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extends KinematicBody2D

signal dragsignalstart
signal dragsignalstop

var dragging = false
var mouse_over = false
var offset
var tween
var flipped = false

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Front End Capstone Journal

This gist details the decisions I made, the tests I conducted, the observations recorded, and the directions I took while building out our Front End Capstone project.

Goals

To create the Item Detail pages for Project Atelier, an eCommerce product page built in React, focusing on Performance Optimization

Achievements

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AA rough, cindery lava [n AAS]
AB an abdominal muscle [n ABS]
AD an {advertisement=n} [n ADS]
AE one [adj]
AG {agriculture=n} [n AGS]
AH {aah=v} [v AHED, AHING, AHS]
AI a three-toed sloth [n AIS]
AL an East Indian tree [n ALS]
AM <be=v> [v]
AN used before words beginning with a vowel sound [article]

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var test = [
  9,
  null,
  true,
  false,
  'Hello world',
  [],
  [8],
  ['hi'],
  [8, 'hi'],

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<div id="hands-grid">
    { orderedHands.map(function(hand) {
        {const sortedActions = Object.entries(handState[hand]["actions"])
            .sort(([,a],[,b]) => b-a)
            .reduce((r, [k, v]) => ({ ...r, [k]: v }), {});
        console.log("sortedActions", sortedActions)
        const firstAction = Object.keys(sortedActions)[0]
        const firstColor = actionColors[firstAction]
        const firstActionWeight = sortedActions[firstAction]
        const secondAction = Object.keys(sortedActions)[1]

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<div class="confirm-column">
  {% if not timeslot.confirmed %}
      {% csrf_token %}
      <button id="confirm-btn" onclick="confirm()" data-teacherslug="{{ slug }}" data-timeslotid="{{ timeslot.id }}">Confirm</button>
  {% else %}
      <span id="checkmark"></span>
  {% endif %}
</div>

def confirm_timeslot(request, teacher_slug, timeslot_id):

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import itertools

given_matrix = [[1, 2, 3, 4, 5, 6],
                [7, 8, 9, 10, 11, 12],
                [13, 14, 15, 16, 17, 18],
                [19, 20, 21, 22, 23, 24],
                [25, 26, 27, 28, 29, 30],
                [31, 32, 33, 34, 35, 36]]

rotations = 2

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import itertools
import pandas as pd
import matplotlib.pyplot as plt
from tkinter import *
from tkinter import ttk


def input_ui(results_text):
    # Create Tkinter frame instance
    win = Tk()

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def input_ui(results_text):
    # Create Tkinter frame instance
    win = Tk()

    # Set Tkinter frame geometry
    win.geometry("750x250")

    # Initialize Label widgets to display the total accuracy, instructions, and validation warning text
    results_label = Label(win, text=results_text, font="Courier 12")
    results_label.grid(row=0, column=0, columnspan=4)

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def input_ui(results_text):
    # Create Tkinter frame instance
    win = Tk()

    # Set Tkinter frame geometry
    win.geometry("750x250")

    # Initialize Label widgets to display the total accuracy, instructions, and validation warning text
    results_label = Label(win, text=results_text, font="Courier 12")
    results_label.grid(row=0, column=0, columnspan=4)