Application developers may want to test their code with simulated responses, including errors, from an object of type CloudShellServiceClient. To do so, construct an object of type CloudShellServiceClient 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 2025-03-21 UTC."],[[["This webpage provides documentation for the `MockCloudShellServiceConnection` class, which is designed to simulate responses and errors for testing purposes with the `CloudShellServiceClient`."],["The documentation lists various versions of the class, from the latest release candidate `2.37.0-rc` down to version `2.11.0`, each with a link to its respective documentation."],["The `MockCloudShellServiceConnection` class includes mocked methods like `options()`, `GetEnvironment()`, `StartEnvironment()`, `AuthorizeEnvironment()`, `AddPublicKey()`, and `RemovePublicKey()`, all implemented using gMock's `MOCK_METHOD()`."],["The class is useful for developers needing to test their applications with simulated responses, and using the gMock documentation will help with using the mocks in tests."],["There is an example provided in the documentation that shows how to use this mock for testing, although the example showcases the BigQuery library, it is still very applicable to this mock."]]],[]]
