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#!/usr/bin/env python
"""Extract textblocks from a Beamer presentation.

This is useful for making Powerpoint slides from Beamer presentations.
"""
import logging
import click
from pathlib import Path

PREAMBLE = r"""\documentclass[compress, aspectratio=169]{beamer}

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# Include this file in a devrepl of 
module TransmonModel

using LinearAlgebra
using SparseArrays
using QuantumControl.Shapes: flattop

const GHz = 2π
const MHz = 0.001GHz
const ns = 1.0

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using Luxor, Thebes, MathTeXEngine

function frame(scene, framenumber)
    background("white")
    sethue("black")
    fontsize(15)
    eased_n = scene.easingfunction(framenumber, 0, 1, scene.framerange.stop)
    helloworld()
    eyepoint(200, 200, 100)
    setline(0.5)

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using Pkg
Pkg.activate(temp=true)
Pkg.add("MarkdownAST")

import MarkdownAST


"""
    replace(f::Function, root::Node)

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# This MWE is to explore the use of RecursiveArrayTools for optimizing
# parameters for control functions.
#
# We want two things:
#
# * Extract control parameters that might occur in a set of Hamiltonians, each
#   Hamiltonian containing multiple controls, and each control containing an
#   AbstractVector of parameters (a ComponentArray seems very useful, but it
#   could be any AbstractVector). This should be done with a function
#   `get_parameters()`  that collects all control parameters in a

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# Assumptions
#
# * current working directory is the root directory of the project ("DocInventories") in this case
# * the documentation for the project has been built locally in `docs/build/`
# * the documentation has also been deployed online and is available at the `root_url` hard-coded in the script. Otherwise, do not call `check_url`
# * running on Unix (otherwise: adjust that path separator)

using HTTP
using URIs
using DocInventories

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black       = '#000000';
red         = '#B9211B';
green       = '#429429#';
yellow      = '#96942D';
blue        = '#081B90';
magenta     = '#8A2E90';
cyan        = '#419295';
white       = '#C7C7C7';
lightBlack  = '#686868';
lightRed    = '#ED776D';