How to use _dispatch_test_result method in lisa

Best Python code snippet using lisa_python

lisa_runner.py

Source:lisa_runner.py Github

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...115 test_results=can_run_results, environment=environment116 )117 if not environment_results:118 continue119 task = self._dispatch_test_result(120 environment=environment, test_results=environment_results121 )122 # there is more checking conditions. If some conditions doesn't123 # meet, the task is None. If so, not return, and try next124 # conditions or skip this test case.125 if task:126 return task127 if not any(128 x.is_in_use or x.status == EnvironmentStatus.New129 for x in available_environments130 ):131 # if there is no environment in used, new, and results are132 # not fit envs. those results cannot be run.133 self._skip_test_results(can_run_results)134 elif available_results:135 # no available environments, so mark all test results skipped.136 self._skip_test_results(available_results)137 self.status = ActionStatus.SUCCESS138 return None139 def close(self) -> None:140 if hasattr(self, "environments") and self.environments:141 for environment in self.environments:142 self._delete_environment_task(environment, [])143 super().close()144 def _dispatch_test_result(145 self, environment: Environment, test_results: List[TestResult]146 ) -> Optional[Task[None]]:147 check_cancelled()148 assert test_results149 can_run_results = test_results150 # deploy151 if environment.status == EnvironmentStatus.Prepared and can_run_results:152 return self._generate_task(153 task_method=self._deploy_environment_task,154 environment=environment,155 test_results=can_run_results[:1],156 )157 # run on deployed environment158 can_run_results = [x for x in can_run_results if x.can_run]...

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