stefanv

#!/usr/bin/env python

import tomllib
import argparse
import sys
import subprocess


parser = argparse.ArgumentParser()
parser.add_argument(

danielballan

Experimental Databroker Sandbox

1. Install podman. https://podman.io/getting-started/installation

2. Install podman-compose:

   pip install podman-compose

3. Clone or copy docker-compose.yml and config.yml from this gist into a directory.

danielballan

conda activate sandbox
pip install --pre tiled[all] databroker[all] ipython

Note for Mac: Mac uses zsh by default and it requires single quotes like 'databroker[all]'. On the other hand, Windows requires that you not have quotes.

mkdir sandbox
cd sandbox/

webinista

#!/usr/bin/env python
# -*- coding: utf-8 -*- #
from __future__ import unicode_literals

# --------------------------------------
# Now compatible with Pelican 4.0.x!
# --------------------------------------

# Added by me
import time

CJ-Wright

#Author: Christopher J. Wright
#        Modified by Shuyue

# Hashing out "bad keys" that generare errors. Checked that they are not functional and that they don't exist in rcParams. There are also many other keys here that aren't doing anything in the test figures so far. We need to check the newst rcParam sheet. The figure.dpi setting is useful.
lines.linestyle : -
lines.marker : None
# lines.linewidth : 2.0
# lines.markersize : 5
lines.linewidth    : 1.5    # manuscripture 
lines.markersize   : 5.3    # manuscripture

gocarlos

// A simple quickref for Eigen. Add anything that's missing.
// Main author: Keir Mierle

#include <Eigen/Dense>

Matrix<double, 3, 3> A;               // Fixed rows and cols. Same as Matrix3d.
Matrix<double, 3, Dynamic> B;         // Fixed rows, dynamic cols.
Matrix<double, Dynamic, Dynamic> C;   // Full dynamic. Same as MatrixXd.
Matrix<double, 3, 3, RowMajor> E;     // Row major; default is column-major.
Matrix3f P, Q, R;                     // 3x3 float matrix.

mrkwjc

# ### Interface cuSOLVER PyCUDA

from __future__ import print_function
import pycuda.gpuarray as gpuarray
import pycuda.driver as cuda
import pycuda.autoinit
import numpy as np
import scipy.sparse as sp
import ctypes

thriveth

CB_color_cycle = ['#377eb8', '#ff7f00', '#4daf4a',
                  '#f781bf', '#a65628', '#984ea3',
                  '#999999', '#e41a1c', '#dede00']

greglandrum