fix incorrect folder name for julia-0.6.x
Former-commit-id: ef2c7401e0876f22d2f7762d182cfbcd5a7d9c70
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julia-0.6.3/share/julia/base/grisu/fastprecision.jl
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julia-0.6.3/share/julia/base/grisu/fastprecision.jl
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# This file is a part of Julia, but is derived from
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# https://github.com/google/double-conversion which has the following license
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#
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# Copyright 2006-2014, the V8 project authors. All rights reserved.
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are
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# met:
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#
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# * Redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above
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# copyright notice, this list of conditions and the following
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# disclaimer in the documentation and/or other materials provided
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# with the distribution.
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# * Neither the name of Google Inc. nor the names of its
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# contributors may be used to endorse or promote products derived
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# from this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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function roundweed(buffer,len,rest,tk,unit,kappa)
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unit >= tk && return false, kappa
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tk - unit <= unit && return false, kappa
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tk - rest > rest && (tk - 2 * rest >= 2 * unit) && return true, kappa
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if rest > unit && (tk - (rest - unit) <= (rest - unit))
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buffer[len-1] += 1
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for i = (len-1):-1:2
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buffer[i] != 0x30 + 10 && break
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buffer[i] = 0x30
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buffer[i-1] += 1
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end
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if buffer[1] == 0x30 + 10
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buffer[1] = 0x31
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kappa += 1
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end
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return true, kappa
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end
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return false, kappa
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end
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function digitgen(w,buffer,requested_digits=1000)
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unit::UInt64 = 1
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one = Float(unit << -w.e, w.e)
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integrals = w.s >> -one.e
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fractionals = w.s & (one.s-1)
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divisor, kappa = bigpowten(integrals, 64 + one.e)
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len = 1
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rest = 0
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while kappa > 0
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digit = div(integrals,divisor)
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buffer[len] = 0x30 + digit
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len += 1
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requested_digits -= 1
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integrals %= divisor
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kappa -= 1
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if requested_digits == 0
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rest = (UInt64(integrals) << -one.e) + fractionals
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r, kappa = roundweed(buffer, len, rest, UInt64(divisor) << -one.e,
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unit,kappa)
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return r, kappa, len
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end
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divisor = div(divisor,10)
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end
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while requested_digits > 0 && fractionals > unit
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fractionals *= 10
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unit *= 10
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digit = fractionals >> -one.e
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buffer[len] = 0x30 + digit
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len += 1
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requested_digits -= 1
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fractionals &= one.s - 1
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kappa -= 1
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end
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requested_digits != 0 && return false, kappa, len
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r, kappa = roundweed(buffer,len,fractionals,one.s,
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unit,kappa)
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return r, kappa, len
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end
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function fastprecision(v, requested_digits, buffer = Vector{UInt8}(100))
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f = normalize(Float64(v))
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ten_mk_min_exp = kMinExp - (f.e + FloatSignificandSize)
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ten_mk_max_exp = kMaxExp - (f.e + FloatSignificandSize)
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cp = binexp_cache(ten_mk_min_exp,ten_mk_max_exp)
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scaled_w = f * cp
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r, kappa, len = digitgen(scaled_w,buffer,requested_digits)
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decimal_exponent = -cp.de + kappa
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return r, len, decimal_exponent+len-1
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end
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