nmichlo

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>Ansi 0 Color</key>
	<dict>
		<key>Alpha Component</key>
		<real>1</real>
		<key>Blue Component</key>
		<real>0.066666670143604279</real>

nmichlo

#!/bin/bash

# A bash script to update a Cloudflare DNS A record with the external IP of the source machine
# Used to provide DDNS service for my home
# Needs the DNS record pre-creating on Cloudflare

## Based on https://gist.github.com/Tras2/cba88201b17d765ec065ccbedfb16d9a with updates to use
## per-zone configurable access tokens available in the API sections of your Cloudflare profile
##  - info@foo-games.com

nmichlo

"""
Benchmark of different python calls:

TL;DR:
- don't use dict(), dataclasses or namedtuples
- use {...}, [...], (...)
- tuples are fastest
- args are faster than kwargs for dataclasses and namedtuples

RESULTS:

nmichlo

"""
py3.8 - macbook pro 16-inch, 2019, 2.3 GHz 8-Core Intel Core i9, 16 GB 2667 MHz DDR4

In memory benchmarks, working with 100_000 items at a time

SqlAlchemy - insert bulk: 1560.605ms
SqlAlchemy - select all: 1350.774ms
SqlAlchemy - insert singles: 7821.888ms

sqlite3 - insert singles: 140.412ms

nmichlo

# MIT LICENSE
# Nathan Michlo

"""
Script to bypass rate limits for a GoogleDrive file
by creating an export job for the parent folder.

1. User manually specifies the file id of this parent folder
2. Script starts an export job for this folder
3. Script polls and waits for completion of the export job

nmichlo

from functools import lru_cache

from typing import Tuple
from typing import Union

import numpy as np
import torch


# ========================================================================= #

nmichlo

# ordered dithering generalised to n dims

# 2x2 example:
# ■ ■ | □ ■ | □ ■ | □ □ | □ □ 
# ■ ■ | ■ ■ | ■ □ | ■ □ | □ □ 

#  ~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~
#  MIT License
#
#  Copyright (c) 2021 Nathan Juraj Michlo

nmichlo

@functools.lru_cache()
def dither_matrix(n: int):
    assert isinstance(n, int) and (n > 0)
    if n == 1:
        return np.array([[0]])
    matrix = (1/n**2) * np.asarray(np.bmat([
        [n**2 * dither_matrix(int(n/2)) + 0, n**2 * dither_matrix(int(n/2)) + 2],
        [n**2 * dither_matrix(int(n/2)) + 3, n**2 * dither_matrix(int(n/2)) + 1],
    ]))
    matrix.flags.writeable = False  # because we are caching this

nmichlo

#  ~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~
#  MIT License
#
#  Copyright (c) 2021 Nathan Juraj Michlo
#
#  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

nmichlo

import dataclasses
import inspect
from functools import lru_cache
from typing import Any
from typing import Dict
from typing import Set
from typing import Tuple
from typing import Union