Result for 9A41BEA7A9076B55F6483C2B836188A3C4E50883

Query result

Key Value
FileName./usr/lib/python3/dist-packages/openslide/_convert.cpython-39-x86_64-linux-gnu.so
FileSize14392
MD5E5388AF6EADB9399CE0AF5F46CD59809
SHA-19A41BEA7A9076B55F6483C2B836188A3C4E50883
SHA-256FF3F9D0DA9699AAE2064D0DBFBBA4A608CF7B20C98F367490C2BB8961E5479C6
SSDEEP48:R1EA4Z6BWBISCxukm7sUmbQNwLeWO7Wu8ad8bLJuP+i0ejd1bEOTipTY:R1EkBWBCuT7sU9OSdP8bLMP+iV50pT
TLSHT1DB52410AEB60CD7FD5BC1278849B4A743BF0A85513690333AA4466362CD37A4EB934DA
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
FileSize18264
MD5D915DB9808D40B39C3A78AFDE996C95D
PackageDescriptionPython 3 wrapper for reading whole slide image files OpenSlide is a C library that provides a simple interface to read whole-slide images also known as virtual slides. . Whole-slide images, also known as virtual slides, are large, high resolution images used in digital pathology. Reading these images using standard image tools or libraries is a challenge because these tools are typically designed for images that can comfortably be uncompressed into RAM or a swap file. Whole-slide images routinely exceed RAM sizes, often occupying tens of gigabytes when uncompressed. Additionally, whole-slide images are typically multi-resolution, and only a small amount of image data might be needed at a particular resolution. . This library currently supports: - Aperio (.svs, .tif) - Hamamatsu (.vms, .vmu, .ndpi) - Leica (.scn) - MIRAX (.mrxs) - Sakura (.svslide) - Trestle (.tif) - Generic tiled TIFF (.tif) . This package contains the Python 3 module needed to run OpenSlide applications.
PackageMaintainerDebian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
PackageNamepython3-openslide
PackageSectionpython
PackageVersion1.1.2-1+b2
SHA-15AEF3E17CBA66B60E793C0A6EFC0BBEFA631D0B0
SHA-256D17EC5686C88D3BA8AFB09290816C7A2CE360AF49783C46C32DE6E0007AD1D5D