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in elif ACL_WINDOWS
lib_acl/src/net/acl_vstream_net.c
line 117
@@ -114,7 +114,7 @@ ACL_VSTREAM *acl_vstream_accept_ex(ACL_VSTREAM *sstream,
connfd = acl_accept(servfd, buf, sizeof(buf), NULL);
} else if (sstream->iocp_sock == ACL_SOCKET_INVALID) {
return NULL;
- else {
+ } else {
int ret;
co
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Apr 24, 2020 - Vue
I could not see any Exceptions thrown within my coroutines until I set the is_async flag.
I suggest enabling the flag in all your examples where you subscribe and use a coroutine as a callback. Example:
async def cb():
if bad():
raise Exception('error')
nc.subscribe('sample', cb=cb, is_async=True)
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Updated
Jul 29, 2019 - Python
We have script for updating our requirements. But we can move to some better:
pip-compile development.in
pip-compile documentation.in
pip-compile production.in
i think this looks much better.
- remove
check-requirements.py - add pip-compile for
upgradecommand into makefile - describe into the documentation how use *.in files for that
Resolving this issue involves going through the handlers in the modules/ tree alongside the matrix client and server specification to flag methods required to be rate-limited. Currently some are, but many are not.
Example of a method with the flag:
resource::method
method
{
resource, "GET", handler,
{
method.REQUIRES_AUTH |
method.RATE_LIMITED
}
};
`
As per my grumbling in #63 it seems the docker health check is failing on travis.
I'm sure at some point I'll fix it.
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Mar 12, 2018 - Python
It's not immediately clear that this project is tested for 3.7
If you could add python 3.8 in the test pipeline that would be great.
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Jun 7, 2020 - Python
Im running the example presented in this link: https://python-bittrex-websocket-docs.readthedocs.io/en/latest/howto.html (using steps 1 and 2) and I get the following error:
RuntimeWarning: coroutine 'MySocket.on_public' was never awaited
f(*a, **kw)
RuntimeWarning: Enable tracemalloc to get the object allocation traceback
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Jun 4, 2020 - HTML
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Jun 27, 2018 - D
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Jun 2, 2020 - C++
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Apr 6, 2020 - C++
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May 29, 2018 - HTML
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Jun 8, 2020 - Python
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Memory management in a seastar application is a very important topic, as seastar applications are usually long running server applications that want to maximize the usage of memory as well as be resilient to memory fragmentation.
Add a section on this to the
docs/tutorial.mdbased on the lessons we learned at ScyllaDB. In a nutshell: when large buffers are needed prefer storing data in a chunke