Merge pull request #852 from JuliaRobotics/22Q1/docs/fix_build

Fix documenter build/deploy

Author: Affie

docs/Project.toml

@@ -7,4 +7,4 @@ IncrementalInference = "904591bb-b899-562f-9e6f-b8df64c7d480"
 LightGraphs = "093fc24a-ae57-5d10-9952-331d41423f4d"
 
 [compat]
-Documenter = "0.23"
+Documenter = "0.27"

docs/src/BuildingGraphs.md

@@ -83,9 +83,9 @@ Four factors are added: a prior, a linear conditional relationship with a normal
 
 ```@example buildingGraphs; continued = true
 prior = addFactor!(dfg, [:x0], Prior(Normal(0,1)))
-f1 = addFactor!(dfg, [:x0; :x1], LinearConditional(Normal(50.0,2.0)), solvable=1)
-f1 = addFactor!(dfg, [:l0; :x0], LinearConditional(Normal(40.0,5.0)), solvable=1)
-f1 = addFactor!(dfg, [:l0; :x1], LinearConditional(Normal(-10.0,5.0)), solvable=1)
+f1 = addFactor!(dfg, [:x0; :x1], LinearRelative(Normal(50.0,2.0)), solvable=1)
+f1 = addFactor!(dfg, [:l0; :x0], LinearRelative(Normal(40.0,5.0)), solvable=1)
+f1 = addFactor!(dfg, [:l0; :x1], LinearRelative(Normal(-10.0,5.0)), solvable=1)
 ```
 
 The produced factor graph is:

docs/src/DrawingGraphs.md

@@ -30,9 +30,9 @@ v1 = addVariable!(dfg, :x0, ContinuousScalar, tags = [:POSE], solvable=1)
 v2 = addVariable!(dfg, :x1, ContinuousScalar, tags = [:POSE], solvable=1)
 v3 = addVariable!(dfg, :l0, ContinuousScalar, tags = [:LANDMARK], solvable=1)
 prior = addFactor!(dfg, [:x0], Prior(Normal(0,1)))
-f1 = addFactor!(dfg, [:x0; :x1], LinearConditional(Normal(50.0,2.0)), solvable=1)
-f1 = addFactor!(dfg, [:l0; :x0], LinearConditional(Normal(40.0,5.0)), solvable=1)
-f1 = addFactor!(dfg, [:l0; :x1], LinearConditional(Normal(-10.0,5.0)), solvable=1)
+f1 = addFactor!(dfg, [:x0; :x1], LinearRelative(Normal(50.0,2.0)), solvable=1)
+f1 = addFactor!(dfg, [:l0; :x0], LinearRelative(Normal(40.0,5.0)), solvable=1)
+f1 = addFactor!(dfg, [:l0; :x1], LinearRelative(Normal(-10.0,5.0)), solvable=1)
 
 # Plot graph
 plotDFG(dfg)
@@ -47,7 +47,7 @@ using Compose
 # lets add another variable and factor and plot it
 dfg.solverParams.graphinit = false # hide
 addVariable!(dfg, :x2, ContinuousScalar);
-addFactor!(dfg, [:x1; :x2], LinearConditional(Normal(50.0,2.0)));
+addFactor!(dfg, [:x1; :x2], LinearRelative(Normal(50.0,2.0)));
 # Save to SVG
 draw(SVG("graph.svg", 10cm, 10cm), plotDFG(dfg));
 nothing # hide
@@ -77,9 +77,9 @@ v1 = addVariable!(dfg, :x0, ContinuousScalar, tags = [:POSE], solvable=1)
 v2 = addVariable!(dfg, :x1, ContinuousScalar, tags = [:POSE], solvable=1)
 v3 = addVariable!(dfg, :l0, ContinuousScalar, tags = [:LANDMARK], solvable=1)
 prior = addFactor!(dfg, [:x0], Prior(Normal(0,1)))
-f1 = addFactor!(dfg, [:x0; :x1], LinearConditional(Normal(50.0,2.0)), solvable=1)
-f1 = addFactor!(dfg, [:l0; :x0], LinearConditional(Normal(40.0,5.0)), solvable=1)
-f1 = addFactor!(dfg, [:l0; :x1], LinearConditional(Normal(-10.0,5.0)), solvable=1)
+f1 = addFactor!(dfg, [:x0; :x1], LinearRelative(Normal(50.0,2.0)), solvable=1)
+f1 = addFactor!(dfg, [:l0; :x0], LinearRelative(Normal(40.0,5.0)), solvable=1)
+f1 = addFactor!(dfg, [:l0; :x1], LinearRelative(Normal(-10.0,5.0)), solvable=1)
 # Save to dot file
 toDotFile(dfg, "/tmp/test.dot")
 # Open with xdot

docs/src/GraphData.md

@@ -28,7 +28,7 @@ dfg = LightDFG{SolverParams}(params=SolverParams())
 
 x0 = addVariable!(dfg, :x0, ContinuousScalar, tags = [:POSE], solvable=1)
 x1 = addVariable!(dfg, :x1, ContinuousScalar, tags = [:POSE], solvable=1)
-f1 = addFactor!(dfg, [:x0; :x1], LinearConditional(Normal(50.0,2.0)), solvable=1)
+f1 = addFactor!(dfg, [:x0; :x1], LinearRelative(Normal(50.0,2.0)), solvable=1)
 ```
 
 ## Variable and Factor Elements

test/testFurther.jl

@@ -14,8 +14,8 @@ v1 = addVariable!(dfg, :a, ContinuousScalar, tags = [:POSE])
 v2 = addVariable!(dfg, :b, ContinuousScalar, tags = [:POSE])
 v3 = addVariable!(dfg, :c, ContinuousScalar, tags = [:LANDMARK])
 addFactor!(dfg, [:a], Prior(Normal(0,1)))
-f1 = addFactor!(dfg, [:a; :b], LinearConditional(Normal(50.0,2.0)) )
-f2 = addFactor!(dfg, [:b; :c], LinearConditional(Normal(50.0,2.0)) )
+f1 = addFactor!(dfg, [:a; :b], LinearRelative(Normal(50.0,2.0)) )
+f2 = addFactor!(dfg, [:b; :c], LinearRelative(Normal(50.0,2.0)) )
 
 # Pull and solve this graph
 dfgLocal = LightDFG{SolverParams}(solverParams=SolverParams())