Neuro Platform Logging
Usage:
import logging
from neuro_logging import init_logging
init_logging()
logging.info("Some info")
By default init_logging() will forward all errors and critical messages to stderr. All other type of messages will be forwarded to stdout.
You can pass own dict-based config with custom setting i.e. for disable warning in asyncio and concurrent
from neuro_logging import DEFAULT_CONFIG, init_logging
custom_config = dict(DEFAULT_CONFIG)
custom_config.update(
{"loggers": {"asyncio": {"level": "ERROR"}, "concurrent": {"level": "ERROR"}}}
)
init_logging(custom_config)
Metadata
Release files for neuro-logging 26.9.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neuro_logging-26.9.0.tar.gz | 10.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neuro_logging-26.9.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.9 kB
Release files / neuro_logging-26.9.0.tar.gz
| Download URL | neuro_logging-26.9.0.tar.gz |
|---|---|
| Size | 10.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / neuro_logging-26.9.0-py3-none-any.whl
| Download URL | neuro_logging-26.9.0-py3-none-any.whl |
|---|---|
| Size | 6.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|