Application developers may want to test their code with simulated responses, including errors, from an object of type PredictionServiceClient. To do so, construct an object of type PredictionServiceClient 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 2025-03-14 UTC."],[[["This webpage provides documentation for the `MockPredictionServiceConnection` class, which is designed to simulate responses, including errors, for testing purposes."],["The `MockPredictionServiceConnection` class is used with the Google Test framework to program the behavior of the mock, simulating interactions with `PredictionServiceClient`."],["The page details various available versions of the `MockPredictionServiceConnection` class, from the latest release candidate 2.37.0-rc down to 2.11.0."],["The documentation lists two key functions, `options()` and `Predict()`, both implemented using gMock's `MOCK_METHOD()`, allowing users to customize mock behavior in their tests."],["The content references an example from the BigQuery library, stating that while the example showcases types from BigQuery, the underlying principles apply for any `*Client` and `*Connection` pair."]]],[]]