yoff 79db96c717 Python: introduce shared-SSA adapter on the new CFG
Adds 'python/ql/lib/semmle/python/dataflow/new/internal/SsaImpl.qll', a
minimal Python SSA implementation built on the shared SSA library
('codeql.ssa.Ssa::Make<Location, Cfg, Input>'). The structure mirrors
Java's adapter at 'java/ql/lib/semmle/code/java/dataflow/internal/SsaImpl.qll'.

Key design choices:

  * 'SourceVariable' wraps 'Py::Variable'. Only variables that are read
    or deleted somewhere are tracked - write-only variables don't
    benefit from SSA construction.

  * Variable references are positional ('BasicBlock', 'int') pairs
    looked up via 'Cfg::NameNode.defines'/'.uses'/'.deletes' (which
    themselves are one-line bridges to AST-level 'Name.defines' etc.).

  * Parameter writes are not synthesised: parameter Name nodes are
    already wired into the CFG (per the earlier C#-style parameter
    extension in 'AstNodeImpl.qll'), so the regular 'variableWrite'
    path handles them at their natural CFG index.

  * Non-local / captured / global / builtin variables read in a scope
    but not written in it receive a synthetic entry definition at
    index '-1' of the scope's entry basic block. This matches Java's
    'hasEntryDef'.

  * 'del x' is modelled as a certain write at the deletion site.

Includes an inline-expectations test under
'python/ql/test/library-tests/dataflow-new-ssa/' covering:
plain parameter pass-through, simple assignment + read, reassignment
with dead-write pruning, if/else with phi insertion at the join, and
an undefined-name read (currently a known limitation - no SSA flow
without an enclosing definition).

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-05-26 16:32:43 +00:00
2026-05-06 08:39:41 +02:00
2022-10-20 08:21:02 -04:00
2026-03-16 08:51:51 +01:00
2026-05-22 11:02:30 +00:00
2026-05-12 12:57:26 +00:00
2026-02-10 13:44:04 +01:00
2018-09-23 16:24:31 -07:00
2025-09-25 14:03:39 +01:00
2026-05-08 13:41:45 +00:00
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.

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.

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

License

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

The CodeQL CLI (including the CodeQL engine) is hosted in a different repository and is licensed separately. If you'd like to use the CodeQL CLI to analyze closed-source code, you will need a separate commercial license; please contact us for further help.

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
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