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from PIL import Image

# Load created images; for example 4
amsterdam = Image.open('Amsterdam.png')
hague = Image.open('The_Hague.png')
rotterdam = Image.open('Rotterdam.png')
utrecht = Image.open('Utrecht.png')

# Retrieve width and height original images
width = amsterdam.size[0]

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import geopandas as gpd
import matplotlib.pyplot as plt

# Import all roads NL
map_df = gpd.read_file('roads.shp')
# Show data format
map_df.head()

# Set image properties
fig, ax = plt.subplots(1, figsize=(10,14))

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def generate(c1,c2,bitlen):
    a = c1 & ~(1<<bitlen)
    b = c2 & ~(1<<bitlen)
    c = c1 >> 1
    d = c2 >> 1
    return (a&~b&~c&~d) | (~a&b&~c&~d) | (~a&~b&c&~d) | (~a&~b&~c&d)

from collections import defaultdict
def build_map(n, nums):
    mapping = defaultdict(set)

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#include <iostream>
#include <cmath>
#include <iomanip>
#include <atomic>
#include <mutex>
#include <thread>
#include <condition_variable>
#include <sstream>
#include <vector>
#include <fstream>

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0x5f3759df - Quake III Arena's Fast Inverse Square Root Function Explained

A Pen by Mo Ismailzai on CodePen.

License.

See http://www.moismailzai.com/0x5f3759df/

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#!/usr/bin/python

import turtle

def draw_cesaro_line(turtle, level, length):
    
    if level == 0:
        
        turtle.forward(length)
        

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"""
Produces load on all available CPU cores.
Requires system environment var STRESS_MINS to be set.
"""

from multiprocessing import Pool
from multiprocessing import cpu_count
import time
import os

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Invert

And

Or

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import numpy as np
import matplotlib.pyplot as plt

def normalize(vector):
    return vector / np.linalg.norm(vector)

def reflected(vector, axis):
    return vector - 2 * np.dot(vector, axis) * axis

def sphere_intersect(center, radius, ray_origin, ray_direction):