now := time.Now().UTC()

	obj1 := ObjectOpts{
		Name:     "obj1",
		IsLatest: true,
		ModTime:  now,
	}

	obj2 := ObjectOpts{
		Name:    "obj2",
		ModTime: now,
	}

	// Go back seven days in the past
	now = now.Add(7 * 24 * time.Hour)

	evaluator := NewEvaluator(lc)
	evts := evaluator.eval([]ObjectOpts{obj1, obj2}, now)
	evt := evts[0]
	if evt.Action != TransitionAction {

// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License

// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License

// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License

// that defines two inputs, "concat_dim" and "values" (in that order).
// You must use TF_AddInput() for the first input (since it takes a
// single tensor), and TF_AddInputList() for the second input (since
// it takes a list, even if you were to pass a list with a single
// tensor), as in:
//   TF_OperationDescription* desc = TF_NewOperation(graph, "Concat", "c");
//   TF_Output concat_dim_input = {...};
//   TF_AddInput(desc, concat_dim_input);

                            project, convert(r.getProblemCollector()), resolutionResult));
                } else {
                    // Extract project identification even when effective model is null
                    String projectId = extractProjectId(r);
                    File sourcePomFile = r.getSource() != null && r.getSource().getPath() != null

// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License

config_setting(
    name = "with_xla_support",
    define_values = {"with_xla_support": "true"},
    visibility = ["//visibility:public"],
)

# By default, XLA GPU is compiled into tensorflow when building with
# --config=cuda even when `with_xla_support` is false. The config setting
# here allows us to override the behavior if needed.
config_setting(
    name = "no_xla_deps_in_cuda",
    define_values = {"no_xla_deps_in_cuda": "true"},

                try {
                    model = modelProcessor.read(modelSource.getInputStream(), options);
                } catch (ModelParseException ne) {
                    // still unreadable even in non-strict mode, rethrow original error
                    throw e;
                }

                if (pomFile != null) {

                // Recursively call executePlan to process steps that depend on this one
                executePlan();
            }
        }

        private void executePlan() {
            // Even if the build is halted, we still want to execute TEARDOWN and after:* steps
            // for proper cleanup, so we don't return early here
            Clock global = getClock(GLOBAL);
            global.start();