mirror of
https://github.com/peter-tanner/starcore-explorer-bad.git
synced 2024-12-03 02:20:28 +08:00
129 lines
4.0 KiB
Plaintext
129 lines
4.0 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "39a80aae-a990-4ed8-b880-3db2e7f70f16",
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"if \"pyodide\" in sys.modules:\n",
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" import piplite\n",
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" await piplite.install('pyb2d-jupyterlite-backend>=0.4.2')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9d9f8d68-0f3b-49c1-9512-e3e8344e7342",
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"metadata": {},
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"outputs": [],
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"source": [
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"from b2d.testbed import TestbedBase\n",
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"import random\n",
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"import numpy\n",
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"import b2d\n",
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"\n",
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"\n",
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"class GaussMachine(TestbedBase):\n",
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"\n",
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" name = \"Gauss Machine\"\n",
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"\n",
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" def __init__(self, settings=None):\n",
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" super(GaussMachine, self).__init__(settings=settings)\n",
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"\n",
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" self.box_shape = 30, 20\n",
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" box_shape = self.box_shape\n",
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"\n",
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" # outer box\n",
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" verts = numpy.array(\n",
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" [(0, box_shape[1]), (0, 0), (box_shape[0], 0), (box_shape[0], box_shape[1])]\n",
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" )\n",
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" shape = b2d.chain_shape(vertices=numpy.flip(verts, axis=0))\n",
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" box = self.world.create_static_body(position=(0, 0), shape=shape)\n",
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"\n",
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" # \"bins\"\n",
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" bin_height = box_shape[1] / 3\n",
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" bin_width = 1\n",
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" for x in range(0, box_shape[0], bin_width):\n",
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" box = self.world.create_static_body(\n",
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" position=(0, 0), shape=b2d.two_sided_edge_shape((x, 0), (x, bin_height))\n",
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" )\n",
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"\n",
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" # reflectors\n",
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" ref_start_y = int(bin_height + box_shape[1] / 10.0)\n",
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" ref_stop_y = int(box_shape[1] * 0.9)\n",
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" for x in range(0, box_shape[0] + 1):\n",
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"\n",
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" for y in range(ref_start_y, ref_stop_y):\n",
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" s = [0.5, 0][y % 2 == 0]\n",
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" shape = b2d.circle_shape(radius=0.3)\n",
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" box = self.world.create_static_body(position=(x + s, y), shape=shape)\n",
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"\n",
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" # particle system\n",
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" pdef = b2d.particle_system_def(\n",
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" viscous_strength=0.9,\n",
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" spring_strength=0.0,\n",
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" damping_strength=100.5,\n",
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" pressure_strength=1.0,\n",
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" color_mixing_strength=0.05,\n",
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" density=2,\n",
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" )\n",
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"\n",
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" psystem = self.world.create_particle_system(pdef)\n",
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" psystem.radius = 0.1\n",
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" psystem.damping = 0.5\n",
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"\n",
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" # linear emitter\n",
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" emitter_pos = (self.box_shape[0] / 2, self.box_shape[1] + 10)\n",
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" emitter_def = b2d.RandomizedLinearEmitterDef()\n",
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" emitter_def.emite_rate = 400\n",
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" emitter_def.lifetime = 25\n",
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" emitter_def.size = (10, 1)\n",
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" emitter_def.transform = b2d.Transform(emitter_pos, b2d.Rot(0))\n",
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"\n",
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" self.emitter = b2d.RandomizedLinearEmitter(psystem, emitter_def)\n",
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"\n",
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" def pre_step(self, dt):\n",
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" self.emitter.step(dt)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "51e5df1b-f5e6-486a-a6c0-173597198e5d",
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"metadata": {},
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"outputs": [],
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"source": [
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"from pyb2d_jupyterlite_backend.async_jupyter_gui import JupyterAsyncGui\n",
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"s = JupyterAsyncGui.Settings()\n",
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"s.resolution = [350,400]\n",
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"s.scale = 11\n",
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"tb = b2d.testbed.run(GaussMachine, backend=JupyterAsyncGui, gui_settings=s);"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.4"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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