Python gc.enable方法代碼示例

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def timeit(self, number=default_number):
        """Time 'number' executions of the main statement.

        To be precise, this executes the setup statement once, and
        then returns the time it takes to execute the main statement
        a number of times, as a float measured in seconds.  The
        argument is the number of times through the loop, defaulting
        to one million.  The main statement, the setup statement and
        the timer function to be used are passed to the constructor.
        """
        it = itertools.repeat(None, number)
        gcold = gc.isenabled()
        gc.disable()
        try:
            timing = self.inner(it, self.timer)
        finally:
            if gcold:
                gc.enable()
        return timing 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def _assert_valid_refcount(op):
    """
    Check that ufuncs don't mishandle refcount of object `1`.
    Used in a few regression tests.
    """
    if not HAS_REFCOUNT:
        return True
    import numpy as np, gc

    b = np.arange(100*100).reshape(100, 100)
    c = b
    i = 1

    gc.disable()
    try:
        rc = sys.getrefcount(i)
        for j in range(15):
            d = op(b, c)
        assert_(sys.getrefcount(i) >= rc)
    finally:
        gc.enable()
    del d  # for pyflakes 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def timeit(self, number=default_number):
        """Time 'number' executions of the main statement.

        To be precise, this executes the setup statement once, and
        then returns the time it takes to execute the main statement
        a number of times, as a float measured in seconds.  The
        argument is the number of times through the loop, defaulting
        to one million.  The main statement, the setup statement and
        the timer function to be used are passed to the constructor.
        """
        if itertools:
            it = itertools.repeat(None, number)
        else:
            it = [None] * number
        gcold = gc.isenabled()
        gc.disable()
        timing = self.inner(it, self.timer)
        if gcold:
            gc.enable()
        return timing 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def test_load_refcount():
    # Check that objects returned by np.load are directly freed based on
    # their refcount, rather than needing the gc to collect them.

    f = BytesIO()
    np.savez(f, [1, 2, 3])
    f.seek(0)

    assert_(gc.isenabled())
    gc.disable()
    try:
        gc.collect()
        np.load(f)
        # gc.collect returns the number of unreachable objects in cycles that
        # were found -- we are checking that no cycles were created by np.load
        n_objects_in_cycles = gc.collect()
    finally:
        gc.enable()
    assert_equal(n_objects_in_cycles, 0) 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def test_circular_references(sentry_init, request):
    sentry_init(default_integrations=False, integrations=[ThreadingIntegration()])

    gc.collect()
    gc.disable()
    request.addfinalizer(gc.enable)

    class MyThread(Thread):
        def run(self):
            pass

    t = MyThread()
    t.start()
    t.join()
    del t

    assert not gc.collect() 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def timeit(self, number=default_number):
        """Time 'number' executions of the main statement.

        To be precise, this executes the setup statement once, and
        then returns the time it takes to execute the main statement
        a number of times, as a float measured in seconds.  The
        argument is the number of times through the loop, defaulting
        to one million.  The main statement, the setup statement and
        the timer function to be used are passed to the constructor.
        """
        if itertools:
            it = itertools.repeat(None, number)
        else:
            it = [None] * number
        gcold = gc.isenabled()
        gc.disable()
        try:
            timing = self.inner(it, self.timer)
        finally:
            if gcold:
                gc.enable()
        return timing 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def test_del_newclass(self):
        # __del__ methods can trigger collection, make this to happen
        thresholds = gc.get_threshold()
        gc.enable()
        gc.set_threshold(1)

        class A(object):
            def __del__(self):
                dir(self)
        a = A()
        del a

        gc.disable()
        gc.set_threshold(*thresholds)

    # The following two tests are fragile:
    # They precisely count the number of allocations,
    # which is highly implementation-dependent.
    # For example:
    # - disposed tuples are not freed, but reused
    # - the call to assertEqual somehow avoids building its args tuple 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def test_main():
    enabled = gc.isenabled()
    gc.disable()
    assert not gc.isenabled()
    debug = gc.get_debug()
    gc.set_debug(debug & ~gc.DEBUG_LEAK) # this test is supposed to leak

    try:
        gc.collect() # Delete 2nd generation garbage
        run_unittest(GCTests, GCTogglingTests)
    finally:
        gc.set_debug(debug)
        # test gc.enable() even if GC is disabled by default
        if verbose:
            print "restoring automatic collection"
        # make sure to always test gc.enable()
        gc.enable()
        assert gc.isenabled()
        if not enabled:
            gc.disable() 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def test_free_from_gc(self):
        # Check that freeing of blocks by the garbage collector doesn't deadlock
        # (issue #12352).
        # Make sure the GC is enabled, and set lower collection thresholds to
        # make collections more frequent (and increase the probability of
        # deadlock).
        if not gc.isenabled():
            gc.enable()
            self.addCleanup(gc.disable)
        thresholds = gc.get_threshold()
        self.addCleanup(gc.set_threshold, *thresholds)
        gc.set_threshold(10)

        # perform numerous block allocations, with cyclic references to make
        # sure objects are collected asynchronously by the gc
        for i in range(5000):
            a = multiprocessing.heap.BufferWrapper(1)
            b = multiprocessing.heap.BufferWrapper(1)
            # circular references
            a.buddy = b
            b.buddy = a

#
#
# 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def test_gc_state():
    # Test gc_state context manager
    gc_status = gc.isenabled()
    try:
        for pre_state in (True, False):
            set_gc_state(pre_state)
            for with_state in (True, False):
                # Check the gc state is with_state in with block
                with gc_state(with_state):
                    assert_equal(gc.isenabled(), with_state)
                # And returns to previous state outside block
                assert_equal(gc.isenabled(), pre_state)
                # Even if the gc state is set explicitly within the block
                with gc_state(with_state):
                    assert_equal(gc.isenabled(), with_state)
                    set_gc_state(not with_state)
                assert_equal(gc.isenabled(), pre_state)
    finally:
        if gc_status:
            gc.enable() 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def load_parser(self, path, original_changed_time):
        try:
            pickle_changed_time = self._index[path]
        except KeyError:
            return None
        if original_changed_time is not None \
                and pickle_changed_time < original_changed_time:
            # the pickle file is outdated
            return None

        with open(self._get_hashed_path(path), 'rb') as f:
            try:
                gc.disable()
                parser_cache_item = pickle.load(f)
            finally:
                gc.enable()

        debug.dbg('pickle loaded: %s', path)
        parser_cache[path] = parser_cache_item
        return parser_cache_item.parser 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def test_getWorkerArguments(self):
        """
        C{_getWorkerArguments} discards options like C{random} as they only
        matter in the manager, and forwards options like C{recursionlimit} or
        C{disablegc}.
        """
        self.addCleanup(sys.setrecursionlimit, sys.getrecursionlimit())
        if gc.isenabled():
            self.addCleanup(gc.enable)

        self.options.parseOptions(["--recursionlimit", "2000", "--random",
                                   "4", "--disablegc"])
        args = self.options._getWorkerArguments()
        self.assertIn("--disablegc", args)
        args.remove("--disablegc")
        self.assertEqual(["--recursionlimit", "2000"], args) 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def setUp(self):
        """
        Replace L{process} os, fcntl, sys, switchUID, fdesc and pty modules
        with the mock class L{MockOS}.
        """
        if gc.isenabled():
            self.addCleanup(gc.enable)
        else:
            self.addCleanup(gc.disable)
        self.mockos = MockOS()
        self.mockos.euid = 1236
        self.mockos.egid = 1234
        self.patch(process, "os", self.mockos)
        self.patch(process, "fcntl", self.mockos)
        self.patch(process, "sys", self.mockos)
        self.patch(process, "switchUID", self.mockos.switchUID)
        self.patch(process, "fdesc", self.mockos)
        self.patch(process.Process, "processReaderFactory", DumbProcessReader)
        self.patch(process.Process, "processWriterFactory", DumbProcessWriter)
        self.patch(process, "pty", self.mockos)

        self.mocksig = MockSignal()
        self.patch(process, "signal", self.mocksig) 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def host_memory_usage_in_gb():
    gc.collect()
    gc.disable() # Avoids accessing gc'd objects during traversal.
    objects = gc.get_objects()
    tensors = [obj for obj in objects if torch.is_tensor(obj)] # Debug
    host_tensors = [t for t in tensors if not t.is_cuda]
    total_mem_mb = 0
    visited_data = []

    for tensor in host_tensors:
        if tensor.is_sparse:
            continue
        # a data_ptr indicates a memory block allocated
        data_ptr = tensor.storage().data_ptr()
        if data_ptr in visited_data:
            continue
        visited_data.append(data_ptr)

        numel = tensor.storage().size()
        element_size = tensor.storage().element_size()
        mem_mb = numel*element_size /1024/1024 # 32bit=4Byte, MByte
        total_mem_mb += mem_mb

    gc.enable()
    return total_mem_mb / 1024 # in 

# 需要導入模塊: import gc [as 別名]
# 或者: from gc import enable [as 別名]
def _exitfunc(cls):
        # At shutdown invoke finalizers for which atexit is true.
        # This is called once all other non-daemonic threads have been
        # joined.
        reenable_gc = False
        try:
            if cls._registry:
                import gc
                if gc.isenabled():
                    reenable_gc = True
                    gc.disable()
                pending = None
                while True:
                    if pending is None or finalize._dirty:
                        pending = cls._select_for_exit()
                        finalize._dirty = False
                    if not pending:
                        break
                    f = pending.pop()
                    try:
                        # gc is disabled, so (assuming no daemonic
                        # threads) the following is the only line in
                        # this function which might trigger creation
                        # of a new finalizer
                        f()
                    except Exception:
                        sys.excepthook(*sys.exc_info())
                    assert f not in cls._registry
        finally:
            # prevent any more finalizers from executing during shutdown
            finalize._shutdown = True
            if reenable_gc:
                gc.enable()