AngelicosPhosphoros

#![recursion_limit="512"]

// This script prints all cpu features which active in this build.
// There are 3 steps in usage of script:
// 1. get list of features using `rustc --print target-features`
// 2. put it into script (it has values actual for 2020-12-06 for x86-64 target).
// 3. run script.

fn pad_name(s: &str)->String{
    let mut res = s.to_string();

marcan

Testing done using a Canon EOS 600D and a Canon EF-S18-55mm f/3.5-5.6 IS II.

Pinout

1. VBAT
2. DET (common with P-GND on lens side)
3. P-GND
4. VDD
5. DCL
6. DLC

max-mapper

giovtorres

#!/bin/bash

## **Updates to this file are now at https://github.com/giovtorres/kvm-install-vm.**
## **This updated version has more options and less hardcoded variables.**

# Take one argument from the commandline: VM name
if ! [ $# -eq 1 ]; then
    echo "Usage: $0 <node-name>"
    exit 1
fi

dan-blanchard

For ETS's SKLL project, we found out the hard way that Travis-CI's support for numpy and scipy is pretty abysmal. There are pre-installed versions of numpy for some versions of Python, but those are seriously out of date, and scipy is not there are at all. The two most popular approaches for working around this are to (1) build everything from scratch, or (2) use apt-get to install more recent (but still out of date) versions of numpy and scipy. Both of these approaches lead to longer build times, and with the second approach, you still don't have the most recent versions of anything. To circumvent these issues, we've switched to using Miniconda (Anaconda's lightweight cousin) to install everything.

A template for installing a simple Python package that relies on numpy and scipy using Miniconda is provided below. Since it's a common s

minrk

#!/usr/bin/env python
"""strip outputs from an IPython Notebook

Opens a notebook, strips its output, and writes the outputless version to the original file.

Useful mainly as a git filter or pre-commit hook for users who don't want to track output in VCS.

This does mostly the same thing as the `Clear All Output` command in the notebook UI.

LICENSE: Public Domain

deepankarsharma

from glfwpy.glfw import (AUTO_POLL_EVENTS, OPENED, OPENGL_CORE_PROFILE,
    OPENGL_FORWARD_COMPAT, OPENGL_PROFILE, OPENGL_VERSION_MAJOR,
    OPENGL_VERSION_MINOR, WINDOW,
    Enable, GetWindowParam, Init, OpenWindow, OpenWindowHint,
    SetKeyCallback, SetWindowTitle, SwapBuffers, Terminate)
import numpy as np
from OpenGL.arrays import ArrayDatatype
from OpenGL.GL import (GL_ARRAY_BUFFER, GL_COLOR_BUFFER_BIT,
    GL_COMPILE_STATUS, GL_FALSE, GL_FLOAT, GL_FRAGMENT_SHADER,
    GL_LINK_STATUS, GL_RENDERER, GL_SHADING_LANGUAGE_VERSION,

vi

/*
 * Read limited subset of matroska files (generated by udp2mkv) and stream them to network as UDP packets
 *
 * Limitations:
 *  1. cluster size is 5 bytes: 08 NN NN NN NN
 *  2. Each cluster have only two elements: Timecode and SimpleBlock
 *  3. Timecode have size 8 bytes and it is microseconds (timecode scale = 1000)
 *  4. SimpleBlock have size as 5 bytes: 08 NN NN NN NN
 *  5. There is only one track and it is track number 1
 *  6. No lacing