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Add cached powers of 10
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@ -280,6 +280,55 @@ const uint64_t basic_data<T>::POWERS_OF_10_64[] = {
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10000000000000000000ull
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};
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// Normalized 64-bit significands of pow(10, k), for k = -348, -340, ..., 340.
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// These are generated by support/compute-powers.py.
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template <typename T>
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const uint64_t basic_data<T>::POW10_SIGNIFICANDS[] = {
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0xfa8fd5a0081c0288ull, 0xbaaee17fa23ebf76ull, 0x8b16fb203055ac76ull,
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0xcf42894a5dce35eaull, 0x9a6bb0aa55653b2dull, 0xe61acf033d1a45dfull,
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0xab70fe17c79ac6caull, 0xff77b1fcbebcdc4full, 0xbe5691ef416bd60cull,
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0x8dd01fad907ffc3cull, 0xd3515c2831559a83ull, 0x9d71ac8fada6c9b5ull,
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0xea9c227723ee8bcbull, 0xaecc49914078536dull, 0x823c12795db6ce57ull,
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0xc21094364dfb5637ull, 0x9096ea6f3848984full, 0xd77485cb25823ac7ull,
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0xa086cfcd97bf97f4ull, 0xef340a98172aace5ull, 0xb23867fb2a35b28eull,
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0x84c8d4dfd2c63f3bull, 0xc5dd44271ad3cdbaull, 0x936b9fcebb25c996ull,
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0xdbac6c247d62a584ull, 0xa3ab66580d5fdaf6ull, 0xf3e2f893dec3f126ull,
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0xb5b5ada8aaff80b8ull, 0x87625f056c7c4a8bull, 0xc9bcff6034c13053ull,
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0x964e858c91ba2655ull, 0xdff9772470297ebdull, 0xa6dfbd9fb8e5b88full,
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0xf8a95fcf88747d94ull, 0xb94470938fa89bcfull, 0x8a08f0f8bf0f156bull,
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0xcdb02555653131b6ull, 0x993fe2c6d07b7facull, 0xe45c10c42a2b3b06ull,
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0xaa242499697392d3ull, 0xfd87b5f28300ca0eull, 0xbce5086492111aebull,
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0x8cbccc096f5088ccull, 0xd1b71758e219652cull, 0x9c40000000000000ull,
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0xe8d4a51000000000ull, 0xad78ebc5ac620000ull, 0x813f3978f8940984ull,
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0xc097ce7bc90715b3ull, 0x8f7e32ce7bea5c70ull, 0xd5d238a4abe98068ull,
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0x9f4f2726179a2245ull, 0xed63a231d4c4fb27ull, 0xb0de65388cc8ada8ull,
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0x83c7088e1aab65dbull, 0xc45d1df942711d9aull, 0x924d692ca61be758ull,
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0xda01ee641a708deaull, 0xa26da3999aef774aull, 0xf209787bb47d6b85ull,
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0xb454e4a179dd1877ull, 0x865b86925b9bc5c2ull, 0xc83553c5c8965d3dull,
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0x952ab45cfa97a0b3ull, 0xde469fbd99a05fe3ull, 0xa59bc234db398c25ull,
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0xf6c69a72a3989f5cull, 0xb7dcbf5354e9beceull, 0x88fcf317f22241e2ull,
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0xcc20ce9bd35c78a5ull, 0x98165af37b2153dfull, 0xe2a0b5dc971f303aull,
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0xa8d9d1535ce3b396ull, 0xfb9b7cd9a4a7443cull, 0xbb764c4ca7a44410ull,
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0x8bab8eefb6409c1aull, 0xd01fef10a657842cull, 0x9b10a4e5e9913129ull,
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0xe7109bfba19c0c9dull, 0xac2820d9623bf429ull, 0x80444b5e7aa7cf85ull,
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0xbf21e44003acdd2dull, 0x8e679c2f5e44ff8full, 0xd433179d9c8cb841ull,
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0x9e19db92b4e31ba9ull, 0xeb96bf6ebadf77d9ull, 0xaf87023b9bf0ee6bull
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};
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// Binary exponents of pow(10, k), for k = -348, -340, ..., 340, corresponding
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// to significands above.
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template <typename T>
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const int16_t basic_data<T>::POW10_EXPONENTS[] = {
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-1220, -1193, -1166, -1140, -1113, -1087, -1060, -1034, -1007, -980, -954,
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-927, -901, -874, -847, -821, -794, -768, -741, -715, -688, -661,
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-635, -608, -582, -555, -529, -502, -475, -449, -422, -396, -369,
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-343, -316, -289, -263, -236, -210, -183, -157, -130, -103, -77,
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-50, -24, 3, 30, 56, 83, 109, 136, 162, 189, 216,
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242, 269, 295, 322, 348, 375, 402, 428, 455, 481, 508,
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534, 561, 588, 614, 641, 667, 694, 720, 747, 774, 800,
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827, 853, 880, 907, 933, 960, 986, 1013, 1039, 1066
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};
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FMT_FUNC fp operator*(fp x, fp y) {
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// Multiply 32-bit parts of significands.
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uint64_t mask = (1ULL << 32) - 1;
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@ -263,10 +263,10 @@ inline fp operator-(fp x, fp y) {
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fp operator*(fp x, fp y);
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// Compute k such that its cached power c_k = c_k.f * pow(2, c_k.e) satisfies
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// alpha <= c_k.e + e <= alpha + 3.
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inline int compute_cached_power_index(int e, int alpha) {
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// min_exponent <= c_k.e + e <= min_exponent + 3.
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inline int compute_cached_power_index(int e, int min_exponent) {
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constexpr double one_over_log2_10 = 0.30102999566398114; // 1 / log2(10)
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return static_cast<int>(std::ceil((alpha - e + 63) * one_over_log2_10));
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return static_cast<int>(std::ceil((min_exponent - e + 63) * one_over_log2_10));
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}
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template <typename Allocator>
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@ -795,6 +795,8 @@ template <typename T = void>
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struct FMT_API basic_data {
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static const uint32_t POWERS_OF_10_32[];
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static const uint64_t POWERS_OF_10_64[];
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static const uint64_t POW10_SIGNIFICANDS[];
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static const int16_t POW10_EXPONENTS[];
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static const char DIGITS[];
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};
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@ -8,9 +8,43 @@ min_exponent = -348
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max_exponent = 340
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step = 8
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significand_size = 64
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for exp in range(min_exponent, max_exponent + 1, step):
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n = 10 ** exp if exp >= 0 else 2 ** 2000 / 10 ** -exp
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exp_offset = 2000
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class fp:
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pass
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powers = []
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for i, exp in enumerate(range(min_exponent, max_exponent + 1, step)):
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result = fp()
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n = 10 ** exp if exp >= 0 else 2 ** exp_offset / 10 ** -exp
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k = significand_size + 1
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# Convert to binary and round.
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n = (int('{:0<{}b}'.format(n, k)[:k], 2) + 1) / 2
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print('{:0<#16x}ull'.format(n))
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binary = '{:b}'.format(n)
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result.f = (int('{:0<{}}'.format(binary[:k], k), 2) + 1) / 2
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result.e = len(binary) - (exp_offset if exp < 0 else 0) - significand_size
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powers.append(result)
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# Sanity check.
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exp_offset10 = 400
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actual = result.f * 10 ** exp_offset10
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if result.e > 0:
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actual *= 2 ** result.e
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else:
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for j in range(-result.e):
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actual /= 2
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expected = 10 ** (exp_offset10 + exp)
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precision = len('{}'.format(expected)) - len('{}'.format(actual - expected))
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if precision < 19:
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print('low precision:', precision)
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exit(1)
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print('Significands:', end='')
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for i, fp in enumerate(powers):
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if i % 3 == 0:
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print(end='\n ')
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print(' {:0<#16x}ull'.format(fp.f, ), end=',')
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print('\n\nExponents:', end='')
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for i, fp in enumerate(powers):
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if i % 11 == 0:
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print(end='\n ')
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print(' {:5}'.format(fp.e), end=',')
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