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QUESTION
I have encountered what i consider to be a strange situation with std::visit
and overloaded
which is giving me a compiler error. To illustrate what i am trying to do I have an example using std::visit 3 different ways.
- Approach 1, calling
std::visit
directly on a variant which returns aT const&
, - Approach 2, wrapping the
std::visit
code in a free function:T const& fn(variantT const&)
- Approach 3, wrapping the variant in a structure with an accessor
T const& get_XXX() const
My goal is to be able to wrap the std::visit
part in a function because in my use case it's not a small piece of code. I have multiple lambda overloads. I don't want to have to duplicate this code in each function that uses the variant and wants to get a property, i want to write it once in some kind of wrapper which i can re-use across multiple translation units (Approach 3 is most preferable to me, then Apporach 2, and all else fails, I will investigate something less pleasing like a macro or something.)
Can someone explain to me:
- Why / where
std::visit
is creating a temporary object? - Is there something I can do differently to prevent this temporary from being created?
- Accepting that a temporary exists for some reason or other, why does the temporary object lifetime extension rule not apply here?
Please consider this minimal example which reproduces the problem I am seeing.
Minimal example: ...ANSWER
Answered 2022-Apr-05 at 00:42The default behavior when calling a lambda (or a function for that matter) is to have the value returned by copy. Since your lambda expressions that you pass to overloaded
return by copy, binding a reference to that in the return type of visit_get_name
(or wrapper::get_name
) is not allowed, which is why Approach 2 and 3 fail.
If you want to return by reference, you have to say so (note the explicit -> auto const &
trailing return type for the lambda), like this:
QUESTION
In CSS I know that I can reference/link to another file using either of the following:
photo.jpg
or ./photo.jpg
for a file in the same location as the one I am working in, and photo-folder/images/photo.jpg
or ./photo-folder/images/photo.jpg
to link a file in one or more directories below/inside the parent directory of the one I am working in.
I also know the same idea applies in HTML like ./[href]
or [href]
.
But I am wondering, let's say the positions of the files in my example are reversed, that is, I want to link to a photo in a directory which is the direct/indirect parent of the file I'm working in. How would I call that file without using the full drive address such as C:/Users/Username/Code/etc/photo.jpg
, while my working file is C:/Users/Username/Code/etc/code/file.css
...
How is it done in these languages: HTML, CSS, JS, Python? (You are welcome to answer for other languages, I might need it later! :D)
Side question: is there any technical difference between ./file
and file
, and would it be preferable to stick to one format over the other (e.g. to prevent problems, for readability, etc)? Though I have never run into any problems using either, or even combining both in the same project...
ANSWER
Answered 2022-Mar-26 at 23:04To get to parent directory use ../
, this is "per directory", so if you need access several levels up, you'd need use: ../../../
(for 3 levels)
As of using ./
for current directory - it's redundant
As far as I know this is pretty much applies to all languages, however in HTML
/CSS
there is another relative path that can be used to get to the root of the domain: /
(no dots)
so for example if you open https://example/some/long/path/file.html
and need access to file at http://example/file.jpg
you simply put as relative path: /file.jpg
QUESTION
I have data which I want to group by one column and then summarise with means and counts by group for multiple columns. Some example data (my data has more columns and groups to be summarised):
...ANSWER
Answered 2022-Mar-25 at 17:51We may group by 'group' and summarise
across
the numeric columns to get the mean
and the count of non-NA (sum(!is.na
)
QUESTION
There are many cases where it's useful to associate an enum with array elements so the enum names always stay in sync with the array elements. For this kind of thing, a "macro that defines macros" does the job nicely:
...ANSWER
Answered 2022-Feb-22 at 02:03Does this work for you?
QUESTION
I am having problems with EclipseLink change tracking in one of my entity classes in a Java SE application. I am using Java 8, JPA 3.0 provided by EclipseLink 3.0.2 and HyperSQL 2.6.1. So far I have kept my implementation provider-independent, so switching JPA providers is an option, although not preferable.
This particular entity class has ~10 attributes of the type OverriddenValue
, each of which is a wrapper for 1. a reference to a particular global configuration value, and 2. an optional custom value which will override the global value if present.
ANSWER
Answered 2022-Feb-16 at 20:44Try marking the mapping as mutable:
QUESTION
There are two standard methods of passing arguments -- by value, and constant reference. Each has its trade-offs, with value being preferable in most cases that the data is very small. However, I just recently looked into templates more, and the way I understand it, they act more like a macro. Could you use templates to favor efficiency (disregarding bad code cleanliness for now)? For example, if I passed a std::vector through a template, would it allow access to the current scope to the function called?
...ANSWER
Answered 2022-Feb-07 at 21:51I think you are misunderstanding what templates are.
Template arguments are not another way of passing runtime arguments to a function. Templates are a way essentially of doing code generation if you want to use the exact same code multiple times but with different types and/or constants when you know all the types and constant values at compile time.
So to answer your question
For example, if I passed a std::vector through a template, would it allow access to the current scope to the function called?
you can't pass an std::vector value to a template function beyond normal argument passing which may be parametrized on the type. As for allowing access to a vector in the current scope, you don't need templates for that anyway: pass a reference to the vector.
QUESTION
I was interested in trying to merge Python's tkinter
with asyncio
, and after having read this answer I was largely successful. For reference, you can recreate the mainloop
as follows:
ANSWER
Answered 2022-Jan-26 at 00:47Is it fine to use just self.update_idletasks() only, and never run whatever else self.update() is supposed to run?
If you do that, only events in the idle queue will get run. There are many other sorts of events that would never get processed, such as any user interaction.
How exactly does root.mainloop() work?
At its core it's a C-based function inside the embedded tcl interpreter that waits for events to arrive on a queue and then processes them. A good starting point for doing more research is the Tcl_DoOneEvent man page or the actual code in tclEvent.c
How exactly it works might be different on each platform since it has to have hooks into the native windowing system.
The page Event Loop on Tkdocs.com has one of the best high-level overviews of the event loop.
QUESTION
I have an older embedded device (PHYTEC phyCORE-LPC3250) that runs the ancient U-Boot 1.3.3.
The Linux kernel uImage gets copied to the NAND flash at 0x200000
, then booted with: nboot 80100000 0 200000;bootm
This works fine if the uImage is derived from the self-expanding zImage, but according to this mailing list post it is preferable to have U-Boot perform the decompression itself.
So I have tried creating a uImage that contains a gzipped version of the normal kernel image, but decompression fails:
...ANSWER
Answered 2022-Jan-18 at 22:27First U-Boot copies the uImage from NAND to RAM at the specified address 0x80100000
. Then it unpacks the kernel to the load address specified in the uImage header, 0x80008000
.
Since our kernel is about 8 MB uncompressed, that means the kernel's memory from 0x80008000
to approximately 0x80800000
overlaps where we copied the uImage at 0x80100000
.
If the uImage is not compressed, unpacking the kernel can use memmove
which handles overlapping address ranges without issue. (If the load address is the address where we copied it in RAM, the kernel gets executed in-place.)
But for compressed uImages, if we overwrite the compressed data while decompressing, decompression will obviously fail.
QUESTION
I am trying to merge many (100+) small (log)files into fewer larger files using Python. The restriction on the output files is the maximum filesize, which in this example should not exceed 100 KB (in my use case this limit is about 4 GB, because later on I need to load these files into memory for analysis).
Random toy data for a MCVE can be created by executing:
...ANSWER
Answered 2021-Dec-19 at 19:16You forgot to update input_filesize
with the new input file (solves problem 2). While you're at it, break out of the loop when there isn't one anymore (solves problem 1). So add this to the end of your inner while
loop:
QUESTION
I did bump into this question while searching for this topic, but this one seems to be outdated.
Reading https://blogs.mathworks.com/loren/2016/10/24/matlab-arithmetic-expands-in-r2016b , implicit expansion was introduced in 2016b, but I can still find the reference codes in the papers using bsxfun
for arithmetic expansion. So I assume that there are some circumstances that make bsxfun
preferable to other methods.
I did compare the speeds between bsxfun
, repmat
, and implicit expansion (I used the code of Jonas from the link)
The below shows the comparison in calculation time using tic
toc
:
which shows that implicit expansion is clearly faster than bsxfun
or repmat
. Is there any reason to use bsxfun
nowadays?
Here is the code I used to compare the speed:
...ANSWER
Answered 2021-Nov-25 at 12:46All bsxfun
does is Binary Singleton eXpansion. It's more typing than the, now usual, implicit expansion. I'd guess The MathWorks kept bsxfun
around for backwards compatibility, but no longer works on it; it might even internally just map to implicit expansion.
The documentation on bsxfun
states:
It is recommended that you replace most uses of
bsxfun
with direct calls to the functions and operators that support implicit expansion. Compared to usingbsxfun
, implicit expansion offers faster speed of execution, better memory usage, and improved readability of code. For more information, see Compatible Array Sizes for Basic Operations.
Additionally, implicit expansion seems to have internal optimisations beyond what bsxfun
does, see this question of mine.
More helpful links can be found in this answer by nirvana-msu, amongst others to blogs by MathWorks employees discussing this.
So I'd say that the only reason to use bsxfun
instead of implicit expansion would be if you'd run the code on a pre-2016b version of MATLAB.
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