aniongithub

from collections import deque
from enum import Enum, IntEnum, auto
from typing import Callable, Concatenate, Dict, List, Tuple, Union

import numpy as np
import pytransform3d.rotations as pr
import pytransform3d.transformations as pt
from matplotlib.axes import Axes
from pygltflib import Accessor, Node, GLTF2

aniongithub

aniongithub

# syntax=docker/dockerfile:1.3-labs
# Enable heredoc syntax https://collabnix.com/using-heredocs-in-dockerfiles-simplify-your-image-building-process/

FROM ubuntu

RUN wget https://raw.githubusercontent.com/gdraheim/docker-systemctl-replacement/master/files/docker/systemctl3.py -O /usr/local/bin/systemctl &&\
    chmod +x /usr/local/bin/systemctl

RUN cat <<EOF > /etc/systemd/system/memgraph.service
[Unit]

aniongithub

import random
import string

def generate_sgc_planet_designation(galaxy='Milky Way', include_char=True):
    # Quadrants: M (Milky Way) or P (Pegasus)
    quadrant = 'M' if galaxy == 'Milky Way' else 'P'

    # Region within the quadrant (1-9)
    region = random.randint(1, 9)

aniongithub

Installing Nvidia GPU drivers on Ubuntu server

Since the default distro installation didn't work for me, here's an alternative method.

• Ensure that the nvidia drivers are removed from the kernel mod blacklist by running grep nvidia /etc/modprobe.d/* /lib/modprobe.d/* and moving/deleting/commenting any files/lines that contain this reference. For me, this file was: /etc/modprobe.d/blacklist-framebuffer.conf
• We need to disable the default Nouveau driver by creating /etc/modprobe.d/disable-nouveau.conf that contains

blacklist nouveau
options nouveau modeset=0

aniongithub

using System;
using System.Linq;
using System.Collections;
using System.Collections.Generic;
using System.Drawing;
using System.Drawing.Imaging;
using System.Runtime.InteropServices;

public interface IImageFormat
{

aniongithub

from setuptools import setup
# from https://gist.github.com/dcreager/300803 with "-dirty" support added
from version import get_git_version

# From http://bugs.python.org/issue15881
try:
    import multiprocessing
except ImportError:
    pass

aniongithub

import numpy as np
from fxpmath import Fxp

N_FRAC = 8
BITS = 32

def twos_comp(val, bits):
    # numpy/cupy/kernel friendly version of https://stackoverflow.com/a/9147327
    sign_bits = (val & (1 << (bits - 1))) >> (bits - 1)
    return np.int32(np.subtract(val, np.multiply(sign_bits, (1 << bits))))

aniongithub

# Adapted from recipes by Sean Eron Anderson and Fabian “ryg” Giesen
# all credits goes to the respective authors.
# http://graphics.stanford.edu/~seander/bithacks.html#InterleaveBMN
# http://fgiesen.wordpress.com/2009/12/13/decoding-morton-codes/
# Encoding DEM using Morton coding: https://www.klokantech.com/labs/dem-color-encoding/

# Mirror of code from: https://code.activestate.com/recipes/577558/

def part1by1(n):
        n&= 0x0000ffff

aniongithub

Configuration starting...
2021-05-26T02:44:31: $ git -C "/var/lib/docker/codespacemount/workspace" clone --depth 1 https://github.com/aniongithub/nativelibrary-dotnet-core "/var/lib/docker/codespacemount/workspace/nativelibrary-dotnet-core"
2021-05-26T02:44:31: Cloning into '/var/lib/docker/codespacemount/workspace/nativelibrary-dotnet-core'...
2021-05-26T02:44:31: git process exited with exit code 0
2021-05-26T02:44:33: $ git -C "/var/lib/docker/codespacemount/workspace/nativelibrary-dotnet-core" config --local remote.origin.fetch +refs/heads/*:refs/remotes/origin/*
2021-05-26T02:44:33: git process exited with exit code 0
2021-05-26T02:44:33: @microsoft/vscode-dev-containers-cli 0.0.32.
2021-05-26T02:44:33: $ docker build -f /var/lib/docker/codespacemount/workspace/nativelibrary-dotnet-core/Dockerfile -t vsc-nativelibrary-dotnet-core-cdd73e13f35b6b589436a7f80ab2a349 /var/lib/docker/codespacemount/workspace/nativelibrary-dotnet-core
2021-05-26T02:44:34: Sending build context to Docker daemon  101.4kB
2021-05-