Summary:
Currently, `Callbacks.analyze_procedures` creates a function to call the method `Callbacks.iterate_procedure_callbacks`. This is supplied as an argument to functions in `ondemand.ml`, so that it can be invoked. This is done to avoid a cyclic dependancy.
This diff moves the functions that `ondemand.ml` needs to call into `ondemand.ml`, avoiding the need to supply them as arguments.
Reviewed By: ngorogiannis
Differential Revision: D16028836
fbshipit-source-id: 16ae27a3e
Summary:
This can take a minute or so during which the user would have no idea
what infer is doing.
Reviewed By: ngorogiannis
Differential Revision: D16005393
fbshipit-source-id: 586812527
Summary:
No need to hide the real reason for the crash behind another crash when
trying to print the error message.
Reviewed By: mbouaziz, ngorogiannis
Differential Revision: D16005394
fbshipit-source-id: dc3d9437e
Summary:
Replace Hashtbl.clear with Hashtbl.reset
This saves memory because the reset method shrinks the hash-table, whereas the clear method just empties it
Reviewed By: jvillard
Differential Revision: D16004966
fbshipit-source-id: f32b00b0f
Summary: Preanalysis is performed at the frontend now. Hence, we don't need to repeatedly check/set when/if it is performed.
Reviewed By: mbouaziz
Differential Revision: D15863175
fbshipit-source-id: f9c6b7ae1
Summary:
One "interesting" feature of the approach of merging the captured targets in Java, is that we union their type environments, as opposed to store partial tenvs together with each source file, which is the case for Clang.
This means
- the final global type environment is potentially huge because it contains all the types in all targets.
- all analysis workers start by loading that tenv in memory, meaning we consume `|size of tenv| x #cpus` memory, which can tip the balance towards OOMs
This diff attempts to economise on global tenv size. This is done by increasing sharing which is then preserved by marshalling. It's done in a brute force way, with hashtables for each struct component, and is not fully effective due to the recursion amongst types and types names, as well types appearing inside other constructs such as procnames.
This is done when calling `Tenv.store` so that
- the computation can be parallelised somewhat (capture is parallel, merging is not)
- buck caching will benefit from smaller tenvs.
This saves about 24% of total memory devoted to the type environment.
Reviewed By: mbouaziz
Differential Revision: D15840054
fbshipit-source-id: 6f03be1a4
Summary:
- Add allocation costs to `costs-report.json` and enable diffing over allocation costs.
- Also, let's be more consistent and modular in naming our cost issues.
- introduce a generic issue type `X_TIME_COMPLEXITY_INCREASE` where `X` can be one of the cost kinds. If the function is on the cold start, issue can have the `COLD_START` suffix. Similarly for infinite/zero/expensive calls.
- Change `PERFORMANCE_VARIATION` -> `EXECUTION_TIME_COMPLEXITY_INCREASE`
- Add new issue type for `ALLOCATION_COMPLEXITY_INCREASE_COLD_START` which will be enabled by default
- Refactor cost issues to be more modular and succinct. This also makes addition of a new cost kind very easy by adding the kind into the `enabled_cost_kinds` list in `CostKind.ml`
Reviewed By: mbouaziz
Differential Revision: D15822681
fbshipit-source-id: cf89ece59
Summary:
I realized that there was a discrepancy in the # of instructions between whether we run a single analysis or multiple analyses at the same time. It turns out that in biabduction, bufferoverrun and other HIL analyses we did Preanalysis step (which adds scope instructions and invokes liveness etc.) but not in others. This discrepancy results in inconsistent analysis results (e.g. in the new inefficient-keyset-iterator) that rely on instructions. We should be consistent. Hence, we now invoke Preanalysis in the frontend and remove all other uses in the rest of the checkers.
Consequently, I had to update the inefficient-keyset-checker to take the CFG resulting from Preanalysis with extra scoping instructions.
Reviewed By: mbouaziz, ngorogiannis, jvillard
Differential Revision: D15803492
fbshipit-source-id: 4e21eb610
Summary:
The synthetic methods from `topl.Property` are now nonempty: they
simulate a nondeterministic automaton.
Reviewed By: jvillard
Differential Revision: D15668471
fbshipit-source-id: 050408283
Summary:
Instrument SIL according to TOPL properties. Roughly, the
instrumentation is a set of calls into procedures that simulate a
nondeterministic automaton. For now, those procedures are NOP dummies.
Reviewed By: jvillard
Differential Revision: D15063942
fbshipit-source-id: d22c2f6fa
Summary: There can be A LOT of procedures -- currently we log two lines (started/done) for each one, when doing call graph scheduling. This leads to ridiculously long log files. Switch to only log these messages in the log file and only if we are verbose logging.
Reviewed By: jvillard
Differential Revision: D15413330
fbshipit-source-id: 6e26693e8
Summary:
Before: no links to procedure summary and nodes in header file debug html
Now: some or all of them if you are lucky enough
Reviewed By: jvillard
Differential Revision: D15279379
fbshipit-source-id: a145f9e66
Summary:
Before: they are written only when the file is fully analyzed.
Now: a first version is written as soon as the file gets analyzed so that we get links to nodes, the final version overwrites it
Reviewed By: jvillard
Differential Revision: D15279351
fbshipit-source-id: a3120aa31
Summary:
API and stub implementation for real-time logging capabilities.
Low-level implementation requires interaction with FB-specific deployment of Scribe, hence it is stubbed out.
Reviewed By: jberdine
Differential Revision: D15259559
fbshipit-source-id: 712cb99e1
Summary:
A more dynamic scheduling scheme will potentially run into the situation where no new work packets can be scheduled, but more work will be possible to schedule in the future, perhaps when some dependent work packet finishes being analysed.
The current implementation prevents that, as it expects that if a worker goes idle, it stays idle.
The changes here address this in two parts:
- the `select` call is always given a finite timeout. If given an infinite timeout, we will not be able to poll the task generator for more work, where none were previously possible.
- when the `select` call times out without updates, check if there is an idle child, and if so if the task generator has more work right now.
See also ProcessPool.mli for comments.
Reviewed By: mbouaziz
Differential Revision: D15197749
fbshipit-source-id: babe5da8e
Summary:
Before moving to any kind of non-trivial scheduling, we need to change the Tasks interface.
In particular, it's too restrictive to expect that the tasks to be scheduled are provided as a list before starting execution. For example, dynamic scheduling does not fit the bill here. Also, the list expectation means all scheduling work has to be done up front.
The solution here is to move to a `Sequence`-like interface with one difference:
- The function returning the next task expects a task option argument. That argument is the task that was just finished (if any) by the worker expecting new work. This will be useful for things like task dependencies (for instance, a procedure has been analysed, and can be marked so).
Reviewed By: mbouaziz
Differential Revision: D15181613
fbshipit-source-id: 21f3ba825
Summary:
Adds option `--summary-stats` to `infer report`.
The formatting is not perfect yet but it gives what I want.
Reviewed By: ngorogiannis
Differential Revision: D15064162
fbshipit-source-id: 56c4b4929
Summary: Using `Fields.to_list` also makes sure we don't forget fields.
Reviewed By: ezgicicek
Differential Revision: D15062353
fbshipit-source-id: aaac9be99
Summary:
TOPL properties are essentially automata, which will be modeled as a set
of procedures. The code-to-analyze makes calls into these procedures,
thereby driving the automaton. In this commit, these calls do not do
anything. The point is to prepare the hook-up mechanism.
Reviewed By: jvillard
Differential Revision: D14819650
fbshipit-source-id: d95ecdb3d
Summary:
This is in preparation of interprocedural pulse. The abstract addresses
generator keeps a reference to create fresh addresses, but that's a
piece of global state that needs to persist across ondemand analyses.
Reviewed By: jberdine
Differential Revision: D14324760
fbshipit-source-id: 5cdb1d3f5
Summary:
Instead of emitting an ad-hoc builtin on variable declaration emit a new
metadata instruction. This allows us to remove the code matching on that
ad-hoc builtin that had to be inserted in several checkers.
Inferbo & pulse used that information meaningfully and had to undergo
some minor changes to cope with the new metada instruction.
Reviewed By: ezgicicek
Differential Revision: D14833100
fbshipit-source-id: 9b3009d22
Ezgi Çiçek
Phoebe Nichols
Jules Villard
Radu Grigore
Artem Pianykh
Nikos Gorogiannis
Josh Berdine
Mehdi Bouaziz
Mitya Lyubarskiy
Martin Trojer
Dino Distefano
Jeremy Dubreil