blake3-0.3.1: test/Main.hs
{-# LANGUAGE DataKinds #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE ScopedTypeVariables #-}
{-# LANGUAGE TypeApplications #-}
module Main (main) where
import qualified BLAKE3 as B
import qualified Data.ByteArray as BA
import qualified Data.ByteArray.Sized as BAS
import qualified Data.List as List
import Data.Proxy
import Foreign.Storable
import GHC.TypeLits
import Test.Tasty (TestTree, testGroup)
import qualified Test.Tasty as Tasty
import Test.Tasty.HUnit (testCase, (@=?))
import qualified Test.Tasty.Runners as Tasty
--------------------------------------------------------------------------------
main :: IO ()
main =
Tasty.defaultMainWithIngredients
[ Tasty.consoleTestReporter
, Tasty.listingTests
]
tt_BLAKE3
tt_BLAKE3 :: TestTree
tt_BLAKE3 =
testGroup
"BLAKE3"
[ tt_chunksOf
, tt_testVectors
, tt_key
, tt_hasher
, tt_digest
]
{-
"Each test is an input length and three outputs, one for each of the hash,
keyed_hash, and derive_key modes. The input in each case is filled with a
251-byte-long repeating pattern: 0, 1, 2, ..., 249, 250, 0, 1, ... The key used
with keyed_hash is the 32-byte ASCII string given in the 'key' field below. For
derive_key, the test input is used as the input key, and the context string is
'BLAKE3 2019-12-27 16:29:52 test vectors context'. (As good practice for
following the security requirements of derive_key, test runners should make that
context string a hardcoded constant, and we do not provided it in
machine-readable form.) Outputs are encoded as hexadecimal. Each case is an
extended output, and implementations should also check that the first 32 bytes
match their default-length output.",
-}
--------------------------------------------------------------------------------
-- Helpers
-- | Like 'Data.List.Split.chunksOf'.
chunksOf :: Int -> [x] -> [[x]]
chunksOf _ [] = []
chunksOf n xs
| n < 1 = error "chunksOf 0 _"
| otherwise =
let (pre, pos) = List.splitAt n xs
in pre : chunksOf n pos
tt_chunksOf :: TestTree
tt_chunksOf =
testGroup
"chunksOf"
[ testCase "empty list" $ do
[] @=? chunksOf 1 ""
[] @=? chunksOf 2 ""
, testCase "non-empty list" $ do
["a"] @=? chunksOf 1 "a"
["a", "b"] @=? chunksOf 1 "ab"
["a", "b", "c"] @=? chunksOf 1 "abc"
["a", "b", "c", "d"] @=? chunksOf 1 "abcd"
["a"] @=? chunksOf 2 "a"
["ab"] @=? chunksOf 2 "ab"
["ab", "c"] @=? chunksOf 2 "abc"
["ab", "cd"] @=? chunksOf 2 "abcd"
["a"] @=? chunksOf 3 "a"
["ab"] @=? chunksOf 3 "ab"
["abc"] @=? chunksOf 3 "abc"
["abc", "d"] @=? chunksOf 3 "abcd"
]
--------------------------------------------------------------------------------
tt_hasher :: TestTree
tt_hasher =
testGroup
"Hasher"
[ testCase "hasher: no-mutate" $ do
let h1 = B.init Nothing
"af1349b9f5f9a1a6a040" @=? show (B.finalize h1 :: B.Digest 10)
let h2 = B.update @BA.ScrubbedBytes h1 ["upd"]
"af1349b9f5f9a1a6a040" @=? show (B.finalize h1 :: B.Digest 10)
"3bad57477a5020f06859" @=? show (B.finalize h2 :: B.Digest 10)
let h3 = B.update @BA.ScrubbedBytes h2 ["fin"]
"af1349b9f5f9a1a6a040" @=? show (B.finalize h1 :: B.Digest 10)
"3bad57477a5020f06859" @=? show (B.finalize h2 :: B.Digest 10)
"48503741232720f6ca03" @=? show (B.finalize h3 :: B.Digest 10)
, testCase "hasherKeyed: no-mutate" $ do
let h1 = B.init (Just testVector_key)
"92b2b75604ed3c761f9d" @=? show (B.finalize h1 :: B.Digest 10)
let h2 = B.update @BA.ScrubbedBytes h1 ["upd"]
"92b2b75604ed3c761f9d" @=? show (B.finalize h1 :: B.Digest 10)
"f46255baa87a3280d644" @=? show (B.finalize h2 :: B.Digest 10)
let h3 = B.update @BA.ScrubbedBytes h2 ["fin"]
"92b2b75604ed3c761f9d" @=? show (B.finalize h1 :: B.Digest 10)
"f46255baa87a3280d644" @=? show (B.finalize h2 :: B.Digest 10)
"b5ee60b5d89ac7e1289b" @=? show (B.finalize h3 :: B.Digest 10)
, testCase "finalize vs finalizeSeek: zero" $ do
let dig0 :: B.Digest 50 = B.finalize (B.init Nothing)
let dig1 :: B.Digest 50 = B.finalizeSeek (B.init Nothing) 0
dig0 @=? dig1
, testCase "finalize vs finalizeSeek: non-zero" $ do
let dig0 :: B.Digest 2050 = B.finalize (B.init Nothing)
let dig1 :: B.Digest 50 = B.finalizeSeek (B.init Nothing) 2000
BA.drop 2000 (BA.convert dig0) @=? (BA.convert dig1 :: BA.Bytes)
, testCase "Storable" $ do
let h1 = B.init Nothing
h2 <- BAS.alloc $ \ph2 -> poke ph2 h1
h1 @=? h2
h3 <- BA.withByteArray h1 peek
h1 @=? h3
]
tt_digest :: TestTree
tt_digest =
testGroup
"Digest"
[ testCase "Storable" $ do
let d1 :: B.Digest 400 = B.hash Nothing ([] :: [BA.Bytes])
d2 <- BAS.alloc $ \pd2 -> poke pd2 d1
d1 @=? d2
d3 <- BA.withByteArray d1 peek
d1 @=? d3
]
testVector_context :: BA.ScrubbedBytes
testVector_context = "BLAKE3 2019-12-27 16:29:52 test vectors context"
tt_testVectors :: TestTree
tt_testVectors = testGroup "TestVectors" (fmap mkTestTree testVectors)
testVector_input :: Int -> (BA.Bytes, [BA.Bytes])
testVector_input n =
let x = take n (cycle [0 .. 250])
m = min 16383 (ceiling (fromIntegral n / 10 :: Double))
in (BA.pack x, BA.pack <$> chunksOf m x)
testVector_key :: B.Key
testVector_key =
maybe undefined id $
B.key
("whats the Elvish word for friend" :: BA.ScrubbedBytes)
tt_key :: TestTree
tt_key =
testGroup
"Key"
[ testCase "empty" $ do
Nothing @=? B.key (BA.replicate 0 0 :: BA.Bytes)
, testCase "short" $ do
Nothing @=? B.key (BA.replicate 2 0 :: BA.Bytes)
, testCase "ok" $ do
"77686174732074686520456c7669736820776f726420666f7220667269656e64"
@=? show testVector_key
, testCase "long" $ do
Nothing @=? B.key (BA.replicate 100 0 :: BA.Bytes)
, testCase "Storable" $ do
let k1 = testVector_key
k2 <- BAS.alloc $ \pk2 -> poke pk2 k1
k1 @=? k2
k3 <- BA.withByteArray k1 peek
k1 @=? k3
]
data TestVector = TestVector
{ tv_inputLen :: Int
, tv_hash :: String
-- ^ Base16 rendering of 'B.Digest'
, tv_hashKeyed :: String
-- ^ Base16 rendering of 'B.Digest'
, tv_derivedKey :: String
-- ^ Base16 rendering of 'B.Digest'
}
mkTestTree :: TestVector -> TestTree
mkTestTree tv =
testGroup (take 16 (tv_hash tv)) $
let (input1, inputChunks) = testVector_input (tv_inputLen tv)
digestLen = length (tv_hash tv) `div` 2
in case someNatVal (fromIntegral digestLen) of
Nothing -> error "Bad tv_inputLen"
Just (SomeNat (Proxy :: Proxy len)) ->
let digest1 :: B.Digest len = B.hash Nothing [input1]
digest1F :: B.Digest len = hashF Nothing [input1]
digest1Keyed :: B.Digest len = B.hash (Just testVector_key) [input1]
digest1KeyedF :: B.Digest len = hashF (Just testVector_key) [input1]
digest1Derived :: B.Digest len = B.derive testVector_context [input1]
digestChunks :: B.Digest len = B.hash Nothing inputChunks
digestChunksF :: B.Digest len = hashF Nothing inputChunks
digestChunksKeyed :: B.Digest len = B.hash (Just testVector_key) inputChunks
digestChunksKeyedF :: B.Digest len = hashF (Just testVector_key) inputChunks
digestChunksDerived :: B.Digest len = B.derive testVector_context inputChunks
in [ testCase "digest1" $ tv_hash tv @=? show digest1
, testCase "digest1F" $ tv_hash tv @=? show digest1F
, testCase "digest1Keyed" $ tv_hashKeyed tv @=? show digest1Keyed
, testCase "digest1KeyedF" $ tv_hashKeyed tv @=? show digest1KeyedF
, testCase "digest1Derived" $ tv_derivedKey tv @=? show digest1Derived
, testCase "digestChunks" $ tv_hash tv @=? show digestChunks
, testCase "digestChunksF" $ tv_hash tv @=? show digestChunksF
, testCase "digestChunksKeyed" $ tv_hashKeyed tv @=? show digestChunksKeyed
, testCase "digestChunksKeyedF" $ tv_hashKeyed tv @=? show digestChunksKeyedF
, testCase "digestChunksDerived" $ tv_derivedKey tv @=? show digestChunksDerived
]
-- | Same as 'B.hash'. For testing.
hashF :: (KnownNat len, BA.ByteArrayAccess bin) => Maybe B.Key -> [bin] -> B.Digest len
hashF yk = B.finalize . B.update (B.init yk)
testVectors :: [TestVector]
testVectors =
[ TestVector
{ tv_inputLen = 0
, tv_hash = "af1349b9f5f9a1a6a0404dea36dcc9499bcb25c9adc112b7cc9a93cae41f3262e00f03e7b69af26b7faaf09fcd333050338ddfe085b8cc869ca98b206c08243a26f5487789e8f660afe6c99ef9e0c52b92e7393024a80459cf91f476f9ffdbda7001c22e159b402631f277ca96f2defdf1078282314e763699a31c5363165421cce14d"
, tv_hashKeyed = "92b2b75604ed3c761f9d6f62392c8a9227ad0ea3f09573e783f1498a4ed60d26b18171a2f22a4b94822c701f107153dba24918c4bae4d2945c20ece13387627d3b73cbf97b797d5e59948c7ef788f54372df45e45e4293c7dc18c1d41144a9758be58960856be1eabbe22c2653190de560ca3b2ac4aa692a9210694254c371e851bc8f"
, tv_derivedKey = "2cc39783c223154fea8dfb7c1b1660f2ac2dcbd1c1de8277b0b0dd39b7e50d7d905630c8be290dfcf3e6842f13bddd573c098c3f17361f1f206b8cad9d088aa4a3f746752c6b0ce6a83b0da81d59649257cdf8eb3e9f7d4998e41021fac119deefb896224ac99f860011f73609e6e0e4540f93b273e56547dfd3aa1a035ba6689d89a0"
}
, TestVector
{ tv_inputLen = 1
, tv_hash = "2d3adedff11b61f14c886e35afa036736dcd87a74d27b5c1510225d0f592e213c3a6cb8bf623e20cdb535f8d1a5ffb86342d9c0b64aca3bce1d31f60adfa137b358ad4d79f97b47c3d5e79f179df87a3b9776ef8325f8329886ba42f07fb138bb502f4081cbcec3195c5871e6c23e2cc97d3c69a613eba131e5f1351f3f1da786545e5"
, tv_hashKeyed = "6d7878dfff2f485635d39013278ae14f1454b8c0a3a2d34bc1ab38228a80c95b6568c0490609413006fbd428eb3fd14e7756d90f73a4725fad147f7bf70fd61c4e0cf7074885e92b0e3f125978b4154986d4fb202a3f331a3fb6cf349a3a70e49990f98fe4289761c8602c4e6ab1138d31d3b62218078b2f3ba9a88e1d08d0dd4cea11"
, tv_derivedKey = "b3e2e340a117a499c6cf2398a19ee0d29cca2bb7404c73063382693bf66cb06c5827b91bf889b6b97c5477f535361caefca0b5d8c4746441c57617111933158950670f9aa8a05d791daae10ac683cbef8faf897c84e6114a59d2173c3f417023a35d6983f2c7dfa57e7fc559ad751dbfb9ffab39c2ef8c4aafebc9ae973a64f0c76551"
}
, TestVector
{ tv_inputLen = 1023
, tv_hash = "10108970eeda3eb932baac1428c7a2163b0e924c9a9e25b35bba72b28f70bd11a182d27a591b05592b15607500e1e8dd56bc6c7fc063715b7a1d737df5bad3339c56778957d870eb9717b57ea3d9fb68d1b55127bba6a906a4a24bbd5acb2d123a37b28f9e9a81bbaae360d58f85e5fc9d75f7c370a0cc09b6522d9c8d822f2f28f485"
, tv_hashKeyed = "c951ecdf03288d0fcc96ee3413563d8a6d3589547f2c2fb36d9786470f1b9d6e890316d2e6d8b8c25b0a5b2180f94fb1a158ef508c3cde45e2966bd796a696d3e13efd86259d756387d9becf5c8bf1ce2192b87025152907b6d8cc33d17826d8b7b9bc97e38c3c85108ef09f013e01c229c20a83d9e8efac5b37470da28575fd755a10"
, tv_derivedKey = "74a16c1c3d44368a86e1ca6df64be6a2f64cce8f09220787450722d85725dea59c413264404661e9e4d955409dfe4ad3aa487871bcd454ed12abfe2c2b1eb7757588cf6cb18d2eccad49e018c0d0fec323bec82bf1644c6325717d13ea712e6840d3e6e730d35553f59eff5377a9c350bcc1556694b924b858f329c44ee64b884ef00d"
}
, TestVector
{ tv_inputLen = 1024
, tv_hash = "42214739f095a406f3fc83deb889744ac00df831c10daa55189b5d121c855af71cf8107265ecdaf8505b95d8fcec83a98a6a96ea5109d2c179c47a387ffbb404756f6eeae7883b446b70ebb144527c2075ab8ab204c0086bb22b7c93d465efc57f8d917f0b385c6df265e77003b85102967486ed57db5c5ca170ba441427ed9afa684e"
, tv_hashKeyed = "75c46f6f3d9eb4f55ecaaee480db732e6c2105546f1e675003687c31719c7ba4a78bc838c72852d4f49c864acb7adafe2478e824afe51c8919d06168414c265f298a8094b1ad813a9b8614acabac321f24ce61c5a5346eb519520d38ecc43e89b5000236df0597243e4d2493fd626730e2ba17ac4d8824d09d1a4a8f57b8227778e2de"
, tv_derivedKey = "7356cd7720d5b66b6d0697eb3177d9f8d73a4a5c5e968896eb6a6896843027066c23b601d3ddfb391e90d5c8eccdef4ae2a264bce9e612ba15e2bc9d654af1481b2e75dbabe615974f1070bba84d56853265a34330b4766f8e75edd1f4a1650476c10802f22b64bd3919d246ba20a17558bc51c199efdec67e80a227251808d8ce5bad"
}
, TestVector
{ tv_inputLen = 1025
, tv_hash = "d00278ae47eb27b34faecf67b4fe263f82d5412916c1ffd97c8cb7fb814b8444f4c4a22b4b399155358a994e52bf255de60035742ec71bd08ac275a1b51cc6bfe332b0ef84b409108cda080e6269ed4b3e2c3f7d722aa4cdc98d16deb554e5627be8f955c98e1d5f9565a9194cad0c4285f93700062d9595adb992ae68ff12800ab67a"
, tv_hashKeyed = "357dc55de0c7e382c900fd6e320acc04146be01db6a8ce7210b7189bd664ea69362396b77fdc0d2634a552970843722066c3c15902ae5097e00ff53f1e116f1cd5352720113a837ab2452cafbde4d54085d9cf5d21ca613071551b25d52e69d6c81123872b6f19cd3bc1333edf0c52b94de23ba772cf82636cff4542540a7738d5b930"
, tv_derivedKey = "effaa245f065fbf82ac186839a249707c3bddf6d3fdda22d1b95a3c970379bcb5d31013a167509e9066273ab6e2123bc835b408b067d88f96addb550d96b6852dad38e320b9d940f86db74d398c770f462118b35d2724efa13da97194491d96dd37c3c09cbef665953f2ee85ec83d88b88d11547a6f911c8217cca46defa2751e7f3ad"
}
, TestVector
{ tv_inputLen = 2048
, tv_hash = "e776b6028c7cd22a4d0ba182a8bf62205d2ef576467e838ed6f2529b85fba24a9a60bf80001410ec9eea6698cd537939fad4749edd484cb541aced55cd9bf54764d063f23f6f1e32e12958ba5cfeb1bf618ad094266d4fc3c968c2088f677454c288c67ba0dba337b9d91c7e1ba586dc9a5bc2d5e90c14f53a8863ac75655461cea8f9"
, tv_hashKeyed = "879cf1fa2ea0e79126cb1063617a05b6ad9d0b696d0d757cf053439f60a99dd10173b961cd574288194b23ece278c330fbb8585485e74967f31352a8183aa782b2b22f26cdcadb61eed1a5bc144b8198fbb0c13abbf8e3192c145d0a5c21633b0ef86054f42809df823389ee40811a5910dcbd1018af31c3b43aa55201ed4edaac74fe"
, tv_derivedKey = "7b2945cb4fef70885cc5d78a87bf6f6207dd901ff239201351ffac04e1088a23e2c11a1ebffcea4d80447867b61badb1383d842d4e79645d48dd82ccba290769caa7af8eaa1bd78a2a5e6e94fbdab78d9c7b74e894879f6a515257ccf6f95056f4e25390f24f6b35ffbb74b766202569b1d797f2d4bd9d17524c720107f985f4ddc583"
}
, TestVector
{ tv_inputLen = 2049
, tv_hash = "5f4d72f40d7a5f82b15ca2b2e44b1de3c2ef86c426c95c1af0b687952256303096de31d71d74103403822a2e0bc1eb193e7aecc9643a76b7bbc0c9f9c52e8783aae98764ca468962b5c2ec92f0c74eb5448d519713e09413719431c802f948dd5d90425a4ecdadece9eb178d80f26efccae630734dff63340285adec2aed3b51073ad3"
, tv_hashKeyed = "9f29700902f7c86e514ddc4df1e3049f258b2472b6dd5267f61bf13983b78dd5f9a88abfefdfa1e00b418971f2b39c64ca621e8eb37fceac57fd0c8fc8e117d43b81447be22d5d8186f8f5919ba6bcc6846bd7d50726c06d245672c2ad4f61702c646499ee1173daa061ffe15bf45a631e2946d616a4c345822f1151284712f76b2b0e"
, tv_derivedKey = "2ea477c5515cc3dd606512ee72bb3e0e758cfae7232826f35fb98ca1bcbdf27316d8e9e79081a80b046b60f6a263616f33ca464bd78d79fa18200d06c7fc9bffd808cc4755277a7d5e09da0f29ed150f6537ea9bed946227ff184cc66a72a5f8c1e4bd8b04e81cf40fe6dc4427ad5678311a61f4ffc39d195589bdbc670f63ae70f4b6"
}
, TestVector
{ tv_inputLen = 3072
, tv_hash = "b98cb0ff3623be03326b373de6b9095218513e64f1ee2edd2525c7ad1e5cffd29a3f6b0b978d6608335c09dc94ccf682f9951cdfc501bfe47b9c9189a6fc7b404d120258506341a6d802857322fbd20d3e5dae05b95c88793fa83db1cb08e7d8008d1599b6209d78336e24839724c191b2a52a80448306e0daa84a3fdb566661a37e11"
, tv_hashKeyed = "044a0e7b172a312dc02a4c9a818c036ffa2776368d7f528268d2e6b5df19177022f302d0529e4174cc507c463671217975e81dab02b8fdeb0d7ccc7568dd22574c783a76be215441b32e91b9a904be8ea81f7a0afd14bad8ee7c8efc305ace5d3dd61b996febe8da4f56ca0919359a7533216e2999fc87ff7d8f176fbecb3d6f34278b"
, tv_derivedKey = "050df97f8c2ead654d9bb3ab8c9178edcd902a32f8495949feadcc1e0480c46b3604131bbd6e3ba573b6dd682fa0a63e5b165d39fc43a625d00207607a2bfeb65ff1d29292152e26b298868e3b87be95d6458f6f2ce6118437b632415abe6ad522874bcd79e4030a5e7bad2efa90a7a7c67e93f0a18fb28369d0a9329ab5c24134ccb0"
}
, TestVector
{ tv_inputLen = 3073
, tv_hash = "7124b49501012f81cc7f11ca069ec9226cecb8a2c850cfe644e327d22d3e1cd39a27ae3b79d68d89da9bf25bc27139ae65a324918a5f9b7828181e52cf373c84f35b639b7fccbb985b6f2fa56aea0c18f531203497b8bbd3a07ceb5926f1cab74d14bd66486d9a91eba99059a98bd1cd25876b2af5a76c3e9eed554ed72ea952b603bf"
, tv_hashKeyed = "68dede9bef00ba89e43f31a6825f4cf433389fedae75c04ee9f0cf16a427c95a96d6da3fe985054d3478865be9a092250839a697bbda74e279e8a9e69f0025e4cfddd6cfb434b1cd9543aaf97c635d1b451a4386041e4bb100f5e45407cbbc24fa53ea2de3536ccb329e4eb9466ec37093a42cf62b82903c696a93a50b702c80f3c3c5"
, tv_derivedKey = "72613c9ec9ff7e40f8f5c173784c532ad852e827dba2bf85b2ab4b76f7079081576288e552647a9d86481c2cae75c2dd4e7c5195fb9ada1ef50e9c5098c249d743929191441301c69e1f48505a4305ec1778450ee48b8e69dc23a25960fe33070ea549119599760a8a2d28aeca06b8c5e9ba58bc19e11fe57b6ee98aa44b2a8e6b14a5"
}
, TestVector
{ tv_inputLen = 4096
, tv_hash = "015094013f57a5277b59d8475c0501042c0b642e531b0a1c8f58d2163229e9690289e9409ddb1b99768eafe1623da896faf7e1114bebeadc1be30829b6f8af707d85c298f4f0ff4d9438aef948335612ae921e76d411c3a9111df62d27eaf871959ae0062b5492a0feb98ef3ed4af277f5395172dbe5c311918ea0074ce0036454f620"
, tv_hashKeyed = "befc660aea2f1718884cd8deb9902811d332f4fc4a38cf7c7300d597a081bfc0bbb64a36edb564e01e4b4aaf3b060092a6b838bea44afebd2deb8298fa562b7b597c757b9df4c911c3ca462e2ac89e9a787357aaf74c3b56d5c07bc93ce899568a3eb17d9250c20f6c5f6c1e792ec9a2dcb715398d5a6ec6d5c54f586a00403a1af1de"
, tv_derivedKey = "1e0d7f3db8c414c97c6307cbda6cd27ac3b030949da8e23be1a1a924ad2f25b9d78038f7b198596c6cc4a9ccf93223c08722d684f240ff6569075ed81591fd93f9fff1110b3a75bc67e426012e5588959cc5a4c192173a03c00731cf84544f65a2fb9378989f72e9694a6a394a8a30997c2e67f95a504e631cd2c5f55246024761b245"
}
, TestVector
{ tv_inputLen = 4097
, tv_hash = "9b4052b38f1c5fc8b1f9ff7ac7b27cd242487b3d890d15c96a1c25b8aa0fb99505f91b0b5600a11251652eacfa9497b31cd3c409ce2e45cfe6c0a016967316c426bd26f619eab5d70af9a418b845c608840390f361630bd497b1ab44019316357c61dbe091ce72fc16dc340ac3d6e009e050b3adac4b5b2c92e722cffdc46501531956"
, tv_hashKeyed = "00df940cd36bb9fa7cbbc3556744e0dbc8191401afe70520ba292ee3ca80abbc606db4976cfdd266ae0abf667d9481831ff12e0caa268e7d3e57260c0824115a54ce595ccc897786d9dcbf495599cfd90157186a46ec800a6763f1c59e36197e9939e900809f7077c102f888caaf864b253bc41eea812656d46742e4ea42769f89b83f"
, tv_derivedKey = "aca51029626b55fda7117b42a7c211f8c6e9ba4fe5b7a8ca922f34299500ead8a897f66a400fed9198fd61dd2d58d382458e64e100128075fc54b860934e8de2e84170734b06e1d212a117100820dbc48292d148afa50567b8b84b1ec336ae10d40c8c975a624996e12de31abbe135d9d159375739c333798a80c64ae895e51e22f3ad"
}
, TestVector
{ tv_inputLen = 5120
, tv_hash = "9cadc15fed8b5d854562b26a9536d9707cadeda9b143978f319ab34230535833acc61c8fdc114a2010ce8038c853e121e1544985133fccdd0a2d507e8e615e611e9a0ba4f47915f49e53d721816a9198e8b30f12d20ec3689989175f1bf7a300eee0d9321fad8da232ece6efb8e9fd81b42ad161f6b9550a069e66b11b40487a5f5059"
, tv_hashKeyed = "2c493e48e9b9bf31e0553a22b23503c0a3388f035cece68eb438d22fa1943e209b4dc9209cd80ce7c1f7c9a744658e7e288465717ae6e56d5463d4f80cdb2ef56495f6a4f5487f69749af0c34c2cdfa857f3056bf8d807336a14d7b89bf62bef2fb54f9af6a546f818dc1e98b9e07f8a5834da50fa28fb5874af91bf06020d1bf0120e"
, tv_derivedKey = "7a7acac8a02adcf3038d74cdd1d34527de8a0fcc0ee3399d1262397ce5817f6055d0cefd84d9d57fe792d65a278fd20384ac6c30fdb340092f1a74a92ace99c482b28f0fc0ef3b923e56ade20c6dba47e49227166251337d80a037e987ad3a7f728b5ab6dfafd6e2ab1bd583a95d9c895ba9c2422c24ea0f62961f0dca45cad47bfa0d"
}
, TestVector
{ tv_inputLen = 5121
, tv_hash = "628bd2cb2004694adaab7bbd778a25df25c47b9d4155a55f8fbd79f2fe154cff96adaab0613a6146cdaabe498c3a94e529d3fc1da2bd08edf54ed64d40dcd6777647eac51d8277d70219a9694334a68bc8f0f23e20b0ff70ada6f844542dfa32cd4204ca1846ef76d811cdb296f65e260227f477aa7aa008bac878f72257484f2b6c95"
, tv_hashKeyed = "6ccf1c34753e7a044db80798ecd0782a8f76f33563accaddbfbb2e0ea4b2d0240d07e63f13667a8d1490e5e04f13eb617aea16a8c8a5aaed1ef6fbde1b0515e3c81050b361af6ead126032998290b563e3caddeaebfab592e155f2e161fb7cba939092133f23f9e65245e58ec23457b78a2e8a125588aad6e07d7f11a85b88d375b72d"
, tv_derivedKey = "b07f01e518e702f7ccb44a267e9e112d403a7b3f4883a47ffbed4b48339b3c341a0add0ac032ab5aaea1e4e5b004707ec5681ae0fcbe3796974c0b1cf31a194740c14519273eedaabec832e8a784b6e7cfc2c5952677e6c3f2c3914454082d7eb1ce1766ac7d75a4d3001fc89544dd46b5147382240d689bbbaefc359fb6ae30263165"
}
, TestVector
{ tv_inputLen = 6144
, tv_hash = "3e2e5b74e048f3add6d21faab3f83aa44d3b2278afb83b80b3c35164ebeca2054d742022da6fdda444ebc384b04a54c3ac5839b49da7d39f6d8a9db03deab32aade156c1c0311e9b3435cde0ddba0dce7b26a376cad121294b689193508dd63151603c6ddb866ad16c2ee41585d1633a2cea093bea714f4c5d6b903522045b20395c83"
, tv_hashKeyed = "3d6b6d21281d0ade5b2b016ae4034c5dec10ca7e475f90f76eac7138e9bc8f1dc35754060091dc5caf3efabe0603c60f45e415bb3407db67e6beb3d11cf8e4f7907561f05dace0c15807f4b5f389c841eb114d81a82c02a00b57206b1d11fa6e803486b048a5ce87105a686dee041207e095323dfe172df73deb8c9532066d88f9da7e"
, tv_derivedKey = "2a95beae63ddce523762355cf4b9c1d8f131465780a391286a5d01abb5683a1597099e3c6488aab6c48f3c15dbe1942d21dbcdc12115d19a8b8465fb54e9053323a9178e4275647f1a9927f6439e52b7031a0b465c861a3fc531527f7758b2b888cf2f20582e9e2c593709c0a44f9c6e0f8b963994882ea4168827823eef1f64169fef"
}
, TestVector
{ tv_inputLen = 6145
, tv_hash = "f1323a8631446cc50536a9f705ee5cb619424d46887f3c376c695b70e0f0507f18a2cfdd73c6e39dd75ce7c1c6e3ef238fd54465f053b25d21044ccb2093beb015015532b108313b5829c3621ce324b8e14229091b7c93f32db2e4e63126a377d2a63a3597997d4f1cba59309cb4af240ba70cebff9a23d5e3ff0cdae2cfd54e070022"
, tv_hashKeyed = "9ac301e9e39e45e3250a7e3b3df701aa0fb6889fbd80eeecf28dbc6300fbc539f3c184ca2f59780e27a576c1d1fb9772e99fd17881d02ac7dfd39675aca918453283ed8c3169085ef4a466b91c1649cc341dfdee60e32231fc34c9c4e0b9a2ba87ca8f372589c744c15fd6f985eec15e98136f25beeb4b13c4e43dc84abcc79cd4646c"
, tv_derivedKey = "379bcc61d0051dd489f686c13de00d5b14c505245103dc040d9e4dd1facab8e5114493d029bdbd295aaa744a59e31f35c7f52dba9c3642f773dd0b4262a9980a2aef811697e1305d37ba9d8b6d850ef07fe41108993180cf779aeece363704c76483458603bbeeb693cffbbe5588d1f3535dcad888893e53d977424bb707201569a8d2"
}
, TestVector
{ tv_inputLen = 7168
, tv_hash = "61da957ec2499a95d6b8023e2b0e604ec7f6b50e80a9678b89d2628e99ada77a5707c321c83361793b9af62a40f43b523df1c8633cecb4cd14d00bdc79c78fca5165b863893f6d38b02ff7236c5a9a8ad2dba87d24c547cab046c29fc5bc1ed142e1de4763613bb162a5a538e6ef05ed05199d751f9eb58d332791b8d73fb74e4fce95"
, tv_hashKeyed = "b42835e40e9d4a7f42ad8cc04f85a963a76e18198377ed84adddeaecacc6f3fca2f01d5277d69bb681c70fa8d36094f73ec06e452c80d2ff2257ed82e7ba348400989a65ee8daa7094ae0933e3d2210ac6395c4af24f91c2b590ef87d7788d7066ea3eaebca4c08a4f14b9a27644f99084c3543711b64a070b94f2c9d1d8a90d035d52"
, tv_derivedKey = "11c37a112765370c94a51415d0d651190c288566e295d505defdad895dae223730d5a5175a38841693020669c7638f40b9bc1f9f39cf98bda7a5b54ae24218a800a2116b34665aa95d846d97ea988bfcb53dd9c055d588fa21ba78996776ea6c40bc428b53c62b5f3ccf200f647a5aae8067f0ea1976391fcc72af1945100e2a6dcb88"
}
, TestVector
{ tv_inputLen = 7169
, tv_hash = "a003fc7a51754a9b3c7fae0367ab3d782dccf28855a03d435f8cfe74605e781798a8b20534be1ca9eb2ae2df3fae2ea60e48c6fb0b850b1385b5de0fe460dbe9d9f9b0d8db4435da75c601156df9d047f4ede008732eb17adc05d96180f8a73548522840779e6062d643b79478a6e8dbce68927f36ebf676ffa7d72d5f68f050b119c8"
, tv_hashKeyed = "ed9b1a922c046fdb3d423ae34e143b05ca1bf28b710432857bf738bcedbfa5113c9e28d72fcbfc020814ce3f5d4fc867f01c8f5b6caf305b3ea8a8ba2da3ab69fabcb438f19ff11f5378ad4484d75c478de425fb8e6ee809b54eec9bdb184315dc856617c09f5340451bf42fd3270a7b0b6566169f242e533777604c118a6358250f54"
, tv_derivedKey = "554b0a5efea9ef183f2f9b931b7497995d9eb26f5c5c6dad2b97d62fc5ac31d99b20652c016d88ba2a611bbd761668d5eda3e568e940faae24b0d9991c3bd25a65f770b89fdcadabcb3d1a9c1cb63e69721cacf1ae69fefdcef1e3ef41bc5312ccc17222199e47a26552c6adc460cf47a72319cb5039369d0060eaea59d6c65130f1dd"
}
, TestVector
{ tv_inputLen = 8192
, tv_hash = "aae792484c8efe4f19e2ca7d371d8c467ffb10748d8a5a1ae579948f718a2a635fe51a27db045a567c1ad51be5aa34c01c6651c4d9b5b5ac5d0fd58cf18dd61a47778566b797a8c67df7b1d60b97b19288d2d877bb2df417ace009dcb0241ca1257d62712b6a4043b4ff33f690d849da91ea3bf711ed583cb7b7a7da2839ba71309bbf"
, tv_hashKeyed = "dc9637c8845a770b4cbf76b8daec0eebf7dc2eac11498517f08d44c8fc00d58a4834464159dcbc12a0ba0c6d6eb41bac0ed6585cabfe0aca36a375e6c5480c22afdc40785c170f5a6b8a1107dbee282318d00d915ac9ed1143ad40765ec120042ee121cd2baa36250c618adaf9e27260fda2f94dea8fb6f08c04f8f10c78292aa46102"
, tv_derivedKey = "ad01d7ae4ad059b0d33baa3c01319dcf8088094d0359e5fd45d6aeaa8b2d0c3d4c9e58958553513b67f84f8eac653aeeb02ae1d5672dcecf91cd9985a0e67f4501910ecba25555395427ccc7241d70dc21c190e2aadee875e5aae6bf1912837e53411dabf7a56cbf8e4fb780432b0d7fe6cec45024a0788cf5874616407757e9e6bef7"
}
, TestVector
{ tv_inputLen = 8193
, tv_hash = "bab6c09cb8ce8cf459261398d2e7aef35700bf488116ceb94a36d0f5f1b7bc3bb2282aa69be089359ea1154b9a9286c4a56af4de975a9aa4a5c497654914d279bea60bb6d2cf7225a2fa0ff5ef56bbe4b149f3ed15860f78b4e2ad04e158e375c1e0c0b551cd7dfc82f1b155c11b6b3ed51ec9edb30d133653bb5709d1dbd55f4e1ff6"
, tv_hashKeyed = "954a2a75420c8d6547e3ba5b98d963e6fa6491addc8c023189cc519821b4a1f5f03228648fd983aef045c2fa8290934b0866b615f585149587dda2299039965328835a2b18f1d63b7e300fc76ff260b571839fe44876a4eae66cbac8c67694411ed7e09df51068a22c6e67d6d3dd2cca8ff12e3275384006c80f4db68023f24eebba57"
, tv_derivedKey = "af1e0346e389b17c23200270a64aa4e1ead98c61695d917de7d5b00491c9b0f12f20a01d6d622edf3de026a4db4e4526225debb93c1237934d71c7340bb5916158cbdafe9ac3225476b6ab57a12357db3abbad7a26c6e66290e44034fb08a20a8d0ec264f309994d2810c49cfba6989d7abb095897459f5425adb48aba07c5fb3c83c0"
}
, TestVector
{ tv_inputLen = 16384
, tv_hash = "f875d6646de28985646f34ee13be9a576fd515f76b5b0a26bb324735041ddde49d764c270176e53e97bdffa58d549073f2c660be0e81293767ed4e4929f9ad34bbb39a529334c57c4a381ffd2a6d4bfdbf1482651b172aa883cc13408fa67758a3e47503f93f87720a3177325f7823251b85275f64636a8f1d599c2e49722f42e93893"
, tv_hashKeyed = "9e9fc4eb7cf081ea7c47d1807790ed211bfec56aa25bb7037784c13c4b707b0df9e601b101e4cf63a404dfe50f2e1865bb12edc8fca166579ce0c70dba5a5c0fc960ad6f3772183416a00bd29d4c6e651ea7620bb100c9449858bf14e1ddc9ecd35725581ca5b9160de04060045993d972571c3e8f71e9d0496bfa744656861b169d65"
, tv_derivedKey = "160e18b5878cd0df1c3af85eb25a0db5344d43a6fbd7a8ef4ed98d0714c3f7e160dc0b1f09caa35f2f417b9ef309dfe5ebd67f4c9507995a531374d099cf8ae317542e885ec6f589378864d3ea98716b3bbb65ef4ab5e0ab5bb298a501f19a41ec19af84a5e6b428ecd813b1a47ed91c9657c3fba11c406bc316768b58f6802c9e9b57"
}
, TestVector
{ tv_inputLen = 31744
, tv_hash = "62b6960e1a44bcc1eb1a611a8d6235b6b4b78f32e7abc4fb4c6cdcce94895c47860cc51f2b0c28a7b77304bd55fe73af663c02d3f52ea053ba43431ca5bab7bfea2f5e9d7121770d88f70ae9649ea713087d1914f7f312147e247f87eb2d4ffef0ac978bf7b6579d57d533355aa20b8b77b13fd09748728a5cc327a8ec470f4013226f"
, tv_hashKeyed = "efa53b389ab67c593dba624d898d0f7353ab99e4ac9d42302ee64cbf9939a4193a7258db2d9cd32a7a3ecfce46144114b15c2fcb68a618a976bd74515d47be08b628be420b5e830fade7c080e351a076fbc38641ad80c736c8a18fe3c66ce12f95c61c2462a9770d60d0f77115bbcd3782b593016a4e728d4c06cee4505cb0c08a42ec"
, tv_derivedKey = "39772aef80e0ebe60596361e45b061e8f417429d529171b6764468c22928e28e9759adeb797a3fbf771b1bcea30150a020e317982bf0d6e7d14dd9f064bc11025c25f31e81bd78a921db0174f03dd481d30e93fd8e90f8b2fee209f849f2d2a52f31719a490fb0ba7aea1e09814ee912eba111a9fde9d5c274185f7bae8ba85d300a2b"
}
, TestVector
{ tv_inputLen = 102400
, tv_hash = "bc3e3d41a1146b069abffad3c0d44860cf664390afce4d9661f7902e7943e085e01c59dab908c04c3342b816941a26d69c2605ebee5ec5291cc55e15b76146e6745f0601156c3596cb75065a9c57f35585a52e1ac70f69131c23d611ce11ee4ab1ec2c009012d236648e77be9295dd0426f29b764d65de58eb7d01dd42248204f45f8e"
, tv_hashKeyed = "1c35d1a5811083fd7119f5d5d1ba027b4d01c0c6c49fb6ff2cf75393ea5db4a7f9dbdd3e1d81dcbca3ba241bb18760f207710b751846faaeb9dff8262710999a59b2aa1aca298a032d94eacfadf1aa192418eb54808db23b56e34213266aa08499a16b354f018fc4967d05f8b9d2ad87a7278337be9693fc638a3bfdbe314574ee6fc4"
, tv_derivedKey = "4652cff7a3f385a6103b5c260fc1593e13c778dbe608efb092fe7ee69df6e9c6d83a3e041bc3a48df2879f4a0a3ed40e7c961c73eff740f3117a0504c2dff4786d44fb17f1549eb0ba585e40ec29bf7732f0b7e286ff8acddc4cb1e23b87ff5d824a986458dcc6a04ac83969b80637562953df51ed1a7e90a7926924d2763778be8560"
}
]