Result for 00D5DBA5455A9834EE1BAC04D12B667D057AB700

Query result

Key Value
FileName./usr/lib64/python3.3/site-packages/scipy/ndimage/tests/__pycache__/test_ndimage.cpython-33.pyo
FileSize242065
MD5C0B1BEE1F99827FFE73879C35B0F843D
SHA-100D5DBA5455A9834EE1BAC04D12B667D057AB700
SHA-256A82B95B42F8126FE62791F759C21363A10B016F61AF800D98726434317341719
SSDEEP6144:Qzle1cCFLRExvh8f1vf7v0qrRQurnb4780HuVp:Q6csrnbxp
TLSHT139340F929BFD8DDBD0B042F5F477070AD932F8929C64AB050666E47C37C87AA207A7C4
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
MD51ABF802DE2FB53453614D07BD0CDD0E5
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
PackageNamepython3-scipy
PackageRelease1.fc18
PackageVersion0.11.0
SHA-1661113C09EC7891E97A8F539582DAF35E53D8565
SHA-25695D00D9B5FAF3A392544BB72B9ADD4E93BB116DC659D356A93479B008A0A3D8D