

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

import cva
import numpy as np

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





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					get_dataset(_A   ,	_A       )
     for index in range(_A       ):
          SCREAMING_SNAKE_CASE__					=					random.sample(range(len(_A       )       )   ,	4       )
          SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__,SCREAMING_SNAKE_CASE__					=					update_image_and_anno(
              _A   ,	_A   ,	_A   ,	_A   ,	_A   ,	filter_scale=_A   ,	)

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





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					[]
     SCREAMING_SNAKE_CASE__					=					[]
     for label_file in glob.glob(os.path.join(_A   ,	'''*.txt'''       )       ):
          SCREAMING_SNAKE_CASE__					=					label_file.split(os.sep       )[-1].rsplit('''.'''   ,	1       )[0]
          with open(_A       ) as in_file:
               SCREAMING_SNAKE_CASE__					=					in_file.readlines()
          SCREAMING_SNAKE_CASE__					=					os.path.join(_A   ,	F'''{label_name}.jpg'''       )

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

               boxes.append([int(obj[0]       ), xmin, ymin, xmax, ymax]       )
          if not boxes:
               continue
          img_paths.append(_A       )
          labels.append(_A       )
     return img_paths, labels
def        UpperCAmelCase_     (		_A   ,	_A   ,	_A   ,	_A   ,	_A   ,	_A = 0.0   ,	):





     '''simple docstring'''




     SCREAMING_SNAKE_CASE__					=					np.zeros([output_size[0], output_size[1], 3]   ,	dtype=np.uinta       )
     SCREAMING_SNAKE_CASE__					=					scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
     SCREAMING_SNAKE_CASE__					=					scale_range[0] + random.random() * (scale_range[1] - scale_range[0])
     SCREAMING_SNAKE_CASE__					=					int(scale_x * output_size[1]       )
     SCREAMING_SNAKE_CASE__					=					int(scale_y * output_size[0]       )

     SCREAMING_SNAKE_CASE__					=					[]
     SCREAMING_SNAKE_CASE__					=					[]
     for i, index in enumerate(_A       ):
          SCREAMING_SNAKE_CASE__					=					all_img_list[index]
          path_list.append(_A       )
          SCREAMING_SNAKE_CASE__					=					all_annos[index]
          SCREAMING_SNAKE_CASE__					=					cva.imread(_A       )
          if i == 0:  # top-left
               SCREAMING_SNAKE_CASE__					=					cva.resize(_A   ,	(divid_point_x, divid_point_y)       )
               SCREAMING_SNAKE_CASE__					=					img
               for bbox in img_annos:
                    SCREAMING_SNAKE_CASE__					=					bbox[1] * scale_x
                    SCREAMING_SNAKE_CASE__					=					bbox[2] * scale_y
                    SCREAMING_SNAKE_CASE__					=					bbox[3] * scale_x
                    SCREAMING_SNAKE_CASE__					=					bbox[4] * scale_y
                    new_anno.append([bbox[0], xmin, ymin, xmax, ymax]       )
          elif i == 1:  # top-right
               SCREAMING_SNAKE_CASE__					=					cva.resize(_A   ,	(output_size[1] - divid_point_x, divid_point_y)       )
               SCREAMING_SNAKE_CASE__					=					img
               for bbox in img_annos:
                    SCREAMING_SNAKE_CASE__					=					scale_x + bbox[1] * (1 - scale_x)
                    SCREAMING_SNAKE_CASE__					=					bbox[2] * scale_y
                    SCREAMING_SNAKE_CASE__					=					scale_x + bbox[3] * (1 - scale_x)
                    SCREAMING_SNAKE_CASE__					=					bbox[4] * scale_y
                    new_anno.append([bbox[0], xmin, ymin, xmax, ymax]       )
          elif i == 2:  # bottom-left
               SCREAMING_SNAKE_CASE__					=					cva.resize(_A   ,	(divid_point_x, output_size[0] - divid_point_y)       )
               SCREAMING_SNAKE_CASE__					=					img
               for bbox in img_annos:
                    SCREAMING_SNAKE_CASE__					=					bbox[1] * scale_x
                    SCREAMING_SNAKE_CASE__					=					scale_y + bbox[2] * (1 - scale_y)
                    SCREAMING_SNAKE_CASE__					=					bbox[3] * scale_x
                    SCREAMING_SNAKE_CASE__					=					scale_y + bbox[4] * (1 - scale_y)
                    new_anno.append([bbox[0], xmin, ymin, xmax, ymax]       )
          else:  # bottom-right
               SCREAMING_SNAKE_CASE__					=					cva.resize(
                   _A   ,	(output_size[1] - divid_point_x, output_size[0] - divid_point_y)       )
               SCREAMING_SNAKE_CASE__					=					img
               for bbox in img_annos:
                    SCREAMING_SNAKE_CASE__					=					scale_x + bbox[1] * (1 - scale_x)
                    SCREAMING_SNAKE_CASE__					=					scale_y + bbox[2] * (1 - scale_y)
                    SCREAMING_SNAKE_CASE__					=					scale_x + bbox[3] * (1 - scale_x)
                    SCREAMING_SNAKE_CASE__					=					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__					=					[
              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        UpperCAmelCase_     (		_A       ):





     '''simple docstring'''




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


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





import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

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


_SCREAMING_SNAKE_CASE  :						Union[str, Any]         =    logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE  :						int         =    {'''vocab_file''': '''spiece.model'''}

_SCREAMING_SNAKE_CASE  :						int         =    {
    '''vocab_file''': {
        '''xlnet-base-cased''': '''https://huggingface.co/xlnet-base-cased/resolve/main/spiece.model''',
        '''xlnet-large-cased''': '''https://huggingface.co/xlnet-large-cased/resolve/main/spiece.model''',
    }
}

_SCREAMING_SNAKE_CASE  :						List[Any]         =    {
    '''xlnet-base-cased''': None,
    '''xlnet-large-cased''': None,
}

# Segments (not really needed)
_SCREAMING_SNAKE_CASE  :						Optional[int]         =    0
_SCREAMING_SNAKE_CASE  :						Optional[Any]         =    1
_SCREAMING_SNAKE_CASE  :						int         =    2
_SCREAMING_SNAKE_CASE  :						str         =    3
_SCREAMING_SNAKE_CASE  :						str         =    4






class  UpperCAmelCase__	( A__ ):






  """simple docstring"""


  a     =      VOCAB_FILES_NAMES
  a     =      PRETRAINED_VOCAB_FILES_MAP
  a     =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a     =      "left"






  def __init__(							self		:	Optional[int]			,     __lowerCamelCase		:	Tuple			,     __lowerCamelCase		:	List[str]=False			,     __lowerCamelCase		:	Optional[Any]=True			,     __lowerCamelCase		:	Optional[Any]=False			,     __lowerCamelCase		:	List[str]="<s>"			,     __lowerCamelCase		:	Any="</s>"			,     __lowerCamelCase		:	Tuple="<unk>"			,     __lowerCamelCase		:	List[str]="<sep>"			,     __lowerCamelCase		:	List[str]="<pad>"			,     __lowerCamelCase		:	int="<cls>"			,     __lowerCamelCase		:	Any="<mask>"			,     __lowerCamelCase		:	Dict=["<eop>", "<eod>"]			,     __lowerCamelCase		:	Optional[Dict[str, Any]] = None			,     **__lowerCamelCase		:	int			,     )	->							None:
       # Mask token behave like a normal word, i.e. include the space before it
       SCREAMING_SNAKE_CASE__					=					AddedToken(__lowerCamelCase			,     lstrip=__lowerCamelCase			,     rstrip=__lowerCamelCase      ) if isinstance(__lowerCamelCase			,     __lowerCamelCase      ) else mask_token

       SCREAMING_SNAKE_CASE__					=					{} if sp_model_kwargs is None else sp_model_kwargs

       super().__init__(
           do_lower_case=__lowerCamelCase			,     remove_space=__lowerCamelCase			,     keep_accents=__lowerCamelCase			,     bos_token=__lowerCamelCase			,     eos_token=__lowerCamelCase			,     unk_token=__lowerCamelCase			,     sep_token=__lowerCamelCase			,     pad_token=__lowerCamelCase			,     cls_token=__lowerCamelCase			,     mask_token=__lowerCamelCase			,     additional_special_tokens=__lowerCamelCase			,     sp_model_kwargs=self.sp_model_kwargs			,     **__lowerCamelCase			,     )

       SCREAMING_SNAKE_CASE__					=					3

       SCREAMING_SNAKE_CASE__					=					do_lower_case
       SCREAMING_SNAKE_CASE__					=					remove_space
       SCREAMING_SNAKE_CASE__					=					keep_accents
       SCREAMING_SNAKE_CASE__					=					vocab_file

       SCREAMING_SNAKE_CASE__					=					spm.SentencePieceProcessor(**self.sp_model_kwargs      )
       self.sp_model.Load(__lowerCamelCase      )






  @property
  def    lowercase_	(							self		:	Optional[Any]      )	->							Union[str, Any]:
       return len(self.sp_model      )






  def    lowercase_	(							self		:	Tuple      )	->							Dict:
       SCREAMING_SNAKE_CASE__					=					{self.convert_ids_to_tokens(__lowerCamelCase      ): i for i in range(self.vocab_size      )}
       vocab.update(self.added_tokens_encoder      )
       return vocab






  def __getstate__(							self		:	List[Any]      )	->							List[Any]:
       SCREAMING_SNAKE_CASE__					=					self.__dict__.copy()
       SCREAMING_SNAKE_CASE__					=					None
       return state






  def __setstate__(							self		:	Any			,     __lowerCamelCase		:	Tuple      )	->							Tuple:
       SCREAMING_SNAKE_CASE__					=					d

       # for backward compatibility
       if not hasattr(self			,     '''sp_model_kwargs'''      ):
            SCREAMING_SNAKE_CASE__					=					{}

       SCREAMING_SNAKE_CASE__					=					spm.SentencePieceProcessor(**self.sp_model_kwargs      )
       self.sp_model.Load(self.vocab_file      )






  def    lowercase_	(							self		:	Union[str, Any]			,     __lowerCamelCase		:	Union[str, Any]      )	->							List[str]:
       if self.remove_space:
            SCREAMING_SNAKE_CASE__					=					''' '''.join(inputs.strip().split()      )
       else:
            SCREAMING_SNAKE_CASE__					=					inputs
       SCREAMING_SNAKE_CASE__					=					outputs.replace('''``'''			,     '''"'''      ).replace('''\'\''''			,     '''"'''      )

       if not self.keep_accents:
            SCREAMING_SNAKE_CASE__					=					unicodedata.normalize('''NFKD'''			,     __lowerCamelCase      )
            SCREAMING_SNAKE_CASE__					=					''''''.join([c for c in outputs if not unicodedata.combining(__lowerCamelCase      )]      )
       if self.do_lower_case:
            SCREAMING_SNAKE_CASE__					=					outputs.lower()

       return outputs






  def    lowercase_	(							self		:	Any			,     __lowerCamelCase		:	str      )	->							List[str]:
       SCREAMING_SNAKE_CASE__					=					self.preprocess_text(__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					self.sp_model.encode(__lowerCamelCase			,     out_type=__lowerCamelCase      )
       SCREAMING_SNAKE_CASE__					=					[]
       for piece in pieces:
            if len(__lowerCamelCase      ) > 1 and piece[-1] == str(''','''      ) and piece[-2].isdigit():
                 SCREAMING_SNAKE_CASE__					=					self.sp_model.EncodeAsPieces(piece[:-1].replace(__lowerCamelCase			,     ''''''      )      )
                 if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
                      if len(cur_pieces[0]      ) == 1:
                           SCREAMING_SNAKE_CASE__					=					cur_pieces[1:]
                      else:
                           SCREAMING_SNAKE_CASE__					=					cur_pieces[0][1:]
                 cur_pieces.append(piece[-1]      )
                 new_pieces.extend(__lowerCamelCase      )
            else:
                 new_pieces.append(__lowerCamelCase      )

       return new_pieces






  def    lowercase_	(							self		:	List[Any]			,     __lowerCamelCase		:	Optional[int]      )	->							Optional[Any]:
       return self.sp_model.PieceToId(__lowerCamelCase      )






  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	Tuple      )	->							List[Any]:
       return self.sp_model.IdToPiece(__lowerCamelCase      )






  def    lowercase_	(							self		:	int			,     __lowerCamelCase		:	Tuple      )	->							Optional[Any]:
       SCREAMING_SNAKE_CASE__					=					''''''.join(__lowerCamelCase      ).replace(__lowerCamelCase			,     ''' '''      ).strip()
       return out_string






  def    lowercase_	(							self		:	Union[str, Any]			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	bool = False			,     __lowerCamelCase		:	bool = None			,     __lowerCamelCase		:	bool = True			,     **__lowerCamelCase		:	int			,     )	->							str:
       SCREAMING_SNAKE_CASE__					=					kwargs.pop('''use_source_tokenizer'''			,     __lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					self.convert_ids_to_tokens(__lowerCamelCase			,     skip_special_tokens=__lowerCamelCase      )

       # To avoid mixing byte-level and unicode for byte-level BPT
       # we need to build string separately for added tokens and byte-level tokens
       # cf. https://github.com/huggingface/transformers/issues/1133
       SCREAMING_SNAKE_CASE__					=					[]
       SCREAMING_SNAKE_CASE__					=					[]
       for token in filtered_tokens:
            if skip_special_tokens and token in self.all_special_ids:
                 continue
            if token in self.added_tokens_encoder:
                 if current_sub_text:
                      sub_texts.append(self.convert_tokens_to_string(__lowerCamelCase      )      )
                      SCREAMING_SNAKE_CASE__					=					[]
                 sub_texts.append(__lowerCamelCase      )
            else:
                 current_sub_text.append(__lowerCamelCase      )
       if current_sub_text:
            sub_texts.append(self.convert_tokens_to_string(__lowerCamelCase      )      )

       # Mimic the behavior of the Rust tokenizer:
       # By default, there are no spaces between special tokens
       SCREAMING_SNAKE_CASE__					=					''''''.join(__lowerCamelCase      )

       SCREAMING_SNAKE_CASE__					=					(
           clean_up_tokenization_spaces
           if clean_up_tokenization_spaces is not None
           else self.clean_up_tokenization_spaces
       )
       if clean_up_tokenization_spaces:
            SCREAMING_SNAKE_CASE__					=					self.clean_up_tokenization(__lowerCamelCase      )
            return clean_text
       else:
            return text






  def    lowercase_	(							self		:	Dict			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	Optional[List[int]] = None      )	->							List[int]:
       SCREAMING_SNAKE_CASE__					=					[self.sep_token_id]
       SCREAMING_SNAKE_CASE__					=					[self.cls_token_id]
       if token_ids_a is None:
            return token_ids_a + sep + cls
       return token_ids_a + sep + token_ids_a + sep + cls






  def    lowercase_	(							self		:	List[Any]			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	Optional[List[int]] = None			,     __lowerCamelCase		:	bool = False      )	->							List[int]:

       if already_has_special_tokens:
            return super().get_special_tokens_mask(
                token_ids_a=__lowerCamelCase			,     token_ids_a=__lowerCamelCase			,     already_has_special_tokens=__lowerCamelCase      )

       if token_ids_a is not None:
            return ([0] * len(__lowerCamelCase      )) + [1] + ([0] * len(__lowerCamelCase      )) + [1, 1]
       return ([0] * len(__lowerCamelCase      )) + [1, 1]






  def    lowercase_	(							self		:	List[str]			,     __lowerCamelCase		:	List[int]			,     __lowerCamelCase		:	Optional[List[int]] = None      )	->							List[int]:
       SCREAMING_SNAKE_CASE__					=					[self.sep_token_id]
       SCREAMING_SNAKE_CASE__					=					[2]

       if token_ids_a is None:
            return len(token_ids_a + sep      ) * [0] + cls_segment_id
       return len(token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1] + cls_segment_id







  def    lowercase_	(							self		:	str			,     __lowerCamelCase		:	str			,     __lowerCamelCase		:	Optional[str] = None      )	->							Tuple[str]:
       if not os.path.isdir(__lowerCamelCase      ):
            logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''      )
            return
       SCREAMING_SNAKE_CASE__					=					os.path.join(
           __lowerCamelCase			,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

       if os.path.abspath(self.vocab_file      ) != os.path.abspath(__lowerCamelCase      ) and os.path.isfile(self.vocab_file      ):
            copyfile(self.vocab_file			,     __lowerCamelCase      )
       elif not os.path.isfile(self.vocab_file      ):
            with open(__lowerCamelCase			,     '''wb'''      ) as fi:
                 SCREAMING_SNAKE_CASE__					=					self.sp_model.serialized_model_proto()
                 fi.write(__lowerCamelCase      )

       return (out_vocab_file,)


