Shared: Re-factor summary, source and sink model generators into separate modules. #19382
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| private import semmle.code.cpp.ir.IR | ||
| private import semmle.code.cpp.dataflow.ExternalFlow as ExternalFlow | ||
| private import semmle.code.cpp.ir.dataflow.internal.DataFlowImplCommon as DataFlowImplCommon | ||
| private import semmle.code.cpp.ir.dataflow.internal.DataFlowImplSpecific | ||
| private import semmle.code.cpp.ir.dataflow.internal.DataFlowPrivate as DataFlowPrivate | ||
| private import semmle.code.cpp.dataflow.internal.FlowSummaryImpl as FlowSummaryImpl | ||
| private import semmle.code.cpp.ir.dataflow.internal.TaintTrackingImplSpecific | ||
| private import semmle.code.cpp.dataflow.new.TaintTracking | ||
| private import semmle.code.cpp.dataflow.new.TaintTracking as Tt |
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| private import semmle.code.cpp.ir.IR | ||
| private import semmle.code.cpp.dataflow.ExternalFlow as ExternalFlow | ||
| private import semmle.code.cpp.ir.dataflow.internal.DataFlowImplCommon as DataFlowImplCommon | ||
| private import semmle.code.cpp.ir.dataflow.internal.DataFlowImplSpecific | ||
| private import semmle.code.cpp.ir.dataflow.internal.DataFlowPrivate as DataFlowPrivate | ||
| private import semmle.code.cpp.dataflow.internal.FlowSummaryImpl as FlowSummaryImpl | ||
| private import semmle.code.cpp.ir.dataflow.internal.TaintTrackingImplSpecific | ||
| private import semmle.code.cpp.dataflow.new.TaintTracking | ||
| private import semmle.code.cpp.dataflow.new.TaintTracking as Tt | ||
| private import semmle.code.cpp.dataflow.new.DataFlow as Df |
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Names only differing by case Warning
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In this PR we re-write the model generator into separate (nested) parameterized modules. Prior to this change it was only possible to create a model generator that could create summaries, neutrals, source and sinks. If only summary/neutral models are of interest, one still needed to provide all the source and sink model generation related parameters (as these were included in the input signature for model generator). With this change the model generator is turned into a series of nested parameterized modules.
That is, to create a model generator one now needs to
Furthermore, in this PR we sprinkle sensible predicate defaults for some of the model generator input predicates.