torfjelde

# This file is machine-generated - editing it directly is not advised

julia_version = "1.10.0"
manifest_format = "2.0"
project_hash = "a0590676db40552635a5877095b47d6a64ec5413"

[[deps.ADTypes]]
git-tree-sha1 = "41c37aa88889c171f1300ceac1313c06e891d245"
uuid = "47edcb42-4c32-4615-8424-f2b9edc5f35b"
version = "0.2.6"

ztangent

using Documenter, PDDL

# Include workaround to inject custom meta tags
include("metatags.jl")

# Add custom metatags
empty!(CUSTOM_META_TAGS)
PREVIEW_IMAGE_URL =
   "YOUR PREVIEW URL HERE"
SITE_DESCRIPTION =

jkrumbiegel

function sankey!(target, x1, x2, bend, start_min, start_max, stop_min, stop_max, color_start, color_stop)
    bezier(t, p1, p2, p3, p4) = (1 - t)^3 * p1 + 3(1 - t)^2 * t * p2 + 3 * (1 - t) * t^2 * p3 + t^3 * p4

    b(t, start, stop) = begin
        p_start = Point2f(x1, start)
        p_stop = Point2f(x2, stop)
        c1 = Point2f(x1 + bend * (x2-x1), start)
        c2 = Point2f(x2 - bend * (x2-x1), stop)
        bezier(t, p_start, c1, c2, p_stop)
    end

hugke729

# A function to rasterize components of a matplotlib figure while keeping
# axes, labels, etc as vector components
# https://brushingupscience.wordpress.com/2017/05/09/vector-and-raster-in-one-with-matplotlib/
from inspect import getmembers, isclass
import matplotlib
import matplotlib.pyplot as plt
import numpy as np


def rasterize_and_save(fname, rasterize_list=None, fig=None, dpi=None,