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statistics-v1.jl
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### A Pluto.jl notebook ###
# v0.19.12
using Markdown
using InteractiveUtils
# This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error).
macro bind(def, element)
quote
local iv = try Base.loaded_modules[Base.PkgId(Base.UUID("6e696c72-6542-2067-7265-42206c756150"), "AbstractPlutoDingetjes")].Bonds.initial_value catch; b -> missing; end
local el = $(esc(element))
global $(esc(def)) = Core.applicable(Base.get, el) ? Base.get(el) : iv(el)
el
end
end
# ╔═╡ 33a142dc-50d1-11ed-0b24-2d36feeb198a
using Glob
# ╔═╡ e0d03a54-a695-4f39-b52c-3e4837c22d9a
using PlutoUI
# ╔═╡ eff402b8-ec40-4aba-8e82-9ee8581ab0d5
using DataFrames
# ╔═╡ d772257e-3325-495d-b7f1-737f8a452c89
using Plots
# ╔═╡ 2fc190f2-c587-4ef9-b0c2-38027a3d043e
using StatsBase
# ╔═╡ f00205cc-2179-4747-b63b-c91322cb25ee
using CategoricalArrays
# ╔═╡ b1fdf946-3f3d-4c80-8a75-b1b805293e77
import CSV
# ╔═╡ 2de0278f-bc77-43c8-9c29-3d7db1dddc0b
import Random
# ╔═╡ 3ee6c3a7-c864-4a19-9d4d-34b06b1698ef
import Printf
# ╔═╡ 721da63c-33cf-4e3b-ad09-d69f5663976f
@bind path Select(sort(glob("output/*.csv"), order=Base.Reverse))
# ╔═╡ bdf2c442-9bf7-49e6-9b82-2f3b019ad989
data_all = DataFrame(CSV.File(path, stringtype=String))
# ╔═╡ 7026dbaf-9b0d-4c9a-9a1f-1409dc9f9e08
search_data = DataFrame(CSV.File("./download/github-search-dump.csv", stringtype=String))
# ╔═╡ cb11f347-4153-4964-b8cb-e7ffef3d8f9b
crate_desc = "Repository"
# ╔═╡ 475e0db3-67a7-4571-862d-92d8a004604b
crates_desc = "Repositories"
# ╔═╡ 07414be9-58e7-4592-b6fa-47145383490d
github_names = search_data.name .* '-' .* search_data.head
# ╔═╡ baf4a7e6-5b2c-4e01-ad48-b106eb8df01f
repo_star_counts = Dict(github_names .=> search_data.stargazers_count)
# ╔═╡ e4d161ff-ef87-4c56-995e-7f586ce14d91
repo_issue_counts = Dict(github_names .=> search_data.open_issues_count)
# ╔═╡ 6f79bb1c-4627-4d27-91a7-8cb540666e02
repo_sizes = Dict(github_names .=> search_data.size)
# ╔═╡ 1cbb0bdf-ff94-4f11-b027-89821bf35bf2
syntaxes = levels(data_all.syntax)
# ╔═╡ 93f4e165-cddc-4d0d-84a6-766f1fe6d1a9
crates = levels(data_all.crate_name)
# ╔═╡ 30787c86-8e36-4557-9233-24ebdccc7263
traits = levels(data_all.trait_name)
# ╔═╡ 5fb97fb0-a906-4550-8f80-71f406e010fe
data_ats = subset(data_all, :at_count => c -> c .> 0)
# ╔═╡ a19e800b-9fe3-46ac-83bf-06b0950b7345
data_generics = subset(data_all, :generic_count => c -> c .> 0)
# ╔═╡ af9253cd-f89e-4eb2-8456-a74f139af765
function count_matrix(data, axes...; skipmissing=false)
axes_vals = [sort(levels(data[:, axis], skipmissing=skipmissing)) for axis=axes]
counts = zeros(Int32, length.(axes_vals)...)
for ent=eachrow(data)
if skipmissing && any(ent[axis] === missing for axis=axes)
continue
end
idxs = [
searchsortedfirst(vals, ent[axis]) for (axis, vals)=zip(axes, axes_vals)
]
counts[idxs...] += 1
end
counts, axes_vals...
end
# ╔═╡ 29e21236-56d6-4340-bec0-87a2104550c2
function all_proportions(data, by, of)
mtx, by_vals, of_vals = count_matrix(data, by, of)
Dict(by_vals .=> eachrow(mtx ./ sum(mtx, dims=1)))
end
# ╔═╡ e8da631a-5bcd-4d68-9ec9-9e63ed019863
begin
fmt_percent(x::String) = x
fmt_percent(x::R) where R<:Real = Printf.@sprintf("%0.2f%%", x * 100)
end
# ╔═╡ caeb480c-1909-4866-9c2a-45ed978d1fdb
function makefinite!(array, val=0)
for i=eachindex(array)
if !isfinite(array[i])
array[i] = val
end
end
end
# ╔═╡ 67ce1df6-5b90-47b1-8ca1-c0bcc25949a1
nan2val(x, val=0) where V = isfinite(x) ? x : val
# ╔═╡ e5cd1788-7c1f-4a82-9579-8b13c60aedd9
function mean_proportions_table(data, by, of; range=(:))
table, by_vals, of_vals = count_matrix(data, by, of)
table = table ./ sum(table, dims=1)
makefinite!(table)
table = view(mean(table, dims=2), :, 1)
table = by_vals .=> table
table = sort(
table,
by=p->p[2],
order=Base.Reverse,
)[range, :]
text = "| $(by) | $(of) proportion |\n| --- | --- |"
for (name, proportion) in table
text *= "\n| $(name) | $(fmt_percent(proportion)) |"
end
Markdown.parse(text)
end
# ╔═╡ 6bbcbf7d-2d4e-4f96-a0ee-f665fb83178c
all_proportions(data_all, :syntax, :crate_name)
# ╔═╡ 01286a56-c1a0-4f55-a897-ed5340d4d131
function syntax_counts_map(data)
syntax_counts = Dict()
for row=eachrow(data)
key = (row.crate_name, row.syntax)
syntax_counts[key] = get(syntax_counts, key, 0) + 1
end
syntax_counts
end
# ╔═╡ 52c82c3f-b36b-4775-a694-806d4e7a46f3
@bind the_data Select([data_all => "All Traits", data_ats => "With ATs", data_generics => "With Generics"])
# ╔═╡ d988e5d5-5484-4a47-883f-cd58cbe42275
function mean_proportions_table(data, by_rows, by_columns, of; range=(:))
table, row_axis, col_axis = if of !== nothing
count_matrix(the_data, by_rows, by_columns, of)
else
count_matrix(the_data, by_rows, by_columns)
end
table = table ./ sum(table, dims=(1,2))
makefinite!(table)
if of !== nothing
table = view(mean(table, dims=3), :, :, 1)
end
table = hcat(row_axis, table)
table = sortslices(
table, dims=1,
by=row->sum(row[2:end,:]),
order=Base.Reverse,
)[range, :]
text = "| $(by_rows) | " * join(col_axis, " | ") * " |\n"
text *= "| --- | " * join(("---" for _=col_axis), " | ") * " |\n"
for table_row=eachrow(table)
text *= "| " * join(map(fmt_percent, table_row), " | ") * " |\n"
end
Markdown.parse(text)
end
# ╔═╡ 87020a45-17df-4b7e-9a4e-433a9e73ee55
the_syntax_counts_map = syntax_counts_map(the_data)
# ╔═╡ fd151a4a-bfb2-44d2-9dd1-eb3c9c72a599
syntax_count(syntax, counts=the_syntax_counts_map) = (
get(counts, (crate, syntax), 0.0) for crate=crates
)
# ╔═╡ 0ab2db7b-8a48-4b87-b92a-e27a951368b6
function trait_counts_and_ratios(data)
counts = syntax_counts_map(data)
defs = syntax_count("ImplFor", counts) .+ syntax_count("TraitDef", counts)
uses = syntax_count("WhereClause", counts) .+ syntax_count("TypeImpl", counts) .+ syntax_count("TypeDyn", counts)
totals = defs .+ uses
uses ./ totals, totals
end
# ╔═╡ 6e201044-e9f4-4905-b606-00b6e5132585
crate_count(crate, counts=the_syntax_counts_map) = (get(counts, (crate, syntax), 0) for syntax=syntaxes)
# ╔═╡ 7f82c555-1a9b-400a-814c-7eb1215556a8
@bind the_exclude0 CheckBox(true)
# ╔═╡ a5723518-6e82-4233-86d1-001ed5cbebb4
@bind the_fuzzy CheckBox(true)
# ╔═╡ ec9d3463-e5de-4414-86fd-795644ee8d02
function syntax_counts_and_ratios(data, fuzzy=the_fuzzy, exclude0=the_exclude0)
counts = syntax_counts_map(data)
defs = syntax_count("ImplFor", counts) .+ syntax_count("TraitDef", counts)
uses = syntax_count("WhereClause", counts) .+ syntax_count("TypeImpl", counts) .+ syntax_count("TypeDyn", counts)
for i=1:length(defs)
if exclude0 && defs[i] == 0 && uses[i] == 0
uses[i] = NaN
defs[i] = NaN
end
end
real_totals = defs .+ uses
t = fuzzy ? rand(Float32, length(crates)) : 0.0
s = fuzzy ? 1.0 .- t : 0.0
defs .+= t
uses .+= s
fuzzy_totals = defs .+ uses
uses ./ fuzzy_totals, real_totals
end
# ╔═╡ b591bf54-e903-4e21-aa6e-021892f10424
the_ratios, the_totals = syntax_counts_and_ratios(the_data)
# ╔═╡ bca9c702-6572-40fa-a458-ac5b568f2f87
all_ratios, all_totals = syntax_counts_and_ratios(data_all);
# ╔═╡ 3bb5137a-4957-42fb-8273-50683b56a175
ats_ratios, ats_totals = syntax_counts_and_ratios(data_ats);
# ╔═╡ 81b31100-07ab-4875-9a1b-ab9fbbbfafae
histogram(the_ratios, bins=0.0:0.05:1.0, legend=:none, xaxis="Proportion of bounds and impl/dyn types", title="Histogram of $(crates_desc) by Trait Syntax", fillcolor="#f74c00", fillalpha=0.5)
# ╔═╡ 43e26ef1-2821-4740-9de1-907fac0c2c7e
the_ratios_cdf = ecdf(filter(isfinite, the_ratios));
# ╔═╡ d9965a1e-c57a-4e38-8e69-7e773a81fa5b
all_ratios_cdf = ecdf(filter(isfinite, all_ratios));
# ╔═╡ f6f7392a-8cf5-4ba9-8e49-352536329f9c
ats_ratios_cdf = ecdf(filter(isfinite, ats_ratios));
# ╔═╡ a0e7e0c9-826b-4f47-b496-1c7781e63876
plot([x -> all_ratios_cdf(x) x -> ats_ratios_cdf(x)], 0.0, 1.0, legend=:bottomright, xaxis="Proportion of bounds and impl/dyn types", title="CDF of $(crates_desc) by Trait Syntax", color=["#f74c00" "#01346b"], labels=["All Traits" "With Associated Types Only"])
# ╔═╡ c7b64e8c-b5f4-4dde-9ca2-1c67e7b4a721
histogram([all_ratios ats_ratios], bins=0.0:0.05:1.0, xaxis="Proportion of bounds and impl/dyn types", title="Histogram of $(crates_desc) by Trait Syntax", fillalpha=0.5, fillcolor=["#f74c00" "#01346b"], labels=["All Traits" "With Associated Types Only"])
# ╔═╡ 1df1fd4c-b49d-40b5-85f7-4469b88ca322
scatter(
the_ratios,
log10.(the_totals),
markerstrokewidth=1,
markercolor="#f74c00",
#zcolor=[log10(repo_sizes[crate]) for crate=crates],
ylim = (0, 5),
xlabel="proportion of trait usages (bounds, `impl/dyn Trait` types)",
ylabel="log₁₀ total usages, implementations, and definitons",
legend=:none,
title="$(crates_desc) by Trait Syntax",
size=(800, 800),
markeralpha=0.5,
)
# ╔═╡ 131408f4-de47-46c7-be4f-6f5f40443d61
scatter(
[all_ratios ats_ratios],
[log10.(all_totals) log10.(ats_totals)],
markerstrokewidth=1,
markercolor=["#f74c00" "#01346b"],
#zcolor=[log10(repo_sizes[crate]) for crate=crates],
ylim = (0, 5),
xlabel="proportion of trait usages (bounds, `impl/dyn Trait` types)",
ylabel="log₁₀ total usages, implementations, and definitons",
label=["All Traits" "With Associated Types Only"],
title="$(crates_desc) on GitHub by Trait Syntax",
size=(800, 800),
markeralpha=0.3,
)
# ╔═╡ 88683fb3-f646-40ff-aab0-032c8d9eee0a
reverse(sort(collect(countmap(the_data.trait_name)), by=x->x[2]))
# ╔═╡ 83caf3ef-7144-46a6-8841-99dd3cb11fc3
row_weights = inv.(sum.(crate_count.(the_data.crate_name)) .+ 1)
# ╔═╡ c0398127-788c-4b41-bb8a-9f31fc038bb5
@bind example_count NumberField(1:100, default=25)
# ╔═╡ b00c897c-0953-4015-90ca-37ca27c88e71
example_locations = sample(
the_data.crate_name .* "/" .* the_data.location .=> the_data.syntax,
Weights(row_weights),
example_count
)
# ╔═╡ 3def4263-2625-4464-b6c3-855b9560bdae
begin
example_text = "| syntax | example line |\n| --- | --- |"
for (location, syntax) in example_locations
path, linenum = split(location, ":")
line = readlines("./download/source/" * path)[parse(Int64, linenum)]
example_text *= "\n| $(syntax) | $(line) |"
end
Markdown.parse(example_text)
end
# ╔═╡ c723e712-a04f-4a85-b05b-2f9b885c6111
mean_proportions_table(the_data, :trait_name, :crate_name, range=1:example_count)
# ╔═╡ 9d9cd7db-48bc-4d36-9da6-da44e69555f5
mean_proportions_table(the_data, :syntax, :crate_name)
# ╔═╡ 6deb9122-7f7f-4ed6-8609-36d05ce93876
mean_proportions_table(the_data, :trait_name, :syntax, :crate_name, range=1:example_count)
# ╔═╡ 51e98fdf-160d-4fb8-80bf-d12dea27cabf
mean_proportions_table(the_data, :trait_name, :position, :crate_name, range=1:example_count)
# ╔═╡ e11f54ef-d2c7-4828-8350-774419c29f5c
# mean_proportions_table(the_data, :position, :trait_name)
# ╔═╡ 2c767eac-af9c-4f55-ba9c-8913cb8508b3
mean_proportions_table(the_data, :trait_name, :syntax, nothing, range=1:example_count)
# ╔═╡ 8397957e-bd36-49ae-bc1f-be891e50b89b
mean_proportions_table(the_data, :trait_name, :position, nothing, range=1:example_count)
# ╔═╡ 00000000-0000-0000-0000-000000000001
PLUTO_PROJECT_TOML_CONTENTS = """
[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Glob = "c27321d9-0574-5035-807b-f59d2c89b15c"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
[compat]
CSV = "~0.10.4"
CategoricalArrays = "~0.10.7"
DataFrames = "~1.4.1"
Glob = "~1.3.0"
Plots = "~1.35.4"
PlutoUI = "~0.7.48"
StatsBase = "~0.33.21"
"""
# ╔═╡ 00000000-0000-0000-0000-000000000002
PLUTO_MANIFEST_TOML_CONTENTS = """
# This file is machine-generated - editing it directly is not advised
julia_version = "1.8.2"
manifest_format = "2.0"
project_hash = "cc6c5b0a884f8e1802a8c35766c1f816b9aee2ef"
[[deps.AbstractPlutoDingetjes]]
deps = ["Pkg"]
git-tree-sha1 = "8eaf9f1b4921132a4cff3f36a1d9ba923b14a481"
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version = "1.1.4"
[[deps.ArgTools]]
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[[deps.Base64]]
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[[deps.BitFlags]]
git-tree-sha1 = "84259bb6172806304b9101094a7cc4bc6f56dbc6"
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[[deps.Bzip2_jll]]
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git-tree-sha1 = "19a35467a82e236ff51bc17a3a44b69ef35185a2"
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[[deps.CSV]]
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[[deps.Cairo_jll]]
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[[deps.CategoricalArrays]]
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[[deps.ChangesOfVariables]]
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[[deps.CodecZlib]]
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[[deps.ColorSchemes]]
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[[deps.ColorTypes]]
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[[deps.ColorVectorSpace]]
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[[deps.Colors]]
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[[deps.Compat]]
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[[deps.CompilerSupportLibraries_jll]]
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[[deps.Contour]]
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[[deps.Crayons]]
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[[deps.DataAPI]]
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[[deps.DataFrames]]
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[[deps.DataValueInterfaces]]
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[[deps.Dates]]
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[[deps.DocStringExtensions]]
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[[deps.Downloads]]
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[[deps.FFMPEG_jll]]
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