dispatch | Web-based IRC client in Go | Chat library
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kandi X-RAY | dispatch Summary
Web-based IRC client in Go.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of dispatch
dispatch Key Features
dispatch Examples and Code Snippets
def dispatch_for_api(api, *signatures):
"""Decorator that overrides the default implementation for a TensorFlow API.
The decorated function (known as the "dispatch target") will override the
default implementation for the API when the API is c
def add_dispatch_support(target=None, iterable_parameters=None):
"""Decorator that adds a dispatch handling wrapper to a TensorFlow Python API.
This wrapper adds the decorated function as an API that can be overridden
using the `@dispatch_for_
def dispatch_command(self, prefix, argv, screen_info=None):
"""Handles a command by dispatching it to a registered command handler.
Args:
prefix: Command prefix, as a str, e.g., "print".
argv: Command argument vector, excluding t
Community Discussions
Trending Discussions on dispatch
QUESTION
When I double click the same item or if I go to each composable screen very quickly i receive an error, How do I solve this problem? I tried changing few things but I just can't solve it and I can't find any resources to fix this problem.
Bottom Navigation implementation
...ANSWER
Answered 2022-Mar-06 at 09:39I'm facing the same problem using the latest compose navigation dependency 2.5.0-alpha03
.
I don't know why it's happening.
Philip Dukhov is right, you should report this issue.
Here is a dirty workaround :
QUESTION
I saw a video about speed of loops in python, where it was explained that doing sum(range(N))
is much faster than manually looping through range
and adding the variables together, since the former runs in C due to built-in functions being used, while in the latter the summation is done in (slow) python. I was curious what happens when adding numpy
to the mix. As I expected np.sum(np.arange(N))
is the fastest, but sum(np.arange(N))
and np.sum(range(N))
are even slower than doing the naive for loop.
Why is this?
Here's the script I used to test, some comments about the supposed cause of slowing done where I know (taken mostly from the video) and the results I got on my machine (python 3.10.0, numpy 1.21.2):
updated script:
...ANSWER
Answered 2021-Oct-16 at 17:42From the cpython source code for sum
sum initially seems to attempt a fast path that assumes all inputs are the same type. If that fails it will just iterate:
QUESTION
I updated from ruby 2.7.1 to 3.1.1, then removed Gemfile.lock and ran bundle update
(it's on a dev branch, so I can throw it away if this is a bad idea, I just wanted to see if it would work).
bundle update
succeeds, but when I start the server:
ANSWER
Answered 2022-Mar-19 at 10:21The problem is related to the Ruby 3.1 / Psych 4.x incompatibility described in this issue: https://bugs.ruby-lang.org/issues/17866
Ruby 3.0 comes with Psych 3, while Ruby 3.1 comes with Psych 4, which has a major breaking change (diff 3.3.2 → 4.0.0).
- The new YAML loading methods (Psych 4) do not load aliases unless they get the
aliases: true
argument. - The old YAML loading methods (Psych 3) do not support the
aliases
keyword.
At this point, it seems like anyone, anywhere that wants to load YAML in the same way it worked prior to Ruby 3.1, need to do something like this:
QUESTION
I am getting this error when I try to sign up a user. After this error, I'm still able to sign in with the user it would've created, but it always shows me this upon registration. Please let me know if there's other information you need. Been stumped on this for a few days.
Here is the callback for the error:
...ANSWER
Answered 2022-Jan-03 at 12:08This seems to a be a known issue with Rails 7 and Devise now. To fix it in the meantime simply add the following line to your devise.rb.
config.navigational_formats = ['*/*', :html, :turbo_stream]
QUESTION
I know that several similar questions exist on this topic, but to my knowledge all of them concern an async
code (wrongly) written by the user, while in my case it comes from a Python package.
I have a Jupyter notebook whose first cell is
...ANSWER
Answered 2022-Feb-22 at 08:27Seems to be a bug in ipykernel 6.9.0
- options that worked for me:
- upgrade to
6.9.1
(latest version as of 2022-02-22); e.g. viapip install ipykernel --upgrade
- downgrade to
6.8.0
(if upgrading messes with other dependencies you might have); e.g. viapip install ipykernel==6.8.0
QUESTION
I am writing a C++ coroutine for a UWP control using C++/WinRT:
...ANSWER
Answered 2022-Jan-23 at 20:51This seems to be a legacy implementation for MSVSC. MSVSC implemented coroutines before the standard was formally complete, so there are two implementations of async (/async
and /async:strict
). I seem to have the old, non–standard-compliant version turned on.
The standard is clear that you cannot use plain return
statements in coroutines (emphasis added):
Coroutines cannot use variadic arguments, plain return statements, or placeholder return types (auto or Concept). Constexpr functions, constructors, destructors, and the main function cannot be coroutines.
— https://en.cppreference.com/w/cpp/language/coroutines
You can verify that this is a legacy behavior with a simple example (view in Godbolt):
QUESTION
I'm trying to build an interceptor for cases when the access token becomes invalid with RTK Query. I've built it by an example in the docs, so that is looks as follows:
...ANSWER
Answered 2021-Jul-29 at 20:14instead of baseQuery('token/refresh/', api, extraOptions);
you can also do
QUESTION
I have a networking layer that currently uses completion handlers to deliver a result on the operation is complete.
As I support a number of iOS versions, I instead extend the network layer within the app to provide support for Combine. I'd like to extend this to now also a support Async/Await but I am struggling to understand how I can achieve this in a way that allows me to cancel requests.
The basic implementation looks like;
...ANSWER
Answered 2021-Oct-10 at 13:42async/await might not be the proper paradigm if you want cancellation. The reason is that the new structured concurrency support in Swift allows you to write code that looks single-threaded/synchronous, but it fact it's multi-threaded.
Take for example a naive synchronous code:
QUESTION
How would you implement a function like this:
...ANSWER
Answered 2021-Dec-19 at 01:54The only option is to have c
as a keyword parameter such as:
QUESTION
I am trying to use a .svg
(vector file) to show an image but I am stuck and not able to do it. Is there any way I can use it, I tried to use it like this
ANSWER
Answered 2021-Nov-26 at 00:45Desktop Compose has painterResource
, which supports:
- SVG
- XML vector drawable
- raster formats (BMP, GIF, HEIF, ICO, JPEG, PNG, WBMP, WebP)
To load an image from other places (file storage, database, network), use these functions inside LaunchedEffect
or remember
: loadSvgPainter
, loadXmlImageVector
, loadImageBitmap
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