FlynnOConnell

(base) RBO Jan 08 15:07 ~ $ git clone https://github.com/fastplotlib/fastplotlib.git Cloning into 'fastplotlib'... remote: Enumerating objects: 5890, done. remote: Counting objects: 100% (23/23), done. remote: Compressing objects: 100% (23/23), done. remote: Total 5890 (delta 3), reused 0 (delta 0), pack-reused 5867 (from 1) Receiving objects: 100% (5890/5890), 20.82 MiB | 30.20 MiB/s, done. Resolving deltas: 100% (3455/3455), done. Filtering content: 100% (83/83), 33.17 MiB | 10.88 MiB/s, done.

FlynnOConnell

############################################################################
#                                                                          #
#               ------- Useful Docker Aliases --------                     #
#                                                                          #
#     # Installation :                                                     #
#     copy/paste these lines into your .bashrc or .zshrc file or just      #
#     type the following in your current shell to try it out:              #
#     wget -O - https://gist.githubusercontent.com/jgrodziski/9ed4a17709baad10dbcd4530b60dfcbb/raw/d84ef1741c59e7ab07fb055a70df1830584c6c18/docker-aliases.sh | bash
#                                                                          #
#     # Usage:                                                             #

FlynnOConnell

<template>
  <div class="blue-shadow">
    <highlightjs :language="gistprops.language" :code="gistcontent" />
  </div>
</template>

<script setup>
import highlightjs from '@/components/subcomponents/HighlightCode.vue';
import { onMounted, ref, computed } from 'vue';
import { Octokit } from 'octokit';

FlynnOConnell

export var headerObserver = function (
    toChange: HTMLElement,
    toWatch: any
): IntersectionObserverCallback {
    let direction = 'up';
    let prevYPosition = 0;

    const smallheader: any = toChange;
    const sections: any = toWatch;

FlynnOConnell

{% extends "layout.html" %}

{% block css %}
<link rel="stylesheet" href="../static/css/style.css" />
{% endblock %}

{% block content %}
<div id="belowtopnav" class="home" style="margin-left: 100px; padding-top: 5px;">
	<div id="main">
		<h1>

FlynnOConnell

//Functions for picking slider color

(function(document){
    var display_element = document.getElementById("display-box"),
    r = document.querySelector('#r'),
    g = document.querySelector('#g'),
    b = document.querySelector('#b'),
    r_out = document.querySelector('#r_out'),
    g_out = document.querySelector('#g_out'),
    b_out = document.querySelector('#b_out'),

FlynnOConnell

//  In this file a canvas is generated and added to the DOM.
//  The mouse is used to draw dots on the canvas with a predefined color and radius.
//  One button is used to send the data of the current drawing on the canvas and another one is used to clear the canvas.


$( document ).ready(function() {

   function createCanvas() {
    var canvas = document.getElementById("inputCanvas");

FlynnOConnell

from __future__ import print_function
from flask import Flask, render_template, make_response
from flask import redirect, request, jsonify, url_for
import json
import io
import os
import base64
from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
from matplotlib.figure import Figure
import numpy as np

FlynnOConnell

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
# scores.py
Module (neuralnetwork): Structures to score and keep scores for evaluated data.
"""

from __future__ import division

import logging

FlynnOConnell

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
# _validate.py
Module (nn_utils): 
    Validation functions for SVM. Determine which steps have occured, 
    Prevent steps from occuring before previous attributes have been set
"""

import numpy as np