Key | Value |
---|---|
MD5 | 0941E36B2651227111B83F3E9FE50931 |
PackageArch | i586 |
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 | 5285B93FB6AE7C8518CD35A735A5624909EAACE6 |
SHA-256 | DA41201A6B42DDDAE0E879176C763077D8C639A2E47C2FD5A03FF9453D411F90 |
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 |
---|---|
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/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/lib/python3.8/site-packages/matplotlib/tests/__pycache__/test_backend_svg.cpython-38.opt-1.pyc |
FileSize | 6391 |
MD5 | 44229CDBFBB462391B03A0B03A1C1BA7 |
SHA-1 | 0159C1D48BF7B5F0A23C9953296787098C997BE9 |
SHA-256 | 74F4B1C2C389390334333A7F29A15F37D88CC3E148C36AE987C9474FD3AF6A77 |
SSDEEP | 96:g8ZZN9P1Lsz03vL7Yemg6ykX4+ckmE3SpraG7zWFw+sUzd9acrYLS8:pNV6z03f6gVr+rjiWGvgxwLS8 |
TLSH | T14AD1CAA044129E3EFDD8F2BDA45E09D0A930E3AE1745F4175E51F1871ED95CB186138E |
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 |
Key | Value |
---|---|
FileName | ./usr/share/doc/packages/python3-matplotlib/examples/statistics/README.txt |
FileSize | 48 |
MD5 | CE0013D2E022B18E42317C42A9B43DAF |
SHA-1 | 02225D578882E50D3A9BC85CACC6EEDA185B9A64 |
SHA-256 | 091231AA6017AAE5F3CDD4C232B81F74301917E803EC76BF9B0EE647BE7C5D51 |
SSDEEP | 3:oWR4MW9W6JoRjjHWASYu:oWsWKOjjHW0u |
TLSH | |
tar:gname | bin |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-matplotlib-doc/html/_downloads/0867280b02d70f637e2e01d38a19e521/print_stdout_sgskip.py |
FileSize | 257 |
MD5 | C6F18984EB4EF606F97961D3A29988E0 |
SHA-1 | 0249487EEDCEA6C89C16FBEA01DA3F5E1831C3AE |
SHA-256 | 3F9915E5DF1CB21118E1B31705F7CC766CB6057A284E3241B8DB664FC001E6C5 |
SSDEEP | 6:n11Y2KoN3RvQjIzmNE38HBDVt7zfBuyVJF/4XOLPI5u:nX5zr8HDt7zfEGJZ4XOLV |
TLSH | T118D0A7D73F19070467EA64C6F8903C301917F01D5F90B52D535B17E9674A70CC521362 |
tar:gname | bin |
tar:uname | root |