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 access to various versions of the `MockPredictionServiceConnection` class, ranging from version 2.11.0 to the latest release candidate 2.37.0-rc."],["The `MockPredictionServiceConnection` class is designed to facilitate testing application code with simulated responses, including errors, from `PredictionServiceClient`."],["The webpage offers a guide and an example, to illustrate how to use this class, with the google test framework, in tandem with the `PredictionServiceClient` to test your code."],["This mock class uses `gMock`'s `MOCK_METHOD()` to implement its functions, such as `options()` and `Predict()`, and it requires users to refer to the gMock documentation for further usage in tests."]]],[]]
