


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

import cva
import numpy as np

# Parrameters
lowerCAmelCase							:  List[Any]            =						(720, 1280)  # Height, Width
lowerCAmelCase							:  str            =						(0.4, 0.6)  # if height or width lower than this scale, drop it.
lowerCAmelCase							:  Any            =						1 / 100
lowerCAmelCase							:  Union[str, Any]            =						""""""
lowerCAmelCase							:  Optional[Any]            =						""""""
lowerCAmelCase							:  List[Any]            =						""""""
lowerCAmelCase							:  Union[str, Any]            =						250







def       A_				(   ):
						SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_:			List[Any]  		=	get_dataset(_UpperCAmelCase    ,     _UpperCAmelCase   )
						for index in range(_UpperCAmelCase   ):
												SCREAMING_SNAKE_CASE_:			List[Any]  		=	random.sample(range(len(_UpperCAmelCase   )   )    ,     4   )
												SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_		,   SCREAMING_SNAKE_CASE_:			int  		=	update_image_and_anno(
												    _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     filter_scale=_UpperCAmelCase    ,     )

												# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
												SCREAMING_SNAKE_CASE_:			Tuple  		=	random_chars(32   )
												SCREAMING_SNAKE_CASE_:			List[Any]  		=	path.split(os.sep   )[-1].rsplit("."    ,     1   )[0]
												SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	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}"   )
												SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	[]
												for anno in new_annos:
																		SCREAMING_SNAKE_CASE_:			str  		=	anno[3] - anno[1]
																		SCREAMING_SNAKE_CASE_:			int  		=	anno[4] - anno[2]
																		SCREAMING_SNAKE_CASE_:			Any  		=	anno[1] + width / 2
																		SCREAMING_SNAKE_CASE_:			Tuple  		=	anno[2] + height / 2
																		SCREAMING_SNAKE_CASE_:			str  		=	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       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase   ):
						SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	[]
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	[]
						for label_file in glob.glob(os.path.join(_UpperCAmelCase    ,     "*.txt"   )   ):
												SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	label_file.split(os.sep   )[-1].rsplit("."    ,     1   )[0]
												with open(_UpperCAmelCase   ) as in_file:
																		SCREAMING_SNAKE_CASE_:			str  		=	in_file.readlines()
												SCREAMING_SNAKE_CASE_:			List[str]  		=	os.path.join(_UpperCAmelCase    ,     f"{label_name}.jpg"   )

												SCREAMING_SNAKE_CASE_:			List[Any]  		=	[]
												for obj_list in obj_lists:
																		SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	obj_list.rstrip("\n"   ).split(" "   )
																		SCREAMING_SNAKE_CASE_:			Optional[int]  		=	float(obj[1]   ) - float(obj[3]   ) / 2
																		SCREAMING_SNAKE_CASE_:			Tuple  		=	float(obj[2]   ) - float(obj[4]   ) / 2
																		SCREAMING_SNAKE_CASE_:			Dict  		=	float(obj[1]   ) + float(obj[3]   ) / 2
																		SCREAMING_SNAKE_CASE_:			Union[str, 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       A_				(   _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase    ,     _UpperCAmelCase = 0.0    ,     ):
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	np.zeros([output_size[0], output_size[1], 3]    ,     dtype=np.uinta   )
						SCREAMING_SNAKE_CASE_:			int  		=	scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
						SCREAMING_SNAKE_CASE_:			str  		=	scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
						SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	int(scale_x * output_size[1]   )
						SCREAMING_SNAKE_CASE_:			List[Any]  		=	int(scale_y * output_size[0]   )

						SCREAMING_SNAKE_CASE_:			int  		=	[]
						SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	[]
						for i, index in enumerate(_UpperCAmelCase   ):
												SCREAMING_SNAKE_CASE_:			Any  		=	all_img_list[index]
												path_list.append(_UpperCAmelCase   )
												SCREAMING_SNAKE_CASE_:			Tuple  		=	all_annos[index]
												SCREAMING_SNAKE_CASE_:			Tuple  		=	cva.imread(_UpperCAmelCase   )
												if i == 0:  # top-left
																		SCREAMING_SNAKE_CASE_:			Optional[int]  		=	cva.resize(_UpperCAmelCase    ,     (divid_point_x, divid_point_y)   )
																		SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	img
																		for bbox in img_annos:
																								SCREAMING_SNAKE_CASE_:			str  		=	bbox[1] * scale_x
																								SCREAMING_SNAKE_CASE_:			Tuple  		=	bbox[2] * scale_y
																								SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	bbox[3] * scale_x
																								SCREAMING_SNAKE_CASE_:			Tuple  		=	bbox[4] * scale_y
																								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )
												elif i == 1:  # top-right
																		SCREAMING_SNAKE_CASE_:			int  		=	cva.resize(_UpperCAmelCase    ,     (output_size[1] - divid_point_x, divid_point_y)   )
																		SCREAMING_SNAKE_CASE_:			int  		=	img
																		for bbox in img_annos:
																								SCREAMING_SNAKE_CASE_:			int  		=	scale_x + bbox[1] * (1 - scale_x)
																								SCREAMING_SNAKE_CASE_:			Dict  		=	bbox[2] * scale_y
																								SCREAMING_SNAKE_CASE_:			int  		=	scale_x + bbox[3] * (1 - scale_x)
																								SCREAMING_SNAKE_CASE_:			List[Any]  		=	bbox[4] * scale_y
																								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )
												elif i == 2:  # bottom-left
																		SCREAMING_SNAKE_CASE_:			Dict  		=	cva.resize(_UpperCAmelCase    ,     (divid_point_x, output_size[0] - divid_point_y)   )
																		SCREAMING_SNAKE_CASE_:			List[Any]  		=	img
																		for bbox in img_annos:
																								SCREAMING_SNAKE_CASE_:			int  		=	bbox[1] * scale_x
																								SCREAMING_SNAKE_CASE_:			List[Any]  		=	scale_y + bbox[2] * (1 - scale_y)
																								SCREAMING_SNAKE_CASE_:			int  		=	bbox[3] * scale_x
																								SCREAMING_SNAKE_CASE_:			Optional[int]  		=	scale_y + bbox[4] * (1 - scale_y)
																								new_anno.append([bbox[0], xmin, ymin, xmax, ymax]   )
												else:  # bottom-right
																		SCREAMING_SNAKE_CASE_:			Any  		=	cva.resize(
																		    _UpperCAmelCase    ,     (output_size[1] - divid_point_x, output_size[0] - divid_point_y)   )
																		SCREAMING_SNAKE_CASE_:			List[str]  		=	img
																		for bbox in img_annos:
																								SCREAMING_SNAKE_CASE_:			Dict  		=	scale_x + bbox[1] * (1 - scale_x)
																								SCREAMING_SNAKE_CASE_:			str  		=	scale_y + bbox[2] * (1 - scale_y)
																								SCREAMING_SNAKE_CASE_:			Optional[Any]  		=	scale_x + bbox[3] * (1 - scale_x)
																								SCREAMING_SNAKE_CASE_:			List[str]  		=	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:
												SCREAMING_SNAKE_CASE_:			List[str]  		=	[
												    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       A_				(   _UpperCAmelCase   ):
						assert number_char > 1, "The number of character should greater than 1"
						SCREAMING_SNAKE_CASE_:			Dict  		=	ascii_lowercase + digits
						return "".join(random.choice(_UpperCAmelCase   ) for _ in range(_UpperCAmelCase   )   )


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









from typing import Dict, List, Optional

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase							:  List[str]            =						logging.get_logger(__name__)


lowerCAmelCase							:  Tuple            =						{
    """nielsr/canine-s""": 2048,
}

# Unicode defines 1,114,112 total “codepoints”
lowerCAmelCase							:  Any            =						1114112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
lowerCAmelCase							:  Dict            =						0

lowerCAmelCase							:  Dict            =						0xe000
lowerCAmelCase							:  str            =						0xe001
lowerCAmelCase							:  str            =						0xe002
lowerCAmelCase							:  Optional[int]            =						0xe003
lowerCAmelCase							:  List[Any]            =						0xe004

# Maps special codepoints to human-readable names.
lowerCAmelCase							:  Dict[int, str]            =						{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: "[CLS]",
    SEP: "[SEP]",
    BOS: "[BOS]",
    MASK: "[MASK]",
    PAD: "[PAD]",
    RESERVED: "[RESERVED]",
}

# Maps special codepoint human-readable names to their codepoint values.
lowerCAmelCase							:  Dict[str, int]            =						{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}



class   __lowercase    (			UpperCAmelCase_     ):




			"""simple docstring"""







			_UpperCAmelCase       :							List[str]      							=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES



			def __init__(			self  :					Optional[Any]       ,						lowerCAmelCase__  :					Tuple=chr(lowerCAmelCase__)       ,						lowerCAmelCase__  :					Tuple=chr(lowerCAmelCase__)       ,						lowerCAmelCase__  :					str=chr(lowerCAmelCase__)       ,						lowerCAmelCase__  :					List[Any]=chr(lowerCAmelCase__)       ,						lowerCAmelCase__  :					Optional[int]=chr(lowerCAmelCase__)       ,						lowerCAmelCase__  :					Union[str, Any]=chr(lowerCAmelCase__)       ,						lowerCAmelCase__  :					Union[str, Any]=False       ,						lowerCAmelCase__  :					int=2048       ,						**lowerCAmelCase__  :					Tuple       ,						):
									SCREAMING_SNAKE_CASE_:			Union[str, Any]  		=	AddedToken(lowerCAmelCase__       ,						lstrip=lowerCAmelCase__       ,						rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__       ,						lowerCAmelCase__) else bos_token
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	AddedToken(lowerCAmelCase__       ,						lstrip=lowerCAmelCase__       ,						rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__       ,						lowerCAmelCase__) else eos_token
									SCREAMING_SNAKE_CASE_:			List[Any]  		=	AddedToken(lowerCAmelCase__       ,						lstrip=lowerCAmelCase__       ,						rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__       ,						lowerCAmelCase__) else sep_token
									SCREAMING_SNAKE_CASE_:			Any  		=	AddedToken(lowerCAmelCase__       ,						lstrip=lowerCAmelCase__       ,						rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__       ,						lowerCAmelCase__) else cls_token
									SCREAMING_SNAKE_CASE_:			str  		=	AddedToken(lowerCAmelCase__       ,						lstrip=lowerCAmelCase__       ,						rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__       ,						lowerCAmelCase__) else pad_token

									# Mask token behave like a normal word, i.e. include the space before it
									SCREAMING_SNAKE_CASE_:			Dict  		=	AddedToken(lowerCAmelCase__       ,						lstrip=lowerCAmelCase__       ,						rstrip=lowerCAmelCase__) if isinstance(lowerCAmelCase__       ,						lowerCAmelCase__) else mask_token

									super().__init__(
									    bos_token=lowerCAmelCase__       ,						eos_token=lowerCAmelCase__       ,						sep_token=lowerCAmelCase__       ,						cls_token=lowerCAmelCase__       ,						pad_token=lowerCAmelCase__       ,						mask_token=lowerCAmelCase__       ,						add_prefix_space=lowerCAmelCase__       ,						model_max_length=lowerCAmelCase__       ,						**lowerCAmelCase__       ,						)

									# Creates a mapping for looking up the IDs of special symbols.
									SCREAMING_SNAKE_CASE_:			Dict[str, int]  		=	{}
									for codepoint, name in SPECIAL_CODEPOINTS.items():
															SCREAMING_SNAKE_CASE_:			List[Any]  		=	codepoint

									# Creates a mapping for looking up the string forms of special symbol IDs.
									SCREAMING_SNAKE_CASE_:			Dict[int, str]  		=	{
									    codepoint: name for name, codepoint in self._special_codepoints.items()
									}

									SCREAMING_SNAKE_CASE_:			List[str]  		=	UNICODE_VOCAB_SIZE
									SCREAMING_SNAKE_CASE_:			Tuple  		=	len(self._special_codepoints)



			@property
			def 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[int]):
									return self._unicode_vocab_size



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Dict       ,						lowerCAmelCase__  :					str):
									return list(lowerCAmelCase__)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					List[str]       ,						lowerCAmelCase__  :					str):
									try:
															return ord(lowerCAmelCase__)
									except TypeError:
															raise ValueError(F"invalid token: '{token}'")



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[int]       ,						lowerCAmelCase__  :					int):
									try:
															if index in SPECIAL_CODEPOINTS:
																					return SPECIAL_CODEPOINTS[index]
															return chr(lowerCAmelCase__)
									except TypeError:
															raise ValueError(F"invalid id: {index}")



			def 	_SCREAMING_SNAKE_CASE      (			self  :					List[str]       ,						lowerCAmelCase__  :					Dict):
									return "".join(lowerCAmelCase__)



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Optional[int]       ,						lowerCAmelCase__  :					List[int]       ,						lowerCAmelCase__  :					Optional[List[int]] = None):
									SCREAMING_SNAKE_CASE_:			List[str]  		=	[self.sep_token_id]
									SCREAMING_SNAKE_CASE_:			Tuple  		=	[self.cls_token_id]

									SCREAMING_SNAKE_CASE_:			int  		=	cls + token_ids_a + sep
									if token_ids_a is not None:
															result += token_ids_a + sep
									return result



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Union[str, Any]       ,						lowerCAmelCase__  :					List[int]       ,						lowerCAmelCase__  :					Optional[List[int]] = None       ,						lowerCAmelCase__  :					bool = False):
									if already_has_special_tokens:
															return super().get_special_tokens_mask(
															    token_ids_a=lowerCAmelCase__       ,						token_ids_a=lowerCAmelCase__       ,						already_has_special_tokens=lowerCAmelCase__)

									SCREAMING_SNAKE_CASE_:			Any  		=	[1] + ([0] * len(lowerCAmelCase__)) + [1]
									if token_ids_a is not None:
															result += ([0] * len(lowerCAmelCase__)) + [1]
									return result



			def 	_SCREAMING_SNAKE_CASE      (			self  :					Dict       ,						lowerCAmelCase__  :					List[int]       ,						lowerCAmelCase__  :					Optional[List[int]] = None):
									SCREAMING_SNAKE_CASE_:			Dict  		=	[self.sep_token_id]
									SCREAMING_SNAKE_CASE_:			int  		=	[self.cls_token_id]

									SCREAMING_SNAKE_CASE_:			List[str]  		=	len(cls + token_ids_a + sep) * [0]
									if token_ids_a is not None:
															result += len(token_ids_a + sep) * [1]
									return result




			def 	_SCREAMING_SNAKE_CASE      (			self  :					str       ,						lowerCAmelCase__  :					str       ,						lowerCAmelCase__  :					Optional[str] = None):
									return ()






