Previously, the `rand` and `rustc-serialize` dependencies were optional
except they were required for the `bigint` feature.
Make the dependency on the `rand` crate optional in all cases.
including when the `bigint` feature is selected. Some of the tests for
the bigint feature are randomized so, while `rand` is now an optional
dependency, it is a non-optional dev-dependency.
Similarly, make the dependency on the `rustc-serialize` crate optional
in all cases, including when the `bigint` feature is selected.
We can save a multiplication if we start the accumulation basically at
the first set bit of the exponent, rather than starting at one and
waiting to multiply. We only need one itself if the exponent is zero,
which is easy to pre-check.
Before:
test pow_bench ... bench: 8,267,370 ns/iter (+/- 93,319)
After:
test pow_bench ... bench: 7,506,463 ns/iter (+/- 116,311)
The default implementations of to_f32, to_f64, from_32 and from_f64 are
limited to numbers fitting in i64 but BigInt can of course be much bigger.
The default to_f32 also has double rounding.
from_f32 and from_f64 have undefined behaviour if the float is too big to
fit in an i64.
This fixes these issues and keeps the rounding consistant with other float
to int conversions.
Also add ToBigUint and ToBigInt implementations for f32 and f64.
The hidden "mod test" layout of the first example has been broken for a
while, but it wasn't noticed because rustdoc wasn't passing any features
at all. That was fixed in rust-lang/rust#30372, and now we need to get
our ducks in a row too.
bigint: simplify Hash
There cannot be any leading zeros in a BigUint so just derive Hash which will just hash the Vec directly.
Add Hash to Sign so we can derive it for BigInt as well.
There cannot be any leading zeros in a BigUint so just derive Hash which will just hash the Vec directly.
Add Hash to Sign so we can derive it for BigInt as well.
The main idea here is to do as much as possible with slices, instead of
allocating new BigUints (= heap allocations).
Current performance:
multiply_0: 10,507 ns/iter (+/- 987)
multiply_1: 2,788,734 ns/iter (+/- 100,079)
multiply_2: 69,923,515 ns/iter (+/- 4,550,902)
After this patch, we get:
multiply_0: 364 ns/iter (+/- 62)
multiply_1: 34,085 ns/iter (+/- 1,179)
multiply_2: 3,753,883 ns/iter (+/- 46,876)
Since the Num constraint only requires val-val ops, we ended up cloning
everything in Complex ops when they were forwarded to ref-ref. By using
val-val, we can reduce how often clones are needed.
Implement arithmetic with real for complex
Hello,
It might be handy to be able to perform basic arithmetic operations in expressions mixing complex numbers and numeric primitives; see #116. I would be grateful for any feedback, especially regarding the subsets of primitives for which certain operations are implemented.
Regards,
Ivan
- Use explicit asserts for should-panic tests, since overflow is not
checked in release mode.
- Add positive tests where gcd min_value() can be represented.
- In all cases, test min_value() in both positions.
Closes#127
Removing extra parentheses in a for loop fixes this warning:
src/bigint.rs:1636:18: 1636:31 warning: unnecessary parentheses around `for` head expression, #[warn(unused_parens)] on by default
Brian Smith
Josh Stone
Łukasz Jan Niemier
Oliver Middleton
Homu
Kent Overstreet
Murarth
Abhishek Chanda
Ivan Ukhov
David Ripton
William Rieger
Emerentius
Gustorn