Emil
89c53d7058
Expose the runtime block/item registry through compact material search and single-material descriptions. Preserve private block-entity data through checked edits and durable undo without sending payloads to model context. Include the completed terrain tools, isolated world/map plugin, station lift, ACP streaming and guidance fixes, local camera auto-connect, construction scripts, and their public documentation, references and verification records. Active station decoration and private runtime data remain outside this commit. Validation: 145 Maven tests, 47 Bridge tests, successful camera Gradle build, and isolated Paper verification of all 1,196 block defaults plus 5,392 independent property cases for placement, same-material edits and restoration.
64 lines
3.3 KiB
Python
64 lines
3.3 KiB
Python
"""Render comparable scientific previews from sampled height fields; never edits screenshots."""
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from pathlib import Path
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import json
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import numpy as np
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import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt
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from matplotlib.colors import LightSource
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ROOT = Path(__file__).resolve().parents[2]
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DATA = ROOT / '.runtime/terrain-study'
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OUT = ROOT / 'docs/references'
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WATER = 48
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fields = [np.fromfile(DATA / name, dtype='>f4').reshape(768, 768).astype(float)
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for name in ['before.f32', 'natural.f32']]
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names = ['V1 — rectangular platforms', 'Study — ridges, soft hills, winding water']
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def colors(ground):
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dz, dx = np.gradient(ground)
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slope = np.hypot(dx, dz)
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rock = np.clip((slope - .55) / 1.5, 0, 1)[..., None]
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green = np.array([.35, .46, .25])
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stone = np.array([.54, .54, .49])
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rgb = green * (1-rock) + stone * rock
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# Identical materials and lighting for both fields: isolate the shape comparison.
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shaded = LightSource(315, 42).shade_rgb(rgb, ground, vert_exag=1, blend_mode='soft')
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depth = np.clip((WATER-ground)/25, 0, 1)[..., None]
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water = np.array([.19, .46, .50])*(1-depth) + np.array([.12, .30, .37])*depth
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return np.where((ground < WATER)[..., None], water, shaded)
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fig, axes = plt.subplots(1, 2, figsize=(16, 8), facecolor='#f4f3ee')
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for ax, ground, name in zip(axes, fields, names):
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ax.imshow(colors(ground), extent=(-384,384,384,-384))
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ax.set_title(name, fontsize=16, loc='left', pad=16)
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ax.set_xlabel('X / blocks'); ax.set_ylabel('Z / blocks — north up')
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fig.suptitle('Shacraft / terrain composition study · 768 × 768 blocks', fontsize=20, x=.06, ha='left', y=.99)
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fig.text(.06,.025,'Computed height fields. Same scale, water level and shading. Right: offline prototype, not yet in Minecraft.',fontsize=11)
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fig.subplots_adjust(left=.06,right=.98,top=.90,bottom=.10,wspace=.18)
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fig.savefig(OUT/'shacraft-terrain-study-plan.png',dpi=130)
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plt.close(fig)
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fig=plt.figure(figsize=(16,8),facecolor='#f4f3ee')
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for i,(ground,name) in enumerate(zip(fields,names)):
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ax=fig.add_subplot(1,2,i+1,projection='3d',facecolor='#f4f3ee')
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s=4; x=np.arange(-384,384,s); z=np.arange(-384,384,s); xx,zz=np.meshgrid(x,z)
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ax.plot_surface(xx,zz,np.maximum(ground[::s,::s],WATER),facecolors=colors(ground)[::s,::s],
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rstride=1,cstride=1,linewidth=0,antialiased=False,shade=False)
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ax.set(xlim=(-384,384),ylim=(-384,384),zlim=(25,220))
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ax.set_box_aspect((768,768,195));ax.view_init(elev=37,azim=-58);ax.set_axis_off()
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ax.set_title(name,loc='left',fontsize=16,pad=0)
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fig.suptitle('Shacraft / compare silhouettes before rebuilding',fontsize=20,x=.05,ha='left',y=.95)
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fig.text(.05,.07,'Geometric preview at true vertical scale. No rectangular plateaus in the new study. No erosion simulation.',fontsize=11)
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fig.subplots_adjust(left=.01,right=.99,top=.86,bottom=.10,wspace=-.06)
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fig.savefig(OUT/'shacraft-terrain-study-perspective.png',dpi=130)
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plt.close(fig)
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stats=[]
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for ground,name in zip(fields,names):
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dz,dx=np.gradient(ground);s=np.hypot(dx,dz)
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stats.append({'name':name,'min_ground_y':float(ground.min()),'max_ground_y':float(ground.max()),
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'water_columns':int((ground<WATER).sum()),'slope_p95':float(np.percentile(s,95))})
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(OUT/'shacraft-terrain-study.json').write_text(json.dumps({'world_applied':False,'water_level':WATER,'fields':stats},indent=2)+'\n')
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print(json.dumps(stats))
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