3b1b-manim/manimlib/mobject/number_line.py

231 lines
7.4 KiB
Python

from __future__ import annotations
import numpy as np
from manimlib.constants import DOWN, LEFT, RIGHT, UP
from manimlib.constants import GREY_B
from manimlib.constants import MED_SMALL_BUFF
from manimlib.mobject.geometry import Line
from manimlib.mobject.numbers import DecimalNumber
from manimlib.mobject.types.vectorized_mobject import VGroup
from manimlib.utils.bezier import interpolate
from manimlib.utils.bezier import outer_interpolate
from manimlib.utils.dict_ops import merge_dicts_recursively
from manimlib.utils.simple_functions import fdiv
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from typing import Iterable, Optional
from manimlib.typing import ManimColor, Vect3, Vect3Array, VectN, RangeSpecifier
class NumberLine(Line):
def __init__(
self,
x_range: RangeSpecifier = (-8, 8, 1),
color: ManimColor = GREY_B,
stroke_width: float = 2.0,
# How big is one one unit of this number line in terms of absolute spacial distance
unit_size: float = 1.0,
width: Optional[float] = None,
include_ticks: bool = True,
tick_size: float = 0.1,
longer_tick_multiple: float = 1.5,
tick_offset: float = 0.0,
# Change name
big_tick_spacing: Optional[float] = None,
big_tick_numbers: list[float] = [],
include_numbers: bool = False,
line_to_number_direction: Vect3 = DOWN,
line_to_number_buff: float = MED_SMALL_BUFF,
include_tip: bool = False,
tip_config: dict = dict(
width=0.25,
length=0.25,
),
decimal_number_config: dict = dict(
num_decimal_places=0,
font_size=36,
),
numbers_to_exclude: list | None = None,
**kwargs,
):
self.x_range = x_range
self.tick_size = tick_size
self.longer_tick_multiple = longer_tick_multiple
self.tick_offset = tick_offset
if big_tick_spacing is not None:
self.big_tick_numbers = np.arange(
x_range[0],
x_range[1] + big_tick_spacing,
big_tick_spacing,
)
else:
self.big_tick_numbers = list(big_tick_numbers)
self.line_to_number_direction = line_to_number_direction
self.line_to_number_buff = line_to_number_buff
self.include_tip = include_tip
self.tip_config = dict(tip_config)
self.decimal_number_config = dict(decimal_number_config)
self.numbers_to_exclude = numbers_to_exclude
self.x_min, self.x_max = x_range[:2]
self.x_step = 1 if len(x_range) == 2 else x_range[2]
super().__init__(
self.x_min * RIGHT, self.x_max * RIGHT,
color=color,
stroke_width=stroke_width,
**kwargs
)
if width:
self.set_width(width)
else:
self.scale(unit_size)
self.center()
if include_tip:
self.add_tip()
self.tip.set_stroke(
self.stroke_color,
self.stroke_width,
)
if include_ticks:
self.add_ticks()
if include_numbers:
self.add_numbers(excluding=self.numbers_to_exclude)
def get_tick_range(self) -> np.ndarray:
if self.include_tip:
x_max = self.x_max
else:
x_max = self.x_max + self.x_step
result = np.arange(self.x_min, x_max, self.x_step)
return result[result <= self.x_max]
def add_ticks(self) -> None:
ticks = VGroup()
for x in self.get_tick_range():
size = self.tick_size
if np.isclose(self.big_tick_numbers, x).any():
size *= self.longer_tick_multiple
ticks.add(self.get_tick(x, size))
self.add(ticks)
self.ticks = ticks
def get_tick(self, x: float, size: float | None = None) -> Line:
if size is None:
size = self.tick_size
result = Line(size * DOWN, size * UP)
result.rotate(self.get_angle())
result.move_to(self.number_to_point(x))
result.match_style(self)
return result
def get_tick_marks(self) -> VGroup:
return self.ticks
def number_to_point(self, number: float | VectN) -> Vect3 | Vect3Array:
start = self.get_points()[0]
end = self.get_points()[-1]
alpha = (number - self.x_min) / (self.x_max - self.x_min)
return outer_interpolate(start, end, alpha)
def point_to_number(self, point: Vect3 | Vect3Array) -> float | VectN:
start = self.get_points()[0]
end = self.get_points()[-1]
vect = end - start
proportion = fdiv(
np.dot(point - start, vect),
np.dot(end - start, vect),
)
return interpolate(self.x_min, self.x_max, proportion)
def n2p(self, number: float | VectN) -> Vect3 | Vect3Array:
"""Abbreviation for number_to_point"""
return self.number_to_point(number)
def p2n(self, point: Vect3 | Vect3Array) -> float | VectN:
"""Abbreviation for point_to_number"""
return self.point_to_number(point)
def get_unit_size(self) -> float:
return self.get_length() / (self.x_max - self.x_min)
def get_number_mobject(
self,
x: float,
direction: Vect3 | None = None,
buff: float | None = None,
unit: float = 1.0,
unit_tex: str = "",
**number_config
) -> DecimalNumber:
number_config = merge_dicts_recursively(
self.decimal_number_config, number_config,
)
if direction is None:
direction = self.line_to_number_direction
if buff is None:
buff = self.line_to_number_buff
if unit_tex:
number_config["unit"] = unit_tex
num_mob = DecimalNumber(x / unit, **number_config)
num_mob.next_to(
self.number_to_point(x),
direction=direction,
buff=buff
)
if x < 0 and direction[0] == 0:
# Align without the minus sign
num_mob.shift(num_mob[0].get_width() * LEFT / 2)
if x == unit and unit_tex:
center = num_mob.get_center()
num_mob.remove(num_mob[0])
num_mob.move_to(center)
return num_mob
def add_numbers(
self,
x_values: Iterable[float] | None = None,
excluding: Iterable[float] | None = None,
font_size: int = 24,
**kwargs
) -> VGroup:
if x_values is None:
x_values = self.get_tick_range()
kwargs["font_size"] = font_size
if excluding is None:
excluding = self.numbers_to_exclude
numbers = VGroup()
for x in x_values:
if excluding is not None and x in excluding:
continue
numbers.add(self.get_number_mobject(x, **kwargs))
self.add(numbers)
self.numbers = numbers
return numbers
class UnitInterval(NumberLine):
def __init__(
self,
x_range: RangeSpecifier = (0, 1, 0.1),
unit_size: float = 10,
big_tick_numbers: list[float] = [0, 1],
decimal_number_config: dict = dict(
num_decimal_places=1,
)
):
super().__init__(
x_range=x_range,
unit_size=unit_size,
big_tick_numbers=big_tick_numbers,
decimal_number_config=decimal_number_config,
)