Bye
Mild Shock schrieb:
Hi,
I have some data what the Async Detour usually
costs. I just compared with another Java Prolog
that didn't do the thread thingy.
Reported measurement with the async Java Prolog:
> JDK 24: 50 ms (using Threads, not yet VirtualThreads)
New additional measur
mtime and doing some comparisons.
Mild Shock schrieb:
So what does:
stats = await asyncio.to_thread(os.stat, url)
Whell it calls in a sparate new secondary thread:
os.stat(url)
It happends that url is only a file path, and
the file path points to an existing file. So the
secondary thread computs th
50 ms (using Threads, not yet VirtualThreads)
> pypy: 2000 ms
I am only using one main task, sequentially on
such await calles, with a couple of file, not
more than 50 files.
I could compare with removing the async detour,
to qualify the async I/O detour overhead.
Mild Shock schrieb:
Hi,
asy
itten in the test case, only "mtime" was read,
via this Python line:
stats = await asyncio.to_thread(os.stat, url)
Bye
Mild Shock schrieb:
Concerning virtual threads the only problem
with Java I have is, that JDK 17 doesn't have them.
And some linux distributions are stuck wit
Concerning virtual threads the only problem
with Java I have is, that JDK 17 doesn't have them.
And some linux distributions are stuck with JDK 17.
Otherwise its not an idea that belongs solely
to Java, I think golang pioniered them with their
goroutines. I am planning to use them more heavily
We say that an object is an awaitable object if it can be used in an
await expression. Many asyncio APIs are designed to accept awaitables.
There are three main types of awaitable objects:
coroutines, Tasks, and Futures.
Stefan Ram schrieb:
In "The Python Language Reference, Release 3.13
Maybe consult:
PEP 492 – Coroutines with async and await syntax
Created: 09-Apr-2015
Python-Version: 3.5
https://peps.python.org/pep-0492/
Mild Shock schrieb:
We say that an object is an awaitable object if it can be used in an
await expression. Many asyncio APIs are designed to accept
I am still waiting for async files in the
style of nodejs that works on windows and
is bundled with the main python distribution.
I am not very fond on doing something
like adding listeners to a file descriptor,
in nodejs async files are based on callbacks
not on listeners. Whats the roadmap
And whats the roadmap for an asyncified module
loader, is this on the radar of Python?
Mild Shock schrieb:
I am still waiting for async files in the
style of nodejs that works on windows and
is bundled with the main python distribution.
I am not very fond on doing something
like adding
+0100, Mild Shock wrote:
... that works on windows ...
You lost me there.
--
https://mail.python.org/mailman/listinfo/python-list
userspace.
Mild Shock schrieb:
The docu tells me:
Windows
loop.add_reader() and loop.add_writer() only accept
socket handles (e.g. pipe file descriptors are not supported).
https://docs.python.org/3/library/asyncio-platforms.html
Alternatives are aiofiles and anyio and maybe more,
but not sure
You can try:
>>> 1,2 == 2,2
(1, True, 2)
Its the same as:
>>> 1, (2 == 2), 2
(1, True, 2)
Hope this helps!
Alan Bawden schrieb:
Python 3.10.5 (v3.10.5:f37715, Jul 10 2022, 00:26:17) [GCC 4.9.2] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
dress.
Greg Ewing schrieb:
On 8/11/24 3:04 am, Mild Shock wrote:
This only works for small integers. I guess
this is because tagged pointers are used
nowadays ?
No, it's because integers in a certain small range are cached. Not sure
what the actual range is nowadays, it used to be some
cdaca8, Oct 15 2024, 20:08:21)
>>> x, y = 257, 257
>>> id(x) == id(y)
True
Mild Shock schrieb:
Hi,
In Java its possible to work this way
with the Integer datatype, just call
Integer.valueOf().
I am not sure whether CPython does the
same. Because it shows me the same behaviour
fo
The wiked brain of ChatGPT gives me a lead:
PEP 659
Storing data caches before the bytecode.
Maybe its an effect of constant folding
and constant pooling by the compiler?
Mild Shock schrieb:
For example this article:
https://www.codementor.io/@arpitbhayani/python-caches-integers-16jih595jk
Well you can use your Browser, since
JavaScript understand post and pre increment:
> x = 5
5
> x ++
5
> x = 5
5
> ++ x
6
So we have x ++ equals in Python:
x + = 1
x - 1
And ++ x equals in Python:
x += 1
x
But I don't know how to combine an
assignment and an expression into on
This only works for small integers. I guess
this is because tagged pointers are used
nowadays ? For large integers, also known
as bigint, it doesn't work:
Python 3.13.0a1 (tags/v3.13.0a1:ad056f0, Oct 13 2023, 09:51:17)
>>> x, y = 5, 4+1
>>> id(x) == id(y)
True
>>> x, y = 10**200, 10**199*10
>>
17 matches
Mail list logo
