carlobaldassi

abind 0.1.3 R 
abind 0.1.4 R 0.1.0
abind 0.1.5 R 0.1.0
abind 0.1.6 R 0.1.0
abind 0.1.7 R 0.3.0
AcceptanceSampling 1.2.0 R 0.1.0 1.0.0
AcceptanceSampling 1.3.0 R 0.1.0 1.0.0
aCGH.Spline 1.1.0 rJava 
aCGH.Spline 1.1.1 rJava 
aCGH.Spline 1.1.2 rJava 0.1.0

carlobaldassi

require("pkg")

myresolve() = Pkg.cd_pkgdir() do
    have = (String=>ASCIIString)[]
    reqs = Metadata.parse_requires("REQUIRE")
    Git.each_submodule(false) do pkg, path, sha1
        if pkg != "METADATA"
            have[pkg] = sha1
        end
    end

carlobaldassi

# example 6: commands & subtables

require("argparse.jl")
import ArgParse.*

function main(args)

    s = ArgParseSettings("argparse_example_6.jl",
                         "Example 6 for argparse.jl: " *
                         "commands and their associated subtables.")

carlobaldassi

dl = [-0.654981,  -0.93716 , -0.459534,  -0.0961306]
d = [1.03823,  1.00984,  1.30874 , 1.23003 , 1.98585]
v = [0.878788, 0.550649, 1.32675, -0.0301826, -0.48512]

# lines 174-178 of test/lapack.jl
Ts = Tridiagonal(dl,d,dl)
Fs = full(Ts)
invFsv = Fs\v
Tldlt = ldlt(Ts)
x = Tldlt\v

carlobaldassi

@add_arg_table (macro version)

Uses an internal parser to read settings in the cleanest possible way.

Example:

s = ArgParseSettings()
                                                        

carlobaldassi

# example 1: minimal options/arguments, auto-generated help/version

require("argparse.jl")
import ArgParse.*

function main(args)

    s = ArgParseSettings()

    s.prog = "argparse_example_1.jl"  # program name (for usage & help screen)

carlobaldassi

require("textwrap.jl")

import TextWrap.*
import OptionsMod.*

text = "Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library."

println("DEFAULT OPTIONS")
println("-"^70)
println_wrapped(text)

carlobaldassi

load("fft_powers.jl")
@assert fft_powers_approx([2,3,5], 37) == 40
@assert nextprod([2,3,5], 37) == 40

function bench_nextprod(ps, x)
    tm = 1000
    t = Array(Float64, tm)
    for i = 1:tm
        t[i] = @elapsed nextprod(ps, x)
    end

carlobaldassi

julia> load("flatten1d.jl")

julia> a = [[randi(3) for k=1:3] for i=1:3, j=1:2]
3x2 Array{Int64,1} Array:
 [3, 1, 2]  [1, 3, 3]
 [1, 1, 3]  [2, 3, 3]
 [3, 1, 3]  [3, 2, 2]

julia> flatten1d(a)
18-element Int64 Array:

carlobaldassi

typealias MatOrNothing{T} Union(AbstractMatrix{T}, Vector{None}, Nothing)

my_func{T}(A::MatOrNothing{T}) = println("my_func ok")

M = [1. 2. ; 3. 4.]

my_func(M) # works
my_func([]) # works
my_func(nothing) # fails