nmichlo

#!/bin/bash

# get the directory that this script is in so you can call it from anywhere
script_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"

# your output folder, where sub0MyAgent.py.zip will be placed
# TODO: EDIT
out_dir="$script_dir/submissions/latest"

# locations of your files

nmichlo

unload_files=(
	"/Library/LaunchAgents/com.tuxera.ntfs.agent.plist"
)

for unload_file in "${unload_files[@]}"; do
	echo "Unloading: ${unload_file}"
	launchctl unload "${unload_file}"
	echo
done

nmichlo

import imageio
import numpy as np
import sys
import os
import imagesize


if __name__ == '__main__':
    assert len(sys.argv) >= 2, 'must supply at least 1 file argument'

nmichlo

def torch_pca_svd(X, center=True):
    n, _ = X.shape
    # center points along axes
    if center:
        X = X - X.mean(dim=0)
    # perform singular value decomposition
    u, s, v = torch.svd(X)
    # extract components
    components = v.T
    explained_variance = torch.mul(s, s) / (n-1)

nmichlo

#!/bin/bash

# TPS corresponds to IOPS:
# https://en.wikipedia.org/wiki/IOPS

function cluster-disk-info() {
    folders="/tmp /home-mscluster/ /scratch"
    # disk space
    df -h -P $folders
    disks=$(df -h -P $folders | perl -n -e '/.*.dev.(...).*/ && print "$1 "')

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

@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

from functools import lru_cache

from typing import Tuple
from typing import Union

import numpy as np
import torch


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

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

nmichlo

#  Copyright (c) 2020 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
#  furnished to do so, subject to the following conditions:
#
#  The above copyright notice and this permission notice shall be included in all