Only use number representation with reduced precision if it is shorter than the initial representation.
Before it could happen that "123" was replaced with "1e3" if precision was set to 1 which is obviously not desirable.
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1 changed files with 17 additions and 4 deletions
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@ -2623,6 +2623,16 @@ def scourUnitlessLength(length, needsRendererWorkaround=False): # length is of
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if not isinstance(length, Decimal):
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length = getcontext().create_decimal(str(length))
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# remove trailing zeroes as we do not care for significance
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intLength = length.to_integral_value()
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if length == intLength:
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length = Decimal(intLength)
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else:
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length = length.normalize()
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# Gather the initial non-scientific notation version of the coordinate (we want to compare with it later)
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initial_value = '{0:f}'.format(length)
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# reduce numeric precision
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# plus() corresponds to the unary prefix plus operator and applies context precision and rounding
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length = scouringContext.plus(length)
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@ -2641,6 +2651,7 @@ def scourUnitlessLength(length, needsRendererWorkaround=False): # length is of
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nonsci = nonsci[1:] # remove the 0, leave the dot
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elif len(nonsci) > 3 and nonsci[:3] == '-0.':
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nonsci = '-' + nonsci[2:] # remove the 0, leave the minus and dot
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return_value = nonsci
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# Gather the scientific notation version of the coordinate which
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# can only be shorter if the length of the number is at least 4 characters (e.g. 1000 = 1e3).
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@ -2653,11 +2664,13 @@ def scourUnitlessLength(length, needsRendererWorkaround=False): # length is of
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sci = six.text_type(length) + 'e' + six.text_type(exponent)
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if len(sci) < len(nonsci):
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return sci
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return_value = sci
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# Return the shortest representation (if they are equal prefer the original as it still has the full precision)
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if len(return_value) < len(initial_value):
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return return_value
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else:
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return nonsci
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else:
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return nonsci
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return initial_value
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def reducePrecision(element):
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