sc | Common libraries and data structures for C | Hashing library
kandi X-RAY | sc Summary
kandi X-RAY | sc Summary
Portable, stand-alone C libraries and data structures. (C99). Each folder is stand-alone with a single header/source pair in it. There is no build for libraries, just copy files you want. e.g If you want logger, copy sc_log.h and sc_log.c to your project.
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QUESTION
When I execute run-example SparkPi
, for example, it works perfectly, but
when I run spark-shell
, it throws these exceptions:
ANSWER
Answered 2022-Jan-07 at 15:11i face the same problem, i think Spark 3.2 is the problem itself
switched to Spark 3.1.2, it works fine
QUESTION
I have source (src
) image(s) I wish to align to a destination (dst
) image using an Affine Transformation whilst retaining the full extent of both images during alignment (even the non-overlapping areas).
I am already able to calculate the Affine Transformation rotation and offset matrix, which I feed to scipy.ndimage.interpolate.affine_transform
to recover the dst
-aligned src
image.
The problem is that, when the images are not fuly overlapping, the resultant image is cropped to only the common footprint of the two images. What I need is the full extent of both images, placed on the same pixel coordinate system. This question is almost a duplicate of this one - and the excellent answer and repository there provides this functionality for OpenCV transformations. I unfortunately need this for scipy
's implementation.
Much too late, after repeatedly hitting a brick wall trying to translate the above question's answer to scipy
, I came across this issue and subsequently followed to this question. The latter question did give some insight into the wonderful world of scipy
's affine transformation, but I have as yet been unable to crack my particular needs.
The transformations from src
to dst
can have translations and rotation. I can get translations only working (an example is shown below) and I can get rotations only working (largely hacking around the below and taking inspiration from the use of the reshape
argument in scipy.ndimage.interpolation.rotate
). However, I am getting thoroughly lost combining the two. I have tried to calculate what should be the correct offset
(see this question's answers again), but I can't get it working in all scenarios.
Translation-only working example of padded affine transformation, which follows largely this repo, explained in this answer:
...ANSWER
Answered 2022-Mar-22 at 16:44If you have two images that are similar (or the same) and you want to align them, you can do it using both functions rotate and shift :
QUESTION
I've a dataframe like as follows,
...ANSWER
Answered 2022-Feb-22 at 20:00I think actually a more efficient way would be to sort by Brand
and then Year
, and then use interpolate
:
QUESTION
[Editing this question completely] Thank you , for those who helped in building the Periodic Table successfully . As I completed it , I tried to link it with another of my project E-Search
, which acts like Google and fetches answers , except that it will fetch me the data of the Periodic Table .
But , I got a problem - not with the searching but with the layout . I'm trying to layout the x-scrollbar in my canvas which will display results regarding the search . However , it is not properly done . Can anyone please help ?
Below here is my code :
...ANSWER
Answered 2021-Dec-29 at 20:33I rewrote your code with some better ways to create table. My idea was to pick out the buttons that fell onto a range of type and then loop through those buttons and change its color to those type.
QUESTION
Say I have the 2 Dataframes below; one with a list of students and test scores, and different student sessions that made up of the students. Say I want to add a new column, "Sum", to df with the sum of the scores for each session and a new column for the number of years passed since the most recent year that either student took the test, "Years Elapsed". What is the best way to accomplish this? I can make the students a class and make each student an object but then I am stuck on how to link the object to their name in the dataframe.
...ANSWER
Answered 2022-Jan-06 at 02:30You can try this:
QUESTION
I have the following data:
...ANSWER
Answered 2021-Dec-30 at 20:32We'll use gtools::permutations
to calculate the ... permutations of inputs
, and then use expand.grid
to show all combinations within them.
First, we can do it easily on one order of the inputs with:
QUESTION
Ok, I'm totally lost on deadlock issue. I just don't know how to solve this.
I have these three tables (I have removed not important columns):
...ANSWER
Answered 2021-Dec-26 at 12:54You are better off avoiding serializable isolation level. The way the serializable guarantee is provided is often deadlock prone.
If you can't alter your stored procs to use more targeted locking hints that guarantee the results you require at a lesser isolation level then you can prevent this particular deadlock scenario shown by ensuring that all locks are taken out on ServiceChange
first before any are taken out on ServiceChangeParameter
.
One way of doing this would be to introduce a table variable in spGetManageServicesRequest
and materialize the results of
QUESTION
I'm learning the java source code, when i reading the ConcurrentHashMap source code, i'm confused with the initTable() method, why check (tab = table) == null || tab.length == 0
twice, first in the while()
, then in the if()
. I can't imagine in what situation need the second check.
I think maybe it's because the JVM reorder the code, put sizeCtl = sc;
in front of Node[] nt = (Node[])new Node[n];
. It's just my guess, I don't know is it right.
Can some one explain it, thanks a lot.
...ANSWER
Answered 2021-Nov-18 at 14:34Multiple threads may compete to do this (see "initialization race" comment).
To paraphrase the code:
QUESTION
I have downloaded a list of all the towns and cities etc in the US from the census bureau. Here is a random sample:
...ANSWER
Answered 2021-Nov-12 at 22:48I have such a solution. And I'm surprised myself that I used two loops for
!! Incredibly, I did it. First things first.
My proposal is based on a simplification. However, the mistake you will make at short distances will be relatively small. But the time gain is huge!
Well, I propose to count the distance in Cartesian coordinates, not spherical.
So we're going to need a simple function that computes the Cartesian coordinates based on the two arguments latitude
and longitude
.
Here is our LatLong2Cart
feature.
QUESTION
Consider this code:
...ANSWER
Answered 2021-Nov-01 at 21:47Yes, I think we can prove that a == 1 || b == 1
is always true. Most of the ideas here were worked out in comments by zwhconst and Peter Cordes, so I just thought I would write it up as an exercise.
(Note that X, Y, A, B below are used as the dummy variables in the standard's axioms, and may change from line to line. They do not coincide with the labels in your code.)
Suppose b = x.load()
in thread2 yields 0.
We do have the coherence ordering that you asked about. Specifically, if b = x.load
yields 0, then I claim that x.load()
in thread2 is coherence ordered before x.store(1)
in thread1, thanks to the third bullet in the definition of coherence ordering. For let A be x.load()
, B be x.store(1)
, and X be the initialization x{0}
(see below for quibble). Clearly X precedes B in the modification order of x
, since X happens-before B (synchronization occurs when the thread is started), and if b == 0
then A has read the value stored by X.
(There is possibly a gap here: initialization of an atomic object is not an atomic operation (3.18.1p3), so as worded, the coherence ordering does not apply to it. I have to believe it was intended to apply here, though. Anyway, we could dodge the issue by putting x.store(0, std::memory_order_relaxed);
in main
before starting the threads, which would still address the spirit of your question.)
Now in the definition of the ordering S, apply the second bullet with A = x.load()
and B = x.store(1)
as before, and Y being the atomic_thread_fence
in thread1. Then A is coherence-ordered before B, as we just showed; A is seq_cst
; and B happens-before Y by sequencing. So therefore A = x.load()
precedes Y = fence
in the order S.
Now suppose a = y.load()
in thread1 also yields 0.
By a similar argument to before, y.load()
is coherence ordered before y.store(1)
, and they are both seq_cst
, so y.load()
precedes y.store(1)
in S. Also, y.store(1)
precedes x.load()
in S by sequencing, and likewise atomic_thread_fence
precedes y.load()
in S. We therefore have in S:
x.load
precedesfence
precedesy.load
precedesy.store
precedesx.load
which is a cycle, contradicting the strict ordering of S.
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