Tom Hvitved 125a4b9b10 Rust: Fix two bad joins introduced by magic
```
Evaluated relational algebra for predicate TypeInference::closureParameterPath/2#9d0bf423#bbf@ba08cc1s with tuple counts:
           565067    ~172652%    {2} r1 = JOIN `Callable::Callable.getParam/1#dispred#ce0254b3_01#count_range` WITH `Callable::Generated::Callable.getNumberOfParams/0#dispred#abb45996` ON FIRST 1 OUTPUT Rhs.1, Lhs.1
            24684     ~11784%    {3}    | JOIN WITH Type::TTupleTypeParameter#5ca17706 ON FIRST 2 OUTPUT Rhs.2, Lhs.1, Lhs.0
             2970      ~1391%    {3}    | JOIN WITH `TypeInference::TypePath::singleton/1#ee45de3b` ON FIRST 1 OUTPUT Lhs.1, Lhs.2, Rhs.1
              664       ~242%    {4}    | JOIN WITH `Stdlib::FnOnceTrait.getTypeParam/0#dispred#93f20bbc` CARTESIAN PRODUCT OUTPUT Rhs.1, Lhs.0, Lhs.1, Lhs.2
              303        ~49%    {4}    | JOIN WITH Type::TDynTraitTypeParameter#e16268df ON FIRST 1 OUTPUT Rhs.1, Lhs.1, Lhs.2, Lhs.3
              198         ~0%    {8}    | JOIN WITH `TypeInference::TypePath::singleton/1#ee45de3b` ON FIRST 1 OUTPUT Lhs.1, Lhs.2, _, _, Rhs.1, Lhs.3, _, _
                                 {4}    | REWRITE WITH Out.2 := (In.4 ++ In.5), Tmp.3 := (In.4 ++ In.5), Tmp.6 := "[0-9]+", Tmp.7 := "", Out.3 := regexpReplaceAll(Tmp.3,Tmp.6,Tmp.7) KEEPING 4
              198         ~0%    {6}    | SCAN OUTPUT In.0, In.1, In.2, _, In.3, _
                                 {4}    | REWRITE WITH Out.3 := length(In.4), Tmp.5 := 10, TEST Out.3 <= Tmp.5 KEEPING 4
              198         ~0%    {3}    | SCAN OUTPUT In.1, In.0, In.2

           877984   ~1444714%    {1} r2 = SCAN `CallExprBase::CallExprBase.getArg/1#dispred#d775f13d` OUTPUT In.1
           299888     ~83707%    {3}    | JOIN WITH Type::TTupleTypeParameter#5ca17706_102#join_rhs ON FIRST 1 OUTPUT Rhs.1, Lhs.0, Rhs.2
        515462762     ~59140%    {4}    | JOIN WITH `CallExprBase::Generated::CallExprBase.getNumberOfArgs/0#dispred#0975fe12_10#join_rhs` ON FIRST 1 OUTPUT Rhs.1, Lhs.1, Lhs.0, Lhs.2
          9429188  ~25728933%    {3}    | JOIN WITH TypeInference::InvokedClosureExpr#24e5dacb_1#join_rhs ON FIRST 1 OUTPUT Lhs.3, Lhs.1, Lhs.2
            53669    ~142315%    {3}    | JOIN WITH `TypeInference::TypePath::singleton/1#ee45de3b` ON FIRST 1 OUTPUT Lhs.1, Lhs.2, Rhs.1
             4003     ~10522%    {4}    | JOIN WITH `Stdlib::FnOnceTrait.getTypeParam/0#dispred#93f20bbc` CARTESIAN PRODUCT OUTPUT Rhs.1, Lhs.0, Lhs.1, Lhs.2
              370       ~910%    {4}    | JOIN WITH Type::TDynTraitTypeParameter#e16268df ON FIRST 1 OUTPUT Rhs.1, Lhs.1, Lhs.2, Lhs.3
              148       ~293%    {8}    | JOIN WITH `TypeInference::TypePath::singleton/1#ee45de3b` ON FIRST 1 OUTPUT Lhs.1, Lhs.2, _, _, Rhs.1, Lhs.3, _, _
                                 {4}    | REWRITE WITH Out.2 := (In.4 ++ In.5), Tmp.3 := (In.4 ++ In.5), Tmp.6 := "[0-9]+", Tmp.7 := "", Out.3 := regexpReplaceAll(Tmp.3,Tmp.6,Tmp.7) KEEPING 4
              148       ~316%    {6}    | SCAN OUTPUT In.0, In.1, In.2, _, In.3, _
                                 {4}    | REWRITE WITH Out.3 := length(In.4), Tmp.5 := 10, TEST Out.3 <= Tmp.5 KEEPING 4
              148       ~293%    {3}    | SCAN OUTPUT In.1, In.0, In.2

              346        ~75%    {3} r3 = r1 UNION r2
                                 return r3
```

and

```
Evaluated relational algebra for predicate TypeInference::fnParameterPath/2#4dea2880#bbf@d56000vi with tuple counts:
                1         ~0%    {1} r1 = SCAN `Stdlib::FnOnceTrait.getTypeParam/0#dispred#93f20bbc` OUTPUT In.1
                1         ~0%    {1}    | JOIN WITH Type::TTypeParamTypeParameter#868c69a5 ON FIRST 1 OUTPUT Rhs.1
                1         ~0%    {1}    | JOIN WITH `TypeInference::TypePath::singleton/1#ee45de3b` ON FIRST 1 OUTPUT Rhs.1
           877984   ~1350201%    {2}    | JOIN WITH `ArgList::Generated::ArgList.getArg/1#dispred#b07adc80` CARTESIAN PRODUCT OUTPUT Rhs.1, Lhs.0
           321252     ~90755%    {4}    | JOIN WITH Type::TTupleTypeParameter#5ca17706_102#join_rhs ON FIRST 1 OUTPUT Rhs.1, Lhs.1, Lhs.0, Rhs.2
        553043191     ~65412%    {5}    | JOIN WITH `CallExprBase::Generated::CallExprBase.getNumberOfArgs/0#dispred#0975fe12_10#join_rhs` ON FIRST 1 OUTPUT Rhs.1, Lhs.1, Lhs.2, Lhs.0, Lhs.3
         10089088  ~26772053%    {4}    | JOIN WITH TypeInference::InvokedClosureExpr#24e5dacb_1#join_rhs ON FIRST 1 OUTPUT Lhs.4, Lhs.1, Lhs.2, Lhs.3
            57729    ~157423%    {8}    | JOIN WITH `TypeInference::TypePath::singleton/1#ee45de3b` ON FIRST 1 OUTPUT Lhs.2, Lhs.3, _, _, Lhs.1, Rhs.1, _, _
                                 {4}    | REWRITE WITH Out.2 := (In.4 ++ In.5), Tmp.3 := (In.4 ++ In.5), Tmp.6 := "[0-9]+", Tmp.7 := "", Out.3 := regexpReplaceAll(Tmp.3,Tmp.6,Tmp.7) KEEPING 4
            57729    ~157423%    {6}    | SCAN OUTPUT In.0, In.1, In.2, _, In.3, _
                                 {4}    | REWRITE WITH Out.3 := length(In.4), Tmp.5 := 10, TEST Out.3 <= Tmp.5 KEEPING 4
            57729    ~157423%    {3}    | SCAN OUTPUT In.1, In.0, In.2
                                 return r1
```
2025-08-04 14:22:50 +02:00
2025-07-22 15:06:09 +01:00
2022-10-20 08:21:02 -04:00
2025-07-14 16:30:45 +02:00
2025-08-01 11:37:12 +01:00
2025-07-23 11:47:52 +01:00
2025-07-22 15:06:09 +01:00
2025-03-19 15:14:13 +01:00
2025-04-08 08:20:54 +02:00
2018-09-23 16:24:31 -07:00
2024-10-30 12:26:34 +01:00
2022-04-12 12:40:59 +02:00
2024-05-07 13:09:08 +01:00

CodeQL

This open source repository contains the standard CodeQL libraries and queries that power GitHub Advanced Security and the other application security products that GitHub makes available to its customers worldwide.

How do I learn CodeQL and run queries?

There is extensive documentation about the CodeQL language, writing CodeQL using the CodeQL extension for Visual Studio Code and using the CodeQL CLI.

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We welcome contributions to our standard library and standard checks. Do you have an idea for a new check, or how to improve an existing query? Then please go ahead and open a pull request! Before you do, though, please take the time to read our contributing guidelines. You can also consult our style guides to learn how to format your code for consistency and clarity, how to write query metadata, and how to write query help documentation for your query.

For information on contributing to CodeQL documentation, see the "contributing guide" for docs.

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Description
CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security
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