orjson | Fast correct Python JSON library supporting dataclasses | Serialization library
kandi X-RAY | orjson Summary
kandi X-RAY | orjson Summary
orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively.
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Top functions reviewed by kandi - BETA
- Test if the fixture is correct .
- Reads a fixture file .
- Evaluate the given fixture .
- Test if data is empty .
- Return a JSON response .
- Read a fixture file .
- Serialize an object to or JSON .
- Serialize obj to ujson .
- Serialize a rapid JSON object to a string .
- Serializes obj to json .
orjson Key Features
orjson Examples and Code Snippets
Lines of Code : 147License : Non-SPDX (NOASSERTION)
Copydef packb(
__obj: Any,
default: Optional[Callable[[Any], Any]] = ...,
option: Optional[int] = ...,
) -> bytes: ...
>>> import ormsgpack, decimal
>>>
def default(obj):
if isinstance(obj, decimal.Decimal):
----------------------------------------------------------------------------- benchmark 'canada packb': 2 tests ------------------------------------------------------------------------------
Name (time in ms) Min Max >>> import ormsgpack, numpy
>>> ormsgpack.packb(
numpy.array([[1, 2, 3], [4, 5, 6]]),
option=ormsgpack.OPT_SERIALIZE_NUMPY,
)
>>> ormsgpack.unpackb(_)
[[1,2,3],[4,5,6]]
------------------------------------- Community Discussions
Trending Discussions on orjson
QUESTION
to build and run a local instance, im following the tutorial at
https://haha.readthedocs.io/en/latest/install.html
but i use the git repo
https://github.com/readthedocs/readthedocs.org.git
instead of
https://github.com/rtfd/readthedocs.org.git
for the "git clone" command, as the link in the tutorial does not exist.
i am also using venv, and not virtualenv, as i was not able to make virtualenv work.
i then get to the step to run the following command
...ANSWER
Answered 2022-Mar-31 at 07:21You are using python 3.10 which does not have a whl file available on PyPi for pywin32==227. Try the installation with a lower python version e.g. 3.9
QUESTION
I try to use library cv2 for changing picture. In mode debug I found out that problem in function cv2.namedWindow:
...ANSWER
Answered 2021-Nov-07 at 00:17I reverted back to Xorg from wayland and its working, no more warnings
Here are the steps:
- Disbled Wayland by uncommenting
WaylandEnable=falsein the/etc/gdm3/custom.conf - Add
QT_QPA_PLATFORM=xcbin/etc/environment - Check whether you are on Wayland or Xorg using:
QUESTION
I have pretrained model for object detection (Google Colab + TensorFlow) inside Google Colab and I run it two-three times per week for new images I have and everything was fine for the last year till this week. Now when I try to run model I have this message:
...ANSWER
Answered 2022-Feb-07 at 09:19It happened the same to me last friday. I think it has something to do with Cuda instalation in Google Colab but I don't know exactly the reason
QUESTION
I’ve been developing a dash app that uses a long_callback, and for development I’ve been using a diskcache backend for my long_callback_manager, as recommended by the guide I found here: https://dash.plotly.com/long-callbacks
When I tried running my app using gunicorn, it failed to start because of something apparently wrong with diskcache. As such, I decided to switch to a celery/redis backend since that’s recommended for production anyway.
I got a redis server running (responds properly to redis-cli ping with PONG), and then started the app again. This time it started up fine, and all of the normal callbacks work, but the long_callback does not work.
Details:
- The page more or less hangs, with the page title flashing between the normal title and the
Updating...title, indicating that the app thinks it’s “waiting” for a response/update from thelong_callback. - The values set by the running argument of the
long_callbackare set to their starting value, indicating that the app recognizes that thelong_callbackought to run. - By placing a print statement as the first line within the
long_callbackfunction and seeing that it does not print, I’ve determined that the function never starts. - The failure happens both with gunicorn and without gunicorn.
These details all point to the problem being the celery/redis backend. No errors are shown, neither on the client/browser nor on the server’s stdout/sterr.
How do I get a celery/redis backend working?
UPDATE: After realizing that the __name__ variable is being used and that its value changes depending on the file from which it is referenced, I've also tried moving the code which creates celery_app and LONG_CALLBACK_MANAGER into app.py, to no avail. The exact same thing happens.
ANSWER
Answered 2021-Oct-21 at 04:03Re-posting the solution from the plotly community forum:
https://community.plotly.com/t/long-callback-with-celery-redis-how-to-get-the-example-app-work/57663
In order for the long callback to work, I needed to start 3 separate processes that work in conjunction:
- the Redis server:
redis-server - the Celery app:
celery -A app.celery worker --loglevel=INFO - the Dash app:
python app.py
The commands listed above are the simplest version. The full commands used are given further down with appropriate modifications.
DetailsI moved the declaration of the celery app from src/website/long_callback_manager.py to src/app.py for easier external access:
QUESTION
My code publishes to a list of topics at a specific time. I run this locally and it sometimes doesnt react as it should. Once I dockerize it it only publishes to the first topic. Any help would be appreciated
...ANSWER
Answered 2021-Sep-01 at 13:39You have not started the Paho's client network loop, without it won't send messages larger than the MTU of the network.
You also appear to never shut the client down so it will leak clients every time it runs.
QUESTION
I have following ORM object (simplified):
...ANSWER
Answered 2021-Jul-12 at 17:21Looks like you should be able to get what you want by modifying your create_engine statement.
QUESTION
I'm currently turning my code into docker images to control the lights based on a sensor. I'm quite a novice at this. It runs locally but when I turn it into an image with this dockerfile using docker build .:
...ANSWER
Answered 2021-May-24 at 10:44@hardillb was right the error message had to do with an connection issue. The broker was never able to connect due to the fact that within docker it wasn't in the correct network within docker.
QUESTION
In virtual environment I installed locust. I want to create distributable package so any user can run load tests. I used pyinstaller. The exe file is created but when I run it nothing happens.
...ANSWER
Answered 2021-Jan-10 at 07:06All depend on how are you expecting to get your test executed and what are your really packing. Locust have different ways of use. Assuming that you wanna pack your test file as an executable file you may need to include in your file a main entrypoint that use locust as a library
If you are packing the locust itself and the virtualenv including your test file you may need to specify how to run locust as a command and pass your test file as a command line argument
QUESTION
I would like to use pyarrow to read/query parquet data from a rest server. At the moment I'm chunking the data, converting to pandas, dumping to json, and streaming the chunks. Like:
...ANSWER
Answered 2020-Nov-24 at 17:40You can send your data using the arrow in memory columnar format. It will be much more efficient and compact than json. but bear in mind it will be binary data (which unlike json is not human readable)
See the doc for a full example.
In your case you want to do something like this:
QUESTION
Using orjson to serializing response has a remarkable effect on the speed of fastAPI restful services, specifically for very big objects. As I have read in the official documentation, we can use the response class directly as a parameter of api method. The problem is that when I use the ORJSONResponse directly as a function it works; however, it doesn't work when passing it into parameter esponse_class=ORJSONResponse.
ORJSONResponse():
this code run in 75ms ,size 6.6 MB that shows orjson serialization works properly. It's faster than .net core and it is what I need.
...ANSWER
Answered 2020-Oct-17 at 23:49Also, we have documentation for Returning a Response Directly.
So you can use this, not a bad practice.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install orjson
This is an example of serializing, with options specified, and deserializing:.
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