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True roads very quick

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This commit is contained in:
Xeon0X
2024-06-24 21:54:10 +02:00
parent cf889d3e10
commit 8a3909c12f
21 changed files with 146 additions and 72 deletions
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117
networks/roads_2/Road.py
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@@ -11,6 +11,7 @@ from utils.Enums import LINE_THICKNESS_MODE
from gdpc import Block, Editor, geometry
from scipy.ndimage import gaussian_filter1d
import numpy as np
import random
class Road:
@@ -61,36 +62,62 @@ class Road:
if len(self.polyline.segments[i].segment()) > 2:
last_valid_index = i
self.polyline.segments[i].segment_thick(
self.width, LINE_THICKNESS_MODE.MIDDLE)
self.width-1, LINE_THICKNESS_MODE.MIDDLE)
for k in range(len(self.polyline.segments[i].points_thick_by_line)):
kk = k % 7
match kk:
case 0:
blob = 'pink_concrete'
case 1:
blob = 'red_concrete'
case 2:
blob = 'orange_concrete'
case 3:
blob = 'yellow_concrete'
case 4:
blob = 'green_concrete'
case 5:
blob = 'blue_concrete'
case 6:
blob = 'purple_concrete'
for m in range(len(self.polyline.segments[i].points_thick_by_line[k])):
kk = k % self.width
if kk in [round((self.width-1)/2)]:
if m % 4 == 0:
block = random.choices(
["stone", "andesite"],
weights=[3, 1],
k=1,
)[0]
else:
block = random.choices(
["yellow_concrete", "yellow_concrete_powder"],
weights=[3, 1],
k=1,
)[0]
elif kk in [self.width-2, 0]:
block = random.choices(
["white_concrete", "white_concrete_powder"],
weights=[3, 1],
k=1,
)[0]
else:
block = random.choices(
["stone", "andesite"],
weights=[3, 1],
k=1,
)[0]
nearest = self.polyline.segments[i].points_thick_by_line[k][m].nearest(
Point3D.to_2d(self.polyline_total_line_output, removed_axis='y'), True)
self.output_block.append(
(Point3D.insert_3d([self.polyline.segments[i].points_thick_by_line[k][m]], 'y', [self.polyline_total_line_output[nearest[0]].y])[0].coordinates, Block(blob)))
(Point3D.insert_3d([self.polyline.segments[i].points_thick_by_line[k][m]], 'y', [self.polyline_total_line_output[nearest[0]].y])[0].coordinates, Block(block)))
self.output_block.append(
(Point3D.insert_3d([self.polyline.segments[i].points_thick_by_line[k][m]], 'y', [self.polyline_total_line_output[nearest[0]].y-1])[0].coordinates, Block(random.choices(
["stone", "andesite"],
weights=[3, 1],
k=1,
)[0])))
for m in range(len(self.polyline.segments[i].gaps[k])):
block = random.choices(
["stone", "andesite"],
weights=[3, 1],
k=1,
)[0]
nearest = self.polyline.segments[i].gaps[k][m].nearest(
Point3D.to_2d(self.polyline_total_line_output, removed_axis='y'), True)
self.output_block.append(
(Point3D.insert_3d([self.polyline.segments[i].gaps[k][m]], 'y', [self.polyline_total_line_output[nearest[0]].y])[0].coordinates, Block("black_concrete")))
(Point3D.insert_3d([self.polyline.segments[i].gaps[k][m]], 'y', [self.polyline_total_line_output[nearest[0]].y])[0].coordinates, Block(block)))
self.output_block.append(
(Point3D.insert_3d([self.polyline.segments[i].gaps[k][m]], 'y', [self.polyline_total_line_output[nearest[0]].y-1])[0].coordinates, Block(random.choices(
["stone", "andesite"],
weights=[3, 1],
k=1,
)[0])))
# Circle
if i != len(self.polyline.segments)-1:
@@ -147,25 +174,41 @@ class Road:
Point3D.insert_3d([gaps[j][k]], 'y', [
circle_list[j][gaps[j][k].nearest(Point3D.to_2d(circle_list[j], 'y'), True)[0]].y])[0])
kk = j % 7
match kk:
case 0:
blob = 'pink_concrete'
case 1:
blob = 'red_concrete'
case 2:
blob = 'orange_concrete'
case 3:
blob = 'yellow_concrete'
case 4:
blob = 'green_concrete'
case 5:
blob = 'blue_concrete'
case 6:
blob = 'purple_concrete'
for k in range(len(circle_list[j])):
kk = j % self.width
if kk in [round(self.width/2)]:
if k % 4 == 0:
block = random.choices(
["stone", "andesite"],
weights=[3, 1],
k=1,
)[0]
else:
block = random.choices(
["yellow_concrete", "yellow_concrete_powder"],
weights=[3, 1],
k=1,
)[0]
elif kk in [self.width-1, 0]:
block = random.choices(
["white_concrete", "white_concrete_powder"],
weights=[3, 1],
k=1,
)[0]
else:
block = random.choices(
["stone", "andesite"],
weights=[3, 1],
k=1,
)[0]
self.output_block.append(
(circle_list[j][k].coordinates, Block(blob)))
(circle_list[j][k].coordinates, Block(block)))
self.output_block.append(
((circle_list[j][k].coordinates[0], circle_list[j][k].coordinates[1]-1, circle_list[j][k].coordinates[2]), Block(random.choices(
["stone", "andesite"],
weights=[3, 1],
k=1,
)[0])))
def _projection_gaussian(self):
nearest_points_to_reference = []