S-array | Utility methods for working with arrays in S.js
kandi X-RAY | S-array Summary
kandi X-RAY | S-array Summary
Utility methods for working with arrays in S.js
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Top functions reviewed by kandi - BETA
- Works like map
- Initialize a new SArray .
- Iterates over all items in the current set
- Execute all mutations in sequence .
- Rotate the chain .
- Creates an ordering function .
- 4 . 4 mutations
- Creates new sequence
- Remove all values from an item .
- Maps a sequence to a sequence .
S-array Key Features
S-array Examples and Code Snippets
Community Discussions
Trending Discussions on S-array
QUESTION
I have the following JSON. I want to change the keyName 'freeDelivery' to 'isFreeDelivery' but I can't figure out how to do it.
...ANSWER
Answered 2022-Apr-01 at 16:27Here you go:
QUESTION
I have a hidden input
...ANSWER
Answered 2022-Mar-25 at 09:00The line obj = [document.getElementById('0').value];
will result in an array with the string "10, 12" as value. To convert the string to an array try split method: obj = document.getElementById('0').value.split(",");
.
Now you have an array with the string values "10" and " 12". Not sure if chat.js can handle this, if not you can use the map funtion to iterate over the vales and covert the to numbers
QUESTION
I have the following snippet of code where I've used numba in order to speed up my code:
...ANSWER
Answered 2022-Mar-03 at 21:38You get this error because dot
and inv
are optimized for contiguous arrays. However, regarding the small input size, this is not a huge problem. Still, you can at least specify that the input array are contiguous using the signature 'float64[:](float64[:,::1], float64[::1])'
in the decorator @jit(...)
. This also cause the function to be compiled eagerly.
The biggest performance issue in this function is the creation of few temporary array and the call to linalg.inv
which is not designed to be fast for very small matrices. The inverse matrix can be obtained by computing a simple expression based on its determinant.
Here is the resulting code:
QUESTION
The thing that i wanna do is similiar with this video. In p5.js, I am using get() function. After use this, I will create small images (by dividing big tileset) and push them into an array. But in my code get()
returns an empty pixels array. Here is a part of my code:
ANSWER
Answered 2022-Feb-23 at 20:00I believe the issue here is that you are not waiting for the image to actually be loaded. The loadImage
function is asynchronous. That is, it only starts the process of loading the image, but it returns before it actually finish loading the image. So any code that comes after that will run immediately, while the loading is still in progress. You can use the callback function to run code after loading is complete. Here's a modified version of your code that should alleviate the problem:
QUESTION
Is there a way to specify an unknown type in GDScript?
GDScript docs use the type Variant
for this (for example in Array.count method).
Say, I'd like to write an identity function. I can do it like so:
...ANSWER
Answered 2022-Feb-22 at 18:18Yes, the only option is to not specify the type.
This function:
QUESTION
This is a followup to this SO answer
https://stackoverflow.com/a/71185257/3259896
Moreover, note that mean is not very optimized for such a case. It is faster to use (a[b[:,0]] + a[b[:,1]]) * 0.5 although the intent is less clear.
This is further elaborated in the comments
mean is optimized for 2 cases: the computation of the mean of contiguous lines along the last contiguous axis OR the computation of the mean of many long contiguous lines along a non-contiguous axis.
I looked up contiguous arrays and found it explained here
What is the difference between contiguous and non-contiguous arrays?
It means stored in unbroken blocks of memory.
However, it is still not clear to me if there's any solid cases where I should use mean
over just performing the calculations in python.
I would love to have some solid examples of where and when to use each type of operation.
...ANSWER
Answered 2022-Feb-20 at 08:54While I've worked with numpy
for a long time, I still have to do timings. I can predict some comparisons, but not all. In addition there's a matter of scaling. Your previous example was relatively small.
With the (5,3) and (3,2) a
and b
:
QUESTION
I have a table with columns: timestamp and id and condition, and I want to count the number of each id per interval such as 10 seconds.
If condition is true, the count++, otherwise return the previous value.
the udaf code like:
...ANSWER
Answered 2022-Feb-15 at 18:34Finally I solved it by spark aggregateWindowFunction:
QUESTION
This question is analogical to Parallel write to array with an indices array except that I guarantee the indices to be unique.
...ANSWER
Answered 2022-Jan-25 at 14:22You can certainly do it with unsafe
, for example by sending a pointer to the threads:
QUESTION
I am working on solving an algorithm problem whose prompt is this:
"Given a string s, find the length of the longest substring without repeating characters."
I have two accepted solutions shown below:
...ANSWER
Answered 2022-Jan-17 at 05:26You're right. Solution 1 should perform much worse. And it does, at least according to my tests:
QUESTION
I have two models
...ANSWER
Answered 2022-Jan-11 at 17:32You can create postgres function to sum up int[]
and use it in annotation
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