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@ -427,7 +427,7 @@ yield the same result, and it is also about half of the precision
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available to a python float. In the general case, a good numerical
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algorithm is not expected to lose more than about half of available
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digits of accuracy, and if a much larger tolerance is acceptable, the
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user should be considering the proper value in that case. Thus 1-e9 is
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user should be considering the proper value in that case. Thus 1e-9 is
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expected to "just work" for many cases.
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Absolute tolerance default
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@ -447,7 +447,7 @@ appropriate value.
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It was suggested that comparing to zero is, in fact, a common use case
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(evidence suggest that the numpy functions are often used with zero).
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In this case, it would be desirable to have a "useful" default. Values
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around 1-e8 were suggested, being about half of floating point
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around 1e-8 were suggested, being about half of floating point
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precision for values of around value 1.
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However, to quote The Zen: "In the face of ambiguity, refuse the
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