Result for 007F9C72A89D999090D093A505ECA081E6FCC535

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/scipy/spatial/kdtree.pyo
FileSize25153
MD54C4DC3E96B02C46C6BE6136332471652
SHA-1007F9C72A89D999090D093A505ECA081E6FCC535
SHA-2564E6042D85D20821FA731824060302BABFB77267884B1C24E1A79400A6AC05930
SSDEEP768:elpZlS9p9zCzYuGDxr7KZxiQmTBxknqol:elHlSf9zCzYuCrmSQm1x+q6
TLSHT154B27191B3D14A27C4A015716AF02246CEA6F4B792956B4172FCE4BD3F49778CA3E3C4
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD599DD80296EFEE14A4A1FE7D7185426BF
PackageArchsparc64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
PackageMaintainerFedora Project
PackageNamescipy
PackageRelease2.fc15
PackageVersion0.7.2
SHA-19E775D7A2E095CA84394EEBD28DE40DC69AC1298
SHA-25607A14B7B6528E22FEED918B49ECC2C4624916846B6AA8AC892E30E0CD442C517
Key Value
MD5A11AD0977B99014A8E9EF8A1D87AD3C5
PackageArchppc64
PackageDescriptionScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
PackageMaintainerKoji
PackageNamescipy
PackageRelease3.fc15
PackageVersion0.7.2
SHA-19D933E9258A57F15CA87CECC3E53E68C07F7AE8C
SHA-256DF935AB13C26526BD6837C3382BF730290D6BA71D9824A6348DC6722F4507D4A