Python: Start using the shared data flow libraries

config/identical-files.json

@@ -1,5 +1,5 @@
 {
-  "DataFlow Java/C++/C#": [
+  "DataFlow Java/C++/C#/Python": [
     "java/ql/src/semmle/code/java/dataflow/internal/DataFlowImpl.qll",
     "java/ql/src/semmle/code/java/dataflow/internal/DataFlowImpl2.qll",
     "java/ql/src/semmle/code/java/dataflow/internal/DataFlowImpl3.qll",
@@ -18,15 +18,18 @@
     "csharp/ql/src/semmle/code/csharp/dataflow/internal/DataFlowImpl2.qll",
     "csharp/ql/src/semmle/code/csharp/dataflow/internal/DataFlowImpl3.qll",
     "csharp/ql/src/semmle/code/csharp/dataflow/internal/DataFlowImpl4.qll",
-    "csharp/ql/src/semmle/code/csharp/dataflow/internal/DataFlowImpl5.qll"
+    "csharp/ql/src/semmle/code/csharp/dataflow/internal/DataFlowImpl5.qll",
+    "python/ql/src/experimental/dataflow/internal/DataFlowImpl.qll",
+    "python/ql/src/experimental/dataflow/internal/DataFlowImpl2.qll"
   ],
-  "DataFlow Java/C++/C# Common": [
+  "DataFlow Java/C++/C#/Python Common": [
     "java/ql/src/semmle/code/java/dataflow/internal/DataFlowImplCommon.qll",
     "cpp/ql/src/semmle/code/cpp/dataflow/internal/DataFlowImplCommon.qll",
     "cpp/ql/src/semmle/code/cpp/ir/dataflow/internal/DataFlowImplCommon.qll",
-    "csharp/ql/src/semmle/code/csharp/dataflow/internal/DataFlowImplCommon.qll"
+    "csharp/ql/src/semmle/code/csharp/dataflow/internal/DataFlowImplCommon.qll",
+    "python/ql/src/experimental/dataflow/internal/DataFlowImplCommon.qll"
   ],
-  "TaintTracking::Configuration Java/C++/C#": [
+  "TaintTracking::Configuration Java/C++/C#/Python": [
     "cpp/ql/src/semmle/code/cpp/dataflow/internal/tainttracking1/TaintTrackingImpl.qll",
     "cpp/ql/src/semmle/code/cpp/dataflow/internal/tainttracking2/TaintTrackingImpl.qll",
     "cpp/ql/src/semmle/code/cpp/ir/dataflow/internal/tainttracking1/TaintTrackingImpl.qll",
@@ -37,13 +40,15 @@
     "csharp/ql/src/semmle/code/csharp/dataflow/internal/tainttracking4/TaintTrackingImpl.qll",
     "csharp/ql/src/semmle/code/csharp/dataflow/internal/tainttracking5/TaintTrackingImpl.qll",
     "java/ql/src/semmle/code/java/dataflow/internal/tainttracking1/TaintTrackingImpl.qll",
-    "java/ql/src/semmle/code/java/dataflow/internal/tainttracking2/TaintTrackingImpl.qll"
+    "java/ql/src/semmle/code/java/dataflow/internal/tainttracking2/TaintTrackingImpl.qll",
+    "python/ql/src/experimental/dataflow/internal/tainttracking1/TaintTrackingImpl.qll"
   ],
-  "DataFlow Java/C++/C# Consistency checks": [
+  "DataFlow Java/C++/C#/Python Consistency checks": [
     "java/ql/src/semmle/code/java/dataflow/internal/DataFlowImplConsistency.qll",
     "cpp/ql/src/semmle/code/cpp/dataflow/internal/DataFlowImplConsistency.qll",
     "cpp/ql/src/semmle/code/cpp/ir/dataflow/internal/DataFlowImplConsistency.qll",
-    "csharp/ql/src/semmle/code/csharp/dataflow/internal/DataFlowImplConsistency.qll"
+    "csharp/ql/src/semmle/code/csharp/dataflow/internal/DataFlowImplConsistency.qll",
+    "python/ql/src/experimental/dataflow/internal/DataFlowImplConsistency.qll"
   ],
   "C++ SubBasicBlocks": [
     "cpp/ql/src/semmle/code/cpp/controlflow/SubBasicBlocks.qll",

python/ql/src/experimental/dataflow/DataFlow.qll

@@ -0,0 +1,26 @@
+/**
+ * Provides a library for local (intra-procedural) and global (inter-procedural)
+ * data flow analysis: deciding whether data can flow from a _source_ to a
+ * _sink_.
+ *
+ * Unless configured otherwise, _flow_ means that the exact value of
+ * the source may reach the sink. We do not track flow across pointer
+ * dereferences or array indexing. To track these types of flow, where the
+ * exact value may not be preserved, import
+ * `experimental.dataflow.TaintTracking`.
+ *
+ * To use global (interprocedural) data flow, extend the class
+ * `DataFlow::Configuration` as documented on that class. To use local
+ * (intraprocedural) data flow, call `DataFlow::localFlow` or
+ * `DataFlow::localFlowStep` with arguments of type `DataFlow::Node`.
+ */
+
+import python
+
+/**
+ * Provides classes for performing local (intra-procedural) and
+ * global (inter-procedural) data flow analyses.
+ */
+module DataFlow {
+  import experimental.dataflow.internal.DataFlowImpl
+}

python/ql/src/experimental/dataflow/DataFlow2.qll

@@ -0,0 +1,26 @@
+/**
+ * Provides a library for local (intra-procedural) and global (inter-procedural)
+ * data flow analysis: deciding whether data can flow from a _source_ to a
+ * _sink_.
+ *
+ * Unless configured otherwise, _flow_ means that the exact value of
+ * the source may reach the sink. We do not track flow across pointer
+ * dereferences or array indexing. To track these types of flow, where the
+ * exact value may not be preserved, import
+ * `experimental.dataflow.TaintTracking`.
+ *
+ * To use global (interprocedural) data flow, extend the class
+ * `DataFlow::Configuration` as documented on that class. To use local
+ * (intraprocedural) data flow, call `DataFlow::localFlow` or
+ * `DataFlow::localFlowStep` with arguments of type `DataFlow::Node`.
+ */
+
+import python
+
+/**
+ * Provides classes for performing local (intra-procedural) and
+ * global (inter-procedural) data flow analyses.
+ */
+module DataFlow2 {
+  import experimental.dataflow.internal.DataFlowImpl2
+}

python/ql/src/experimental/dataflow/TaintTracking.qll

@@ -0,0 +1,19 @@
+/**
+ * Provides classes for performing local (intra-procedural) and
+ * global (inter-procedural) taint-tracking analyses.
+ *
+ * To use global (interprocedural) taint tracking, extend the class
+ * `TaintTracking::Configuration` as documented on that class. To use local
+ * (intraprocedural) taint tracking, call `TaintTracking::localTaint` or
+ * `TaintTracking::localTaintStep` with arguments of type `DataFlow::Node`.
+ */
+
+import python
+
+/**
+ * Provides classes for performing local (intra-procedural) and
+ * global (inter-procedural) taint-tracking analyses.
+ */
+module TaintTracking {
+  import experimental.dataflow.internal.tainttracking1.TaintTrackingImpl
+}