git-annex/Utility/Hash.hs

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{- Convenience wrapper around cryptonite's hashing.
-
- Copyright 2013-2021 Joey Hess <id@joeyh.name>
-
- License: BSD-2-clause
-}
{-# LANGUAGE BangPatterns, PackageImports #-}
{-# LANGUAGE CPP #-}
module Utility.Hash (
sha1,
sha1_context,
sha1s,
sha2_224,
sha2_224_context,
sha2_256,
sha2_256_context,
sha2_384,
sha2_384_context,
sha2_512,
sha2_512_context,
sha3_224,
sha3_224_context,
sha3_256,
sha3_256_context,
sha3_384,
sha3_384_context,
sha3_512,
sha3_512_context,
skein256,
skein256_context,
skein512,
skein512_context,
blake2s_160,
blake2s_160_context,
blake2s_224,
blake2s_224_context,
blake2s_256,
blake2s_256_context,
blake2sp_224,
blake2sp_224_context,
blake2sp_256,
blake2sp_256_context,
blake2b_160,
blake2b_160_context,
blake2b_224,
blake2b_224_context,
blake2b_256,
blake2b_256_context,
blake2b_384,
blake2b_384_context,
blake2b_512,
blake2b_512_context,
blake2bp_512,
blake2bp_512_context,
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md5,
md5_context,
md5s,
hashUpdate,
hashFinalize,
Digest,
HashAlgorithm,
Context,
props_hashes_stable,
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Mac(..),
calcMac,
props_macs_stable,
IncrementalHasher(..),
mkIncrementalHasher,
IncrementalVerifier(..),
mkIncrementalVerifier,
) where
Use cryptohash rather than SHA for hashing. This is a massive win on OSX, which doesn't have a sha256sum normally. Only use external hash commands when the file is > 1 mb, since cryptohash is quite close to them in speed. SHA is still used to calculate HMACs. I don't quite understand cryptohash's API for those. Used the following benchmark to arrive at the 1 mb number. 1 mb file: benchmarking sha256/internal mean: 13.86696 ms, lb 13.83010 ms, ub 13.93453 ms, ci 0.950 std dev: 249.3235 us, lb 162.0448 us, ub 458.1744 us, ci 0.950 found 5 outliers among 100 samples (5.0%) 4 (4.0%) high mild 1 (1.0%) high severe variance introduced by outliers: 10.415% variance is moderately inflated by outliers benchmarking sha256/external mean: 14.20670 ms, lb 14.17237 ms, ub 14.27004 ms, ci 0.950 std dev: 230.5448 us, lb 150.7310 us, ub 427.6068 us, ci 0.950 found 3 outliers among 100 samples (3.0%) 2 (2.0%) high mild 1 (1.0%) high severe 2 mb file: benchmarking sha256/internal mean: 26.44270 ms, lb 26.23701 ms, ub 26.63414 ms, ci 0.950 std dev: 1.012303 ms, lb 925.8921 us, ub 1.122267 ms, ci 0.950 variance introduced by outliers: 35.540% variance is moderately inflated by outliers benchmarking sha256/external mean: 26.84521 ms, lb 26.77644 ms, ub 26.91433 ms, ci 0.950 std dev: 347.7867 us, lb 210.6283 us, ub 571.3351 us, ci 0.950 found 6 outliers among 100 samples (6.0%) import Crypto.Hash import Data.ByteString.Lazy as L import Criterion.Main import Common testfile :: FilePath testfile = "/run/shm/data" -- on ram disk main = defaultMain [ bgroup "sha256" [ bench "internal" $ whnfIO internal , bench "external" $ whnfIO external ] ] sha256 :: L.ByteString -> Digest SHA256 sha256 = hashlazy internal :: IO String internal = show . sha256 <$> L.readFile testfile external :: IO String external = do s <- readProcess "sha256sum" [testfile] return $ fst $ separate (== ' ') s
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import qualified Data.ByteString as S
Use cryptohash rather than SHA for hashing. This is a massive win on OSX, which doesn't have a sha256sum normally. Only use external hash commands when the file is > 1 mb, since cryptohash is quite close to them in speed. SHA is still used to calculate HMACs. I don't quite understand cryptohash's API for those. Used the following benchmark to arrive at the 1 mb number. 1 mb file: benchmarking sha256/internal mean: 13.86696 ms, lb 13.83010 ms, ub 13.93453 ms, ci 0.950 std dev: 249.3235 us, lb 162.0448 us, ub 458.1744 us, ci 0.950 found 5 outliers among 100 samples (5.0%) 4 (4.0%) high mild 1 (1.0%) high severe variance introduced by outliers: 10.415% variance is moderately inflated by outliers benchmarking sha256/external mean: 14.20670 ms, lb 14.17237 ms, ub 14.27004 ms, ci 0.950 std dev: 230.5448 us, lb 150.7310 us, ub 427.6068 us, ci 0.950 found 3 outliers among 100 samples (3.0%) 2 (2.0%) high mild 1 (1.0%) high severe 2 mb file: benchmarking sha256/internal mean: 26.44270 ms, lb 26.23701 ms, ub 26.63414 ms, ci 0.950 std dev: 1.012303 ms, lb 925.8921 us, ub 1.122267 ms, ci 0.950 variance introduced by outliers: 35.540% variance is moderately inflated by outliers benchmarking sha256/external mean: 26.84521 ms, lb 26.77644 ms, ub 26.91433 ms, ci 0.950 std dev: 347.7867 us, lb 210.6283 us, ub 571.3351 us, ci 0.950 found 6 outliers among 100 samples (6.0%) import Crypto.Hash import Data.ByteString.Lazy as L import Criterion.Main import Common testfile :: FilePath testfile = "/run/shm/data" -- on ram disk main = defaultMain [ bgroup "sha256" [ bench "internal" $ whnfIO internal , bench "external" $ whnfIO external ] ] sha256 :: L.ByteString -> Digest SHA256 sha256 = hashlazy internal :: IO String internal = show . sha256 <$> L.readFile testfile external :: IO String external = do s <- readProcess "sha256sum" [testfile] return $ fst $ separate (== ' ') s
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import qualified Data.ByteString.Lazy as L
import qualified Data.Text as T
import qualified Data.Text.Encoding as T
import Data.IORef
#ifdef WITH_CRYPTON
import "crypton" Crypto.MAC.HMAC hiding (Context)
import "crypton" Crypto.Hash
#else
import "cryptonite" Crypto.MAC.HMAC hiding (Context)
import "cryptonite" Crypto.Hash
#endif
Use cryptohash rather than SHA for hashing. This is a massive win on OSX, which doesn't have a sha256sum normally. Only use external hash commands when the file is > 1 mb, since cryptohash is quite close to them in speed. SHA is still used to calculate HMACs. I don't quite understand cryptohash's API for those. Used the following benchmark to arrive at the 1 mb number. 1 mb file: benchmarking sha256/internal mean: 13.86696 ms, lb 13.83010 ms, ub 13.93453 ms, ci 0.950 std dev: 249.3235 us, lb 162.0448 us, ub 458.1744 us, ci 0.950 found 5 outliers among 100 samples (5.0%) 4 (4.0%) high mild 1 (1.0%) high severe variance introduced by outliers: 10.415% variance is moderately inflated by outliers benchmarking sha256/external mean: 14.20670 ms, lb 14.17237 ms, ub 14.27004 ms, ci 0.950 std dev: 230.5448 us, lb 150.7310 us, ub 427.6068 us, ci 0.950 found 3 outliers among 100 samples (3.0%) 2 (2.0%) high mild 1 (1.0%) high severe 2 mb file: benchmarking sha256/internal mean: 26.44270 ms, lb 26.23701 ms, ub 26.63414 ms, ci 0.950 std dev: 1.012303 ms, lb 925.8921 us, ub 1.122267 ms, ci 0.950 variance introduced by outliers: 35.540% variance is moderately inflated by outliers benchmarking sha256/external mean: 26.84521 ms, lb 26.77644 ms, ub 26.91433 ms, ci 0.950 std dev: 347.7867 us, lb 210.6283 us, ub 571.3351 us, ci 0.950 found 6 outliers among 100 samples (6.0%) import Crypto.Hash import Data.ByteString.Lazy as L import Criterion.Main import Common testfile :: FilePath testfile = "/run/shm/data" -- on ram disk main = defaultMain [ bgroup "sha256" [ bench "internal" $ whnfIO internal , bench "external" $ whnfIO external ] ] sha256 :: L.ByteString -> Digest SHA256 sha256 = hashlazy internal :: IO String internal = show . sha256 <$> L.readFile testfile external :: IO String external = do s <- readProcess "sha256sum" [testfile] return $ fst $ separate (== ' ') s
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sha1 :: L.ByteString -> Digest SHA1
sha1 = hashlazy
sha1_context :: Context SHA1
sha1_context = hashInit
sha1s :: S.ByteString -> Digest SHA1
sha1s = hash
sha2_224 :: L.ByteString -> Digest SHA224
sha2_224 = hashlazy
sha2_224_context :: Context SHA224
sha2_224_context = hashInit
sha2_256 :: L.ByteString -> Digest SHA256
sha2_256 = hashlazy
Use cryptohash rather than SHA for hashing. This is a massive win on OSX, which doesn't have a sha256sum normally. Only use external hash commands when the file is > 1 mb, since cryptohash is quite close to them in speed. SHA is still used to calculate HMACs. I don't quite understand cryptohash's API for those. Used the following benchmark to arrive at the 1 mb number. 1 mb file: benchmarking sha256/internal mean: 13.86696 ms, lb 13.83010 ms, ub 13.93453 ms, ci 0.950 std dev: 249.3235 us, lb 162.0448 us, ub 458.1744 us, ci 0.950 found 5 outliers among 100 samples (5.0%) 4 (4.0%) high mild 1 (1.0%) high severe variance introduced by outliers: 10.415% variance is moderately inflated by outliers benchmarking sha256/external mean: 14.20670 ms, lb 14.17237 ms, ub 14.27004 ms, ci 0.950 std dev: 230.5448 us, lb 150.7310 us, ub 427.6068 us, ci 0.950 found 3 outliers among 100 samples (3.0%) 2 (2.0%) high mild 1 (1.0%) high severe 2 mb file: benchmarking sha256/internal mean: 26.44270 ms, lb 26.23701 ms, ub 26.63414 ms, ci 0.950 std dev: 1.012303 ms, lb 925.8921 us, ub 1.122267 ms, ci 0.950 variance introduced by outliers: 35.540% variance is moderately inflated by outliers benchmarking sha256/external mean: 26.84521 ms, lb 26.77644 ms, ub 26.91433 ms, ci 0.950 std dev: 347.7867 us, lb 210.6283 us, ub 571.3351 us, ci 0.950 found 6 outliers among 100 samples (6.0%) import Crypto.Hash import Data.ByteString.Lazy as L import Criterion.Main import Common testfile :: FilePath testfile = "/run/shm/data" -- on ram disk main = defaultMain [ bgroup "sha256" [ bench "internal" $ whnfIO internal , bench "external" $ whnfIO external ] ] sha256 :: L.ByteString -> Digest SHA256 sha256 = hashlazy internal :: IO String internal = show . sha256 <$> L.readFile testfile external :: IO String external = do s <- readProcess "sha256sum" [testfile] return $ fst $ separate (== ' ') s
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sha2_256_context :: Context SHA256
sha2_256_context = hashInit
sha2_384 :: L.ByteString -> Digest SHA384
sha2_384 = hashlazy
Use cryptohash rather than SHA for hashing. This is a massive win on OSX, which doesn't have a sha256sum normally. Only use external hash commands when the file is > 1 mb, since cryptohash is quite close to them in speed. SHA is still used to calculate HMACs. I don't quite understand cryptohash's API for those. Used the following benchmark to arrive at the 1 mb number. 1 mb file: benchmarking sha256/internal mean: 13.86696 ms, lb 13.83010 ms, ub 13.93453 ms, ci 0.950 std dev: 249.3235 us, lb 162.0448 us, ub 458.1744 us, ci 0.950 found 5 outliers among 100 samples (5.0%) 4 (4.0%) high mild 1 (1.0%) high severe variance introduced by outliers: 10.415% variance is moderately inflated by outliers benchmarking sha256/external mean: 14.20670 ms, lb 14.17237 ms, ub 14.27004 ms, ci 0.950 std dev: 230.5448 us, lb 150.7310 us, ub 427.6068 us, ci 0.950 found 3 outliers among 100 samples (3.0%) 2 (2.0%) high mild 1 (1.0%) high severe 2 mb file: benchmarking sha256/internal mean: 26.44270 ms, lb 26.23701 ms, ub 26.63414 ms, ci 0.950 std dev: 1.012303 ms, lb 925.8921 us, ub 1.122267 ms, ci 0.950 variance introduced by outliers: 35.540% variance is moderately inflated by outliers benchmarking sha256/external mean: 26.84521 ms, lb 26.77644 ms, ub 26.91433 ms, ci 0.950 std dev: 347.7867 us, lb 210.6283 us, ub 571.3351 us, ci 0.950 found 6 outliers among 100 samples (6.0%) import Crypto.Hash import Data.ByteString.Lazy as L import Criterion.Main import Common testfile :: FilePath testfile = "/run/shm/data" -- on ram disk main = defaultMain [ bgroup "sha256" [ bench "internal" $ whnfIO internal , bench "external" $ whnfIO external ] ] sha256 :: L.ByteString -> Digest SHA256 sha256 = hashlazy internal :: IO String internal = show . sha256 <$> L.readFile testfile external :: IO String external = do s <- readProcess "sha256sum" [testfile] return $ fst $ separate (== ' ') s
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sha2_384_context :: Context SHA384
sha2_384_context = hashInit
sha2_512 :: L.ByteString -> Digest SHA512
sha2_512 = hashlazy
Use cryptohash rather than SHA for hashing. This is a massive win on OSX, which doesn't have a sha256sum normally. Only use external hash commands when the file is > 1 mb, since cryptohash is quite close to them in speed. SHA is still used to calculate HMACs. I don't quite understand cryptohash's API for those. Used the following benchmark to arrive at the 1 mb number. 1 mb file: benchmarking sha256/internal mean: 13.86696 ms, lb 13.83010 ms, ub 13.93453 ms, ci 0.950 std dev: 249.3235 us, lb 162.0448 us, ub 458.1744 us, ci 0.950 found 5 outliers among 100 samples (5.0%) 4 (4.0%) high mild 1 (1.0%) high severe variance introduced by outliers: 10.415% variance is moderately inflated by outliers benchmarking sha256/external mean: 14.20670 ms, lb 14.17237 ms, ub 14.27004 ms, ci 0.950 std dev: 230.5448 us, lb 150.7310 us, ub 427.6068 us, ci 0.950 found 3 outliers among 100 samples (3.0%) 2 (2.0%) high mild 1 (1.0%) high severe 2 mb file: benchmarking sha256/internal mean: 26.44270 ms, lb 26.23701 ms, ub 26.63414 ms, ci 0.950 std dev: 1.012303 ms, lb 925.8921 us, ub 1.122267 ms, ci 0.950 variance introduced by outliers: 35.540% variance is moderately inflated by outliers benchmarking sha256/external mean: 26.84521 ms, lb 26.77644 ms, ub 26.91433 ms, ci 0.950 std dev: 347.7867 us, lb 210.6283 us, ub 571.3351 us, ci 0.950 found 6 outliers among 100 samples (6.0%) import Crypto.Hash import Data.ByteString.Lazy as L import Criterion.Main import Common testfile :: FilePath testfile = "/run/shm/data" -- on ram disk main = defaultMain [ bgroup "sha256" [ bench "internal" $ whnfIO internal , bench "external" $ whnfIO external ] ] sha256 :: L.ByteString -> Digest SHA256 sha256 = hashlazy internal :: IO String internal = show . sha256 <$> L.readFile testfile external :: IO String external = do s <- readProcess "sha256sum" [testfile] return $ fst $ separate (== ' ') s
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sha2_512_context :: Context SHA512
sha2_512_context = hashInit
sha3_224 :: L.ByteString -> Digest SHA3_224
sha3_224 = hashlazy
Use cryptohash rather than SHA for hashing. This is a massive win on OSX, which doesn't have a sha256sum normally. Only use external hash commands when the file is > 1 mb, since cryptohash is quite close to them in speed. SHA is still used to calculate HMACs. I don't quite understand cryptohash's API for those. Used the following benchmark to arrive at the 1 mb number. 1 mb file: benchmarking sha256/internal mean: 13.86696 ms, lb 13.83010 ms, ub 13.93453 ms, ci 0.950 std dev: 249.3235 us, lb 162.0448 us, ub 458.1744 us, ci 0.950 found 5 outliers among 100 samples (5.0%) 4 (4.0%) high mild 1 (1.0%) high severe variance introduced by outliers: 10.415% variance is moderately inflated by outliers benchmarking sha256/external mean: 14.20670 ms, lb 14.17237 ms, ub 14.27004 ms, ci 0.950 std dev: 230.5448 us, lb 150.7310 us, ub 427.6068 us, ci 0.950 found 3 outliers among 100 samples (3.0%) 2 (2.0%) high mild 1 (1.0%) high severe 2 mb file: benchmarking sha256/internal mean: 26.44270 ms, lb 26.23701 ms, ub 26.63414 ms, ci 0.950 std dev: 1.012303 ms, lb 925.8921 us, ub 1.122267 ms, ci 0.950 variance introduced by outliers: 35.540% variance is moderately inflated by outliers benchmarking sha256/external mean: 26.84521 ms, lb 26.77644 ms, ub 26.91433 ms, ci 0.950 std dev: 347.7867 us, lb 210.6283 us, ub 571.3351 us, ci 0.950 found 6 outliers among 100 samples (6.0%) import Crypto.Hash import Data.ByteString.Lazy as L import Criterion.Main import Common testfile :: FilePath testfile = "/run/shm/data" -- on ram disk main = defaultMain [ bgroup "sha256" [ bench "internal" $ whnfIO internal , bench "external" $ whnfIO external ] ] sha256 :: L.ByteString -> Digest SHA256 sha256 = hashlazy internal :: IO String internal = show . sha256 <$> L.readFile testfile external :: IO String external = do s <- readProcess "sha256sum" [testfile] return $ fst $ separate (== ' ') s
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sha3_224_context :: Context SHA3_224
sha3_224_context = hashInit
sha3_256 :: L.ByteString -> Digest SHA3_256
sha3_256 = hashlazy
sha3_256_context :: Context SHA3_256
sha3_256_context = hashInit
sha3_384 :: L.ByteString -> Digest SHA3_384
sha3_384 = hashlazy
sha3_384_context :: Context SHA3_384
sha3_384_context = hashInit
sha3_512 :: L.ByteString -> Digest SHA3_512
sha3_512 = hashlazy
Use cryptohash rather than SHA for hashing. This is a massive win on OSX, which doesn't have a sha256sum normally. Only use external hash commands when the file is > 1 mb, since cryptohash is quite close to them in speed. SHA is still used to calculate HMACs. I don't quite understand cryptohash's API for those. Used the following benchmark to arrive at the 1 mb number. 1 mb file: benchmarking sha256/internal mean: 13.86696 ms, lb 13.83010 ms, ub 13.93453 ms, ci 0.950 std dev: 249.3235 us, lb 162.0448 us, ub 458.1744 us, ci 0.950 found 5 outliers among 100 samples (5.0%) 4 (4.0%) high mild 1 (1.0%) high severe variance introduced by outliers: 10.415% variance is moderately inflated by outliers benchmarking sha256/external mean: 14.20670 ms, lb 14.17237 ms, ub 14.27004 ms, ci 0.950 std dev: 230.5448 us, lb 150.7310 us, ub 427.6068 us, ci 0.950 found 3 outliers among 100 samples (3.0%) 2 (2.0%) high mild 1 (1.0%) high severe 2 mb file: benchmarking sha256/internal mean: 26.44270 ms, lb 26.23701 ms, ub 26.63414 ms, ci 0.950 std dev: 1.012303 ms, lb 925.8921 us, ub 1.122267 ms, ci 0.950 variance introduced by outliers: 35.540% variance is moderately inflated by outliers benchmarking sha256/external mean: 26.84521 ms, lb 26.77644 ms, ub 26.91433 ms, ci 0.950 std dev: 347.7867 us, lb 210.6283 us, ub 571.3351 us, ci 0.950 found 6 outliers among 100 samples (6.0%) import Crypto.Hash import Data.ByteString.Lazy as L import Criterion.Main import Common testfile :: FilePath testfile = "/run/shm/data" -- on ram disk main = defaultMain [ bgroup "sha256" [ bench "internal" $ whnfIO internal , bench "external" $ whnfIO external ] ] sha256 :: L.ByteString -> Digest SHA256 sha256 = hashlazy internal :: IO String internal = show . sha256 <$> L.readFile testfile external :: IO String external = do s <- readProcess "sha256sum" [testfile] return $ fst $ separate (== ' ') s
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sha3_512_context :: Context SHA3_512
sha3_512_context = hashInit
skein256 :: L.ByteString -> Digest Skein256_256
skein256 = hashlazy
Use cryptohash rather than SHA for hashing. This is a massive win on OSX, which doesn't have a sha256sum normally. Only use external hash commands when the file is > 1 mb, since cryptohash is quite close to them in speed. SHA is still used to calculate HMACs. I don't quite understand cryptohash's API for those. Used the following benchmark to arrive at the 1 mb number. 1 mb file: benchmarking sha256/internal mean: 13.86696 ms, lb 13.83010 ms, ub 13.93453 ms, ci 0.950 std dev: 249.3235 us, lb 162.0448 us, ub 458.1744 us, ci 0.950 found 5 outliers among 100 samples (5.0%) 4 (4.0%) high mild 1 (1.0%) high severe variance introduced by outliers: 10.415% variance is moderately inflated by outliers benchmarking sha256/external mean: 14.20670 ms, lb 14.17237 ms, ub 14.27004 ms, ci 0.950 std dev: 230.5448 us, lb 150.7310 us, ub 427.6068 us, ci 0.950 found 3 outliers among 100 samples (3.0%) 2 (2.0%) high mild 1 (1.0%) high severe 2 mb file: benchmarking sha256/internal mean: 26.44270 ms, lb 26.23701 ms, ub 26.63414 ms, ci 0.950 std dev: 1.012303 ms, lb 925.8921 us, ub 1.122267 ms, ci 0.950 variance introduced by outliers: 35.540% variance is moderately inflated by outliers benchmarking sha256/external mean: 26.84521 ms, lb 26.77644 ms, ub 26.91433 ms, ci 0.950 std dev: 347.7867 us, lb 210.6283 us, ub 571.3351 us, ci 0.950 found 6 outliers among 100 samples (6.0%) import Crypto.Hash import Data.ByteString.Lazy as L import Criterion.Main import Common testfile :: FilePath testfile = "/run/shm/data" -- on ram disk main = defaultMain [ bgroup "sha256" [ bench "internal" $ whnfIO internal , bench "external" $ whnfIO external ] ] sha256 :: L.ByteString -> Digest SHA256 sha256 = hashlazy internal :: IO String internal = show . sha256 <$> L.readFile testfile external :: IO String external = do s <- readProcess "sha256sum" [testfile] return $ fst $ separate (== ' ') s
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skein256_context :: Context Skein256_256
skein256_context = hashInit
skein512 :: L.ByteString -> Digest Skein512_512
skein512 = hashlazy
skein512_context :: Context Skein512_512
skein512_context = hashInit
blake2s_160 :: L.ByteString -> Digest Blake2s_160
blake2s_160 = hashlazy
blake2s_160_context :: Context Blake2s_160
blake2s_160_context = hashInit
blake2s_224 :: L.ByteString -> Digest Blake2s_224
blake2s_224 = hashlazy
blake2s_224_context :: Context Blake2s_224
blake2s_224_context = hashInit
blake2s_256 :: L.ByteString -> Digest Blake2s_256
blake2s_256 = hashlazy
blake2s_256_context :: Context Blake2s_256
blake2s_256_context = hashInit
blake2sp_224 :: L.ByteString -> Digest Blake2sp_224
blake2sp_224 = hashlazy
blake2sp_224_context :: Context Blake2sp_224
blake2sp_224_context = hashInit
blake2sp_256 :: L.ByteString -> Digest Blake2sp_256
blake2sp_256 = hashlazy
blake2sp_256_context :: Context Blake2sp_256
blake2sp_256_context = hashInit
blake2b_160 :: L.ByteString -> Digest Blake2b_160
blake2b_160 = hashlazy
blake2b_160_context :: Context Blake2b_160
blake2b_160_context = hashInit
blake2b_224 :: L.ByteString -> Digest Blake2b_224
blake2b_224 = hashlazy
blake2b_224_context :: Context Blake2b_224
blake2b_224_context = hashInit
blake2b_256 :: L.ByteString -> Digest Blake2b_256
blake2b_256 = hashlazy
blake2b_256_context :: Context Blake2b_256
blake2b_256_context = hashInit
blake2b_384 :: L.ByteString -> Digest Blake2b_384
blake2b_384 = hashlazy
blake2b_384_context :: Context Blake2b_384
blake2b_384_context = hashInit
blake2b_512 :: L.ByteString -> Digest Blake2b_512
blake2b_512 = hashlazy
blake2b_512_context :: Context Blake2b_512
blake2b_512_context = hashInit
blake2bp_512 :: L.ByteString -> Digest Blake2bp_512
blake2bp_512 = hashlazy
blake2bp_512_context :: Context Blake2bp_512
blake2bp_512_context = hashInit
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md5 :: L.ByteString -> Digest MD5
md5 = hashlazy
md5_context :: Context MD5
md5_context = hashInit
md5s :: S.ByteString -> Digest MD5
md5s = hash
{- Check that all the hashes continue to hash the same. -}
props_hashes_stable :: [(String, Bool)]
props_hashes_stable = map (\(desc, hasher, result) -> (desc ++ " stable", hasher foo == result))
[ ("sha1", show . sha1, "0beec7b5ea3f0fdbc95d0dd47f3c5bc275da8a33")
, ("sha2_224", show . sha2_224, "0808f64e60d58979fcb676c96ec938270dea42445aeefcd3a4e6f8db")
, ("sha2_256", show . sha2_256, "2c26b46b68ffc68ff99b453c1d30413413422d706483bfa0f98a5e886266e7ae")
, ("sha2_384", show . sha2_384, "98c11ffdfdd540676b1a137cb1a22b2a70350c9a44171d6b1180c6be5cbb2ee3f79d532c8a1dd9ef2e8e08e752a3babb")
, ("sha2_512", show . sha2_512, "f7fbba6e0636f890e56fbbf3283e524c6fa3204ae298382d624741d0dc6638326e282c41be5e4254d8820772c5518a2c5a8c0c7f7eda19594a7eb539453e1ed7")
, ("skein256", show . skein256, "a04efd9a0aeed6ede40fe5ce0d9361ae7b7d88b524aa19917b9315f1ecf00d33")
, ("skein512", show . skein512, "fd8956898113510180aa4658e6c0ac85bd74fb47f4a4ba264a6b705d7a8e8526756e75aecda12cff4f1aca1a4c2830fbf57f458012a66b2b15a3dd7d251690a7")
, ("sha3_224", show . sha3_224, "f4f6779e153c391bbd29c95e72b0708e39d9166c7cea51d1f10ef58a")
, ("sha3_256", show . sha3_256, "76d3bc41c9f588f7fcd0d5bf4718f8f84b1c41b20882703100b9eb9413807c01")
, ("sha3_384", show . sha3_384, "665551928d13b7d84ee02734502b018d896a0fb87eed5adb4c87ba91bbd6489410e11b0fbcc06ed7d0ebad559e5d3bb5")
, ("sha3_512", show . sha3_512, "4bca2b137edc580fe50a88983ef860ebaca36c857b1f492839d6d7392452a63c82cbebc68e3b70a2a1480b4bb5d437a7cba6ecf9d89f9ff3ccd14cd6146ea7e7")
, ("blake2s_160", show . blake2s_160, "52fb63154f958a5c56864597273ea759e52c6f00")
, ("blake2s_224", show . blake2s_224, "9466668503ac415d87b8e1dfd7f348ab273ac1d5e4f774fced5fdb55")
, ("blake2s_256", show . blake2s_256, "08d6cad88075de8f192db097573d0e829411cd91eb6ec65e8fc16c017edfdb74")
, ("blake2sp_224", show . blake2sp_224, "8492d356fbac99f046f55e114301f7596649cb590e5b083d1a19dcdb")
, ("blake2sp_256", show . blake2sp_256, "050dc5786037ea72cb9ed9d0324afcab03c97ec02e8c47368fc5dfb4cf49d8c9")
, ("blake2b_160", show . blake2b_160, "983ceba2afea8694cc933336b27b907f90c53a88")
, ("blake2b_224", show . blake2b_224, "853986b3fe231d795261b4fb530e1a9188db41e460ec4ca59aafef78")
, ("blake2b_256", show . blake2b_256, "b8fe9f7f6255a6fa08f668ab632a8d081ad87983c77cd274e48ce450f0b349fd")
, ("blake2b_384", show . blake2b_384, "e629ee880953d32c8877e479e3b4cb0a4c9d5805e2b34c675b5a5863c4ad7d64bb2a9b8257fac9d82d289b3d39eb9cc2")
, ("blake2b_512", show . blake2b_512, "ca002330e69d3e6b84a46a56a6533fd79d51d97a3bb7cad6c2ff43b354185d6dc1e723fb3db4ae0737e120378424c714bb982d9dc5bbd7a0ab318240ddd18f8d")
, ("blake2bp_512", show . blake2bp_512, "8ca9ccee7946afcb686fe7556628b5ba1bf9a691da37ca58cd049354d99f37042c007427e5f219b9ab5063707ec6823872dee413ee014b4d02f2ebb6abb5f643")
, ("md5", show . md5, "acbd18db4cc2f85cedef654fccc4a4d8")
]
where
foo = L.fromChunks [T.encodeUtf8 $ T.pack "foo"]
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data Mac = HmacSha1 | HmacSha224 | HmacSha256 | HmacSha384 | HmacSha512
deriving (Eq)
calcMac
:: Mac -- ^ MAC
-> S.ByteString -- ^ secret key
-> S.ByteString -- ^ message
-> String -- ^ MAC'ed message, in hexadecimal
calcMac mac = case mac of
HmacSha1 -> use SHA1
HmacSha224 -> use SHA224
HmacSha256 -> use SHA256
HmacSha384 -> use SHA384
HmacSha512 -> use SHA512
where
use alg k m = show (hmacGetDigest (hmacWitnessAlg alg k m))
hmacWitnessAlg :: HashAlgorithm a => a -> S.ByteString -> S.ByteString -> HMAC a
hmacWitnessAlg _ = hmac
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-- Check that all the MACs continue to produce the same.
props_macs_stable :: [(String, Bool)]
props_macs_stable = map (\(desc, mac, result) -> (desc ++ " stable", calcMac mac key msg == result))
[ ("HmacSha1", HmacSha1, "46b4ec586117154dacd49d664e5d63fdc88efb51")
, ("HmacSha224", HmacSha224, "4c1f774863acb63b7f6e9daa9b5c543fa0d5eccf61e3ffc3698eacdd")
, ("HmacSha256", HmacSha256, "f9320baf0249169e73850cd6156ded0106e2bb6ad8cab01b7bbbebe6d1065317")
, ("HmacSha384", HmacSha384, "3d10d391bee2364df2c55cf605759373e1b5a4ca9355d8f3fe42970471eca2e422a79271a0e857a69923839015877fc6")
, ("HmacSha512", HmacSha512, "114682914c5d017dfe59fdc804118b56a3a652a0b8870759cf9e792ed7426b08197076bf7d01640b1b0684df79e4b67e37485669e8ce98dbab60445f0db94fce")
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]
where
key = T.encodeUtf8 $ T.pack "foo"
msg = T.encodeUtf8 $ T.pack "bar"
data IncrementalHasher = IncrementalHasher
{ updateIncrementalHasher :: S.ByteString -> IO ()
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-- ^ Called repeatedly on each piece of the content.
, finalizeIncrementalHasher :: IO (Maybe String)
-- ^ Called once the full content has been sent, returns
-- the hash. (Nothing if unableIncremental was called.)
, unableIncrementalHasher :: IO ()
-- ^ Call if the incremental hashing is unable to be done.
, positionIncrementalHasher :: IO (Maybe Integer)
-- ^ Returns the number of bytes that have been fed to this
-- incremental hasher so far. (Nothing if unableIncremental was
-- called.)
, descIncrementalHasher :: String
}
mkIncrementalHasher :: HashAlgorithm h => Context h -> String -> IO IncrementalHasher
mkIncrementalHasher ctx desc = do
v <- newIORef (Just (ctx, 0))
return $ IncrementalHasher
{ updateIncrementalHasher = \b ->
modifyIORef' v $ \case
(Just (ctx', n)) ->
let !ctx'' = hashUpdate ctx' b
!n' = n + fromIntegral (S.length b)
in (Just (ctx'', n'))
Nothing -> Nothing
, finalizeIncrementalHasher =
readIORef v >>= \case
(Just (ctx', _)) -> do
let digest = hashFinalize ctx'
return $ Just $ show digest
Nothing -> return Nothing
, unableIncrementalHasher = writeIORef v Nothing
, positionIncrementalHasher = readIORef v >>= \case
Just (_, n) -> return (Just n)
Nothing -> return Nothing
, descIncrementalHasher = desc
}
data IncrementalVerifier = IncrementalVerifier
{ updateIncrementalVerifier :: S.ByteString -> IO ()
, finalizeIncrementalVerifier :: IO (Maybe Bool)
, unableIncrementalVerifier :: IO ()
, positionIncrementalVerifier :: IO (Maybe Integer)
, descIncrementalVerifier :: String
}
mkIncrementalVerifier :: HashAlgorithm h => Context h -> String -> (String -> Bool) -> IO IncrementalVerifier
mkIncrementalVerifier ctx desc samechecksum = do
hasher <- mkIncrementalHasher ctx desc
return $ IncrementalVerifier
{ updateIncrementalVerifier = updateIncrementalHasher hasher
, finalizeIncrementalVerifier =
maybe Nothing (Just . samechecksum)
<$> finalizeIncrementalHasher hasher
, unableIncrementalVerifier = unableIncrementalHasher hasher
, positionIncrementalVerifier = positionIncrementalHasher hasher
, descIncrementalVerifier = descIncrementalHasher hasher
}