| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "372c730b-581d-459a-9973-eecd922d0cee", | |
| "metadata": {}, | |
| "source": [ | |
| "# Rclone as API\n", | |
| "\n", | |
| "**PROOF OF CONCEPT**. Needs work! \n", |
Hi,
I didn't want to make an "issue" of this since I suspect it is user error but if you'd prefer, I can do that.
I am trying to set up ArchiveBox with Docker behind a Caddy Reverse proxy. I did make a few minor modifications to the docker-compose file to (a) use port 25005 (which is what I have in Caddy proxying to Archive Box), (b) set a full path to my data folder, and (c) settings.
My docker-file.yaml looks like: (where my username is USER
version: '3.7'| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Apply the same git commands to all git repositories below to a specified depth | |
| (default 1). Note: Will go below a top level repo for submodules, etc. WARNING: | |
| if there is ambiguity as to git flags vs git-all (this code) flags, separate | |
| with `--` | |
| """ | |
| from __future__ import division, print_function, unicode_literals, absolute_import |
| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Duplicate file finder. Finds dupe files by comparing the following attributes. | |
| Matching size is nessesary but very, very far from sufficient. Still, it is very | |
| fast so we use that to cut out a lot of files. | |
| * size | |
| * Obviously not at all robust but a nessesary | |
| * CRC checksum |
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Find duplicate files | |
| Warning: This has not been thouroughly tested and is missing many | |
| features including exlucsions, error handling, parallelism, etc. | |
| This is barebones | |
| Process: |
| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": {}, | |
| "source": [ | |
| "# Matplotlib Tips and Demos\n", | |
| "\n", | |
| "When I first learned Python three years ago, I was often finding myself having to lookup the same thing again and again for Matplotlib. This was back pre-2.0 when there was even more issues (e.g. plotting `NaNs` with masked arrays). \n", | |
| "\n", |