Key | Value |
---|---|
MD5 | DE0A4AD7A91CFF8C248C2DB002DCF497 |
PackageArch | noarch |
PackageDescription | Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. |
PackageMaintainer | Fedora Project |
PackageName | python2-seaborn |
PackageRelease | 1.fc24 |
PackageVersion | 0.7.0 |
SHA-1 | 28CB473FCB4921C88EC70B2B211CA9C4580D6190 |
SHA-256 | 77E2470333C0C7C8629670DDFEC701243EAEACB4D15182846289B743EBFF24E4 |
hashlookup:children-total | 66 |
hashlookup:trust | 50 |
The searched file hash includes 66 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/seaborn/tests/test_matrix.pyo |
FileSize | 36275 |
MD5 | 3193B8D0235E03B0C0BDE0CFE0E84854 |
SHA-1 | 0519146EC5A5B68F6409FBA6AADEEC14ED4EEEC6 |
SHA-256 | 6239F109F28C003A2A7DA58BC67DC9D8178B8A287AD2AB88D6D588D34A44FEF4 |
SSDEEP | 768:7Tomr7bOoZUbZh01OBtJCog8D7MUvItZAoreiaM0JTh70GLyvDK5K:7TomruoGbZh01OBtJ5g8D7MUvIjAeei3 |
TLSH | T122F2EC80F3AB5A9FC9955870B0F01307DDA9F5B7A980AB8111FCE0792DC536AD46E38D |
Key | Value |
---|---|
FileName | ./usr/lib/python3.5/site-packages/seaborn/algorithms.py |
FileSize | 6879 |
MD5 | 2EFFE083BF22CC24E9A206E1EA02085D |
SHA-1 | 08FB6C0D646604A4DD0612DD9E08A921BE379B18 |
SHA-256 | 55AC5FA467F2A29E13E7D8A9B06C6067BD4A909C18FA04C4392583FE2ECE9DCF |
SSDEEP | 192:65Xax057D1tBcQc5GKw+xEz06k5xU+XEZ:65XW057LBlPA6kQsM |
TLSH | T177E1B5076D01695BA3C3906A59DE92227354E0332AC43175BF8DA71DAF12C37E379EAC |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/seaborn/matrix.pyo |
FileSize | 36254 |
MD5 | D2C23967DB8B817824361C66426890FE |
SHA-1 | 0916F386828DA3D6FD9AE50F8182332398652B63 |
SHA-256 | A7FA6806E47926665546EA7E357F53E830C3926BB0E8AFA38908A3C245E43BB1 |
SSDEEP | 768:g+/5u+qfOUBRobnWtpsqxinrJJYZljVDDXySb4XlW+XX7uXl9pXcx7VbeAQfJjeA:VuRBWWfzIzmRXaYtX8XMgoB |
TLSH | T105F29242B794075BCA9290B1A4F48987CA77F0376A42679535ACE0782FC5A3AD47F38C |
Key | Value |
---|---|
FileName | ./usr/lib/python3.5/site-packages/seaborn/linearmodels.py |
FileSize | 57496 |
MD5 | 2B6235ADFFEEDA5212800E85A8D7E1D2 |
SHA-1 | 0FC61882BF2604FC4B0BA8582DBBA1D871D86388 |
SHA-256 | 5DC62776A1F34669C54B2FCB5AFBEF8AAABE9115DA055A08CEA7583230C8772C |
SSDEEP | 768:nDKI77O2eOVECd34NnVFrGAEag8bmW5zQxjev5kr0Ph3bzpAwKFA/X6O0GPxWiFj:nOIm17GAw8bmOUeh3tb9AwKw6O0Poj |
TLSH | T1C443B50BEB191B23878388BC18AFD1466314A51B2D4935797DAC921C1F8693CD5BDFEC |
Key | Value |
---|---|
FileName | ./usr/lib/python3.5/site-packages/seaborn/tests/test_algorithms.py |
FileSize | 6596 |
MD5 | B568EE58A6CD21263A6D3D82C36AE901 |
SHA-1 | 17C1AB552F8F4667C404DDB6F1BE599A9D0717F3 |
SHA-256 | B434974F206FBE91E357B6961AB03A2A20518C42D727B97712AA0F38137C14E8 |
SSDEEP | 96:jRTeB95ECNb7376S/RyMH/hxesk56CBAT/ZfDlO9V4i1ChpxTC4kex4KTyB16Xfv:9oECNPr6qEMfFhvO9V2VrkHKTyAhB |
TLSH | T103D14317DFB20D85CBD7B0B194AA61142984E63318E22C7B3EAE77158F5B13271B3C68 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.6/site-packages/seaborn-0.8.1-py3.6.egg-info/top_level.txt |
FileSize | 8 |
MD5 | 3877210C6B9ECE35CA3C4388CDE3BCB1 |
SHA-1 | 185424ADA2E0A0AEF93D484F37A7A2D60633F925 |
SHA-256 | 191214D5969DAC63402C4D711B9E066D313123B7EF4A4109621EA9F175E0A1E2 |
SHA-512 | 7747853FF01B97694327B34488636E7839FD81E484160CDD126CB06CD73D02A0B6C54C97D947255F08303E0D17512D915C5B868E1B7A13B331C51934FE778C3C |
SSDEEP | 3:Nb:Nb |
TLSH | |
insert-timestamp | 1727098319.662046 |
mimetype | text/plain |
source | snap:0oZietUv4HBZqnYAVhtPwewC9Y3oHM4s_19 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib/python3.5/site-packages/seaborn/miscplot.py |
FileSize | 1488 |
MD5 | 10897A1DFD20289C59939BFDF4AA240B |
SHA-1 | 196EFA796A984ACB3A76383CAAC416F37B23E723 |
SHA-256 | EB9B21AD4A00585BB26EF156A3865AB9F21540B3056DA0A948AB4A90DB5085EE |
SSDEEP | 24:1Rige6l7cm4pyxqw7vZ0shyI28KFZay8C7LXFRD0UQCvdv5wucv0:Pz7h4wxq0mshkn/xQCvNa3v0 |
TLSH | T15C31788FCB4353639753C96E19A240269332386729571DEC79BC23601FDA53989B4B3C |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/seaborn/tests/test_algorithms.pyc |
FileSize | 9742 |
MD5 | E1FB53CDB1240B59B729E509A7B8033B |
SHA-1 | 19B0E47F6AEC89F7402904BDDBCAD216558585DB |
SHA-256 | ACF724546783376DA094A420DA26FD8DA8AF1A49B816016450832C50D28E14D0 |
SSDEEP | 192:hJeKzoxg26WEJWR1Wz40sWjDVumT9ApHBUMrMf53VfzlMQgZaln7HmXg:hJeKzoxZdEJWR1Wz40sADVumT9ApHOMc |
TLSH | T12E120D81A7F54ACBC1F17874D5F0021BEDA8F1B75621630522ACE57A7DC9316D83B389 |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/site-packages/seaborn/tests/test_algorithms.pyo |
FileSize | 9696 |
MD5 | E13D3D47098BF3490173DE775CC8C91D |
SHA-1 | 1A578BEC0A453D0541BD0EC2594A40FEAC2F7BE2 |
SHA-256 | 065FA7D2BDC6340B12EF647FBF02592B5153F7A4EEABF7D09BED35D49D274789 |
SSDEEP | 192:hJeKzoxg26WEJWR1Wz4nvWjDVumTO/pHBkMrMf546fulMQgtalnoHeCt:hJeKzoxZdEJWR1Wz4nvADVumTO/pHSMG |
TLSH | T12C12EC81A7FA4ACBC1F17874D5F0021BEDA8F1B75621634522ACE53A7DC9326D83B385 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.5/site-packages/seaborn/timeseries.py |
FileSize | 15202 |
MD5 | 933FEC47B705C09477C03C0A8E692518 |
SHA-1 | 1FD8DBEFA618386B49102D6A67BA430771F70B32 |
SHA-256 | 72323D0BFEE6C83D4525D1A316D645F60BD53468A2E1995C74AB719B45E3CB93 |
SSDEEP | 192:jaKB0KKho009mb4tQGw1LLor/b24TwklvivhwYOG9IK92TzWZUSfg2pwVP2lxtPw:W9p+oWTviLB2TzQfS2lfPciY |
TLSH | T18C62741BAE0607338753D0A856DFE4869310F41B6BA122BD3D9D96151F4283DE6FABCC |