Python gc 模块，isenabled() 实例源码

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

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

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)

def _run(self, n):
        self._make_args(n)

        gcold = gc.isenabled()
        gc.disable()

        times = []
        for i in range(self._cmd.args.runs):
            t_start = time.time()
            self._compute()
            elapsed = time.time() - t_start
            times.append(elapsed)

        if gcold:
            gc.enable()

        return times

def timeit(self, number=timeit.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

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

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

#
#
#

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()

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)

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

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

#
#
#

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

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

#
#
#

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

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

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

#
#
#

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, GCCallbackTests)
    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()

def timeit(self, number=timeit.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

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.
        """
        inner = self.make_inner()
        gcold = gc.isenabled()
        if '__pypy__' not in sys.builtin_module_names:
            gc.disable()    # only do that on CPython
        try:
            timing = inner(number, self.timer)
        finally:
            if gcold:
                gc.enable()
        return timing

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

#
#
#

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

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

def test_get_stats(self):
        stats = gc.get_stats()
        self.assertEqual(len(stats), 3)
        for st in stats:
            self.assertIsInstance(st, dict)
            self.assertEqual(set(st),
                             {"collected", "collections", "uncollectable"})
            self.assertGreaterEqual(st["collected"], 0)
            self.assertGreaterEqual(st["collections"], 0)
            self.assertGreaterEqual(st["uncollectable"], 0)
        # Check that collection counts are incremented correctly
        if gc.isenabled():
            self.addCleanup(gc.enable)
            gc.disable()
        old = gc.get_stats()
        gc.collect(0)
        new = gc.get_stats()
        self.assertEqual(new[0]["collections"], old[0]["collections"] + 1)
        self.assertEqual(new[1]["collections"], old[1]["collections"])
        self.assertEqual(new[2]["collections"], old[2]["collections"])
        gc.collect(2)
        new = gc.get_stats()
        self.assertEqual(new[0]["collections"], old[0]["collections"] + 1)
        self.assertEqual(new[1]["collections"], old[1]["collections"])
        self.assertEqual(new[2]["collections"], old[2]["collections"] + 1)

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, GCCallbackTests)
    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()

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

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

#
#
#

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)

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

def timeit(self, number=timeit.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

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)

def test_mockFork(self):
        """
        Test a classic spawnProcess. Check the path of the client code:
        fork, exec, exit.
        """
        gc.enable()

        cmd = b'/mock/ouch'

        d = defer.Deferred()
        p = TrivialProcessProtocol(d)
        try:
            reactor.spawnProcess(p, cmd, [b'ouch'], env=None,
                                 usePTY=False)
        except SystemError:
            self.assertTrue(self.mockos.exited)
            self.assertEqual(
                self.mockos.actions, [("fork", False), "exec", ("exit", 1)])
        else:
            self.fail("Should not be here")

        # It should leave the garbage collector disabled.
        self.assertFalse(gc.isenabled())

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)

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)

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

def test_get_stats(self):
        stats = gc.get_stats()
        self.assertEqual(len(stats), 3)
        for st in stats:
            self.assertIsInstance(st, dict)
            self.assertEqual(set(st),
                             {"collected", "collections", "uncollectable"})
            self.assertGreaterEqual(st["collected"], 0)
            self.assertGreaterEqual(st["collections"], 0)
            self.assertGreaterEqual(st["uncollectable"], 0)
        # Check that collection counts are incremented correctly
        if gc.isenabled():
            self.addCleanup(gc.enable)
            gc.disable()
        old = gc.get_stats()
        gc.collect(0)
        new = gc.get_stats()
        self.assertEqual(new[0]["collections"], old[0]["collections"] + 1)
        self.assertEqual(new[1]["collections"], old[1]["collections"])
        self.assertEqual(new[2]["collections"], old[2]["collections"])
        gc.collect(2)
        new = gc.get_stats()
        self.assertEqual(new[0]["collections"], old[0]["collections"] + 1)
        self.assertEqual(new[1]["collections"], old[1]["collections"])
        self.assertEqual(new[2]["collections"], old[2]["collections"] + 1)

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, GCCallbackTests)
    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()

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

#
#
#

def executeSQL(self, sql, connection=None, commit=False):
        """Execute the given SQL.

        This will connect to the database for the first time if necessary.
        This method will also log the SQL to self._sqlEcho, if it is not None.
        Returns the connection and cursor used and relies on connectionAndCursor()
        to obtain these. Note that you can pass in a connection to force a
        particular one to be used and a flag to commit immediately.
        """
        sql = str(sql)  # Excel-based models yield Unicode strings which some db modules don't like
        sql = sql.strip()
        if aggressiveGC:
            import gc
            assert gc.isenabled()
            gc.collect()
        self._sqlCount += 1
        if self._sqlEcho:
            timestamp = funcs.timestamp()['pretty']
            self._sqlEcho.write('SQL %04i. %s %s\n' % (self._sqlCount, timestamp, sql))
            self._sqlEcho.flush()
        conn, cur = self.connectionAndCursor(connection)
        self._executeSQL(cur, sql)
        if commit:
            conn.commit()
        return conn, cur

def timeit(self, number=timeit.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

def timeit(self, number=timeit.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

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)

def bench_on(runner, sym, Ns, trials, dtype=None):
    global args, kernel, out, mkl_layer
    prepare = globals().get("prepare_"+sym, prepare_default)
    kernel  = globals().get("kernel_"+sym, None)
    if not kernel:
       kernel = getattr(np.linalg, sym)
    out_lvl = runner.__doc__.split('.')[0].strip()
    func_s  = kernel.__doc__.split('.')[0].strip()
    log.debug('Preparing input data for %s (%s).. ' % (sym, func_s))
    args = [prepare(int(i)) for i in Ns]
    it = range(len(Ns))
    # pprint(Ns)
    out = np.empty(shape=(len(Ns), trials))
    b = body(trials)
    tic, toc = (0, 0)
    log.debug('Warming up %s (%s).. ' % (sym, func_s))
    runner(range(1000), empty_work)
    kernel(*args[0])
    runner(range(1000), empty_work)
    log.debug('Benchmarking %s on %s: ' % (func_s, out_lvl))
    gc_old = gc.isenabled()
#    gc.disable()
    tic = time.time()
    runner(it, b)
    toc = time.time() - tic
    if gc_old:
        gc.enable()
    if 'reused_pool' in globals():
        del globals()['reused_pool']

    #calculate average time and min time and also keep track of outliers (max time in the loop)
    min_time = np.amin(out)
    max_time = np.amax(out)
    mean_time = np.mean(out)
    stdev_time = np.std(out)

    #print("Min = %.5f, Max = %.5f, Mean = %.5f, stdev = %.5f " % (min_time, max_time, mean_time, stdev_time))
    #final_times = [min_time, max_time, mean_time, stdev_time]

    print('## %s: Outter:%s, Inner:%s, Wall seconds:%f\n' % (sym, out_lvl, mkl_layer, float(toc)))
    return out

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()

def __enter__(self):
        if self.disable_gc:
            self.gc_state = gc.isenabled()
            gc.disable()
        self.start = self.timer()
        return self

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()

def __enter__(self):
        parent = inspect.currentframe().f_back
        try:
            if parent.f_code.co_flags & inspect.CO_NEWLOCALS:
                raise RuntimeError('timers only work when invoked at the module/script level')
            self._with_start = parent.f_lasti
        finally:
            del parent
        gc_enabled = gc.isenabled()
        gc.disable()
        self._gc_enabled = gc_enabled
        self._start_time = self.time_function()
        return self

def run(self, iterations=1000):
        gc_enabled = gc.isenabled()
        gc.disable()
        try:
            return _MeasurementSamples(self.get_sample() for _ in xrange(iterations))
        finally:
            if gc_enabled:
                gc.enable()

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()

def disable_gc():
    have_gc = gc.isenabled()
    gc.disable()
    try:
        yield
    finally:
        if have_gc:
            gc.enable()

def setUp(self):
        self.using_gc = gc.isenabled()
        gc.disable()