Result for 40DB4473179D7FD20EDC608B6A6DE20772EA1AD6

Query result

Key	Value
MD5	D3E86F64D5080FCD9FBC832D842C14D7
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	6.fc18
PackageVersion	1.6.2
SHA-1	40DB4473179D7FD20EDC608B6A6DE20772EA1AD6
SHA-256	38E6C5C275C71F31F2806B24A091C0F130C9F51E76172176E412116769CFB6B5
hashlookup:children-total	800
hashlookup:trust	50

Network graph view

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
FileSize	1862
MD5	6FF91CD6EFCCC85ED08E9C383C9499C4
SHA-1	01B160F6BD42CDD93C77D4E3C0A16650DB4037EF
SHA-256	3899795310E3B62C92DC09E88BA0575B01673D05A63373A7C8BF240BBF1FAFA8
SSDEEP	48:TPj8U4SF/uxPbAwhBTcn3n3Z0CzNhF4aXXW/Bdvzlu1I7a09I:TPgu60whxC3dbc7a0K
TLSH	T13931E0C28A8F0E1ED787963E98E59205B729FD6700451CB5F5FE02949F6813E22E9478

Key	Value
FileName	./usr/lib/python3.3/site-packages/numpy/lib/__pycache__/type_check.cpython-33.pyo
FileSize	20261
MD5	DF11CD29C06EA98BB86B80D741FAC780
SHA-1	01C8843B71C32FAE607D1F6FBC7ABE3AD914E6DB
SHA-256	FFAEE9380D57EC112CF5C1E2AE72159522A683FA62E8E8B49381A85093297AC3
SSDEEP	384:dXoUr4NDQDM2B2PeVLttt3Ix2wDJHd9rX5BF7ye5fF73Yfj0TmAf4:dXoUr4NDQDM2B2m7Ix2wDJHd9rX5Bxnq
TLSH	T1B39242402E9C82EBD3A2C7B111E65153D721E47B5B407F4131CEF2B82F56B365A6E788

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/python3.3/site-packages/numpy/linalg/__pycache__/setupscons.cpython-33.pyo
FileSize	1041
MD5	DC7111ACA9FA01901B9547169962CA59
SHA-1	024811874B54906A979D528455BA6D20E82CFFDE
SHA-256	5229CFB312D188D7C9043CFE8DF1435810E6A4B537B5C281ED0C5CC509012110
SSDEEP	24:/3V8fcONPCx6fPIM9lsfiMuiMCXTri/nto/S0Q/7iMU/2zGg:P9cCxyIM9oBuBYU2/zeBU/G
TLSH	T1C3118CC29F6DCED3E1650735A07206258F7AF2A7AA8499118578B0E825C8BE75A2B50C

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

Key	Value
FileName	./usr/lib/python3.3/site-packages/numpy/random/mtrand.cpython-33m.so
FileSize	437284
MD5	D1A50998E472702D01550E90AE624D54
SHA-1	03978B7B0B2B2AD6E3BE9529EC7C7529E105B520
SHA-256	4C245AE64AADCCAB40123F07E88F6C74E34F0693410A6D752569168218D3D4DD
SSDEEP	6144:HEtRT+bRsIqDmKvt0D8O2apjWkFMGkGj/Tv+KDNlP2hGdgydvSuSpSiS6YjMS9SV:uoRszvc6EMGkGOK0+RxRI6j4n
TLSH	T16E94F702AD40ABB5C3E25EB7B6DE0147F321413BA3CA311D3C5C49A43F9B6A955BE346

Key	Value
FileName	./usr/lib/python3.3/site-packages/numpy/ma/__pycache__/core.cpython-33.pyo
FileSize	244100
MD5	4AB439954D5C2A0E9181A9A509D11BDE
SHA-1	039E1C495D84BAACA8B44E8C54A32E8E2A088086
SHA-256	98D80623421F188B2060A3BDB7709B6D3FAEDA39A7EC3874FD2EEB4315C34335
SSDEEP	6144:5lwAvXnTvNglF/3dObJydllDWSA8L0r0ZO2iuamXpaSzW2xSCN1ZiZlAkIkj6HjB:UNrfd3HtMYj
TLSH	T1CC3474406FBC02FBD2A1DBB510B50246CE72F26B6A443B45319EF5B42F95736223E69C

Key	Value
FileName	./usr/lib64/python3.3/site-packages/numpy/polynomial/hermite.py
FileSize	35373
MD5	73CD6C58FA7C27C11B9AC8DE0F510F6B
SHA-1	03C15D6AD7DB445D741762F7AA9AA2B771EA3D1D
SHA-256	87FCB151B2EC18C77D3F3D44FAAEFD34B1006BCFAF9FD656E2E332554ABF1B42
SSDEEP	768:DwlDBCBb0ScEY694i/x0Bb/WOt9AyDMTAx6fGlSiDQGdwS03s:YuF01W47BPgioS03s
TLSH	T19CF2B717AC4917B68313C2BAA4EB8503F325D43B2514341878CD66BD2F1793A93BE7AD