mirror of
https://github.com/python/cpython.git
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561 lines
18 KiB
Python
561 lines
18 KiB
Python
from collections.abc import Sequence, Iterable
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from functools import total_ordering
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import fnmatch
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import linecache
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import os.path
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import pickle
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# Import types and functions implemented in C
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from _tracemalloc import *
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from _tracemalloc import _get_object_traceback, _get_traces
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def _format_size(size, sign):
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for unit in ('B', 'KiB', 'MiB', 'GiB', 'TiB'):
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if abs(size) < 100 and unit != 'B':
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# 3 digits (xx.x UNIT)
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if sign:
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return "%+.1f %s" % (size, unit)
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else:
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return "%.1f %s" % (size, unit)
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if abs(size) < 10 * 1024 or unit == 'TiB':
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# 4 or 5 digits (xxxx UNIT)
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if sign:
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return "%+.0f %s" % (size, unit)
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else:
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return "%.0f %s" % (size, unit)
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size /= 1024
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class Statistic:
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"""
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Statistic difference on memory allocations between two Snapshot instance.
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"""
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__slots__ = ('traceback', 'size', 'count')
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def __init__(self, traceback, size, count):
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self.traceback = traceback
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self.size = size
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self.count = count
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def __hash__(self):
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return hash((self.traceback, self.size, self.count))
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def __eq__(self, other):
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if not isinstance(other, Statistic):
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return NotImplemented
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return (self.traceback == other.traceback
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and self.size == other.size
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and self.count == other.count)
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def __str__(self):
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text = ("%s: size=%s, count=%i"
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% (self.traceback,
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_format_size(self.size, False),
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self.count))
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if self.count:
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average = self.size / self.count
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text += ", average=%s" % _format_size(average, False)
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return text
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def __repr__(self):
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return ('<Statistic traceback=%r size=%i count=%i>'
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% (self.traceback, self.size, self.count))
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def _sort_key(self):
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return (self.size, self.count, self.traceback)
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class StatisticDiff:
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"""
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Statistic difference on memory allocations between an old and a new
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Snapshot instance.
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"""
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__slots__ = ('traceback', 'size', 'size_diff', 'count', 'count_diff')
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def __init__(self, traceback, size, size_diff, count, count_diff):
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self.traceback = traceback
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self.size = size
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self.size_diff = size_diff
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self.count = count
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self.count_diff = count_diff
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def __hash__(self):
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return hash((self.traceback, self.size, self.size_diff,
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self.count, self.count_diff))
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def __eq__(self, other):
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if not isinstance(other, StatisticDiff):
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return NotImplemented
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return (self.traceback == other.traceback
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and self.size == other.size
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and self.size_diff == other.size_diff
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and self.count == other.count
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and self.count_diff == other.count_diff)
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def __str__(self):
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text = ("%s: size=%s (%s), count=%i (%+i)"
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% (self.traceback,
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_format_size(self.size, False),
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_format_size(self.size_diff, True),
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self.count,
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self.count_diff))
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if self.count:
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average = self.size / self.count
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text += ", average=%s" % _format_size(average, False)
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return text
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def __repr__(self):
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return ('<StatisticDiff traceback=%r size=%i (%+i) count=%i (%+i)>'
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% (self.traceback, self.size, self.size_diff,
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self.count, self.count_diff))
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def _sort_key(self):
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return (abs(self.size_diff), self.size,
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abs(self.count_diff), self.count,
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self.traceback)
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def _compare_grouped_stats(old_group, new_group):
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statistics = []
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for traceback, stat in new_group.items():
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previous = old_group.pop(traceback, None)
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if previous is not None:
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stat = StatisticDiff(traceback,
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stat.size, stat.size - previous.size,
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stat.count, stat.count - previous.count)
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else:
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stat = StatisticDiff(traceback,
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stat.size, stat.size,
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stat.count, stat.count)
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statistics.append(stat)
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for traceback, stat in old_group.items():
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stat = StatisticDiff(traceback, 0, -stat.size, 0, -stat.count)
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statistics.append(stat)
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return statistics
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@total_ordering
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class Frame:
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"""
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Frame of a traceback.
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"""
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__slots__ = ("_frame",)
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def __init__(self, frame):
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# frame is a tuple: (filename: str, lineno: int)
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self._frame = frame
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@property
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def filename(self):
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return self._frame[0]
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@property
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def lineno(self):
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return self._frame[1]
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def __eq__(self, other):
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if not isinstance(other, Frame):
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return NotImplemented
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return (self._frame == other._frame)
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def __lt__(self, other):
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if not isinstance(other, Frame):
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return NotImplemented
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return (self._frame < other._frame)
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def __hash__(self):
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return hash(self._frame)
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def __str__(self):
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return "%s:%s" % (self.filename, self.lineno)
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def __repr__(self):
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return "<Frame filename=%r lineno=%r>" % (self.filename, self.lineno)
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@total_ordering
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class Traceback(Sequence):
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"""
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Sequence of Frame instances sorted from the oldest frame
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to the most recent frame.
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"""
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__slots__ = ("_frames", '_total_nframe')
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def __init__(self, frames, total_nframe=None):
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Sequence.__init__(self)
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# frames is a tuple of frame tuples: see Frame constructor for the
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# format of a frame tuple; it is reversed, because _tracemalloc
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# returns frames sorted from most recent to oldest, but the
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# Python API expects oldest to most recent
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self._frames = tuple(reversed(frames))
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self._total_nframe = total_nframe
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@property
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def total_nframe(self):
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return self._total_nframe
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def __len__(self):
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return len(self._frames)
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def __getitem__(self, index):
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if isinstance(index, slice):
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return tuple(Frame(trace) for trace in self._frames[index])
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else:
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return Frame(self._frames[index])
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def __contains__(self, frame):
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return frame._frame in self._frames
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def __hash__(self):
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return hash(self._frames)
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def __eq__(self, other):
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if not isinstance(other, Traceback):
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return NotImplemented
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return (self._frames == other._frames)
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def __lt__(self, other):
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if not isinstance(other, Traceback):
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return NotImplemented
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return (self._frames < other._frames)
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def __str__(self):
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return str(self[0])
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def __repr__(self):
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s = f"<Traceback {tuple(self)}"
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if self._total_nframe is None:
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s += ">"
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else:
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s += f" total_nframe={self.total_nframe}>"
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return s
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def format(self, limit=None, most_recent_first=False):
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lines = []
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if limit is not None:
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if limit > 0:
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frame_slice = self[-limit:]
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else:
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frame_slice = self[:limit]
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else:
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frame_slice = self
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if most_recent_first:
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frame_slice = reversed(frame_slice)
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for frame in frame_slice:
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lines.append(' File "%s", line %s'
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% (frame.filename, frame.lineno))
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line = linecache.getline(frame.filename, frame.lineno).strip()
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if line:
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lines.append(' %s' % line)
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return lines
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def get_object_traceback(obj):
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"""
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Get the traceback where the Python object *obj* was allocated.
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Return a Traceback instance.
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Return None if the tracemalloc module is not tracing memory allocations or
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did not trace the allocation of the object.
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"""
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frames = _get_object_traceback(obj)
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if frames is not None:
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return Traceback(frames)
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else:
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return None
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class Trace:
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"""
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Trace of a memory block.
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"""
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__slots__ = ("_trace",)
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def __init__(self, trace):
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# trace is a tuple: (domain: int, size: int, traceback: tuple).
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# See Traceback constructor for the format of the traceback tuple.
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self._trace = trace
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@property
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def domain(self):
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return self._trace[0]
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@property
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def size(self):
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return self._trace[1]
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@property
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def traceback(self):
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return Traceback(*self._trace[2:])
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def __eq__(self, other):
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if not isinstance(other, Trace):
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return NotImplemented
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return (self._trace == other._trace)
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def __hash__(self):
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return hash(self._trace)
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def __str__(self):
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return "%s: %s" % (self.traceback, _format_size(self.size, False))
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def __repr__(self):
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return ("<Trace domain=%s size=%s, traceback=%r>"
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% (self.domain, _format_size(self.size, False), self.traceback))
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class _Traces(Sequence):
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def __init__(self, traces):
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Sequence.__init__(self)
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# traces is a tuple of trace tuples: see Trace constructor
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self._traces = traces
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def __len__(self):
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return len(self._traces)
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def __getitem__(self, index):
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if isinstance(index, slice):
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return tuple(Trace(trace) for trace in self._traces[index])
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else:
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return Trace(self._traces[index])
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def __contains__(self, trace):
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return trace._trace in self._traces
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def __eq__(self, other):
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if not isinstance(other, _Traces):
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return NotImplemented
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return (self._traces == other._traces)
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def __repr__(self):
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return "<Traces len=%s>" % len(self)
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def _normalize_filename(filename):
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filename = os.path.normcase(filename)
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if filename.endswith('.pyc'):
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filename = filename[:-1]
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return filename
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class BaseFilter:
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def __init__(self, inclusive):
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self.inclusive = inclusive
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def _match(self, trace):
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raise NotImplementedError
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class Filter(BaseFilter):
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def __init__(self, inclusive, filename_pattern,
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lineno=None, all_frames=False, domain=None):
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super().__init__(inclusive)
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self.inclusive = inclusive
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self._filename_pattern = _normalize_filename(filename_pattern)
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self.lineno = lineno
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self.all_frames = all_frames
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self.domain = domain
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@property
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def filename_pattern(self):
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return self._filename_pattern
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def _match_frame_impl(self, filename, lineno):
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filename = _normalize_filename(filename)
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if not fnmatch.fnmatch(filename, self._filename_pattern):
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return False
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if self.lineno is None:
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return True
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else:
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return (lineno == self.lineno)
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def _match_frame(self, filename, lineno):
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return self._match_frame_impl(filename, lineno) ^ (not self.inclusive)
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def _match_traceback(self, traceback):
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if self.all_frames:
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if any(self._match_frame_impl(filename, lineno)
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for filename, lineno in traceback):
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return self.inclusive
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else:
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return (not self.inclusive)
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else:
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filename, lineno = traceback[0]
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return self._match_frame(filename, lineno)
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def _match(self, trace):
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domain, size, traceback, total_nframe = trace
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res = self._match_traceback(traceback)
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if self.domain is not None:
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if self.inclusive:
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return res and (domain == self.domain)
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else:
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return res or (domain != self.domain)
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return res
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class DomainFilter(BaseFilter):
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def __init__(self, inclusive, domain):
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super().__init__(inclusive)
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self._domain = domain
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@property
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def domain(self):
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return self._domain
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def _match(self, trace):
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domain, size, traceback, total_nframe = trace
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return (domain == self.domain) ^ (not self.inclusive)
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class Snapshot:
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"""
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Snapshot of traces of memory blocks allocated by Python.
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"""
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def __init__(self, traces, traceback_limit):
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# traces is a tuple of trace tuples: see _Traces constructor for
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# the exact format
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self.traces = _Traces(traces)
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self.traceback_limit = traceback_limit
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def dump(self, filename):
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"""
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Write the snapshot into a file.
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"""
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with open(filename, "wb") as fp:
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pickle.dump(self, fp, pickle.HIGHEST_PROTOCOL)
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@staticmethod
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def load(filename):
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"""
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Load a snapshot from a file.
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"""
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with open(filename, "rb") as fp:
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return pickle.load(fp)
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def _filter_trace(self, include_filters, exclude_filters, trace):
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if include_filters:
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if not any(trace_filter._match(trace)
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for trace_filter in include_filters):
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return False
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if exclude_filters:
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if any(not trace_filter._match(trace)
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for trace_filter in exclude_filters):
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return False
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return True
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def filter_traces(self, filters):
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"""
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Create a new Snapshot instance with a filtered traces sequence, filters
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is a list of Filter or DomainFilter instances. If filters is an empty
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list, return a new Snapshot instance with a copy of the traces.
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"""
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if not isinstance(filters, Iterable):
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raise TypeError("filters must be a list of filters, not %s"
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% type(filters).__name__)
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if filters:
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include_filters = []
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exclude_filters = []
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for trace_filter in filters:
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if trace_filter.inclusive:
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include_filters.append(trace_filter)
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else:
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exclude_filters.append(trace_filter)
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new_traces = [trace for trace in self.traces._traces
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if self._filter_trace(include_filters,
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exclude_filters,
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trace)]
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else:
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new_traces = self.traces._traces.copy()
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return Snapshot(new_traces, self.traceback_limit)
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def _group_by(self, key_type, cumulative):
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if key_type not in ('traceback', 'filename', 'lineno'):
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raise ValueError("unknown key_type: %r" % (key_type,))
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if cumulative and key_type not in ('lineno', 'filename'):
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raise ValueError("cumulative mode cannot by used "
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"with key type %r" % key_type)
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stats = {}
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tracebacks = {}
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if not cumulative:
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for trace in self.traces._traces:
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domain, size, trace_traceback, total_nframe = trace
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try:
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traceback = tracebacks[trace_traceback]
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except KeyError:
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if key_type == 'traceback':
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frames = trace_traceback
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elif key_type == 'lineno':
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frames = trace_traceback[:1]
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else: # key_type == 'filename':
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frames = ((trace_traceback[0][0], 0),)
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traceback = Traceback(frames)
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tracebacks[trace_traceback] = traceback
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try:
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stat = stats[traceback]
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stat.size += size
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stat.count += 1
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except KeyError:
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stats[traceback] = Statistic(traceback, size, 1)
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else:
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# cumulative statistics
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for trace in self.traces._traces:
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domain, size, trace_traceback, total_nframe = trace
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for frame in trace_traceback:
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try:
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traceback = tracebacks[frame]
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except KeyError:
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if key_type == 'lineno':
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frames = (frame,)
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else: # key_type == 'filename':
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frames = ((frame[0], 0),)
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traceback = Traceback(frames)
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tracebacks[frame] = traceback
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try:
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stat = stats[traceback]
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stat.size += size
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stat.count += 1
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except KeyError:
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stats[traceback] = Statistic(traceback, size, 1)
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return stats
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def statistics(self, key_type, cumulative=False):
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"""
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Group statistics by key_type. Return a sorted list of Statistic
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instances.
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"""
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grouped = self._group_by(key_type, cumulative)
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statistics = list(grouped.values())
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statistics.sort(reverse=True, key=Statistic._sort_key)
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return statistics
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def compare_to(self, old_snapshot, key_type, cumulative=False):
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"""
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Compute the differences with an old snapshot old_snapshot. Get
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statistics as a sorted list of StatisticDiff instances, grouped by
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group_by.
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"""
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new_group = self._group_by(key_type, cumulative)
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old_group = old_snapshot._group_by(key_type, cumulative)
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statistics = _compare_grouped_stats(old_group, new_group)
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statistics.sort(reverse=True, key=StatisticDiff._sort_key)
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return statistics
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def take_snapshot():
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"""
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Take a snapshot of traces of memory blocks allocated by Python.
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"""
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if not is_tracing():
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raise RuntimeError("the tracemalloc module must be tracing memory "
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"allocations to take a snapshot")
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traces = _get_traces()
|
|
traceback_limit = get_traceback_limit()
|
|
return Snapshot(traces, traceback_limit)
|