Result for 00C6D056C589A29D98E1DE3BD00EEC8A168505A4

Query result

Key Value
FileName./usr/lib/python3/dist-packages/silx/math/fit/filters.cpython-37m-x86_64-linux-gnu.so
FileSize249888
MD5DDEFA95E34C627D03B4591AB75A1B1C4
SHA-100C6D056C589A29D98E1DE3BD00EEC8A168505A4
SHA-256E9A4F06651894F8C3E75037435376BE1E8BFC10E76A079C47E5BFDF60C7E334C
SSDEEP3072:to1q/GjIf5VQW6a0s6DNnHW1JznhSJlb+clf3rO2WL6QXO/qPwAp4FaJapJOtsKv:+IBCW6asvJtO2WL9XO/qPwApVYJOts
TLSHT1A0342A1A62760CBCDD7AD4B08EA395732D31F8544214BBB736C48D301FC3E6567ACAA6
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
FileSize2184176
MD5B9A892CBB3E77F7237706995B863B611
PackageDescriptionToolbox for X-Ray data analysis - Python3 The silx project aims at providing a collection of Python packages to support the development of data assessment, reduction and analysis applications at synchrotron radiation facilities. It aims at providing reading/writing different file formats, data reduction routines and a set of Qt widgets to browse and visualize data. . The current version provides : . * reading HDF5 file format (with support of SPEC file format) * histogramming * fitting * 1D and 2D visualization using multiple backends (matplotlib or OpenGL) * image plot widget with a set of associated tools (See changelog file). * Unified browser for HDF5, SPEC and image file formats supporting inspection and visualization of n-dimensional datasets. * Unified viewer (silx view filename) for HDF5, SPEC and image file formats * OpenGL-based widget to display 3D scalar field with isosurface and cutting plane. . This is the Python 3 version of the package.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-silx
PackageSectionpython
PackageVersion0.11.0+dfsg-1~bpo10+1
SHA-17A1E37AB283CD78F6AF5523F0590764901CD3A12
SHA-2566A4B70745EFFFDE0EA9F17F1D8B2D3D661F1E89AEF3DFA87B77AB542DBB05C8E