Result for 07BD40B168978A1E50DC19F0CDAF4FC963D752F2

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Parent (185)

Query result

Key Value
CRC323D77908C
FileNamesnap-hashlookup-import/site-packages/numpy/doc/broadcasting.py
FileSize5565
MD5AA2AABE3065D8B43E36C6C4AC04A61F7
OpSystemCode{'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'}
ProductCode{'ApplicationType': 'English', 'Language': '2226', 'MfgCode': '1026', 'OpSystemCode': ' 2018', 'ProductCode': '187988', 'ProductName': 'Blender 2.8 Beta', 'ProductVersion': 'July 12'}
SHA-107BD40B168978A1E50DC19F0CDAF4FC963D752F2
SHA-256A54B6C0EB751822EEEB01F29BF7ED5C7E11930F93B7E97030E3082A4AF690967
SHA-51228913C0EC318CEA2BE07EFE9D0493B64FD40B41D428444D3D8322274BE14F4433A92F722F16BAC9611B0132C4855B63E5557FCE455E45D56A738174ACFEBDDE5
SSDEEP96:Bah8gDJtS/X0olBc3DRY/IjbGHcL2x/sRNBwXD8JbdA7I7Wm/62oKBRAKYmQ85c7:Bpu43c3VRkcDbu2o8RA84
SpecialCode
TLSHT16DB15222A15D23FD451A1390830F58DF463941322B345E6CB06F6D6C5722EBD97799FC
dbnsrl_modern_rds
insert-timestamp1727062099.6061072
mimetypetext/plain
sourcesnap:z7Fj3dqELnjuRnk1B2ttX9VZq97Y2leR_46
tar:gnamebin
tar:unameroot
hashlookup:parent-total185
hashlookup:trust100

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Parents (Total: 185)

The searched file hash is included in 185 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.5/packages//amd64//py3-numpy-1.14.6.tgz
MD5CA0D91C7E61E9D29713733D9A8C16B77
SHA-10243B5F900EFB5EEF8F2F6B613C2F5D84D916E6B
SHA-2566017BF2DCE35291A378539F4A927FE358B848DDE57B6C4CBDD95DB65FCAA23F8
SSDEEP98304:DwJVYp/+pv8gyypfdqkK1cQD8G1EVowbpCus27/eb/6N9sMZmj6VCJzGBhzU:H14v8+pYNcQA0CbkusqAy91IWCGBu
TLSHT1671633EC1B48DDFD57CF16732DDBA091270451B3B9949B3B363EAC850EA2524A98C27C
Key Value
MD5DE6E761B000D4B0344A493309D581C46
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>
PackageNamepython3-numpy
PackageRelease10.el8
PackageVersion1.14.3
SHA-1024CA925362109718B8C3F1422FF762C7A4B5BE7
SHA-256F53CA0232CA19F4AC16558E9AF35003D737660B1D27CABECAE09CE471926F4D0
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.1/packages//i386//py-numpy-1.9.2p0.tgz
MD5B65F1855BF9FF57E1F865D214AA5497E
SHA-1030E9346B0AB6B0140837F790309827B40110E2B
SHA-2567B9C178457BC898908AA423A8E2081B233D6D93AB83DDFAF204D6384459B2C85
SSDEEP49152:MwHXFYlEGlgazTQzgt7ulfifrD24Ixugufve6faTIMsmkh2eb3cmz78mUoz:nHXFKeSgoKf8DGzufve6STIH13nzUoz
TLSHT14BF53302CFB22545BB1D5C501EF6E4C649B2C41350E6C09A77F92A4B2D6E387A7CE73A
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.4/packages//arm//py3-numpy-1.14.5p0.tgz
MD5544B54DD0E57B8F8B92E2E384EC1573E
SHA-104A66FB41204481FD1ACBAAF411D08E13678C3BC
SHA-256657189DD58D9E3BC05A52FA8FD4A5CE397FE4C5E8A731A1E4D9668B352ED088D
SSDEEP98304:nGJoZakfdKyF9Zs1rWHcusjRWHWeJF9K6X+JTMMIleRac0fN1:GJo4ydKyvi1vus0jFg6gTIUhO1
TLSHT1111633D6366903F954543BF1F3A154DB0F211BAAC0D52CA98AB6EC92F37F921380D639
Key Value
MD55B4E741EA6D229ECFDD3B4358695DA1B
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.
PackageMaintainerAlmaLinux Packaging Team <packager@almalinux.org>
PackageNamepython2-numpy
PackageRelease16.module_el8.4.0+2154+0b56c8de
PackageVersion1.14.2
SHA-1055926B9B812F7958248EC6D78ECFE340B9C003E
SHA-256E369B5F1AFDBA66C7D4A75352E9FC3A578C8F5EEFCD8C2F7039CA06C4EEB031F
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.1/packages//hppa//py-numpy-1.9.2p0.tgz
MD5570FF918405C5D7B38F87DB3EAAC7DE5
SHA-105B3C05C3BD838D566D38BE16879E756EA39C2A5
SHA-2563280638447DB24CBA7B763115D1BBA63F3D0FD6D7BF5A58A054AF82E7DCDE627
SSDEEP98304:SWtUZwTj1Wquhj6P7JcQVGzu4JZveIAx1zDUoz:SWtUKThXuxR64fZA3hz
TLSHT121F5331306F5736EBA82447D2A81C4BB44962941D0D7D08C7FE6AB3F1C9630E5FAE35A
Key Value
MD598CE6269F7C957E2B3D22A5128F4C103
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 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.
PackageNamepython3-numpy_1_14_0-gnu-hpc
PackageReleaselp150.1.69
PackageVersion1.14.0
SHA-10897E527E1F17BA32F729CCDC0C95D71132F0E35
SHA-256DC53FE0B0C962514D8338F2013736F7CE7D729A9AA3D6E85E659145E0C034D91
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.0/packages//hppa//py-numpy-1.9.2.tgz
MD589BD62A3DBDD3901BDCD74DDBEB33C67
SHA-10AA34649EDE3AE28F9648B52059AC570C812413F
SHA-2563598221DB2EDE2718F6B15D7577D90D5B1F545EC3AD6637EFDC223EB8FB47A13
SSDEEP98304:yd9un7dbJs8peGPJjeaF63lKOBVGOdu+sIzNX0AfI:ym7Hph1ep3lB6UBEl
TLSHT17CF53316DDFC7100FE0492305F18A59EC383D929BDEE618A3AF1ED8518F25ED225E1DA
Key Value
MD58733789612E5801D49E02B65B1FDD4C7
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 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.
PackageNamepython3-numpy
PackageReleaselp150.1.49
PackageVersion1.14.0
SHA-10ADFBB676206CDA971C8897EB4222969B77E7515
SHA-256970E564BEF04C7D172092CCB3DAB55CF24EB9C8B13705EB36BDDBD55A51CD4CF
Key Value
FileNamehttps://ftp.lysator.liu.se/pub/OpenBSD/6.6/packages//arm//py-numpy-1.14.6p1.tgz
MD5252585E5C2DFE782D1DC03FFE4FCEACB
SHA-10DA7384A573918B38BA2BCFF527C764A23B73636
SHA-256FABDE020EE3BFE15FA702042BF809EC7997BD8C089B5161DD6DB8B60F03E0496
SSDEEP98304:i2B4C64zHvQvXBMDWwSx/jiQpcWlLis7GksiEGcNgzgiHnAKq0yBL:iFC6uvQJMDWwwrJrRisCkFdohbNB
TLSHT19B16335DBADF31EE34433EB6D2502561438593CEA8ED98F2DFE1AF190A979137280790





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