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ahue / obsidian.sh

Created April 10, 2022 12:49

Obsidian pull-push script for Android

	#!/data/data/com.termux/files/usr/bin/bash
	cd ~/storage/shared/documents/my-vault
	git add --all
	git commit -m "mobile update $(date)"
	git pull --rebase
	git push origin main

ahue / fix-docker-machine-time-sync.ps1

Created March 29, 2022 20:18

fix-docker-machine-time-sync.ps1

	$vm = Get-VM -Name DockerDesktopVM
	$feature = "Zeitsynchronisierung"

	Disable-VMIntegrationService -vm $vm -Name $feature
	Enable-VMIntegrationService -vm $vm -Name $feature

ahue / git-obsidian.sh

Last active January 5, 2022 23:03

	cd ~/storage/shared/documents/my-vault
	git pull --rebase
	git add --all
	git commit -m "mobile update $(date)"
	git push origin main

ahue / zh_sync.sh

Last active January 5, 2022 20:33

obsidian sync script

	#!/data/data/com.termux/files/usr/bin/bash
	# ^^^^^^^^^^^^^^^ This says find the first instance of a sh (shell)
	# binary and use that shell to execute these commands.
	# There is little to no complexity here and no bashisms so it
	# should work just fine on most systems and instances of shells
	# (bash, zsh, sh, etc.)

	# original from: https://gist.githubusercontent.com/lucidhacker/0d6ea6308997921a5f810be10a48a498/raw/386fd5c640282daeaa3c9c5b7f4e875511c2946c/zk_sync.sh
	# modified according to: https://lucidhacker.substack.com/p/setting-up-git-syncing-for-obsidian

ahue / cluster_corr.py

Last active May 4, 2021 08:40

Rearranges the correlation matrix, corr_array, so that groups of highly correlated variables are next to eachother

	import scipy
	import scipy.cluster.hierarchy as sch

	def cluster_corr(corr_array, inplace=False, impute_nan=False):
	"""
	Original author: @WYegelwel (https://wil.yegelwel.com/cluster-correlation-matrix/)

	Rearranges the correlation matrix, corr_array, so that groups of highly
	correlated variables are next to eachother

ahue / cardinalities.py

Created May 3, 2021 11:52

Analyize cardinalities of a pandas Data.Frame

	import pandas as pd
	import seaborn as sns
	def cardinalities(df: pd.DataFrame, plot: bool = False):
	"""
	Analyses cardinalities in a data frame

	df DataFrame the data frame to be analyized
	plot Plot whether to plot rather than return the result DataFrame

	returns (DataFrame, Plot) of a matrix M(i,j) that reads row-wise,

ahue / gist:98eb5a7744c24bb2b2b358985acefdc4

Created April 14, 2021 20:58

Filter a 3d array on one dimension using and 2d index to receive a 2d array

	import numpy as np

	def filter_tensor_by_mx(tensor, mx):
	tshape = tensor.shape
	row_ix = np.arange(mx.shape[0])
	col_ix = np.arange(mx.shape[1])
	ix = np.array(np.meshgrid(row_ix, col_ix)).T.reshape(-1,2).T
	pane = rnd_ix_mx.ravel()
	res = tensor[pane, ix[0], ix[1]].reshape(mx.shape)
	return res

ahue / motion.conf

Last active March 26, 2021 06:57

Configure raspberry pi zero for motion with gif creation and mqtt

	# Rename this distribution example file to motion.conf
	#
	# This config file was generated by motion 4.1.1
	# Documentation: /usr/share/doc/motion/motion_guide.html

	############################################################
	# Daemon
	############################################################

	# Start in daemon (background) mode and release terminal (default: off)

ahue / cyclical_feature.py

Created February 15, 2021 21:09

Because I tend to forget... building cyclical features

	import numpy as np
	from typing import Union

	def cyclical_feature(x: Union(float\|np.array), max_x: float):
	"""
	Transforms a linear scale feature to a feature pair that represent a cyclical one.
	Assumes that the feature is in interval [0, max_x]

	See also https://towardsdatascience.com/cyclical-features-encoding-its-about-time-ce23581845ca