

"""simple docstring"""


class    snake_case     :

				def __init__(     self							:    List[str]					,  UpperCamelCase__							:    str = ""					,  UpperCamelCase__							:    bool = False)->       None:



						'''simple docstring'''


						__lowerCAmelCase:	dict[str, RadixNode]   				=      {}

						# A node will be a leaf if the tree contains its word
						__lowerCAmelCase:	List[str]   				=      is_leaf

						__lowerCAmelCase:	Any   				=      prefix

				def 							lowercase_					(     self							:    Optional[int]					,  UpperCamelCase__							:    str)->       tuple[str, str, str]:



						'''simple docstring'''


						__lowerCAmelCase:	str   				=      0
						for q, w in zip(self.prefix					,  UpperCamelCase__):
								if q != w:
										break

								x += 1

						return self.prefix[:x], self.prefix[x:], word[x:]

				def 							lowercase_					(     self							:    Any					,  UpperCamelCase__							:    list[str])->       None:



						'''simple docstring'''


						for word in words:
								self.insert(UpperCamelCase__)

				def 							lowercase_					(     self							:    Optional[int]					,  UpperCamelCase__							:    str)->       None:



						'''simple docstring'''


						if self.prefix == word:
								__lowerCAmelCase:	Union[str, Any]   				=      True

						# Case 2: The node has no edges that have a prefix to the word
						# Solution: We create an edge from the current node to a new one
						# containing the word
						elif word[0] not in self.nodes:
								__lowerCAmelCase:	Union[str, Any]   				=      RadixNode(prefix=UpperCamelCase__					,  is_leaf=UpperCamelCase__)

						else:
								__lowerCAmelCase:	Optional[int]   				=      self.nodes[word[0]]
								__lowerCAmelCase				,			__lowerCAmelCase				,			__lowerCAmelCase:	Dict   				=      incoming_node.match(
								    UpperCamelCase__)

								# Case 3: The node prefix is equal to the matching
								# Solution: We insert remaining word on the next node
								if remaining_prefix == "":
										self.nodes[matching_string[0]].insert(UpperCamelCase__)

								# Case 4: The word is greater equal to the matching
								# Solution: Create a node in between both nodes, change
								# prefixes and add the new node for the remaining word
								else:
										__lowerCAmelCase:	str   				=      remaining_prefix

										__lowerCAmelCase:	str   				=      self.nodes[matching_string[0]]
										__lowerCAmelCase:	Union[str, Any]   				=      RadixNode(UpperCamelCase__					,  UpperCamelCase__)
										__lowerCAmelCase:	Any   				=      aux_node

										if remaining_word == "":
												__lowerCAmelCase:	Dict   				=      True
										else:
												self.nodes[matching_string[0]].insert(UpperCamelCase__)

				def 							lowercase_					(     self							:    Union[str, Any]					,  UpperCamelCase__							:    str)->       bool:



						'''simple docstring'''


						__lowerCAmelCase:	Union[str, Any]   				=      self.nodes.get(word[0]					,  UpperCamelCase__)
						if not incoming_node:
								return False
						else:
								__lowerCAmelCase				,			__lowerCAmelCase				,			__lowerCAmelCase:	Optional[int]   				=      incoming_node.match(
								    UpperCamelCase__)
								# If there is remaining prefix, the word can't be on the tree
								if remaining_prefix != "":
										return False
								# This applies when the word and the prefix are equal
								elif remaining_word == "":
										return incoming_node.is_leaf
								# We have word remaining so we check the next node
								else:
										return incoming_node.find(UpperCamelCase__)

				def 							lowercase_					(     self							:    Dict					,  UpperCamelCase__							:    str)->       bool:



						'''simple docstring'''


						__lowerCAmelCase:	Dict   				=      self.nodes.get(word[0]					,  UpperCamelCase__)
						if not incoming_node:
								return False
						else:
								__lowerCAmelCase				,			__lowerCAmelCase				,			__lowerCAmelCase:	Tuple   				=      incoming_node.match(
								    UpperCamelCase__)
								# If there is remaining prefix, the word can't be on the tree
								if remaining_prefix != "":
										return False
								# We have word remaining so we check the next node
								elif remaining_word != "":
										return incoming_node.delete(UpperCamelCase__)
								else:
										# If it is not a leaf, we don't have to delete
										if not incoming_node.is_leaf:
												return False
										else:
												# We delete the nodes if no edges go from it
												if len(incoming_node.nodes) == 0:
														del self.nodes[word[0]]
														# We merge the current node with its only child
														if len(self.nodes) == 1 and not self.is_leaf:
																__lowerCAmelCase:	Optional[int]   				=      list(self.nodes.values())[0]
																__lowerCAmelCase:	Any   				=      merging_node.is_leaf
																self.prefix += merging_node.prefix
																__lowerCAmelCase:	Any   				=      merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
												elif len(incoming_node.nodes) > 1:
														__lowerCAmelCase:	str   				=      False
												# If there is 1 edge, we merge it with its child
												else:
														__lowerCAmelCase:	int   				=      list(incoming_node.nodes.values())[0]
														__lowerCAmelCase:	List[Any]   				=      merging_node.is_leaf
														incoming_node.prefix += merging_node.prefix
														__lowerCAmelCase:	str   				=      merging_node.nodes

												return True




				def 							lowercase_					(     self							:    Tuple					,  UpperCamelCase__							:    int = 0)->       None:



						'''simple docstring'''


						if self.prefix != "":
								print("-" * height					,  self.prefix					,  "  (leaf)" if self.is_leaf else "")

						for value in self.nodes.values():
								value.print_tree(height + 1)






def    a__   (   )     ->     bool:
		__lowerCAmelCase:	Optional[Any]   				=      "banana bananas bandana band apple all beast".split()
		__lowerCAmelCase:	Tuple   				=      RadixNode()
		root.insert_many(__SCREAMING_SNAKE_CASE			)

		assert all(root.find(__SCREAMING_SNAKE_CASE			) for word in words			)
		assert not root.find("bandanas"			)
		assert not root.find("apps"			)
		root.delete("all"			)
		assert not root.find("all"			)
		root.delete("banana"			)
		assert not root.find("banana"			)
		assert root.find("bananas"			)

		return True






def    a__   (   )     ->     None:
		assert test_trie()






def    a__   (   )     ->     None:
		__lowerCAmelCase:	str   				=      RadixNode()
		__lowerCAmelCase:	Optional[Any]   				=      "banana bananas bandanas bandana band apple all beast".split()
		root.insert_many(__SCREAMING_SNAKE_CASE			)

		print("Words:" ,			__SCREAMING_SNAKE_CASE			)
		print("Tree:"			)
		root.print_tree()


if __name__ == "__main__":
			main()





"""simple docstring"""


from pathlib import Path

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






def    a__   (   __SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE			)     ->     np.ndarray:
		__lowerCAmelCase:	List[Any]   				=      cva.getAffineTransform(__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE			)
		return cva.warpAffine(__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE ,			(rows, cols)			)


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

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

			# add all rotated images in a list
			__A						       =      [
			    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						       =      plt.figure(1)
			__A						       =      ["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=0.05, right=1.0, top=0.95)
			plt.show()


