Result for B853847F69F1F910C657394D51431E5B69DE012A

Query result

Key	Value
MD5	AF212728AA9596C28F3C2AAC0BA53DDE
PackageArch	armv7hl
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.fc34
PackageVersion	0.24.0
SHA-1	B853847F69F1F910C657394D51431E5B69DE012A
SHA-256	65468DDB69060B410A6078F4972495F2D13C1053EFC9A327818EC723D44F13D1
hashlookup:children-total	1683
hashlookup:trust	50

Network graph view

Children (Total: 1683)

The searched file hash includes 1683 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python3.9/site-packages/sklearn/semi_supervised/__pycache__/_label_propagation.cpython-39.pyc
FileSize	16911
MD5	6614DD8D87DFF4DF46D6B8C77E41D183
SHA-1	00156891E5897457451488BF2C3D0D47F989E45F
SHA-256	6068AA4D6A21731297639EAC823D709C056B8801CB5EED99F0107F6FC9F1A1B1
SSDEEP	384:UTT+D+V0xI0068oJB4BKiiwxaISGqI6O3i2gT:8V0xI0P8YuKrZGqQgT
TLSH	T1C1721956BE802A3AFED3F2F394FD0106DA74852B5381602474DE6B191F0446A777E76C

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/lib/python3.9/site-packages/sklearn/impute/__pycache__/_base.cpython-39.pyc
FileSize	23533
MD5	83EFD8F667C4F4792ACBD5F00BF1F348
SHA-1	0038E7BFF2ED889423C0ED8856A5034425A9DD28
SHA-256	12C41DB1A011EA3C6E9C61A3328086474FBE3F555799D7A6C6BB3C653032D3CE
SSDEEP	384:mNi4T0JDxPhwTtDUWXQ5BVY4iaxLFJEQOQX3zV+mEmq7mn9mFmOWfUWMm+F3OIfb:mk80JDxSTtIeITRiQr5zX3zVz9qKIA6N
TLSH	T1B9B2C47E3D010B2BFD53F1F164E903898F14917B538609EA38EDD0992F899A8163CB9D

Key	Value
FileName	./usr/lib/python3.9/site-packages/sklearn/_build_utils/__pycache__/__init__.cpython-39.pyc
FileSize	2195
MD5	1A3DC841D01BDC2F78877D6067BE383D
SHA-1	00447DC944882A89E0D2BB53DCE1D82140EA3629
SHA-256	B0F2825D09C11D812EFD7331474A40F6707EE03DBE27435EA2938905B9DFCDF8
SSDEEP	48:Q7CVlJ5o/LFm85wgXrvImatXflh61hgp3D1V/galf5y3n30aXf:6aJi/Lrw00malp/gE5y330a
TLSH	T14C41F8D44112E732FCBCB3FC90A8073276F0D3700B891059059499968F93AE44A7338A

Key	Value
FileName	./usr/share/doc/python3-scikit-learn/examples/model_selection/plot_multi_metric_evaluation.py
FileSize	3608
MD5	3366E47F0F923244172F58BDAAE55628
SHA-1	0067E464C1876018576BBD61309BCD15147A3875
SHA-256	5AF5A1CFB29AC6452A1C852DA694EB618892A6A559479268647DCBDD6FE67CF3
SSDEEP	96:Vw6SQe99hjxUv3/MXxQC1/94cQX/5PwXQQl5yMUYa:rS5qZPiQSXUYa
TLSH	T15B71460ADD372B520736D0E4BCE8AA91E392413D5E189164FD0E5A6D0B4AB75333C69D

Key	Value
FileName	usr/lib/python3.9/site-packages/sklearn/ensemble/tests/test_gradient_boosting.py
FileSize	50776
MD5	379D58F4A018A19CBA3218D75F753F03
SHA-1	00904C30AF7640968F15780F52FBABF0E1B129F9
SHA-256	3481482D9003787BDE5E87D78A6B209B784C407188E4C851060F575A61DC1D21
SSDEEP	1536:J59QMpd6DG9sksPNh+JQb3FYqHlK0yQP1FhpVzdt1XzdtVTrbkvYvDgc3a:J59QMp4DG9sksPNh+JQb3FvDhLdt1XzK
TLSH	T115337505E063496BAF6374B7A9ED451C3B85992B484044BAB6BEC4102FA857C337B7FC
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib/python3.9/site-packages/sklearn/tests/__pycache__/test_check_build.cpython-39.pyc
FileSize	483
MD5	283D67A7E6BE0F6848824FD64BE3646D
SHA-1	012E366DE96FB33179BF859F5FBD92D193723BCB
SHA-256	DE3B77BE59B97A9AC9DB7B8E44C0A92C8E001E5A132C3DC17DA821259A69B7B0
SSDEEP	12:QL+M0BLuc8VxlgkwRv8G5gW2/bTEE0CotwdJpqlwMm:QqEc8VxlTiv75gTEE3pdJp0wl
TLSH	T15BF0236185852F23F129EE7784302376B0F1867377ECE4611B8C69776F02F408CA3088

Key	Value
FileName	./usr/lib64/python3.6/site-packages/sklearn/metrics/_scorer.py
FileSize	29542
MD5	7ABED31C3417A48FA04A582EB5C70DB9
SHA-1	018E9A63536A94CB83BDB656C08B934C81706FB5
SHA-256	8F37B7F3B8DA7123E4A98B2E1DA0D724580DCC50F279D05BD2498A751B565C7C
SSDEEP	384:BYHQGSfLlfqwn2awXoHh0fbNJO67zvwKcrspxd5dAKTgWP:BvGSfLlfqa2a6wQzOyzvwbASE
TLSH	T122D2A428F91B66218B27D8BDB8DBD056A3059D374A502824FCDDC63C1F0599E83F9ADC
tar:gname	root
tar:uname	root

Key	Value
FileName	snap-hashlookup-import/lib/python3.8/site-packages/sklearn/decomposition/__init__.py
FileSize	1396
MD5	498D4B8239A30411065868D30935986B
SHA-1	01946AAA0E97A082A9445AA079C59C0ED5140C7C
SHA-256	8365BE5E34C13D549444C970F979453F2714874E95F94234B1D22BDE9523EFAC
SHA-512	51E553F5F8912C3462A6AD1FCEA8C9931ED0676A156B415FBD8A10764392FA3CDAF39753B69500136ADE3B4C22ED68F985D29A915B882F55684CA2486AE6CC15
SSDEEP	24:at5S5HCiMesHVQB4aZaEQFuMWgmWNtoNtpfcYfp:arWHJMeXDwEQFDW5NJfc0p
TLSH	T1EB21487AA4173658007EA8A78E598169193221E35F432484B85E46B92FEFE5C4633B36
insert-timestamp	1662080049.1152234
mimetype	text/plain
source	snap:43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_175
tar:gname	root
tar:uname	root

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