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---
- name: 'Install Grafana dependencies'
  apt:
    name:
      - apt-transport-https 
      - ca-certificates 
      - curl
      - software-properties-common
      - gnupg2
    state: 'present'

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#!/usr/bin/python

def chartable():
    """
    Define universe, i.e the character table available for encryption and decryption
    """
    universe = " " # space character
    universe += "0123456789" # numbers
    universe += "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz" # letters
    universe += "!#$%&'()*+,-./:;<=>?@[\]^_`{|}" # special characters

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import heapq as hq
import numpy as np
import numpy.ma as ma

class Eikonal:
    """
    Eikonal solver.

    References
    ----------

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import numpy as np

def voronoi(nx, ny, dh, xp, yp, val, xrng, yrng):
    """
    Simple Voronoi 2D interpolation.

    :param n1: number of points in the first dimension of the output model
    :param n2: number of points in the second dimension of the output model
    :param dh: spatial sampling
    :param xp: x-coordinates of points to interpolate

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import matplotlib.pyplot as plt
import numpy as np

def voronoi(nx, ny, dh, xp, yp, val, xrng, yrng):
    """
    Simple Voronoi 2D interpolation.

    :param n1: number of points in the first dimension of the output model
    :param n2: number of points in the second dimension of the output model
    :param dh: spatial sampling

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# -------------------------------------------------------------------
# Filename: gpdcwrap.py
#   Author: Damien Pageot
# ------------------------------------------------------------------
"""
Functions to use the Geopsy-gpdc engine.
"""

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import time
import chime
from rich.progress import Progress

def ptimer(phase, ptime, pcolor="white"):
    """
    A generic timer for the three phases of the pomodoro
    technique.

    phase: (str) name of the phase

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CB_color_cycle = ['#377eb8', '#ff7f00', '#4daf4a',
                  '#f781bf', '#a65628', '#984ea3',
                  '#999999', '#e41a1c', '#dede00']

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My Pandoc Markdown-PDF Workflow for Routine, Not Especially Technical, Writing

by Danny Quah, Aug 2020 (revised Jan 2022)

TL;DR: I write technical articles in LaTeX. But shorter, non-technical writings are easier to do in Markdown. How do I produce PDF from Markdown documents? Answer: provide YAML information in the Markdown; run Pandoc (typically through a Makefile or Atom's Markdown Preview Enhanced). To make all this work, some adjustment is needed in Pandoc options and template files.

Pandoc is a filter that takes a written document in a particular format, and produces a version of that same document in yet a different format. I use Pandoc primarily to transform Markdown documents to PDF, but I also draw on Pandoc to convert Word or ODT documents to Markdown. And vice versa.

Available official Pandoc documentation is voluminous. So as a matter of logic the knowledge to generate PDF from Markdown, to the user's desired degree of control, is already extant, out there somewhere. But a user j

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# Dockerfile for SQLite
FROM alpine:latest

# Install SQLite
RUN apk --no-cache add sqlite sqlite-dev

# Set the working directory
WORKDIR /data

# Expose the port SQLite may use