



import importlib
import inspect
from functools import wraps
from typing import TYPE_CHECKING, Optional, Union

from .download.streaming_download_manager import (
    xbasename,
    xdirname,
    xet_parse,
    xexists,
    xgetsize,
    xglob,
    xgzip_open,
    xisdir,
    xisfile,
    xjoin,
    xlistdir,
    xnumpy_load,
    xopen,
    xpandas_read_csv,
    xpandas_read_excel,
    xPath,
    xrelpath,
    xsio_loadmat,
    xsplit,
    xsplitext,
    xwalk,
    xxml_dom_minidom_parse,
)
from .utils.logging import get_logger
from .utils.patching import patch_submodule
from .utils.py_utils import get_imports


lowerCAmelCase					:				Optional[Any]   	=get_logger(__name__)


if TYPE_CHECKING:
		from .builder import DatasetBuilder







def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__ = None  ):


						'''simple docstring'''




						lowerCAmelCase	:   str					     =					importlib.import_module(SCREAMING_SNAKE_CASE__  )

						# TODO(QL): always update the module to add subsequent new authentication
						if hasattr(SCREAMING_SNAKE_CASE__			,"""_patched_for_streaming"""  ) and module._patched_for_streaming:
												return

						def wrap_auth(SCREAMING_SNAKE_CASE__  ):
												@wraps(SCREAMING_SNAKE_CASE__  )
												def wrapper(*SCREAMING_SNAKE_CASE__			,**SCREAMING_SNAKE_CASE__  ):
																		return function(*SCREAMING_SNAKE_CASE__			,use_auth_token=SCREAMING_SNAKE_CASE__			,**SCREAMING_SNAKE_CASE__  )

												lowerCAmelCase	:   Dict					     =					"""wrap_auth"""
												return wrapper

						# open files in a streaming fashion
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""open"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.listdir"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.walk"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""glob.glob"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						# allow to navigate in remote zip files
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.path.join"""			,SCREAMING_SNAKE_CASE__  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.path.dirname"""			,SCREAMING_SNAKE_CASE__  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.path.basename"""			,SCREAMING_SNAKE_CASE__  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.path.relpath"""			,SCREAMING_SNAKE_CASE__  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.path.split"""			,SCREAMING_SNAKE_CASE__  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.path.splitext"""			,SCREAMING_SNAKE_CASE__  ).start()
						# allow checks on paths
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.path.exists"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.path.isdir"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.path.isfile"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""os.path.getsize"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""pathlib.Path"""			,SCREAMING_SNAKE_CASE__  ).start()
						# file readers
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""gzip.open"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""numpy.load"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""pandas.read_csv"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )			,attrs=["""__version__"""]  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""pandas.read_excel"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )			,attrs=["""__version__"""]  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""scipy.io.loadmat"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )			,attrs=["""__version__"""]  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""xml.etree.ElementTree.parse"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						patch_submodule(SCREAMING_SNAKE_CASE__			,"""xml.dom.minidom.parse"""			,wrap_auth(SCREAMING_SNAKE_CASE__  )  ).start()
						lowerCAmelCase	:   Optional[int]					     =					True







def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__  ):


						'''simple docstring'''




						extend_module_for_streaming(builder.__module__			,use_auth_token=builder.use_auth_token  )
						# if needed, we also have to extend additional internal imports (like wmt14 -> wmt_utils)
						if not builder.__module__.startswith("""datasets."""  ):  # check that it's not a packaged builder like csv
												for imports in get_imports(inspect.getfile(builder.__class__  )  ):
																		if imports[0] == "internal":
																								lowerCAmelCase	:   Any					     =					imports[1]
																								lowerCAmelCase	:   List[Any]					     =					""".""".join(builder.__module__.split("""."""  )[:-1] + [internal_import_name]  )
																								extend_module_for_streaming(SCREAMING_SNAKE_CASE__			,use_auth_token=builder.use_auth_token  )

    # builders can inherit from other builders that might use streaming functionality
    # (for example, ImageFolder and AudioFolder inherit from FolderBuilder which implements examples generation)
    # but these parents builders are not patched automatically as they are not instantiated, so we patch them here
						from .builder import DatasetBuilder

						lowerCAmelCase	:   str					     =					[
						    cls.__module__
						    for cls in type(SCREAMING_SNAKE_CASE__  ).__mro__[1:]  # make sure it's not the same module we've already patched
						    if issubclass(cls			,SCREAMING_SNAKE_CASE__  ) and cls.__module__ != DatasetBuilder.__module__
						]  # check it's not a standard builder from datasets.builder
						for module in parent_builder_modules:
												extend_module_for_streaming(SCREAMING_SNAKE_CASE__			,use_auth_token=builder.use_auth_token  )






import cva
import numpy as np







def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__  ):


						'''simple docstring'''




						try:
												return int(image[x_coordinate][y_coordinate] >= center  )
						except (IndexError, TypeError):
												return 0







def  _UpperCAmelCase  (				SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__  ):


						'''simple docstring'''




						lowerCAmelCase	:   Any					     =					image[x_coordinate][y_coordinate]
						lowerCAmelCase	:   int					     =					[1, 2, 4, 8, 1_6, 3_2, 6_4, 1_2_8]

						# skip get_neighbors_pixel if center is null
						if center is None:
												return 0

						# Starting from the top right, assigning value to pixels clockwise
						lowerCAmelCase	:   Union[str, Any]					     =					[
						    get_neighbors_pixel(SCREAMING_SNAKE_CASE__			,x_coordinate - 1			,y_coordinate + 1			,SCREAMING_SNAKE_CASE__  ),
						    get_neighbors_pixel(SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__			,y_coordinate + 1			,SCREAMING_SNAKE_CASE__  ),
						    get_neighbors_pixel(SCREAMING_SNAKE_CASE__			,x_coordinate - 1			,SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__  ),
						    get_neighbors_pixel(SCREAMING_SNAKE_CASE__			,x_coordinate + 1			,y_coordinate + 1			,SCREAMING_SNAKE_CASE__  ),
						    get_neighbors_pixel(SCREAMING_SNAKE_CASE__			,x_coordinate + 1			,SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__  ),
						    get_neighbors_pixel(SCREAMING_SNAKE_CASE__			,x_coordinate + 1			,y_coordinate - 1			,SCREAMING_SNAKE_CASE__  ),
						    get_neighbors_pixel(SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__			,y_coordinate - 1			,SCREAMING_SNAKE_CASE__  ),
						    get_neighbors_pixel(SCREAMING_SNAKE_CASE__			,x_coordinate - 1			,y_coordinate - 1			,SCREAMING_SNAKE_CASE__  ),
						]

						# Converting the binary value to decimal.
						return sum(
						    binary_value * power for binary_value, power in zip(SCREAMING_SNAKE_CASE__			,SCREAMING_SNAKE_CASE__  )  )


if __name__ == "__main__":
		# Reading the image and converting it to grayscale.
		lowerCAmelCase					:				Dict   	=cva.imread(
		    'digital_image_processing/image_data/lena.jpg', cva.IMREAD_GRAYSCALE
		)

		# Create a numpy array as the same height and width of read image
		lowerCAmelCase					:				Dict   	=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]):
						lowerCAmelCase					:				Optional[int]   	=local_binary_value(image, i, j)

		cva.imshow('local binary pattern', lbp_image)
		cva.waitKey(0)
		cva.destroyAllWindows()

