Result for 000A75ADDBCBBACD12403D90529EDF002C747780

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/scipy/integrate/_ivp/tests/__pycache__/test_rk.cpython-39.opt-1.pyc
FileSize1853
MD57A0BFD0BD68305EBCFB396B9198F8DE6
SHA-1000A75ADDBCBBACD12403D90529EDF002C747780
SHA-25627654C7469BC16BEEA6A743E1D8C16A814930C279314DCF165CD58C1FF4DDF77
SSDEEP48:QBWID//6MStgoQAHecDt2HSoOjXtvq0lpwHU01k:KlD/3ol12yPRvLCU0u
TLSHT1243133D0A403DE6BFD25F6B8811E47213BF1D2B0A56921062518CEEE7DCB1AB0DFD259
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
MD565D508C2AF6435C7EC18FC796A560E1E
PackageArchaarch64
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
PackageNamepython3-scipy
PackageRelease1.fc34
PackageVersion1.6.2
SHA-10D69729A121DDD5EADAFE756A0F0A28EFFA977AC
SHA-256D63244DF032689CD8598E95A164B71EF7CA5C478C89E78725372AA20FEA66F38
Key Value
MD571B943AE055634E09E86904F9C0FCC57
PackageArchx86_64
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
PackageNamepython3-scipy
PackageRelease1.fc34
PackageVersion1.6.2
SHA-177B7D9E49B553439CEEC2C1C04AB6BA50D6FB7B3
SHA-2563F170CDB86C6F65FDF818A636FCB5D94F0C2AC0ECAA64EE60122B0E204CC1803