| //===-- Implementation header for exp ---------------------------*- C++ -*-===// | |
| // | |
| // Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. | |
| // See https://llvm.org/LICENSE.txt for license information. | |
| // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | |
| // | |
| //===----------------------------------------------------------------------===// | |
| #ifndef LLVM_LIBC_SRC___SUPPORT_MATH_EXP_H | |
| #define LLVM_LIBC_SRC___SUPPORT_MATH_EXP_H | |
| #include "exp_constants.h" | |
| #include "exp_utils.h" | |
| #include "src/__support/CPP/bit.h" | |
| #include "src/__support/CPP/optional.h" | |
| #include "src/__support/FPUtil/FEnvImpl.h" | |
| #include "src/__support/FPUtil/FPBits.h" | |
| #include "src/__support/FPUtil/PolyEval.h" | |
| #include "src/__support/FPUtil/double_double.h" | |
| #include "src/__support/FPUtil/dyadic_float.h" | |
| #include "src/__support/FPUtil/multiply_add.h" | |
| #include "src/__support/FPUtil/nearest_integer.h" | |
| #include "src/__support/FPUtil/rounding_mode.h" | |
| #include "src/__support/FPUtil/triple_double.h" | |
| #include "src/__support/common.h" | |
| #include "src/__support/integer_literals.h" | |
| #include "src/__support/macros/config.h" | |
| #include "src/__support/macros/optimization.h" // LIBC_UNLIKELY | |
| namespace LIBC_NAMESPACE_DECL { | |
| namespace math { | |
| namespace exp_internal { | |
| using fputil::DoubleDouble; | |
| using fputil::TripleDouble; | |
| using DFloat128 = typename fputil::DyadicFloat<128>; | |
| using LIBC_NAMESPACE::operator""_u128; | |
| // log2(e) | |
| LIBC_INLINE_VAR constexpr double LOG2_E = 0x1.71547652b82fep+0; | |
| // Error bounds: | |
| // Errors when using double precision. | |
| LIBC_INLINE_VAR constexpr double EXP_ERR_D = 0x1.8p-63; | |
| #ifndef LIBC_MATH_HAS_SKIP_ACCURATE_PASS | |
| // Errors when using double-double precision. | |
| LIBC_INLINE_VAR constexpr double EXP_ERR_DD = 0x1.0p-99; | |
| #endif // LIBC_MATH_HAS_SKIP_ACCURATE_PASS | |
| // -2^-12 * log(2) | |
| // > a = -2^-12 * log(2); | |
| // > b = round(a, 30, RN); | |
| // > c = round(a - b, 30, RN); | |
| // > d = round(a - b - c, D, RN); | |
| // Errors < 1.5 * 2^-133 | |
| LIBC_INLINE_VAR constexpr double MLOG_2_EXP2_M12_HI = -0x1.62e42ffp-13; | |
| LIBC_INLINE_VAR constexpr double MLOG_2_EXP2_M12_MID = 0x1.718432a1b0e26p-47; | |
| #ifndef LIBC_MATH_HAS_SKIP_ACCURATE_PASS | |
| LIBC_INLINE_VAR constexpr double MLOG_2_EXP2_M12_MID_30 = 0x1.718432ap-47; | |
| LIBC_INLINE_VAR constexpr double MLOG_2_EXP2_M12_LO = 0x1.b0e2633fe0685p-79; | |
| #endif // LIBC_MATH_HAS_SKIP_ACCURATE_PASS | |
| // Polynomial approximations with double precision: | |
| // Return expm1(dx) / x ~ 1 + dx / 2 + dx^2 / 6 + dx^3 / 24. | |
| // For |dx| < 2^-13 + 2^-30: | |
| // | output - expm1(dx) / dx | < 2^-51. | |
| LIBC_INLINE double poly_approx_d(double dx) { | |
| // dx^2 | |
| double dx2 = dx * dx; | |
| // c0 = 1 + dx / 2 | |
| double c0 = fputil::multiply_add(dx, 0.5, 1.0); | |
| // c1 = 1/6 + dx / 24 | |
| double c1 = | |
| fputil::multiply_add(dx, 0x1.5555555555555p-5, 0x1.5555555555555p-3); | |
| // p = dx^2 * c1 + c0 = 1 + dx / 2 + dx^2 / 6 + dx^3 / 24 | |
| double p = fputil::multiply_add(dx2, c1, c0); | |
| return p; | |
| } | |
| #ifndef LIBC_MATH_HAS_SKIP_ACCURATE_PASS | |
| // Polynomial approximation with double-double precision: | |
| // Return exp(dx) ~ 1 + dx + dx^2 / 2 + ... + dx^6 / 720 | |
| // For |dx| < 2^-13 + 2^-30: | |
| // | output - exp(dx) | < 2^-101 | |
| LIBC_INLINE DoubleDouble poly_approx_dd(const DoubleDouble &dx) { | |
| // Taylor polynomial. | |
| constexpr DoubleDouble COEFFS[] = { | |
| {0, 0x1p0}, // 1 | |
| {0, 0x1p0}, // 1 | |
| {0, 0x1p-1}, // 1/2 | |
| {0x1.5555555555555p-57, 0x1.5555555555555p-3}, // 1/6 | |
| {0x1.5555555555555p-59, 0x1.5555555555555p-5}, // 1/24 | |
| {0x1.1111111111111p-63, 0x1.1111111111111p-7}, // 1/120 | |
| {-0x1.f49f49f49f49fp-65, 0x1.6c16c16c16c17p-10}, // 1/720 | |
| }; | |
| DoubleDouble p = fputil::polyeval(dx, COEFFS[0], COEFFS[1], COEFFS[2], | |
| COEFFS[3], COEFFS[4], COEFFS[5], COEFFS[6]); | |
| return p; | |
| } | |
| // Polynomial approximation with 128-bit precision: | |
| // Return exp(dx) ~ 1 + dx + dx^2 / 2 + ... + dx^7 / 5040 | |
| // For |dx| < 2^-13 + 2^-30: | |
| // | output - exp(dx) | < 2^-126. | |
| LIBC_INLINE DFloat128 poly_approx_f128(const DFloat128 &dx) { | |
| constexpr DFloat128 COEFFS_128[]{ | |
| {Sign::POS, -127, 0x80000000'00000000'00000000'00000000_u128}, // 1.0 | |
| {Sign::POS, -127, 0x80000000'00000000'00000000'00000000_u128}, // 1.0 | |
| {Sign::POS, -128, 0x80000000'00000000'00000000'00000000_u128}, // 0.5 | |
| {Sign::POS, -130, 0xaaaaaaaa'aaaaaaaa'aaaaaaaa'aaaaaaab_u128}, // 1/6 | |
| {Sign::POS, -132, 0xaaaaaaaa'aaaaaaaa'aaaaaaaa'aaaaaaab_u128}, // 1/24 | |
| {Sign::POS, -134, 0x88888888'88888888'88888888'88888889_u128}, // 1/120 | |
| {Sign::POS, -137, 0xb60b60b6'0b60b60b'60b60b60'b60b60b6_u128}, // 1/720 | |
| {Sign::POS, -140, 0xd00d00d0'0d00d00d'00d00d00'd00d00d0_u128}, // 1/5040 | |
| }; | |
| DFloat128 p = fputil::polyeval(dx, COEFFS_128[0], COEFFS_128[1], | |
| COEFFS_128[2], COEFFS_128[3], COEFFS_128[4], | |
| COEFFS_128[5], COEFFS_128[6], COEFFS_128[7]); | |
| return p; | |
| } | |
| // Compute exp(x) using 128-bit precision. | |
| // TODO(lntue): investigate triple-double precision implementation for this | |
| // step. | |
| LIBC_INLINE DFloat128 exp_f128(double x, double kd, int idx1, int idx2) { | |
| // Recalculate dx: | |
| double t1 = fputil::multiply_add(kd, MLOG_2_EXP2_M12_HI, x); // exact | |
| double t2 = kd * MLOG_2_EXP2_M12_MID_30; // exact | |
| double t3 = kd * MLOG_2_EXP2_M12_LO; // Error < 2^-133 | |
| DFloat128 dx = fputil::quick_add( | |
| DFloat128(t1), fputil::quick_add(DFloat128(t2), DFloat128(t3))); | |
| // TODO: Skip recalculating exp_mid1 and exp_mid2. | |
| DFloat128 exp_mid1 = | |
| fputil::quick_add(DFloat128(EXP2_MID1[idx1].hi), | |
| fputil::quick_add(DFloat128(EXP2_MID1[idx1].mid), | |
| DFloat128(EXP2_MID1[idx1].lo))); | |
| DFloat128 exp_mid2 = | |
| fputil::quick_add(DFloat128(EXP2_MID2[idx2].hi), | |
| fputil::quick_add(DFloat128(EXP2_MID2[idx2].mid), | |
| DFloat128(EXP2_MID2[idx2].lo))); | |
| DFloat128 exp_mid = fputil::quick_mul(exp_mid1, exp_mid2); | |
| DFloat128 p = poly_approx_f128(dx); | |
| DFloat128 r = fputil::quick_mul(exp_mid, p); | |
| r.exponent += static_cast<int>(kd) >> 12; | |
| return r; | |
| } | |
| // Compute exp(x) with double-double precision. | |
| LIBC_INLINE DoubleDouble exp_double_double(double x, double kd, | |
| const DoubleDouble &exp_mid) { | |
| // Recalculate dx: | |
| // dx = x - k * 2^-12 * log(2) | |
| double t1 = fputil::multiply_add(kd, MLOG_2_EXP2_M12_HI, x); // exact | |
| double t2 = kd * MLOG_2_EXP2_M12_MID_30; // exact | |
| double t3 = kd * MLOG_2_EXP2_M12_LO; // Error < 2^-130 | |
| DoubleDouble dx = fputil::exact_add(t1, t2); | |
| dx.lo += t3; | |
| // Degree-6 Taylor polynomial approximation in double-double precision. | |
| // | p - exp(x) | < 2^-100. | |
| DoubleDouble p = poly_approx_dd(dx); | |
| // Error bounds: 2^-99. | |
| DoubleDouble r = fputil::quick_mult(exp_mid, p); | |
| return r; | |
| } | |
| #endif // LIBC_MATH_HAS_SKIP_ACCURATE_PASS | |
| // Check for exceptional cases when | |
| // |x| <= 2^-53 or x < log(2^-1075) or x >= 0x1.6232bdd7abcd3p+9 | |
| LIBC_INLINE double set_exceptional(double x) { | |
| using FPBits = typename fputil::FPBits<double>; | |
| FPBits xbits(x); | |
| uint64_t x_u = xbits.uintval(); | |
| uint64_t x_abs = xbits.abs().uintval(); | |
| // |x| <= 2^-53 | |
| if (x_abs <= 0x3ca0'0000'0000'0000ULL) { | |
| // exp(x) ~ 1 + x | |
| return 1 + x; | |
| } | |
| // x <= log(2^-1075) || x >= 0x1.6232bdd7abcd3p+9 or inf/nan. | |
| // x <= log(2^-1075) or -inf/nan | |
| if (x_u >= 0xc087'4910'd52d'3052ULL) { | |
| // exp(-Inf) = 0 | |
| if (xbits.is_inf()) | |
| return 0.0; | |
| // exp(nan) = nan | |
| if (xbits.is_nan()) | |
| return x; | |
| #ifndef LIBC_MATH_HAS_ASSUME_ROUND_NEAREST_ONLY | |
| if (fputil::quick_get_round() == FE_UPWARD) | |
| return FPBits::min_subnormal().get_val(); | |
| #endif | |
| fputil::set_errno_if_required(ERANGE); | |
| fputil::raise_except_if_required(FE_UNDERFLOW); | |
| return 0.0; | |
| } | |
| // x >= round(log(MAX_NORMAL), D, RU) = 0x1.62e42fefa39fp+9 or +inf/nan | |
| // x is finite | |
| if (x_u < 0x7ff0'0000'0000'0000ULL) { | |
| #ifndef LIBC_MATH_HAS_ASSUME_ROUND_NEAREST_ONLY | |
| int rounding = fputil::quick_get_round(); | |
| if (rounding == FE_DOWNWARD || rounding == FE_TOWARDZERO) | |
| return FPBits::max_normal().get_val(); | |
| #endif | |
| fputil::set_errno_if_required(ERANGE); | |
| fputil::raise_except_if_required(FE_OVERFLOW); | |
| } | |
| // x is +inf or nan | |
| return x + FPBits::inf().get_val(); | |
| } | |
| } // namespace exp_internal | |
| LIBC_INLINE double exp(double x) { | |
| using namespace exp_internal; | |
| using FPBits = typename fputil::FPBits<double>; | |
| FPBits xbits(x); | |
| uint64_t x_u = xbits.uintval(); | |
| // Upper bound: max normal number = 2^1023 * (2 - 2^-52) | |
| // > round(log (2^1023 ( 2 - 2^-52 )), D, RU) = 0x1.62e42fefa39fp+9 | |
| // > round(log (2^1023 ( 2 - 2^-52 )), D, RD) = 0x1.62e42fefa39efp+9 | |
| // > round(log (2^1023 ( 2 - 2^-52 )), D, RN) = 0x1.62e42fefa39efp+9 | |
| // > round(exp(0x1.62e42fefa39fp+9), D, RN) = infty | |
| // Lower bound: min denormal number / 2 = 2^-1075 | |
| // > round(log(2^-1075), D, RN) = -0x1.74910d52d3052p9 | |
| // Another lower bound: min normal number = 2^-1022 | |
| // > round(log(2^-1022), D, RN) = -0x1.6232bdd7abcd2p9 | |
| // x < log(2^-1075) or x >= 0x1.6232bdd7abcd3p+9 or |x| < 2^-53. | |
| if (LIBC_UNLIKELY(x_u >= 0xc0874910d52d3052 || | |
| (x_u < 0xbca0000000000000 && x_u >= 0x40862e42fefa39f0) || | |
| x_u < 0x3ca0000000000000)) { | |
| return set_exceptional(x); | |
| } | |
| // Now log(2^-1075) <= x <= -2^-53 or 2^-53 <= x < log(2^1023 * (2 - 2^-52)) | |
| // Range reduction: | |
| // Let x = log(2) * (hi + mid1 + mid2) + lo | |
| // in which: | |
| // hi is an integer | |
| // mid1 * 2^6 is an integer | |
| // mid2 * 2^12 is an integer | |
| // then: | |
| // exp(x) = 2^hi * 2^(mid1) * 2^(mid2) * exp(lo). | |
| // With this formula: | |
| // - multiplying by 2^hi is exact and cheap, simply by adding the exponent | |
| // field. | |
| // - 2^(mid1) and 2^(mid2) are stored in 2 x 64-element tables. | |
| // - exp(lo) ~ 1 + lo + a0 * lo^2 + ... | |
| // | |
| // They can be defined by: | |
| // hi + mid1 + mid2 = 2^(-12) * round(2^12 * log_2(e) * x) | |
| // If we store L2E = round(log2(e), D, RN), then: | |
| // log2(e) - L2E ~ 1.5 * 2^(-56) | |
| // So the errors when computing in double precision is: | |
| // | x * 2^12 * log_2(e) - D(x * 2^12 * L2E) | <= | |
| // <= | x * 2^12 * log_2(e) - x * 2^12 * L2E | + | |
| // + | x * 2^12 * L2E - D(x * 2^12 * L2E) | | |
| // <= 2^12 * ( |x| * 1.5 * 2^-56 + eps(x)) for RN | |
| // 2^12 * ( |x| * 1.5 * 2^-56 + 2*eps(x)) for other rounding modes. | |
| // So if: | |
| // hi + mid1 + mid2 = 2^(-12) * round(x * 2^12 * L2E) is computed entirely | |
| // in double precision, the reduced argument: | |
| // lo = x - log(2) * (hi + mid1 + mid2) is bounded by: | |
| // |lo| <= 2^-13 + (|x| * 1.5 * 2^-56 + 2*eps(x)) | |
| // < 2^-13 + (1.5 * 2^9 * 1.5 * 2^-56 + 2*2^(9 - 52)) | |
| // < 2^-13 + 2^-41 | |
| // | |
| // The following trick computes the round(x * L2E) more efficiently | |
| // than using the rounding instructions, with the tradeoff for less accuracy, | |
| // and hence a slightly larger range for the reduced argument `lo`. | |
| // | |
| // To be precise, since |x| < |log(2^-1075)| < 1.5 * 2^9, | |
| // |x * 2^12 * L2E| < 1.5 * 2^9 * 1.5 < 2^23, | |
| // So we can fit the rounded result round(x * 2^12 * L2E) in int32_t. | |
| // Thus, the goal is to be able to use an additional addition and fixed width | |
| // shift to get an int32_t representing round(x * 2^12 * L2E). | |
| // | |
| // Assuming int32_t using 2-complement representation, since the mantissa part | |
| // of a double precision is unsigned with the leading bit hidden, if we add an | |
| // extra constant C = 2^e1 + 2^e2 with e1 > e2 >= 2^25 to the product, the | |
| // part that are < 2^e2 in resulted mantissa of (x*2^12*L2E + C) can be | |
| // considered as a proper 2-complement representations of x*2^12*L2E. | |
| // | |
| // One small problem with this approach is that the sum (x*2^12*L2E + C) in | |
| // double precision is rounded to the least significant bit of the dorminant | |
| // factor C. In order to minimize the rounding errors from this addition, we | |
| // want to minimize e1. Another constraint that we want is that after | |
| // shifting the mantissa so that the least significant bit of int32_t | |
| // corresponds to the unit bit of (x*2^12*L2E), the sign is correct without | |
| // any adjustment. So combining these 2 requirements, we can choose | |
| // C = 2^33 + 2^32, so that the sign bit corresponds to 2^31 bit, and hence | |
| // after right shifting the mantissa, the resulting int32_t has correct sign. | |
| // With this choice of C, the number of mantissa bits we need to shift to the | |
| // right is: 52 - 33 = 19. | |
| // | |
| // Moreover, since the integer right shifts are equivalent to rounding down, | |
| // we can add an extra 0.5 so that it will become round-to-nearest, tie-to- | |
| // +infinity. So in particular, we can compute: | |
| // hmm = x * 2^12 * L2E + C, | |
| // where C = 2^33 + 2^32 + 2^-1, then if | |
| // k = int32_t(lower 51 bits of double(x * 2^12 * L2E + C) >> 19), | |
| // the reduced argument: | |
| // lo = x - log(2) * 2^-12 * k is bounded by: | |
| // |lo| <= 2^-13 + 2^-41 + 2^-12*2^-19 | |
| // = 2^-13 + 2^-31 + 2^-41. | |
| // | |
| // Finally, notice that k only uses the mantissa of x * 2^12 * L2E, so the | |
| // exponent 2^12 is not needed. So we can simply define | |
| // C = 2^(33 - 12) + 2^(32 - 12) + 2^(-13 - 12), and | |
| // k = int32_t(lower 51 bits of double(x * L2E + C) >> 19). | |
| // Rounding errors <= 2^-31 + 2^-41. | |
| double tmp = fputil::multiply_add(x, LOG2_E, 0x1.8000'0000'4p21); | |
| int k = static_cast<int>(cpp::bit_cast<uint64_t>(tmp) >> 19); | |
| double kd = static_cast<double>(k); | |
| uint32_t idx1 = (k >> 6) & 0x3f; | |
| uint32_t idx2 = k & 0x3f; | |
| int hi = k >> 12; | |
| bool denorm = (hi <= -1022); | |
| DoubleDouble exp_mid1{EXP2_MID1[idx1].mid, EXP2_MID1[idx1].hi}; | |
| DoubleDouble exp_mid2{EXP2_MID2[idx2].mid, EXP2_MID2[idx2].hi}; | |
| DoubleDouble exp_mid = fputil::quick_mult(exp_mid1, exp_mid2); | |
| // |x - (hi + mid1 + mid2) * log(2) - dx| < 2^11 * eps(M_LOG_2_EXP2_M12.lo) | |
| // = 2^11 * 2^-13 * 2^-52 | |
| // = 2^-54. | |
| // |dx| < 2^-13 + 2^-30. | |
| double lo_h = fputil::multiply_add(kd, MLOG_2_EXP2_M12_HI, x); // exact | |
| double dx = fputil::multiply_add(kd, MLOG_2_EXP2_M12_MID, lo_h); | |
| // We use the degree-4 Taylor polynomial to approximate exp(lo): | |
| // exp(lo) ~ 1 + lo + lo^2 / 2 + lo^3 / 6 + lo^4 / 24 = 1 + lo * P(lo) | |
| // So that the errors are bounded by: | |
| // |P(lo) - expm1(lo)/lo| < |lo|^4 / 64 < 2^(-13 * 4) / 64 = 2^-58 | |
| // Let P_ be an evaluation of P where all intermediate computations are in | |
| // double precision. Using either Horner's or Estrin's schemes, the evaluated | |
| // errors can be bounded by: | |
| // |P_(dx) - P(dx)| < 2^-51 | |
| // => |dx * P_(dx) - expm1(lo) | < 1.5 * 2^-64 | |
| // => 2^(mid1 + mid2) * |dx * P_(dx) - expm1(lo)| < 1.5 * 2^-63. | |
| // Since we approximate | |
| // 2^(mid1 + mid2) ~ exp_mid.hi + exp_mid.lo, | |
| // We use the expression: | |
| // (exp_mid.hi + exp_mid.lo) * (1 + dx * P_(dx)) ~ | |
| // ~ exp_mid.hi + (exp_mid.hi * dx * P_(dx) + exp_mid.lo) | |
| // with errors bounded by 1.5 * 2^-63. | |
| double mid_lo = dx * exp_mid.hi; | |
| // Approximate expm1(dx)/dx ~ 1 + dx / 2 + dx^2 / 6 + dx^3 / 24. | |
| double p = poly_approx_d(dx); | |
| double lo = fputil::multiply_add(p, mid_lo, exp_mid.lo); | |
| #ifdef LIBC_MATH_HAS_SKIP_ACCURATE_PASS | |
| if (LIBC_UNLIKELY(denorm)) { | |
| return ziv_test_denorm</*SKIP_ZIV_TEST=*/true>(hi, exp_mid.hi, lo, | |
| EXP_ERR_D) | |
| .value(); | |
| } else { | |
| // to multiply by 2^hi, a fast way is to simply add hi to the exponent | |
| // field. | |
| int64_t exp_hi = static_cast<int64_t>(hi) * (1LL << FPBits::FRACTION_LEN); | |
| double r = | |
| cpp::bit_cast<double>(exp_hi + cpp::bit_cast<int64_t>(exp_mid.hi + lo)); | |
| return r; | |
| } | |
| #else | |
| if (LIBC_UNLIKELY(denorm)) { | |
| if (auto r = ziv_test_denorm(hi, exp_mid.hi, lo, EXP_ERR_D); | |
| LIBC_LIKELY(r.has_value())) | |
| return r.value(); | |
| } else { | |
| double upper = exp_mid.hi + (lo + EXP_ERR_D); | |
| double lower = exp_mid.hi + (lo - EXP_ERR_D); | |
| if (LIBC_LIKELY(upper == lower)) { | |
| // to multiply by 2^hi, a fast way is to simply add hi to the exponent | |
| // field. | |
| int64_t exp_hi = static_cast<int64_t>(hi) * (1LL << FPBits::FRACTION_LEN); | |
| double r = cpp::bit_cast<double>(exp_hi + cpp::bit_cast<int64_t>(upper)); | |
| return r; | |
| } | |
| } | |
| // Use double-double | |
| DoubleDouble r_dd = exp_double_double(x, kd, exp_mid); | |
| if (LIBC_UNLIKELY(denorm)) { | |
| if (auto r = ziv_test_denorm(hi, r_dd.hi, r_dd.lo, EXP_ERR_DD); | |
| LIBC_LIKELY(r.has_value())) | |
| return r.value(); | |
| } else { | |
| double upper_dd = r_dd.hi + (r_dd.lo + EXP_ERR_DD); | |
| double lower_dd = r_dd.hi + (r_dd.lo - EXP_ERR_DD); | |
| if (LIBC_LIKELY(upper_dd == lower_dd)) { | |
| int64_t exp_hi = static_cast<int64_t>(hi) * (1LL << FPBits::FRACTION_LEN); | |
| double r = | |
| cpp::bit_cast<double>(exp_hi + cpp::bit_cast<int64_t>(upper_dd)); | |
| return r; | |
| } | |
| } | |
| // Use 128-bit precision | |
| DFloat128 r_f128 = exp_f128(x, kd, idx1, idx2); | |
| return static_cast<double>(r_f128); | |
| #endif // LIBC_MATH_HAS_SKIP_ACCURATE_PASS | |
| } | |
| } // namespace math | |
| } // namespace LIBC_NAMESPACE_DECL | |
| #endif // LLVM_LIBC_SRC___SUPPORT_MATH_EXP_H |