Result for 008873F7ED7132470E737A128A661967BFFF5AA2

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/numpy/fft/fftpack_lite.cpython-36m-x86_64-linux-gnu.so
FileSize42848
MD5A0F1667C08EF48B6E4228FCB5BF26DE6
SHA-1008873F7ED7132470E737A128A661967BFFF5AA2
SHA-25688D8D4A7AFFECBA2DDC9E3317393B42124F9E2CF880F2C9D62327150D0569C53
SSDEEP768:9C9S/fZbUcmg53/rLOFArmTBhhn0q3Cycvpkn1:9C8XZyg53/riFArId0q3+pkn
TLSHT1EA13398A75E24DBDD4BE8630C777B31AB5F030A196605B3B27029C34193AE021DEB75B
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
MD5BE514317F2A02F50E4378D97E5E65D0F
PackageArchx86_64
PackageDescriptionNumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation.
PackageNamepython3-numpy
PackageReleaselp150.3.1
PackageVersion1.14.5
SHA-1138F107458C662136C4ADAE511787300B3FEE3C1
SHA-256864436C2611CB5D6852888E566AE1CE4AAD9B83F6F7A3E73FD21FF6CE34E9573