![]() run_doctest ( pickletools ) File "/usr/lib/python3.4/test/regrtest.py", line 1276 test_runner () File "/usr/lib/python3.4/test/regrtest.py", line 976 display_failure = not verbose ) File "/usr/lib/python3.4/test/regrtest.py", line 761 match_tests = ns. Get the traceback of a memory block ¶Ĭode to display the traceback of the biggest memory block:ĩ03 memory blocks : 870.1 KiB File "", line 716 File "", line 1036 File "", line 934 File "", line 1068 File "", line 619 File "", line 1581 File "", line 1614 File "/usr/lib/python3.4/doctest.py", line 101 import pdb File "", line 284 File "", line 938 File "", line 1068 File "", line 619 File "", line 1581 File "", line 1614 File "/usr/lib/python3.4/test/support/_init_.py", line 1728 import doctest File "/usr/lib/python3.4/test/test_pickletools.py", line 21 support. Snapshot.load() method reload the snapshot. The Snapshot.dump() method to analyze the snapshot offline. If the system has little free memory, snapshots can be written on disk using Module has cached 940 KiB of Python source code to format tracebacks, all Tests, when the previous snapshot was taken. We can see that Python has loaded 8173 KiB of module data (bytecode andĬonstants), and that this is 4428 KiB more than had been loaded before the Take two snapshots and display the differences: See Snapshot.statistics() for more options. Modules and that the collections module allocated 244 KiB to build We can see that Python loaded 4855 KiB data (bytecode and constants) from py : 402 : size = 154 KiB, count = 378, average = 416 B / usr / lib / python3. py : 381 : size = 185 KiB, count = 779, average = 243 B / usr / lib / python3. Examples ¶ Display the top 10 ¶ĭisplay the 10 files allocating the most memory: ![]() PYTHONTRACEMALLOC environment variable to 25, or use the The tracemalloc.start() function can be called at runtime toīy default, a trace of an allocated memory block only stores the most recentįrame (1 frame). ![]() Variable to 1, or by using -X tracemalloc command line To trace most memory blocks allocated by Python, the module should be startedĪs early as possible by setting the PYTHONTRACEMALLOC environment Total size, number and average size of allocated memory blocksĬompute the differences between two snapshots to detect memory leaks Statistics on allocated memory blocks per filename and per line number: The tracemalloc module is a debug tool to trace memory blocks allocated by
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