stoke | STOKE : A stochastic superoptimizer and program synthesizer
kandi X-RAY | stoke Summary
kandi X-RAY | stoke Summary
STOKE is a stochastic optimizer and program synthesizer for the x86-64 instruction set. STOKE uses random search to explore the extremely high-dimensional space of all possible program transformations. Although any one random transformation is unlikely to produce a code sequence that is desirable, the repeated application of millions of transformations is sufficient to produce novel and non-obvious code sequences. STOKE can be used in many different scenarios, such as optimizing code for performance or size, synthesizing an implementation from scratch or to trade accuracy of floating point computations for performance. As a superoptimizer, STOKE has been shown to outperform the code produced by general-purpose and domain-specific compilers, and in some cases expert hand-written code. In addition to searching over programs, STOKE contains verification infrastructure to show the equivalence between x86-64 programs. STOKE can consider test-cases, perform bounded verification all the way to fully formal verification that shows the equivalence for all possible inputs.
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QUESTION
I'm very stoked about Remix.run, but there's one thing I really don't get. In the technical explanation of the Framework it says:
"While Remix runs on the server, it is not actually a server. It's just a handler that is given to an actual JavaScript server. It's built on the Web Fetch API instead of Node.js. This enables Remix to run in any Node.js server like Vercel, Netlify, Architect, etc. as well as non-Node.js environments like Cloudflare Workers and Deno Deploy."
So.. is the backend a Node.js server or not? If not.. how can it execute JS in the backend? I think it a bit contradictory in the above explanation.
...ANSWER
Answered 2022-Apr-12 at 08:45Remix is build with a lot of different adapters (not sure if that is the official term, but the idea of adapter is fitting). This allows remix to swap out parts of its architecture to make Remix "fit". Examples of those adapter packages are remix-vercel, remix-express, and so on. They all serve te purpose of converting the different interfaces of the requests/events on those platforms to the request/response model of Remix (thus fetch).
All the previous mentioned adapters are Node-based environments, but Remix also has some adapters for non-node environments. For example remix-clouflare-workers is an adapter designed to make the Cloudflare Workers environment play nice with Remix. Cloudflare Workers are not running on Node, in fact its not even a server but just javascript functions being triggered by events. Workers are running directly on the V8 Javascript Engine, the engine that is used by Chrome and Node to run JavaScript.
So yes, Remix can run in NodeJS environments as a server, but because of its adapter architecture, it can also provide adapters for non NodeJS environments, and be (serverless) functions, etc.
Fun fact, even remix-react is a seperate package (adapter), allowing the Remix team (or community) to implement adapters for other front end frameworks in the future!
QUESTION
The error is occurring when I try to sort this data list:
...ANSWER
Answered 2022-Apr-01 at 04:28In base Python, we can try sorting using a lambda expression:
QUESTION
ANSWER
Answered 2022-Feb-21 at 10:56You can use SVG clipPath and animation to reach this effect, take a look at Code snippet:
Take a look at comments in code for more details.
Regarding clipPathUnits="objectBoundingBox" take a look at this DOC page. Regarding SVG animation take a look at this page.
QUESTION
I have a Cassandra table stokes
which has 4 columns ( item(text) ,market ( text ) , location( text ) , time ( timestamp ) , value( int) )
item is a partition key and market , location and time is a clustering key in same order .
ANSWER
Answered 2022-Feb-22 at 08:43For the first app query, the partition key is item
and both market
and location
are clustering columns:
QUESTION
I have a simple fuction which fills the drawn image if the user chooses to
...ANSWER
Answered 2022-Feb-10 at 23:20I tried a few approaches: setting stroke opacity to zero and trying to get rid of the stroke altogether.
what works best is adding
QUESTION
I have added the borders for all sides using code below in SwiftUI. I want to trim stroke a particular position like below.
Want to achieve:-
Output:-
Code:-
...ANSWER
Answered 2022-Jan-06 at 16:55The possible approach is to prepare needed shape using Arc
and then rotate it to what ever position needed.
Demo prepared with Xcode 13.2 / iOS 15.2
QUESTION
I have searched and searched and not found what I would think was a common question. Which makes me think I'm going about this wrong. So I humbly ask these two versions of the same question.
I have a list of currency names, as strings. A short version would look like this:
...ANSWER
Answered 2021-Dec-11 at 09:04Do you want something like this?
QUESTION
I have a data set with played football games and I'm trying to look more closely into the games played by each team at home. Therefore, I am trying to create a column for every team with a counter that tracks the consecutive wins. The following logic should apply:
- If win: increase counter += 1
- If tie: keep counter
- If loss: decrease counter -= 1
ANSWER
Answered 2021-Dec-10 at 15:38Avoid loop, especially iterrows
when you can.
You need to map the Home result
to respective value, then cumsum:
QUESTION
I have this table:
...ANSWER
Answered 2021-Nov-11 at 17:47We may use a strindist
join
QUESTION
I am trying to use a custom loss function in my Keras
sequential model (TensorFlow 2.6.0). This custom loss (ideally) will calculate the data loss plus the residual of a physical equation (say, diffusion equation, Navier Stokes, etc.). This residual error is based on the model output derivative wrt its inputs and I want to use GradientTape
.
In this MWE, I removed the data loss term and other equation losses, and just used the derivative of the output wrt its input. The dataset can be found here.
...ANSWER
Answered 2021-Oct-18 at 07:04The problem seems to come from model.input in the loss function, If I understand your code correctly, you can use the loss :
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