hugoledoux

import os
import sys
import json
import jsonschema
import jsonref


root_schema = os.path.abspath('../schemas/cityjson.schema.json')
print (root_schema)
fins = open(root_schema)

hugoledoux

MultiPolygon as defined by SFS

from OGC-SFS section 6.1.13.1:

The geometric interiors of any two Surfaces in a MultiSurface may not intersect in the full coordinate system. The boundaries of any two coplanar elements in a MultiSurface may intersect, at most, at a finite number of Points. If they were to meet along a curve, they could be merged into a single surface. MultiSurface is an instantiable class in this Standard, and may be used to represent heterogeneous surfaces collections of polygons and polyhedral surfaces. It defines a set of methods for its subclasses. The subclass of MultiSurface is MultiPolygon corresponding to a collection of Polygons only. Other collections shall use MultiSurface.

OGC-SFS doesn't have a composite type direclty, as ISO and GML have. Although the PolyhedralSurface can be seen as one such case.

hugoledoux

fn main() {
    let test = vec!["one", "two", "three"];
    let index = test.iter().position(|&r| r.to_string() == "two").unwrap();
    println!("{}", index);
}

hugoledoux

fn main() {
    let test = vec![1, 2, 3];
    let index = test.iter().position(|&r| r.to_string() == 2).unwrap();
    println!("{}", index);
}

hugoledoux

from scipy.spatial import Delaunay
import sys
import csv


points = []
with open('/Users/hugo/Dropbox/data/terrains/l2.txt', newline='') as csvfile:
    r = csv.reader(csvfile, delimiter=' ', quotechar='|')

hugoledoux

import numpy as np
from matplotlib import pyplot as plt
from matplotlib.patches import Polygon



def main():
    a = np.arange(8).reshape(4, 2)
    a[0][0] = 0.0
    a[0][1] = 0.0

hugoledoux

[package]
name = "testvalico"
version = "0.1.0"
authors = ["Hugo Ledoux <[email protected]>"]
edition = "2018"

[dependencies]
valico = "3.0"
serde = "1.0"
serde_json = "1.0"

hugoledoux

from random import random

def move_obj(infile, outfile, translate=(0,0,0), delimiter=' ', standard_building_height=None):
	tx,ty,tz = translate

	with open(outfile,'w') as fo:
		with open(infile,'r') as f:
			for i, line in enumerate(f):
				if line.startswith('v'):
					columns = line.split(delimiter)

hugoledoux

NOTE: There are usually many options to set up a development environment on each operating system. What proposed here is not the only option, but I try to minimize your effort. Besides, you may skip some of the steps if they have been properly set up already. Or if you know what you're doing, you're allowed to use any C++ you want. As long as you know how to deal with a CMake project, it's good.

Here's a small test project with one C++ unit (hello.cpp) and a CMake file (the project file to tell the compiler how to compile the project).

Windows

Install Microsoft Visual Studio Community 2019, and not Visual Studio Code.

hugoledoux

[package]
name = "fixcjpdok"
version = "0.1.0"
authors = ["Hugo Ledoux <[email protected]>"]
edition = "2018"

# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

[dependencies]