osin-vladimir

# search for the disk in the system 
lsblk -f

# create a file system on the drive
mkfs.ext4 /dev/nvme0n1

# mount to some folder
sudo mount /dev/nvme0n1 /media/storage_ssd/

# add line to /etc/fstab file

osin-vladimir

from math import cos, asin, sqrt

def distance(lat1, lon1, lat2, lon2):
    # https://en.wikipedia.org/wiki/Haversine_formula
    p = 0.017453292519943295
    a = 0.5 - cos((lat2-lat1)*p)/2 + cos(lat1*p)*cos(lat2*p) * (1-cos((lon2-lon1)*p)) / 2
    return 12742 * asin(sqrt(a))

def closest(data, v):
    return min(data, key=lambda p: distance(v['lat'],v['lon'],p['lat'],p['lon']))

osin-vladimir

# save/load objects in python 
import pickle    
def save_obj(obj, name ):
    with open('obj/'+ name + '.pkl', 'wb') as f:
        pickle.dump(obj, f, pickle.HIGHEST_PROTOCOL)

def load_obj(name ):
    with open('obj/' + name + '.pkl', 'rb') as f:
        return pickle.load(f)

osin-vladimir

import os
import json
from pprint import pprint

def save_image_set_txt(path, index):
    f = open(path, 'w')
    for ind in index:
        f.write(ind+'\n')
    f.close()

osin-vladimir

# libs
from phue import Bridge
import speech_recognition as sr
import time

# mapping some hue values to colors
color_hue = {'red':0, 'yellow':12750, 'green': 25500, 'blue':46920,'purple':56100}

# support commands 
command_list = ['red', 'yellow', 'green', 'blue', 'purple']

osin-vladimir

# set parameters for grid search
parameters_dtc = {
    'max_depth':  list(range(1,20)),
    'criterion': ['gini', 'entropy'],
    'splitter': ['best', 'random'],
    'max_features' : list(range(1,15))
}

gs = GridSearchCV(DTC(), param_grid = parameters_dtc, cv = cv)
#mesure time of search

osin-vladimir

from cvxpy import *
import numpy as np

#current level 
level = np.array([[5,5,10,10,10],[5,5,10,20,10],[0,5,5,10,5],[0,0,0,5,0]])

# desired level 
desired_level = np.ones([4,5])*6

# inflow - outflow matrix (inflow positive, outflow negative)

osin-vladimir

from cvxpy import *
import numpy

numpy.random.seed(1)
n = 20
x1 = Variable(n)
x2 = Variable(n)
a  = Variable(n)

objective = Minimize(2*x1 + 3*a)

osin-vladimir

#read from file
fname = "educated_people.txt"
with open(fname) as f:
    educated_people = f.read().splitlines()    
f.close

fname = "birthdate.txt"
with open(fname) as f:
    birthdate = f.read().splitlines()    
f.close