aviatesk

julia> ] add Revise

julia> using Revise

julia> Revise.track(Core.Compiler)

# typeinf_local(interp::AbstractInterpreter, frame::InferenceState)の1行目に以下の変更を加えてsave
# println(frame.slottypes)

julia> code_typed(use_tvar_info, (Union{Int,Nothing},Int); optimize=false)

aviatesk

# %%
import Base:
    uniontypes,
    get_world_counter,
    _methods_by_ftype

import Core:
    Const,
    MethodMatch,
    MethodInstance

aviatesk

using Dates, DataFrames, Pipe, Plots

df = let 
    ds = DateTime[]
    r = r"# time: (?<datetime>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2})"
    for line in readlines(normpath(homedir(), ".julia/logs/repl_history.jl"))
        m = match(r, line)
        isnothing(m) || push!(ds, DateTime(m[:datetime], dateformat"Y-m-d H:M:S"))
    end
    DataFrame(datetime = ds)

aviatesk

using BenchmarkTools, Cthulhu

f(a, b) = collect(Iterators.flatten((a, b)))

a = rand(10^6)
b = rand(10^6)

@btime f($a, $b) # 14.402 ms (21 allocations: 17.00 MiB)
# @descend f(a, b)
(@code_typed iterate(Iterators.flatten((a,b)))) |> last # ::Union{Nothing, Tuple{Float64, Tuple{Int64, Vector{Float64}, Int64}}} -> unwidened

aviatesk

# %%
using LanguageServer, CSTParser, StaticLint, SymbolServer
using LanguageServer: Range, TextDocumentIdentifier, TextDocumentPositionParams
const LS = LanguageServer
const SS = SymbolServer

server = let
    pi = IOBuffer()
    po = IOBuffer()
    env = normpath(@__DIR__, "..", "scripts", "environments", "development")

aviatesk

using LightGraphs, SparseArrays, GraphPlot


get_adj(g, v) = first(findnz(adjacency_matrix(g)[v, :]))

function dfs(g::AbstractGraph{T}, s::T,
             visited = Set{T}(),
             ret = T[]) where T
    push!.((visited, ret), s)

aviatesk

// maybe handled by other client
s = `
foo [linktext](vscode-command:language-julia.openFile?${JSON.stringify({ file: 'foo', line: 10 })} "footitle")
bar [linktext](vscode-command:language-julia.openFile "bartitle")
`

s.replace(/vscode-command\:(.+)(|\?[\w\:\"\{\}\,]+)/g, (s, cmd, args) => {
  console.log(args)
  return `command:${cmd}${args}`
})

aviatesk

module BQUtils

using CSV
using MacroTools: @>, @>>


struct Query
    s::String
end
Query(q::Query) = q

aviatesk

function decompose_forblk(forblk)
    @assert Meta.isexpr(forblk, :for) "for block expression should be given"
    itrspec, body = forblk.args
    @assert Meta.isexpr(itrspec, :(=)) "invalid for loop specification"
    v, itr = itrspec.args
    return body, v, itr
end

function recompose_to_comprehension(forblk, cond = nothing; gen = false)
    body, v, itr = decompose_forblk(forblk)

aviatesk

# what I will do here:
# - dataframe chain
# - keep to pass dataframe while plotting with `StatsPlots.@df`
# - pass columns names as variables

using DataFrames, Pipe, StatsPlots
theme(:juno)


df = DataFrame(x = randn(100), y = rand(Int, 100))