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Sooooo many of these had incorrect or strange main module includes. I have manually inspected all of these, and fixed the main module include to be the nearest plausible thing I could find. If you own or care about any of these source files, I encourage you to take some time and check that these edits were sensible. I can't have broken anything (I strictly added headers, and reordered them, never removed), but they may not be the headers you'd really like to identify as containing the API being implemented. Many forward declarations and missing includes were added to a header files to allow them to parse cleanly when included first. The main module rule does in fact have its merits. =] git-svn-id: https://llvm.org/svn/llvm-project/llvm/trunk@169131 91177308-0d34-0410-b5e6-96231b3b80d8
3585 lines
102 KiB
C++
3585 lines
102 KiB
C++
//===-- APFloat.cpp - Implement APFloat class -----------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// This file implements a class to represent arbitrary precision floating
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// point values and provide a variety of arithmetic operations on them.
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//
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//===----------------------------------------------------------------------===//
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#include "llvm/ADT/APFloat.h"
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#include "llvm/ADT/APSInt.h"
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#include "llvm/ADT/FoldingSet.h"
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#include "llvm/ADT/Hashing.h"
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#include "llvm/ADT/StringRef.h"
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#include "llvm/Support/ErrorHandling.h"
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#include "llvm/Support/MathExtras.h"
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#include <cstring>
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#include <limits.h>
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using namespace llvm;
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#define convolve(lhs, rhs) ((lhs) * 4 + (rhs))
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/* Assumed in hexadecimal significand parsing, and conversion to
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hexadecimal strings. */
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#define COMPILE_TIME_ASSERT(cond) extern int CTAssert[(cond) ? 1 : -1]
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COMPILE_TIME_ASSERT(integerPartWidth % 4 == 0);
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namespace llvm {
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/* Represents floating point arithmetic semantics. */
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struct fltSemantics {
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/* The largest E such that 2^E is representable; this matches the
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definition of IEEE 754. */
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exponent_t maxExponent;
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/* The smallest E such that 2^E is a normalized number; this
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matches the definition of IEEE 754. */
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exponent_t minExponent;
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/* Number of bits in the significand. This includes the integer
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bit. */
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unsigned int precision;
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};
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const fltSemantics APFloat::IEEEhalf = { 15, -14, 11 };
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const fltSemantics APFloat::IEEEsingle = { 127, -126, 24 };
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const fltSemantics APFloat::IEEEdouble = { 1023, -1022, 53 };
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const fltSemantics APFloat::IEEEquad = { 16383, -16382, 113 };
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const fltSemantics APFloat::x87DoubleExtended = { 16383, -16382, 64 };
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const fltSemantics APFloat::Bogus = { 0, 0, 0 };
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/* The PowerPC format consists of two doubles. It does not map cleanly
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onto the usual format above. It is approximated using twice the
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mantissa bits. Note that for exponents near the double minimum,
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we no longer can represent the full 106 mantissa bits, so those
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will be treated as denormal numbers.
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FIXME: While this approximation is equivalent to what GCC uses for
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compile-time arithmetic on PPC double-double numbers, it is not able
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to represent all possible values held by a PPC double-double number,
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for example: (long double) 1.0 + (long double) 0x1p-106
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Should this be replaced by a full emulation of PPC double-double? */
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const fltSemantics APFloat::PPCDoubleDouble = { 1023, -1022 + 53, 53 + 53 };
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/* A tight upper bound on number of parts required to hold the value
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pow(5, power) is
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power * 815 / (351 * integerPartWidth) + 1
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However, whilst the result may require only this many parts,
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because we are multiplying two values to get it, the
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multiplication may require an extra part with the excess part
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being zero (consider the trivial case of 1 * 1, tcFullMultiply
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requires two parts to hold the single-part result). So we add an
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extra one to guarantee enough space whilst multiplying. */
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const unsigned int maxExponent = 16383;
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const unsigned int maxPrecision = 113;
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const unsigned int maxPowerOfFiveExponent = maxExponent + maxPrecision - 1;
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const unsigned int maxPowerOfFiveParts = 2 + ((maxPowerOfFiveExponent * 815)
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/ (351 * integerPartWidth));
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}
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/* A bunch of private, handy routines. */
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static inline unsigned int
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partCountForBits(unsigned int bits)
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{
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return ((bits) + integerPartWidth - 1) / integerPartWidth;
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}
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/* Returns 0U-9U. Return values >= 10U are not digits. */
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static inline unsigned int
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decDigitValue(unsigned int c)
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{
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return c - '0';
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}
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static unsigned int
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hexDigitValue(unsigned int c)
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{
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unsigned int r;
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r = c - '0';
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if (r <= 9)
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return r;
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r = c - 'A';
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if (r <= 5)
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return r + 10;
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r = c - 'a';
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if (r <= 5)
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return r + 10;
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return -1U;
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}
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/* Return the value of a decimal exponent of the form
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[+-]ddddddd.
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If the exponent overflows, returns a large exponent with the
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appropriate sign. */
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static int
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readExponent(StringRef::iterator begin, StringRef::iterator end)
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{
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bool isNegative;
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unsigned int absExponent;
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const unsigned int overlargeExponent = 24000; /* FIXME. */
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StringRef::iterator p = begin;
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assert(p != end && "Exponent has no digits");
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isNegative = (*p == '-');
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if (*p == '-' || *p == '+') {
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p++;
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assert(p != end && "Exponent has no digits");
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}
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absExponent = decDigitValue(*p++);
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assert(absExponent < 10U && "Invalid character in exponent");
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for (; p != end; ++p) {
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unsigned int value;
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value = decDigitValue(*p);
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assert(value < 10U && "Invalid character in exponent");
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value += absExponent * 10;
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if (absExponent >= overlargeExponent) {
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absExponent = overlargeExponent;
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p = end; /* outwit assert below */
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break;
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}
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absExponent = value;
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}
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assert(p == end && "Invalid exponent in exponent");
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if (isNegative)
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return -(int) absExponent;
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else
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return (int) absExponent;
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}
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/* This is ugly and needs cleaning up, but I don't immediately see
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how whilst remaining safe. */
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static int
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totalExponent(StringRef::iterator p, StringRef::iterator end,
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int exponentAdjustment)
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{
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int unsignedExponent;
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bool negative, overflow;
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int exponent = 0;
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assert(p != end && "Exponent has no digits");
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negative = *p == '-';
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if (*p == '-' || *p == '+') {
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p++;
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assert(p != end && "Exponent has no digits");
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}
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unsignedExponent = 0;
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overflow = false;
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for (; p != end; ++p) {
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unsigned int value;
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value = decDigitValue(*p);
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assert(value < 10U && "Invalid character in exponent");
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unsignedExponent = unsignedExponent * 10 + value;
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if (unsignedExponent > 32767) {
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overflow = true;
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break;
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}
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}
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if (exponentAdjustment > 32767 || exponentAdjustment < -32768)
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overflow = true;
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if (!overflow) {
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exponent = unsignedExponent;
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if (negative)
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exponent = -exponent;
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exponent += exponentAdjustment;
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if (exponent > 32767 || exponent < -32768)
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overflow = true;
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}
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if (overflow)
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exponent = negative ? -32768: 32767;
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return exponent;
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}
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static StringRef::iterator
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skipLeadingZeroesAndAnyDot(StringRef::iterator begin, StringRef::iterator end,
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StringRef::iterator *dot)
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{
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StringRef::iterator p = begin;
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*dot = end;
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while (*p == '0' && p != end)
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p++;
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if (*p == '.') {
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*dot = p++;
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assert(end - begin != 1 && "Significand has no digits");
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while (*p == '0' && p != end)
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p++;
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}
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return p;
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}
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/* Given a normal decimal floating point number of the form
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dddd.dddd[eE][+-]ddd
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where the decimal point and exponent are optional, fill out the
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structure D. Exponent is appropriate if the significand is
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treated as an integer, and normalizedExponent if the significand
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is taken to have the decimal point after a single leading
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non-zero digit.
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If the value is zero, V->firstSigDigit points to a non-digit, and
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the return exponent is zero.
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*/
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struct decimalInfo {
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const char *firstSigDigit;
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const char *lastSigDigit;
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int exponent;
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int normalizedExponent;
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};
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static void
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interpretDecimal(StringRef::iterator begin, StringRef::iterator end,
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decimalInfo *D)
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{
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StringRef::iterator dot = end;
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StringRef::iterator p = skipLeadingZeroesAndAnyDot (begin, end, &dot);
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D->firstSigDigit = p;
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D->exponent = 0;
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D->normalizedExponent = 0;
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for (; p != end; ++p) {
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if (*p == '.') {
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assert(dot == end && "String contains multiple dots");
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dot = p++;
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if (p == end)
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break;
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}
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if (decDigitValue(*p) >= 10U)
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break;
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}
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if (p != end) {
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assert((*p == 'e' || *p == 'E') && "Invalid character in significand");
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assert(p != begin && "Significand has no digits");
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assert((dot == end || p - begin != 1) && "Significand has no digits");
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/* p points to the first non-digit in the string */
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D->exponent = readExponent(p + 1, end);
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/* Implied decimal point? */
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if (dot == end)
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dot = p;
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}
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/* If number is all zeroes accept any exponent. */
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if (p != D->firstSigDigit) {
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/* Drop insignificant trailing zeroes. */
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if (p != begin) {
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do
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do
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p--;
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while (p != begin && *p == '0');
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while (p != begin && *p == '.');
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}
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/* Adjust the exponents for any decimal point. */
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D->exponent += static_cast<exponent_t>((dot - p) - (dot > p));
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D->normalizedExponent = (D->exponent +
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static_cast<exponent_t>((p - D->firstSigDigit)
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- (dot > D->firstSigDigit && dot < p)));
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}
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D->lastSigDigit = p;
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}
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/* Return the trailing fraction of a hexadecimal number.
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DIGITVALUE is the first hex digit of the fraction, P points to
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the next digit. */
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static lostFraction
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trailingHexadecimalFraction(StringRef::iterator p, StringRef::iterator end,
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unsigned int digitValue)
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{
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unsigned int hexDigit;
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/* If the first trailing digit isn't 0 or 8 we can work out the
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fraction immediately. */
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if (digitValue > 8)
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return lfMoreThanHalf;
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else if (digitValue < 8 && digitValue > 0)
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return lfLessThanHalf;
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/* Otherwise we need to find the first non-zero digit. */
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while (*p == '0')
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p++;
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assert(p != end && "Invalid trailing hexadecimal fraction!");
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hexDigit = hexDigitValue(*p);
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/* If we ran off the end it is exactly zero or one-half, otherwise
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a little more. */
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if (hexDigit == -1U)
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return digitValue == 0 ? lfExactlyZero: lfExactlyHalf;
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else
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return digitValue == 0 ? lfLessThanHalf: lfMoreThanHalf;
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}
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/* Return the fraction lost were a bignum truncated losing the least
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significant BITS bits. */
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static lostFraction
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lostFractionThroughTruncation(const integerPart *parts,
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unsigned int partCount,
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unsigned int bits)
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{
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unsigned int lsb;
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lsb = APInt::tcLSB(parts, partCount);
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/* Note this is guaranteed true if bits == 0, or LSB == -1U. */
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if (bits <= lsb)
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return lfExactlyZero;
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if (bits == lsb + 1)
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return lfExactlyHalf;
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if (bits <= partCount * integerPartWidth &&
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APInt::tcExtractBit(parts, bits - 1))
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return lfMoreThanHalf;
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return lfLessThanHalf;
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}
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/* Shift DST right BITS bits noting lost fraction. */
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static lostFraction
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shiftRight(integerPart *dst, unsigned int parts, unsigned int bits)
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{
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lostFraction lost_fraction;
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lost_fraction = lostFractionThroughTruncation(dst, parts, bits);
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APInt::tcShiftRight(dst, parts, bits);
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return lost_fraction;
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}
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/* Combine the effect of two lost fractions. */
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static lostFraction
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combineLostFractions(lostFraction moreSignificant,
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lostFraction lessSignificant)
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{
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if (lessSignificant != lfExactlyZero) {
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if (moreSignificant == lfExactlyZero)
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moreSignificant = lfLessThanHalf;
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else if (moreSignificant == lfExactlyHalf)
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moreSignificant = lfMoreThanHalf;
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}
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return moreSignificant;
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}
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/* The error from the true value, in half-ulps, on multiplying two
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floating point numbers, which differ from the value they
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approximate by at most HUE1 and HUE2 half-ulps, is strictly less
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than the returned value.
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See "How to Read Floating Point Numbers Accurately" by William D
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Clinger. */
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static unsigned int
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HUerrBound(bool inexactMultiply, unsigned int HUerr1, unsigned int HUerr2)
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{
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assert(HUerr1 < 2 || HUerr2 < 2 || (HUerr1 + HUerr2 < 8));
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if (HUerr1 + HUerr2 == 0)
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return inexactMultiply * 2; /* <= inexactMultiply half-ulps. */
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else
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return inexactMultiply + 2 * (HUerr1 + HUerr2);
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}
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/* The number of ulps from the boundary (zero, or half if ISNEAREST)
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when the least significant BITS are truncated. BITS cannot be
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zero. */
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static integerPart
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ulpsFromBoundary(const integerPart *parts, unsigned int bits, bool isNearest)
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{
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unsigned int count, partBits;
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integerPart part, boundary;
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assert(bits != 0);
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bits--;
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count = bits / integerPartWidth;
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partBits = bits % integerPartWidth + 1;
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part = parts[count] & (~(integerPart) 0 >> (integerPartWidth - partBits));
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if (isNearest)
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boundary = (integerPart) 1 << (partBits - 1);
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else
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boundary = 0;
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if (count == 0) {
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if (part - boundary <= boundary - part)
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return part - boundary;
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else
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return boundary - part;
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}
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if (part == boundary) {
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while (--count)
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if (parts[count])
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return ~(integerPart) 0; /* A lot. */
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return parts[0];
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} else if (part == boundary - 1) {
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while (--count)
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if (~parts[count])
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return ~(integerPart) 0; /* A lot. */
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return -parts[0];
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}
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return ~(integerPart) 0; /* A lot. */
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}
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/* Place pow(5, power) in DST, and return the number of parts used.
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DST must be at least one part larger than size of the answer. */
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static unsigned int
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powerOf5(integerPart *dst, unsigned int power)
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{
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static const integerPart firstEightPowers[] = { 1, 5, 25, 125, 625, 3125,
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15625, 78125 };
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integerPart pow5s[maxPowerOfFiveParts * 2 + 5];
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pow5s[0] = 78125 * 5;
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unsigned int partsCount[16] = { 1 };
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integerPart scratch[maxPowerOfFiveParts], *p1, *p2, *pow5;
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unsigned int result;
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assert(power <= maxExponent);
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p1 = dst;
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p2 = scratch;
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*p1 = firstEightPowers[power & 7];
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power >>= 3;
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result = 1;
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pow5 = pow5s;
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for (unsigned int n = 0; power; power >>= 1, n++) {
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unsigned int pc;
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pc = partsCount[n];
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/* Calculate pow(5,pow(2,n+3)) if we haven't yet. */
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if (pc == 0) {
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pc = partsCount[n - 1];
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APInt::tcFullMultiply(pow5, pow5 - pc, pow5 - pc, pc, pc);
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pc *= 2;
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if (pow5[pc - 1] == 0)
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pc--;
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partsCount[n] = pc;
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}
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if (power & 1) {
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integerPart *tmp;
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APInt::tcFullMultiply(p2, p1, pow5, result, pc);
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result += pc;
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if (p2[result - 1] == 0)
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result--;
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/* Now result is in p1 with partsCount parts and p2 is scratch
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space. */
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tmp = p1, p1 = p2, p2 = tmp;
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}
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pow5 += pc;
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}
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if (p1 != dst)
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APInt::tcAssign(dst, p1, result);
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return result;
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}
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/* Zero at the end to avoid modular arithmetic when adding one; used
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when rounding up during hexadecimal output. */
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static const char hexDigitsLower[] = "0123456789abcdef0";
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static const char hexDigitsUpper[] = "0123456789ABCDEF0";
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static const char infinityL[] = "infinity";
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static const char infinityU[] = "INFINITY";
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static const char NaNL[] = "nan";
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static const char NaNU[] = "NAN";
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/* Write out an integerPart in hexadecimal, starting with the most
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significant nibble. Write out exactly COUNT hexdigits, return
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COUNT. */
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static unsigned int
|
|
partAsHex (char *dst, integerPart part, unsigned int count,
|
|
const char *hexDigitChars)
|
|
{
|
|
unsigned int result = count;
|
|
|
|
assert(count != 0 && count <= integerPartWidth / 4);
|
|
|
|
part >>= (integerPartWidth - 4 * count);
|
|
while (count--) {
|
|
dst[count] = hexDigitChars[part & 0xf];
|
|
part >>= 4;
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
/* Write out an unsigned decimal integer. */
|
|
static char *
|
|
writeUnsignedDecimal (char *dst, unsigned int n)
|
|
{
|
|
char buff[40], *p;
|
|
|
|
p = buff;
|
|
do
|
|
*p++ = '0' + n % 10;
|
|
while (n /= 10);
|
|
|
|
do
|
|
*dst++ = *--p;
|
|
while (p != buff);
|
|
|
|
return dst;
|
|
}
|
|
|
|
/* Write out a signed decimal integer. */
|
|
static char *
|
|
writeSignedDecimal (char *dst, int value)
|
|
{
|
|
if (value < 0) {
|
|
*dst++ = '-';
|
|
dst = writeUnsignedDecimal(dst, -(unsigned) value);
|
|
} else
|
|
dst = writeUnsignedDecimal(dst, value);
|
|
|
|
return dst;
|
|
}
|
|
|
|
/* Constructors. */
|
|
void
|
|
APFloat::initialize(const fltSemantics *ourSemantics)
|
|
{
|
|
unsigned int count;
|
|
|
|
semantics = ourSemantics;
|
|
count = partCount();
|
|
if (count > 1)
|
|
significand.parts = new integerPart[count];
|
|
}
|
|
|
|
void
|
|
APFloat::freeSignificand()
|
|
{
|
|
if (partCount() > 1)
|
|
delete [] significand.parts;
|
|
}
|
|
|
|
void
|
|
APFloat::assign(const APFloat &rhs)
|
|
{
|
|
assert(semantics == rhs.semantics);
|
|
|
|
sign = rhs.sign;
|
|
category = rhs.category;
|
|
exponent = rhs.exponent;
|
|
if (category == fcNormal || category == fcNaN)
|
|
copySignificand(rhs);
|
|
}
|
|
|
|
void
|
|
APFloat::copySignificand(const APFloat &rhs)
|
|
{
|
|
assert(category == fcNormal || category == fcNaN);
|
|
assert(rhs.partCount() >= partCount());
|
|
|
|
APInt::tcAssign(significandParts(), rhs.significandParts(),
|
|
partCount());
|
|
}
|
|
|
|
/* Make this number a NaN, with an arbitrary but deterministic value
|
|
for the significand. If double or longer, this is a signalling NaN,
|
|
which may not be ideal. If float, this is QNaN(0). */
|
|
void APFloat::makeNaN(bool SNaN, bool Negative, const APInt *fill)
|
|
{
|
|
category = fcNaN;
|
|
sign = Negative;
|
|
|
|
integerPart *significand = significandParts();
|
|
unsigned numParts = partCount();
|
|
|
|
// Set the significand bits to the fill.
|
|
if (!fill || fill->getNumWords() < numParts)
|
|
APInt::tcSet(significand, 0, numParts);
|
|
if (fill) {
|
|
APInt::tcAssign(significand, fill->getRawData(),
|
|
std::min(fill->getNumWords(), numParts));
|
|
|
|
// Zero out the excess bits of the significand.
|
|
unsigned bitsToPreserve = semantics->precision - 1;
|
|
unsigned part = bitsToPreserve / 64;
|
|
bitsToPreserve %= 64;
|
|
significand[part] &= ((1ULL << bitsToPreserve) - 1);
|
|
for (part++; part != numParts; ++part)
|
|
significand[part] = 0;
|
|
}
|
|
|
|
unsigned QNaNBit = semantics->precision - 2;
|
|
|
|
if (SNaN) {
|
|
// We always have to clear the QNaN bit to make it an SNaN.
|
|
APInt::tcClearBit(significand, QNaNBit);
|
|
|
|
// If there are no bits set in the payload, we have to set
|
|
// *something* to make it a NaN instead of an infinity;
|
|
// conventionally, this is the next bit down from the QNaN bit.
|
|
if (APInt::tcIsZero(significand, numParts))
|
|
APInt::tcSetBit(significand, QNaNBit - 1);
|
|
} else {
|
|
// We always have to set the QNaN bit to make it a QNaN.
|
|
APInt::tcSetBit(significand, QNaNBit);
|
|
}
|
|
|
|
// For x87 extended precision, we want to make a NaN, not a
|
|
// pseudo-NaN. Maybe we should expose the ability to make
|
|
// pseudo-NaNs?
|
|
if (semantics == &APFloat::x87DoubleExtended)
|
|
APInt::tcSetBit(significand, QNaNBit + 1);
|
|
}
|
|
|
|
APFloat APFloat::makeNaN(const fltSemantics &Sem, bool SNaN, bool Negative,
|
|
const APInt *fill) {
|
|
APFloat value(Sem, uninitialized);
|
|
value.makeNaN(SNaN, Negative, fill);
|
|
return value;
|
|
}
|
|
|
|
APFloat &
|
|
APFloat::operator=(const APFloat &rhs)
|
|
{
|
|
if (this != &rhs) {
|
|
if (semantics != rhs.semantics) {
|
|
freeSignificand();
|
|
initialize(rhs.semantics);
|
|
}
|
|
assign(rhs);
|
|
}
|
|
|
|
return *this;
|
|
}
|
|
|
|
bool
|
|
APFloat::bitwiseIsEqual(const APFloat &rhs) const {
|
|
if (this == &rhs)
|
|
return true;
|
|
if (semantics != rhs.semantics ||
|
|
category != rhs.category ||
|
|
sign != rhs.sign)
|
|
return false;
|
|
if (category==fcZero || category==fcInfinity)
|
|
return true;
|
|
else if (category==fcNormal && exponent!=rhs.exponent)
|
|
return false;
|
|
else {
|
|
int i= partCount();
|
|
const integerPart* p=significandParts();
|
|
const integerPart* q=rhs.significandParts();
|
|
for (; i>0; i--, p++, q++) {
|
|
if (*p != *q)
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
}
|
|
|
|
APFloat::APFloat(const fltSemantics &ourSemantics, integerPart value) {
|
|
initialize(&ourSemantics);
|
|
sign = 0;
|
|
zeroSignificand();
|
|
exponent = ourSemantics.precision - 1;
|
|
significandParts()[0] = value;
|
|
normalize(rmNearestTiesToEven, lfExactlyZero);
|
|
}
|
|
|
|
APFloat::APFloat(const fltSemantics &ourSemantics) {
|
|
initialize(&ourSemantics);
|
|
category = fcZero;
|
|
sign = false;
|
|
}
|
|
|
|
APFloat::APFloat(const fltSemantics &ourSemantics, uninitializedTag tag) {
|
|
// Allocates storage if necessary but does not initialize it.
|
|
initialize(&ourSemantics);
|
|
}
|
|
|
|
APFloat::APFloat(const fltSemantics &ourSemantics,
|
|
fltCategory ourCategory, bool negative) {
|
|
initialize(&ourSemantics);
|
|
category = ourCategory;
|
|
sign = negative;
|
|
if (category == fcNormal)
|
|
category = fcZero;
|
|
else if (ourCategory == fcNaN)
|
|
makeNaN();
|
|
}
|
|
|
|
APFloat::APFloat(const fltSemantics &ourSemantics, StringRef text) {
|
|
initialize(&ourSemantics);
|
|
convertFromString(text, rmNearestTiesToEven);
|
|
}
|
|
|
|
APFloat::APFloat(const APFloat &rhs) {
|
|
initialize(rhs.semantics);
|
|
assign(rhs);
|
|
}
|
|
|
|
APFloat::~APFloat()
|
|
{
|
|
freeSignificand();
|
|
}
|
|
|
|
// Profile - This method 'profiles' an APFloat for use with FoldingSet.
|
|
void APFloat::Profile(FoldingSetNodeID& ID) const {
|
|
ID.Add(bitcastToAPInt());
|
|
}
|
|
|
|
unsigned int
|
|
APFloat::partCount() const
|
|
{
|
|
return partCountForBits(semantics->precision + 1);
|
|
}
|
|
|
|
unsigned int
|
|
APFloat::semanticsPrecision(const fltSemantics &semantics)
|
|
{
|
|
return semantics.precision;
|
|
}
|
|
|
|
const integerPart *
|
|
APFloat::significandParts() const
|
|
{
|
|
return const_cast<APFloat *>(this)->significandParts();
|
|
}
|
|
|
|
integerPart *
|
|
APFloat::significandParts()
|
|
{
|
|
assert(category == fcNormal || category == fcNaN);
|
|
|
|
if (partCount() > 1)
|
|
return significand.parts;
|
|
else
|
|
return &significand.part;
|
|
}
|
|
|
|
void
|
|
APFloat::zeroSignificand()
|
|
{
|
|
category = fcNormal;
|
|
APInt::tcSet(significandParts(), 0, partCount());
|
|
}
|
|
|
|
/* Increment an fcNormal floating point number's significand. */
|
|
void
|
|
APFloat::incrementSignificand()
|
|
{
|
|
integerPart carry;
|
|
|
|
carry = APInt::tcIncrement(significandParts(), partCount());
|
|
|
|
/* Our callers should never cause us to overflow. */
|
|
assert(carry == 0);
|
|
(void)carry;
|
|
}
|
|
|
|
/* Add the significand of the RHS. Returns the carry flag. */
|
|
integerPart
|
|
APFloat::addSignificand(const APFloat &rhs)
|
|
{
|
|
integerPart *parts;
|
|
|
|
parts = significandParts();
|
|
|
|
assert(semantics == rhs.semantics);
|
|
assert(exponent == rhs.exponent);
|
|
|
|
return APInt::tcAdd(parts, rhs.significandParts(), 0, partCount());
|
|
}
|
|
|
|
/* Subtract the significand of the RHS with a borrow flag. Returns
|
|
the borrow flag. */
|
|
integerPart
|
|
APFloat::subtractSignificand(const APFloat &rhs, integerPart borrow)
|
|
{
|
|
integerPart *parts;
|
|
|
|
parts = significandParts();
|
|
|
|
assert(semantics == rhs.semantics);
|
|
assert(exponent == rhs.exponent);
|
|
|
|
return APInt::tcSubtract(parts, rhs.significandParts(), borrow,
|
|
partCount());
|
|
}
|
|
|
|
/* Multiply the significand of the RHS. If ADDEND is non-NULL, add it
|
|
on to the full-precision result of the multiplication. Returns the
|
|
lost fraction. */
|
|
lostFraction
|
|
APFloat::multiplySignificand(const APFloat &rhs, const APFloat *addend)
|
|
{
|
|
unsigned int omsb; // One, not zero, based MSB.
|
|
unsigned int partsCount, newPartsCount, precision;
|
|
integerPart *lhsSignificand;
|
|
integerPart scratch[4];
|
|
integerPart *fullSignificand;
|
|
lostFraction lost_fraction;
|
|
bool ignored;
|
|
|
|
assert(semantics == rhs.semantics);
|
|
|
|
precision = semantics->precision;
|
|
newPartsCount = partCountForBits(precision * 2);
|
|
|
|
if (newPartsCount > 4)
|
|
fullSignificand = new integerPart[newPartsCount];
|
|
else
|
|
fullSignificand = scratch;
|
|
|
|
lhsSignificand = significandParts();
|
|
partsCount = partCount();
|
|
|
|
APInt::tcFullMultiply(fullSignificand, lhsSignificand,
|
|
rhs.significandParts(), partsCount, partsCount);
|
|
|
|
lost_fraction = lfExactlyZero;
|
|
omsb = APInt::tcMSB(fullSignificand, newPartsCount) + 1;
|
|
exponent += rhs.exponent;
|
|
|
|
if (addend) {
|
|
Significand savedSignificand = significand;
|
|
const fltSemantics *savedSemantics = semantics;
|
|
fltSemantics extendedSemantics;
|
|
opStatus status;
|
|
unsigned int extendedPrecision;
|
|
|
|
/* Normalize our MSB. */
|
|
extendedPrecision = precision + precision - 1;
|
|
if (omsb != extendedPrecision) {
|
|
APInt::tcShiftLeft(fullSignificand, newPartsCount,
|
|
extendedPrecision - omsb);
|
|
exponent -= extendedPrecision - omsb;
|
|
}
|
|
|
|
/* Create new semantics. */
|
|
extendedSemantics = *semantics;
|
|
extendedSemantics.precision = extendedPrecision;
|
|
|
|
if (newPartsCount == 1)
|
|
significand.part = fullSignificand[0];
|
|
else
|
|
significand.parts = fullSignificand;
|
|
semantics = &extendedSemantics;
|
|
|
|
APFloat extendedAddend(*addend);
|
|
status = extendedAddend.convert(extendedSemantics, rmTowardZero, &ignored);
|
|
assert(status == opOK);
|
|
(void)status;
|
|
lost_fraction = addOrSubtractSignificand(extendedAddend, false);
|
|
|
|
/* Restore our state. */
|
|
if (newPartsCount == 1)
|
|
fullSignificand[0] = significand.part;
|
|
significand = savedSignificand;
|
|
semantics = savedSemantics;
|
|
|
|
omsb = APInt::tcMSB(fullSignificand, newPartsCount) + 1;
|
|
}
|
|
|
|
exponent -= (precision - 1);
|
|
|
|
if (omsb > precision) {
|
|
unsigned int bits, significantParts;
|
|
lostFraction lf;
|
|
|
|
bits = omsb - precision;
|
|
significantParts = partCountForBits(omsb);
|
|
lf = shiftRight(fullSignificand, significantParts, bits);
|
|
lost_fraction = combineLostFractions(lf, lost_fraction);
|
|
exponent += bits;
|
|
}
|
|
|
|
APInt::tcAssign(lhsSignificand, fullSignificand, partsCount);
|
|
|
|
if (newPartsCount > 4)
|
|
delete [] fullSignificand;
|
|
|
|
return lost_fraction;
|
|
}
|
|
|
|
/* Multiply the significands of LHS and RHS to DST. */
|
|
lostFraction
|
|
APFloat::divideSignificand(const APFloat &rhs)
|
|
{
|
|
unsigned int bit, i, partsCount;
|
|
const integerPart *rhsSignificand;
|
|
integerPart *lhsSignificand, *dividend, *divisor;
|
|
integerPart scratch[4];
|
|
lostFraction lost_fraction;
|
|
|
|
assert(semantics == rhs.semantics);
|
|
|
|
lhsSignificand = significandParts();
|
|
rhsSignificand = rhs.significandParts();
|
|
partsCount = partCount();
|
|
|
|
if (partsCount > 2)
|
|
dividend = new integerPart[partsCount * 2];
|
|
else
|
|
dividend = scratch;
|
|
|
|
divisor = dividend + partsCount;
|
|
|
|
/* Copy the dividend and divisor as they will be modified in-place. */
|
|
for (i = 0; i < partsCount; i++) {
|
|
dividend[i] = lhsSignificand[i];
|
|
divisor[i] = rhsSignificand[i];
|
|
lhsSignificand[i] = 0;
|
|
}
|
|
|
|
exponent -= rhs.exponent;
|
|
|
|
unsigned int precision = semantics->precision;
|
|
|
|
/* Normalize the divisor. */
|
|
bit = precision - APInt::tcMSB(divisor, partsCount) - 1;
|
|
if (bit) {
|
|
exponent += bit;
|
|
APInt::tcShiftLeft(divisor, partsCount, bit);
|
|
}
|
|
|
|
/* Normalize the dividend. */
|
|
bit = precision - APInt::tcMSB(dividend, partsCount) - 1;
|
|
if (bit) {
|
|
exponent -= bit;
|
|
APInt::tcShiftLeft(dividend, partsCount, bit);
|
|
}
|
|
|
|
/* Ensure the dividend >= divisor initially for the loop below.
|
|
Incidentally, this means that the division loop below is
|
|
guaranteed to set the integer bit to one. */
|
|
if (APInt::tcCompare(dividend, divisor, partsCount) < 0) {
|
|
exponent--;
|
|
APInt::tcShiftLeft(dividend, partsCount, 1);
|
|
assert(APInt::tcCompare(dividend, divisor, partsCount) >= 0);
|
|
}
|
|
|
|
/* Long division. */
|
|
for (bit = precision; bit; bit -= 1) {
|
|
if (APInt::tcCompare(dividend, divisor, partsCount) >= 0) {
|
|
APInt::tcSubtract(dividend, divisor, 0, partsCount);
|
|
APInt::tcSetBit(lhsSignificand, bit - 1);
|
|
}
|
|
|
|
APInt::tcShiftLeft(dividend, partsCount, 1);
|
|
}
|
|
|
|
/* Figure out the lost fraction. */
|
|
int cmp = APInt::tcCompare(dividend, divisor, partsCount);
|
|
|
|
if (cmp > 0)
|
|
lost_fraction = lfMoreThanHalf;
|
|
else if (cmp == 0)
|
|
lost_fraction = lfExactlyHalf;
|
|
else if (APInt::tcIsZero(dividend, partsCount))
|
|
lost_fraction = lfExactlyZero;
|
|
else
|
|
lost_fraction = lfLessThanHalf;
|
|
|
|
if (partsCount > 2)
|
|
delete [] dividend;
|
|
|
|
return lost_fraction;
|
|
}
|
|
|
|
unsigned int
|
|
APFloat::significandMSB() const
|
|
{
|
|
return APInt::tcMSB(significandParts(), partCount());
|
|
}
|
|
|
|
unsigned int
|
|
APFloat::significandLSB() const
|
|
{
|
|
return APInt::tcLSB(significandParts(), partCount());
|
|
}
|
|
|
|
/* Note that a zero result is NOT normalized to fcZero. */
|
|
lostFraction
|
|
APFloat::shiftSignificandRight(unsigned int bits)
|
|
{
|
|
/* Our exponent should not overflow. */
|
|
assert((exponent_t) (exponent + bits) >= exponent);
|
|
|
|
exponent += bits;
|
|
|
|
return shiftRight(significandParts(), partCount(), bits);
|
|
}
|
|
|
|
/* Shift the significand left BITS bits, subtract BITS from its exponent. */
|
|
void
|
|
APFloat::shiftSignificandLeft(unsigned int bits)
|
|
{
|
|
assert(bits < semantics->precision);
|
|
|
|
if (bits) {
|
|
unsigned int partsCount = partCount();
|
|
|
|
APInt::tcShiftLeft(significandParts(), partsCount, bits);
|
|
exponent -= bits;
|
|
|
|
assert(!APInt::tcIsZero(significandParts(), partsCount));
|
|
}
|
|
}
|
|
|
|
APFloat::cmpResult
|
|
APFloat::compareAbsoluteValue(const APFloat &rhs) const
|
|
{
|
|
int compare;
|
|
|
|
assert(semantics == rhs.semantics);
|
|
assert(category == fcNormal);
|
|
assert(rhs.category == fcNormal);
|
|
|
|
compare = exponent - rhs.exponent;
|
|
|
|
/* If exponents are equal, do an unsigned bignum comparison of the
|
|
significands. */
|
|
if (compare == 0)
|
|
compare = APInt::tcCompare(significandParts(), rhs.significandParts(),
|
|
partCount());
|
|
|
|
if (compare > 0)
|
|
return cmpGreaterThan;
|
|
else if (compare < 0)
|
|
return cmpLessThan;
|
|
else
|
|
return cmpEqual;
|
|
}
|
|
|
|
/* Handle overflow. Sign is preserved. We either become infinity or
|
|
the largest finite number. */
|
|
APFloat::opStatus
|
|
APFloat::handleOverflow(roundingMode rounding_mode)
|
|
{
|
|
/* Infinity? */
|
|
if (rounding_mode == rmNearestTiesToEven ||
|
|
rounding_mode == rmNearestTiesToAway ||
|
|
(rounding_mode == rmTowardPositive && !sign) ||
|
|
(rounding_mode == rmTowardNegative && sign)) {
|
|
category = fcInfinity;
|
|
return (opStatus) (opOverflow | opInexact);
|
|
}
|
|
|
|
/* Otherwise we become the largest finite number. */
|
|
category = fcNormal;
|
|
exponent = semantics->maxExponent;
|
|
APInt::tcSetLeastSignificantBits(significandParts(), partCount(),
|
|
semantics->precision);
|
|
|
|
return opInexact;
|
|
}
|
|
|
|
/* Returns TRUE if, when truncating the current number, with BIT the
|
|
new LSB, with the given lost fraction and rounding mode, the result
|
|
would need to be rounded away from zero (i.e., by increasing the
|
|
signficand). This routine must work for fcZero of both signs, and
|
|
fcNormal numbers. */
|
|
bool
|
|
APFloat::roundAwayFromZero(roundingMode rounding_mode,
|
|
lostFraction lost_fraction,
|
|
unsigned int bit) const
|
|
{
|
|
/* NaNs and infinities should not have lost fractions. */
|
|
assert(category == fcNormal || category == fcZero);
|
|
|
|
/* Current callers never pass this so we don't handle it. */
|
|
assert(lost_fraction != lfExactlyZero);
|
|
|
|
switch (rounding_mode) {
|
|
case rmNearestTiesToAway:
|
|
return lost_fraction == lfExactlyHalf || lost_fraction == lfMoreThanHalf;
|
|
|
|
case rmNearestTiesToEven:
|
|
if (lost_fraction == lfMoreThanHalf)
|
|
return true;
|
|
|
|
/* Our zeroes don't have a significand to test. */
|
|
if (lost_fraction == lfExactlyHalf && category != fcZero)
|
|
return APInt::tcExtractBit(significandParts(), bit);
|
|
|
|
return false;
|
|
|
|
case rmTowardZero:
|
|
return false;
|
|
|
|
case rmTowardPositive:
|
|
return sign == false;
|
|
|
|
case rmTowardNegative:
|
|
return sign == true;
|
|
}
|
|
llvm_unreachable("Invalid rounding mode found");
|
|
}
|
|
|
|
APFloat::opStatus
|
|
APFloat::normalize(roundingMode rounding_mode,
|
|
lostFraction lost_fraction)
|
|
{
|
|
unsigned int omsb; /* One, not zero, based MSB. */
|
|
int exponentChange;
|
|
|
|
if (category != fcNormal)
|
|
return opOK;
|
|
|
|
/* Before rounding normalize the exponent of fcNormal numbers. */
|
|
omsb = significandMSB() + 1;
|
|
|
|
if (omsb) {
|
|
/* OMSB is numbered from 1. We want to place it in the integer
|
|
bit numbered PRECISION if possible, with a compensating change in
|
|
the exponent. */
|
|
exponentChange = omsb - semantics->precision;
|
|
|
|
/* If the resulting exponent is too high, overflow according to
|
|
the rounding mode. */
|
|
if (exponent + exponentChange > semantics->maxExponent)
|
|
return handleOverflow(rounding_mode);
|
|
|
|
/* Subnormal numbers have exponent minExponent, and their MSB
|
|
is forced based on that. */
|
|
if (exponent + exponentChange < semantics->minExponent)
|
|
exponentChange = semantics->minExponent - exponent;
|
|
|
|
/* Shifting left is easy as we don't lose precision. */
|
|
if (exponentChange < 0) {
|
|
assert(lost_fraction == lfExactlyZero);
|
|
|
|
shiftSignificandLeft(-exponentChange);
|
|
|
|
return opOK;
|
|
}
|
|
|
|
if (exponentChange > 0) {
|
|
lostFraction lf;
|
|
|
|
/* Shift right and capture any new lost fraction. */
|
|
lf = shiftSignificandRight(exponentChange);
|
|
|
|
lost_fraction = combineLostFractions(lf, lost_fraction);
|
|
|
|
/* Keep OMSB up-to-date. */
|
|
if (omsb > (unsigned) exponentChange)
|
|
omsb -= exponentChange;
|
|
else
|
|
omsb = 0;
|
|
}
|
|
}
|
|
|
|
/* Now round the number according to rounding_mode given the lost
|
|
fraction. */
|
|
|
|
/* As specified in IEEE 754, since we do not trap we do not report
|
|
underflow for exact results. */
|
|
if (lost_fraction == lfExactlyZero) {
|
|
/* Canonicalize zeroes. */
|
|
if (omsb == 0)
|
|
category = fcZero;
|
|
|
|
return opOK;
|
|
}
|
|
|
|
/* Increment the significand if we're rounding away from zero. */
|
|
if (roundAwayFromZero(rounding_mode, lost_fraction, 0)) {
|
|
if (omsb == 0)
|
|
exponent = semantics->minExponent;
|
|
|
|
incrementSignificand();
|
|
omsb = significandMSB() + 1;
|
|
|
|
/* Did the significand increment overflow? */
|
|
if (omsb == (unsigned) semantics->precision + 1) {
|
|
/* Renormalize by incrementing the exponent and shifting our
|
|
significand right one. However if we already have the
|
|
maximum exponent we overflow to infinity. */
|
|
if (exponent == semantics->maxExponent) {
|
|
category = fcInfinity;
|
|
|
|
return (opStatus) (opOverflow | opInexact);
|
|
}
|
|
|
|
shiftSignificandRight(1);
|
|
|
|
return opInexact;
|
|
}
|
|
}
|
|
|
|
/* The normal case - we were and are not denormal, and any
|
|
significand increment above didn't overflow. */
|
|
if (omsb == semantics->precision)
|
|
return opInexact;
|
|
|
|
/* We have a non-zero denormal. */
|
|
assert(omsb < semantics->precision);
|
|
|
|
/* Canonicalize zeroes. */
|
|
if (omsb == 0)
|
|
category = fcZero;
|
|
|
|
/* The fcZero case is a denormal that underflowed to zero. */
|
|
return (opStatus) (opUnderflow | opInexact);
|
|
}
|
|
|
|
APFloat::opStatus
|
|
APFloat::addOrSubtractSpecials(const APFloat &rhs, bool subtract)
|
|
{
|
|
switch (convolve(category, rhs.category)) {
|
|
default:
|
|
llvm_unreachable(0);
|
|
|
|
case convolve(fcNaN, fcZero):
|
|
case convolve(fcNaN, fcNormal):
|
|
case convolve(fcNaN, fcInfinity):
|
|
case convolve(fcNaN, fcNaN):
|
|
case convolve(fcNormal, fcZero):
|
|
case convolve(fcInfinity, fcNormal):
|
|
case convolve(fcInfinity, fcZero):
|
|
return opOK;
|
|
|
|
case convolve(fcZero, fcNaN):
|
|
case convolve(fcNormal, fcNaN):
|
|
case convolve(fcInfinity, fcNaN):
|
|
category = fcNaN;
|
|
copySignificand(rhs);
|
|
return opOK;
|
|
|
|
case convolve(fcNormal, fcInfinity):
|
|
case convolve(fcZero, fcInfinity):
|
|
category = fcInfinity;
|
|
sign = rhs.sign ^ subtract;
|
|
return opOK;
|
|
|
|
case convolve(fcZero, fcNormal):
|
|
assign(rhs);
|
|
sign = rhs.sign ^ subtract;
|
|
return opOK;
|
|
|
|
case convolve(fcZero, fcZero):
|
|
/* Sign depends on rounding mode; handled by caller. */
|
|
return opOK;
|
|
|
|
case convolve(fcInfinity, fcInfinity):
|
|
/* Differently signed infinities can only be validly
|
|
subtracted. */
|
|
if (((sign ^ rhs.sign)!=0) != subtract) {
|
|
makeNaN();
|
|
return opInvalidOp;
|
|
}
|
|
|
|
return opOK;
|
|
|
|
case convolve(fcNormal, fcNormal):
|
|
return opDivByZero;
|
|
}
|
|
}
|
|
|
|
/* Add or subtract two normal numbers. */
|
|
lostFraction
|
|
APFloat::addOrSubtractSignificand(const APFloat &rhs, bool subtract)
|
|
{
|
|
integerPart carry;
|
|
lostFraction lost_fraction;
|
|
int bits;
|
|
|
|
/* Determine if the operation on the absolute values is effectively
|
|
an addition or subtraction. */
|
|
subtract ^= (sign ^ rhs.sign) ? true : false;
|
|
|
|
/* Are we bigger exponent-wise than the RHS? */
|
|
bits = exponent - rhs.exponent;
|
|
|
|
/* Subtraction is more subtle than one might naively expect. */
|
|
if (subtract) {
|
|
APFloat temp_rhs(rhs);
|
|
bool reverse;
|
|
|
|
if (bits == 0) {
|
|
reverse = compareAbsoluteValue(temp_rhs) == cmpLessThan;
|
|
lost_fraction = lfExactlyZero;
|
|
} else if (bits > 0) {
|
|
lost_fraction = temp_rhs.shiftSignificandRight(bits - 1);
|
|
shiftSignificandLeft(1);
|
|
reverse = false;
|
|
} else {
|
|
lost_fraction = shiftSignificandRight(-bits - 1);
|
|
temp_rhs.shiftSignificandLeft(1);
|
|
reverse = true;
|
|
}
|
|
|
|
if (reverse) {
|
|
carry = temp_rhs.subtractSignificand
|
|
(*this, lost_fraction != lfExactlyZero);
|
|
copySignificand(temp_rhs);
|
|
sign = !sign;
|
|
} else {
|
|
carry = subtractSignificand
|
|
(temp_rhs, lost_fraction != lfExactlyZero);
|
|
}
|
|
|
|
/* Invert the lost fraction - it was on the RHS and
|
|
subtracted. */
|
|
if (lost_fraction == lfLessThanHalf)
|
|
lost_fraction = lfMoreThanHalf;
|
|
else if (lost_fraction == lfMoreThanHalf)
|
|
lost_fraction = lfLessThanHalf;
|
|
|
|
/* The code above is intended to ensure that no borrow is
|
|
necessary. */
|
|
assert(!carry);
|
|
(void)carry;
|
|
} else {
|
|
if (bits > 0) {
|
|
APFloat temp_rhs(rhs);
|
|
|
|
lost_fraction = temp_rhs.shiftSignificandRight(bits);
|
|
carry = addSignificand(temp_rhs);
|
|
} else {
|
|
lost_fraction = shiftSignificandRight(-bits);
|
|
carry = addSignificand(rhs);
|
|
}
|
|
|
|
/* We have a guard bit; generating a carry cannot happen. */
|
|
assert(!carry);
|
|
(void)carry;
|
|
}
|
|
|
|
return lost_fraction;
|
|
}
|
|
|
|
APFloat::opStatus
|
|
APFloat::multiplySpecials(const APFloat &rhs)
|
|
{
|
|
switch (convolve(category, rhs.category)) {
|
|
default:
|
|
llvm_unreachable(0);
|
|
|
|
case convolve(fcNaN, fcZero):
|
|
case convolve(fcNaN, fcNormal):
|
|
case convolve(fcNaN, fcInfinity):
|
|
case convolve(fcNaN, fcNaN):
|
|
return opOK;
|
|
|
|
case convolve(fcZero, fcNaN):
|
|
case convolve(fcNormal, fcNaN):
|
|
case convolve(fcInfinity, fcNaN):
|
|
category = fcNaN;
|
|
copySignificand(rhs);
|
|
return opOK;
|
|
|
|
case convolve(fcNormal, fcInfinity):
|
|
case convolve(fcInfinity, fcNormal):
|
|
case convolve(fcInfinity, fcInfinity):
|
|
category = fcInfinity;
|
|
return opOK;
|
|
|
|
case convolve(fcZero, fcNormal):
|
|
case convolve(fcNormal, fcZero):
|
|
case convolve(fcZero, fcZero):
|
|
category = fcZero;
|
|
return opOK;
|
|
|
|
case convolve(fcZero, fcInfinity):
|
|
case convolve(fcInfinity, fcZero):
|
|
makeNaN();
|
|
return opInvalidOp;
|
|
|
|
case convolve(fcNormal, fcNormal):
|
|
return opOK;
|
|
}
|
|
}
|
|
|
|
APFloat::opStatus
|
|
APFloat::divideSpecials(const APFloat &rhs)
|
|
{
|
|
switch (convolve(category, rhs.category)) {
|
|
default:
|
|
llvm_unreachable(0);
|
|
|
|
case convolve(fcNaN, fcZero):
|
|
case convolve(fcNaN, fcNormal):
|
|
case convolve(fcNaN, fcInfinity):
|
|
case convolve(fcNaN, fcNaN):
|
|
case convolve(fcInfinity, fcZero):
|
|
case convolve(fcInfinity, fcNormal):
|
|
case convolve(fcZero, fcInfinity):
|
|
case convolve(fcZero, fcNormal):
|
|
return opOK;
|
|
|
|
case convolve(fcZero, fcNaN):
|
|
case convolve(fcNormal, fcNaN):
|
|
case convolve(fcInfinity, fcNaN):
|
|
category = fcNaN;
|
|
copySignificand(rhs);
|
|
return opOK;
|
|
|
|
case convolve(fcNormal, fcInfinity):
|
|
category = fcZero;
|
|
return opOK;
|
|
|
|
case convolve(fcNormal, fcZero):
|
|
category = fcInfinity;
|
|
return opDivByZero;
|
|
|
|
case convolve(fcInfinity, fcInfinity):
|
|
case convolve(fcZero, fcZero):
|
|
makeNaN();
|
|
return opInvalidOp;
|
|
|
|
case convolve(fcNormal, fcNormal):
|
|
return opOK;
|
|
}
|
|
}
|
|
|
|
APFloat::opStatus
|
|
APFloat::modSpecials(const APFloat &rhs)
|
|
{
|
|
switch (convolve(category, rhs.category)) {
|
|
default:
|
|
llvm_unreachable(0);
|
|
|
|
case convolve(fcNaN, fcZero):
|
|
case convolve(fcNaN, fcNormal):
|
|
case convolve(fcNaN, fcInfinity):
|
|
case convolve(fcNaN, fcNaN):
|
|
case convolve(fcZero, fcInfinity):
|
|
case convolve(fcZero, fcNormal):
|
|
case convolve(fcNormal, fcInfinity):
|
|
return opOK;
|
|
|
|
case convolve(fcZero, fcNaN):
|
|
case convolve(fcNormal, fcNaN):
|
|
case convolve(fcInfinity, fcNaN):
|
|
category = fcNaN;
|
|
copySignificand(rhs);
|
|
return opOK;
|
|
|
|
case convolve(fcNormal, fcZero):
|
|
case convolve(fcInfinity, fcZero):
|
|
case convolve(fcInfinity, fcNormal):
|
|
case convolve(fcInfinity, fcInfinity):
|
|
case convolve(fcZero, fcZero):
|
|
makeNaN();
|
|
return opInvalidOp;
|
|
|
|
case convolve(fcNormal, fcNormal):
|
|
return opOK;
|
|
}
|
|
}
|
|
|
|
/* Change sign. */
|
|
void
|
|
APFloat::changeSign()
|
|
{
|
|
/* Look mummy, this one's easy. */
|
|
sign = !sign;
|
|
}
|
|
|
|
void
|
|
APFloat::clearSign()
|
|
{
|
|
/* So is this one. */
|
|
sign = 0;
|
|
}
|
|
|
|
void
|
|
APFloat::copySign(const APFloat &rhs)
|
|
{
|
|
/* And this one. */
|
|
sign = rhs.sign;
|
|
}
|
|
|
|
/* Normalized addition or subtraction. */
|
|
APFloat::opStatus
|
|
APFloat::addOrSubtract(const APFloat &rhs, roundingMode rounding_mode,
|
|
bool subtract)
|
|
{
|
|
opStatus fs;
|
|
|
|
fs = addOrSubtractSpecials(rhs, subtract);
|
|
|
|
/* This return code means it was not a simple case. */
|
|
if (fs == opDivByZero) {
|
|
lostFraction lost_fraction;
|
|
|
|
lost_fraction = addOrSubtractSignificand(rhs, subtract);
|
|
fs = normalize(rounding_mode, lost_fraction);
|
|
|
|
/* Can only be zero if we lost no fraction. */
|
|
assert(category != fcZero || lost_fraction == lfExactlyZero);
|
|
}
|
|
|
|
/* If two numbers add (exactly) to zero, IEEE 754 decrees it is a
|
|
positive zero unless rounding to minus infinity, except that
|
|
adding two like-signed zeroes gives that zero. */
|
|
if (category == fcZero) {
|
|
if (rhs.category != fcZero || (sign == rhs.sign) == subtract)
|
|
sign = (rounding_mode == rmTowardNegative);
|
|
}
|
|
|
|
return fs;
|
|
}
|
|
|
|
/* Normalized addition. */
|
|
APFloat::opStatus
|
|
APFloat::add(const APFloat &rhs, roundingMode rounding_mode)
|
|
{
|
|
return addOrSubtract(rhs, rounding_mode, false);
|
|
}
|
|
|
|
/* Normalized subtraction. */
|
|
APFloat::opStatus
|
|
APFloat::subtract(const APFloat &rhs, roundingMode rounding_mode)
|
|
{
|
|
return addOrSubtract(rhs, rounding_mode, true);
|
|
}
|
|
|
|
/* Normalized multiply. */
|
|
APFloat::opStatus
|
|
APFloat::multiply(const APFloat &rhs, roundingMode rounding_mode)
|
|
{
|
|
opStatus fs;
|
|
|
|
sign ^= rhs.sign;
|
|
fs = multiplySpecials(rhs);
|
|
|
|
if (category == fcNormal) {
|
|
lostFraction lost_fraction = multiplySignificand(rhs, 0);
|
|
fs = normalize(rounding_mode, lost_fraction);
|
|
if (lost_fraction != lfExactlyZero)
|
|
fs = (opStatus) (fs | opInexact);
|
|
}
|
|
|
|
return fs;
|
|
}
|
|
|
|
/* Normalized divide. */
|
|
APFloat::opStatus
|
|
APFloat::divide(const APFloat &rhs, roundingMode rounding_mode)
|
|
{
|
|
opStatus fs;
|
|
|
|
sign ^= rhs.sign;
|
|
fs = divideSpecials(rhs);
|
|
|
|
if (category == fcNormal) {
|
|
lostFraction lost_fraction = divideSignificand(rhs);
|
|
fs = normalize(rounding_mode, lost_fraction);
|
|
if (lost_fraction != lfExactlyZero)
|
|
fs = (opStatus) (fs | opInexact);
|
|
}
|
|
|
|
return fs;
|
|
}
|
|
|
|
/* Normalized remainder. This is not currently correct in all cases. */
|
|
APFloat::opStatus
|
|
APFloat::remainder(const APFloat &rhs)
|
|
{
|
|
opStatus fs;
|
|
APFloat V = *this;
|
|
unsigned int origSign = sign;
|
|
|
|
fs = V.divide(rhs, rmNearestTiesToEven);
|
|
if (fs == opDivByZero)
|
|
return fs;
|
|
|
|
int parts = partCount();
|
|
integerPart *x = new integerPart[parts];
|
|
bool ignored;
|
|
fs = V.convertToInteger(x, parts * integerPartWidth, true,
|
|
rmNearestTiesToEven, &ignored);
|
|
if (fs==opInvalidOp)
|
|
return fs;
|
|
|
|
fs = V.convertFromZeroExtendedInteger(x, parts * integerPartWidth, true,
|
|
rmNearestTiesToEven);
|
|
assert(fs==opOK); // should always work
|
|
|
|
fs = V.multiply(rhs, rmNearestTiesToEven);
|
|
assert(fs==opOK || fs==opInexact); // should not overflow or underflow
|
|
|
|
fs = subtract(V, rmNearestTiesToEven);
|
|
assert(fs==opOK || fs==opInexact); // likewise
|
|
|
|
if (isZero())
|
|
sign = origSign; // IEEE754 requires this
|
|
delete[] x;
|
|
return fs;
|
|
}
|
|
|
|
/* Normalized llvm frem (C fmod).
|
|
This is not currently correct in all cases. */
|
|
APFloat::opStatus
|
|
APFloat::mod(const APFloat &rhs, roundingMode rounding_mode)
|
|
{
|
|
opStatus fs;
|
|
fs = modSpecials(rhs);
|
|
|
|
if (category == fcNormal && rhs.category == fcNormal) {
|
|
APFloat V = *this;
|
|
unsigned int origSign = sign;
|
|
|
|
fs = V.divide(rhs, rmNearestTiesToEven);
|
|
if (fs == opDivByZero)
|
|
return fs;
|
|
|
|
int parts = partCount();
|
|
integerPart *x = new integerPart[parts];
|
|
bool ignored;
|
|
fs = V.convertToInteger(x, parts * integerPartWidth, true,
|
|
rmTowardZero, &ignored);
|
|
if (fs==opInvalidOp)
|
|
return fs;
|
|
|
|
fs = V.convertFromZeroExtendedInteger(x, parts * integerPartWidth, true,
|
|
rmNearestTiesToEven);
|
|
assert(fs==opOK); // should always work
|
|
|
|
fs = V.multiply(rhs, rounding_mode);
|
|
assert(fs==opOK || fs==opInexact); // should not overflow or underflow
|
|
|
|
fs = subtract(V, rounding_mode);
|
|
assert(fs==opOK || fs==opInexact); // likewise
|
|
|
|
if (isZero())
|
|
sign = origSign; // IEEE754 requires this
|
|
delete[] x;
|
|
}
|
|
return fs;
|
|
}
|
|
|
|
/* Normalized fused-multiply-add. */
|
|
APFloat::opStatus
|
|
APFloat::fusedMultiplyAdd(const APFloat &multiplicand,
|
|
const APFloat &addend,
|
|
roundingMode rounding_mode)
|
|
{
|
|
opStatus fs;
|
|
|
|
/* Post-multiplication sign, before addition. */
|
|
sign ^= multiplicand.sign;
|
|
|
|
/* If and only if all arguments are normal do we need to do an
|
|
extended-precision calculation. */
|
|
if (category == fcNormal &&
|
|
multiplicand.category == fcNormal &&
|
|
addend.category == fcNormal) {
|
|
lostFraction lost_fraction;
|
|
|
|
lost_fraction = multiplySignificand(multiplicand, &addend);
|
|
fs = normalize(rounding_mode, lost_fraction);
|
|
if (lost_fraction != lfExactlyZero)
|
|
fs = (opStatus) (fs | opInexact);
|
|
|
|
/* If two numbers add (exactly) to zero, IEEE 754 decrees it is a
|
|
positive zero unless rounding to minus infinity, except that
|
|
adding two like-signed zeroes gives that zero. */
|
|
if (category == fcZero && sign != addend.sign)
|
|
sign = (rounding_mode == rmTowardNegative);
|
|
} else {
|
|
fs = multiplySpecials(multiplicand);
|
|
|
|
/* FS can only be opOK or opInvalidOp. There is no more work
|
|
to do in the latter case. The IEEE-754R standard says it is
|
|
implementation-defined in this case whether, if ADDEND is a
|
|
quiet NaN, we raise invalid op; this implementation does so.
|
|
|
|
If we need to do the addition we can do so with normal
|
|
precision. */
|
|
if (fs == opOK)
|
|
fs = addOrSubtract(addend, rounding_mode, false);
|
|
}
|
|
|
|
return fs;
|
|
}
|
|
|
|
/* Rounding-mode corrrect round to integral value. */
|
|
APFloat::opStatus APFloat::roundToIntegral(roundingMode rounding_mode) {
|
|
opStatus fs;
|
|
|
|
// If the exponent is large enough, we know that this value is already
|
|
// integral, and the arithmetic below would potentially cause it to saturate
|
|
// to +/-Inf. Bail out early instead.
|
|
if (category == fcNormal && exponent+1 >= (int)semanticsPrecision(*semantics))
|
|
return opOK;
|
|
|
|
// The algorithm here is quite simple: we add 2^(p-1), where p is the
|
|
// precision of our format, and then subtract it back off again. The choice
|
|
// of rounding modes for the addition/subtraction determines the rounding mode
|
|
// for our integral rounding as well.
|
|
// NOTE: When the input value is negative, we do subtraction followed by
|
|
// addition instead.
|
|
APInt IntegerConstant(NextPowerOf2(semanticsPrecision(*semantics)), 1);
|
|
IntegerConstant <<= semanticsPrecision(*semantics)-1;
|
|
APFloat MagicConstant(*semantics);
|
|
fs = MagicConstant.convertFromAPInt(IntegerConstant, false,
|
|
rmNearestTiesToEven);
|
|
MagicConstant.copySign(*this);
|
|
|
|
if (fs != opOK)
|
|
return fs;
|
|
|
|
// Preserve the input sign so that we can handle 0.0/-0.0 cases correctly.
|
|
bool inputSign = isNegative();
|
|
|
|
fs = add(MagicConstant, rounding_mode);
|
|
if (fs != opOK && fs != opInexact)
|
|
return fs;
|
|
|
|
fs = subtract(MagicConstant, rounding_mode);
|
|
|
|
// Restore the input sign.
|
|
if (inputSign != isNegative())
|
|
changeSign();
|
|
|
|
return fs;
|
|
}
|
|
|
|
|
|
/* Comparison requires normalized numbers. */
|
|
APFloat::cmpResult
|
|
APFloat::compare(const APFloat &rhs) const
|
|
{
|
|
cmpResult result;
|
|
|
|
assert(semantics == rhs.semantics);
|
|
|
|
switch (convolve(category, rhs.category)) {
|
|
default:
|
|
llvm_unreachable(0);
|
|
|
|
case convolve(fcNaN, fcZero):
|
|
case convolve(fcNaN, fcNormal):
|
|
case convolve(fcNaN, fcInfinity):
|
|
case convolve(fcNaN, fcNaN):
|
|
case convolve(fcZero, fcNaN):
|
|
case convolve(fcNormal, fcNaN):
|
|
case convolve(fcInfinity, fcNaN):
|
|
return cmpUnordered;
|
|
|
|
case convolve(fcInfinity, fcNormal):
|
|
case convolve(fcInfinity, fcZero):
|
|
case convolve(fcNormal, fcZero):
|
|
if (sign)
|
|
return cmpLessThan;
|
|
else
|
|
return cmpGreaterThan;
|
|
|
|
case convolve(fcNormal, fcInfinity):
|
|
case convolve(fcZero, fcInfinity):
|
|
case convolve(fcZero, fcNormal):
|
|
if (rhs.sign)
|
|
return cmpGreaterThan;
|
|
else
|
|
return cmpLessThan;
|
|
|
|
case convolve(fcInfinity, fcInfinity):
|
|
if (sign == rhs.sign)
|
|
return cmpEqual;
|
|
else if (sign)
|
|
return cmpLessThan;
|
|
else
|
|
return cmpGreaterThan;
|
|
|
|
case convolve(fcZero, fcZero):
|
|
return cmpEqual;
|
|
|
|
case convolve(fcNormal, fcNormal):
|
|
break;
|
|
}
|
|
|
|
/* Two normal numbers. Do they have the same sign? */
|
|
if (sign != rhs.sign) {
|
|
if (sign)
|
|
result = cmpLessThan;
|
|
else
|
|
result = cmpGreaterThan;
|
|
} else {
|
|
/* Compare absolute values; invert result if negative. */
|
|
result = compareAbsoluteValue(rhs);
|
|
|
|
if (sign) {
|
|
if (result == cmpLessThan)
|
|
result = cmpGreaterThan;
|
|
else if (result == cmpGreaterThan)
|
|
result = cmpLessThan;
|
|
}
|
|
}
|
|
|
|
return result;
|
|
}
|
|
|
|
/// APFloat::convert - convert a value of one floating point type to another.
|
|
/// The return value corresponds to the IEEE754 exceptions. *losesInfo
|
|
/// records whether the transformation lost information, i.e. whether
|
|
/// converting the result back to the original type will produce the
|
|
/// original value (this is almost the same as return value==fsOK, but there
|
|
/// are edge cases where this is not so).
|
|
|
|
APFloat::opStatus
|
|
APFloat::convert(const fltSemantics &toSemantics,
|
|
roundingMode rounding_mode, bool *losesInfo)
|
|
{
|
|
lostFraction lostFraction;
|
|
unsigned int newPartCount, oldPartCount;
|
|
opStatus fs;
|
|
int shift;
|
|
const fltSemantics &fromSemantics = *semantics;
|
|
|
|
lostFraction = lfExactlyZero;
|
|
newPartCount = partCountForBits(toSemantics.precision + 1);
|
|
oldPartCount = partCount();
|
|
shift = toSemantics.precision - fromSemantics.precision;
|
|
|
|
bool X86SpecialNan = false;
|
|
if (&fromSemantics == &APFloat::x87DoubleExtended &&
|
|
&toSemantics != &APFloat::x87DoubleExtended && category == fcNaN &&
|
|
(!(*significandParts() & 0x8000000000000000ULL) ||
|
|
!(*significandParts() & 0x4000000000000000ULL))) {
|
|
// x86 has some unusual NaNs which cannot be represented in any other
|
|
// format; note them here.
|
|
X86SpecialNan = true;
|
|
}
|
|
|
|
// If this is a truncation, perform the shift before we narrow the storage.
|
|
if (shift < 0 && (category==fcNormal || category==fcNaN))
|
|
lostFraction = shiftRight(significandParts(), oldPartCount, -shift);
|
|
|
|
// Fix the storage so it can hold to new value.
|
|
if (newPartCount > oldPartCount) {
|
|
// The new type requires more storage; make it available.
|
|
integerPart *newParts;
|
|
newParts = new integerPart[newPartCount];
|
|
APInt::tcSet(newParts, 0, newPartCount);
|
|
if (category==fcNormal || category==fcNaN)
|
|
APInt::tcAssign(newParts, significandParts(), oldPartCount);
|
|
freeSignificand();
|
|
significand.parts = newParts;
|
|
} else if (newPartCount == 1 && oldPartCount != 1) {
|
|
// Switch to built-in storage for a single part.
|
|
integerPart newPart = 0;
|
|
if (category==fcNormal || category==fcNaN)
|
|
newPart = significandParts()[0];
|
|
freeSignificand();
|
|
significand.part = newPart;
|
|
}
|
|
|
|
// Now that we have the right storage, switch the semantics.
|
|
semantics = &toSemantics;
|
|
|
|
// If this is an extension, perform the shift now that the storage is
|
|
// available.
|
|
if (shift > 0 && (category==fcNormal || category==fcNaN))
|
|
APInt::tcShiftLeft(significandParts(), newPartCount, shift);
|
|
|
|
if (category == fcNormal) {
|
|
fs = normalize(rounding_mode, lostFraction);
|
|
*losesInfo = (fs != opOK);
|
|
} else if (category == fcNaN) {
|
|
*losesInfo = lostFraction != lfExactlyZero || X86SpecialNan;
|
|
// gcc forces the Quiet bit on, which means (float)(double)(float_sNan)
|
|
// does not give you back the same bits. This is dubious, and we
|
|
// don't currently do it. You're really supposed to get
|
|
// an invalid operation signal at runtime, but nobody does that.
|
|
fs = opOK;
|
|
} else {
|
|
*losesInfo = false;
|
|
fs = opOK;
|
|
}
|
|
|
|
return fs;
|
|
}
|
|
|
|
/* Convert a floating point number to an integer according to the
|
|
rounding mode. If the rounded integer value is out of range this
|
|
returns an invalid operation exception and the contents of the
|
|
destination parts are unspecified. If the rounded value is in
|
|
range but the floating point number is not the exact integer, the C
|
|
standard doesn't require an inexact exception to be raised. IEEE
|
|
854 does require it so we do that.
|
|
|
|
Note that for conversions to integer type the C standard requires
|
|
round-to-zero to always be used. */
|
|
APFloat::opStatus
|
|
APFloat::convertToSignExtendedInteger(integerPart *parts, unsigned int width,
|
|
bool isSigned,
|
|
roundingMode rounding_mode,
|
|
bool *isExact) const
|
|
{
|
|
lostFraction lost_fraction;
|
|
const integerPart *src;
|
|
unsigned int dstPartsCount, truncatedBits;
|
|
|
|
*isExact = false;
|
|
|
|
/* Handle the three special cases first. */
|
|
if (category == fcInfinity || category == fcNaN)
|
|
return opInvalidOp;
|
|
|
|
dstPartsCount = partCountForBits(width);
|
|
|
|
if (category == fcZero) {
|
|
APInt::tcSet(parts, 0, dstPartsCount);
|
|
// Negative zero can't be represented as an int.
|
|
*isExact = !sign;
|
|
return opOK;
|
|
}
|
|
|
|
src = significandParts();
|
|
|
|
/* Step 1: place our absolute value, with any fraction truncated, in
|
|
the destination. */
|
|
if (exponent < 0) {
|
|
/* Our absolute value is less than one; truncate everything. */
|
|
APInt::tcSet(parts, 0, dstPartsCount);
|
|
/* For exponent -1 the integer bit represents .5, look at that.
|
|
For smaller exponents leftmost truncated bit is 0. */
|
|
truncatedBits = semantics->precision -1U - exponent;
|
|
} else {
|
|
/* We want the most significant (exponent + 1) bits; the rest are
|
|
truncated. */
|
|
unsigned int bits = exponent + 1U;
|
|
|
|
/* Hopelessly large in magnitude? */
|
|
if (bits > width)
|
|
return opInvalidOp;
|
|
|
|
if (bits < semantics->precision) {
|
|
/* We truncate (semantics->precision - bits) bits. */
|
|
truncatedBits = semantics->precision - bits;
|
|
APInt::tcExtract(parts, dstPartsCount, src, bits, truncatedBits);
|
|
} else {
|
|
/* We want at least as many bits as are available. */
|
|
APInt::tcExtract(parts, dstPartsCount, src, semantics->precision, 0);
|
|
APInt::tcShiftLeft(parts, dstPartsCount, bits - semantics->precision);
|
|
truncatedBits = 0;
|
|
}
|
|
}
|
|
|
|
/* Step 2: work out any lost fraction, and increment the absolute
|
|
value if we would round away from zero. */
|
|
if (truncatedBits) {
|
|
lost_fraction = lostFractionThroughTruncation(src, partCount(),
|
|
truncatedBits);
|
|
if (lost_fraction != lfExactlyZero &&
|
|
roundAwayFromZero(rounding_mode, lost_fraction, truncatedBits)) {
|
|
if (APInt::tcIncrement(parts, dstPartsCount))
|
|
return opInvalidOp; /* Overflow. */
|
|
}
|
|
} else {
|
|
lost_fraction = lfExactlyZero;
|
|
}
|
|
|
|
/* Step 3: check if we fit in the destination. */
|
|
unsigned int omsb = APInt::tcMSB(parts, dstPartsCount) + 1;
|
|
|
|
if (sign) {
|
|
if (!isSigned) {
|
|
/* Negative numbers cannot be represented as unsigned. */
|
|
if (omsb != 0)
|
|
return opInvalidOp;
|
|
} else {
|
|
/* It takes omsb bits to represent the unsigned integer value.
|
|
We lose a bit for the sign, but care is needed as the
|
|
maximally negative integer is a special case. */
|
|
if (omsb == width && APInt::tcLSB(parts, dstPartsCount) + 1 != omsb)
|
|
return opInvalidOp;
|
|
|
|
/* This case can happen because of rounding. */
|
|
if (omsb > width)
|
|
return opInvalidOp;
|
|
}
|
|
|
|
APInt::tcNegate (parts, dstPartsCount);
|
|
} else {
|
|
if (omsb >= width + !isSigned)
|
|
return opInvalidOp;
|
|
}
|
|
|
|
if (lost_fraction == lfExactlyZero) {
|
|
*isExact = true;
|
|
return opOK;
|
|
} else
|
|
return opInexact;
|
|
}
|
|
|
|
/* Same as convertToSignExtendedInteger, except we provide
|
|
deterministic values in case of an invalid operation exception,
|
|
namely zero for NaNs and the minimal or maximal value respectively
|
|
for underflow or overflow.
|
|
The *isExact output tells whether the result is exact, in the sense
|
|
that converting it back to the original floating point type produces
|
|
the original value. This is almost equivalent to result==opOK,
|
|
except for negative zeroes.
|
|
*/
|
|
APFloat::opStatus
|
|
APFloat::convertToInteger(integerPart *parts, unsigned int width,
|
|
bool isSigned,
|
|
roundingMode rounding_mode, bool *isExact) const
|
|
{
|
|
opStatus fs;
|
|
|
|
fs = convertToSignExtendedInteger(parts, width, isSigned, rounding_mode,
|
|
isExact);
|
|
|
|
if (fs == opInvalidOp) {
|
|
unsigned int bits, dstPartsCount;
|
|
|
|
dstPartsCount = partCountForBits(width);
|
|
|
|
if (category == fcNaN)
|
|
bits = 0;
|
|
else if (sign)
|
|
bits = isSigned;
|
|
else
|
|
bits = width - isSigned;
|
|
|
|
APInt::tcSetLeastSignificantBits(parts, dstPartsCount, bits);
|
|
if (sign && isSigned)
|
|
APInt::tcShiftLeft(parts, dstPartsCount, width - 1);
|
|
}
|
|
|
|
return fs;
|
|
}
|
|
|
|
/* Same as convertToInteger(integerPart*, ...), except the result is returned in
|
|
an APSInt, whose initial bit-width and signed-ness are used to determine the
|
|
precision of the conversion.
|
|
*/
|
|
APFloat::opStatus
|
|
APFloat::convertToInteger(APSInt &result,
|
|
roundingMode rounding_mode, bool *isExact) const
|
|
{
|
|
unsigned bitWidth = result.getBitWidth();
|
|
SmallVector<uint64_t, 4> parts(result.getNumWords());
|
|
opStatus status = convertToInteger(
|
|
parts.data(), bitWidth, result.isSigned(), rounding_mode, isExact);
|
|
// Keeps the original signed-ness.
|
|
result = APInt(bitWidth, parts);
|
|
return status;
|
|
}
|
|
|
|
/* Convert an unsigned integer SRC to a floating point number,
|
|
rounding according to ROUNDING_MODE. The sign of the floating
|
|
point number is not modified. */
|
|
APFloat::opStatus
|
|
APFloat::convertFromUnsignedParts(const integerPart *src,
|
|
unsigned int srcCount,
|
|
roundingMode rounding_mode)
|
|
{
|
|
unsigned int omsb, precision, dstCount;
|
|
integerPart *dst;
|
|
lostFraction lost_fraction;
|
|
|
|
category = fcNormal;
|
|
omsb = APInt::tcMSB(src, srcCount) + 1;
|
|
dst = significandParts();
|
|
dstCount = partCount();
|
|
precision = semantics->precision;
|
|
|
|
/* We want the most significant PRECISION bits of SRC. There may not
|
|
be that many; extract what we can. */
|
|
if (precision <= omsb) {
|
|
exponent = omsb - 1;
|
|
lost_fraction = lostFractionThroughTruncation(src, srcCount,
|
|
omsb - precision);
|
|
APInt::tcExtract(dst, dstCount, src, precision, omsb - precision);
|
|
} else {
|
|
exponent = precision - 1;
|
|
lost_fraction = lfExactlyZero;
|
|
APInt::tcExtract(dst, dstCount, src, omsb, 0);
|
|
}
|
|
|
|
return normalize(rounding_mode, lost_fraction);
|
|
}
|
|
|
|
APFloat::opStatus
|
|
APFloat::convertFromAPInt(const APInt &Val,
|
|
bool isSigned,
|
|
roundingMode rounding_mode)
|
|
{
|
|
unsigned int partCount = Val.getNumWords();
|
|
APInt api = Val;
|
|
|
|
sign = false;
|
|
if (isSigned && api.isNegative()) {
|
|
sign = true;
|
|
api = -api;
|
|
}
|
|
|
|
return convertFromUnsignedParts(api.getRawData(), partCount, rounding_mode);
|
|
}
|
|
|
|
/* Convert a two's complement integer SRC to a floating point number,
|
|
rounding according to ROUNDING_MODE. ISSIGNED is true if the
|
|
integer is signed, in which case it must be sign-extended. */
|
|
APFloat::opStatus
|
|
APFloat::convertFromSignExtendedInteger(const integerPart *src,
|
|
unsigned int srcCount,
|
|
bool isSigned,
|
|
roundingMode rounding_mode)
|
|
{
|
|
opStatus status;
|
|
|
|
if (isSigned &&
|
|
APInt::tcExtractBit(src, srcCount * integerPartWidth - 1)) {
|
|
integerPart *copy;
|
|
|
|
/* If we're signed and negative negate a copy. */
|
|
sign = true;
|
|
copy = new integerPart[srcCount];
|
|
APInt::tcAssign(copy, src, srcCount);
|
|
APInt::tcNegate(copy, srcCount);
|
|
status = convertFromUnsignedParts(copy, srcCount, rounding_mode);
|
|
delete [] copy;
|
|
} else {
|
|
sign = false;
|
|
status = convertFromUnsignedParts(src, srcCount, rounding_mode);
|
|
}
|
|
|
|
return status;
|
|
}
|
|
|
|
/* FIXME: should this just take a const APInt reference? */
|
|
APFloat::opStatus
|
|
APFloat::convertFromZeroExtendedInteger(const integerPart *parts,
|
|
unsigned int width, bool isSigned,
|
|
roundingMode rounding_mode)
|
|
{
|
|
unsigned int partCount = partCountForBits(width);
|
|
APInt api = APInt(width, makeArrayRef(parts, partCount));
|
|
|
|
sign = false;
|
|
if (isSigned && APInt::tcExtractBit(parts, width - 1)) {
|
|
sign = true;
|
|
api = -api;
|
|
}
|
|
|
|
return convertFromUnsignedParts(api.getRawData(), partCount, rounding_mode);
|
|
}
|
|
|
|
APFloat::opStatus
|
|
APFloat::convertFromHexadecimalString(StringRef s, roundingMode rounding_mode)
|
|
{
|
|
lostFraction lost_fraction = lfExactlyZero;
|
|
integerPart *significand;
|
|
unsigned int bitPos, partsCount;
|
|
StringRef::iterator dot, firstSignificantDigit;
|
|
|
|
zeroSignificand();
|
|
exponent = 0;
|
|
category = fcNormal;
|
|
|
|
significand = significandParts();
|
|
partsCount = partCount();
|
|
bitPos = partsCount * integerPartWidth;
|
|
|
|
/* Skip leading zeroes and any (hexa)decimal point. */
|
|
StringRef::iterator begin = s.begin();
|
|
StringRef::iterator end = s.end();
|
|
StringRef::iterator p = skipLeadingZeroesAndAnyDot(begin, end, &dot);
|
|
firstSignificantDigit = p;
|
|
|
|
for (; p != end;) {
|
|
integerPart hex_value;
|
|
|
|
if (*p == '.') {
|
|
assert(dot == end && "String contains multiple dots");
|
|
dot = p++;
|
|
if (p == end) {
|
|
break;
|
|
}
|
|
}
|
|
|
|
hex_value = hexDigitValue(*p);
|
|
if (hex_value == -1U) {
|
|
break;
|
|
}
|
|
|
|
p++;
|
|
|
|
if (p == end) {
|
|
break;
|
|
} else {
|
|
/* Store the number whilst 4-bit nibbles remain. */
|
|
if (bitPos) {
|
|
bitPos -= 4;
|
|
hex_value <<= bitPos % integerPartWidth;
|
|
significand[bitPos / integerPartWidth] |= hex_value;
|
|
} else {
|
|
lost_fraction = trailingHexadecimalFraction(p, end, hex_value);
|
|
while (p != end && hexDigitValue(*p) != -1U)
|
|
p++;
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
/* Hex floats require an exponent but not a hexadecimal point. */
|
|
assert(p != end && "Hex strings require an exponent");
|
|
assert((*p == 'p' || *p == 'P') && "Invalid character in significand");
|
|
assert(p != begin && "Significand has no digits");
|
|
assert((dot == end || p - begin != 1) && "Significand has no digits");
|
|
|
|
/* Ignore the exponent if we are zero. */
|
|
if (p != firstSignificantDigit) {
|
|
int expAdjustment;
|
|
|
|
/* Implicit hexadecimal point? */
|
|
if (dot == end)
|
|
dot = p;
|
|
|
|
/* Calculate the exponent adjustment implicit in the number of
|
|
significant digits. */
|
|
expAdjustment = static_cast<int>(dot - firstSignificantDigit);
|
|
if (expAdjustment < 0)
|
|
expAdjustment++;
|
|
expAdjustment = expAdjustment * 4 - 1;
|
|
|
|
/* Adjust for writing the significand starting at the most
|
|
significant nibble. */
|
|
expAdjustment += semantics->precision;
|
|
expAdjustment -= partsCount * integerPartWidth;
|
|
|
|
/* Adjust for the given exponent. */
|
|
exponent = totalExponent(p + 1, end, expAdjustment);
|
|
}
|
|
|
|
return normalize(rounding_mode, lost_fraction);
|
|
}
|
|
|
|
APFloat::opStatus
|
|
APFloat::roundSignificandWithExponent(const integerPart *decSigParts,
|
|
unsigned sigPartCount, int exp,
|
|
roundingMode rounding_mode)
|
|
{
|
|
unsigned int parts, pow5PartCount;
|
|
fltSemantics calcSemantics = { 32767, -32767, 0 };
|
|
integerPart pow5Parts[maxPowerOfFiveParts];
|
|
bool isNearest;
|
|
|
|
isNearest = (rounding_mode == rmNearestTiesToEven ||
|
|
rounding_mode == rmNearestTiesToAway);
|
|
|
|
parts = partCountForBits(semantics->precision + 11);
|
|
|
|
/* Calculate pow(5, abs(exp)). */
|
|
pow5PartCount = powerOf5(pow5Parts, exp >= 0 ? exp: -exp);
|
|
|
|
for (;; parts *= 2) {
|
|
opStatus sigStatus, powStatus;
|
|
unsigned int excessPrecision, truncatedBits;
|
|
|
|
calcSemantics.precision = parts * integerPartWidth - 1;
|
|
excessPrecision = calcSemantics.precision - semantics->precision;
|
|
truncatedBits = excessPrecision;
|
|
|
|
APFloat decSig(calcSemantics, fcZero, sign);
|
|
APFloat pow5(calcSemantics, fcZero, false);
|
|
|
|
sigStatus = decSig.convertFromUnsignedParts(decSigParts, sigPartCount,
|
|
rmNearestTiesToEven);
|
|
powStatus = pow5.convertFromUnsignedParts(pow5Parts, pow5PartCount,
|
|
rmNearestTiesToEven);
|
|
/* Add exp, as 10^n = 5^n * 2^n. */
|
|
decSig.exponent += exp;
|
|
|
|
lostFraction calcLostFraction;
|
|
integerPart HUerr, HUdistance;
|
|
unsigned int powHUerr;
|
|
|
|
if (exp >= 0) {
|
|
/* multiplySignificand leaves the precision-th bit set to 1. */
|
|
calcLostFraction = decSig.multiplySignificand(pow5, NULL);
|
|
powHUerr = powStatus != opOK;
|
|
} else {
|
|
calcLostFraction = decSig.divideSignificand(pow5);
|
|
/* Denormal numbers have less precision. */
|
|
if (decSig.exponent < semantics->minExponent) {
|
|
excessPrecision += (semantics->minExponent - decSig.exponent);
|
|
truncatedBits = excessPrecision;
|
|
if (excessPrecision > calcSemantics.precision)
|
|
excessPrecision = calcSemantics.precision;
|
|
}
|
|
/* Extra half-ulp lost in reciprocal of exponent. */
|
|
powHUerr = (powStatus == opOK && calcLostFraction == lfExactlyZero) ? 0:2;
|
|
}
|
|
|
|
/* Both multiplySignificand and divideSignificand return the
|
|
result with the integer bit set. */
|
|
assert(APInt::tcExtractBit
|
|
(decSig.significandParts(), calcSemantics.precision - 1) == 1);
|
|
|
|
HUerr = HUerrBound(calcLostFraction != lfExactlyZero, sigStatus != opOK,
|
|
powHUerr);
|
|
HUdistance = 2 * ulpsFromBoundary(decSig.significandParts(),
|
|
excessPrecision, isNearest);
|
|
|
|
/* Are we guaranteed to round correctly if we truncate? */
|
|
if (HUdistance >= HUerr) {
|
|
APInt::tcExtract(significandParts(), partCount(), decSig.significandParts(),
|
|
calcSemantics.precision - excessPrecision,
|
|
excessPrecision);
|
|
/* Take the exponent of decSig. If we tcExtract-ed less bits
|
|
above we must adjust our exponent to compensate for the
|
|
implicit right shift. */
|
|
exponent = (decSig.exponent + semantics->precision
|
|
- (calcSemantics.precision - excessPrecision));
|
|
calcLostFraction = lostFractionThroughTruncation(decSig.significandParts(),
|
|
decSig.partCount(),
|
|
truncatedBits);
|
|
return normalize(rounding_mode, calcLostFraction);
|
|
}
|
|
}
|
|
}
|
|
|
|
APFloat::opStatus
|
|
APFloat::convertFromDecimalString(StringRef str, roundingMode rounding_mode)
|
|
{
|
|
decimalInfo D;
|
|
opStatus fs;
|
|
|
|
/* Scan the text. */
|
|
StringRef::iterator p = str.begin();
|
|
interpretDecimal(p, str.end(), &D);
|
|
|
|
/* Handle the quick cases. First the case of no significant digits,
|
|
i.e. zero, and then exponents that are obviously too large or too
|
|
small. Writing L for log 10 / log 2, a number d.ddddd*10^exp
|
|
definitely overflows if
|
|
|
|
(exp - 1) * L >= maxExponent
|
|
|
|
and definitely underflows to zero where
|
|
|
|
(exp + 1) * L <= minExponent - precision
|
|
|
|
With integer arithmetic the tightest bounds for L are
|
|
|
|
93/28 < L < 196/59 [ numerator <= 256 ]
|
|
42039/12655 < L < 28738/8651 [ numerator <= 65536 ]
|
|
*/
|
|
|
|
if (decDigitValue(*D.firstSigDigit) >= 10U) {
|
|
category = fcZero;
|
|
fs = opOK;
|
|
|
|
/* Check whether the normalized exponent is high enough to overflow
|
|
max during the log-rebasing in the max-exponent check below. */
|
|
} else if (D.normalizedExponent - 1 > INT_MAX / 42039) {
|
|
fs = handleOverflow(rounding_mode);
|
|
|
|
/* If it wasn't, then it also wasn't high enough to overflow max
|
|
during the log-rebasing in the min-exponent check. Check that it
|
|
won't overflow min in either check, then perform the min-exponent
|
|
check. */
|
|
} else if (D.normalizedExponent - 1 < INT_MIN / 42039 ||
|
|
(D.normalizedExponent + 1) * 28738 <=
|
|
8651 * (semantics->minExponent - (int) semantics->precision)) {
|
|
/* Underflow to zero and round. */
|
|
zeroSignificand();
|
|
fs = normalize(rounding_mode, lfLessThanHalf);
|
|
|
|
/* We can finally safely perform the max-exponent check. */
|
|
} else if ((D.normalizedExponent - 1) * 42039
|
|
>= 12655 * semantics->maxExponent) {
|
|
/* Overflow and round. */
|
|
fs = handleOverflow(rounding_mode);
|
|
} else {
|
|
integerPart *decSignificand;
|
|
unsigned int partCount;
|
|
|
|
/* A tight upper bound on number of bits required to hold an
|
|
N-digit decimal integer is N * 196 / 59. Allocate enough space
|
|
to hold the full significand, and an extra part required by
|
|
tcMultiplyPart. */
|
|
partCount = static_cast<unsigned int>(D.lastSigDigit - D.firstSigDigit) + 1;
|
|
partCount = partCountForBits(1 + 196 * partCount / 59);
|
|
decSignificand = new integerPart[partCount + 1];
|
|
partCount = 0;
|
|
|
|
/* Convert to binary efficiently - we do almost all multiplication
|
|
in an integerPart. When this would overflow do we do a single
|
|
bignum multiplication, and then revert again to multiplication
|
|
in an integerPart. */
|
|
do {
|
|
integerPart decValue, val, multiplier;
|
|
|
|
val = 0;
|
|
multiplier = 1;
|
|
|
|
do {
|
|
if (*p == '.') {
|
|
p++;
|
|
if (p == str.end()) {
|
|
break;
|
|
}
|
|
}
|
|
decValue = decDigitValue(*p++);
|
|
assert(decValue < 10U && "Invalid character in significand");
|
|
multiplier *= 10;
|
|
val = val * 10 + decValue;
|
|
/* The maximum number that can be multiplied by ten with any
|
|
digit added without overflowing an integerPart. */
|
|
} while (p <= D.lastSigDigit && multiplier <= (~ (integerPart) 0 - 9) / 10);
|
|
|
|
/* Multiply out the current part. */
|
|
APInt::tcMultiplyPart(decSignificand, decSignificand, multiplier, val,
|
|
partCount, partCount + 1, false);
|
|
|
|
/* If we used another part (likely but not guaranteed), increase
|
|
the count. */
|
|
if (decSignificand[partCount])
|
|
partCount++;
|
|
} while (p <= D.lastSigDigit);
|
|
|
|
category = fcNormal;
|
|
fs = roundSignificandWithExponent(decSignificand, partCount,
|
|
D.exponent, rounding_mode);
|
|
|
|
delete [] decSignificand;
|
|
}
|
|
|
|
return fs;
|
|
}
|
|
|
|
APFloat::opStatus
|
|
APFloat::convertFromString(StringRef str, roundingMode rounding_mode)
|
|
{
|
|
assert(!str.empty() && "Invalid string length");
|
|
|
|
/* Handle a leading minus sign. */
|
|
StringRef::iterator p = str.begin();
|
|
size_t slen = str.size();
|
|
sign = *p == '-' ? 1 : 0;
|
|
if (*p == '-' || *p == '+') {
|
|
p++;
|
|
slen--;
|
|
assert(slen && "String has no digits");
|
|
}
|
|
|
|
if (slen >= 2 && p[0] == '0' && (p[1] == 'x' || p[1] == 'X')) {
|
|
assert(slen - 2 && "Invalid string");
|
|
return convertFromHexadecimalString(StringRef(p + 2, slen - 2),
|
|
rounding_mode);
|
|
}
|
|
|
|
return convertFromDecimalString(StringRef(p, slen), rounding_mode);
|
|
}
|
|
|
|
/* Write out a hexadecimal representation of the floating point value
|
|
to DST, which must be of sufficient size, in the C99 form
|
|
[-]0xh.hhhhp[+-]d. Return the number of characters written,
|
|
excluding the terminating NUL.
|
|
|
|
If UPPERCASE, the output is in upper case, otherwise in lower case.
|
|
|
|
HEXDIGITS digits appear altogether, rounding the value if
|
|
necessary. If HEXDIGITS is 0, the minimal precision to display the
|
|
number precisely is used instead. If nothing would appear after
|
|
the decimal point it is suppressed.
|
|
|
|
The decimal exponent is always printed and has at least one digit.
|
|
Zero values display an exponent of zero. Infinities and NaNs
|
|
appear as "infinity" or "nan" respectively.
|
|
|
|
The above rules are as specified by C99. There is ambiguity about
|
|
what the leading hexadecimal digit should be. This implementation
|
|
uses whatever is necessary so that the exponent is displayed as
|
|
stored. This implies the exponent will fall within the IEEE format
|
|
range, and the leading hexadecimal digit will be 0 (for denormals),
|
|
1 (normal numbers) or 2 (normal numbers rounded-away-from-zero with
|
|
any other digits zero).
|
|
*/
|
|
unsigned int
|
|
APFloat::convertToHexString(char *dst, unsigned int hexDigits,
|
|
bool upperCase, roundingMode rounding_mode) const
|
|
{
|
|
char *p;
|
|
|
|
p = dst;
|
|
if (sign)
|
|
*dst++ = '-';
|
|
|
|
switch (category) {
|
|
case fcInfinity:
|
|
memcpy (dst, upperCase ? infinityU: infinityL, sizeof infinityU - 1);
|
|
dst += sizeof infinityL - 1;
|
|
break;
|
|
|
|
case fcNaN:
|
|
memcpy (dst, upperCase ? NaNU: NaNL, sizeof NaNU - 1);
|
|
dst += sizeof NaNU - 1;
|
|
break;
|
|
|
|
case fcZero:
|
|
*dst++ = '0';
|
|
*dst++ = upperCase ? 'X': 'x';
|
|
*dst++ = '0';
|
|
if (hexDigits > 1) {
|
|
*dst++ = '.';
|
|
memset (dst, '0', hexDigits - 1);
|
|
dst += hexDigits - 1;
|
|
}
|
|
*dst++ = upperCase ? 'P': 'p';
|
|
*dst++ = '0';
|
|
break;
|
|
|
|
case fcNormal:
|
|
dst = convertNormalToHexString (dst, hexDigits, upperCase, rounding_mode);
|
|
break;
|
|
}
|
|
|
|
*dst = 0;
|
|
|
|
return static_cast<unsigned int>(dst - p);
|
|
}
|
|
|
|
/* Does the hard work of outputting the correctly rounded hexadecimal
|
|
form of a normal floating point number with the specified number of
|
|
hexadecimal digits. If HEXDIGITS is zero the minimum number of
|
|
digits necessary to print the value precisely is output. */
|
|
char *
|
|
APFloat::convertNormalToHexString(char *dst, unsigned int hexDigits,
|
|
bool upperCase,
|
|
roundingMode rounding_mode) const
|
|
{
|
|
unsigned int count, valueBits, shift, partsCount, outputDigits;
|
|
const char *hexDigitChars;
|
|
const integerPart *significand;
|
|
char *p;
|
|
bool roundUp;
|
|
|
|
*dst++ = '0';
|
|
*dst++ = upperCase ? 'X': 'x';
|
|
|
|
roundUp = false;
|
|
hexDigitChars = upperCase ? hexDigitsUpper: hexDigitsLower;
|
|
|
|
significand = significandParts();
|
|
partsCount = partCount();
|
|
|
|
/* +3 because the first digit only uses the single integer bit, so
|
|
we have 3 virtual zero most-significant-bits. */
|
|
valueBits = semantics->precision + 3;
|
|
shift = integerPartWidth - valueBits % integerPartWidth;
|
|
|
|
/* The natural number of digits required ignoring trailing
|
|
insignificant zeroes. */
|
|
outputDigits = (valueBits - significandLSB () + 3) / 4;
|
|
|
|
/* hexDigits of zero means use the required number for the
|
|
precision. Otherwise, see if we are truncating. If we are,
|
|
find out if we need to round away from zero. */
|
|
if (hexDigits) {
|
|
if (hexDigits < outputDigits) {
|
|
/* We are dropping non-zero bits, so need to check how to round.
|
|
"bits" is the number of dropped bits. */
|
|
unsigned int bits;
|
|
lostFraction fraction;
|
|
|
|
bits = valueBits - hexDigits * 4;
|
|
fraction = lostFractionThroughTruncation (significand, partsCount, bits);
|
|
roundUp = roundAwayFromZero(rounding_mode, fraction, bits);
|
|
}
|
|
outputDigits = hexDigits;
|
|
}
|
|
|
|
/* Write the digits consecutively, and start writing in the location
|
|
of the hexadecimal point. We move the most significant digit
|
|
left and add the hexadecimal point later. */
|
|
p = ++dst;
|
|
|
|
count = (valueBits + integerPartWidth - 1) / integerPartWidth;
|
|
|
|
while (outputDigits && count) {
|
|
integerPart part;
|
|
|
|
/* Put the most significant integerPartWidth bits in "part". */
|
|
if (--count == partsCount)
|
|
part = 0; /* An imaginary higher zero part. */
|
|
else
|
|
part = significand[count] << shift;
|
|
|
|
if (count && shift)
|
|
part |= significand[count - 1] >> (integerPartWidth - shift);
|
|
|
|
/* Convert as much of "part" to hexdigits as we can. */
|
|
unsigned int curDigits = integerPartWidth / 4;
|
|
|
|
if (curDigits > outputDigits)
|
|
curDigits = outputDigits;
|
|
dst += partAsHex (dst, part, curDigits, hexDigitChars);
|
|
outputDigits -= curDigits;
|
|
}
|
|
|
|
if (roundUp) {
|
|
char *q = dst;
|
|
|
|
/* Note that hexDigitChars has a trailing '0'. */
|
|
do {
|
|
q--;
|
|
*q = hexDigitChars[hexDigitValue (*q) + 1];
|
|
} while (*q == '0');
|
|
assert(q >= p);
|
|
} else {
|
|
/* Add trailing zeroes. */
|
|
memset (dst, '0', outputDigits);
|
|
dst += outputDigits;
|
|
}
|
|
|
|
/* Move the most significant digit to before the point, and if there
|
|
is something after the decimal point add it. This must come
|
|
after rounding above. */
|
|
p[-1] = p[0];
|
|
if (dst -1 == p)
|
|
dst--;
|
|
else
|
|
p[0] = '.';
|
|
|
|
/* Finally output the exponent. */
|
|
*dst++ = upperCase ? 'P': 'p';
|
|
|
|
return writeSignedDecimal (dst, exponent);
|
|
}
|
|
|
|
hash_code llvm::hash_value(const APFloat &Arg) {
|
|
if (Arg.category != APFloat::fcNormal)
|
|
return hash_combine((uint8_t)Arg.category,
|
|
// NaN has no sign, fix it at zero.
|
|
Arg.isNaN() ? (uint8_t)0 : (uint8_t)Arg.sign,
|
|
Arg.semantics->precision);
|
|
|
|
// Normal floats need their exponent and significand hashed.
|
|
return hash_combine((uint8_t)Arg.category, (uint8_t)Arg.sign,
|
|
Arg.semantics->precision, Arg.exponent,
|
|
hash_combine_range(
|
|
Arg.significandParts(),
|
|
Arg.significandParts() + Arg.partCount()));
|
|
}
|
|
|
|
// Conversion from APFloat to/from host float/double. It may eventually be
|
|
// possible to eliminate these and have everybody deal with APFloats, but that
|
|
// will take a while. This approach will not easily extend to long double.
|
|
// Current implementation requires integerPartWidth==64, which is correct at
|
|
// the moment but could be made more general.
|
|
|
|
// Denormals have exponent minExponent in APFloat, but minExponent-1 in
|
|
// the actual IEEE respresentations. We compensate for that here.
|
|
|
|
APInt
|
|
APFloat::convertF80LongDoubleAPFloatToAPInt() const
|
|
{
|
|
assert(semantics == (const llvm::fltSemantics*)&x87DoubleExtended);
|
|
assert(partCount()==2);
|
|
|
|
uint64_t myexponent, mysignificand;
|
|
|
|
if (category==fcNormal) {
|
|
myexponent = exponent+16383; //bias
|
|
mysignificand = significandParts()[0];
|
|
if (myexponent==1 && !(mysignificand & 0x8000000000000000ULL))
|
|
myexponent = 0; // denormal
|
|
} else if (category==fcZero) {
|
|
myexponent = 0;
|
|
mysignificand = 0;
|
|
} else if (category==fcInfinity) {
|
|
myexponent = 0x7fff;
|
|
mysignificand = 0x8000000000000000ULL;
|
|
} else {
|
|
assert(category == fcNaN && "Unknown category");
|
|
myexponent = 0x7fff;
|
|
mysignificand = significandParts()[0];
|
|
}
|
|
|
|
uint64_t words[2];
|
|
words[0] = mysignificand;
|
|
words[1] = ((uint64_t)(sign & 1) << 15) |
|
|
(myexponent & 0x7fffLL);
|
|
return APInt(80, words);
|
|
}
|
|
|
|
APInt
|
|
APFloat::convertPPCDoubleDoubleAPFloatToAPInt() const
|
|
{
|
|
assert(semantics == (const llvm::fltSemantics*)&PPCDoubleDouble);
|
|
assert(partCount()==2);
|
|
|
|
uint64_t words[2];
|
|
opStatus fs;
|
|
bool losesInfo;
|
|
|
|
// Convert number to double. To avoid spurious underflows, we re-
|
|
// normalize against the "double" minExponent first, and only *then*
|
|
// truncate the mantissa. The result of that second conversion
|
|
// may be inexact, but should never underflow.
|
|
// Declare fltSemantics before APFloat that uses it (and
|
|
// saves pointer to it) to ensure correct destruction order.
|
|
fltSemantics extendedSemantics = *semantics;
|
|
extendedSemantics.minExponent = IEEEdouble.minExponent;
|
|
APFloat extended(*this);
|
|
fs = extended.convert(extendedSemantics, rmNearestTiesToEven, &losesInfo);
|
|
assert(fs == opOK && !losesInfo);
|
|
(void)fs;
|
|
|
|
APFloat u(extended);
|
|
fs = u.convert(IEEEdouble, rmNearestTiesToEven, &losesInfo);
|
|
assert(fs == opOK || fs == opInexact);
|
|
(void)fs;
|
|
words[0] = *u.convertDoubleAPFloatToAPInt().getRawData();
|
|
|
|
// If conversion was exact or resulted in a special case, we're done;
|
|
// just set the second double to zero. Otherwise, re-convert back to
|
|
// the extended format and compute the difference. This now should
|
|
// convert exactly to double.
|
|
if (u.category == fcNormal && losesInfo) {
|
|
fs = u.convert(extendedSemantics, rmNearestTiesToEven, &losesInfo);
|
|
assert(fs == opOK && !losesInfo);
|
|
(void)fs;
|
|
|
|
APFloat v(extended);
|
|
v.subtract(u, rmNearestTiesToEven);
|
|
fs = v.convert(IEEEdouble, rmNearestTiesToEven, &losesInfo);
|
|
assert(fs == opOK && !losesInfo);
|
|
(void)fs;
|
|
words[1] = *v.convertDoubleAPFloatToAPInt().getRawData();
|
|
} else {
|
|
words[1] = 0;
|
|
}
|
|
|
|
return APInt(128, words);
|
|
}
|
|
|
|
APInt
|
|
APFloat::convertQuadrupleAPFloatToAPInt() const
|
|
{
|
|
assert(semantics == (const llvm::fltSemantics*)&IEEEquad);
|
|
assert(partCount()==2);
|
|
|
|
uint64_t myexponent, mysignificand, mysignificand2;
|
|
|
|
if (category==fcNormal) {
|
|
myexponent = exponent+16383; //bias
|
|
mysignificand = significandParts()[0];
|
|
mysignificand2 = significandParts()[1];
|
|
if (myexponent==1 && !(mysignificand2 & 0x1000000000000LL))
|
|
myexponent = 0; // denormal
|
|
} else if (category==fcZero) {
|
|
myexponent = 0;
|
|
mysignificand = mysignificand2 = 0;
|
|
} else if (category==fcInfinity) {
|
|
myexponent = 0x7fff;
|
|
mysignificand = mysignificand2 = 0;
|
|
} else {
|
|
assert(category == fcNaN && "Unknown category!");
|
|
myexponent = 0x7fff;
|
|
mysignificand = significandParts()[0];
|
|
mysignificand2 = significandParts()[1];
|
|
}
|
|
|
|
uint64_t words[2];
|
|
words[0] = mysignificand;
|
|
words[1] = ((uint64_t)(sign & 1) << 63) |
|
|
((myexponent & 0x7fff) << 48) |
|
|
(mysignificand2 & 0xffffffffffffLL);
|
|
|
|
return APInt(128, words);
|
|
}
|
|
|
|
APInt
|
|
APFloat::convertDoubleAPFloatToAPInt() const
|
|
{
|
|
assert(semantics == (const llvm::fltSemantics*)&IEEEdouble);
|
|
assert(partCount()==1);
|
|
|
|
uint64_t myexponent, mysignificand;
|
|
|
|
if (category==fcNormal) {
|
|
myexponent = exponent+1023; //bias
|
|
mysignificand = *significandParts();
|
|
if (myexponent==1 && !(mysignificand & 0x10000000000000LL))
|
|
myexponent = 0; // denormal
|
|
} else if (category==fcZero) {
|
|
myexponent = 0;
|
|
mysignificand = 0;
|
|
} else if (category==fcInfinity) {
|
|
myexponent = 0x7ff;
|
|
mysignificand = 0;
|
|
} else {
|
|
assert(category == fcNaN && "Unknown category!");
|
|
myexponent = 0x7ff;
|
|
mysignificand = *significandParts();
|
|
}
|
|
|
|
return APInt(64, ((((uint64_t)(sign & 1) << 63) |
|
|
((myexponent & 0x7ff) << 52) |
|
|
(mysignificand & 0xfffffffffffffLL))));
|
|
}
|
|
|
|
APInt
|
|
APFloat::convertFloatAPFloatToAPInt() const
|
|
{
|
|
assert(semantics == (const llvm::fltSemantics*)&IEEEsingle);
|
|
assert(partCount()==1);
|
|
|
|
uint32_t myexponent, mysignificand;
|
|
|
|
if (category==fcNormal) {
|
|
myexponent = exponent+127; //bias
|
|
mysignificand = (uint32_t)*significandParts();
|
|
if (myexponent == 1 && !(mysignificand & 0x800000))
|
|
myexponent = 0; // denormal
|
|
} else if (category==fcZero) {
|
|
myexponent = 0;
|
|
mysignificand = 0;
|
|
} else if (category==fcInfinity) {
|
|
myexponent = 0xff;
|
|
mysignificand = 0;
|
|
} else {
|
|
assert(category == fcNaN && "Unknown category!");
|
|
myexponent = 0xff;
|
|
mysignificand = (uint32_t)*significandParts();
|
|
}
|
|
|
|
return APInt(32, (((sign&1) << 31) | ((myexponent&0xff) << 23) |
|
|
(mysignificand & 0x7fffff)));
|
|
}
|
|
|
|
APInt
|
|
APFloat::convertHalfAPFloatToAPInt() const
|
|
{
|
|
assert(semantics == (const llvm::fltSemantics*)&IEEEhalf);
|
|
assert(partCount()==1);
|
|
|
|
uint32_t myexponent, mysignificand;
|
|
|
|
if (category==fcNormal) {
|
|
myexponent = exponent+15; //bias
|
|
mysignificand = (uint32_t)*significandParts();
|
|
if (myexponent == 1 && !(mysignificand & 0x400))
|
|
myexponent = 0; // denormal
|
|
} else if (category==fcZero) {
|
|
myexponent = 0;
|
|
mysignificand = 0;
|
|
} else if (category==fcInfinity) {
|
|
myexponent = 0x1f;
|
|
mysignificand = 0;
|
|
} else {
|
|
assert(category == fcNaN && "Unknown category!");
|
|
myexponent = 0x1f;
|
|
mysignificand = (uint32_t)*significandParts();
|
|
}
|
|
|
|
return APInt(16, (((sign&1) << 15) | ((myexponent&0x1f) << 10) |
|
|
(mysignificand & 0x3ff)));
|
|
}
|
|
|
|
// This function creates an APInt that is just a bit map of the floating
|
|
// point constant as it would appear in memory. It is not a conversion,
|
|
// and treating the result as a normal integer is unlikely to be useful.
|
|
|
|
APInt
|
|
APFloat::bitcastToAPInt() const
|
|
{
|
|
if (semantics == (const llvm::fltSemantics*)&IEEEhalf)
|
|
return convertHalfAPFloatToAPInt();
|
|
|
|
if (semantics == (const llvm::fltSemantics*)&IEEEsingle)
|
|
return convertFloatAPFloatToAPInt();
|
|
|
|
if (semantics == (const llvm::fltSemantics*)&IEEEdouble)
|
|
return convertDoubleAPFloatToAPInt();
|
|
|
|
if (semantics == (const llvm::fltSemantics*)&IEEEquad)
|
|
return convertQuadrupleAPFloatToAPInt();
|
|
|
|
if (semantics == (const llvm::fltSemantics*)&PPCDoubleDouble)
|
|
return convertPPCDoubleDoubleAPFloatToAPInt();
|
|
|
|
assert(semantics == (const llvm::fltSemantics*)&x87DoubleExtended &&
|
|
"unknown format!");
|
|
return convertF80LongDoubleAPFloatToAPInt();
|
|
}
|
|
|
|
float
|
|
APFloat::convertToFloat() const
|
|
{
|
|
assert(semantics == (const llvm::fltSemantics*)&IEEEsingle &&
|
|
"Float semantics are not IEEEsingle");
|
|
APInt api = bitcastToAPInt();
|
|
return api.bitsToFloat();
|
|
}
|
|
|
|
double
|
|
APFloat::convertToDouble() const
|
|
{
|
|
assert(semantics == (const llvm::fltSemantics*)&IEEEdouble &&
|
|
"Float semantics are not IEEEdouble");
|
|
APInt api = bitcastToAPInt();
|
|
return api.bitsToDouble();
|
|
}
|
|
|
|
/// Integer bit is explicit in this format. Intel hardware (387 and later)
|
|
/// does not support these bit patterns:
|
|
/// exponent = all 1's, integer bit 0, significand 0 ("pseudoinfinity")
|
|
/// exponent = all 1's, integer bit 0, significand nonzero ("pseudoNaN")
|
|
/// exponent = 0, integer bit 1 ("pseudodenormal")
|
|
/// exponent!=0 nor all 1's, integer bit 0 ("unnormal")
|
|
/// At the moment, the first two are treated as NaNs, the second two as Normal.
|
|
void
|
|
APFloat::initFromF80LongDoubleAPInt(const APInt &api)
|
|
{
|
|
assert(api.getBitWidth()==80);
|
|
uint64_t i1 = api.getRawData()[0];
|
|
uint64_t i2 = api.getRawData()[1];
|
|
uint64_t myexponent = (i2 & 0x7fff);
|
|
uint64_t mysignificand = i1;
|
|
|
|
initialize(&APFloat::x87DoubleExtended);
|
|
assert(partCount()==2);
|
|
|
|
sign = static_cast<unsigned int>(i2>>15);
|
|
if (myexponent==0 && mysignificand==0) {
|
|
// exponent, significand meaningless
|
|
category = fcZero;
|
|
} else if (myexponent==0x7fff && mysignificand==0x8000000000000000ULL) {
|
|
// exponent, significand meaningless
|
|
category = fcInfinity;
|
|
} else if (myexponent==0x7fff && mysignificand!=0x8000000000000000ULL) {
|
|
// exponent meaningless
|
|
category = fcNaN;
|
|
significandParts()[0] = mysignificand;
|
|
significandParts()[1] = 0;
|
|
} else {
|
|
category = fcNormal;
|
|
exponent = myexponent - 16383;
|
|
significandParts()[0] = mysignificand;
|
|
significandParts()[1] = 0;
|
|
if (myexponent==0) // denormal
|
|
exponent = -16382;
|
|
}
|
|
}
|
|
|
|
void
|
|
APFloat::initFromPPCDoubleDoubleAPInt(const APInt &api)
|
|
{
|
|
assert(api.getBitWidth()==128);
|
|
uint64_t i1 = api.getRawData()[0];
|
|
uint64_t i2 = api.getRawData()[1];
|
|
opStatus fs;
|
|
bool losesInfo;
|
|
|
|
// Get the first double and convert to our format.
|
|
initFromDoubleAPInt(APInt(64, i1));
|
|
fs = convert(PPCDoubleDouble, rmNearestTiesToEven, &losesInfo);
|
|
assert(fs == opOK && !losesInfo);
|
|
(void)fs;
|
|
|
|
// Unless we have a special case, add in second double.
|
|
if (category == fcNormal) {
|
|
APFloat v(APInt(64, i2));
|
|
fs = v.convert(PPCDoubleDouble, rmNearestTiesToEven, &losesInfo);
|
|
assert(fs == opOK && !losesInfo);
|
|
(void)fs;
|
|
|
|
add(v, rmNearestTiesToEven);
|
|
}
|
|
}
|
|
|
|
void
|
|
APFloat::initFromQuadrupleAPInt(const APInt &api)
|
|
{
|
|
assert(api.getBitWidth()==128);
|
|
uint64_t i1 = api.getRawData()[0];
|
|
uint64_t i2 = api.getRawData()[1];
|
|
uint64_t myexponent = (i2 >> 48) & 0x7fff;
|
|
uint64_t mysignificand = i1;
|
|
uint64_t mysignificand2 = i2 & 0xffffffffffffLL;
|
|
|
|
initialize(&APFloat::IEEEquad);
|
|
assert(partCount()==2);
|
|
|
|
sign = static_cast<unsigned int>(i2>>63);
|
|
if (myexponent==0 &&
|
|
(mysignificand==0 && mysignificand2==0)) {
|
|
// exponent, significand meaningless
|
|
category = fcZero;
|
|
} else if (myexponent==0x7fff &&
|
|
(mysignificand==0 && mysignificand2==0)) {
|
|
// exponent, significand meaningless
|
|
category = fcInfinity;
|
|
} else if (myexponent==0x7fff &&
|
|
(mysignificand!=0 || mysignificand2 !=0)) {
|
|
// exponent meaningless
|
|
category = fcNaN;
|
|
significandParts()[0] = mysignificand;
|
|
significandParts()[1] = mysignificand2;
|
|
} else {
|
|
category = fcNormal;
|
|
exponent = myexponent - 16383;
|
|
significandParts()[0] = mysignificand;
|
|
significandParts()[1] = mysignificand2;
|
|
if (myexponent==0) // denormal
|
|
exponent = -16382;
|
|
else
|
|
significandParts()[1] |= 0x1000000000000LL; // integer bit
|
|
}
|
|
}
|
|
|
|
void
|
|
APFloat::initFromDoubleAPInt(const APInt &api)
|
|
{
|
|
assert(api.getBitWidth()==64);
|
|
uint64_t i = *api.getRawData();
|
|
uint64_t myexponent = (i >> 52) & 0x7ff;
|
|
uint64_t mysignificand = i & 0xfffffffffffffLL;
|
|
|
|
initialize(&APFloat::IEEEdouble);
|
|
assert(partCount()==1);
|
|
|
|
sign = static_cast<unsigned int>(i>>63);
|
|
if (myexponent==0 && mysignificand==0) {
|
|
// exponent, significand meaningless
|
|
category = fcZero;
|
|
} else if (myexponent==0x7ff && mysignificand==0) {
|
|
// exponent, significand meaningless
|
|
category = fcInfinity;
|
|
} else if (myexponent==0x7ff && mysignificand!=0) {
|
|
// exponent meaningless
|
|
category = fcNaN;
|
|
*significandParts() = mysignificand;
|
|
} else {
|
|
category = fcNormal;
|
|
exponent = myexponent - 1023;
|
|
*significandParts() = mysignificand;
|
|
if (myexponent==0) // denormal
|
|
exponent = -1022;
|
|
else
|
|
*significandParts() |= 0x10000000000000LL; // integer bit
|
|
}
|
|
}
|
|
|
|
void
|
|
APFloat::initFromFloatAPInt(const APInt & api)
|
|
{
|
|
assert(api.getBitWidth()==32);
|
|
uint32_t i = (uint32_t)*api.getRawData();
|
|
uint32_t myexponent = (i >> 23) & 0xff;
|
|
uint32_t mysignificand = i & 0x7fffff;
|
|
|
|
initialize(&APFloat::IEEEsingle);
|
|
assert(partCount()==1);
|
|
|
|
sign = i >> 31;
|
|
if (myexponent==0 && mysignificand==0) {
|
|
// exponent, significand meaningless
|
|
category = fcZero;
|
|
} else if (myexponent==0xff && mysignificand==0) {
|
|
// exponent, significand meaningless
|
|
category = fcInfinity;
|
|
} else if (myexponent==0xff && mysignificand!=0) {
|
|
// sign, exponent, significand meaningless
|
|
category = fcNaN;
|
|
*significandParts() = mysignificand;
|
|
} else {
|
|
category = fcNormal;
|
|
exponent = myexponent - 127; //bias
|
|
*significandParts() = mysignificand;
|
|
if (myexponent==0) // denormal
|
|
exponent = -126;
|
|
else
|
|
*significandParts() |= 0x800000; // integer bit
|
|
}
|
|
}
|
|
|
|
void
|
|
APFloat::initFromHalfAPInt(const APInt & api)
|
|
{
|
|
assert(api.getBitWidth()==16);
|
|
uint32_t i = (uint32_t)*api.getRawData();
|
|
uint32_t myexponent = (i >> 10) & 0x1f;
|
|
uint32_t mysignificand = i & 0x3ff;
|
|
|
|
initialize(&APFloat::IEEEhalf);
|
|
assert(partCount()==1);
|
|
|
|
sign = i >> 15;
|
|
if (myexponent==0 && mysignificand==0) {
|
|
// exponent, significand meaningless
|
|
category = fcZero;
|
|
} else if (myexponent==0x1f && mysignificand==0) {
|
|
// exponent, significand meaningless
|
|
category = fcInfinity;
|
|
} else if (myexponent==0x1f && mysignificand!=0) {
|
|
// sign, exponent, significand meaningless
|
|
category = fcNaN;
|
|
*significandParts() = mysignificand;
|
|
} else {
|
|
category = fcNormal;
|
|
exponent = myexponent - 15; //bias
|
|
*significandParts() = mysignificand;
|
|
if (myexponent==0) // denormal
|
|
exponent = -14;
|
|
else
|
|
*significandParts() |= 0x400; // integer bit
|
|
}
|
|
}
|
|
|
|
/// Treat api as containing the bits of a floating point number. Currently
|
|
/// we infer the floating point type from the size of the APInt. The
|
|
/// isIEEE argument distinguishes between PPC128 and IEEE128 (not meaningful
|
|
/// when the size is anything else).
|
|
void
|
|
APFloat::initFromAPInt(const APInt& api, bool isIEEE)
|
|
{
|
|
if (api.getBitWidth() == 16)
|
|
return initFromHalfAPInt(api);
|
|
else if (api.getBitWidth() == 32)
|
|
return initFromFloatAPInt(api);
|
|
else if (api.getBitWidth()==64)
|
|
return initFromDoubleAPInt(api);
|
|
else if (api.getBitWidth()==80)
|
|
return initFromF80LongDoubleAPInt(api);
|
|
else if (api.getBitWidth()==128)
|
|
return (isIEEE ?
|
|
initFromQuadrupleAPInt(api) : initFromPPCDoubleDoubleAPInt(api));
|
|
else
|
|
llvm_unreachable(0);
|
|
}
|
|
|
|
APFloat
|
|
APFloat::getAllOnesValue(unsigned BitWidth, bool isIEEE)
|
|
{
|
|
return APFloat(APInt::getAllOnesValue(BitWidth), isIEEE);
|
|
}
|
|
|
|
APFloat APFloat::getLargest(const fltSemantics &Sem, bool Negative) {
|
|
APFloat Val(Sem, fcNormal, Negative);
|
|
|
|
// We want (in interchange format):
|
|
// sign = {Negative}
|
|
// exponent = 1..10
|
|
// significand = 1..1
|
|
|
|
Val.exponent = Sem.maxExponent; // unbiased
|
|
|
|
// 1-initialize all bits....
|
|
Val.zeroSignificand();
|
|
integerPart *significand = Val.significandParts();
|
|
unsigned N = partCountForBits(Sem.precision);
|
|
for (unsigned i = 0; i != N; ++i)
|
|
significand[i] = ~((integerPart) 0);
|
|
|
|
// ...and then clear the top bits for internal consistency.
|
|
if (Sem.precision % integerPartWidth != 0)
|
|
significand[N-1] &=
|
|
(((integerPart) 1) << (Sem.precision % integerPartWidth)) - 1;
|
|
|
|
return Val;
|
|
}
|
|
|
|
APFloat APFloat::getSmallest(const fltSemantics &Sem, bool Negative) {
|
|
APFloat Val(Sem, fcNormal, Negative);
|
|
|
|
// We want (in interchange format):
|
|
// sign = {Negative}
|
|
// exponent = 0..0
|
|
// significand = 0..01
|
|
|
|
Val.exponent = Sem.minExponent; // unbiased
|
|
Val.zeroSignificand();
|
|
Val.significandParts()[0] = 1;
|
|
return Val;
|
|
}
|
|
|
|
APFloat APFloat::getSmallestNormalized(const fltSemantics &Sem, bool Negative) {
|
|
APFloat Val(Sem, fcNormal, Negative);
|
|
|
|
// We want (in interchange format):
|
|
// sign = {Negative}
|
|
// exponent = 0..0
|
|
// significand = 10..0
|
|
|
|
Val.exponent = Sem.minExponent;
|
|
Val.zeroSignificand();
|
|
Val.significandParts()[partCountForBits(Sem.precision)-1] |=
|
|
(((integerPart) 1) << ((Sem.precision - 1) % integerPartWidth));
|
|
|
|
return Val;
|
|
}
|
|
|
|
APFloat::APFloat(const APInt& api, bool isIEEE) {
|
|
initFromAPInt(api, isIEEE);
|
|
}
|
|
|
|
APFloat::APFloat(float f) {
|
|
initFromAPInt(APInt::floatToBits(f));
|
|
}
|
|
|
|
APFloat::APFloat(double d) {
|
|
initFromAPInt(APInt::doubleToBits(d));
|
|
}
|
|
|
|
namespace {
|
|
void append(SmallVectorImpl<char> &Buffer, StringRef Str) {
|
|
Buffer.append(Str.begin(), Str.end());
|
|
}
|
|
|
|
/// Removes data from the given significand until it is no more
|
|
/// precise than is required for the desired precision.
|
|
void AdjustToPrecision(APInt &significand,
|
|
int &exp, unsigned FormatPrecision) {
|
|
unsigned bits = significand.getActiveBits();
|
|
|
|
// 196/59 is a very slight overestimate of lg_2(10).
|
|
unsigned bitsRequired = (FormatPrecision * 196 + 58) / 59;
|
|
|
|
if (bits <= bitsRequired) return;
|
|
|
|
unsigned tensRemovable = (bits - bitsRequired) * 59 / 196;
|
|
if (!tensRemovable) return;
|
|
|
|
exp += tensRemovable;
|
|
|
|
APInt divisor(significand.getBitWidth(), 1);
|
|
APInt powten(significand.getBitWidth(), 10);
|
|
while (true) {
|
|
if (tensRemovable & 1)
|
|
divisor *= powten;
|
|
tensRemovable >>= 1;
|
|
if (!tensRemovable) break;
|
|
powten *= powten;
|
|
}
|
|
|
|
significand = significand.udiv(divisor);
|
|
|
|
// Truncate the significand down to its active bit count, but
|
|
// don't try to drop below 32.
|
|
unsigned newPrecision = std::max(32U, significand.getActiveBits());
|
|
significand = significand.trunc(newPrecision);
|
|
}
|
|
|
|
|
|
void AdjustToPrecision(SmallVectorImpl<char> &buffer,
|
|
int &exp, unsigned FormatPrecision) {
|
|
unsigned N = buffer.size();
|
|
if (N <= FormatPrecision) return;
|
|
|
|
// The most significant figures are the last ones in the buffer.
|
|
unsigned FirstSignificant = N - FormatPrecision;
|
|
|
|
// Round.
|
|
// FIXME: this probably shouldn't use 'round half up'.
|
|
|
|
// Rounding down is just a truncation, except we also want to drop
|
|
// trailing zeros from the new result.
|
|
if (buffer[FirstSignificant - 1] < '5') {
|
|
while (FirstSignificant < N && buffer[FirstSignificant] == '0')
|
|
FirstSignificant++;
|
|
|
|
exp += FirstSignificant;
|
|
buffer.erase(&buffer[0], &buffer[FirstSignificant]);
|
|
return;
|
|
}
|
|
|
|
// Rounding up requires a decimal add-with-carry. If we continue
|
|
// the carry, the newly-introduced zeros will just be truncated.
|
|
for (unsigned I = FirstSignificant; I != N; ++I) {
|
|
if (buffer[I] == '9') {
|
|
FirstSignificant++;
|
|
} else {
|
|
buffer[I]++;
|
|
break;
|
|
}
|
|
}
|
|
|
|
// If we carried through, we have exactly one digit of precision.
|
|
if (FirstSignificant == N) {
|
|
exp += FirstSignificant;
|
|
buffer.clear();
|
|
buffer.push_back('1');
|
|
return;
|
|
}
|
|
|
|
exp += FirstSignificant;
|
|
buffer.erase(&buffer[0], &buffer[FirstSignificant]);
|
|
}
|
|
}
|
|
|
|
void APFloat::toString(SmallVectorImpl<char> &Str,
|
|
unsigned FormatPrecision,
|
|
unsigned FormatMaxPadding) const {
|
|
switch (category) {
|
|
case fcInfinity:
|
|
if (isNegative())
|
|
return append(Str, "-Inf");
|
|
else
|
|
return append(Str, "+Inf");
|
|
|
|
case fcNaN: return append(Str, "NaN");
|
|
|
|
case fcZero:
|
|
if (isNegative())
|
|
Str.push_back('-');
|
|
|
|
if (!FormatMaxPadding)
|
|
append(Str, "0.0E+0");
|
|
else
|
|
Str.push_back('0');
|
|
return;
|
|
|
|
case fcNormal:
|
|
break;
|
|
}
|
|
|
|
if (isNegative())
|
|
Str.push_back('-');
|
|
|
|
// Decompose the number into an APInt and an exponent.
|
|
int exp = exponent - ((int) semantics->precision - 1);
|
|
APInt significand(semantics->precision,
|
|
makeArrayRef(significandParts(),
|
|
partCountForBits(semantics->precision)));
|
|
|
|
// Set FormatPrecision if zero. We want to do this before we
|
|
// truncate trailing zeros, as those are part of the precision.
|
|
if (!FormatPrecision) {
|
|
// It's an interesting question whether to use the nominal
|
|
// precision or the active precision here for denormals.
|
|
|
|
// FormatPrecision = ceil(significandBits / lg_2(10))
|
|
FormatPrecision = (semantics->precision * 59 + 195) / 196;
|
|
}
|
|
|
|
// Ignore trailing binary zeros.
|
|
int trailingZeros = significand.countTrailingZeros();
|
|
exp += trailingZeros;
|
|
significand = significand.lshr(trailingZeros);
|
|
|
|
// Change the exponent from 2^e to 10^e.
|
|
if (exp == 0) {
|
|
// Nothing to do.
|
|
} else if (exp > 0) {
|
|
// Just shift left.
|
|
significand = significand.zext(semantics->precision + exp);
|
|
significand <<= exp;
|
|
exp = 0;
|
|
} else { /* exp < 0 */
|
|
int texp = -exp;
|
|
|
|
// We transform this using the identity:
|
|
// (N)(2^-e) == (N)(5^e)(10^-e)
|
|
// This means we have to multiply N (the significand) by 5^e.
|
|
// To avoid overflow, we have to operate on numbers large
|
|
// enough to store N * 5^e:
|
|
// log2(N * 5^e) == log2(N) + e * log2(5)
|
|
// <= semantics->precision + e * 137 / 59
|
|
// (log_2(5) ~ 2.321928 < 2.322034 ~ 137/59)
|
|
|
|
unsigned precision = semantics->precision + (137 * texp + 136) / 59;
|
|
|
|
// Multiply significand by 5^e.
|
|
// N * 5^0101 == N * 5^(1*1) * 5^(0*2) * 5^(1*4) * 5^(0*8)
|
|
significand = significand.zext(precision);
|
|
APInt five_to_the_i(precision, 5);
|
|
while (true) {
|
|
if (texp & 1) significand *= five_to_the_i;
|
|
|
|
texp >>= 1;
|
|
if (!texp) break;
|
|
five_to_the_i *= five_to_the_i;
|
|
}
|
|
}
|
|
|
|
AdjustToPrecision(significand, exp, FormatPrecision);
|
|
|
|
llvm::SmallVector<char, 256> buffer;
|
|
|
|
// Fill the buffer.
|
|
unsigned precision = significand.getBitWidth();
|
|
APInt ten(precision, 10);
|
|
APInt digit(precision, 0);
|
|
|
|
bool inTrail = true;
|
|
while (significand != 0) {
|
|
// digit <- significand % 10
|
|
// significand <- significand / 10
|
|
APInt::udivrem(significand, ten, significand, digit);
|
|
|
|
unsigned d = digit.getZExtValue();
|
|
|
|
// Drop trailing zeros.
|
|
if (inTrail && !d) exp++;
|
|
else {
|
|
buffer.push_back((char) ('0' + d));
|
|
inTrail = false;
|
|
}
|
|
}
|
|
|
|
assert(!buffer.empty() && "no characters in buffer!");
|
|
|
|
// Drop down to FormatPrecision.
|
|
// TODO: don't do more precise calculations above than are required.
|
|
AdjustToPrecision(buffer, exp, FormatPrecision);
|
|
|
|
unsigned NDigits = buffer.size();
|
|
|
|
// Check whether we should use scientific notation.
|
|
bool FormatScientific;
|
|
if (!FormatMaxPadding)
|
|
FormatScientific = true;
|
|
else {
|
|
if (exp >= 0) {
|
|
// 765e3 --> 765000
|
|
// ^^^
|
|
// But we shouldn't make the number look more precise than it is.
|
|
FormatScientific = ((unsigned) exp > FormatMaxPadding ||
|
|
NDigits + (unsigned) exp > FormatPrecision);
|
|
} else {
|
|
// Power of the most significant digit.
|
|
int MSD = exp + (int) (NDigits - 1);
|
|
if (MSD >= 0) {
|
|
// 765e-2 == 7.65
|
|
FormatScientific = false;
|
|
} else {
|
|
// 765e-5 == 0.00765
|
|
// ^ ^^
|
|
FormatScientific = ((unsigned) -MSD) > FormatMaxPadding;
|
|
}
|
|
}
|
|
}
|
|
|
|
// Scientific formatting is pretty straightforward.
|
|
if (FormatScientific) {
|
|
exp += (NDigits - 1);
|
|
|
|
Str.push_back(buffer[NDigits-1]);
|
|
Str.push_back('.');
|
|
if (NDigits == 1)
|
|
Str.push_back('0');
|
|
else
|
|
for (unsigned I = 1; I != NDigits; ++I)
|
|
Str.push_back(buffer[NDigits-1-I]);
|
|
Str.push_back('E');
|
|
|
|
Str.push_back(exp >= 0 ? '+' : '-');
|
|
if (exp < 0) exp = -exp;
|
|
SmallVector<char, 6> expbuf;
|
|
do {
|
|
expbuf.push_back((char) ('0' + (exp % 10)));
|
|
exp /= 10;
|
|
} while (exp);
|
|
for (unsigned I = 0, E = expbuf.size(); I != E; ++I)
|
|
Str.push_back(expbuf[E-1-I]);
|
|
return;
|
|
}
|
|
|
|
// Non-scientific, positive exponents.
|
|
if (exp >= 0) {
|
|
for (unsigned I = 0; I != NDigits; ++I)
|
|
Str.push_back(buffer[NDigits-1-I]);
|
|
for (unsigned I = 0; I != (unsigned) exp; ++I)
|
|
Str.push_back('0');
|
|
return;
|
|
}
|
|
|
|
// Non-scientific, negative exponents.
|
|
|
|
// The number of digits to the left of the decimal point.
|
|
int NWholeDigits = exp + (int) NDigits;
|
|
|
|
unsigned I = 0;
|
|
if (NWholeDigits > 0) {
|
|
for (; I != (unsigned) NWholeDigits; ++I)
|
|
Str.push_back(buffer[NDigits-I-1]);
|
|
Str.push_back('.');
|
|
} else {
|
|
unsigned NZeros = 1 + (unsigned) -NWholeDigits;
|
|
|
|
Str.push_back('0');
|
|
Str.push_back('.');
|
|
for (unsigned Z = 1; Z != NZeros; ++Z)
|
|
Str.push_back('0');
|
|
}
|
|
|
|
for (; I != NDigits; ++I)
|
|
Str.push_back(buffer[NDigits-I-1]);
|
|
}
|
|
|
|
bool APFloat::getExactInverse(APFloat *inv) const {
|
|
// Special floats and denormals have no exact inverse.
|
|
if (category != fcNormal)
|
|
return false;
|
|
|
|
// Check that the number is a power of two by making sure that only the
|
|
// integer bit is set in the significand.
|
|
if (significandLSB() != semantics->precision - 1)
|
|
return false;
|
|
|
|
// Get the inverse.
|
|
APFloat reciprocal(*semantics, 1ULL);
|
|
if (reciprocal.divide(*this, rmNearestTiesToEven) != opOK)
|
|
return false;
|
|
|
|
// Avoid multiplication with a denormal, it is not safe on all platforms and
|
|
// may be slower than a normal division.
|
|
if (reciprocal.significandMSB() + 1 < reciprocal.semantics->precision)
|
|
return false;
|
|
|
|
assert(reciprocal.category == fcNormal &&
|
|
reciprocal.significandLSB() == reciprocal.semantics->precision - 1);
|
|
|
|
if (inv)
|
|
*inv = reciprocal;
|
|
|
|
return true;
|
|
}
|