






"""simple docstring"""


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


lowercase_				     =     (
    'https://raw.githubusercontent.com/huggingface/diffusers/{revision}/examples/community/{pipeline}.py'
)


lowercase_				     =     logging.get_logger(__name__)  # pylint: disable=invalid-name



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  __A									= '''https://pypi.org/pypi/diffusers/json'''
  __A									= json.loads(request.urlopen(__UpperCamelCase ).read() )['''releases'''].keys()
  return sorted(__UpperCamelCase		,       key=lambda __UpperCamelCase : version.Version(__UpperCamelCase ) )



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  if HF_MODULES_CACHE in sys.path:
    return

  sys.path.append(__UpperCamelCase )
  os.makedirs(__UpperCamelCase		,       exist_ok=__UpperCamelCase )
  __A									= Path(__UpperCamelCase ) / '''__init__.py'''
  if not init_path.exists():
    init_path.touch()



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  init_hf_modules()
  __A									= 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 )
  __A									= dynamic_module_path / '''__init__.py'''
  if not init_path.exists():
    init_path.touch()



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  with open(__UpperCamelCase		,       '''r'''		,       encoding='''utf-8''' ) as f:
    __A									= f.read()

  # Imports of the form `import .xxx`
  __A									= 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 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  __A									= False
  __A									= [module_file]
  __A									= []

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

    __A									= Path(__UpperCamelCase ).parent
    __A									= [str(module_path / m ) for m in new_imports]
    __A									= [f for f in new_import_files if f not in all_relative_imports]
    __A									= [f'{f}.py' for f in new_import_files]

    __A									= len(__UpperCamelCase ) == 0
    all_relative_imports.extend(__UpperCamelCase )

  return all_relative_imports



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  with open(__UpperCamelCase		,       '''r'''		,       encoding='''utf-8''' ) as f:
    __A									= f.read()

  # Imports of the form `import xxx`
  __A									= 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
  __A									= [imp.split('''.''' )[0] for imp in imports if not imp.startswith('''.''' )]

  # Unique-ify and test we got them all
  __A									= list(set(__UpperCamelCase ) )
  __A									= []
  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 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase ):




  """simple docstring"""







  __A									= module_path.replace(os.path.sep		,       '''.''' )
  __A									= importlib.import_module(__UpperCamelCase )

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



def 					lowerCAmelCase				(    __UpperCamelCase ):




  """simple docstring"""







  from ..pipelines import DiffusionPipeline

  __A									= dict(inspect.getmembers(__UpperCamelCase		,       inspect.isclass ) )

  __A									= 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}.' )
      __A									= cls

  return pipeline_class



def 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase = None		,       __UpperCamelCase = False		,       __UpperCamelCase = False		,       __UpperCamelCase = None		,       __UpperCamelCase = None		,       __UpperCamelCase = None		,       __UpperCamelCase = False		,       ):




  """simple docstring"""







  __A									= str(__UpperCamelCase )

  __A									= os.path.join(__UpperCamelCase		,       __UpperCamelCase )

  if os.path.isfile(__UpperCamelCase ):
    __A									= module_file_or_url
    __A									= '''local'''
  elif pretrained_model_name_or_path.count('''/''' ) == 0:
    __A									= get_diffusers_versions()
    # cut ".dev0"
    __A									= '''v''' + '''.'''.join(__version__.split('''.''' )[:3] )

    # retrieve github version that matches
    if revision is None:
      __A									= latest_version if latest_version[1:] in available_versions else '''main'''
      logger.info(f'Defaulting to latest_version: {revision}.' )
    elif revision in available_versions:
      __A									= f'v{revision}'
    elif revision == "main":
      __A									= 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
    __A									= COMMUNITY_PIPELINES_URL.format(revision=__UpperCamelCase		,       pipeline=__UpperCamelCase )
    try:
      __A									= cached_download(
          __UpperCamelCase		,       cache_dir=__UpperCamelCase		,       force_download=__UpperCamelCase		,       proxies=__UpperCamelCase		,       resume_download=__UpperCamelCase		,       local_files_only=__UpperCamelCase		,       use_auth_token=__UpperCamelCase		,       )
      __A									= '''git'''
      __A									= 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
      __A									= hf_hub_download(
          __UpperCamelCase		,       __UpperCamelCase		,       cache_dir=__UpperCamelCase		,       force_download=__UpperCamelCase		,       proxies=__UpperCamelCase		,       resume_download=__UpperCamelCase		,       local_files_only=__UpperCamelCase		,       use_auth_token=__UpperCamelCase		,       )
      __A									= 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
  __A									= check_imports(__UpperCamelCase )

  # Now we move the module inside our cached dynamic modules.
  __A									= DIFFUSERS_DYNAMIC_MODULE_NAME + os.path.sep + submodule
  create_dynamic_module(__UpperCamelCase )
  __A									= 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:
      __A									= 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 ):
      __A									= use_auth_token
    elif use_auth_token is True:
      __A									= HfFolder.get_token()
    else:
      __A									= None

    __A									= 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.
    __A									= submodule_path / commit_hash
    __A									= 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 					lowerCAmelCase				(    __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase = None		,       __UpperCamelCase = None		,       __UpperCamelCase = False		,       __UpperCamelCase = False		,       __UpperCamelCase = None		,       __UpperCamelCase = None		,       __UpperCamelCase = None		,       __UpperCamelCase = False		,       **__UpperCamelCase		,       ):




  """simple docstring"""







  __A									= 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"""


import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread
from numpy import array, uinta
from PIL import Image

from digital_image_processing import change_contrast as cc
from digital_image_processing import convert_to_negative as cn
from digital_image_processing import sepia as sp
from digital_image_processing.dithering import burkes as bs
from digital_image_processing.edge_detection import canny
from digital_image_processing.filters import convolve as conv
from digital_image_processing.filters import gaussian_filter as gg
from digital_image_processing.filters import local_binary_pattern as lbp
from digital_image_processing.filters import median_filter as med
from digital_image_processing.filters import sobel_filter as sob
from digital_image_processing.resize import resize as rs

lowercase_				     =     imread(R'digital_image_processing/image_data/lena_small.jpg')
lowercase_				     =     cvtColor(img, COLOR_BGR2GRAY)



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  __A									= cn.convert_to_negative(__UpperCamelCase )
  # assert negative_img array for at least one True
  assert negative_img.any()



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  with Image.open('''digital_image_processing/image_data/lena_small.jpg''' ) as img:
    # Work around assertion for response
    assert str(cc.change_contrast(__UpperCamelCase		,       1_1_0 ) ).startswith(
        '''<PIL.Image.Image image mode=RGB size=100x100 at''' )



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  __A									= canny.gen_gaussian_kernel(9		,       sigma=1.4 )
  # Assert ambiguous array
  assert resp.all()



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  __A									= imread('''digital_image_processing/image_data/lena_small.jpg'''		,       0 )
  # assert ambiguous array for all == True
  assert canny_img.all()
  __A									= canny.canny(__UpperCamelCase )
  # assert canny array for at least one True
  assert canny_array.any()



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  assert gg.gaussian_filter(__UpperCamelCase		,       5		,       sigma=0.9 ).all()



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  __A									= array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]] )
  __A									= conv.img_convolve(__UpperCamelCase		,       __UpperCamelCase ).astype(__UpperCamelCase )
  assert res.any()



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  assert med.median_filter(__UpperCamelCase		,       3 ).any()



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  __A			,    __A									= sob.sobel_filter(__UpperCamelCase )
  assert grad.any() and theta.any()



def 					lowerCAmelCase				(    ):




  """simple docstring"""







  __A									= sp.make_sepia(__UpperCamelCase		,       2_0 )
  assert sepia.all()



def 					lowerCAmelCase				(    __UpperCamelCase = "digital_image_processing/image_data/lena_small.jpg" ):




  """simple docstring"""







  __A									= bs.Burkes(imread(__UpperCamelCase		,       1 )		,       1_2_0 )
  burkes.process()
  assert burkes.output_img.any()



def 					lowerCAmelCase				(    __UpperCamelCase = "digital_image_processing/image_data/lena_small.jpg"		,       ):




  """simple docstring"""







  __A									= rs.NearestNeighbour(imread(__UpperCamelCase		,       1 )		,       4_0_0		,       2_0_0 )
  nn.process()
  assert nn.output.any()





def 					lowerCAmelCase				(    ):




  """simple docstring"""







  __A									= '''digital_image_processing/image_data/lena.jpg'''

  # Reading the image and converting it to grayscale.
  __A									= imread(__UpperCamelCase		,       0 )

  # Test for get_neighbors_pixel function() return not None
  __A									= 0
  __A									= 0
  __A									= image[x_coordinate][y_coordinate]

  __A									= lbp.get_neighbors_pixel(
      __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase )

  assert neighbors_pixels is not None

  # Test for local_binary_pattern function()
  # Create a numpy array as the same height and width of read image
  __A									= np.zeros((image.shape[0], image.shape[1]) )

  # Iterating through the image and calculating the local binary pattern value
  # for each pixel.
  for i in range(0		,       image.shape[0] ):
    for j in range(0		,       image.shape[1] ):
      __A									= lbp.local_binary_value(__UpperCamelCase		,       __UpperCamelCase		,       __UpperCamelCase )

  assert lbp_image.any()




