vasilito
cb424d7448
verify-patch-sanity.py validates every active recipe .patch has internally- consistent hunk line counts — catching the 'malformed patch at line N' failure at commit/CI/preflight time instead of hours into a cook. This cycle hit that class three times (qtwaylandscanner, sddm, xwayland), each only discovered when cookbook tried to apply the patch. Running it across the repo found 29 latent malformed patches (validated against GNU patch: e.g. relibc/P3-sysv-ipc reproduces 'malformed patch at line 22'). They were harmless only because they sit in vendored recipes (baked, not re- applied) — but would fail on any version-bump re-derivation. --fix recounts the hunk headers (body untouched) and repaired all 29. Wired into build-preflight.sh (Phase 1.0D) and redbear-ci.yml, with a unit test (test-patch-sanity.sh). Skips archived/legacy trees and unvalidatable formats (empty placeholders, bare-@@ git hunks).
106 lines
4.5 KiB
C++
106 lines
4.5 KiB
C++
// RUN: %clang++ -std=gnu++11 -O2 -ffast-math -g %s -o %t
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// RUN: %dexter --fail-lt 1.0 -w \
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// RUN: --binary %t --debugger 'lldb' -- %s
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// RUN: %clang++ -std=gnu++11 -O0 -ffast-math -g %s -o %t
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// RUN: %dexter --fail-lt 1.0 -w \
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// RUN: --binary %t --debugger 'lldb' -- %s
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// REQUIRES: lldb
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// Currently getting intermittent failures on darwin.
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// UNSUPPORTED: system-windows, system-darwin
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//// Check that the debugging experience with __attribute__((optnone)) at O2
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//// matches O0. Test scalar floating point arithmetic with -ffast-math.
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//// Example of strength reduction.
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//// The division by 10.0f can be rewritten as a multiply by 0.1f.
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//// A / 10.f ==> A * 0.1f
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//// This is safe with fastmath since we treat the two operations
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//// as equally precise. However we don't want this to happen
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//// with optnone.
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__attribute__((optnone))
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float test_fdiv(float A) {
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float result;
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result = A / 10.f; // DexLabel('fdiv_assign')
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return result; // DexLabel('fdiv_ret')
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}
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// DexExpectWatchValue('A', 4, on_line=ref('fdiv_assign'))
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// DexExpectWatchValue('result', '0.400000006', on_line=ref('fdiv_ret'))
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//// (A * B) - (A * C) ==> A * (B - C)
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__attribute__((optnone))
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float test_distributivity(float A, float B, float C) {
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float result;
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float op1 = A * B;
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float op2 = A * C; // DexLabel('distributivity_op2')
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result = op1 - op2; // DexLabel('distributivity_result')
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return result; // DexLabel('distributivity_ret')
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}
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// DexExpectWatchValue('op1', '20', on_line=ref('distributivity_op2'))
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// DexExpectWatchValue('op2', '24', on_line=ref('distributivity_result'))
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// DexExpectWatchValue('result', '-4', on_line=ref('distributivity_ret'))
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//// (A + B) + C == A + (B + C)
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//// therefore, ((A + B) + C) + (A + (B + C)))
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//// can be rewritten as
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//// 2.0f * ((A + B) + C)
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//// Clang is currently unable to spot this optimization
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//// opportunity with fastmath.
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__attribute__((optnone))
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float test_associativity(float A, float B, float C) {
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float result;
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float op1 = A + B;
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float op2 = B + C;
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op1 += C; // DexLabel('associativity_op1')
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op2 += A;
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result = op1 + op2; // DexLabel('associativity_result')
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return result; // DexLabel('associativity_ret')
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}
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// DexExpectWatchValue('op1', '9', '15', from_line=ref('associativity_op1'), to_line=ref('associativity_result'))
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// DexExpectWatchValue('op2', '11', '15', from_line=ref('associativity_op1'), to_line=ref('associativity_result'))
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// DexExpectWatchValue('result', '30', on_line=ref('associativity_ret'))
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//// With fastmath, the ordering of instructions doesn't matter
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//// since we work under the assumption that there is no loss
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//// in precision. This simplifies things for the optimizer which
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//// can then decide to reorder instructions and fold
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//// redundant operations like this:
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//// A += 5.0f
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//// A -= 5.0f
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//// -->
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//// A
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//// This function can be simplified to a return A + B.
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__attribute__((optnone))
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float test_simplify_fp_operations(float A, float B) {
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float result = A + 10.0f; // DexLabel('fp_operations_result')
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result += B; // DexLabel('fp_operations_add')
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result -= 10.0f;
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return result; // DexLabel('fp_operations_ret')
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}
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// DexExpectWatchValue('A', '8.25', on_line=ref('fp_operations_result'))
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// DexExpectWatchValue('B', '26.3999996', on_line=ref('fp_operations_result'))
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// DexExpectWatchValue('result', '18.25', '44.6500015', '34.6500015', from_line=ref('fp_operations_add'), to_line=ref('fp_operations_ret'))
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//// Again, this is a simple return A + B.
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//// Clang is unable to spot the opportunity to fold the code sequence.
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__attribute__((optnone))
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float test_simplify_fp_operations_2(float A, float B, float C) {
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float result = A + C; // DexLabel('fp_operations_2_result')
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result += B;
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result -= C; // DexLabel('fp_operations_2_subtract')
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return result; // DexLabel('fp_operations_2_ret')
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}
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// DexExpectWatchValue('A', '9.11999988', on_line=ref('fp_operations_2_result'))
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// DexExpectWatchValue('B', '61.050003', on_line=ref('fp_operations_2_result'))
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// DexExpectWatchValue('C', '1002.11102', on_line=ref('fp_operations_2_result'))
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// DexExpectWatchValue('result', '1072.28101', '70.1699829', from_line=ref('fp_operations_2_subtract'), to_line=ref('fp_operations_2_ret'))
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int main() {
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float result = test_fdiv(4.0f);
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result += test_distributivity(4.0f, 5.0f, 6.0f);
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result += test_associativity(4.0f, 5.0f, 6.0f);
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result += test_simplify_fp_operations(8.25, result);
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result += test_simplify_fp_operations_2(9.12, result, 1002.111);
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return static_cast<int>(result);
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}
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