|
5756 | 5756 | },
|
5757 | 5757 | "widgets": {
|
5758 | 5758 | "application/vnd.jupyter.widget-state+json": {
|
5759 |
| - "state": { |
5760 |
| - "2a13a37c969e48e18f73f972774e950b": { |
5761 |
| - "model_module": "@jupyter-widgets/controls", |
5762 |
| - "model_module_version": "1.5.0", |
5763 |
| - "model_name": "HBoxModel", |
5764 |
| - "state": { |
5765 |
| - "children": [ |
5766 |
| - "IPY_MODEL_f2d48861b6b64262b86b0228f372ab48", |
5767 |
| - "IPY_MODEL_61decd4595204723bb941e7bf0f08950", |
5768 |
| - "IPY_MODEL_9f7d2edf102a45ab8741aec9db043f18" |
5769 |
| - ], |
5770 |
| - "layout": "IPY_MODEL_a80556c3943c4b2e99a63a62cf9be5e2" |
5771 |
| - } |
5772 |
| - }, |
5773 |
| - "4c7e3223815e4cfa809864b41c2ba43c": { |
5774 |
| - "model_module": "@jupyter-widgets/base", |
5775 |
| - "model_module_version": "1.2.0", |
5776 |
| - "model_name": "LayoutModel", |
5777 |
| - "state": { |
5778 |
| - "width": "20px" |
5779 |
| - } |
5780 |
| - }, |
5781 |
| - "61decd4595204723bb941e7bf0f08950": { |
5782 |
| - "model_module": "@jupyter-widgets/controls", |
5783 |
| - "model_module_version": "1.5.0", |
5784 |
| - "model_name": "FloatProgressModel", |
5785 |
| - "state": { |
5786 |
| - "bar_style": "info", |
5787 |
| - "layout": "IPY_MODEL_4c7e3223815e4cfa809864b41c2ba43c", |
5788 |
| - "max": 1, |
5789 |
| - "style": "IPY_MODEL_71c8a58ef68b42bbaceb24653652e480" |
5790 |
| - } |
5791 |
| - }, |
5792 |
| - "71c8a58ef68b42bbaceb24653652e480": { |
5793 |
| - "model_module": "@jupyter-widgets/controls", |
5794 |
| - "model_module_version": "1.5.0", |
5795 |
| - "model_name": "ProgressStyleModel", |
5796 |
| - "state": { |
5797 |
| - "description_width": "" |
5798 |
| - } |
5799 |
| - }, |
5800 |
| - "734aff2bc12d45b588bcbf0237eaa3f1": { |
5801 |
| - "model_module": "@jupyter-widgets/base", |
5802 |
| - "model_module_version": "1.2.0", |
5803 |
| - "model_name": "LayoutModel", |
5804 |
| - "state": {} |
5805 |
| - }, |
5806 |
| - "7819971b067e4598bd62eccfa6da354d": { |
5807 |
| - "model_module": "@jupyter-widgets/base", |
5808 |
| - "model_module_version": "1.2.0", |
5809 |
| - "model_name": "LayoutModel", |
5810 |
| - "state": {} |
5811 |
| - }, |
5812 |
| - "9f7d2edf102a45ab8741aec9db043f18": { |
5813 |
| - "model_module": "@jupyter-widgets/controls", |
5814 |
| - "model_module_version": "1.5.0", |
5815 |
| - "model_name": "HTMLModel", |
5816 |
| - "state": { |
5817 |
| - "layout": "IPY_MODEL_734aff2bc12d45b588bcbf0237eaa3f1", |
5818 |
| - "style": "IPY_MODEL_a5175b2331e64e7b8ea66bcca14e7d96", |
5819 |
| - "value": " 0/? [00:00<?, ?it/s]" |
5820 |
| - } |
5821 |
| - }, |
5822 |
| - "a5175b2331e64e7b8ea66bcca14e7d96": { |
5823 |
| - "model_module": "@jupyter-widgets/controls", |
5824 |
| - "model_module_version": "1.5.0", |
5825 |
| - "model_name": "DescriptionStyleModel", |
5826 |
| - "state": { |
5827 |
| - "description_width": "" |
5828 |
| - } |
5829 |
| - }, |
5830 |
| - "a80556c3943c4b2e99a63a62cf9be5e2": { |
5831 |
| - "model_module": "@jupyter-widgets/base", |
5832 |
| - "model_module_version": "1.2.0", |
5833 |
| - "model_name": "LayoutModel", |
5834 |
| - "state": {} |
5835 |
| - }, |
5836 |
| - "b7b22ad4f6084593bbaaf0b8993e4f04": { |
5837 |
| - "model_module": "@jupyter-widgets/controls", |
5838 |
| - "model_module_version": "1.5.0", |
5839 |
| - "model_name": "DescriptionStyleModel", |
5840 |
| - "state": { |
5841 |
| - "description_width": "" |
5842 |
| - } |
5843 |
| - }, |
5844 |
| - "f2d48861b6b64262b86b0228f372ab48": { |
5845 |
| - "model_module": "@jupyter-widgets/controls", |
5846 |
| - "model_module_version": "1.5.0", |
5847 |
| - "model_name": "HTMLModel", |
5848 |
| - "state": { |
5849 |
| - "layout": "IPY_MODEL_7819971b067e4598bd62eccfa6da354d", |
5850 |
| - "style": "IPY_MODEL_b7b22ad4f6084593bbaaf0b8993e4f04" |
5851 |
| - } |
5852 |
| - } |
5853 |
| - }, |
| 5759 | + "state": {}, |
5854 | 5760 | "version_major": 2,
|
5855 | 5761 | "version_minor": 0
|
5856 | 5762 | }
|
|
0 commit comments