| Key | Value |
|---|---|
| FileName | ./usr/lib/hpc/gnu11/python-numpy/1.21.4/lib/python3.9/site-packages/numpy/random/bit_generator.cpython-39-arm-linux-gnueabihf.so |
| FileSize | 189980 |
| MD5 | 921CE871E7626DADAA6FCAC1F9AF3F5F |
| SHA-1 | 002CADDC98D1DB1891DCEFEFBB03144472E13FED |
| SHA-256 | D12AC2854B56CA613795780C25E98569EDD20E4C91F50F168DB4A12F2F3964D3 |
| SSDEEP | 3072:Oiz/WySNmCJI9qDkfBFoDjVxpU2+WarahXSEuN2+WarahNrLcEs:vzuvmAIFBF+m2+WarahXSEuN2+Warah1 |
| TLSH | T130040945FA53DE72C2D03BB23399130673224565C3DDA29F6D2C82A02FA3A664E3FD55 |
| hashlookup:parent-total | 2 |
| hashlookup:trust | 60 |
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 |
|---|---|
| MD5 | BA4ED6BF24A44A20DB999BBFD364D091 |
| PackageArch | armv7hl |
| PackageDescription | NumPy 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. |
| PackageName | python39-numpy_1_21_4-gnu-hpc |
| PackageRelease | 109.5 |
| PackageVersion | 1.21.4 |
| SHA-1 | 0C7C315F312C9E81F368537D0A739734BDCFBE1B |
| SHA-256 | 45AC764E6A4F867242790467924B5271C09AD9FA38A822822BCE6CE08A244FEF |
| Key | Value |
|---|---|
| MD5 | AD09A641883AE4D56CBC734378FE90D5 |
| PackageArch | armv7hl |
| PackageDescription | NumPy 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. |
| PackageName | python39-numpy |
| PackageRelease | 109.6 |
| PackageVersion | 1.21.4 |
| SHA-1 | 4C73D724DE6FAB41F668E9118D6E8A1E2D11991C |
| SHA-256 | F29072E324B271FBB9A7737780C64D27FB788497CA8343F9878A345CF9E98DA6 |