CircuitPython - a Python implementation for teaching coding with microcontrollers https://git.suspectdevices.com/suspect-devices/circuitpython/atom?h=6.0.0-alpha.2 2018-02-26T04:54:03+00:00 2018-02-26T04:54:03+00:00 Damien George damien.p.george@gmail.com 2018-02-26T04:54:03+00:00 urn:sha1:6dad0885692f8d1e743873fb4be241f1fd1cb91a Float parsing (both single and double precision) may have a relative error of order the floating point precision, so adjust tests to take this into account by not printing all of the digits of the answer. 2018-02-08T03:02:50+00:00 Damien George damien.p.george@gmail.com 2018-02-08T03:02:50+00:00 urn:sha1:b75cb8392bdf5f8c12072eac3adbdaad53d1e8d2 Prior to this patch, a float literal that was close to subnormal would have a loss of precision when parsed. The worst case was something like float('10000000000000000000e-326') which returned 0.0. 2017-11-27T01:51:52+00:00 Damien George damien.p.george@gmail.com 2017-11-27T01:51:52+00:00 urn:sha1:84895f1a210d0037a86887f0f647570bdf40afa2 This patch improves parsing of floating point numbers by converting all the digits (integer and fractional) together into a number 1 or greater, and then applying the correct power of 10 at the very end. In particular the multiple "multiply by 0.1" operations to build a fraction are now combined together and applied at the same time as the exponent, at the very end. This helps to retain precision during parsing of floats, and also includes a check that the number doesn't overflow during the parsing. One benefit is that a float will have the same value no matter where the decimal point is located, eg 1.23 == 123e-2.