






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

import cva
SCREAMING_SNAKE_CASE__      :			Optional[int]							=		""""""
SCREAMING_SNAKE_CASE__      :			Any							=		""""""
SCREAMING_SNAKE_CASE__      :			int							=		""""""
SCREAMING_SNAKE_CASE__      :			str							=		1  # (0 is vertical, 1 is horizontal)

def      __lowercase					( ):







				"""simple docstring"""






				__magic_name__     ,				__magic_name__		:Optional[Any]        =      get_dataset(snake_case,  snake_case )
				print('''Processing...''' )
				__magic_name__     ,				__magic_name__     ,				__magic_name__		:Union[str, Any]        =      update_image_and_anno(snake_case,  snake_case,  snake_case )

				for index, image in enumerate(snake_case ):
								# Get random string code: '7b7ad245cdff75241935e4dd860f3bad'
								__magic_name__		:Optional[int]        =      random_chars(3_2 )
								__magic_name__		:Optional[int]        =      paths[index].split(os.sep )[-1].rsplit('''.''',  1 )[0]
								__magic_name__		:Dict        =      f'''{OUTPUT_DIR}/{file_name}_FLIP_{letter_code}'''
								cva.imwrite(f'''/{file_root}.jpg''',  snake_case,  [cva.IMWRITE_JPEG_QUALITY, 8_5] )
								print(f'''Success {index+1}/{len(snake_case )} with {file_name}''' )
								__magic_name__		:Any        =      []
								for anno in new_annos[index]:
												__magic_name__		:Dict        =      f'''{anno[0]} {anno[1]} {anno[2]} {anno[3]} {anno[4]}'''
												annos_list.append(snake_case )
								with open(f'''/{file_root}.txt''',  '''w''' ) as outfile:
												outfile.write('''\n'''.join(line for line in annos_list ) )

def      __lowercase					( snake_case,  snake_case ):







				"""simple docstring"""






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

								__magic_name__		:int        =      []
								for obj_list in obj_lists:
												__magic_name__		:Optional[int]        =      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(snake_case )
								labels.append(snake_case )
				return img_paths, labels

def      __lowercase					( snake_case,  snake_case,  snake_case = 1 ):







				"""simple docstring"""






				__magic_name__		:Tuple        =      []
				__magic_name__		:str        =      []
				__magic_name__		:str        =      []
				for idx in range(len(snake_case ) ):
								__magic_name__		:Dict        =      []
								__magic_name__		:Any        =      img_list[idx]
								path_list.append(snake_case )
								__magic_name__		:str        =      anno_list[idx]
								__magic_name__		:str        =      cva.imread(snake_case )
								if flip_type == 1:
												__magic_name__		:Optional[int]        =      cva.flip(snake_case,  snake_case )
												for bbox in img_annos:
																__magic_name__		:List[str]        =      1 - bbox[1]
																new_annos.append([bbox[0], x_center_new, bbox[2], bbox[3], bbox[4]] )
								elif flip_type == 0:
												__magic_name__		:int        =      cva.flip(snake_case,  snake_case )
												for bbox in img_annos:
																__magic_name__		:Union[str, Any]        =      1 - bbox[2]
																new_annos.append([bbox[0], bbox[1], y_center_new, bbox[3], bbox[4]] )
								new_annos_lists.append(snake_case )
								new_imgs_list.append(snake_case )
				return new_imgs_list, new_annos_lists, path_list

def      __lowercase					( snake_case = 3_2 ):







				"""simple docstring"""






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


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














import argparse
import json
from typing import List

from ltp import LTP

from transformers import BertTokenizer

def      __lowercase					( snake_case ):







				"""simple docstring"""






				if (
				    (cp >= 0x4_e_0_0 and cp <= 0x9_f_f_f)
				    or (cp >= 0x3_4_0_0 and cp <= 0x4_d_b_f)  #
				    or (cp >= 0x2_0_0_0_0 and cp <= 0x2_a_6_d_f)  #
				    or (cp >= 0x2_a_7_0_0 and cp <= 0x2_b_7_3_f)  #
				    or (cp >= 0x2_b_7_4_0 and cp <= 0x2_b_8_1_f)  #
				    or (cp >= 0x2_b_8_2_0 and cp <= 0x2_c_e_a_f)  #
				    or (cp >= 0xf_9_0_0 and cp <= 0xf_a_f_f)
				    or (cp >= 0x2_f_8_0_0 and cp <= 0x2_f_a_1_f)  #
				):  #
								return True

				return False

def      __lowercase					( snake_case ):







				"""simple docstring"""






				for char in word:
								__magic_name__		:Union[str, Any]        =      ord(snake_case )
								if not _is_chinese_char(snake_case ):
												return 0
				return 1

def      __lowercase					( snake_case ):







				"""simple docstring"""






				__magic_name__		:Any        =      set()

				for token in tokens:
								__magic_name__		:Dict        =      len(snake_case ) > 1 and is_chinese(snake_case )
								if chinese_word:
												word_set.add(snake_case )
				__magic_name__		:str        =      list(snake_case )
				return word_list

def      __lowercase					( snake_case,  snake_case ):







				"""simple docstring"""






				if not chinese_word_set:
								return bert_tokens
				__magic_name__		:int        =      max([len(snake_case ) for w in chinese_word_set] )

				__magic_name__		:Any        =      bert_tokens
				__magic_name__     ,				__magic_name__		:List[Any]        =      0, len(snake_case )
				while start < end:
								__magic_name__		:str        =      True
								if is_chinese(bert_word[start] ):
												__magic_name__		:Optional[Any]        =      min(end - start,  snake_case )
												for i in range(snake_case,  1,  -1 ):
																__magic_name__		:Any        =      ''''''.join(bert_word[start : start + i] )
																if whole_word in chinese_word_set:
																				for j in range(start + 1,  start + i ):
																								__magic_name__		:Optional[int]        =      '''##''' + bert_word[j]
																				__magic_name__		:List[str]        =      start + i
																				__magic_name__		:Optional[Any]        =      False
																				break
								if single_word:
												start += 1
				return bert_word

def      __lowercase					( snake_case,  snake_case,  snake_case ):







				"""simple docstring"""






				__magic_name__		:Optional[int]        =      []

				for i in range(0,  len(snake_case ),  1_0_0 ):
								__magic_name__		:List[str]        =      ltp_tokenizer.seg(lines[i : i + 1_0_0] )[0]
								__magic_name__		:List[str]        =      [get_chinese_word(snake_case ) for r in res]
								ltp_res.extend(snake_case )
				assert len(snake_case ) == len(snake_case )

				__magic_name__		:Union[str, Any]        =      []
				for i in range(0,  len(snake_case ),  1_0_0 ):
								__magic_name__		:str        =      bert_tokenizer(lines[i : i + 1_0_0],  add_special_tokens=snake_case,  truncation=snake_case,  max_length=5_1_2 )
								bert_res.extend(res['''input_ids'''] )
				assert len(snake_case ) == len(snake_case )

				__magic_name__		:Union[str, Any]        =      []
				for input_ids, chinese_word in zip(snake_case,  snake_case ):
								__magic_name__		:Any        =      []
								for id in input_ids:
												__magic_name__		:List[Any]        =      bert_tokenizer._convert_id_to_token(snake_case )
												input_tokens.append(snake_case )
								__magic_name__		:Dict        =      add_sub_symbol(snake_case,  snake_case )
								__magic_name__		:Optional[Any]        =      []
								# We only save pos of chinese subwords start with ##, which mean is part of a whole word.
								for i, token in enumerate(snake_case ):
												if token[:2] == "##":
																__magic_name__		:Optional[int]        =      token[2:]
																# save chinese tokens' pos
																if len(snake_case ) == 1 and _is_chinese_char(ord(snake_case ) ):
																				ref_id.append(snake_case )
								ref_ids.append(snake_case )

				assert len(snake_case ) == len(snake_case )

				return ref_ids

def      __lowercase					( snake_case ):







				"""simple docstring"""






				with open(args.file_name,  '''r''',  encoding='''utf-8''' ) as f:
								__magic_name__		:Union[str, Any]        =      f.readlines()
				__magic_name__		:int        =      [line.strip() for line in data if len(snake_case ) > 0 and not line.isspace()]  # avoid delimiter like '\u2029'
				__magic_name__		:List[Any]        =      LTP(args.ltp )  # faster in GPU device
				__magic_name__		:List[str]        =      BertTokenizer.from_pretrained(args.bert )

				__magic_name__		:Optional[int]        =      prepare_ref(snake_case,  snake_case,  snake_case )

				with open(args.save_path,  '''w''',  encoding='''utf-8''' ) as f:
								__magic_name__		:Dict        =      [json.dumps(snake_case ) + '''\n''' for ref in ref_ids]
								f.writelines(snake_case )


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE__      :			Tuple							=		argparse.ArgumentParser(description="""prepare_chinese_ref""")
					parser.add_argument(
					    """--file_name""",
					    type=str,
					    default="""./resources/chinese-demo.txt""",
					    help="""file need process, same as training data in lm""",
					)
					parser.add_argument(
					    """--ltp""", type=str, default="""./resources/ltp""", help="""resources for LTP tokenizer, usually a path"""
					)
					parser.add_argument("""--bert""", type=str, default="""./resources/robert""", help="""resources for Bert tokenizer""")
					parser.add_argument("""--save_path""", type=str, default="""./resources/ref.txt""", help="""path to save res""")

					SCREAMING_SNAKE_CASE__      :			int							=		parser.parse_args()
					main(args)






