


import importlib
import inspect
import json
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request

from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from packaging import version

from .. import __version__
from . import DIFFUSERS_DYNAMIC_MODULE_NAME, HF_MODULES_CACHE, logging


__A :  List[str]    							=				(
    "https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py"
)


__A :  List[Any]    							=				logging.get_logger(__name__)  # pylint: disable=invalid-name







def     UpperCamelCase_      (   ):
  '''simple docstring'''





  lowerCAmelCase_      :				int      =       """https://pypi.org/pypi/diffusers/json"""
  lowerCAmelCase_      :				List[str]      =       json.loads(request.urlopen(_UpperCamelCase ).read() )["""releases"""].keys()
  return sorted(_UpperCamelCase							,   key=lambda A__ : version.Version(_UpperCamelCase ) )







def     UpperCamelCase_      (   ):
  '''simple docstring'''





  if HF_MODULES_CACHE in sys.path:
    return

  sys.path.append(_UpperCamelCase )
  os.makedirs(_UpperCamelCase							,   exist_ok=_UpperCamelCase )
  lowerCAmelCase_      :				Union[str, Any]      =       Path(_UpperCamelCase ) / """__init__.py"""
  if not init_path.exists():
    init_path.touch()







def     UpperCamelCase_      (   A__ :       Union[str, os.PathLike] ):
  '''simple docstring'''





  init_hf_modules()
  lowerCAmelCase_      :				Optional[int]      =       Path(_UpperCamelCase ) / name
  # If the parent module does not exist yet, recursively create it.
  if not dynamic_module_path.parent.exists():
    create_dynamic_module(dynamic_module_path.parent )
  os.makedirs(_UpperCamelCase							,   exist_ok=_UpperCamelCase )
  lowerCAmelCase_      :				Dict      =       dynamic_module_path / """__init__.py"""
  if not init_path.exists():
    init_path.touch()







def     UpperCamelCase_      (   A__ :       Dict ):
  '''simple docstring'''





  with open(_UpperCamelCase							,   """r"""							,   encoding="""utf-8""" ) as f:
    lowerCAmelCase_      :				Optional[int]      =       f.read()

  # Imports of the form `import .xxx`
  lowerCAmelCase_      :				List[str]      =       re.findall("""^\s*import\s+\.(\S+)\s*$"""							,   _UpperCamelCase							,   flags=re.MULTILINE )
  # Imports of the form `from .xxx import yyy`
  relative_imports += re.findall("""^\s*from\s+\.(\S+)\s+import"""							,   _UpperCamelCase							,   flags=re.MULTILINE )
  # Unique-ify
  return list(set(_UpperCamelCase ) )







def     UpperCamelCase_      (   A__ :       Any ):
  '''simple docstring'''





  lowerCAmelCase_      :				Tuple      =       False
  lowerCAmelCase_      :				str      =       [module_file]
  lowerCAmelCase_      :				str      =       []

  # Let's recurse through all relative imports
  while not no_change:
    lowerCAmelCase_      :				str      =       []
    for f in files_to_check:
      new_imports.extend(get_relative_imports(_UpperCamelCase ) )

    lowerCAmelCase_      :				Optional[int]      =       Path(_UpperCamelCase ).parent
    lowerCAmelCase_      :				Any      =       [str(module_path / m ) for m in new_imports]
    lowerCAmelCase_      :				Union[str, Any]      =       [f for f in new_import_files if f not in all_relative_imports]
    lowerCAmelCase_      :				Any      =       [f'{f}.py' for f in new_import_files]

    lowerCAmelCase_      :				Any      =       len(_UpperCamelCase ) == 0
    all_relative_imports.extend(_UpperCamelCase )

  return all_relative_imports







def     UpperCamelCase_      (   A__ :       Union[str, Any] ):
  '''simple docstring'''





  with open(_UpperCamelCase							,   """r"""							,   encoding="""utf-8""" ) as f:
    lowerCAmelCase_      :				int      =       f.read()

  # Imports of the form `import xxx`
  lowerCAmelCase_      :				int      =       re.findall("""^\s*import\s+(\S+)\s*$"""							,   _UpperCamelCase							,   flags=re.MULTILINE )
  # Imports of the form `from xxx import yyy`
  imports += re.findall("""^\s*from\s+(\S+)\s+import"""							,   _UpperCamelCase							,   flags=re.MULTILINE )
  # Only keep the top-level module
  lowerCAmelCase_      :				Any      =       [imp.split(""".""" )[0] for imp in imports if not imp.startswith(""".""" )]

  # Unique-ify and test we got them all
  lowerCAmelCase_      :				Tuple      =       list(set(_UpperCamelCase ) )
  lowerCAmelCase_      :				Dict      =       []
  for imp in imports:
    try:
      importlib.import_module(_UpperCamelCase )
    except ImportError:
      missing_packages.append(_UpperCamelCase )

  if len(_UpperCamelCase ) > 0:
    raise ImportError(
        """This modeling file requires the following packages that were not found in your environment: """
        f'{", ".join(_UpperCamelCase )}. Run `pip install {" ".join(_UpperCamelCase )}`' )

  return get_relative_imports(_UpperCamelCase )







def     UpperCamelCase_      (   A__ :       str							,   A__ :       str ):
  '''simple docstring'''





  lowerCAmelCase_      :				List[Any]      =       module_path.replace(os.path.sep							,   """.""" )
  lowerCAmelCase_      :				Union[str, Any]      =       importlib.import_module(_UpperCamelCase )

  if class_name is None:
    return find_pipeline_class(_UpperCamelCase )
  return getattr(_UpperCamelCase							,   _UpperCamelCase )







def     UpperCamelCase_      (   A__ :       Tuple ):
  '''simple docstring'''





  from ..pipelines import DiffusionPipeline

  lowerCAmelCase_      :				str      =       dict(inspect.getmembers(_UpperCamelCase							,   inspect.isclass ) )

  lowerCAmelCase_      :				str      =       None
  for cls_name, cls in cls_members.items():
    if (
        cls_name != DiffusionPipeline.__name__
        and issubclass(cls							,   _UpperCamelCase )
        and cls.__module__.split(""".""" )[0] != "diffusers"
    ):
      if pipeline_class is not None:
        raise ValueError(
            f'Multiple classes that inherit from {DiffusionPipeline.__name__} have been found:'
            f' {pipeline_class.__name__}, and {cls_name}. Please make sure to define only one in'
            f' {loaded_module}.' )
      lowerCAmelCase_      :				List[Any]      =       cls

  return pipeline_class







def     UpperCamelCase_      (   A__ :       Union[str, os.PathLike]							,   A__ :       str							,   A__ :       Optional[Union[str, os.PathLike]] = None							,   A__ :       bool = False							,   A__ :       bool = False							,   A__ :       Optional[Dict[str, str]] = None							,   A__ :       Optional[Union[bool, str]] = None							,   A__ :       Optional[str] = None							,   A__ :       bool = False							,   ):
  '''simple docstring'''





  lowerCAmelCase_      :				Optional[Any]      =       str(_UpperCamelCase )

  lowerCAmelCase_      :				Union[str, Any]      =       os.path.join(_UpperCamelCase							,   _UpperCamelCase )

  if os.path.isfile(_UpperCamelCase ):
    lowerCAmelCase_      :				List[str]      =       module_file_or_url
    lowerCAmelCase_      :				List[Any]      =       """local"""
  elif pretrained_model_name_or_path.count("""/""" ) == 0:
    lowerCAmelCase_      :				Any      =       get_diffusers_versions()
    # cut ".dev0"
    lowerCAmelCase_      :				Optional[int]      =       """v""" + """.""".join(__version__.split(""".""" )[:3] )

    # retrieve github version that matches
    if revision is None:
      lowerCAmelCase_      :				Optional[int]      =       latest_version if latest_version[1:] in available_versions else """main"""
      logger.info(f'Defaulting to latest_version: {revision}.' )
    elif revision in available_versions:
      lowerCAmelCase_      :				str      =       f'v{revision}'
    elif revision == "main":
      lowerCAmelCase_      :				Dict      =       revision
    else:
      raise ValueError(
          f'`custom_revision`: {revision} does not exist. Please make sure to choose one of'
          f' {", ".join(available_versions + ["main"] )}.' )

    # community pipeline on GitHub
    lowerCAmelCase_      :				Union[str, Any]      =       COMMUNITY_PIPELINES_URL.format(revision=_UpperCamelCase							,   pipeline=_UpperCamelCase )
    try:
      lowerCAmelCase_      :				str      =       cached_download(
          _UpperCamelCase							,   cache_dir=_UpperCamelCase							,   force_download=_UpperCamelCase							,   proxies=_UpperCamelCase							,   resume_download=_UpperCamelCase							,   local_files_only=_UpperCamelCase							,   use_auth_token=_UpperCamelCase							,   )
      lowerCAmelCase_      :				Optional[Any]      =       """git"""
      lowerCAmelCase_      :				Optional[int]      =       pretrained_model_name_or_path + """.py"""
    except EnvironmentError:
      logger.error(f'Could not locate the {module_file} inside {pretrained_model_name_or_path}.' )
      raise
  else:
    try:
      # Load from URL or cache if already cached
      lowerCAmelCase_      :				List[str]      =       hf_hub_download(
          _UpperCamelCase							,   _UpperCamelCase							,   cache_dir=_UpperCamelCase							,   force_download=_UpperCamelCase							,   proxies=_UpperCamelCase							,   resume_download=_UpperCamelCase							,   local_files_only=_UpperCamelCase							,   use_auth_token=_UpperCamelCase							,   )
      lowerCAmelCase_      :				List[str]      =       os.path.join("""local"""							,   """--""".join(pretrained_model_name_or_path.split("""/""" ) ) )
    except EnvironmentError:
      logger.error(f'Could not locate the {module_file} inside {pretrained_model_name_or_path}.' )
      raise

    # Check we have all the requirements in our environment
  lowerCAmelCase_      :				Any      =       check_imports(_UpperCamelCase )

  # Now we move the module inside our cached dynamic modules.
  lowerCAmelCase_      :				str      =       DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
  create_dynamic_module(_UpperCamelCase )
  lowerCAmelCase_      :				Optional[Any]      =       Path(_UpperCamelCase ) / full_submodule
  if submodule == "local" or submodule == "git":
    # We always copy local files (we could hash the file to see if there was a change, and give them the name of
    # that hash, to only copy when there is a modification but it seems overkill for now).
    # The only reason we do the copy is to avoid putting too many folders in sys.path.
    shutil.copy(_UpperCamelCase							,   submodule_path / module_file )
    for module_needed in modules_needed:
      lowerCAmelCase_      :				Tuple      =       f'{module_needed}.py'
      shutil.copy(os.path.join(_UpperCamelCase							,   _UpperCamelCase )							,   submodule_path / module_needed )
  else:
    # Get the commit hash
    # TODO: we will get this info in the etag soon, so retrieve it from there and not here.
    if isinstance(_UpperCamelCase							,   _UpperCamelCase ):
      lowerCAmelCase_      :				Any      =       use_auth_token
    elif use_auth_token is True:
      lowerCAmelCase_      :				List[Any]      =       HfFolder.get_token()
    else:
      lowerCAmelCase_      :				Tuple      =       None

    lowerCAmelCase_      :				Optional[Any]      =       model_info(_UpperCamelCase							,   revision=_UpperCamelCase							,   token=_UpperCamelCase ).sha

    # The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
    # benefit of versioning.
    lowerCAmelCase_      :				Union[str, Any]      =       submodule_path / commit_hash
    lowerCAmelCase_      :				Any      =       full_submodule + os.path.sep + commit_hash
    create_dynamic_module(_UpperCamelCase )

    if not (submodule_path / module_file).exists():
      shutil.copy(_UpperCamelCase							,   submodule_path / module_file )
    # Make sure we also have every file with relative
    for module_needed in modules_needed:
      if not (submodule_path / module_needed).exists():
        get_cached_module_file(
            _UpperCamelCase							,   f'{module_needed}.py'							,   cache_dir=_UpperCamelCase							,   force_download=_UpperCamelCase							,   resume_download=_UpperCamelCase							,   proxies=_UpperCamelCase							,   use_auth_token=_UpperCamelCase							,   revision=_UpperCamelCase							,   local_files_only=_UpperCamelCase							,   )
  return os.path.join(_UpperCamelCase							,   _UpperCamelCase )







def     UpperCamelCase_      (   A__ :       Union[str, os.PathLike]							,   A__ :       str							,   A__ :       Optional[str] = None							,   A__ :       Optional[Union[str, os.PathLike]] = None							,   A__ :       bool = False							,   A__ :       bool = False							,   A__ :       Optional[Dict[str, str]] = None							,   A__ :       Optional[Union[bool, str]] = None							,   A__ :       Optional[str] = None							,   A__ :       bool = False							,   **A__ :       Optional[int]							,   ):
  '''simple docstring'''





  lowerCAmelCase_      :				Tuple      =       get_cached_module_file(
      _UpperCamelCase							,   _UpperCamelCase							,   cache_dir=_UpperCamelCase							,   force_download=_UpperCamelCase							,   resume_download=_UpperCamelCase							,   proxies=_UpperCamelCase							,   use_auth_token=_UpperCamelCase							,   revision=_UpperCamelCase							,   local_files_only=_UpperCamelCase							,   )
  return get_class_in_module(_UpperCamelCase							,   final_module.replace(""".py"""							,   """""" ) )







'''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()



