Janosh Riebesell janosh

## pdfcompress.sh
#!/bin/bash

find "$1" -name "*.pdf" | while read file; do
  path=${file%/*}
  basename=${file##*/}
  ext=${basename##*.}
  filename=${basename%.*}
  gs -sDEVICE=pdfwrite -dCompatibilityLevel=1.4 -dPDFSETTINGS=/ebook -dNOPAUSE -dBATCH -dQUIET -sOutputFile="$path/$filename-min.pdf" "$file"
done

## tf.js
import * as tf from '@tensorflow/tfjs'

export const tfMultivariateNormal = (mu, sigma) => {
  [mu, sigma] = [tf.tensor(mu), tf.tensor(sigma)]
  const [dim] = mu.shape
  if (!sigma.shape.every(d => d === dim))
    throw new Error(`dimension mismatch in tfMultivariateNormal()`)
  const Z = ((2 * Math.PI) ** dim * tfDet(sigma).arraySync()) ** -0.5
  return x => {
    x = tf.tensor(x)

## pdfpreviews.sh
#!/bin/bash

find $1 -type f -iname "*.pdf" -exec sh -c 'convert -density 100 -flatten "$1"[0] "$1".png' x {} \;

## rollup-plugin-markdown.js
import marked from 'marked'

// Import and compile markdown files. Adapted from
// https://github.com/xiaofuzi/rollup-plugin-md/blob/master/src/index.js
export function markdown(options = {}) {
  if (options.marked) marked.setOptions(options.marked)

  return {
    name: `markdown`,
    transform(md, id) {

## make_sequential_with_xmp.py
import os
import sys

_, dirname, prefix = sys.argv

os.chdir(dirname)

files = sorted(f for f in os.listdir() if not f.endswith(".xmp"))


## AutoCompletePlace.svelte
<script>
  // This component uses the Google Maps Places API to turn user text input into a
  // formatted address and lat/lng coordinates.
  import { onMount } from 'svelte'
  import { session } from '$app/stores'

  export let selectHandler
  export let placeholder = ``
  export let required = false
  export let name = ``

## pyupgrade.sh
#!/bin/sh
# Shell script to upgrade a Python 2 project to Python 3.
# If it's a TensorFlow project consider running afterwards:
# tf_upgrade_v2 --intree . --outtree . --reportfile tf2_report.txt

# [ -x "$(command -v some_binary)" ] checks whether some_binary is
# in path and executable. See https://stackoverflow.com/a/26759734.


if [ -x "$(command -v 2to3)" ]; then

## auto_merge_bot_prs.py
import argparse
import subprocess
from typing import Literal

__author__ = "Janosh Riebesell"
__date__ = "2022-07-04"

description = """
Batch merge bot-created PRs. Uses the GitHub CLI (`brew install gh`) which must be
authenticated, i.e. `gh auth status` must exit 0. By default asks for confirmation

## argMinMax.js
const argFact = (compareFn) => (array) => array.map((el, idx) => [el, idx]).reduce(compareFn)[1]

const argMax = argFact((min, el) => (el[0] > min[0] ? el : min))
const argMin = argFact((max, el) => (el[0] < max[0] ? el : max))

argMin([42, -5, 3.14, 1e6]) // 1
argMax([42, -5, 3.14, 1e6]) // 3

## 2025_03_13_parallel_matcalc.py
# %%
from __future__ import annotations

import warnings
from collections import defaultdict
from time import perf_counter

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
	#!/bin/bash

	find "$1" -name "*.pdf" \| while read file; do
	path=${file%/*}
	basename=${file##*/}
	ext=${basename##*.}
	filename=${basename%.*}
	gs -sDEVICE=pdfwrite -dCompatibilityLevel=1.4 -dPDFSETTINGS=/ebook -dNOPAUSE -dBATCH -dQUIET -sOutputFile="$path/$filename-min.pdf" "$file"
	done
	import * as tf from '@tensorflow/tfjs'

	export const tfMultivariateNormal = (mu, sigma) => {
	[mu, sigma] = [tf.tensor(mu), tf.tensor(sigma)]
	const [dim] = mu.shape
	if (!sigma.shape.every(d => d === dim))
	throw new Error(`dimension mismatch in tfMultivariateNormal()`)
	const Z = ((2 * Math.PI) ** dim * tfDet(sigma).arraySync()) ** -0.5
	return x => {
	x = tf.tensor(x)
	#!/bin/bash

	find $1 -type f -iname "*.pdf" -exec sh -c 'convert -density 100 -flatten "$1"[0] "$1".png' x {} \;
	import marked from 'marked'

	// Import and compile markdown files. Adapted from
	// https://github.com/xiaofuzi/rollup-plugin-md/blob/master/src/index.js
	export function markdown(options = {}) {
	if (options.marked) marked.setOptions(options.marked)

	return {
	name: `markdown`,
	transform(md, id) {
	import os
	import sys

	_, dirname, prefix = sys.argv

	os.chdir(dirname)

	files = sorted(f for f in os.listdir() if not f.endswith(".xmp"))
	<script>
	// This component uses the Google Maps Places API to turn user text input into a
	// formatted address and lat/lng coordinates.
	import { onMount } from 'svelte'
	import { session } from '$app/stores'

	export let selectHandler
	export let placeholder = ``
	export let required = false
	export let name = ``
	#!/bin/sh
	# Shell script to upgrade a Python 2 project to Python 3.
	# If it's a TensorFlow project consider running afterwards:
	# tf_upgrade_v2 --intree . --outtree . --reportfile tf2_report.txt

	# [ -x "$(command -v some_binary)" ] checks whether some_binary is
	# in path and executable. See https://stackoverflow.com/a/26759734.


	if [ -x "$(command -v 2to3)" ]; then
	import argparse
	import subprocess
	from typing import Literal

	__author__ = "Janosh Riebesell"
	__date__ = "2022-07-04"

	description = """
	Batch merge bot-created PRs. Uses the GitHub CLI (`brew install gh`) which must be
	authenticated, i.e. `gh auth status` must exit 0. By default asks for confirmation
	const argFact = (compareFn) => (array) => array.map((el, idx) => [el, idx]).reduce(compareFn)[1]

	const argMax = argFact((min, el) => (el[0] > min[0] ? el : min))
	const argMin = argFact((max, el) => (el[0] < max[0] ? el : max))

	argMin([42, -5, 3.14, 1e6]) // 1
	argMax([42, -5, 3.14, 1e6]) // 3
	# %%
	from __future__ import annotations

	import warnings
	from collections import defaultdict
	from time import perf_counter

	import matplotlib.pyplot as plt
	import numpy as np
	import pandas as pd