query: numpy round doesn't produce the required answer
positive_passages.docid: 43
positive_passages.text: Is floating point math broken?
negative_passages.docid: 158262
negative_passages.text: Why do Numpy.all() and any() give wrong results if you use generator expressions?
negative_passages.docid: 148663
negative_passages.text: math.random, only generating a 0?
negative_passages.docid: 81502
negative_passages.text: Getting different output from seemingly identical calculations
negative_passages.docid: 18215
negative_passages.text: NDSolve with Piecewise gives the incorrect answer randomly
negative_passages.docid: 148415
negative_passages.text: Fourier package causes equation to not show up properly
negative_passages.docid: 21709
negative_passages.text: Nsolve gives solutions with a small complex part which can't be eliminated by chop command
negative_passages.docid: 128278
negative_passages.text: How to prevent Round with hidden fractions
negative_passages.docid: 95289
negative_passages.text: Is this the most efficient way to round approximate integers to integers while leaving other Reals untouched?
negative_passages.docid: 82710
negative_passages.text: Python function returns None (all trivial solutions checked and they do not work)
negative_passages.docid: 25400
negative_passages.text: Why are floating point numbers inaccurate?
negative_passages.docid: 51365
negative_passages.text: Why dividing two integers doesn't get a float?
negative_passages.docid: 105944
negative_passages.text: Position function not always returning an answer even with no apparent problems
negative_passages.docid: 109055
negative_passages.text: Round number up to the nearest multiple of 3
negative_passages.docid: 136404
negative_passages.text: Rounding Percentages
negative_passages.docid: 40006
negative_passages.text: Round a double to x significant figures
negative_passages.docid: 59000
negative_passages.text: How to round to at most 2 decimal places, if necessary?