hyperspace | open source indexing subsystem that brings index
kandi X-RAY | hyperspace Summary
kandi X-RAY | hyperspace Summary
An open source indexing subsystem that brings index-based query acceleration to Apache Spark and big data workloads.
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Trending Discussions on hyperspace
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.fto 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_SUBNORMis 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_SUBNORMis 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
I need your help on this! I'm generating an array which corresponds to a question number.
...ANSWER
Answered 2020-Oct-01 at 15:55Nicolas, this is what I think you should be doing:
QUESTION
I'm trying to work with Microsofts Hyperspace application.
In order to make it work with Python I need to install the module called Hyperspace.
When I implement the code from hyperspace import * I get the following error:
ANSWER
Answered 2020-Sep-15 at 17:21The module isn't supported on Databricks
QUESTION
My team and I are currently developing a Mastodon client in SwiftUI and I've got a simple StatusView where I display all the post data, which currently looks like this:
This view, known on my project as StatusView, has two NavigationLinks: The main one, that redirects the user to the post's thread, and one that redirects the user to the post's author's profile when the post's profile picture is tapped.
Until here, everything works fine. If you tap anywhere on the post that aren't the buttons (like, boost, and share) or the profile picture, it opens the thread. If you tap on the profile picture, it opens the author's profile.
But if you tap below the profile picture, the app crashes, only giving me the following error:
...ANSWER
Answered 2020-Aug-24 at 08:58Here is a demo of possible solution on some replicated scenario (because provided code is not testable as-is). The idea is to reuse one NavigationLink but with different destinations depending on activation place.
Tested with Xcode 12 / iOS 14
QUESTION
I have a python list question_text_list created containing string of characters (texts) retrieved from a csv file
...ANSWER
Answered 2020-Jul-04 at 14:53You can use:
QUESTION
I've revised the question, in the hope of getting a clearer answer.
I'm trying to process data in ExpressJS, based on the incoming req.body and the existing data in the table.
I'm receiving a req.body that contains a JSON list of updated fields. Some of those fields are stored as JSONB in Postgres. If an incoming field is JSONB, then the form (external code) that is making the request has already run a jsonpatch.compare() to generate the list of patches, and it is these patches and not the full values that are being passed in. For any non-JSONB values, incoming values just need to be passed through to the UPDATE query.
I have a working version, as below, that pretends that the existing JSONB values in the table ARE NULL. Clearly, this is NOT what is needed. I need to pull the values from the db. The non-querying-of-current-values version and a bare minimum router, looks like this:
...ANSWER
Answered 2020-Apr-11 at 07:16In case anyone is still awake, here's a working solution to my issue.
TLDR; RTFM: A pooled client with async/await minus the pooling (for now).
QUESTION
I get an error of Warning: require_once(Composer/PHPMailer/vendor/phpmailer/phpmailer/src/autoload.php): failed to open stream: No such file or directory in /home/hyperspace/public_html/contact.php on line 5 and Fatal error: require_once(): Failed opening required 'Composer/PHPMailer/vendor/phpmailer/phpmailer/src/autoload.php' (include_path='.:/opt/alt/php72/usr/share/pear') in /home/hyperspace/public_html/contact.php on line 5, I do not have root access to my cpanel. You can check the error at http://hyperspacedesigns.co.za/contact.php. My code that I use is:
...ANSWER
Answered 2020-Mar-17 at 12:47You're not using composer correctly; this line is wrong:
QUESTION
I would like to compute the Earth Mover Distance between two 2D arrays (these are not images).
Right now I go through two libraries: scipy (https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.wasserstein_distance.html) and pyemd (https://pypi.org/project/pyemd/).
...ANSWER
Answered 2020-Feb-13 at 17:18So if I understand you correctly, you're trying to transport the sampling distribution, i.e. calculate the distance for a setup where all clusters have weight 1. In general, you can treat the calculation of the EMD as an instance of minimum cost flow, and in your case, this boils down to the linear assignment problem: Your two arrays are the partitions in a bipartite graph, and the weights between two vertices are your distance of choice. Assuming that you want to use the Euclidean norm as your metric, the weights of the edges, i.e. the ground distances, may be obtained using scipy.spatial.distance.cdist, and in fact SciPy provides a solver for the linear sum assignment problem as well in scipy.optimize.linear_sum_assignment (which recently saw huge performance improvements which are available in SciPy 1.4. This could be of interest to you, should you run into performance problems; the 1.3 implementation is a bit slow for 1000x1000 inputs).
In other words, what you want to do boils down to
QUESTION
I am trying to create my first linear regressor using Tensor Flow (without the help of estimators), and in each iteration, I only see a cost value of NaN. I think I am not doing something right, but unable to zero in on the issue. Can someone please help me troubleshoot the problem?
I am using the CA housing dataset
...ANSWER
Answered 2019-Aug-27 at 09:51Your issue comes from the pd.read_csv(...) function. I swapped it for the NumPy version (I am not familiar with Pandas) and it works like a charm. Here is the whole snippet:
QUESTION
I've just spent quite a lot of time debugging an obscure memory corruption problem in one of my programs. It essentially boils down to a function which returns a structure by value being called in a way which passes it into an object constructor. Pseudocode follows.
...ANSWER
Answered 2019-Aug-24 at 20:42First, reference binding does “extend lifetime” here—but only to the lifetime of the constructor parameter (which is no longer than that of the temporary materialized anyway). s(ref) isn’t binding an object (since ref is, well, already a reference), so no further extension occurs.
It’s therefore possible to perform the extension you expected via aggregate initialization:
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