asinghvi17

using Makie

zoom_to_extent!(ax, target::Rect, factor = 1.0) = zoom_to_extent!(ax, ax.finallimits[], target, factor)

function zoom_to_extent!(ax, current_lims::Rect, target_lims::Rect2, factor = 1.0)
    # Get current limits
    current_xlims = current_lims.origin[1], current_lims.origin[1] + current_lims.widths[1]
    current_ylims = current_lims.origin[2], current_lims.origin[2] + current_lims.widths[2]

    # Calculate target limits

asinghvi17

using Makie

zoom_to_extent!(ax, target::Rect, factor = 1.0) = zoom_to_extent!(ax, ax.finallimits[], target, factor)

function zoom_to_extent!(ax, current_lims::Rect, target_lims::Rect2, factor = 1.0)
    # Get current limits
    current_xlims = current_lims.origin[1], current_lims.origin[1] + current_lims.widths[1]
    current_ylims = current_lims.origin[2], current_lims.origin[2] + current_lims.widths[2]

    # Calculate target limits

asinghvi17

• Dependent / independent (are x and y coords dependent on each other (most transformations) or independent (each axis is transformed separately)?
• "safe"/"unsafe" : can this transformation emit NaN or Inf given finite input?
• densification traits - is densification needed or not?
• what else do we need?

asinghvi17

using GeometryBasics, LinearAlgebra

function add_vertex!(vertex_list, vertex)
    push!(vertex_list, LinearAlgebra.normalize(vertex))
    return length(vertex_list)
end

function get_middle_point!(vertex_list, midpoint_cache, p1::Int, p2::Int)
    first_is_smaller = p1 < p2
    smaller_index = first_is_smaller ? p1 : p2

asinghvi17

Minimum criteria for docstrings

• Must have a usage example of real use - what the hell do I do with this?
• If user-facing, must explain package-specific concepts (this can be a few words but it has to be done, since people will come in with no knowledge of package internals)
• If output is a custom type, must mention what it is and what you can do with it.

asinghvi17

using CairoMakie

fig = Figure()
# Number of neurons per layer
neurons_per_column = [1, 10, 7, 5, 8, 1]
# A grid for each layer (arranged in a column)
col_grids = [GridLayout(fig[1, i]; valign = :center) for i in eachindex(neurons_per_column)]
# An axis per neuron
col_axes = [
    [Axis(col_grids[i][j, 1]) for j in 1:neurons_per_column[i]]

asinghvi17

#=
# Getting (noninteractive) raster images from the MapTiles/TileProviders ecosystem
=#

import HTTP # to run the actual request and fetch the tiles
import ImageMagick # to read returned images, since they may be any bitmap format
using MapTiles, TileProviders # Julia map-tile infrastructure
# Julia geographic infrastructure
using Extents 
import GeoInterface as GI

asinghvi17

using Colors

function cgrad2svgf(cgrad)
    stops = LinRange(0, 1, 256)
    colors = cgrad[stops]
    # no Alpha support yet
    # but soon!
    # <feFuncA type="table" tableValues="$(join(alpha.(colors), ","))"></feFuncA>
    return """
    <filter id="table" x="0" y="0" width="100%" height="100%">

asinghvi17

using GLMakie
using Meshing, GeometryBasics

isoval = 100
algo = MarchingCubes(iso=isoval, insidepositive=false)


struct CameraRotationMove{T} <: FlyThroughPaths.PathChange{T}
  duration::T

asinghvi17

#=
This file provides integration for R's SF objects 
which are essentially geo-dataframes, 
into Julia DataFrames with GeoInterface wrapper 
geometries.

This requires https://github.com/JuliaInterop/RCall.jl/pull/528,
so run `Pkg.add((; url = "https://github.com/asinghvi17/RCall.jl", rev = "patch-1"))` to get that.

TODO: