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Kill CONFIG in vector_field.py
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271e2f0865
commit
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1 changed files with 70 additions and 53 deletions
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@ -23,9 +23,9 @@ from manimlib.utils.space_ops import get_norm
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from typing import Callable, Iterable, Sequence, TypeVar
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from typing import Callable, Iterable, Sequence, TypeVar, Tuple
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import numpy.typing as npt
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from manimlib.constants import ManimColor, np_vector
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from manimlib.mobject.coordinate_systems import CoordinateSystem
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from manimlib.mobject.mobject import Mobject
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@ -37,7 +37,7 @@ def get_vectorized_rgb_gradient_function(
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min_value: T,
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max_value: T,
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color_map: str
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) -> Callable[[npt.ArrayLike], np.ndarray]:
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) -> Callable[[npt.ArrayLike], np_vector]:
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rgbs = np.array(get_colormap_list(color_map))
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def func(values):
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@ -59,14 +59,14 @@ def get_rgb_gradient_function(
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min_value: T,
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max_value: T,
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color_map: str
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) -> Callable[[T], np.ndarray]:
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) -> Callable[[T], np_vector]:
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vectorized_func = get_vectorized_rgb_gradient_function(min_value, max_value, color_map)
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return lambda value: vectorized_func([value])[0]
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def move_along_vector_field(
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mobject: Mobject,
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func: Callable[[np.ndarray], np.ndarray]
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func: Callable[[np_vector], np_vector]
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) -> Mobject:
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mobject.add_updater(
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lambda m, dt: m.shift(
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@ -78,7 +78,7 @@ def move_along_vector_field(
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def move_submobjects_along_vector_field(
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mobject: Mobject,
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func: Callable[[np.ndarray], np.ndarray]
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func: Callable[[np_vector], np_vector]
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) -> Mobject:
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def apply_nudge(mob, dt):
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for submob in mob:
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@ -109,7 +109,7 @@ def move_points_along_vector_field(
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def get_sample_points_from_coordinate_system(
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coordinate_system: CoordinateSystem,
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step_multiple: float
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) -> it.product[tuple[np.ndarray, ...]]:
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) -> it.product[tuple[np_vector, ...]]:
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ranges = []
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for range_args in coordinate_system.get_all_ranges():
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_min, _max, step = range_args
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@ -121,25 +121,29 @@ def get_sample_points_from_coordinate_system(
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# Mobjects
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class VectorField(VGroup):
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CONFIG = {
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"step_multiple": 0.5,
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"magnitude_range": (0, 2),
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"color_map": "3b1b_colormap",
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# Takes in actual norm, spits out displayed norm
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"length_func": lambda norm: 0.45 * sigmoid(norm),
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"opacity": 1.0,
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"vector_config": {},
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}
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def __init__(
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self,
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func: Callable[[float, float], Sequence[float]],
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coordinate_system: CoordinateSystem,
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step_multiple: float = 0.5,
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magnitude_range: Tuple[float, float] = (0, 2),
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color_map: str = "3b1b_colormap",
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# Takes in actual norm, spits out displayed norm
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length_func: Callable[[float], float] = lambda norm: 0.45 * sigmoid(norm),
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opacity: float = 1.0,
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vector_config: dict = dict(),
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**kwargs
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):
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super().__init__(**kwargs)
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self.func = func
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self.coordinate_system = coordinate_system
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self.step_multiple = step_multiple
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self.magnitude_range = magnitude_range
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self.color_map = color_map
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self.length_func = length_func
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self.opacity = opacity
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self.vector_config = vector_config
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self.value_to_rgb = get_rgb_gradient_function(
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*self.magnitude_range, self.color_map,
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)
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@ -177,39 +181,52 @@ class VectorField(VGroup):
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class StreamLines(VGroup):
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CONFIG = {
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"step_multiple": 0.5,
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"n_repeats": 1,
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"noise_factor": None,
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# Config for drawing lines
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"dt": 0.05,
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"arc_len": 3,
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"max_time_steps": 200,
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"n_samples_per_line": 10,
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"cutoff_norm": 15,
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# Style info
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"stroke_width": 1,
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"stroke_color": WHITE,
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"stroke_opacity": 1,
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"color_by_magnitude": True,
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"magnitude_range": (0, 2.0),
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"taper_stroke_width": False,
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"color_map": "3b1b_colormap",
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}
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def __init__(
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self,
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func: Callable[[float, float], Sequence[float]],
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coordinate_system: CoordinateSystem,
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step_multiple: float = 0.5,
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n_repeats: int = 1,
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noise_factor: float | None = None,
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# Config for drawing lines
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dt: float = 0.05,
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arc_len: float = 3,
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max_time_steps: int = 200,
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n_samples_per_line: int = 10,
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cutoff_norm: float = 15,
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# Style info
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stroke_width: float = 1.0,
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stroke_color: ManimColor = WHITE,
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stroke_opacity: float = 1,
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color_by_magnitude: bool = True,
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magnitude_range: Tuple[float, float] = (0, 2.0),
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taper_stroke_width: bool = False,
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color_map: str = "3b1b_colormap",
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**kwargs
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):
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super().__init__(**kwargs)
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self.func = func
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self.coordinate_system = coordinate_system
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self.step_multiple = step_multiple
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self.n_repeats = n_repeats
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self.noise_factor = noise_factor
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self.dt = dt
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self.arc_len = arc_len
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self.max_time_steps = max_time_steps
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self.n_samples_per_line = n_samples_per_line
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self.cutoff_norm = cutoff_norm
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self.stroke_width = stroke_width
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self.stroke_color = stroke_color
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self.stroke_opacity = stroke_opacity
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self.color_by_magnitude = color_by_magnitude
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self.magnitude_range = magnitude_range
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self.taper_stroke_width = taper_stroke_width
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self.color_map = color_map
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self.draw_lines()
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self.init_style()
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def point_func(self, point: np.ndarray) -> np.ndarray:
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def point_func(self, point: np_vector) -> np_vector:
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in_coords = self.coordinate_system.p2c(point)
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out_coords = self.func(*in_coords)
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return self.coordinate_system.c2p(*out_coords)
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@ -239,7 +256,7 @@ class StreamLines(VGroup):
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lines.append(line)
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self.set_submobjects(lines)
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def get_start_points(self) -> np.ndarray:
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def get_start_points(self) -> np_vector:
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cs = self.coordinate_system
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sample_coords = get_sample_points_from_coordinate_system(
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cs, self.step_multiple,
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@ -282,27 +299,27 @@ class StreamLines(VGroup):
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class AnimatedStreamLines(VGroup):
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CONFIG = {
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"lag_range": 4,
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"line_anim_class": VShowPassingFlash,
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"line_anim_config": {
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# "run_time": 4,
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"rate_func": linear,
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"time_width": 0.5,
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},
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}
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def __init__(self, stream_lines: StreamLines, **kwargs):
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def __init__(
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self,
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stream_lines: StreamLines,
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lag_range: float = 4,
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line_anim_config: dict = dict(
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rate_func=linear,
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time_width=1.0,
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),
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**kwargs
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):
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super().__init__(**kwargs)
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self.stream_lines = stream_lines
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for line in stream_lines:
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line.anim = self.line_anim_class(
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line.anim = VShowPassingFlash(
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line,
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run_time=line.virtual_time,
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**self.line_anim_config,
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**line_anim_config,
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)
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line.anim.begin()
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line.time = -self.lag_range * np.random.random()
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line.time = -lag_range * np.random.random()
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self.add(line.anim.mobject)
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self.add_updater(lambda m, dt: m.update(dt))
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