mgbckr

# Source: https://stackoverflow.com/a/20885799/991496

# IMPORANT: There needs to be a `__init__.py` in `your.lib.resources` 
# otherwise `pkg_resources.path` throws a FileNotFoundError saying "<resource> resource not found in <package_name>".
import your.lib.resources
try:
    import importlib.resources as pkg_resources
except ImportError:
    # Try backported to PY<37 `importlib_resources`.
    import importlib_resources as pkg_resources

mgbckr

// ==UserScript==
// @name         MLflow UI Helper
// @namespace    https://gist.github.com/mgbckr/6079e9ac26b33d9ae393791ce4fd7214
// @version      1.0.0
// @updateURL    https://gist.github.com/mgbckr/6079e9ac26b33d9ae393791ce4fd7214/raw/mlflowuihelper.user.js
// @downloadURL  https://gist.github.com/mgbckr/6079e9ac26b33d9ae393791ce4fd7214/raw/mlflowuihelper.user.js
// @description  Enhances MLflow UI (see https://mlflow.org)
// @author       Martin Becker
// @match        http://localhost:7777
// @match        http://localhost:5000

mgbckr

def calculate_correlations(df, correlation_threshold=0.3, pvalue_threshold=0.05):
    
    shape = (df.shape[1], df.shape[1])
    
    correlation_matrix =    sp.sparse.lil_matrix(shape)
    pvalues =               sp.sparse.lil_matrix(shape)
    mask =                  sp.sparse.lil_matrix(shape)
    overlap =               sp.sparse.lil_matrix(shape)
    
    def column_corr(col1_idx):

mgbckr

This Gist is about how to setup TiddlyWiki behind an Apache proxy in a sub- (folder / path / URL).

TiddlyWiki

When starting TiddlyWiki add a path-prefix:

tiddlywiki --listen "path-prefix=/my/path"

The alternative is using a specific tiddler, but that did not work for me for some reason.

Apache

mgbckr

# assume hitting STRG+B before each command

# windows
l                                 switch to last window
,                                 rename
:set-option -g allow-rename off   disable auto-rename of windows

# panes
%               split window                  
"               split window

mgbckr

# Update 2023-07-20:
# I've recently switched to installing `zsh` via `conda` which is a lot less hassle.
# I added it to start automatically in `tmux` with
# `set-option -g default-shell "~/miniconda3/envs/default/bin/zsh"`
#
# # Install Zsh on Sherlock
# Installs Zsh with Oh-My-Zsh without root privileges 
# on Stanford's Sherlock (https://sherlock.stanford.edu) for use in tmux
#
# ## Instructions

mgbckr

#!/bin/bash
# start with `watch -n 1 bash utop.sh` for continuous monitoring
top -b -n 1 | awk '
  NR <= 7 { print; next }
  { a[$2] += $9 }
  END {
    for (i in a) {
      printf "%-15s\t%s\n", i, a[i];
    }
  }

mgbckr

import numpy as np
from sklearn import svm
import sklearn as sk

def exp(majority_vote=False, n=1000):
    
    # data
    y = np.array([1,2] * 14)
    x = np.random.rand(len(y), 100)

mgbckr

def plot_multiple_axes(data, columns, x= "timestamp", colors=["black", "r-", "g-", "c-", "m-", "y-"], window=60):
    """
    TODO: Needs some clean up
    :type data: pandas.DataFrame
    :type columns: list of str
    """
  
    fig, host = plt.subplots(figsize=(20, 4))
    axes = [host] + [host.twinx() for c in range(1, len(columns))]
    

mgbckr

./adb shell

run-as the.package.of.the.application
cd /data/data/dthe.package.of.the.application/databases
chmod 777 TheDatabase.db
cp TheDatabase.db /mnt/sdcard/

./adb pull /mnt/sdcard/TheDatabase.db