Creating a docker image created from the Docker file attached:
sudo docker build --tag=weechatcontainer .
Running in Docker attached to a screen:
Creating a docker image created from the Docker file attached:
sudo docker build --tag=weechatcontainer .
Running in Docker attached to a screen:
I hereby claim:
To claim this, I am signing this object:
import numpy as np | |
Nsamples = 10000 | |
p_estimate = 0. | |
s_estimate = 0. | |
for j in range(Nsamples): | |
ps = np.random.random(2) | |
x = min(ps) |
def convert( image, theta0 = 0. ): | |
numChannels = image.shape[2] | |
numPixelX = image.shape[0] | |
numPixelY = image.shape[1] | |
newImage = np.zeros( (numPixelX, numPixelY, 3) ) | |
normSum = np.zeros( (3) ) | |
import numpy as np | |
import pylab as pl | |
from lmfit import minimize, Parameters | |
# Creating some data with some strong random factor | |
x = np.linspace(0, 10, 50) | |
y = (x-3)**2 + np.random.rand( 50 )*5 | |
# Defining residuals using an asymmetric loss function | |
def residual(params, x, data, eps_data): |
import numpy as np | |
import pylab as pl | |
from polarError import polarError | |
f, ax = pl.subplots(1, 1, figsize=(4,1.8) ) | |
bsize = 0.5 | |
theta = np.array( [np.pi*5./4. - bsize, np.pi/2. - bsize, np.pi*7.5/4. - bsize, 0] ) | |
data = np.array( [0.7, 0.3, 0.52, 0.8] ) | |
edata = np.array( [0.2, 0.1, 0.5, 0.2] ) |
// Ping of the LED's positive leg | |
int ledPin=7; | |
int state = 0; | |
int count; | |
unsigned long previousMillis = 400L; | |
double timer; | |
unsigned long interval = 3L; | |
unsigned long delta; |
This is the challenge.
In order to protect their maximum security facilities, the Club employs an electronic security lock activated by a 256-bit key which changes every minute. When a Club member is authorized to enter some of these facilities, he receives this key in hexadecimal format, the same format which is used to enter the key in the electronic lock’s keyboard. The last year (in 2015),