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

import matplotlib.pyplot as plt
import matplotlib.lines

# matplotlib.rcParams["legend.frameon"] = False # need to set this once to enable styling??? WTF???
titles = ["title 1", "title 2", "title 3", "title 4"]
colors = ['#ffd600', '#f44336', '#43a047', '#1e88e5', '#ab47bc', '#3f51b5', '#f57c00']

# init figure / plot
fig, axes = plt.subplots(1, len(titles), figsize=(5*len(titles) - 3, 5))
for i_t, ax in enumerate(axes):

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

# 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

#!/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

/**
 * <p>Shows how files in the class path can be accessed when using the standard
 * Maven directory layout.</p>
 * 
 * <p>The test file is "src/test/resources/accessFileOnClasspath/test.txt".
 * It is accessed using either {@link ClassLoader#getResource(String)} or
 * {@link ClassLoader#getResourceAsStream(String)}. Note that the file's
 * path is always relative to the class path's root. Thus the test file is
 * accessed using "accessFileOnClasspath/test.txt".</p>
 * 

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))]