diff --git a/examples/contours.ipynb b/examples/contours.ipynb
index 5952e2aa..d301975a 100644
--- a/examples/contours.ipynb
+++ b/examples/contours.ipynb
@@ -16,3216 +16,11 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": null,
"metadata": {
"collapsed": false
},
- "outputs": [
- {
- "data": {
- "image/png": "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",
- "image/svg+xml": [
- "\n",
- "\n"
- ],
- "text/html": [
- "\n",
- "\n"
- ],
- "text/plain": [
- "Compose.Context(Compose.BoundingBox(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),1.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,1.0)),Compose.UnitBox{Void,Void,Void,Void}(nothing,nothing,nothing,nothing,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Rotation{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}(0.0,Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.5,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.5))),nothing,Compose.ListNode{Compose.ComposeNode}(Compose.Context(Compose.BoundingBox(Compose.Measure{Int64,Compose.MeasureNil}(0.0,0,Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Int64}(0.0,Compose.MeasureNil(),0,0.0,0.0),Compose.Measure{Int64,Compose.MeasureNil}(0.0,1,Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Int64}(0.0,Compose.MeasureNil(),1,0.0,0.0)),Compose.UnitBox{Void,Void,Void,Void}(nothing,nothing,nothing,nothing,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Rotation{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}(0.0,Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.5,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.5))),nothing,Compose.ListNode{Compose.ComposeNode}(Compose.Context(Compose.BoundingBox(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),1.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,1.0)),Compose.UnitBox{Void,Void,Void,Void}(nothing,nothing,nothing,nothing,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Rotation{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}(0.0,Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.5,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.5))),nothing,Compose.ListNode{Compose.ComposeNode}(Compose.Context(Compose.BoundingBox(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),1.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,1.0)),Compose.UnitBox{Void,Void,Void,Void}(nothing,nothing,nothing,nothing,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Rotation{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}(0.0,Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.5,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.5))),nothing,Compose.ListNode{Compose.ComposeNode}(Compose.Form{Compose.RectanglePrimitive{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}([Compose.RectanglePrimitive{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),1.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,1.0))],symbol(\"\")),Compose.ListNode{Compose.ComposeNode}(Compose.Property{Compose.StrokePrimitive}([Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]),Compose.ListNode{Compose.ComposeNode}(Compose.Property{Compose.FillPrimitive}([Compose.FillPrimitive(RGBA{Float64}(1.0,1.0,1.0,1.0))]),Compose.ListNull{Compose.ComposeNode}()))),-1000000,false,false,false,false,nothing,nothing,0.0,symbol(\"\")),Compose.ListNode{Compose.ComposeNode}(Compose.Context(Compose.BoundingBox(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(5.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(5.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(-10.0,Compose.MeasureNil(),Compose.MeasureNil(),1.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(-10.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,1.0)),Compose.UnitBox{Void,Void,Void,Void}(nothing,nothing,nothing,nothing,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Rotation{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}(0.0,Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.5,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.5))),nothing,Compose.ListNode{Compose.ComposeNode}(Compose.Property{Compose.JSIncludePrimitive}([Compose.JSIncludePrimitive(\"/Users/tom/.julia/v0.4/Gadfly/src/gadfly.js\",(\"Gadfly\",\"Gadfly\"))]),Compose.ListNode{Compose.ComposeNode}(Compose.Property{Compose.SVGClassPrimitive}([Compose.SVGClassPrimitive(\"plotroot xscalable yscalable\")]),Compose.ListNode{Compose.ComposeNode}(Compose.Table(2x3 Array{Array{Compose.Context,1},2}:\n",
- " [Context(AdhocContainerPromise)] … [Context(AdhocContainerPromise)]\n",
- " [] [] ,2:2,1:1,nothing,nothing,nothing,Any[],Compose.UnitBox{Float64,Float64,Float64,Float64}(0.0,1.0,10.0,-1.0,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(2.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(2.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(2.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(2.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),0,false,false),Compose.ListNull{Compose.ComposeNode}()))),0,false,false,false,false,nothing,nothing,0.0,symbol(\"\")),Compose.ListNull{Compose.ComposeNode}())),0,false,false,false,false,nothing,nothing,0.0,symbol(\"\")),Compose.ListNull{Compose.ComposeNode}()),0,false,false,false,false,nothing,nothing,0.0,symbol(\"\")),Compose.ListNode{Compose.ComposeNode}(Compose.Context(Compose.BoundingBox(Compose.Measure{Float64,Compose.MeasureNil}(0.0,0.6,Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Int64}(0.0,Compose.MeasureNil(),0,0.0,0.0),Compose.Measure{Float64,Compose.MeasureNil}(0.0,0.4,Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Float64}(0.0,Compose.MeasureNil(),0.4,0.0,0.0)),Compose.UnitBox{Void,Void,Void,Void}(nothing,nothing,nothing,nothing,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Rotation{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}(0.0,Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.5,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.5))),nothing,Compose.ListNode{Compose.ComposeNode}(Compose.Context(Compose.BoundingBox(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),1.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,1.0)),Compose.UnitBox{Void,Void,Void,Void}(nothing,nothing,nothing,nothing,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Rotation{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}(0.0,Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.5,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.5))),nothing,Compose.ListNode{Compose.ComposeNode}(Compose.Context(Compose.BoundingBox(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),1.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,1.0)),Compose.UnitBox{Void,Void,Void,Void}(nothing,nothing,nothing,nothing,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Rotation{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}(0.0,Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.5,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.5))),nothing,Compose.ListNode{Compose.ComposeNode}(Compose.Form{Compose.RectanglePrimitive{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}([Compose.RectanglePrimitive{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),1.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,1.0))],symbol(\"\")),Compose.ListNode{Compose.ComposeNode}(Compose.Property{Compose.StrokePrimitive}([Compose.StrokePrimitive(RGBA{Float64}(0.0,0.0,0.0,0.0))]),Compose.ListNode{Compose.ComposeNode}(Compose.Property{Compose.FillPrimitive}([Compose.FillPrimitive(RGBA{Float64}(1.0,1.0,1.0,1.0))]),Compose.ListNull{Compose.ComposeNode}()))),-1000000,false,false,false,false,nothing,nothing,0.0,symbol(\"\")),Compose.ListNode{Compose.ComposeNode}(Compose.Context(Compose.BoundingBox(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(5.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(5.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(-10.0,Compose.MeasureNil(),Compose.MeasureNil(),1.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(-10.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,1.0)),Compose.UnitBox{Void,Void,Void,Void}(nothing,nothing,nothing,nothing,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),Compose.Rotation{Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}}(0.0,Compose.Point{Compose.Measure{Compose.MeasureNil,Compose.MeasureNil},Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}}(Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.5,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(0.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.5))),nothing,Compose.ListNode{Compose.ComposeNode}(Compose.Property{Compose.JSIncludePrimitive}([Compose.JSIncludePrimitive(\"/Users/tom/.julia/v0.4/Gadfly/src/gadfly.js\",(\"Gadfly\",\"Gadfly\"))]),Compose.ListNode{Compose.ComposeNode}(Compose.Property{Compose.SVGClassPrimitive}([Compose.SVGClassPrimitive(\"plotroot xscalable yscalable\")]),Compose.ListNode{Compose.ComposeNode}(Compose.Table(2x3 Array{Array{Compose.Context,1},2}:\n",
- " [Context(AdhocContainerPromise)] … [Context(AdhocContainerPromise)]\n",
- " [] [] ,2:2,1:1,nothing,nothing,nothing,Any[],Compose.UnitBox{Float64,Float64,Float64,Float64}(0.0,1.0,100.0,-1.0,Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(2.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(2.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(2.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0),Compose.Measure{Compose.MeasureNil,Compose.MeasureNil}(2.0,Compose.MeasureNil(),Compose.MeasureNil(),0.0,0.0)),0,false,false),Compose.ListNull{Compose.ComposeNode}()))),0,false,false,false,false,nothing,nothing,0.0,symbol(\"\")),Compose.ListNull{Compose.ComposeNode}())),0,false,false,false,false,nothing,nothing,0.0,symbol(\"\")),Compose.ListNull{Compose.ComposeNode}()),0,false,false,false,false,nothing,nothing,0.0,symbol(\"\")),Compose.ListNull{Compose.ComposeNode}())),0,false,false,false,false,nothing,nothing,0.0,symbol(\"\"))"
- ]
- },
- "execution_count": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"using Plots; using Compose\n",
"p1 = plot(rand(10))\n",
@@ -3306,40 +101,11 @@
},
{
"cell_type": "code",
- "execution_count": 23,
+ "execution_count": null,
"metadata": {
"collapsed": false
},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "x = [0.996311623950869,1.014779586168885,1.0619429011645203,1.0705643632344357,1.0757346819029472,1.2352537493424733,1.3083367492687343,1.3362429344485531,1.3382013214101371,1.381189378592954,1.387758007376257,1.4330616775674128,1.4330873131641844,1.4802974364117303,1.5983182860133243,1.7395968844958194,1.8898088744099915,1.9983557145685487,2.0028308618853106,2.0112886298409127,2.0289470759898443,2.074888219238593,2.10414834798257,2.1510008635888065,2.2151888265553907,2.241346798167681,2.3299639292951215,2.3944690872276184,2.593030479782728,2.6035782354641266,2.620319713774897,2.6412138619889283,2.69457070468019,2.712098273036215,2.844711254707502,2.9183936196692386]"
- ]
- },
- {
- "data": {
- "image/png": "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",
- "text/plain": [
- "Plot{Plots.ImmersePackage() n=1}"
- ]
- },
- "execution_count": 23,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- "y = [-1.9760705052937122,-1.9401080205046,-1.8539433824658917,-1.8390132174981266,-1.8301743425134045,-1.5938280011038843,-1.5047976106082777,-1.4733713185043547,-1.4712151173905417,-1.4254251043953374,-1.4186781871955039,-1.3738292252100077,-1.3738046496438667,-1.3299908286965345,-1.2317834510179533,-1.1317461141241336,-1.0417889559256392,-0.9852009828969108,-0.9829996389796655,-0.9788659792335812,-0.9703466578644496,-0.9488617246538046,-0.9356669248431247,-0.9152864824451101,-0.8887648721269691,-0.8783924093228624,-0.8449839027191308,-0.8222206854422591,-0.7592591099567633,-0.7561831587594401,-0.7513518307788163,-0.7454080271591599,-0.7306477468752341,-0.7259257652070719,-0.6920850089486591,-0.6746115400271908]\n",
- "\n",
- "\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"x, y = Contour.coordinates(cs[2].lines[2])\n",
"@show x y\n",
@@ -3348,25 +114,11 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": null,
"metadata": {
"collapsed": false
},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "INFO: Nothing to be done\n",
- "INFO: METADATA is out-of-date — you may not have the latest version of GeometricalPredicates\n",
- "INFO: Use `Pkg.update()` to get the latest versions of your packages\n",
- "INFO: Cloning VoronoiDelaunay from https://github.com/JuliaGeometry/VoronoiDelaunay.jl\n",
- "INFO: Computing changes...\n",
- "INFO: No packages to install, update or remove\n",
- "INFO: Package database updated\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"Pkg.add(\"GeometricalPredicates\")\n",
"Pkg.clone(\"https://github.com/JuliaGeometry/VoronoiDelaunay.jl\")\n",
@@ -3375,42 +127,71 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "INFO: Recompiling stale cache file /home/tom/.julia/lib/v0.4/Plots.ji for module Plots.\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
- "[Plots.jl] Switched to backend: gadfly"
+ "[Plots.jl] Default backend: immerse\n",
+ "[Plots.jl] Switched to backend: gadfly\n",
+ "[Plots.jl] Initializing backend: gadfly"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "INFO: Recompiling stale cache file /home/tom/.julia/lib/v0.4/Cairo.ji for module Cairo.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "INFO: Recompiling stale cache file /home/tom/.julia/lib/v0.4/Gadfly.ji for module Gadfly.\n",
+ "INFO: Recompiling stale cache file /home/tom/.julia/lib/v0.4/Compose.ji for module Compose.\n",
+ "WARNING: Base.Nothing is deprecated, use Void instead.\n",
+ "WARNING: eval from module Compose to Gadfly: \n",
+ "Expr(:import, :Patchwork)::Any\n",
+ " ** incremental compilation may be broken for this module **\n",
+ "\n"
]
},
{
"data": {
- "image/png": "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",
+ "image/png": "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",
"text/plain": [
"Plot{Plots.GadflyPackage() n=1}"
]
},
- "execution_count": 3,
+ "execution_count": 1,
"metadata": {},
"output_type": "execute_result"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- "[Plots.jl] Initializing backend: gadfly\n"
- ]
}
],
"source": [
"using Plots; gadfly()\n",
"default(size=(500,300))\n",
"n = 100\n",
+ "srand(123)\n",
"x = randn(n)*3\n",
"y = randn(n)*3\n",
"z = Float64[sin(x[i]) + cos(y[i]) for i in 1:n]\n",
@@ -3419,22 +200,11 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {
"collapsed": false
},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "zippoints (generic function with 2 methods)"
- ]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"using VoronoiDelaunay\n",
"tess = DelaunayTessellation(n)\n",
@@ -3460,137 +230,11 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": null,
"metadata": {
"collapsed": false
},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "WARNING: Base.Uint64 is deprecated, use UInt64 instead.\n",
- "WARNING: Base.Uint64 is deprecated, use UInt64 instead.\n",
- "WARNING: Base.Uint64 is deprecated, use UInt64 instead.\n",
- "WARNING: int(x::AbstractFloat) is deprecated, use round(Int,x) instead.\n",
- " in depwarn at deprecated.jl:73\n",
- " in int at deprecated.jl:50\n",
- " in _mssort! at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:1133\n",
- " in push! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:634\n",
- " in include_string at loading.jl:266\n",
- " in execute_request_0x535c5df2 at /Users/tom/.julia/v0.4/IJulia/src/execute_request.jl:177\n",
- " in eventloop at /Users/tom/.julia/v0.4/IJulia/src/IJulia.jl:141\n",
- " in anonymous at task.jl:447\n",
- "while loading In[5], in expression starting on line 2\n",
- "WARNING: int(x::AbstractFloat) is deprecated, use round(Int,x) instead.\n",
- " in depwarn at deprecated.jl:73\n",
- " in int at deprecated.jl:50\n",
- " in _mssort! at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:1133\n",
- " in push! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:634\n",
- " in include_string at loading.jl:266\n",
- " in execute_request_0x535c5df2 at /Users/tom/.julia/v0.4/IJulia/src/execute_request.jl:177\n",
- " in eventloop at /Users/tom/.julia/v0.4/IJulia/src/IJulia.jl:141\n",
- " in anonymous at task.jl:447\n",
- "while loading In[5], in expression starting on line 2\n",
- "WARNING: int64(x) is deprecated, use Int64(x) instead.\n",
- " in depwarn at deprecated.jl:73\n",
- " in int64 at deprecated.jl:50\n",
- " in _exact_intriangle! at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:576\n",
- " in _exact_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:648\n",
- " in _sz_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:672\n",
- " in intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:701\n",
- " in findindex at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:268\n",
- " in _pushunfixed! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:282\n",
- " in _pushunsorted! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:627\n",
- " in push! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:635\n",
- " in include_string at loading.jl:266\n",
- " in execute_request_0x535c5df2 at /Users/tom/.julia/v0.4/IJulia/src/execute_request.jl:177\n",
- " in eventloop at /Users/tom/.julia/v0.4/IJulia/src/IJulia.jl:141\n",
- " in anonymous at task.jl:447\n",
- "while loading In[5], in expression starting on line 2\n",
- "WARNING: int64(x) is deprecated, use Int64(x) instead.\n",
- " in depwarn at deprecated.jl:73\n",
- " in int64 at deprecated.jl:50\n",
- " in _exact_intriangle! at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:577\n",
- " in _exact_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:648\n",
- " in _sz_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:672\n",
- " in intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:701\n",
- " in findindex at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:268\n",
- " in _pushunfixed! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:282\n",
- " in _pushunsorted! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:627\n",
- " in push! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:635\n",
- " in include_string at loading.jl:266\n",
- " in execute_request_0x535c5df2 at /Users/tom/.julia/v0.4/IJulia/src/execute_request.jl:177\n",
- " in eventloop at /Users/tom/.julia/v0.4/IJulia/src/IJulia.jl:141\n",
- " in anonymous at task.jl:447\n",
- "while loading In[5], in expression starting on line 2\n",
- "WARNING: int64(x) is deprecated, use Int64(x) instead.\n",
- " in depwarn at deprecated.jl:73\n",
- " in int64 at deprecated.jl:50\n",
- " in _exact_intriangle! at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:580\n",
- " in _exact_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:648\n",
- " in _sz_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:672\n",
- " in intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:701\n",
- " in findindex at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:268\n",
- " in _pushunfixed! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:282\n",
- " in _pushunsorted! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:627\n",
- " in push! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:635\n",
- " in include_string at loading.jl:266\n",
- " in execute_request_0x535c5df2 at /Users/tom/.julia/v0.4/IJulia/src/execute_request.jl:177\n",
- " in eventloop at /Users/tom/.julia/v0.4/IJulia/src/IJulia.jl:141\n",
- " in anonymous at task.jl:447\n",
- "while loading In[5], in expression starting on line 2\n",
- "WARNING: int64(x) is deprecated, use Int64(x) instead.\n",
- " in depwarn at deprecated.jl:73\n",
- " in int64 at deprecated.jl:50\n",
- " in _exact_intriangle! at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:584\n",
- " in _exact_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:648\n",
- " in _sz_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:672\n",
- " in intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:701\n",
- " in findindex at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:268\n",
- " in _pushunfixed! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:282\n",
- " in _pushunsorted! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:627\n",
- " in push! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:635\n",
- " in include_string at loading.jl:266\n",
- " in execute_request_0x535c5df2 at /Users/tom/.julia/v0.4/IJulia/src/execute_request.jl:177\n",
- " in eventloop at /Users/tom/.julia/v0.4/IJulia/src/IJulia.jl:141\n",
- " in anonymous at task.jl:447\n",
- "while loading In[5], in expression starting on line 2\n",
- "WARNING: int64(x) is deprecated, use Int64(x) instead.\n",
- " in depwarn at deprecated.jl:73\n",
- " in int64 at deprecated.jl:50\n",
- " in _exact_intriangle! at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:589\n",
- " in _exact_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:648\n",
- " in _sz_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:672\n",
- " in intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:701\n",
- " in findindex at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:268\n",
- " in _pushunfixed! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:282\n",
- " in _pushunsorted! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:627\n",
- " in push! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:635\n",
- " in include_string at loading.jl:266\n",
- " in execute_request_0x535c5df2 at /Users/tom/.julia/v0.4/IJulia/src/execute_request.jl:177\n",
- " in eventloop at /Users/tom/.julia/v0.4/IJulia/src/IJulia.jl:141\n",
- " in anonymous at task.jl:447\n",
- "while loading In[5], in expression starting on line 2\n",
- "WARNING: int64(x) is deprecated, use Int64(x) instead.\n",
- " in depwarn at deprecated.jl:73\n",
- " in int64 at deprecated.jl:50\n",
- " in _exact_intriangle! at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:592\n",
- " in _exact_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:648\n",
- " in _sz_intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:672\n",
- " in intriangle at /Users/tom/.julia/v0.4/GeometricalPredicates/src/GeometricalPredicates.jl:701\n",
- " in findindex at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:268\n",
- " in _pushunfixed! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:282\n",
- " in _pushunsorted! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:627\n",
- " in push! at /Users/tom/.julia/v0.4/VoronoiDelaunay/src/VoronoiDelaunay.jl:635\n",
- " in include_string at loading.jl:266\n",
- " in execute_request_0x535c5df2 at /Users/tom/.julia/v0.4/IJulia/src/execute_request.jl:177\n",
- " in eventloop at /Users/tom/.julia/v0.4/IJulia/src/IJulia.jl:141\n",
- " in anonymous at task.jl:447\n",
- "while loading In[5], in expression starting on line 2\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"a = zippoints(x, y)\n",
"push!(tess, a)"
@@ -3602,13 +246,32 @@
"metadata": {
"collapsed": false
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "VoronoiDelaunay."
+ ]
+ }
+ ],
"source": [
"for tri in tess\n",
" println(tri)\n",
"end"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "tess"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,