Taus e2f79d8516 Python: Fix several bad getScope joins
It seems the optimiser has started getting the wrong end of the stick
whenever we write `foo.getScope() = bar.getScope()` for some expressions
`foo` and `bar`.

This lead to things like

```
(196s) Tuple counts for Definitions::ModuleVariable::global_variable_callnode#ff/2@5ab278 after 2m33s:
2952757013 ~0%     {2} r1 = JOIN Definitions::ModuleVariable::global_variable_callnode#ff#shared WITH Variables::Variable::getScope_dispred#ff_10#join_rhs ON FIRST 1 OUTPUT Rhs.1 'this', Lhs.1 'result'
495693     ~0%     {2} r2 = JOIN r1 WITH Variables::GlobalVariable#class#f ON FIRST 1 OUTPUT Lhs.0 'this', Lhs.1 'result'
453589     ~0%     {2} r3 = JOIN r2 WITH Definitions::ModuleVariable#f ON FIRST 1 OUTPUT Lhs.0 'this', Lhs.1 'result'
                   return r3
```

and

```
(315s) Tuple counts for Definitions::SsaSourceVariable::getAUse_dispred#ff/2@a39328 after 1m57s:
...
1785275    ~3%       {2} r24 = Definitions::ModuleVariable::global_variable_callnode#ff#shared UNION Definitions::SsaSourceVariable::getAUse_dispred#ff#shared
3008614987 ~0%       {2} r25 = JOIN r24 WITH Variables::Variable::getScope_dispred#ff_10#join_rhs ON FIRST 1 OUTPUT Rhs.1 'this', Lhs.1 'result'
127        ~1%       {2} r26 = JOIN r25 WITH Definitions::NonLocalVariable#class#f ON FIRST 1 OUTPUT Lhs.0 'this', Lhs.1 'result'
127        ~1%       {2} r27 = JOIN r26 WITH Variables::LocalVariable#f ON FIRST 1 OUTPUT Lhs.0 'this', Lhs.1 'result'
...
```

(Note the timings: 2m33s and 1m57s.)

Now we have the much more reasonable

```
(38s) Tuple counts for Definitions::ModuleVariable::global_variable_callnode#ff/2@c53031 after 42ms:
453589 ~0%     {2} r1 = JOIN Definitions::ModuleVariable::global_variable_callnode#ff#shared WITH Definitions::ModuleVariable::scope_as_global_variable#ff_10#join_rhs ON FIRST 1 OUTPUT Rhs.1 'this', Lhs.1 'result'
               return r1
```

and

```
(46s) Tuple counts for Definitions::SsaSourceVariable::getAUse_dispred#ff/2@4b19de after 375ms:
...
```
2021-11-09 20:54:41 +00:00
2021-10-25 17:01:50 +02:00
2018-09-23 16:24:31 -07:00
2021-10-05 13:42:36 -07:00
2021-10-15 15:38:16 +02:00
2021-10-28 12:04:48 +01:00
2020-04-07 12:03:26 +01:00
2021-09-28 15:12:36 +02:00

CodeQL

This open source repository contains the standard CodeQL libraries and queries that power LGTM and the other CodeQL products that GitHub makes available to its customers worldwide. For the queries, libraries, and extractor that power Go analysis, visit the CodeQL for Go repository.

How do I learn CodeQL and run queries?

There is extensive documentation on getting started with writing CodeQL. You can use the interactive query console on LGTM.com or the CodeQL for Visual Studio Code extension to try out your queries on any open source project that's currently being analyzed.

Contributing

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.

License

The code in this repository is licensed under the MIT License by GitHub.

Visual Studio Code integration

If you use Visual Studio Code to work in this repository, there are a few integration features to make development easier.

CodeQL for Visual Studio Code

You can install the CodeQL for Visual Studio Code extension to get syntax highlighting, IntelliSense, and code navigation for the QL language, as well as unit test support for testing CodeQL libraries and queries.

Tasks

The .vscode/tasks.json file defines custom tasks specific to working in this repository. To invoke one of these tasks, select the Terminal | Run Task... menu option, and then select the desired task from the dropdown. You can also invoke the Tasks: Run Task command from the command palette.

Description
CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security
Readme MIT 19 GiB
Languages
CodeQL 32.4%
Kotlin 27.4%
C# 17.1%
Java 7.6%
Python 4.6%
Other 10.7%