text:
using JuMP, EAGO

                     m = Model()

                     EAGO.register_eago_operators!(m)

                     @variable(m, -1 <= x[i=1:5] <= 1)

                     @variable(m, -53.467800048111016 <= q <= 50.665869089598125)

                     add_NL_constraint(m, :(swish(-0.14052056007525238 + -0.5593120910347902*swish(0.7927050633346799 + -0.9855209344073468*swish(-0.5279345513587295 + 0.26674570975926315*swish(-0.7911508587829115 + -0.06506911132939441*$(x[1]) + -0.852429148445272*$(x[2]) + 0.9902340539920638*$(x[3]) + -0.5325045469076417*$(x[4]) + 0.16346424911659252*$(x[5])) + 0.6014540451740125*swish(-0.31894961218704987 + -0.02324224975324851*$(x[1]) + -0.016870940285415248*$(x[2]) + 0.446182370860321*$(x[3]) + -0.9288490609590947*$(x[4]) + 0.29295311736763896*$(x[5])) + -0.7842020578742437*swish(-0.4972259981592049 + -0.8938534018236086*$(x[1]) + 0.008380370033680418*$(x[2]) + -0.18784778862206242*$(x[3]) + 0.20554715210351482*$(x[4]) + 0.7932560928666454*$(x[5])) + 0.7348995303901047*swish(-0.6657792028971241 + -0.5409713712241491*$(x[1]) + 0.49245843557230895*$(x[2]) + 0.7906244992303582*$(x[3]) + 0.4705847767166267*$(x[4]) + -0.3481500575812202*$(x[5]))) + -0.8618242155643285*swish(-0.9736042039183683 + -0.3730380073565449*swish(-0.7911508587829115 + -0.06506911132939441*$(x[1]) + -0.852429148445272*$(x[2]) + 0.9902340539920638*$(x[3]) + -0.5325045469076417*$(x[4]) + 0.16346424911659252*$(x[5])) + -0.6111131700945078*swish(-0.31894961218704987 + -0.02324224975324851*$(x[1]) + -0.016870940285415248*$(x[2]) + 0.446182370860321*$(x[3]) + -0.9288490609590947*$(x[4]) + 0.29295311736763896*$(x[5])) + -0.6070668283472709*swish(-0.4972259981592049 + -0.8938534018236086*$(x[1]) + 0.008380370033680418*$(x[2]) + -0.18784778862206242*$(x[3]) + 0.20554715210351482*$(x[4]) + 0.7932560928666454*$(x[5])) + 0.602250903818204*swish(-0.6657792028971241 + -0.5409713712241491*$(x[1]) + 0.49245843557230895*$(x[2]) + 0.7906244992303582*$(x[3]) + 0.4705847767166267*$(x[4]) + -0.3481500575812202*$(x[5]))) + 0.1409847014129051*swish(-0.7008144662498323 + 0.1168473746120049*swish(-0.7911508587829115 + -0.06506911132939441*$(x[1]) + -0.852429148445272*$(x[2]) + 0.9902340539920638*$(x[3]) + -0.5325045469076417*$(x[4]) + 0.16346424911659252*$(x[5])) + 0.28223204928638745*swish(-0.31894961218704987 + -0.02324224975324851*$(x[1]) + -0.016870940285415248*$(x[2]) + 0.446182370860321*$(x[3]) + -0.9288490609590947*$(x[4]) + 0.29295311736763896*$(x[5])) + -0.1750913505933096*swish(-0.4972259981592049 + -0.8938534018236086*$(x[1]) + 0.008380370033680418*$(x[2]) + -0.18784778862206242*$(x[3]) + 0.20554715210351482*$(x[4]) + 0.7932560928666454*$(x[5])) + -0.6765062198397387*swish(-0.6657792028971241 + -0.5409713712241491*$(x[1]) + 0.49245843557230895*$(x[2]) + 0.7906244992303582*$(x[3]) + 0.4705847767166267*$(x[4]) + -0.3481500575812202*$(x[5]))) + -0.8981625305472791*swish(0.7932740070802415 + 0.6457743599334909*swish(-0.7911508587829115 + -0.06506911132939441*$(x[1]) + -0.852429148445272*$(x[2]) + 0.9902340539920638*$(x[3]) + -0.5325045469076417*$(x[4]) + 0.16346424911659252*$(x[5])) + 0.13450970941280982*swish(-0.31894961218704987 + 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0.4705847767166267*$(x[4]) + -0.3481500575812202*$(x[5])))) + -0.8034040228386923*swish(0.8979118028491286 + 0.6794924903988093*swish(-0.5279345513587295 + 0.26674570975926315*swish(-0.7911508587829115 + -0.06506911132939441*$(x[1]) + -0.852429148445272*$(x[2]) + 0.9902340539920638*$(x[3]) + -0.5325045469076417*$(x[4]) + 0.16346424911659252*$(x[5])) + 0.6014540451740125*swish(-0.31894961218704987 + -0.02324224975324851*$(x[1]) + -0.016870940285415248*$(x[2]) + 0.446182370860321*$(x[3]) + -0.9288490609590947*$(x[4]) + 0.29295311736763896*$(x[5])) + -0.7842020578742437*swish(-0.4972259981592049 + -0.8938534018236086*$(x[1]) + 0.008380370033680418*$(x[2]) + -0.18784778862206242*$(x[3]) + 0.20554715210351482*$(x[4]) + 0.7932560928666454*$(x[5])) + 0.7348995303901047*swish(-0.6657792028971241 + -0.5409713712241491*$(x[1]) + 0.49245843557230895*$(x[2]) + 0.7906244992303582*$(x[3]) + 0.4705847767166267*$(x[4]) + -0.3481500575812202*$(x[5]))) + 0.8327554381235851*swish(-0.9736042039183683 + 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-0.8696160844053109*swish(-0.7008144662498323 + 0.1168473746120049*swish(-0.7911508587829115 + -0.06506911132939441*$(x[1]) + -0.852429148445272*$(x[2]) + 0.9902340539920638*$(x[3]) + -0.5325045469076417*$(x[4]) + 0.16346424911659252*$(x[5])) + 0.28223204928638745*swish(-0.31894961218704987 + -0.02324224975324851*$(x[1]) + -0.016870940285415248*$(x[2]) + 0.446182370860321*$(x[3]) + -0.9288490609590947*$(x[4]) + 0.29295311736763896*$(x[5])) + -0.1750913505933096*swish(-0.4972259981592049 + -0.8938534018236086*$(x[1]) + 0.008380370033680418*$(x[2]) + -0.18784778862206242*$(x[3]) + 0.20554715210351482*$(x[4]) + 0.7932560928666454*$(x[5])) + -0.6765062198397387*swish(-0.6657792028971241 + -0.5409713712241491*$(x[1]) + 0.49245843557230895*$(x[2]) + 0.7906244992303582*$(x[3]) + 0.4705847767166267*$(x[4]) + -0.3481500575812202*$(x[5]))) + -0.357347274050821*swish(0.7932740070802415 + 0.6457743599334909*swish(-0.7911508587829115 + -0.06506911132939441*$(x[1]) + -0.852429148445272*$(x[2]) + 0.9902340539920638*$(x[3]) + -0.5325045469076417*$(x[4]) + 0.16346424911659252*$(x[5])) + 0.13450970941280982*swish(-0.31894961218704987 + -0.02324224975324851*$(x[1]) + -0.016870940285415248*$(x[2]) + 0.446182370860321*$(x[3]) + -0.9288490609590947*$(x[4]) + 0.29295311736763896*$(x[5])) + -0.4617332497282156*swish(-0.4972259981592049 + -0.8938534018236086*$(x[1]) + 0.008380370033680418*$(x[2]) + -0.18784778862206242*$(x[3]) + 0.20554715210351482*$(x[4]) + 0.7932560928666454*$(x[5])) + -0.2655397829444155*swish(-0.6657792028971241 + -0.5409713712241491*$(x[1]) + 0.49245843557230895*$(x[2]) + 0.7906244992303582*$(x[3]) + 0.4705847767166267*$(x[4]) + -0.3481500575812202*$(x[5]))))) - $q <= 0.0))

                     @objective(m, Min, q)

                     return m

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text:
#=##############################################################################
# DESCRIPTION
    Creating and postprocessing of observer positions.

# AUTHORSHIP
  * Author    : Eduardo J. Alvarez and Tyler Critchfield
  * Email     : Edo.AlvarezR@gmail.com
  * Created   : Nov 2019
  * License   : MIT
=###############################################################################

"""
    `observer_sphere(R, nR, ntht, nphi; Rmin=0.1, thtmin=5, thtmax=175)`

Returns a spherical grid of observers.

# ARGUMENTS
* `R::Real`                     : Sphere radius.
* `nR::Int`                     : Number of radial sections (give 0 for a hollow
                                    sphere).
* `ntht::Int`                   : Number of the elevation sections.
* `nphi::Int`                   : Number of azimuth sections.

# OPTIONAL ARGUMENTS
* `Rmin::Real`                  : Lower bound of R to mesh (given as a fraction
                                    of R).
* `thtmin::Real`                : Lower bound of elevation to mesh (in degrees).
* `thtmax::Real`                : Upper bound of elevation to mesh (in degrees).
* `phimin::Real`                : Lower bound of azimuth to mesh (in degrees).
* `phimax::Real`                : Upper bound of azimuth to mesh (in degrees).
* `half::Bool`                  : Half or full sphere.
* `C::Array{Real, 1}`           : Center [x,y,z] of the sphere.
* `rotation::Array{Real, 1}`    : Rotation of sphere (in degrees) about x, y,
                                    and z axes.
* `save_path::String`           : Saves the sphere to a this path.
* `file_name::String`           : Name of file when saving sphere.
* `fmt::String`                 : Format of the file when saving. Options:
                                    "plot3d", "vtk".

# NOTES
* Elevation angles go from 0 to 180, meanwhile azimuth angles go from 0 to 360.
* To generate a half sphere use `phimax=180`.
* Give `nphi=2*ntht` to get cells of aspect ratio 1.
* A circular line (instead of a spherical surface/volume) can be generated with
    `nphi=0` and `nR=0`. This will return a circular line laying on the
    zx-plane. Use `C` and `rotation` to translate a rotate the line.
"""
function observer_sphere(R::Real, nR::Int, ntht::Int, nphi::Int;
                            Rmin::Real=0.1,
                            thtmin=5, thtmax=175,
                            phimin=0, phimax=360,
                            C::Array{T1, 1}=zeros(3),
                            rotation::Array{T2, 1}=zeros(3),
                            save_path::Union{Nothing, String}=nothing,
                            file_name::String="sphere",
                            fmt::String="vtk"
                         ) where {T1<:Real, T2<:Real}

    P_min = [pi/180*thtmin, pi/180*phimin, R*Rmin] # Lower bound (theta, phi, r)
    P_max = [pi/180*thtmax, pi/180*phimax, R]   # Upper bound (theta, phi, r)
    NDIVS = [ntht, nphi, nR]                    # Number of divisions (cells)
                                                #  of (theta, phi, r)

    # Case that grid is a circular line
    if nphi==0 && nR==0
        P_min[3] = P_max[3]
        P_min[2] = P_max[2]
        loop_dim = Int(P_min[1]==0 && P_max[1]==2*pi) # Coordinate to loop (0==no looping)

    else

        if NDIVS[3]==0; P_min[3]=P_max[3]; end;
        loop_dim = 2*Int(P_min[2]==0 && P_max[2]==2*pi) # Coordinate to loop (0==no looping)

    end

    # Generates parametric (theta, phi, r) grid
    grid = gt.Grid(P_min, P_max, NDIVS, loop_dim)

    # Transforms the grid into a spherical cartesian space
    my_transform(X) = gt.spherical3D(vcat(X[3], X[1:2]))

    # Rotate and translate the sphere
    rotM = gt.rotation_matrix2(rotation...)
    my_transform2(X) = rotM*my_transform(X) + C

    # Apply transformation
    gt.transform!(grid, my_transform2)

    if save_path!=nothing
        if fmt=="plot3d"
            # Create .xyz file
            gt.generatePLOT3D(grid, file_name; path=save_path, trickwopwop=true)
        elseif fmt=="vtk"
            # Create .vtk file
            gt.save(grid, file_name; path=save_path)
        else
            error("Invalid file format $fmt.")
        end
    end

    return grid
end

ext: jl

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text:
@testset "Mesh" begin
    using jFEMTools
    import Tensors
    jF = jFEMTools
    geometry = Dict((2,0) => jF.MeshConectivity((1,2,3,2,4,3),(1,4,7)))
    mesh2 = jF.PolytopalMesh2((4,5,2),[Tensors.Vec{2}((0.0,0.0)),Tensors.Vec{2}((1.,0.)),Tensors.Vec{2}((0.,1.)),Tensors.Vec{2}((1.,1.))],
            geometry,Dict{Int,Dict{String,Set{NTuple{2,Int}}}}())

    mesh = unitSquareMesh(TriangleCell, (1,1));

    #Tests
    jF.get_connectivity!(mesh2,2,2);
    jF.get_connectivity!(mesh2,2,1);
    jF.get_connectivity!(mesh2,1,2);
    jF.get_connectivity!(mesh2,1,0);
    jF.get_connectivity!(mesh2,0,1);

    @test all(Set(x) in [Set((1,2,3)),Set((2,3,4))] for x in jF._unpack_connectivity(mesh2.geometry[(2,0)]))
    @test all(Set(x) in [Set((1,2,3)),Set((2,4,5))] for x in jF._unpack_connectivity(mesh2.geometry[(2,1)]))
    @test all(Set(x) in [Set((2)),Set((1))] for x in jF._unpack_connectivity(mesh2.geometry[(2,2)]))
    @test all(Set(x) in [Set((1,2)),Set((2,3)),Set((3,1)),Set((3,4)),Set((4,2))] for x in jF._unpack_connectivity(mesh2.geometry[(1,0)]))
    @test all(Set(x) in [Set((1,3)),Set((1,2,4)),Set((3,2,5)),Set((4,5))] for x in jF._unpack_connectivity(mesh2.geometry[(0,1)]))

    # Operations
    @test jF.cell_volume(mesh,1) == 0.5
    @test jF.cell_volume(mesh2,1) == 0.5
    @test jF.cell_centroid(mesh,2) ≈ Tensors.Vec{2}((2/3,2/3))
    @test jF.cell_centroid(mesh2,2) ≈ Tensors.Vec{2}((2/3,2/3))
    @test jF.cell_diameter(mesh,1) ≈ sqrt(2)
    @test jF.cell_diameter(mesh2,1) ≈ sqrt(2)
end

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text:
"""
DomainGistry - Domain Name Generation Package

#Usage

```julia-repl
using DomainGistry
```
# or after downloading the github repository
```julia-repl
include("DomainGistry.jl)
```

```julia-repl
DomainGistry.generate("example","common")
```

"""
module DomainGistry
export generate,getnew,getcommon,getextra,getprefix,getsuffix,getshuffled

# Data
new_domain = ["app","site","online","xyz","tech","shop","blog","space","live","life","website","news","ninja","solutions","expert","services","media","rocks","company","guru","club","today","agency","technology","tips","center","link","click","ltd","win","work"]
common_domain = ["com","edu","net","org","site","co","io","ai","app","ca","uk","ua","us","ru","ch"]
extra_domain =["asia","africa","us","me","biz","info","name","mobi","cc","tv","ly","tk","ml","it","to","eu","ch","online"]
prefix_domain = ["a","i","e","the","my","me","we","top","best","get","co","nu","up","new","live","bestof","meta","just","99","101","insta","try","hit","go","re","dr","mr","bit","net","hot","beta","you","our","x","buy","for","pro","ez","on","v","hd","max","digi","free","very","all","easy","cool","air","next","find","uber",]
suffix_domain = ["online.com","world.com","io.com","me.com","you.com","up.com","new.com","blog.com","web.com","hd.com","hq.com","tip.com","tips.com","guru.com","link.com","sumo.com","mob.com","lab.com","labs.com","list.com","info.com","jar.com","egg.com","site.com","app.com","apps.com","net.com","inc.com","247.com","360.com","24x7.com","corp.com","page.com","llc.com","now.com","all.com","box.com","base.com","zone.com","zoom.com","bit.com","bits.com","byte.com","bros.com","cart.com","sale.com","shop.com","store.com","free.com","soft.com","101.com","center.com","pro.com","pros.com","co.com","space.com","hub.com","spot.com","ware.com","talk.com","place.com","kit.com","pad.com","tool.com","bot.com","bots.com","bee.com","doc.com",".com","al.com","ity.com","iput.com","ally.com","ality.com","alness.com","ipital.com"]

"""
Generate Domain Names Using Specified Category [common,new,extra,prefix,suffix]

```julia-repl
include("DomainGistry.jl")
```
# or
```julia-repl
using DomainGistry
```

```julia-repl
DomainGistry.generate("example","common")
```
"""
function generate(name::AbstractString,category::AbstractString="common")
	new_name = join(split(lowercase(name)," "),"")
	if category == "new"
		result = ["$new_name.$i" for i in new_domain]
	elseif category == "common"
		result = ["$new_name.$i" for i in common_domain]
	elseif category == "extra"
		result = ["$new_name.$i" for i in extra_domain]
	elseif category =="prefix"
		result = ["$i$new_name.com" for i in prefix_domain]
	elseif category == "suffix"
		result = ["$new_name$i" for i in suffix_domain]
	else
		result = ["$new_name.$i" for i in common_domain]
	end

	return result

end

"""
 Get New Domain Names eg [example.app,example.tech]

"""
function getnew(name::AbstractString)
	new_name = join(split(lowercase(name)," "),"")
	result = ["$new_name.$i" for i in new_domain]
	return result

end

"""
 Get Common Domain Names eg [com,org,net]

"""
function getcommon(name::AbstractString)
	new_name = join(split(lowercase(name)," "),"")
	result = ["$new_name.$i" for i in common_domain]
	return result

end

"""
 Get Extra Domain Names eg [example.asia,example.ru]

"""
function getextra(name::AbstractString)
	new_name = join(split(lowercase(name)," "),"")
	result = ["$new_name.$i" for i in extra_domain]
	return result

end

"""
 Get Prefix Domain Names eg [topexample.com,theexample.com]

"""
function getprefix(name::AbstractString)
	new_name = join(split(lowercase(name)," "),"")
	result = ["$i$new_name.com" for i in prefix_domain]
	return result

end

"""
 Get New Domain Names eg [examplify.com,exampleonline.com]

"""
function getsuffix(name::AbstractString)
	new_name = join(split(lowercase(name)," "),"")
	result = ["$new_name$i" for i in suffix_domain]
	return result

end

"""
 Get Shuffled Domain Names

"""
function getshuffled(name::AbstractString)
	new_word = split(lowercase(name)," ")
	if length(new_word) == 2
		first_text = new_word[1]
		last_text = new_word[2]
		new_name = "$last_text$first_text"
	elseif length(new_word) == 3
		first_text = new_word[1]
		mid_text = new_word[2]
		last_text = new_word[3]
		new_name = "$last_text$first_text$mid_text"
	end
	result = ["$new_name.$i" for i in common_domain]
	return result

end

end


text:
ENV["MPLBACKEND"]="agg"
using Documenter, SimplexGridFactory, ExtendableGrids, Literate, PyPlot
using GridVisualize

example_md_dir  = joinpath(@__DIR__,"src","examples")

examples2d=joinpath(@__DIR__,"..","examples","examples2d.jl")
include(examples2d)

examples3d=joinpath(@__DIR__,"..","examples","examples3d.jl")
include(examples3d)

zzaccessing=joinpath(@__DIR__,"..","examples","zzaccessing.jl")

function makeplots(picdir)
    clf()
    builderplot(triangulation_of_domain(), Plotter=PyPlot)
    savefig(joinpath(picdir,"triangulation_of_domain.svg"))

    clf()
    builderplot(nicer_triangulation_of_domain(), Plotter=PyPlot)
    savefig(joinpath(picdir,"nicer_triangulation_of_domain.svg"))

    clf()
    builderplot(triangulation_of_domain_with_subregions(), Plotter=PyPlot)
    savefig(joinpath(picdir,"triangulation_of_domain_with_subregions.svg"))

    clf()
    builderplot(square_localref(), Plotter=PyPlot)
    savefig(joinpath(picdir,"square_localref.svg"))

    clf()
    gridplot(direct_square(), Plotter=PyPlot)
    savefig(joinpath(picdir,"direct_square.svg"))

    clf()
    builderplot(swiss_cheese_2d(), Plotter=PyPlot)
    savefig(joinpath(picdir,"swiss_cheese_2d.svg"))

    clf()
    builderplot(swiss_cheese_2d(), Plotter=PyPlot)
    savefig(joinpath(picdir,"swiss_cheese_2d.svg"))

    clf()
    gridplot(tetrahedralization_of_cube(), Plotter=PyPlot, zplane=0.5)
    savefig(joinpath(picdir,"tetrahedralization_of_cube.svg"))

    clf()
    gridplot(tet_cube_with_primitives(), Plotter=PyPlot, zplane=5, azim=47, elev=80, interior=false)
    savefig(joinpath(picdir,"tet_cube_with_primitives.svg"))

end

function mkdocs()

    generated_examples=[]
    for example ∈ [examples2d,examples3d,zzaccessing]
        Literate.markdown(example,
                          example_md_dir,
                          documenter=false,
                          info=false)
    end

    generated_examples=joinpath.("examples",filter(x->endswith(x, ".md"),readdir(example_md_dir)))
    push!(generated_examples,"pluto.md")
    makeplots(example_md_dir)

    makedocs(sitename="SimplexGridFactory.jl",
             modules = [SimplexGridFactory],
             doctest = false,
             clean = false,
             authors = "J. Fuhrmann, Ch. Merdon",
             repo="https://github.com/j-fu/SimplexGridFactory.jl",
             pages=[
                 "Home"=>"index.md",
                 "API"=>"api.md",
                 "Examples" => generated_examples,
                 "Internals"=>"internals.md",
                 "allindex.md",
             ])
    @show generated_examples
end

mkdocs()

deploydocs(repo = "github.com/j-fu/SimplexGridFactory.jl.git")


text:
#! /usr/bin/env julia --project --color=yes

using Base.Filesystem

docsDir = abspath(dirname(@__FILE__))
baseDir = abspath(joinpath(docsDir, "../"))

if !in(LOAD_PATH,baseDir)
  push!(LOAD_PATH,baseDir)
end

using Documenter, RxJulia

makedocs(
  sitename="RxJulia.jl"
  )


text:
__precompile__(true)
module ShortStrings

using SortingAlgorithms
export ShortString, ShortString15, ShortString7, ShortString3, fsort, fsort!,
       @ss15_str, @ss7_str, @ss3_str

import Base:unsafe_getindex, ==

struct ShortString{T} <: AbstractString where T
    size_content::T
end

function ShortString{T}(s::String) where T
    sz = sizeof(s)
    if sz > sizeof(T) - 1 # the last byte is used to store the length
        throw(ErrorException("sizeof(::ShortString) must be shorter than or equal to $(sizeof(T) - 1) in length; you have supplied a string of size $sz"))
    end
    bits_to_wipe = 8(sizeof(T) - sz)
    content = (T(s |> pointer |> Ptr{T} |> Base.unsafe_load |> ntoh) >> bits_to_wipe) << bits_to_wipe
    ShortString{T}(content | T(sz))
end

String(s::ShortString) = String(reinterpret(UInt8, [s.size_content|>ntoh])[1:sizeof(s)])

Base.lastindex(s::ShortString) = Int(s.size_content & 0xf)
Base.iterate(s::ShortString, i::Integer) = iterate(String(s), i)
Base.iterate(s::ShortString) = iterate(String(s))
Base.sizeof(s::ShortString) = Int(s.size_content & 0xf)
Base.print(s::ShortString) = print(String(s))
Base.display(s::ShortString) = display(String(s))
Base.convert(::ShortString{T}, s::String) where T = ShortString{T}(s)
Base.convert(::String, ss::ShortString) = String(a) #reduce(*, ss)
Base.firstindex(::ShortString) = 1
Base.ncodeunits(s::ShortString) = ncodeunits(String(s))
Base.codeunit(s::ShortString, i) = codeunits(String(s), i)
Base.isvalid(s::ShortString, i::Integer) = isvalid(String(s), i)

Base.getindex(s::ShortString{T}, i::Integer) where T = begin
    print(i)
    Char((s.size_content << 8(i-1)) >> 8(sizeof(T)-1))
end
Base.collect(s::ShortString) = getindex.(s, 1:lastindex(s))

==(s::ShortString, b::String) = begin
    String(s)  == b
end

size_content(s::ShortString) = s.size_content

const ShortString15 = ShortString{UInt128}
const ShortString7 = ShortString{UInt64}
const ShortString3 = ShortString{UInt32}

# ss15"ShortString15"
macro ss15_str(s)
    :(ShortString15($s))
end

# ss7"Short7"
macro ss7_str(s)
    :(ShortString7($s))
end

# ss3"ss3"
macro ss3_str(s)
    :(ShortString3($s))
end

fsort(v::Vector{ShortString{T}}; rev = false) where T = sort(v, rev = rev, by = size_content, alg = RadixSort)
fsort!(v::Vector{ShortString{T}}; rev = false) where T = sort!(v, rev = rev, by = size_content, alg = RadixSort)

fsortperm(v::Vector{ShortString{T}}; rev = false) where T = sortperm(v, rev = rev)

end # module


text:
function solve()
    x = parse(Int, readline())
    sol = 0
    deposit = 100
    while deposit < x
        sol += 1
        deposit += deposit ÷ 100
    end
    sol
end

println(solve())

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text:
module TestControls

using Test
using MLJSerialization
using MLJBase
using IterationControl
const IC = IterationControl

using ..DummyModel

@testset "Save" begin
    X, y = make_dummy(N=8);
    @test_throws Exception Save(filename="myfile.jlso")
    c = Save("serialization_test.jlso")
    m = machine(DummyIterativeModel(n=2), X, y)
    fit!(m, verbosity=0)
    state = @test_logs((:info, "Saving \"serialization_test1.jlso\". "),
                       IC.update!(c, m, 2, 1))
    @test state.filenumber == 1
    m.model.n = 5
    fit!(m, verbosity=0)
    state = IC.update!(c, m, 0, 2, state)
    @test state.filenumber == 2
    yhat = predict(IC.expose(m), X);

    deserialized_mach = MLJBase.machine("serialization_test2.jlso")
    yhat2 = predict(deserialized_mach, X)
    @test yhat2 ≈ yhat

    train_mach = machine(DummyIterativeModel(n=5), X, y)
    fit!(train_mach, verbosity=0)
    @test yhat ≈ predict(train_mach, X)
end

end

true


text:
using Plots
import Base.Iterators: countfrom

function SIR_simulation(population_size, infection_probability)
    statuses = fill("susceptible", population_size, 1)
    statuses[1, 1] = "infectious"
    transmissions = []
    for t in countfrom(2)
        n_infectious = sum(statuses[:, t-1] .== "infectious")
        if n_infectious == 0
            break
        end
        statuses = [statuses fill("susceptible", population_size)]
        for k in 1:population_size
            if statuses[k, t-1] == "recovered" || statuses[k, t-1] == "infectious"
                statuses[k, t] = "recovered"
            end
        end
        for j in 1:population_size
            if statuses[j, t-1] == "infectious"
                for k in 1:population_size
                    if statuses[k, t-1] == "susceptible"
                        if rand() < infection_probability
                            push!(transmissions, [(j, t-1),(k, t)])
                            statuses[k, t] = "infectious"
                        end
                    end
                end
            end
        end
    end
    statuses, transmissions
end

max_stars_repo_name: data-gymnasia/julia-binder

max_issues_repo_name: data-gymnasia/julia-binder

max_forks_repo_name: data-gymnasia/julia-binder


text:
# # Series Recipes

@nospecialize

"""
    _process_seriesrecipes!(plt, kw_list)

Recursively apply series recipes until the backend supports the seriestype
"""
function _process_seriesrecipes!(plt, kw_list)
    for kw in kw_list
        # in series attributes given as vector with one element per series,
        # select the value for current series
        slice_series_attributes!(plt, kw_list, kw)
    end
    process_sliced_series_attributes!(plt, kw_list)
    for kw in kw_list
        series_attr = DefaultsDict(kw, series_defaults(plt))
        # now we have a fully specified series, with colors chosen. we must recursively
        # handle series recipes, which dispatch on seriestype. If a backend does not
        # natively support a seriestype, we check for a recipe that will convert that
        # series type into one made up of lower-level components.
        # For example, a histogram is just a bar plot with binned data, a bar plot is
        # really a filled step plot, and a step plot is really just a path. So any backend
        # that supports drawing a path will implicitly be able to support step, bar, and
        # histogram plots (and any recipes that use those components).
        _process_seriesrecipe(plt, series_attr)
    end
end

# this method recursively applies series recipes when the seriestype is not supported
# natively by the backend
function _process_seriesrecipe(plt, plotattributes)
    # replace seriestype aliases
    st = Symbol(plotattributes[:seriestype])
    st = plotattributes[:seriestype] = type_alias(plt, st)

    # shapes shouldn't have fillrange set
    if plotattributes[:seriestype] == :shape
        plotattributes[:fillrange] = nothing
    end

    # if it's natively supported, finalize processing and pass along to the backend,
    # otherwise recurse
    if is_seriestype_supported(plt, st)
        add_series!(plt, plotattributes)
    else
        # get a sub list of series for this seriestype
        x, y, z = plotattributes[:x], plotattributes[:y], plotattributes[:z]
        datalist = RecipesBase.apply_recipe(plotattributes, Val{st}, x, y, z)
        warn_on_recipe_aliases!(plt, datalist, :series, st)

        # assuming there was no error, recursively apply the series recipes
        for data in datalist
            if isa(data, RecipeData)
                preprocess_attributes!(plt, data.plotattributes)
                if data.plotattributes[:seriestype] == st
                    error("The seriestype didn't change in series recipe $st. This will cause a StackOverflow.")
                end
                _process_seriesrecipe(plt, data.plotattributes)
            else
                @warn("Unhandled recipe: $(data)")
                break
            end
        end
    end
    nothing
end

@specialize