Result for 89EB4311CA7D8751E5C591999C3A5DAC6DCB5F7C

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Children (800)

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Key Value
MD588890C709514BFAB5729992B9A006FC9
PackageArchs390x
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.
PackageMaintainerFedora Project
PackageNamepython3-numpy
PackageRelease6.fc18
PackageVersion1.6.2
SHA-189EB4311CA7D8751E5C591999C3A5DAC6DCB5F7C
SHA-2561C6FD6C0F753287F590AF40DD6FC168F8703923A18B34ED7549AB78779B08F61
hashlookup:children-total800
hashlookup:trust50

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Children (Total: 800)

The searched file hash includes 800 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/random/tests/test_regression.py
FileSize1862
MD56FF91CD6EFCCC85ED08E9C383C9499C4
SHA-101B160F6BD42CDD93C77D4E3C0A16650DB4037EF
SHA-2563899795310E3B62C92DC09E88BA0575B01673D05A63373A7C8BF240BBF1FAFA8
SSDEEP48:TPj8U4SF/uxPbAwhBTcn3n3Z0CzNhF4aXXW/Bdvzlu1I7a09I:TPgu60whxC3dbc7a0K
TLSHT13931E0C28A8F0E1ED787963E98E59205B729FD6700451CB5F5FE02949F6813E22E9478
Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/distutils/fcompiler/__pycache__/ibm.cpython-33.pyo
FileSize4932
MD54CEA1651042CD9A253B291F1C4DB2A51
SHA-101C974287E3A02A3DAD8015A784A6355B521A02D
SHA-256960E49BA531ECE84164C48AFC49AA6E7B5031D314260F8E06EC50652632639D8
SSDEEP96:Rij+6oy/QVc8eKJiwFdIiZnAmBAN/7cUBxqvow0ujxu2sO9ojdV:Rl6MVcZpwUjmMBxwBZ+jz
TLSHT113A122B0637C9DD6E3A407B8D6B00202CFB2F6925A447F121660F0AC6BD92BF066F655
Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/polynomial/__pycache__/polynomial.cpython-33.pyo
FileSize32219
MD5AB245F3AF8FDEF6E4536D6A665A75CB2
SHA-101E19B91858918587CDD5E61051D0757EFBE8F3E
SHA-256B74E861AEDEE2901EFADA0C5AB8C170DE7739812FAC008F7991294D81AEE1DCF
SSDEEP768:AdD/EQXgeuLccqOAOKcx0pP+XNzRebjgN0SHtB8SJ:WD/PgeuLlm9cxtXNzA3gNntXJ
TLSHT187E294052DEC16FAC252C9F6A0FE5103DB63D06F6A046A0035ADDDBC1F93B32167E659
Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/testing/__pycache__/noseclasses.cpython-33.pyo
FileSize15129
MD5DA8074DB9C61B83B4A1EBF5476085896
SHA-101E4DDCA01069E06444410752DDA7C29D512339C
SHA-2564E6801288A5D4EBB2B22DB4574C6BC1746D9846DA79231F4CFD0540DDDD88D85
SSDEEP384:550D4rREJ9hAzDuHSiEf0GkyknZHUEiLsp9AyUsS4s5mHfAN+otfhn:D0D4r6RAzDuHSiEf7kyknZHUEiLsp9AD
TLSHT1146275D0A33D92D6E4B50E75407006569FA2FAB797002F9222FCF1FA2BC8337465B685
Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/distutils/core.py
FileSize8548
MD55E1570AC7C823AA75F6C227C0AFA284E
SHA-1022EED2D82ABCFB1925438241D73EAAD93B53FBD
SHA-2562DF380C19C49C6D0C27762F3328F69A7F7F6DFABA0CA479D9C7481990B4F21AE
SSDEEP96:cJqZdP6Ev0ZT89Xv95KmbYaK74oP/ApWp9kF5wVnBDZQ7SYPUpGMMC9g9tuzXXGH:ccZ8/GXly7HIpWpW5oBaWgpyrG
TLSHT1A802203248252876B7D694AD4C97C06367B17853A581B8383CFD990C3FCB426D2BB27B
Key Value
CRC3256AF2530
FileName./opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/ma/setupscons.py
FileSize585
MD5B500130F5B6F413288F200AFF3161CAB
OpSystemCode362
ProductCode12601
RDS:package_id11958
SHA-10235F2FE802A3648892695609EBD47F74EB1364D
SHA-256A5FB66EE3FB85BC37D293F65804D82D4771566FBE2E784DA43E3C8FF22AB79D5
SSDEEP12:HpDfFIbetyDYBQpqZJKRv6MiMVJFKzRwNhHQ2wtp2pLMiMdhl8ix5D6:pfyb01QEOniMRZHHQ2wap4iMfxd6
SpecialCode
TLSHT12EF0AC8348661CA365A72B9BC0D769234FB2B7F630C0101C773D76DC2B515D2D98744C
dbnsrl_legacy
insert-timestamp1648773422.6129591
nsrl-sha256rds241-sha256.zip
sourceRDS_2022.03.1_legacy.db
tar:gnamewheel
tar:unameroot
Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/lib/__pycache__/recfunctions.cpython-33.pyo
FileSize36339
MD5D790B187C00B73CEE6314E2AF61CD240
SHA-1023F5BB23DB2E4A0FD134AA3558471EDC15B99FA
SHA-2569E74D806A2678DDF4623BA31CF0B8EC513A4752FE4DFAF07126AB3022E2858A2
SSDEEP768:deh9uyetgcXjgfntorJD0zc3HqsLrH5N3nEUAWPIUjpdSHyGuPVFBF6Eu4/PVW7J:deXPetLXjkorOzc3KO4WdpdSHfu1F6Ee
TLSHT1FCF298807A7D02E6C2A14AB1507A5217EF72E67BAA042B0073DDF57D2FA1736503F69C
Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/linalg/tests/__pycache__/test_regression.cpython-33.pyo
FileSize4187
MD593D735A0DE5412E6638938C36B3BF3BC
SHA-102C9EB3AAD53D9422612034990779D4DCE9369E1
SHA-256CC0C6DA58AE27FD3A950A0483E37C8C1E75FC346DAE8D6BCAE0786D88F116434
SSDEEP48:DDtmJ3/kIYDrg+KHz6EeOM/SXA7DWxFXepbUxG28eTO+YY1AxU3I17x+23+8oROF:1A8IYA+KTUexu/2JT3YhoROTQPvaSZ+
TLSHT12C811FA25BBE45EBD4B10E39B4320221DF72F9D76A062B110316F1792BC83361CBE581
Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/polynomial/hermite.py
FileSize35373
MD573CD6C58FA7C27C11B9AC8DE0F510F6B
SHA-103C15D6AD7DB445D741762F7AA9AA2B771EA3D1D
SHA-25687FCB151B2EC18C77D3F3D44FAAEFD34B1006BCFAF9FD656E2E332554ABF1B42
SSDEEP768:DwlDBCBb0ScEY694i/x0Bb/WOt9AyDMTAx6fGlSiDQGdwS03s:YuF01W47BPgioS03s
TLSHT19CF2B717AC4917B68313C2BAA4EB8503F325D43B2514341878CD66BD2F1793A93BE7AD
Key Value
FileName./usr/lib64/python3.3/site-packages/numpy/lib/tests/__pycache__/test_financial.cpython-33.pyo
FileSize4523
MD54E7CD5749B8B4C69005646C066F54754
SHA-104501A940D40416E75ED63948DD908396ADA6B3E
SHA-256E1518A3F0BC5CD71280F1C9362B50624AE50101EA5C6B88BC58EA00887925645
SSDEEP96:nsOCTFK4GUvP8+8z/XS5IwySwcTHECVqq:nrooOm2yMHE+b
TLSHT10991DEC3D7EE89D9D1F2097A92414226DE73FCD37E04B7514721A4DD3BC825A08EEA44





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