Result for 0153FFD02DE26F6C5733134CA2D2A100BBFECB40

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/numpy/distutils/command/__pycache__/develop.cpython-38.pyc
FileSize914
MD55453F9E25BD5100AA9CC1F0D9232F8DF
SHA-10153FFD02DE26F6C5733134CA2D2A100BBFECB40
SHA-256D58D25799E7B571BB1A35C4B0D7B482355B7C39FE1994A9AB21F256E0C577DF1
SSDEEP24:cYngiWpqMqk/qqG59dWjFgr8iBHN/P/kBkY:TneMrqwfqTkN/kuY
TLSHT15A11EF7A8C2462B8F558F2F4803B63F985F342FF06D453962E9869BA1C476810C5A845
hashlookup:parent-total12
hashlookup:trust100

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Parents (Total: 12)

The searched file hash is included in 12 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD560D1FE522BB33B01250789BB97B7EAB0
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease5.module_el8.5.0+742+dbad1979
PackageVersion1.17.3
SHA-1994A71B8281DE2FBF648092C45BC80C290A015F4
SHA-25611CE56168EAB251D99A69AA1F3A535AD8C87CFF272FA1EFE9B8957E405255BC7
Key Value
MD5C63161CF9AD9F6F8CD739B87E68EFA1E
PackageArchppc64le
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease5.module_el8.5.0+742+dbad1979
PackageVersion1.17.3
SHA-1BDCA7275D9C5B91C80137DC93501B7D1AFA1CEDE
SHA-2566EBFA91AC55913461EA8C708ABF0B412944EEF6C05DF046812FD71F90E735073
Key Value
MD50874D9A92265D07082454BCF6778DD1F
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease5.module_el8.4.0+647+0ba99ce8
PackageVersion1.17.3
SHA-1E5FDD0954D5131CBDA078BA524096EA2EED98AD0
SHA-256546452878699B9D717B72E140437A99CD2F155A3DD1FD4505E97000B0963C316
Key Value
MD5388304B0B3E2BEE1A609957A271C226A
PackageArchppc64le
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease6.module_el8.5.0+896+eb9e77ba
PackageVersion1.17.3
SHA-13F83C3A77E834B94208632E7E58AB206927A0F67
SHA-256494F1BE0AA0121EC7B2D3AE8BCD91F70113F97D16C41357837DF1D21DA245230
Key Value
MD5C26A6F657A40F5BD82EAA0E95E281C71
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease5.module_el8.5.0+742+dbad1979
PackageVersion1.17.3
SHA-1DF1467252C4D44B019832EC4605AB0A7BD552C7E
SHA-256B2ECEEF0EB0B0D0FC4DB9CBBE45A163300BACC70065D1F14298CE7E150DEB48B
Key Value
MD58C693491686902FB735D14AC819CB6D5
PackageArchppc64le
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease6.module_el8.6.0+929+89303463
PackageVersion1.17.3
SHA-1F61AC44B7BB61E9015B488737658B7C1D32F238B
SHA-256A60330C7B248EC4EACB3211EB4B0ACBCD92019E5916CD088D7140334F2604CE0
Key Value
MD5BD21EE20217DF832D61C909947583676
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease6.module_el8.5.0+896+eb9e77ba
PackageVersion1.17.3
SHA-15DCE300A3FCC270DC319D478CC9503D22BC7C718
SHA-2565BF5F1E47625BD45AF838C29D9D6CED0BDC9D5BEE102FFE3675B83A281CF415B
Key Value
MD58B6E97942CEA68BCB4CF16EF9C5701E4
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease6.module_el8.6.0+929+89303463
PackageVersion1.17.3
SHA-135BC549EF3EDCC8569D8D2FA82E60F6CF14DE414
SHA-256387DEB9D8C825F9EAAD97E1628A0D778FEBE83F06226C8DFFD53D03B5501FEB6
Key Value
MD5655A369C3591DEF34790A3FAF142C70C
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease5.module_el8.4.0+647+0ba99ce8
PackageVersion1.17.3
SHA-1D6937F55800F4538C062284E9452E7B02300B04C
SHA-25658C479B50DE887B941A769D9AD30B932752DAD15774EED5279EAB6CC5474CDD0
Key Value
MD546F84E3E12932885EF50EF00EA5C6362
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease6.module_el8.5.0+896+eb9e77ba
PackageVersion1.17.3
SHA-173E80E7BAD0FFB6FA07131522C141BD988F2FF14
SHA-25613B5CF974A1FDA27EB7736D97A3C111870970A7629FF4DA5989C4CF28C82F846
Key Value
MD5299AF17C8A94720B638C9CBEF62EDF84
PackageArchppc64le
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease5.module_el8.4.0+647+0ba99ce8
PackageVersion1.17.3
SHA-132DC6095C573A7E42FD3283EE4E4060C30687563
SHA-2568474647328A8DB88BA8EC25FCD0BBC43EE2FA0DC0338F3FB73FA09A6B9DBAA8A
Key Value
MD594ACD2D54BC0B0163956BE553CAAD784
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. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. Also included in this package is a version of f2py that works properly with NumPy.
PackageMaintainerCentOS Buildsys <bugs@centos.org>
PackageNamepython38-numpy
PackageRelease6.module_el8.6.0+929+89303463
PackageVersion1.17.3
SHA-118F3FDDD141E07F3D3BC12EBDA5DA9A1BE05A25A
SHA-2560FBA2CCE86ACF503EDFE393C2D0233FAACB1700A8C73973170CE0AD9F1B7E4B5