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Trending Discussions on rngs
QUESTION
I'm trying to create a pseudo-random generator API, but numbers generated by xorshift have unrandom nature. You can see the algorithm and tests here:
...ANSWER
Answered 2021-Jun-14 at 09:54You're looking at random numbers uniformly distributed between 0 and 18,446,744,073,709,551,615 (UINT64_MAX). All numbers between 10,000,000,000,000,000,000 and 18,446,744,073,709,551,615 start with a 1, so the skewed distribution is to be expected.
QUESTION
I have done extensive research on SO and google but not coming up with a solution. While this question may have been asked earlier, my situation is slightly different
The function works fine if there is a space between the text and numbers. However, does not work if there aren't any spaces.
...ANSWER
Answered 2021-Jun-03 at 16:24Well, depening on your data, you could try:
QUESTION
This is a follow-up to How can I input an integer seed for producing random numbers using the rand crate in Rust?. In this answer, it is stated that if reproducibility across builds and architectures is desired,
then look at crates such as
rand_chacha
,rand_pcg
,rand_xoshiro
The same is stated in the documentation for StdRng
:
The algorithm is deterministic but should not be considered reproducible due to dependence on configuration and possible replacement in future library versions. For a secure reproducible generator, we recommend use of the rand_chacha crate directly.
I have looked at these crates, but I have not found out how to use them for my use case. I am looking for a small sample showing how one of these crates can be used for generating a sequence of pseudo-random numbers, that are always the same for a given seed.
...ANSWER
Answered 2021-May-12 at 11:38An example using rand_chacha::ChaCha8Rng
:
QUESTION
I'm using OpenMP to parallelize some union operation on Boost::geometry polygons (BPolygon
).
However I am stumbling over very strange exceptions that only occur from time to time (despite my RNGs being seeded with the same seed) so I wonder whether I'm ignoring some undefined behaviors with OpenMP parallelization and containers...
The code is part of a large and rather complex ensemble so I cannot really provide a MWE but the relevant parts are as follow:
...ANSWER
Answered 2021-Apr-16 at 14:31Thank to the comments, I realized that my idea about containers being thread-safe was wrong (well they are safe to read but not to modify).
Assignments and call to push_back
must be wrapped in
QUESTION
Follow-up question for IEEE 754 conformant sqrt() implementation for double type.
Context: Need to implement IEEE 754 conformant sqrtf()
taking into account the following HW restrictions and usage limitations:
Provides a special instruction
qseed.f
to get an approximation of the reciprocal of the square root (the accuracy of the result is no less than 6.75 bits, and therefore always within ±1% of the accurate result).Single precision FP:
a. Support by HW (SP FPU): has support;
b. Support by SW (library): has support;
c. Support of subnormal numbers: no support (
FLT_HAS_SUBNORM
is 0).Double precision FP:
a. Support by HW (DP FPU): no support;
b. Support by SW (library): has support;
c. Support of subnormal numbers: no support (
DBL_HAS_SUBNORM
is 0).
I've found one presentation by John Harrison and ended up with this implementation (note that here qseed.f
is replaced by rsqrtf()
):
ANSWER
Answered 2021-Mar-24 at 23:52Computing a single-precision square root via double-precision code is going to be inefficient, especially if the hardware provides no native double-precision operations.
The following assumes hardware that conforms to IEEE-754 (2008), except that subnormals are not supported and flushed to zero. Fused-multiply add (FMA) is supported. It further assumes an ISO-C99 compiler that maps float
to IEEE-754 binary32
, and that maps the hardware's single-precision FMA instruction to the standard math function fmaf()
.
From a hardware starting approximation for the reciprocal square root with a maximum relative error of 2-6.75 one can get to a reciprocal square root accurate to 1 single-precision ulp with two Newton-Raphson iterations. Multiplying this with the original argument provides an accurate estimate of the square root. The square of this approximation is subtracted from the orginal argument to compute the approximation error for the square root. This error is then used to apply a correction to the square root approximation, resulting in a correctly-rounded square root.
However, this straightforward algorithm breaks down for arguments that are very small due to underflow or overflow in intermediate computation, in particular when the underlying arithmetic operates in flash-to-zero mode that flushes subnormals to zero. For such arguments we can construct a slowpath code that scales the input towards unity, and scales back the result accordingly once the square root has been computed. Code for handling special operands such as zeros, infinities, NaNs, and negative arguments other than zero is also added to this slowpath code.
The NaN generated by the slowpath code for invalid operations should be adjusted to match the system's existing operations. For example, for x86-based systems this would be a special QNaN called INDEFINITE, with a bit pattern of 0xffc00000
, while for a GPU running CUDA it would be the canonical single-precision NaN with a bit pattern of 0x7fffffff
.
For performance reasons it may be useful to inline the fastpath code while making the slowpath code a called outlined subroutine. Single-precision math functions with a single argument should always be tested exhaustively against a "golden" reference implementation, which takes just minutes on modern hardware.
QUESTION
Honestly I don't have a question. I just wanted to make this script available to anyone who might find it difficult to create tables from Google Spreadsheets. If you have a better one and want to share it feel free to provide another answer.
redact.gs:
...ANSWER
Answered 2021-Mar-23 at 22:29This code allows you to copy data from your spreadsheet, redact it, align each column independently and then post it in to SO with the appropriate markdown to make a nice looking table.
The Code:
redact.gs:
QUESTION
When I tried to implement the SkipList by rust, I was trapped by the implement of Iterator
of Rc>
. Code is listed:
ANSWER
Answered 2021-Feb-27 at 15:02Is there a elegant implement of the Iterator for the Rc in Rust?
Not really. There's two big things in your way.
One limitation when building an Iterator
is that the output type cannot reference the iterator itself. It can either return an owned value (no lifetimes involved) or return references bound to the lifetime of some other object.
I see you've tried to communicate that you want to return Ref
s bound to the lifetime of the orignal SkipList
by using PhantomData<&'a K>
and also using 'a
in your Iterator::Item
. However, since your iterator can only source values from ptr
, an owned value with no lifetime-linkage to 'a
, the compiler will complain about mismatched lifetimes at one point or another.
In order to do this, your iterator would have to use something bound to 'a
, probably some form of Option<'a, _>>
.
However, another limitation is when you have nested RefCell
s, with each level that you iterate, you need to keep around an additional Ref
. The reason being that borrows from a Ref
don't keep the lifetime of the RefCell
, but from the Ref
itself.
QUESTION
This code works fine for vectors of exact length 32 - however, if 32 is changed to some other number, such as 16 or 64, then there is a mismatched type error:
...ANSWER
Answered 2021-Feb-17 at 15:39I have found a solution which involves using the OpenSSL crate to first make a hash of the N-length vector, then use the resulting hash as the random seed:
QUESTION
This is a problem I've run into when developing something, and it's a hard question to phrase. So it's best with an simple example:
Imagine you have 4 random number generators which generate an array of size 4:
...ANSWER
Answered 2021-Jan-12 at 19:11#use a helper list
rng = np.random.RandomState(42)
mask = np.zeros(10, dtype=bool) # True if generator is being masked
ndxLst=list(range(mask.size))
maskHistory=[]
for _ in range(mask.size):
arr = rng.randint(100, size=(~mask).sum())
unadjusted_max_value_idx = arr.argmax()
adjusted_max_value_idx=ndxLst.pop(unadjusted_max_value_idx)
mask[adjusted_max_value_idx] = True
maskHistory.append(adjusted_max_value_idx)
print(maskHistory)
print(mask)
QUESTION
I've been trying to implement the example given in the following doc: https://docs.rs/ed25519-dalek/1.0.1/ed25519_dalek/
My code is simply:
...ANSWER
Answered 2021-Jan-04 at 12:41Usually when you get these confusing messages saying "trait bound not met" when it's clearly met, or "wrong type" when it's clearly the right type, you should always check package versions. As of right now (ed25519-dalek v1.0.1), it depends on rand 0.7.0 (you can also find this on crates.io). You're using a newer version of rand, with a "newer" version of the trait, and it's looking for the 0.7.0 trait while you supply the 0.8.0 trait.
The solution? Either downgrade rand to 0.7.0 or use dependency renaming to have 2 versions of rand, and use the old version for ec25519-dalek.
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