Result for 1CF41FA20A104C0DA8E082228D52C0661BD8F890

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/pympler/__pycache__/refbrowser.cpython-38.pyc
FileSize14406
MD5EC0F9C1EDAC18D3A29812EC91A09EF1E
SHA-11CF41FA20A104C0DA8E082228D52C0661BD8F890
SHA-256DE7FC7F12F7B5A9C66CBC1CF14C65B63521CE61876E580878EDAF20880A3AC4C
SSDEEP384:8vdZNSuPecanhkwhaTEeuYRxI+sNBXdFZ5Mq4ZcfIwjEEEAehW8T11U1g//j10I2:IdSCecYhkwhaTEbYXI+sNBXdFZ5x4+fh
TLSHT1CE52C5C18D4ABB3AFC79F9B9611F036AB31A817B127C6161301EC17A2F075984DF62D9
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5E8A857887CC4BD2927F39B1491BAF90D
PackageArchnoarch
PackageDescription Pympler is a development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application. By pympling a Python application, detailed insight in the size and the lifetime of Python objects can be obtained. Undesirable or unexpected runtime behavior like memory bloat and other “pymples” can easily be identified. Pympler integrates three previously separate modules into a single, comprehensive profiling tool. The asizeof module provides basic size information for one or several Python objects, module muppy is used for on-line monitoring of a Python application and module Class Tracker provides off-line analysis of the lifetime of selected Python objects.
PackageMaintainerFedora Project
PackageNamepython3-Pympler
PackageRelease2.fc32
PackageVersion0.8
SHA-10EE42D517BAD1B883A11F5C82ED8700C0B6F7BE3
SHA-256BEB4A097BAFED1B3EAA4BDF3891D07119A4EF37EB82AB4730933F9429E28D9D6