





import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase			)  ->					np.ndarray:

				# prepare kernel
				# the kernel size have to be odd
				if (ksize % 2) == 0:
								lowerCamelCase			=ksize + 1
				lowerCamelCase			=np.zeros((ksize, ksize)     , dtype=np.floataa			)

				# each value
				for y in range(_UpperCAmelCase			):
								for x in range(_UpperCAmelCase			):
												# distance from center
												lowerCamelCase			=x - ksize // 2
												lowerCamelCase			=y - ksize // 2

												# degree to radiant
												lowerCamelCase			=theta / 1_80 * np.pi
												lowerCamelCase			=np.cos(_theta			)
												lowerCamelCase			=np.sin(_theta			)

												# get kernel x
												lowerCamelCase			=cos_theta * px + sin_theta * py

												# get kernel y
												lowerCamelCase			=-sin_theta * px + cos_theta * py

												# fill kernel
												lowerCamelCase			=np.exp(
												    -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)			) * np.cos(2 * np.pi * _x / lambd + psi			)

				return gabor


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							# read original image
							UpperCAmelCase__  :     str   			=imread('''../image_data/lena.jpg''')
							# turn image in gray scale value
							UpperCAmelCase__  :     Optional[int]   			=cvtColor(img, COLOR_BGR2GRAY)

							# Apply multiple Kernel to detect edges
							UpperCAmelCase__  :     Optional[int]   			=np.zeros(gray.shape[:2])
							for theta in [0, 30, 60, 90, 1_20, 1_50]:
														UpperCAmelCase__  :     Tuple   			=gabor_filter_kernel(10, 8, theta, 10, 0, 0)
														out += filteraD(gray, CV_8UC3, kernel_aa)
							UpperCAmelCase__  :     Dict   			=out / out.max() * 2_55
							UpperCAmelCase__  :     str   			=out.astype(np.uinta)

							imshow('''Original''', gray)
							imshow('''Gabor filter with 20x20 mask and 6 directions''', out)

							waitKey(0)












from json import JSONDecodeError  # Workaround for requests.exceptions.JSONDecodeError

import requests





def        _lowercase   (  _UpperCAmelCase = "isbn/0140328726"			)  ->					dict:
				lowerCamelCase			=olid.strip().strip("""/"""			)  # Remove leading/trailing whitespace & slashes
				if new_olid.count("""/"""			) != 1:
								lowerCamelCase			=F"""{olid} is not a valid Open Library olid"""
								raise ValueError(_UpperCAmelCase			)
				return requests.get(F"""https://openlibrary.org/{new_olid}.json"""			).json()





def        _lowercase   (  _UpperCAmelCase			)  ->					dict:
				lowerCamelCase			={
				    """title""": """Title""",
				    """publish_date""": """Publish date""",
				    """authors""": """Authors""",
				    """number_of_pages""": """Number of pages:""",
				    """first_sentence""": """First sentence""",
				    """isbn_10""": """ISBN (10)""",
				    """isbn_13""": """ISBN (13)""",
				}
				lowerCamelCase			={better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
				lowerCamelCase			=[
				    get_openlibrary_data(author["""key"""]			)["""name"""] for author in data["""Authors"""]
				]
				lowerCamelCase			=data["""First sentence"""]["""value"""]
				for key, value in data.items():
								if isinstance(_UpperCAmelCase     , _UpperCAmelCase			):
												lowerCamelCase			=""", """.join(_UpperCAmelCase			)
				return data


if __name__ == "__main__":
							import doctest

							doctest.testmod()

							while True:
														UpperCAmelCase__  :     List[str]   			=input('''\nEnter the ISBN code to search (or \'quit\' to stop): ''').strip()
														if isbn.lower() in ("", "q", "quit", "exit", "stop"):
																					break

														if len(isbn) not in (10, 13) or not isbn.isdigit():
																					print(F"Sorry, {isbn} is not a valid ISBN.  Please, input a valid ISBN.")
																					continue

														print(F"\nSearching Open Library for ISBN: {isbn}...\n")

														try:
																					UpperCAmelCase__  :     Dict   			=summarize_book(get_openlibrary_data(F"isbn/{isbn}"))
																					print('''\n'''.join(F"{key}: {value}" for key, value in book_summary.items()))
														except JSONDecodeError:  # Workaround for requests.exceptions.RequestException:
																					print(F"Sorry, there are no results for ISBN: {isbn}.")





