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How to use run_model_with_cmdline method in Behave

Best Python code snippet using behave

behave_model_tag_logic_steps.py

Source:behave_model_tag_logic_steps.py

...79    for row_index, row in enumerate(context.table.rows):80        cmdline = row["cmdline"]81        expected_selected_names = convert_comma_list(row["selected?"])82        # -- STEP: Run model with cmdline tags83        run_model_with_cmdline(model, cmdline)84        selected, skipped = collect_selected_and_skipped_scenarios(model)85        actual_selected = [scenario.name  for scenario in selected]86        # -- CHECK:87        assert_that(actual_selected, equal_to(expected_selected_names),...

behave_model_util.py

Source:behave_model_util.py

...61                self.build_scenario(name, tags)62            else:63                self.build_unknown(statement, name, row_index=row_index)64        return Model(self.features)65def run_model_with_cmdline(model, cmdline):66    reset_model(model.features)67    command_args = cmdline68    config = Configuration(command_args,69                           load_config=False,70                            default_format="null",71                            stdout_capture=False,72                            stderr_capture=False,73                            log_capture=False)74    model_runner = ModelRunner(config, model.features)75    return model_runner.run()76def collect_selected_and_skipped_scenarios(model):77    selected = []78    skipped = []79    for feature in model.features:...

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