Key | Value |
---|---|
MD5 | F9E3C1CE307A285770A8481B047C084B |
PackageArch | s390x |
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 | python38-matplotlib |
PackageRelease | 4.1 |
PackageVersion | 3.4.3 |
SHA-1 | 3B3B2DE12C3CAA81E982AD69E9204AA413F0A271 |
SHA-256 | B0CA4D5EC3B3597B76DEA0D0B6D4F6802293B877F30AF82D7C4CD0CC5DDF6043 |
hashlookup:children-total | 1408 |
hashlookup:trust | 50 |
The searched file hash includes 1408 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.6/site-packages/matplotlib/tests/test_backend_nbagg.py |
FileSize | 907 |
MD5 | 4EDDAFB3540691BAA2604B1BEA76614E |
SHA-1 | 002B0F6ADC1B5261B2B0002317AF64AD723F622F |
SHA-256 | C9DCC3A956443C935D181A32ACE461915EF707745B1AF0CD2C6C89AA9CF65ED1 |
SHA-512 | 41D5A1D3C5CDF189B6D5E35182978F4C523A8C95A59FE6D61ABED5EB47C4B9E44267D625C858909617EE575BE3FFB3014D821BD928B12B8219F2E6077AD6595B |
SSDEEP | 24:MA09W4yQcZNXchT6fln0qDmfCnf8oUF+3A7hR+BrcbeSB+ejo6:Z0XyQsK6N0Im/F+Q7H+Boez6 |
TLSH | T19B111E0FD844290200CBAB2249802943BBB7C0C31B430967F2DC8E241F8D83F1AB5F26 |
insert-timestamp | 1728992331.8727005 |
mimetype | text/x-python |
source | snap:N5wcyFCjMeVF52rBn3YjxIanpCo5ifFJ_1 |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.9/site-packages/matplotlib/dviread.py |
FileSize | 40669 |
MD5 | BD253A90C6F0D26DBDE6A2972A1CDED1 |
SHA-1 | 003F2A7CB95B95BA868243E5A8430631477A9FBC |
SHA-256 | 50D8BD24E3F9418EA6B3CD5F2691CED6B70F1C09C86ED5E1CB3E303C4B6B232E |
SHA-512 | B4A7A853D59340CFBA33D395AE1BC9B93320E9E925905CD60F6EE5A71EA3090844B0F507D2018959C3F8AE62964C0B187BD8D4E759127606DB7CABCF52B2E879 |
SSDEEP | 768:7fiYj6OzGxaOdT0UEsZ5wMIPWvVSAerKILuzx4lz/n9M2A:7fzj6OzGxaOdT0UES5wMIPmSAerKILuN |
TLSH | T1AF03E727DD451BAAD343886A26ABF557BB0EB85B120D943478FCA1142F4983191FCFF8 |
insert-timestamp | 1703903939.2532647 |
mimetype | text/plain |
source | snap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/mpl_toolkits/tests/__pycache__/test_axisartist_grid_finder.cpython-38.opt-1.pyc |
FileSize | 543 |
MD5 | 7C2D3B3A697D8B51B7BB97C5F2F36087 |
SHA-1 | 0062D02171D60F172329152272B6BB6F5D21E896 |
SHA-256 | ECA165BF9BEE26787764EFA4AD5CEC28CF1F183C300E11F0AE90B0CFD69F8859 |
SSDEEP | 12:LhQvnLcNzOD56hzAtyiR3M/idjmK2xqvN4jo2/:V2cNzOl6xU3M/iNmLQNQx/ |
TLSH | T10CF00EA2CF63C827FCB9B6FCD422402EAA7468D77776C0470704A36818089FC02A3F60 |
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/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 | snap-hashlookup-import/lib/python3.9/site-packages/matplotlib/table.py |
FileSize | 26538 |
MD5 | A86DC37B0AA4A66B171AA7FFC1DDF8D5 |
SHA-1 | 01A215E40AD8217D02329C4422B491AD7DA65718 |
SHA-256 | 35BA64458A02D5C2536BDDABA0644A8595BBD6BF993B2E1308D2598E535E8F97 |
SHA-512 | B0044B29CB497076831E861AD9D1AD6CD60F3944EF311ECD76DC142B8CCBDCFD4450EA5FF4889DD584985F5BA69387893274D087AEED2C9C57164084685568BD |
SSDEEP | 384:Uqpm7FOllwny4FfmKac1dNbOewKRMLLstjU0N2w+9y1k:U0Hwy4JJ1wKEuU08wq |
TLSH | T15FC29616EB016F25E61FE85D85CBA503E72A190B4A2C543C3EFD82680F5183482FDFE9 |
insert-timestamp | 1703903938.906206 |
mimetype | text/x-python |
source | snap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/share/doc/packages/python39-matplotlib/examples/mplot3d/hist3d.py |
FileSize | 825 |
MD5 | D3D1E722792387BF4E0D0B20633938AA |
SHA-1 | 01A223C3D0AB5F21293CE3D834743BEC1B28E700 |
SHA-256 | 4006440EB1F3D5B49E95FDC76BBDEC241582AAFFF521C6B60B7EB9A09FBB6ED2 |
SSDEEP | 12:smY788WXKLvcZJZzPisjCBWu3bFnMyYUcXguBZG/yPhnxb4vggqMEUF2MSf3fzVZ:s0Q0lzPiNbr2HT8yZz/U8PfrPdlvr |
TLSH | T1A601F10CD5EA56BD1D83C064FDD5AA59B7F4C000380B1DE7252BA0550350B79AC7DE6F |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/matplotlib/__pycache__/animation.cpython-38.pyc |
FileSize | 52893 |
MD5 | DA6882DCBC0F59FB4645DB2E2C31327E |
SHA-1 | 01A9F7286818AEC43B6D43A20E9141E14349FAE2 |
SHA-256 | FEBB4CC3857AF60AC501946FC517AC665F7757DC64941CCA1EC0ACCA573ECC5F |
SSDEEP | 1536:1PRNqCo7Fqu08/VpdGU+H30dil8o/hw4sHkS3Tif:15w7EMuby3i |
TLSH | T13033188775930A2BFF52F3B2902D5340EA38532B63A8515E34AC910D3F491985BBA7F8 |
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/packages/python39-matplotlib/examples/subplots_axes_and_figures/multiple_figs_demo.py |
FileSize | 1343 |
MD5 | 700CD5C210F9C0F8DFE28697DB03BF39 |
SHA-1 | 02253DDF6C51575C451C4B4A8C2EFDD97964B375 |
SHA-256 | 89A6F744FF2B328571AA17ACF24E8AEB2E8435832D73F06C6166D8802DDFE40A |
SSDEEP | 24:Gh5C/nTzdRqQoA3GklzP1KPTiekWcIRBp3HDsnIm9R:z/l4QoA3GwTekWZXDS |
TLSH | T1CC211F1B135B03BB8FC201F0FED128793AE212AEAE57861D01EF1C8017D238E8E6214D |