alexandremcosta

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all

alexandremcosta

Design Document

How to read this?

• Merged
• Review Required

For additional information, check this presentation.

Summary of Pull Requests

alexandremcosta

Reward system

A company is planning a way to reward customers for inviting their friends.
They're planning a reward system that will give a customer points for each confirmed invitation they played a part into.
The definition of a confirmed invitation is one where another invitation's invitee invited someone.

The inviter gets (1/2)^k points for each confirmed invitation, where k is the level of the invitation:

• level 0 (people directly invited) yields 1 point
• level 1 (people invited by someone invited by the original customer) gives 1/2 points
• level 2 invitations (people invited by someone on level 1) awards 1/4 points and so on

alexandremcosta

This is a Markdown page

Go to HTML

• Git Handbook

alexandremcosta

defmodule Downloader do
  @moduledoc"""
  Download streams of bytes from URLs.
  Useful to transfer large files with low RAM usage.
  
  ## Example with `ExAWS.S3.upload/3`
  
  ```elixir
  url
  |> Downloader.stream_body!()

alexandremcosta

defmodule MigrateRedis do
  require Logger

  @from [host: "127.0.0.1", port: 6379]
  @to [host: "127.0.0.1", port: 6379]

  def migrate(from \\ @from, to \\ @to) do
    {:ok, from} = Redix.start_link(from)
    {:ok, to} = Redix.start_link(to)

alexandremcosta

class Weather::Interpolation
  def initialize(x, y, z, xi, yi)
    @x, @y, @z, @xi, @yi = x, y, z, xi, yi
  end

  def calc
    # if any location closer than 10km, return this location
    close_location = distances.index {|d| d < 10}
    close_location ? @z[close_location] : interpolation
  end

alexandremcosta

######################################################
# Tree Variables #####################################
# number of edges		 4
# edge flows			 [0, 0, 0, 0, 10.0, 5.0, -0.0, -0.0]
# node potentials		 [10752.0, -5376.0, -5376.0, -5376.0]
# parent nodes			 [0, 1, 2, 3]
# edges to parents		 [4, 5, 6, 7]
# subtree sizes			 [1, 1, 1, 1]
# next nodes in dfs thread	 [0, 1, 2, 3]
# previous nodes in dfs thread	 [0, 1, 2, 3]

alexandremcosta

<script>
import YieldService from '@/services/yieldService'

export default {
  name: 'portfolio-summary',
  props: ['farms'],
  methods: {
    totalArea: function () {
      return this.farms.reduce((a, b) => a + b.areaUsed, 0)
    },

alexandremcosta

import pandas as pd
import scipy.stats as st
import pylab as pl
import math

# Download dataframe
url = "https://archive.ics.uci.edu/ml/machine-learning-databases/statlog/shuttle/shuttle.tst"
df = pd.read_csv(url, header=None, delimiter=' ')

# From http://odds.cs.stonybrook.edu/shuttle-dataset/