rileypeterson

watch -d -n 0.5 free -m

tail -lf /var/log/log.txt

sudo service service@{1..10} restart

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# Based on https://github.com/miketheman/pytest-socket/blob/master/pytest_socket.py

import socket
import requests

_true_socket = socket.socket


def _blank(*args, **kwargs):
    raise ValueError('socket')

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import random
import tempfile
import os
import numpy as np
import matplotlib.pyplot as plt

def r_sqr(yi, fi):
    ss_res = np.sum((yi - fi) ** 2)
    ss_tot = np.sum((yi - np.mean(yi)) ** 2)
    if ss_tot == 0:

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https://cvxopt.org/examples/index.html

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pts = [(-1, 1), (0, 1), (1, 0), (2, 2), (3, 3), (4, 2)]

def fd(*points, values=None):
    if values is None:
        values = []
    if len(points) == 2:
        x0, y0 = points[0]
        x1, y1 = points[1]
        val = (y1 - y0) / (x1 - x0)
        values.append(val)

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from scipy.spatial import cKDTree
import time
import numpy as np

np.random.seed(42)

st = time.time() 
a = np.random.rand(40000, 25)
b = np.random.rand(40000, 25)
t0 = cKDTree(a)

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# Automatically sets upstream tracking 
git config --global push.default current

# Autocomplete
brew install git bash-completion

# Create local branch which tracks existing remote branch
# https://stackoverflow.com/a/9537923/8927098
git checkout --track origin/<branch_name>

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wget http://ftp.wayne.edu/apache/spark/spark-2.4.4/spark-2.4.4-bin-hadoop2.7.tgz

# or another mirror from https://www.apache.org/dyn/closer.lua/spark/spark-2.4.4/spark-2.4.4-bin-hadoop2.7.tgz

tar -xzf spark-2.4.4-bin-hadoop2.7.tgz

export SPARK_HOME=/vagrant/spark-2.4.4-bin-hadoop2.7

export PATH=$SPARK_HOME/bin:$PATH

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""" From: https://math.stackexchange.com/a/2647450/635480 """

import numpy as np
import matplotlib.pyplot as plt

def plot_rotated_ellipse(cx=1, cy=2, rx=3, ry=0.5, theta=np.pi/4):
    alpha = np.linspace(0, 2*np.pi, 100)
    x = rx*np.cos(alpha)*np.cos(theta) - ry*np.sin(alpha)*np.sin(theta) + cx
    y = rx*np.cos(alpha)*np.sin(theta) + ry*np.sin(alpha)*np.cos(theta) + cy
    plt.plot(x, y)

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import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 50, 3001)
y = np.sin(3*x)
delta_x = x[1]
def second_order_central_fd(y, delta_x):
    """
    Return the second order central finite difference of a vector (i.e. d^2 y/ dx^2).
    Zero fills rollover. What it should probably do is a single order FDA
    or interpolate the endpoints.