Skip to main content

debugging - Prepend Information to Warning Messages


I have a function running within a Do loop that sometimes issues a warning. I'd like to prepend the warning with the loop ctr so that I can go back and debug that instance later.
Basically, I would like to modify the following line,


Do[i^0, {i, -1, 1}]

so that instead of displaying the warning:


Power::indet: Indeterminate expression 0^0 encountered. >>


it displays:


i=0, Power::indet: Indeterminate expression 0^0 encountered. >>

Where i==0 is the iteration that i^0 issues the warning.


Thanks



Answer



Here is my proposal for tagging messages with (the value of) an arbitrary expression at the time of message generation. The tag is placed inside the the message itself.


ClearAll[withTaggedMsg]
SetAttributes[withTaggedMsg, HoldAll]


withTaggedMsg[exp_, label_: "When"] := Function[,
Internal`InheritedBlock[{MessagePacket},
Unprotect @ MessagePacket;
mp : MessagePacket[__, _BoxData] /; !TrueQ[$tagMsg] :=
Block[{$tagMsg = True},
Style[Row[{label, HoldForm[exp], "=", exp, " "}, " "], "SBO"] /. tag_ :>
MapAt[RowBox[{ToBoxes @ tag, #}] &, mp, {-1, 1}] // Identity
];
#

],
HoldAll]

Usage:


Do[i^0, {i, -1, 1}] // withTaggedMsg[i]

enter image description here


Do[i^0, {i, -1, 1}] // withTaggedMsg[i, "At iteration"]

enter image description here





Note: this only works with variables that are either globally accessible or are scoped using Block. For example,


f[x_] := Message[f::brains, x]
f[5] // withTaggedMsg[x]
(* At iteration x = x f::brains: -- Message text not found -- (5) *)

Module[{x = 5},
Message[f::brains, x]
] // withTaggedMsg[x]
(* At iteration x = x f::brains: -- Message text not found -- (5) *)


With[{x = 5},
Message[f::brains, x]
] // withTaggedMsg[x]
(* At iteration x = x f::brains: -- Message text not found -- (5) *)

Block[{x = 5},
Message[f::brains, x]
] // withTaggedMsg[x]
(* At iteration x = 5 f::brains: -- Message text not found -- (5) *)


This means that any variable that is scoped using Block can be used to tag a message. So, loop variables from Do and Table are accessible via this method, in addition to any Block variable. This makes it indispensable as a debugging tool.


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....