class EnableDisableButton(ControlMobject):
CONFIG = {
"value_type": np.dtype(bool),
"rect_kwargs": {
"width": 0.5,
"height": 0.5,
"fill_opacity": 1.0
},
"enable_color": GREEN,
"disable_color": RED
}
def __init__(self, value=True, **kwargs):
digest_config(self, kwargs)
self.box = Rectangle(**self.rect_kwargs)
super().__init__(value, self.box, **kwargs)
self.add_mouse_press_listner(self.on_mouse_press)
def assert_value(self, value):
assert (isinstance(value, bool))
def set_value_anim(self, value):
if value:
self.box.set_fill(self.enable_color)
else:
self.box.set_fill(self.disable_color)
def toggle_value(self):
super().set_value(not self.get_value())
def on_mouse_press(self, mob, event_data):
mob.toggle_value()
return False
def add_white_keys(self):
key = Rectangle(*self.white_key_dims)
key.set_fill(self.white_key_color, 1)
key.set_stroke(width=0)
self.white_keys = key.get_grid(1,
self.n_white_keys,
buff=self.key_buff)
self.add(*self.white_keys)
def get_riemann_rectangles(
self,
graph,
x_min=None,
x_max=None,
dx=0.1,
input_sample_type="left",
stroke_width=1,
stroke_color=BLACK,
fill_opacity=1,
start_color=None,
end_color=None,
show_signed_area=True,
width_scale_factor=1.001
):
x_min = x_min if x_min is not None else self.x_min
x_max = x_max if x_max is not None else self.x_max
if start_color is None:
start_color = self.default_riemann_start_color
if end_color is None:
end_color = self.default_riemann_end_color
rectangles = VGroup()
x_range = np.arange(x_min, x_max, dx)
colors = color_gradient([start_color, end_color], len(x_range))
for x, color in zip(x_range, colors):
if input_sample_type == "left":
sample_input = x
elif input_sample_type == "right":
sample_input = x + dx
elif input_sample_type == "center":
sample_input = x + 0.5 * dx
else:
raise Exception("Invalid input sample type")
graph_point = self.input_to_graph_point(sample_input, graph)
points = VGroup(*list(map(VectorizedPoint, [
self.coords_to_point(x, 0),
self.coords_to_point(x + width_scale_factor * dx, 0),
graph_point
])))
rect = Rectangle()
rect.replace(points, stretch=True)
if graph_point[1] < self.graph_origin[1] and show_signed_area:
fill_color = invert_color(color)
else:
fill_color = color
rect.set_fill(fill_color, opacity=fill_opacity)
rect.set_stroke(stroke_color, width=stroke_width)
rectangles.add(rect)
return rectangles
def get_riemann_rectangles(
self,
graph,
x_min=None,
x_max=None,
dx=0.1,
input_sample_type="left",
stroke_width=1,
stroke_color=BLACK,
fill_opacity=1,
start_color=None,
end_color=None,
show_signed_area=True,
width_scale_factor=1.001
):
x_min = x_min if x_min is not None else self.x_min
x_max = x_max if x_max is not None else self.x_max
if start_color is None:
start_color = self.default_riemann_start_color
if end_color is None:
end_color = self.default_riemann_end_color
rectangles = VGroup()
x_range = np.arange(x_min, x_max, dx)
colors = color_gradient([start_color, end_color], len(x_range))
for x, color in zip(x_range, colors):
if input_sample_type == "left":
sample_input = x
elif input_sample_type == "right":
sample_input = x + dx
elif input_sample_type == "center":
sample_input = x + 0.5 * dx
else:
raise Exception("Invalid input sample type")
graph_point = self.input_to_graph_point(sample_input, graph)
points = VGroup(*list(map(VectorizedPoint, [
self.coords_to_point(x, 0),
self.coords_to_point(x + width_scale_factor * dx, 0),
graph_point
])))
rect = Rectangle()
rect.replace(points, stretch=True)
if graph_point[1] < self.graph_origin[1] and show_signed_area:
fill_color = invert_color(color)
else:
fill_color = color
rect.set_fill(fill_color, opacity=fill_opacity)
rect.set_stroke(stroke_color, width=stroke_width)
rectangles.add(rect)
return rectangles
def add_black_keys(self):
key = Rectangle(*self.black_key_dims)
key.set_fill(self.black_key_color, 1)
key.set_stroke(width=0)
self.black_keys = VGroup()
for i in range(len(self.white_keys) - 1):
if i % self.white_keys_per_octave not in self.black_pattern:
continue
wk1 = self.white_keys[i]
wk2 = self.white_keys[i + 1]
bk = key.copy()
bk.move_to(midpoint(wk1.get_top(), wk2.get_top()), UP)
big_bk = bk.copy()
big_bk.stretch((bk.get_width() + self.key_buff) / bk.get_width(),
0)
big_bk.stretch((bk.get_height() + self.key_buff) / bk.get_height(),
1)
big_bk.move_to(bk, UP)
for wk in wk1, wk2:
wk.become(Difference(wk, big_bk).match_style(wk))
self.black_keys.add(bk)
self.add(*self.black_keys)
def get_riemann_rectangles(self,
graph,
x_min=None,
x_max=None,
dx=0.1,
input_sample_type="left",
stroke_width=1,
stroke_color=BLACK,
fill_opacity=1,
start_color=None,
end_color=None,
show_signed_area=True,
width_scale_factor=1.001):
"""
This method returns the VGroup() of the Riemann Rectangles for
a particular curve.
Parameters
----------
graph (ParametricFunction)
The graph whose area needs to be approximated
by the Riemann Rectangles.
x_min Union[int,float]
The lower bound from which to start adding rectangles
x_max Union[int,float]
The upper bound where the rectangles stop.
dx Union[int,float]
The smallest change in x-values that is
considered significant.
input_sample_type str
Can be any of "left", "right" or "center
stroke_width : Union[int, float]
The stroke_width of the border of the rectangles.
stroke_color : str
The string of hex colour of the rectangle's border.
fill_opacity Union[int, float]
The opacity of the rectangles.
start_color : str,
The hex starting colour for the rectangles,
this will, if end_color is a different colour,
make a nice gradient.
end_color : str,
The hex ending colour for the rectangles,
this will, if start_color is a different colour,
make a nice gradient.
show_signed_area : bool (True)
Whether or not to indicate -ve area if curve dips below
x-axis.
width_scale_factor : Union[int, float]
How much the width of the rectangles are scaled by when transforming.
Returns
-------
VGroup
A VGroup containing the Riemann Rectangles.
"""
x_min = x_min if x_min is not None else self.x_min
x_max = x_max if x_max is not None else self.x_max
if start_color is None:
start_color = self.default_riemann_start_color
if end_color is None:
end_color = self.default_riemann_end_color
rectangles = VGroup()
x_range = np.arange(x_min, x_max, dx)
colors = color_gradient([start_color, end_color], len(x_range))
for x, color in zip(x_range, colors):
if input_sample_type == "left":
sample_input = x
elif input_sample_type == "right":
sample_input = x + dx
elif input_sample_type == "center":
sample_input = x + 0.5 * dx
else:
raise Exception("Invalid input sample type")
graph_point = self.input_to_graph_point(sample_input, graph)
points = VGroup(*list(
map(VectorizedPoint, [
self.coords_to_point(x, 0),
self.coords_to_point(x + width_scale_factor *
dx, 0), graph_point
])))
rect = Rectangle()
rect.replace(points, stretch=True)
if graph_point[1] < self.graph_origin[1] and show_signed_area:
fill_color = invert_color(color)
else:
fill_color = color
rect.set_fill(fill_color, opacity=fill_opacity)
rect.set_stroke(stroke_color, width=stroke_width)
rectangles.add(rect)
return rectangles
