glue_plotly/__init__.py,sha256=r0Weg_ZuhJpJxAFp_vngdUkYPybUW0QG1wvVeswNNHM,3677
glue_plotly/conftest.py,sha256=k4j1jQVF36kGUJClMD51tqZA9AkUXuhhy40JlEBH_dI,76
glue_plotly/export_dialog.py,sha256=aj6fFt7jq02VW01_HE4GZW2ztMrtJYfY68nvegY9KKA,1084
glue_plotly/jupyter_base_export_tool.py,sha256=qVS_tNzaH5J8aqoUL9Cn4iGt0Ze62OnGaJmKnQB93l4,3066
glue_plotly/logo.png,sha256=HyTyjcuXIW4FrbY92vy_fdqxYHrZcOshsx5EsKNkOaU,7075
glue_plotly/logo.svg,sha256=bTipbdQLwB9sUNhrJFO64KZYxa4MyaLTgAyc9aSyfKA,3653
glue_plotly/save_hover.py,sha256=k13OFEdkvvo8liDvE2mSnWKRygrmFdWF6ARYXQQ9Oqk,5455
glue_plotly/save_hover.ui,sha256=a9IurYcJI2zVBmz7LFJBd1vOSzrUinLvxC6OErIZcAI,4304
glue_plotly/sort_components.py,sha256=zPs7n6DjU84ZKao1dSZj_QlCz7Th9ZI_SRRMuLBAEGs,3103
glue_plotly/sort_components.ui,sha256=OW0O--QXqPmSTJsBWJYW5dt0ak5MYr1CNHGvspHyd9Y,3836
glue_plotly/utils.py,sha256=IYfmKfgZH4JY6jw_7RtQ3jJlCbilJP0g8hbzXojZK-8,3541
glue_plotly/volume_options.py,sha256=oNfx4Aw_XC5syXAl4x_viIEfd5cIUCmvanD2BYywG_M,2021
glue_plotly/volume_options.ui,sha256=lKe50VQlp2WVzoLnI3s2n0i3UY6CScGtp7SurWuqtuA,2089
glue_plotly/common/__init__.py,sha256=Swm-dt_oKmm1H-JIAnG7_58VWktDSffNZ69jQ1YOG1k,127
glue_plotly/common/base_3d.py,sha256=QvtGfm-aa_lg_PexOYBMkECmCMA6K3Pz0NHC4GVro9s,4613
glue_plotly/common/common.py,sha256=3z5ssYk4sx7G96O9V9c-yrqUVR-zsakBWjnZMyqMFi4,4660
glue_plotly/common/dendrogram.py,sha256=O6AFy0AQgmD-K77ktIuwQ5jFyETsf0SyxR2xM4ClO_o,1072
glue_plotly/common/dotplot.py,sha256=mn0e0At78_3rS97Zgx12OiEKpeUOzFpblZVnnXhAQT0,1676
glue_plotly/common/histogram.py,sha256=nXVheSNrpqxUwNJyuFhLbx4CY031yL8TVdSt9XPap34,2476
glue_plotly/common/image.py,sha256=uWpA-8ejtI6NnOJqTmGdwVTHjvNldCNLl-vWUNv7ixc,14901
glue_plotly/common/profile.py,sha256=1xbb4ylVQRsxsMNvo0M-p_domxXukzFlUWeDH_pVANM,914
glue_plotly/common/scatter2d.py,sha256=SKCCnjPIH3GmTMLoa5A2njj92AgQR19vkMbsPEnnVC0,12906
glue_plotly/common/scatter3d.py,sha256=QNdEXqlBQybRuPxKEkCirvdnH_cxqxT_jkWlwYchftk,6010
glue_plotly/common/volume.py,sha256=7zHqOmHKPZGHpjPLmIwGVYU7cjioqxpVeFBwJwKMmTE,3528
glue_plotly/common/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glue_plotly/common/tests/test_dendrogram.py,sha256=XRKUbaOmpNzVUXq5YE9s41pSMco2ZzWThguZUK7X6S4,3135
glue_plotly/common/tests/test_dotplot.py,sha256=RfqtRa6ST1Ts3ukVHoSCExBhfGg0BOPt5_STr4jr1Tw,3522
glue_plotly/common/tests/test_histogram.py,sha256=WBIrJSbGULuezOXliVqOp2XLqouWmWVkBBFFfUXLNhU,4460
glue_plotly/common/tests/test_profile.py,sha256=vVt2zPkK-EHhVxu0RIqFoB89guXinXsdPhbDHjh_ShM,4465
glue_plotly/common/tests/test_scatter2d.py,sha256=PVifKmIKLFNFkgsY5BwYNS_9BF0PvS-296U4-jIRKXk,9846
glue_plotly/common/tests/utils.py,sha256=6emJwoRIkaXTX7ajxe6Is9HGzCSRrK3hN9Uz0KQNzNM,570
glue_plotly/html_exporters/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glue_plotly/html_exporters/jupyter/__init__.py,sha256=eNUPqtcDOgWIahTgheeUcXQUM2cwzHyzP7bYDkiyZiE,182
glue_plotly/html_exporters/jupyter/histogram.py,sha256=Elty6bHXim9IvcedJIgMsdACGzrTq5dNCVeQ2l8yCQA,964
glue_plotly/html_exporters/jupyter/image.py,sha256=qp-Qe5Rz5xx-_0oVwo9zsa7xqxmrFnMSWxMqq4V6cBM,1454
glue_plotly/html_exporters/jupyter/profile.py,sha256=HSMlv5M44GQl4CCpL_Eb1wOics3zCrUlGhByCZGYaM8,950
glue_plotly/html_exporters/jupyter/scatter2d.py,sha256=fwMsDEnxrSiV20FZpeXRrwrNcafBDUrnSCniJd9FXQ4,967
glue_plotly/html_exporters/jupyter/scatter3d.py,sha256=XscRL9LRxrDzW2D2Ywm91Gl7fciojwXbQkAKFjMxxfc,1067
glue_plotly/html_exporters/jupyter/volume.py,sha256=-qkrFzneXs0F-C5tVxVl3mUkBD4sgnReuF02F_pGRvU,1675
glue_plotly/html_exporters/jupyter/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glue_plotly/html_exporters/jupyter/tests/test_base.py,sha256=9QtmYkHMyxlLLQlT9Usva6T_HNJIbyVgt4w-1DnbMgM,707
glue_plotly/html_exporters/jupyter/tests/test_histogram.py,sha256=RDdpeWeP1BXp-RPMm5yCycevpXu6IX0Ff37cPesfwbQ,719
glue_plotly/html_exporters/jupyter/tests/test_image.py,sha256=dIN0vvv1YvzPVi2M07278kFHSGAohz84vkSEdr4Mjrw,659
glue_plotly/html_exporters/jupyter/tests/test_ipyvolume_scatter3d.py,sha256=SdE7gHocXRBTIkwnbUQXzAoet9aanvxH3wHJBSM-X1U,639
glue_plotly/html_exporters/jupyter/tests/test_ipyvolume_volume.py,sha256=Pgv-9-gHDsqttYBX1MoIj2rVlPSPQMZyy199nm-YmFc,789
glue_plotly/html_exporters/jupyter/tests/test_profile.py,sha256=qKfUjU26gzFkEGQh14-JjnmDCIqLke9js6PhFEpqj7k,714
glue_plotly/html_exporters/jupyter/tests/test_scatter2d.py,sha256=icfjEtt0dBPIFysU0UliUV9lzvA6NTYlzsi_HnAJOTU,605
glue_plotly/html_exporters/jupyter/tests/test_vispy_scatter3d.py,sha256=DBO78Mj4CxoR-puh45ffoVcxTsfyGkro_wcz3Ane6PA,696
glue_plotly/html_exporters/jupyter/tests/test_vispy_volume.py,sha256=fxAGLGCnAXbQ5R6Lds6FucNWmnJBEFzVUnuuNfvYMmQ,845
glue_plotly/html_exporters/qt/__init__.py,sha256=fGF8WH5Ui7TRWKy92tUeUMcVoOARCX35yEYPX7-oiDU,280
glue_plotly/html_exporters/qt/dendrogram.py,sha256=clcfeobbBfNVmqsrbY97JU3ZJ08_v79TayKOuy5Mucw,1298
glue_plotly/html_exporters/qt/histogram.py,sha256=2l7yDb00f_9KWFfQXPBGLEB4MU3lAmlH4mmElmU2MNc,1412
glue_plotly/html_exporters/qt/image.py,sha256=GMqyHbjbZr2u1Rf94T9T9CyUbIgeLbUT_LrN41LfTes,3423
glue_plotly/html_exporters/qt/options_state.py,sha256=w6pRDkgHSXzz9llddKguzW4TBmbXGk890hEwQEMhExA,874
glue_plotly/html_exporters/qt/profile.py,sha256=WHy5GpsnlftSUS1ingDuGi_129KoojCflAMfrjUp8iY,1297
glue_plotly/html_exporters/qt/scatter2d.py,sha256=0phgyGHsOCrk76FPGFaPmpqmbcKBo2svqv464gbthp4,3690
glue_plotly/html_exporters/qt/scatter3d.py,sha256=HQicCiGBOFzOcYJ6Va8uV3OGBh43WFN_8BxYyttXvJg,3555
glue_plotly/html_exporters/qt/table.py,sha256=xDgtpi-4UHhPsCrkFFhetublc2hokDbVmg1OtXnxvYM,4954
glue_plotly/html_exporters/qt/utils.py,sha256=bTOxtv_zjYkH3NeXfWe6cwf_aplgkbP-8nPWl8E3oL4,2236
glue_plotly/html_exporters/qt/volume.py,sha256=h3Kc3kB0PiOm42fxa0zxC_1QuE5VQNyZVJZB1-4JeSU,2708
glue_plotly/html_exporters/qt/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glue_plotly/html_exporters/qt/tests/test_base.py,sha256=racHBDp4KaFZc_8umloy2oDYn9sChCX6E5yxs5igzuI,1989
glue_plotly/html_exporters/qt/tests/test_dendrogram.py,sha256=RNest2AKs5D2r_F5h1jYMNpmxfC3TF14tH8vyBclplk,883
glue_plotly/html_exporters/qt/tests/test_histogram.py,sha256=9Ydx3g-Y7cyFJN1WwViXUT1Zwf46ckzYvqm-zZDZt8I,770
glue_plotly/html_exporters/qt/tests/test_image.py,sha256=7XvnJBzB1OJtqOuPYavuMpcZTy9M7YIxSzgwAYRrh-I,621
glue_plotly/html_exporters/qt/tests/test_profile.py,sha256=jMVLEYto5MRrsejjqFQSekdQgWeAgdkWwohj6WAGxHY,805
glue_plotly/html_exporters/qt/tests/test_scatter2d.py,sha256=SMj48TllR8LyhU0_iYmew92UyurQgISq3BgADzN6NUY,1133
glue_plotly/html_exporters/qt/tests/test_scatter3d.py,sha256=2pIZ7pZVbICLEa8RxOSeBdt2l7wpVx2dRQqmTXHVpYc,586
glue_plotly/html_exporters/qt/tests/test_table.py,sha256=GWXuy7FxmGjKBnx-ZQQyheHMozAers_8QjYAaVdcrEw,879
glue_plotly/html_exporters/qt/tests/test_volume.py,sha256=UKp-ZYpBl2f0qiMKKbz7HHMgILeA4grgO-OXSYijecA,776
glue_plotly/viewers/__init__.py,sha256=0a_JfV73Ebk6REhefUeWIAIFsYl42DQGj6ZO9XKLhm0,30
glue_plotly/viewers/common/__init__.py,sha256=Olo7qSymckbLtKM4XtRqlmmTrDbeCCU_ctFuxDCSYJU,59
glue_plotly/viewers/common/tools.py,sha256=vGdGcG7jPXfAQOgtmHcg3nk42d6KI8raOrnnRTm3-tc,8595
glue_plotly/viewers/common/viewer.py,sha256=FIDuVs2P8kRh5PV6LRPiSw7EXo-JGWOTHSrzNQpNksY,7331
glue_plotly/viewers/common/tests/__init__.py,sha256=yW1lVPsj8u71s-yZ1FROBJc9cnwBzcNiptoggHCx33s,59
glue_plotly/viewers/common/tests/base_viewer_tests.py,sha256=g0QB5OahtushWRBt4ZX9YNhPdkIePddAfxvkRZDfCdU,1906
glue_plotly/viewers/common/tests/test_tools.py,sha256=isqEXVsYqySsNoYFHkhTeug8ESHXT9wO-F_V7qCVYcU,3808
glue_plotly/viewers/common/tests/utils.py,sha256=jkihyVTTq4UtNP2XjBICtvPwBipjmGl8Lzv2I9G8Jos,1179
glue_plotly/viewers/histogram/__init__.py,sha256=r8J2MfXfhYEx70qzkD310EBcxqIlvrBk4NgoVlLoLB8,66
glue_plotly/viewers/histogram/dotplot_layer_artist.py,sha256=4vTTCe1Dt-4GnsXezvyARQdL4MYsS5jjdA5J86ZCj4g,6196
glue_plotly/viewers/histogram/layer_artist.py,sha256=y9NG6iFUSFtJo6pxYj8GBeE444OIW2lWFj1xaF8XvII,5859
glue_plotly/viewers/histogram/state.py,sha256=Qc_sW2dC0q55p1LjkQUia0PM9opMMz7p07qrt8QKFVg,725
glue_plotly/viewers/histogram/viewer.py,sha256=xpZboDLCVNTBEPOg-ar3J3oQ4AKjGaElIn2KkPR_FCg,3148
glue_plotly/viewers/histogram/viewer_state_widget.py,sha256=m6GZ0AvFu0gfsial9N4Zmbb3uSm0kq8ZOMzz9fYbsqE,219
glue_plotly/viewers/histogram/viewer_state_widget.vue,sha256=3BxFlKq8sqyI0a_nmlC1gZFk2Gz3WE2M-yuiHYk8XEE,1901
glue_plotly/viewers/histogram/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glue_plotly/viewers/histogram/tests/test_viewer.py,sha256=NaYftCFTtAM4VX_5Q058JFhkb36z-Z6Bd1GEtHLyNHw,2906
glue_plotly/viewers/scatter/__init__.py,sha256=r8J2MfXfhYEx70qzkD310EBcxqIlvrBk4NgoVlLoLB8,66
glue_plotly/viewers/scatter/layer_artist.py,sha256=wtseCnlrWYwMlvWB1THkFlo4ElXDieBKhboySKah5-U,10194
glue_plotly/viewers/scatter/viewer.py,sha256=aWSkA68kq3S-XD66iMus1m1rvwmr0C2Ye4Ix4XiO1ns,2865
glue_plotly/viewers/scatter/viewer_state_widget.py,sha256=KWEuyjdr4bWKp6jHaHMi4EmddnjYHxasNutfeY7AyTk,211
glue_plotly/viewers/scatter/viewer_state_widget.vue,sha256=LCj7X923wDz82828Foaoc4eq02zNyy0lNwypovGB3cM,1075
glue_plotly/viewers/scatter/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glue_plotly/viewers/scatter/tests/test_viewer.py,sha256=dRI0K5Fsa4Rd-sgI9CDOypHfghpVXQam_oFfpeKTcvY,2504
glue_plotly/web/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glue_plotly/web/export_plotly.py,sha256=f-0v0-DQY6VI7jTnkFPd0mUQWYkmau7XIwzz_9nEMZU,6724
glue_plotly/web/qt/__init__.py,sha256=5oTjSyUAgyA_RMI6p4FuyJY1yHz4SgW6QACFFRHTi_o,922
glue_plotly/web/qt/exporter.py,sha256=dQojSSXyWWBhStvI8te7jp2pjtzeOtxXl8MRaVKV618,7015
glue_plotly/web/qt/exporter.ui,sha256=ozxUGDUzAEk17lRDwmvSqUQqNwb4AEEmr8_YeaShj54,7771
glue_plotly/web/qt/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glue_plotly/web/qt/tests/test_exporter.py,sha256=F6_WxoBZAGUOBzNBHVF6EeIcKNFSJx-LryJ98W-YNx0,7959
glue_plotly/web/qt/tests/test_plotly.py,sha256=NhAQ6oUrepnsZlTRmekTuMXTXd2_b0TO91qTpWM-aSg,6758
glue_plotly/web/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
glue_plotly-0.10.0.dist-info/LICENSE,sha256=rtC_5mVTc3FJkI6_4P9Nb3qY1R0oEraMv8bCypyWW7Y,1499
glue_plotly-0.10.0.dist-info/METADATA,sha256=UzMeNew1-um-AVAIorPHANNt9biCv6oHnMs0Rf0gzdI,4639
glue_plotly-0.10.0.dist-info/WHEEL,sha256=GV9aMThwP_4oNCtvEC2ec3qUYutgWeAzklro_0m4WJQ,91
glue_plotly-0.10.0.dist-info/entry_points.txt,sha256=EPSeXesh3wjBtdQhfr6MmFjD8PonK7Jq32kJ_yTTOZo,47
glue_plotly-0.10.0.dist-info/top_level.txt,sha256=38itLE7fvdbAosz9AjRgIp6vJ4FASisba-Pgwk-iBZY,12
glue_plotly-0.10.0.dist-info/RECORD,,
