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rtest_ac_normalize.cpp: Fix calculation of effective range for fixed and complex #8

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rtest_ac_normalize.cpp: Fix calculation of effective range for fixed and complex #8

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669b9d3
rtest_ac_normalize.cpp: Avoid UB in accessing the variable
nkkav Apr 16, 2021
0712eef
rtest_ac_normalize.cpp: Fix calculation of accepted range for fixed
nkkav Apr 16, 2021
02bb98e
rtest_ac_normalize.cpp: Fix calculating effective range for complex
nkkav Apr 16, 2021
f8294a1
rtest_ac_normalize.cpp: Remove unused variable
nkkav Apr 20, 2021
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11 changes: 7 additions & 4 deletions tests/rtest_ac_normalize.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -110,7 +110,7 @@ int test_driver_fixed(
}

bool incorrect = false;
int nocalls, expret_fixed, expret_complex;
int expret_fixed, expret_complex;

// test fixed-point real and complex.

Expand All @@ -121,20 +121,23 @@ int test_driver_fixed(
cmplx_input_fixed.r() = i;
cmplx_input_fixed.i() = j;
test_ac_normalize(input_fixed, output_fixed, cmplx_input_fixed, cmplx_output_fixed, expret_fixed, expret_complex);
nocalls++;

// This flag is set to false if the real output is incorrect
bool incorrect_fixed = (output_fixed.to_double() * pow(2, (double)expret_fixed) != input_fixed);
// Make sure that the range of the normalized output is as expected.
incorrect_fixed = incorrect_fixed || ((output_fixed > -0.5) && (output_fixed < 0.5)) || ((output_fixed >= 1) && (output_fixed < -1));
// Expected range is: [-1.0, -0.5] U [0.5, 1.0]
bool in_range = ((output_fixed >= -1) && (output_fixed <= -0.5)) || ((output_fixed >= 0.5) && (output_fixed <= 1));
incorrect_fixed = incorrect_fixed || !in_range;
// Inputs and outputs being zero is a special case, and the range-checking above will produce a false negative in such a case. This is taken care of below.
if (output_fixed == 0 && input_fixed == 0) {incorrect_fixed = false;}

// This flag is set to false if the complex output is incorrect
bool incorrect_complex = ((cmplx_output_fixed.r().to_double()*pow(2, (double)expret_complex) != cmplx_input_fixed.r().to_double()) || (cmplx_output_fixed.i().to_double()*pow(2, (double)expret_complex) != cmplx_input_fixed.i().to_double()));
// Make sure that the range of the normalized output is as expected.
incorrect_complex = incorrect_complex || ((cmplx_output_fixed.r() > -0.5) && (cmplx_output_fixed.r() < 0.5) && (cmplx_output_fixed.i() > -0.5) && (cmplx_output_fixed.i() < 0.5));
incorrect_complex = incorrect_complex || (cmplx_output_fixed.r() >= 1) || (cmplx_output_fixed.r() < -1) || (cmplx_output_fixed.i() >= 1) && (cmplx_output_fixed.i() < -1);
// Expected range is: [-1.0, +1.0]
in_range = ((cmplx_output_fixed.r() >= -1) && (cmplx_output_fixed.r() <= 1)) || ((cmplx_output_fixed.i() >= -1) && (cmplx_output_fixed.i() <= 1));
incorrect_complex = incorrect_complex || !in_range;
// Inputs and outputs being zero is a special case, and the range-checking above will produce a false negative in such a case. This is taken care of below.
if (cmplx_output_fixed.r() == 0 && cmplx_output_fixed.i() == 0 && cmplx_input_fixed.r() == 0 && cmplx_input_fixed.i() == 0) {incorrect_complex = false;}

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