Result for 0A7C5766DFAFE14D901E04D9DB19CF498B370570

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Parent (19)

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Key Value
CRC326C8282BE
FileName./opt/rh/rh-python35/root/usr/lib64/python3.5/site-packages/numpy/core/include/numpy/npy_common.h
FileSize36269
MD53602D90AD4DD611D9A3C15E323DEC6B7
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'video editing', 'Language': 'English', 'MfgCode': '1722', 'OpSystemCode': '399', 'ProductCode': '186970', 'ProductName': 'Blender', 'ProductVersion': '2.78'}
SHA-10A7C5766DFAFE14D901E04D9DB19CF498B370570
SHA-25697E1E5C82A0E1FB9C1996428CCB164EC8DAD055E385013D8C2C6D64FC06F6BDC
SSDEEP384:ilFNs8uQvSmovmGpdIPKxFW+1t18Vdx1KN19F1r+9Y:QAp6qFj1t18Vdx1KN19F1r+9Y
SpecialCode
TLSHT17AF2D0663A9D94924334C863A77E4E8BA319CDB75246D8CD701CACFC8F119308AF5ADD
dbnsrl_modern_rds
insert-timestamp1646981590.5365906
sourceNSRL
hashlookup:parent-total19
hashlookup:trust100

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Parents (Total: 19)

The searched file hash is included in 19 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD51E79F24F1CE2383809BA0458F954C643
PackageArchppc64
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.
PackageMaintainerFedora Project
PackageNamepython34-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-117672A0EDC2E9E0C83FED6BC39A2F15D022B1EBA
SHA-256E770185F352B907E2CF9FDF63655E53B11C4226E938CE1C687DFA3050DDF2FA4
Key Value
MD55637CBC2F8F6AE08CF51AA2E02D3D196
PackageArchx86_64
PackageDescriptionThis package provides debug information for package python3-numpy. Debug information is useful when developing applications that use this package or when debugging this package.
PackageMaintainerFedora Project
PackageNamepython3-numpy-debuginfo
PackageRelease6.el6
PackageVersion1.10.4
SHA-119C4D791741E40F69B32236C3FAF49D85F391600
SHA-256E1A7A550DAD0C99D6CC090D7D227D249A230B0474A77D4E323F3793DE95A0699
Key Value
MD5BF0E75F01D8046C31901F0AF93955E9D
PackageArchaarch64
PackageDescriptionThis package provides debug information for package python3-numpy. Debug information is useful when developing applications that use this package or when debugging this package.
PackageMaintainerFedora Project
PackageNamepython3-numpy-debuginfo
PackageRelease7.el7
PackageVersion1.10.4
SHA-1247BB0DDEE3319AE07CE06AE9257E94365132266
SHA-25683C0DE44CF11CD6595E47AE6BC4F0FEAEA07E47ADC2DA298DC81B3CC04C7C184
Key Value
MD5774C11CFA31222E53F17845F59EE11E5
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.
PackageMaintainerFedora Project
PackageNamepython36-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-128A2DBFF1670ED40E2BB439C14460D8E24BC8068
SHA-25610A73526FD643A3DFD145751C12AE41CBB8E654D97138AA3942CBE7DE29CFD26
Key Value
MD50267040506935B71B39F889A79C4F73A
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.
PackageMaintainerFedora Project
PackageNamepython34-numpy
PackageRelease6.el6
PackageVersion1.10.4
SHA-135C364D01C21E3C3136991BDE99C1966ABB19353
SHA-256559EE4FD1BADFBC54A48E429A18F220829DEA69858436CF695BBCBE6BA65C007
Key Value
MD54FD63AFA189B593A49F8F4F964B96651
PackageArchx86_64
PackageDescriptionThis package provides debug information for package python3-numpy. Debug information is useful when developing applications that use this package or when debugging this package.
PackageMaintainerFedora Project
PackageNamepython3-numpy-debuginfo
PackageRelease7.el7
PackageVersion1.10.4
SHA-157B1DD8AB7AC0979943E3E86FA6B974EA60A8E65
SHA-256632D6A4F65702E63D9A8C7C714BE89C7624B49945811A64B6D4BAF3F8EA4EFC8
Key Value
MD5391A23BAE0713C710CDA4383323F9731
PackageArchi686
PackageDescriptionThis package provides debug information for package python3-numpy. Debug information is useful when developing applications that use this package or when debugging this package.
PackageMaintainerFedora Project
PackageNamepython3-numpy-debuginfo
PackageRelease6.el6
PackageVersion1.10.4
SHA-15D4380E8FDAE417DA3FA82FFEE81E3644AD387AD
SHA-256D25B04660F9B37FF40E8AB03EF04B8C6ED66F49259913F9D1E337B0CBD7ABD5C
Key Value
MD5988FAF24637EB942525E7D0B4752911B
PackageArchi686
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.
PackageMaintainerFedora Project
PackageNamepython34-numpy
PackageRelease6.el6
PackageVersion1.10.4
SHA-167E9E435864FF7D809ED2C626359AD5C4183601E
SHA-256C86085A56BAD82194870FEA84FB3B90834E4D528ABF06F1B28CB4BAFA74EC0AF
Key Value
MD598C2D23AE8626687A46F08BD8DA65635
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.
PackageMaintainerFedora Project
PackageNamepython36-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-16A46B1CA0C80AD2FC9A8DF05451E9BD13C7104F9
SHA-25614CFA64D82764CC7EA25F19B74A1C8B41DE4D2D28E1CC82F2692E7AB628A7B6E
Key Value
MD5F3D0ACF4935B1B8F2066C0521F325F84
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.
PackageMaintainerFedora Project
PackageNamepython36-numpy
PackageRelease7.el7
PackageVersion1.10.4
SHA-16C60DFDCE9572BC86A49FE9E3FFC02E0555D2A2A
SHA-256CEADEA5F1972E94D8966C76B7CA4FC27EFCD0B300AE1D5D3006AE43BE9028FB8





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