Result for 7153ED077A9725C60C00ECAA93AA22ABB417839A

Query result

Key	Value
MD5	E55249D763F2929E94366498C88B8D6F
PackageArch	sparc64
PackageDescription	NumPy 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.
PackageMaintainer	Fedora Project
PackageName	python3-numpy
PackageRelease	0.3.fc15
PackageVersion	1.5.1
SHA-1	7153ED077A9725C60C00ECAA93AA22ABB417839A
SHA-256	15035F48E69656F19B8CA08973C28C8CD32E702DBB82B5435614313C6FB36307
hashlookup:children-total	812
hashlookup:trust	50

Network graph view

Children (Total: 812)

The searched file hash includes 812 children files known and seen by metalookup. A sample is included below:

Key	Value
CRC32	54336792
FileName	README.txt
FileSize	770
MD5	1A49899F0FBB3D86461CC9A02AC02013
OpSystemCode	362
ProductCode	13446
SHA-1	0065D4EBF4B42E0403E0564308FD546E17CBA6CD
SHA-256	6D283B8D36EAFD6C50A31D83EC2339A6C7FFCDC07B727F10DD969BACFAACACB1
SSDEEP	24:jIdkL0PYgBOm/W0PA9ZQM4Ew4tfdeWp7OmsjrCq9J:jIdkLdm/rG+DM18QM
SpecialCode
TLSH	T12301254AD5E8A6F954F1054980DD80DE977C85A532016BC3B0BD8D6807D72B6431B65C
db	nsrl_modern_rds
insert-timestamp	1646978051.8151507
source	NSRL

Key	Value
FileName	./usr/lib64/python3.2/site-packages/numpy/core/umath_tests.so
FileSize	13336
MD5	02EB8F6D8F58BA2DDC9799CB9BCF0DF0
SHA-1	00735514CD001F155335F4EE728D3278B988BA23
SHA-256	188EE2C9C656DC5FF7CF1C8D3BD6A7C4BDABD0ED00DAF09D39E9CD2DAE5A008F
SSDEEP	192:pevkB9EZ81LNE8iaduwPkOrLKn5MR3gDbuUI:pgkBWO15FiCuwPkOo1nuU
TLSH	T12F52A64EB3D58D66C96C223988F743667B29C7A167C00703F54C62AB2D813651E37ED7

Key	Value
FileName	./usr/lib64/python3.2/site-packages/numpy/core/_internal.py
FileSize	17127
MD5	8AAAF30BA295E4A1B0E48123EEEC9DA9
SHA-1	009AEAC3529CEAA39396E4F07555AEADB21FDFE4
SHA-256	0107C11262C783FD875BF2177111F19531FE4CF8506F662952383D49A3D67FFC
SSDEEP	384:00V/gU1usUDcrJ04M8gPsAEHgyzBpp1cG05ajajVBAEumgMWlX1tL0o:00V/L1usUDCJ04MzPsAEAyzBpUG052ag
TLSH	T1C67295027E5A555593528A6E4C8FE402B3146D079E046978BEDC617C3FD0B2AEBB0BFC

Key	Value
FileName	./usr/lib64/python3.2/site-packages/numpy/lib/tests/__pycache__/test_regression.cpython-32.pyc
FileSize	13415
MD5	291ABEB60B65EBD1231D1D4FFFFF8018
SHA-1	00F92FE5708F469797556F5888E74243F97055F1
SHA-256	3E0794344F1B3BE9FE551E2CB6AA0F19C3A7167F580170E72954EB517ED1640F
SSDEEP	384:hLIqZ6A6IviVgB3f1fFhEGZOnFmcY3RokblKNcqxHqdVhSZ+24p:hswlJviVg9f1fFDkFmcY3RNlKyqhq/h3
TLSH	T19B52E05193BE58E7D4F15F74A970621BFF72F5A2BF06AB5013A560BD2EC836A0C2E440

Key	Value
FileName	./usr/lib64/python3.2/site-packages/numpy/lib/tests/__pycache__/test_stride_tricks.cpython-32.pyo
FileSize	10354
MD5	D7182DC1D61C622384489A25AD43BE9B
SHA-1	015A7735646FFC45C9E2885776BF96886566C5A9
SHA-256	B670AAA7723486A2C025B82C8740986950FED0B193BACA481CB295864BC7541B
SSDEEP	192:VKBncu+7FZW2wz/56pH6UfTA0vJ5simUba8:VKBncu+7FZW2wz/8pH6UfTA0vP5bR
TLSH	T1EF22FE42B3FD0D9BF0E889B97128125ABD71E1975B82EB03265BE4385EC136E4D3E4D4

Key	Value
FileName	./usr/lib64/python3.3/site-packages/numpy/distutils/core.py
FileSize	8548
MD5	5E1570AC7C823AA75F6C227C0AFA284E
SHA-1	022EED2D82ABCFB1925438241D73EAAD93B53FBD
SHA-256	2DF380C19C49C6D0C27762F3328F69A7F7F6DFABA0CA479D9C7481990B4F21AE
SSDEEP	96:cJqZdP6Ev0ZT89Xv95KmbYaK74oP/ApWp9kF5wVnBDZQ7SYPUpGMMC9g9tuzXXGH:ccZ8/GXly7HIpWpW5oBaWgpyrG
TLSH	T1A802203248252876B7D694AD4C97C06367B17853A581B8383CFD990C3FCB426D2BB27B

Key	Value
CRC32	56AF2530
FileName	./opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/ma/setupscons.py
FileSize	585
MD5	B500130F5B6F413288F200AFF3161CAB
OpSystemCode	362
ProductCode	12601
RDS:package_id	11958
SHA-1	0235F2FE802A3648892695609EBD47F74EB1364D
SHA-256	A5FB66EE3FB85BC37D293F65804D82D4771566FBE2E784DA43E3C8FF22AB79D5
SSDEEP	12:HpDfFIbetyDYBQpqZJKRv6MiMVJFKzRwNhHQ2wtp2pLMiMdhl8ix5D6:pfyb01QEOniMRZHHQ2wap4iMfxd6
SpecialCode
TLSH	T12EF0AC8348661CA365A72B9BC0D769234FB2B7F630C0101C773D76DC2B515D2D98744C
db	nsrl_legacy
insert-timestamp	1648773422.6129591
nsrl-sha256	rds241-sha256.zip
source	RDS_2022.03.1_legacy.db
tar:gname	wheel
tar:uname	root

Key	Value
FileName	./usr/lib64/python3.2/site-packages/numpy/core/tests/__pycache__/test_numeric.cpython-32.pyc
FileSize	59857
MD5	9393554CE3BA5D9D48F6ED40942400EC
SHA-1	02D59CABA895C276FB3BDD12D3AADA525361FF79
SHA-256	3162CD327808D213CC75FBC7F4788BEE5139AF466DD452EF19A77D7BA998E1A3
SSDEEP	1536:1AwVSifapvQI8LXmwlGSOEW3//3lABDrQgn5CesLVU5W6ep0/0YDYHLfUW9:OqdF3kQ0WQ85W6epG0YErcW9
TLSH	T15C43FC41E7BE59DBC1FA1BB594719312EFB3E4E29700BB010270E0BD2EC473B596A486

Key	Value
FileName	./usr/lib64/python3.2/site-packages/numpy/matrixlib/tests/test_defmatrix.py
FileSize	11377
MD5	14AA41E7457E41BA389F89A4FDBB0E3B
SHA-1	02D758E4A75DB14BF8C13F1D89170C8231C9391B
SHA-256	DE0F5539B2574EF220573A7F1D7AD92F6D29FDEBECA11F3E914C67C27AE859AF
SSDEEP	192:6IWLPgnBlc0dPIXubxB+KpMYX+0c0o9rd5ki35LQe9jK:eL0hdxTaYOxxo
TLSH	T1A8321441D2530D68975B97FFC0BA8D090B15DE13C8052CA8B0BF11A16FAD63966BB7BC

Key	Value
FileName	./usr/lib64/python3.2/site-packages/numpy/polynomial/__pycache__/polyutils.cpython-32.pyo
FileSize	14328
MD5	40AAC08B445BFDAAA70ABD476C0FCB91
SHA-1	03210A8C1DCD52302607E79F4AD4826E92B949E2
SHA-256	258DE2EC1E3E876F2AF796DD82E952E48905E4B1934AFE3DE15006D9800D9553
SSDEEP	384:lNZ52JgmR0pkx4ThpDpBKvnWSOoQbKtdLDNIBxG:WgmapiqKvnWK3nLJL
TLSH	T1825272006FAD0AEBC2E6C6F931B52103DBB3E07767052B04319E95B82FD27325A7D599