mdsrosa

from collections import defaultdict, deque


class Graph(object):
    def __init__(self):
        self.nodes = set()
        self.edges = defaultdict(list)
        self.distances = {}

    def add_node(self, value):

ervinb

#!/bin/sh

sudo apt-get purge -y maven
if ! [ -e .semaphore-cache/apache-maven-3.3.3-bin.tar.gz ]; then (cd .semaphore-cache; curl -OL http://mirror.olnevhost.net/pub/apache/maven/maven-3/3.3.3/binaries/apache-maven-3.3.3-bin.tar.gz); fi
sudo tar -zxf .semaphore-cache/apache-maven-3.3.3-bin.tar.gz -C /usr/local/
sudo ln -s /usr/local/apache-maven-3.3.3/bin/mvn /usr/bin/mvn
echo "Maven is on version `mvn -v`"

StuartGordonReid

class ClusteringQuality:
    """
    Instances of this class implement the two measures of clustering quality discussed in the article, namely the davies
    bouldin index and the silhouette index. It also implements a number of useful helper methods.
    :param solution: the clustering solution of type Clustering
    :param minimum: the minimum distance allowable
    """

    def __init__(self, solution, minimum):
        """

ryanflorence

Folder Structure

Please note

While this gist has been shared and followed for years, I regret not giving more background. It was originally a gist for the engineering org I was in, not a "general suggestion" for any React app.

Typically I avoid folders altogether. Heck, I even avoid new files. If I can build an app with one 2000 line file I will. New files and folders are a pain.

mickaellegal

# Importing the libraries
from scipy.stats.stats import pearsonr
import pandas as pd
import numpy as np
import json

data = pd.read_csv("../../Downloads/data_books.csv", sep = ",", header=None,
                         names=['Reviewer', 'Book', 'Rating'])

# Picking 2 books 

SabretWoW

# This is a skeleton for testing models including examples of validations, callbacks,
# scopes, instance & class methods, associations, and more.
# Pick and choose what you want, as all models don't NEED to be tested at this depth.
#
# I'm always eager to hear new tips & suggestions as I'm still new to testing,
# so if you have any, please share!
#
# @kyletcarlson
#
# This skeleton also assumes you're using the following gems: 

irgmedeiros

#-*- coding:utf-8 -*-

"""Utilities to evaluate pairwise distances or metrics between 2
sets of points.

Distance metrics are a function d(a, b) such that d(a, b) < d(a, c) if objects
a and b are considered "more similar" to objects a and c. Two objects exactly
alike would have a distance of zero.
One of the most popular examples is Euclidean distance.
To be a 'true' metric, it must obey the following four conditions::

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

jlong

var parser = document.createElement('a');
parser.href = "http://example.com:3000/pathname/?search=test#hash";

parser.protocol; // => "http:"
parser.hostname; // => "example.com"
parser.port;     // => "3000"
parser.pathname; // => "/pathname/"
parser.search;   // => "?search=test"
parser.hash;     // => "#hash"
parser.host;     // => "example.com:3000"