Minimal service client cookbook recipes

This package contains a few strategies to create service clients. The client recipe shows how to request data from a service with a blocking call. The client_async recipe shows how to request data from a service with a non blocking call. The user has to check if a response has been received in the main loop The client_async_member_function recipe is analog to client_async but sends the request inside a MinimalClient class

Changelog for package examples_rclpy_minimal_client

0.8.2 (2019-11-19)

0.8.1 (2019-10-24)

• future.result() raises if it fails (#253)
• Contributors: Shane Loretz

0.7.3 (2019-05-29)

0.7.2 (2019-05-20)

0.7.1 (2019-05-08)

0.7.0 (2019-04-14)

0.6.2 (2019-02-08)

• Modified examples to install entry point scripts into a package. (#226)
• Contributors: Shane Loretz

0.6.0 (2018-11-20)

• Updated maintainer info. (#218)
• Contributors: Shane Loretz

0.5.1 (2018-06-27)

0.5.0 (2018-06-26)

• add pytest markers to linter tests
• Update examples for new client api (#203)
• set zip_safe to avoid warning during installation (#205)
• Contributors: Dirk Thomas, Mikael Arguedas, Shane Loretz

0.4.0 (2017-12-08)

• Use logging (#190)
• Use wait_for_service (#185)
• Fix import statement and usage for rclpy.node.Node (#189)
• remove test_suite, add pytest as test_requires
• 0.0.3
• Examples for Executors and callback groups (#182)
• update style to satisfy new flake8 plugins #181
• remove dependency on ament_python and perform customizations in setup.py #178
• 0.0.2
• rename executables with shorter names (#177)
• install data_files #176
• fix error when exiting scripts #175
• install executables in package specific path #173
• use explicit kwargs #169
• fix function name (#168)
• comply with flake8 import order (#167)
• Rclpy minimal services (#140)
• Contributors: Dirk Thomas, Mikael Arguedas, Shane Loretz