tvst

import streamlit as st
import os
import sys
import importlib.util

# Parse command-line arguments.
if len(sys.argv) > 1:
    folder = os.path.abspath(sys.argv[1])
else:
    folder = os.path.abspath(os.getcwd())

tvst

import os
import signal
import subprocess
import sys

# Parse command-line arguments.
if len(sys.argv) > 1:
    folder = os.path.abspath(sys.argv[1])
else:
    folder = os.path.abspath(os.getcwd())

jbwillis

This is a quick write up of how to get going with the AUVSI software. By no means is this complete, but these notes will help (hopefully).

Computer Set Up

These are the necessary steps for getting your computer ready to run the AUVSI software.

• Install Ubuntu 18.04 as a dual-boot system along with your other operating system(s). I highly recommend dual booting rather than trying to use a Virtual Machine. I used a VM for the first few months of AUVSI but I started running into weird network and device issues, so I had to switch over to a dual boot system and essentially start over. I have a bootable USB with 18.04 on it, anyone who wants to use it is welcome to get it from me in the MAGICC lab. See https://howtoubuntu.org/how-to-install-ubuntu-18-04-bionic-beaver for more instructions. Note: Don't install any version besides 18.04 - ROS Melodic only officially supports 18.04 and all of the MAGICC lab code you'll be using is meant to run on Melodic.
• On your Ubuntu 18.04 installation:
• Install ROS Mel

shaypal5

language: python
# ===== Linux ======
os: linux
dist: xenial
python:
  - 2.7
  - 3.6
  - 3.7
  - 3.8
  - 3.9

r00tdaemon

Installation

pip3 install --user pyqt5  
sudo apt-get install python3-pyqt5  
sudo apt-get install pyqt5-dev-tools
sudo apt-get install qttools5-dev-tools

---

Configuring to run from terminal

8bit-pixies

import Tkinter
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.figure import Figure

class App:
    def __init__(self, master):
        # Create a container
        frame = Tkinter.Frame(master)
        # Create 2 buttons
        self.button_left = Tkinter.Button(frame,text="< Decrease Slope",

Beyamor

import os, sys

markdown_name = sys.argv[1]
name = markdown_name.split(".")[0]
latex_name = name + ".tex"

os.system("pandoc -f markdown -t latex %s -o %s" % (markdown_name, latex_name))

with open(latex_name, "r") as latex_file:
        latex_content = latex_file.read()

dmeliza

# -*- coding: utf-8 -*-
# -*- mode: python -*-
# Adapted from mpl_toolkits.axes_grid1
# LICENSE: Python Software Foundation (http://docs.python.org/license.html)

from matplotlib.offsetbox import AnchoredOffsetbox
class AnchoredScaleBar(AnchoredOffsetbox):
    def __init__(self, transform, sizex=0, sizey=0, labelx=None, labely=None, loc=4,
                 pad=0.1, borderpad=0.1, sep=2, prop=None, barcolor="black", barwidth=None, 
                 **kwargs):