mirror of
https://github.com/KhronosGroup/SPIRV-Tools
synced 2024-11-30 06:50:06 +00:00
29ba53f2a2
Fixes #3384.
340 lines
13 KiB
C++
340 lines
13 KiB
C++
// Copyright (c) 2019 Google LLC
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifndef SOURCE_FUZZ_FUZZER_CONTEXT_H_
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#define SOURCE_FUZZ_FUZZER_CONTEXT_H_
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#include <functional>
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#include <utility>
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#include "source/fuzz/random_generator.h"
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#include "source/opt/function.h"
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namespace spvtools {
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namespace fuzz {
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// Encapsulates all parameters that control the fuzzing process, such as the
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// source of randomness and the probabilities with which transformations are
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// applied.
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class FuzzerContext {
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public:
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// Constructs a fuzzer context with a given random generator and the minimum
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// value that can be used for fresh ids.
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FuzzerContext(RandomGenerator* random_generator, uint32_t min_fresh_id);
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~FuzzerContext();
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// Returns a random boolean.
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bool ChooseEven();
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// Returns true if and only if a randomly-chosen integer in the range [0, 100]
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// is less than |percentage_chance|.
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bool ChoosePercentage(uint32_t percentage_chance);
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// Returns a random index into |sequence|, which is expected to have a 'size'
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// method, and which must be non-empty. Typically 'HasSizeMethod' will be an
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// std::vector.
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template <typename HasSizeMethod>
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uint32_t RandomIndex(const HasSizeMethod& sequence) const {
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assert(sequence.size() > 0);
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return random_generator_->RandomUint32(
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static_cast<uint32_t>(sequence.size()));
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}
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// Selects a random index into |sequence|, removes the element at that index
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// and returns it.
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template <typename T>
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T RemoveAtRandomIndex(std::vector<T>* sequence) const {
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uint32_t index = RandomIndex(*sequence);
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T result = sequence->at(index);
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sequence->erase(sequence->begin() + index);
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return result;
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}
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// Randomly shuffles a |sequence| between |lo| and |hi| indices inclusively.
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// |lo| and |hi| must be valid indices to the |sequence|
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template <typename T>
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void Shuffle(std::vector<T>* sequence, size_t lo, size_t hi) const {
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auto& array = *sequence;
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if (array.empty()) {
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return;
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}
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assert(lo <= hi && hi < array.size() && "lo and/or hi indices are invalid");
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// i > lo to account for potential infinite loop when lo == 0
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for (size_t i = hi; i > lo; --i) {
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auto index =
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random_generator_->RandomUint32(static_cast<uint32_t>(i - lo + 1));
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if (lo + index != i) {
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// Introduce std::swap to the scope but don't use it
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// directly since there might be a better overload
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using std::swap;
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swap(array[lo + index], array[i]);
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}
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}
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}
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// Ramdomly shuffles a |sequence|
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template <typename T>
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void Shuffle(std::vector<T>* sequence) const {
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if (!sequence->empty()) {
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Shuffle(sequence, 0, sequence->size() - 1);
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}
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}
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// Yields an id that is guaranteed not to be used in the module being fuzzed,
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// or to have been issued before.
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uint32_t GetFreshId();
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// Returns a vector of |count| fresh ids.
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std::vector<uint32_t> GetFreshIds(const uint32_t count);
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// Probabilities associated with applying various transformations.
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// Keep them in alphabetical order.
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uint32_t GetChanceOfAddingAccessChain() {
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return chance_of_adding_access_chain_;
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}
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uint32_t GetChanceOfAddingAnotherStructField() {
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return chance_of_adding_another_struct_field_;
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}
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uint32_t GetChanceOfAddingArrayOrStructType() {
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return chance_of_adding_array_or_struct_type_;
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}
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uint32_t GetChanceOfAddingDeadBlock() { return chance_of_adding_dead_block_; }
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uint32_t GetChanceOfAddingDeadBreak() { return chance_of_adding_dead_break_; }
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uint32_t GetChanceOfAddingDeadContinue() {
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return chance_of_adding_dead_continue_;
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}
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uint32_t GetChanceOfAddingEquationInstruction() {
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return chance_of_adding_equation_instruction_;
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}
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uint32_t GetChanceOfAddingGlobalVariable() {
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return chance_of_adding_global_variable_;
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}
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uint32_t GetChanceOfAddingLoad() { return chance_of_adding_load_; }
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uint32_t GetChanceOfAddingLocalVariable() {
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return chance_of_adding_local_variable_;
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}
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uint32_t GetChanceOfAddingMatrixType() {
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return chance_of_adding_matrix_type_;
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}
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uint32_t GetChanceOfAddingNoContractionDecoration() {
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return chance_of_adding_no_contraction_decoration_;
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}
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uint32_t GetChanceOfAddingParameters() { return chance_of_adding_parameters; }
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uint32_t GetChanceOfAddingStore() { return chance_of_adding_store_; }
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uint32_t GetChanceOfAddingVectorShuffle() {
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return chance_of_adding_vector_shuffle_;
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}
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uint32_t GetChanceOfAddingVectorType() {
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return chance_of_adding_vector_type_;
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}
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uint32_t GetChanceOfAdjustingBranchWeights() {
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return chance_of_adjusting_branch_weights_;
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}
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uint32_t GetChanceOfAdjustingFunctionControl() {
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return chance_of_adjusting_function_control_;
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}
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uint32_t GetChanceOfAdjustingLoopControl() {
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return chance_of_adjusting_loop_control_;
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}
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uint32_t GetChanceOfAdjustingMemoryOperandsMask() {
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return chance_of_adjusting_memory_operands_mask_;
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}
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uint32_t GetChanceOfAdjustingSelectionControl() {
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return chance_of_adjusting_selection_control_;
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}
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uint32_t GetChanceOfCallingFunction() { return chance_of_calling_function_; }
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uint32_t GetChanceOfChoosingStructTypeVsArrayType() {
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return chance_of_choosing_struct_type_vs_array_type_;
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}
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uint32_t GetChanceOfConstructingComposite() {
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return chance_of_constructing_composite_;
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}
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uint32_t GetChanceOfCopyingObject() { return chance_of_copying_object_; }
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uint32_t GetChanceOfDonatingAdditionalModule() {
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return chance_of_donating_additional_module_;
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}
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uint32_t GetChanceOfGoingDeeperWhenMakingAccessChain() {
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return chance_of_going_deeper_when_making_access_chain_;
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}
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uint32_t ChanceOfMakingDonorLivesafe() {
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return chance_of_making_donor_livesafe_;
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}
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uint32_t GetChanceOfMergingBlocks() { return chance_of_merging_blocks_; }
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uint32_t GetChanceOfMovingBlockDown() { return chance_of_moving_block_down_; }
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uint32_t GetChanceOfObfuscatingConstant() {
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return chance_of_obfuscating_constant_;
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}
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uint32_t GetChanceOfOutliningFunction() {
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return chance_of_outlining_function_;
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}
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uint32_t GetChanceOfPermutingParameters() {
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return chance_of_permuting_parameters_;
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}
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uint32_t GetChanceOfPermutingPhiOperands() {
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return chance_of_permuting_phi_operands_;
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}
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uint32_t GetChanceOfPushingIdThroughVariable() {
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return chance_of_pushing_id_through_variable_;
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}
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uint32_t GetChanceOfReplacingIdWithSynonym() {
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return chance_of_replacing_id_with_synonym_;
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}
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uint32_t GetChanceOfReplacingLinearAlgebraInstructions() {
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return chance_of_replacing_linear_algebra_instructions_;
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}
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uint32_t GetChanceOfSplittingBlock() { return chance_of_splitting_block_; }
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uint32_t GetChanceOfSwappingConditionalBranchOperands() {
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return chance_of_swapping_conditional_branch_operands_;
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}
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uint32_t GetChanceOfTogglingAccessChainInstruction() {
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return chance_of_toggling_access_chain_instruction_;
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}
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// Other functions to control transformations. Keep them in alphabetical
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// order.
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uint32_t GetMaximumEquivalenceClassSizeForDataSynonymFactClosure() {
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return max_equivalence_class_size_for_data_synonym_fact_closure_;
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}
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uint32_t GetMaximumNumberOfFunctionParameters() {
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return max_number_of_function_parameters_;
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}
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std::pair<uint32_t, uint32_t> GetRandomBranchWeights() {
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std::pair<uint32_t, uint32_t> branch_weights = {0, 0};
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while (branch_weights.first == 0 && branch_weights.second == 0) {
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// Using INT32_MAX to do not overflow UINT32_MAX when the branch weights
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// are added together.
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branch_weights.first = random_generator_->RandomUint32(INT32_MAX);
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branch_weights.second = random_generator_->RandomUint32(INT32_MAX);
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}
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return branch_weights;
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}
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std::vector<uint32_t> GetRandomComponentsForVectorShuffle(
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uint32_t max_component_index) {
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// Component count must be in range [2, 4].
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std::vector<uint32_t> components(random_generator_->RandomUint32(2) + 2);
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for (uint32_t& component : components) {
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component = random_generator_->RandomUint32(max_component_index);
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}
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return components;
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}
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uint32_t GetRandomIndexForAccessChain(uint32_t composite_size_bound) {
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return random_generator_->RandomUint32(composite_size_bound);
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}
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uint32_t GetRandomLoopControlPartialCount() {
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return random_generator_->RandomUint32(max_loop_control_partial_count_);
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}
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uint32_t GetRandomLoopControlPeelCount() {
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return random_generator_->RandomUint32(max_loop_control_peel_count_);
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}
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uint32_t GetRandomLoopLimit() {
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return random_generator_->RandomUint32(max_loop_limit_);
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}
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uint32_t GetRandomNumberOfNewParameters(uint32_t num_of_params) {
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assert(num_of_params < GetMaximumNumberOfFunctionParameters());
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return ChooseBetweenMinAndMax(
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{1, std::min(max_number_of_new_parameters_,
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GetMaximumNumberOfFunctionParameters() - num_of_params)});
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}
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uint32_t GetRandomSizeForNewArray() {
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// Ensure that the array size is non-zero.
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return random_generator_->RandomUint32(max_new_array_size_limit_ - 1) + 1;
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}
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bool GoDeeperInConstantObfuscation(uint32_t depth) {
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return go_deeper_in_constant_obfuscation_(depth, random_generator_);
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}
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private:
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// The source of randomness.
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RandomGenerator* random_generator_;
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// The next fresh id to be issued.
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uint32_t next_fresh_id_;
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// Probabilities associated with applying various transformations.
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// Keep them in alphabetical order.
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uint32_t chance_of_adding_access_chain_;
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uint32_t chance_of_adding_another_struct_field_;
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uint32_t chance_of_adding_array_or_struct_type_;
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uint32_t chance_of_adding_dead_block_;
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uint32_t chance_of_adding_dead_break_;
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uint32_t chance_of_adding_dead_continue_;
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uint32_t chance_of_adding_equation_instruction_;
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uint32_t chance_of_adding_global_variable_;
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uint32_t chance_of_adding_load_;
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uint32_t chance_of_adding_local_variable_;
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uint32_t chance_of_adding_matrix_type_;
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uint32_t chance_of_adding_no_contraction_decoration_;
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uint32_t chance_of_adding_parameters;
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uint32_t chance_of_adding_store_;
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uint32_t chance_of_adding_vector_shuffle_;
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uint32_t chance_of_adding_vector_type_;
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uint32_t chance_of_adjusting_branch_weights_;
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uint32_t chance_of_adjusting_function_control_;
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uint32_t chance_of_adjusting_loop_control_;
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uint32_t chance_of_adjusting_memory_operands_mask_;
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uint32_t chance_of_adjusting_selection_control_;
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uint32_t chance_of_calling_function_;
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uint32_t chance_of_choosing_struct_type_vs_array_type_;
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uint32_t chance_of_constructing_composite_;
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uint32_t chance_of_copying_object_;
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uint32_t chance_of_donating_additional_module_;
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uint32_t chance_of_going_deeper_when_making_access_chain_;
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uint32_t chance_of_making_donor_livesafe_;
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uint32_t chance_of_merging_blocks_;
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uint32_t chance_of_moving_block_down_;
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uint32_t chance_of_obfuscating_constant_;
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uint32_t chance_of_outlining_function_;
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uint32_t chance_of_permuting_parameters_;
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uint32_t chance_of_permuting_phi_operands_;
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uint32_t chance_of_pushing_id_through_variable_;
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uint32_t chance_of_replacing_id_with_synonym_;
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uint32_t chance_of_replacing_linear_algebra_instructions_;
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uint32_t chance_of_splitting_block_;
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uint32_t chance_of_swapping_conditional_branch_operands_;
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uint32_t chance_of_toggling_access_chain_instruction_;
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// Limits associated with various quantities for which random values are
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// chosen during fuzzing.
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// Keep them in alphabetical order.
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uint32_t max_equivalence_class_size_for_data_synonym_fact_closure_;
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uint32_t max_loop_control_partial_count_;
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uint32_t max_loop_control_peel_count_;
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uint32_t max_loop_limit_;
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uint32_t max_new_array_size_limit_;
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uint32_t max_number_of_function_parameters_;
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uint32_t max_number_of_new_parameters_;
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// Functions to determine with what probability to go deeper when generating
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// or mutating constructs recursively.
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const std::function<bool(uint32_t, RandomGenerator*)>&
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go_deeper_in_constant_obfuscation_;
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// Requires |min_max.first| <= |min_max.second|, and returns a value in the
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// range [ |min_max.first|, |min_max.second| ]
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uint32_t ChooseBetweenMinAndMax(const std::pair<uint32_t, uint32_t>& min_max);
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};
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} // namespace fuzz
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} // namespace spvtools
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#endif // SOURCE_FUZZ_FUZZER_CONTEXT_H_
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