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// Sample output:
//
// Win probability for first move with random agents:
// 0.115 0.102 0.116 
// 0.102 0.131 0.101 
// 0.116 0.102 0.116 
// Player 1 won 584650 times
// Player 2 won 288379 times
// 126971 ties
// 0.035250 seconds

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import math

class Line:
    def __init__(self, x1, y1, x2, y2):
        self.x1 = x1
        self.y1 = y1
        self.x2 = x2
        self.y2 = y2

    def to_svg(self, style):

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from z3 import *
import matplotlib.pyplot as plt
import random, math

# pip install z3-solver matplotlib
# do not install z3, that's a different library

random.seed(0)

def find_ordered_coloring(edges, n):

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import numpy as np
import matplotlib.pyplot as plt
import matplotlib

# ugly hack to embed fonts
matplotlib.rc("pdf", fonttype=42)

edgecolor = "black"

bar_scale = 0.8

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import subprocess, getpass

def get_gpu_usage():
    """
    Returns a dict which contains information about memory usage for each GPU.

    In the following output, the GPU with id "0" uses 5774 MB of 16280 MB.
    253 MB are used by other users, which means that we are using 5774 - 253 MB.

    {

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import blenderproc as bproc
import numpy as np

bproc.init()

# Create a simple object:
obj = bproc.object.create_primitive("MONKEY")

# Create a point light next to it
light = bproc.types.Light()

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import numpy as np
import pyopencl as cl
from pymatting import KDTree
import pymatting
import time

source = """
typedef int int32_t;
typedef long int64_t;

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Colors:
[[255, 128, 128], [255, 174, 128], [255, 221, 128], [213, 255, 128], [128, 255, 183], [128, 255, 253], [128, 208, 255], [128, 151, 255], [198, 128, 255], [255, 128, 202]]
RGB colors in unit range:
(1.00, 0.50, 0.50), (1.00, 0.68, 0.50), (1.00, 0.87, 0.50), (0.84, 1.00, 0.50), (0.50, 1.00, 0.72), (0.50, 1.00, 0.99), (0.50, 0.82, 1.00), (0.50, 0.59, 1.00), (0.78, 0.50, 1.00), (1.00, 0.50, 0.79)
Colors in hexadecimal:
['#ff8080', '#ffae80', '#ffdd80', '#d5ff80', '#80ffb7', '#80fffd', '#80d0ff', '#8097ff', '#c680ff', '#ff80ca']

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import cv2
import numpy as np
import urllib.request
import os

# Download Tsukuba stereo test images
urls = [
    "https://vision.middlebury.edu/stereo/data/scenes2001/data/tsukuba/scene1.row3.col1.ppm",
    "https://vision.middlebury.edu/stereo/data/scenes2001/data/tsukuba/scene1.row3.col2.ppm",
]

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#include <cuda_runtime.h>
#include <iostream>

#define CHECK_CUDA_ERROR(call)                                                      \
    do {                                                                            \
        cudaError_t err = call;                                                     \
        if (err != cudaSuccess) {                                                   \
            std::cerr << "CUDA error at " << __FILE__ << ":" << __LINE__ << " - "   \
                      << cudaGetErrorString(err) << " (" << err << ")" << std::endl; \
            exit(EXIT_FAILURE);                                                     \