


import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


__A :  Optional[Any]    							=				get_logger(__name__)






class        __snake_case	:







    """simple docstring"""



    lowercase       			= 'dummy_data'
    lowercase       			= 'datasets'
    lowercase       			= False

    def __init__(       self   :  List[str]   ,						lowerCamelCase   :  str   ,						lowerCamelCase   :  str   ,						lowerCamelCase   :  Union[Version, str]   ,						lowerCamelCase   :  Optional[str] = None   ,						lowerCamelCase   :  bool = False   ,						lowerCamelCase   :  bool = True   ,						lowerCamelCase   :  Optional[List[Callable]] = None   ,						)       ->  Any:
      lowerCAmelCase_      :				Optional[int]      =       0
      lowerCAmelCase_      :				Tuple      =       dataset_name
      lowerCAmelCase_      :				List[Any]      =       cache_dir
      lowerCAmelCase_      :				Tuple      =       use_local_dummy_data
      lowerCAmelCase_      :				List[str]      =       config
      # download_callbacks take a single url as input
      lowerCAmelCase_      :				List[Callable]      =       download_callbacks or []
      # if False, it doesn't load existing files and it returns the paths of the dummy files relative
      # to the dummy_data zip file root
      lowerCAmelCase_      :				Any      =       load_existing_dummy_data

      # TODO(PVP, QL) might need to make this more general
      lowerCAmelCase_      :				Any      =       str(lowerCamelCase		)
      # to be downloaded
      lowerCAmelCase_      :				Optional[Any]      =       None
      lowerCAmelCase_      :				Union[str, Any]      =       None

    @property
    def __lowercase       (       self   :  List[str]		)       ->  Dict:
      if self._dummy_file is None:
        lowerCAmelCase_      :				Union[str, Any]      =       self.download_dummy_data()
      return self._dummy_file

    @property
    def __lowercase       (       self   :  Optional[Any]		)       ->  Tuple:
      if self.config is not None:
        # structure is dummy / config_name / version_name
        return os.path.join("""dummy"""   ,						self.config.name   ,						self.version_name		)
      # structure is dummy / version_name
      return os.path.join("""dummy"""   ,						self.version_name		)

    @property
    def __lowercase       (       self   :  Optional[int]		)       ->  Optional[Any]:
      return os.path.join(self.dummy_data_folder   ,						"""dummy_data.zip"""		)

    def __lowercase       (       self   :  str		)       ->  str:
      lowerCAmelCase_      :				Optional[Any]      =       (
          self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
      )

      lowerCAmelCase_      :				Tuple      =       cached_path(
          lowerCamelCase   ,						cache_dir=self.cache_dir   ,						extract_compressed_file=lowerCamelCase   ,						force_extract=lowerCamelCase		)

      return os.path.join(lowerCamelCase   ,						self.dummy_file_name		)

    @property
    def __lowercase       (       self   :  List[Any]		)       ->  Tuple:
      return os.path.join(self.datasets_scripts_dir   ,						self.dataset_name   ,						self.dummy_zip_file		)

    @property
    def __lowercase       (       self   :  Dict		)       ->  List[str]:
      if self._bucket_url is None:
        lowerCAmelCase_      :				Any      =       hf_github_url(self.dataset_name   ,						self.dummy_zip_file.replace(os.sep   ,						"""/"""		)		)
      return self._bucket_url

    @property
    def __lowercase       (       self   :  Any		)       ->  Union[str, Any]:
      # return full path if its a dir
      if os.path.isdir(self.dummy_file		):
        return self.dummy_file
      # else cut off path to file -> example `xsum`.
      return "/".join(self.dummy_file.replace(os.sep   ,						"""/"""		).split("""/"""		)[:-1]		)

    def __lowercase       (       self   :  Tuple   ,						lowerCamelCase   :  str   ,						*lowerCamelCase   :  str		)       ->  List[str]:
      if self.load_existing_dummy_data:
        # dummy data is downloaded and tested
        lowerCAmelCase_      :				Any      =       self.dummy_file
      else:
        # dummy data cannot be downloaded and only the path to dummy file is returned
        lowerCAmelCase_      :				int      =       self.dummy_file_name

      # special case when data_url is a dict
      if isinstance(lowerCamelCase   ,						lowerCamelCase		):
        return self.create_dummy_data_dict(lowerCamelCase   ,						lowerCamelCase		)
      elif isinstance(lowerCamelCase   ,						(list, tuple)		):
        return self.create_dummy_data_list(lowerCamelCase   ,						lowerCamelCase		)
      else:
        return self.create_dummy_data_single(lowerCamelCase   ,						lowerCamelCase		)

    def __lowercase       (       self   :  Tuple   ,						lowerCamelCase   :  str   ,						*lowerCamelCase   :  int		)       ->  Dict:
      return self.download_and_extract(lowerCamelCase		)

    def __lowercase       (       self   :  int   ,						lowerCamelCase   :  Optional[int]   ,						lowerCamelCase   :  Union[str, Any]		)       ->  Dict:
      return self.download_and_extract(lowerCamelCase		)

    def __lowercase       (       self   :  str   ,						lowerCamelCase   :  List[str]   ,						*lowerCamelCase   :  Optional[Any]   ,						**lowerCamelCase   :  List[Any]		)       ->  Optional[Any]:
      return path

    def __lowercase       (       self   :  Any		)       ->  List[Any]:
      return {}

    def __lowercase       (       self   :  int   ,						lowerCamelCase   :  List[Any]   ,						lowerCamelCase   :  List[str]		)       ->  Optional[Any]:
      lowerCAmelCase_      :				Any      =       {}
      for key, single_urls in data_url.items():
        for download_callback in self.download_callbacks:
          if isinstance(lowerCamelCase   ,						lowerCamelCase		):
            for single_url in single_urls:
              download_callback(lowerCamelCase		)
          else:
            lowerCAmelCase_      :				Any      =       single_urls
            download_callback(lowerCamelCase		)
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
        if isinstance(lowerCamelCase   ,						lowerCamelCase		):
          lowerCAmelCase_      :				List[Any]      =       [os.path.join(lowerCamelCase   ,						urllib.parse.quote_plus(Path(lowerCamelCase		).name		)		) for x in single_urls]
        else:
          lowerCAmelCase_      :				Optional[int]      =       single_urls
          lowerCAmelCase_      :				int      =       os.path.join(lowerCamelCase   ,						urllib.parse.quote_plus(Path(lowerCamelCase		).name		)		)
        lowerCAmelCase_      :				Tuple      =       value

      # make sure that values are unique
      if all(isinstance(lowerCamelCase   ,						lowerCamelCase		) for i in dummy_data_dict.values()		) and len(set(dummy_data_dict.values()		)		) < len(
          dummy_data_dict.values()		):
        # append key to value to make its name unique
        lowerCAmelCase_      :				Dict      =       {key: value + key for key, value in dummy_data_dict.items()}

      return dummy_data_dict

    def __lowercase       (       self   :  List[str]   ,						lowerCamelCase   :  Union[str, Any]   ,						lowerCamelCase   :  Union[str, Any]		)       ->  Any:
      lowerCAmelCase_      :				Union[str, Any]      =       []
      # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
      lowerCAmelCase_      :				List[str]      =       all(bool(re.findall("""[0-9]{3,}-of-[0-9]{3,}"""   ,						lowerCamelCase		)		) for url in data_url		)
      lowerCAmelCase_      :				Optional[Any]      =       all(
          url.startswith("""https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed"""		) for url in data_url		)
      if data_url and (is_tf_records or is_pubmed_records):
        lowerCAmelCase_      :				List[str]      =       [data_url[0]] * len(lowerCamelCase		)
      for single_url in data_url:
        for download_callback in self.download_callbacks:
          download_callback(lowerCamelCase		)
        # we force the name of each key to be the last file / folder name of the url path
        # if the url has arguments, we need to encode them with urllib.parse.quote_plus
        lowerCAmelCase_      :				Optional[int]      =       os.path.join(lowerCamelCase   ,						urllib.parse.quote_plus(single_url.split("""/"""		)[-1]		)		)
        dummy_data_list.append(lowerCamelCase		)
      return dummy_data_list

    def __lowercase       (       self   :  List[Any]   ,						lowerCamelCase   :  List[str]   ,						lowerCamelCase   :  Optional[Any]		)       ->  Optional[Any]:
      for download_callback in self.download_callbacks:
        download_callback(lowerCamelCase		)
      # we force the name of each key to be the last file / folder name of the url path
      # if the url has arguments, we need to encode them with urllib.parse.quote_plus
      lowerCAmelCase_      :				Union[str, Any]      =       os.path.join(lowerCamelCase   ,						urllib.parse.quote_plus(data_url.split("""/"""		)[-1]		)		)
      if os.path.exists(lowerCamelCase		) or not self.load_existing_dummy_data:
        return value
      else:
        # Backward compatibility, maybe deprecate at one point.
        # For many datasets with single url calls to dl_manager.download_and_extract,
        # the dummy_data.zip file is actually the zipped downloaded file
        # while now we expected the dummy_data.zip file to be a directory containing
        # the downloaded file.
        return path_to_dummy_data

    def __lowercase       (       self   :  List[Any]		)       ->  Dict:
      pass

    def __lowercase       (       self   :  Optional[int]		)       ->  int:
      pass

    def __lowercase       (       self   :  str   ,						lowerCamelCase   :  str		)       ->  List[Any]:
      def _iter_archive_members(lowerCamelCase   :  int		):
        # this preserves the order of the members inside the ZIP archive
        lowerCAmelCase_      :				List[str]      =       Path(self.dummy_file		).parent
        lowerCAmelCase_      :				str      =       path.relative_to(lowerCamelCase		)
        with ZipFile(self.local_path_to_dummy_data		) as zip_file:
          lowerCAmelCase_      :				Any      =       zip_file.namelist()
        for member in members:
          if member.startswith(relative_path.as_posix()		):
            yield dummy_parent_path.joinpath(lowerCamelCase		)

      lowerCAmelCase_      :				str      =       Path(lowerCamelCase		)
      lowerCAmelCase_      :				Union[str, Any]      =       _iter_archive_members(lowerCamelCase		) if self.use_local_dummy_data else path.rglob("""*"""		)
      for file_path in file_paths:
        if file_path.is_file() and not file_path.name.startswith((""".""", """__""")		):
          yield file_path.relative_to(lowerCamelCase		).as_posix(), file_path.open("""rb"""		)





    def __lowercase       (       self   :  str   ,						lowerCamelCase   :  Optional[int]		)       ->  Tuple:
      if not isinstance(lowerCamelCase   ,						lowerCamelCase		):
        lowerCAmelCase_      :				Optional[Any]      =       [paths]
      for path in paths:
        if os.path.isfile(lowerCamelCase		):
          if os.path.basename(lowerCamelCase		).startswith((""".""", """__""")		):
            return
          yield path
        else:
          for dirpath, dirnames, filenames in os.walk(lowerCamelCase		):
            if os.path.basename(lowerCamelCase		).startswith((""".""", """__""")		):
              continue
            dirnames.sort()
            for filename in sorted(lowerCamelCase		):
              if filename.startswith((""".""", """__""")		):
                continue
              yield os.path.join(lowerCamelCase   ,						lowerCamelCase		)







'''simple docstring'''






from pathlib import Path

import cva
import numpy as np
from matplotlib import pyplot as plt







def     UpperCamelCase_      (   A__ :       np.ndarray							,   A__ :       np.ndarray							,   A__ :       np.ndarray							,   A__ :       int							,   A__ :       int ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[Any]      =       cva.getAffineTransform(A__							,   A__ )
  return cva.warpAffine(A__							,   A__							,   (rows, cols) )


if __name__ == "__main__":
  # read original image
  __A :  Dict    							=				cva.imread(
      str(Path(__file__).resolve().parent.parent / "image_data" / "lena.jpg")
  )
  # turn image in gray scale value
  __A :  List[Any]    							=				cva.cvtColor(image, cva.COLOR_BGR2GRAY)
  # get image shape
  __A							,			__A :  Dict    							=				gray_img.shape

  # set different points to rotate image
  __A :  List[str]    							=				np.array([[50, 50], [200, 50], [50, 200]], np.floataa)
  __A :  Tuple    							=				np.array([[10, 100], [200, 50], [100, 250]], np.floataa)
  __A :  List[Any]    							=				np.array([[50, 50], [150, 50], [120, 200]], np.floataa)
  __A :  Optional[Any]    							=				np.array([[10, 100], [80, 50], [180, 250]], np.floataa)

  # add all rotated images in a list
  __A :  Optional[Any]    							=				[
      gray_img,
      get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
      get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
      get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
  ]

  # plot different image rotations
  __A :  Dict    							=				plt.figure(1)
  __A :  Optional[Any]    							=				["Original", "Rotation 1", "Rotation 2", "Rotation 3"]
  for i, image in enumerate(images):
    plt.subplot(2, 2, i + 1), plt.imshow(image, "gray")
    plt.title(titles[i])
    plt.axis("off")
    plt.subplots_adjust(left=0.0, bottom=0.0_5, right=1.0, top=0.9_5)
  plt.show()



