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authorSven Gothel <[email protected]>2021-01-02 09:34:57 +0100
committerSven Gothel <[email protected]>2021-01-02 09:34:57 +0100
commit4b18e563c90792cba2aadbe047bdf80d174d2dcb (patch)
tree9e545c4dc3c5f2279c89e28755dcf330997d9f13 /doc/test
parent9baec450538c1e85d18dc130af68ea71c17d3306 (diff)
Add: darray, cow_darray, cow_iterator; Adjust cow_vector to cow_darray findings (deprecated); Performance enhancements
cow_darray, cow_vector design changes / notes: - Aligned all typedef's names etc between both implementations for easier review - Removed direct element access, as this would be only valid if Value_type is a std:share_ptr, assuming the underlying shared storage has been pulled. Use iterator! - Introducing immutable const_iterator (a jau::cow_ro_iterator) and mutable iterator (a jau::cow_rw_iterator). Both types hold the underling's iterator and also either the lock-free shared snapshot (const_iterator) or hold the lock and a copy of the storage (iterator). This guarantees an efficient std API aligned operation, keeping alove std::shared_ptr references. - Removed for_each_cow: Use std::for_each with our new const_iterator or iterator etc... Performance changes / notes: - cow_darray: Use fixed golden-ratio for grow-factor in push_back(), reducing too many copies. - cow_darray::push_back(..): No copy on size < capacity, just push_back into underling, dramatically reducing copies. Guaranteed correct using cow_darray + darray, as darray increments end_ iterator after the new element has been added. - Always use pre-increment/decrement, avoiding copy with post-* variant. cow_vector fixes (learned from working with cow_darray) - reserve(): Only is new_capacity > capacity, then need copy_ctor storage - operator=(cow_vector&& x): Hold both cow_vector's write-mutex - pop_back(): Only if not empty - +++ Performance seems to fluctuate on the allocator and we might want resolve this with a custom pooled alloctor. This is obvious when comparing the 'empty' samples with 'reserved', the latter reserve whole memory of the std::vector and jau::darray upfront. Performance on arm64-raspi4 jau::cow_vector vs jau::cow_darray: - sequential fill and list O(1): cow_vector is ~30 times slower (starting empty) (delta due to cow_darray capacity usage, less copies) - unique fill and list O(n*n): cow_vector is 2-3 times slower (starting empty) (most time used for equal time dereferencing) Performance on arm64-raspi4 std::vector vs jau::darray: - sequential fill and list iterator O(1): jau::darray is ~0% - 40% slower (50 .. 1000) (starting empty) (we may call this almost equal, probably allocator related) - unique fill and list iterator O(n*n): std::vector is ~0% - 23% slower (50 .. 1000) (starting empty) (almost equal, most time used for equal time dereferencing) +++ Performance on amd64 jau::cow_vector vs jau::cow_darray: - sequential fill and list O(1): cow_vector is ~38 times slower (starting empty) (delta due to cow_darray capacity usage, less copies) - unique fill and list O(n*n): cow_vector is ~2 times slower (starting empty) (most time used for equal time dereferencing) Performance on amd64 std::vector vs jau::darray: - sequential fill and list iterator O(1): jau::darray is ~0% - 20% slower (50 .. 1000) (starting empty) (we may call this almost equal, probably allocator related) - unique fill and list iterator O(n*n): std::vector is ~0% - 30% slower (50 .. 1000) (starting empty) (almost equal, most time used for equal time dereferencing) +++ Memory ratio allocation/size jau::cow_vector vs jau::cow_darray having size: - 50: 2 vs 1.1 - 100: 2 vs 1.44 - 1000: 2 vs 1.6 - Hence cow_darray golden-ratio growth factor is more efficient on size + perf. Memory ratio allocation/size std::vector vs jau::darray having size: - 50: 1.28 vs 1.10 - 100: 1.28 vs 1.44 - 1000: 1.03 vs 1.60 - Hence cow_darray golden-ratio growth factor is less efficient on big sizes (but configurable)
Diffstat (limited to 'doc/test')
-rw-r--r--doc/test/test_cow_darray_perf01.amd64.log350
-rw-r--r--doc/test/test_cowvector_perf01.amd64.log153
-rw-r--r--doc/test/test_cowvector_perf01.arm64-raspi4.log153
-rw-r--r--doc/test/test_hashset_perf01.amd64.log117
-rw-r--r--doc/test/test_hashset_perf01.arm64-raspi4.log117
5 files changed, 350 insertions, 540 deletions
diff --git a/doc/test/test_cow_darray_perf01.amd64.log b/doc/test/test_cow_darray_perf01.amd64.log
new file mode 100644
index 0000000..69e64eb
--- /dev/null
+++ b/doc/test/test_cow_darray_perf01.amd64.log
@@ -0,0 +1,350 @@
+COMMANDLINE scripts/test_cow_darray_perf01.sh -v normal
+EXE_WRAPPER nice -20
+logbasename test_cow_darray_perf01.amd64
+logfile /usr/local/projects/zafena/jaulib/doc/test/test_cow_darray_perf01.amd64.0.log
+valgrindlogfile /usr/local/projects/zafena/jaulib/doc/test/test_cow_darray_perf01.amd64.valgrind.0.log
+callgrindoutfile /usr/local/projects/zafena/jaulib/doc/test/test_cow_darray_perf01.amd64.callgrind.0.out
+nice -20 /usr/local/projects/zafena/jaulib/build-amd64/test/test_cow_darray_perf01 -v normal
+argc 3, auto_run 0, perf_analysis 0
+Mem: stdvec_empty_ 01 (full_): Elements 50 x 16 bytes; CAlloc[ 1,024 bytes, alloc[balance 1 = 7 - 6]], 1.280000 ratio
+Mem: stdvec_empty_ 01 (full_): Elements 100 x 16 bytes; CAlloc[ 2,048 bytes, alloc[balance 1 = 8 - 7]], 1.280000 ratio
+Mem: stdvec_empty_ 01 (full_): Elements 1,000 x 16 bytes; CAlloc[ 16,384 bytes, alloc[balance 1 = 11 - 10]], 1.024000 ratio
+Mem: darray_empty_ 01 (full_): Elements 50 x 16 bytes; CAlloc[ 880 bytes, alloc[balance 1 = 9 - 8]], 1.100000 ratio
+Mem: darray_empty_ 01 (full_): Elements 100 x 16 bytes; CAlloc[ 2,304 bytes, alloc[balance 1 = 11 - 10]], 1.440000 ratio
+Mem: darray_empty_ 01 (full_): Elements 1,000 x 16 bytes; CAlloc[ 25,552 bytes, alloc[balance 1 = 16 - 15]], 1.597000 ratio
+Mem: cowstdvec_empty_ 01 (full_): Elements 50 x 16 bytes; CAlloc[ 1,568 bytes, alloc[balance 1 = 2 - 1]], 1.960000 ratio
+Mem: cowstdvec_empty_ 01 (full_): Elements 100 x 16 bytes; CAlloc[ 3,168 bytes, alloc[balance 1 = 2 - 1]], 1.980000 ratio
+Mem: cowstdvec_empty_ 01 (full_): Elements 1,000 x 16 bytes; CAlloc[ 31,968 bytes, alloc[balance 1 = 2 - 1]], 1.998000 ratio
+Mem: cowdarray_empty_ 01 (full_): Elements 50 x 16 bytes; CAlloc[ 880 bytes, alloc[balance 1 = 1 - 0]], 1.100000 ratio
+Mem: cowdarray_empty_ 01 (full_): Elements 100 x 16 bytes; CAlloc[ 2,304 bytes, alloc[balance 1 = 1 - 0]], 1.440000 ratio
+Mem: cowdarray_empty_ 01 (full_): Elements 1,000 x 16 bytes; CAlloc[ 25,552 bytes, alloc[balance 1 = 1 - 0]], 1.597000 ratio
+
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+test_cow_darray_perf01 is a Catch v3.0.0-preview.3 host application.
+Run with -? for options
+
+-------------------------------------------------------------------------------
+Perf Test 01 - Fill Sequential and List, empty and reserve
+-------------------------------------------------------------------------------
+/test/test_cow_darray_perf01.cpp:504
+...............................................................................
+
+benchmark name samples iterations estimated
+ mean low mean high mean
+ std dev low std dev high std dev
+-------------------------------------------------------------------------------
+STD_Vector_empty_idx FillSeq_List
+50 100 36 2.1168 ms
+ 587.887 ns 586.534 ns 592.851 ns
+ 11.6643 ns 2.59561 ns 26.681 ns
+
+STD_Vector_empty_idx FillSeq_List
+100 100 21 2.1273 ms
+ 1.01551 us 1.01076 us 1.02473 us
+ 32.6187 ns 19.7948 ns 53.2098 ns
+
+STD_Vector_empty_idx FillSeq_List
+1000 100 3 2.3295 ms
+ 7.7587 us 7.75414 us 7.77689 us
+ 42.9198 ns 4.0468 ns 101.951 ns
+
+STD_Vector_empty_itr FillSeq_List
+50 100 36 2.1276 ms
+ 586.001 ns 585.784 ns 586.568 ns
+ 1.65525 ns 0.465353 ns 3.27567 ns
+
+STD_Vector_empty_itr FillSeq_List
+100 100 21 2.0895 ms
+ 994.921 ns 988.919 ns 1.00582 us
+ 40.1812 ns 25.3082 ns 57.6708 ns
+
+STD_Vector_empty_itr FillSeq_List
+1000 100 3 2.3886 ms
+ 7.87883 us 7.816 us 7.98781 us
+ 409.816 ns 278.711 ns 740.356 ns
+
+JAU_DArray_empty_idx FillSeq_List
+50 100 35 2.114 ms
+ 598.635 ns 596.777 ns 605.661 ns
+ 16.3576 ns 3.66866 ns 38.0961 ns
+
+JAU_DArray_empty_idx FillSeq_List
+100 100 19 2.1223 ms
+ 1.106 us 1.10402 us 1.1153 us
+ 18.5808 ns 0.490943 ns 44.1982 ns
+
+JAU_DArray_empty_idx FillSeq_List
+1000 100 3 2.8092 ms
+ 9.3225 us 9.29807 us 9.38497 us
+ 184.594 ns 87.6997 ns 341.201 ns
+
+JAU_DArray_empty_itr FillSeq_List
+50 100 36 2.142 ms
+ 596.304 ns 592.709 ns 604.02 ns
+ 25.6078 ns 13.9646 ns 44.649 ns
+
+JAU_DArray_empty_itr FillSeq_List
+100 100 19 2.1546 ms
+ 1.1111 us 1.10853 us 1.11751 us
+ 18.3155 ns 2.03707 ns 34.3155 ns
+
+JAU_DArray_empty_itr FillSeq_List
+1000 100 3 2.8344 ms
+ 9.30593 us 9.30037 us 9.33189 us
+ 52.9018 ns 3.95373 ns 125.894 ns
+
+COW_Vector_empty_itr FillSeq_List
+50 100 4 2.3236 ms
+ 5.74342 us 5.69619 us 5.92492 us
+ 407.638 ns 103.644 ns 933.721 ns
+
+COW_Vector_empty_itr FillSeq_List
+100 100 2 3.8364 ms
+ 19.5381 us 19.4755 us 19.6833 us
+ 470.471 ns 238.193 ns 793.648 ns
+
+COW_Vector_empty_itr FillSeq_List
+1000 100 1 103.138 ms
+ 1.02219 ms 1.02134 ms 1.02303 ms
+ 4.30683 us 3.85196 us 4.88288 us
+
+COW_DArray_empty_itr FillSeq_List
+50 100 12 2.1456 ms
+ 1.76765 us 1.76743 us 1.76851 us
+ 1.98944 ns 0.373864 ns 4.62752 ns
+
+COW_DArray_empty_itr FillSeq_List
+100 100 7 2.2855 ms
+ 3.27837 us 3.26571 us 3.30378 us
+ 88.2901 ns 50.5299 ns 144.154 ns
+
+COW_DArray_empty_itr FillSeq_List
+1000 100 1 2.8288 ms
+ 28.1568 us 28.1023 us 28.2788 us
+ 395.76 ns 197.003 ns 670.658 ns
+
+STD_Vector_rserv_itr FillSeq_List
+50 100 41 2.1279 ms
+ 521.165 ns 519.728 ns 524.924 ns
+ 10.3168 ns 0.266432 ns 20.6426 ns
+
+STD_Vector_rserv_itr FillSeq_List
+100 100 24 2.1096 ms
+ 880.622 ns 877.774 ns 886.438 ns
+ 19.8502 ns 10.6627 ns 31.7561 ns
+
+STD_Vector_rserv_itr FillSeq_List
+1000 100 4 2.6292 ms
+ 6.58481 us 6.56973 us 6.63792 us
+ 124.657 ns 26.2394 ns 278.381 ns
+
+JAU_DArray_rserv_itr FillSeq_List
+50 100 44 2.0944 ms
+ 504.908 ns 503.426 ns 508.953 ns
+ 10.9981 ns 0.347251 ns 23.449 ns
+
+JAU_DArray_rserv_itr FillSeq_List
+100 100 26 2.1476 ms
+ 827.16 ns 825.085 ns 836.084 ns
+ 18.0184 ns 0.377244 ns 42.4347 ns
+
+JAU_DArray_rserv_itr FillSeq_List
+1000 100 4 2.3976 ms
+ 6.00385 us 5.99214 us 6.06161 us
+ 115.24 ns 1.93334 ns 252.482 ns
+
+COW_Vector_rserv_itr FillSeq_List
+50 100 4 2.476 ms
+ 6.12628 us 6.12033 us 6.15452 us
+ 57.0493 ns 3.45555 ns 135.858 ns
+
+COW_Vector_rserv_itr FillSeq_List
+100 100 2 4.073 ms
+ 20.5219 us 20.4073 us 20.9229 us
+ 913.922 ns 52.6484 ns 2.0721 us
+
+COW_Vector_rserv_itr FillSeq_List
+1000 100 1 108.419 ms
+ 1.08169 ms 1.08077 ms 1.08265 ms
+ 4.81349 us 4.35774 us 5.38341 us
+
+COW_Vector_rserv_itr FillSeq_List
+50 100 4 2.4752 ms
+ 6.17815 us 6.1529 us 6.23063 us
+ 177.523 ns 102.004 ns 280.314 ns
+
+COW_Vector_rserv_itr FillSeq_List
+100 100 2 4.0584 ms
+ 20.1429 us 20.0586 us 20.4957 us
+ 744.84 ns 137.805 ns 1.7365 us
+
+COW_Vector_rserv_itr FillSeq_List
+1000 100 1 108.332 ms
+ 1.07729 ms 1.07656 ms 1.078 ms
+ 3.68093 us 3.21951 us 4.23509 us
+
+
+-------------------------------------------------------------------------------
+Perf Test 02 - Fill Unique and List, empty and reserve
+-------------------------------------------------------------------------------
+/test/test_cow_darray_perf01.cpp:530
+...............................................................................
+
+benchmark name samples iterations estimated
+ mean low mean high mean
+ std dev low std dev high std dev
+-------------------------------------------------------------------------------
+STD_Vector_empty_idx FillUni_List
+50 100 11 2.0922 ms
+ 1.78899 us 1.78235 us 1.80339 us
+ 47.5893 ns 26.0812 ns 77.9321 ns
+
+STD_Vector_empty_idx FillUni_List
+100 100 4 2.3412 ms
+ 6.24056 us 6.21462 us 6.30519 us
+ 196.305 ns 97.444 ns 407.914 ns
+
+STD_Vector_empty_idx FillUni_List
+1000 100 1 39.3706 ms
+ 389.91 us 388.749 us 393.46 us
+ 9.43058 us 3.86633 us 20.7428 us
+
+STD_Vector_empty_itr FillUni_List
+50 100 13 2.1619 ms
+ 1.62625 us 1.62237 us 1.636 us
+ 27.9497 ns 4.07125 ns 51.1131 ns
+
+STD_Vector_empty_itr FillUni_List
+100 100 4 2.23 ms
+ 5.54929 us 5.54172 us 5.57753 us
+ 66.2521 ns 17.5609 ns 152.82 ns
+
+STD_Vector_empty_itr FillUni_List
+1000 100 1 38.6387 ms
+ 387.279 us 386.262 us 391.178 us
+ 8.98648 us 2.04055 us 20.9355 us
+
+JAU_DArray_empty_idx FillUni_List
+50 100 12 2.1828 ms
+ 1.88023 us 1.85714 us 1.90417 us
+ 119.67 ns 114.33 ns 135.271 ns
+
+JAU_DArray_empty_idx FillUni_List
+100 100 4 2.7236 ms
+ 6.79534 us 6.77376 us 6.84645 us
+ 159.206 ns 78.086 ns 287.348 ns
+
+JAU_DArray_empty_idx FillUni_List
+1000 100 1 38.8248 ms
+ 394.747 us 394.236 us 395.342 us
+ 2.81011 us 2.40999 us 3.27223 us
+
+JAU_DArray_empty_itr FillUni_List
+50 100 13 2.1112 ms
+ 1.6465 us 1.64008 us 1.66125 us
+ 48.7547 ns 27.7939 ns 77.669 ns
+
+JAU_DArray_empty_itr FillUni_List
+100 100 4 2.5492 ms
+ 6.36098 us 6.34687 us 6.37031 us
+ 57.031 ns 42.8585 ns 112.034 ns
+
+JAU_DArray_empty_itr FillUni_List
+1000 100 1 39.8971 ms
+ 399.012 us 393.175 us 407.601 us
+ 35.6943 us 26.9714 us 44.1455 us
+
+COW_Vector_empty_itr FillUni_List
+50 100 2 2.4302 ms
+ 12.219 us 12.1941 us 12.2724 us
+ 177.965 ns 73.8311 ns 305.141 ns
+
+COW_Vector_empty_itr FillUni_List
+100 100 1 3.6369 ms
+ 36.292 us 36.2068 us 36.5079 us
+ 643.556 ns 285.442 ns 1.27906 us
+
+COW_Vector_empty_itr FillUni_List
+1000 100 1 182.543 ms
+ 1.8947 ms 1.8934 ms 1.89613 ms
+ 6.92523 us 6.21527 us 7.78582 us
+
+COW_DArray_empty_itr FillUni_List
+50 100 3 2.1018 ms
+ 6.99721 us 6.9725 us 7.04634 us
+ 169.177 ns 95.3738 ns 262.178 ns
+
+COW_DArray_empty_itr FillUni_List
+100 100 2 3.3468 ms
+ 16.7829 us 16.714 us 16.9106 us
+ 464.357 ns 281.39 ns 699.268 ns
+
+COW_DArray_empty_itr FillUni_List
+1000 100 1 60.1642 ms
+ 593.482 us 592.789 us 594.21 us
+ 3.64366 us 3.11135 us 4.36028 us
+
+STD_Vector_rserv_itr FillUni_List
+50 100 14 2.1126 ms
+ 1.5431 us 1.53312 us 1.56815 us
+ 70.7362 ns 4.62231 ns 130.265 ns
+
+STD_Vector_rserv_itr FillUni_List
+100 100 4 2.1356 ms
+ 5.42934 us 5.40332 us 5.48336 us
+ 182.126 ns 105.133 ns 322.296 ns
+
+STD_Vector_rserv_itr FillUni_List
+1000 100 1 37.5587 ms
+ 371.987 us 371.528 us 372.643 us
+ 2.76657 us 2.13462 us 4.02853 us
+
+JAU_DArray_rserv_itr FillUni_List
+50 100 13 2.0904 ms
+ 1.6157 us 1.61182 us 1.6312 us
+ 33.6739 ns 3.69632 ns 78.0574 ns
+
+JAU_DArray_rserv_itr FillUni_List
+100 100 4 2.2192 ms
+ 5.33926 us 5.33073 us 5.3557 us
+ 58.2143 ns 30.7842 ns 104.499 ns
+
+JAU_DArray_rserv_itr FillUni_List
+1000 100 1 37.1666 ms
+ 370.967 us 370.349 us 372.018 us
+ 4.03079 us 2.70746 us 6.23372 us
+
+COW_Vector_rserv_itr FillUni_List
+50 100 2 2.4072 ms
+ 11.9813 us 11.89 us 12.2839 us
+ 708.205 ns 35.07 ns 1.58406 us
+
+COW_Vector_rserv_itr FillUni_List
+100 100 1 3.5566 ms
+ 35.4723 us 35.3395 us 35.725 us
+ 905.511 ns 543.264 ns 1.4284 us
+
+COW_Vector_rserv_itr FillUni_List
+1000 100 1 180.037 ms
+ 1.80119 ms 1.79948 ms 1.80266 ms
+ 8.06882 us 6.80229 us 9.89432 us
+
+COW_DArray_rserv_itr FillUni_List
+50 100 4 2.5848 ms
+ 6.46866 us 6.467 us 6.47635 us
+ 15.577 ns 1.36692 ns 37.0103 ns
+
+COW_DArray_rserv_itr FillUni_List
+100 100 2 3.1924 ms
+ 15.8892 us 15.8474 us 16.0002 us
+ 328.232 ns 139.156 ns 660.64 ns
+
+COW_DArray_rserv_itr FillUni_List
+1000 100 1 57.9012 ms
+ 573.339 us 572.701 us 574.159 us
+ 3.65916 us 2.96615 us 4.6329 us
+
+
+===============================================================================
+All tests passed (64672560 assertions in 3 test cases)
+
diff --git a/doc/test/test_cowvector_perf01.amd64.log b/doc/test/test_cowvector_perf01.amd64.log
deleted file mode 100644
index 1c07f45..0000000
--- a/doc/test/test_cowvector_perf01.amd64.log
+++ /dev/null
@@ -1,153 +0,0 @@
-argc 3, auto-run 0
-Mem: stdvec_01 (full_): Elements 25 x 16 bytes; CAlloc[ 512 bytes, alloc[balance 1 = 6 - 5]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 50 x 16 bytes; CAlloc[ 1,024 bytes, alloc[balance 1 = 7 - 6]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 100 x 16 bytes; CAlloc[ 2,048 bytes, alloc[balance 1 = 8 - 7]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 200 x 16 bytes; CAlloc[ 4,096 bytes, alloc[balance 1 = 9 - 8]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 1,000 x 16 bytes; CAlloc[ 16,384 bytes, alloc[balance 1 = 11 - 10]], 1.024000 ratio
-
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-test_cowvector_perf01 is a Catch v3.0.0-preview.3 host application.
-Run with -? for options
-
--------------------------------------------------------------------------------
-STD Vector Perf Test 01 - Fill Sequential and List
--------------------------------------------------------------------------------
-/test/test_cowvector_perf01.cpp:231
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Seq_List 25 100 60 2.082 ms
- 350.144 ns 349.585 ns 351.737 ns
- 4.42199 ns 2.00301 ns 9.59688 ns
-
-Seq_List 50 100 38 2.0672 ms
- 541.848 ns 541.807 ns 541.982 ns
- 0.345592 ns 0.122757 ns 0.771527 ns
-
-Seq_List 100 100 23 2.116 ms
- 920.523 ns 916.727 ns 927.621 ns
- 25.7041 ns 15.8618 ns 38.9443 ns
-
-Seq_List 200 100 13 2.1879 ms
- 1.72219 us 1.71326 us 1.73803 us
- 58.9475 ns 36.6068 ns 87.466 ns
-
-Seq_List 1000 100 3 2.1756 ms
- 7.32046 us 7.28011 us 7.40319 us
- 283.239 ns 160.691 ns 468.914 ns
-
-
-Mem: cowvec_11 (full_): Elements 25 x 16 bytes; CAlloc[ 768 bytes, alloc[balance 1 = 2 - 1]], 1.920000 ratio
-Mem: cowvec_11 (full_): Elements 50 x 16 bytes; CAlloc[ 1,568 bytes, alloc[balance 1 = 2 - 1]], 1.960000 ratio
-Mem: cowvec_11 (full_): Elements 100 x 16 bytes; CAlloc[ 3,168 bytes, alloc[balance 1 = 2 - 1]], 1.980000 ratio
-Mem: cowvec_11 (full_): Elements 200 x 16 bytes; CAlloc[ 6,368 bytes, alloc[balance 1 = 2 - 1]], 1.990000 ratio
-Mem: cowvec_11 (full_): Elements 1,000 x 16 bytes; CAlloc[ 31,968 bytes, alloc[balance 1 = 2 - 1]], 1.998000 ratio
--------------------------------------------------------------------------------
-COW Vector Perf Test 11 - Fill Sequential and List
--------------------------------------------------------------------------------
-/test/test_cowvector_perf01.cpp:258
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Seq_List 25 100 10 2.284 ms
- 2.27211 us 2.26364 us 2.28704 us
- 55.6548 ns 36.1072 ns 83.1873 ns
-
-Seq_List 50 100 4 2.4708 ms
- 6.14203 us 6.12294 us 6.19001 us
- 138.624 ns 22.5121 ns 254.346 ns
-
-Seq_List 100 100 1 2.0615 ms
- 20.2991 us 20.2313 us 20.4742 us
- 502.929 ns 120.184 ns 907.942 ns
-
-Seq_List 200 100 1 6.3719 ms
- 63.9441 us 63.7343 us 64.293 us
- 1.34563 us 895.153 ns 2.00555 us
-
-Seq_List 1000 100 1 106.105 ms
- 1.04617 ms 1.04518 ms 1.04712 ms
- 4.92832 us 4.12439 us 6.22148 us
-
-
-Mem: stdvec_02 (full_): Elements 25 x 16 bytes; CAlloc[ 512 bytes, alloc[balance 1 = 6 - 5]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 50 x 16 bytes; CAlloc[ 1,024 bytes, alloc[balance 1 = 7 - 6]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 100 x 16 bytes; CAlloc[ 2,048 bytes, alloc[balance 1 = 8 - 7]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 200 x 16 bytes; CAlloc[ 4,096 bytes, alloc[balance 1 = 9 - 8]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 1,000 x 16 bytes; CAlloc[ 16,384 bytes, alloc[balance 1 = 11 - 10]], 1.024000 ratio
--------------------------------------------------------------------------------
-STD Vector Perf Test 02 - Fill Unique and Find-Each
--------------------------------------------------------------------------------
-/test/test_cowvector_perf01.cpp:286
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Unique Find 25 100 24 2.0616 ms
- 846.189 ns 843.472 ns 852.225 ns
- 19.5557 ns 9.92097 ns 34.0883 ns
-
-Unique Find 50 100 9 2.0943 ms
- 2.27419 us 2.27358 us 2.2756 us
- 4.66728 ns 2.60139 ns 7.45502 ns
-
-Unique Find 100 100 3 2.2263 ms
- 7.79227 us 7.75814 us 7.84904 us
- 221.114 ns 150.556 ns 325.101 ns
-
-Unique Find 200 100 1 2.9961 ms
- 29.4696 us 29.2017 us 29.7451 us
- 1.3753 us 964.726 ns 2.04338 us
-
-Unique Find 1000 100 1 101.375 ms
- 1.00886 ms 1.00591 ms 1.01206 ms
- 15.7557 us 13.6415 us 20.1276 us
-
-
-Mem: cowvec_12 (full_): Elements 25 x 16 bytes; CAlloc[ 768 bytes, alloc[balance 1 = 2 - 1]], 1.920000 ratio
-Mem: cowvec_12 (full_): Elements 50 x 16 bytes; CAlloc[ 1,568 bytes, alloc[balance 1 = 2 - 1]], 1.960000 ratio
-Mem: cowvec_12 (full_): Elements 100 x 16 bytes; CAlloc[ 3,168 bytes, alloc[balance 1 = 2 - 1]], 1.980000 ratio
-Mem: cowvec_12 (full_): Elements 200 x 16 bytes; CAlloc[ 6,368 bytes, alloc[balance 1 = 2 - 1]], 1.990000 ratio
-Mem: cowvec_12 (full_): Elements 1,000 x 16 bytes; CAlloc[ 31,968 bytes, alloc[balance 1 = 2 - 1]], 1.998000 ratio
--------------------------------------------------------------------------------
-COW Vector Perf Test 12 - Fill Unique and Find-Each
--------------------------------------------------------------------------------
-/test/test_cowvector_perf01.cpp:313
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Unique Find 25 100 5 2.2945 ms
- 4.6223 us 4.61348 us 4.63931 us
- 60.3974 ns 38.3079 ns 116.061 ns
-
-Unique Find 50 100 2 3.169 ms
- 15.8017 us 15.7506 us 15.9111 us
- 365.232 ns 205.942 ns 667.899 ns
-
-Unique Find 100 100 1 5.8658 ms
- 57.5863 us 57.486 us 57.9267 us
- 839.216 ns 279.156 ns 1.87942 us
-
-Unique Find 200 100 1 21.1047 ms
- 210.697 us 210.437 us 211.044 us
- 1.52385 us 1.22872 us 2.03313 us
-
-Unique Find 1000 100 1 467.482 ms
- 4.69308 ms 4.6879 ms 4.69895 ms
- 28.3154 us 25.1022 us 32.3612 us
-
-
-===============================================================================
-All tests passed (17403632 assertions in 4 test cases)
-
diff --git a/doc/test/test_cowvector_perf01.arm64-raspi4.log b/doc/test/test_cowvector_perf01.arm64-raspi4.log
deleted file mode 100644
index 7497ffe..0000000
--- a/doc/test/test_cowvector_perf01.arm64-raspi4.log
+++ /dev/null
@@ -1,153 +0,0 @@
-argc 3, auto-run 0
-Mem: stdvec_01 (full_): Elements 25 x 16 bytes; CAlloc[ 512 bytes, alloc[balance 1 = 6 - 5]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 50 x 16 bytes; CAlloc[ 1,024 bytes, alloc[balance 1 = 7 - 6]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 100 x 16 bytes; CAlloc[ 2,048 bytes, alloc[balance 1 = 8 - 7]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 200 x 16 bytes; CAlloc[ 4,096 bytes, alloc[balance 1 = 9 - 8]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 1,000 x 16 bytes; CAlloc[ 16,384 bytes, alloc[balance 1 = 11 - 10]], 1.024000 ratio
-
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-test_cowvector_perf01 is a Catch v3.0.0-preview.3 host application.
-Run with -? for options
-
--------------------------------------------------------------------------------
-STD Vector Perf Test 01 - Fill Sequential and List
--------------------------------------------------------------------------------
-/test/test_cowvector_perf01.cpp:231
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Seq_List 25 100 77 9.9099 ms
- 1.27432 us 1.27211 us 1.27914 us
- 15.8552 ns 6.72908 ns 27.0865 ns
-
-Seq_List 50 100 55 9.9 ms
- 1.79602 us 1.78413 us 1.84783 us
- 107.523 ns 14.5073 ns 253.156 ns
-
-Seq_List 100 100 34 9.9518 ms
- 2.9136 us 2.90828 us 2.92575 us
- 39.7364 ns 22.7895 ns 64.0512 ns
-
-Seq_List 200 100 21 10.0926 ms
- 4.77759 us 4.77012 us 4.79622 us
- 54.9702 ns 16.1965 ns 97.5445 ns
-
-Seq_List 1000 100 6 11.5296 ms
- 19.1583 us 19.1215 us 19.2311 us
- 254.646 ns 157.209 ns 395.481 ns
-
-
-Mem: cowvec_11 (full_): Elements 25 x 16 bytes; CAlloc[ 768 bytes, alloc[balance 1 = 2 - 1]], 1.920000 ratio
-Mem: cowvec_11 (full_): Elements 50 x 16 bytes; CAlloc[ 1,568 bytes, alloc[balance 1 = 2 - 1]], 1.960000 ratio
-Mem: cowvec_11 (full_): Elements 100 x 16 bytes; CAlloc[ 3,168 bytes, alloc[balance 1 = 2 - 1]], 1.980000 ratio
-Mem: cowvec_11 (full_): Elements 200 x 16 bytes; CAlloc[ 6,368 bytes, alloc[balance 1 = 2 - 1]], 1.990000 ratio
-Mem: cowvec_11 (full_): Elements 1,000 x 16 bytes; CAlloc[ 31,968 bytes, alloc[balance 1 = 2 - 1]], 1.998000 ratio
--------------------------------------------------------------------------------
-COW Vector Perf Test 11 - Fill Sequential and List
--------------------------------------------------------------------------------
-/test/test_cowvector_perf01.cpp:258
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Seq_List 25 100 8 10.5888 ms
- 13.4481 us 13.4223 us 13.4991 us
- 178.586 ns 109.07 ns 277.353 ns
-
-Seq_List 50 100 3 10.1469 ms
- 34.5996 us 34.5337 us 34.748 us
- 482.345 ns 282.181 ns 759.841 ns
-
-Seq_List 100 100 2 18.8188 ms
- 94.4849 us 94.3041 us 94.8347 us
- 1.23247 us 752.838 ns 1.9215 us
-
-Seq_List 200 100 1 26.7126 ms
- 266.465 us 266.108 us 267.02 us
- 2.23473 us 1.57151 us 2.96187 us
-
-Seq_List 1000 100 1 445.089 ms
- 4.43661 ms 4.43537 ms 4.43874 ms
- 8.07672 us 5.41298 us 14.4825 us
-
-
-Mem: stdvec_02 (full_): Elements 25 x 16 bytes; CAlloc[ 512 bytes, alloc[balance 1 = 6 - 5]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 50 x 16 bytes; CAlloc[ 1,024 bytes, alloc[balance 1 = 7 - 6]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 100 x 16 bytes; CAlloc[ 2,048 bytes, alloc[balance 1 = 8 - 7]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 200 x 16 bytes; CAlloc[ 4,096 bytes, alloc[balance 1 = 9 - 8]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 1,000 x 16 bytes; CAlloc[ 16,384 bytes, alloc[balance 1 = 11 - 10]], 1.024000 ratio
--------------------------------------------------------------------------------
-STD Vector Perf Test 02 - Fill Unique and Find-Each
--------------------------------------------------------------------------------
-/test/test_cowvector_perf01.cpp:286
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Unique Find 25 100 26 9.9866 ms
- 3.83536 us 3.82892 us 3.85186 us
- 47.3465 ns 10.36 ns 85.6373 ns
-
-Unique Find 50 100 11 10.219 ms
- 9.31415 us 9.294 us 9.35288 us
- 136.606 ns 76.0691 ns 204.992 ns
-
-Unique Find 100 100 4 11.1196 ms
- 27.9158 us 27.8657 us 28.0241 us
- 361.204 ns 203.807 ns 581.343 ns
-
-Unique Find 200 100 2 18.9416 ms
- 94.8942 us 94.7546 us 95.1397 us
- 923.567 ns 584.085 ns 1.32101 us
-
-Unique Find 1000 100 1 364.572 ms
- 3.64712 ms 3.64621 ms 3.64952 ms
- 7.03117 us 3.22424 us 14.8312 us
-
-
-Mem: cowvec_12 (full_): Elements 25 x 16 bytes; CAlloc[ 768 bytes, alloc[balance 1 = 2 - 1]], 1.920000 ratio
-Mem: cowvec_12 (full_): Elements 50 x 16 bytes; CAlloc[ 1,568 bytes, alloc[balance 1 = 2 - 1]], 1.960000 ratio
-Mem: cowvec_12 (full_): Elements 100 x 16 bytes; CAlloc[ 3,168 bytes, alloc[balance 1 = 2 - 1]], 1.980000 ratio
-Mem: cowvec_12 (full_): Elements 200 x 16 bytes; CAlloc[ 6,368 bytes, alloc[balance 1 = 2 - 1]], 1.990000 ratio
-Mem: cowvec_12 (full_): Elements 1,000 x 16 bytes; CAlloc[ 31,968 bytes, alloc[balance 1 = 2 - 1]], 1.998000 ratio
--------------------------------------------------------------------------------
-COW Vector Perf Test 12 - Fill Unique and Find-Each
--------------------------------------------------------------------------------
-/test/test_cowvector_perf01.cpp:313
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Unique Find 25 100 3 10.5069 ms
- 34.8512 us 34.7742 us 35.0189 us
- 551.761 ns 294.3 ns 931.225 ns
-
-Unique Find 50 100 1 11.7274 ms
- 116.652 us 116.491 us 117.052 us
- 1.1968 us 348.796 ns 2.12363 us
-
-Unique Find 100 100 1 42.362 ms
- 420.924 us 420.491 us 421.544 us
- 2.60965 us 1.95353 us 3.25359 us
-
-Unique Find 200 100 1 156.78 ms
- 1.5621 ms 1.56129 ms 1.56296 ms
- 4.24603 us 3.94813 us 4.6176 us
-
-Unique Find 1000 100 1 3.48784 s
- 34.8407 ms 34.837 ms 34.8487 ms
- 26.8157 us 15.8642 us 52.1366 us
-
-
-===============================================================================
-All tests passed (4953760 assertions in 4 test cases)
-
diff --git a/doc/test/test_hashset_perf01.amd64.log b/doc/test/test_hashset_perf01.amd64.log
deleted file mode 100644
index ac70875..0000000
--- a/doc/test/test_hashset_perf01.amd64.log
+++ /dev/null
@@ -1,117 +0,0 @@
-argc 3, auto-run 0
-Mem: stdvec_01 (full_): Elements 25 x 16 bytes; CAlloc[ 512 bytes, alloc[balance 1 = 6 - 5]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 50 x 16 bytes; CAlloc[ 1,024 bytes, alloc[balance 1 = 7 - 6]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 100 x 16 bytes; CAlloc[ 2,048 bytes, alloc[balance 1 = 8 - 7]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 200 x 16 bytes; CAlloc[ 4,096 bytes, alloc[balance 1 = 9 - 8]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 1,000 x 16 bytes; CAlloc[ 16,384 bytes, alloc[balance 1 = 11 - 10]], 1.024000 ratio
-
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-test_hashset_perf01 is a Catch v3.0.0-preview.3 host application.
-Run with -? for options
-
--------------------------------------------------------------------------------
-STD Vector Perf Test 01 - Fill Sequential and List
--------------------------------------------------------------------------------
-/test/test_hashset_perf01.cpp:269
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Seq_List 25 100 60 2.064 ms
- 343.05 ns 342.936 ns 343.582 ns
- 1.07506 ns 0.0932254 ns 2.55378 ns
-
-Seq_List 50 100 39 2.067 ms
- 550.599 ns 546.832 ns 556.485 ns
- 23.629 ns 16.807 ns 38.1638 ns
-
-Seq_List 100 100 23 2.1344 ms
- 908.328 ns 905.844 ns 915.301 ns
- 18.916 ns 2.60158 ns 39.6416 ns
-
-Seq_List 200 100 13 2.1619 ms
- 1.6673 us 1.66284 us 1.67519 us
- 29.6194 ns 19.2921 ns 47.6946 ns
-
-Seq_List 1000 100 3 2.1549 ms
- 7.34832 us 7.30432 us 7.43755 us
- 306.073 ns 179.633 ns 483.433 ns
-
-
-Mem: stdvec_02 (full_): Elements 25 x 16 bytes; CAlloc[ 512 bytes, alloc[balance 1 = 6 - 5]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 50 x 16 bytes; CAlloc[ 1,024 bytes, alloc[balance 1 = 7 - 6]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 100 x 16 bytes; CAlloc[ 2,048 bytes, alloc[balance 1 = 8 - 7]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 200 x 16 bytes; CAlloc[ 4,096 bytes, alloc[balance 1 = 9 - 8]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 1,000 x 16 bytes; CAlloc[ 16,384 bytes, alloc[balance 1 = 11 - 10]], 1.024000 ratio
--------------------------------------------------------------------------------
-STD Vector Perf Test 02 - Fill Unique and Find-Each
--------------------------------------------------------------------------------
-/test/test_hashset_perf01.cpp:297
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Unique Find 25 100 24 2.0472 ms
- 852.497 ns 849.73 ns 858.158 ns
- 19.3529 ns 10.6049 ns 30.5871 ns
-
-Unique Find 50 100 9 2.0709 ms
- 2.24281 us 2.22486 us 2.25011 us
- 53.3331 ns 15.7256 ns 94.6539 ns
-
-Unique Find 100 100 3 2.2842 ms
- 6.75987 us 6.7288 us 6.81588 us
- 206.88 ns 129.222 ns 302.069 ns
-
-Unique Find 200 100 1 2.7023 ms
- 26.4917 us 26.4056 us 26.6488 us
- 572.088 ns 274.826 ns 957.771 ns
-
-Unique Find 1000 100 1 84.9358 ms
- 970.189 us 968.48 us 972.371 us
- 9.84229 us 7.6143 us 14.9796 us
-
-
-Mem: stdset_12 (full_): Elements 25 x 16 bytes; CAlloc[ 600 bytes, alloc[balance 25 = 25 - 0]], 1.500000 ratio
-Mem: stdset_12 (full_): Elements 50 x 16 bytes; CAlloc[ 1,200 bytes, alloc[balance 50 = 50 - 0]], 1.500000 ratio
-Mem: stdset_12 (full_): Elements 100 x 16 bytes; CAlloc[ 2,400 bytes, alloc[balance 100 = 100 - 0]], 1.500000 ratio
-Mem: stdset_12 (full_): Elements 200 x 16 bytes; CAlloc[ 4,800 bytes, alloc[balance 200 = 200 - 0]], 1.500000 ratio
-Mem: stdset_12 (full_): Elements 1,000 x 16 bytes; CAlloc[ 24,000 bytes, alloc[balance 1,000 = 1,000 - 0]], 1.500000 ratio
--------------------------------------------------------------------------------
-STD Unordered-Set Perf Test 12 - Fill Unique and Find-Each
--------------------------------------------------------------------------------
-/test/test_hashset_perf01.cpp:324
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Unique Find 25 100 12 2.1552 ms
- 1.81641 us 1.8122 us 1.83224 us
- 36.556 ns 7.89957 ns 84.0457 ns
-
-Unique Find 50 100 7 2.359 ms
- 3.3691 us 3.36238 us 3.39531 us
- 57.3478 ns 6.25338 ns 131.391 ns
-
-Unique Find 100 100 4 2.6164 ms
- 6.49391 us 6.48824 us 6.51029 us
- 45.1634 ns 19.76 ns 97.6575 ns
-
-Unique Find 200 100 2 2.764 ms
- 13.3148 us 13.2758 us 13.4136 us
- 294.994 ns 142.841 ns 589.103 ns
-
-Unique Find 1000 100 1 8.7068 ms
- 86.4785 us 86.267 us 86.9334 us
- 1.50441 us 802.647 ns 2.52316 us
-
-
-===============================================================================
-All tests passed (17601392 assertions in 3 test cases)
-
diff --git a/doc/test/test_hashset_perf01.arm64-raspi4.log b/doc/test/test_hashset_perf01.arm64-raspi4.log
deleted file mode 100644
index a362fa1..0000000
--- a/doc/test/test_hashset_perf01.arm64-raspi4.log
+++ /dev/null
@@ -1,117 +0,0 @@
-argc 3, auto-run 0
-Mem: stdvec_01 (full_): Elements 25 x 16 bytes; CAlloc[ 512 bytes, alloc[balance 1 = 6 - 5]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 50 x 16 bytes; CAlloc[ 1,024 bytes, alloc[balance 1 = 7 - 6]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 100 x 16 bytes; CAlloc[ 2,048 bytes, alloc[balance 1 = 8 - 7]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 200 x 16 bytes; CAlloc[ 4,096 bytes, alloc[balance 1 = 9 - 8]], 1.280000 ratio
-Mem: stdvec_01 (full_): Elements 1,000 x 16 bytes; CAlloc[ 16,384 bytes, alloc[balance 1 = 11 - 10]], 1.024000 ratio
-
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-test_hashset_perf01 is a Catch v3.0.0-preview.3 host application.
-Run with -? for options
-
--------------------------------------------------------------------------------
-STD Vector Perf Test 01 - Fill Sequential and List
--------------------------------------------------------------------------------
-/test/test_hashset_perf01.cpp:269
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Seq_List 25 100 78 10.101 ms
- 1.29545 us 1.2927 us 1.3001 us
- 17.8456 ns 12.1376 ns 26.3005 ns
-
-Seq_List 50 100 55 10.197 ms
- 1.84654 us 1.84393 us 1.85299 us
- 19.4339 ns 6.01208 ns 34.476 ns
-
-Seq_List 100 100 35 10.1465 ms
- 2.90007 us 2.89447 us 2.9121 us
- 40.0101 ns 23.2939 ns 62.6749 ns
-
-Seq_List 200 100 21 10.0674 ms
- 4.79983 us 4.78373 us 4.8477 us
- 129.534 ns 47.2952 ns 274.068 ns
-
-Seq_List 1000 100 6 11.4552 ms
- 19.1848 us 19.1531 us 19.261 us
- 246.522 ns 143.048 ns 391.5 ns
-
-
-Mem: stdvec_02 (full_): Elements 25 x 16 bytes; CAlloc[ 512 bytes, alloc[balance 1 = 6 - 5]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 50 x 16 bytes; CAlloc[ 1,024 bytes, alloc[balance 1 = 7 - 6]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 100 x 16 bytes; CAlloc[ 2,048 bytes, alloc[balance 1 = 8 - 7]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 200 x 16 bytes; CAlloc[ 4,096 bytes, alloc[balance 1 = 9 - 8]], 1.280000 ratio
-Mem: stdvec_02 (full_): Elements 1,000 x 16 bytes; CAlloc[ 16,384 bytes, alloc[balance 1 = 11 - 10]], 1.024000 ratio
--------------------------------------------------------------------------------
-STD Vector Perf Test 02 - Fill Unique and Find-Each
--------------------------------------------------------------------------------
-/test/test_hashset_perf01.cpp:297
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Unique Find 25 100 27 10.1493 ms
- 3.79413 us 3.78826 us 3.8091 us
- 43.2259 ns 11.7687 ns 77.1456 ns
-
-Unique Find 50 100 11 10.0749 ms
- 9.21581 us 9.19898 us 9.25444 us
- 125.095 ns 72.4751 ns 198.256 ns
-
-Unique Find 100 100 4 10.9788 ms
- 27.6046 us 27.5425 us 27.7244 us
- 412.409 ns 217.397 ns 623.793 ns
-
-Unique Find 200 100 2 18.8014 ms
- 94.2517 us 94.1176 us 94.4959 us
- 894.732 ns 565.305 ns 1.28047 us
-
-Unique Find 1000 100 1 343.853 ms
- 3.43966 ms 3.43877 ms 3.44153 ms
- 6.31207 us 3.50588 us 12.5288 us
-
-
-Mem: stdset_12 (full_): Elements 25 x 16 bytes; CAlloc[ 600 bytes, alloc[balance 25 = 25 - 0]], 1.500000 ratio
-Mem: stdset_12 (full_): Elements 50 x 16 bytes; CAlloc[ 1,200 bytes, alloc[balance 50 = 50 - 0]], 1.500000 ratio
-Mem: stdset_12 (full_): Elements 100 x 16 bytes; CAlloc[ 2,400 bytes, alloc[balance 100 = 100 - 0]], 1.500000 ratio
-Mem: stdset_12 (full_): Elements 200 x 16 bytes; CAlloc[ 4,800 bytes, alloc[balance 200 = 200 - 0]], 1.500000 ratio
-Mem: stdset_12 (full_): Elements 1,000 x 16 bytes; CAlloc[ 24,000 bytes, alloc[balance 1,000 = 1,000 - 0]], 1.500000 ratio
--------------------------------------------------------------------------------
-STD Unordered-Set Perf Test 12 - Fill Unique and Find-Each
--------------------------------------------------------------------------------
-/test/test_hashset_perf01.cpp:324
-...............................................................................
-
-benchmark name samples iterations estimated
- mean low mean high mean
- std dev low std dev high std dev
--------------------------------------------------------------------------------
-Unique Find 25 100 14 10.4202 ms
- 7.47964 us 7.46322 us 7.51494 us
- 118.007 ns 69.3892 ns 186.392 ns
-
-Unique Find 50 100 8 10.6464 ms
- 13.284 us 13.248 us 13.3487 us
- 239.185 ns 152.993 ns 359.936 ns
-
-Unique Find 100 100 4 10.7904 ms
- 27.1248 us 27.0621 us 27.2544 us
- 441.752 ns 252.981 ns 695.429 ns
-
-Unique Find 200 100 2 11.4072 ms
- 57.1536 us 56.7599 us 58.7903 us
- 3.51188 us 669.03 ns 8.19054 us
-
-Unique Find 1000 100 1 33.7565 ms
- 338.059 us 337.468 us 338.85 us
- 3.47204 us 2.71059 us 4.28299 us
-
-
-===============================================================================
-All tests passed (5198408 assertions in 3 test cases)
-
generated by cgit v1.2.3 (git 2.39.1) at 2024-12-03 04:42:39 +0000