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from itertools import product

import numpy as np

INV_SQRT_3 = 1.0 / np.sqrt(3.0)
ASIN_INV_SQRT_3 = np.arcsin(INV_SQRT_3)


def gaussian_bell(xs, ys, xc=0., yc=0., xsigma=1., ysigma=1.):
    """ Compute a 2D Gaussian with asymmetric standard deviations and

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$ sudo hcitool lescan
AA:BB:CC:DD:EE:FF Polar H10 ABCDEFGH

$ gatttool -t random --device=AA:BB:CC:DD:EE:FF --interactive
[AA:BB:CC:DD:EE:FF][LE]> connect
Attempting to connect to AA:BB:CC:DD:EE:FF
Connection successful
[AA:BB:CC:DD:EE:FF][LE]> primary
attr handle: 0x0001, end grp handle: 0x0009 uuid: 00001800-0000-1000-8000-00805f9b34fb
attr handle: 0x000a, end grp handle: 0x000d uuid: 00001801-0000-1000-8000-00805f9b34fb

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from __future__ import print_function
'''
Basic Multi GPU computation example using TensorFlow library.
Author: Aymeric Damien
Project: https://github.com/aymericdamien/TensorFlow-Examples/
'''

'''
This tutorial requires your machine to have 1 GPU
"/cpu:0": The CPU of your machine.

pmav99

Author: Sean Gillies Version: 1.0

Abstract

This document describes a GeoJSON-like protocol for geo-spatial (GIS) vector data.

Introduction

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A Python Popen that does not suck.

Function

import os
import subprocess

def popen(*args, **kwargs):
    output      = kwargs.get('output', False)
    directory   = kwargs.get('dir')

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• Kinesis Freestyle (Terrible key switches. Mushy and un-lovable)

• Kinesis Freestyle Edge (Traditional layout with too many keys, mech switches, proably too big to be tented easily/properly)

• Matias Ergo Pro (Looks pretty great. Have not tried.)

• ErgoDox Kit (Currently, my everyday keyboard. Can buy pre-assembled on eBay.)

• ErgoDox EZ (Prolly the best option for most people.)

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This gist will contain all the exercises from the book

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Tuning Intel Skylake and beyond for optimal performance and feature level support on Linux:

Note that on Skylake, Kabylake (and the now cancelled "Broxton") SKUs, functionality such as power saving, GPU scheduling and HDMI audio have been moved onto binary-only firmware, and as such, the GuC and the HuC blobs must be loaded at run-time to access this functionality.

Enabling GuC and HuC on Skylake and above requires a few extra parameters be passed to the kernel before boot.

Instructions provided for both Fedora and Ubuntu (including Debian):

Note that the firmware for these GPUs is often packaged by your distributor, and as such, you can confirm the firmware blob's availability by running:

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#!/bin/bash
iatest=$(expr index "$-" i)

#######################################################
# SOURCED ALIAS'S AND SCRIPTS BY zachbrowne.me
#######################################################

# Source global definitions
if [ -f /etc/bashrc ]; then
	 . /etc/bashrc

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#!/usr/bin/env python3

import os
import logging
import psycopg2 as pg

from decimal import Decimal
from functools import wraps
from psycopg2.pool import ThreadedConnectionPool