



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

import cva
import numpy as np

# Parrameters
A__								=						(720, 1280)  # Height, Width
A__								=						(0.4, 0.6)  # if height or width lower than this scale, drop it.
A__								=						1 / 100
A__								=						""""""
A__								=						""""""
A__								=						""""""
A__								=						250



def 			_lowerCAmelCase       (					)   ->					None:


				"""simple docstring"""

				snake_case__		, snake_case__	:      Optional[Any]     		=	get_dataset(lowercase_  ,  lowercase_      )
				for index in range(lowercase_      ):
								snake_case__	:      Optional[Any]     		=	random.sample(range(len(lowercase_      )      )  ,  4      )
								snake_case__		, snake_case__		, snake_case__	:      List[str]     		=	update_image_and_anno(
								    lowercase_  ,  lowercase_  ,  lowercase_  ,  lowercase_  ,  lowercase_  ,  filter_scale=lowercase_  ,  )

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



def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase      )   ->					tuple[list, list]:


				"""simple docstring"""

				snake_case__	:      int     		=	[]
				snake_case__	:      Optional[Any]     		=	[]
				for label_file in glob.glob(os.path.join(lowercase_  ,  '''*.txt'''      )      ):
								snake_case__	:      Union[str, Any]     		=	label_file.split(os.sep      )[-1].rsplit('''.'''  ,  1      )[0]
								with open(lowercase_      ) as in_file:
												snake_case__	:      List[str]     		=	in_file.readlines()
								snake_case__	:      int     		=	os.path.join(lowercase_  ,  f"""{label_name}.jpg"""      )

								snake_case__	:      int     		=	[]
								for obj_list in obj_lists:
												snake_case__	:      int     		=	obj_list.rstrip('''\n'''      ).split(''' '''      )
												snake_case__	:      Tuple     		=	float(obj[1]      ) - float(obj[3]      ) / 2
												snake_case__	:      Optional[Any]     		=	float(obj[2]      ) - float(obj[4]      ) / 2
												snake_case__	:      Tuple     		=	float(obj[1]      ) + float(obj[3]      ) / 2
												snake_case__	:      int     		=	float(obj[2]      ) + float(obj[4]      ) / 2

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



def 			_lowerCAmelCase       (					__lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase  ,  __lowerCAmelCase = 0.0  ,  )   ->					tuple[list, list, str]:


				"""simple docstring"""

				snake_case__	:      Union[str, Any]     		=	np.zeros([output_size[0], output_size[1], 3]  ,  dtype=np.uinta      )
				snake_case__	:      Any     		=	scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
				snake_case__	:      Dict     		=	scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
				snake_case__	:      Optional[int]     		=	int(scale_x * output_size[1]      )
				snake_case__	:      List[str]     		=	int(scale_y * output_size[0]      )

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


				"""simple docstring"""

				assert number_char > 1, "The number of character should greater than 1"
				snake_case__	:      Union[str, Any]     		=	ascii_lowercase + digits
				return "".join(random.choice(lowercase_      ) for _ in range(lowercase_      )      )


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







import os

import pytest

from transformers.dynamic_module_utils import get_imports


_lowerCamelCase	:		Any							       =   """
import os
"""

_lowerCamelCase	:		Optional[int]							       =   """
def foo():
    import os
    return False
"""

_lowerCamelCase	:		List[Any]							       =   """
def foo():
    def bar():
        if True:
            import os
        return False
    return bar()
"""

_lowerCamelCase	:		List[Any]							       =   """
import os

try:
    import bar
except ImportError:
    raise ValueError()
"""

_lowerCamelCase	:		Union[str, Any]							       =   """
import os

def foo():
    try:
        import bar
    except ImportError:
        raise ValueError()
"""

_lowerCamelCase	:		List[Any]							       =   """
import os

try:
    import bar
except (ImportError, AttributeError):
    raise ValueError()
"""

_lowerCamelCase	:		List[Any]							       =   """
import os

try:
    import bar
except ImportError as e:
    raise ValueError()
"""

_lowerCamelCase	:		str							       =   """
import os

try:
    import bar
except:
    raise ValueError()
"""

_lowerCamelCase	:		Optional[Any]							       =   """
import os

try:
    import bar
    import baz
except ImportError:
    raise ValueError()
"""

_lowerCamelCase	:		Any							       =   """
import os

try:
    import bar
    import baz
except ImportError:
    x = 1
    raise ValueError()
"""

_lowerCamelCase	:		Dict							       =   [
    TOP_LEVEL_IMPORT,
    IMPORT_IN_FUNCTION,
    DEEPLY_NESTED_IMPORT,
    TOP_LEVEL_TRY_IMPORT,
    GENERIC_EXCEPT_IMPORT,
    MULTILINE_TRY_IMPORT,
    MULTILINE_BOTH_IMPORT,
    MULTIPLE_EXCEPTS_IMPORT,
    EXCEPT_AS_IMPORT,
    TRY_IMPORT_IN_FUNCTION,
]







@pytest.mark.parametrize('''case''' ,				lowercase_						)
def SCREAMING_SNAKE_CASE				(       lowercase_ ,				lowercase_						)   ->       int:



       """simple docstring"""

       A__       =    os.path.join(lowercase_ ,				'''test_file.py'''						)
       with open(lowercase_ ,				'''w'''						) as _tmp_file:
              _tmp_file.write(lowercase_						)

       A__       =    get_imports(lowercase_						)
       assert parsed_imports == ["os"]


