Key | Value |
---|---|
MD5 | 4B22A32A74F5880D15302C86735A897B |
PackageArch | ppc64 |
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, web application servers, and six graphical user interface toolkits. Matplotlib tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc, with just a few lines of code. |
PackageMaintainer | Koji |
PackageName | python-matplotlib |
PackageRelease | 4.fc18 |
PackageVersion | 1.2.0 |
SHA-1 | 548FD7CAD4F2AA5C2587213E1DB763370E886945 |
SHA-256 | DCD1D75ACA707D0C68FB7C9A03AA4622212EE6F82F2EA55AF285E7AF08C38945 |
hashlookup:children-total | 1682 |
hashlookup:trust | 50 |
The searched file hash includes 1682 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/matplotlib/tests/baseline_images/test_mathtext/mathtext_stix_10.png |
FileSize | 796 |
MD5 | 9B0168E1AC3E4932F06C283D9E2DD741 |
SHA-1 | 0061B25255BF93B4BFC00178A18D1CF5DCCBA0E9 |
SHA-256 | 7A8FFB39F160DBFCF493438F0CC6683E7FCE30AEA54D3A0F9EE2B0866C0B091C |
SSDEEP | 12:6v/7ManjZkXqqEjWvq9jB+eqUL5DipmUVwAN9BIGuv6XX:GjuZEjWvq9oMMp1VwAN9BE6H |
TLSH | T1AE01226D0644FF3885C6CC5EF951883F752DCC668A7724A898E99F5D71106007D33522 |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/matplotlib/tests/baseline_images/test_axes/formatter_ticker_003.png |
FileSize | 16349 |
MD5 | CA9712FD0D709597EC15F286CA0EA10A |
SHA-1 | 006FACB6B773D22728E3ACB710EDC83151838BE1 |
SHA-256 | 1B6FED63531516CFB8B30C9BA9945F0D15D4FD93AC0753A8203299B6D6A4DBE2 |
SSDEEP | 384:PxfVUlAMuhU1A48Vc91Sh5oNBsyreJklI86yRHHunoBwodNNNNe:pfulAMuhU1zwo1MesyyklI3QZo |
TLSH | T1F472AF8164E8DEDCC97C7D24BABE7ED2A9D505390720F688F48247426B75A04940ECAD |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/matplotlib/tests/baseline_images/test_mathtext/mathtext_stix_11.png |
FileSize | 765 |
MD5 | 4C037599905D93D06E3842EF4BA07051 |
SHA-1 | 0080E5FB382EFB7A44196B8B29CC3826D782EFD3 |
SHA-256 | 00EA622BADCD31A8A0863A870B03BAE13594166BD40F2ABCB7F0ACB4F4C5B0BB |
SSDEEP | 12:6v/7ManjZkH4A3SgqOd/B8Eul2d35XyCh4MKMswNVeOk:GjAmO9o2bi3MKMswNVeOk |
TLSH | T15D01687D954AAE3540D6C45DF9A0807EA81EC88AC37704EC4CF29E2A7008B107DB317B |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/mpl_toolkits/axisartist/axislines.pyo |
FileSize | 29037 |
MD5 | EECA6E4D78D5277F2B7AAC7044A954F2 |
SHA-1 | 00A6D2FA07EF03CD2BA9F3C616DB881D8AC07335 |
SHA-256 | 5D67A831BA5843DEB28C6484415A230E0991AB3FD25B6CAEE7CC235628D97FA4 |
SSDEEP | 768:iqnH2wOrdnEQlDSiKU4PZlJDwEZhjW2n2FDGSj8+HH4:FngrdnEQdt14PZlp/ZLn2FC2X4 |
TLSH | T142D25381F3A6495BD9A111B090F00E066FB8F0BB1611776172BCD97E2B8CB79C52B7D2 |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/matplotlib/tests/baseline_images/test_backend_pgf/pgf_rcupdate1.pdf |
FileSize | 9759 |
MD5 | F011EF9712344A1F32CC8A8E5506C1B5 |
SHA-1 | 00E7FEE388310E2557FD77C0C403D417D054DBB8 |
SHA-256 | 4B7AAF29E8BB79BA08232D695C337DFD93C6B6FE0DEC65E5D419501689789680 |
SSDEEP | 192:09xuzYRnaMPOcZqQYKVGIDfseJiDa17UNxEg5Usx:09thcsqBAGQlJiDhNxEg1 |
TLSH | T172129E579A165009D9C39C64FD0C7585F9E893EB060E3CBE0DA2CF8ECD49D6CD220AB9 |
tar:gname | wheel |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/matplotlib/tests/baseline_images/test_mathtext/mathfont_cm_52.png |
FileSize | 1645 |
MD5 | BE241F4F4AF50EF225DE58FB996A8A8E |
SHA-1 | 010B25D4E7F35F1D68610CE22870E4AC00E46E24 |
SHA-256 | 8A9906D2A4375A9A9540C18BBA64C04A8EF5DCD85F9767BBE9D34634A057E258 |
SSDEEP | 48:s6RbCxyErM3mheG7RK7oxPe+oPgx/LIGCv:JRbCxyqTRqoJeZgiGCv |
TLSH | T11E31A6BB91884EA3A03E49FC1633D15C5339C0D086F1E5A897E22B3F945EA246C34D3A |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/matplotlib/tests/baseline_images/test_mathtext/mathfont_stix_06.png |
FileSize | 1609 |
MD5 | DB37159C3B3A892F5206EE1D6C4025B2 |
SHA-1 | 013DA63D1EBA01380F2689B06A6043F254A7802B |
SHA-256 | 22B25771821FB9D13488E1D9C8D88D8AE9ACCAFA1425BA2D3E07F0F8605C09DC |
SSDEEP | 24:GjZ2/0kE5IlGn97an1mu+YCBbiD7DxpdOT37COI8vw18DdLyVgEpgu6X+N:s+qguqD+YSb4dpkTLCOHw62VgEU+N |
TLSH | T1313184C6B7454627FC300A41F849552725891FA529C6C26AFDE43BE6B17AF7F8C281C0 |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/matplotlib/tests/test_cbook.pyo |
FileSize | 4074 |
MD5 | E323AD3154A1787B2EA8568A920D904D |
SHA-1 | 0190D6ECDAD84DDA2CF8EED1546BA4614B1EA147 |
SHA-256 | A4A74C1C44A7E3F8B104C0FCB2B521527748813D4B5C342DE1D22B1939C5A437 |
SSDEEP | 48:rRtfCVRgGX0MG5N1CiaRMQwTem1IHdShpUPxg/mVjGCyK5Mz5MkWUQMLtemASbMs:FERgG2Pham4e4VDyB/WAtmXZxdmSq |
TLSH | T10281BE40B7E659CBC6A1047891B0931BEEB6F4B77B11678643ADA4383DC936DCC6B384 |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/matplotlib/tests/baseline_images/test_axes/autoscale_tiny_range.svg |
FileSize | 24945 |
MD5 | 640256BEE137093D51041F2A82387A4A |
SHA-1 | 01B77139328E9C95C71FEAC8C08B29FE8E1BBF4C |
SHA-256 | 6A348BA1CB10CBEF82156AA2CA9D03C3AEF79094C0A8CC4F0E48D426CA83A9B7 |
SSDEEP | 768:VO46l2lx+L3F2UjP/3lrUlKL6Zmj/Ui2rUbC4wJidMCq6+8X5fv13qDEadCjzt8v:F |
TLSH | T17DB25AA982FF4926826FE55DC383F686CE333B43636A2906701D47766F179A209271CD |
tar:gname | wheel |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python2.7/site-packages/matplotlib/tests/baseline_images/test_mathtext/mathtext_stix_08.svg |
FileSize | 5984 |
MD5 | 50669F19E93B2234F9BB153785ABE697 |
SHA-1 | 01DB07B98BA7AF83B56BDDDD32932F91AFC39A41 |
SHA-256 | 6D19D23BDD863205A174FA03EDDC52178E6974EC5DC2566DEA7E48D954CB1B5D |
SSDEEP | 96:VLTsKHQzbUC2TUII+2aLI7ObvhHkw1X0wAIncRJlPMO866TiYGJlfN9u+qLK22bS:VMKcOfLR5Ew1krbm+v11PH/S |
TLSH | T1C2C1E5AA5039C2D0F014FBBC59B6F9B8AD231AF234D03636C3B36D41576E204575A8C3 |
tar:gname | wheel |
tar:uname | root |