

import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union

from .. import config
from .filelock import FileLock
from .logging import get_logger


__lowercase     : Optional[int]       =						get_logger(__name__)



class 						_A     :





  '''simple docstring'''



  def __init__(  self   ,SCREAMING_SNAKE_CASE_ = None    ):

      '''simple docstring'''
      snake_case							:		Optional[int]        =		(
          os.path.join(SCREAMING_SNAKE_CASE_   ,config.EXTRACTED_DATASETS_DIR    ) if cache_dir else config.EXTRACTED_DATASETS_PATH
      )
      snake_case							:		Union[str, Any]        =		Extractor





  def    snake_case_       (  self   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      from .file_utils import hash_url_to_filename

      # Path where we extract compressed archives
      # We extract in the cache dir, and get the extracted path name by hashing the original path"
      snake_case							:		str        =		os.path.abspath(SCREAMING_SNAKE_CASE_    )
      return os.path.join(self.extract_dir   ,hash_url_to_filename(SCREAMING_SNAKE_CASE_    )    )





  def    snake_case_       (  self   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      return force_extract or (
          not os.path.isfile(SCREAMING_SNAKE_CASE_    ) and not (os.path.isdir(SCREAMING_SNAKE_CASE_    ) and os.listdir(SCREAMING_SNAKE_CASE_    ))
      )





  def    snake_case_       (  self   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_ = False    ):

      '''simple docstring'''
      snake_case							:		Optional[Any]        =		self.extractor.infer_extractor_format(SCREAMING_SNAKE_CASE_    )
      if not extractor_format:
          return input_path
      snake_case							:		int        =		self._get_output_path(SCREAMING_SNAKE_CASE_    )
      if self._do_extract(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):
          self.extractor.extract(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )
      return output_path







class 						_A     (				snake_case				):





  '''simple docstring'''



  @classmethod
  @abstractmethod
  def    snake_case_       (  cls   ,SCREAMING_SNAKE_CASE_   ,**SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      ...





  @staticmethod
  @abstractmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      ...







class 						_A     (				snake_case						,    snake_case				):





  '''simple docstring'''



  __lowerCamelCase			:      List[bytes]					=   []





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      with open(SCREAMING_SNAKE_CASE_   ,"""rb"""    ) as f:
          return f.read(SCREAMING_SNAKE_CASE_    )





  @classmethod
  def    snake_case_       (  cls   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_ = b""    ):

      '''simple docstring'''
      if not magic_number:
          snake_case							:		str        =		max(len(SCREAMING_SNAKE_CASE_    ) for cls_magic_number in cls.magic_numbers    )
          try:
              snake_case							:		Dict        =		cls.read_magic_number(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )
          except OSError:
              return False
      return any(magic_number.startswith(SCREAMING_SNAKE_CASE_    ) for cls_magic_number in cls.magic_numbers    )







class 						_A     (				snake_case				):





  '''simple docstring'''



  @classmethod
  def    snake_case_       (  cls   ,SCREAMING_SNAKE_CASE_   ,**SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      return tarfile.is_tarfile(SCREAMING_SNAKE_CASE_    )





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''

      def resolved(SCREAMING_SNAKE_CASE_    ) -> str:
          return os.path.realpath(os.path.abspath(SCREAMING_SNAKE_CASE_    )    )

      def badpath(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ) -> bool:
          # joinpath will ignore base if path is absolute
          return not resolved(os.path.join(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )    ).startswith(SCREAMING_SNAKE_CASE_    )

      def badlink(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ) -> bool:
          # Links are interpreted relative to the directory containing the link
          snake_case							:		Optional[Any]        =		resolved(os.path.join(SCREAMING_SNAKE_CASE_   ,os.path.dirname(info.name    )    )    )
          return badpath(info.linkname   ,base=SCREAMING_SNAKE_CASE_    )

      snake_case							:		Dict        =		resolved(SCREAMING_SNAKE_CASE_    )

      for finfo in members:
          if badpath(finfo.name   ,SCREAMING_SNAKE_CASE_    ):
              logger.error(F"""Extraction of {finfo.name} is blocked (illegal path)"""    )
          elif finfo.issym() and badlink(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):
              logger.error(F"""Extraction of {finfo.name} is blocked: Symlink to {finfo.linkname}"""    )
          elif finfo.islnk() and badlink(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):
              logger.error(F"""Extraction of {finfo.name} is blocked: Hard link to {finfo.linkname}"""    )
          else:
              yield finfo





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      os.makedirs(SCREAMING_SNAKE_CASE_   ,exist_ok=SCREAMING_SNAKE_CASE_    )
      snake_case							:		List[str]        =		tarfile.open(SCREAMING_SNAKE_CASE_    )
      tar_file.extractall(SCREAMING_SNAKE_CASE_   ,members=TarExtractor.safemembers(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )    )
      tar_file.close()







class 						_A     (				snake_case				):





  '''simple docstring'''



  __lowerCamelCase			:      str					=   [B'''\x1F\x8B''']





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      with gzip.open(SCREAMING_SNAKE_CASE_   ,"""rb"""    ) as gzip_file:
          with open(SCREAMING_SNAKE_CASE_   ,"""wb"""    ) as extracted_file:
              shutil.copyfileobj(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )







class 						_A     (				snake_case				):





  '''simple docstring'''



  __lowerCamelCase			:      List[str]					=   [
      B'''PK\x03\x04''',
      B'''PK\x05\x06''',  # empty archive
      B'''PK\x07\x08''',  # spanned archive
  ]





  @classmethod
  def    snake_case_       (  cls   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_ = b""    ):

      '''simple docstring'''
      if super().is_extractable(SCREAMING_SNAKE_CASE_   ,magic_number=SCREAMING_SNAKE_CASE_    ):
          return True
      try:
          # Alternative version of zipfile.is_zipfile that has less false positives, but misses executable zip archives.
          # From: https://github.com/python/cpython/pull/5053
          from zipfile import (
              _CD_SIGNATURE,
              _ECD_DISK_NUMBER,
              _ECD_DISK_START,
              _ECD_ENTRIES_TOTAL,
              _ECD_OFFSET,
              _ECD_SIZE,
              _EndRecData,
              sizeCentralDir,
              stringCentralDir,
              structCentralDir,
          )

          with open(SCREAMING_SNAKE_CASE_   ,"""rb"""    ) as fp:
              snake_case							:		List[Any]        =		_EndRecData(SCREAMING_SNAKE_CASE_    )
              if endrec:
                  if endrec[_ECD_ENTRIES_TOTAL] == 0 and endrec[_ECD_SIZE] == 0 and endrec[_ECD_OFFSET] == 0:
                      return True  # Empty zipfiles are still zipfiles
                  elif endrec[_ECD_DISK_NUMBER] == endrec[_ECD_DISK_START]:
                      fp.seek(endrec[_ECD_OFFSET]    )  # Central directory is on the same disk
                      if fp.tell() == endrec[_ECD_OFFSET] and endrec[_ECD_SIZE] >= sizeCentralDir:
                          snake_case							:		List[Any]        =		fp.read(SCREAMING_SNAKE_CASE_    )  # CD is where we expect it to be
                          if len(SCREAMING_SNAKE_CASE_    ) == sizeCentralDir:
                              snake_case							:		str        =		struct.unpack(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )  # CD is the right size
                              if centdir[_CD_SIGNATURE] == stringCentralDir:
                                  return True  # First central directory entry  has correct magic number
          return False
      except Exception:  # catch all errors in case future python versions change the zipfile internals
          return False





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      os.makedirs(SCREAMING_SNAKE_CASE_   ,exist_ok=SCREAMING_SNAKE_CASE_    )
      with zipfile.ZipFile(SCREAMING_SNAKE_CASE_   ,"""r"""    ) as zip_file:
          zip_file.extractall(SCREAMING_SNAKE_CASE_    )
          zip_file.close()







class 						_A     (				snake_case				):





  '''simple docstring'''



  __lowerCamelCase			:      Union[str, Any]					=   [B'''\xFD\x37\x7A\x58\x5A\x00''']





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      with lzma.open(SCREAMING_SNAKE_CASE_    ) as compressed_file:
          with open(SCREAMING_SNAKE_CASE_   ,"""wb"""    ) as extracted_file:
              shutil.copyfileobj(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )







class 						_A     (				snake_case				):





  '''simple docstring'''



  __lowerCamelCase			:      Union[str, Any]					=   [B'''Rar!\x1a\x07\x00''', B'''Rar!\x1a\x07\x01\x00''']  # RAR_ID  # RAR5_ID





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      if not config.RARFILE_AVAILABLE:
          raise ImportError("""Please pip install rarfile"""    )
      import rarfile

      os.makedirs(SCREAMING_SNAKE_CASE_   ,exist_ok=SCREAMING_SNAKE_CASE_    )
      snake_case							:		Optional[Any]        =		rarfile.RarFile(SCREAMING_SNAKE_CASE_    )
      rf.extractall(SCREAMING_SNAKE_CASE_    )
      rf.close()







class 						_A     (				snake_case				):





  '''simple docstring'''



  __lowerCamelCase			:      Optional[int]					=   [B'''\x28\xb5\x2F\xFD''']





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      if not config.ZSTANDARD_AVAILABLE:
          raise ImportError("""Please pip install zstandard"""    )
      import zstandard as zstd

      snake_case							:		Any        =		zstd.ZstdDecompressor()
      with open(SCREAMING_SNAKE_CASE_   ,"""rb"""    ) as ifh, open(SCREAMING_SNAKE_CASE_   ,"""wb"""    ) as ofh:
          dctx.copy_stream(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )







class 						_A     (				snake_case				):





  '''simple docstring'''



  __lowerCamelCase			:      List[Any]					=   [B'''\x42\x5A\x68''']





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      with bza.open(SCREAMING_SNAKE_CASE_   ,"""rb"""    ) as compressed_file:
          with open(SCREAMING_SNAKE_CASE_   ,"""wb"""    ) as extracted_file:
              shutil.copyfileobj(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )







class 						_A     (				snake_case				):





  '''simple docstring'''



  __lowerCamelCase			:      Dict					=   [B'''\x37\x7A\xBC\xAF\x27\x1C''']





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      if not config.PY7ZR_AVAILABLE:
          raise ImportError("""Please pip install py7zr"""    )
      import pyazr

      os.makedirs(SCREAMING_SNAKE_CASE_   ,exist_ok=SCREAMING_SNAKE_CASE_    )
      with pyazr.SevenZipFile(SCREAMING_SNAKE_CASE_   ,"""r"""    ) as archive:
          archive.extractall(SCREAMING_SNAKE_CASE_    )







class 						_A     (				snake_case				):





  '''simple docstring'''



  __lowerCamelCase			:      Any					=   [B'''\x04\x22\x4D\x18''']





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      if not config.LZ4_AVAILABLE:
          raise ImportError("""Please pip install lz4"""    )
      import lza.frame

      with lza.frame.open(SCREAMING_SNAKE_CASE_   ,"""rb"""    ) as compressed_file:
          with open(SCREAMING_SNAKE_CASE_   ,"""wb"""    ) as extracted_file:
              shutil.copyfileobj(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )







class 						_A     :





  '''simple docstring'''



  __lowerCamelCase			:      Dict[str, Type[BaseExtractor]]					=   {
      "tar": TarExtractor,
      "gzip": GzipExtractor,
      "zip": ZipExtractor,
      "xz": XzExtractor,
      "rar": RarExtractor,
      "zstd": ZstdExtractor,
      "bz2": BzipaExtractor,
      "7z": SevenZipExtractor,  # <Added version="2.4.0"/>
      "lz4": LzaExtractor,  # <Added version="2.4.0"/>
  }





  @classmethod
  def    snake_case_       (  cls    ):

      '''simple docstring'''
      return max(
          len(SCREAMING_SNAKE_CASE_    )
          for extractor in cls.extractors.values()
          if issubclass(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )
          for extractor_magic_number in extractor.magic_numbers    )





  @staticmethod
  def    snake_case_       (  SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):

      '''simple docstring'''
      try:
          return MagicNumberBaseExtractor.read_magic_number(SCREAMING_SNAKE_CASE_   ,magic_number_length=SCREAMING_SNAKE_CASE_    )
      except OSError:
          return b""





  @classmethod
  def    snake_case_       (  cls   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_ = False    ):

      '''simple docstring'''
      warnings.warn(
          """Method 'is_extractable' was deprecated in version 2.4.0 and will be removed in 3.0.0. """
          """Use 'infer_extractor_format' instead."""   ,category=SCREAMING_SNAKE_CASE_   ,)
      snake_case							:		Union[str, Any]        =		cls.infer_extractor_format(SCREAMING_SNAKE_CASE_    )
      if extractor_format:
          return True if not return_extractor else (True, cls.extractors[extractor_format])
      return False if not return_extractor else (False, None)





  @classmethod
  def    snake_case_       (  cls   ,SCREAMING_SNAKE_CASE_    ):  # <Added version="2.4.0"/>

      '''simple docstring'''
      snake_case							:		str        =		cls._get_magic_number_max_length()
      snake_case							:		Optional[Any]        =		cls._read_magic_number(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )
      for extractor_format, extractor in cls.extractors.items():
          if extractor.is_extractable(SCREAMING_SNAKE_CASE_   ,magic_number=SCREAMING_SNAKE_CASE_    ):
              return extractor_format





  @classmethod
  def    snake_case_       (  cls   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_ = None   ,SCREAMING_SNAKE_CASE_ = "deprecated"   ,):

      '''simple docstring'''
      os.makedirs(os.path.dirname(SCREAMING_SNAKE_CASE_    )   ,exist_ok=SCREAMING_SNAKE_CASE_    )
      # Prevent parallel extractions
      snake_case							:		str        =		str(Path(SCREAMING_SNAKE_CASE_    ).with_suffix(""".lock"""    )    )
      with FileLock(SCREAMING_SNAKE_CASE_    ):
          shutil.rmtree(SCREAMING_SNAKE_CASE_   ,ignore_errors=SCREAMING_SNAKE_CASE_    )
          if extractor_format or extractor != "deprecated":
              if extractor != "deprecated" or not isinstance(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):  # passed as positional arg
                  warnings.warn(
                      """Parameter 'extractor' was deprecated in version 2.4.0 and will be removed in 3.0.0. """
                      """Use 'extractor_format' instead."""   ,category=SCREAMING_SNAKE_CASE_   ,)
                  snake_case							:		Dict        =		extractor if extractor != """deprecated""" else extractor_format
              else:
                  snake_case							:		Optional[Any]        =		cls.extractors[extractor_format]
              return extractor.extract(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )
          else:
              warnings.warn(
                  """Parameter 'extractor_format' was made required in version 2.4.0 and not passing it will raise an """
                  """exception in 3.0.0."""   ,category=SCREAMING_SNAKE_CASE_   ,)
              for extractor in cls.extractors.values():
                  if extractor.is_extractable(SCREAMING_SNAKE_CASE_    ):
                      return extractor.extract(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    )










'''simple docstring'''




import sys
from typing import Tuple

import numpy as np
import torch
from PIL import Image
from torch import nn

from transformers.image_utils import PILImageResampling
from utils import img_tensorize


class 					SCREAMING_SNAKE_CASE       :


     def __init__(		self		,      _UpperCAmelCase		,      _UpperCAmelCase=sys.maxsize):

          '''simple docstring'''






          __A		:					Union[str, Any]						=			'bilinear'
          __A		:					int						=			max_size
          __A		:					Optional[Any]						=			short_edge_length


     def __call__(		self		,      _UpperCAmelCase):

          '''simple docstring'''






          __A		:					int						=			[]
          for img in imgs:
               __A					,__A		:					Dict						=			img.shape[:2]
               # later: provide list and randomly choose index for resize
               __A		:					List[Any]						=			np.random.randint(self.short_edge_length[0]		,      self.short_edge_length[1] + 1)
               if size == 0:
                    return img
               __A		:					Tuple						=			size * 1.0 / min(_UpperCAmelCase		,      _UpperCAmelCase)
               if h < w:
                    __A					,__A		:					Optional[Any]						=			size, scale * w
               else:
                    __A					,__A		:					Optional[Any]						=			scale * h, size
               if max(_UpperCAmelCase		,      _UpperCAmelCase) > self.max_size:
                    __A		:					Tuple						=			self.max_size * 1.0 / max(_UpperCAmelCase		,      _UpperCAmelCase)
                    __A		:					Tuple						=			newh * scale
                    __A		:					Dict						=			neww * scale
               __A		:					Dict						=			int(neww + 0.5)
               __A		:					Optional[int]						=			int(newh + 0.5)

               if img.dtype == np.uinta:
                    __A		:					int						=			Image.fromarray(_UpperCAmelCase)
                    __A		:					Optional[int]						=			pil_image.resize((neww, newh)		,      PILImageResampling.BILINEAR)
                    __A		:					Dict						=			np.asarray(_UpperCAmelCase)
               else:
                    __A		:					Optional[Any]						=			img.permute(2		,      0		,      1).unsqueeze(0)  # 3, 0, 1)  # hw(c) -> nchw
                    __A		:					Dict						=			nn.functional.interpolate(
                        _UpperCAmelCase		,      (newh, neww)		,      mode=self.interp_method		,      align_corners=_UpperCAmelCase).squeeze(0)
               img_augs.append(_UpperCAmelCase)

          return img_augs




class 					SCREAMING_SNAKE_CASE       :


     def __init__(		self		,      _UpperCAmelCase):

          '''simple docstring'''






          __A		:					List[Any]						=			ResizeShortestEdge([cfg.INPUT.MIN_SIZE_TEST, cfg.INPUT.MIN_SIZE_TEST]		,      cfg.INPUT.MAX_SIZE_TEST)
          __A		:					List[Any]						=			cfg.INPUT.FORMAT
          __A		:					Dict						=			cfg.SIZE_DIVISIBILITY
          __A		:					str						=			cfg.PAD_VALUE
          __A		:					Union[str, Any]						=			cfg.INPUT.MAX_SIZE_TEST
          __A		:					int						=			cfg.MODEL.DEVICE
          __A		:					Tuple						=			torch.tensor(cfg.MODEL.PIXEL_STD).to(self.device).view(len(cfg.MODEL.PIXEL_STD)		,      1		,      1)
          __A		:					Union[str, Any]						=			torch.tensor(cfg.MODEL.PIXEL_MEAN).to(self.device).view(len(cfg.MODEL.PIXEL_STD)		,      1		,      1)
          __A		:					int						=			lambda _UpperCAmelCase: (x - self.pixel_mean) / self.pixel_std


     def 				SCREAMING_SNAKE_CASE    (		self		,      _UpperCAmelCase):

          '''simple docstring'''






          __A		:					List[Any]						=			tuple(max(_UpperCAmelCase) for s in zip(*[img.shape for img in images]))
          __A		:					Dict						=			[im.shape[-2:] for im in images]
          __A		:					Optional[int]						=			[
              nn.functional.pad(
                  _UpperCAmelCase		,      [0, max_size[-1] - size[1], 0, max_size[-2] - size[0]]		,      value=self.pad_value		,      )
              for size, im in zip(_UpperCAmelCase		,      _UpperCAmelCase)
          ]

          return torch.stack(_UpperCAmelCase), torch.tensor(_UpperCAmelCase)


     def __call__(		self		,      _UpperCAmelCase		,      _UpperCAmelCase=False):

          '''simple docstring'''






          with torch.no_grad():
               if not isinstance(_UpperCAmelCase		,      _UpperCAmelCase):
                    __A		:					int						=			[images]
               if single_image:
                    assert len(_UpperCAmelCase) == 1
               for i in range(len(_UpperCAmelCase)):
                    if isinstance(images[i]		,      torch.Tensor):
                         images.insert(_UpperCAmelCase		,      images.pop(_UpperCAmelCase).to(self.device).float())
                    elif not isinstance(images[i]		,      torch.Tensor):
                         images.insert(
                             _UpperCAmelCase		,      torch.as_tensor(img_tensorize(images.pop(_UpperCAmelCase)		,      input_format=self.input_format))
                             .to(self.device)
                             .float()		,      )
            # resize smallest edge
               __A		:					str						=			torch.tensor([im.shape[:2] for im in images])
               __A		:					List[str]						=			self.aug(_UpperCAmelCase)
               # transpose images and convert to torch tensors
               # images = [torch.as_tensor(i.astype("float32")).permute(2, 0, 1).to(self.device) for i in images]
               # now normalize before pad to avoid useless arithmetic
               __A		:					Any						=			[self.normalizer(_UpperCAmelCase) for x in images]
               # now pad them to do the following operations
               __A					,__A		:					Any						=			self.pad(_UpperCAmelCase)
               # Normalize

               if self.size_divisibility > 0:
                    raise NotImplementedError()
               # pad
               __A		:					str						=			torch.true_divide(_UpperCAmelCase		,      _UpperCAmelCase)
               if single_image:
                    return images[0], sizes[0], scales_yx[0]
               else:
                    return images, sizes, scales_yx






def 			_lowerCAmelCase     (    __snake_case    :					Dict					,				__snake_case    :					str     )	->	Dict:
     boxes[:, 0::2] *= scale_yx[:, 1]
     boxes[:, 1::2] *= scale_yx[:, 0]
     return boxes







def 			_lowerCAmelCase     (    __snake_case    :					List[str]					,				__snake_case    :					Tuple[int, int]     )	->	int:
     assert torch.isfinite(__snake_case     ).all(), "Box tensor contains infinite or NaN!"
     __A					,__A		:					int						=			box_size
     tensor[:, 0].clamp_(min=0					,				max=__snake_case     )
     tensor[:, 1].clamp_(min=0					,				max=__snake_case     )
     tensor[:, 2].clamp_(min=0					,				max=__snake_case     )
     tensor[:, 3].clamp_(min=0					,				max=__snake_case     )