| Key | Value |
|---|---|
| FileName | ./usr/lib/hpc/gnu11/python-numpy/1.21.4/lib/python3.10/site-packages/numpy/f2py/__pycache__/diagnose.cpython-310.pyc |
| FileSize | 3807 |
| MD5 | C0459206C31F7429A1CCB2ACDBF34685 |
| SHA-1 | 0392573ED63ACF7F13842BCE9D4568FB67493B3B |
| SHA-256 | 2FE18FCBCD65556B5CF901F548E1A4C01603A7B2F2C53082C5FAE3CB68464390 |
| SSDEEP | 48:abzAH8I7s/lDKTqZqUEqFNqnITQEpqRqzBqZTXS8qk/ns85wjVpsKgMpMBXuBTRj:aes/1DTQsBm1/ns7/tL6arNun6ei |
| TLSH | T19B71641B62450E91A3E095F5278426624FF5B720D3DA11F3C56363158FE42CD1AAE39D |
| hashlookup:parent-total | 3 |
| hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | 3B15410CFFD3FDE4ACBC863911843526 |
| PackageArch | i586 |
| 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 | python310-numpy_1_21_4-gnu-hpc |
| PackageRelease | 109.5 |
| PackageVersion | 1.21.4 |
| SHA-1 | CDEAA1D05212C1ED373AF7C3FFACD1391670950D |
| SHA-256 | 6C9944F281F1A7165F4134254807B78001A88C1845D5B3D907581B5979BBC089 |
| Key | Value |
|---|---|
| MD5 | 1EDB3022C127E15EA42F6EB9A8211C13 |
| 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 | python310-numpy_1_21_4-gnu-hpc |
| PackageRelease | 109.5 |
| PackageVersion | 1.21.4 |
| SHA-1 | CC79D202DA734A8F928E7834C2E6FC2890B1D817 |
| SHA-256 | D633D2AD42D5EE5C394571034E7907A312CD21CD43479B0B96BA798829BC7DE5 |
| Key | Value |
|---|---|
| MD5 | 3D4A0D9D172FD8D862DACDB51FB5DD72 |
| PackageArch | i586 |
| 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. |
| PackageMaintainer | https://bugs.opensuse.org |
| PackageName | python310-numpy_1_21_4-gnu-hpc |
| PackageRelease | 2.2 |
| PackageVersion | 1.21.4 |
| SHA-1 | 163E5352FA454FAACA2D7340EEF1CCBFA1F81C5E |
| SHA-256 | F645EE34C8DC2CF42C78FDD4695A21031C933723B29E98B984BE8B31AF35F8D5 |