add ydb deps

1 files changed, 560 insertions, 0 deletions

diff --git a/contrib/tools/python3/src/Lib/tracemalloc.py b/contrib/tools/python3/src/Lib/tracemalloc.py
new file mode 100644
index 0000000000..cec99c5970
--- /dev/null
+++ b/contrib/tools/python3/src/Lib/tracemalloc.py
@@ -0,0 +1,560 @@
+from collections.abc import Sequence, Iterable
+from functools import total_ordering
+import fnmatch
+import linecache
+import os.path
+import pickle
+
+# Import types and functions implemented in C
+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':
+            # 3 digits (xx.x UNIT)
+            if sign:
+                return "%+.1f %s" % (size, unit)
+            else:
+                return "%.1f %s" % (size, unit)
+        if abs(size) < 10 * 1024 or unit == 'TiB':
+            # 4 or 5 digits (xxxx UNIT)
+            if sign:
+                return "%+.0f %s" % (size, unit)
+            else:
+                return "%.0f %s" % (size, unit)
+        size /= 1024
+
+
+class Statistic:
+    """
+    Statistic difference on memory allocations between two Snapshot instance.
+    """
+
+    __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:
+    """
+    Statistic difference on memory allocations between an old and a new
+    Snapshot instance.
+    """
+    __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:
+    """
+    Frame of a traceback.
+    """
+    __slots__ = ("_frame",)
+
+    def __init__(self, frame):
+        # frame is a tuple: (filename: str, lineno: int)
+        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):
+    """
+    Sequence of Frame instances sorted from the oldest frame
+    to the most recent frame.
+    """
+    __slots__ = ("_frames", '_total_nframe')
+
+    def __init__(self, frames, total_nframe=None):
+        Sequence.__init__(self)
+        # 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
+        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):
+    """
+    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.
+    """
+    frames = _get_object_traceback(obj)
+    if frames is not None:
+        return Traceback(frames)
+    else:
+        return None
+
+
+class Trace:
+    """
+    Trace of a memory block.
+    """
+    __slots__ = ("_trace",)
+
+    def __init__(self, trace):
+        # trace is a tuple: (domain: int, size: int, traceback: tuple).
+        # See Traceback constructor for the format of the traceback tuple.
+        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)
+        # traces is a tuple of trace tuples: see Trace constructor
+        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:
+    """
+    Snapshot of traces of memory blocks allocated by Python.
+    """
+
+    def __init__(self, traces, traceback_limit):
+        # traces is a tuple of trace tuples: see _Traces constructor for
+        # the exact format
+        self.traces = _Traces(traces)
+        self.traceback_limit = traceback_limit
+
+    def dump(self, filename):
+        """
+        Write the snapshot into a file.
+        """
+        with open(filename, "wb") as fp:
+            pickle.dump(self, fp, pickle.HIGHEST_PROTOCOL)
+
+    @staticmethod
+    def load(filename):
+        """
+        Load a snapshot from a file.
+        """
+        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):
+        """
+        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.
+        """
+        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: # key_type == 'filename':
+                        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:
+            # cumulative statistics
+            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: # key_type == 'filename':
+                            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):
+        """
+        Group statistics by key_type. Return a sorted list of Statistic
+        instances.
+        """
+        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):
+        """
+        Compute the differences with an old snapshot old_snapshot. Get
+        statistics as a sorted list of StatisticDiff instances, grouped by
+        group_by.
+        """
+        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():
+    """
+    Take a snapshot of traces of memory blocks allocated by Python.
+    """
+    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)