usse/funda-scraper/venv/lib/python3.10/site-packages/geographiclib/accumulator.py

88 lines
3.1 KiB
Python

"""accumulator.py: transcription of GeographicLib::Accumulator class."""
# accumulator.py
#
# This is a rather literal translation of the GeographicLib::Accumulator class
# from to python. See the documentation for the C++ class for more information
# at
#
# https://geographiclib.sourceforge.io/html/annotated.html
#
# Copyright (c) Charles Karney (2011-2019) <charles@karney.com> and
# licensed under the MIT/X11 License. For more information, see
# https://geographiclib.sourceforge.io/
######################################################################
from geographiclib.geomath import Math
class Accumulator:
"""Like math.fsum, but allows a running sum"""
def Set(self, y):
"""Set value from argument"""
if isinstance(y, Accumulator):
self._s, self._t = y._s, y._t
else:
self._s, self._t = float(y), 0.0
def __init__(self, y = 0.0):
"""Constructor"""
self._s = self._t = 0.0
self.Set(y)
def Add(self, y):
"""Add a value"""
# Here's Shewchuk's solution...
# hold exact sum as [s, t, u]
y, u = Math.sum(y, self._t) # Accumulate starting at
self._s, self._t = Math.sum(y, self._s) # least significant end
# Start is _s, _t decreasing and non-adjacent. Sum is now (s + t + u)
# exactly with s, t, u non-adjacent and in decreasing order (except
# for possible zeros). The following code tries to normalize the
# result. Ideally, we want _s = round(s+t+u) and _u = round(s+t+u -
# _s). The follow does an approximate job (and maintains the
# decreasing non-adjacent property). Here are two "failures" using
# 3-bit floats:
#
# Case 1: _s is not equal to round(s+t+u) -- off by 1 ulp
# [12, -1] - 8 -> [4, 0, -1] -> [4, -1] = 3 should be [3, 0] = 3
#
# Case 2: _s+_t is not as close to s+t+u as it shold be
# [64, 5] + 4 -> [64, 8, 1] -> [64, 8] = 72 (off by 1)
# should be [80, -7] = 73 (exact)
#
# "Fixing" these problems is probably not worth the expense. The
# representation inevitably leads to small errors in the accumulated
# values. The additional errors illustrated here amount to 1 ulp of
# the less significant word during each addition to the Accumulator
# and an additional possible error of 1 ulp in the reported sum.
#
# Incidentally, the "ideal" representation described above is not
# canonical, because _s = round(_s + _t) may not be true. For
# example, with 3-bit floats:
#
# [128, 16] + 1 -> [160, -16] -- 160 = round(145).
# But [160, 0] - 16 -> [128, 16] -- 128 = round(144).
#
if self._s == 0: # This implies t == 0,
self._s = u # so result is u
else:
self._t += u # otherwise just accumulate u to t.
def Sum(self, y = 0.0):
"""Return sum + y"""
if y == 0.0:
return self._s
b = Accumulator(self)
b.Add(y)
return b._s
def Negate(self):
"""Negate sum"""
self._s *= -1
self._t *= -1
def Remainder(self, y):
"""Remainder on division by y"""
self._s = Math.remainder(self._s, y)
self.Add(0.0)