Key | Value |
---|---|
MD5 | 694EF4A70AD827F62515099A934AA99F |
PackageArch | armv7hl |
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 | 62.13 |
PackageVersion | 3.5.1 |
SHA-1 | 05BDB78DCFCEDB849826E7A1FDC95ADB6E828C7C |
SHA-256 | F4EEA952B9D1E0EDB4352667D65A48BC0F0CD0B41792E0803E4B9F0E28821A88 |
hashlookup:children-total | 1406 |
hashlookup:trust | 50 |
The searched file hash includes 1406 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/packages/python39-matplotlib/examples/shapes_and_collections/fancybox_demo.py |
FileSize | 4608 |
MD5 | A1EC4515A3967187B64794E994A106A9 |
SHA-1 | 0008CDC054D1E85F4CD45A83286C17D50B1E5915 |
SHA-256 | D7445D517148791F30F8635BAB6E0E4C9670E07F1D7C6D4CB17AEF3C80A021C0 |
SSDEEP | 96:HhXqvBP9SgqkrBDFLcZkIKyhJQzUhowDwhFVhzRn6+Aqb90yCbo:BX4tlrVVcZkI7Wdh6+ubo |
TLSH | T1339150462445053D27C76834CAFFAE809615646B0F039ABA7AEDD1B22F19CFDC6D21BC |
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/lib/python3.8/site-packages/matplotlib/backends/__pycache__/__init__.cpython-38.pyc |
FileSize | 220 |
MD5 | 85B014DBEAF1269E65434FD66EDF0E5B |
SHA-1 | 00BD44997F07140A0CD9B9C98A7F52C1DABD49CC |
SHA-256 | CB981E8E22B9DB807D42994F21A408E95CD0F357FEF386CF1A6E56E67B28DB7D |
SSDEEP | 3:UWnpVGllcleh/wZWeRLEwMPUIc3fK6DoUWL3KLP9YAKWMmoWrzs2UqHvGncRkcT2:XbGllUeh/wdww5Ri6qLw9YvLorQXncD6 |
TLSH | T1FFD022009B0682A2FEBEF83831309B2888C4FDF17197011B2A0427241C4A3880C32F10 |
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/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/lib/python3.8/site-packages/mpl_toolkits/tests/__pycache__/test_axisartist_floating_axes.cpython-38.pyc |
FileSize | 3742 |
MD5 | 85035BC48A3A27D158151FE029743661 |
SHA-1 | 01DD86B04DA5338B0711F34A1C4CB585DED765E9 |
SHA-256 | 8E963AA7AD1541E61C57EC1C335FAA38AE16A2E972B507713B133FCE2F6A24E1 |
SSDEEP | 96:IHkdwI87dSshRbluLCAwYbEvkx12sXidCkB:FshRhDVk+i8B |
TLSH | T12F71E98A1C43BE37FF41F5B544AE0A00E97453A90B9B911B6A178B8A2D1D3C9297374E |
Key | Value |
---|---|
FileName | usr/lib/python3.10/site-packages/matplotlib-3.5.2-py3.10.egg-info/requires.txt |
FileSize | 129 |
MD5 | EBB3961F56EBF14735C13653CD9E3411 |
SHA-1 | 020CC76477D41867EAC9269B1ADFB14716CC022F |
SHA-256 | AD54800371E14EC495C691F175808B71CEB816A6483D092DCF277CF3768EFA03 |
SSDEEP | 3:yJy8LJ1OTMNdlFvk/ZdV4STlXKGLwOEmQRmYXmv:j8LJEAiZdS8aGMmEmYXY |
TLSH | T174B09B016464A2540315D548666D411557572D3519A1A15D5470DA51218E7DF418751E |
tar:gname | root |
tar:uname | root |
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 |
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 |