germayneng

germayneng

#!/bin/bash
# Add to instance metadata with `gcloud compute instances add-metadata \
#   instance-name --metadata-from-file startup-script=idle-shutdown.sh` and reboot
# NOTE: requires `bc`, eg, sudo apt-get install bc
# Modified from https://stackoverflow.com/questions/30556920/how-can-i-automatically-kill-idle-gce-instances-based-on-cpu-usage
threshold=0.1

count=0
wait_minutes=60
while true

germayneng

EPSG: 4326 uses a coordinate system on the surface of a sphere or ellipsoid of reference.
WGS 84 - Earth as Geoid. -Mercator

EPSG: 3857 uses a coordinate system PROJECTED from the surface of the 
sphere. Earth as perfectly sphere. -Web Mercator

Think of it as this way:

EPSG 4326 uses a coordinate system the same as a GLOBE (curved surface). 
EPSG 3857 uses a coordinate system the same as a MAP (flat surface).

germayneng

import numpy as np
import matplotlib.pyplot as plt


# class from here: http://nbviewer.ipython.org/gist/tillahoffmann/f844bce2ec264c1c8cb5
class gaussian_kde(object):
    """Representation of a kernel-density estimate using Gaussian kernels.

    Kernel density estimation is a way to estimate the probability density
    function (PDF) of a random variable in a non-parametric way.

germayneng

(defn reverse-haversine
  "Implementation of the reverse of Haversine formula. Takes one set of latitude/longitude as a start point, a bearing, and a distance, and returns the resultant lat/long pair."
  [{lon :long lat :lat bearing :bearing distance :distance}]
  (let [R 6378.137 ; Radius of Earth in km
        lat1 (Math/toRadians lat)
        lon1 (Math/toRadians lon)
        angdist (/ distance R)
        theta (Math/toRadians bearing)
        lat2 (Math/toDegrees (Math/asin (+ (* (Math/sin lat1) (Math/cos angdist)) (* (Math/cos lat1) (Math/sin angdist) (Math/cos theta)))))
        lon2 (Math/toDegrees (+ lon1 (Math/atan2 (* (Math/sin theta) (Math/sin angdist) (Math/cos lat1)) (- (Math/cos angdist) (* (Math/sin lat1) (Math/sin lat2))))))]

germayneng

/*
<https://stackoverflow.com/questions/40296831/is-it-possible-to-force-a-copy-of-a-protected-google-doc>


NOTE - 2021-05-24
-----------------

The script below isn't the fastest way to copy-and-paste from a protected 
Google Doc. Before trying it, I'd suggest following MikoFrosty's advice from 
the comments:

germayneng

# ~/.config/starship.toml

[battery]
full_symbol = "🔋"
charging_symbol = "🔌"
discharging_symbol = "⚡"

[[battery.display]]
threshold = 30
style = "bold red"

germayneng

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np

germayneng

Git Subtree Basics

If you hate git submodule, then you may want to give git subtree a try.

Background

When you want to use a subtree, you add the subtree to an existing repository where the subtree is a reference to another repository url and branch/tag. This add command adds all the code and files into the main repository locally; it's not just a reference to a remote repo.

When you stage and commit files for the main repo, it will add all of the remote files in the same operation. The subtree checkout will pull all the files in one pass, so there is no need to try and connect to another repo to get the portion of subtree files, because they were already included in the main repo.

Adding a subtree

Let's say you already have a git repository with at least one commit. You can add another repository into this respository like this:

germayneng

import numpy as np
import multiprocessing
from joblib import Parallel, delayed
from scipy.spatial.distance import pdist, squareform

def _dcorr(y, n2, A, dcov2_xx):
    """Helper function for distance correlation bootstrapping.
    """
    # Pairwise Euclidean distances
    b = squareform(pdist(y, metric='euclidean'))