Result for 002643BBE48AF9E4BE6A571B26136E853D269391

Query result

Key Value
FileName./usr/lib64/python3.7/site-packages/numpy/linalg/__pycache__/__init__.cpython-37.pyc
FileSize2464
MD50B2E5C0132AC280F08236744AF46F479
SHA-1002643BBE48AF9E4BE6A571B26136E853D269391
SHA-2565486B3F7C9E85F1E05B6501457D962D2456AACFDF528A918DA8B7999FAE12A5A
SSDEEP48:D0uFd2u2pPA1ZfZrZRu0Oo6DbSLbof3M2Cb1irI:dFd2u2pPGZNRu0/6b+ofML1L
TLSHT16F511092320527E0C607F1278E445F4A0F70F1AA276B4A92395E00F01F8BF6A07727BD
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5473A4B96880CDB01A2B58283A15A8D4E
PackageArchx86_64
PackageDescriptionNumpy 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. Numpy also provides facilities for basic linear algebra routines, basic Fourier transforms, and random number generation.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-numpy
PackageRelease1.mga7
PackageVersion1.16.2
SHA-1205C4DE7ADBA610CFE4B2A4960A70979DA8BF8EF
SHA-25641D6BAE5BC74565B2B356CA4BC3EF293B71EF3EAE45DF5C1926891B89A6FF1DC
Key Value
MD5983939BA81F95271DE0224A94FB97711
PackageArchx86_64
PackageDescriptionNumpy 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. Numpy also provides facilities for basic linear algebra routines, basic Fourier transforms, and random number generation.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-numpy
PackageRelease1.mga7
PackageVersion1.16.3
SHA-108E0BEBDCEB16EF180ADEA977AD603002024E818
SHA-2562DFF7D90F3A8B44A0FF42B410CFAA36A066A01D045B17AC7812CEEE2363B9660
Key Value
MD54982CF54373E847362BF5375ED0C77D5
PackageArchaarch64
PackageDescriptionNumpy 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. Numpy also provides facilities for basic linear algebra routines, basic Fourier transforms, and random number generation.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-numpy
PackageRelease1.mga7
PackageVersion1.16.3
SHA-1C056ECFAC5F8728F15F9AF93ECA383CCC0B99AC9
SHA-256102F7AB07C2CE18E16E665E215E411A9DBE5B30905E00295E1FCAAEC266901E3
Key Value
MD5A6E372A9A4FF5CC52BB28A623B8EE6CA
PackageArchaarch64
PackageDescriptionNumpy 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. Numpy also provides facilities for basic linear algebra routines, basic Fourier transforms, and random number generation.
PackageMaintainerdaviddavid <daviddavid>
PackageNamepython3-numpy
PackageRelease1.mga7
PackageVersion1.16.2
SHA-12395E62BCD469A5C9983C5F8863C29742F6677B3
SHA-256B1746B42C4FDB9BB1D1F3DECB2EEDC9174884C9DAF3B4AB4C86D6CD61F7BE56C