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updates to 7
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Before Width: | Height: | Size: 127 KiB After Width: | Height: | Size: 127 KiB |
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@ -149,7 +149,7 @@ ax.set_xscale("log")
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ax.set_ylabel("$J$")
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ax.set_xlabel(r"$\tau$")
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# ax.set_ylim(1e-3,2)
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#ax.tick_params(axis='y', which='major', pad=10)
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ax.tick_params(axis='y', which='major', pad=10)
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ax.set_xlim(1e-3)
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ax.legend()
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fs.export_fig("initial_slip")
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@ -25,7 +25,7 @@ Init ray and silence stocproc.
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#+end_src
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#+RESULTS:
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: RayContext(dashboard_url='', python_version='3.9.12', ray_version='1.12.1', ray_commit='4863e33856b54ccf8add5cbe75e41558850a1b75', address_info={'node_ip_address': '141.30.17.225', 'raylet_ip_address': '141.30.17.225', 'redis_address': None, 'object_store_address': '/tmp/ray/session_2022-07-11_16-23-33_787249_3718/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-07-11_16-23-33_787249_3718/sockets/raylet', 'webui_url': '', 'session_dir': '/tmp/ray/session_2022-07-11_16-23-33_787249_3718', 'metrics_export_port': 52411, 'gcs_address': '141.30.17.225:61800', 'address': '141.30.17.225:61800', 'node_id': 'ccd0fa91f1cf1c8e7ccde10dca737ea05bbbf4c40bf7307334ada0f6'})
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: RayContext(dashboard_url='', python_version='3.9.13', ray_version='1.13.0', ray_commit='e4ce38d001dbbe09cd21c497fedd03d692b2be3e', address_info={'node_ip_address': '141.30.17.225', 'raylet_ip_address': '141.30.17.225', 'redis_address': None, 'object_store_address': '/tmp/ray/session_2022-07-13_12-14-59_947657_1195848/sockets/plasma_store', 'raylet_socket_name': '/tmp/ray/session_2022-07-13_12-14-59_947657_1195848/sockets/raylet', 'webui_url': '', 'session_dir': '/tmp/ray/session_2022-07-13_12-14-59_947657_1195848', 'metrics_export_port': 44689, 'gcs_address': '141.30.17.225:52358', 'address': '141.30.17.225:52358', 'node_id': 'dbd050161eb00064fa872bd35654520b34a583e85dd90b169823b856'})
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#+begin_src jupyter-python :results none :tangle scripts/integrate_slip.py
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from hops.util.logging_setup import logging_setup
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@ -46,8 +46,8 @@ We use a logspaced time to resolve the initial slip.
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#+RESULTS:
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:RESULTS:
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| <matplotlib.lines.Line2D | at | 0x7f7124abf100> |
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[[file:./.ob-jupyter/83580327cbea9ccdd5e201de379eabcb5458cb45.svg]]
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| <matplotlib.lines.Line2D | at | 0x7f98236c7d60> |
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[[file:./.ob-jupyter/be9ed2be4a95667ae8dbed5b3e49b1d228d72352.svg]]
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:END:
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#+begin_src jupyter-python :results none :tangle scripts/integrate_slip.py
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@ -432,7 +432,7 @@ And the flow.
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ax.set_ylabel("$J$")
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ax.set_xlabel(r"$\tau$")
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# ax.set_ylim(1e-3,2)
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#ax.tick_params(axis='y', which='major', pad=10)
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ax.tick_params(axis='y', which='major', pad=10)
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ax.set_xlim(1e-3)
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ax.legend()
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fs.export_fig("initial_slip")
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@ -444,8 +444,8 @@ And the flow.
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: -0.25
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: -0.25
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: -0.25
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[[file:./.ob-jupyter/ffe9b75e70b3d3e3ae6d90fdee3359b6d280a622.svg]]
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[[file:./.ob-jupyter/f7e9401ab2e396dcfe322e91e997f935e9deb2b0.svg]]
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[[file:./.ob-jupyter/8d2386213f44ea363ca093480b7bf517509c53ad.svg]]
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[[file:./.ob-jupyter/26520e3d25ffc61bdfa6e05eb5f82625929a0ac6.svg]]
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:END:
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#+begin_src jupyter-python
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