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Use stable data structure for BV refinement approximations
BV refinement may recursively create approximations via convert_bv, thus the reference taken to the back of a vector may become invalid. Use a std::list instead. Fixes: diffblue#1620
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Original file line number | Diff line number | Diff line change |
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#include <assert.h> | ||
#include <math.h> | ||
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#ifdef __GNUC__ | ||
void inductiveStepHunt (float startState) | ||
{ | ||
float target = 0x1.fffffep-3f; | ||
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__CPROVER_assume((0 < startState) && (fpclassify(startState) == FP_NORMAL) && (0x1p-126f <= startState)); | ||
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float secondPoint = (target / startState); | ||
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float nextState = (startState + secondPoint) / 2; | ||
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float oneAfter = (target / nextState); | ||
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assert(oneAfter > 0); | ||
} | ||
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void simplifiedInductiveStepHunt (float nextState) | ||
{ | ||
float target = 0x1.fffffep-3f; | ||
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// Implies nextState == 0x1p+124f; | ||
__CPROVER_assume((0x1.fffffep+123f < nextState) && (nextState < 0x1.000002p+124f)); | ||
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float oneAfter = (target / nextState); | ||
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// Is true and correctly proven by constant evaluation | ||
// Note that this is the smallest normal number | ||
assert(0x1.fffffep-3f / 0x1p+124f == 0x1p-126f); | ||
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assert(oneAfter > 0); | ||
} | ||
#endif | ||
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int main (void) | ||
{ | ||
#ifdef __GNUC__ | ||
// inductiveStepHunt(0x1p+125f); | ||
// simplifiedInductiveStepHunt(0x1p+124f); | ||
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float f, g; | ||
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inductiveStepHunt(f); | ||
simplifiedInductiveStepHunt(g); | ||
#endif | ||
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return 0; | ||
} |
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Original file line number | Diff line number | Diff line change |
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CORE | ||
main.c | ||
--floatbv --refine | ||
^EXIT=0$ | ||
^SIGNAL=0$ | ||
^VERIFICATION SUCCESSFUL$ | ||
-- | ||
^warning: ignoring |
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