
'''simple docstring'''
from __future__ import annotations

from typing import Generic, TypeVar

lowerCAmelCase					:    Dict           = TypeVar('T')


class 			SCREAMING_SNAKE_CASE__      (     Generic[T]):







				def __init__(       self						,				A_     )->		None:







											'''simple docstring'''






											UpperCamelCase   			=     data
											UpperCamelCase   			=     self
											UpperCamelCase   			=     0


class 			SCREAMING_SNAKE_CASE__      (     Generic[T]):







				def __init__(       self     )->		None:







											'''simple docstring'''






											UpperCamelCase   			=     {}







				def 						UpperCAmelCase_    (       self						,				A_     )->		None:







											'''simple docstring'''






											UpperCamelCase   			=     DisjointSetTreeNode(A_     )







				def 						UpperCAmelCase_    (       self						,				A_     )->		DisjointSetTreeNode[T]:







											'''simple docstring'''






											UpperCamelCase   			=     self.map[data]
											if elem_ref != elem_ref.parent:
																		UpperCamelCase   			=     self.find_set(elem_ref.parent.data     )
											return elem_ref.parent







				def 						UpperCAmelCase_    (       self						,				A_						,				A_     )->		None:







											'''simple docstring'''






											if nodea.rank > nodea.rank:
																		UpperCamelCase   			=     nodea
											else:
																		UpperCamelCase   			=     nodea
																		if nodea.rank == nodea.rank:
																									nodea.rank += 1







				def 						UpperCAmelCase_    (       self						,				A_						,				A_     )->		None:







											'''simple docstring'''






											self.link(self.find_set(A_     )						,				self.find_set(A_     )     )


class 			SCREAMING_SNAKE_CASE__      (     Generic[T]):







				def __init__(       self     )->		None:







											'''simple docstring'''






											UpperCamelCase   			=     {}







				def 						UpperCAmelCase_    (       self						,				A_     )->		None:







											'''simple docstring'''






											if node not in self.connections:
																		UpperCamelCase   			=     {}







				def 						UpperCAmelCase_    (       self						,				A_						,				A_						,				A_     )->		None:







											'''simple docstring'''






											self.add_node(A_     )
											self.add_node(A_     )
											UpperCamelCase   			=     weight
											UpperCamelCase   			=     weight







				def 						UpperCAmelCase_    (       self     )->		GraphUndirectedWeighted[T]:







											'''simple docstring'''






											UpperCamelCase   			=     []
											UpperCamelCase   			=     set()
											for start in self.connections:
																		for end in self.connections[start]:
																									if (start, end) not in seen:
																																seen.add((end, start)     )
																																edges.append((start, end, self.connections[start][end])     )
											edges.sort(key=lambda A_     : x[2]     )

											# creating the disjoint set
											UpperCamelCase   			=     DisjointSetTree[T]()
											for node in self.connections:
																		disjoint_set.make_set(A_     )

											# MST generation
											UpperCamelCase   			=     0
											UpperCamelCase   			=     0
											UpperCamelCase   			=     GraphUndirectedWeighted[T]()
											while num_edges < len(self.connections     ) - 1:
																		UpperCamelCase			,	UpperCamelCase			,	UpperCamelCase   			=     edges[index]
																		index += 1
																		UpperCamelCase   			=     disjoint_set.find_set(A_     )
																		UpperCamelCase   			=     disjoint_set.find_set(A_     )
																		if parent_u != parent_v:
																									num_edges += 1
																									graph.add_edge(A_						,				A_						,				A_     )
																									disjoint_set.union(A_						,				A_     )
											return graph






'''simple docstring'''
import copy
import os

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


class 			SCREAMING_SNAKE_CASE__      :







				def __init__(       self     )->		Dict:







											'''simple docstring'''






											UpperCamelCase   			=     ''
											UpperCamelCase   			=     ''
											UpperCamelCase   			=     []
											UpperCamelCase   			=     0
											UpperCamelCase   			=     256
											UpperCamelCase   			=     0
											UpperCamelCase   			=     0
											UpperCamelCase   			=     0
											UpperCamelCase   			=     0







				def 						UpperCAmelCase_    (       self						,				A_     )->		str:







											'''simple docstring'''






											UpperCamelCase   			=     cva.imread(A_						,				0     )
											UpperCamelCase   			=     copy.deepcopy(self.img     )
											UpperCamelCase			,	UpperCamelCase			,	UpperCamelCase   			=     plt.hist(self.img.ravel()						,				256						,				[0, 256]						,				label='x'     )
											UpperCamelCase   			=     np.sum(A_     )
											for i in range(len(A_     )     ):
																		UpperCamelCase   			=     x[i] / self.k
																		self.sk += prk
																		UpperCamelCase   			=     (self.L - 1) * self.sk
																		if self.rem != 0:
																									UpperCamelCase   			=     int(last % last     )
																		UpperCamelCase   			=     int(last + 1 if self.rem >= 0.5 else last     )
																		self.last_list.append(A_     )
																		UpperCamelCase   			=     int(np.ma.count(self.img     ) / self.img[1].size     )
																		UpperCamelCase   			=     self.img[1].size
											for i in range(self.number_of_cols     ):
																		for j in range(self.number_of_rows     ):
																									UpperCamelCase   			=     self.img[j][i]
																									if num != self.last_list[num]:
																																UpperCamelCase   			=     self.last_list[num]
											cva.imwrite('output_data/output.jpg'						,				self.img     )







				def 						UpperCAmelCase_    (       self     )->		Any:







											'''simple docstring'''






											plt.hist(self.img.ravel()						,				256						,				[0, 256]     )







				def 						UpperCAmelCase_    (       self     )->		Optional[Any]:







											'''simple docstring'''






											cva.imshow('Output-Image'						,				self.img     )
											cva.imshow('Input-Image'						,				self.original_image     )
											cva.waitKey(5000     )
											cva.destroyAllWindows()


if __name__ == "__main__":
						lowerCAmelCase					:    Union[str, Any]           = os.path.join(os.path.basename(__file__), 'image_data/input.jpg')
						lowerCAmelCase					:    str           = ConstantStretch()
						stretcher.stretch(file_path)
						stretcher.plot_histogram()
						stretcher.show_image()




