| Key | Value |
|---|---|
| MD5 | CBDDD57CEB1A85CCF35BB68B6BC5494E |
| 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 | python3-seaborn |
| PackageRelease | 1.fc24 |
| PackageVersion | 0.7.0 |
| SHA-1 | 514A5398ABCDC26F1C8EB3404B17937E1D9542A2 |
| SHA-256 | E9D14FF8436E54E6588CF1CA11572467A166AAFA82C207C8435AB977079DE0CA |
| hashlookup:children-total | 65 |
| hashlookup:trust | 50 |
The searched file hash includes 65 children files known and seen by metalookup. A sample is included below:
| 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/python3.5/site-packages/seaborn/__pycache__/algorithms.cpython-35.pyc |
| FileSize | 7525 |
| MD5 | 38583447F56E63C4E5C640DEBA77F530 |
| SHA-1 | 09585487D7BE24D4FD9F26F15E878FA254757BD6 |
| SHA-256 | 3EB961DA76042BEC9FD18AFEB7FF66CB24123447C2D9C00AB585CF8C457CCD89 |
| SSDEEP | 192:vC+k5Xamm0MCz9sR9YMIQ6iAHEcUpw+xEzKoYNwL6:6V5XJcCz9sR9YNiAHEctPuoYNwL6 |
| TLSH | T1F5F192403B81421FF1E1F0BA98785311EBB2D0465B4673117FBDE6B96FD7B20593A288 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.5/site-packages/seaborn/tests/__pycache__/test_distributions.cpython-35.pyc |
| FileSize | 8599 |
| MD5 | 14F034E94E89E09B8F4DA5126F232E98 |
| SHA-1 | 0A05D5FB0B5C4B3B8AFFD33B2360A28C388E74BE |
| SHA-256 | F4B93C746E966C6AC521F20866B2F113D0E7176E7D519514BECC61086A52EB8D |
| SSDEEP | 192:YJRlKk+VpshjLheUIZ7eQu8hDbUaBtgtuh0qO6Y/kAmhZktQFb30:YJRlKk+VpshjLUUIZ7eQu8hDbUaXOuh2 |
| TLSH | T1D402CA8163CBEF4FFA99F279A07873149EB2E2D86A80770257F0E43A3EC4354D955249 |
| 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/python3.5/site-packages/seaborn/tests/__pycache__/test_linearmodels.cpython-35.pyc |
| FileSize | 22440 |
| MD5 | ABF87FEAC77F88C40BDC3559585E4D4A |
| SHA-1 | 1B428613D0B7CC4EA442A61AD526286EB22FE4EE |
| SHA-256 | 9F9C9B80DB38C5EC5F1E810F2DC98B1C99C3125BF3456AC78E36182A9BF9044F |
| SSDEEP | 384:TgJwOYkFAdAwGOwQtJJBRnqgUkM/5qlDxp7vQ3PHMEa4DX0kEWUtFJxd9ZEgYKpR:cwzkFGAwGanfnqgDM/5IDxp7Y3PHMEav |
| TLSH | T16EA2EB51A387A99FF956FAB870382304DFB2E5497F41A75143F8E03D2FC4384E896289 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.5/site-packages/seaborn/tests/__pycache__/__init__.cpython-35.pyc |
| FileSize | 657 |
| MD5 | 4C60E04E5CE247EFB552AC23DB80445D |
| SHA-1 | 1D272A3DB0AFC83BC6AD1F103644DFDA079E883E |
| SHA-256 | 04216B4BFEA69CB8C422172518C79589C51012F8B076C978FC3BF7EBC700153C |
| SSDEEP | 12:NtE0ITOS/VoYyZmBKYkUifnTVQs88KTIiZFe2MJHnLvu2lakBX6/Im:k0Ar2XmBKUifn0TREXdnLdak96/Im |
| TLSH | T1CC0128C4C78606B7F6B4FFF3E0A562057776D4B26700A302351CA5BD2CC92881CA0604 |
| 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 |