common-interfaces-intellisense
Get intellisense for ROS 2 messages. Services are not supported. This is a only intended to be used for intellisense purposes. Useful if developing on another system than where ROS 2 is available (Docker for example). Code within this package is NOT intended to be ran.
Installation
pip install common-interfaces-intellisense
Usage
from geometry_msgs.msg import Quaternion
from std_msgs.msg import String
# will now get intellisense
msg = Quaternion()
# or
msg = String(data="my string")
Here is an example of a generated class:
# flake8: noqa
from common_interfaces.base_types import *
from std_msgs.msg import Header
from . import RegionOfInterest
from typing import Any
class CameraInfo:
"""
https://github.com/ros2/common_interfaces/blob/humble/sensor_msgs/msg/CameraInfo.msg
Args:
header: No information
height: No information
width: No information
distortion_model: No information
d: No information
k: 9 elements
r: 9 elements
p: 12 elements
binning_x: No information
binning_y: No information
roi: No information
"""
def __init__(
self,
header: Header | Any = None,
height: uint32 | int = None,
width: uint32 | int = None,
distortion_model: string | str = None,
d: list[float64] | list[float] = None,
k: list[float64] | list[float] = None,
r: list[float64] | list[float] = None,
p: list[float64] | list[float] = None,
binning_x: uint32 | int = None,
binning_y: uint32 | int = None,
roi: RegionOfInterest | Any = None,
):
self.header: Header | Any
self.height: uint32 | int
self.width: uint32 | int
self.distortion_model: string | str
self.d: list[float64] | list[float]
self.k: list[float64] | list[float]
self.r: list[float64] | list[float]
self.p: list[float64] | list[float]
self.binning_x: uint32 | int
self.binning_y: uint32 | int
self.roi: RegionOfInterest | Any
Build
from common_interfaces.build import BuildInterfaces
BuildInterfaces().build()
Metadata
Release files for common-interfaces-intellisense 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| common_interfaces_intellisense-0.1.0.tar.gz | 114.0 kB | Without provenance | Details for common_interfaces_intellisense-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| common_interfaces_intellisense-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for common_interfaces_intellisense-0.1.0-py3-none-any.whl |
Total release size: 186.0 kB
Release files / common_interfaces_intellisense-0.1.0.tar.gz
| Download URL | common_interfaces_intellisense-0.1.0.tar.gz |
|---|---|
| Size | 114.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
033b99431987609ea9d5f6800994fa7f6983a09820197fdf8223936a75d7f360
|
|
BLAKE2b-256 checksum How to use checksums |
4dc6e49272a18318b9c6a119be3f25d0b6adac903e68384f0369599d1a12b302
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|
Release files / common_interfaces_intellisense-0.1.0-py3-none-any.whl
| Download URL | common_interfaces_intellisense-0.1.0-py3-none-any.whl |
|---|---|
| Size | 72.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9f2e7bdb0fdb6013fbe1d809da8f50730e2108b7859ffb28817e90c51373e326
|
|
BLAKE2b-256 checksum How to use checksums |
a3133e6d8ec22a5d4a794a42b65193be8519d416c69bddb648df92b6b0c6104a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|
Security for common-interfaces-intellisense 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.