"""simple docstring"""





import os
import unittest

from transformers import BertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    BertTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english
@require_tokenizers
class  _snake_case     (					__UpperCAmelCase				, unittest.TestCase		):
						snake_case__			  =			BertTokenizer
						snake_case__			  =			BertTokenizerFast
						snake_case__			  =			True
						snake_case__			  =			True
						snake_case__			  =			filter_non_english






						def       lowerCamelCase__     (       self      :			str    ):
													super().setUp()

													__lowerCamelCase					:		Optional[int]		   =     [
													    "[UNK]",
													    "[CLS]",
													    "[SEP]",
													    "[PAD]",
													    "[MASK]",
													    "want",
													    "##want",
													    "##ed",
													    "wa",
													    "un",
													    "runn",
													    "##ing",
													    ",",
													    "low",
													    "lowest",
													]
													__lowerCamelCase					:		Optional[Any]		   =     os.path.join(self.tmpdirname							,					VOCAB_FILES_NAMES["vocab_file"]    )
													with open(self.vocab_file							,					"w"							,					encoding="utf-8"    ) as vocab_writer:
																				vocab_writer.write("".join([x + "\n" for x in vocab_tokens]    )    )






						def       lowerCamelCase__     (       self      :			str							,					UpperCAmelCase      :			str    ):
													__lowerCamelCase					:		Optional[int]		   =     "UNwant\u00E9d,running"
													__lowerCamelCase					:		List[Any]		   =     "unwanted, running"
													return input_text, output_text






						def       lowerCamelCase__     (       self      :			List[str]    ):
													__lowerCamelCase					:		Any		   =     self.tokenizer_class(self.vocab_file    )

													__lowerCamelCase					:		Optional[int]		   =     tokenizer.tokenize("UNwant\u00E9d,running"    )
													self.assertListEqual(UpperCAmelCase							,					["un", "##want", "##ed", ",", "runn", "##ing"]    )
													self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase    )							,					[9, 6, 7, 12, 10, 11]    )






						def       lowerCamelCase__     (       self      :			Union[str, Any]    ):

													if not self.test_rust_tokenizer:
																				return

													__lowerCamelCase					:		Dict		   =     self.get_tokenizer()
													__lowerCamelCase					:		Dict		   =     self.get_rust_tokenizer()

													__lowerCamelCase					:		List[Any]		   =     "UNwant\u00E9d,running"

													__lowerCamelCase					:		Union[str, Any]		   =     tokenizer.tokenize(UpperCAmelCase    )
													__lowerCamelCase					:		int		   =     rust_tokenizer.tokenize(UpperCAmelCase    )
													self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )

													__lowerCamelCase					:		Tuple		   =     tokenizer.encode(UpperCAmelCase							,					add_special_tokens=UpperCAmelCase    )
													__lowerCamelCase					:		int		   =     rust_tokenizer.encode(UpperCAmelCase							,					add_special_tokens=UpperCAmelCase    )
													self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )

													__lowerCamelCase					:		Optional[int]		   =     self.get_rust_tokenizer()
													__lowerCamelCase					:		List[Any]		   =     tokenizer.encode(UpperCAmelCase    )
													__lowerCamelCase					:		Optional[Any]		   =     rust_tokenizer.encode(UpperCAmelCase    )
													self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )

													# With lower casing
													__lowerCamelCase					:		List[str]		   =     self.get_tokenizer(do_lower_case=UpperCAmelCase    )
													__lowerCamelCase					:		int		   =     self.get_rust_tokenizer(do_lower_case=UpperCAmelCase    )

													__lowerCamelCase					:		Any		   =     "UNwant\u00E9d,running"

													__lowerCamelCase					:		Union[str, Any]		   =     tokenizer.tokenize(UpperCAmelCase    )
													__lowerCamelCase					:		Optional[int]		   =     rust_tokenizer.tokenize(UpperCAmelCase    )
													self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )

													__lowerCamelCase					:		Optional[int]		   =     tokenizer.encode(UpperCAmelCase							,					add_special_tokens=UpperCAmelCase    )
													__lowerCamelCase					:		Optional[Any]		   =     rust_tokenizer.encode(UpperCAmelCase							,					add_special_tokens=UpperCAmelCase    )
													self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )

													__lowerCamelCase					:		Optional[int]		   =     self.get_rust_tokenizer()
													__lowerCamelCase					:		Optional[Any]		   =     tokenizer.encode(UpperCAmelCase    )
													__lowerCamelCase					:		Any		   =     rust_tokenizer.encode(UpperCAmelCase    )
													self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )






						def       lowerCamelCase__     (       self      :			Any    ):
													__lowerCamelCase					:		Any		   =     BasicTokenizer()

													self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"    )							,					["ah", "\u535A", "\u63A8", "zz"]    )






						def       lowerCamelCase__     (       self      :			List[Any]    ):
													__lowerCamelCase					:		Optional[int]		   =     BasicTokenizer(do_lower_case=UpperCAmelCase    )

													self.assertListEqual(
													    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "    )							,					["hello", "!", "how", "are", "you", "?"]    )
													self.assertListEqual(tokenizer.tokenize("H\u00E9llo"    )							,					["hello"]    )






						def       lowerCamelCase__     (       self      :			str    ):
													__lowerCamelCase					:		List[Any]		   =     BasicTokenizer(do_lower_case=UpperCAmelCase							,					strip_accents=UpperCAmelCase    )

													self.assertListEqual(
													    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "    )							,					["hällo", "!", "how", "are", "you", "?"]    )
													self.assertListEqual(tokenizer.tokenize("H\u00E9llo"    )							,					["h\u00E9llo"]    )






						def       lowerCamelCase__     (       self      :			List[Any]    ):
													__lowerCamelCase					:		List[Any]		   =     BasicTokenizer(do_lower_case=UpperCAmelCase							,					strip_accents=UpperCAmelCase    )

													self.assertListEqual(
													    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "    )							,					["hallo", "!", "how", "are", "you", "?"]    )
													self.assertListEqual(tokenizer.tokenize("H\u00E9llo"    )							,					["hello"]    )






						def       lowerCamelCase__     (       self      :			Optional[Any]    ):
													__lowerCamelCase					:		Any		   =     BasicTokenizer(do_lower_case=UpperCAmelCase    )

													self.assertListEqual(
													    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "    )							,					["hallo", "!", "how", "are", "you", "?"]    )
													self.assertListEqual(tokenizer.tokenize("H\u00E9llo"    )							,					["hello"]    )






						def       lowerCamelCase__     (       self      :			List[Any]    ):
													__lowerCamelCase					:		Optional[int]		   =     BasicTokenizer(do_lower_case=UpperCAmelCase    )

													self.assertListEqual(
													    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "    )							,					["HeLLo", "!", "how", "Are", "yoU", "?"]    )






						def       lowerCamelCase__     (       self      :			Any    ):
													__lowerCamelCase					:		List[str]		   =     BasicTokenizer(do_lower_case=UpperCAmelCase							,					strip_accents=UpperCAmelCase    )

													self.assertListEqual(
													    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "    )							,					["HäLLo", "!", "how", "Are", "yoU", "?"]    )






						def       lowerCamelCase__     (       self      :			int    ):
													__lowerCamelCase					:		str		   =     BasicTokenizer(do_lower_case=UpperCAmelCase							,					strip_accents=UpperCAmelCase    )

													self.assertListEqual(
													    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "    )							,					["HaLLo", "!", "how", "Are", "yoU", "?"]    )






						def       lowerCamelCase__     (       self      :			Tuple    ):
													__lowerCamelCase					:		Any		   =     BasicTokenizer(do_lower_case=UpperCAmelCase							,					never_split=["[UNK]"]    )

													self.assertListEqual(
													    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"    )							,					["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]    )






						def       lowerCamelCase__     (       self      :			Union[str, Any]    ):
													__lowerCamelCase					:		int		   =     BasicTokenizer()
													__lowerCamelCase					:		List[str]		   =     "a\n\'ll !!to?\'d of, can\'t."
													__lowerCamelCase					:		Dict		   =     ["a", "\'", "ll", "!", "!", "to", "?", "\'", "d", "of", ",", "can", "\'", "t", "."]
													self.assertListEqual(tokenizer.tokenize(UpperCAmelCase    )							,					UpperCAmelCase    )






						def       lowerCamelCase__     (       self      :			Any    ):
													__lowerCamelCase					:		Optional[Any]		   =     ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

													__lowerCamelCase					:		Any		   =     {}
													for i, token in enumerate(UpperCAmelCase    ):
																				__lowerCamelCase					:		List[str]		   =     i
													__lowerCamelCase					:		Optional[int]		   =     WordpieceTokenizer(vocab=UpperCAmelCase							,					unk_token="[UNK]"    )

													self.assertListEqual(tokenizer.tokenize(""    )							,					[]    )

													self.assertListEqual(tokenizer.tokenize("unwanted running"    )							,					["un", "##want", "##ed", "runn", "##ing"]    )

													self.assertListEqual(tokenizer.tokenize("unwantedX running"    )							,					["[UNK]", "runn", "##ing"]    )






						def       lowerCamelCase__     (       self      :			List[Any]    ):
													self.assertTrue(_is_whitespace(" "    )    )
													self.assertTrue(_is_whitespace("\t"    )    )
													self.assertTrue(_is_whitespace("\r"    )    )
													self.assertTrue(_is_whitespace("\n"    )    )
													self.assertTrue(_is_whitespace("\u00A0"    )    )

													self.assertFalse(_is_whitespace("A"    )    )
													self.assertFalse(_is_whitespace("-"    )    )






						def       lowerCamelCase__     (       self      :			List[str]    ):
													self.assertTrue(_is_control("\u0005"    )    )

													self.assertFalse(_is_control("A"    )    )
													self.assertFalse(_is_control(" "    )    )
													self.assertFalse(_is_control("\t"    )    )
													self.assertFalse(_is_control("\r"    )    )






						def       lowerCamelCase__     (       self      :			Union[str, Any]    ):
													self.assertTrue(_is_punctuation("-"    )    )
													self.assertTrue(_is_punctuation("$"    )    )
													self.assertTrue(_is_punctuation("`"    )    )
													self.assertTrue(_is_punctuation("."    )    )

													self.assertFalse(_is_punctuation("A"    )    )
													self.assertFalse(_is_punctuation(" "    )    )






						def       lowerCamelCase__     (       self      :			Dict    ):
													__lowerCamelCase					:		List[Any]		   =     self.get_tokenizer()
													__lowerCamelCase					:		Any		   =     self.get_rust_tokenizer()

													# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
													self.assertListEqual([tokenizer.tokenize(UpperCAmelCase    ) for t in ["Test", "\xad", "test"]]							,					[["[UNK]"], [], ["[UNK]"]]    )

													self.assertListEqual(
													    [rust_tokenizer.tokenize(UpperCAmelCase    ) for t in ["Test", "\xad", "test"]]							,					[["[UNK]"], [], ["[UNK]"]]    )






						@slow
						def       lowerCamelCase__     (       self      :			Tuple    ):
													__lowerCamelCase					:		List[str]		   =     self.tokenizer_class.from_pretrained("bert-base-uncased"    )

													__lowerCamelCase					:		Tuple		   =     tokenizer.encode("sequence builders"							,					add_special_tokens=UpperCAmelCase    )
													__lowerCamelCase					:		Tuple		   =     tokenizer.encode("multi-sequence build"							,					add_special_tokens=UpperCAmelCase    )

													__lowerCamelCase					:		Optional[Any]		   =     tokenizer.build_inputs_with_special_tokens(UpperCAmelCase    )
													__lowerCamelCase					:		Tuple		   =     tokenizer.build_inputs_with_special_tokens(UpperCAmelCase							,					UpperCAmelCase    )

													assert encoded_sentence == [101] + text + [102]
													assert encoded_pair == [101] + text + [102] + text_a + [102]






						def       lowerCamelCase__     (       self      :			Union[str, Any]    ):

													for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																				with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
																											__lowerCamelCase					:		int		   =     self.rust_tokenizer_class.from_pretrained(UpperCAmelCase							,					**UpperCAmelCase    )

																											__lowerCamelCase					:		int		   =     F"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
																											__lowerCamelCase					:		int		   =     tokenizer_r.encode_plus(
																											    UpperCAmelCase							,					return_attention_mask=UpperCAmelCase							,					return_token_type_ids=UpperCAmelCase							,					return_offsets_mapping=UpperCAmelCase							,					add_special_tokens=UpperCAmelCase							,					)

																											__lowerCamelCase					:		Dict		   =     tokenizer_r.do_lower_case if hasattr(UpperCAmelCase							,					"do_lower_case"    ) else False
																											__lowerCamelCase					:		int		   =     (
																											    [
																											        ((0, 0), tokenizer_r.cls_token),
																											        ((0, 1), "A"),
																											        ((1, 2), ","),
																											        ((3, 5), "na"),
																											        ((5, 6), "##ï"),
																											        ((6, 8), "##ve"),
																											        ((9, 15), tokenizer_r.mask_token),
																											        ((16, 21), "Allen"),
																											        ((21, 23), "##NL"),
																											        ((23, 24), "##P"),
																											        ((25, 33), "sentence"),
																											        ((33, 34), "."),
																											        ((0, 0), tokenizer_r.sep_token),
																											    ]
																											    if not do_lower_case
																											    else [
																											        ((0, 0), tokenizer_r.cls_token),
																											        ((0, 1), "a"),
																											        ((1, 2), ","),
																											        ((3, 8), "naive"),
																											        ((9, 15), tokenizer_r.mask_token),
																											        ((16, 21), "allen"),
																											        ((21, 23), "##nl"),
																											        ((23, 24), "##p"),
																											        ((25, 33), "sentence"),
																											        ((33, 34), "."),
																											        ((0, 0), tokenizer_r.sep_token),
																											    ]
																											)

																											self.assertEqual(
																											    [e[1] for e in expected_results]							,					tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]    )    )
																											self.assertEqual([e[0] for e in expected_results]							,					tokens["offset_mapping"]    )







						def       lowerCamelCase__     (       self      :			Dict    ):
													__lowerCamelCase					:		Optional[Any]		   =     ["的", "人", "有"]
													__lowerCamelCase					:		Dict		   =     "".join(UpperCAmelCase    )
													for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																				with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""    ):
																											__lowerCamelCase					:		Union[str, Any]		   =     True
																											__lowerCamelCase					:		List[str]		   =     self.tokenizer_class.from_pretrained(UpperCAmelCase							,					**UpperCAmelCase    )
																											__lowerCamelCase					:		List[str]		   =     self.rust_tokenizer_class.from_pretrained(UpperCAmelCase							,					**UpperCAmelCase    )

																											__lowerCamelCase					:		List[Any]		   =     tokenizer_p.encode(UpperCAmelCase							,					add_special_tokens=UpperCAmelCase    )
																											__lowerCamelCase					:		Union[str, Any]		   =     tokenizer_r.encode(UpperCAmelCase							,					add_special_tokens=UpperCAmelCase    )

																											__lowerCamelCase					:		Dict		   =     tokenizer_r.convert_ids_to_tokens(UpperCAmelCase    )
																											__lowerCamelCase					:		Tuple		   =     tokenizer_p.convert_ids_to_tokens(UpperCAmelCase    )

																											# it is expected that each Chinese character is not preceded by "##"
																											self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )
																											self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )

																											__lowerCamelCase					:		List[str]		   =     False
																											__lowerCamelCase					:		int		   =     self.rust_tokenizer_class.from_pretrained(UpperCAmelCase							,					**UpperCAmelCase    )
																											__lowerCamelCase					:		List[Any]		   =     self.tokenizer_class.from_pretrained(UpperCAmelCase							,					**UpperCAmelCase    )

																											__lowerCamelCase					:		List[str]		   =     tokenizer_r.encode(UpperCAmelCase							,					add_special_tokens=UpperCAmelCase    )
																											__lowerCamelCase					:		List[str]		   =     tokenizer_p.encode(UpperCAmelCase							,					add_special_tokens=UpperCAmelCase    )

																											__lowerCamelCase					:		str		   =     tokenizer_r.convert_ids_to_tokens(UpperCAmelCase    )
																											__lowerCamelCase					:		Union[str, Any]		   =     tokenizer_p.convert_ids_to_tokens(UpperCAmelCase    )

																											# it is expected that only the first Chinese character is not preceded by "##".
																											__lowerCamelCase					:		str		   =     [
																											    F"""##{token}""" if idx != 0 else token for idx, token in enumerate(UpperCAmelCase    )
																											]
																											self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )
																											self.assertListEqual(UpperCAmelCase							,					UpperCAmelCase    )
"""simple docstring"""





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    lowercase_   (   ) ->      None:



							'''simple docstring'''

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

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


def    lowercase_   (   _lowerCamelCase:	str						,   _lowerCamelCase:	str      ) ->      tuple[list, list]:



							'''simple docstring'''

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

														__lowerCamelCase					:		Union[str, Any]		   =     []
														for obj_list in obj_lists:
																					__lowerCamelCase					:		str		   =     obj_list.rstrip("\n"      ).split(" "      )
																					__lowerCamelCase					:		Union[str, Any]		   =     float(obj[1]      ) - float(obj[3]      ) / 2
																					__lowerCamelCase					:		Tuple		   =     float(obj[2]      ) - float(obj[4]      ) / 2
																					__lowerCamelCase					:		Union[str, Any]		   =     float(obj[1]      ) + float(obj[3]      ) / 2
																					__lowerCamelCase					:		Any		   =     float(obj[2]      ) + float(obj[4]      ) / 2

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


def    lowercase_   (   _lowerCamelCase:	list						,   _lowerCamelCase:	list						,   _lowerCamelCase:	list[int]						,   _lowerCamelCase:	tuple[int, int]						,   _lowerCamelCase:	tuple[float, float]						,   _lowerCamelCase:	float = 0.0						,   ) ->      tuple[list, list, str]:



							'''simple docstring'''

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

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



							'''simple docstring'''

							assert number_char > 1, "The number of character should greater than 1"
							__lowerCamelCase					:		Tuple		   =     ascii_lowercase + digits
							return "".join(random.choice(_lowerCamelCase      ) for _ in range(_lowerCamelCase      )      )


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