def Progression_Property(self, first_property=False, make_graph=True):
for iteration_number in range(self.variables["times"]):
# print("%d of %d" % (iteration_number + 1, self.variables["times"]))
self.x, self.y = self.Do_Calculation(iteration_number)
self.Do_Area()
self.property_x.append(iteration_number + 1)
if first_property:
self.property_y.append(
self.property_area.amount_of_marcked_squares)
else:
self.dimension_obj = Dimension(
self.property_area.amount_of_marcked_squares,
self.property_area.passing)
self.property_y.append(self.dimension_obj.dimension)
if first_property:
description = {
"title": "Progression of property area\nKoch Flake Fractal",
"label_x": "Iteration",
"label_y": "Marcked Squares",
"label_plot": "Koch Flake"
}
else:
description = {
"title":
"Progression of property dimension\nKoch Flake Fractal",
"label_x": "Iteration",
"label_y": "Dimension Fractal",
"label_plot": "Koch Flake"
}
self.Assemble_Graph(self.property_x, self.property_y,
description["title"], description["label_x"],
description["label_y"], description["label_plot"],
make_graph)
def Property_Dimension(self):
self.property_square = PropertyPerSquare(self.x[-1], self.y[-1],
self.variables["value"])
dimension_obj = Dimension(
self.property_square.amount_of_marcked_squares,
self.property_square.passing)
self.dimension = dimension_obj.dimension
def Progression_Property(self, first_property=False, make_graph=True):
while self.iteration_number < self.variables["times"]:
self.iteration_number += 1
self.Do_Calculation()
# print("%d of %d" % (self.iteration_number, self.variables["times"]))
self.Do_Perimeter()
self.property_x.append(self.iteration_number)
if first_property:
self.property_y.append(
self.property_square.amount_of_marcked_squares)
else:
self.dimension_obj = Dimension(
self.property_square.amount_of_marcked_squares,
self.property_square.passing)
self.property_y.append(self.dimension_obj.dimension)
if first_property:
description = {
"title":
"Progression of property perimeter\nHilbert Curve Fractal",
"label_x": "Iteration",
"label_y": "Marcked Squares",
"label_plot": "Hilbert Curve"
}
else:
description = {
"title":
"Progression of property dimension\nHilbert Curve Fractal",
"label_x": "Iteration",
"label_y": "Dimension Fractal",
"label_plot": "Hilbert Curve"
}
self.Assemble_Graph(self.property_x, self.property_y,
description["title"], description["label_x"],
description["label_y"], description["label_plot"],
make_graph)
def Progression_Property(self,
new_points_per_measurement=10000,
first_property=False,
make_graph=True):
x_start = self.x
y_start = self.y
self.x = [sum(x_start) / len(x_start)]
self.y = [sum(y_start) / len(y_start)]
counter = 0
limit = new_points_per_measurement
iteration = 1
while counter <= self.variables["times"]:
if counter == limit or counter == self.variables["times"]:
self.property_square = PropertyPerSquare(
self.x, self.y, self.variables["value"])
self.property_x.append(iteration)
if first_property:
self.property_y.append(
self.property_square.amount_of_marcked_squares)
else:
self.dimension_obj = Dimension(
self.property_square.amount_of_marcked_squares,
self.property_square.passing)
self.property_y.append(self.dimension_obj.dimension)
iteration += 1
limit = iteration * new_points_per_measurement
index = randint(0, len(x_start) - 1)
self.x.append(
(x_start[index] + self.x[-1]) / self.variables["divader"])
self.y.append(
(y_start[index] + self.y[-1]) / self.variables["divader"])
counter += 1
if first_property:
description = {
"title":
"Progression of property per square\nChaotic Triangle Fractal",
"label_x": "Points(n * new_points_per_measurement)",
"label_y": "Marcked Squares",
"label_plot": "Chaotic Triangle"
}
else:
description = {
"title":
"Progression of property dimension\nChaotic Triangle Fractal",
"label_x": "Points(n * new_points_per_measurement)",
"label_y": "Dimension Fractal",
"label_plot": "Chaotic Triangle"
}
self.Assemble_Graph(self.property_x, self.property_y,
description["title"], description["label_x"],
description["label_y"], description["label_plot"],
make_graph)
def Progression_Property(self, first_property=False, make_graph=True):
for iteration_number in range(1, self.variables["times"] + 1):
self.Make_Triangle()
new_x, new_y = [], []
index = 0
limit = len(self.x)
while index < limit:
new_x.extend(self.x[index])
new_y.extend(self.y[index])
index += 1
passing = (max(new_x) - min(new_y)) / self.variables["value"]
self.property_perimeter = PropertyPerimeter(new_x, new_y)
new_x, new_y = self.property_perimeter.Perimeter(passing)
self.property_square = PropertyPerSquare(new_x, new_y,
self.variables["value"])
# print("%d of %d" % (iteration_number, self.variables["times"]))
self.property_x.append(iteration_number)
if first_property:
self.property_y.append(
self.property_square.amount_of_marcked_squares)
else:
self.dimension_obj = Dimension(
self.property_square.amount_of_marcked_squares,
self.property_square.passing)
self.property_y.append(self.dimension_obj.dimension)
if first_property:
description = {
"title":
"Progression of property perimeter\nArrowhead Fractal",
"label_x": "Iteration",
"label_y": "Marcked Squares",
"label_plot": "Arrowhead"
}
else:
description = {
"title":
"Progression of property dimension\nArrowhead Fractal",
"label_x": "Iteration",
"label_y": "Dimension Fractal",
"label_plot": "Arrowhead"
}
self.Assemble_Graph(self.property_x, self.property_y,
description["title"], description["label_x"],
description["label_y"], description["label_plot"],
make_graph)
def Progression_Property(self, first_property = False, make_graph = True):
self.passing = 1 / self.variables["value"]
times = self.variables["end"]
for iteration in range(2, times + 1):
self.variables["end"] = 2 ** iteration
self.initiator = 2 ** (iteration - 1)
self.Do_Calculation()
self.property_x.append(iteration)
if first_property:
self.property_square = PropertyPerSquare(self.x, self.y, self.variables["value"])
self.property_y.append(self.property_square.amount_of_marcked_squares)
else:
property_x, property_y = self.Scale_Corrector()
self.property_square = PropertyPerSquare(property_x, property_y, self.variables["value"])
self.dimension_obj = Dimension(self.property_square.amount_of_marcked_squares, self.passing)
self.property_y.append(self.dimension_obj.dimension)
if first_property:
description = {"title": "Progression of property per square\nInverted Binary Fractal", "label_x": "Iteration", "label_y": "Marcked Squares", "label_plot": "Inverted Binary"}
else:
description = {"title": "Progression of property dimension\nInverted Binary Fractal", "label_x": "Iteration", "label_y": "Dimension Fractal", "label_plot": "Inverted Binary"}
self.Assemble_Graph(self.property_x, self.property_y, description["title"], description["label_x"], description["label_y"], description["label_plot"], make_graph)
def Progression_Property(self, first_property = False, make_graph = True):
self.noshow = True
self.Do_Calculation()
self.property_x.append(1)
self.property_y.append(self.variables["size"] / self.variables["value"])
# print("%d of %d" % (1, self.variables["times"]))
for iteration_number in range(1, self.variables["times"]):
self.Do_Calculation()
# print("%d of %d" % (iteration_number + 1, self.variables["times"]))
self.Do_Perimeter()
self.new_xx, self.new_yy = [], []
self.property_x.append(iteration_number + 1)
if first_property:
self.property_y.append(self.property_square.amount_of_marcked_squares)
else:
self.dimension_obj = Dimension(self.property_square.amount_of_marcked_squares, self.property_square.passing)
self.property_y.append(self.dimension_obj.dimension)
if first_property:
description = {"title": "Progression of property perimeter\nTree Fractal", "label_x": "Iteration Number", "label_y": "Marcked Squares", "label_plot": "Tree"}
else:
description = {"title": "Progression of property dimension\nTree Fractal", "label_x": "Iteration Number", "label_y": "Dimension Fractal", "label_plot": "Tree"}
self.Assemble_Graph(self.property_x, self.property_y, description["title"], description["label_x"], description["label_y"], description["label_plot"], make_graph)
def Progression_Property(self, first_property=False, make_graph=True):
while self.iteration_number < self.variables["times"]:
self.iteration_number += 1
self.x, self.y = self.Organizing_Function(self.iteration_number)
print("%d of %d" %
(self.iteration_number, self.variables["times"]))
self.Do_Perimeter()
self.property_x.append(self.iteration_number)
if first_property:
self.property_y.append(
self.property_square.amount_of_marcked_squares)
else:
self.dimension_obj = Dimension(
self.property_square.amount_of_marcked_squares,
self.property_square.passing)
self.property_y.append(self.dimension_obj.dimension)
if first_property:
description = {
"title":
"Progression of property per square\nCantor Set Fractal",
"label_x": "Row",
"label_y": "Marcked Squares",
"label_plot": "Cantor Set"
}
else:
description = {
"title":
"Progression of property dimension\nCantor Set Fractal",
"label_x": "Row",
"label_y": "Dimension Fractal",
"label_plot": "Cantor Set"
}
self.Assemble_Graph(self.property_x, self.property_y,
description["title"], description["label_x"],
description["label_y"], description["label_plot"],
make_graph)
def Progression_Property(self, first_property=False, make_graph=True):
self.Create_Vars()
while self.iteration_number < self.variables["times"]:
self.iteration_number += 1
self.Setting_Function()
# print("%d of %d" % (self.iteration_number, self.variables["times"]))
self.Do_Area()
self.property_x.append(self.iteration_number)
if first_property:
self.property_y.append(
self.property_area.amount_of_marcked_squares)
else:
self.dimension_obj = Dimension(
self.property_area.amount_of_marcked_squares,
self.property_area.passing)
self.property_y.append(self.dimension_obj.dimension)
if first_property:
description = {
"title":
"Progression of property area\nSierpinski Triangle Fractal",
"label_x": "Iteration Number",
"label_y": "Marcked Squares",
"label_plot": "Sierpinski Triangle"
}
else:
description = {
"title":
"Progression of property dimension\nSierpinski Triangle Fractal",
"label_x": "Iteration Number",
"label_y": "Dimension Fractal",
"label_plot": "Sierpinski Triangle"
}
self.Assemble_Graph(self.property_x, self.property_y,
description["title"], description["label_x"],
description["label_y"], description["label_plot"],
make_graph)
def Property_Dimension(self):
self.First_Property(paint_squares=False)
dimension_obj = Dimension(
self.property_square.amount_of_marcked_squares,
self.property_square.passing)
self.dimension = dimension_obj.dimension
def Property_Dimension(self):
self.First_Property()
dimension_obj = Dimension(self.property_area.amount_of_marcked_squares,
self.property_area.passing)
self.dimension = dimension_obj.dimension
def Property_Dimension(self):
self.First_Property()
self.x, self.y = self.Scale_Corrector()
self.passing = 1 / self.variables["value"]
dimension_obj = Dimension(self.property_square.amount_of_marcked_squares, self.passing)
self.dimension = dimension_obj.dimension
