import types and functions implemented in c 3 digits xx x unit 4 or 5 digits xxxx unit statistic difference on memory allocations between two snapshot instance statistic difference on memory allocations between an old and a new snapshot instance frame of a traceback frame is a tuple filename str lineno int sequence of frame instances sorted from the oldest frame to the most recent frame frames is a tuple of frame tuples see frame constructor for the format of a frame tuple it is reversed because tracemalloc returns frames sorted from most recent to oldest but the python api expects oldest to most recent get the traceback where the python object obj was allocated return a traceback instance return none if the tracemalloc module is not tracing memory allocations or did not trace the allocation of the object trace of a memory block trace is a tuple domain int size int traceback tuple see traceback constructor for the format of the traceback tuple traces is a tuple of trace tuples see trace constructor snapshot of traces of memory blocks allocated by python traces is a tuple of trace tuples see traces constructor for the exact format write the snapshot into a file load a snapshot from a file create a new snapshot instance with a filtered traces sequence filters is a list of filter or domainfilter instances if filters is an empty list return a new snapshot instance with a copy of the traces cumulative statistics group statistics by keytype return a sorted list of statistic instances compute the differences with an old snapshot oldsnapshot get statistics as a sorted list of statisticdiff instances grouped by groupby take a snapshot of traces of memory blocks allocated by python import types and functions implemented in c 3 digits xx x unit 4 or 5 digits xxxx unit statistic difference on memory allocations between two snapshot instance statistic difference on memory allocations between an old and a new snapshot instance frame of a traceback frame is a tuple filename str lineno int sequence of frame instances sorted from the oldest frame to the most recent frame frames is a tuple of frame tuples see frame constructor for the format of a frame tuple it is reversed because _tracemalloc returns frames sorted from most recent to oldest but the python api expects oldest to most recent get the traceback where the python object obj was allocated return a traceback instance return none if the tracemalloc module is not tracing memory allocations or did not trace the allocation of the object trace of a memory block trace is a tuple domain int size int traceback tuple see traceback constructor for the format of the traceback tuple traces is a tuple of trace tuples see trace constructor snapshot of traces of memory blocks allocated by python traces is a tuple of trace tuples see _traces constructor for the exact format write the snapshot into a file load a snapshot from a file create a new snapshot instance with a filtered traces sequence filters is a list of filter or domainfilter instances if filters is an empty list return a new snapshot instance with a copy of the traces key_type filename cumulative statistics key_type filename group statistics by key_type return a sorted list of statistic instances compute the differences with an old snapshot old_snapshot get statistics as a sorted list of statisticdiff instances grouped by group_by take a snapshot of traces of memory blocks allocated by python
from collections.abc import Sequence, Iterable
from functools import total_ordering
import fnmatch
import linecache
import os.path
import pickle


from _tracemalloc import *
from _tracemalloc import _get_object_traceback, _get_traces


def _format_size(size, sign):
    for unit in ('B', 'KiB', 'MiB', 'GiB', 'TiB'):
        if abs(size) < 100 and unit != 'B':
            
            if sign:
                return "%+.1f %s" % (size, unit)
            else:
                return "%.1f %s" % (size, unit)
        if abs(size) < 10 * 1024 or unit == 'TiB':
            
            if sign:
                return "%+.0f %s" % (size, unit)
            else:
                return "%.0f %s" % (size, unit)
        size /= 1024


class Statistic:
    

    __slots__ = ('traceback', 'size', 'count')

    def __init__(self, traceback, size, count):
        self.traceback = traceback
        self.size = size
        self.count = count

    def __hash__(self):
        return hash((self.traceback, self.size, self.count))

    def __eq__(self, other):
        if not isinstance(other, Statistic):
            return NotImplemented
        return (self.traceback == other.traceback
                and self.size == other.size
                and self.count == other.count)

    def __str__(self):
        text = ("%s: size=%s, count=%i"
                 % (self.traceback,
                    _format_size(self.size, False),
                    self.count))
        if self.count:
            average = self.size / self.count
            text += ", average=%s" % _format_size(average, False)
        return text

    def __repr__(self):
        return ('<Statistic traceback=%r size=%i count=%i>'
                % (self.traceback, self.size, self.count))

    def _sort_key(self):
        return (self.size, self.count, self.traceback)


class StatisticDiff:
    
    __slots__ = ('traceback', 'size', 'size_diff', 'count', 'count_diff')

    def __init__(self, traceback, size, size_diff, count, count_diff):
        self.traceback = traceback
        self.size = size
        self.size_diff = size_diff
        self.count = count
        self.count_diff = count_diff

    def __hash__(self):
        return hash((self.traceback, self.size, self.size_diff,
                     self.count, self.count_diff))

    def __eq__(self, other):
        if not isinstance(other, StatisticDiff):
            return NotImplemented
        return (self.traceback == other.traceback
                and self.size == other.size
                and self.size_diff == other.size_diff
                and self.count == other.count
                and self.count_diff == other.count_diff)

    def __str__(self):
        text = ("%s: size=%s (%s), count=%i (%+i)"
                % (self.traceback,
                   _format_size(self.size, False),
                   _format_size(self.size_diff, True),
                   self.count,
                   self.count_diff))
        if self.count:
            average = self.size / self.count
            text += ", average=%s" % _format_size(average, False)
        return text

    def __repr__(self):
        return ('<StatisticDiff traceback=%r size=%i (%+i) count=%i (%+i)>'
                % (self.traceback, self.size, self.size_diff,
                   self.count, self.count_diff))

    def _sort_key(self):
        return (abs(self.size_diff), self.size,
                abs(self.count_diff), self.count,
                self.traceback)


def _compare_grouped_stats(old_group, new_group):
    statistics = []
    for traceback, stat in new_group.items():
        previous = old_group.pop(traceback, None)
        if previous is not None:
            stat = StatisticDiff(traceback,
                                 stat.size, stat.size - previous.size,
                                 stat.count, stat.count - previous.count)
        else:
            stat = StatisticDiff(traceback,
                                 stat.size, stat.size,
                                 stat.count, stat.count)
        statistics.append(stat)

    for traceback, stat in old_group.items():
        stat = StatisticDiff(traceback, 0, -stat.size, 0, -stat.count)
        statistics.append(stat)
    return statistics


@total_ordering
class Frame:
    
    __slots__ = ("_frame",)

    def __init__(self, frame):
        
        self._frame = frame

    @property
    def filename(self):
        return self._frame[0]

    @property
    def lineno(self):
        return self._frame[1]

    def __eq__(self, other):
        if not isinstance(other, Frame):
            return NotImplemented
        return (self._frame == other._frame)

    def __lt__(self, other):
        if not isinstance(other, Frame):
            return NotImplemented
        return (self._frame < other._frame)

    def __hash__(self):
        return hash(self._frame)

    def __str__(self):
        return "%s:%s" % (self.filename, self.lineno)

    def __repr__(self):
        return "<Frame filename=%r lineno=%r>" % (self.filename, self.lineno)


@total_ordering
class Traceback(Sequence):
    
    __slots__ = ("_frames", '_total_nframe')

    def __init__(self, frames, total_nframe=None):
        Sequence.__init__(self)
        
        
        
        
        self._frames = tuple(reversed(frames))
        self._total_nframe = total_nframe

    @property
    def total_nframe(self):
        return self._total_nframe

    def __len__(self):
        return len(self._frames)

    def __getitem__(self, index):
        if isinstance(index, slice):
            return tuple(Frame(trace) for trace in self._frames[index])
        else:
            return Frame(self._frames[index])

    def __contains__(self, frame):
        return frame._frame in self._frames

    def __hash__(self):
        return hash(self._frames)

    def __eq__(self, other):
        if not isinstance(other, Traceback):
            return NotImplemented
        return (self._frames == other._frames)

    def __lt__(self, other):
        if not isinstance(other, Traceback):
            return NotImplemented
        return (self._frames < other._frames)

    def __str__(self):
        return str(self[0])

    def __repr__(self):
        s = f"<Traceback {tuple(self)}"
        if self._total_nframe is None:
            s += ">"
        else:
            s += f" total_nframe={self.total_nframe}>"
        return s

    def format(self, limit=None, most_recent_first=False):
        lines = []
        if limit is not None:
            if limit > 0:
                frame_slice = self[-limit:]
            else:
                frame_slice = self[:limit]
        else:
            frame_slice = self

        if most_recent_first:
            frame_slice = reversed(frame_slice)
        for frame in frame_slice:
            lines.append('  File "%s", line %s'
                         % (frame.filename, frame.lineno))
            line = linecache.getline(frame.filename, frame.lineno).strip()
            if line:
                lines.append('    %s' % line)
        return lines


def get_object_traceback(obj):
    
    frames = _get_object_traceback(obj)
    if frames is not None:
        return Traceback(frames)
    else:
        return None


class Trace:
    
    __slots__ = ("_trace",)

    def __init__(self, trace):
        
        
        self._trace = trace

    @property
    def domain(self):
        return self._trace[0]

    @property
    def size(self):
        return self._trace[1]

    @property
    def traceback(self):
        return Traceback(*self._trace[2:])

    def __eq__(self, other):
        if not isinstance(other, Trace):
            return NotImplemented
        return (self._trace == other._trace)

    def __hash__(self):
        return hash(self._trace)

    def __str__(self):
        return "%s: %s" % (self.traceback, _format_size(self.size, False))

    def __repr__(self):
        return ("<Trace domain=%s size=%s, traceback=%r>"
                % (self.domain, _format_size(self.size, False), self.traceback))


class _Traces(Sequence):
    def __init__(self, traces):
        Sequence.__init__(self)
        
        self._traces = traces

    def __len__(self):
        return len(self._traces)

    def __getitem__(self, index):
        if isinstance(index, slice):
            return tuple(Trace(trace) for trace in self._traces[index])
        else:
            return Trace(self._traces[index])

    def __contains__(self, trace):
        return trace._trace in self._traces

    def __eq__(self, other):
        if not isinstance(other, _Traces):
            return NotImplemented
        return (self._traces == other._traces)

    def __repr__(self):
        return "<Traces len=%s>" % len(self)


def _normalize_filename(filename):
    filename = os.path.normcase(filename)
    if filename.endswith('.pyc'):
        filename = filename[:-1]
    return filename


class BaseFilter:
    def __init__(self, inclusive):
        self.inclusive = inclusive

    def _match(self, trace):
        raise NotImplementedError


class Filter(BaseFilter):
    def __init__(self, inclusive, filename_pattern,
                 lineno=None, all_frames=False, domain=None):
        super().__init__(inclusive)
        self.inclusive = inclusive
        self._filename_pattern = _normalize_filename(filename_pattern)
        self.lineno = lineno
        self.all_frames = all_frames
        self.domain = domain

    @property
    def filename_pattern(self):
        return self._filename_pattern

    def _match_frame_impl(self, filename, lineno):
        filename = _normalize_filename(filename)
        if not fnmatch.fnmatch(filename, self._filename_pattern):
            return False
        if self.lineno is None:
            return True
        else:
            return (lineno == self.lineno)

    def _match_frame(self, filename, lineno):
        return self._match_frame_impl(filename, lineno) ^ (not self.inclusive)

    def _match_traceback(self, traceback):
        if self.all_frames:
            if any(self._match_frame_impl(filename, lineno)
                   for filename, lineno in traceback):
                return self.inclusive
            else:
                return (not self.inclusive)
        else:
            filename, lineno = traceback[0]
            return self._match_frame(filename, lineno)

    def _match(self, trace):
        domain, size, traceback, total_nframe = trace
        res = self._match_traceback(traceback)
        if self.domain is not None:
            if self.inclusive:
                return res and (domain == self.domain)
            else:
                return res or (domain != self.domain)
        return res


class DomainFilter(BaseFilter):
    def __init__(self, inclusive, domain):
        super().__init__(inclusive)
        self._domain = domain

    @property
    def domain(self):
        return self._domain

    def _match(self, trace):
        domain, size, traceback, total_nframe = trace
        return (domain == self.domain) ^ (not self.inclusive)


class Snapshot:
    

    def __init__(self, traces, traceback_limit):
        
        
        self.traces = _Traces(traces)
        self.traceback_limit = traceback_limit

    def dump(self, filename):
        
        with open(filename, "wb") as fp:
            pickle.dump(self, fp, pickle.HIGHEST_PROTOCOL)

    @staticmethod
    def load(filename):
        
        with open(filename, "rb") as fp:
            return pickle.load(fp)

    def _filter_trace(self, include_filters, exclude_filters, trace):
        if include_filters:
            if not any(trace_filter._match(trace)
                       for trace_filter in include_filters):
                return False
        if exclude_filters:
            if any(not trace_filter._match(trace)
                   for trace_filter in exclude_filters):
                return False
        return True

    def filter_traces(self, filters):
        
        if not isinstance(filters, Iterable):
            raise TypeError("filters must be a list of filters, not %s"
                            % type(filters).__name__)
        if filters:
            include_filters = []
            exclude_filters = []
            for trace_filter in filters:
                if trace_filter.inclusive:
                    include_filters.append(trace_filter)
                else:
                    exclude_filters.append(trace_filter)
            new_traces = [trace for trace in self.traces._traces
                          if self._filter_trace(include_filters,
                                                exclude_filters,
                                                trace)]
        else:
            new_traces = self.traces._traces.copy()
        return Snapshot(new_traces, self.traceback_limit)

    def _group_by(self, key_type, cumulative):
        if key_type not in ('traceback', 'filename', 'lineno'):
            raise ValueError("unknown key_type: %r" % (key_type,))
        if cumulative and key_type not in ('lineno', 'filename'):
            raise ValueError("cumulative mode cannot by used "
                             "with key type %r" % key_type)

        stats = {}
        tracebacks = {}
        if not cumulative:
            for trace in self.traces._traces:
                domain, size, trace_traceback, total_nframe = trace
                try:
                    traceback = tracebacks[trace_traceback]
                except KeyError:
                    if key_type == 'traceback':
                        frames = trace_traceback
                    elif key_type == 'lineno':
                        frames = trace_traceback[:1]
                    else: 
                        frames = ((trace_traceback[0][0], 0),)
                    traceback = Traceback(frames)
                    tracebacks[trace_traceback] = traceback
                try:
                    stat = stats[traceback]
                    stat.size += size
                    stat.count += 1
                except KeyError:
                    stats[traceback] = Statistic(traceback, size, 1)
        else:
            
            for trace in self.traces._traces:
                domain, size, trace_traceback, total_nframe = trace
                for frame in trace_traceback:
                    try:
                        traceback = tracebacks[frame]
                    except KeyError:
                        if key_type == 'lineno':
                            frames = (frame,)
                        else: 
                            frames = ((frame[0], 0),)
                        traceback = Traceback(frames)
                        tracebacks[frame] = traceback
                    try:
                        stat = stats[traceback]
                        stat.size += size
                        stat.count += 1
                    except KeyError:
                        stats[traceback] = Statistic(traceback, size, 1)
        return stats

    def statistics(self, key_type, cumulative=False):
        
        grouped = self._group_by(key_type, cumulative)
        statistics = list(grouped.values())
        statistics.sort(reverse=True, key=Statistic._sort_key)
        return statistics

    def compare_to(self, old_snapshot, key_type, cumulative=False):
        
        new_group = self._group_by(key_type, cumulative)
        old_group = old_snapshot._group_by(key_type, cumulative)
        statistics = _compare_grouped_stats(old_group, new_group)
        statistics.sort(reverse=True, key=StatisticDiff._sort_key)
        return statistics


def take_snapshot():
    
    if not is_tracing():
        raise RuntimeError("the tracemalloc module must be tracing memory "
                           "allocations to take a snapshot")
    traces = _get_traces()
    traceback_limit = get_traceback_limit()
    return Snapshot(traces, traceback_limit)