




'''simple docstring'''


from __future__ import annotations

import unittest
from collections.abc import Iterator







class     SCREAMING_SNAKE_CASE						:






      def __init__(   self      :     List[str]	,	lowercase__      :     List[str]	,	lowercase__      :     Any					):


           '''simple docstring'''

           a_    :       int    	=     label
           a_    :       Tuple    	=     parent
           a_    :       List[str]    	=     None
           a_    :       Any    	=     None







class     SCREAMING_SNAKE_CASE						:






      def __init__(   self      :     Optional[int]					):


           '''simple docstring'''

           a_    :       Optional[int]    	=     None






      def        lowercase_	(   self      :     int					):


           '''simple docstring'''

           a_    :       List[Any]    	=     None






      def        lowercase_	(   self      :     Optional[Any]					):


           '''simple docstring'''

           return self.root is None






      def        lowercase_	(   self      :     Optional[int]	,	lowercase__      :     Optional[int]					):


           '''simple docstring'''

           a_    :       int    	=     self._put(self.root	,	__UpperCamelCase					)






      def        lowercase_	(   self      :     Union[str, Any]	,	lowercase__      :     List[Any]	,	lowercase__      :     List[Any]	,	lowercase__      :     str = None					):


           '''simple docstring'''

           if node is None:
                a_    :       Union[str, Any]    	=     Node(__UpperCamelCase	,	__UpperCamelCase					)
           else:
                if label < node.label:
                     a_    :       int    	=     self._put(node.left	,	__UpperCamelCase	,	__UpperCamelCase					)
                elif label > node.label:
                     a_    :       str    	=     self._put(node.right	,	__UpperCamelCase	,	__UpperCamelCase					)
                else:
                     a_    :       Tuple    	=     F"Node with label {label} already exists"
                     raise Exception(__UpperCamelCase					)

           return node






      def        lowercase_	(   self      :     List[str]	,	lowercase__      :     Any					):


           '''simple docstring'''

           return self._search(self.root	,	__UpperCamelCase					)






      def        lowercase_	(   self      :     int	,	lowercase__      :     List[str]	,	lowercase__      :     List[Any]					):


           '''simple docstring'''

           if node is None:
                a_    :       Optional[Any]    	=     F"Node with label {label} does not exist"
                raise Exception(__UpperCamelCase					)
           else:
                if label < node.label:
                     a_    :       Optional[int]    	=     self._search(node.left	,	__UpperCamelCase					)
                elif label > node.label:
                     a_    :       List[str]    	=     self._search(node.right	,	__UpperCamelCase					)

           return node






      def        lowercase_	(   self      :     Optional[int]	,	lowercase__      :     List[str]					):


           '''simple docstring'''

           a_    :       Union[str, Any]    	=     self.search(__UpperCamelCase					)
           if node.right and node.left:
                a_    :       Optional[Any]    	=     self._get_lowest_node(node.right					)
                a_    :       int    	=     node.left
                a_    :       Dict    	=     node.right
                a_    :       str    	=     lowest_node
                if node.right:
                     a_    :       List[str]    	=     lowest_node
                self._reassign_nodes(__UpperCamelCase	,	__UpperCamelCase					)
           elif not node.right and node.left:
                self._reassign_nodes(__UpperCamelCase	,	node.left					)
           elif node.right and not node.left:
                self._reassign_nodes(__UpperCamelCase	,	node.right					)
           else:
                self._reassign_nodes(__UpperCamelCase	,	__UpperCamelCase					)






      def        lowercase_	(   self      :     Tuple	,	lowercase__      :     str	,	lowercase__      :     Dict					):


           '''simple docstring'''

           if new_children:
                a_    :       int    	=     node.parent

           if node.parent:
                if node.parent.right == node:
                     a_    :       List[Any]    	=     new_children
                else:
                     a_    :       Any    	=     new_children
           else:
                a_    :       Optional[int]    	=     new_children






      def        lowercase_	(   self      :     List[str]	,	lowercase__      :     List[Any]					):


           '''simple docstring'''

           if node.left:
                a_    :       List[str]    	=     self._get_lowest_node(node.left					)
           else:
                a_    :       Any    	=     node
                self._reassign_nodes(__UpperCamelCase	,	node.right					)

           return lowest_node






      def        lowercase_	(   self      :     List[Any]	,	lowercase__      :     List[str]					):


           '''simple docstring'''

           try:
                self.search(__UpperCamelCase					)
                return True
           except Exception:
                return False






      def        lowercase_	(   self      :     List[Any]					):


           '''simple docstring'''

           if self.root is None:
                raise Exception("""Binary search tree is empty"""					)

           a_    :       str    	=     self.root
           while node.right is not None:
                a_    :       List[Any]    	=     node.right

           return node.label






      def        lowercase_	(   self      :     Any					):


           '''simple docstring'''

           if self.root is None:
                raise Exception("""Binary search tree is empty"""					)

           a_    :       Any    	=     self.root
           while node.left is not None:
                a_    :       Dict    	=     node.left

           return node.label






      def        lowercase_	(   self      :     Any					):


           '''simple docstring'''

           return self._inorder_traversal(self.root					)






      def        lowercase_	(   self      :     List[Any]	,	lowercase__      :     Optional[int]					):


           '''simple docstring'''

           if node is not None:
                yield from self._inorder_traversal(node.left					)
                yield node
                yield from self._inorder_traversal(node.right					)






      def        lowercase_	(   self      :     Any					):


           '''simple docstring'''

           return self._preorder_traversal(self.root					)






      def        lowercase_	(   self      :     List[Any]	,	lowercase__      :     int					):


           '''simple docstring'''

           if node is not None:
                yield node
                yield from self._preorder_traversal(node.left					)
                yield from self._preorder_traversal(node.right					)







class     SCREAMING_SNAKE_CASE						(	unittest.TestCase							):






      @staticmethod
      def        lowercase_	(   ):


           '''simple docstring'''

           a_    :       List[str]    	=     BinarySearchTree()
           t.put(8					)
           t.put(3					)
           t.put(6					)
           t.put(1					)
           t.put(10					)
           t.put(14					)
           t.put(13					)
           t.put(4					)
           t.put(7					)
           t.put(5					)

           return t






      def        lowercase_	(   self      :     Optional[int]					):


           '''simple docstring'''

           a_    :       int    	=     BinarySearchTree()
           assert t.is_empty()

           t.put(8					)
           assert t.root is not None
           assert t.root.parent is None
           assert t.root.label == 8

           t.put(10					)
           assert t.root.right is not None
           assert t.root.right.parent == t.root
           assert t.root.right.label == 10

           t.put(3					)
           assert t.root.left is not None
           assert t.root.left.parent == t.root
           assert t.root.left.label == 3

           t.put(6					)
           assert t.root.left.right is not None
           assert t.root.left.right.parent == t.root.left
           assert t.root.left.right.label == 6

           t.put(1					)
           assert t.root.left.left is not None
           assert t.root.left.left.parent == t.root.left
           assert t.root.left.left.label == 1

           with self.assertRaises(__UpperCamelCase					):  # noqa: B017
                t.put(1					)






      def        lowercase_	(   self      :     Any					):


           '''simple docstring'''

           a_    :       List[str]    	=     self._get_binary_search_tree()

           a_    :       int    	=     t.search(6					)
           assert node.label == 6

           a_    :       Optional[int]    	=     t.search(13					)
           assert node.label == 13

           with self.assertRaises(__UpperCamelCase					):  # noqa: B017
                t.search(2					)






      def        lowercase_	(   self      :     Any					):


           '''simple docstring'''

           a_    :       Any    	=     self._get_binary_search_tree()

           t.remove(13					)
           assert t.root is not None
           assert t.root.right is not None
           assert t.root.right.right is not None
           assert t.root.right.right.right is None
           assert t.root.right.right.left is None

           t.remove(7					)
           assert t.root.left is not None
           assert t.root.left.right is not None
           assert t.root.left.right.left is not None
           assert t.root.left.right.right is None
           assert t.root.left.right.left.label == 4

           t.remove(6					)
           assert t.root.left.left is not None
           assert t.root.left.right.right is not None
           assert t.root.left.left.label == 1
           assert t.root.left.right.label == 4
           assert t.root.left.right.right.label == 5
           assert t.root.left.right.left is None
           assert t.root.left.left.parent == t.root.left
           assert t.root.left.right.parent == t.root.left

           t.remove(3					)
           assert t.root is not None
           assert t.root.left.label == 4
           assert t.root.left.right.label == 5
           assert t.root.left.left.label == 1
           assert t.root.left.parent == t.root
           assert t.root.left.left.parent == t.root.left
           assert t.root.left.right.parent == t.root.left

           t.remove(4					)
           assert t.root.left is not None
           assert t.root.left.left is not None
           assert t.root.left.label == 5
           assert t.root.left.right is None
           assert t.root.left.left.label == 1
           assert t.root.left.parent == t.root
           assert t.root.left.left.parent == t.root.left






      def        lowercase_	(   self      :     str					):


           '''simple docstring'''

           a_    :       Dict    	=     self._get_binary_search_tree()

           t.remove(3					)
           assert t.root is not None
           assert t.root.left is not None
           assert t.root.left.left is not None
           assert t.root.left.right is not None
           assert t.root.left.right.left is not None
           assert t.root.left.right.right is not None
           assert t.root.left.label == 4
           assert t.root.left.right.label == 6
           assert t.root.left.left.label == 1
           assert t.root.left.right.right.label == 7
           assert t.root.left.right.left.label == 5
           assert t.root.left.parent == t.root
           assert t.root.left.right.parent == t.root.left
           assert t.root.left.left.parent == t.root.left
           assert t.root.left.right.left.parent == t.root.left.right






      def        lowercase_	(   self      :     Optional[Any]					):


           '''simple docstring'''

           a_    :       Optional[int]    	=     self._get_binary_search_tree()
           t.empty()
           assert t.root is None






      def        lowercase_	(   self      :     str					):


           '''simple docstring'''

           a_    :       List[Any]    	=     self._get_binary_search_tree()
           assert not t.is_empty()

           t.empty()
           assert t.is_empty()






      def        lowercase_	(   self      :     Optional[int]					):


           '''simple docstring'''

           a_    :       Dict    	=     self._get_binary_search_tree()

           assert t.exists(6					)
           assert not t.exists(-1					)






      def        lowercase_	(   self      :     Any					):


           '''simple docstring'''

           a_    :       str    	=     self._get_binary_search_tree()

           assert t.get_max_label() == 14

           t.empty()
           with self.assertRaises(__UpperCamelCase					):  # noqa: B017
                t.get_max_label()






      def        lowercase_	(   self      :     Dict					):


           '''simple docstring'''

           a_    :       Dict    	=     self._get_binary_search_tree()

           assert t.get_min_label() == 1

           t.empty()
           with self.assertRaises(__UpperCamelCase					):  # noqa: B017
                t.get_min_label()






      def        lowercase_	(   self      :     str					):


           '''simple docstring'''

           a_    :       Any    	=     self._get_binary_search_tree()

           a_    :       List[str]    	=     [i.label for i in t.inorder_traversal()]
           assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 10, 13, 14]






      def        lowercase_	(   self      :     List[str]					):


           '''simple docstring'''

           a_    :       Optional[Any]    	=     self._get_binary_search_tree()

           a_    :       Dict    	=     [i.label for i in t.preorder_traversal()]
           assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 10, 14, 13]



def    _SCREAMING_SNAKE_CASE    (			):




     """simple docstring"""


     a_    :       Any    	=     BinarySearchTree()
     t.put(8							)
     t.put(3							)
     t.put(6							)
     t.put(1							)
     t.put(10							)
     t.put(14							)
     t.put(13							)
     t.put(4							)
     t.put(7							)
     t.put(5							)

     print(
         """\n            8\n           / \\\n          3   10\n         / \\    \\\n        1   6    14\n           / \\   /\n          4   7 13\n           \\\n            5\n        """							)

     print("""Label 6 exists:"""   ,						t.exists(6							)							)
     print("""Label 13 exists:"""   ,						t.exists(13							)							)
     print("""Label -1 exists:"""   ,						t.exists(-1							)							)
     print("""Label 12 exists:"""   ,						t.exists(12							)							)

     # Prints all the elements of the list in inorder traversal
     a_    :       Union[str, Any]    	=     [i.label for i in t.inorder_traversal()]
     print("""Inorder traversal:"""   ,						lowercase_							)

     # Prints all the elements of the list in preorder traversal
     a_    :       int    	=     [i.label for i in t.preorder_traversal()]
     print("""Preorder traversal:"""   ,						lowercase_							)

     print("""Max. label:"""   ,						t.get_max_label()							)
     print("""Min. label:"""   ,						t.get_min_label()							)

     # Delete elements
     print("""\nDeleting elements 13, 10, 8, 3, 6, 14"""							)
     print(
         """\n          4\n         / \\\n        1   7\n             \\\n              5\n        """							)
     t.remove(13							)
     t.remove(10							)
     t.remove(8							)
     t.remove(3							)
     t.remove(6							)
     t.remove(14							)

     # Prints all the elements of the list in inorder traversal after delete
     a_    :       Any    	=     [i.label for i in t.inorder_traversal()]
     print("""Inorder traversal after delete:"""   ,						lowercase_							)

     # Prints all the elements of the list in preorder traversal after delete
     a_    :       Union[str, Any]    	=     [i.label for i in t.preorder_traversal()]
     print("""Preorder traversal after delete:"""   ,						lowercase_							)

     print("""Max. label:"""   ,						t.get_max_label()							)
     print("""Min. label:"""   ,						t.get_min_label()							)


if __name__ == "__main__":
 binary_search_tree_example()






'''simple docstring'''


import colorsys
import io

import cva
import matplotlib as mpl
import matplotlib.colors as mplc
import matplotlib.figure as mplfigure
import numpy as np
import torch
from matplotlib.backends.backend_agg import FigureCanvasAgg

from utils import img_tensorize


lowerCAmelCase_			:     Tuple							    =     1000







class     SCREAMING_SNAKE_CASE						:






      def __init__(   self      :     Union[str, Any]	,	lowercase__      :     Optional[int]	,	lowercase__      :     Optional[int]=1.2	,	lowercase__      :     Tuple="g"	,	lowercase__      :     str=0.5	,	lowercase__      :     List[str]="-"	,	lowercase__      :     Union[str, Any]="test_out.jpg"	,	lowercase__      :     Dict=True	,	lowercase__      :     Optional[int]=False	,	lowercase__      :     str=None	,	lowercase__      :     Union[str, Any]=None	,	lowercase__      :     Tuple=0.7	,	):


           '''simple docstring'''

           if isinstance(lowercase__	,	torch.Tensor					):
                a_    :       Union[str, Any]    	=     img.numpy().astype("""np.uint8"""					)
           if isinstance(lowercase__	,	lowercase__					):
                a_    :       List[Any]    	=     img_tensorize(lowercase__					)
           assert isinstance(lowercase__	,	np.ndarray					)

           a_	,    a_    :       int    	=     img.shape[1], img.shape[0]
           a_    :       str    	=     mplfigure.Figure(frameon=lowercase__					)
           a_    :       Optional[int]    	=     fig.get_dpi()
           a_    :       List[Any]    	=     (width * scale + 1e-2) / dpi
           a_    :       Union[str, Any]    	=     (height * scale + 1e-2) / dpi
           fig.set_size_inches(lowercase__	,	lowercase__					)
           a_    :       Optional[Any]    	=     fig.add_axes([0.0, 0.0, 1.0, 1.0]					)
           ax.axis("""off"""					)
           ax.set_xlim(0.0	,	lowercase__					)
           ax.set_ylim(lowercase__					)

           a_    :       Union[str, Any]    	=     saveas
           a_    :       List[Any]    	=     rgb
           a_    :       Optional[int]    	=     pynb
           a_    :       Any    	=     img
           a_    :       List[Any]    	=     edgecolor
           a_    :       str    	=     0.5
           a_    :       Optional[int]    	=     linestyle
           a_    :       int    	=     int(np.sqrt(min(lowercase__	,	lowercase__					)					) * scale // 3					)
           a_    :       Optional[int]    	=     width
           a_    :       Union[str, Any]    	=     height
           a_    :       List[Any]    	=     scale
           a_    :       Any    	=     fig
           a_    :       List[Any]    	=     ax
           a_    :       Union[str, Any]    	=     pad
           a_    :       List[str]    	=     idaobj
           a_    :       List[Any]    	=     idaattr
           a_    :       Union[str, Any]    	=     FigureCanvasAgg(lowercase__					)






      def        lowercase_	(   self      :     Optional[Any]	,	lowercase__      :     Optional[Any]	,	lowercase__      :     str=None					):


           '''simple docstring'''

           if color is None:
                a_    :       int    	=     self.edgecolor
           ((a_)	,    (a_)	,    (a_)	,    (a_))    :       Union[str, Any]    	=     box
           a_    :       Union[str, Any]    	=     xa - xa
           a_    :       List[Any]    	=     ya - ya
           self.ax.add_patch(
               mpl.patches.Rectangle(
                   (xa, ya)	,	lowercase__	,	lowercase__	,	fill=lowercase__	,	edgecolor=lowercase__	,	linewidth=self.font_size // 3	,	alpha=self.alpha	,	linestyle=self.linestyle	,	)					)






      def        lowercase_	(   self      :     int	,	lowercase__      :     List[Any]	,	lowercase__      :     List[str]=None	,	lowercase__      :     Optional[Any]=None	,	lowercase__      :     List[Any]=None	,	lowercase__      :     Union[str, Any]=None					):


           '''simple docstring'''

           if len(boxes.shape					) > 2:
                a_    :       List[Any]    	=     boxes[0]
           if len(obj_ids.shape					) > 1:
                a_    :       List[Any]    	=     obj_ids[0]
           if len(obj_scores.shape					) > 1:
                a_    :       Optional[int]    	=     obj_scores[0]
           if len(attr_ids.shape					) > 1:
                a_    :       int    	=     attr_ids[0]
           if len(attr_scores.shape					) > 1:
                a_    :       Dict    	=     attr_scores[0]
           if isinstance(lowercase__	,	torch.Tensor					):
                a_    :       Optional[Any]    	=     boxes.numpy()
           if isinstance(lowercase__	,	lowercase__					):
                a_    :       List[Any]    	=     np.array(lowercase__					)
           assert isinstance(lowercase__	,	np.ndarray					)
           a_    :       Optional[int]    	=     np.prod(boxes[:, 2:] - boxes[:, :2]	,	axis=1					)
           a_    :       List[str]    	=     np.argsort(-areas					).tolist()
           a_    :       List[Any]    	=     boxes[sorted_idxs] if boxes is not None else None
           a_    :       List[Any]    	=     obj_ids[sorted_idxs] if obj_ids is not None else None
           a_    :       Any    	=     obj_scores[sorted_idxs] if obj_scores is not None else None
           a_    :       List[Any]    	=     attr_ids[sorted_idxs] if attr_ids is not None else None
           a_    :       str    	=     attr_scores[sorted_idxs] if attr_scores is not None else None

           a_    :       Tuple    	=     [self._random_color(maximum=1					) for _ in range(len(lowercase__					)					)]
           a_    :       List[Any]    	=     [assigned_colors[idx] for idx in sorted_idxs]
           if obj_ids is not None:
                a_    :       Dict    	=     self._create_text_labels_attr(lowercase__	,	lowercase__	,	lowercase__	,	lowercase__					)
                for i in range(len(lowercase__					)					):
                     a_    :       Optional[int]    	=     assigned_colors[i]
                     self.add_box(boxes[i]	,	lowercase__					)
                     self.draw_labels(labels[i]	,	boxes[i]	,	lowercase__					)






      def        lowercase_	(   self      :     Optional[Any]	,	lowercase__      :     Any	,	lowercase__      :     Optional[Any]	,	lowercase__      :     Optional[Any]					):


           '''simple docstring'''

           a_	,    a_	,    a_	,    a_    :       int    	=     box
           a_    :       List[str]    	=     (xa, ya)
           a_    :       Optional[int]    	=     (ya - ya) * (xa - xa)
           a_    :       Optional[Any]    	=     _SMALL_OBJ * self.scale
           if instance_area < small or ya - ya < 40 * self.scale:
                if ya >= self.height - 5:
                     a_    :       Dict    	=     (xa, ya)
                else:
                     a_    :       str    	=     (xa, ya)

           a_    :       List[Any]    	=     (ya - ya) / np.sqrt(self.height * self.width					)
           a_    :       Optional[int]    	=     self._change_color_brightness(lowercase__	,	brightness_factor=0.7					)
           a_    :       List[str]    	=     np.clip((height_ratio - 0.02) / 0.08 + 1	,	1.2	,	2					)
           font_size *= 0.75 * self.font_size

           self.draw_text(
               text=lowercase__	,	position=lowercase__	,	color=lowercase__	,	)






      def        lowercase_	(   self      :     Any	,	lowercase__      :     Optional[int]	,	lowercase__      :     Tuple	,	lowercase__      :     str="g"	,	lowercase__      :     Optional[Any]="left"	,	):


           '''simple docstring'''

           a_    :       List[Any]    	=     0
           a_    :       Tuple    	=     self.font_size
           a_    :       Tuple    	=     np.maximum(list(mplc.to_rgb(lowercase__					)					)	,	0.2					)
           a_    :       List[str]    	=     max(0.8	,	np.max(lowercase__					)					)
           a_    :       str    	=     {
               """facecolor""": """black""",
               """alpha""": self.alpha,
               """pad""": self.pad,
               """edgecolor""": """none""",
           }
           a_	,    a_    :       Any    	=     position
           self.ax.text(
               lowercase__	,	lowercase__	,	lowercase__	,	size=font_size * self.scale	,	family="""sans-serif"""	,	bbox=lowercase__	,	verticalalignment="""top"""	,	horizontalalignment=lowercase__	,	color=lowercase__	,	zorder=10	,	rotation=lowercase__	,	)






      def        lowercase_	(   self      :     List[Any]	,	lowercase__      :     Optional[Any]=None					):


           '''simple docstring'''

           if saveas is None:
                a_    :       Dict    	=     self.saveas
           if saveas.lower().endswith(""".jpg"""					) or saveas.lower().endswith(""".png"""					):
                cva.imwrite(
                    lowercase__	,	self._get_buffer()[:, :, ::-1]	,	)
           else:
                self.fig.savefig(lowercase__					)






      def        lowercase_	(   self      :     List[Any]	,	lowercase__      :     int	,	lowercase__      :     Tuple	,	lowercase__      :     Optional[int]	,	lowercase__      :     Tuple					):


           '''simple docstring'''

           a_    :       Optional[int]    	=     [self.idaobj[i] for i in classes]
           a_    :       Any    	=     [self.idaattr[i] for i in attr_classes]
           a_    :       List[str]    	=     [
               F"{label} {score:.2f} {attr} {attr_score:.2f}"
               for label, score, attr, attr_score in zip(lowercase__	,	lowercase__	,	lowercase__	,	lowercase__					)
           ]
           return labels






      def        lowercase_	(   self      :     str	,	lowercase__      :     Optional[Any]	,	lowercase__      :     Optional[Any]					):


           '''simple docstring'''

           a_    :       Optional[int]    	=     [self.idaobj[i] for i in classes]
           if scores is not None:
                if labels is None:
                     a_    :       int    	=     ["""{:.0f}%""".format(s * 100					) for s in scores]
                else:
                     a_    :       Optional[int]    	=     ["""{} {:.0f}%""".format(lowercase__	,	s * 100					) for li, s in zip(lowercase__	,	lowercase__					)]
           return labels






      def        lowercase_	(   self      :     Dict	,	lowercase__      :     Union[str, Any]=255					):


           '''simple docstring'''

           a_    :       int    	=     np.random.randint(0	,	len(_COLORS					)					)
           a_    :       Tuple    	=     _COLORS[idx] * maximum
           if not self.rgb:
                a_    :       str    	=     ret[::-1]
           return ret






      def        lowercase_	(   self      :     Optional[Any]					):


           '''simple docstring'''

           if not self.pynb:
                a_	,    a_    :       int    	=     self.canvas.print_to_buffer()
                if (width, height) != (self.width, self.height):
                     a_    :       Union[str, Any]    	=     cva.resize(self.img	,	(width, height)					)
                else:
                     a_    :       int    	=     self.img
           else:
                a_    :       Optional[Any]    	=     io.BytesIO()  # works for cairo backend
                self.canvas.print_rgba(lowercase__					)
                a_	,    a_    :       List[Any]    	=     self.width, self.height
                a_    :       Tuple    	=     buf.getvalue()
                a_    :       Tuple    	=     self.img

           a_    :       Optional[Any]    	=     np.frombuffer(lowercase__	,	dtype="""uint8"""					)
           a_    :       Union[str, Any]    	=     buffer.reshape(lowercase__	,	lowercase__	,	4					)
           a_	,    a_    :       Optional[Any]    	=     np.split(lowercase__	,	[3]	,	axis=2					)

           try:
                import numexpr as ne  # fuse them with numexpr

                a_    :       Dict    	=     ne.evaluate("""img * (1 - alpha / 255.0) + rgb * (alpha / 255.0)"""					)
           except ImportError:
                a_    :       List[Any]    	=     alpha.astype("""float32"""					) / 255.0
                a_    :       Optional[int]    	=     img * (1 - alpha) + rgb * alpha

           return visualized_image.astype("""uint8"""					)






      def        lowercase_	(   self      :     Optional[Any]	,	lowercase__      :     Union[str, Any]	,	lowercase__      :     Any					):


           '''simple docstring'''

           assert brightness_factor >= -1.0 and brightness_factor <= 1.0
           a_    :       str    	=     mplc.to_rgb(lowercase__					)
           a_    :       Optional[int]    	=     colorsys.rgb_to_hls(*mplc.to_rgb(lowercase__					)					)
           a_    :       Union[str, Any]    	=     polygon_color[1] + (brightness_factor * polygon_color[1])
           a_    :       int    	=     0.0 if modified_lightness < 0.0 else modified_lightness
           a_    :       Any    	=     1.0 if modified_lightness > 1.0 else modified_lightness
           a_    :       Optional[int]    	=     colorsys.hls_to_rgb(polygon_color[0]	,	lowercase__	,	polygon_color[2]					)
           return modified_color

lowerCAmelCase_			:     List[Any]							    =     (
    np.array(
        [
            0.000,
            0.447,
            0.741,
            0.850,
            0.325,
            0.098,
            0.929,
            0.694,
            0.125,
            0.494,
            0.184,
            0.556,
            0.466,
            0.674,
            0.188,
            0.301,
            0.745,
            0.933,
            0.635,
            0.078,
            0.184,
            0.300,
            0.300,
            0.300,
            0.600,
            0.600,
            0.600,
            1.000,
            0.000,
            0.000,
            1.000,
            0.500,
            0.000,
            0.749,
            0.749,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            1.000,
            0.667,
            0.000,
            1.000,
            0.333,
            0.333,
            0.000,
            0.333,
            0.667,
            0.000,
            0.333,
            1.000,
            0.000,
            0.667,
            0.333,
            0.000,
            0.667,
            0.667,
            0.000,
            0.667,
            1.000,
            0.000,
            1.000,
            0.333,
            0.000,
            1.000,
            0.667,
            0.000,
            1.000,
            1.000,
            0.000,
            0.000,
            0.333,
            0.500,
            0.000,
            0.667,
            0.500,
            0.000,
            1.000,
            0.500,
            0.333,
            0.000,
            0.500,
            0.333,
            0.333,
            0.500,
            0.333,
            0.667,
            0.500,
            0.333,
            1.000,
            0.500,
            0.667,
            0.000,
            0.500,
            0.667,
            0.333,
            0.500,
            0.667,
            0.667,
            0.500,
            0.667,
            1.000,
            0.500,
            1.000,
            0.000,
            0.500,
            1.000,
            0.333,
            0.500,
            1.000,
            0.667,
            0.500,
            1.000,
            1.000,
            0.500,
            0.000,
            0.333,
            1.000,
            0.000,
            0.667,
            1.000,
            0.000,
            1.000,
            1.000,
            0.333,
            0.000,
            1.000,
            0.333,
            0.333,
            1.000,
            0.333,
            0.667,
            1.000,
            0.333,
            1.000,
            1.000,
            0.667,
            0.000,
            1.000,
            0.667,
            0.333,
            1.000,
            0.667,
            0.667,
            1.000,
            0.667,
            1.000,
            1.000,
            1.000,
            0.000,
            1.000,
            1.000,
            0.333,
            1.000,
            1.000,
            0.667,
            1.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.167,
            0.000,
            0.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.167,
            0.000,
            0.000,
            0.333,
            0.000,
            0.000,
            0.500,
            0.000,
            0.000,
            0.667,
            0.000,
            0.000,
            0.833,
            0.000,
            0.000,
            1.000,
            0.000,
            0.000,
            0.000,
            0.143,
            0.143,
            0.143,
            0.857,
            0.857,
            0.857,
            1.000,
            1.000,
            1.000,
        ]
    )
    .astype(np.floataa)
    .reshape(-1, 3)
)
