Add algorithm for N-body simulation - retry

DIRECTORY.md

@@ -545,6 +545,7 @@
   * [Linear Congruential Generator](https://github.com/TheAlgorithms/Python/blob/master/other/linear_congruential_generator.py)
   * [Lru Cache](https://github.com/TheAlgorithms/Python/blob/master/other/lru_cache.py)
   * [Magicdiamondpattern](https://github.com/TheAlgorithms/Python/blob/master/other/magicdiamondpattern.py)
+  * [N Body Simulation](https://github.com/TheAlgorithms/Python/blob/master/other/n_body_simulation.py)
   * [Nested Brackets](https://github.com/TheAlgorithms/Python/blob/master/other/nested_brackets.py)
   * [Password Generator](https://github.com/TheAlgorithms/Python/blob/master/other/password_generator.py)
   * [Scoring Algorithm](https://github.com/TheAlgorithms/Python/blob/master/other/scoring_algorithm.py)

other/n_body_simulation.py

@@ -0,0 +1,262 @@
+"""
+In physics and astronomy, a gravitational N-body simulation is a simulation of a
+dynamical system of particles under the influence of gravity. The system
+consists of a number of bodies, each of which exerts a gravitational force on all
+other bodies. These forces are calculated using Newton's law of universal
+gravitation. The Euler method is used at each time-step to calculate the change in
+velocity and position brought about by these forces. Softening is used to prevent
+numerical divergences when a particle comes too close to another (and the force
+goes to infinity).
+(Description adapted from https://en.wikipedia.org/wiki/N-body_simulation )
+(See also http://www.shodor.org/refdesk/Resources/Algorithms/EulersMethod/ )
+"""
+
+
+from __future__ import annotations
+
+import random
+
+from matplotlib import animation  # type: ignore
+from matplotlib import pyplot as plt
+
+
+class Body:
+    def __init__(
+        self: Body,
+        position_x: float,
+        position_y: float,
+        velocity_x: float,
+        velocity_y: float,
+        mass: float = 1.0,
+        size: float = 1.0,
+        color: str = "blue",
+    ) -> None:
+        """
+        The parameters "size" & "color" are not relevant for the simulation itself,
+        they are only used for plotting.
+        """
+        self.position_x = position_x
+        self.position_y = position_y
+        self.velocity_x = velocity_x
+        self.velocity_y = velocity_y
+        self.mass = mass
+        self.size = size
+        self.color = color
+
+    def update_velocity(
+        self: Body, force_x: float, force_y: float, delta_time: float
+    ) -> None:
+        """
+        Euler algorithm for velocity
+
+        >>> body = Body(0.,0.,0.,0.)
+        >>> body.update_velocity(1.,0.,1.)
+        >>> body.velocity_x
+        1.0
+        """
+        self.velocity_x += force_x * delta_time
+        self.velocity_y += force_y * delta_time
+
+    def update_position(self: Body, delta_time: float) -> None:
+        """
+        Euler algorithm for position
+
+        >>> body = Body(0.,0.,1.,0.)
+        >>> body.update_position(1.)
+        >>> body.position_x
+        1.0
+        """
+        self.position_x += self.velocity_x * delta_time
+        self.position_y += self.velocity_y * delta_time
+
+
+class BodySystem:
+    """
+    This class is used to hold the bodies, the gravitation constant, the time
+    factor and the softening factor. The time factor is used to control the speed
+    of the simulation. The softening factor is used for softening, a numerical
+    trick for N-body simulations to prevent numerical divergences when two bodies
+    get too close to each other.
+    """
+
+    def __init__(
+        self: BodySystem,
+        bodies: list[Body],
+        gravitation_constant: float = 1.0,
+        time_factor: float = 1.0,
+        softening_factor: float = 0.0,
+    ) -> None:
+        self.bodies = bodies
+        self.gravitation_constant = gravitation_constant
+        self.time_factor = time_factor
+        self.softening_factor = softening_factor
+
+    def update_system(self: BodySystem, delta_time: float) -> None:
+        """
+        For each body, loop through all other bodies to calculate the total
+        force they exert on it. Use that force to update the body's velocity.
+
+        >>> body_system = BodySystem([Body(0,0,0,0), Body(10,0,0,0)])
+        >>> body_system.update_system(1)
+        >>> body_system.bodies[0].position_x
+        0.01
+        """
+        for body1 in self.bodies:
+            force_x = 0.0
+            force_y = 0.0
+            for body2 in self.bodies:
+                if body1 != body2:
+                    dif_x = body2.position_x - body1.position_x
+                    dif_y = body2.position_y - body1.position_y
+
+                    # Calculation of the distance using Pythagoras's theorem
+                    # Extra factor due to the softening technique
+                    distance = (dif_x ** 2 + dif_y ** 2 + self.softening_factor) ** (
+                        1 / 2
+                    )
+
+                    # Newton's law of universal gravitation.
+                    force_x += (
+                        self.gravitation_constant * body2.mass * dif_x / distance ** 3
+                    )
+                    force_y += (
+                        self.gravitation_constant * body2.mass * dif_y / distance ** 3
+                    )
+
+            # Update the body's velocity once all the force components have been added
+            body1.update_velocity(force_x, force_y, delta_time * self.time_factor)
+
+        # Update the positions only after all the velocities have been updated
+        for body in self.bodies:
+            body.update_position(delta_time * self.time_factor)
+
+
+def plot(
+    title: str,
+    body_system: BodySystem,
+    x_start: float = -1,
+    x_end: float = 1,
+    y_start: float = -1,
+    y_end: float = 1,
+) -> None:
+    """
+    Utility function to plot how the given body-system evolves over time.
+    No doctest provided since this function does not have a return value.
+    """
+
+    INTERVAL = 20  # Frame rate of the animation
+    DELTA_TIME = INTERVAL / 1000  # Time between time steps in seconds
+
+    fig = plt.figure()
+    fig.canvas.set_window_title(title)
+
+    # Set section to be plotted
+    ax = plt.axes(xlim=(x_start, x_end), ylim=(y_start, y_end))
+
+    # Each body is drawn as a patch by the plt-function
+    patches = []
+    for body in body_system.bodies:
+        patches.append(
+            plt.Circle((body.position_x, body.position_y), body.size, fc=body.color)
+        )
+
+    # Function called once at the start of the animation
+    def init() -> list[patches.Circle]:
+        axes = plt.gca()
+        axes.set_aspect("equal")
+
+        for patch in patches:
+            ax.add_patch(patch)
+        return patches
+
+    # Function called at each step of the animation
+    def update(frame: int) -> list[patches.Circle]:
+        # Update the positions of the bodies
+        body_system.update_system(DELTA_TIME)
+
+        # Update the positions of the patches
+        for patch, body in zip(patches, body_system.bodies):
+            patch.center = (body.position_x, body.position_y)
+        return patches
+
+    anim = animation.FuncAnimation(  # noqa: F841
+        fig, update, init_func=init, interval=INTERVAL, blit=True
+    )
+
+    plt.show()
+
+
+if __name__ == "__main__":
+    # Example 1: figure-8 solution to the 3-body-problem
+    # This example can be seen as a test of the implementation: given the right
+    # initial conditions, the bodies should move in a figure-8.
+    # (initial conditions taken from http://www.artcompsci.org/vol_1/v1_web/node56.html)
+    position_x = 0.9700436
+    position_y = -0.24308753
+    velocity_x = 0.466203685
+    velocity_y = 0.43236573
+
+    bodies1 = [
+        Body(position_x, position_y, velocity_x, velocity_y, size=0.2, color="red"),
+        Body(-position_x, -position_y, velocity_x, velocity_y, size=0.2, color="green"),
+        Body(0, 0, -2 * velocity_x, -2 * velocity_y, size=0.2, color="blue"),
+    ]
+    body_system1 = BodySystem(bodies1, time_factor=3)
+    plot("Figure-8 solution to the 3-body-problem", body_system1, -2, 2, -2, 2)
+
+    # Example 2: Moon's orbit around the earth
+    # This example can be seen as a test of the implementation: given the right
+    # initial conditions, the moon should orbit around the earth as it actually does.
+    # (mass, velocity and distance taken from https://en.wikipedia.org/wiki/Earth
+    # and https://en.wikipedia.org/wiki/Moon)
+    moon_mass = 7.3476e22
+    earth_mass = 5.972e24
+    velocity_dif = 1022
+    earth_moon_distance = 384399000
+    gravitation_constant = 6.674e-11
+
+    # Calculation of the respective velocities so that total impulse is zero,
+    # i.e. the two bodies together don't move
+    moon_velocity = earth_mass * velocity_dif / (earth_mass + moon_mass)
+    earth_velocity = moon_velocity - velocity_dif
+
+    moon = Body(-earth_moon_distance, 0, 0, moon_velocity, moon_mass, 10000000, "grey")
+    earth = Body(0, 0, 0, earth_velocity, earth_mass, 50000000, "blue")
+    body_system2 = BodySystem([earth, moon], gravitation_constant, time_factor=1000000)
+    plot(
+        "Moon's orbit around the earth",
+        body_system2,
+        -430000000,
+        430000000,
+        -430000000,
+        430000000,
+    )
+
+    # Example 3: Random system with many bodies
+    bodies = []
+    for i in range(10):
+        velocity_x = random.uniform(-0.5, 0.5)
+        velocity_y = random.uniform(-0.5, 0.5)
+
+        # Bodies are created pairwise with opposite velocities so that the
+        # total impulse remains zero
+        bodies.append(
+            Body(
+                random.uniform(-0.5, 0.5),
+                random.uniform(-0.5, 0.5),
+                velocity_x,
+                velocity_y,
+                size=0.05,
+            )
+        )
+        bodies.append(
+            Body(
+                random.uniform(-0.5, 0.5),
+                random.uniform(-0.5, 0.5),
+                -velocity_x,
+                -velocity_y,
+                size=0.05,
+            )
+        )
+    body_system3 = BodySystem(bodies, 0.01, 10, 0.1)
+    plot("Random system with many bodies", body_system3, -1.5, 1.5, -1.5, 1.5)