Skip to main content

syntax - Extract what symbol is set by SetDelayed, Set, TagSet, UpSet, SetAttributes, etc


One of the recent features of the Mathematica Plugin for IntelliJ IDEA (www.mathematicaplugin.halirutan.de) is a Structure View which let's you see information about several definitions that are done in a source file. It currently looks like the left side of the image below:


enter image description here


To provide such a feature, I need to extract which symbol is set when the user uses things like




  • lhs = rhs or lhs := rhs

  • s /: patt = rhs or s /: patt := rhs

  • lhs ^= rhs or lhs ^:= rhs

  • Options[sym] = rhs, Attributes[sym] = rhs, SyntaxInformation[sym] = lhs, Format[sym] ] = rhs, N[sym] = rhs, Default[sym] = rhs

  • sym::tag = rhs


Since in IDEA I cannot evaluate code like one can in Mathematica, I have to extract all those information from inspecting the abstract syntax tree (TreeForm in Mathematica). For this, I have a so-called visitor which walks through the tree and collects information. One can easily write such a visitor (or expression parser) in Mathematica itself. I have written a very basic version of such a visitor, which takes a expression like f[x_]:=x^2 and extracts the symbols which is set and the type of the assignment. Partly, I have simply copied code from Leonids answer here. Before giving the code here are my


Questions: Can the visitor below be improved? Are there missing cases, things I haven't thought of, things that don't work correctly? Especially UpSet is interesting because there, more than one symbol can be set at the same time.




Here is a very basic visitor which uses simple pattern matching to check the structure of an expression:



ClearAll[visit];
SetAttributes[visit, {HoldAllComplete}];
visit[s_Symbol] := MakeBoxes[s];
visit[(h : (SetDelayed | Set))[lhs_, _]] := {MakeBoxes[h], visit[lhs]};
visit[(h : (TagSetDelayed | TagSet))[a_, _, _]] := {MakeBoxes[h], visit[a]};
visit[(h : (UpSetDelayed | UpSet))[_[args__], _]] := {MakeBoxes[h], visit[args]};
visit[HoldPattern[Options[sym_] = _]] := {MakeBoxes[Options], visit[sym]};
visit[HoldPattern[Attributes[sym_] = _]] := {MakeBoxes[Attributes], visit[sym]};
visit[HoldPattern[SetAttributes[sym_, _]]] := {MakeBoxes[Attributes], visit[sym]};
visit[HoldPattern[SyntaxInformation[sym_] = _]] := {MakeBoxes[SyntaxInformation], visit[sym]};

visit[HoldPattern[Default[sym_] = _]] := {MakeBoxes[DefaultValues], visit[sym]};
visit[HoldPattern[MessageName[sym_, tag_] = _]] := {MakeBoxes[Messages], visit[sym], MakeBoxes[tag]};
visit[Verbatim[Format][sym_] := _] := {MakeBoxes[FormatValues], visit[sym]};
visit[HoldPattern[(Set | SetDelayed)[N[sym_], _]]] := {MakeBoxes[NValues], visit[sym]};

visit[(Condition | PatternTest | Optional)[arg_, _]] := visit[arg];
visit[(HoldPattern | Optional)[arg_]] := $Failed;
visit[Verbatim[Pattern][sym_, _]] := $Failed
visit[Verbatim[Repeated][p_, ___]] := $Failed;
visit[(Blank | BlankSequence | BlankNullSequence)[___]] := $Failed;

visit[(Longest | Shortest)[arg_, ___]] := $Failed;
visit[Verbatim[PatternSequence][args___]] := $Failed;
visit[a_ /; AtomQ[Unevaluated[a]]] := $Failed;
visit[args___] := List @@ Map[visit, Hold[args]];
visit[f_[args___]] := visit[f];

SetAttributes[StructureView, {HoldAll}];
StructureView[sets_Hold] := Column[List @@ Map[visit, sets]]

And here are some positive test-cases that work



StructureView[Hold[
f[x_] := x^2,
SetAttributes[sym, {HoldAll}],
Options[Plot] = {PlotRange -> Automatic},
square /: area[square] = a^2,
area[rectangle] ^= a*b,
int /: rand[int] = Random[Integer],
h /: f[h[x_]] = x^2,
SyntaxInformation[
f] = {"ArgumentsPattern" -> {_, _, OptionsPattern[]}},

N[f[x_]] := Sum[x^-i/i^2, {i, 20}],
f::usage = "f[x] gives (x - 1)(x + 1)",
area[square1, square2] ^= s^2,
Format[bin[x_, y_]] := MatrixForm[{{x}, {y}}]]]

And here are some test-cases that (correctly) fail because they are semantically not valid


StructureView[Hold[
h_ /: f[h[x_]] = x^2,
f_[x] := x^2,
f_[x_] := x^2,

"f"[x_] := x
]]

Final notes



  • I haven't included vector-set like {a,b}={1,2} and the special notation a[[1]]=4 on purpose.

  • I someone doesn't want to post a complete answer, but wants to discuss something, then ping me in the plugin chatroom




Comments

Popular posts from this blog

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....