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{
  "trace": {
    "last_step": "sequence/0",
    "run_id": "7ed63d28d91f10de3817de1695fb27e1",
    "state": "stopped",
    "script_execution": "error",
    "timestamp": {
      "start": "2025-01-05T10:55:51.170362+00:00",
      "finish": "2025-01-05T10:55:51.173932+00:00"
    },

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blueprint:
  name: Shelly Plus 1 Button actions
  description: |
    This blueprint is for the Shelly PLus 1 setup as button. It is for general
    use.

    Note: Best set the `Input/Output settings` to `Detached - Input is separated/not changing state of the output/relay` on the Shelly: `http:/<shelly-ip>/#/input/0/settings/io-settings`. 
    In case you still want to control the primary output directly from the Shelly, create a local action: `http:/<shelly-ip>/#/input/0/create-action`.
  domain: automation
  input:

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Only guarantees structural compliance to definition

Germany

[A-ZÄÜÖ]{2,3}[ -][A-ZÄÜÖ]{1,2}[ -]\d{1,4}

Source

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#!/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

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

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

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

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#!/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

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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 
    

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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, 

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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