Key | Value |
---|---|
MD5 | A764EFF26A9F78BF41094B67087D032B |
PackageArch | x86_64 |
PackageDescription | matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala matlab or mathematica), web application servers, and six graphical user interface toolkits. |
PackageName | python3-matplotlib |
PackageRelease | 2.2 |
PackageVersion | 3.2.1 |
SHA-1 | A6D7AC003153DA24E9E5964C69D9E3CDEF600E69 |
SHA-256 | 39C11A7B774434BDF80DB4B85CA3FA9D86F1BB541F222BD2F59A3A8E65EE4F26 |
hashlookup:children-total | 1532 |
hashlookup:trust | 50 |
The searched file hash includes 1532 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/packages/python3-matplotlib/examples/mplot3d/surface3d_2.py |
FileSize | 534 |
MD5 | 1B6E38E6451CCEF77ED0821F3F0B2A90 |
SHA-1 | 001ADD2535EE95D15A10FA9318A5143CBF90DB73 |
SHA-256 | FE9C1E0BA8687F9CCD0A84584B23BA10DF39A7157F36D8FDB0307263165A8AD9 |
SSDEEP | 12:tvsVWLGdwNX7AX7yt/VJZzPdWu3bFLqRYAAbA2rPBD3djYOw:t+WHALgzPdbrBjE2rJDtY3 |
TLSH | T1DFF09E72BF03A7236F4AC3505482C4169FECA1691F862C572C3E1CA0042278E1739956 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/style/__pycache__/core.cpython-38.opt-1.pyc |
FileSize | 7839 |
MD5 | 02A4181A2529D0B33C795ECC8560CC83 |
SHA-1 | 003CA14FE4874B2C67C24B8ABAA290A6EA30AB1A |
SHA-256 | 84DFA7A524AB63E01F531FBA5F6D8C2503AA10CF27E9D734FC0A0665E9A9F126 |
SSDEEP | 192:iFjzVuEUXT2bMfLM03extuslJCdfiOk9d2:uFVUj/fo0ls7CdaOK2 |
TLSH | T11BF194D5BE404616FAF6F1F2D1495451EF23C2AF2329752235AD02BE6F0E9406DBCB48 |
Key | Value |
---|---|
CRC32 | 3CEA0F8E |
FileName | usr/lib/python3.12/site-packages/matplotlib/mpl-data/fonts/ttf/STIXNonUniBol.ttf |
FileSize | 30512 |
MD5 | 052F770728B1569EBDBF47B6BC3647A7 |
OpSystemCode | 362 |
ProductCode | 196798 |
RDS:package_id | 222721 |
SHA-1 | 0063762D0B44ED5FAC5C4FF4747929A9518CBA85 |
SHA-256 | 5D106A5B78D1FFC30174553439B86257BFA45F088120CB3B4150A51DC4F9B60B |
SHA-512 | 2D8F9DC3D31D335BD04F3F6A022C0AFA6E69B3962E3430F822C49A6EECA67331F04D84637783030CC0D518FF65D6FE10F99FA834162D2E763F4E27C0E98E05A6 |
SSDEEP | 768:LIFNrtp69pJ4Whtsqyq6xqQlRHqhRyzu08:8FNnKpJ4Kaq/ix8 |
SpecialCode | |
TLSH | T158D2F64363FD8719F9F73B32A8B92554A83BBD27AA7AD31D4900146E49739408C347BB |
db | nsrl_modern_rds |
insert-timestamp | 1728992331.1777673 |
mimetype | font/sfnt |
source | snap:N5wcyFCjMeVF52rBn3YjxIanpCo5ifFJ_1 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/packages/python3-matplotlib/examples/lines_bars_and_markers/simple_plot.py |
FileSize | 715 |
MD5 | DAF575F3B617E3395878BBE1D7EFFBFE |
SHA-1 | 008C9573915CD0E9E9E5E7269FA2343C5FEB6403 |
SHA-256 | B63873CDCC3114DD49D230A1B2B8DC2F0C41DE948B6BB594DAF501FFE272DF01 |
SSDEEP | 12:9wEHR8yv4cZtGJZzPDiKPZfNFmycJMmjPq1nMPtufRHkRqFVsVDk5H2fLaLpwn:r3QcH2zPOKPdNIycKsP6nYeRERY6n |
TLSH | T15701D3062E5A1334A7D7C0B0FC436D6D6B51905A3C67093D1E1F1EE46F0874E8D65210 |
tar:gname | bin |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/packages/python3-matplotlib/examples/event_handling/trifinder_event_demo.py |
FileSize | 1752 |
MD5 | BF6A869622DF55AB96C080C34B5BF8DC |
SHA-1 | 009D89CAACC9401B4B7C1149C603455DEF357B8B |
SHA-256 | 45A35700B562102140DADBBA639C43664353DF3A165DE02E2245293E55EBB111 |
SSDEEP | 24:o44NBfyVUpVFQ4mlm6rlyJr19vQ6h53OfVEbs8ihMHotMaryha9hIfqTPthuLdD/:oToC2r0cwp1QjmA8izykImPuLda9eh |
TLSH | T143317400FD5F4621CF5B92E90C8C8A11577B52916A89382D33CD6DC00F0372A8F76F98 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/__pycache__/text.cpython-38.pyc |
FileSize | 65040 |
MD5 | 0CA9F1909C71178BD5C3CA30BE34F9DC |
SHA-1 | 00AEFE91EC61F2E56D263A0D964D3B22D00C44BD |
SHA-256 | 5AEFA3845852BAA18570FF8A917DE86500431F62D8A77044D5C7859FD78798D2 |
SSDEEP | 1536:crphxeEHzWVfrDxqp9l8Ut96WwFMu8aQHEKmqs2VB4+Gwx9Z:wp/HCVfrDx0l8UtAWwFMu8aQHEKmqs27 |
TLSH | T1BC53B4E5B9140B67FD93FA76609E0291E23083BF525EE102788DC0693F85B945EBD7C8 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-matplotlib/examples/scales/log_test.py |
FileSize | 298 |
MD5 | 0978141B991C47F526F9014FC37589A7 |
SHA-1 | 012455DD4F262C4364F07F5DC4EFD6C5EC9CBABD |
SHA-256 | 07A5712808A73CD9D9246E8D2E8A420C2F09EC839C5C97871C336695C7063898 |
SSDEEP | 6:WSCIXMjcBgGKV7IJlI3KcTVJF/zPvAgVMdYZiKJuvqRE+CdIiVUhtow:tCIXfaGKJITI3VZJZzPnViKtE+eINcw |
TLSH | T11BE0EB0E2E0D172AA34806717C9229F08F72D094BFF60AE1A93719A00D4A31F5F73A30 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/tests/__pycache__/test_tightlayout.cpython-38.opt-1.pyc |
FileSize | 8781 |
MD5 | 2A030B3771BF2953724BB905DA66F22B |
SHA-1 | 012F5FE8FC9C1BDA8E53DE977D99E4F83804DBAD |
SHA-256 | BFC58A03B7E66B063AD5C6112666CAE2BD12AE1AB112A739AB6D186E4B5C0878 |
SSDEEP | 192:PaeWQRwt+Abijby5u0tMds+7sO92VNfbk+c7KZRSxQ:ZWh2ju5ZcoOwVNfo+cmZReQ |
TLSH | T15502758835427F1BFE4AF1B5B04A2921DF7192601BDEF2272D15A05FDFA42D61A913CC |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/bezier.py |
FileSize | 17271 |
MD5 | 63CD5D0D98405B726F346950D3FA5E3C |
SHA-1 | 017914FA67272A0BAFF73753B52AFADD30978C63 |
SHA-256 | 16A6F682A467992DB062311954571D4A7811C61E60FE1167C57F36445A6299E7 |
SSDEEP | 384:CACEy96XvW5OHm6lSnFa9RGOWCojkq9jZ1MV12R+bpzwXrHyfq8XmR:CZ19wvW5OHm6lSRCojFVZ1B+bpzwXzOW |
TLSH | T16C729512A5855B59C283CAA2BAE34412021BCA7733911838BEFDD15D1F4BC74C6F5BED |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/backends/backend_svg.py |
FileSize | 43552 |
MD5 | 99C07A77B64FD2F8AA1D4329ED3974A4 |
SHA-1 | 01EDDA1DB6F5786726A53FDDD9DC2DFA24B94B7F |
SHA-256 | 28674931FF9C5C85BCDACD0C0BDFB03AC9AD11EA3C3F79E9FEE2B4EB3D851A42 |
SSDEEP | 768:qxzXDtRqfUmIIjKg3mqA8IO0djbpG//X/IvA:ANReUGjHm88A3/I4 |
TLSH | T1AD139262AC4309268B53DA2E4CD7E807D32AEB9B5B1C263979AC41495F4513C52FCFF8 |