Skip to main content

implementation details - How is pattern specificity decided?


Mathematica has a notion of pattern specificity, which is a partial ordering on patterns.


The rules (e.g. DownValues, SubValues, etc) attached to a symbol are linearly ordered, with this ordering determined by the order in which the values and the specificity ordering.


During evaluation, the rules are tried according to this ordering.


As each rule is added, if its left hand side is more specific than the left hand side of an existing rule, it is inserted before the first such existing rule, and otherwise it is added at the end. This is briefly described in the Mathematica documentation, at http://reference.wolfram.com/mathematica/tutorial/PatternsAndTransformationRules.html.



The general intention of pattern specificity is that it corresponds to the range of expressions that the pattern could match. The actual implementation of pattern specificity in Mathematica is much weaker, of course; this ideal notion of specificity would of course be undecidable. As an example, _?f and _?g are considered incomparable for any expressions f and g even though in the ideal partial ordering _?True& would be less specific than _?False&. To my knowledge, pattern specificity is a weakening of the ideal notion of specificity (that is, if p is considered more specific than q, then p matches a strict subset of the expressions that q matches), although there may well be some interesting counterexamples!


One can 'experimentally' examine the partial ordering of pattern specificity using the following commands:


SetAttributes[{PatternsComparableQ, PatternsOrderedQ}, HoldAll]  
PatternsComparableQ[f_, g_] := Module[{x, y},
x[HoldPattern[f]] := 1;
x[HoldPattern[g]] := 2;
y[HoldPattern[g]] := 3;
y[HoldPattern[f]] := 4;
DownValues[x][[1, 1, 1, 1]] === DownValues[y][[1, 1, 1, 1]]
]

PatternsOrderedQ[_[f_, g_]] := Module[{x, y},
x[HoldPattern[f]] := 1;
x[HoldPattern[g]] := 2;
y[HoldPattern[g]] := 3;
y[HoldPattern[f]] := 4;
DownValues[x][[1, 1, 1, 1]] === DownValues[y][[1, 1, 1, 1]] === HoldPattern[f]
]
PatternsOrderedQ[x_] := OrderedQ[x, PatternsOrderedQ[{#1, #2}] &]

Now, my question:




How is pattern specificity determined in practice?



A perfect(!) answer might include an algorithm reproducing the results of PatternsComparableQ and PatternsOrderedQ above, without interacting with the state of the kernel via DownValues et al. I'd also be interested in pointers to documentation, or informal descriptions of the algorithm used.


(I'm also aware of Internal`ComparePatterns which I learnt about in this excellent answer to a related question, but as it is known to "make mistakes" and doesn't appear to actually be used in ordering the rules attached to symbols, I'm not sure it's relevant.)




Comments

Popular posts from this blog

plotting - How to draw lines between specified dots on ListPlot?

I would like to create a plot where I have unconnected dots and some connected. So far, I have figured out how to draw the dots. My code is the following: ListPlot[{{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4,13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full] I have thought using ListLinePlot command, but I don't know how to specify to the command to draw only selected lines between the dots. Do have any suggestions/hints on how to do that? Thank you. Answer One possibility would be to use Epilog with Line : ListPlot[ {{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4, 13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full, Epilog -> { Line[ ...

equation solving - Invert and fit implicitly defined curve

I need to fit an implicitly defined curve. I thought I could get some data out of Solve , and then using FindFit . Therefore, I would like to find the relation the parametric curve defined by $F(x,y)=0$: Solve[-(1/2) + 1/2 (0.41202 BesselK[0, 0.1 Sqrt[x^2 + y^2]] + (0.101483 x BesselK[1, 0.1 Sqrt[x^2 + y^2]])/Sqrt[x^2 + y^2]) == 0, y] But I can't get an output: Solve was unable to solve the system with inexact coefficients or the system obtained by direct rationalization of inexact numbers present in the system. Since many of the methods used by Solve require exact input, providing Solve with an exact version of the system may help. >> Edit: In particular, I would like to fit the data coming from the curve with the expression of another curve, and not with a function $f(x)$. In particular, since this clearly looks like a cardioid , I would like it to fit to something like it. What other strategies could I try?

dynamic - How can I make a clickable ArrayPlot that returns input?

I would like to create a dynamic ArrayPlot so that the rectangles, when clicked, provide the input. Can I use ArrayPlot for this? Or is there something else I should have to use? Answer ArrayPlot is much more than just a simple array like Grid : it represents a ranged 2D dataset, and its visualization can be finetuned by options like DataReversed and DataRange . These features make it quite complicated to reproduce the same layout and order with Grid . Here I offer AnnotatedArrayPlot which comes in handy when your dataset is more than just a flat 2D array. The dynamic interface allows highlighting individual cells and possibly interacting with them. AnnotatedArrayPlot works the same way as ArrayPlot and accepts the same options plus Enabled , HighlightCoordinates , HighlightStyle and HighlightElementFunction . data = {{Missing["HasSomeMoreData"], GrayLevel[ 1], {RGBColor[0, 1, 1], RGBColor[0, 0, 1], GrayLevel[1]}, RGBColor[0, 1, 0]}, {GrayLevel[0], GrayLevel...