#                                                                                   ======
# The mode of Lasta Di's smart-deploy, should be cool in production (e.g. hot, cool, warm)
lasta_di.smart.deploy.mode = warm

# Is development environment here? (used for various purpose, you should set false if unknown)
development.here = false

# The title of environment (e.g. local or integration or production)
environment.title = Production

def test_events():
    assert not ml_models, "ml_models should be empty"
    with TestClient(app) as client:
        assert ml_models["answer_to_everything"] == fake_answer_to_everything_ml_model
        response = client.get("/predict", params={"x": 2})
        assert response.status_code == 200, response.text
        assert response.json() == {"result": 84.0}
    assert not ml_models, "ml_models should be empty"


def test_openapi_schema():

errors.property_required={0} is required.
errors.property_type_integer={0} should be numeric.
errors.property_type_long={0} should be numeric.
errors.property_type_float={0} should be numeric.
errors.property_type_double={0} should be numeric.
errors.property_type_date={0} should be date.

errors.storage_file_upload_failure=Failed to upload {0}.

errors.property_required={0} is required.
errors.property_type_integer={0} should be numeric.
errors.property_type_long={0} should be numeric.
errors.property_type_float={0} should be numeric.
errors.property_type_double={0} should be numeric.
errors.property_type_date={0} should be date.

errors.storage_file_upload_failure=Failed to upload {0}.

			t.Errorf("%v should be true", str)
		}
	}

	for _, str := range []string{"BeforeCreate", "BeforeUpdate", "AfterUpdate", "AfterSave", "BeforeDelete", "AfterDelete", "AfterFind"} {
		if reflect.Indirect(reflect.ValueOf(user)).FieldByName(str).Interface().(bool) {
			t.Errorf("%v should be false", str)
		}
	}

///

## Return the token

The response of the `token` endpoint must be a JSON object.

It should have a `token_type`. In our case, as we are using "Bearer" tokens, the token type should be "`bearer`".

And it should have an `access_token`, with a string containing our access token.

    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["query", "query"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "42.5",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1

      MockResponse.Builder()
        .body("abc")
        .addHeader("Content-Type: text/plain")
        .build(),
    )

    // Make a request from client to server. It should succeed certificate checks (unfortunately the
    // rogue CA is trusted) but it should fail certificate pinning.
    val request =
      Request.Builder()
        .url(server.url("/"))
        .build()
    val call = client.newCall(request)

 * FutureTask#done() done()} method. For similar functionality, call {@link #addListener}.
 *
 * <p>Few users should use this class. It is intended primarily for those who are implementing an
 * {@code ExecutorService}. Most users should call {@link ListeningExecutorService#submit(Callable)
 * ListeningExecutorService.submit} on a service obtained from {@link
 * MoreExecutors#listeningDecorator}.
 *

 * for further instructions. Whenever possible, you should change any references of type {@code
 * Ordering} to be of type {@code Comparator} instead. However, at this time we have no plan to
 * <i>deprecate</i> this class.
 *
 * <p>Many replacements involve adopting {@code Stream}, and these changes can sometimes make your
 * code verbose. Whenever following this advice, you should check whether {@code Stream} could be