How to use numa_nodes_with_memory method in avocado

Best Python code snippet using avocado_python

numa_test.py

Source:numa_test.py

...19from avocado import Test20from avocado import skipIf21from avocado.utils import process, build, memory, distro, genio22from avocado.utils.software_manager.manager import SoftwareManager23SINGLE_NODE = len(memory.numa_nodes_with_memory()) < 224class NumaTest(Test):25    """26    Exercises numa_move_pages and mbind call with 20% of the machine's free27    memory28    :avocado: tags=memory,migration,hugepage29    """30    def copyutil(self, file_name):31        shutil.copyfile(self.get_data(file_name),32                        os.path.join(self.teststmpdir, file_name))33    def setUp(self):34        smm = SoftwareManager()35        dist = distro.detect()36        memsize = int(memory.meminfo.MemFree.b * 0.2)37        self.nr_pages = self.params.get(38            'nr_pages', default=memsize // memory.get_page_size())39        self.map_type = self.params.get('map_type', default='private')40        self.hpage = self.params.get('h_page', default=False)41        nodes = memory.numa_nodes_with_memory()42        pkgs = ['gcc', 'make']43        hp_check = 044        if self.hpage:45            hp_size = memory.get_huge_page_size()46            for node in nodes:47                genio.write_file('/sys/devices/system/node/node%s/hugepages/hu'48                                 'gepages-%skB/nr_hugepages' %49                                 (node, str(hp_size)), str(self.nr_pages))50            for node in nodes:51                hp_check += int(genio.read_file(52                    '/sys/devices/system/node/node%s/hugepages/hugepages-%skB'53                    '/nr_hugepages' % (node, str(hp_size))).strip())54            if hp_check < self.nr_pages:55                self.cancel('Not enough pages to be configured on nodes')...

numactl.py

Source:numactl.py

...54        build.make(self.sourcedir)55    def test(self):56        if build.make(self.sourcedir, extra_args='-k -j 1'57                      ' test', ignore_status=True):58            if len(memory.numa_nodes_with_memory()) < 2:59                self.log.warn('Few tests failed due to less NUMA mem-nodes')60            else:...

fixtures.py

Source:fixtures.py

1"""2High performance VM test fixtures3"""4import pytest5import art.rhevm_api.tests_lib.low_level.hosts as ll_hosts6import art.rhevm_api.tests_lib.low_level.vms as ll_vms7import rhevmtests.compute.sla.high_performance_vm.config as conf8@pytest.fixture(scope="module")9def fill_numa_nodes_constants():10    """11    Fill NUMA node constants12    """13    host_numa_nodes = ll_hosts.get_numa_nodes_from_host(14        host_name=conf.HOSTS[0]15    )16    numa_nodes_with_memory = filter(17        lambda node: ll_hosts.get_numa_node_memory(numa_node_obj=node) > 0,18        host_numa_nodes19    )20    if len(numa_nodes_with_memory) < 2:21        return22    numa_nodes_with_memory.sort(key=ll_hosts.get_numa_node_index)23    conf.NUMA_NODE_0 = numa_nodes_with_memory[0]24    conf.NUMA_NODE_1 = numa_nodes_with_memory[1]25@pytest.fixture(scope="class")26def update_vm_cpu_and_numa_pinning(request):27    """28    Update VM CPU and NUMA pinning before run other fixtures29    """30    vm_params = request.node.cls.vms_to_params[conf.VM_NAME[0]]31    on_the_same_node = request.node.cls.on_the_same_node32    numa_nodes = [conf.NUMA_NODE_0, conf.NUMA_NODE_1]33    cores_number = len(numa_nodes)34    vm_params[conf.VM_CPU_CORES] = cores_number35    cpu_pinning = []36    if on_the_same_node:37        for i, node in enumerate(numa_nodes):38            node_cpu = ll_hosts.get_numa_node_cpus(numa_node_obj=node)[0]39            cpu_pinning.append({str(i): str(node_cpu)})40    else:41        node_index = ll_hosts.get_numa_node_index(42            numa_node_obj=conf.NUMA_NODE_043        )44        vm_numa_nodes_params = getattr(45            request.node.cls, "vm_numa_nodes_params", []46        )47        # Update VM NUMA node parameters48        vm_numa_nodes_params.append(49            {50                conf.NUMA_NODE_PARAMS_INDEX: 0,51                conf.NUMA_NODE_PARAMS_CORES: range(cores_number),52                conf.NUMA_NODE_PARAMS_MEMORY: ll_vms.get_vm_memory(53                    vm_name=conf.VM_NAME[0]54                ) / conf.MB,55                conf.NUMA_NODE_PARAMS_PIN_LIST: [node_index]56            }57        )58        node_cpus = ll_hosts.get_numa_node_cpus(numa_node_obj=conf.NUMA_NODE_1)59        for i in range(cores_number):60            cpu_pinning.append({str(i): str(node_cpus[i])})61    # Update VM CPU pinning parameters...

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