diff options
Diffstat (limited to 'src/dsp/convolve_test.cc')
| -rw-r--r-- | src/dsp/convolve_test.cc | 1610 |
1 files changed, 782 insertions, 828 deletions
diff --git a/src/dsp/convolve_test.cc b/src/dsp/convolve_test.cc index 4a2a9f1..295c814 100644 --- a/src/dsp/convolve_test.cc +++ b/src/dsp/convolve_test.cc @@ -16,7 +16,6 @@ #include <algorithm> #include <cassert> -#include <cmath> #include <cstddef> #include <cstdint> #include <cstdio> @@ -34,6 +33,7 @@ #include "src/dsp/constants.h" #include "src/dsp/dsp.h" #include "src/utils/common.h" +#include "src/utils/compiler_attributes.h" #include "src/utils/constants.h" #include "src/utils/cpu.h" #include "src/utils/memory.h" @@ -55,669 +55,368 @@ constexpr int kMaxBlockHeight = kMaxSuperBlockSizeInPixels + kSubPixelTaps; // filters [4] and [5] are only reached through GetFilterIndex(). constexpr int kMinimumViableRuns = 4 * 16; -// When is_scaled_convolve_ is true, we don't test every combination of -// type_param_, so some digests in ths array are redudant, marked as -// "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa". -// We keep it so that the logic of calculation id in GetDigestId() is clearer. -const char* GetDigest8bpp(int id) { - static const char* const kDigest[] = { - "ae5977a4ceffbac0cde72a04a43a9d57", "fab093b917d36f6b69fb4f50a6b5c822", - "1168251e6261e2ff1fa69a93226dbd76", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d2f5ca2b7958c332a3fb771f66da01f0", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6bbcc075f8b768a02cdc9149f150326d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c4e90cd202f9867517433b550afdc644", "43d6df191744f6c5d489c0673714a714", - "bfe8197057b0f3f096344251047f481f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1681719b0f8905d99382f4132fe1472a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "8d24b59c0f3942079ba4945ed6686269", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ae5977a4ceffbac0cde72a04a43a9d57", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "995318eff1fe62822366490192ad8b5e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0ef1c5beb3228c6d9ecf3ced584c4aa8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "fc02228efb85c665bd27a3dab72a9037", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6cf5f791fe0d8dcd3526be3c6b814035", "eaa0942097fd2b2dd621b77e0a659896", - "4821befdf63f8c6da6440afeb57f320f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "7aec92c3b65e456b64ae285c12b03b0d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4ae70d9db2ec36885394db7d59bdd4f7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "911212ae2492690de06d12bfaf71c7d4", "cb284b0ae039582039563638f682db26", - "6b4393b2d7387dd291d3a7bd3aabcae4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0804d93136549388b6cd7fdcd187a578", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b25f037602efdb4eaacb3ade1dc5c28f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6cf5f791fe0d8dcd3526be3c6b814035", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "704b0bb4128aa163ef5899e6d8ad9664", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "abf3f31ec4daff000e80f7ab9628688b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "09e12a389cd454e10f750062102ea1b2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d905dfcad930aded7718587c05b48aaf", "fe85aaee8007d2130d56919242e01163", - "c30fc44d83821141e84cc4793e127301", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f72a99ad63f6a88c23724e898b705d21", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "5fee162fe52c11c823db4d5ede370654", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a9210113ff6873e5b50d5d3ad67e440f", "b7633a78f959b20ca27ffb700b44b45c", - "6d1c5145be9fd636ababd64c64d23a10", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d55d8012ddddb55e6c3e51dafab92980", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b1948cb353fa308f0d5592b0ad338997", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d905dfcad930aded7718587c05b48aaf", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "04e3b7f46e748431c76cf6125057601c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "71362b65cffd008d1ca4a20adc8cc15f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "987f7a6a8bef47acbd1e49bb39f51ac4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6baf153feff04cc5b7e87c0bb60a905d", "fa1ad095bf696745599079fb73975b75", - "a8293b933d9f2e5d7f922ea40111d643", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "07a1f07f114c4a38ba08d2f44e1e1132", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9365186c59ef66d9def40f437022ad93", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a7305087fae23de53d21a6909009ff69", "bd44440b5757b74bcc3e2f7f32ef42af", - "a5a1ac658d7ce4a846a32b9fcfaa3475", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3b1ceebf0579fcbbfd6136938c595b91", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3bfad931bce82335219e0e29c15f2b21", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6baf153feff04cc5b7e87c0bb60a905d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4cfad2c437084a93ea76913e21c2dd89", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1a0bdfc96a3b9fd904e658f238ab1076", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b8a710baa6a9fc784909671d450ecd99", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "871ed5a69ca31e6444faa720895949bf", "e55d0c54fd28355d32e29d411488b571", - "354a54861a94e8b027afd9931e61f997", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "26b9de95edb45b31ac5aa19825831c7a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0f95fb0276c9c7910937fbdf75f2811d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "8dcce009395264379c1a51239f4bb22c", "06925f05ea49811e3efc2a44b111b32b", - "2370f4e4a83edf91b7f504bbe4b00e90", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ecafabcad1045f15d31ce2f3b13132f2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "68a701313d2247d2b32636ebc1f2a008", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "871ed5a69ca31e6444faa720895949bf", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d372f0c17bce98855d6d59fbee814c3d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "56d16e54afe205e97527902770e71c71", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f9e6a56382d8d12da676d6631bb6ef75", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "68e2f90eaa0ab5da7e6f5776993f7eea", "8718965c4831a363a321a25f4aada7ba", - "eeeb8589c1b31cbb565154736ca939ec", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c1b836a6ce023663b90db0e320389414", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b355dab2dbb6f5869018563eece22862", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "8dcce009395264379c1a51239f4bb22c", "e7c2bfd356c860c36053dea19f8d0705", - "ae5464066a049622a7a264cdf9394b55", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "5f211eba020e256a5781b203c5aa1d2e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "05afe1f40d37a45a97a5e0aadd5066fb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "68e2f90eaa0ab5da7e6f5776993f7eea", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d99ffd2579eb781c30bc0df7b76ad61e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1f7b5b8282ff3cf4d8e8c52d80ef5b4d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3bf8e11e18527b16f0d7c0361d74a52d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f1f8282fb33c30eb68c0c315b7a4bc01", "4c718ddbe8b5aa7118c8bc1c2f5ea158", - "f49dab626ddd977ed171f79295c24935", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "5befcf222152ebc8d779fcc10b95320a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "cf6ff8c43d8059cea6090a23ab66a0ef", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d90a69e7bae8aa46ed0e1e5f911d7a07", "1d7113d705fa0edeef49e5c50a91151d", - "45368b6db3d1fee739a64b0bc823ea9c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3b04497634364dd2cd3f2482b5d4b32f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9e1f0e0bddb58d15d0925eeaede9b84c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f1f8282fb33c30eb68c0c315b7a4bc01", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4e139e57cbb049a0f4ef816adc48d026", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "79e9e260a2028c5fe320005c272064b9", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b9ff54c6f1e3b41fc7fc0f3fa0e75cf2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9412064b0eebf8123f23d74147d04dff", "0dee657827cd48c4ce4a7657f6f92233", - "78d2f27e0d4708cb16856d7d40dc16fb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "62adf407fc27d8682ced4dd7b55af14e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a336f8b7bcf188840ca65c0d0e66518a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6ab4dc87be03be1dcc5d956ca819d938", "78cef82670ff99b1e4a279de3538c233", - "8dff0f28192d9f8c0bf7fb5405719dd8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a8ac7b5dc65ffb758b0643508a0e744e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "03313cdaa593a1a7b4869010dcc7b241", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9412064b0eebf8123f23d74147d04dff", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "be53b2507048e7ff50226d15c0b28865", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2418ebcdf85551b9ae6e3725f04aae6d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "06ef1504f31af5f173d3317866ca57cb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "cc08936effe309ab9a4fa1bf7e28e24e", "a81bcdeb021d3a23477c40c47548df52", - "9d2393ea156a1c2083f5b4207793064b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "35be0786a072bf2f1286989261bf6580", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "de953f03895923359c6a719e6a537b89", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6ab4dc87be03be1dcc5d956ca819d938", "e053321d7c75951d5ff3dce85762acd3", - "632738ef3ff3021cff45045c41978849", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "561ed8be43c221a561f8885a0d74c7ef", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "88a50d2b4107ee5b5074b2520183f8ac", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "cc08936effe309ab9a4fa1bf7e28e24e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b73f3c1a10405de89d1f9e812ff73b5a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "98bdf907ebacacb734c9eef1ee727c6e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "635e8ee11cf04d73598549234ad732a0", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "36cbef36fa21b98df03536c918bf752a", "b7a4d080e2f24040eebb785f437de66a", - "a9c62745b95c66fa497a524886af57e2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "90562fc42dc5d879ae74c4909c1dec30", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "8463ade9347ed602663e2cec5c4c3fe6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "8f2afdb2f03cd04ffacd421b958caaa0", "2e15a26905467e5ad9f8da04b94e60b6", - "f7ec43384037e8d6c618e0df826ec029", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "8159619fc234598c8c75154d80021fd4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ac50ea9f7306da95a5092709442989cf", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "36cbef36fa21b98df03536c918bf752a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c7d51b1f2df49ab83962257e8a5934e5", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4dd5672d53c8f359e8f80badaa843dfc", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "fab693410d59ee88aa2895527efc31ac", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9d0da6321cf5311ea0bdd41271763030", "22ff7819c55ce6b2e0ce5431eb8c309c", - "2c614ec4463386ec075a0f1dbb587933", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a1427352f9e413975a0949e2b300c657", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "392de11ffcd5c2ecf3db3480ee135340", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "710ccecc103033088d898a2b924551fb", "160c29a91e372d66b12e171e4d81bc18", - "a6bc648197781a2dc99c487e66464320", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "8f43645dce92cf7594aa4822aa53b17d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "739b17591437edffd36799237b962658", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9d0da6321cf5311ea0bdd41271763030", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "159e443d79cc59b11ca4a80aa7aa09be", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a1bef519bbf07138e2eec5a91694de46", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3041eb26c23a63a587fbec623919e2d2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "55a10165ee8a660d7dddacf7de558cdd", "355b691a656e6a287e4504ef2fbb8034", - "7a8856480d752153370240b066b90f6a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "bcbc418bc2beb243e463851cd95335a9", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "bddd31e3e852712e6244b616622af83d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "710ccecc103033088d898a2b924551fb", "f6cb80c4d5683553929b1e41f99e487e", - "1112ebd509007154c72c5a485b220b62", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b6ccddb7dfa4eddc87b4eff08b5a3195", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b8a7eb7dd9c216e240517edfc6489397", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "55a10165ee8a660d7dddacf7de558cdd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6ef14b14882e1465b0482b0e0b16d8ce", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "df1cb51fe1a937cd7834e973dc5cb814", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c61d99d5daf575664fb7ad64976f4b03", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ac7fc9f9ea7213743fae5a023faaaf08", "a6307a981600c3fb5b9d3e89ddf55069", - "beaef1dbffadc701fccb7c18a03e3a41", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "cb8fedcbecee3947358dc61f95e56530", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "30a36245c40d978fc8976b442a8600c3", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a4093e3e5902dd659407ce6471635a4e", "658f0f51eb2f965f7490053852653fc0", - "9714c4ce636b6fb0ad05cba246d48c76", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b4e605327b28db573d88844a1a09db8d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "75b755f199dbf4a0e5ebbb86c2bd871d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ac7fc9f9ea7213743fae5a023faaaf08", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "22a8d287b425c870f40c64a50f91ce54", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "317fe65abf81ef3ea07976ef8667baeb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "822f6c4eb5db760468d822b21f48d94d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "077e1b7b355c7ab3ca40230ee8efd8ea", "628229ce2484d67e72c51b2f4ad124a6", - "72b1e700c949d06eaf62d664dafdb5b6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0d0154a7d573685285a83a4cf201ac57", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "93aa662b988b8502e5ea95659eafde59", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "375d7f5358d7a088a498b8b3aaecc0d5", "b726ef75b641c21519ecc2f802bbaf39", - "2c93dde8884f09fb5bb5ad6d95cde86d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "15b00a15d1cc6cc96ca85d00b167e4dd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "31b0017ba1110e3d70b020901bc15564", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "077e1b7b355c7ab3ca40230ee8efd8ea", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f1d96db5a2e0a2160df38bd96d28d19b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2da29da97806ae0ee300c5e69c35a4aa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3f6fcb9fae3666e085b9e29002a802fc", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "7a3e8de2a1caae206cf3e51a86dfd15a", "c266a1b65599686c771fad8a822e7a49", - "684f5c3a25a080edaf79add6e9137a8e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b14bd8068f108905682b83cc15778065", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "70440ba9ee7f9d16d297dbb49e54a56e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "375d7f5358d7a088a498b8b3aaecc0d5", "4dca696cc0552c1d684c4fc963adc336", - "a49e6160b5d1b56bc2046963101cd606", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "7bf911888c11a9fefd604b8b9c82e9a1", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0a1aa8f5ecfd11ddba080af0051c576a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "7a3e8de2a1caae206cf3e51a86dfd15a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "637d1e5221422dfe9a6dbcfd7f62ebdd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "555475f5d1685638169ab904447e4f13", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d9b9fecd195736a6049c528d4cb886b5", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1ddf9020f18fa7883355cf8c0881186a", "e681b35b1fe02e2a6698525040015cd0", - "3be970f49e4288988818b087201d54da", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c96c867d998473197dde9b587be14e3a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1eb2be4c05b50e427e29c72fa566bff5", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "08867ea5cc38c705ec52af821bc4736a", "c51c8bb294f4fa20bdab355ad1e7df37", - "7f084953976111e9f65b57876e7552b1", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "bfb69b4d7d4aed73cfa75a0f55b66440", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "536181ee90de883cc383787aec089221", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1ddf9020f18fa7883355cf8c0881186a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f275af4f1f350ffaaf650310cb5dddec", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b3e3a6234e8045e6182cf90a09f767b2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "fed17fc391e6c3db4aa14ea1d6596c87", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2377dd167ef2707978bed6f10ffd4e76", "b1f6c0cd490b584b1883222a4c281e0f", - "d2b9dba2968894a414756bb510ac389a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f596c63c7b14cada0174e17124c83942", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "52c0980bae63e8459e82eee7d8af2334", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2afb540e8063f58d1b03896486c5e89b", "b929f7956cf35dd6225ca6cf45eacb23", - "0846ec82555b66197c5c45b08240fbcc", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "034d1d62581bd0d840c4cf1e28227931", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "29f82b0f3e4113944bd28aacd9b8489a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2377dd167ef2707978bed6f10ffd4e76", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f81c4d6b001a14584528880fa6988a87", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "849dfeca59074525dea59681a7f88ab4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d0d3482d981989e117cbb32fc4550267", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f918e0e4422967c6a7e47298135c7ae9", "fc8718e6f9e6663c2b6bf9710f835bfc", - "9a3215eb97aedbbddd76c7440837d040", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "eb2822ad8204ed4ecbf0f30fcb210498", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "75e57104d6058cd2bce1d3d8142d273d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2afb540e8063f58d1b03896486c5e89b", "d9d9f3c699cd03ab9d698e6b235ddcc6", - "ca7471c126ccd22189e874f0a6e41960", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "8cba849640e9e2859d509bc81ca94acd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ee3e76371240d1f1ff811cea6a7d4f63", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f918e0e4422967c6a7e47298135c7ae9", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a5a2f9c2e7759d8a3dec1bc4b56be587", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "39a68af80be11e1682b6f3c4ede33530", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "39561688bf6680054edbfae6035316ce", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b2264e129636368b5496760b39e64b7a", "4dbb4ce94d4948c990a51b15959d2fa6", - "4e317feac6da46addf0e8b9d8d54304b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "538ce869ffd23b6963e61badfab7712b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b4c735269ade44419169adbd852d5ddc", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6ce47b11d2e60c5d183c84ce9f2e46cc", "3ac8d5b68ebb29fd1a41c5fa9d5f4382", - "0802b6318fbd0969a33de8fdfcd07f10", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "bc79acf2a0fe419194cdb4529bc7dcc8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "17a20dbbf09feae557d40aa5818fbe76", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b2264e129636368b5496760b39e64b7a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2317c57ab69a36eb3bf278cf8a8795a3", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b22d765af176d87e7d3048b4b89b86ad", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "087c5992ca6f829e1ba4ba5332d67947", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c9cf1deba08dac5972b3b0a43eff8f98", "84777bdeb84e2530a1c8c1ee432ec934", - "b384e9e3d81f9f4f9024028fbe451d8b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4e4677a0623d44237eb8d6a622cdc526", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "356d4003477283e157c8d2b5a79d913c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c9cf1deba08dac5972b3b0a43eff8f98", "1e58b76ca365b0bd4fd3c4519ec4a500", - "24accebe2e795b13fcb56dd3abacf53f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "98f584ceaf2d65af997f85d71ceeda1b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c9cf1deba08dac5972b3b0a43eff8f98", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1e58b76ca365b0bd4fd3c4519ec4a500", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "24accebe2e795b13fcb56dd3abacf53f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "98f584ceaf2d65af997f85d71ceeda1b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", +struct ConvolveTestParam { + enum BlockSize { + kBlockSize2x2, + kBlockSize2x4, + kBlockSize4x2, + kBlockSize4x4, + kBlockSize4x8, + kBlockSize8x2, + kBlockSize8x4, + kBlockSize8x8, + kBlockSize8x16, + kBlockSize16x8, + kBlockSize16x16, + kBlockSize16x32, + kBlockSize32x16, + kBlockSize32x32, + kBlockSize32x64, + kBlockSize64x32, + kBlockSize64x64, + kBlockSize64x128, + kBlockSize128x64, + kBlockSize128x128, + kNumBlockSizes + }; + + static constexpr int kBlockWidth[kNumBlockSizes] = { + 2, 2, 4, 4, 4, 8, 8, 8, 8, 16, 16, 16, 32, 32, 32, 64, 64, 64, 128, 128}; + static constexpr int kBlockHeight[kNumBlockSizes] = { + 2, 4, 2, 4, 8, 2, 4, 8, 16, 8, 16, 32, 16, 32, 64, 32, 64, 128, 64, 128}; + + explicit ConvolveTestParam(BlockSize block_size) + : block_size(block_size), + width(kBlockWidth[block_size]), + height(kBlockHeight[block_size]) {} + + BlockSize block_size; + int width; + int height; +}; + +#if !LIBGAV1_CXX17 +constexpr int ConvolveTestParam::kBlockWidth[kNumBlockSizes]; // static. +constexpr int ConvolveTestParam::kBlockHeight[kNumBlockSizes]; // static. +#endif + +const char* GetConvolveDigest8bpp(int id) { + // Entries containing 'XXXXX...' are skipped. See the test for details. + static const char* const kDigest[ConvolveTestParam::kNumBlockSizes * 16] = { + "ae5977a4ceffbac0cde72a04a43a9d57", "6cf5f791fe0d8dcd3526be3c6b814035", + "d905dfcad930aded7718587c05b48aaf", "6baf153feff04cc5b7e87c0bb60a905d", + "871ed5a69ca31e6444faa720895949bf", "c9cf1deba08dac5972b3b0a43eff8f98", + "68e2f90eaa0ab5da7e6f5776993f7eea", "f1f8282fb33c30eb68c0c315b7a4bc01", + "9412064b0eebf8123f23d74147d04dff", "cc08936effe309ab9a4fa1bf7e28e24e", + "36cbef36fa21b98df03536c918bf752a", "9d0da6321cf5311ea0bdd41271763030", + "55a10165ee8a660d7dddacf7de558cdd", "ac7fc9f9ea7213743fae5a023faaaf08", + "077e1b7b355c7ab3ca40230ee8efd8ea", "7a3e8de2a1caae206cf3e51a86dfd15a", + "1ddf9020f18fa7883355cf8c0881186a", "2377dd167ef2707978bed6f10ffd4e76", + "f918e0e4422967c6a7e47298135c7ae9", "b2264e129636368b5496760b39e64b7a", + "1168251e6261e2ff1fa69a93226dbd76", "4821befdf63f8c6da6440afeb57f320f", + "c30fc44d83821141e84cc4793e127301", "a8293b933d9f2e5d7f922ea40111d643", + "354a54861a94e8b027afd9931e61f997", "b384e9e3d81f9f4f9024028fbe451d8b", + "eeeb8589c1b31cbb565154736ca939ec", "f49dab626ddd977ed171f79295c24935", + "78d2f27e0d4708cb16856d7d40dc16fb", "9d2393ea156a1c2083f5b4207793064b", + "a9c62745b95c66fa497a524886af57e2", "2c614ec4463386ec075a0f1dbb587933", + "7a8856480d752153370240b066b90f6a", "beaef1dbffadc701fccb7c18a03e3a41", + "72b1e700c949d06eaf62d664dafdb5b6", "684f5c3a25a080edaf79add6e9137a8e", + "3be970f49e4288988818b087201d54da", "d2b9dba2968894a414756bb510ac389a", + "9a3215eb97aedbbddd76c7440837d040", "4e317feac6da46addf0e8b9d8d54304b", + "d2f5ca2b7958c332a3fb771f66da01f0", "7aec92c3b65e456b64ae285c12b03b0d", + "f72a99ad63f6a88c23724e898b705d21", "07a1f07f114c4a38ba08d2f44e1e1132", + "26b9de95edb45b31ac5aa19825831c7a", "4e4677a0623d44237eb8d6a622cdc526", + "c1b836a6ce023663b90db0e320389414", "5befcf222152ebc8d779fcc10b95320a", + "62adf407fc27d8682ced4dd7b55af14e", "35be0786a072bf2f1286989261bf6580", + "90562fc42dc5d879ae74c4909c1dec30", "a1427352f9e413975a0949e2b300c657", + "bcbc418bc2beb243e463851cd95335a9", "cb8fedcbecee3947358dc61f95e56530", + "0d0154a7d573685285a83a4cf201ac57", "b14bd8068f108905682b83cc15778065", + "c96c867d998473197dde9b587be14e3a", "f596c63c7b14cada0174e17124c83942", + "eb2822ad8204ed4ecbf0f30fcb210498", "538ce869ffd23b6963e61badfab7712b", + "6bbcc075f8b768a02cdc9149f150326d", "4ae70d9db2ec36885394db7d59bdd4f7", + "5fee162fe52c11c823db4d5ede370654", "9365186c59ef66d9def40f437022ad93", + "0f95fb0276c9c7910937fbdf75f2811d", "356d4003477283e157c8d2b5a79d913c", + "b355dab2dbb6f5869018563eece22862", "cf6ff8c43d8059cea6090a23ab66a0ef", + "a336f8b7bcf188840ca65c0d0e66518a", "de953f03895923359c6a719e6a537b89", + "8463ade9347ed602663e2cec5c4c3fe6", "392de11ffcd5c2ecf3db3480ee135340", + "bddd31e3e852712e6244b616622af83d", "30a36245c40d978fc8976b442a8600c3", + "93aa662b988b8502e5ea95659eafde59", "70440ba9ee7f9d16d297dbb49e54a56e", + "1eb2be4c05b50e427e29c72fa566bff5", "52c0980bae63e8459e82eee7d8af2334", + "75e57104d6058cd2bce1d3d8142d273d", "b4c735269ade44419169adbd852d5ddc", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "a7305087fae23de53d21a6909009ff69", + "8dcce009395264379c1a51239f4bb22c", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "8dcce009395264379c1a51239f4bb22c", "d90a69e7bae8aa46ed0e1e5f911d7a07", + "6ab4dc87be03be1dcc5d956ca819d938", "6ab4dc87be03be1dcc5d956ca819d938", + "8f2afdb2f03cd04ffacd421b958caaa0", "710ccecc103033088d898a2b924551fb", + "710ccecc103033088d898a2b924551fb", "a4093e3e5902dd659407ce6471635a4e", + "375d7f5358d7a088a498b8b3aaecc0d5", "375d7f5358d7a088a498b8b3aaecc0d5", + "08867ea5cc38c705ec52af821bc4736a", "2afb540e8063f58d1b03896486c5e89b", + "2afb540e8063f58d1b03896486c5e89b", "6ce47b11d2e60c5d183c84ce9f2e46cc", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "a5a1ac658d7ce4a846a32b9fcfaa3475", + "2370f4e4a83edf91b7f504bbe4b00e90", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "ae5464066a049622a7a264cdf9394b55", "45368b6db3d1fee739a64b0bc823ea9c", + "8dff0f28192d9f8c0bf7fb5405719dd8", "632738ef3ff3021cff45045c41978849", + "f7ec43384037e8d6c618e0df826ec029", "a6bc648197781a2dc99c487e66464320", + "1112ebd509007154c72c5a485b220b62", "9714c4ce636b6fb0ad05cba246d48c76", + "2c93dde8884f09fb5bb5ad6d95cde86d", "a49e6160b5d1b56bc2046963101cd606", + "7f084953976111e9f65b57876e7552b1", "0846ec82555b66197c5c45b08240fbcc", + "ca7471c126ccd22189e874f0a6e41960", "0802b6318fbd0969a33de8fdfcd07f10", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "3b1ceebf0579fcbbfd6136938c595b91", + "ecafabcad1045f15d31ce2f3b13132f2", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "5f211eba020e256a5781b203c5aa1d2e", "3b04497634364dd2cd3f2482b5d4b32f", + "a8ac7b5dc65ffb758b0643508a0e744e", "561ed8be43c221a561f8885a0d74c7ef", + "8159619fc234598c8c75154d80021fd4", "8f43645dce92cf7594aa4822aa53b17d", + "b6ccddb7dfa4eddc87b4eff08b5a3195", "b4e605327b28db573d88844a1a09db8d", + "15b00a15d1cc6cc96ca85d00b167e4dd", "7bf911888c11a9fefd604b8b9c82e9a1", + "bfb69b4d7d4aed73cfa75a0f55b66440", "034d1d62581bd0d840c4cf1e28227931", + "8cba849640e9e2859d509bc81ca94acd", "bc79acf2a0fe419194cdb4529bc7dcc8", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "3bfad931bce82335219e0e29c15f2b21", + "68a701313d2247d2b32636ebc1f2a008", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "05afe1f40d37a45a97a5e0aadd5066fb", "9e1f0e0bddb58d15d0925eeaede9b84c", + "03313cdaa593a1a7b4869010dcc7b241", "88a50d2b4107ee5b5074b2520183f8ac", + "ac50ea9f7306da95a5092709442989cf", "739b17591437edffd36799237b962658", + "b8a7eb7dd9c216e240517edfc6489397", "75b755f199dbf4a0e5ebbb86c2bd871d", + "31b0017ba1110e3d70b020901bc15564", "0a1aa8f5ecfd11ddba080af0051c576a", + "536181ee90de883cc383787aec089221", "29f82b0f3e4113944bd28aacd9b8489a", + "ee3e76371240d1f1ff811cea6a7d4f63", "17a20dbbf09feae557d40aa5818fbe76", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "6baf153feff04cc5b7e87c0bb60a905d", + "871ed5a69ca31e6444faa720895949bf", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "68e2f90eaa0ab5da7e6f5776993f7eea", "f1f8282fb33c30eb68c0c315b7a4bc01", + "9412064b0eebf8123f23d74147d04dff", "cc08936effe309ab9a4fa1bf7e28e24e", + "36cbef36fa21b98df03536c918bf752a", "9d0da6321cf5311ea0bdd41271763030", + "55a10165ee8a660d7dddacf7de558cdd", "ac7fc9f9ea7213743fae5a023faaaf08", + "077e1b7b355c7ab3ca40230ee8efd8ea", "7a3e8de2a1caae206cf3e51a86dfd15a", + "1ddf9020f18fa7883355cf8c0881186a", "2377dd167ef2707978bed6f10ffd4e76", + "f918e0e4422967c6a7e47298135c7ae9", "b2264e129636368b5496760b39e64b7a", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "4cfad2c437084a93ea76913e21c2dd89", + "d372f0c17bce98855d6d59fbee814c3d", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "d99ffd2579eb781c30bc0df7b76ad61e", "4e139e57cbb049a0f4ef816adc48d026", + "be53b2507048e7ff50226d15c0b28865", "b73f3c1a10405de89d1f9e812ff73b5a", + "c7d51b1f2df49ab83962257e8a5934e5", "159e443d79cc59b11ca4a80aa7aa09be", + "6ef14b14882e1465b0482b0e0b16d8ce", "22a8d287b425c870f40c64a50f91ce54", + "f1d96db5a2e0a2160df38bd96d28d19b", "637d1e5221422dfe9a6dbcfd7f62ebdd", + "f275af4f1f350ffaaf650310cb5dddec", "f81c4d6b001a14584528880fa6988a87", + "a5a2f9c2e7759d8a3dec1bc4b56be587", "2317c57ab69a36eb3bf278cf8a8795a3", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "1a0bdfc96a3b9fd904e658f238ab1076", + "56d16e54afe205e97527902770e71c71", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "1f7b5b8282ff3cf4d8e8c52d80ef5b4d", "79e9e260a2028c5fe320005c272064b9", + "2418ebcdf85551b9ae6e3725f04aae6d", "98bdf907ebacacb734c9eef1ee727c6e", + "4dd5672d53c8f359e8f80badaa843dfc", "a1bef519bbf07138e2eec5a91694de46", + "df1cb51fe1a937cd7834e973dc5cb814", "317fe65abf81ef3ea07976ef8667baeb", + "2da29da97806ae0ee300c5e69c35a4aa", "555475f5d1685638169ab904447e4f13", + "b3e3a6234e8045e6182cf90a09f767b2", "849dfeca59074525dea59681a7f88ab4", + "39a68af80be11e1682b6f3c4ede33530", "b22d765af176d87e7d3048b4b89b86ad", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "b8a710baa6a9fc784909671d450ecd99", + "f9e6a56382d8d12da676d6631bb6ef75", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "3bf8e11e18527b16f0d7c0361d74a52d", "b9ff54c6f1e3b41fc7fc0f3fa0e75cf2", + "06ef1504f31af5f173d3317866ca57cb", "635e8ee11cf04d73598549234ad732a0", + "fab693410d59ee88aa2895527efc31ac", "3041eb26c23a63a587fbec623919e2d2", + "c61d99d5daf575664fb7ad64976f4b03", "822f6c4eb5db760468d822b21f48d94d", + "3f6fcb9fae3666e085b9e29002a802fc", "d9b9fecd195736a6049c528d4cb886b5", + "fed17fc391e6c3db4aa14ea1d6596c87", "d0d3482d981989e117cbb32fc4550267", + "39561688bf6680054edbfae6035316ce", "087c5992ca6f829e1ba4ba5332d67947", + }; + assert(id >= 0); + assert(id < sizeof(kDigest) / sizeof(kDigest[0])); + return kDigest[id]; +} + +const char* GetConvolveScaleDigest8bpp(int id) { + // Entries containing 'XXXXX...' are skipped. See the test for details. + static const char* const kDigest[ConvolveTestParam::kNumBlockSizes * 2] = { + "0291a23f2ac4c40b5d8e957e63769904", "1d48447857472d6455af10d5526f6827", + "409b2278d6d372248f1891ca0dd12760", "9e416606a3f82fe5bb3f7182e4f42c2d", + "e126563f859ddd5c5ffde6f641168fad", "9bad4f1b7e1865f814b6fd5620816ebd", + "50e5e5a57185477cb2af83490c33b47c", "3d2fb301c61d7fbd0e21ac263f7ac552", + "5920032c6432c80c6e5e61b684018d13", "07ada64d24339488cdce492e6e0c6b0d", + "aaf1589aff6d062a87c627ab9ba20e3e", "91adf91bb24d2c4ea3f882bdf7396e33", + "1d17a932a68bb1f199f709e7725fe44b", "07716c63afda034cb386511ea25a63b5", + "cca17ef3324c41d189e674a059ef1255", "37d17e70619823a606c0b5f74bf2e33b", + "ba8ed5474c187c8e8d7f82a6a29ee860", "27663f037973ebe82ec10252a4d91299", + "24c27e187e8d5a2bbfa0fef9046d3eb0", "9854fdc91a48e3bd4639edcc940e5c09", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "a71907c60a9f1f81972a2859ae54a805", + "817bc3bf0c77abc4186eac39f2320184", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "4e7182a8b226982e2678abcf5f83325d", "50cef7c6e57544135f102226bb95bed9", + "225e054dbcfff05b1c8b0792c731449e", "16eb63f03839159f3af0e08be857170f", + "c8e5d111a2e3f4487330a8bd893cb894", "4fd99eaf9c160442aab35b9bdc5d275b", + "8b0f61bfb30747d4c9215618ac42557c", "1df78022da202cefb9a8100b114152d9", + "378466e1eda63dbc03565b78af8e723f", "28ea721411fbf5fc805035be9a384140", + "4fed5d4163a3bfcc6726a42f20410b0a", "55abfca0c820771bd926e4b94f66a499", + "6c8b8ef0a78859c768e629e1decc0019", "d0ead286b5ba3841d24dd114efbfef0a", }; + assert(id >= 0); + assert(id < sizeof(kDigest) / sizeof(kDigest[0])); return kDigest[id]; } #if LIBGAV1_MAX_BITDEPTH >= 10 -const char* GetDigest10bpp(int id) { - static const char* const kDigest[] = { - "b1b6903d60501c7bc11e5285beb26a52", "3fa4ebd556ea33cfa7f0129ddfda0c5b", - "a693b4bd0334a3b98d45e67d3985bb63", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3e787534dff83c22b3033750e448865a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "fd1da8d197cb385f7917cd296d67afb9", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d9941769b66d012c68f70accc1a3b664", "98728677401560d7c29ba8bec59c6a00", - "2924788891caa175bb0725b57de6cbd2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "915a60e7bb2c38ad5a556098230d6092", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a25de86fd8d389c1c75405aac8049b58", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b1b6903d60501c7bc11e5285beb26a52", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "cf792b94b1f3f321fa0c1d6362d89c90", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "5f1622fde194bd04560b04f13dc47a7c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d935e0ec1d933d0c48fa529be4f998eb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a7855ed75772d7fa815978a202bbcd9f", "cd3e8b96ff6796650e138f5d106d70d4", - "156de3172d9acf3c7f251cd7a18ad461", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4c91f676a054d582bcae1ca9adb87a31", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a984202c527b757337c605443f376915", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "20a390cc7e06a265ecc1e118f776c25a", "ab0da36b88021ed0efd806a1a4cd4fa0", - "fc57a318fbf0c0f29c24edbc84e35ec6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "568055866caf274d67e984307cda2742", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3ff2b19730d6bb8b97f4d72085d2d5b8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a7855ed75772d7fa815978a202bbcd9f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "acc8588292b326f15076dd3a3d260072", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f990a13f7a062665d7f18a40bd5da2ae", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "931df73c3d50c4b2e4ec3502bc8774de", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "bde291a4e8087c085fe8b3632f4d7351", "555eead3b67766f56b0e3714d431506f", - "e545b8a3ff958f8363c7968cbae96732", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "eab5894046a99ad0a1a12c91b0f37bd7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c347f4a58fd784c5e88c1a23e4ff15d2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9272ee0820b09bfdc252a97b2e103862", "be8dd418158226a00d5e01ccc3e4f66b", - "34b37b59ee49108276be28a2e4585c2d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f4deb462014249d4ab02db7f7f62308e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6ae557169928f3be15c7aad8d67205b1", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "bde291a4e8087c085fe8b3632f4d7351", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "14be0f12550c814f75655b4e1e22ddde", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "af4cadb78ee54aacebac76c8ad275375", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c0c4ebfd6dbbddd88114c36e8c9085da", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "238980eebc9e63ae3eea2771c7a70f12", "661c69a7b49984fa1e92cf8485ab28b6", - "7842b2047356c1417d9d88219707f1a1", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "765b4cfbfc1a4988878c412d53bcb597", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "29cbaadbff9adf4a3d49bd9900a9dd0b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "7e3fa9c03bc3dfbdeb67f24c5d9a49cd", "a65e13b534b32fdff3f48d09389daaf1", - "da1a6ff2be03ec8acde4cb1cd519a6f0", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d54206c34785cc3d8a06c2ceac46378c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b1f26ee13df2e14a757416ba8a682278", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "238980eebc9e63ae3eea2771c7a70f12", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "e552466a4e7ff187251b8914b084d404", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aba5d5ef5e96fe418e65d20e506ea834", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "972aeba65e8a6d20dd0f95279be2aa75", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0eac13431bd7d8a573318408a72246d5", "71c57b774e4c3d9b965b060e2a895448", - "1a487c658d684314d91bb6d961a94672", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "bc63b29ec78c1efec5543885a45bb822", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c5997b802a6ba1cf5ba1057ddc5baa7e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f3454ca93cbb0c8c09b0695d90a0df3d", "d259b9c0d0e3322114b2bcce04ae35dd", - "a4ca37cb869a0dbd1c4a2dcc449a8f31", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "85a11892ed884e3e74968435f6b16e64", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "996b6c166f9ed25bd07ea6acdf7597ff", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0eac13431bd7d8a573318408a72246d5", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "981b7c44b6f7b7ac2acf0cc4096e6bf4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d70bf16e2a31e90b7b3cdeaef1494cf9", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "34165457282e2af2e9b3f5840e4dec5d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "73438155feb62595e3e406921102d748", "86d00d2e3dd4a198343f37e3dc4461c9", - "0635a296be01b7e641de98ee27c33cd2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "cecd57396a0033456408f3f3554c6912", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "59f33727e5beeb783a057770bec7b4cd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f3454ca93cbb0c8c09b0695d90a0df3d", "b11f98b5bb864413952d47a67b4add79", - "1b5d1d4c7be8d5ec00a42a49eecf918f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "16434230d24b9522ae2680e8c37e1b95", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "34895d4c69a6c3303693e6f431bcd5d8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "73438155feb62595e3e406921102d748", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a4c75372af36162831cb872e24e1088c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6df80bb7f264f4f285d09a4d61533fae", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b8c5582b9bbb789c45471f93be83b41f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "5871e0e88a776840d619670fbf107858", "57dd2cde826c50e0b0ec504396cb3ceb", - "82dc120bf8c2043bc5eee81007309ebf", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "5b37f94ef136c1eb9a6181c19491459c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0654d72f22306b28d9ae42515845240c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1a77d2af4d2b6cf8737cfbcacacdc4e4", "7123d4aa8083da90ec6986dda0e126ce", - "98b77e88b0784baaea64c98c8707fe46", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "963dea92f3efbb99137d1de9c56728d3", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c9497b00cb1bc3363dd126ffdddadc8e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "5871e0e88a776840d619670fbf107858", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "497271227a70a72f9ad25b415d41563f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c8831118d1004a7cca015a4fca140018", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "257bf5467db570974d7cf2356bacf116", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1c6376ce55c9ee9e35d432edb1ffb3b7", "6fff9189c1d11f183f7c42d4ce5febdb", - "58c826cad3c14cdf26a649265758c58b", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "716ba3a25b454e44b46caa42622c128c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6c9d7d9e6ef81d76e775a85c53abe209", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "89bec831efea2f88129dedcad06bb3fa", "e1ef4ae726d864b36a9b64b1e43ede7e", - "8148788044522edc3c497e1017efe2ce", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b72fb6a9a073c2fe65013af1842dc9b0", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1e461869bb2ee9b6069c5e52cf817291", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1c6376ce55c9ee9e35d432edb1ffb3b7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c48bd7e11ec44ba7b2bc8b6a04592439", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b7f82c140369067c105c7967c75b6f9e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "5255dded79f56b0078543b5a1814a668", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d675e0195c9feca956e637f3f1959f40", "670fa8c31c82fced9a810b64c03e87ee", - "f166254037c0dfb140f54cd7b08bddfe", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9076f58c4ab20f2f06d701a6b53b1c4f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a35f435ccc67717a49251a07e62ae204", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "89bec831efea2f88129dedcad06bb3fa", "7c3a79a90f3f4b460540e796f3197ef1", - "acf60abeda98bbea161139b915317423", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "86fa0c299737eb499cbcdce94abe2d33", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "8d7f1d7ea6a0dcc922ad5d2e77bc74dd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d675e0195c9feca956e637f3f1959f40", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0960a9af91250e9faa1eaac32227bf6f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "130f47aae365aabfec4360fa5b5ff554", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ef745100f5f34c8ff841b2b0b57eb33f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b5681673903ade13d69e295f82fdd009", "9ccd4cc6216eab35ddcb66a76b55dd2f", - "74ab206f14ac5f62653cd3dd71a7916d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d3212ab3922f147c3cf126c3b1aa17f6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c5325015cb0b7c42839ac4aa21803fa0", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "dead0fe4030085c22e92d16bb110de9d", "3c6d97f25d6bc647c843850be007f512", - "262c96b1f2c4f85c86c0e9c77fedff1e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6b80af04470b83673d98f46925e678a5", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "138855d9bf0ccd0c62ac14c7bff4fd37", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b5681673903ade13d69e295f82fdd009", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "746c2e0f96ae2246d534d67102be068c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "92483ed631de21b685ffe6ccadbbec8f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "edae8ed67286ca6a31573a541b3deb6f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3c43020105ae93a301404b4cd6238654", "cef7cfdcb8ca8d2612f31a1fe95ce371", - "5621caef7cc1d6522903290ccc5c2cb8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "b55fea77f0e14a8bf8b6562b766fe91f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f81f31f1585c0f70438c09e829416f20", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "306a2f5dfd675df4ed9af44fd5cac8c0", "1dfda318021a05a7e72fd815ddb0dfc8", - "f35a3d13516440f9168076d9b07c9e98", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "65baca6167fe5249f7a839ce5b2fd591", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "64035142864914d05a48ef8e013631d0", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3c43020105ae93a301404b4cd6238654", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d6f6db079da9b8909a153c07cc9d0e63", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "cbb6ab31547df6b91cfb48630fdffb48", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "01adcd8bf15fbf70df47fbf3a953aa14", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "dd2c5880a94ed3758bfea0b0e8c78286", "5f6c1725f4c7c73a8d8f0d9468106624", - "78ec6cf42cce4b1feb65e076c78ca241", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "59b578268ff26a1e21c5b4273f73f852", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ab10b22fb8dd8199040745565b28595d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "306a2f5dfd675df4ed9af44fd5cac8c0", "9209f83153ef6f09b5262536a2dc1671", - "13782526fc2726100cb3cf375b3150ed", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "e47ded6c0eec1d5baadd02aff172f2b1", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "205904fa3c644433b46e01c11dd2fe40", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "dd2c5880a94ed3758bfea0b0e8c78286", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "7c8928a0d769f4264d195f39cb68a772", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1eea5e8a24d6aa11778eb3e5e5e9c9f2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ba539808a8501609ce052a1562a62b25", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4ebb1a7b25a39d8b9868ec8a1243103f", "c2732a08997e1f5176dfb297d2e89235", - "42188e2dbb4e02cd353552ea147ad03f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "16761e7c8ba2645718153bed83ae78f6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0d928d6111f86c60ccefc6c6604d5659", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9d01c946a12f5ef9d9cebd9816e06014", "d738eb9f3f4f0b412b93687b55b6e45a", - "13c07441b47b0c1ed80f015ac302d220", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c0950e609f278efb7050d319a9756bb3", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "291425aaf8206b20e88db8ebf3cf7e7f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4ebb1a7b25a39d8b9868ec8a1243103f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "db645c96fc8be04015e0eb538afec9ae", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9e193b6b28ce798c44c744efde19eee9", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ac8e6391200cec2abdebb00744a2ba82", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d34ec07845cd8523651e5f5112984a14", "745c794b557d4a0d734e45d720a7f7ad", - "f9813870fc27941a7c00a0443d7c2fe7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a9e9805769fe1baf5c7933793ccca0d8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4ed1a6200912995d4f571bdb7822aa83", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "768f63912e43148c13688d7f23281531", "43fb786fd2e79610d6a6d912b95f4509", - "02880fde51ac991ad18d8986f4e5145c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9051290279237f9fb1389989b142d2dd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "cb6238b8eb6b72980958e6fcceb2f2eb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d34ec07845cd8523651e5f5112984a14", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "946af3a8f5362def5f4e27cb0fd4e754", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "885c384d90aaa34acd8303958033c252", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "54b17120f7d71ddb4d70590ecd231cc1", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2ce55308d873f4cd244f16da2b06e06e", "af7b76d3471cfbdc97d1e57bc2876ce7", - "20b14a6b5af7aa356963bcaaf23d230d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "553a2c24939dff18ec5833c77f556cfb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "92e31a45513582f386dc9c22a57bbbbd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "768f63912e43148c13688d7f23281531", "4e255554dab9dfa1064e20a905538308", - "aa25073115bad49432953254e7dce0bc", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "34cdc1be291c95981c98812c5c343a15", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "626321a6dfac542d0fc70321fac13ff3", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2ce55308d873f4cd244f16da2b06e06e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "7ad78dfe7bbedf696dd58d9ad01bcfba", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "8110ed10e7234851dff3c7e4a51108a2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f6e36446a97611a4db4425df926974b2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a4bb5d5ff4b25f391265b5231049a09a", "cf4867c6b1b8be86a7e0bee708c28d83", - "9c9c41435697f75fa118b6d6464ee7cb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "5c1ec75a160c444fa90abf106fa1140e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6dbf310a9c8d85f76306d6a35545f8af", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2e7927158e7b8e40e7269fc909fb584b", "8b72feff8bb0901229a2bd7da2857c4b", - "69e3361b7199e10e75685b90fb0df623", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "5b64a6911cb7c3d60bb8f961ed9782a2", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "1c6fda7501e0f8bdad972f7857cd9354", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a4bb5d5ff4b25f391265b5231049a09a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "f0fd9c09d454e4ce918faa97e9ac10be", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "6fb9383302eb7e7a13387464d2634e03", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "a82f4080699300b659bbe1b5c4463147", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c9106e0c820b03bcdde3aa94efc11a3e", "0408e10e51a31ac756a57d5149a2b409", - "38816245ed832ba313fefafcbed1e5c8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2266840f11ac4c066d941ec473b1a54f", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "80fce29dc82d5857c1ed5ef2aea16835", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "123028e18c2bfb334e34adb5a4f67de4", "1670eb8ed876e609ed81236a683b4a3d", - "2f8ab35f6e7030e82ca922a68b29af4a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "7133de9d03a4b07716a12226b5e493e8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4fd485dadcb570e5a0a5addaf9ba84da", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c9106e0c820b03bcdde3aa94efc11a3e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "af6ae5c0eb28417bd251184baf2eaba7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "864d51fcc737bc73a3f588b67515039a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "ecedb178f7cad3dc1b921eca67f9efb6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "7ec2eae9e118506da8b33440b399511a", "108a4a6530a6b9c933ccf14edbd896be", - "5d34137cc8ddba75347b0fa1d0a91791", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "9e194755b2a37b615a517d5f8746dfbb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "14f2c5b9d2cd621c178a39f1ec0c38eb", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "123028e18c2bfb334e34adb5a4f67de4", "2fdc713ba418780d0be33a3ebbcb323c", - "452f91b01833c57db4e909575a029ff6", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "3594eff52d5ed875bd9655ddbf106fae", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d3f140aea9e8eabf4e1e5190e0148288", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "7ec2eae9e118506da8b33440b399511a", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "866f8df540dd3b58ab1339314d139cbd", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2ecb7890f00234bcb28c1d969f489012", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "0609ca0ff3ca90069e8b48829b4b0891", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "78de867c8ee947ed6d29055747f26949", "0a7cb4f51f1acf0940b59295b2327465", - "465dcb046a0449b9dfb3e0b297aa3863", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "bbf86f8174334f0b8d869fd8d58bf92d", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "da54cfb4530841bda29966cfa05f4879", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "2c979c2bddef79a760e72a802f83cc76", "545426be3436073ba63790aa3c4a5598", - "1fabf0655bedb671e4d7287fec8119ba", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "90d7e13aa2f9a064493ff2b3b5b12109", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "e4938219593bbed5ae638a93f2f4a580", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "78de867c8ee947ed6d29055747f26949", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "72803589b453a29501540aeddc23e6f4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "c4793d431dbf2d88826bb440bf027512", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "839e86c681e97359f7819c766000dd1c", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d05a237ed7a9ca877256b71555b1b8e4", "3052776d186fca6dd8011f4fe908a212", - "94b3e5bcd6b849b66a4571ec3d23f9be", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "91d6bdbc62d4bb80c9b371d9704e3c9e", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "4f750f6375524311d260306deb233861", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d05a237ed7a9ca877256b71555b1b8e4", "03ce2d07cac044d6b68604d398571844", - "68ece92dcbe70a2ae9776d72972740a7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "380d296d0d55a49dd86ee562b053a9d8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "d05a237ed7a9ca877256b71555b1b8e4", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "03ce2d07cac044d6b68604d398571844", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "68ece92dcbe70a2ae9776d72972740a7", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "380d296d0d55a49dd86ee562b053a9d8", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", - "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa", +const char* GetConvolveDigest10bpp(int id) { + // Entries containing 'XXXXX...' are skipped. See the test for details. + static const char* const kDigest[ConvolveTestParam::kNumBlockSizes * 16] = { + "b1b6903d60501c7bc11e5285beb26a52", "a7855ed75772d7fa815978a202bbcd9f", + "bde291a4e8087c085fe8b3632f4d7351", "238980eebc9e63ae3eea2771c7a70f12", + "0eac13431bd7d8a573318408a72246d5", "d05a237ed7a9ca877256b71555b1b8e4", + "73438155feb62595e3e406921102d748", "5871e0e88a776840d619670fbf107858", + "1c6376ce55c9ee9e35d432edb1ffb3b7", "d675e0195c9feca956e637f3f1959f40", + "b5681673903ade13d69e295f82fdd009", "3c43020105ae93a301404b4cd6238654", + "dd2c5880a94ed3758bfea0b0e8c78286", "4ebb1a7b25a39d8b9868ec8a1243103f", + "d34ec07845cd8523651e5f5112984a14", "2ce55308d873f4cd244f16da2b06e06e", + "a4bb5d5ff4b25f391265b5231049a09a", "c9106e0c820b03bcdde3aa94efc11a3e", + "7ec2eae9e118506da8b33440b399511a", "78de867c8ee947ed6d29055747f26949", + "a693b4bd0334a3b98d45e67d3985bb63", "156de3172d9acf3c7f251cd7a18ad461", + "e545b8a3ff958f8363c7968cbae96732", "7842b2047356c1417d9d88219707f1a1", + "1a487c658d684314d91bb6d961a94672", "94b3e5bcd6b849b66a4571ec3d23f9be", + "0635a296be01b7e641de98ee27c33cd2", "82dc120bf8c2043bc5eee81007309ebf", + "58c826cad3c14cdf26a649265758c58b", "f166254037c0dfb140f54cd7b08bddfe", + "74ab206f14ac5f62653cd3dd71a7916d", "5621caef7cc1d6522903290ccc5c2cb8", + "78ec6cf42cce4b1feb65e076c78ca241", "42188e2dbb4e02cd353552ea147ad03f", + "f9813870fc27941a7c00a0443d7c2fe7", "20b14a6b5af7aa356963bcaaf23d230d", + "9c9c41435697f75fa118b6d6464ee7cb", "38816245ed832ba313fefafcbed1e5c8", + "5d34137cc8ddba75347b0fa1d0a91791", "465dcb046a0449b9dfb3e0b297aa3863", + "3e787534dff83c22b3033750e448865a", "4c91f676a054d582bcae1ca9adb87a31", + "eab5894046a99ad0a1a12c91b0f37bd7", "765b4cfbfc1a4988878c412d53bcb597", + "bc63b29ec78c1efec5543885a45bb822", "91d6bdbc62d4bb80c9b371d9704e3c9e", + "cecd57396a0033456408f3f3554c6912", "5b37f94ef136c1eb9a6181c19491459c", + "716ba3a25b454e44b46caa42622c128c", "9076f58c4ab20f2f06d701a6b53b1c4f", + "d3212ab3922f147c3cf126c3b1aa17f6", "b55fea77f0e14a8bf8b6562b766fe91f", + "59b578268ff26a1e21c5b4273f73f852", "16761e7c8ba2645718153bed83ae78f6", + "a9e9805769fe1baf5c7933793ccca0d8", "553a2c24939dff18ec5833c77f556cfb", + "5c1ec75a160c444fa90abf106fa1140e", "2266840f11ac4c066d941ec473b1a54f", + "9e194755b2a37b615a517d5f8746dfbb", "bbf86f8174334f0b8d869fd8d58bf92d", + "fd1da8d197cb385f7917cd296d67afb9", "a984202c527b757337c605443f376915", + "c347f4a58fd784c5e88c1a23e4ff15d2", "29cbaadbff9adf4a3d49bd9900a9dd0b", + "c5997b802a6ba1cf5ba1057ddc5baa7e", "4f750f6375524311d260306deb233861", + "59f33727e5beeb783a057770bec7b4cd", "0654d72f22306b28d9ae42515845240c", + "6c9d7d9e6ef81d76e775a85c53abe209", "a35f435ccc67717a49251a07e62ae204", + "c5325015cb0b7c42839ac4aa21803fa0", "f81f31f1585c0f70438c09e829416f20", + "ab10b22fb8dd8199040745565b28595d", "0d928d6111f86c60ccefc6c6604d5659", + "4ed1a6200912995d4f571bdb7822aa83", "92e31a45513582f386dc9c22a57bbbbd", + "6dbf310a9c8d85f76306d6a35545f8af", "80fce29dc82d5857c1ed5ef2aea16835", + "14f2c5b9d2cd621c178a39f1ec0c38eb", "da54cfb4530841bda29966cfa05f4879", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "7e3fa9c03bc3dfbdeb67f24c5d9a49cd", + "f3454ca93cbb0c8c09b0695d90a0df3d", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "f3454ca93cbb0c8c09b0695d90a0df3d", "1a77d2af4d2b6cf8737cfbcacacdc4e4", + "89bec831efea2f88129dedcad06bb3fa", "89bec831efea2f88129dedcad06bb3fa", + "dead0fe4030085c22e92d16bb110de9d", "306a2f5dfd675df4ed9af44fd5cac8c0", + "306a2f5dfd675df4ed9af44fd5cac8c0", "9d01c946a12f5ef9d9cebd9816e06014", + "768f63912e43148c13688d7f23281531", "768f63912e43148c13688d7f23281531", + "2e7927158e7b8e40e7269fc909fb584b", "123028e18c2bfb334e34adb5a4f67de4", + "123028e18c2bfb334e34adb5a4f67de4", "2c979c2bddef79a760e72a802f83cc76", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "da1a6ff2be03ec8acde4cb1cd519a6f0", + "a4ca37cb869a0dbd1c4a2dcc449a8f31", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "1b5d1d4c7be8d5ec00a42a49eecf918f", "98b77e88b0784baaea64c98c8707fe46", + "8148788044522edc3c497e1017efe2ce", "acf60abeda98bbea161139b915317423", + "262c96b1f2c4f85c86c0e9c77fedff1e", "f35a3d13516440f9168076d9b07c9e98", + "13782526fc2726100cb3cf375b3150ed", "13c07441b47b0c1ed80f015ac302d220", + "02880fde51ac991ad18d8986f4e5145c", "aa25073115bad49432953254e7dce0bc", + "69e3361b7199e10e75685b90fb0df623", "2f8ab35f6e7030e82ca922a68b29af4a", + "452f91b01833c57db4e909575a029ff6", "1fabf0655bedb671e4d7287fec8119ba", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "d54206c34785cc3d8a06c2ceac46378c", + "85a11892ed884e3e74968435f6b16e64", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "16434230d24b9522ae2680e8c37e1b95", "963dea92f3efbb99137d1de9c56728d3", + "b72fb6a9a073c2fe65013af1842dc9b0", "86fa0c299737eb499cbcdce94abe2d33", + "6b80af04470b83673d98f46925e678a5", "65baca6167fe5249f7a839ce5b2fd591", + "e47ded6c0eec1d5baadd02aff172f2b1", "c0950e609f278efb7050d319a9756bb3", + "9051290279237f9fb1389989b142d2dd", "34cdc1be291c95981c98812c5c343a15", + "5b64a6911cb7c3d60bb8f961ed9782a2", "7133de9d03a4b07716a12226b5e493e8", + "3594eff52d5ed875bd9655ddbf106fae", "90d7e13aa2f9a064493ff2b3b5b12109", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "b1f26ee13df2e14a757416ba8a682278", + "996b6c166f9ed25bd07ea6acdf7597ff", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "34895d4c69a6c3303693e6f431bcd5d8", "c9497b00cb1bc3363dd126ffdddadc8e", + "1e461869bb2ee9b6069c5e52cf817291", "8d7f1d7ea6a0dcc922ad5d2e77bc74dd", + "138855d9bf0ccd0c62ac14c7bff4fd37", "64035142864914d05a48ef8e013631d0", + "205904fa3c644433b46e01c11dd2fe40", "291425aaf8206b20e88db8ebf3cf7e7f", + "cb6238b8eb6b72980958e6fcceb2f2eb", "626321a6dfac542d0fc70321fac13ff3", + "1c6fda7501e0f8bdad972f7857cd9354", "4fd485dadcb570e5a0a5addaf9ba84da", + "d3f140aea9e8eabf4e1e5190e0148288", "e4938219593bbed5ae638a93f2f4a580", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "238980eebc9e63ae3eea2771c7a70f12", + "0eac13431bd7d8a573318408a72246d5", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "73438155feb62595e3e406921102d748", "5871e0e88a776840d619670fbf107858", + "1c6376ce55c9ee9e35d432edb1ffb3b7", "d675e0195c9feca956e637f3f1959f40", + "b5681673903ade13d69e295f82fdd009", "3c43020105ae93a301404b4cd6238654", + "dd2c5880a94ed3758bfea0b0e8c78286", "4ebb1a7b25a39d8b9868ec8a1243103f", + "d34ec07845cd8523651e5f5112984a14", "2ce55308d873f4cd244f16da2b06e06e", + "a4bb5d5ff4b25f391265b5231049a09a", "c9106e0c820b03bcdde3aa94efc11a3e", + "7ec2eae9e118506da8b33440b399511a", "78de867c8ee947ed6d29055747f26949", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "e552466a4e7ff187251b8914b084d404", + "981b7c44b6f7b7ac2acf0cc4096e6bf4", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "a4c75372af36162831cb872e24e1088c", "497271227a70a72f9ad25b415d41563f", + "c48bd7e11ec44ba7b2bc8b6a04592439", "0960a9af91250e9faa1eaac32227bf6f", + "746c2e0f96ae2246d534d67102be068c", "d6f6db079da9b8909a153c07cc9d0e63", + "7c8928a0d769f4264d195f39cb68a772", "db645c96fc8be04015e0eb538afec9ae", + "946af3a8f5362def5f4e27cb0fd4e754", "7ad78dfe7bbedf696dd58d9ad01bcfba", + "f0fd9c09d454e4ce918faa97e9ac10be", "af6ae5c0eb28417bd251184baf2eaba7", + "866f8df540dd3b58ab1339314d139cbd", "72803589b453a29501540aeddc23e6f4", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "aba5d5ef5e96fe418e65d20e506ea834", + "d70bf16e2a31e90b7b3cdeaef1494cf9", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "6df80bb7f264f4f285d09a4d61533fae", "c8831118d1004a7cca015a4fca140018", + "b7f82c140369067c105c7967c75b6f9e", "130f47aae365aabfec4360fa5b5ff554", + "92483ed631de21b685ffe6ccadbbec8f", "cbb6ab31547df6b91cfb48630fdffb48", + "1eea5e8a24d6aa11778eb3e5e5e9c9f2", "9e193b6b28ce798c44c744efde19eee9", + "885c384d90aaa34acd8303958033c252", "8110ed10e7234851dff3c7e4a51108a2", + "6fb9383302eb7e7a13387464d2634e03", "864d51fcc737bc73a3f588b67515039a", + "2ecb7890f00234bcb28c1d969f489012", "c4793d431dbf2d88826bb440bf027512", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "972aeba65e8a6d20dd0f95279be2aa75", + "34165457282e2af2e9b3f5840e4dec5d", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "b8c5582b9bbb789c45471f93be83b41f", "257bf5467db570974d7cf2356bacf116", + "5255dded79f56b0078543b5a1814a668", "ef745100f5f34c8ff841b2b0b57eb33f", + "edae8ed67286ca6a31573a541b3deb6f", "01adcd8bf15fbf70df47fbf3a953aa14", + "ba539808a8501609ce052a1562a62b25", "ac8e6391200cec2abdebb00744a2ba82", + "54b17120f7d71ddb4d70590ecd231cc1", "f6e36446a97611a4db4425df926974b2", + "a82f4080699300b659bbe1b5c4463147", "ecedb178f7cad3dc1b921eca67f9efb6", + "0609ca0ff3ca90069e8b48829b4b0891", "839e86c681e97359f7819c766000dd1c", }; + assert(id >= 0); + assert(id < sizeof(kDigest) / sizeof(kDigest[0])); return kDigest[id]; } -#endif -struct ConvolveTestParam { - ConvolveTestParam(int width, int height) : width(width), height(height) {} - int width; - int height; -}; +const char* GetConvolveScaleDigest10bpp(int id) { + // Entries containing 'XXXXX...' are skipped. See the test for details. + static const char* const kDigest[ConvolveTestParam::kNumBlockSizes * 2] = { + "27e21eb31687f9fbd0a66865fa8d7c8a", "9bff726c8e1d0998451a3b9cf2b3d8c8", + "661d74cfef36f12ed8d9b4c3ccb7fe0d", "5fc365fd1fcc9599dd97a885ba0c2eec", + "acdba2c82a6268e3c0ae8fc32be1b41f", "a5db60bbeaf56ab030ed21c42d553cf3", + "1228bb633f9fd63fdb998b775ca79e98", "07812c97f9f43a2a8ae07329dc488699", + "903525fb782119c4dfaf61b98a310c9f", "f38b51cef38b929e317861ccbc73ecd8", + "b78b05138e1d5fbf089144c42ce03058", "f2e227664cbf2d821b242a34fcbc9835", + "cb992dac70591e7d3663588ae13b9adc", "f2292d33657d939fa85ea5bacdfe39a3", + "7049dc742d6d8ad6f5d4309968ff281c", "e4beebde1ac335a4d92e4af94653a2ce", + "cc77875f98f54b9b26b5f7d9fcbc828d", "fb623f7b9e1ffcf2ae361599728a5589", + "c33847e47a7eda214734084640818df9", "ab3e1aec3d720c0c89c46a8d5b161b44", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", "efe4de861dcf0f7458b6208cae7e3584", + "814751c55fa84f0fed94ff15fc30fc24", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX", + "31a63fe47297102937acbe7a328588b7", "b804a0a24633243f7da48d7a5f51c0bf", + "cb492672b005fc378cccc8c03003cd4a", "1d18732bcf2ea487e84579489cc59a22", + "457c4b3ec38a8d6c210584ade1a9fae2", "a3afdd468e6a5238a3dbd2cc21c11c9e", + "6ff8a16f21d6e8a9741dacf0734ae563", "3ffa29ef7e54e51f6849c9a3d3c79d03", + "af89899b083cf269ac1bd988aeb15b15", "3365d8411c11081fb228436238b9a671", + "3ba56d30f5f81d7098f356635a58b9af", "b3013776900c6520bd30f868e8c963b6", + "81febaa7342692483040f500ba2e5e2b", "4a51ff1d9a4a68687d590b41aa7835a3", + }; + assert(id >= 0); + assert(id < sizeof(kDigest) / sizeof(kDigest[0])); + return kDigest[id]; +} +#endif // LIBGAV1_MAX_BITDEPTH >= 10 struct ConvolveTypeParam { ConvolveTypeParam(bool is_intra_block_copy, bool is_compound, @@ -743,12 +442,10 @@ std::ostream& operator<<(std::ostream& os, const ConvolveTypeParam& param) { << param.has_vertical_filter << "/" << param.has_horizontal_filter; } -// TODO(b/146062680): split this to ConvolveTest and ConvolveScaleTest to -// simplify the members and test logic. +//------------------------------------------------------------------------------ template <int bitdepth, typename Pixel> -class ConvolveTest - : public testing::TestWithParam< - std::tuple<ConvolveTestParam, ConvolveTypeParam, bool>> { +class ConvolveTest : public testing::TestWithParam< + std::tuple<ConvolveTypeParam, ConvolveTestParam>> { public: ConvolveTest() = default; ~ConvolveTest() override = default; @@ -758,14 +455,13 @@ class ConvolveTest const Dsp* const dsp = GetDspTable(bitdepth); ASSERT_NE(dsp, nullptr); - GetConvolveFuncs(dsp, &base_convolve_func_, &base_convolve_scale_func_); + GetConvolveFunc(dsp, &base_convolve_func_); const testing::TestInfo* const test_info = testing::UnitTest::GetInstance()->current_test_info(); const absl::string_view test_case = test_info->test_suite_name(); if (absl::StartsWith(test_case, "C/")) { base_convolve_func_ = nullptr; - base_convolve_scale_func_ = nullptr; } else if (absl::StartsWith(test_case, "SSE41/")) { if ((GetCpuInfo() & kSSE4_1) != 0) { ConvolveInit_SSE4_1(); @@ -776,59 +472,37 @@ class ConvolveTest } } else if (absl::StartsWith(test_case, "NEON/")) { ConvolveInit_NEON(); +#if LIBGAV1_MAX_BITDEPTH >= 10 + ConvolveInit10bpp_NEON(); +#endif } else { FAIL() << "Unrecognized architecture prefix in test case name: " << test_case; } - GetConvolveFuncs(dsp, &cur_convolve_func_, &cur_convolve_scale_func_); + GetConvolveFunc(dsp, &cur_convolve_func_); // Skip functions that have not been specialized for this particular // architecture. if (cur_convolve_func_ == base_convolve_func_) { cur_convolve_func_ = nullptr; } - if (cur_convolve_scale_func_ == base_convolve_scale_func_) { - cur_convolve_scale_func_ = nullptr; - } } protected: int GetDigestId() const { - // id is the combination of the 3-dimension array: - // (param_, type_param_, is_scaled_convolve_) - // The number of each array is 20, 16, 2. - // The range of id is from 0 to 20x16x2 - 1. - // is_scaled_convolve_: false, id += 0; true, id += 1; - // type_param_: (0, 0, 0, 0), id += 0 * 2. - // (0, 0, 0, 1), id += 1 * 2; (0, 0, 1, 0), id += 2 * 2; - // ... - // param_: (2, 2), id += 0 * 32; (2, 4), id += 1 * 32; - // (4, 2), id += 2 * 32; (4, 4), id += 3 * 32; - // ... - int id = static_cast<int>(is_scaled_convolve_); - id += 2 * static_cast<int>(type_param_.has_horizontal_filter); - id += 2 * 2 * static_cast<int>(type_param_.has_vertical_filter); - id += 2 * 4 * static_cast<int>(type_param_.is_compound); - id += 2 * 8 * static_cast<int>(type_param_.is_intra_block_copy); - if (param_.width == param_.height) { - id += 32 * 3 * static_cast<int>(std::log2(param_.width) - 1); - } else if (param_.width < param_.height) { - id += 32 * (1 + 3 * static_cast<int>(std::log2(param_.width) - 1)); - } else { - // param_.width > param_.height - if (param_.width == 8 && param_.height == 2) { - // Special case is at the end of the array. - id += 32 * 19; - } else { - id += 32 * (2 + 3 * static_cast<int>(std::log2(param_.height) - 1)); - } - } + int id = param_.block_size; + id += param_.kNumBlockSizes * + static_cast<int>(type_param_.has_horizontal_filter); + id += 2 * param_.kNumBlockSizes * + static_cast<int>(type_param_.has_vertical_filter); + id += 4 * param_.kNumBlockSizes * static_cast<int>(type_param_.is_compound); + id += 8 * param_.kNumBlockSizes * + static_cast<int>(type_param_.is_intra_block_copy); return id; } - void GetConvolveFuncs(const Dsp* dsp, ConvolveFunc* func, - ConvolveScaleFunc* scale_func); + void GetConvolveFunc(const Dsp* dsp, ConvolveFunc* func); void SetInputData(bool use_fixed_values, int value); void Check(bool use_fixed_values, const Pixel* src, const Pixel* dest, libvpx_test::MD5* md5_digest); @@ -839,44 +513,30 @@ class ConvolveTest void Test(bool use_fixed_values, int value, int num_runs = kMinimumViableRuns); - const ConvolveTestParam param_ = std::get<0>(GetParam()); - const ConvolveTypeParam type_param_ = std::get<1>(GetParam()); - const bool is_scaled_convolve_ = std::get<2>(GetParam()); + const ConvolveTypeParam type_param_ = std::get<0>(GetParam()); + const ConvolveTestParam param_ = std::get<1>(GetParam()); private: ConvolveFunc base_convolve_func_; ConvolveFunc cur_convolve_func_; - ConvolveScaleFunc base_convolve_scale_func_; - ConvolveScaleFunc cur_convolve_scale_func_; - // Convolve filters are 7-tap, which needs 3 pixels (kRestorationBoder) - // padding. - // When is_scaled_convolve_ is true, the source can be at most 2 times of - // max width/height. So we allocate a larger memory for it and setup the - // extra memory when is_scaled_convolve_ is true. - Pixel source_[kMaxBlockHeight * kMaxBlockWidth * 4] = {}; - uint16_t source_16bit_[kMaxBlockHeight * kMaxBlockWidth * 4] = {}; + // Convolve filters are 7-tap, which need 3 pixels + // (kRestorationHorizontalBorder) padding. + Pixel source_[kMaxBlockHeight * kMaxBlockWidth] = {}; + uint16_t source_16bit_[kMaxBlockHeight * kMaxBlockWidth] = {}; uint16_t dest_16bit_[kMaxBlockHeight * kMaxBlockWidth] = {}; Pixel dest_clipped_[kMaxBlockHeight * kMaxBlockWidth] = {}; - const int source_stride_ = - is_scaled_convolve_ ? kMaxBlockWidth * 2 : kMaxBlockWidth; - const int source_height_ = - is_scaled_convolve_ ? kMaxBlockHeight * 2 : kMaxBlockHeight; + const int source_stride_ = kMaxBlockWidth; + const int source_height_ = kMaxBlockHeight; }; template <int bitdepth, typename Pixel> -void ConvolveTest<bitdepth, Pixel>::GetConvolveFuncs( - const Dsp* const dsp, ConvolveFunc* func, ConvolveScaleFunc* scale_func) { - if (is_scaled_convolve_) { - *func = nullptr; - *scale_func = dsp->convolve_scale[type_param_.is_compound]; - } else { - *scale_func = nullptr; - *func = - dsp->convolve[type_param_.is_intra_block_copy][type_param_.is_compound] - [type_param_.has_vertical_filter] - [type_param_.has_horizontal_filter]; - } +void ConvolveTest<bitdepth, Pixel>::GetConvolveFunc(const Dsp* const dsp, + ConvolveFunc* func) { + *func = + dsp->convolve[type_param_.is_intra_block_copy][type_param_.is_compound] + [type_param_.has_vertical_filter] + [type_param_.has_horizontal_filter]; } template <int bitdepth, typename Pixel> @@ -889,8 +549,8 @@ void ConvolveTest<bitdepth, Pixel>::SetInputData(bool use_fixed_values, kConvolveBorderLeftTop * source_stride_ + kConvolveBorderLeftTop; const int mask = (1 << bitdepth) - 1; libvpx_test::ACMRandom rnd(libvpx_test::ACMRandom::DeterministicSeed()); - const int height = is_scaled_convolve_ ? param_.height * 2 : param_.height; - const int width = is_scaled_convolve_ ? param_.width * 2 : param_.width; + const int height = param_.height; + const int width = param_.width; for (int y = 0; y < height; ++y) { for (int x = 0; x < width; ++x) { source_[y * source_stride_ + x + offset] = rnd.Rand16() & mask; @@ -956,18 +616,10 @@ void ConvolveTest<bitdepth, Pixel>::Check16Bit(bool use_fixed_values, } template <int bitdepth, typename Pixel> -void ConvolveTest<bitdepth, Pixel>::Test(bool use_fixed_values, int value, - int num_runs /*= 16 * 6*/) { +void ConvolveTest<bitdepth, Pixel>::Test( + bool use_fixed_values, int value, int num_runs /*= kMinimumViableRuns*/) { // There's no meaning testing fixed input in compound convolve. - if (type_param_.is_compound && use_fixed_values) GTEST_SKIP(); - - // Scaled convolve does not behave differently under most params. Only need to - // test the enabled compound implementation. - if (is_scaled_convolve_ && - (type_param_.is_intra_block_copy || type_param_.has_vertical_filter || - type_param_.has_horizontal_filter)) { - GTEST_SKIP(); - } + if (type_param_.is_compound && use_fixed_values) return; // There should not be any function set for this combination. if (type_param_.is_intra_block_copy && type_param_.is_compound) { @@ -984,26 +636,18 @@ void ConvolveTest<bitdepth, Pixel>::Test(bool use_fixed_values, int value, } // Skip unspecialized functions. - if (cur_convolve_func_ == nullptr && cur_convolve_scale_func_ == nullptr) { + if (cur_convolve_func_ == nullptr) { GTEST_SKIP(); } SetInputData(use_fixed_values, value); - libvpx_test::ACMRandom rnd(libvpx_test::ACMRandom::DeterministicSeed() + - GetDigestId()); - // [1,2048] for |step_[xy]|. This covers a scaling range of 1/1024 to 2x. - const int step_x = (rnd.Rand16() & ((1 << 11) - 1)) + 1; - const int step_y = (rnd.Rand16() & ((1 << 11) - 1)) + 1; int subpixel_x = 0; int subpixel_y = 0; int vertical_index = 0; int horizontal_index = 0; const int offset = kConvolveBorderLeftTop * kMaxBlockWidth + kConvolveBorderLeftTop; - const int offset_scale = - kConvolveBorderLeftTop * source_stride_ + kConvolveBorderLeftTop; const Pixel* const src = source_ + offset; - const Pixel* const src_scale = source_ + offset_scale; const ptrdiff_t src_stride = source_stride_ * sizeof(Pixel); const ptrdiff_t src_stride_16 = source_stride_; const ptrdiff_t dst_stride = kMaxBlockWidth * sizeof(Pixel); @@ -1041,22 +685,7 @@ void ConvolveTest<bitdepth, Pixel>::Test(bool use_fixed_values, int value, horizontal_index += static_cast<int>(i % 16 == 0); horizontal_index %= 4; - if (is_scaled_convolve_) { - ASSERT_EQ(cur_convolve_func_, nullptr); - // Output type is uint16_t. - const absl::Time start = absl::Now(); - if (type_param_.is_compound) { - cur_convolve_scale_func_( - source_, src_stride, horizontal_index, vertical_index, 0, 0, step_x, - step_y, param_.width, param_.height, dst_16, dst_stride_compound); - } else { - cur_convolve_scale_func_( - source_, src_stride, horizontal_index, vertical_index, 0, 0, step_x, - step_y, param_.width, param_.height, dst_pixel, dst_stride); - } - elapsed_time += absl::Now() - start; - } else if (type_param_.is_compound) { - ASSERT_EQ(cur_convolve_scale_func_, nullptr); + if (type_param_.is_compound) { // Output type is uint16_t. const absl::Time start = absl::Now(); cur_convolve_func_(src, src_stride, horizontal_index, vertical_index, @@ -1064,7 +693,6 @@ void ConvolveTest<bitdepth, Pixel>::Test(bool use_fixed_values, int value, param_.height, dst_16, dst_stride_compound); elapsed_time += absl::Now() - start; } else { - ASSERT_EQ(cur_convolve_scale_func_, nullptr); // Output type is Pixel. const absl::Time start = absl::Now(); cur_convolve_func_(src, src_stride, horizontal_index, vertical_index, @@ -1077,30 +705,7 @@ void ConvolveTest<bitdepth, Pixel>::Test(bool use_fixed_values, int value, // runs for speed timing. if (i >= kMinimumViableRuns) continue; - if (is_scaled_convolve_) { - // Convolve function does not clip the output. The clipping is applied - // later. But libaom clips the output. So we apply clipping to match - // libaom in tests. - if (type_param_.is_compound) { - const int single_round_offset = (1 << bitdepth) + (1 << (bitdepth - 1)); - Pixel* dest_row = dest_clipped_; - for (int y = 0; y < kMaxBlockHeight; ++y) { - for (int x = 0; x < kMaxBlockWidth; ++x) { - dest_row[x] = static_cast<Pixel>(Clip3( - dest_16bit_[y * dst_stride_compound + x] - single_round_offset, - 0, (1 << bitdepth) - 1)); - } - dest_row += kMaxBlockWidth; - } - } - - if (type_param_.is_compound) { - Check16Bit(use_fixed_values, source_16bit_ + offset_scale, dst_16, - &md5_digest); - } else { - Check(use_fixed_values, src_scale, dst_pixel, &md5_digest); - } - } else if (type_param_.is_compound) { + if (type_param_.is_compound) { // Need to copy source to a uint16_t buffer for comparison. Pixel* src_ptr = source_; uint16_t* src_ptr_16 = source_16bit_; @@ -1122,15 +727,14 @@ void ConvolveTest<bitdepth, Pixel>::Test(bool use_fixed_values, int value, // md5 sums are only calculated for random input. const char* ref_digest; if (bitdepth == 8) { - ref_digest = GetDigest8bpp(GetDigestId()); + ref_digest = GetConvolveDigest8bpp(GetDigestId()); } else { #if LIBGAV1_MAX_BITDEPTH >= 10 - ref_digest = GetDigest10bpp(GetDigestId()); + ref_digest = GetConvolveDigest10bpp(GetDigestId()); #endif // LIBGAV1_MAX_BITDEPTH >= 10 } const char* direction; - if (is_scaled_convolve_ || (type_param_.has_vertical_filter && - type_param_.has_horizontal_filter)) { + if (type_param_.has_vertical_filter && type_param_.has_horizontal_filter) { direction = "2D"; } else if (type_param_.has_vertical_filter) { direction = "Vertical"; @@ -1141,10 +745,9 @@ void ConvolveTest<bitdepth, Pixel>::Test(bool use_fixed_values, int value, } const auto elapsed_time_us = static_cast<int>(absl::ToInt64Microseconds(elapsed_time)); - printf("Mode Convolve%s%s%s%s[%25s]: %5d us MD5: %s\n", + printf("Mode Convolve%s%s%s[%25s]: %5d us MD5: %s\n", type_param_.is_compound ? "Compound" : "", - type_param_.is_intra_block_copy ? "IntraBlockCopy" : "", - is_scaled_convolve_ ? "Scale" : "", direction, + type_param_.is_intra_block_copy ? "IntraBlockCopy" : "", direction, absl::StrFormat("%dx%d", param_.width, param_.height).c_str(), elapsed_time_us, md5_digest.Get()); EXPECT_STREQ(ref_digest, md5_digest.Get()); @@ -1210,7 +813,7 @@ void ShowRange() { assert(max > INT16_MAX && max < INT32_MAX); } - printf(" intermediate range: [%8d, %8d]\n", min, max); + printf(" Horizontal upscaled range: [%8d, %8d]\n", min, max); const int first_pass_min = RightShiftWithRounding(min, horizontal_bits); const int first_pass_max = RightShiftWithRounding(max, horizontal_bits); @@ -1219,7 +822,7 @@ void ShowRange() { assert(first_pass_min > INT16_MIN); assert(first_pass_max < INT16_MAX); - printf(" first pass output range: [%8d, %8d]\n", first_pass_min, + printf(" Horizontal downscaled range: [%8d, %8d]\n", first_pass_min, first_pass_max); // Second pass. @@ -1230,14 +833,14 @@ void ShowRange() { assert(min < INT16_MIN && min > INT32_MIN); assert(max > INT16_MAX && max < INT32_MAX); - printf(" intermediate range: [%8d, %8d]\n", min, max); + printf(" Vertical upscaled range: [%8d, %8d]\n", min, max); // Second pass non-compound output is clipped to Pixel values. const int second_pass_min = Clip3(RightShiftWithRounding(min, vertical_bits), 0, max_input); const int second_pass_max = Clip3(RightShiftWithRounding(max, vertical_bits), 0, max_input); - printf(" second pass output range: [%8d, %8d]\n", second_pass_min, + printf(" Pixel output range: [%8d, %8d]\n", second_pass_min, second_pass_max); // Output is Pixel so matches Pixel values. @@ -1249,7 +852,7 @@ void ShowRange() { const int compound_second_pass_max = RightShiftWithRounding(max, compound_vertical_bits) + compound_offset; - printf(" compound second pass output range: [%8d, %8d]\n", + printf(" Compound output range: [%8d, %8d]\n", compound_second_pass_min, compound_second_pass_max); if (bitdepth == 8) { @@ -1287,17 +890,333 @@ TEST_P(ConvolveTest8bpp, DISABLED_Speed) { Test(false, 0, num_runs); } +//------------------------------------------------------------------------------ +template <int bitdepth, typename Pixel> +class ConvolveScaleTest + : public testing::TestWithParam< + std::tuple<bool /*is_compound*/, ConvolveTestParam>> { + public: + ConvolveScaleTest() = default; + ~ConvolveScaleTest() override = default; + + void SetUp() override { + ConvolveInit_C(); + + const Dsp* const dsp = GetDspTable(bitdepth); + ASSERT_NE(dsp, nullptr); + base_convolve_scale_func_ = dsp->convolve_scale[is_compound_]; + + const testing::TestInfo* const test_info = + testing::UnitTest::GetInstance()->current_test_info(); + const absl::string_view test_case = test_info->test_suite_name(); + if (absl::StartsWith(test_case, "C/")) { + base_convolve_scale_func_ = nullptr; + } else if (absl::StartsWith(test_case, "SSE41/")) { + if ((GetCpuInfo() & kSSE4_1) != 0) { + ConvolveInit_SSE4_1(); + } + } else if (absl::StartsWith(test_case, "AVX2/")) { + if ((GetCpuInfo() & kAVX2) != 0) { + ConvolveInit_AVX2(); + } + } else if (absl::StartsWith(test_case, "NEON/")) { + ConvolveInit_NEON(); +#if LIBGAV1_MAX_BITDEPTH >= 10 + ConvolveInit10bpp_NEON(); +#endif + } else { + FAIL() << "Unrecognized architecture prefix in test case name: " + << test_case; + } + + cur_convolve_scale_func_ = dsp->convolve_scale[is_compound_]; + + // Skip functions that have not been specialized for this particular + // architecture. + if (cur_convolve_scale_func_ == base_convolve_scale_func_) { + cur_convolve_scale_func_ = nullptr; + } + } + + protected: + int GetDigestId() const { + return param_.block_size + + param_.kNumBlockSizes * static_cast<int>(is_compound_); + } + + void SetInputData(bool use_fixed_values, int value); + void Check(bool use_fixed_values, const Pixel* src, const Pixel* dest, + libvpx_test::MD5* md5_digest); + void Check16Bit(bool use_fixed_values, const uint16_t* src, + const uint16_t* dest, libvpx_test::MD5* md5_digest); + // |num_runs| covers the categories of filters (6) and the number of filters + // under each category (16). + void Test(bool use_fixed_values, int value, + int num_runs = kMinimumViableRuns); + + const bool is_compound_ = std::get<0>(GetParam()); + const ConvolveTestParam param_ = std::get<1>(GetParam()); + + private: + ConvolveScaleFunc base_convolve_scale_func_; + ConvolveScaleFunc cur_convolve_scale_func_; + // Convolve filters are 7-tap, which need 3 pixels + // (kRestorationHorizontalBorder) padding. + // The source can be at most 2 times of max width/height. + Pixel source_[kMaxBlockHeight * kMaxBlockWidth * 4] = {}; + uint16_t source_16bit_[kMaxBlockHeight * kMaxBlockWidth * 4] = {}; + uint16_t dest_16bit_[kMaxBlockHeight * kMaxBlockWidth] = {}; + Pixel dest_clipped_[kMaxBlockHeight * kMaxBlockWidth] = {}; + + const int source_stride_ = kMaxBlockWidth * 2; + const int source_height_ = kMaxBlockHeight * 2; +}; + +template <int bitdepth, typename Pixel> +void ConvolveScaleTest<bitdepth, Pixel>::SetInputData(bool use_fixed_values, + int value) { + if (use_fixed_values) { + std::fill(source_, source_ + source_height_ * source_stride_, value); + } else { + const int offset = + kConvolveBorderLeftTop * source_stride_ + kConvolveBorderLeftTop; + const int mask = (1 << bitdepth) - 1; + libvpx_test::ACMRandom rnd(libvpx_test::ACMRandom::DeterministicSeed()); + const int height = param_.height * 2; + const int width = param_.width * 2; + for (int y = 0; y < height; ++y) { + for (int x = 0; x < width; ++x) { + source_[y * source_stride_ + x + offset] = rnd.Rand16() & mask; + } + } + // Copy border pixels to the left and right borders. + for (int y = 0; y < height; ++y) { + Memset(&source_[(y + kConvolveBorderLeftTop) * source_stride_], + source_[y * source_stride_ + offset], kConvolveBorderLeftTop); + Memset(&source_[y * source_stride_ + offset + width], + source_[y * source_stride_ + offset + width - 1], + kConvolveBorderLeftTop); + } + // Copy border pixels to the top and bottom borders. + for (int y = 0; y < kConvolveBorderLeftTop; ++y) { + memcpy(&source_[y * source_stride_], + &source_[kConvolveBorderLeftTop * source_stride_], + source_stride_ * sizeof(Pixel)); + memcpy(&source_[(y + kConvolveBorderLeftTop + height) * source_stride_], + &source_[(kConvolveBorderLeftTop + height - 1) * source_stride_], + source_stride_ * sizeof(Pixel)); + } + } +} + +template <int bitdepth, typename Pixel> +void ConvolveScaleTest<bitdepth, Pixel>::Check(bool use_fixed_values, + const Pixel* src, + const Pixel* dest, + libvpx_test::MD5* md5_digest) { + if (use_fixed_values) { + // For fixed values, input and output are identical. + const bool success = + test_utils::CompareBlocks(src, dest, param_.width, param_.height, + kMaxBlockWidth, kMaxBlockWidth, false, false); + EXPECT_TRUE(success); + } else { + // For random input, compare md5. + const int offset = + kConvolveBorderLeftTop * kMaxBlockWidth + kConvolveBorderLeftTop; + const size_t size = sizeof(dest_clipped_) - offset * sizeof(Pixel); + md5_digest->Add(reinterpret_cast<const uint8_t*>(dest), size); + } +} + +template <int bitdepth, typename Pixel> +void ConvolveScaleTest<bitdepth, Pixel>::Check16Bit( + bool use_fixed_values, const uint16_t* src, const uint16_t* dest, + libvpx_test::MD5* md5_digest) { + if (use_fixed_values) { + // For fixed values, input and output are identical. + const bool success = + test_utils::CompareBlocks(src, dest, param_.width, param_.height, + kMaxBlockWidth, kMaxBlockWidth, false); + EXPECT_TRUE(success); + } else { + // For random input, compare md5. + const int offset = + kConvolveBorderLeftTop * kMaxBlockWidth + kConvolveBorderLeftTop; + const size_t size = sizeof(dest_16bit_) - offset * sizeof(uint16_t); + md5_digest->Add(reinterpret_cast<const uint8_t*>(dest), size); + } +} + +template <int bitdepth, typename Pixel> +void ConvolveScaleTest<bitdepth, Pixel>::Test( + bool use_fixed_values, int value, int num_runs /*= kMinimumViableRuns*/) { + // There's no meaning testing fixed input in compound convolve. + if (is_compound_ && use_fixed_values) return; + + // The compound function is only used for blocks 4x4 or greater. + if (is_compound_) { + if (param_.width < 4 || param_.height < 4) { + GTEST_SKIP(); + } + } + + // Skip unspecialized functions. + if (cur_convolve_scale_func_ == nullptr) { + GTEST_SKIP(); + } + + SetInputData(use_fixed_values, value); + libvpx_test::ACMRandom rnd(libvpx_test::ACMRandom::DeterministicSeed() + + GetDigestId()); + // [1,2048] for |step_[xy]|. This covers a scaling range of 1/1024 to 2x. + const int step_x = (rnd.Rand16() & ((1 << 11) - 1)) + 1; + const int step_y = (rnd.Rand16() & ((1 << 11) - 1)) + 1; + int subpixel_x = 0; + int subpixel_y = 0; + int vertical_index = 0; + int horizontal_index = 0; + const int offset = + kConvolveBorderLeftTop * kMaxBlockWidth + kConvolveBorderLeftTop; + const int offset_scale = + kConvolveBorderLeftTop * source_stride_ + kConvolveBorderLeftTop; + const Pixel* const src_scale = source_ + offset_scale; + const ptrdiff_t src_stride = source_stride_ * sizeof(Pixel); + const ptrdiff_t dst_stride = kMaxBlockWidth * sizeof(Pixel); + // Pack Compound output since we control the predictor buffer. + const ptrdiff_t dst_stride_compound = param_.width; + + // Output is always 16 bits regardless of |bitdepth|. + uint16_t* dst_16 = dest_16bit_ + offset; + // Output depends on |bitdepth|. + Pixel* dst_pixel = dest_clipped_ + offset; + + // Collect the first |kMinimumViableRuns| into one md5 buffer. + libvpx_test::MD5 md5_digest; + + absl::Duration elapsed_time; + for (int i = 0; i < num_runs; ++i) { + // Test every filter. + // Because of masking |subpixel_{x,y}| values roll over every 16 iterations. + subpixel_x += 1 << 6; + subpixel_y += 1 << 6; + + const int horizontal_filter_id = (subpixel_x >> 6) & 0xF; + const int vertical_filter_id = (subpixel_y >> 6) & 0xF; + + // |filter_id| == 0 (copy) must be handled by the appropriate 1D or copy + // function. + if (horizontal_filter_id == 0 || vertical_filter_id == 0) { + continue; + } + + // For focused speed testing these can be set to the desired filter. Want + // only 8 tap filters? Set |{vertical,horizontal}_index| to 2. + vertical_index += static_cast<int>(i % 16 == 0); + vertical_index %= 4; + horizontal_index += static_cast<int>(i % 16 == 0); + horizontal_index %= 4; + + // Output type is uint16_t. + const absl::Time start = absl::Now(); + if (is_compound_) { + cur_convolve_scale_func_( + source_, src_stride, horizontal_index, vertical_index, 0, 0, step_x, + step_y, param_.width, param_.height, dst_16, dst_stride_compound); + } else { + cur_convolve_scale_func_( + source_, src_stride, horizontal_index, vertical_index, 0, 0, step_x, + step_y, param_.width, param_.height, dst_pixel, dst_stride); + } + elapsed_time += absl::Now() - start; + + // Only check the output for the first set. After that it's just repeated + // runs for speed timing. + if (i >= kMinimumViableRuns) continue; + + // Convolve function does not clip the output. The clipping is applied + // later, but libaom clips the output. So we apply clipping to match + // libaom in tests. + if (is_compound_) { + const int single_round_offset = (1 << bitdepth) + (1 << (bitdepth - 1)); + Pixel* dest_row = dest_clipped_; + for (int y = 0; y < kMaxBlockHeight; ++y) { + for (int x = 0; x < kMaxBlockWidth; ++x) { + dest_row[x] = static_cast<Pixel>(Clip3( + dest_16bit_[y * dst_stride_compound + x] - single_round_offset, 0, + (1 << bitdepth) - 1)); + } + dest_row += kMaxBlockWidth; + } + } + + if (is_compound_) { + Check16Bit(use_fixed_values, source_16bit_ + offset_scale, dst_16, + &md5_digest); + } else { + Check(use_fixed_values, src_scale, dst_pixel, &md5_digest); + } + } + + if (!use_fixed_values) { + // md5 sums are only calculated for random input. + const char* ref_digest; + if (bitdepth == 8) { + ref_digest = GetConvolveScaleDigest8bpp(GetDigestId()); + } else { +#if LIBGAV1_MAX_BITDEPTH >= 10 + ref_digest = GetConvolveScaleDigest10bpp(GetDigestId()); +#endif // LIBGAV1_MAX_BITDEPTH >= 10 + } + + const auto elapsed_time_us = + static_cast<int>(absl::ToInt64Microseconds(elapsed_time)); + printf("Mode Convolve%sScale2D[%25s]: %5d us MD5: %s\n", + is_compound_ ? "Compound" : "", + absl::StrFormat("%dx%d", param_.width, param_.height).c_str(), + elapsed_time_us, md5_digest.Get()); + EXPECT_STREQ(ref_digest, md5_digest.Get()); + } +} + +using ConvolveScaleTest8bpp = ConvolveScaleTest<8, uint8_t>; + +TEST_P(ConvolveScaleTest8bpp, FixedValues) { + Test(true, 0); + Test(true, 1); + Test(true, 128); + Test(true, 255); +} + +TEST_P(ConvolveScaleTest8bpp, RandomValues) { Test(false, 0); } + +TEST_P(ConvolveScaleTest8bpp, DISABLED_Speed) { + const int num_runs = static_cast<int>(1.0e7 / (param_.width * param_.height)); + Test(false, 0, num_runs); +} + +//------------------------------------------------------------------------------ const ConvolveTestParam kConvolveParam[] = { - ConvolveTestParam(2, 2), ConvolveTestParam(2, 4), - ConvolveTestParam(4, 2), ConvolveTestParam(4, 4), - ConvolveTestParam(4, 8), ConvolveTestParam(8, 2), - ConvolveTestParam(8, 4), ConvolveTestParam(8, 8), - ConvolveTestParam(8, 16), ConvolveTestParam(16, 8), - ConvolveTestParam(16, 16), ConvolveTestParam(16, 32), - ConvolveTestParam(32, 16), ConvolveTestParam(32, 32), - ConvolveTestParam(32, 64), ConvolveTestParam(64, 32), - ConvolveTestParam(64, 64), ConvolveTestParam(64, 128), - ConvolveTestParam(128, 64), ConvolveTestParam(128, 128), + ConvolveTestParam(ConvolveTestParam::kBlockSize2x2), + ConvolveTestParam(ConvolveTestParam::kBlockSize2x4), + ConvolveTestParam(ConvolveTestParam::kBlockSize4x2), + ConvolveTestParam(ConvolveTestParam::kBlockSize4x4), + ConvolveTestParam(ConvolveTestParam::kBlockSize4x8), + ConvolveTestParam(ConvolveTestParam::kBlockSize8x2), + ConvolveTestParam(ConvolveTestParam::kBlockSize8x4), + ConvolveTestParam(ConvolveTestParam::kBlockSize8x8), + ConvolveTestParam(ConvolveTestParam::kBlockSize8x16), + ConvolveTestParam(ConvolveTestParam::kBlockSize16x8), + ConvolveTestParam(ConvolveTestParam::kBlockSize16x16), + ConvolveTestParam(ConvolveTestParam::kBlockSize16x32), + ConvolveTestParam(ConvolveTestParam::kBlockSize32x16), + ConvolveTestParam(ConvolveTestParam::kBlockSize32x32), + ConvolveTestParam(ConvolveTestParam::kBlockSize32x64), + ConvolveTestParam(ConvolveTestParam::kBlockSize64x32), + ConvolveTestParam(ConvolveTestParam::kBlockSize64x64), + ConvolveTestParam(ConvolveTestParam::kBlockSize64x128), + ConvolveTestParam(ConvolveTestParam::kBlockSize128x64), + ConvolveTestParam(ConvolveTestParam::kBlockSize128x128), }; const ConvolveTypeParam kConvolveTypeParam[] = { @@ -1313,36 +1232,43 @@ const ConvolveTypeParam kConvolveTypeParam[] = { ConvolveTypeParam(true, false, false, true), ConvolveTypeParam(true, false, true, false), ConvolveTypeParam(true, false, true, true), + // This is left to ensure no function exists for |intra_block_copy| when + // |is_compound| is true; all combinations aren't necessary. ConvolveTypeParam(true, true, false, false), - ConvolveTypeParam(true, true, false, true), - ConvolveTypeParam(true, true, true, false), - ConvolveTypeParam(true, true, true, true), }; INSTANTIATE_TEST_SUITE_P(C, ConvolveTest8bpp, - testing::Combine(testing::ValuesIn(kConvolveParam), - testing::ValuesIn(kConvolveTypeParam), - testing::Bool())); + testing::Combine(testing::ValuesIn(kConvolveTypeParam), + testing::ValuesIn(kConvolveParam))); +INSTANTIATE_TEST_SUITE_P(C, ConvolveScaleTest8bpp, + testing::Combine(testing::Bool(), + testing::ValuesIn(kConvolveParam))); #if LIBGAV1_ENABLE_NEON INSTANTIATE_TEST_SUITE_P(NEON, ConvolveTest8bpp, - testing::Combine(testing::ValuesIn(kConvolveParam), - testing::ValuesIn(kConvolveTypeParam), - testing::Bool())); + testing::Combine(testing::ValuesIn(kConvolveTypeParam), + testing::ValuesIn(kConvolveParam))); +INSTANTIATE_TEST_SUITE_P(NEON, ConvolveScaleTest8bpp, + testing::Combine(testing::Bool(), + testing::ValuesIn(kConvolveParam))); #endif // LIBGAV1_ENABLE_NEON #if LIBGAV1_ENABLE_SSE4_1 INSTANTIATE_TEST_SUITE_P(SSE41, ConvolveTest8bpp, - testing::Combine(testing::ValuesIn(kConvolveParam), - testing::ValuesIn(kConvolveTypeParam), - testing::Bool())); + testing::Combine(testing::ValuesIn(kConvolveTypeParam), + testing::ValuesIn(kConvolveParam))); +INSTANTIATE_TEST_SUITE_P(SSE41, ConvolveScaleTest8bpp, + testing::Combine(testing::Bool(), + testing::ValuesIn(kConvolveParam))); #endif // LIBGAV1_ENABLE_SSE4_1 #if LIBGAV1_ENABLE_AVX2 INSTANTIATE_TEST_SUITE_P(AVX2, ConvolveTest8bpp, - testing::Combine(testing::ValuesIn(kConvolveParam), - testing::ValuesIn(kConvolveTypeParam), - testing::Bool())); + testing::Combine(testing::ValuesIn(kConvolveTypeParam), + testing::ValuesIn(kConvolveParam))); +INSTANTIATE_TEST_SUITE_P(AVX2, ConvolveScaleTest8bpp, + testing::Combine(testing::Bool(), + testing::ValuesIn(kConvolveParam))); #endif // LIBGAV1_ENABLE_AVX2 #if LIBGAV1_MAX_BITDEPTH >= 10 @@ -1362,10 +1288,38 @@ TEST_P(ConvolveTest10bpp, DISABLED_Speed) { Test(false, 0, num_runs); } +using ConvolveScaleTest10bpp = ConvolveScaleTest<10, uint16_t>; + +TEST_P(ConvolveScaleTest10bpp, FixedValues) { + Test(true, 0); + Test(true, 1); + Test(true, 128); + Test(true, (1 << 10) - 1); +} + +TEST_P(ConvolveScaleTest10bpp, RandomValues) { Test(false, 0); } + +TEST_P(ConvolveScaleTest10bpp, DISABLED_Speed) { + const int num_runs = static_cast<int>(1.0e7 / (param_.width * param_.height)); + Test(false, 0, num_runs); +} + INSTANTIATE_TEST_SUITE_P(C, ConvolveTest10bpp, - testing::Combine(testing::ValuesIn(kConvolveParam), - testing::ValuesIn(kConvolveTypeParam), - testing::Bool())); + testing::Combine(testing::ValuesIn(kConvolveTypeParam), + testing::ValuesIn(kConvolveParam))); +INSTANTIATE_TEST_SUITE_P(C, ConvolveScaleTest10bpp, + testing::Combine(testing::Bool(), + testing::ValuesIn(kConvolveParam))); + +#if LIBGAV1_ENABLE_NEON +INSTANTIATE_TEST_SUITE_P(NEON, ConvolveTest10bpp, + testing::Combine(testing::ValuesIn(kConvolveTypeParam), + testing::ValuesIn(kConvolveParam))); +INSTANTIATE_TEST_SUITE_P(NEON, ConvolveScaleTest10bpp, + testing::Combine(testing::Bool(), + testing::ValuesIn(kConvolveParam))); +#endif // LIBGAV1_ENABLE_NEON + #endif // LIBGAV1_MAX_BITDEPTH >= 10 } // namespace |