Result for 32661761E467FC947C9DD599F3E0790D6E23D783

Query result

Key	Value
MD5	93301FD9C61C6C910A5AA1A10C9CC5EC
PackageArch	aarch64
PackageDescription	Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc33
PackageVersion	0.23.1
SHA-1	32661761E467FC947C9DD599F3E0790D6E23D783
SHA-256	A202ADD1221037EED0E79AEFB1F1E3261AAAE92A596139E7C062D03F8C3CA0BB
hashlookup:children-total	1863
hashlookup:trust	50

Network graph view

Children (Total: 1863)

The searched file hash includes 1863 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/share/doc/python-sklearn-doc/examples/svm/plot_svm_margin.py
FileSize	2540
MD5	20F0800268AA3B127A61866BEB151FF0
SHA-1	001C2B7EF85E6BFACF735090F2C5E656263B182A
SHA-256	800978E1EF0A17DAE6DEA3ECAB717245DEA9CDBA8F649D4E4A2877352DB3E680
SSDEEP	48:CdEGkJVbTOXwNUh6EPXu6HSghmkhslNMftKVGbioWGF:CvQcX186HIkh6Sms
TLSH	T140517401364C73B09B4381983DE7ADB57761A17F5D80282FB1AD6244CF18BAAD739D8A

Key	Value
FileName	./usr/lib64/python3.9/site-packages/sklearn/preprocessing/_csr_polynomial_expansion.cpython-39-aarch64-linux-gnu.so
FileSize	216240
MD5	8119B062F62E2387A1ADFEB474C54AF1
SHA-1	0034DE1263864CA12483662305EE46B7CB560FCF
SHA-256	706985DEB5CF489AAD8793173088ED15552D24CEE00DB7810A3C189B79D7C80D
SSDEEP	3072:r7mJPq6hWZ61gY2ccMqYdUpO0RZozyJf5FOPi+0HXKyi+ylmsorSDgF/nk:E14Uz2ccMqfcsf5+3yi+wmsorB
TLSH	T178247C7DFB0F7D81C5462339CF4A82627733A48CD399D5935904E29EB7D7AC68A39802

Key	Value
FileName	./usr/lib64/python3.9/site-packages/sklearn/linear_model/tests/__pycache__/test_least_angle.cpython-39.opt-1.pyc
FileSize	17430
MD5	9C131CF04A76441034F7DE5F6C939125
SHA-1	0037D74A6A2B9A87614C133E1B8648EAFAC02999
SHA-256	CE32D3C81AB57385EAFA4EBA173956454EB80553007D26350596A7C629E22FDE
SSDEEP	384:iuVildWD/WW4BU3A57/NnTt0sHRoxJUQaUAw9cdsC:iuQODNwVFTt0sxo71Aw9cdz
TLSH	T1AE722A997C87DE5DFC2AF1FC003D09108E54E374274BE7429920A24F1D655A63EBB1AE

Key	Value
FileName	./usr/lib64/python3.9/site-packages/sklearn/utils/__pycache__/testing.cpython-39.pyc
FileSize	614
MD5	9C3B26FC8A0A2F4287446BF372002823
SHA-1	00526CDBBD62FB804E4ED5EEEC3CFC0C02E90DB4
SHA-256	EA6B153078F1ED1DE5AF4CC9755D371A1C7C821BE0806DCA8AFC3209488F0C01
SSDEEP	12:Qj/K2ZILsS//J5l8Jm9nHA201GeEy7Vyr6hQBlk6MRcsc3gDn:QrWsY38Jm9nw1GeEyfh0a6Aqy
TLSH	T199F0E152130F2726EFA566F822214A2546F18A335704A2472F185D4F740A3C64104B5D

Key	Value
FileName	./usr/share/doc/python-sklearn-doc/examples/applications/plot_species_distribution_modeling.py
FileSize	7970
MD5	46FB3C87E92A0D145492F244860459FD
SHA-1	005689838EAB53866B9804164514E5CC80C8E08D
SHA-256	A34FA8826C4DE8FA6B695DC1AE85FA4F4EE0B4D12062B4CEF9EF213479E14DD9
SSDEEP	192:ooYmsjw0Kq7Ib808OR2eo+1MWKI1SPPcTzcHF6eVIQ2:4nxh02eo+1tSPMz66eVIQ2
TLSH	T1DFF10A27BB453769B74380ACAF9D14C3B737891F99903468B76C80802F1D338EA3EA55

Key	Value
FileName	./usr/lib64/python3.9/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/__pycache__/test_gradient_boosting.cpython-39.pyc
FileSize	18790
MD5	121E2F314CA6D2066C4133BF2F97C314
SHA-1	01860309E55D0A2BEA2102CAEE069B56E51E1F84
SHA-256	BD0729F078F83C6A8D92DBAF49287198EE503E3B09EF82D788A8CD014F5F6DFE
SSDEEP	384:uh4DK95bZogZsP1HeOIYN8O8xmR6JI7OMLevob6Lvc7TSLGpzHOWOV:uhFRitJIEYhJIvb6LvH2HOWOV
TLSH	T1E78229A6E4436F65FC79F5FD5C2E021C4A54E2AC9382D1B79C50A34F1CD96C82EBA038

Key	Value
FileName	./usr/share/doc/python-sklearn-doc/examples/applications/plot_face_recognition.py
FileSize	5673
MD5	E04463D133077965B621853B417E3976
SHA-1	01A05E69B658947C8718FF96E63992BD7120AFD8
SHA-256	95EF36678B93D317074819E512B6EB9FD41AD6CF42BE577F6C95F233494D0C95
SSDEEP	96:/WrdZDdY/G+XcXjnW+eV4fcQAY8vxucweFmVFG6kgIOrzTmd1ljF9bw2sbwnHqlN:erbzeV4fcTY2IcxidksKR93sRlZ5Ey
TLSH	T128C1B57A7A6B3B71D3A760B9A9EC38B43720504E0DB30515338D42D00BB2F78676399A

Key	Value
FileName	./usr/lib64/python3.9/site-packages/sklearn/tests/__pycache__/test_multiclass.cpython-39.pyc
FileSize	20104
MD5	E02727CA1F32AA860823620225137383
SHA-1	01CE6529BA789A345611B61252C867AB40DE713C
SHA-256	0D189DE93F38FD4516A4C9A9FC091898CABC319DE6F1CEFFD6B5D856DB5DD9AF
SSDEEP	384:+Wc6xRFYmGlBqIwixvt6u6FhFvkxBzJC1m8Bpy:Dc67FYdBZrodFhd+JC1m8B0
TLSH	T1B192D778B8036E6BFE36F5FD40A502890E75E3399BCBC5C3D534965E2C006C91FA6A58

Key	Value
FileName	./usr/lib64/python3.9/site-packages/sklearn/feature_selection/__pycache__/base.cpython-39.pyc
FileSize	641
MD5	0160DD7C83C914E091B635EE52FC38CC
SHA-1	01E24A5CB075E439A124ACAC2D8E511B80B896FC
SHA-256	30174D7D87454FBBBE83856E72BF3A1807C728E5DD95CD6A74ECA3DBF0E36FDD
SSDEEP	12:Qba/K2ZILsS/7J5lnI5qnHA20DeExXyr6hQBlk6MRcsc3gDn:Qb8Ws63nIqnwDeExXfh0a6Aqy
TLSH	T125F0414223093731EEE776FB20264C205BF10A6727048203BF194F4F78462C5150BE5E

Key	Value
FileName	./usr/lib64/python3.6/site-packages/sklearn/datasets/tests/test_olivetti_faces.py
FileSize	864
MD5	46B067B890D8EE9DCF4D28E4919A79DE
RDS:package_id	294806
SHA-1	01F046C372BE4464FB3C2A9DE97398EA4358A892
SHA-256	E015CCE430A08EB77D9FD21AF2B4DF518954363646E02C2DC6CFC97456404198
SHA-512	26E342D5B7B72A6684E5AEA57476532E25A89D55A3DCEBA27E460A63BE877B8531C46059367CD70338C50090E0EB62DDD8681134AF55B112029BD580AAB13DE3
SSDEEP	24:AF94/5eOTyiyrTNyN59L1sGJsJzUJbTm2dvbF:AFK/D+vrIN59LeGiKtaeJ
TLSH	T11F1152057092120AB25372FA42AEF86397A3FF490F0155F0396BAA80378D9757357039
insert-timestamp	1696437101.8363733
mimetype	text/plain
source	db.sqlite
tar:gname	root
tar:uname	root