update
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120
.CondaPkg/env/Lib/_pydecimal.py
vendored
120
.CondaPkg/env/Lib/_pydecimal.py
vendored
@@ -13,104 +13,7 @@
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# bug) and will be backported. At this point the spec is stabilizing
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# and the updates are becoming fewer, smaller, and less significant.
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"""
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This is an implementation of decimal floating point arithmetic based on
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the General Decimal Arithmetic Specification:
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http://speleotrove.com/decimal/decarith.html
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and IEEE standard 854-1987:
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http://en.wikipedia.org/wiki/IEEE_854-1987
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Decimal floating point has finite precision with arbitrarily large bounds.
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The purpose of this module is to support arithmetic using familiar
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"schoolhouse" rules and to avoid some of the tricky representation
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issues associated with binary floating point. The package is especially
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useful for financial applications or for contexts where users have
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expectations that are at odds with binary floating point (for instance,
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in binary floating point, 1.00 % 0.1 gives 0.09999999999999995 instead
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of 0.0; Decimal('1.00') % Decimal('0.1') returns the expected
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Decimal('0.00')).
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Here are some examples of using the decimal module:
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>>> from decimal import *
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>>> setcontext(ExtendedContext)
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>>> Decimal(0)
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Decimal('0')
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>>> Decimal('1')
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Decimal('1')
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>>> Decimal('-.0123')
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Decimal('-0.0123')
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>>> Decimal(123456)
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Decimal('123456')
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>>> Decimal('123.45e12345678')
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Decimal('1.2345E+12345680')
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>>> Decimal('1.33') + Decimal('1.27')
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Decimal('2.60')
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>>> Decimal('12.34') + Decimal('3.87') - Decimal('18.41')
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Decimal('-2.20')
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>>> dig = Decimal(1)
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>>> print(dig / Decimal(3))
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0.333333333
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>>> getcontext().prec = 18
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>>> print(dig / Decimal(3))
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0.333333333333333333
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>>> print(dig.sqrt())
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1
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>>> print(Decimal(3).sqrt())
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1.73205080756887729
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>>> print(Decimal(3) ** 123)
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4.85192780976896427E+58
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>>> inf = Decimal(1) / Decimal(0)
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>>> print(inf)
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Infinity
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>>> neginf = Decimal(-1) / Decimal(0)
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>>> print(neginf)
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-Infinity
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>>> print(neginf + inf)
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NaN
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>>> print(neginf * inf)
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-Infinity
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>>> print(dig / 0)
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Infinity
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>>> getcontext().traps[DivisionByZero] = 1
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>>> print(dig / 0)
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Traceback (most recent call last):
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...
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...
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...
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decimal.DivisionByZero: x / 0
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>>> c = Context()
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>>> c.traps[InvalidOperation] = 0
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>>> print(c.flags[InvalidOperation])
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0
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>>> c.divide(Decimal(0), Decimal(0))
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Decimal('NaN')
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>>> c.traps[InvalidOperation] = 1
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>>> print(c.flags[InvalidOperation])
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1
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>>> c.flags[InvalidOperation] = 0
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>>> print(c.flags[InvalidOperation])
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0
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>>> print(c.divide(Decimal(0), Decimal(0)))
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Traceback (most recent call last):
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...
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...
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...
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decimal.InvalidOperation: 0 / 0
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>>> print(c.flags[InvalidOperation])
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1
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>>> c.flags[InvalidOperation] = 0
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>>> c.traps[InvalidOperation] = 0
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>>> print(c.divide(Decimal(0), Decimal(0)))
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NaN
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>>> print(c.flags[InvalidOperation])
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1
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>>>
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"""
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"""Python decimal arithmetic module"""
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__all__ = [
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# Two major classes
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@@ -521,7 +424,7 @@ def localcontext(ctx=None, **kwargs):
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# numbers.py for more detail.
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class Decimal(object):
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"""Floating point class for decimal arithmetic."""
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"""Floating-point class for decimal arithmetic."""
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__slots__ = ('_exp','_int','_sign', '_is_special')
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# Generally, the value of the Decimal instance is given by
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@@ -2228,10 +2131,16 @@ class Decimal(object):
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else:
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return None
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if xc >= 10**p:
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# An exact power of 10 is representable, but can convert to a
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# string of any length. But an exact power of 10 shouldn't be
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# possible at this point.
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assert xc > 1, self
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assert xc % 10 != 0, self
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strxc = str(xc)
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if len(strxc) > p:
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return None
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xe = -e-xe
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return _dec_from_triple(0, str(xc), xe)
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return _dec_from_triple(0, strxc, xe)
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# now y is positive; find m and n such that y = m/n
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if ye >= 0:
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@@ -2281,13 +2190,18 @@ class Decimal(object):
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return None
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xc = xc**m
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xe *= m
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if xc > 10**p:
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# An exact power of 10 is representable, but can convert to a string
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# of any length. But an exact power of 10 shouldn't be possible at
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# this point.
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assert xc > 1, self
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assert xc % 10 != 0, self
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str_xc = str(xc)
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if len(str_xc) > p:
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return None
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# by this point the result *is* exactly representable
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# adjust the exponent to get as close as possible to the ideal
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# exponent, if necessary
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str_xc = str(xc)
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if other._isinteger() and other._sign == 0:
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ideal_exponent = self._exp*int(other)
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zeros = min(xe-ideal_exponent, p-len(str_xc))
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