   ) / 2
																					lowerCamelCase__      :			List[str] 						= float(obj[2]   ) - float(obj[4]   ) / 2
																					lowerCamelCase__      :			Optional[Any] 						= float(obj[1]   ) + float(obj[3]   ) / 2
																					lowerCamelCase__      :			List[Any] 						= float(obj[2]   ) + float(obj[4]   ) / 2

																					boxes.append([int(obj[0]   ), xmin, ymin, xmax, ymax]   )
														if not boxes:
																					continue
														img_paths.append(UpperCamelCase   )
														labels.append(UpperCamelCase   )
							return img_paths, labels





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase       ,    UpperCamelCase = 0.0       ,    )   -> tuple[list, list, str]:
							lowerCamelCase__      :			str 						= np.zeros([output_size[0], output_size[1], 3]       ,    dtype=np.uinta   )
							lowerCamelCase__      :			Any 						= scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
							lowerCamelCase__      :			Optional[Any] 						= scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
							lowerCamelCase__      :			List[str] 						= int(scale_x * output_size[1]   )
							lowerCamelCase__      :			Dict 						= int(scale_y * output_size[0]   )

							lowerCamelCase__      :			Union[str, Any] 						= []
							lowerCamelCase__      :			List[str] 						= []
							for i, index in enumerate(UpperCamelCase   ):
														lowerCamelCase__      :			Dict 						= all_img_list[index]
														path_list.append(UpperCamelCase   )
														lowerCamelCase__      :			Union[str, Any] 						= all_annos[index]
														lowerCamelCase__      :			List[str] 						= cva.imread(UpperCamelCase   )
														if i == 0:  # top-left
																					lowerCamelCase__      :			Tuple 						= cva.resize(UpperCamelCase       ,    (divid_point_x, divid_point_y)   )
																					lowerCamelCase__      :			Tuple 						= img
																					for bbox in img_annos:
																												lowerCamelCase__      :			Any 						= bbox[1] * scale_x
																												lowerCamelCase__      :			Union[str, Any] 						= bbox[2] * scale_y
																												lowerCamelCase__      :			Union[str, Any] 						= bbox[3] * scale_x
																												lowerCamelCase__      :			Dict 						= bbox[4] * scale_y
																												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )
														elif i == 1:  # top-right
																					lowerCamelCase__      :			Dict 						= cva.resize(UpperCamelCase       ,    (output_size[1] - divid_point_x, divid_point_y)   )
																					lowerCamelCase__      :			Optional[Any] 						= img
																					for bbox in img_annos:
																												lowerCamelCase__      :			Any 						= scale_x + bbox[1] * (1 - scale_x)
																												lowerCamelCase__      :			Tuple 						= bbox[2] * scale_y
																												lowerCamelCase__      :			Optional[Any] 						= scale_x + bbox[3] * (1 - scale_x)
																												lowerCamelCase__      :			Optional[Any] 						= bbox[4] * scale_y
																												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )
														elif i == 2:  # bottom-left
																					lowerCamelCase__      :			Union[str, Any] 						= cva.resize(UpperCamelCase       ,    (divid_point_x, output_size[0] - divid_point_y)   )
																					lowerCamelCase__      :			str 						= img
																					for bbox in img_annos:
																												lowerCamelCase__      :			str 						= bbox[1] * scale_x
																												lowerCamelCase__      :			Any 						= scale_y + bbox[2] * (1 - scale_y)
																												lowerCamelCase__      :			int 						= bbox[3] * scale_x
																												lowerCamelCase__      :			List[str] 						= scale_y + bbox[4] * (1 - scale_y)
																												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )
														else:  # bottom-right
																					lowerCamelCase__      :			List[Any] 						= cva.resize(
																					    UpperCamelCase       ,    (output_size[1] - divid_point_x, output_size[0] - divid_point_y)   )
																					lowerCamelCase__      :			str 						= img
																					for bbox in img_annos:
																												lowerCamelCase__      :			List[str] 						= scale_x + bbox[1] * (1 - scale_x)
																												lowerCamelCase__      :			Any 						= scale_y + bbox[2] * (1 - scale_y)
																												lowerCamelCase__      :			Optional[Any] 						= scale_x + bbox[3] * (1 - scale_x)
																												lowerCamelCase__      :			Optional[Any] 						= scale_y + bbox[4] * (1 - scale_y)
																												new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )

    # Remove bounding box small than scale of filter
							if filter_scale > 0:
														lowerCamelCase__      :			Any 						= [
														    anno
														    for anno in new_anno
														    if filter_scale < (anno[3] - anno[1]) and filter_scale < (anno[4] - anno[2])
														]

							return output_img, new_anno, path_list[0]





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase   )   -> str:
							assert number_char > 1, "The number of character should greater than 1"
							lowerCamelCase__      :			Optional[int] 						= ascii_lowercase + digits
							return "".join(random.choice(UpperCamelCase   ) for _ in range(UpperCamelCase   )   )


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









'''simple docstring'''







import argparse
import os
import re

import packaging.version


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





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





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase   )   -> str:
							for folder, directories, fnames in os.walk(UpperCamelCase   ):
														# 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(UpperCamelCase       ,    UpperCamelCase   )       ,    UpperCamelCase       ,    pattern="""examples"""   )





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





def 				SCREAMING_SNAKE_CASE_ ()   -> Optional[Any]:
							lowerCamelCase__      :			Dict 						= """🤗 Transformers currently provides the following architectures"""
							lowerCamelCase__      :			Dict 						= """1. Want to contribute a new model?"""
							with open(UpperCamelCase       ,    """r"""       ,    encoding="""utf-8"""       ,    newline="""\n"""   ) as f:
														lowerCamelCase__      :			int 						= f.readlines()

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

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

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





def 				SCREAMING_SNAKE_CASE_ ()   -> Optional[Any]:
							with open(REPLACE_FILES["""init"""]       ,    """r"""   ) as f:
														lowerCamelCase__      :			int 						= f.read()
							lowerCamelCase__      :			Optional[Any] 						= REPLACE_PATTERNS["""init"""][0].search(UpperCamelCase   ).groups()[0]
							return packaging.version.parse(UpperCamelCase   )





def 				SCREAMING_SNAKE_CASE_ (UpperCamelCase=False   )   -> List[Any]:
							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__      :			List[str] 						= default_version.base_version
							elif patch:
														lowerCamelCase__      :			Any 						= f'''{default_version.major}.{default_version.minor}.{default_version.micro + 1}'''
							else:
														lowerCamelCase__      :			List[Any] 						= f'''{default_version.major}.{default_version.minor + 1}.0'''

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

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





def 				SCREAMING_SNAKE_CASE_ ()   -> List[str]:
							lowerCamelCase__      :			Optional[int] 						= get_version()
							lowerCamelCase__      :			Any 						= 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__      :			List[Any] 						= input(f'''Which version are we developing now? [{dev_version}]'''   )
							if len(UpperCamelCase   ) == 0:
														lowerCamelCase__      :			Dict 						= dev_version

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


if __name__ == "__main__":
			_A			:    List[Any]					  =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.''')
			_A			:    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()

