The following list is not up to date: See also various .pm files. General: * Copy on write (helps for $x = -$x; cases etc) (seems to make it slower :/ * run config() and die_on_nan() tests under Subclass.pm Math::BigFloat: * finish downgrading (and upgrading?) * ! bround()/bfround(): some bugs may lurk in there * accuracy() & precision() maybe not finished (bnorm() in every op, testcases) * do not reduce numbers in new(), rather do it in anything that outputs it like bsstr(), bstr(), mantissa(), exponent() and parts(). Reducing the number after each op is slow with a binary core math lib like BitVect. * add bfract() that returns just the fractional part? * tests for frsft() and flsft() with $n != 2 * blog() is still quite slow for non-integer results. See if we can reuse the integer calculation somehow * finish broot() by using different algorithm Math::BigInt: * finish upgrading (and downgrading?) * Better testing of upgrading, e.g., Math::BigInt->bmod($x,$y) where $x and $y are Math::BigFloat objects. * Finite non-integers should be handled consistently. The may appear as input and as a result of a computation. Alternatives are: round, truncate, die, and return NaN. * finish 'upgrade' * remove rounding overhead when no rounding is done, e.g. no $object has A nor P and neither of bround(), bround(), accuracy() or precision() was called * bround() is only used by MBF for -$scale = -$len, anyway. POD is wrong for this, too * overload of cos()/sin()/exp()/atan2() is too DWIM (should return BigInt or BigFloat, not scalar) - also document it * +5 % 0 or -5 % 0 == NaN (should it be something else?) * certain shortcuts returning bzero(), bone() etc may not set the requested rounding parameters, so that $x->foo($y,$a,$p,$r) may return $x without a set $a or $p, thus failing later on: use Test; BEGIN { plan tests => 1; } use Math::BigInt; $x = Math::BigInt->bone(); $x->bsqrt(3,0,'odd'); # $x = 0, but _a is not 3! ok ($x + '12345','12300'); # fails (12346 instead of 12300) The shortcuts in code that return $x->bzero() or similar things need to do $x->bzero($a,$p); and this needs tests. Update: Should now work for most things. Check for completeness. Given the fact that we are be able to plug-in a much faster core-lib, the following are pretty much ultra-low-priority: Math::BigInt::Calc: * look at div() for more speed (I have the hunch that the general _div() routine does way too much work for normal div (e.g. when we don't need the reminder). A simplified version could take care of this. * alternative mul() method using shifts * implement in Calc (and GMP etc) to calculate band(), bior(), bxor() for negative inputs (_signed_or() etc) * _root() doesn't scale too well Please send me test-reports, your experiences with this and your ideas - I love to hear about my work!