How to use _get_kernel_data method in autotest

Best Python code snippet using autotest_python

job.py

Source:job.py

...344        self.parser.add_option('--require-ssp',345                               help='Require server-side packaging',346                               default=False, action='store_true')347    @staticmethod348    def _get_kernel_data(kernel_list, cmdline):349        # the RPC supports cmdline per kernel version in a dictionary350        kernels = []351        for version in re.split(r'[, ]+', kernel_list):352            if not version:353                continue354            kernel_info = {'version': version}355            if cmdline:356                kernel_info['cmdline'] = cmdline357            kernels.append(kernel_info)358        return kernels359    def parse(self):360        deps_info = topic_common.item_parse_info(attribute_name='dependencies',361                                                 inline_option='dependencies')362        options, leftover = super(job_create, self).parse(363                parse_info=[deps_info])364        if (len(self.hosts) == 0 and not self.one_time_hosts365            and not options.labels and not options.atomic_group):366            self.invalid_syntax('Must specify at least one machine '367                                'or an atomic group '368                                '(-m, -M, -b, -G or --one-time-hosts).')369        if not options.control_file and not options.test:370            self.invalid_syntax('Must specify either --test or --control-file'371                                ' to create a job.')372        if options.control_file and options.test:373            self.invalid_syntax('Can only specify one of --control-file or '374                                '--test, not both.')375        if options.kernel:376            self.ctrl_file_data['kernel'] = self._get_kernel_data(377                    options.kernel, options.kernel_cmdline)378        if options.control_file:379            try:380                control_file_f = open(options.control_file)381                try:382                    control_file_data = control_file_f.read()383                finally:384                    control_file_f.close()385            except IOError:386                self.generic_error('Unable to read from specified '387                                   'control-file: %s' % options.control_file)388            if options.kernel:389                # execute() will pass this to the AFE server to wrap this390                # control file up to include the kernel installation steps....

lidar.py

Source:lidar.py

...16        self.pc_distance = pc_distance17        # Initialize Kernel Size (with Same Width and Height)18        self.kernel_size = kernel_size19        # Get LiDAR Kernel Data20        self.data = self._get_kernel_data(21            frame=sensor_data.get_data()22        )23        pass24    def get_kernel_average_depth(self):25        return np.average(self.data)26    def _get_kernel_data(self, frame):27        """28        :param frame: 2-D ndarray (only 2-D ndarray is supported for now...!)29        """30        assert len(frame.shape) == 231        # u-coordinate compensation32        u_min = np.round(self.c_u - 0.5*self.kernel_size).astype(int)33        u_min = 0 if u_min < 0 else u_min34        u_max = np.round(self.c_u + 0.5*self.kernel_size).astype(int)35        u_max = frame.shape[1] - 1 if u_max >= frame.shape[1] else u_max36        # v-coordinate compensation37        v_min = np.round(self.c_v - 0.5*self.kernel_size).astype(int)38        v_min = 0 if v_min < 0 else v_min39        v_max = np.round(self.c_v + 0.5*self.kernel_size).astype(int)40        v_max = frame.shape[0] - 1 if v_max >= frame.shape[0] else v_max...

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