Result for 90F8083441CA6F64B00270DE397A8747CBD839C3

Query result

Key	Value
MD5	1C21B72F9FFDFCED2A5F1069B9FBB70D
PackageArch	armv5tel
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	2.fc17
PackageVersion	1.6.1
SHA-1	90F8083441CA6F64B00270DE397A8747CBD839C3
SHA-256	EF7053A77744EF965CB66CB2F091B16670F250B8218D40DE2468C7EC08F94048
hashlookup:children-total	799
hashlookup:trust	50

Network graph view

Children (Total: 799)

The searched file hash includes 799 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python3.2/site-packages/numpy/distutils/__pycache__/unixccompiler.cpython-32.pyo
FileSize	3407
MD5	8892F5CACA1CC5BAB0AAB8840DDB9AE2
SHA-1	007B6A3EFF127DFF7368DDD104EC1ECC16A1975E
SHA-256	AF7B64CEB3FC0CFAE420315D5856D7F53B5D489879737EC922CBF58208C5A6B8
SSDEEP	96:66lGPTTiYT8t7S3r5X9DVcrgExlmIvAVC1FbMvNArbblean4q:PlqGYkeXVV+x8IvS2GvqFx
TLSH	T1F06131481B5C8EC2D3E156B063701216DFB3E2E25F453B1139ECF8925BDA5A69C2F346

Key	Value
FileName	./usr/lib/python3.2/site-packages/numpy/lib/tests/__pycache__/test_arraysetops.cpython-32.pyo
FileSize	7115
MD5	287B04B3E4AE73A84F35647E237D497B
SHA-1	017167AE91E4E188810098102A2EA14758377D58
SHA-256	4CA7F78940C88A55FF3E5E6F51DF1F1A0F3D6C8AF7E943ABC15065BE6DE5F4C1
SSDEEP	192:eAmgEoCTFwiv0Fwsa/vqeuwxUkFwvYwDnmdi6siIIu20xkYn3ZHSev4KxLvGPU:d9EoCTFwiv0Fwsa/vkwxUkFwQwDnmdiH
TLSH	T1EDE18A60C7DE45DFC1A1293AD0759311EDB1F4896E046B081AB0E9BD3EC43AA2C2F6C9

Key	Value
FileName	./usr/lib/python3.2/site-packages/numpy/distutils/__pycache__/core.cpython-32.pyo
FileSize	7754
MD5	6523F95C52F6BE5B07C6A91E87C93C94
SHA-1	01953872D68BE1D2ED0F08060F0CB47F59550DDC
SHA-256	877315EB3FE1E845E8DD923D8EBE3A53BF12FEF9121BD334498C0F21A4A0F5E6
SSDEEP	192:fUpH9108aPDR4fydMT+pes8V98V/+58ZHJN:cFO7R4KdMT+Ese8
TLSH	T1E7F150A0173C05E3E6FA46B494704342EFB1F5F1A6856F9012B6B86D6DDA3B7813B106

Key	Value
FileName	./usr/lib64/python3.3/site-packages/numpy/random/tests/test_regression.py
FileSize	1862
MD5	6FF91CD6EFCCC85ED08E9C383C9499C4
SHA-1	01B160F6BD42CDD93C77D4E3C0A16650DB4037EF
SHA-256	3899795310E3B62C92DC09E88BA0575B01673D05A63373A7C8BF240BBF1FAFA8
SSDEEP	48:TPj8U4SF/uxPbAwhBTcn3n3Z0CzNhF4aXXW/Bdvzlu1I7a09I:TPgu60whxC3dbc7a0K
TLSH	T13931E0C28A8F0E1ED787963E98E59205B729FD6700451CB5F5FE02949F6813E22E9478

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/share/doc/numpy-1.6.2/creation.pyc
FileSize	5568
MD5	A86368AC2324DCE32BD75F24440C30AE
SHA-1	023756C129F3431A6CB716547F9781CF497C8792
SHA-256	23F789CC2BA0F5CDFADA1823D81BFE8616E0C92F36C1B441C73CA2CC26C1CFA5
SSDEEP	96:seRgxJZK7cBmmofV9+0EHEPcXtSZ/wlU/TLN15T953hOLZLVwWqcCZz7knIWB2od:QJZK70mv9ckU9OIEN15TTxoLVtct7kNB
TLSH	T155B1B5177F86273C8257C0E2924E51C7DB24C038135586DA342AD661A760FBE26BE7AC

Key	Value
FileName	./usr/lib/python3.2/site-packages/numpy/distutils/tests/pyrex_ext/__pycache__/__init__.cpython-32.pyo
FileSize	167
MD5	5D09E64772D52591D6003291270175A1
SHA-1	02A11A8A39F430E08400AFBCC29DAEEF62F51AE5
SHA-256	B483E49F0B856CFF5A9DB1FF4FFE9CCDB387068BB55369B644CC045D18C524AE
SSDEEP	3:yQGt/mleh/Tj3tNltNltQp4T9YKKWMmoWrzFoc2dNmWeXosRMLQRTZIaiitn:yR/Seh/T+pi9YRLorBB2dcWeYeMcJZI6
TLSH	T17FC08C00A73A02C3EB38497F6310022EDAC8E823422864683508150E48CC0AE092A980

Key	Value
FileName	./usr/lib/python3.2/site-packages/numpy/testing/utils.pyc
FileSize	52612
MD5	68B102BEA1D1FC322F07A893ADCFC9FC
SHA-1	02F2F38490F4BE61186C0F08596CB2C8939A3D73
SHA-256	ADE8065353A888C2FFEFE8D7F91067D5606C9FA9472B18757437CBF8420A8E7A
SSDEEP	1536:0z+vJ+Yeend1fXV2OffgLIHLhd5/CwuVFLdOQWOwU2IkNIY9lv:0zJUfjxz5aFVxsB3v
TLSH	T17E33C7456F9D0EEAC263967920780317CF63E9675A103B4170BCE0B82FD9732567F2A9

Key	Value
FileName	./usr/share/doc/numpy-1.6.2/ufuncs.pyc
FileSize	5515
MD5	673CCD95B45F047DF430271BE117A781
SHA-1	035887BD1AE340BABCBB7B3B10C7BE0A940B28C4
SHA-256	A8E5C0592D2A6CA7A61AFFAA8742E51CE0103F0FC2FDC144D299FCA8674A1A64
SSDEEP	96:sCvvNLXr2Dj3gGki6eMLDSKjyFhKZ1koOv0l9tA/OuG9OFhs2VZr6YH/xdL4GqeR:tnlk14eYkoOv0XO8mhLZjfn7p
TLSH	T10AB183963B803BB6085901669B2F62DBC324D0F093E66D55742D69B43B18F3A037E5FC