A class to mock IdentityAwareProxyAdminServiceConnection.
Application developers may want to test their code with simulated responses, including errors, from an object of type IdentityAwareProxyAdminServiceClient. To do so, construct an object of type IdentityAwareProxyAdminServiceClient with an instance of this class. Then use the Google Test framework functions to program the behavior of this mock.
See Also
This example for how to test your application with GoogleTest. While the example showcases types from the BigQuery library, the underlying principles apply for any pair of *Client and *Connection.
Functions
virtual options()
This function is implemented using gMock's MOCK_METHOD().
Consult the gMock documentation to use this mock in your tests.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-05-07 UTC."],[[["This document outlines the `MockIdentityAwareProxyAdminServiceConnection` class, which facilitates testing applications interacting with `IdentityAwareProxyAdminServiceClient` by simulating responses."],["The class provides mock implementations for various functions like `SetIamPolicy`, `GetIamPolicy`, `TestIamPermissions`, `GetIapSettings`, and more, all utilizing `gMock`'s `MOCK_METHOD()` for flexible test configuration."],["The document also includes documentation on various class functions and their parameters and return types, including `options()` and all of the functions utilizing IAM or IAP."],["The latest version referenced is 2.37.0-rc, and it lists the version history all the way down to version 2.11.0."],["The reference class can be found in the Google Cloud C++ library, and an example of its utilization can be found in the BigQuery library documentation, with the same underlying principles applying."]]],[]]
