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