plopp/__init__.py,sha256=00uaxtrnwfex7jnh_1tNSthfdwYLlkdklMdvF08OYhY,1453
plopp/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
plopp/utils.py,sha256=YPcwwMN949UhUR2d-deHJ_-URI1PPRQmVxcNS-ZgyPY,700
plopp/backends/__init__.py,sha256=XvSD58Tj5WBrrOjkePcCrRW6RbbyrvhhWI_S8-AR92U,107
plopp/backends/common.py,sha256=IzMt6npG6mAobMYk6b5KkkuxkLQPdmfsV9yyCZwkUHc,3275
plopp/backends/manager.py,sha256=iMzDz3JlHKWXIN-rWubXgQBkDOD8jgjC0Vg8IkEr_yo,4511
plopp/backends/matplotlib/__init__.py,sha256=9OKi67a6L7QleBcC6HrR1bAubddyTcNuM-fATe9odpk,2068
plopp/backends/matplotlib/canvas.py,sha256=A6FQWjQI4enWDPtXcsPUKs9oySPY-A2V8B_jPr3NnyA,18030
plopp/backends/matplotlib/figure.py,sha256=mlmf9P3UDcQD1rAq1c4hMuDUUKSNf-TxhXE2S8AB78I,1470
plopp/backends/matplotlib/image.py,sha256=HcKhiMg6XNwCCepzdJ_W3-Ph4vfzg5sIY9S1cVREVb0,6603
plopp/backends/matplotlib/interactive.py,sha256=UR-xbbcE77PKwtN3iqMHYvaKWdooap2yp0GO4TjvgdA,940
plopp/backends/matplotlib/line.py,sha256=MHQ344gLn7qeSNp-3QXr7fA5Lrch0YGtP3UFgFjKdVE,7403
plopp/backends/matplotlib/scatter.py,sha256=M7i_QWDdMsyFqbfOdJTn3MN-9dLongu_HDupXNCURg8,3934
plopp/backends/matplotlib/static.py,sha256=2SZQn8dULXNSGkOALiGkcmESMJFVs1TjjoJxhHI7y9E,1780
plopp/backends/matplotlib/tiled.py,sha256=2E1iW6nekYtZINEBKuHljd9nWdkgMA6q8C5vxnP0XLI,6160
plopp/backends/matplotlib/utils.py,sha256=g46gMhKcAbVzEIRYtiqwp-A6WZSnOkBJ5S5BABEcTpQ,4060
plopp/backends/plotly/__init__.py,sha256=DyOZUtgTxEDdSxpTh3HzCRPKYBYLgyNK5vyWolOFfKQ,934
plopp/backends/plotly/canvas.py,sha256=LbzdVE88g2uQJ3PDYpx3IxFnJ886HpqXdDF6qn6dOOI,11005
plopp/backends/plotly/figure.py,sha256=04ep7DAVvwY_4VeaJes_FDJqJXFgVmLmd3cOZBrXxm4,863
plopp/backends/plotly/line.py,sha256=MyTyfy_cg187fIKVb9JFRIQiqh05_lXX6da7OIoNEEQ,7613
plopp/backends/pythreejs/__init__.py,sha256=MMBr4lxB_fcjMwt0nJ8kqS5SLnqqKN80UQeDDIwT7To,973
plopp/backends/pythreejs/canvas.py,sha256=LPlQxT0lI18YpAiU3OtUaq2IZYwRHK7UCXwXFEi3DQQ,8756
plopp/backends/pythreejs/figure.py,sha256=0AO0emZMpODt_1wReFe6T50tz_Y0Ybj20xsSitXQ4cM,2006
plopp/backends/pythreejs/outline.py,sha256=WUqtUj8GMAUzUqOocFjdT8F7WBeV9jgMSYmXD157igI,4913
plopp/backends/pythreejs/point_cloud.py,sha256=EwY3mhYURAVYPtiIaZ1D8rwJgjtcA82v1qIOlWe2MkU,5085
plopp/core/__init__.py,sha256=3VRkoEAwKd7HFh6he04uUmf010S5uDUgxTtMlTQZpyY,288
plopp/core/graph.py,sha256=Mn6pFxIm9xKcy0Ev92J8akPQWALrAbD1HM2YUnaklHY,3835
plopp/core/helpers.py,sha256=oPr_KhVYoadgIpzFVt35AJ00yLzXWUvGJCXrIOWAGaM,1506
plopp/core/limits.py,sha256=dMJbudm6LSLBcRWrP1vgRu7l9eRi3r5_fauMuqFztxs,2814
plopp/core/node.py,sha256=5SnVELRZSzcTD1ku8hDkWygCWsDMpedvcyYGZV-CHlw,7462
plopp/core/typing.py,sha256=c9VI0nugDYJgckrgoEnb1pfc8oI725MOXzPvAIhHzG0,2935
plopp/core/utils.py,sha256=P9ODfOGEoFLh65ooMrAfr78DxEkQC0kpm0nSEg7RmII,7059
plopp/core/view.py,sha256=T9MFTZOzs3A02D6GKb7j3QG8KCveoxg0rSxI8HJlR6k,1993
plopp/data/__init__.py,sha256=sOTLyBuiH-dxmpiVsZxd7L7YTkFMfAQUvah1g04AiQk,581
plopp/data/examples.py,sha256=89HEO-0vFXziItvKX-nsL5-jXIZ1tPGg8eoTh9htQms,3217
plopp/data/factory.py,sha256=let5B7dshXMmmQiYp7Y80q5Xc3eyAY-Tmmz6BwITPJE,6739
plopp/data/testing.py,sha256=g1PT5o7omwucdtRp37ep1fjr__kVBjpMkP4fz5xC2So,430
plopp/graphics/__init__.py,sha256=RHG_S10s3u4LANloxmaSNooKweOgH1s77sj61_cqj5Q,752
plopp/graphics/basefig.py,sha256=vuN4xZln_I7WUrrLwYmiOeTJhAm7QrSt6GA-qy8uZgo,776
plopp/graphics/camera.py,sha256=n7T6mrtA6lhgCgMnCEs8y7ClGT-qw2bC7vQQGci9x7o,5295
plopp/graphics/colormapper.py,sha256=FOR2qSbCRBSM1ZV9rFktQF-dUpdjHPjLGsTvEC7Hxwg,10359
plopp/graphics/figure.py,sha256=txc-nA-Ehg7Ly53u36vSNTX8x72eWoR0h7uuv1-6b7Q,3561
plopp/graphics/graphicalview.py,sha256=BklrM3ImmfXzMZA0sa_N2ZLs1sC_644NmR6V2Am28hU,3595
plopp/graphics/imageview.py,sha256=-zyWcpN0JhCSecBk-Z8QLYbFV_XyepayvdNKIOWm9dM,4782
plopp/graphics/lineview.py,sha256=eXrX3NWay5sD6JgEOAHlefgrFGta5PxvRP1ilXzc-Pc,4913
plopp/graphics/scatter3dview.py,sha256=b2brujrgj8cTPT--M7JT8-XPHfU69Wi8p6z6pi5e7Cs,6925
plopp/graphics/scatterview.py,sha256=JHMNWtlGWPT7xK8IFtQv0DdKNbAGLj8w5jomKtN7ihI,3195
plopp/graphics/tiled.py,sha256=yi9D6fEhdBqteWml_ZdmY7XKrDvoguGn5MjBzTTt4KM,1362
plopp/plotting/__init__.py,sha256=nEictTG9OHY2U1xf1JPpgGmiHH46lDJIkeevvcU7mXg,434
plopp/plotting/common.py,sha256=IZSdWCYb4qRU3GWefhxovw9Dfy3tR4WmbWnt4cUG0rM,7960
plopp/plotting/inspector.py,sha256=0Ne_G999htdbyYeVTYCJEuBTeWQJHznXrDLxzGxwDJ4,3500
plopp/plotting/plot.py,sha256=E61660Q05pzg32aywKZdR0SoawGF3_xOV-PuIldTjBU,4277
plopp/plotting/scatter.py,sha256=bETORAdSEFPyaCVM_rcz5OeR8yB4SA6wNQ_evra7tG4,2912
plopp/plotting/scatter3d.py,sha256=loy9bzWHhm-e9hwnHwvaA-F-3xWj-_Ye-Xb8ZzvW3QY,3776
plopp/plotting/slicer.py,sha256=1Vvgher-zz7Nin58XOEzjTYQDoDjQto0PN4RK4-zGrY,7071
plopp/plotting/superplot.py,sha256=pHudkSoFnVkMnZBTC0p0DO3bETTwc1F6OSlt6Bj29lU,1509
plopp/plotting/xyplot.py,sha256=t_0GC2TlC6QZPKN4tfgLRUUBDhJ5zoNJjsRyYxLX_xI,1448
plopp/widgets/__init__.py,sha256=cczY6hlnWzGm2asO_IiHtHOsH36h8in83hbrphgVMeY,920
plopp/widgets/box.py,sha256=v5Gd3sY0WXcc3UfkcXxZboPG02sfOMXIo50tmpxPwVs,1806
plopp/widgets/checkboxes.py,sha256=KeeskJP73NAs-38XI0g3KPkzxB3FPOcmetLoZGc2ge4,2166
plopp/widgets/clip3d.py,sha256=7z0nTWDzNKPP89jDYMvEepo4f6AkTiIZFghUzwQ_tt0,13989
plopp/widgets/cut3d.py,sha256=ezHsSFOOsmLQkvtKtXcfV6fXXfG7Oe5Yo3lr7oI6HbU,10231
plopp/widgets/debounce.py,sha256=V5aIcnb465oqXZX-UG_DR7GjvoG6D_C2jjEUBmguGDA,1292
plopp/widgets/drawing.py,sha256=RZpsO_2OEP7TZHgbOLICMsX1S1ERaCBlJqGmsRqHutM,5685
plopp/widgets/linesave.py,sha256=MSFNROOr4w8_-eGCg6Afy9puPfndvObwHNLOZQEg98c,2453
plopp/widgets/slice.py,sha256=cd-DOs03xdNolajOaDdpjyo6Kcyti5yDGWea0z5qhB8,4626
plopp/widgets/style.py,sha256=Fw4S8te0xDyT8-kWu4Ut35aLgyr98qMlWZRbXbd1-dk,184
plopp/widgets/toolbar.py,sha256=frFHvG4ial0a5Em4gZ4U4w5GiUAn_P6c0qACDMClpb8,3920
plopp/widgets/tools.py,sha256=6Nh_OR4kO9KpJGArdPv-odZl-vws3vVgwnhm30_ePK4,7078
plopp-24.5.0.dist-info/LICENSE,sha256=nVEiume4Qj6jMYfSRjHTM2jtJ4FGu0g-5Sdh7osfEYw,1553
plopp-24.5.0.dist-info/METADATA,sha256=5GfT1tNdkJ799d7bpwyiYxwA-UfRwWwUCxKhdY88qhU,3823
plopp-24.5.0.dist-info/WHEEL,sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ,92
plopp-24.5.0.dist-info/top_level.txt,sha256=Lk_GLFh37eX-3PO3c6bPkDpir7GjJmbQHYza3IpIphc,6
plopp-24.5.0.dist-info/RECORD,,
