Restoring authorship annotation for <yazevnul@yandex-team.ru>. Commit 2 of 2.

4 files changed, 119 insertions, 119 deletions

diff --git a/library/cpp/accurate_accumulate/benchmark/main.cpp b/library/cpp/accurate_accumulate/benchmark/main.cpp
index 6dcd8a9635..3c5e6e775d 100644
--- a/library/cpp/accurate_accumulate/benchmark/main.cpp
+++ b/library/cpp/accurate_accumulate/benchmark/main.cpp
@@ -1,97 +1,97 @@
 #include <library/cpp/accurate_accumulate/accurate_accumulate.h>
 #include <library/cpp/testing/benchmark/bench.h>
- 
-#include <util/generic/algorithm.h> 
-#include <util/generic/singleton.h> 
-#include <util/generic/vector.h> 
-#include <util/generic/xrange.h> 
-#include <util/random/fast.h> 
- 
-namespace { 
-    template <typename T, size_t N> 
-    struct TNormalizedExamplesHolder { 
+
+#include <util/generic/algorithm.h>
+#include <util/generic/singleton.h>
+#include <util/generic/vector.h>
+#include <util/generic/xrange.h>
+#include <util/random/fast.h>
+
+namespace {
+    template <typename T, size_t N>
+    struct TNormalizedExamplesHolder {
         TVector<T> Examples;
-        TNormalizedExamplesHolder() 
-            : Examples(N) 
-        { 
-            TFastRng<ui64> prng{sizeof(T) * N * 42u}; 
-            for (auto& x : Examples) { 
-                x = prng.GenRandReal4(); 
-            } 
-        } 
-    }; 
- 
-    template <typename T, size_t N> 
-    struct TExamplesHolder { 
+        TNormalizedExamplesHolder()
+            : Examples(N)
+        {
+            TFastRng<ui64> prng{sizeof(T) * N * 42u};
+            for (auto& x : Examples) {
+                x = prng.GenRandReal4();
+            }
+        }
+    };
+
+    template <typename T, size_t N>
+    struct TExamplesHolder {
         TVector<T> Examples;
-        TExamplesHolder() 
-            : Examples(N) 
-        { 
-            TFastRng<ui64> prng{sizeof(T) * N * 42u + 100500u}; 
-            for (auto& x : Examples) { 
-                // operations with non-normalized floating point numbers are rumored to work slower 
-                x = prng.GenRandReal4() + prng.Uniform(1024u); 
-            } 
-        } 
-    }; 
-} 
- 
-#define DEFINE_BENCHMARK(type, count)                                                                     \ 
-    Y_CPU_BENCHMARK(SimpleNorm_##type##_##count, iface) {                                                 \ 
-        const auto& examples = Default<TNormalizedExamplesHolder<type, count>>().Examples;                \ 
-        for (const auto i : xrange(iface.Iterations())) {                                                 \ 
-            Y_UNUSED(i);                                                                                  \ 
-            Y_DO_NOT_OPTIMIZE_AWAY(                                                                       \ 
-                (type)Accumulate(std::cbegin(examples), std::cend(examples), type{}));                    \ 
-        }                                                                                                 \ 
-    }                                                                                                     \ 
-                                                                                                          \ 
-    Y_CPU_BENCHMARK(KahanNorm_##type##_##count, iface) {                                                  \ 
-        const auto& examples = Default<TNormalizedExamplesHolder<type, count>>().Examples;                \ 
-        for (const auto i : xrange(iface.Iterations())) {                                                 \ 
-            Y_UNUSED(i);                                                                                  \ 
-            Y_DO_NOT_OPTIMIZE_AWAY(                                                                       \ 
-                (type)Accumulate(std::cbegin(examples), std::cend(examples), TKahanAccumulator<type>{})); \ 
-        }                                                                                                 \ 
-    }                                                                                                     \ 
-                                                                                                          \ 
-    Y_CPU_BENCHMARK(Simple_##type##_##count, iface) {                                                     \ 
-        const auto& examples = Default<TExamplesHolder<type, count>>().Examples;                          \ 
-        for (const auto i : xrange(iface.Iterations())) {                                                 \ 
-            Y_UNUSED(i);                                                                                  \ 
-            Y_DO_NOT_OPTIMIZE_AWAY(                                                                       \ 
-                (type)Accumulate(std::cbegin(examples), std::cend(examples), type{}));                    \ 
-        }                                                                                                 \ 
-    }                                                                                                     \ 
-                                                                                                          \ 
-    Y_CPU_BENCHMARK(Kahan_##type##_##count, iface) {                                                      \ 
-        const auto& examples = Default<TExamplesHolder<type, count>>().Examples;                          \ 
-        for (const auto i : xrange(iface.Iterations())) {                                                 \ 
-            Y_UNUSED(i);                                                                                  \ 
-            Y_DO_NOT_OPTIMIZE_AWAY(                                                                       \ 
-                (type)Accumulate(std::cbegin(examples), std::cend(examples), TKahanAccumulator<type>{})); \ 
-        }                                                                                                 \ 
-    } 
- 
-DEFINE_BENCHMARK(float, 2) 
-DEFINE_BENCHMARK(float, 4) 
-DEFINE_BENCHMARK(float, 8) 
-DEFINE_BENCHMARK(float, 16) 
-DEFINE_BENCHMARK(float, 32) 
-DEFINE_BENCHMARK(float, 64) 
-DEFINE_BENCHMARK(float, 128) 
-DEFINE_BENCHMARK(float, 256) 
-DEFINE_BENCHMARK(float, 512) 
-DEFINE_BENCHMARK(float, 1024) 
-DEFINE_BENCHMARK(double, 2) 
-DEFINE_BENCHMARK(double, 4) 
-DEFINE_BENCHMARK(double, 8) 
-DEFINE_BENCHMARK(double, 16) 
-DEFINE_BENCHMARK(double, 32) 
-DEFINE_BENCHMARK(double, 64) 
-DEFINE_BENCHMARK(double, 128) 
-DEFINE_BENCHMARK(double, 256) 
-DEFINE_BENCHMARK(double, 512) 
-DEFINE_BENCHMARK(double, 1024) 
- 
-#undef DEFINE_BENCHMARK 
+        TExamplesHolder()
+            : Examples(N)
+        {
+            TFastRng<ui64> prng{sizeof(T) * N * 42u + 100500u};
+            for (auto& x : Examples) {
+                // operations with non-normalized floating point numbers are rumored to work slower
+                x = prng.GenRandReal4() + prng.Uniform(1024u);
+            }
+        }
+    };
+}
+
+#define DEFINE_BENCHMARK(type, count)                                                                     \
+    Y_CPU_BENCHMARK(SimpleNorm_##type##_##count, iface) {                                                 \
+        const auto& examples = Default<TNormalizedExamplesHolder<type, count>>().Examples;                \
+        for (const auto i : xrange(iface.Iterations())) {                                                 \
+            Y_UNUSED(i);                                                                                  \
+            Y_DO_NOT_OPTIMIZE_AWAY(                                                                       \
+                (type)Accumulate(std::cbegin(examples), std::cend(examples), type{}));                    \
+        }                                                                                                 \
+    }                                                                                                     \
+                                                                                                          \
+    Y_CPU_BENCHMARK(KahanNorm_##type##_##count, iface) {                                                  \
+        const auto& examples = Default<TNormalizedExamplesHolder<type, count>>().Examples;                \
+        for (const auto i : xrange(iface.Iterations())) {                                                 \
+            Y_UNUSED(i);                                                                                  \
+            Y_DO_NOT_OPTIMIZE_AWAY(                                                                       \
+                (type)Accumulate(std::cbegin(examples), std::cend(examples), TKahanAccumulator<type>{})); \
+        }                                                                                                 \
+    }                                                                                                     \
+                                                                                                          \
+    Y_CPU_BENCHMARK(Simple_##type##_##count, iface) {                                                     \
+        const auto& examples = Default<TExamplesHolder<type, count>>().Examples;                          \
+        for (const auto i : xrange(iface.Iterations())) {                                                 \
+            Y_UNUSED(i);                                                                                  \
+            Y_DO_NOT_OPTIMIZE_AWAY(                                                                       \
+                (type)Accumulate(std::cbegin(examples), std::cend(examples), type{}));                    \
+        }                                                                                                 \
+    }                                                                                                     \
+                                                                                                          \
+    Y_CPU_BENCHMARK(Kahan_##type##_##count, iface) {                                                      \
+        const auto& examples = Default<TExamplesHolder<type, count>>().Examples;                          \
+        for (const auto i : xrange(iface.Iterations())) {                                                 \
+            Y_UNUSED(i);                                                                                  \
+            Y_DO_NOT_OPTIMIZE_AWAY(                                                                       \
+                (type)Accumulate(std::cbegin(examples), std::cend(examples), TKahanAccumulator<type>{})); \
+        }                                                                                                 \
+    }
+
+DEFINE_BENCHMARK(float, 2)
+DEFINE_BENCHMARK(float, 4)
+DEFINE_BENCHMARK(float, 8)
+DEFINE_BENCHMARK(float, 16)
+DEFINE_BENCHMARK(float, 32)
+DEFINE_BENCHMARK(float, 64)
+DEFINE_BENCHMARK(float, 128)
+DEFINE_BENCHMARK(float, 256)
+DEFINE_BENCHMARK(float, 512)
+DEFINE_BENCHMARK(float, 1024)
+DEFINE_BENCHMARK(double, 2)
+DEFINE_BENCHMARK(double, 4)
+DEFINE_BENCHMARK(double, 8)
+DEFINE_BENCHMARK(double, 16)
+DEFINE_BENCHMARK(double, 32)
+DEFINE_BENCHMARK(double, 64)
+DEFINE_BENCHMARK(double, 128)
+DEFINE_BENCHMARK(double, 256)
+DEFINE_BENCHMARK(double, 512)
+DEFINE_BENCHMARK(double, 1024)
+
+#undef DEFINE_BENCHMARK
diff --git a/library/cpp/accurate_accumulate/benchmark/metrics/main.py b/library/cpp/accurate_accumulate/benchmark/metrics/main.py
index dc90060625..311fc219ce 100644
--- a/library/cpp/accurate_accumulate/benchmark/metrics/main.py
+++ b/library/cpp/accurate_accumulate/benchmark/metrics/main.py
@@ -1,7 +1,7 @@
-import yatest.common as yc 
- 
- 
-def test_export_metrics(metrics): 
-    metrics.set_benchmark(yc.execute_benchmark( 
+import yatest.common as yc
+
+
+def test_export_metrics(metrics):
+    metrics.set_benchmark(yc.execute_benchmark(
         'library/cpp/accurate_accumulate/benchmark/benchmark',
-        threads=8)) 
+        threads=8))
diff --git a/library/cpp/accurate_accumulate/benchmark/metrics/ya.make b/library/cpp/accurate_accumulate/benchmark/metrics/ya.make
index 45ef7a464e..5d532e1479 100644
--- a/library/cpp/accurate_accumulate/benchmark/metrics/ya.make
+++ b/library/cpp/accurate_accumulate/benchmark/metrics/ya.make
@@ -1,17 +1,17 @@
 OWNER(yazevnul)
- 
+
 PY2TEST()
- 
+
 SIZE(LARGE)
- 
-TAG( 
+
+TAG(
     ya:force_sandbox
-    sb:intel_e5_2660v1 
+    sb:intel_e5_2660v1
     ya:fat
-) 
- 
+)
+
 TEST_SRCS(main.py)
- 
+
 DEPENDS(library/cpp/accurate_accumulate/benchmark)
- 
-END() 
+
+END()
diff --git a/library/cpp/accurate_accumulate/benchmark/ya.make b/library/cpp/accurate_accumulate/benchmark/ya.make
index 48b8486966..20fd877389 100644
--- a/library/cpp/accurate_accumulate/benchmark/ya.make
+++ b/library/cpp/accurate_accumulate/benchmark/ya.make
@@ -1,13 +1,13 @@
 OWNER(yazevnul)
- 
+
 Y_BENCHMARK()
- 
-SRCS( 
-    main.cpp 
-) 
- 
-PEERDIR( 
+
+SRCS(
+    main.cpp
+)
+
+PEERDIR(
     library/cpp/accurate_accumulate
-) 
- 
-END() 
+)
+
+END()