Merge pull request #3138 from jf205/recent-changes

docs: fix links in Python articles (rc/1.23)

docs/language/learn-ql/cpp/dataflow.rst

@@ -45,7 +45,7 @@ or using the predicates ``exprNode`` and ``parameterNode``:
     */
    ParameterNode parameterNode(Parameter p) { ... }
 
-The predicate ``localFlowStep(Node nodeFrom, Node, nodeTo)`` holds if there is an immediate data flow edge from the node ``nodeFrom`` to the node ``nodeTo``. The predicate can be applied recursively (using the ``+`` and ``*`` operators), or through the predefined recursive predicate ``localFlow``, which is equivalent to ``localFlowStep*``.
+The predicate ``localFlowStep(Node nodeFrom, Node nodeTo)`` holds if there is an immediate data flow edge from the node ``nodeFrom`` to the node ``nodeTo``. The predicate can be applied recursively (using the ``+`` and ``*`` operators), or through the predefined recursive predicate ``localFlow``, which is equivalent to ``localFlowStep*``.
 
 For example, finding flow from a parameter ``source`` to an expression ``sink`` in zero or more local steps can be achieved as follows:
 

docs/language/learn-ql/java/dataflow.rst

@@ -45,7 +45,7 @@ or using the predicates ``exprNode`` and ``parameterNode``:
     */
    ParameterNode parameterNode(Parameter p) { ... }
 
-The predicate ``localFlowStep(Node nodeFrom, Node, nodeTo)`` holds if there is an immediate data flow edge from the node ``nodeFrom`` to the node ``nodeTo``. The predicate can be applied recursively (using the ``+`` and ``*`` operators), or through the predefined recursive predicate ``localFlow``, which is equivalent to ``localFlowStep*``.
+The predicate ``localFlowStep(Node nodeFrom, Node nodeTo)`` holds if there is an immediate data flow edge from the node ``nodeFrom`` to the node ``nodeTo``. The predicate can be applied recursively (using the ``+`` and ``*`` operators), or through the predefined recursive predicate ``localFlow``, which is equivalent to ``localFlowStep*``.
 
 For example, finding flow from a parameter ``source`` to an expression ``sink`` in zero or more local steps can be achieved as follows:
 

docs/language/learn-ql/python/introduce-libraries-python.rst

@@ -158,7 +158,7 @@ Summary
 
 The most commonly used standard classes in the syntactic part of the library are organized as follows:
 
-``Module``, ``Class``, ``Function``, ``Stmt``, and ``Expr`` - they are all subclasses of `AstNode <https://help.semmle.com/qldoc/python/semmle/python/AST.qll/type.AST$AstNode.html>`__.
+``Module``, ``Class``, ``Function``, ``Stmt``, and ``Expr`` - they are all subclasses of `AstNode <https://help.semmle.com/qldoc/python/semmle/python/AstExtended.qll/type.AstExtended$AstNode.html>`__.
 
 Abstract syntax tree
 ''''''''''''''''''''
@@ -323,8 +323,8 @@ The CodeQL library for Python also supplies classes to specify taint-tracking an
 Summary
 ~~~~~~~
 
-- `TaintKind <https://help.semmle.com/qldoc/python/semmle/python/security/TaintTracking.qll/type.TaintTracking$TaintKind.html>`__
-- `Configuration <https://help.semmle.com/qldoc/python/semmle/python/security/TaintTracking.qll/type.TaintTracking$TaintTracking$Configuration.html>`__
+- `TaintKind <https://help.semmle.com/qldoc/python/semmle/python/dataflow/TaintTracking.qll/type.TaintTracking$TaintKind.html>`__
+- `Configuration <https://help.semmle.com/qldoc/python/semmle/python/dataflow/Configuration.qll/type.Configuration$TaintTracking$Configuration.html>`__
 
 These classes are explained in more detail in :doc:`Tutorial: Taint tracking and data flow analysis in Python <taint-tracking>`.
 

docs/language/learn-ql/python/taint-tracking.rst

@@ -21,20 +21,20 @@ For further information on data flow and taint tracking with CodeQL, see :doc:`I
 Fundamentals of taint tracking and data flow analysis
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-The taint tracking library is in the `TaintTracking <https://help.semmle.com/qldoc/python/semmle/python/security/TaintTracking.qll/module.TaintTracking.html>`__ module.
+The taint tracking library is in the `TaintTracking <https://help.semmle.com/qldoc/python/semmle/python/dataflow/TaintTracking.qll/module.TaintTracking.html>`__ module.
 Any taint tracking or data flow analysis query has three explicit components, one of which is optional, and an implicit component.
 The explicit components are:
 
-1. One or more ``sources`` of potentially insecure or unsafe data, represented by the `TaintTracking::Source <https://help.semmle.com/qldoc/python/semmle/python/security/TaintTracking.qll/type.TaintTracking$TaintSource.html>`__ class.
-2. One or more ``sinks``, to where the data or taint may flow, represented by the `TaintTracking::Sink <https://help.semmle.com/qldoc/python/semmle/python/security/TaintTracking.qll/type.TaintTracking$TaintSink.html>`__ class.
-3. Zero or more ``sanitizers``, represented by the `Sanitizer <https://help.semmle.com/qldoc/python/semmle/python/security/TaintTracking.qll/type.TaintTracking$Sanitizer.html>`__ class.
+1. One or more ``sources`` of potentially insecure or unsafe data, represented by the `TaintTracking::Source <https://help.semmle.com/qldoc/python/semmle/python/dataflow/TaintTracking.qll/type.TaintTracking$TaintSource.html>`__ class.
+2. One or more ``sinks``, to where the data or taint may flow, represented by the `TaintTracking::Sink <https://help.semmle.com/qldoc/python/semmle/python/dataflow/TaintTracking.qll/type.TaintTracking$TaintSink.html>`__ class.
+3. Zero or more ``sanitizers``, represented by the `Sanitizer <https://help.semmle.com/qldoc/python/semmle/python/dataflow/TaintTracking.qll/type.TaintTracking$Sanitizer.html>`__ class.
 
 A taint tracking or data flow query gives results when there is the flow of data from a source to a sink, which is not blocked by a sanitizer.
 
-These three components are bound together using a `TaintTracking::Configuration <https://help.semmle.com/qldoc/python/semmle/python/security/TaintTracking.qll/type.TaintTracking$TaintTracking$Configuration.html>`__.
+These three components are bound together using a `TaintTracking::Configuration <https://help.semmle.com/qldoc/python/semmle/python/dataflow/Configuration.qll/type.Configuration$TaintTracking$Configuration.html>`__.
 The purpose of the configuration is to specify exactly which sources and sinks are relevant to the specific query.
 
-The final, implicit component is the "kind" of taint, represented by the `TaintKind <https://help.semmle.com/qldoc/python/semmle/python/security/TaintTracking.qll/type.TaintTracking$TaintKind.html>`__ class.
+The final, implicit component is the "kind" of taint, represented by the `TaintKind <https://help.semmle.com/qldoc/python/semmle/python/dataflow/TaintTracking.qll/type.TaintTracking$TaintKind.html>`__ class.
 The kind of taint determines which non-value-preserving steps are possible, in addition to value-preserving steps that are built into the analysis.
 In the above example ``dir = path + "/"``, taint flows from ``path`` to ``dir`` if the taint represents a string, but not if the taint is ``None``.
 

docs/language/ql-spec/language.rst

@@ -1075,10 +1075,16 @@ Apart from the presence or absence of the rank variable, all other reduced forms
 
 -  If the formula is omitted, then it is taken to be ``any()``.
 -  If there are no aggregation expressions, then either: 
-   + The aggregation id is ``count`` or ``strictcount`` and the expression is taken to be ``1``. 
-   + There must be precisely one variable declaration, and the aggregation expression is taken to be a reference to that variable.
+
+   - The aggregation id is ``count`` or ``strictcount`` and the expression is taken to be ``1``. 
+   - There must be precisely one variable declaration, and the aggregation expression is taken to be a reference to that variable.
+
 -  If the aggregation id is ``concat`` or ``strictconcat`` and it has a single expression then the second expression is taken to be ``""``.
--  If the ``monotonicAggregates`` language pragma is not enabled, or the original formula and variable declarations are both omitted, then the aggregate is transformed as follows: - For each aggregation expression ``expr_i``, a fresh variable ``v_i`` is declared with the same type as the expression in addition to the original variable declarations. - The new range is the conjunction of the original range and a term ``v_i = expr_i`` for each aggregation expression ``expr_i``. - Each original aggregation expression ``expr_i`` is replaced by a new aggregation expression ``v_i``.
+-  If the ``monotonicAggregates`` language pragma is not enabled, or the original formula and variable declarations are both omitted, then the aggregate is transformed as follows: 
+
+   - For each aggregation expression ``expr_i``, a fresh variable ``v_i`` is declared with the same type as the expression in addition to the original variable declarations. 
+   - The new range is the conjunction of the original range and a term ``v_i = expr_i`` for each aggregation expression ``expr_i``.
+   - Each original aggregation expression ``expr_i`` is replaced by a new aggregation expression ``v_i``.
 
 The variables in the variable declarations list must not occur in the typing environment.