Python summary.summarize方法代碼示例

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def print_muppy_sumary():
    # http://pythonhosted.org/Pympler/index.html
    try:
        from pympler import muppy, summary
    except ImportError:
        print("WARNING: pympler not installed")
        return
    # from pympler.classtracker import ClassTracker
    # from pympler.classtracker_stats import HtmlStats
    global all_objects, obj_summary, class_tracker
    if all_objects is None:
        all_objects = muppy.get_objects()
        obj_summary = summary.summarize(all_objects)
        summary.print_(obj_summary)

        # class_tracker = ClassTracker()
        # class_tracker.track_class(FICSPlayer, trace=1)
        # class_tracker.track_class(ICGameModel, resolution_level=2, trace=1)
    else:
        obj_summary2 = summary.summarize(muppy.get_objects())
        diff = summary.get_diff(obj_summary, obj_summary2)
        summary.print_(diff, limit=200)

        # class_tracker.create_snapshot('usage')
        # HtmlStats(tracker=class_tracker).create_html('profile.html') 

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def _create_app_impl(self, app):
        @app.route('/profile')
        def profile():
            if self.profiler is None:
                return 'Profiling disabled\n', 404
            resp = self.profiler.stats()
            if request.args.get('reset ') in (1, 'true'):
                self.profiler.reset()
            return resp

        @app.route('/load')
        def load():
            if self.tracer is None:
                return 'Load tracing disabled\n', 404
            resp = jsonify(self.tracer.stats())
            if request.args.get('reset ') in (1, 'true'):
                self.tracer.reset()
            return resp

        @app.route('/mem')
        def mem():
            objs = muppy.get_objects()
            summ = summary.summarize(objs)
            return '\n'.join(summary.format_(summ)) + '\n' 

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def memory_profiler(self):
        all_objects = muppy.get_objects()
        stats = summary.summarize(all_objects)
        return {'Memory_profiler': [l for l in summary.format_(stats, LIMIT_OBJECTS_FOR_PROFILER)]} 

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def print_summary():
    """Print a summary of all known objects."""
    summary.print_(summary.summarize(get_objects())) 

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def __init__(self, ignore_self=True):
        """Constructor.

        The number of summaries managed by the tracker has an performance
        impact on new summaries, iff you decide to exclude them from further
        summaries. Therefore it is suggested to use them economically.

        Keyword arguments:
        ignore_self -- summaries managed by this object will be ignored.
        """
        self.s0 = summary.summarize(muppy.get_objects())
        self.summaries = {}
        self.ignore_self = ignore_self 

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def print_diff(self, ignore=[]):
        """Print the diff to the last time the state of objects was measured.

        keyword arguments
        ignore -- list of objects to ignore
        """
        # ignore this and the caller frame
        ignore.append(inspect.currentframe()) #PYCHOK change ignore
        diff = self.get_diff(ignore)
        print("Added objects:")
        summary.print_(summary.summarize(diff['+']))
        print("Removed objects:")
        summary.print_(summary.summarize(diff['-']))
        # manual cleanup, see comment above
        del ignore[:] 

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def on_epoch_end(self, epoch, log={}):
        x = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
        web_browser_debug = True
        print(x)

        if x > 40000:
            if web_browser_debug:
                if epoch==0:
                    start_in_background()
                    tr = tracker.SummaryTracker()
                    tr.print_diff()
            else:
                global memlist
                all_objects = muppy.get_objects(include_frames=True)
                # print(len(all_objects))
                sum1 = summary.summarize(all_objects)
                memlist.append(sum1)
                summary.print_(sum1)
                if len(memlist) > 1:
                    # compare with last - prints the difference per epoch
                    diff = summary.get_diff(memlist[-2], memlist[-1])
                    summary.print_(diff)
                my_types = muppy.filter(all_objects, Type=types.ClassType)

                for t in my_types:
                    print(t)


    ######################################################### 

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def _capture_snapshot(self):
        # type: () -> None
        """
        Capture memory usage snapshot.
        """
        capture_time = int(time.time())

        # 1. Capture aggregate values
        all_objects = muppy.get_objects()
        all_objects = self._filter_muppy_objects(all_objects)
        sum1 = summary.summarize(all_objects)
        data = summary.format_(sum1, limit=50)

        item = {
            "timestamp": capture_time,
            "data": list(data),
            "type": "aggregated",
        }
        self._profiling_data.append(item)

        # 2. Capture diff since the last capture
        data = self._tracker.format_diff()
        item = {
            "timestamp": capture_time,
            "data": list(data),
            "type": "diff",
        }
        self._profiling_data.append(item) 

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def __exit__(self, exc_type, exc_val, exc_tb):
        if self.debug:
            try:
                gc.collect()
                end_memory = self.process.memory_info().rss
                net_memory = end_memory-self.start_memory
                if net_memory > 100 * 1000 * 1000:
                    Log.warning(
                        "MEMORY WARNING (additional {{net_memory|comma}}bytes): "+self.description,
                        default_params=self.params,
                        net_memory=net_memory
                    )

                    from pympler import summary
                    from pympler import muppy
                    sum1 = sorted(summary.summarize(muppy.get_objects()), key=lambda r: -r[2])[:30]
                    Log.warning("{{data}}", data=sum1)
                elif end_memory > 1000*1000*1000:
                    Log.warning(
                        "MEMORY WARNING (over {{end_memory|comma}}bytes): "+self.description,
                        default_params=self.params,
                        end_memory=end_memory
                    )

                    from pympler import summary
                    from pympler import muppy
                    sum1 = sorted(summary.summarize(muppy.get_objects()), key=lambda r: -r[2])[:30]
                    Log.warning("{{data}}", data=sum1)

            except Exception as e:
                Log.warning("problem in memory measure", cause=e) 

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def dump_objs():
	global TRACKER
	if TRACKER is None:
		TRACKER = tracker.SummaryTracker()

	with open("obj_log.txt", "a") as fp:
		fp.write("Memory at {}\n".format(str(datetime.datetime.now())))
		try:
			all_objects = muppy.get_objects()
			sum1 = summary.summarize(all_objects)
			str_sum  = summary.format_(sum1)

			fp.write("Summary:\n")
			for line in str_sum:
				fp.write("	{}\n".format(line))
		except Exception:
			err = traceback.format_exc()
			fp.write("Error: \n")
			fp.write(err)

		try:
			str_diff = TRACKER.format_diff()
			fp.write("Diff:\n")
			for line in str_diff:
				fp.write("	{}\n".format(line))
		except Exception:
			err = traceback.format_exc()
			fp.write("Error: \n")
			fp.write(err)

		fp.write("\n") 

# 需要導入模塊: from pympler import summary [as 別名]
# 或者: from pympler.summary import summarize [as 別名]
def create_summary(self):
        """Return a summary.

        See also the notes on ignore_self in the class as well as the
        initializer documentation.

        """
        if not self.ignore_self:
            res = summary.summarize(muppy.get_objects())
        else:
            # If the user requested the data required to store summaries to be
            # ignored in the summaries, we need to identify all objects which
            # are related to each summary stored.
            # Thus we build a list of all objects used for summary storage as
            # well as a dictionary which tells us how often an object is
            # referenced by the summaries.
            # During this identification process, more objects are referenced,
            # namely int objects identifying referenced objects as well as the
            # correspondind count.
            # For all these objects it will be checked wether they are
            # referenced from outside the monitor's scope. If not, they will be
            # subtracted from the snapshot summary, otherwise they are
            # included (as this indicates that they are relevant to the
            # application).

            all_of_them = []  # every single object
            ref_counter = {}  # how often it is referenced; (id(o), o) pairs
            def store_info(o):
                all_of_them.append(o)
                if id(o) in ref_counter:
                    ref_counter[id(o)] += 1
                else:
                    ref_counter[id(o)] = 1

            # store infos on every single object related to the summaries
            store_info(self.summaries)
            for k, v in self.summaries.items():
                store_info(k)
                summary._traverse(v, store_info)

            # do the summary
            res = summary.summarize(muppy.get_objects())

            # remove ids stored in the ref_counter
            for _id in ref_counter:
                # referenced in frame, ref_counter, ref_counter.keys()
                if len(gc.get_referrers(_id)) == (3):
                    summary._subtract(res, _id)
            for o in all_of_them:
                # referenced in frame, summary, all_of_them
                if len(gc.get_referrers(o)) == (ref_counter[id(o)] + 2):
                    summary._subtract(res, o)

        return res