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{
"metadata": {
"language": "Julia",
"name": "London jlUG Mar 2014"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": "# <center><img src=\"http://www.sengupta.net/images/julia_logo.png\" width=\"250\" alt=\"Julia\"/></center>\n## <center>Julia : The Power of Multiple Dispatch</center>"
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": "<center><img src=\"http://www.sengupta.net/images/languages.png\" alt=\"technical computing systems\" width=\"60%\"/></center>"
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": "### What is a numerical language?\n\n- Obviously, it's one that specializes in numerical work.\n\nBut specialisation means different things\n\n- **Matlab**\n - originally, everything was a matrix of complex doubles\n - everything else has been extended from that\n- **R**\n - data frames as basic type\n - support for \"NA\" values everywhere\n- **Mathematica**\n - symbolic evaluation semantics\n\nEvery system picks its own angle/niche to specialize."
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": "### Julia does NOT have a numerical speciality\n\n- instead, it is designed so you can *define numeric types and their behaviors yourself*"
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": "## Design Overview\n\n- high-level & **dynamic**\n- expressive **type-system**\n - parametric, dependent, invariant\n - concrete types are final\n - but extensive hierarchy of abstract supertypes\n - lots of generic programming with abstract types\n - **unobtrusive** \u2013\u00a0don't need to mention types\n- ubiquitous **multiple dispatch**\n - everything is a generic function\n - even really basic, performance-cricical functions\n - diagonal dispatch\n- metaprogramming\n - **homoiconic:** code represented as `Expr` & `Symbol` objects, etc.\n - can be constructed, manipulated, eval'd\n - **macros:** `@time sleep(1)`\n- concurrency & parallelism\n - lightweight **coroutine**-based I/O\n - distributed global address space\n - easy run code on a cluster of instances\n - first-class **remote references**\n"
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": "#Syntax Basics"
},
{
"cell_type": "code",
"collapsed": false,
"input": "function fib(n) \n if n < 2 \n return n\n else\n return fib(n-1) + fib(n-2)\n end\nend",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 1,
"text": "fib (generic function with 1 method)"
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": "fib(n) = n < 2 ? n : fib(n - 1) + fib(n - 2)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 2,
"text": "fib (generic function with 1 method)"
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": "fib(30)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 53,
"text": "832040"
}
],
"prompt_number": 53
},
{
"cell_type": "code",
"collapsed": false,
"input": "@time fib(26)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "elapsed time: 0."
},
{
"output_type": "stream",
"stream": "stdout",
"text": "006557479 seconds (64 bytes allocated)\n"
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 51,
"text": "121393"
}
],
"prompt_number": 51
},
{
"cell_type": "code",
"collapsed": false,
"input": "A = randn(10,10)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 5,
"text": "10x10 Array{Float64,2}:\n -1.30976 -1.24665 -1.98481 \u2026 1.8024 0.972884 2.22496 \n -1.73245 -1.06488 0.131453 -0.26486 1.31325 0.509545 \n 0.68138 0.840067 -0.317617 0.206785 0.108507 -0.409318 \n 0.219705 -0.924119 1.7471 0.856954 -0.59808 1.33977 \n -0.813242 -1.07687 -0.750896 0.423604 -0.522527 -0.225528 \n 0.793055 -2.54525 0.557789 \u2026 1.22375 -0.146579 -0.0398623\n -0.309985 0.152875 -0.895848 1.41556 -0.894667 -0.783496 \n -0.4108 -0.223782 -0.600858 -0.503635 0.757326 0.356692 \n -0.749092 0.578509 -0.153763 -0.2358 1.58472 0.873386 \n -0.0380719 0.434442 0.996071 -1.0903 0.862904 -0.414622 "
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": "b = randn(10,10)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 6,
"text": "10x10 Array{Float64,2}:\n 0.497573 -1.16141 -0.623559 \u2026 -0.405122 -0.408625 0.778652 \n -0.0733248 0.500723 0.0851337 0.12818 0.423034 -0.179 \n -0.304402 1.17565 -1.15891 -0.301865 -0.677907 0.0910984\n 0.551543 -0.821189 1.12574 -0.292132 -1.35895 -0.866446 \n 2.02635 -0.584961 0.610451 0.218641 0.671659 1.04507 \n 0.335287 -0.820849 -0.446622 \u2026 -0.170684 1.40318 -1.51586 \n -1.19941 1.61175 0.293387 0.0950038 1.51991 0.382434 \n 2.0922 0.845295 0.158825 -1.6935 -0.844484 0.460787 \n -1.17735 0.509996 0.600545 0.733072 0.142897 -0.514896 \n -1.4766 0.0797037 0.200661 -1.44351 -1.02833 -0.345725 "
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": "x = A \\ b",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": "10x10 Array{Float64,2}:\n -0.387223 -0.969381 -0.364462 \u2026 0.727768 0.535889 -0.654995\n 20.1103 13.7354 -13.0452 -13.3273 -21.0828 7.63941 \n 3.79951 3.27369 -2.4064 -2.42035 -4.36997 0.899417\n -12.6121 -7.63838 7.54477 8.02675 12.319 -4.51312 \n 2.41019 0.864194 0.171613 -2.09304 -2.15821 0.925504\n -0.0433425 -0.713409 0.907706 \u2026 1.51948 1.0485 -0.231239\n -5.03231 -2.7277 3.74034 3.36796 5.6027 -2.1193 \n 13.5295 10.4981 -9.59809 -9.56239 -14.2715 4.83205 \n 12.2784 9.08601 -8.53129 -8.78272 -12.7905 4.04945 \n 4.63908 1.46401 -2.22968 -2.46468 -4.65656 1.51594 "
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": "A*x - b",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 8,
"text": "10x10 Array{Float64,2}:\n -4.77396e-15 4.21885e-15 1.22125e-15 \u2026 1.81521e-14 -3.9968e-15 \n -1.27676e-15 -1.11022e-16 -2.35922e-16 -1.33227e-15 1.94289e-16\n 5.4956e-15 4.44089e-16 2.88658e-15 3.33067e-15 1.19349e-15\n 5.66214e-15 1.22125e-15 5.55112e-15 -2.22045e-15 -1.33227e-15\n -1.06581e-14 1.11022e-15 -4.44089e-15 -3.66374e-15 -4.44089e-16\n -1.05471e-14 1.11022e-15 4.44089e-16 \u2026 -4.21885e-15 3.33067e-15\n -1.9984e-15 -3.10862e-15 -1.33227e-15 2.66454e-15 -2.22045e-15\n -4.88498e-15 2.22045e-16 -2.88658e-15 -7.10543e-15 3.88578e-16\n 4.21885e-15 4.21885e-15 2.88658e-15 9.40914e-15 -1.22125e-15\n 5.9952e-15 2.02616e-15 -8.32667e-17 -8.65974e-15 8.32667e-16"
}
],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": "eps()",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 9,
"text": "2.220446049250313e-16"
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": "round(A*x-b, 12)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": "10x10 Array{Float64,2}:\n -0.0 0.0 0.0 -0.0 0.0 -0.0 -0.0 -0.0 0.0 -0.0\n -0.0 -0.0 -0.0 0.0 -0.0 -0.0 -0.0 0.0 -0.0 0.0\n 0.0 0.0 0.0 -0.0 -0.0 0.0 0.0 0.0 0.0 0.0\n 0.0 0.0 0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 -0.0\n -0.0 0.0 -0.0 0.0 -0.0 0.0 -0.0 -0.0 -0.0 -0.0\n -0.0 0.0 0.0 -0.0 0.0 0.0 0.0 0.0 -0.0 0.0\n -0.0 -0.0 -0.0 0.0 -0.0 -0.0 -0.0 -0.0 0.0 -0.0\n -0.0 0.0 -0.0 0.0 -0.0 -0.0 -0.0 -0.0 -0.0 0.0\n 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -0.0\n 0.0 0.0 -0.0 -0.0 0.0 0.0 -0.0 0.0 -0.0 0.0"
}
],
"prompt_number": 10
},
{
"cell_type": "code",
"collapsed": false,
"input": "fft(A)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 11,
"text": "10x10 Array{Complex{Float64},2}:\n 3.05301+0.0im -7.12504+9.72478im \u2026 -7.12504-9.72478im\n 9.83729+3.78063im 3.85146-7.76011im 1.60801+6.18073im\n -12.6461+1.77685im 2.93565+13.769im -8.0573-7.12585im\n -0.509551+7.44926im 7.97449+8.8103im -13.9814-1.56542im\n 6.99391-6.73352im 0.207496+8.01103im 1.95074-4.46963im\n 8.51634+0.0im -8.42778+0.469558im \u2026 -8.42778-0.469558im\n 6.99391+6.73352im 1.95074+4.46963im 0.207496-8.01103im\n -0.509551-7.44926im -13.9814+1.56542im 7.97449-8.8103im\n -12.6461-1.77685im -8.0573+7.12585im 2.93565-13.769im\n 9.83729-3.78063im 1.60801-6.18073im 3.85146+7.76011im"
}
],
"prompt_number": 11
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": "#Multiple Dispatch\n\n##Basic Dispatch"
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(a, b) = \"fallback\"\nf(a::Number, b::Number) = \"a and b are both numbers\"\nf(a::Number, b) = \"a is a number\"\nf(a, b::Number) = \"b is a number\"\nf(a::Integer, b::Integer) = \"a and b are both integers\"",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 12,
"text": "f (generic function with 5 methods)"
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(1.5,2)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 13,
"text": "\"a and b are both numbers\""
}
],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(1, \"bar\")",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": "\"a is a number\""
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(1,2)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": "\"a and b are both integers\""
}
],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(\"foo\", [1,2])",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 16,
"text": "\"fallback\""
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": "methods(f)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"html": "5 methods for generic function <b>f</b>:<ul><li> f(a::<b>Integer</b>,b::<b>Integer</b>) at In[12]:5<li> f(a::<b>Number</b>,b::<b>Number</b>) at In[12]:2<li> f(a::<b>Number</b>,b) at In[12]:3<li> f(a,b::<b>Number</b>) at In[12]:4<li> f(a,b) at In[12]:1</ul>",
"metadata": {},
"output_type": "pyout",
"prompt_number": 17,
"text": "# 5 methods for generic function \"f\":\nf(a::Integer,b::Integer) at In[12]:5\nf(a::Number,b::Number) at In[12]:2\nf(a::Number,b) at In[12]:3\nf(a,b::Number) at In[12]:4\nf(a,b) at In[12]:1"
}
],
"prompt_number": 17
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": "##Diagonal dispatch"
},
{
"cell_type": "code",
"collapsed": false,
"input": "f{T<:Number}(a::T, b::T) = \"a and b are both $(T)s\"",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 18,
"text": "f (generic function with 6 methods)"
}
],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(big(1.5),big(2.5))",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 19,
"text": "\"a and b are both BigFloats\""
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(big(1),big(2)) #<== integer rule is more specific",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 20,
"text": "\"a and b are both integers\""
}
],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(\"foo\",\"bar\") #<== still doesn't apply to non-numbers",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 21,
"text": "\"fallback\""
}
],
"prompt_number": 21
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": "## Varargs Methods"
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(args::Number...) = \"$(length(args))-ary heterogeneous call\"\nf{T<:Number}(args::T...) = \"$(length(args))-ary homogeneous call\"",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 22,
"text": "f (generic function with 8 methods)"
}
],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(1)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 23,
"text": "\"1-ary homogeneous call\""
}
],
"prompt_number": 23
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(1,2,3)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 24,
"text": "\"3-ary homogeneous call\""
}
],
"prompt_number": 24
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(1,1.5,2)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 25,
"text": "\"3-ary heterogeneous call\""
}
],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": "f() #==> heterogeneous because we can't bind T",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 26,
"text": "\"0-ary heterogeneous call\""
}
],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(1,2) #<== previous 2-arg method is more specific",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 27,
"text": "\"a and b are both integers\""
}
],
"prompt_number": 27
},
{
"cell_type": "code",
"collapsed": false,
"input": "f(\"foo\") #<== doesn't apply to non-numbers",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"ename": "LoadError",
"evalue": "no method f(ASCIIString)\nwhile loading In[28], in expression starting on line 1",
"output_type": "pyerr",
"traceback": [
"no method f(ASCIIString)\nwhile loading In[28], in expression starting on line 1"
]
}
],
"prompt_number": 28
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": "### The Expression Problem\n\nMads Torgersen's paper [The Expression Problem Revisited][2]:\n\n> To which degree can your application be structured in such a way that both the data model and the set of virtual operations over it can be extended without the need to modify existing code, without the need for code repetition and without runtime type errors.\n\n[2]: http://www.daimi.au.dk/~madst/ecoop04/main.pdf\n\nBasically you want to be able to add:\n\n1. **new types** to which you can apply existing operations \u2192 easy in o.o., hard in functional\n2. **new operations** which you can apply to existing types \u2192 easy in functional, hard in o.o."
},
{
"cell_type": "code",
"collapsed": false,
"input": "module ModInts\nexport ModInt\nimport Base: convert, promote_rule, show, showcompact\n\nimmutable ModInt{n} <: Integer\n k::Int\n ModInt(k) = new(k % n)\nend\n\n-{n2}(a::ModInt{n2}) = ModInt{n2}(-a.k)\n+{n}(a::ModInt{n}, b::ModInt{n}) = ModInt{n}(a.k+b.k)\n-{n}(a::ModInt{n}, b::ModInt{n}) = ModInt{n}(a.k-b.k)\n*{n}(a::ModInt{n}, b::ModInt{n}) = ModInt{n}(a.k*b.k)\n\nconvert{n}(::Type{ModInt{n}}, i::Int) = ModInt{n}(i)\npromote_rule{n}(::Type{ModInt{n}}, ::Type{Int}) = ModInt{n}\n\nshow{n}(io::IO, k::ModInt{n}) = print(io, \"$(k.k) mod $n\")\nshowcompact(io::IO, k::ModInt) = print(io, k.k)\n\nend # module",
"language": "python",
"metadata": {
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"slide_type": "slide"
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"outputs": [],
"prompt_number": 29
},
{
"cell_type": "code",
"collapsed": false,
"input": "using ModInts",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
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},
"outputs": [],
"prompt_number": 30
},
{
"cell_type": "code",
"collapsed": false,
"input": "ModInt",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
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},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 31,
"text": "ModInt{n} (constructor with 0 methods)"
}
],
"prompt_number": 31
},
{
"cell_type": "code",
"collapsed": false,
"input": "ModInt{11}",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
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},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 32,
"text": "ModInt{11} (constructor with 1 method)"
}
],
"prompt_number": 32
},
{
"cell_type": "code",
"collapsed": false,
"input": "a=ModInt{11}(12345532425)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 33,
"text": "6 mod 11"
}
],
"prompt_number": 33
},
{
"cell_type": "code",
"collapsed": false,
"input": "b=ModInt{11}(23445134156)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 34,
"text": "4 mod 11"
}
],
"prompt_number": 34
},
{
"cell_type": "code",
"collapsed": false,
"input": "a+b",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
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},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 35,
"text": "10 mod 11"
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],
"prompt_number": 35
},
{
"cell_type": "code",
"collapsed": false,
"input": "a+b+b",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
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"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 36,
"text": "3 mod 11"
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"prompt_number": 36
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{
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"collapsed": false,
"input": "a+1",
"language": "python",
"metadata": {
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"slide_type": "fragment"
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"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 37,
"text": "7 mod 11"
}
],
"prompt_number": 37
},
{
"cell_type": "code",
"collapsed": false,
"input": "2a",
"language": "python",
"metadata": {
"slideshow": {
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"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 38,
"text": "1 mod 11"
}
],
"prompt_number": 38
},
{
"cell_type": "code",
"collapsed": false,
"input": "2a+1",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
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"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 39,
"text": "2 mod 11"
}
],
"prompt_number": 39
},
{
"cell_type": "code",
"collapsed": false,
"input": "A = map(ModInt{11}, rand(1:1000, 5,5))",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 40,
"text": "5x5 Array{ModInt{11},2}:\n 10 7 3 8 10\n 7 0 7 0 1\n 9 5 10 8 8\n 2 4 10 7 5\n 8 1 1 9 0"
}
],
"prompt_number": 40
},
{
"cell_type": "code",
"collapsed": false,
"input": "A^2",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
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},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 41,
"text": "5x5 Array{ModInt{11},2}:\n 8 6 1 8 6\n 9 8 4 0 5\n 9 10 8 5 6\n 5 9 0 3 7\n 4 9 10 3 2"
}
],
"prompt_number": 41
},
{
"cell_type": "code",
"collapsed": false,
"input": "A^10000000",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 52,
"text": "5x5 Array{ModInt{11},2}:\n 4 1 9 8 3\n 8 9 5 8 8\n 9 2 7 6 1\n 3 1 2 3 5\n 1 1 3 2 9"
}
],
"prompt_number": 52
},
{
"cell_type": "code",
"collapsed": false,
"input": "B = map(ModInt{11}, rand(1:1000, 5,5))",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 43,
"text": "5x5 Array{ModInt{11},2}:\n 2 8 8 5 7\n 1 10 5 8 4\n 0 5 3 6 6\n 1 3 5 3 8\n 1 3 4 7 8"
}
],
"prompt_number": 43
},
{
"cell_type": "code",
"collapsed": false,
"input": "A+B",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 44,
"text": "5x5 Array{ModInt{11},2}:\n 1 4 0 2 6\n 8 10 1 8 5\n 9 10 2 3 3\n 3 7 4 10 2\n 9 4 5 5 8"
}
],
"prompt_number": 44
},
{
"cell_type": "code",
"collapsed": false,
"input": "foo{n}(a::ModInt{n}, b::ModInt{n}) = a^2 + 2b - 1\nfoo{n}(a::ModInt{n}, b::Int) = foo(a, ModInt{n}(b))\nfoo{n}(a::Int, b::ModInt{n}) = foo(ModInt{n}(a), b)\nfoo(a::Int, b::Int) = foo(ModInt{11}(a), ModInt{11}(b)).k",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 45,
"text": "foo (generic function with 4 methods)"
}
],
"prompt_number": 45
},
{
"cell_type": "code",
"collapsed": false,
"input": "foo(3,4)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 46,
"text": "5"
}
],
"prompt_number": 46
},
{
"cell_type": "code",
"collapsed": false,
"input": "code_llvm(foo,(Int,Int))",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": "\ndefine i64 @julia_foo15929(i64, i64) {\ntop:\n %2 = srem i64 %0, 11, !dbg !2947\n %3 = insertvalue %ModInt undef, i64 %2, 0, !dbg !2947, !julia_type !2948\n %4 = call %ModInt @julia_power_by_squaring15922(%ModInt %3, i64 2), !dbg !2947, !julia_type !2948\n %5 = extractvalue %ModInt %4, 0, !dbg !2947\n %6 = srem i64 %1, 11, !dbg !2947\n %7 = shl i64 %6, 1, !dbg !2947\n %8 = srem i64 %7, 11, !dbg !2947\n %9 = add i64 %8, %5, !dbg !2947\n %10 = srem i64 %9, 11, !dbg !2947\n %11 = add i64 %10, -1, !dbg !2947\n %12 = srem i64 %11, 11, !dbg !2947\n ret i64 %12, !dbg !2947\n}\n"
}
],
"prompt_number": 47
},
{
"cell_type": "code",
"collapsed": false,
"input": "using Gadfly\n@plot(cos(x)/x, 5, 25)",
"language": "python",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
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"text": "D3(120.0,80.0,IOBuffer(Uint8[0x66,0x75,0x6e,0x63,0x74,0x69,0x6f,0x6e,0x20,0x64 \u2026 0x20,0x3d,0x20,0x64,0x72,0x61,0x77,0x0a,0x7d,0x0a],true,true,true,false,22006,9223372036854775807,22007),0,String[],Bool[],0,3,Dict{Uint64,(Any,Int64)}(),true,false,nothing,true)"
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"source": "##Acknowledgements\n\n**Stefan Karpinski** for inspiration for most of this presentation\n\n**Stefan, with Jeff Bezanson, Viral B Shah and Alan Edelman** for creating Julia \n\n**Daniel C Jones** for creating Gadfly"
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