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"\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, submitter, plugin, plugin_kwargs, rerun, **kwargs)\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0msubmitter\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 449\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mattr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 450\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0;36m__wakeup\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__wakeup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 318\u001b[0;31m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 319\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;31m# This may also be a cancellation.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__log_traceback\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 181\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 182\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'docker': 'docker'" + ] + } + ], + "source": [ + "cmd = \"whoami\"\n", + "docky = pydra.DockerTask(name=\"docky\", executable=cmd, image=\"busybox\")\n", + "\n", + "with pydra.Submitter() as sub:\n", + " docky(submitter=sub)\n", + "\n", + "docky.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "15400428", + "metadata": { + "tags": [ + "hide-cell", + "raises-exception" + ] + }, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno [Errno 2] No such file or directory: 'docker': 'docker'] full crash report is here: /private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmpcocsl_8h/DockerTask_f5242594d4dd0c8a35fdfe4895b6f72db31ddf6dd45b378171aaf6eef1d44c4e/_error.pklz", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31m_RemoteTraceback\u001b[0m Traceback (most recent call last)", + "\u001b[0;31m_RemoteTraceback\u001b[0m: \n\"\"\"\nFileNotFoundError: [Errno 2] No such file or directory: 'docker': 'docker'\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/concurrent/futures/process.py\", line 239, in _process_worker\n r = call_item.fn(*call_item.args, **call_item.kwargs)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/helpers.py\", line 804, in load_and_run\n f\" full crash report is here: {errorfile}\",\nFileNotFoundError: [Errno [Errno 2] No such file or directory: 'docker': 'docker'] full crash report is here: /private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmpcocsl_8h/DockerTask_f5242594d4dd0c8a35fdfe4895b6f72db31ddf6dd45b378171aaf6eef1d44c4e/_error.pklz\n\"\"\"", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2204/2962768199.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mpydra\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSubmitter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mdocky\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubmitter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msub\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mdocky\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, submitter, plugin, plugin_kwargs, rerun, **kwargs)\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0msubmitter\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 449\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mattr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 450\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 451\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# tasks without state could be run without a submitter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 452\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_until_complete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubmit_from_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrunnable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrerun\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 42\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mrunnable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/site-packages/nest_asyncio.py\u001b[0m in \u001b[0;36mrun_until_complete\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 87\u001b[0m raise RuntimeError(\n\u001b[1;32m 88\u001b[0m 'Event loop stopped before Future completed.')\n\u001b[0;32m---> 89\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 90\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 91\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_run_once\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__log_traceback\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 181\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 182\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__step\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m 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"\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/submitter.py\u001b[0m in \u001b[0;36msubmit_from_call\u001b[0;34m(self, runnable, rerun)\u001b[0m\n\u001b[1;32m 77\u001b[0m \u001b[0;31m# 3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 78\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 79\u001b[0;31m \u001b[0;32mawait\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexpand_runnable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrunnable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwait\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrerun\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 80\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 81\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/submitter.py\u001b[0m in \u001b[0;36mexpand_runnable\u001b[0;34m(self, runnable, wait, rerun)\u001b[0m\n\u001b[1;32m 125\u001b[0m \u001b[0;31m# if wait is True, we are at the end of the graph / state expansion.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;31m# Once the remaining jobs end, we will exit `submit_from_call`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mawait\u001b[0m \u001b[0masyncio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgather\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mfutures\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 128\u001b[0m \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 129\u001b[0m \u001b[0;31m# pass along futures to be awaited independently\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__wakeup\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__wakeup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 318\u001b[0;31m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 319\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;31m# This may also be a cancellation.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__step\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcoro\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcoro\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mthrow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 252\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 253\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_must_cancel\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/workers.py\u001b[0m in \u001b[0;36mexec_as_coro\u001b[0;34m(self, runnable, rerun)\u001b[0m\n\u001b[1;32m 166\u001b[0m \u001b[0mind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtask_main_pkl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtask_orig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrunnable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 167\u001b[0m res = await self.loop.run_in_executor(\n\u001b[0;32m--> 168\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpool\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mload_and_run\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtask_main_pkl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrerun\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 169\u001b[0m )\n\u001b[1;32m 170\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36m__await__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 261\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdone\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 262\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_asyncio_future_blocking\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 263\u001b[0;31m \u001b[0;32myield\u001b[0m \u001b[0mself\u001b[0m \u001b[0;31m# This tells Task to wait for completion.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 264\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdone\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 265\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"await wasn't used with future\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__wakeup\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__wakeup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 318\u001b[0;31m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 319\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;31m# This may also be a cancellation.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__log_traceback\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 181\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 182\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno [Errno 2] No such file or directory: 'docker': 'docker'] full crash report is here: /private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmpcocsl_8h/DockerTask_f5242594d4dd0c8a35fdfe4895b6f72db31ddf6dd45b378171aaf6eef1d44c4e/_error.pklz" + ] + } + ], + "source": [ + "cmd = \"whoami\"\n", + "docky = pydra.DockerTask(name=\"docky\", executable=cmd, image=[\"busybox\", \"ubuntu\"]).split(\"image\")\n", + "\n", + "with pydra.Submitter() as sub:\n", + " docky(submitter=sub)\n", + "\n", + "docky.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "770b09b0", + "metadata": {}, + "outputs": [], + "source": [ + "#write your solution here" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "40930e56", + "metadata": { + "tags": [ + "raises-exception" + ] + }, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'docker': 'docker'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31m_RemoteTraceback\u001b[0m Traceback (most recent call last)", + "\u001b[0;31m_RemoteTraceback\u001b[0m: \n\"\"\"\nTraceback (most recent call last):\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/concurrent/futures/process.py\", line 239, in _process_worker\n r = call_item.fn(*call_item.args, **call_item.kwargs)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/core.py\", line 506, in _run\n self._run_task()\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/task.py\", line 530, in _run_task\n values = execute(args, strip=self.strip)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/helpers.py\", line 584, in execute\n rc, stdout, stderr = read_and_display(*cmd, strip=strip)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/helpers.py\", line 549, in read_and_display\n process = sp.run(cmd, stdout=sp.PIPE, stderr=sp.PIPE)\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/subprocess.py\", line 488, in run\n with Popen(*popenargs, **kwargs) as process:\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/subprocess.py\", line 800, in __init__\n restore_signals, start_new_session)\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/subprocess.py\", line 1551, in _execute_child\n raise child_exception_type(errno_num, err_msg, err_filename)\nFileNotFoundError: [Errno 2] No such file or directory: 'docker': 'docker'\n\"\"\"", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2204/2355727424.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mshelly\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpydra\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mShellCommandTask\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"shelly\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexecutable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"whoami\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontainer_info\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"docker\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"busybox\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mpydra\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSubmitter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mshelly\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubmitter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msub\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mshelly\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, submitter, plugin, plugin_kwargs, rerun, **kwargs)\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0msubmitter\u001b[0m \u001b[0;32mas\u001b[0m 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completed.')\n\u001b[0;32m---> 89\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 90\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 91\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_run_once\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__log_traceback\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m 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"\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/submitter.py\u001b[0m in \u001b[0;36msubmit_from_call\u001b[0;34m(self, runnable, rerun)\u001b[0m\n\u001b[1;32m 74\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mrunnable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 75\u001b[0m \u001b[0;31m# run_el should always return a coroutine\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 76\u001b[0;31m \u001b[0;32mawait\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mworker\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_el\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrunnable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrerun\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 77\u001b[0m \u001b[0;31m# 3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 78\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/workers.py\u001b[0m in \u001b[0;36mexec_as_coro\u001b[0;34m(self, runnable, rerun)\u001b[0m\n\u001b[1;32m 162\u001b[0m \u001b[0;34m\"\"\"Run a task (coroutine wrapper).\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrunnable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTaskBase\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 164\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mawait\u001b[0m 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\u001b[0;36m__await__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 261\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdone\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 262\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_asyncio_future_blocking\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 263\u001b[0;31m \u001b[0;32myield\u001b[0m \u001b[0mself\u001b[0m \u001b[0;31m# This tells Task to wait for completion.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 264\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdone\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 265\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"await wasn't used with future\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__wakeup\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__wakeup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 318\u001b[0;31m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 319\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;31m# This may also be a cancellation.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__log_traceback\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 181\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 182\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'docker': 'docker'" + ] + } + ], + "source": [ + "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=\"whoami\", container_info=(\"docker\", \"busybox\"))\n", + "with pydra.Submitter() as sub:\n", + " shelly(submitter=sub)\n", + "\n", + "shelly.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "efd6d7c3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(return_code=0, stdout='yibeichen\\n', stderr=''), runtime=None, errored=False)" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=\"whoami\")\n", + "with pydra.Submitter() as sub:\n", + " shelly(submitter=sub)\n", + "\n", + "shelly.result()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39059dc4", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 13, + 18, + 29, + 37, + 41, + 48, + 52, + 55, + 59, + 61, + 65, + 70, + 78, + 83, + 93, + 99, + 115, + 134, + 149, + 153, + 165, + 171, + 177, + 181, + 192, + 198, + 220, + 226, + 232, + 244, + 250, + 262, + 264, + 270, + 278, + 282, + 290 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/jupyterbook/_build/.jupyter_cache/executed/6b94ea77890376f0614488aca7fd0de0/base.ipynb b/jupyterbook/_build/.jupyter_cache/executed/6b94ea77890376f0614488aca7fd0de0/base.ipynb new file mode 100644 index 0000000..1852588 --- /dev/null +++ b/jupyterbook/_build/.jupyter_cache/executed/6b94ea77890376f0614488aca7fd0de0/base.ipynb @@ -0,0 +1,623 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "8851f020", + "metadata": {}, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "83b34da1", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import pydra\n", + "from pydra import Workflow\n", + "from pydra.engine.specs import File\n", + "import typing as ty\n", + "from pathlib import Path\n", + "\n", + "# get current directory\n", + "pydra_tutorial_dir = os.path.dirname(os.getcwd())\n", + "\n", + "# set up output directory\n", + "workflow_dir = Path(pydra_tutorial_dir) / \"outputs\" \n", + "workflow_out_dir = workflow_dir / \"6_glm\"\n", + "\n", + "# create the output directory if not exit\n", + "os.makedirs(workflow_out_dir, exist_ok = True) " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "3bf90b02", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"exclusion_patterns\": list, \"n_subjects\":int, \"return\": {\"data_dir\":str}})\n", + "def get_openneuro_dataset(exclusion_patterns, n_subjects):\n", + " \n", + " from nilearn.datasets import (fetch_openneuro_dataset_index,\n", + " fetch_openneuro_dataset, select_from_index)\n", + " _, urls = fetch_openneuro_dataset_index()\n", + " urls = select_from_index(\n", + " urls, exclusion_filters=exclusion_patterns, n_subjects = n_subjects)\n", + " data_dir, _ = fetch_openneuro_dataset(urls=urls)\n", + " return data_dir" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "61acf360", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"data_dir\": str, \"task_label\": str, \"space_label\": str,\"derivatives_folder\": str, \"smoothing_fwhm\": float, \n", + " \"return\": {\"model\": ty.Any, \"imgs\": list, \"subject\": str}})\n", + "def get_info_from_bids(\n", + " data_dir,\n", + " task_label,\n", + " space_label,\n", + " smoothing_fwhm,\n", + " derivatives_folder\n", + "):\n", + " from nilearn.glm.first_level import first_level_from_bids\n", + " models, models_run_imgs, models_events, models_confounds = \\\n", + " first_level_from_bids(dataset_path = data_dir, task_label = task_label, space_label = space_label,\n", + " smoothing_fwhm = smoothing_fwhm, derivatives_folder = derivatives_folder)\n", + " model, imgs, events, confounds = (\n", + " models[0], models_run_imgs[0], models_events[0], models_confounds[0])\n", + " subject = \"sub-\" + model.subject_label\n", + " return model, imgs, subject" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cc0d144d", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"data_dir\":str, \"subject\":str, \"return\": {\"dm_path\": str}})\n", + "def get_designmatrix(data_dir, subject):\n", + " \n", + " from nilearn.interfaces.fsl import get_design_from_fslmat\n", + " fsl_design_matrix_path = os.path.join(\n", + " data_dir, 'derivatives', 'task', subject, 'stopsignal.feat', 'design.mat')\n", + " design_matrix = get_design_from_fslmat(fsl_design_matrix_path, column_names=None)\n", + " \n", + " design_columns = ['cond_%02d' % i for i in range(len(design_matrix.columns))]\n", + " design_columns[0] = 'Go'\n", + " design_columns[4] = 'StopSuccess'\n", + " design_matrix.columns = design_columns\n", + " dm_path = os.path.join(workflow_out_dir, \"designmatrix.csv\")\n", + " design_matrix.to_csv(dm_path,index=None)\n", + " return dm_path " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f507fc86", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"model\": ty.Any,\"imgs\": ty.Any,\n", + " \"dm_path\": ty.Any,\"contrast\": str,\n", + " \"return\": {\"model\": ty.Any, \"z_map_path\":str, \"masker\":ty.Any}})\n", + "def model_fit(\n", + " model, \n", + " imgs,\n", + " dm_path,\n", + " contrast\n", + "):\n", + " import pandas as pd\n", + " design_matrix = pd.read_csv(dm_path)\n", + " model.fit(imgs, design_matrices = [design_matrix])\n", + " z_map = model.compute_contrast(contrast)\n", + " z_map_path = os.path.join(workflow_out_dir, \"firstlevel_z_map.nii.gz\")\n", + " z_map.to_filename(z_map_path)\n", + " masker_path = os.path.join(workflow_out_dir, \"firstlevel_masker.nii.gz\")\n", + " masker = model.masker_\n", + " return model, z_map_path, masker" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a4c63c69", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"z_map_path\":str,\n", + " \"return\":{\"output_file\":str}})\n", + "def cluster_table(z_map_path):\n", + " import nibabel as nib\n", + " from nilearn.reporting import get_clusters_table\n", + " from scipy.stats import norm\n", + " \n", + " stat_img = nib.load(z_map_path)\n", + " output_file = os.path.join(workflow_out_dir, \"cluster_table.csv\")\n", + " df = get_clusters_table(stat_img,\n", + " stat_threshold = norm.isf(0.001), \n", + " cluster_threshold=10)\n", + " df.to_csv(output_file, index=None)\n", + " return output_file\n", + "\n", + "# get glm report\n", + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"model\":ty.Any, \"contrasts\":str,\n", + " \"return\":{\"output_file\":str}})\n", + "def glm_report(\n", + " model,\n", + " contrasts\n", + "):\n", + " from nilearn.reporting import make_glm_report\n", + " output_file = os.path.join(workflow_out_dir, \"glm_report.html\")\n", + " report = make_glm_report(model, contrasts)\n", + " report.save_as_html(output_file)\n", + " return output_file" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "32b9af1f", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"data_dir\":str, \"dm_path\":str, \"z_map_path\":str, \n", + " \"contrast\":str,\"subject\":str, \"masker\":ty.Any, \n", + " \"return\":{\"output_file1\":str, \"output_file2\":str,\n", + " \"output_file3\":str, \"output_file4\":str}})\n", + "def plots(\n", + " data_dir,\n", + " dm_path,\n", + " z_map_path,\n", + " contrast,\n", + " subject,\n", + " masker,\n", + "):\n", + " import pandas as pd\n", + " import nibabel as nib\n", + " from nilearn.plotting import plot_glass_brain, plot_img_comparison, plot_contrast_matrix\n", + " import matplotlib.pyplot as plt\n", + " from scipy.stats import norm\n", + " \n", + " # plot and save nilearn z-map\n", + " z_map = nib.load(z_map_path)\n", + " output_file1 = os.path.join(workflow_out_dir, \"nilearn_z_map.jpg\")\n", + " plot_glass_brain(z_map, output_file = output_file1, colorbar = True,\n", + " threshold = norm.isf(0.001), title = 'Nilearn Z map of \"StopSuccess - Go\" (unc p<0.001)',\n", + " plot_abs = False, display_mode = 'ortho')\n", + " \n", + " # plot and save fsl z-map\n", + " fsl_z_map = nib.load(\n", + " os.path.join(data_dir, 'derivatives', 'task', subject, 'stopsignal.feat',\n", + " 'stats', 'zstat12.nii.gz'))\n", + " output_file2 = os.path.join(workflow_out_dir, \"fsl_z_map.jpg\")\n", + " plot_glass_brain(fsl_z_map, output_file = output_file2, colorbar = True, \n", + " threshold = norm.isf(0.001), title = 'FSL Z map of \"StopSuccess - Go\" (unc p<0.001)',\n", + " plot_abs = False, display_mode = 'ortho')\n", + " \n", + " # plot and save nilearn and fsl comparison\n", + " plot_img_comparison([z_map], [fsl_z_map], masker, output_dir = workflow_out_dir, \n", + " ref_label = 'Nilearn', src_label = 'FSL')\n", + " old = os.path.join(workflow_out_dir, \"0000.png\")\n", + " new = os.path.join(workflow_out_dir, \"nilearn_fsl_comp.jpg\")\n", + " output_file3 = os.rename(old,new)\n", + " \n", + " # plot and save design matrix contrast\n", + " design_matrix = pd.read_csv(dm_path)\n", + " output_file4 = os.path.join(workflow_out_dir, \"firstlevel_contrast.jpg\")\n", + " plot_contrast_matrix(contrast, design_matrix, output_file = output_file4)\n", + " return output_file1, output_file2, output_file3, output_file4" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "61b5d03a", + "metadata": {}, + "outputs": [], + "source": [ + "# initiate a workflow\n", + "wf_firstlevel = Workflow(name=\"wf_firstlevel\", input_spec=[\"data_dir\",\n", + " \"task_label\",\n", + " \"space_label\",\n", + " \"derivatives_folder\",\n", + " \"smoothing_fwhm\",\n", + " \"contrast\",\n", + " \"output_dir\"]\n", + " )\n", + "\n", + "# specify input\n", + "wf_firstlevel.inputs.task_label = 'stopsignal'\n", + "wf_firstlevel.inputs.space_label = 'MNI152NLin2009cAsym'\n", + "wf_firstlevel.inputs.derivatives_folder = 'derivatives/fmriprep'\n", + "wf_firstlevel.inputs.smoothing_fwhm = 5.0\n", + "\n", + "# add task - get_info_from_bids\n", + "wf_firstlevel.add(get_info_from_bids(name=\"get_info_from_bids\",\n", + " data_dir = wf_firstlevel.lzin.data_dir,\n", + " task_label = wf_firstlevel.lzin.task_label,\n", + " space_label = wf_firstlevel.lzin.space_label,\n", + " derivatives_folder = wf_firstlevel.lzin.derivatives_folder,\n", + " smoothing_fwhm = wf_firstlevel.lzin.smoothing_fwhm\n", + " )\n", + " )\n", + "# add task - get_designmatrix\n", + "wf_firstlevel.add(get_designmatrix(name = \"get_designmatrix\",\n", + " data_dir = wf_firstlevel.lzin.data_dir,\n", + " subject = wf_firstlevel.get_info_from_bids.lzout.subject,\n", + " )\n", + " )\n", + "wf_firstlevel.add(model_fit(name = \"l1estimation\",\n", + " model = wf_firstlevel.get_info_from_bids.lzout.model, \n", + " imgs = wf_firstlevel.get_info_from_bids.lzout.imgs, \n", + " dm_path = wf_firstlevel.get_designmatrix.lzout.dm_path,\n", + " contrast = wf_firstlevel.lzin.contrast\n", + " )\n", + " )\n", + "# add task - cluster_table\n", + "wf_firstlevel.add(cluster_table(name = \"cluster_table\", \n", + " z_map_path = wf_firstlevel.l1estimation.lzout.z_map_path))\n", + "# add task - glm_report\n", + "wf_firstlevel.add(glm_report(name = \"glm_report\",\n", + " model = wf_firstlevel.l1estimation.lzout.model,\n", + " contrasts = wf_firstlevel.lzin.contrast\n", + " )\n", + " )\n", + "# specify output\n", + "wf_firstlevel.set_output([\n", + " (\"z_map\", wf_firstlevel.l1estimation.lzout.z_map_path),\n", + " (\"masker\", wf_firstlevel.l1estimation.lzout.masker),\n", + " (\"subject\", wf_firstlevel.get_info_from_bids.lzout.subject),\n", + " (\"dm_path\", wf_firstlevel.get_designmatrix.lzout.dm_path),\n", + " (\"cluster_table\", wf_firstlevel.cluster_table.lzout.output_file),\n", + " (\"glm_report\", wf_firstlevel.glm_report.lzout.output_file)\n", + "])" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "3ea604ab", + "metadata": {}, + "outputs": [], + "source": [ + "wf = Workflow(name = \"firstlevel_glm\",\n", + " input_spec = [\"exclusion_patterns\",\"n_subjects\",\"contrast\",\"output_dir\"],\n", + " )\n", + "\n", + "wf.inputs.exclusion_patterns = ['*group*', '*phenotype*', '*mriqc*',\n", + " '*parameter_plots*', '*physio_plots*',\n", + " '*space-fsaverage*', '*space-T1w*',\n", + " '*dwi*', '*beh*', '*task-bart*',\n", + " '*task-rest*', '*task-scap*', '*task-task*']\n", + "wf.inputs.n_subjects = 1\n", + "wf.inputs.output_dir = workflow_out_dir\n", + "wf.inputs.contrast = 'StopSuccess - Go'\n", + "\n", + "wf.add(get_openneuro_dataset(name = \"get_openneuro_dataset\", \n", + " exclusion_patterns = wf.lzin.exclusion_patterns,\n", + " n_subjects = wf.lzin.n_subjects\n", + " )\n", + " )\n", + "\n", + "wf_firstlevel.inputs.data_dir = wf.get_openneuro_dataset.lzout.data_dir\n", + "wf_firstlevel.inputs.contrast = wf.inputs.contrast\n", + "wf_firstlevel.inputs.output_dir = wf.inputs.output_dir\n", + "wf.add(wf_firstlevel)\n", + "\n", + "wf.add(plots(name = \"plots\",\n", + " data_dir = wf.get_openneuro_dataset.lzout.data_dir,\n", + " dm_path = wf_firstlevel.lzout.dm_path,\n", + " z_map_path = wf_firstlevel.lzout.z_map,\n", + " contrast = wf.lzin.contrast,\n", + " subject = wf_firstlevel.lzout.subject,\n", + " masker = wf_firstlevel.lzout.masker\n", + " )\n", + " )\n", + "\n", + "wf.set_output([\n", + " (\"output1\", wf.plots.lzout.output_file1),\n", + " (\"output2\", wf.plots.lzout.output_file2),\n", + " (\"output3\", wf.plots.lzout.output_file3),\n", + " (\"output4\", wf.plots.lzout.output_file4)\n", + "])" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "c33937f5", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/glm/__init__.py:56: FutureWarning: The nilearn.glm module is experimental. It may change in any future release of Nilearn.\n", + " 'It may change in any future release of Nilearn.', FutureWarning)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/glm/first_level/first_level.py:905: UserWarning: SliceTimingRef not found in file /Users/yibeichen/nilearn_data/ds000030/ds000030_R1.0.4/uncompressed/sub-10159/func/sub-10159_task-stopsignal_bold.json. It will be assumed that the slice timing reference is 0.0 percent of the repetition time. If it is not the case it will need to be set manually in the generated list of models\n", + " img_specs[0])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/glm/__init__.py:56: FutureWarning: The nilearn.glm module is experimental. It may change in any future release of Nilearn.\n", + " 'It may change in any future release of Nilearn.', FutureWarning)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/glm/__init__.py:56: FutureWarning: The nilearn.glm module is experimental. It may change in any future release of Nilearn.\n", + " 'It may change in any future release of Nilearn.', FutureWarning)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/glm/__init__.py:56: FutureWarning: The nilearn.glm module is experimental. It may change in any future release of Nilearn.\n", + " 'It may change in any future release of Nilearn.', FutureWarning)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/plotting/img_plotting.py:300: FutureWarning: Default resolution of the MNI template will change from 2mm to 1mm in version 0.10.0\n", + " anat_img = load_mni152_template()\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result(output=Output(output1='/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/outputs/6_glm/nilearn_z_map.jpg', output2='/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/outputs/6_glm/fsl_z_map.jpg', output3=None, output4='/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/outputs/6_glm/firstlevel_contrast.jpg'), runtime=None, errored=False)\n" + ] + } + ], + "source": [ + "from pydra import Submitter\n", + "\n", + "with Submitter(plugin=\"cf\", n_procs=4) as submitter:\n", + " submitter(wf)\n", + "\n", + "results = wf.result()\n", + "\n", + "print(results)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "c07fd05c", + "metadata": { + "tags": [ + "hide-output" + ] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cluster_table.csv firstlevel_z_map.nii.gz nilearn_fsl_comp.jpg\r\n", + "designmatrix.csv fsl_z_map.jpg nilearn_z_map.jpg\r\n", + "firstlevel_contrast.jpg glm_report.html\r\n" + ] + } + ], + "source": [ + "!ls ../outputs/6_glm" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "3cbb94c6", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "outputs": [ + { + "data": { + "image/jpeg": 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\n", + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import Image\n", + "Image(filename='../outputs/6_glm/firstlevel_contrast.jpg') " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "7e48f6a7", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "outputs": [ + { + "data": { + "image/jpeg": 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\n", 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\n", + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Image(filename='../outputs/6_glm/nilearn_fsl_comp.jpg') " + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 15, + 19, + 25, + 30, + 36, + 55, + 66, + 78, + 90, + 108, + 127, + 138, + 155, + 164, + 184, + 190, + 220, + 232, + 282, + 294, + 353, + 361, + 402, + 406, + 419, + 423, + 427, + 433, + 437, + 441, + 445, + 449, + 453, + 456, + 460, + 463, + 467, + 472, + 476 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/jupyterbook/_build/.jupyter_cache/executed/78f2f65a1a0d36c1c8193adade5afc12/base.ipynb b/jupyterbook/_build/.jupyter_cache/executed/78f2f65a1a0d36c1c8193adade5afc12/base.ipynb new file mode 100644 index 0000000..b05340e --- /dev/null +++ b/jupyterbook/_build/.jupyter_cache/executed/78f2f65a1a0d36c1c8193adade5afc12/base.ipynb @@ -0,0 +1,507 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "bdce4090", + "metadata": { + "jupyter": { + "outputs_hidden": false + }, + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "bc6ccfaf", + "metadata": {}, + "outputs": [], + "source": [ + "import pydra\n", + "\n", + "# functions used later in the notebook:\n", + "\n", + "@pydra.mark.task\n", + "def add_two(x):\n", + " return x + 2\n", + "\n", + "@pydra.mark.task\n", + "def power(a, n=2):\n", + " return a**n\n", + "\n", + "@pydra.mark.task\n", + "def mult_var(a, b):\n", + " return a * b" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "737542e0", + "metadata": {}, + "outputs": [], + "source": [ + "wf1 = pydra.Workflow(name=\"wf1\", input_spec=[\"x\"], x=3)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8bb58a3a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf1.add(add_two(name=\"sum\", x=wf1.lzin.x))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "56c63b3f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf1.sum" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "479d8c3c", + "metadata": {}, + "outputs": [], + "source": [ + "wf1.set_output([(\"out\", wf1.sum.lzout.out)])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "635fb2e4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=5), runtime=None, errored=False)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf1)\n", + "\n", + "wf1.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "21c0b92c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out_s=5, out_p=9), runtime=None, errored=False)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf2 = pydra.Workflow(name=\"wf2\", input_spec=[\"x\"], x=3)\n", + "wf2.add(add_two(name=\"add_two\", x=wf2.lzin.x))\n", + "wf2.add(power(name=\"power\", a=wf2.lzin.x))\n", + "\n", + "# setting multiple workflow output\n", + "wf2.set_output([(\"out_s\", wf2.add_two.lzout.out),\n", + " (\"out_p\", wf2.power.lzout.out)\n", + " ])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf2)\n", + "\n", + "wf2.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "fc379701", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out_s=5, out_p=25), runtime=None, errored=False)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf3 = pydra.Workflow(name=\"wf3\", input_spec=[\"x\"], x=3)\n", + "wf3.add(add_two(name=\"sum\", x=wf3.lzin.x))\n", + "# by setting a=wf3.sum.lzout.out we create a connection\n", + "wf3.add(power(name=\"power\", a=wf3.sum.lzout.out))\n", + "\n", + "wf3.set_output([(\"out_s\", wf3.sum.lzout.out),\n", + " (\"out_p\", wf3.power.lzout.out)\n", + " ])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf3)\n", + "\n", + "wf3.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "90769aeb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "LF('sum', 'out')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf3.power.inputs.a" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "88058e0b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=45), runtime=None, errored=False)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf4 = pydra.Workflow(name=\"wf4\", input_spec=[\"x\"], x=3)\n", + "wf4.add(add_two(name=\"add_two\", x=wf4.lzin.x))\n", + "wf4.add(power(name=\"power\", a=wf4.lzin.x))\n", + "wf4.add(mult_var(name=\"mult\", a=wf4.add_two.lzout.out, b=wf4.power.lzout.out))\n", + "\n", + "wf4.set_output([(\"out\", wf4.mult.lzout.out)])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf4)\n", + "\n", + "wf4.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ed9f1851", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=45), runtime=None, errored=False)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf2a = pydra.Workflow(name=\"wf2a\", input_spec=[\"x\"])\n", + "wf2a.add(add_two(name=\"add_two\", x=wf2a.lzin.x))\n", + "wf2a.add(power(name=\"power\", a=wf2a.lzin.x))\n", + "\n", + "wf2a.set_output([(\"out_s\", wf2a.add_two.lzout.out),\n", + " (\"out_p\", wf2a.power.lzout.out)\n", + " ])\n", + "\n", + "\n", + "wf5 = pydra.Workflow(name=\"wf5\", input_spec=[\"x\"], x=3)\n", + "wf5.add(wf2a)\n", + "# connecting wfa to the input from the main workflow\n", + "wf2a.inputs.x = wf5.lzin.x\n", + "wf5.add(mult_var(name=\"mult\", a=wf5.wf2a.lzout.out_s, b=wf5.wf2a.lzout.out_p))\n", + "\n", + "wf5.set_output([(\"out\", wf5.mult.lzout.out)])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf5)\n", + "\n", + "wf5.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "ad59798b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(wf_out=45), runtime=None, errored=False),\n", + " Result(output=Output(wf_out=175), runtime=None, errored=False)]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf6 = pydra.Workflow(name=\"wf6\", input_spec=[\"x\"])\n", + "# setting a plitter for the entire workflow\n", + "wf6.split(\"x\", x=[3, 5])\n", + "wf6.add(add_two(name=\"add_two\", x=wf6.lzin.x))\n", + "wf6.add(power(name=\"power\", a=wf6.lzin.x))\n", + "wf6.add(mult_var(name=\"mult\", a=wf6.add_two.lzout.out, b=wf6.power.lzout.out))\n", + "\n", + "wf6.set_output([(\"wf_out\", wf6.mult.lzout.out)])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf6)\n", + "\n", + "wf6.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "7aeaed55", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=20), runtime=None, errored=False),\n", + " Result(output=Output(out=45), runtime=None, errored=False),\n", + " Result(output=Output(out=28), runtime=None, errored=False),\n", + " Result(output=Output(out=63), runtime=None, errored=False)]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf7 = pydra.Workflow(name=\"wf7\", input_spec=[\"x\", \"y\"])\n", + "wf7.split([\"x\", \"y\"], x=[3, 5], y=[2, 3])\n", + "wf7.add(add_two(name=\"sum\", x=wf7.lzin.x))\n", + "wf7.add(power(name=\"power\", a=wf7.lzin.y))\n", + "wf7.add(mult_var(name=\"mult\", a=wf7.sum.lzout.out, b=wf7.power.lzout.out))\n", + "\n", + "wf7.set_output([(\"out\", wf7.mult.lzout.out)])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf7)\n", + "\n", + "wf7.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "fd50244a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[[Result(output=Output(out=20), runtime=None, errored=False),\n", + " Result(output=Output(out=28), runtime=None, errored=False)],\n", + " [Result(output=Output(out=45), runtime=None, errored=False),\n", + " Result(output=Output(out=63), runtime=None, errored=False)]]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf7.combine(\"x\")\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf7)\n", + "\n", + "wf7.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "cf3f023b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out_m=5.0, out_p=[9, 25, 49]), runtime=None, errored=False)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "def mean(x_list):\n", + " return sum(x_list)/len(x_list)\n", + "\n", + "wf8 = pydra.Workflow(name=\"wf8\", input_spec=[\"x\"], x=[3, 5, 7])\n", + "wf8.add(mean(name=\"mean\", x_list=wf8.lzin.x))\n", + "# adding a task that has its own splitter\n", + "wf8.add(power(name=\"power\", a=wf8.lzin.x).split(\"a\"))\n", + "\n", + "wf8.set_output([(\"out_m\", wf8.mean.lzout.out),\n", + " (\"out_p\", wf8.power.lzout.out)])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf8)\n", + "\n", + "wf8.result()" + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 13, + 18, + 31, + 47, + 55, + 57, + 61, + 63, + 67, + 69, + 73, + 75, + 79, + 83, + 88, + 94, + 98, + 102, + 116, + 120, + 124, + 132, + 146, + 150, + 152, + 156, + 160, + 164, + 176, + 180, + 184, + 192, + 214, + 218, + 222, + 228, + 242, + 248, + 252, + 256, + 269, + 273, + 277, + 283, + 290, + 294, + 298, + 306, + 323, + 327 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/jupyterbook/_build/.jupyter_cache/executed/c09957b675789f9175ff7978944a24b5/base.ipynb b/jupyterbook/_build/.jupyter_cache/executed/c09957b675789f9175ff7978944a24b5/base.ipynb new file mode 100644 index 0000000..108a41d --- /dev/null +++ b/jupyterbook/_build/.jupyter_cache/executed/c09957b675789f9175ff7978944a24b5/base.ipynb @@ -0,0 +1,871 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "5f39151e", + "metadata": { + "jupyter": { + "outputs_hidden": false + }, + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "096f673d", + "metadata": {}, + "outputs": [], + "source": [ + "import pydra\n", + "\n", + "@pydra.mark.task\n", + "def add_var(a, b):\n", + " return a + b" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1e48bb99", + "metadata": {}, + "outputs": [], + "source": [ + "task1 = add_var(a=4, b=5)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "6d819ab8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "pydra.engine.task.FunctionTask" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(task1)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "975bd9c9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "a = 4\n", + "b = 5\n" + ] + } + ], + "source": [ + "print(f\"a = {task1.inputs.a}\")\n", + "print(f\"b = {task1.inputs.b}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "67757f7a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Inputs(a=4, b=5, _func=b'\\x80\\x04\\x95\\xf0\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x8c\\x17cloudpickle.cloudpickle\\x94\\x8c\\x0e_make_function\\x94\\x93\\x94(h\\x00\\x8c\\r_builtin_type\\x94\\x93\\x94\\x8c\\x08CodeType\\x94\\x85\\x94R\\x94(K\\x02K\\x00K\\x02K\\x02KCC\\x08|\\x00|\\x01\\x17\\x00S\\x00\\x94N\\x85\\x94)\\x8c\\x01a\\x94\\x8c\\x01b\\x94\\x86\\x94\\x8cM/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2026/3542708107.py\\x94\\x8c\\x07add_var\\x94K\\x03C\\x02\\x00\\x02\\x94))t\\x94R\\x94}\\x94(\\x8c\\x0b__package__\\x94N\\x8c\\x08__name__\\x94\\x8c\\x08__main__\\x94uNNNt\\x94R\\x94\\x8c\\x1ccloudpickle.cloudpickle_fast\\x94\\x8c\\x12_function_setstate\\x94\\x93\\x94h\\x17}\\x94}\\x94(h\\x14h\\x0e\\x8c\\x0c__qualname__\\x94h\\x0e\\x8c\\x0f__annotations__\\x94}\\x94\\x8c\\x0e__kwdefaults__\\x94N\\x8c\\x0c__defaults__\\x94N\\x8c\\n__module__\\x94h\\x15\\x8c\\x07__doc__\\x94N\\x8c\\x0b__closure__\\x94N\\x8c\\x17_cloudpickle_submodules\\x94]\\x94\\x8c\\x0b__globals__\\x94}\\x94u\\x86\\x94\\x86R0.')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.inputs" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "0297f5c2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=9), runtime=None, errored=False)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "a12505ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=9), runtime=None, errored=False)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e2866563", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "9" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result = task1.result()\n", + "result.output.out" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "2063631e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "({'add_var.a': 4, 'add_var.b': 5},\n", + " Result(output=Output(out=9), runtime=None, errored=False))" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.result(return_inputs=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "94e9d5eb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(sum_a_b=9), runtime=None, errored=False)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import typing as ty\n", + "\n", + "@pydra.mark.task\n", + "def add_var_an(a, b) -> {\"sum_a_b\": int}:\n", + " return a + b\n", + "\n", + "\n", + "task1a = add_var_an(a=4, b=5)\n", + "task1a()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ad643b10", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(fractional=0.5, integer=3.0), runtime=None, errored=False)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "def modf_an(a) -> {\"fractional\": ty.Any, \"integer\": ty.Any}:\n", + " import math\n", + " return math.modf(a)\n", + "\n", + "task2 = modf_an(a=3.5)\n", + "task2()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "89ef3f20", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(fractional=0.5, integer=3.0), runtime=None, errored=False)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"return\": {\"fractional\": ty.Any, \"integer\": ty.Any}})\n", + "def modf(a):\n", + " import math\n", + " return math.modf(a)\n", + "\n", + "task2a = modf(a=3.5)\n", + "task2a()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "00cf0607", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=9), runtime=None, errored=False)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task3 = add_var()\n", + "task3.inputs.a = 4\n", + "task3.inputs.b = 5\n", + "task3()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "67406abf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task3a = add_var()\n", + "task3a.inputs.a = 4\n", + "\n", + "# importing attr library, and checking the type pf `b`\n", + "import attr\n", + "task3a.inputs.b == attr.NOTHING" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "4a342ed8", + "metadata": { + "tags": [ + "raises-exception" + ] + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "unsupported operand type(s) for +: 'int' and '_Nothing'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2026/3698768266.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtask3a\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, submitter, plugin, plugin_kwargs, rerun, **kwargs)\u001b[0m\n\u001b[1;32m 450\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 451\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# tasks without state could be run without a submitter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 452\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 453\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 454\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, rerun, **kwargs)\u001b[0m\n\u001b[1;32m 504\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 505\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maudit\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmonitor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 506\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_task\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 507\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_collect_outputs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput_dir\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moutput_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 508\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/task.py\u001b[0m in \u001b[0;36m_run_task\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 190\u001b[0m \u001b[0;32mdel\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"_func\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 191\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 192\u001b[0;31m \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_func\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 193\u001b[0m \u001b[0moutput_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mel\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mel\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput_spec\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfields\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 194\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0moutput\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2026/3542708107.py\u001b[0m in \u001b[0;36madd_var\u001b[0;34m(a, b)\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mpydra\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmark\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtask\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0madd_var\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and '_Nothing'" + ] + } + ], + "source": [ + "task3a()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "21d5a95c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PosixPath('/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmpshc1jznz/FunctionTask_83c0e4e7caf9e1b91a9298d989a17279429f3b317b9f60aa3f28937c8957f48d')" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task3.output_dir" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "581adbda", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['_task.pklz', '_result.pklz']" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import os\n", + "os.listdir(task3.output_dir)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "c0626ec8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmp8ilk9c23/task4\n" + ] + } + ], + "source": [ + "from tempfile import mkdtemp\n", + "from pathlib import Path\n", + "cache_dir_tmp = Path(mkdtemp()) / \"task4\"\n", + "print(cache_dir_tmp)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "a9eccb32", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "def add_var_wait(a, b):\n", + " import time\n", + " time.sleep(5)\n", + " return a + b\n", + "\n", + "task4 = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "c3bc9fdd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=10), runtime=None, errored=False)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4()\n", + "task4.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "e0b6a428", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PosixPath('/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmp8ilk9c23/task4/FunctionTask_61b258bcd93fc0e38b07f3deee014fe1ddb5cea09eebc66b80d9fd2090c79f1e')" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4.output_dir" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "a9a79353", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=10), runtime=None, errored=False)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4a = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp)\n", + "task4a()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "a52195f0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=10), runtime=None, errored=False)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cache_dir_tmp_new = Path(mkdtemp()) / \"task4b\"\n", + "\n", + "task4b = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp_new, cache_locations=[cache_dir_tmp])\n", + "task4b()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "6f8528d4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4b.output_dir.exists()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "dccdcc7f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cache_dir_tmp_new = Path(mkdtemp()) / \"task4c\"\n", + "\n", + "task4c = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp_new, cache_locations=[cache_dir_tmp])\n", + "task4c(rerun=True)\n", + "\n", + "task4c.output_dir.exists()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "7ee72ced", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result(output=Output(out=7), runtime=None, errored=False)\n", + "True\n" + ] + } + ], + "source": [ + "task4b.inputs.a = 1\n", + "print(task4b())\n", + "print(task4b.output_dir.exists())" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "2ac110d1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PosixPath('/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmp8wd9f_or/task4b/FunctionTask_bc523c04f0488215dd6a15b0a149c012e4b456cec8c77c07148bbd9f3abd214d')" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4b.output_dir" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "709ea176", + "metadata": { + "tags": [ + "hide-cell" + ] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(mean=2, std=0.0), runtime=None, errored=False)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"return\": {\"mean\": ty.Any, \"std\": ty.Any}})\n", + "def mean_dev(my_list):\n", + " import statistics as st\n", + " return st.mean(my_list), st.stdev(my_list)\n", + "\n", + "my_task = mean_dev(my_list=[2, 2, 2])\n", + "my_task()\n", + "my_task.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "c13bdc62", + "metadata": {}, + "outputs": [], + "source": [ + "# write your solution here (you can use statistics module)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "072d43f8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=9), runtime=Runtime(rss_peak_gb=0.068885802734375, vms_peak_gb=34.051189422851564, cpu_peak_percent=102.1), errored=False)" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from pydra.utils.messenger import AuditFlag, PrintMessenger\n", + "\n", + "task5 = add_var(a=4, b=5, audit_flags=AuditFlag.RESOURCE)\n", + "task5()\n", + "task5.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "28a44ebd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "id: bab3b3fa52044888a8c9d7cae27d76fb\n", + "{\n", + " \"@context\": \"https://raw.githubusercontent.com/nipype/pydra/master/pydra/schema/context.jsonld\",\n", + " \"@id\": \"uid:0c7310bd0bf545f6a41393cbb5b4f824\",\n", + " \"@type\": \"task\",\n", + " \"startedAtTime\": \"2022-06-30T21:09:56.326172\"\n", + "}\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "id: 5f35f79ede714624a82520c6f4fbe737\n", + "{\n", + " \"@context\": \"https://raw.githubusercontent.com/nipype/pydra/master/pydra/schema/context.jsonld\",\n", + " \"@id\": \"uid:344ab03dc33a4b8f84a14a1cf53845d9\",\n", + " \"@type\": \"monitor\",\n", + " \"startedAtTime\": \"2022-06-30T21:09:56.558980\",\n", + " \"wasStartedBy\": \"uid:0c7310bd0bf545f6a41393cbb5b4f824\"\n", + "}\n", + "id: 07eece2fc6094b94bbd75d718405751c\n", + "{\n", + " \"@context\": \"https://raw.githubusercontent.com/nipype/pydra/master/pydra/schema/context.jsonld\",\n", + " \"@id\": \"uid:344ab03dc33a4b8f84a14a1cf53845d9\",\n", + " \"endedAtTime\": \"2022-06-30T21:09:56.608558\",\n", + " \"wasEndedBy\": \"uid:0c7310bd0bf545f6a41393cbb5b4f824\"\n", + "}\n", + "id: 0a91162990bb4c1685e616d743c77b98\n", + "{\n", + " \"@context\": \"https://raw.githubusercontent.com/nipype/pydra/master/pydra/schema/context.jsonld\",\n", + " \"rss_peak_gb\": 0.069889068359375,\n", + " \"vms_peak_gb\": 34.051189422851564,\n", + " \"cpu_peak_percent\": 104.0,\n", + " \"@id\": \"uid:463e8d0b12e2422c803e40376619274a\",\n", + " \"@type\": \"runtime\",\n", + " \"prov:wasGeneratedBy\": \"uid:0c7310bd0bf545f6a41393cbb5b4f824\"\n", + "}\n", + "id: d4c4b557a7f44a499c6e34da5e59ee81\n", + "{\n", + " \"@context\": \"https://raw.githubusercontent.com/nipype/pydra/master/pydra/schema/context.jsonld\",\n", + " \"@type\": \"prov:Generation\",\n", + " \"entity_generated\": \"uid:463e8d0b12e2422c803e40376619274a\",\n", + " \"hadActivity\": \"uid:344ab03dc33a4b8f84a14a1cf53845d9\"\n", + "}\n", + "id: 48feec47699e4902b07c2a67be688594\n", + "{\n", + " \"@context\": \"https://raw.githubusercontent.com/nipype/pydra/master/pydra/schema/context.jsonld\",\n", + " \"@id\": \"uid:0c7310bd0bf545f6a41393cbb5b4f824\",\n", + " \"endedAtTime\": \"2022-06-30T21:09:56.608833\",\n", + " \"errored\": false\n", + "}\n" + ] + }, + { + "data": { + "text/plain": [ + "Result(output=Output(out=9), runtime=Runtime(rss_peak_gb=0.069889068359375, vms_peak_gb=34.051189422851564, cpu_peak_percent=104.0), errored=False)" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task5 = add_var(a=4, b=5, audit_flags=AuditFlag.ALL, messengers=PrintMessenger())\n", + "task5()\n", + "task5.result()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ba095f57", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 13, + 18, + 29, + 33, + 39, + 43, + 45, + 49, + 51, + 55, + 58, + 62, + 64, + 70, + 72, + 76, + 78, + 82, + 85, + 89, + 91, + 98, + 108, + 112, + 120, + 124, + 133, + 137, + 143, + 148, + 152, + 159, + 163, + 167, + 173, + 175, + 179, + 182, + 186, + 191, + 195, + 203, + 207, + 210, + 214, + 216, + 220, + 223, + 229, + 234, + 238, + 240, + 244, + 251, + 255, + 259, + 263, + 265, + 269, + 274, + 288, + 290, + 298, + 304, + 308, + 314 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/jupyterbook/_build/.jupyter_cache/executed/d05c637d7aeda264a024c997d2bee690/base.ipynb b/jupyterbook/_build/.jupyter_cache/executed/d05c637d7aeda264a024c997d2bee690/base.ipynb new file mode 100644 index 0000000..1f682ac --- /dev/null +++ b/jupyterbook/_build/.jupyter_cache/executed/d05c637d7aeda264a024c997d2bee690/base.ipynb @@ -0,0 +1,52 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "936e8f97", + "metadata": {}, + "outputs": [], + "source": [ + "import pydra" + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 13, + 17, + 30, + 47, + 55, + 59 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/jupyterbook/_build/.jupyter_cache/executed/d42a25d362e0fea2b2483974757b5c8c/base.ipynb b/jupyterbook/_build/.jupyter_cache/executed/d42a25d362e0fea2b2483974757b5c8c/base.ipynb new file mode 100644 index 0000000..a2b5ec6 --- /dev/null +++ b/jupyterbook/_build/.jupyter_cache/executed/d42a25d362e0fea2b2483974757b5c8c/base.ipynb @@ -0,0 +1,854 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "146eb2be", + "metadata": { + "jupyter": { + "outputs_hidden": false + }, + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cf24a8ad", + "metadata": {}, + "outputs": [], + "source": [ + "import pydra\n", + "\n", + "@pydra.mark.task\n", + "def add_two(x):\n", + " return x + 2\n", + "\n", + "task1 = add_two(x=[1, 2, 3])" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "118805a3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.state is None" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "52cd2a70", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.split(\"x\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a6b2ba60", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.state" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "982e0881", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "State for add_two with a splitter: add_two.x and combiner: []\n" + ] + } + ], + "source": [ + "print(task1.state)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b1fa6a79", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'add_two.x'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.state.splitter" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "b20f04c1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=3), runtime=None, errored=False),\n", + " Result(output=Output(out=4), runtime=None, errored=False),\n", + " Result(output=Output(out=5), runtime=None, errored=False)]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1()\n", + "task1.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "687fe95f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[({'add_two.x': 1}, Result(output=Output(out=3), runtime=None, errored=False)),\n", + " ({'add_two.x': 2}, Result(output=Output(out=4), runtime=None, errored=False)),\n", + " ({'add_two.x': 3}, Result(output=Output(out=5), runtime=None, errored=False))]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.result(return_inputs=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "40de66d5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[({'add_two.x': 0}, Result(output=Output(out=3), runtime=None, errored=False)),\n", + " ({'add_two.x': 1}, Result(output=Output(out=4), runtime=None, errored=False)),\n", + " ({'add_two.x': 2}, Result(output=Output(out=5), runtime=None, errored=False))]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.result(return_inputs=\"ind\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "40b2ff44", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "def add_var(a, b):\n", + " return a + b" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "efb88cfa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=12), runtime=None, errored=False),\n", + " Result(output=Output(out=13), runtime=None, errored=False)]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task2 = add_var(a=[1, 2, 3], b=10).split(\"a\")\n", + "task2()\n", + "task2.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "7840b17b", + "metadata": {}, + "outputs": [], + "source": [ + "task3 = add_var(a=[1, 2], b=[10, 100])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "97165f48", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=102), runtime=None, errored=False)]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task3.split((\"a\", \"b\"))\n", + "task3()\n", + "task3.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "d5efdd96", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=101), runtime=None, errored=False),\n", + " Result(output=Output(out=12), runtime=None, errored=False),\n", + " Result(output=Output(out=102), runtime=None, errored=False)]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4 = add_var(a=[1, 2], b=[10, 100])\n", + "task4.split([\"a\", \"b\"])\n", + "task4()\n", + "task4.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "e82cf01a", + "metadata": { + "tags": [ + "raises-exception" + ] + }, + "outputs": [ + { + "ename": "Exception", + "evalue": "splitter has been already set, if you want to overwrite it - use overwrite=True", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mException\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2373/2635338667.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtask4\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"a\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"b\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36msplit\u001b[0;34m(self, splitter, overwrite, cont_dim, **kwargs)\u001b[0m\n\u001b[1;32m 557\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0moverwrite\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplitter\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0msplitter\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 558\u001b[0m raise Exception(\n\u001b[0;32m--> 559\u001b[0;31m \u001b[0;34m\"splitter has been already set, \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 560\u001b[0m \u001b[0;34m\"if you want to overwrite it - use overwrite=True\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 561\u001b[0m )\n", + "\u001b[0;31mException\u001b[0m: splitter has been already set, if you want to overwrite it - use overwrite=True" + ] + } + ], + "source": [ + "task4.split((\"a\", \"b\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "17847a54", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=(20, 11)), runtime=None, errored=False),\n", + " Result(output=Output(out=(30, 21)), runtime=None, errored=False),\n", + " Result(output=Output(out=(40, 31)), runtime=None, errored=False),\n", + " Result(output=Output(out=(30, 12)), runtime=None, errored=False),\n", + " Result(output=Output(out=(40, 22)), runtime=None, errored=False),\n", + " Result(output=Output(out=(50, 32)), runtime=None, errored=False)]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "def add_vector(x1, y1, x2, y2):\n", + " return (x1 + x2, y1 + y2)\n", + "\n", + "task5 = add_vector(name=\"add_vect\", output_names=[\"x\", \"y\"], \n", + " x1=[10, 20], y1=[1, 2], x2=[10, 20, 30], y2=[10, 20, 30])\n", + "task5.split(splitter=[(\"x1\", \"y1\"), (\"x2\", \"y2\")])\n", + "task5()\n", + "task5.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "7d8247fe", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=101), runtime=None, errored=False)],\n", + " [Result(output=Output(out=12), runtime=None, errored=False),\n", + " Result(output=Output(out=102), runtime=None, errored=False)]]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task5 = add_var(a=[1, 2], b=[10, 100])\n", + "task5.split([\"a\", \"b\"])\n", + "# adding combiner\n", + "task5.combine(\"b\")\n", + "task5()\n", + "task5.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "2d46e10f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "first list, a=1: [({'add_var.a': 1, 'add_var.b': 10}, Result(output=Output(out=11), runtime=None, errored=False)), ({'add_var.a': 1, 'add_var.b': 100}, Result(output=Output(out=101), runtime=None, errored=False))]\n", + "\n", + " second list, a=2: [({'add_var.a': 2, 'add_var.b': 10}, Result(output=Output(out=12), runtime=None, errored=False)), ({'add_var.a': 2, 'add_var.b': 100}, Result(output=Output(out=102), runtime=None, errored=False))]\n" + ] + } + ], + "source": [ + "all_results = task5.result(return_inputs=True)\n", + "print(f\"first list, a=1: {all_results[0]}\")\n", + "print(f\"\\n second list, a=2: {all_results[1]}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "7416cfab", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=12), runtime=None, errored=False)],\n", + " [Result(output=Output(out=101), runtime=None, errored=False),\n", + " Result(output=Output(out=102), runtime=None, errored=False)]]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task6 = add_var(a=[1, 2], b=[10, 100])\n", + "task6.split([\"a\", \"b\"])\n", + "# changing the combiner\n", + "task6.combine(\"a\")\n", + "task6()\n", + "task6.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "c1b8647e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "first list, b=10: [({'add_var.a': 1, 'add_var.b': 10}, Result(output=Output(out=11), runtime=None, errored=False)), ({'add_var.a': 2, 'add_var.b': 10}, Result(output=Output(out=12), runtime=None, errored=False))]\n", + "\n", + " second list, b=100: [({'add_var.a': 1, 'add_var.b': 100}, Result(output=Output(out=101), runtime=None, errored=False)), ({'add_var.a': 2, 'add_var.b': 100}, Result(output=Output(out=102), runtime=None, errored=False))]\n" + ] + } + ], + "source": [ + "all_results = task6.result(return_inputs=True)\n", + "print(f\"first list, b=10: {all_results[0]}\")\n", + "print(f\"\\n second list, b=100: {all_results[1]}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "66b7c828", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=101), runtime=None, errored=False),\n", + " Result(output=Output(out=12), runtime=None, errored=False),\n", + " Result(output=Output(out=102), runtime=None, errored=False)]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task7 = add_var(a=[1, 2], b=[10, 100])\n", + "task7.split([\"a\", \"b\"])\n", + "# combining all inputs\n", + "task7.combine([\"a\", \"b\"])\n", + "task7()\n", + "task7.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "7c8eb272", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=33.0), runtime=None, errored=False)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "def moment(lst, n):\n", + " return sum([i ** n for i in lst]) / len(lst)\n", + "\n", + "task8 = moment(n=3, lst=[2, 3, 4])\n", + "\n", + "task8()\n", + "task8.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "78adbdd2", + "metadata": { + "tags": [ + "hide-cell" + ] + }, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "def power(x, n):\n", + " return x**n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "a27f2db1", + "metadata": { + "tags": [ + "hide-cell" + ] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[[Result(output=Output(out=4), runtime=None, errored=False),\n", + " Result(output=Output(out=9), runtime=None, errored=False),\n", + " Result(output=Output(out=16), runtime=None, errored=False),\n", + " Result(output=Output(out=25), runtime=None, errored=False)],\n", + " [Result(output=Output(out=8), runtime=None, errored=False),\n", + " Result(output=Output(out=27), runtime=None, errored=False),\n", + " Result(output=Output(out=64), runtime=None, errored=False),\n", + " Result(output=Output(out=125), runtime=None, errored=False)]]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task_ex1 = power(x=[2, 3, 4, 5], n=[2, 3]).split([\"x\", \"n\"]).combine(\"x\")\n", + "task_ex1()\n", + "task_ex1.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "ff7469f8", + "metadata": { + "tags": [ + "hide-cell" + ] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "squares: [4, 9, 16, 25]\n", + "cubes: [8, 27, 64, 125]\n" + ] + } + ], + "source": [ + "squares_list = [el.output.out for el in task_ex1.result()[0]]\n", + "cubes_list = [el.output.out for el in task_ex1.result()[1]]\n", + "print(f\"squares: {squares_list}\")\n", + "print(f\"cubes: {cubes_list}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "3667e110", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total time: 1.3097989559173584\n" + ] + }, + { + "data": { + "text/plain": [ + "[Result(output=Output(out=3), runtime=None, errored=False),\n", + " Result(output=Output(out=4), runtime=None, errored=False),\n", + " Result(output=Output(out=5), runtime=None, errored=False),\n", + " Result(output=Output(out=6), runtime=None, errored=False)]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import time\n", + "\n", + "@pydra.mark.task\n", + "def add_two_sleep(x):\n", + " time.sleep(1)\n", + " return x + 2\n", + "\n", + "task9 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n", + "t0 = time.time()\n", + "task9()\n", + "print(f'total time: {time.time() - t0}')\n", + "task9.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "706ffec0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total time: 1.347938060760498\n", + "results: [Result(output=Output(out=3), runtime=None, errored=False), Result(output=Output(out=4), runtime=None, errored=False), Result(output=Output(out=5), runtime=None, errored=False), Result(output=Output(out=6), runtime=None, errored=False)]\n" + ] + } + ], + "source": [ + "task10 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n", + "\n", + "t0 = time.time()\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " task10(submitter=sub)\n", + "print(f'total time: {time.time() - t0}')\n", + "print(f\"results: {task10.result()}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "7f113dee", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total time: 1.339102029800415\n", + "results: [Result(output=Output(out=3), runtime=None, errored=False), Result(output=Output(out=4), runtime=None, errored=False), Result(output=Output(out=5), runtime=None, errored=False), Result(output=Output(out=6), runtime=None, errored=False)]\n" + ] + } + ], + "source": [ + "task11 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n", + "\n", + "t0 = time.time()\n", + "task11(plugin=\"cf\")\n", + "print(f'total time: {time.time() - t0}')\n", + "print(f\"results: {task11.result()}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "518585bc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total time: 1.3082010746002197\n", + "results: [Result(output=Output(out=3), runtime=None, errored=False), Result(output=Output(out=4), runtime=None, errored=False), Result(output=Output(out=5), runtime=None, errored=False), Result(output=Output(out=6), runtime=None, errored=False)]\n" + ] + } + ], + "source": [ + "task12 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n", + "\n", + "t0 = time.time()\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(runnable=task12)\n", + "print(f'total time: {time.time() - t0}')\n", + "print(f\"results: {task12.result()}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "890bf70f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total time: 2.364259719848633\n", + "results: [Result(output=Output(out=3), runtime=None, errored=False), Result(output=Output(out=4), runtime=None, errored=False), Result(output=Output(out=5), runtime=None, errored=False), Result(output=Output(out=6), runtime=None, errored=False)]\n" + ] + } + ], + "source": [ + "task13 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n", + "\n", + "t0 = time.time()\n", + "with pydra.Submitter(plugin=\"cf\", n_procs=2) as sub:\n", + " sub(runnable=task13)\n", + "print(f'total time: {time.time() - t0}')\n", + "print(f\"results: {task13.result()}\")" + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 13, + 21, + 34, + 42, + 46, + 48, + 52, + 54, + 58, + 60, + 64, + 66, + 70, + 72, + 78, + 81, + 85, + 87, + 91, + 93, + 97, + 101, + 107, + 111, + 115, + 119, + 123, + 127, + 131, + 133, + 139, + 145, + 149, + 155, + 159, + 165, + 170, + 174, + 178, + 182, + 186, + 192, + 202, + 206, + 214, + 221, + 225, + 229, + 233, + 237, + 244, + 248, + 252, + 256, + 260, + 267, + 271, + 275, + 281, + 292, + 298, + 302, + 310, + 314, + 322, + 326, + 333, + 339, + 352, + 360, + 368, + 372, + 379, + 383, + 391, + 395, + 403 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 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a/jupyterbook/_build/html/_sources/about/team.md b/jupyterbook/_build/html/_sources/about/team.md new file mode 100644 index 0000000..5317ae1 --- /dev/null +++ b/jupyterbook/_build/html/_sources/about/team.md @@ -0,0 +1,3 @@ +# Team + +TODO \ No newline at end of file diff --git a/jupyterbook/_build/html/_sources/notebooks/1_intro_pydra.ipynb b/jupyterbook/_build/html/_sources/notebooks/1_intro_pydra.ipynb new file mode 100644 index 0000000..6f00a9f --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/1_intro_pydra.ipynb @@ -0,0 +1,117 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "148e2c54", + "metadata": {}, + "source": [ + "# 1. Pydra" + ] + }, + { + "cell_type": "markdown", + "id": "e884d178", + "metadata": {}, + "source": [ + "Pydra is a lightweight, Python 3.7+ dataflow engine for computational graph construction, manipulation, and distributed execution.\n", + "Designed as a general-purpose engine to support analytics in any scientific domain; created for [Nipype](https://github.com/nipy/nipype), and helps build reproducible, scalable, reusable, and fully automated, provenance tracked scientific workflows.\n", + "The power of Pydra lies in ease of workflow creation \n", + "and execution for complex multiparameter map-reduce operations, and the use of global cache.\n", + "\n", + "Pydra's key features are:\n", + "- Consistent API for Task and Workflow\n", + "- Splitting & combining semantics on Task/Workflow level\n", + "- Global cache support to reduce recomputation\n", + "- Support for execution of Tasks in containerized environments" + ] + }, + { + "cell_type": "markdown", + "id": "9a021a36", + "metadata": {}, + "source": [ + "## Pydra computational objects - Tasks\n", + "There are two main types of objects in *pydra*: `Task` and `Workflow`, that is also a type of `Task`, and can be used in a nested workflow.\n", + "![nested_workflow.png](../figures/nested_workflow.png)\n", + "\n", + "\n", + "\n", + "**These are the current `Task` implemented in Pydra:**\n", + "- `Workflow`: connects multiple `Task`s withing a graph\n", + "- `FunctionTask`: wrapper for Python functions\n", + "- `ShellCommandTask`: wrapper for shell commands\n", + " - `ContainerTask`: wrapper for shell commands run within containers\n", + " - `DockerTask`: `ContainerTask` that uses Docker\n", + " - `SingularityTask`: `ContainerTask` that uses Singularity" + ] + }, + { + "cell_type": "markdown", + "id": "4e778df6", + "metadata": {}, + "source": [ + "## Pydra Workers\n", + "Pydra supports multiple workers to execute `Tasks` and `Workflows`:\n", + "- `ConcurrentFutures`\n", + "- `SLURM`\n", + "- `Dask` (experimental)" + ] + }, + { + "cell_type": "markdown", + "id": "869a0ebf", + "metadata": {}, + "source": [ + "**Before going to next notebooks, let's check if pydra is properly installed**" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2e51ab81", + "metadata": {}, + "outputs": [], + "source": [ + "import pydra" + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 13, + 17, + 30, + 47, + 55, + 59 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/jupyterbook/_build/html/_sources/notebooks/1_intro_pydra.md b/jupyterbook/_build/html/_sources/notebooks/1_intro_pydra.md new file mode 100644 index 0000000..0fb43fc --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/1_intro_pydra.md @@ -0,0 +1,61 @@ +--- +jupytext: + formats: ipynb,md:myst + text_representation: + extension: .md + format_name: myst + format_version: 0.13 + jupytext_version: 1.13.8 +kernelspec: + display_name: Python 3 + language: python + name: python3 +--- + +# 1. Pydra + ++++ + +Pydra is a lightweight, Python 3.7+ dataflow engine for computational graph construction, manipulation, and distributed execution. +Designed as a general-purpose engine to support analytics in any scientific domain; created for [Nipype](https://github.com/nipy/nipype), and helps build reproducible, scalable, reusable, and fully automated, provenance tracked scientific workflows. +The power of Pydra lies in ease of workflow creation +and execution for complex multiparameter map-reduce operations, and the use of global cache. + +Pydra's key features are: +- Consistent API for Task and Workflow +- Splitting & combining semantics on Task/Workflow level +- Global cache support to reduce recomputation +- Support for execution of Tasks in containerized environments + ++++ + +## Pydra computational objects - Tasks +There are two main types of objects in *pydra*: `Task` and `Workflow`, that is also a type of `Task`, and can be used in a nested workflow. +![nested_workflow.png](../figures/nested_workflow.png) + + + +**These are the current `Task` implemented in Pydra:** +- `Workflow`: connects multiple `Task`s withing a graph +- `FunctionTask`: wrapper for Python functions +- `ShellCommandTask`: wrapper for shell commands + - `ContainerTask`: wrapper for shell commands run within containers + - `DockerTask`: `ContainerTask` that uses Docker + - `SingularityTask`: `ContainerTask` that uses Singularity + + ++++ + +## Pydra Workers +Pydra supports multiple workers to execute `Tasks` and `Workflows`: +- `ConcurrentFutures` +- `SLURM` +- `Dask` (experimental) + ++++ + +**Before going to next notebooks, let's check if pydra is properly installed** + +```{code-cell} ipython3 +import pydra +``` diff --git a/jupyterbook/_build/html/_sources/notebooks/2_intro_functiontask.ipynb b/jupyterbook/_build/html/_sources/notebooks/2_intro_functiontask.ipynb new file mode 100644 index 0000000..40104a2 --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/2_intro_functiontask.ipynb @@ -0,0 +1,1154 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "b708e1bd", + "metadata": {}, + "source": [ + "# 2. FunctionTask" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "227a10ef", + "metadata": { + "jupyter": { + "outputs_hidden": false + }, + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "05f8369a", + "metadata": {}, + "source": [ + "A `FunctionTask` is a `Task` that can be created from every *python* function by using *pydra* decorator: `pydra.mark.task`:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "05ad0b9d", + "metadata": {}, + "outputs": [], + "source": [ + "import pydra\n", + "\n", + "@pydra.mark.task\n", + "def add_var(a, b):\n", + " return a + b" + ] + }, + { + "cell_type": "markdown", + "id": "041e8923", + "metadata": {}, + "source": [ + "Once we decorate the function, we can create a pydra `Task` and specify the input:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "681927f7", + "metadata": {}, + "outputs": [], + "source": [ + "task1 = add_var(a=4, b=5)" + ] + }, + { + "cell_type": "markdown", + "id": "6f502080", + "metadata": {}, + "source": [ + "We can check the type of `task1`:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b75e3741", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "pydra.engine.task.FunctionTask" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "type(task1)" + ] + }, + { + "cell_type": "markdown", + "id": "227dc61a", + "metadata": {}, + "source": [ + "and we can check if the task has correct values of `a` and `b`, they should be saved in the task `inputs`:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "80f2adee", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "a = 4\n", + "b = 5\n" + ] + } + ], + "source": [ + "print(f\"a = {task1.inputs.a}\")\n", + "print(f\"b = {task1.inputs.b}\")" + ] + }, + { + "cell_type": "markdown", + "id": "dfb975e7", + "metadata": {}, + "source": [ + "We can also check content of entire `inputs`:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "0ea415b5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Inputs(a=4, b=5, _func=b'\\x80\\x04\\x95\\xf0\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x8c\\x17cloudpickle.cloudpickle\\x94\\x8c\\x0e_make_function\\x94\\x93\\x94(h\\x00\\x8c\\r_builtin_type\\x94\\x93\\x94\\x8c\\x08CodeType\\x94\\x85\\x94R\\x94(K\\x02K\\x00K\\x02K\\x02KCC\\x08|\\x00|\\x01\\x17\\x00S\\x00\\x94N\\x85\\x94)\\x8c\\x01a\\x94\\x8c\\x01b\\x94\\x86\\x94\\x8cM/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2026/3542708107.py\\x94\\x8c\\x07add_var\\x94K\\x03C\\x02\\x00\\x02\\x94))t\\x94R\\x94}\\x94(\\x8c\\x0b__package__\\x94N\\x8c\\x08__name__\\x94\\x8c\\x08__main__\\x94uNNNt\\x94R\\x94\\x8c\\x1ccloudpickle.cloudpickle_fast\\x94\\x8c\\x12_function_setstate\\x94\\x93\\x94h\\x17}\\x94}\\x94(h\\x14h\\x0e\\x8c\\x0c__qualname__\\x94h\\x0e\\x8c\\x0f__annotations__\\x94}\\x94\\x8c\\x0e__kwdefaults__\\x94N\\x8c\\x0c__defaults__\\x94N\\x8c\\n__module__\\x94h\\x15\\x8c\\x07__doc__\\x94N\\x8c\\x0b__closure__\\x94N\\x8c\\x17_cloudpickle_submodules\\x94]\\x94\\x8c\\x0b__globals__\\x94}\\x94u\\x86\\x94\\x86R0.')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.inputs" + ] + }, + { + "cell_type": "markdown", + "id": "f5392c29", + "metadata": {}, + "source": [ + "As you could see, `task.inputs` contains also information about the function, that is an inseparable part of the `FunctionTask`.\n", + "\n", + "Once we have the task with set input, we can run it. Since `Task` is a \"callable object\", we can use the syntax:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "19201115", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=9), runtime=None, errored=False)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1()" + ] + }, + { + "cell_type": "markdown", + "id": "73d048f1", + "metadata": {}, + "source": [ + "As you can see, the result was returned right away, but we can also access it later:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "41cb0181", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=9), runtime=None, errored=False)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.result()" + ] + }, + { + "cell_type": "markdown", + "id": "079e4be5", + "metadata": {}, + "source": [ + "`Result` contains more than just an output, so if we want to get the task output, we can type:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e00e4d1c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "9" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result = task1.result()\n", + "result.output.out" + ] + }, + { + "cell_type": "markdown", + "id": "9720e54e", + "metadata": {}, + "source": [ + "And if we want to see the input that was used in the task, we can set an optional argument `return_inputs` to True." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "101883fd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "({'add_var.a': 4, 'add_var.b': 5},\n", + " Result(output=Output(out=9), runtime=None, errored=False))" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.result(return_inputs=True)" + ] + }, + { + "cell_type": "markdown", + "id": "3c6c18c6", + "metadata": {}, + "source": [ + "## Customizing output names\n", + "Note, that \"out\" is the default name for the task output, but we can always customize it. There are two ways of doing it: using *python* function annotation and using another *pydra* decorator:\n", + "\n", + "Let's start from the function annotation:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "321c83f7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(sum_a_b=9), runtime=None, errored=False)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import typing as ty\n", + "\n", + "@pydra.mark.task\n", + "def add_var_an(a, b) -> {\"sum_a_b\": int}:\n", + " return a + b\n", + "\n", + "\n", + "task1a = add_var_an(a=4, b=5)\n", + "task1a()" + ] + }, + { + "cell_type": "markdown", + "id": "4882df4f", + "metadata": {}, + "source": [ + "The annotation might be very useful to specify the output names when the function returns multiple values." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "5365dc50", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(fractional=0.5, integer=3.0), runtime=None, errored=False)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "def modf_an(a) -> {\"fractional\": ty.Any, \"integer\": ty.Any}:\n", + " import math\n", + " return math.modf(a)\n", + "\n", + "task2 = modf_an(a=3.5)\n", + "task2()" + ] + }, + { + "cell_type": "markdown", + "id": "6ea06b11", + "metadata": {}, + "source": [ + "The second way of customizing the output requires another decorator - `pydra.mark.annotate`" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "5cb9236a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(fractional=0.5, integer=3.0), runtime=None, errored=False)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"return\": {\"fractional\": ty.Any, \"integer\": ty.Any}})\n", + "def modf(a):\n", + " import math\n", + " return math.modf(a)\n", + "\n", + "task2a = modf(a=3.5)\n", + "task2a()" + ] + }, + { + "cell_type": "markdown", + "id": "501ebce1", + "metadata": {}, + "source": [ + "**Note, that the order of the pydra decorators is important!**" + ] + }, + { + "cell_type": "markdown", + "id": "a43f8f67", + "metadata": {}, + "source": [ + "## Setting the input\n", + "\n", + "We don't have to provide the input when we create a task, we can always set it later:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "783326db", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=9), runtime=None, errored=False)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task3 = add_var()\n", + "task3.inputs.a = 4\n", + "task3.inputs.b = 5\n", + "task3()" + ] + }, + { + "cell_type": "markdown", + "id": "2bd4ff19", + "metadata": {}, + "source": [ + "If we don't specify the input, `attr.NOTHING` will be used as the default value" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "084f4ffc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task3a = add_var()\n", + "task3a.inputs.a = 4\n", + "\n", + "# importing attr library, and checking the type pf `b`\n", + "import attr\n", + "task3a.inputs.b == attr.NOTHING" + ] + }, + { + "cell_type": "markdown", + "id": "33b6e49c", + "metadata": {}, + "source": [ + "And if we try to run the task, an error will be raised:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "60799c51", + "metadata": { + "tags": [ + "raises-exception" + ] + }, + "outputs": [ + { + "ename": "TypeError", + "evalue": "unsupported operand type(s) for +: 'int' and '_Nothing'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2026/3698768266.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtask3a\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, submitter, plugin, plugin_kwargs, rerun, **kwargs)\u001b[0m\n\u001b[1;32m 450\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 451\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# tasks without state could be run without a submitter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 452\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 453\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 454\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36m_run\u001b[0;34m(self, rerun, **kwargs)\u001b[0m\n\u001b[1;32m 504\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 505\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maudit\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmonitor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 506\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_task\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 507\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_collect_outputs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput_dir\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0moutput_dir\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 508\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/task.py\u001b[0m in \u001b[0;36m_run_task\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 190\u001b[0m \u001b[0;32mdel\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"_func\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 191\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 192\u001b[0;31m \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_func\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 193\u001b[0m \u001b[0moutput_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mel\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mel\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput_spec\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfields\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 194\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0moutput\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2026/3542708107.py\u001b[0m in \u001b[0;36madd_var\u001b[0;34m(a, b)\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mpydra\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmark\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtask\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0madd_var\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and '_Nothing'" + ] + } + ], + "source": [ + "task3a()" + ] + }, + { + "cell_type": "markdown", + "id": "bf6db782", + "metadata": {}, + "source": [ + "## Output directory and caching the results\n", + "\n", + "After running the task, we can check where the output directory with the results was created:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "c18472bf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PosixPath('/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmpshc1jznz/FunctionTask_83c0e4e7caf9e1b91a9298d989a17279429f3b317b9f60aa3f28937c8957f48d')" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task3.output_dir" + ] + }, + { + "cell_type": "markdown", + "id": "17bf3640", + "metadata": {}, + "source": [ + "Within the directory you can find the file with the results: `_result.pklz`." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "5b2b72e5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['_task.pklz', '_result.pklz']" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import os\n", + "os.listdir(task3.output_dir)" + ] + }, + { + "cell_type": "markdown", + "id": "56552894", + "metadata": {}, + "source": [ + "But we can also provide the path where we want to store the results. If a path is provided for the cache directory, then pydra will use the cached results of a node instead of recomputing the result. Let's create a temporary directory and a specific subdirectory \"task4\":" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "db4a021a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmp8ilk9c23/task4\n" + ] + } + ], + "source": [ + "from tempfile import mkdtemp\n", + "from pathlib import Path\n", + "cache_dir_tmp = Path(mkdtemp()) / \"task4\"\n", + "print(cache_dir_tmp)" + ] + }, + { + "cell_type": "markdown", + "id": "22af44c9", + "metadata": {}, + "source": [ + "Now we can pass this path to the argument of `FunctionTask` - `cache_dir`. To observe the execution time, we specify a function that is sleeping for 5s:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "2b5da2da", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "def add_var_wait(a, b):\n", + " import time\n", + " time.sleep(5)\n", + " return a + b\n", + "\n", + "task4 = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp)" + ] + }, + { + "cell_type": "markdown", + "id": "5a77a3f6", + "metadata": {}, + "source": [ + "If you're running the cell first time, it should take around 5s." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "b3f560ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=10), runtime=None, errored=False)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4()\n", + "task4.result()" + ] + }, + { + "cell_type": "markdown", + "id": "1c6885e9", + "metadata": {}, + "source": [ + "We can check `output_dir` of our task, it should contain the path of `cache_dir_tmp` and the last part contains the name of the task class `FunctionTask` and the task checksum:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "93bf6c45", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PosixPath('/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmp8ilk9c23/task4/FunctionTask_61b258bcd93fc0e38b07f3deee014fe1ddb5cea09eebc66b80d9fd2090c79f1e')" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4.output_dir" + ] + }, + { + "cell_type": "markdown", + "id": "1fa3ee63", + "metadata": {}, + "source": [ + "Let's see what happens when we defined identical task again with the same `cache_dir`:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "bea0b77d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=10), runtime=None, errored=False)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4a = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp)\n", + "task4a()" + ] + }, + { + "cell_type": "markdown", + "id": "07914208", + "metadata": {}, + "source": [ + "This time the result should be ready right away! *pydra* uses available results and do not recompute the task.\n", + "\n", + "*pydra* not only checks for the results in `cache_dir`, but you can provide a list of other locations that should be checked. Let's create another directory that will be used as `cache_dir` and previous working directory will be used in `cache_locations`." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "773e4434", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=10), runtime=None, errored=False)" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cache_dir_tmp_new = Path(mkdtemp()) / \"task4b\"\n", + "\n", + "task4b = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp_new, cache_locations=[cache_dir_tmp])\n", + "task4b()" + ] + }, + { + "cell_type": "markdown", + "id": "aa335ab6", + "metadata": {}, + "source": [ + "This time the results should be also returned quickly! And we can check that `task4b.output_dir` was not created:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "faba7acf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4b.output_dir.exists()" + ] + }, + { + "cell_type": "markdown", + "id": "bb0c6a3c", + "metadata": {}, + "source": [ + "If you want to rerun the task regardless having already the results, you can set `rerun` to `True`. The task will take several seconds and new `output_dir` will be created:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "dfb68a31", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cache_dir_tmp_new = Path(mkdtemp()) / \"task4c\"\n", + "\n", + "task4c = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp_new, cache_locations=[cache_dir_tmp])\n", + "task4c(rerun=True)\n", + "\n", + "task4c.output_dir.exists()" + ] + }, + { + "cell_type": "markdown", + "id": "50f23d6d", + "metadata": {}, + "source": [ + "If we update the input of the task, and run again, the new directory will be created and task will be recomputed:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "7cc4d9f3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result(output=Output(out=7), runtime=None, errored=False)\n", + "True\n" + ] + } + ], + "source": [ + "task4b.inputs.a = 1\n", + "print(task4b())\n", + "print(task4b.output_dir.exists())" + ] + }, + { + "cell_type": "markdown", + "id": "8b939a69", + "metadata": {}, + "source": [ + "and when we check the `output_dir`, we can see that it's different than last time:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "5c35d91e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PosixPath('/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmp8wd9f_or/task4b/FunctionTask_bc523c04f0488215dd6a15b0a149c012e4b456cec8c77c07148bbd9f3abd214d')" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4b.output_dir" + ] + }, + { + "cell_type": "markdown", + "id": "d666c2da", + "metadata": {}, + "source": [ + "This is because, the checksum changes when we change either input or function." + ] + }, + { + "cell_type": "markdown", + "id": "19648046", + "metadata": { + "solution2": "hidden", + "solution2_first": true + }, + "source": [ + "### Exercise 1\n", + "Create a task that take a list of numbers as an input and returns two fields: `mean` with the mean value and `std` with the standard deviation value." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "f3024e16", + "metadata": { + "tags": [ + "hide-cell" + ] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(mean=2, std=0.0), runtime=None, errored=False)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"return\": {\"mean\": ty.Any, \"std\": ty.Any}})\n", + "def mean_dev(my_list):\n", + " import statistics as st\n", + " return st.mean(my_list), st.stdev(my_list)\n", + "\n", + "my_task = mean_dev(my_list=[2, 2, 2])\n", + "my_task()\n", + "my_task.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "b504db3c", + "metadata": {}, + "outputs": [], + "source": [ + "# write your solution here (you can use statistics module)" + ] + }, + { + "cell_type": "markdown", + "id": "eca912e8", + "metadata": {}, + "source": [ + "## Using Audit\n", + "\n", + "*pydra* can record various run time information, including the workflow provenance, by setting `audit_flags` and the type of messengers. \n", + "\n", + "`AuditFlag.RESOURCE` allows you to monitor resource usage for the `Task`, while `AuditFlag.PROV` tracks the provenance of the `Task`." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "8e03c3f0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=9), runtime=Runtime(rss_peak_gb=0.068885802734375, vms_peak_gb=34.051189422851564, cpu_peak_percent=102.1), errored=False)" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from pydra.utils.messenger import AuditFlag, PrintMessenger\n", + "\n", + "task5 = add_var(a=4, b=5, audit_flags=AuditFlag.RESOURCE)\n", + "task5()\n", + "task5.result()" + ] + }, + { + "cell_type": "markdown", + "id": "c89085c5", + "metadata": {}, + "source": [ + "One can turn on both audit flags using `AuditFlag.ALL`, and print the messages on the terminal using the `PrintMessenger`." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "04113413", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "id: bab3b3fa52044888a8c9d7cae27d76fb\n", + "{\n", + " \"@context\": \"https://raw.githubusercontent.com/nipype/pydra/master/pydra/schema/context.jsonld\",\n", + " \"@id\": \"uid:0c7310bd0bf545f6a41393cbb5b4f824\",\n", + " \"@type\": \"task\",\n", + " \"startedAtTime\": \"2022-06-30T21:09:56.326172\"\n", + "}\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "id: 5f35f79ede714624a82520c6f4fbe737\n", + 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cpu_peak_percent=104.0), errored=False)" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task5 = add_var(a=4, b=5, audit_flags=AuditFlag.ALL, messengers=PrintMessenger())\n", + "task5()\n", + "task5.result()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f55fad65", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 13, + 18, 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language: python + name: python3 +--- + +# 2. FunctionTask + + +```{code-cell} ipython3 +--- +jupyter: + outputs_hidden: false +pycharm: + name: '#%% + + ' +--- +import nest_asyncio +nest_asyncio.apply() +``` + +A `FunctionTask` is a `Task` that can be created from every *python* function by using *pydra* decorator: `pydra.mark.task`: + +```{code-cell} ipython3 +import pydra + +@pydra.mark.task +def add_var(a, b): + return a + b +``` + +Once we decorate the function, we can create a pydra `Task` and specify the input: + +```{code-cell} ipython3 +task1 = add_var(a=4, b=5) +``` + +We can check the type of `task1`: + +```{code-cell} ipython3 +type(task1) +``` + +and we can check if the task has correct values of `a` and `b`, they should be saved in the task `inputs`: + +```{code-cell} ipython3 +print(f"a = {task1.inputs.a}") +print(f"b = {task1.inputs.b}") +``` + +We can also check content of entire `inputs`: + +```{code-cell} ipython3 +task1.inputs +``` + +As you could see, `task.inputs` contains also information about the function, that is an inseparable part of the `FunctionTask`. + +Once we have the task with set input, we can run it. Since `Task` is a "callable object", we can use the syntax: + +```{code-cell} ipython3 +task1() +``` + +As you can see, the result was returned right away, but we can also access it later: + +```{code-cell} ipython3 +task1.result() +``` + +`Result` contains more than just an output, so if we want to get the task output, we can type: + +```{code-cell} ipython3 +result = task1.result() +result.output.out +``` + +And if we want to see the input that was used in the task, we can set an optional argument `return_inputs` to True. + +```{code-cell} ipython3 +task1.result(return_inputs=True) +``` + +## Customizing output names +Note, that "out" is the default name for the task output, but we can always customize it. There are two ways of doing it: using *python* function annotation and using another *pydra* decorator: + +Let's start from the function annotation: + +```{code-cell} ipython3 +import typing as ty + +@pydra.mark.task +def add_var_an(a, b) -> {"sum_a_b": int}: + return a + b + + +task1a = add_var_an(a=4, b=5) +task1a() +``` + +The annotation might be very useful to specify the output names when the function returns multiple values. + +```{code-cell} ipython3 +@pydra.mark.task +def modf_an(a) -> {"fractional": ty.Any, "integer": ty.Any}: + import math + return math.modf(a) + +task2 = modf_an(a=3.5) +task2() +``` + +The second way of customizing the output requires another decorator - `pydra.mark.annotate` + +```{code-cell} ipython3 +@pydra.mark.task +@pydra.mark.annotate({"return": {"fractional": ty.Any, "integer": ty.Any}}) +def modf(a): + import math + return math.modf(a) + +task2a = modf(a=3.5) +task2a() +``` + +**Note, that the order of the pydra decorators is important!** + ++++ + +## Setting the input + +We don't have to provide the input when we create a task, we can always set it later: + +```{code-cell} ipython3 +task3 = add_var() +task3.inputs.a = 4 +task3.inputs.b = 5 +task3() +``` + +If we don't specify the input, `attr.NOTHING` will be used as the default value + +```{code-cell} ipython3 +task3a = add_var() +task3a.inputs.a = 4 + +# importing attr library, and checking the type pf `b` +import attr +task3a.inputs.b == attr.NOTHING +``` + +And if we try to run the task, an error will be raised: + +```{code-cell} ipython3 +:tags: [raises-exception] + +task3a() +``` + +## Output directory and caching the results + +After running the task, we can check where the output directory with the results was created: + +```{code-cell} ipython3 +task3.output_dir +``` + +Within the directory you can find the file with the results: `_result.pklz`. + +```{code-cell} ipython3 +import os +os.listdir(task3.output_dir) +``` + +But we can also provide the path where we want to store the results. If a path is provided for the cache directory, then pydra will use the cached results of a node instead of recomputing the result. Let's create a temporary directory and a specific subdirectory "task4": + +```{code-cell} ipython3 +from tempfile import mkdtemp +from pathlib import Path +cache_dir_tmp = Path(mkdtemp()) / "task4" +print(cache_dir_tmp) +``` + +Now we can pass this path to the argument of `FunctionTask` - `cache_dir`. To observe the execution time, we specify a function that is sleeping for 5s: + +```{code-cell} ipython3 +@pydra.mark.task +def add_var_wait(a, b): + import time + time.sleep(5) + return a + b + +task4 = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp) +``` + +If you're running the cell first time, it should take around 5s. + +```{code-cell} ipython3 +task4() +task4.result() +``` + +We can check `output_dir` of our task, it should contain the path of `cache_dir_tmp` and the last part contains the name of the task class `FunctionTask` and the task checksum: + +```{code-cell} ipython3 +task4.output_dir +``` + +Let's see what happens when we defined identical task again with the same `cache_dir`: + +```{code-cell} ipython3 +task4a = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp) +task4a() +``` + +This time the result should be ready right away! *pydra* uses available results and do not recompute the task. + +*pydra* not only checks for the results in `cache_dir`, but you can provide a list of other locations that should be checked. Let's create another directory that will be used as `cache_dir` and previous working directory will be used in `cache_locations`. + +```{code-cell} ipython3 +cache_dir_tmp_new = Path(mkdtemp()) / "task4b" + +task4b = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp_new, cache_locations=[cache_dir_tmp]) +task4b() +``` + +This time the results should be also returned quickly! And we can check that `task4b.output_dir` was not created: + +```{code-cell} ipython3 +task4b.output_dir.exists() +``` + +If you want to rerun the task regardless having already the results, you can set `rerun` to `True`. The task will take several seconds and new `output_dir` will be created: + +```{code-cell} ipython3 +cache_dir_tmp_new = Path(mkdtemp()) / "task4c" + +task4c = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp_new, cache_locations=[cache_dir_tmp]) +task4c(rerun=True) + +task4c.output_dir.exists() +``` + +If we update the input of the task, and run again, the new directory will be created and task will be recomputed: + +```{code-cell} ipython3 +task4b.inputs.a = 1 +print(task4b()) +print(task4b.output_dir.exists()) +``` + +and when we check the `output_dir`, we can see that it's different than last time: + +```{code-cell} ipython3 +task4b.output_dir +``` + +This is because, the checksum changes when we change either input or function. + ++++ {"solution2": "hidden", "solution2_first": true} + +### Exercise 1 +Create a task that take a list of numbers as an input and returns two fields: `mean` with the mean value and `std` with the standard deviation value. + +```{code-cell} ipython3 +:tags: [hide-cell] + +@pydra.mark.task +@pydra.mark.annotate({"return": {"mean": ty.Any, "std": ty.Any}}) +def mean_dev(my_list): + import statistics as st + return st.mean(my_list), st.stdev(my_list) + +my_task = mean_dev(my_list=[2, 2, 2]) +my_task() +my_task.result() +``` + +```{code-cell} ipython3 +# write your solution here (you can use statistics module) +``` + +## Using Audit + +*pydra* can record various run time information, including the workflow provenance, by setting `audit_flags` and the type of messengers. + +`AuditFlag.RESOURCE` allows you to monitor resource usage for the `Task`, while `AuditFlag.PROV` tracks the provenance of the `Task`. + +```{code-cell} ipython3 +from pydra.utils.messenger import AuditFlag, PrintMessenger + +task5 = add_var(a=4, b=5, audit_flags=AuditFlag.RESOURCE) +task5() +task5.result() +``` + +One can turn on both audit flags using `AuditFlag.ALL`, and print the messages on the terminal using the `PrintMessenger`. + +```{code-cell} ipython3 +task5 = add_var(a=4, b=5, audit_flags=AuditFlag.ALL, messengers=PrintMessenger()) +task5() +task5.result() +``` + +```{code-cell} ipython3 + +``` diff --git a/jupyterbook/_build/html/_sources/notebooks/3_intro_functiontask_state.ipynb b/jupyterbook/_build/html/_sources/notebooks/3_intro_functiontask_state.ipynb new file mode 100644 index 0000000..708b6ab --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/3_intro_functiontask_state.ipynb @@ -0,0 +1,1255 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f21627f7", + "metadata": {}, + "source": [ + "# 3. Tasks with States\n", + "\n", + "Task might be run for a single set of input values or we can generate multiple sets, that will be called \"states\". If we want to run our `Task` multiple times we have to provide an input that is an iterable and specify the way we want to map values of the inputs to the specific states. In order to do it, we set so-called `splitter`. \n", + "\n", + "Let's start from a simple `FunctionTask` that takes a list as an input:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "09cd5544", + "metadata": { + "jupyter": { + "outputs_hidden": false + }, + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "8c8d7d03", + "metadata": {}, + "outputs": [], + "source": [ + "import pydra\n", + "\n", + "@pydra.mark.task\n", + "def add_two(x):\n", + " return x + 2\n", + "\n", + "task1 = add_two(x=[1, 2, 3])" + ] + }, + { + "cell_type": "markdown", + "id": "360d12c4", + "metadata": {}, + "source": [ + "Before we set any splitter, the task's `state` should be `None`" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9864c58a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.state is None" + ] + }, + { + "cell_type": "markdown", + "id": "079e637b", + "metadata": {}, + "source": [ + "Now, we can set the `splitter` by using the `split` method. Since our task has only one input, there is only one option to create a set of inputs, i.e. `splitter=\"x\"`:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ad82b03e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.split(\"x\")" + ] + }, + { + "cell_type": "markdown", + "id": "ede1cdfa", + "metadata": {}, + "source": [ + "Now, we can check that our task has a `state`:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "6ba1128d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.state" + ] + }, + { + "cell_type": "markdown", + "id": "a2fc23d8", + "metadata": {}, + "source": [ + "And we can print information about the state:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2c8645a7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "State for add_two with a splitter: add_two.x and combiner: []\n" + ] + } + ], + "source": [ + "print(task1.state)" + ] + }, + { + "cell_type": "markdown", + "id": "af62a0a2", + "metadata": {}, + "source": [ + "within the `state` information about the splitter has been stored:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a30af144", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'add_two.x'" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.state.splitter" + ] + }, + { + "cell_type": "markdown", + "id": "7602e9e3", + "metadata": {}, + "source": [ + "Note, that *pydra* adds name of the function to the name of the input.\n", + "\n", + "Now, we can run the task and check results:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "724eb1aa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=3), runtime=None, errored=False),\n", + " Result(output=Output(out=4), runtime=None, errored=False),\n", + " Result(output=Output(out=5), runtime=None, errored=False)]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1()\n", + "task1.result()" + ] + }, + { + "cell_type": "markdown", + "id": "87d09c0a", + "metadata": {}, + "source": [ + "We can also return results together with values of the input, we just have to set an additional argument `return_inputs` to `True` (or `val`)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "9be8eaed", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[({'add_two.x': 1}, Result(output=Output(out=3), runtime=None, errored=False)),\n", + " ({'add_two.x': 2}, Result(output=Output(out=4), runtime=None, errored=False)),\n", + " ({'add_two.x': 3}, Result(output=Output(out=5), runtime=None, errored=False))]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.result(return_inputs=True)" + ] + }, + { + "cell_type": "markdown", + "id": "847d27ea", + "metadata": {}, + "source": [ + "If we want to return indices instead of values, we can set `return_inputs` to `ind`" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f2d07eff", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[({'add_two.x': 0}, Result(output=Output(out=3), runtime=None, errored=False)),\n", + " ({'add_two.x': 1}, Result(output=Output(out=4), runtime=None, errored=False)),\n", + " ({'add_two.x': 2}, Result(output=Output(out=5), runtime=None, errored=False))]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task1.result(return_inputs=\"ind\")" + ] + }, + { + "cell_type": "markdown", + "id": "169dccea", + "metadata": {}, + "source": [ + "For tasks with a state *pydra* prepare all sets of inputs and run the task for each of the set. We could simply represent this by the following figure:" + ] + }, + { + "cell_type": "markdown", + "id": "a08f9e73", + "metadata": {}, + "source": [ + "![nd_spl_1.png](../figures/nd_spl_1.png)" + ] + }, + { + "cell_type": "markdown", + "id": "4e988781", + "metadata": {}, + "source": [ + "## Multiple inputs and state splitting\n", + "\n", + "We can also use `State` for functions with multiple inputs:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b4f3fbdd", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "def add_var(a, b):\n", + " return a + b" + ] + }, + { + "cell_type": "markdown", + "id": "b98968cd", + "metadata": {}, + "source": [ + "Now we have more options to define `splitter`, it depends on the type of inputs and on our application. For example, we could have `a` that is a list, `b` that is a single value, and split over `a` values:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e8205b44", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=12), runtime=None, errored=False),\n", + " Result(output=Output(out=13), runtime=None, errored=False)]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task2 = add_var(a=[1, 2, 3], b=10).split(\"a\")\n", + "task2()\n", + "task2.result()" + ] + }, + { + "cell_type": "markdown", + "id": "4d20ff0a", + "metadata": {}, + "source": [ + "Now we have three results for each element from the `a` list and the value of `b` is always the same." + ] + }, + { + "cell_type": "markdown", + "id": "d04e96c2", + "metadata": {}, + "source": [ + "![nd_spl_2.png](../figures/nd_spl_2.png)" + ] + }, + { + "cell_type": "markdown", + "id": "fc2a2915", + "metadata": {}, + "source": [ + "But we can have lists for both inputs, and use both inputs in the splitter. Let's assume that `a` and `b` are two elements lists." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "b467311f", + "metadata": {}, + "outputs": [], + "source": [ + "task3 = add_var(a=[1, 2], b=[10, 100])" + ] + }, + { + "cell_type": "markdown", + "id": "084c87a3", + "metadata": {}, + "source": [ + "Now, we have two options to map the input values, we might want to run the task for two sets of values: (`a`=1, `b`=10) and (`a`=2, `b`=100), or we might want to run the task for four sets: (`a`=1, `b`=10), (`a`=1, `b`=100), (`a`=2, `b`=10) and (`a`=2, `b`=100). \n", + "\n", + "**The first situation will be represented by the so-called \"scalar\" splitter, the later by the so-called \"outer\" splitter.**" + ] + }, + { + "cell_type": "markdown", + "id": "02d70121", + "metadata": {}, + "source": [ + "### Scalar splitter\n", + "\n", + "Let's start from the scalar splitter, that uses parentheses in the syntax:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f2bed7e2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=102), runtime=None, errored=False)]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task3.split((\"a\", \"b\"))\n", + "task3()\n", + "task3.result()" + ] + }, + { + "cell_type": "markdown", + "id": "7f94086a", + "metadata": {}, + "source": [ + "As we expected, we have two outputs: `1+10=11` and `2+100=102`. \n", + "\n", + "We can represent the execution by the graph:" + ] + }, + { + "cell_type": "markdown", + "id": "c66bd162", + "metadata": {}, + "source": [ + "![nd_spl_4.png](../figures/nd_spl_4.png)" + ] + }, + { + "cell_type": "markdown", + "id": "1bcaface", + "metadata": {}, + "source": [ + "### Outer splitter\n", + "\n", + "For the outer splitter we will use brackets:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "3e5d2d66", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=101), runtime=None, errored=False),\n", + " Result(output=Output(out=12), runtime=None, errored=False),\n", + " Result(output=Output(out=102), runtime=None, errored=False)]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task4 = add_var(a=[1, 2], b=[10, 100])\n", + "task4.split([\"a\", \"b\"])\n", + "task4()\n", + "task4.result()" + ] + }, + { + "cell_type": "markdown", + "id": "7322137e", + "metadata": {}, + "source": [ + "Now, we have results for all of the combinations of values from `a` and `b`." + ] + }, + { + "cell_type": "markdown", + "id": "24837931", + "metadata": {}, + "source": [ + "![nd_spl_3.png](../figures/nd_spl_3.png)" + ] + }, + { + "cell_type": "markdown", + "id": "5c6525b1", + "metadata": {}, + "source": [ + "Note, that once you set the splitter, you will get error when you try to set the splitter again. However, you can always set `overwrite` to `True` if you really intend to change the splitter." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "48c43156", + "metadata": { + "tags": [ + "raises-exception" + ] + }, + "outputs": [ + { + "ename": "Exception", + "evalue": "splitter has been already set, if you want to overwrite it - use overwrite=True", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mException\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2373/2635338667.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtask4\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"a\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"b\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36msplit\u001b[0;34m(self, splitter, overwrite, cont_dim, **kwargs)\u001b[0m\n\u001b[1;32m 557\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0moverwrite\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplitter\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0msplitter\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 558\u001b[0m raise Exception(\n\u001b[0;32m--> 559\u001b[0;31m \u001b[0;34m\"splitter has been already set, \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 560\u001b[0m \u001b[0;34m\"if you want to overwrite it - use overwrite=True\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 561\u001b[0m )\n", + "\u001b[0;31mException\u001b[0m: splitter has been already set, if you want to overwrite it - use overwrite=True" + ] + } + ], + "source": [ + "task4.split((\"a\", \"b\"))" + ] + }, + { + "cell_type": "markdown", + "id": "d7baeb8d", + "metadata": {}, + "source": [ + "For more inputs we can create more complex splitter, and use scalar and outer splitters together. **Note, that the scalar splitter can only work for lists that have the same length, but the outer splitter doesn't have this limitation.** \n", + "\n", + "Let's run one more example that takes four inputs, `x` and `y` components of two vectors, and calculates all possible sums of vectors. `x` components should be kept together with corresponding `y` components (i.e. scalar splitters: `(\"x1\", \"y1\")` and `(\"x2\", \"y2\")`), but we should use outer splitter for two vectors to get all combinations." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "45203f9f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=(20, 11)), runtime=None, errored=False),\n", + " Result(output=Output(out=(30, 21)), runtime=None, errored=False),\n", + " Result(output=Output(out=(40, 31)), runtime=None, errored=False),\n", + " Result(output=Output(out=(30, 12)), runtime=None, errored=False),\n", + " Result(output=Output(out=(40, 22)), runtime=None, errored=False),\n", + " Result(output=Output(out=(50, 32)), runtime=None, errored=False)]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "def add_vector(x1, y1, x2, y2):\n", + " return (x1 + x2, y1 + y2)\n", + "\n", + "task5 = add_vector(name=\"add_vect\", output_names=[\"x\", \"y\"], \n", + " x1=[10, 20], y1=[1, 2], x2=[10, 20, 30], y2=[10, 20, 30])\n", + "task5.split(splitter=[(\"x1\", \"y1\"), (\"x2\", \"y2\")])\n", + "task5()\n", + "task5.result()" + ] + }, + { + "cell_type": "markdown", + "id": "f59957a5", + "metadata": {}, + "source": [ + "We should get six outputs: two elements for vector1 times three elements for vector2." + ] + }, + { + "cell_type": "markdown", + "id": "2481b3fb", + "metadata": {}, + "source": [ + "## Combining the output\n", + "\n", + "When we use `splitter`, we can also define `combiner`, if we want to combine together the results.\n", + "\n", + "If we take the `task4` as an example and combine all results for each element of the input `b`, we can modify the task as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "1f1a4504", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=101), runtime=None, errored=False)],\n", + " [Result(output=Output(out=12), runtime=None, errored=False),\n", + " Result(output=Output(out=102), runtime=None, errored=False)]]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task5 = add_var(a=[1, 2], b=[10, 100])\n", + "task5.split([\"a\", \"b\"])\n", + "# adding combiner\n", + "task5.combine(\"b\")\n", + "task5()\n", + "task5.result()" + ] + }, + { + "cell_type": "markdown", + "id": "32a1c7fb", + "metadata": {}, + "source": [ + "Now our result contains two elements, each one is a list. The first one contains results for `a=1` and both values of `b`, and the second contains results for `a=2` and both values of `b`. Let's print the result again using `return_inputs`:" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "938f14be", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "first list, a=1: [({'add_var.a': 1, 'add_var.b': 10}, Result(output=Output(out=11), runtime=None, errored=False)), ({'add_var.a': 1, 'add_var.b': 100}, Result(output=Output(out=101), runtime=None, errored=False))]\n", + "\n", + " second list, a=2: [({'add_var.a': 2, 'add_var.b': 10}, Result(output=Output(out=12), runtime=None, errored=False)), ({'add_var.a': 2, 'add_var.b': 100}, Result(output=Output(out=102), runtime=None, errored=False))]\n" + ] + } + ], + "source": [ + "all_results = task5.result(return_inputs=True)\n", + "print(f\"first list, a=1: {all_results[0]}\")\n", + "print(f\"\\n second list, a=2: {all_results[1]}\")" + ] + }, + { + "cell_type": "markdown", + "id": "782c09fa", + "metadata": {}, + "source": [ + "![nd_spl_3_comb1.png](../figures/nd_spl_3_comb1.png)" + ] + }, + { + "cell_type": "markdown", + "id": "7edbe8d2", + "metadata": {}, + "source": [ + "But we could also group all elements from the input `a` and have a different combined output:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "ab54af19", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=12), runtime=None, errored=False)],\n", + " [Result(output=Output(out=101), runtime=None, errored=False),\n", + " Result(output=Output(out=102), runtime=None, errored=False)]]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task6 = add_var(a=[1, 2], b=[10, 100])\n", + "task6.split([\"a\", \"b\"])\n", + "# changing the combiner\n", + "task6.combine(\"a\")\n", + "task6()\n", + "task6.result()" + ] + }, + { + "cell_type": "markdown", + "id": "a736c473", + "metadata": {}, + "source": [ + "We still have two elements in our results, but this time the first element contains results for `b=10` and both values of `a`, and the second contains results for `b=100` and both values of `a`." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "efe84e1c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "first list, b=10: [({'add_var.a': 1, 'add_var.b': 10}, Result(output=Output(out=11), runtime=None, errored=False)), ({'add_var.a': 2, 'add_var.b': 10}, Result(output=Output(out=12), runtime=None, errored=False))]\n", + "\n", + " second list, b=100: [({'add_var.a': 1, 'add_var.b': 100}, Result(output=Output(out=101), runtime=None, errored=False)), ({'add_var.a': 2, 'add_var.b': 100}, Result(output=Output(out=102), runtime=None, errored=False))]\n" + ] + } + ], + "source": [ + "all_results = task6.result(return_inputs=True)\n", + "print(f\"first list, b=10: {all_results[0]}\")\n", + "print(f\"\\n second list, b=100: {all_results[1]}\")" + ] + }, + { + "cell_type": "markdown", + "id": "4a622122", + "metadata": {}, + "source": [ + "![nd_spl_3_comb2.png](../figures/nd_spl_3_comb2.png)" + ] + }, + { + "cell_type": "markdown", + "id": "ec42713a", + "metadata": {}, + "source": [ + "We can also combine all elements by providing a list of all inputs to the `combiner`:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "75a10a69", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=11), runtime=None, errored=False),\n", + " Result(output=Output(out=101), runtime=None, errored=False),\n", + " Result(output=Output(out=12), runtime=None, errored=False),\n", + " Result(output=Output(out=102), runtime=None, errored=False)]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task7 = add_var(a=[1, 2], b=[10, 100])\n", + "task7.split([\"a\", \"b\"])\n", + "# combining all inputs\n", + "task7.combine([\"a\", \"b\"])\n", + "task7()\n", + "task7.result()" + ] + }, + { + "cell_type": "markdown", + "id": "d5529fa0", + "metadata": {}, + "source": [ + "This time the output contains one element that is a list of all outputs:" + ] + }, + { + "cell_type": "markdown", + "id": "51aa8dea", + "metadata": {}, + "source": [ + "![nd_spl_3_comb3.png](../figures/nd_spl_3_comb3.png)" + ] + }, + { + "cell_type": "markdown", + "id": "b630646c", + "metadata": {}, + "source": [ + "## Lists as an input\n", + "\n", + "Note that list can be used as an input even without using any splitter, there are functions that take a list as a single input value:" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "ace72a2d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=33.0), runtime=None, errored=False)" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "def moment(lst, n):\n", + " return sum([i ** n for i in lst]) / len(lst)\n", + "\n", + "task8 = moment(n=3, lst=[2, 3, 4])\n", + "\n", + "task8()\n", + "task8.result()" + ] + }, + { + "cell_type": "markdown", + "id": "a913521b", + "metadata": {}, + "source": [ + "## Exercise 1\n", + "\n", + "Let's say we want to calculate squares and cubes of integers from 2 to 5, and combine separately all squares and all cubes:" + ] + }, + { + "cell_type": "markdown", + "id": "26bdec4b", + "metadata": {}, + "source": [ + "First we will define a function that returns powers:" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "be626187", + "metadata": { + "tags": [ + "hide-cell" + ] + }, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "def power(x, n):\n", + " return x**n" + ] + }, + { + "cell_type": "markdown", + "id": "4ae12d78", + "metadata": {}, + "source": [ + "Now we can create a task that takes two lists as its input, outer splitter for `x` and `n`, and combine all `x`:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "ddcfb813", + "metadata": { + "tags": [ + "hide-cell" + ] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[[Result(output=Output(out=4), runtime=None, errored=False),\n", + " Result(output=Output(out=9), runtime=None, errored=False),\n", + " Result(output=Output(out=16), runtime=None, errored=False),\n", + " Result(output=Output(out=25), runtime=None, errored=False)],\n", + " [Result(output=Output(out=8), runtime=None, errored=False),\n", + " Result(output=Output(out=27), runtime=None, errored=False),\n", + " Result(output=Output(out=64), runtime=None, errored=False),\n", + " Result(output=Output(out=125), runtime=None, errored=False)]]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "task_ex1 = power(x=[2, 3, 4, 5], n=[2, 3]).split([\"x\", \"n\"]).combine(\"x\")\n", + "task_ex1()\n", + "task_ex1.result()" + ] + }, + { + "cell_type": "markdown", + "id": "b0884172", + "metadata": {}, + "source": [ + "The result should contain two list, the first one is for squares, the second for cubes." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "937b10ec", + "metadata": { + "tags": [ + "hide-cell" + ] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "squares: [4, 9, 16, 25]\n", + "cubes: [8, 27, 64, 125]\n" + ] + } + ], + "source": [ + "squares_list = [el.output.out for el in task_ex1.result()[0]]\n", + "cubes_list = [el.output.out for el in task_ex1.result()[1]]\n", + "print(f\"squares: {squares_list}\")\n", + "print(f\"cubes: {cubes_list}\")" + ] + }, + { + "cell_type": "markdown", + "id": "b0eee47c", + "metadata": {}, + "source": [ + "## Parallel execution\n", + "\n", + "We run task multiple times for multiple sets of input, but we didn't talk about the execution time. Let's create a function that sleeps for a second and run for four values:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "bd9fe792", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total time: 1.3097989559173584\n" + ] + }, + { + "data": { + "text/plain": [ + "[Result(output=Output(out=3), runtime=None, errored=False),\n", + " Result(output=Output(out=4), runtime=None, errored=False),\n", + " Result(output=Output(out=5), runtime=None, errored=False),\n", + " Result(output=Output(out=6), runtime=None, errored=False)]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import time\n", + "\n", + "@pydra.mark.task\n", + "def add_two_sleep(x):\n", + " time.sleep(1)\n", + " return x + 2\n", + "\n", + "task9 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n", + "t0 = time.time()\n", + "task9()\n", + "print(f'total time: {time.time() - t0}')\n", + "task9.result()" + ] + }, + { + "cell_type": "markdown", + "id": "5e74e29f", + "metadata": {}, + "source": [ + "The total time will depend on the machine you are using, but it could be below `1.1s`, so clearly the tasks are running in parallel!\n", + "\n", + "If we run `Task` that has a `State`, pydra will automatically create a `Submitter` with a default `Worker` that is `cf`, i.e. `concurrent.futures.ProcessPoolExecutor`.\n", + "\n", + "We could also create a `Submitter` first, and than use it to run the task:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "aaefc356", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total time: 1.347938060760498\n", + "results: [Result(output=Output(out=3), runtime=None, errored=False), Result(output=Output(out=4), runtime=None, errored=False), Result(output=Output(out=5), runtime=None, errored=False), Result(output=Output(out=6), runtime=None, errored=False)]\n" + ] + } + ], + "source": [ + "task10 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n", + "\n", + "t0 = time.time()\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " task10(submitter=sub)\n", + "print(f'total time: {time.time() - t0}')\n", + "print(f\"results: {task10.result()}\")" + ] + }, + { + "cell_type": "markdown", + "id": "548f3a16", + "metadata": {}, + "source": [ + "or we can provide the name of the plugin:" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "e41418e6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total time: 1.339102029800415\n", + "results: [Result(output=Output(out=3), runtime=None, errored=False), Result(output=Output(out=4), runtime=None, errored=False), Result(output=Output(out=5), runtime=None, errored=False), Result(output=Output(out=6), runtime=None, errored=False)]\n" + ] + } + ], + "source": [ + "task11 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n", + "\n", + "t0 = time.time()\n", + "task11(plugin=\"cf\")\n", + "print(f'total time: {time.time() - t0}')\n", + "print(f\"results: {task11.result()}\")" + ] + }, + { + "cell_type": "markdown", + "id": "4044f0cf", + "metadata": {}, + "source": [ + "The last option for running the task is to create a `Submitter` first and run the submitter (`Submitter` is also a callable object) with the task as a `runnable`:" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "a96d8b20", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total time: 1.3082010746002197\n", + "results: [Result(output=Output(out=3), runtime=None, errored=False), Result(output=Output(out=4), runtime=None, errored=False), Result(output=Output(out=5), runtime=None, errored=False), Result(output=Output(out=6), runtime=None, errored=False)]\n" + ] + } + ], + "source": [ + "task12 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n", + "\n", + "t0 = time.time()\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(runnable=task12)\n", + "print(f'total time: {time.time() - t0}')\n", + "print(f\"results: {task12.result()}\")" + ] + }, + { + "cell_type": "markdown", + "id": "07a4ad69", + "metadata": {}, + "source": [ + "All of the execution time should be similar, since all tasks are run by *pydra* in the same way, i.e. *pydra* creates a submitter with `ConcurrentFutures` worker, if a number of processors is not provided, `ConcurrentFutures` takes all available processors as `max_workers`. However, if we want to set a specific number of processors, we can set it using `n_procs` when creating a `Submitter`. Let's see how the execution time changes when we use `n_procs=2`." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "d57c5a2d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "total time: 2.364259719848633\n", + "results: [Result(output=Output(out=3), runtime=None, errored=False), Result(output=Output(out=4), runtime=None, errored=False), Result(output=Output(out=5), runtime=None, errored=False), Result(output=Output(out=6), runtime=None, errored=False)]\n" + ] + } + ], + "source": [ + "task13 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n", + "\n", + "t0 = time.time()\n", + "with pydra.Submitter(plugin=\"cf\", n_procs=2) as sub:\n", + " sub(runnable=task13)\n", + "print(f'total time: {time.time() - t0}')\n", + "print(f\"results: {task13.result()}\")" + ] + }, + { + "cell_type": "markdown", + "id": "ac441903", + "metadata": {}, + "source": [ + "Now, the total time could be significantly different. For example, if your machine has at least 4 processors, the previous `tasks9` - `task12` took around 1s to run, but the task13 took around 2s.\n", + "If you have 2 processors or less, you should not see any difference in the execution time." + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 13, + 21, + 34, + 42, + 46, + 48, + 52, + 54, + 58, + 60, + 64, + 66, + 70, + 72, + 78, + 81, + 85, + 87, + 91, + 93, + 97, + 101, + 107, + 111, + 115, + 119, + 123, + 127, + 131, + 133, + 139, + 145, + 149, + 155, + 159, + 165, + 170, + 174, + 178, + 182, + 186, + 192, + 202, + 206, + 214, + 221, + 225, + 229, + 233, + 237, + 244, + 248, + 252, + 256, + 260, + 267, + 271, + 275, + 281, + 292, + 298, + 302, + 310, + 314, + 322, + 326, + 333, + 339, + 352, + 360, + 368, + 372, + 379, + 383, + 391, + 395, + 403 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/jupyterbook/_build/html/_sources/notebooks/3_intro_functiontask_state.md b/jupyterbook/_build/html/_sources/notebooks/3_intro_functiontask_state.md new file mode 100644 index 0000000..694f4e6 --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/3_intro_functiontask_state.md @@ -0,0 +1,406 @@ +--- +jupytext: + formats: ipynb,md:myst + text_representation: + extension: .md + format_name: myst + format_version: 0.13 + jupytext_version: 1.13.8 +kernelspec: + display_name: Python 3 + language: python + name: python3 +--- + +# 3. Tasks with States + +Task might be run for a single set of input values or we can generate multiple sets, that will be called "states". If we want to run our `Task` multiple times we have to provide an input that is an iterable and specify the way we want to map values of the inputs to the specific states. In order to do it, we set so-called `splitter`. + +Let's start from a simple `FunctionTask` that takes a list as an input: + +```{code-cell} ipython3 +--- +jupyter: + outputs_hidden: false +pycharm: + name: '#%% + + ' +--- +import nest_asyncio +nest_asyncio.apply() +``` + +```{code-cell} ipython3 +import pydra + +@pydra.mark.task +def add_two(x): + return x + 2 + +task1 = add_two(x=[1, 2, 3]) +``` + +Before we set any splitter, the task's `state` should be `None` + +```{code-cell} ipython3 +task1.state is None +``` + +Now, we can set the `splitter` by using the `split` method. Since our task has only one input, there is only one option to create a set of inputs, i.e. `splitter="x"`: + +```{code-cell} ipython3 +task1.split("x") +``` + +Now, we can check that our task has a `state`: + +```{code-cell} ipython3 +task1.state +``` + +And we can print information about the state: + +```{code-cell} ipython3 +print(task1.state) +``` + +within the `state` information about the splitter has been stored: + +```{code-cell} ipython3 +task1.state.splitter +``` + +Note, that *pydra* adds name of the function to the name of the input. + +Now, we can run the task and check results: + +```{code-cell} ipython3 +task1() +task1.result() +``` + +We can also return results together with values of the input, we just have to set an additional argument `return_inputs` to `True` (or `val`) + +```{code-cell} ipython3 +task1.result(return_inputs=True) +``` + +If we want to return indices instead of values, we can set `return_inputs` to `ind` + +```{code-cell} ipython3 +task1.result(return_inputs="ind") +``` + +For tasks with a state *pydra* prepare all sets of inputs and run the task for each of the set. We could simply represent this by the following figure: + ++++ + +![nd_spl_1.png](../figures/nd_spl_1.png) + ++++ + +## Multiple inputs and state splitting + +We can also use `State` for functions with multiple inputs: + +```{code-cell} ipython3 +@pydra.mark.task +def add_var(a, b): + return a + b +``` + +Now we have more options to define `splitter`, it depends on the type of inputs and on our application. For example, we could have `a` that is a list, `b` that is a single value, and split over `a` values: + +```{code-cell} ipython3 +task2 = add_var(a=[1, 2, 3], b=10).split("a") +task2() +task2.result() +``` + +Now we have three results for each element from the `a` list and the value of `b` is always the same. + ++++ + +![nd_spl_2.png](../figures/nd_spl_2.png) + ++++ + +But we can have lists for both inputs, and use both inputs in the splitter. Let's assume that `a` and `b` are two elements lists. + +```{code-cell} ipython3 +task3 = add_var(a=[1, 2], b=[10, 100]) +``` + +Now, we have two options to map the input values, we might want to run the task for two sets of values: (`a`=1, `b`=10) and (`a`=2, `b`=100), or we might want to run the task for four sets: (`a`=1, `b`=10), (`a`=1, `b`=100), (`a`=2, `b`=10) and (`a`=2, `b`=100). + +**The first situation will be represented by the so-called "scalar" splitter, the later by the so-called "outer" splitter.** + ++++ + +### Scalar splitter + +Let's start from the scalar splitter, that uses parentheses in the syntax: + +```{code-cell} ipython3 +task3.split(("a", "b")) +task3() +task3.result() +``` + +As we expected, we have two outputs: `1+10=11` and `2+100=102`. + +We can represent the execution by the graph: + ++++ + +![nd_spl_4.png](../figures/nd_spl_4.png) + ++++ + +### Outer splitter + +For the outer splitter we will use brackets: + +```{code-cell} ipython3 +task4 = add_var(a=[1, 2], b=[10, 100]) +task4.split(["a", "b"]) +task4() +task4.result() +``` + +Now, we have results for all of the combinations of values from `a` and `b`. + ++++ + +![nd_spl_3.png](../figures/nd_spl_3.png) + ++++ + +Note, that once you set the splitter, you will get error when you try to set the splitter again. However, you can always set `overwrite` to `True` if you really intend to change the splitter. + +```{code-cell} ipython3 +:tags: [raises-exception] + +task4.split(("a", "b")) +``` + +For more inputs we can create more complex splitter, and use scalar and outer splitters together. **Note, that the scalar splitter can only work for lists that have the same length, but the outer splitter doesn't have this limitation.** + +Let's run one more example that takes four inputs, `x` and `y` components of two vectors, and calculates all possible sums of vectors. `x` components should be kept together with corresponding `y` components (i.e. scalar splitters: `("x1", "y1")` and `("x2", "y2")`), but we should use outer splitter for two vectors to get all combinations. + +```{code-cell} ipython3 +@pydra.mark.task +def add_vector(x1, y1, x2, y2): + return (x1 + x2, y1 + y2) + +task5 = add_vector(name="add_vect", output_names=["x", "y"], + x1=[10, 20], y1=[1, 2], x2=[10, 20, 30], y2=[10, 20, 30]) +task5.split(splitter=[("x1", "y1"), ("x2", "y2")]) +task5() +task5.result() +``` + +We should get six outputs: two elements for vector1 times three elements for vector2. + ++++ + +## Combining the output + +When we use `splitter`, we can also define `combiner`, if we want to combine together the results. + +If we take the `task4` as an example and combine all results for each element of the input `b`, we can modify the task as follows: + +```{code-cell} ipython3 +task5 = add_var(a=[1, 2], b=[10, 100]) +task5.split(["a", "b"]) +# adding combiner +task5.combine("b") +task5() +task5.result() +``` + +Now our result contains two elements, each one is a list. The first one contains results for `a=1` and both values of `b`, and the second contains results for `a=2` and both values of `b`. Let's print the result again using `return_inputs`: + +```{code-cell} ipython3 +all_results = task5.result(return_inputs=True) +print(f"first list, a=1: {all_results[0]}") +print(f"\n second list, a=2: {all_results[1]}") +``` + +![nd_spl_3_comb1.png](../figures/nd_spl_3_comb1.png) + ++++ + +But we could also group all elements from the input `a` and have a different combined output: + +```{code-cell} ipython3 +task6 = add_var(a=[1, 2], b=[10, 100]) +task6.split(["a", "b"]) +# changing the combiner +task6.combine("a") +task6() +task6.result() +``` + +We still have two elements in our results, but this time the first element contains results for `b=10` and both values of `a`, and the second contains results for `b=100` and both values of `a`. + +```{code-cell} ipython3 +all_results = task6.result(return_inputs=True) +print(f"first list, b=10: {all_results[0]}") +print(f"\n second list, b=100: {all_results[1]}") +``` + +![nd_spl_3_comb2.png](../figures/nd_spl_3_comb2.png) + ++++ + +We can also combine all elements by providing a list of all inputs to the `combiner`: + +```{code-cell} ipython3 +task7 = add_var(a=[1, 2], b=[10, 100]) +task7.split(["a", "b"]) +# combining all inputs +task7.combine(["a", "b"]) +task7() +task7.result() +``` + +This time the output contains one element that is a list of all outputs: + ++++ + +![nd_spl_3_comb3.png](../figures/nd_spl_3_comb3.png) + ++++ + +## Lists as an input + +Note that list can be used as an input even without using any splitter, there are functions that take a list as a single input value: + +```{code-cell} ipython3 +@pydra.mark.task +def moment(lst, n): + return sum([i ** n for i in lst]) / len(lst) + +task8 = moment(n=3, lst=[2, 3, 4]) + +task8() +task8.result() +``` + ++++ + +## Exercise 1 + +Let's say we want to calculate squares and cubes of integers from 2 to 5, and combine separately all squares and all cubes: + ++++ + +First we will define a function that returns powers: + +```{code-cell} ipython3 +:tags: [hide-cell] + +@pydra.mark.task +def power(x, n): + return x**n +``` + ++++ + +Now we can create a task that takes two lists as its input, outer splitter for `x` and `n`, and combine all `x`: + +```{code-cell} ipython3 +:tags: [hide-cell] + +task_ex1 = power(x=[2, 3, 4, 5], n=[2, 3]).split(["x", "n"]).combine("x") +task_ex1() +task_ex1.result() +``` + ++++ + +The result should contain two list, the first one is for squares, the second for cubes. + +```{code-cell} ipython3 +:tags: [hide-cell] + +squares_list = [el.output.out for el in task_ex1.result()[0]] +cubes_list = [el.output.out for el in task_ex1.result()[1]] +print(f"squares: {squares_list}") +print(f"cubes: {cubes_list}") +``` + +## Parallel execution + +We run task multiple times for multiple sets of input, but we didn't talk about the execution time. Let's create a function that sleeps for a second and run for four values: + +```{code-cell} ipython3 +import time + +@pydra.mark.task +def add_two_sleep(x): + time.sleep(1) + return x + 2 + +task9 = add_two_sleep(x=[1, 2, 3, 4]).split("x") +t0 = time.time() +task9() +print(f'total time: {time.time() - t0}') +task9.result() +``` + +The total time will depend on the machine you are using, but it could be below `1.1s`, so clearly the tasks are running in parallel! + +If we run `Task` that has a `State`, pydra will automatically create a `Submitter` with a default `Worker` that is `cf`, i.e. `concurrent.futures.ProcessPoolExecutor`. + +We could also create a `Submitter` first, and than use it to run the task: + +```{code-cell} ipython3 +task10 = add_two_sleep(x=[1, 2, 3, 4]).split("x") + +t0 = time.time() +with pydra.Submitter(plugin="cf") as sub: + task10(submitter=sub) +print(f'total time: {time.time() - t0}') +print(f"results: {task10.result()}") +``` + +or we can provide the name of the plugin: + +```{code-cell} ipython3 +task11 = add_two_sleep(x=[1, 2, 3, 4]).split("x") + +t0 = time.time() +task11(plugin="cf") +print(f'total time: {time.time() - t0}') +print(f"results: {task11.result()}") +``` + +The last option for running the task is to create a `Submitter` first and run the submitter (`Submitter` is also a callable object) with the task as a `runnable`: + +```{code-cell} ipython3 +task12 = add_two_sleep(x=[1, 2, 3, 4]).split("x") + +t0 = time.time() +with pydra.Submitter(plugin="cf") as sub: + sub(runnable=task12) +print(f'total time: {time.time() - t0}') +print(f"results: {task12.result()}") +``` + +All of the execution time should be similar, since all tasks are run by *pydra* in the same way, i.e. *pydra* creates a submitter with `ConcurrentFutures` worker, if a number of processors is not provided, `ConcurrentFutures` takes all available processors as `max_workers`. However, if we want to set a specific number of processors, we can set it using `n_procs` when creating a `Submitter`. Let's see how the execution time changes when we use `n_procs=2`. + +```{code-cell} ipython3 +task13 = add_two_sleep(x=[1, 2, 3, 4]).split("x") + +t0 = time.time() +with pydra.Submitter(plugin="cf", n_procs=2) as sub: + sub(runnable=task13) +print(f'total time: {time.time() - t0}') +print(f"results: {task13.result()}") +``` + +Now, the total time could be significantly different. For example, if your machine has at least 4 processors, the previous `tasks9` - `task12` took around 1s to run, but the task13 took around 2s. +If you have 2 processors or less, you should not see any difference in the execution time. diff --git a/jupyterbook/_build/html/_sources/notebooks/4_intro_workflow.ipynb b/jupyterbook/_build/html/_sources/notebooks/4_intro_workflow.ipynb new file mode 100644 index 0000000..863f327 --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/4_intro_workflow.ipynb @@ -0,0 +1,801 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "51b78294", + "metadata": {}, + "source": [ + "# 4. Workflow" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "c25461c5", + "metadata": { + "jupyter": { + "outputs_hidden": false + }, + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5d46761a", + "metadata": {}, + "outputs": [], + "source": [ + "import pydra\n", + "\n", + "# functions used later in the notebook:\n", + "\n", + "@pydra.mark.task\n", + "def add_two(x):\n", + " return x + 2\n", + "\n", + "@pydra.mark.task\n", + "def power(a, n=2):\n", + " return a**n\n", + "\n", + "@pydra.mark.task\n", + "def mult_var(a, b):\n", + " return a * b" + ] + }, + { + "cell_type": "markdown", + "id": "e443817d", + "metadata": {}, + "source": [ + "In order to run multiple tasks within one pipeline, we use another *pydra* class - `Workflow`. The workflow will contain arbitrary number of tasks that will be treated as a graph.\n", + "\n", + "Let's start from a workflow with a single task that has one input `x`. When we create a `Workflow`, we have to specify `input_spec` that contains all of the workflow inputs:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "8af3d66f", + "metadata": {}, + "outputs": [], + "source": [ + "wf1 = pydra.Workflow(name=\"wf1\", input_spec=[\"x\"], x=3)" + ] + }, + { + "cell_type": "markdown", + "id": "bf88737e", + "metadata": {}, + "source": [ + "Now, we can add a task and specify that `x` will be taken from the workflow input by using so-called *Lazy Input*, `x=wf1.lzin.x`. We should also add the `name` to the task we are using in the `Workflow`." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "01e3be48", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf1.add(add_two(name=\"sum\", x=wf1.lzin.x))" + ] + }, + { + "cell_type": "markdown", + "id": "20e1df90", + "metadata": {}, + "source": [ + "Now, we can access the task by using the task name:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "250ff584", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf1.sum" + ] + }, + { + "cell_type": "markdown", + "id": "32b0c9b1", + "metadata": {}, + "source": [ + "We have to also specify what would be the workflow output, for this one-task workflow, we simply take the output of `sum` and we use *Lazy Output* to set it to `wf.output.out`:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "45ffe4ff", + "metadata": {}, + "outputs": [], + "source": [ + "wf1.set_output([(\"out\", wf1.sum.lzout.out)])" + ] + }, + { + "cell_type": "markdown", + "id": "df11ea00", + "metadata": {}, + "source": [ + "We could also use dictionary to set the output - `wf1.set_output({\"out\": wf1.sum.lzout.out})`, or as a tuple if we set a single element: `wf1.set_output((\"out\", wf1.sum.lzout.out))`" + ] + }, + { + "cell_type": "markdown", + "id": "eedcbfe4", + "metadata": {}, + "source": [ + "Now, we are ready to run the workflow:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "a2f3838c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=5), runtime=None, errored=False)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf1)\n", + "\n", + "wf1.result()" + ] + }, + { + "cell_type": "markdown", + "id": "05fb5ace", + "metadata": {}, + "source": [ + "The result of the workflow should be the same as the output of the task, i.e., 5.\n", + "\n", + "We could think about the workflow as follows: the workflow has an input `x` that is passed to the \"sum\" `Task`, once the task has its input it runs and produces an output, the output is later set to the workflow output." + ] + }, + { + "cell_type": "markdown", + "id": "6fc7a252", + "metadata": {}, + "source": [ + "![wf_1.png](../figures/wf_1.png)" + ] + }, + { + "cell_type": "markdown", + "id": "9fd1b4d0", + "metadata": {}, + "source": [ + "You can add as many tasks as you want to the workflow and return multiple variables:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "5c3e07f3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out_s=5, out_p=9), runtime=None, errored=False)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf2 = pydra.Workflow(name=\"wf2\", input_spec=[\"x\"], x=3)\n", + "wf2.add(add_two(name=\"add_two\", x=wf2.lzin.x))\n", + "wf2.add(power(name=\"power\", a=wf2.lzin.x))\n", + "\n", + "# setting multiple workflow output\n", + "wf2.set_output([(\"out_s\", wf2.add_two.lzout.out),\n", + " (\"out_p\", wf2.power.lzout.out)\n", + " ])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf2)\n", + "\n", + "wf2.result()" + ] + }, + { + "cell_type": "markdown", + "id": "83980298", + "metadata": {}, + "source": [ + "In this example we had two tasks, that took inputs from the workflow input and pass the outputs to the workflow output:" + ] + }, + { + "cell_type": "markdown", + "id": "e5587cfd", + "metadata": {}, + "source": [ + "![wf_2.png](../figures/wf_2.png)" + ] + }, + { + "cell_type": "markdown", + "id": "62e62b22", + "metadata": {}, + "source": [ + "## Connecting tasks\n", + "\n", + "The previous example showed a workflow with two nodes, but they were not connected with each other.\n", + "\n", + "If we want to connect the tasks with each other, we have to set the input of the second task to the output of the first task, and we use again the `Lazy Output` concept:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b271ea2d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out_s=5, out_p=25), runtime=None, errored=False)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf3 = pydra.Workflow(name=\"wf3\", input_spec=[\"x\"], x=3)\n", + "wf3.add(add_two(name=\"sum\", x=wf3.lzin.x))\n", + "# by setting a=wf3.sum.lzout.out we create a connection\n", + "wf3.add(power(name=\"power\", a=wf3.sum.lzout.out))\n", + "\n", + "wf3.set_output([(\"out_s\", wf3.sum.lzout.out),\n", + " (\"out_p\", wf3.power.lzout.out)\n", + " ])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf3)\n", + "\n", + "wf3.result()" + ] + }, + { + "cell_type": "markdown", + "id": "08fda63e", + "metadata": {}, + "source": [ + "Now, we could see that the second task took an input from the first one:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "31024114", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "LF('sum', 'out')" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf3.power.inputs.a" + ] + }, + { + "cell_type": "markdown", + "id": "b78b15f3", + "metadata": {}, + "source": [ + "So this time the workflow graph will look like this:" + ] + }, + { + "cell_type": "markdown", + "id": "6154adcd", + "metadata": {}, + "source": [ + "![wf_3.png](../figures/wf_3.png)" + ] + }, + { + "cell_type": "markdown", + "id": "ab815074", + "metadata": {}, + "source": [ + "The node can be connected to multiple nodes, we can modify `wf` to add additional node that uses `mult_var` to multiple the outputs of two previous tasks:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "61eaa85f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=45), runtime=None, errored=False)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf4 = pydra.Workflow(name=\"wf4\", input_spec=[\"x\"], x=3)\n", + "wf4.add(add_two(name=\"add_two\", x=wf4.lzin.x))\n", + "wf4.add(power(name=\"power\", a=wf4.lzin.x))\n", + "wf4.add(mult_var(name=\"mult\", a=wf4.add_two.lzout.out, b=wf4.power.lzout.out))\n", + "\n", + "wf4.set_output([(\"out\", wf4.mult.lzout.out)])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf4)\n", + "\n", + "wf4.result()" + ] + }, + { + "cell_type": "markdown", + "id": "82c05682", + "metadata": {}, + "source": [ + "This time the graph should look like this:" + ] + }, + { + "cell_type": "markdown", + "id": "fb204f79", + "metadata": {}, + "source": [ + "![wf_4.png](../figures/wf_4.png)" + ] + }, + { + "cell_type": "markdown", + "id": "5062623c", + "metadata": {}, + "source": [ + "## Workflow as a node\n", + "\n", + "Previously we had workflows that had `Task`s as nodes, but *pydra* treats `Workflow` as any other `Task`, so the workflow could be used as a node.\n", + "\n", + "Let's modify the previous workflow, and instead of `sum` and `power` tasks we use `wf2` as the first node:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "d998c62f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out=45), runtime=None, errored=False)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf2a = pydra.Workflow(name=\"wf2a\", input_spec=[\"x\"])\n", + "wf2a.add(add_two(name=\"add_two\", x=wf2a.lzin.x))\n", + "wf2a.add(power(name=\"power\", a=wf2a.lzin.x))\n", + "\n", + "wf2a.set_output([(\"out_s\", wf2a.add_two.lzout.out),\n", + " (\"out_p\", wf2a.power.lzout.out)\n", + " ])\n", + "\n", + "\n", + "wf5 = pydra.Workflow(name=\"wf5\", input_spec=[\"x\"], x=3)\n", + "wf5.add(wf2a)\n", + "# connecting wfa to the input from the main workflow\n", + "wf2a.inputs.x = wf5.lzin.x\n", + "wf5.add(mult_var(name=\"mult\", a=wf5.wf2a.lzout.out_s, b=wf5.wf2a.lzout.out_p))\n", + "\n", + "wf5.set_output([(\"out\", wf5.mult.lzout.out)])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf5)\n", + "\n", + "wf5.result()" + ] + }, + { + "cell_type": "markdown", + "id": "754a5e45", + "metadata": {}, + "source": [ + "We should get exactly the same result as previously, but this time we run `wf2a` inside our main workflow:" + ] + }, + { + "cell_type": "markdown", + "id": "d8660647", + "metadata": {}, + "source": [ + "![wf_5.png](../figures/wf_5.png)" + ] + }, + { + "cell_type": "markdown", + "id": "fb9a3666", + "metadata": {}, + "source": [ + "## Workflow with a splitter\n", + "\n", + "Workflow as any other task could also have a splitter. Let's take one of our previous workflows and add a splitter for the workflow input by setting `splitter` using the `split` method." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "4d2f7fc2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(wf_out=45), runtime=None, errored=False),\n", + " Result(output=Output(wf_out=175), runtime=None, errored=False)]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf6 = pydra.Workflow(name=\"wf6\", input_spec=[\"x\"])\n", + "# setting a plitter for the entire workflow\n", + "wf6.split(\"x\", x=[3, 5])\n", + "wf6.add(add_two(name=\"add_two\", x=wf6.lzin.x))\n", + "wf6.add(power(name=\"power\", a=wf6.lzin.x))\n", + "wf6.add(mult_var(name=\"mult\", a=wf6.add_two.lzout.out, b=wf6.power.lzout.out))\n", + "\n", + "wf6.set_output([(\"wf_out\", wf6.mult.lzout.out)])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf6)\n", + "\n", + "wf6.result()" + ] + }, + { + "cell_type": "markdown", + "id": "f10ec954", + "metadata": {}, + "source": [ + "As we could expect, we received a list with two `Result`s, one is for `wf.x=3`, and the other is for `wf.x=5`. \n", + "\n", + "Behind the scene *pydra* expanded two workflows for two values of the workflow input:" + ] + }, + { + "cell_type": "markdown", + "id": "3bb07927", + "metadata": {}, + "source": [ + "![wf_6.png](../figures/wf_6.png)" + ] + }, + { + "cell_type": "markdown", + "id": "708fa8b8", + "metadata": {}, + "source": [ + "Let's create a new workflow that has two inputs and more complicated splitter." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "fcef345f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Result(output=Output(out=20), runtime=None, errored=False),\n", + " Result(output=Output(out=45), runtime=None, errored=False),\n", + " Result(output=Output(out=28), runtime=None, errored=False),\n", + " Result(output=Output(out=63), runtime=None, errored=False)]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf7 = pydra.Workflow(name=\"wf7\", input_spec=[\"x\", \"y\"])\n", + "wf7.split([\"x\", \"y\"], x=[3, 5], y=[2, 3])\n", + "wf7.add(add_two(name=\"sum\", x=wf7.lzin.x))\n", + "wf7.add(power(name=\"power\", a=wf7.lzin.y))\n", + "wf7.add(mult_var(name=\"mult\", a=wf7.sum.lzout.out, b=wf7.power.lzout.out))\n", + "\n", + "wf7.set_output([(\"out\", wf7.mult.lzout.out)])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf7)\n", + "\n", + "wf7.result()" + ] + }, + { + "cell_type": "markdown", + "id": "340effb4", + "metadata": {}, + "source": [ + "We should have four results for four sets of inputs, and the graph should look like this:" + ] + }, + { + "cell_type": "markdown", + "id": "45e4323d", + "metadata": {}, + "source": [ + "![wf_7.png](../figures/wf_7.png)" + ] + }, + { + "cell_type": "markdown", + "id": "f964a6b1", + "metadata": {}, + "source": [ + "## Adding a combiner\n", + "\n", + "In the same way as we did for `Task`, we can add a `combiner` to the entire workflow:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "2c898485", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[[Result(output=Output(out=20), runtime=None, errored=False),\n", + " Result(output=Output(out=28), runtime=None, errored=False)],\n", + " [Result(output=Output(out=45), runtime=None, errored=False),\n", + " Result(output=Output(out=63), runtime=None, errored=False)]]" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wf7.combine(\"x\")\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf7)\n", + "\n", + "wf7.result()" + ] + }, + { + "cell_type": "markdown", + "id": "50863bcc", + "metadata": {}, + "source": [ + "Now we should have two lists in the results, one for `y=2` and one for `y=3`:" + ] + }, + { + "cell_type": "markdown", + "id": "2edd71b1", + "metadata": {}, + "source": [ + "![wf_8.png](../figures/wf_8.png)" + ] + }, + { + "cell_type": "markdown", + "id": "d221c934", + "metadata": {}, + "source": [ + "## Setting a splitter for nodes\n", + "\n", + "We presented how to set a `splitter` and a `combiner` for entire workflow, but we could also set a `splitter` and a `combiner` on the level of a single node.\n", + "\n", + "Let's create a workflow that takes a list as an input, and pass this input to two nodes. One node can take entire list as its input and the second node splits the input:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "f079b79e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(out_m=5.0, out_p=[9, 25, 49]), runtime=None, errored=False)" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "@pydra.mark.task\n", + "def mean(x_list):\n", + " return sum(x_list)/len(x_list)\n", + "\n", + "wf8 = pydra.Workflow(name=\"wf8\", input_spec=[\"x\"], x=[3, 5, 7])\n", + "wf8.add(mean(name=\"mean\", x_list=wf8.lzin.x))\n", + "# adding a task that has its own splitter\n", + "wf8.add(power(name=\"power\", a=wf8.lzin.x).split(\"a\"))\n", + "\n", + "wf8.set_output([(\"out_m\", wf8.mean.lzout.out),\n", + " (\"out_p\", wf8.power.lzout.out)])\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(wf8)\n", + "\n", + "wf8.result()" + ] + }, + { + "cell_type": "markdown", + "id": "3edebd2b", + "metadata": {}, + "source": [ + "This time we have in the workflow output a single value from the `mean` task and three values from the `power` task. The graph should look like this:" + ] + }, + { + "cell_type": "markdown", + "id": "e17736d1", + "metadata": {}, + "source": [ + "![wf_9.png](../figures/wf_9.png)" + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 13, + 18, + 31, + 47, + 55, + 57, + 61, + 63, + 67, + 69, + 73, + 75, + 79, + 83, + 88, + 94, + 98, + 102, + 116, + 120, + 124, + 132, + 146, + 150, + 152, + 156, + 160, + 164, + 176, + 180, + 184, + 192, + 214, + 218, + 222, + 228, + 242, + 248, + 252, + 256, + 269, + 273, + 277, + 283, + 290, + 294, + 298, + 306, + 323, + 327 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/jupyterbook/_build/html/_sources/notebooks/4_intro_workflow.md b/jupyterbook/_build/html/_sources/notebooks/4_intro_workflow.md new file mode 100644 index 0000000..6798d61 --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/4_intro_workflow.md @@ -0,0 +1,329 @@ +--- +jupytext: + formats: ipynb,md:myst + text_representation: + extension: .md + format_name: myst + format_version: 0.13 + jupytext_version: 1.13.8 +kernelspec: + display_name: Python 3 + language: python + name: python3 +--- + +# 4. Workflow + + +```{code-cell} ipython3 +--- +jupyter: + outputs_hidden: false +pycharm: + name: '#%% + + ' +--- +import nest_asyncio +nest_asyncio.apply() +``` + +```{code-cell} ipython3 +import pydra + +# functions used later in the notebook: + +@pydra.mark.task +def add_two(x): + return x + 2 + +@pydra.mark.task +def power(a, n=2): + return a**n + +@pydra.mark.task +def mult_var(a, b): + return a * b +``` + + + +In order to run multiple tasks within one pipeline, we use another *pydra* class - `Workflow`. The workflow will contain arbitrary number of tasks that will be treated as a graph. + +Let's start from a workflow with a single task that has one input `x`. When we create a `Workflow`, we have to specify `input_spec` that contains all of the workflow inputs: + +```{code-cell} ipython3 +wf1 = pydra.Workflow(name="wf1", input_spec=["x"], x=3) +``` + +Now, we can add a task and specify that `x` will be taken from the workflow input by using so-called *Lazy Input*, `x=wf1.lzin.x`. We should also add the `name` to the task we are using in the `Workflow`. + +```{code-cell} ipython3 +wf1.add(add_two(name="sum", x=wf1.lzin.x)) +``` + +Now, we can access the task by using the task name: + +```{code-cell} ipython3 +wf1.sum +``` + +We have to also specify what would be the workflow output, for this one-task workflow, we simply take the output of `sum` and we use *Lazy Output* to set it to `wf.output.out`: + +```{code-cell} ipython3 +wf1.set_output([("out", wf1.sum.lzout.out)]) +``` + +We could also use dictionary to set the output - `wf1.set_output({"out": wf1.sum.lzout.out})`, or as a tuple if we set a single element: `wf1.set_output(("out", wf1.sum.lzout.out))` + ++++ + +Now, we are ready to run the workflow: + +```{code-cell} ipython3 +with pydra.Submitter(plugin="cf") as sub: + sub(wf1) + +wf1.result() +``` + +The result of the workflow should be the same as the output of the task, i.e., 5. + +We could think about the workflow as follows: the workflow has an input `x` that is passed to the "sum" `Task`, once the task has its input it runs and produces an output, the output is later set to the workflow output. + ++++ + +![wf_1.png](../figures/wf_1.png) + ++++ + +You can add as many tasks as you want to the workflow and return multiple variables: + +```{code-cell} ipython3 +wf2 = pydra.Workflow(name="wf2", input_spec=["x"], x=3) +wf2.add(add_two(name="add_two", x=wf2.lzin.x)) +wf2.add(power(name="power", a=wf2.lzin.x)) + +# setting multiple workflow output +wf2.set_output([("out_s", wf2.add_two.lzout.out), + ("out_p", wf2.power.lzout.out) + ]) + +with pydra.Submitter(plugin="cf") as sub: + sub(wf2) + +wf2.result() +``` + +In this example we had two tasks, that took inputs from the workflow input and pass the outputs to the workflow output: + ++++ + +![wf_2.png](../figures/wf_2.png) + ++++ + +## Connecting tasks + +The previous example showed a workflow with two nodes, but they were not connected with each other. + +If we want to connect the tasks with each other, we have to set the input of the second task to the output of the first task, and we use again the `Lazy Output` concept: + +```{code-cell} ipython3 +wf3 = pydra.Workflow(name="wf3", input_spec=["x"], x=3) +wf3.add(add_two(name="sum", x=wf3.lzin.x)) +# by setting a=wf3.sum.lzout.out we create a connection +wf3.add(power(name="power", a=wf3.sum.lzout.out)) + +wf3.set_output([("out_s", wf3.sum.lzout.out), + ("out_p", wf3.power.lzout.out) + ]) + +with pydra.Submitter(plugin="cf") as sub: + sub(wf3) + +wf3.result() +``` + +Now, we could see that the second task took an input from the first one: + +```{code-cell} ipython3 +wf3.power.inputs.a +``` + +So this time the workflow graph will look like this: + ++++ + +![wf_3.png](../figures/wf_3.png) + ++++ + +The node can be connected to multiple nodes, we can modify `wf` to add additional node that uses `mult_var` to multiple the outputs of two previous tasks: + +```{code-cell} ipython3 +wf4 = pydra.Workflow(name="wf4", input_spec=["x"], x=3) +wf4.add(add_two(name="add_two", x=wf4.lzin.x)) +wf4.add(power(name="power", a=wf4.lzin.x)) +wf4.add(mult_var(name="mult", a=wf4.add_two.lzout.out, b=wf4.power.lzout.out)) + +wf4.set_output([("out", wf4.mult.lzout.out)]) + +with pydra.Submitter(plugin="cf") as sub: + sub(wf4) + +wf4.result() +``` + +This time the graph should look like this: + ++++ + +![wf_4.png](../figures/wf_4.png) + ++++ + +## Workflow as a node + +Previously we had workflows that had `Task`s as nodes, but *pydra* treats `Workflow` as any other `Task`, so the workflow could be used as a node. + +Let's modify the previous workflow, and instead of `sum` and `power` tasks we use `wf2` as the first node: + +```{code-cell} ipython3 +wf2a = pydra.Workflow(name="wf2a", input_spec=["x"]) +wf2a.add(add_two(name="add_two", x=wf2a.lzin.x)) +wf2a.add(power(name="power", a=wf2a.lzin.x)) + +wf2a.set_output([("out_s", wf2a.add_two.lzout.out), + ("out_p", wf2a.power.lzout.out) + ]) + + +wf5 = pydra.Workflow(name="wf5", input_spec=["x"], x=3) +wf5.add(wf2a) +# connecting wfa to the input from the main workflow +wf2a.inputs.x = wf5.lzin.x +wf5.add(mult_var(name="mult", a=wf5.wf2a.lzout.out_s, b=wf5.wf2a.lzout.out_p)) + +wf5.set_output([("out", wf5.mult.lzout.out)]) + +with pydra.Submitter(plugin="cf") as sub: + sub(wf5) + +wf5.result() +``` + +We should get exactly the same result as previously, but this time we run `wf2a` inside our main workflow: + ++++ + +![wf_5.png](../figures/wf_5.png) + ++++ + +## Workflow with a splitter + +Workflow as any other task could also have a splitter. Let's take one of our previous workflows and add a splitter for the workflow input by setting `splitter` using the `split` method. + +```{code-cell} ipython3 +wf6 = pydra.Workflow(name="wf6", input_spec=["x"]) +# setting a plitter for the entire workflow +wf6.split("x", x=[3, 5]) +wf6.add(add_two(name="add_two", x=wf6.lzin.x)) +wf6.add(power(name="power", a=wf6.lzin.x)) +wf6.add(mult_var(name="mult", a=wf6.add_two.lzout.out, b=wf6.power.lzout.out)) + +wf6.set_output([("wf_out", wf6.mult.lzout.out)]) + +with pydra.Submitter(plugin="cf") as sub: + sub(wf6) + +wf6.result() +``` + +As we could expect, we received a list with two `Result`s, one is for `wf.x=3`, and the other is for `wf.x=5`. + +Behind the scene *pydra* expanded two workflows for two values of the workflow input: + ++++ + +![wf_6.png](../figures/wf_6.png) + ++++ + +Let's create a new workflow that has two inputs and more complicated splitter. + +```{code-cell} ipython3 +wf7 = pydra.Workflow(name="wf7", input_spec=["x", "y"]) +wf7.split(["x", "y"], x=[3, 5], y=[2, 3]) +wf7.add(add_two(name="sum", x=wf7.lzin.x)) +wf7.add(power(name="power", a=wf7.lzin.y)) +wf7.add(mult_var(name="mult", a=wf7.sum.lzout.out, b=wf7.power.lzout.out)) + +wf7.set_output([("out", wf7.mult.lzout.out)]) + +with pydra.Submitter(plugin="cf") as sub: + sub(wf7) + +wf7.result() +``` + +We should have four results for four sets of inputs, and the graph should look like this: + ++++ + +![wf_7.png](../figures/wf_7.png) + ++++ + +## Adding a combiner + +In the same way as we did for `Task`, we can add a `combiner` to the entire workflow: + +```{code-cell} ipython3 +wf7.combine("x") + +with pydra.Submitter(plugin="cf") as sub: + sub(wf7) + +wf7.result() +``` + +Now we should have two lists in the results, one for `y=2` and one for `y=3`: + ++++ + +![wf_8.png](../figures/wf_8.png) + ++++ + +## Setting a splitter for nodes + +We presented how to set a `splitter` and a `combiner` for entire workflow, but we could also set a `splitter` and a `combiner` on the level of a single node. + +Let's create a workflow that takes a list as an input, and pass this input to two nodes. One node can take entire list as its input and the second node splits the input: + +```{code-cell} ipython3 +@pydra.mark.task +def mean(x_list): + return sum(x_list)/len(x_list) + +wf8 = pydra.Workflow(name="wf8", input_spec=["x"], x=[3, 5, 7]) +wf8.add(mean(name="mean", x_list=wf8.lzin.x)) +# adding a task that has its own splitter +wf8.add(power(name="power", a=wf8.lzin.x).split("a")) + +wf8.set_output([("out_m", wf8.mean.lzout.out), + ("out_p", wf8.power.lzout.out)]) + +with pydra.Submitter(plugin="cf") as sub: + sub(wf8) + +wf8.result() +``` + +This time we have in the workflow output a single value from the `mean` task and three values from the `power` task. The graph should look like this: + ++++ + +![wf_9.png](../figures/wf_9.png) diff --git a/jupyterbook/_build/html/_sources/notebooks/5_intro_shelltask.ipynb b/jupyterbook/_build/html/_sources/notebooks/5_intro_shelltask.ipynb new file mode 100644 index 0000000..502bb4c --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/5_intro_shelltask.ipynb @@ -0,0 +1,748 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "44683927", + "metadata": {}, + "source": [ + "# 5. ShellCommandTask" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "19f0b3e6", + "metadata": { + "jupyter": { + "outputs_hidden": false + }, + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "33bd185f", + "metadata": {}, + "source": [ + "In addition to `FunctionTask`, pydra allows for creating tasks from shell commands by using `ShellCommandTask`.\n", + "\n", + "Let's run a simple command `pwd` using pydra" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e239f948", + "metadata": {}, + "outputs": [], + "source": [ + "import pydra" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "83e7b49f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'pwd'" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmd = \"pwd\"\n", + "# we should use executable to pass the command we want to run\n", + "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=cmd)\n", + "\n", + "# we can always check the cmdline of our task\n", + "shelly.cmdline" + ] + }, + { + "cell_type": "markdown", + "id": "7ed5a479", + "metadata": {}, + "source": [ + "and now let's try to run it:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "c96e5c88", + "metadata": {}, + "outputs": [], + "source": [ + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(shelly)" + ] + }, + { + "cell_type": "markdown", + "id": "59ad8aad", + "metadata": {}, + "source": [ + "and check the result" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a6f86e64", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(return_code=0, stdout='/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmp_ny235r4/ShellCommandTask_50215383834238ce614b4428a1e9943ddff15f8580a384a0a57b34c760864b3a\\n', stderr=''), runtime=None, errored=False)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "shelly.result()" + ] + }, + { + "cell_type": "markdown", + "id": "60228573", + "metadata": {}, + "source": [ + "the result should have `return_code`, `stdout` and `stderr`. If everything goes well `return_code` should be `0`, `stdout` should point to the working directory and `stderr` should be an empty string." + ] + }, + { + "cell_type": "markdown", + "id": "1287f1da", + "metadata": {}, + "source": [ + "## Commands with arguments and inputs\n", + "you can also use longer command by providing a list:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "1a6ab76c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cmndline = echo hail pydra\n" + ] + }, + { + "data": { + "text/plain": [ + "Result(output=Output(return_code=0, stdout='hail pydra\\n', stderr=''), runtime=None, errored=False)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmd = [\"echo\", \"hail\", \"pydra\"]\n", + "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=cmd)\n", + "print(\"cmndline = \", shelly.cmdline)\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(shelly)\n", + "shelly.result()" + ] + }, + { + "cell_type": "markdown", + "id": "b5ec942e", + "metadata": {}, + "source": [ + "### using args\n", + "In addition to `executable`, we can also use `args`. Last example can be also rewritten:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9f84cdbd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cmndline = echo hail pydra\n" + ] + }, + { + "data": { + "text/plain": [ + "Result(output=Output(return_code=0, stdout='hail pydra\\n', stderr=''), runtime=None, errored=False)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmd = \"echo\"\n", + "args = [\"hail\", \"pydra\"]\n", + "\n", + "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=cmd, args=args)\n", + "print(\"cmndline = \", shelly.cmdline)\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(shelly)\n", + "shelly.result()" + ] + }, + { + "cell_type": "markdown", + "id": "b0291766", + "metadata": {}, + "source": [ + "## Customized input\n", + "\n", + "Pydra always checks `executable` and `args`, but we can also provide additional inputs, in order to do it, we have to modify `input_spec` first by using `SpecInfo` class:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "97f45a7b", + "metadata": {}, + "outputs": [], + "source": [ + "import attr\n", + "\n", + "my_input_spec = pydra.specs.SpecInfo(\n", + " name=\"Input\",\n", + " fields=[\n", + " (\n", + " \"text\",\n", + " attr.ib(\n", + " type=str,\n", + " metadata={\"position\": 1, \"argstr\": \"\", \"help_string\": \"text\", \"mandatory\": True},\n", + " ),\n", + " )\n", + " ],\n", + " bases=(pydra.specs.ShellSpec,),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "3e0295c8", + "metadata": {}, + "source": [ + "Notice, that in order to create your own `input_spec`, you have to provide a list of `fields`. There are several valid syntax to specify elements of `fields`:\n", + "- `(name, attribute)`\n", + "- `(name, type, default)`\n", + "- `(name, type, default, metadata)`\n", + "- `(name, type, metadata)`\n", + "\n", + "where `name`, `type`, and `default` are the name, type and default values of the field. `attribute` is defined by using `attr.ib`, in the example the attribute has `type` and `metadata`, but the full specification can be found [here](https://www.attrs.org/en/stable/api.html#attr.ib). \n", + "\n", + "In `metadata`, you can provide additional information that is used by `pydra`, `help_string` is the only key that is required, and the full list of supported keys is `['position', 'argstr', 'requires', 'mandatory', 'allowed_values', 'output_field_name', 'copyfile', 'separate_ext', 'container_path', 'help_string', 'xor', 'output_file_template']`. Among the supported keys, you have:\n", + "- `help_string`: a sring, description of the argument;\n", + "- `position`: integer grater than 0, defines the relative position of the arguments when the shell command is constructed;\n", + "- `argstr`: a string, e.g. \"-o\", can be used to specify a flag if needed for the command argument; \n", + "- `mandatory`: a bool, if True, pydra will raise an exception, if the argument is not provided;\n", + "\n", + "The complete documentations for all suported keys is available [here](https://pydra.readthedocs.io/en/latest/input_spec.html)." + ] + }, + { + "cell_type": "markdown", + "id": "a0f0e423", + "metadata": {}, + "source": [ + "To define `my_input_spec` we used the most general syntax that requires `(name, attribute)`, but \n", + "perhaps the simplest syntax is the last one, that contains `(name, type, metadata)`. Using this syntax, `my_input_spec` could look like this:\n", + "\n", + "```\n", + "my_input_spec_short = pydra.specs.SpecInfo(\n", + " name=\"Input\",\n", + " fields=[\n", + " (\"text\", str, {\"position\": 1, \"help_string\": \"text\", \"mandatory\": True}),\n", + " ],\n", + " bases=(pydra.specs.ShellSpec,),\n", + ")\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "2994cfe1", + "metadata": {}, + "source": [ + "After defining `my_input_spec`, we can define our task:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e1861b93", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cmndline = echo HELLO\n" + ] + }, + { + "data": { + "text/plain": [ + "Result(output=Output(return_code=0, stdout='HELLO\\n', stderr=''), runtime=None, errored=False)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmd_exec = \"echo\"\n", + "hello = \"HELLO\"\n", + "shelly = pydra.ShellCommandTask(\n", + " name=\"shelly\", executable=cmd_exec, text=hello, input_spec=my_input_spec\n", + ")\n", + "\n", + "print(\"cmndline = \", shelly.cmdline)\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(shelly)\n", + "shelly.result()" + ] + }, + { + "cell_type": "markdown", + "id": "1856a8ef", + "metadata": {}, + "source": [ + "## Customized output\n", + "\n", + "We can also customized output if we want to return something more than the `stdout`, e.g. a file." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "a92e8ae3", + "metadata": {}, + "outputs": [], + "source": [ + "my_output_spec = pydra.specs.SpecInfo(\n", + " name=\"Output\",\n", + " fields=[(\"newfile\", pydra.specs.File, \"newfile_tmp.txt\")],\n", + " bases=(pydra.specs.ShellOutSpec,),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "55bb90ea", + "metadata": {}, + "source": [ + "now we can create a task that returns a new file:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4a4777f1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cmndline = touch newfile_tmp.txt\n" + ] + }, + { + "data": { + "text/plain": [ + "Result(output=Output(return_code=0, stdout='', stderr='', newfile=PosixPath('/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmpwc7vjtww/ShellCommandTask_76e73f8b52e6d5d1920bda2a22e309fb4fd89cec14e6ab25755e2caf66cf0294/newfile_tmp.txt')), runtime=None, errored=False)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "cmd = [\"touch\", \"newfile_tmp.txt\"]\n", + "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=cmd, output_spec=my_output_spec)\n", + "\n", + "print(\"cmndline = \", shelly.cmdline)\n", + "\n", + "with pydra.Submitter(plugin=\"cf\") as sub:\n", + " sub(shelly)\n", + "shelly.result()" + ] + }, + { + "cell_type": "markdown", + "id": "d93bb240", + "metadata": { + "solution2": "hidden", + "solution2_first": true + }, + "source": [ + "### Exercise 1\n", + "\n", + "Write a task that creates two new files, use provided output spec." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "8afdcbd2", + "metadata": {}, + "outputs": [], + "source": [ + "cmd = \"touch\"\n", + "args = [\"newfile_1.txt\", \"newfile_2.txt\"]\n", + "\n", + "my_output_spec = pydra.specs.SpecInfo(\n", + " name=\"Output\",\n", + " fields=[\n", + " (\n", + " \"out1\",\n", + " attr.ib(\n", + " type=pydra.specs.File,\n", + " metadata={\n", + " \"output_file_template\": \"{args}\",\n", + " \"help_string\": \"output file\",\n", + " },\n", + " ),\n", + " )\n", + " ],\n", + " bases=(pydra.specs.ShellOutSpec,),\n", + ")\n", + "\n", + "# write your solution here" + ] + }, + { + "cell_type": "markdown", + "id": "3dea0ba4", + "metadata": {}, + "source": [ + " DO NOT RUN IF Docker IS NOT AVAILABLE \n", + "\n", + "**Note, that the following task use Docker, so they will fail if the Docker is not available. It will also fail in Binder.**" + ] + }, + { + "cell_type": "markdown", + "id": "af3e2c50", + "metadata": {}, + "source": [ + "## DockerTask\n", + "\n", + "all the commands can be also run in a docker container using `DockerTask`. Syntax is very similar, but additional argument `image` is required." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "3ff10c2b", + "metadata": { + "tags": [ + "raises-exception" + ] + }, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'docker': 'docker'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31m_RemoteTraceback\u001b[0m Traceback (most recent call last)", + "\u001b[0;31m_RemoteTraceback\u001b[0m: \n\"\"\"\nTraceback (most recent call last):\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/concurrent/futures/process.py\", line 239, in _process_worker\n r = call_item.fn(*call_item.args, **call_item.kwargs)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/core.py\", line 506, in _run\n self._run_task()\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/task.py\", line 530, in _run_task\n values = execute(args, strip=self.strip)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/helpers.py\", line 584, in execute\n rc, stdout, stderr = read_and_display(*cmd, strip=strip)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/helpers.py\", line 549, in read_and_display\n process = sp.run(cmd, stdout=sp.PIPE, stderr=sp.PIPE)\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/subprocess.py\", line 488, in run\n with Popen(*popenargs, **kwargs) as process:\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/subprocess.py\", line 800, in __init__\n restore_signals, start_new_session)\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/subprocess.py\", line 1551, in _execute_child\n raise child_exception_type(errno_num, err_msg, err_filename)\nFileNotFoundError: [Errno 2] No such file or directory: 'docker': 'docker'\n\"\"\"", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2204/927375447.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mpydra\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSubmitter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mdocky\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubmitter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msub\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mdocky\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, submitter, plugin, plugin_kwargs, rerun, **kwargs)\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0msubmitter\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 449\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mattr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 450\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 451\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# tasks without state could be run without a submitter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 452\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/submitter.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, runnable, cache_locations, rerun)\u001b[0m\n\u001b[1;32m 39\u001b[0m \u001b[0;32mif\u001b[0m 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\u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__step\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcoro\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcoro\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mthrow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexc\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 252\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 253\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_must_cancel\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/submitter.py\u001b[0m in \u001b[0;36msubmit_from_call\u001b[0;34m(self, runnable, rerun)\u001b[0m\n\u001b[1;32m 74\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mrunnable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 75\u001b[0m \u001b[0;31m# run_el should always return a coroutine\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 76\u001b[0;31m \u001b[0;32mawait\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mworker\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_el\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrunnable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrerun\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 77\u001b[0m \u001b[0;31m# 3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 78\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/workers.py\u001b[0m in \u001b[0;36mexec_as_coro\u001b[0;34m(self, runnable, rerun)\u001b[0m\n\u001b[1;32m 162\u001b[0m \u001b[0;34m\"\"\"Run a task (coroutine wrapper).\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrunnable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mTaskBase\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 164\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mawait\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_in_executor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpool\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrunnable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_asyncio_future_blocking\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 263\u001b[0;31m \u001b[0;32myield\u001b[0m \u001b[0mself\u001b[0m \u001b[0;31m# This tells Task to wait for completion.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 264\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdone\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 265\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"await wasn't used with future\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__wakeup\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__wakeup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 318\u001b[0;31m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 319\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;31m# This may also be a cancellation.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__log_traceback\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 181\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 182\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'docker': 'docker'" + ] + } + ], + "source": [ + "cmd = \"whoami\"\n", + "docky = pydra.DockerTask(name=\"docky\", executable=cmd, image=\"busybox\")\n", + "\n", + "with pydra.Submitter() as sub:\n", + " docky(submitter=sub)\n", + "\n", + "docky.result()" + ] + }, + { + "cell_type": "markdown", + "id": "44f2111a", + "metadata": {}, + "source": [ + "### Exercise2\n", + "\n", + "Use splitter to run the same command in two different images:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "6480c0dc", + "metadata": { + "tags": [ + "hide-cell", + "raises-exception" + ] + }, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno [Errno 2] No such file or directory: 'docker': 'docker'] full crash report is here: /private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmpcocsl_8h/DockerTask_f5242594d4dd0c8a35fdfe4895b6f72db31ddf6dd45b378171aaf6eef1d44c4e/_error.pklz", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31m_RemoteTraceback\u001b[0m Traceback (most recent call last)", + "\u001b[0;31m_RemoteTraceback\u001b[0m: \n\"\"\"\nFileNotFoundError: [Errno 2] No such file or directory: 'docker': 'docker'\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/concurrent/futures/process.py\", line 239, in _process_worker\n r = call_item.fn(*call_item.args, **call_item.kwargs)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/helpers.py\", line 804, in load_and_run\n f\" full crash report is here: {errorfile}\",\nFileNotFoundError: [Errno [Errno 2] No such file or directory: 'docker': 'docker'] full crash report is here: /private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmpcocsl_8h/DockerTask_f5242594d4dd0c8a35fdfe4895b6f72db31ddf6dd45b378171aaf6eef1d44c4e/_error.pklz\n\"\"\"", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2204/2962768199.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mpydra\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSubmitter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mdocky\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubmitter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msub\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0mdocky\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, submitter, plugin, plugin_kwargs, rerun, **kwargs)\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0msubmitter\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 449\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mattr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 450\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 451\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# tasks without state could be run without a submitter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 452\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m,\u001b[0m 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completed.')\n\u001b[0;32m---> 89\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 90\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 91\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_run_once\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__log_traceback\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m 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"\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/submitter.py\u001b[0m in \u001b[0;36msubmit_from_call\u001b[0;34m(self, runnable, rerun)\u001b[0m\n\u001b[1;32m 77\u001b[0m \u001b[0;31m# 3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 78\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 79\u001b[0;31m \u001b[0;32mawait\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexpand_runnable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrunnable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwait\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrerun\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 80\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 81\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/submitter.py\u001b[0m in \u001b[0;36mexpand_runnable\u001b[0;34m(self, runnable, wait, rerun)\u001b[0m\n\u001b[1;32m 125\u001b[0m \u001b[0;31m# if wait is True, we are at the end of the graph / state expansion.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 126\u001b[0m \u001b[0;31m# Once the remaining jobs end, we will exit `submit_from_call`\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m \u001b[0;32mawait\u001b[0m \u001b[0masyncio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgather\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mfutures\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 128\u001b[0m \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 129\u001b[0m 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\u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;31m# This may also be a cancellation.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__step\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcoro\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0mrunnable\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 167\u001b[0m res = await self.loop.run_in_executor(\n\u001b[0;32m--> 168\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpool\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mload_and_run\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtask_main_pkl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrerun\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 169\u001b[0m )\n\u001b[1;32m 170\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mres\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36m__await__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 261\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m 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used with future\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__wakeup\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__wakeup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 318\u001b[0;31m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 319\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;31m# This may also be a cancellation.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__log_traceback\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 181\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 182\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno [Errno 2] No such file or directory: 'docker': 'docker'] full crash report is here: /private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/tmpcocsl_8h/DockerTask_f5242594d4dd0c8a35fdfe4895b6f72db31ddf6dd45b378171aaf6eef1d44c4e/_error.pklz" + ] + } + ], + "source": [ + "cmd = \"whoami\"\n", + "docky = pydra.DockerTask(name=\"docky\", executable=cmd, image=[\"busybox\", \"ubuntu\"]).split(\"image\")\n", + "\n", + "with pydra.Submitter() as sub:\n", + " docky(submitter=sub)\n", + "\n", + "docky.result()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "fe74fcf2", + "metadata": {}, + "outputs": [], + "source": [ + "#write your solution here" + ] + }, + { + "cell_type": "markdown", + "id": "3d31b900", + "metadata": {}, + "source": [ + "#### Using `ShellCommandTask` with `container_info` argument:\n", + "\n", + "You can run the shell command in a docker container by adding `container_info` argument to `ShellCommandTask`:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "0dfaeec8", + "metadata": { + "tags": [ + "raises-exception" + ] + }, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'docker': 'docker'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31m_RemoteTraceback\u001b[0m Traceback (most recent call last)", + "\u001b[0;31m_RemoteTraceback\u001b[0m: \n\"\"\"\nTraceback (most recent call last):\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/concurrent/futures/process.py\", line 239, in _process_worker\n r = call_item.fn(*call_item.args, **call_item.kwargs)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/core.py\", line 506, in _run\n self._run_task()\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/task.py\", line 530, in _run_task\n values = execute(args, strip=self.strip)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/helpers.py\", line 584, in execute\n rc, stdout, stderr = read_and_display(*cmd, strip=strip)\n File \"/Users/yibeichen/GDrive/GitHub/pydra/pydra/engine/helpers.py\", line 549, in read_and_display\n process = sp.run(cmd, stdout=sp.PIPE, stderr=sp.PIPE)\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/subprocess.py\", line 488, in run\n with Popen(*popenargs, **kwargs) as process:\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/subprocess.py\", line 800, in __init__\n restore_signals, start_new_session)\n File \"/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/subprocess.py\", line 1551, in _execute_child\n raise child_exception_type(errno_num, err_msg, err_filename)\nFileNotFoundError: [Errno 2] No such file or directory: 'docker': 'docker'\n\"\"\"", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/ipykernel_2204/2355727424.py\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mshelly\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpydra\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mShellCommandTask\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"shelly\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexecutable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"whoami\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontainer_info\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"docker\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"busybox\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mpydra\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSubmitter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mshelly\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msubmitter\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msub\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mshelly\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, submitter, plugin, plugin_kwargs, rerun, **kwargs)\u001b[0m\n\u001b[1;32m 448\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0msubmitter\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 449\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mattr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mevolve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 450\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 451\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;31m# tasks without state could be run without a submitter\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 452\u001b[0m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrerun\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/GDrive/GitHub/pydra/pydra/engine/submitter.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, runnable, cache_locations, rerun)\u001b[0m\n\u001b[1;32m 39\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcache_locations\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 40\u001b[0m \u001b[0mrunnable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcache_locations\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcache_locations\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 41\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_until_complete\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubmit_from_call\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrunnable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrerun\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 42\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mrunnable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/site-packages/nest_asyncio.py\u001b[0m in \u001b[0;36mrun_until_complete\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 87\u001b[0m raise RuntimeError(\n\u001b[1;32m 88\u001b[0m 'Event loop stopped before Future completed.')\n\u001b[0;32m---> 89\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 90\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 91\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_run_once\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__log_traceback\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 181\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 182\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__step\u001b[0;34m(***failed resolving arguments***)\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcoro\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 250\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_asyncio_future_blocking\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 263\u001b[0;31m \u001b[0;32myield\u001b[0m \u001b[0mself\u001b[0m \u001b[0;31m# This tells Task to wait for completion.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 264\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdone\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 265\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mRuntimeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"await wasn't used with future\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/tasks.py\u001b[0m in \u001b[0;36m__wakeup\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 316\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__wakeup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 317\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 318\u001b[0;31m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 319\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;31m# This may also be a cancellation.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m~/miniconda3/envs/pydra/lib/python3.7/asyncio/futures.py\u001b[0m in \u001b[0;36mresult\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__log_traceback\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 180\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 181\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 182\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'docker': 'docker'" + ] + } + ], + "source": [ + "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=\"whoami\", container_info=(\"docker\", \"busybox\"))\n", + "with pydra.Submitter() as sub:\n", + " shelly(submitter=sub)\n", + "\n", + "shelly.result()" + ] + }, + { + "cell_type": "markdown", + "id": "8a92cc19", + "metadata": {}, + "source": [ + "If we don't provide `container_info` the output should be different:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e8748b9f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Result(output=Output(return_code=0, stdout='yibeichen\\n', stderr=''), runtime=None, errored=False)" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=\"whoami\")\n", + "with pydra.Submitter() as sub:\n", + " shelly(submitter=sub)\n", + "\n", + "shelly.result()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "74b774a1", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 13, + 18, + 29, + 37, + 41, + 48, + 52, + 55, + 59, + 61, + 65, + 70, + 78, + 83, + 93, + 99, + 115, + 134, + 149, + 153, + 165, + 171, + 177, + 181, + 192, + 198, + 220, + 226, + 232, + 244, + 250, + 262, + 264, + 270, + 278, + 282, + 290 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/jupyterbook/_build/html/_sources/notebooks/5_intro_shelltask.md b/jupyterbook/_build/html/_sources/notebooks/5_intro_shelltask.md new file mode 100644 index 0000000..94a801b --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/5_intro_shelltask.md @@ -0,0 +1,292 @@ +--- +jupytext: + formats: ipynb,md:myst + text_representation: + extension: .md + format_name: myst + format_version: 0.13 + jupytext_version: 1.13.8 +kernelspec: + display_name: Python 3 + language: python + name: python3 +--- + +# 5. ShellCommandTask + + +```{code-cell} ipython3 +--- +jupyter: + outputs_hidden: false +pycharm: + name: '#%% + + ' +--- +import nest_asyncio +nest_asyncio.apply() +``` + + + +In addition to `FunctionTask`, pydra allows for creating tasks from shell commands by using `ShellCommandTask`. + +Let's run a simple command `pwd` using pydra + +```{code-cell} ipython3 +import pydra +``` + +```{code-cell} ipython3 +cmd = "pwd" +# we should use executable to pass the command we want to run +shelly = pydra.ShellCommandTask(name="shelly", executable=cmd) + +# we can always check the cmdline of our task +shelly.cmdline +``` + +and now let's try to run it: + +```{code-cell} ipython3 +with pydra.Submitter(plugin="cf") as sub: + sub(shelly) +``` + +and check the result + +```{code-cell} ipython3 +shelly.result() +``` + +the result should have `return_code`, `stdout` and `stderr`. If everything goes well `return_code` should be `0`, `stdout` should point to the working directory and `stderr` should be an empty string. + ++++ + +## Commands with arguments and inputs +you can also use longer command by providing a list: + +```{code-cell} ipython3 +cmd = ["echo", "hail", "pydra"] +shelly = pydra.ShellCommandTask(name="shelly", executable=cmd) +print("cmndline = ", shelly.cmdline) + +with pydra.Submitter(plugin="cf") as sub: + sub(shelly) +shelly.result() +``` + +### using args +In addition to `executable`, we can also use `args`. Last example can be also rewritten: + +```{code-cell} ipython3 +cmd = "echo" +args = ["hail", "pydra"] + +shelly = pydra.ShellCommandTask(name="shelly", executable=cmd, args=args) +print("cmndline = ", shelly.cmdline) + +with pydra.Submitter(plugin="cf") as sub: + sub(shelly) +shelly.result() +``` + +## Customized input + +Pydra always checks `executable` and `args`, but we can also provide additional inputs, in order to do it, we have to modify `input_spec` first by using `SpecInfo` class: + +```{code-cell} ipython3 +import attr + +my_input_spec = pydra.specs.SpecInfo( + name="Input", + fields=[ + ( + "text", + attr.ib( + type=str, + metadata={"position": 1, "argstr": "", "help_string": "text", "mandatory": True}, + ), + ) + ], + bases=(pydra.specs.ShellSpec,), +) +``` + +Notice, that in order to create your own `input_spec`, you have to provide a list of `fields`. There are several valid syntax to specify elements of `fields`: +- `(name, attribute)` +- `(name, type, default)` +- `(name, type, default, metadata)` +- `(name, type, metadata)` + +where `name`, `type`, and `default` are the name, type and default values of the field. `attribute` is defined by using `attr.ib`, in the example the attribute has `type` and `metadata`, but the full specification can be found [here](https://www.attrs.org/en/stable/api.html#attr.ib). + +In `metadata`, you can provide additional information that is used by `pydra`, `help_string` is the only key that is required, and the full list of supported keys is `['position', 'argstr', 'requires', 'mandatory', 'allowed_values', 'output_field_name', 'copyfile', 'separate_ext', 'container_path', 'help_string', 'xor', 'output_file_template']`. Among the supported keys, you have: +- `help_string`: a sring, description of the argument; +- `position`: integer grater than 0, defines the relative position of the arguments when the shell command is constructed; +- `argstr`: a string, e.g. "-o", can be used to specify a flag if needed for the command argument; +- `mandatory`: a bool, if True, pydra will raise an exception, if the argument is not provided; + +The complete documentations for all suported keys is available [here](https://pydra.readthedocs.io/en/latest/input_spec.html). + + ++++ + +To define `my_input_spec` we used the most general syntax that requires `(name, attribute)`, but +perhaps the simplest syntax is the last one, that contains `(name, type, metadata)`. Using this syntax, `my_input_spec` could look like this: + +``` +my_input_spec_short = pydra.specs.SpecInfo( + name="Input", + fields=[ + ("text", str, {"position": 1, "help_string": "text", "mandatory": True}), + ], + bases=(pydra.specs.ShellSpec,), +) +``` + ++++ + +After defining `my_input_spec`, we can define our task: + +```{code-cell} ipython3 +cmd_exec = "echo" +hello = "HELLO" +shelly = pydra.ShellCommandTask( + name="shelly", executable=cmd_exec, text=hello, input_spec=my_input_spec +) + +print("cmndline = ", shelly.cmdline) + +with pydra.Submitter(plugin="cf") as sub: + sub(shelly) +shelly.result() +``` + +## Customized output + +We can also customized output if we want to return something more than the `stdout`, e.g. a file. + +```{code-cell} ipython3 +my_output_spec = pydra.specs.SpecInfo( + name="Output", + fields=[("newfile", pydra.specs.File, "newfile_tmp.txt")], + bases=(pydra.specs.ShellOutSpec,), +) +``` + +now we can create a task that returns a new file: + +```{code-cell} ipython3 +cmd = ["touch", "newfile_tmp.txt"] +shelly = pydra.ShellCommandTask(name="shelly", executable=cmd, output_spec=my_output_spec) + +print("cmndline = ", shelly.cmdline) + +with pydra.Submitter(plugin="cf") as sub: + sub(shelly) +shelly.result() +``` + ++++ {"solution2": "hidden", "solution2_first": true} + +### Exercise 1 + +Write a task that creates two new files, use provided output spec. + +```{code-cell} ipython3 +cmd = "touch" +args = ["newfile_1.txt", "newfile_2.txt"] + +my_output_spec = pydra.specs.SpecInfo( + name="Output", + fields=[ + ( + "out1", + attr.ib( + type=pydra.specs.File, + metadata={ + "output_file_template": "{args}", + "help_string": "output file", + }, + ), + ) + ], + bases=(pydra.specs.ShellOutSpec,), +) + +# write your solution here +``` + + DO NOT RUN IF Docker IS NOT AVAILABLE + +**Note, that the following task use Docker, so they will fail if the Docker is not available. It will also fail in Binder.** + ++++ + +## DockerTask + +all the commands can be also run in a docker container using `DockerTask`. Syntax is very similar, but additional argument `image` is required. + +```{code-cell} ipython3 +:tags: [raises-exception] + +cmd = "whoami" +docky = pydra.DockerTask(name="docky", executable=cmd, image="busybox") + +with pydra.Submitter() as sub: + docky(submitter=sub) + +docky.result() +``` + ++++ + +### Exercise2 + +Use splitter to run the same command in two different images: + +```{code-cell} ipython3 +:tags: [hide-cell,raises-exception] + +cmd = "whoami" +docky = pydra.DockerTask(name="docky", executable=cmd, image=["busybox", "ubuntu"]).split("image") + +with pydra.Submitter() as sub: + docky(submitter=sub) + +docky.result() +``` + +```{code-cell} ipython3 +#write your solution here +``` + +#### Using `ShellCommandTask` with `container_info` argument: + +You can run the shell command in a docker container by adding `container_info` argument to `ShellCommandTask`: + +```{code-cell} ipython3 +:tags: [raises-exception] + +shelly = pydra.ShellCommandTask(name="shelly", executable="whoami", container_info=("docker", "busybox")) +with pydra.Submitter() as sub: + shelly(submitter=sub) + +shelly.result() +``` + +If we don't provide `container_info` the output should be different: + +```{code-cell} ipython3 +shelly = pydra.ShellCommandTask(name="shelly", executable="whoami") +with pydra.Submitter() as sub: + shelly(submitter=sub) + +shelly.result() +``` + +```{code-cell} ipython3 + +``` diff --git a/jupyterbook/_build/html/_sources/notebooks/6_glm_from_nilearn.ipynb b/jupyterbook/_build/html/_sources/notebooks/6_glm_from_nilearn.ipynb new file mode 100644 index 0000000..808b1d1 --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/6_glm_from_nilearn.ipynb @@ -0,0 +1,908 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6d0d9278", + "metadata": { + "tags": [] + }, + "source": [ + "# 6. First level GLM" + ] + }, + { + "cell_type": "markdown", + "id": "1a8ef9c6", + "metadata": {}, + "source": [ + "In this tutorial, we will go through a simple workflow of the first level general linear modeling with a BIDS dataset from openneuro. This analysis is only performed on **one** subject.\n", + "\n", + "This tutorial is based on the [Nilearn GLM tutorial](https://nilearn.github.io/stable/auto_examples/04_glm_first_level/plot_bids_features.html#sphx-glr-auto-examples-04-glm-first-level-plot-bids-features-py)." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "41f7ff4a", + "metadata": {}, + "outputs": [], + "source": [ + "import nest_asyncio\n", + "nest_asyncio.apply()" + ] + }, + { + "cell_type": "markdown", + "id": "94e8e787", + "metadata": { + "tags": [] + }, + "source": [ + "## Preparation\n", + "\n", + "Import packages that will be used globally and set up output directory" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c7b80603", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import pydra\n", + "from pydra import Workflow\n", + "from pydra.engine.specs import File\n", + "import typing as ty\n", + "from pathlib import Path\n", + "\n", + "# get current directory\n", + "pydra_tutorial_dir = os.path.dirname(os.getcwd())\n", + "\n", + "# set up output directory\n", + "workflow_dir = Path(pydra_tutorial_dir) / \"outputs\" \n", + "workflow_out_dir = workflow_dir / \"6_glm\"\n", + "\n", + "# create the output directory if not exit\n", + "os.makedirs(workflow_out_dir, exist_ok = True) " + ] + }, + { + "cell_type": "markdown", + "id": "76594846", + "metadata": { + "tags": [] + }, + "source": [ + "## Create tasks\n", + "\n", + "In this section, we converte major steps into tasks.\n", + "Each pydra task can have multiple python functions. We recommand to put those logically more related functions into the same task.\n", + "\n", + "It is very **important** to keep in mind what adjacent tasks of your current task will be.\n", + "1. Your previous task will decide your arguments in the current task\n", + "2. Your next task will be impacted by the returns in the current task" + ] + }, + { + "cell_type": "markdown", + "id": "3eaf9472", + "metadata": {}, + "source": [ + "### fetch openneuro BIDS dataset\n", + "\n", + "In this task, we do the following:\n", + "1. get openneuro dataset index\n", + "2. specify exclusion patterns and number of subjects\n", + "3. download the data we need\n", + "\n", + "\n", + "**Notes:** Here we still use `n_subjects` as an argument. Given that we will only analyze one subject, you can also remove this argument and specify `n_subjects =1` in `select_from_index`. If you do, do not forget to modify the argument in the workflow later." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e5e2c446", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"exclusion_patterns\": list, \"n_subjects\":int, \"return\": {\"data_dir\":str}})\n", + "def get_openneuro_dataset(exclusion_patterns, n_subjects):\n", + " \n", + " from nilearn.datasets import (fetch_openneuro_dataset_index,\n", + " fetch_openneuro_dataset, select_from_index)\n", + " _, urls = fetch_openneuro_dataset_index()\n", + " urls = select_from_index(\n", + " urls, exclusion_filters=exclusion_patterns, n_subjects = n_subjects)\n", + " data_dir, _ = fetch_openneuro_dataset(urls=urls)\n", + " return data_dir" + ] + }, + { + "cell_type": "markdown", + "id": "5fd27fb2", + "metadata": {}, + "source": [ + "### obtain FirstLevelModel objects automatically and fit arguments\n", + "\n", + "To get the first level model(s) we have to specify \n", + "1. the dataset directory\n", + "2. the task_label\n", + "3. the space_label \n", + "4. the folder with the desired derivatives (fMRIPrep)\n", + "\n", + "In our case, we only have one subject so we will only have one first level model.\n", + "Then, for this model, we will obtain \n", + "1. the list of run images \n", + "2. events\n", + "3. confound regressors \n", + "\n", + "Those are inferred from the confounds.tsv files available in the BIDS dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "539c5b9e", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"data_dir\": str, \"task_label\": str, \"space_label\": str,\"derivatives_folder\": str, \"smoothing_fwhm\": float, \n", + " \"return\": {\"model\": ty.Any, \"imgs\": list, \"subject\": str}})\n", + "def get_info_from_bids(\n", + " data_dir,\n", + " task_label,\n", + " space_label,\n", + " smoothing_fwhm,\n", + " derivatives_folder\n", + "):\n", + " from nilearn.glm.first_level import first_level_from_bids\n", + " models, models_run_imgs, models_events, models_confounds = \\\n", + " first_level_from_bids(dataset_path = data_dir, task_label = task_label, space_label = space_label,\n", + " smoothing_fwhm = smoothing_fwhm, derivatives_folder = derivatives_folder)\n", + " model, imgs, events, confounds = (\n", + " models[0], models_run_imgs[0], models_events[0], models_confounds[0])\n", + " subject = \"sub-\" + model.subject_label\n", + " return model, imgs, subject" + ] + }, + { + "cell_type": "markdown", + "id": "1a6b1dc8", + "metadata": {}, + "source": [ + "### Get design matrix\n", + "\n", + "This task does the following:\n", + "1. read the design matrix in `.mat`\n", + "2. rename the column\n", + "3. save the new design matrix as `.csv`\n", + "\n", + "**Think:** What if we don't save the new design matrix, but `return` it directly? In other words, we `return` a `pandas.DataFrame` instead of a `path`. What will happen? Worth a try :)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "658318e1", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"data_dir\":str, \"subject\":str, \"return\": {\"dm_path\": str}})\n", + "def get_designmatrix(data_dir, subject):\n", + " \n", + " from nilearn.interfaces.fsl import get_design_from_fslmat\n", + " fsl_design_matrix_path = os.path.join(\n", + " data_dir, 'derivatives', 'task', subject, 'stopsignal.feat', 'design.mat')\n", + " design_matrix = get_design_from_fslmat(fsl_design_matrix_path, column_names=None)\n", + " \n", + " design_columns = ['cond_%02d' % i for i in range(len(design_matrix.columns))]\n", + " design_columns[0] = 'Go'\n", + " design_columns[4] = 'StopSuccess'\n", + " design_matrix.columns = design_columns\n", + " dm_path = os.path.join(workflow_out_dir, \"designmatrix.csv\")\n", + " design_matrix.to_csv(dm_path,index=None)\n", + " return dm_path " + ] + }, + { + "cell_type": "markdown", + "id": "bebefe35", + "metadata": {}, + "source": [ + "### Fit the first level model\n", + "\n", + "What we are doing here is:\n", + "1. use the design matrix to fit the first level model\n", + "2. compute the contrast\n", + "3. save the z_map and masker for futher use" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "3e024998", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"model\": ty.Any,\"imgs\": ty.Any,\n", + " \"dm_path\": ty.Any,\"contrast\": str,\n", + " \"return\": {\"model\": ty.Any, \"z_map_path\":str, \"masker\":ty.Any}})\n", + "def model_fit(\n", + " model, \n", + " imgs,\n", + " dm_path,\n", + " contrast\n", + "):\n", + " import pandas as pd\n", + " design_matrix = pd.read_csv(dm_path)\n", + " model.fit(imgs, design_matrices = [design_matrix])\n", + " z_map = model.compute_contrast(contrast)\n", + " z_map_path = os.path.join(workflow_out_dir, \"firstlevel_z_map.nii.gz\")\n", + " z_map.to_filename(z_map_path)\n", + " masker_path = os.path.join(workflow_out_dir, \"firstlevel_masker.nii.gz\")\n", + " masker = model.masker_\n", + " return model, z_map_path, masker" + ] + }, + { + "cell_type": "markdown", + "id": "964f5cab", + "metadata": {}, + "source": [ + "### Get cluster table and glm report\n", + "\n", + "For publication purposes, we obtain a cluster table and a summary report." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "5f8d0bb7", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"z_map_path\":str,\n", + " \"return\":{\"output_file\":str}})\n", + "def cluster_table(z_map_path):\n", + " import nibabel as nib\n", + " from nilearn.reporting import get_clusters_table\n", + " from scipy.stats import norm\n", + " \n", + " stat_img = nib.load(z_map_path)\n", + " output_file = os.path.join(workflow_out_dir, \"cluster_table.csv\")\n", + " df = get_clusters_table(stat_img,\n", + " stat_threshold = norm.isf(0.001), \n", + " cluster_threshold=10)\n", + " df.to_csv(output_file, index=None)\n", + " return output_file\n", + "\n", + "# get glm report\n", + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"model\":ty.Any, \"contrasts\":str,\n", + " \"return\":{\"output_file\":str}})\n", + "def glm_report(\n", + " model,\n", + " contrasts\n", + "):\n", + " from nilearn.reporting import make_glm_report\n", + " output_file = os.path.join(workflow_out_dir, \"glm_report.html\")\n", + " report = make_glm_report(model, contrasts)\n", + " report.save_as_html(output_file)\n", + " return output_file" + ] + }, + { + "cell_type": "markdown", + "id": "91ab6707", + "metadata": {}, + "source": [ + "### Make plots \n", + "\n", + "Here we want to make some plots to display our results and compare the result from FSL.\n", + "1. plot nilearn z-map\n", + "2. plot fsl z-map\n", + "3. plot nilearn and fsl comparison\n", + "4. plot design matrix contrast\n", + "\n", + "You can also seperate this task into multiple sub-tasks. But it makes more sense to put them into one task as they use the same files and function `nilearn.plotting` repeatedly." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "5eea1ffc", + "metadata": {}, + "outputs": [], + "source": [ + "@pydra.mark.task\n", + "@pydra.mark.annotate({\"data_dir\":str, \"dm_path\":str, \"z_map_path\":str, \n", + " \"contrast\":str,\"subject\":str, \"masker\":ty.Any, \n", + " \"return\":{\"output_file1\":str, \"output_file2\":str,\n", + " \"output_file3\":str, \"output_file4\":str}})\n", + "def plots(\n", + " data_dir,\n", + " dm_path,\n", + " z_map_path,\n", + " contrast,\n", + " subject,\n", + " masker,\n", + "):\n", + " import pandas as pd\n", + " import nibabel as nib\n", + " from nilearn.plotting import plot_glass_brain, plot_img_comparison, plot_contrast_matrix\n", + " import matplotlib.pyplot as plt\n", + " from scipy.stats import norm\n", + " \n", + " # plot and save nilearn z-map\n", + " z_map = nib.load(z_map_path)\n", + " output_file1 = os.path.join(workflow_out_dir, \"nilearn_z_map.jpg\")\n", + " plot_glass_brain(z_map, output_file = output_file1, colorbar = True,\n", + " threshold = norm.isf(0.001), title = 'Nilearn Z map of \"StopSuccess - Go\" (unc p<0.001)',\n", + " plot_abs = False, display_mode = 'ortho')\n", + " \n", + " # plot and save fsl z-map\n", + " fsl_z_map = nib.load(\n", + " os.path.join(data_dir, 'derivatives', 'task', subject, 'stopsignal.feat',\n", + " 'stats', 'zstat12.nii.gz'))\n", + " output_file2 = os.path.join(workflow_out_dir, \"fsl_z_map.jpg\")\n", + " plot_glass_brain(fsl_z_map, output_file = output_file2, colorbar = True, \n", + " threshold = norm.isf(0.001), title = 'FSL Z map of \"StopSuccess - Go\" (unc p<0.001)',\n", + " plot_abs = False, display_mode = 'ortho')\n", + " \n", + " # plot and save nilearn and fsl comparison\n", + " plot_img_comparison([z_map], [fsl_z_map], masker, output_dir = workflow_out_dir, \n", + " ref_label = 'Nilearn', src_label = 'FSL')\n", + " old = os.path.join(workflow_out_dir, \"0000.png\")\n", + " new = os.path.join(workflow_out_dir, \"nilearn_fsl_comp.jpg\")\n", + " output_file3 = os.rename(old,new)\n", + " \n", + " # plot and save design matrix contrast\n", + " design_matrix = pd.read_csv(dm_path)\n", + " output_file4 = os.path.join(workflow_out_dir, \"firstlevel_contrast.jpg\")\n", + " plot_contrast_matrix(contrast, design_matrix, output_file = output_file4)\n", + " return output_file1, output_file2, output_file3, output_file4" + ] + }, + { + "cell_type": "markdown", + "id": "d4988eac", + "metadata": { + "tags": [] + }, + "source": [ + "## Make a workflow from tasks\n", + "\n", + "Now we have created all tasks we need for this first level analysis, and there are two choices for our next step.\n", + "1. create one workflow to connect all tasks together\n", + "2. create sub-workflows with some closely related tasks, and connect these workflows along with other tasks into a larger workflow.\n", + "\n", + "We recommand the second approach as it is alway a good practice to group tasks, especially when there are a large number of tasks in the analysis.\n", + "\n", + "Our analysis can be divided into three parts: (1) get/read the data, (2) analyze the data, and (3) plot the result, where (1) and (3) only have one task each. So we can put all tasks in (2) into one workflow and name it as `firstlevel` or whatever you prefer." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "633d2734", + "metadata": {}, + "outputs": [], + "source": [ + "# initiate a workflow\n", + "wf_firstlevel = Workflow(name=\"wf_firstlevel\", input_spec=[\"data_dir\",\n", + " \"task_label\",\n", + " \"space_label\",\n", + " \"derivatives_folder\",\n", + " \"smoothing_fwhm\",\n", + " \"contrast\",\n", + " \"output_dir\"]\n", + " )\n", + "\n", + "# specify input\n", + "wf_firstlevel.inputs.task_label = 'stopsignal'\n", + "wf_firstlevel.inputs.space_label = 'MNI152NLin2009cAsym'\n", + "wf_firstlevel.inputs.derivatives_folder = 'derivatives/fmriprep'\n", + "wf_firstlevel.inputs.smoothing_fwhm = 5.0\n", + "\n", + "# add task - get_info_from_bids\n", + "wf_firstlevel.add(get_info_from_bids(name=\"get_info_from_bids\",\n", + " data_dir = wf_firstlevel.lzin.data_dir,\n", + " task_label = wf_firstlevel.lzin.task_label,\n", + " space_label = wf_firstlevel.lzin.space_label,\n", + " derivatives_folder = wf_firstlevel.lzin.derivatives_folder,\n", + " smoothing_fwhm = wf_firstlevel.lzin.smoothing_fwhm\n", + " )\n", + " )\n", + "# add task - get_designmatrix\n", + "wf_firstlevel.add(get_designmatrix(name = \"get_designmatrix\",\n", + " data_dir = wf_firstlevel.lzin.data_dir,\n", + " subject = wf_firstlevel.get_info_from_bids.lzout.subject,\n", + " )\n", + " )\n", + "wf_firstlevel.add(model_fit(name = \"l1estimation\",\n", + " model = wf_firstlevel.get_info_from_bids.lzout.model, \n", + " imgs = wf_firstlevel.get_info_from_bids.lzout.imgs, \n", + " dm_path = wf_firstlevel.get_designmatrix.lzout.dm_path,\n", + " contrast = wf_firstlevel.lzin.contrast\n", + " )\n", + " )\n", + "# add task - cluster_table\n", + "wf_firstlevel.add(cluster_table(name = \"cluster_table\", \n", + " z_map_path = wf_firstlevel.l1estimation.lzout.z_map_path))\n", + "# add task - glm_report\n", + "wf_firstlevel.add(glm_report(name = \"glm_report\",\n", + " model = wf_firstlevel.l1estimation.lzout.model,\n", + " contrasts = wf_firstlevel.lzin.contrast\n", + " )\n", + " )\n", + "# specify output\n", + "wf_firstlevel.set_output([\n", + " (\"z_map\", wf_firstlevel.l1estimation.lzout.z_map_path),\n", + " (\"masker\", wf_firstlevel.l1estimation.lzout.masker),\n", + " (\"subject\", wf_firstlevel.get_info_from_bids.lzout.subject),\n", + " (\"dm_path\", wf_firstlevel.get_designmatrix.lzout.dm_path),\n", + " (\"cluster_table\", wf_firstlevel.cluster_table.lzout.output_file),\n", + " (\"glm_report\", wf_firstlevel.glm_report.lzout.output_file)\n", + "])" + ] + }, + { + "cell_type": "markdown", + "id": "922bceaa", + "metadata": { + "tags": [] + }, + "source": [ + "## The overaching workflow\n", + "\n", + "Connect other tasks and the above workflow into one\n", + "\n", + "Now we need to create the overaching glm workflow that connects the above workflow and other tasks (e.g., `get/read the data` and `plot the result`)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "c53abf48", + "metadata": {}, + "outputs": [], + "source": [ + "wf = Workflow(name = \"firstlevel_glm\",\n", + " input_spec = [\"exclusion_patterns\",\"n_subjects\",\"contrast\",\"output_dir\"],\n", + " )\n", + "\n", + "wf.inputs.exclusion_patterns = ['*group*', '*phenotype*', '*mriqc*',\n", + " '*parameter_plots*', '*physio_plots*',\n", + " '*space-fsaverage*', '*space-T1w*',\n", + " '*dwi*', '*beh*', '*task-bart*',\n", + " '*task-rest*', '*task-scap*', '*task-task*']\n", + "wf.inputs.n_subjects = 1\n", + "wf.inputs.output_dir = workflow_out_dir\n", + "wf.inputs.contrast = 'StopSuccess - Go'\n", + "\n", + "wf.add(get_openneuro_dataset(name = \"get_openneuro_dataset\", \n", + " exclusion_patterns = wf.lzin.exclusion_patterns,\n", + " n_subjects = wf.lzin.n_subjects\n", + " )\n", + " )\n", + "\n", + "wf_firstlevel.inputs.data_dir = wf.get_openneuro_dataset.lzout.data_dir\n", + "wf_firstlevel.inputs.contrast = wf.inputs.contrast\n", + "wf_firstlevel.inputs.output_dir = wf.inputs.output_dir\n", + "wf.add(wf_firstlevel)\n", + "\n", + "wf.add(plots(name = \"plots\",\n", + " data_dir = wf.get_openneuro_dataset.lzout.data_dir,\n", + " dm_path = wf_firstlevel.lzout.dm_path,\n", + " z_map_path = wf_firstlevel.lzout.z_map,\n", + " contrast = wf.lzin.contrast,\n", + " subject = wf_firstlevel.lzout.subject,\n", + " masker = wf_firstlevel.lzout.masker\n", + " )\n", + " )\n", + "\n", + "wf.set_output([\n", + " (\"output1\", wf.plots.lzout.output_file1),\n", + " (\"output2\", wf.plots.lzout.output_file2),\n", + " (\"output3\", wf.plots.lzout.output_file3),\n", + " (\"output4\", wf.plots.lzout.output_file4)\n", + "])" + ] + }, + { + "cell_type": "markdown", + "id": "0b7665ac", + "metadata": {}, + "source": [ + "## Run Workflow Run" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4ac44a0a", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/glm/__init__.py:56: FutureWarning: The nilearn.glm module is experimental. It may change in any future release of Nilearn.\n", + " 'It may change in any future release of Nilearn.', FutureWarning)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/glm/first_level/first_level.py:905: UserWarning: SliceTimingRef not found in file /Users/yibeichen/nilearn_data/ds000030/ds000030_R1.0.4/uncompressed/sub-10159/func/sub-10159_task-stopsignal_bold.json. It will be assumed that the slice timing reference is 0.0 percent of the repetition time. If it is not the case it will need to be set manually in the generated list of models\n", + " img_specs[0])\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/glm/__init__.py:56: FutureWarning: The nilearn.glm module is experimental. It may change in any future release of Nilearn.\n", + " 'It may change in any future release of Nilearn.', FutureWarning)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/glm/__init__.py:56: FutureWarning: The nilearn.glm module is experimental. It may change in any future release of Nilearn.\n", + " 'It may change in any future release of Nilearn.', FutureWarning)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/glm/__init__.py:56: FutureWarning: The nilearn.glm module is experimental. It may change in any future release of Nilearn.\n", + " 'It may change in any future release of Nilearn.', FutureWarning)\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/yibeichen/miniconda3/envs/pydra/lib/python3.7/site-packages/nilearn/plotting/img_plotting.py:300: FutureWarning: Default resolution of the MNI template will change from 2mm to 1mm in version 0.10.0\n", + " anat_img = load_mni152_template()\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Result(output=Output(output1='/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/outputs/6_glm/nilearn_z_map.jpg', output2='/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/outputs/6_glm/fsl_z_map.jpg', output3=None, output4='/private/var/folders/wr/x5xt_yqs2cvc_gb3sf147lvc0000gn/T/outputs/6_glm/firstlevel_contrast.jpg'), runtime=None, errored=False)\n" + ] + } + ], + "source": [ + "from pydra import Submitter\n", + "\n", + "with Submitter(plugin=\"cf\", n_procs=4) as submitter:\n", + " submitter(wf)\n", + "\n", + "results = wf.result()\n", + "\n", + "print(results)" + ] + }, + { + "cell_type": "markdown", + "id": "bb4d2884", + "metadata": { + "tags": [] + }, + "source": [ + "## Visualization" + ] + }, + { + "cell_type": "markdown", + "id": "f714f531", + "metadata": {}, + "source": [ + "If you arrive here without any errors, yay, you just made your first pydra workflow for a first-level GLM!" + ] + }, + { + "cell_type": "markdown", + "id": "198b7e3c", + "metadata": {}, + "source": [ + "## Examine folder structure\n", + "\n", + "Let's take a look at what you have got." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "a44d3de5", + "metadata": { + "tags": [ + "hide-output" + ] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "cluster_table.csv firstlevel_z_map.nii.gz nilearn_fsl_comp.jpg\r\n", + "designmatrix.csv fsl_z_map.jpg nilearn_z_map.jpg\r\n", + "firstlevel_contrast.jpg glm_report.html\r\n" + ] + } + ], + "source": [ + "!ls ../outputs/6_glm" + ] + }, + { + "cell_type": "markdown", + "id": "d276f6c3", + "metadata": {}, + "source": [ + "### Plot figures" + ] + }, + { + "cell_type": "markdown", + "id": "6835b330", + "metadata": {}, + "source": [ + "#### First level contrast" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "bb9e2516", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "outputs": [ + { + "data": { + "image/jpeg": 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\n", + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": { + "filenames": { + "image/jpeg": "/Users/yibeichen/GDrive/GitHub/pydra-tutorial/jupyterbook/_build/jupyter_execute/notebooks/6_glm_from_nilearn_30_0.jpg" + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "from IPython.display import Image\n", + "Image(filename='../outputs/6_glm/firstlevel_contrast.jpg') " + ] + }, + { + "cell_type": "markdown", + "id": "acd70191", + "metadata": {}, + "source": [ + "#### Nilearn Z map" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "dd2a79c3", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "outputs": [ + { + "data": { + "image/jpeg": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": { + "filenames": { + "image/jpeg": "/Users/yibeichen/GDrive/GitHub/pydra-tutorial/jupyterbook/_build/jupyter_execute/notebooks/6_glm_from_nilearn_32_0.jpg" + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "Image(filename='../outputs/6_glm/nilearn_z_map.jpg') " + ] + }, + { + "cell_type": "markdown", + "id": "16d1cdcd", + "metadata": {}, + "source": [ + "#### FSL Z map" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "a853225a", + "metadata": { + "tags": [ + "hide-input" + ] + }, + "outputs": [ + { + "data": { + "image/jpeg": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": { + "filenames": { + "image/jpeg": "/Users/yibeichen/GDrive/GitHub/pydra-tutorial/jupyterbook/_build/jupyter_execute/notebooks/6_glm_from_nilearn_36_0.jpg" + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "Image(filename='../outputs/6_glm/nilearn_fsl_comp.jpg') " + ] + }, + { + "cell_type": "markdown", + "id": "d956525a", + "metadata": { + "tags": [] + }, + "source": [ + "## Exercise" + ] + }, + { + "cell_type": "markdown", + "id": "8ac62f27", + "metadata": {}, + "source": [ + "What if we need to run the first-level GLM on multiple subject? We will need the `splitter`. \n", + "\n", + "So, where should we add `.split`?" + ] + } + ], + "metadata": { + "jupytext": { + "formats": "ipynb,md:myst", + "text_representation": { + "extension": ".md", + "format_name": "myst", + "format_version": 0.13, + "jupytext_version": "1.13.8" + } + }, + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.13" + }, + "source_map": [ + 15, + 19, + 25, + 30, + 36, + 55, + 66, + 78, + 90, + 108, + 127, + 138, + 155, + 164, + 184, + 190, + 220, + 232, + 282, + 294, + 353, + 361, + 402, + 406, + 419, + 423, + 427, + 433, + 437, + 441, + 445, + 449, + 453, + 456, + 460, + 463, + 467, + 472, + 476 + ] + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/jupyterbook/_build/html/_sources/notebooks/6_glm_from_nilearn.md b/jupyterbook/_build/html/_sources/notebooks/6_glm_from_nilearn.md new file mode 100644 index 0000000..afb0cb2 --- /dev/null +++ b/jupyterbook/_build/html/_sources/notebooks/6_glm_from_nilearn.md @@ -0,0 +1,480 @@ +--- +jupytext: + formats: ipynb,md:myst + text_representation: + extension: .md + format_name: myst + format_version: 0.13 + jupytext_version: 1.13.8 +kernelspec: + display_name: Python 3 (ipykernel) + language: python + name: python3 +--- + ++++ {"tags": []} + +# 6. First level GLM + ++++ + +In this tutorial, we will go through a simple workflow of the first level general linear modeling with a BIDS dataset from openneuro. This analysis is only performed on **one** subject. + +This tutorial is based on the [Nilearn GLM tutorial](https://nilearn.github.io/stable/auto_examples/04_glm_first_level/plot_bids_features.html#sphx-glr-auto-examples-04-glm-first-level-plot-bids-features-py). + +```{code-cell} ipython3 +import nest_asyncio +nest_asyncio.apply() +``` + ++++ {"tags": []} + +## Preparation + +Import packages that will be used globally and set up output directory + +```{code-cell} ipython3 +import os +import pydra +from pydra import Workflow +from pydra.engine.specs import File +import typing as ty +from pathlib import Path + +# get current directory +pydra_tutorial_dir = os.path.dirname(os.getcwd()) + +# set up output directory +workflow_dir = Path(pydra_tutorial_dir) / "outputs" +workflow_out_dir = workflow_dir / "6_glm" + +# create the output directory if not exit +os.makedirs(workflow_out_dir, exist_ok = True) +``` + ++++ {"tags": []} + +## Create tasks + +In this section, we converte major steps into tasks. +Each pydra task can have multiple python functions. We recommand to put those logically more related functions into the same task. + +It is very **important** to keep in mind what adjacent tasks of your current task will be. +1. Your previous task will decide your arguments in the current task +2. Your next task will be impacted by the returns in the current task + ++++ + +### fetch openneuro BIDS dataset + +In this task, we do the following: +1. get openneuro dataset index +2. specify exclusion patterns and number of subjects +3. download the data we need + + +**Notes:** Here we still use `n_subjects` as an argument. Given that we will only analyze one subject, you can also remove this argument and specify `n_subjects =1` in `select_from_index`. If you do, do not forget to modify the argument in the workflow later. + +```{code-cell} ipython3 +@pydra.mark.task +@pydra.mark.annotate({"exclusion_patterns": list, "n_subjects":int, "return": {"data_dir":str}}) +def get_openneuro_dataset(exclusion_patterns, n_subjects): + + from nilearn.datasets import (fetch_openneuro_dataset_index, + fetch_openneuro_dataset, select_from_index) + _, urls = fetch_openneuro_dataset_index() + urls = select_from_index( + urls, exclusion_filters=exclusion_patterns, n_subjects = n_subjects) + data_dir, _ = fetch_openneuro_dataset(urls=urls) + return data_dir +``` + +### obtain FirstLevelModel objects automatically and fit arguments + +To get the first level model(s) we have to specify +1. the dataset directory +2. the task_label +3. the space_label +4. the folder with the desired derivatives (fMRIPrep) + +In our case, we only have one subject so we will only have one first level model. +Then, for this model, we will obtain +1. the list of run images +2. events +3. confound regressors + +Those are inferred from the confounds.tsv files available in the BIDS dataset. + +```{code-cell} ipython3 +@pydra.mark.task +@pydra.mark.annotate({"data_dir": str, "task_label": str, "space_label": str,"derivatives_folder": str, "smoothing_fwhm": float, + "return": {"model": ty.Any, "imgs": list, "subject": str}}) +def get_info_from_bids( + data_dir, + task_label, + space_label, + smoothing_fwhm, + derivatives_folder +): + from nilearn.glm.first_level import first_level_from_bids + models, models_run_imgs, models_events, models_confounds = \ + first_level_from_bids(dataset_path = data_dir, task_label = task_label, space_label = space_label, + smoothing_fwhm = smoothing_fwhm, derivatives_folder = derivatives_folder) + model, imgs, events, confounds = ( + models[0], models_run_imgs[0], models_events[0], models_confounds[0]) + subject = "sub-" + model.subject_label + return model, imgs, subject +``` + +### Get design matrix + +This task does the following: +1. read the design matrix in `.mat` +2. rename the column +3. save the new design matrix as `.csv` + +**Think:** What if we don't save the new design matrix, but `return` it directly? In other words, we `return` a `pandas.DataFrame` instead of a `path`. What will happen? Worth a try :) + +```{code-cell} ipython3 +@pydra.mark.task +@pydra.mark.annotate({"data_dir":str, "subject":str, "return": {"dm_path": str}}) +def get_designmatrix(data_dir, subject): + + from nilearn.interfaces.fsl import get_design_from_fslmat + fsl_design_matrix_path = os.path.join( + data_dir, 'derivatives', 'task', subject, 'stopsignal.feat', 'design.mat') + design_matrix = get_design_from_fslmat(fsl_design_matrix_path, column_names=None) + + design_columns = ['cond_%02d' % i for i in range(len(design_matrix.columns))] + design_columns[0] = 'Go' + design_columns[4] = 'StopSuccess' + design_matrix.columns = design_columns + dm_path = os.path.join(workflow_out_dir, "designmatrix.csv") + design_matrix.to_csv(dm_path,index=None) + return dm_path +``` + +### Fit the first level model + +What we are doing here is: +1. use the design matrix to fit the first level model +2. compute the contrast +3. save the z_map and masker for futher use + +```{code-cell} ipython3 +@pydra.mark.task +@pydra.mark.annotate({"model": ty.Any,"imgs": ty.Any, + "dm_path": ty.Any,"contrast": str, + "return": {"model": ty.Any, "z_map_path":str, "masker":ty.Any}}) +def model_fit( + model, + imgs, + dm_path, + contrast +): + import pandas as pd + design_matrix = pd.read_csv(dm_path) + model.fit(imgs, design_matrices = [design_matrix]) + z_map = model.compute_contrast(contrast) + z_map_path = os.path.join(workflow_out_dir, "firstlevel_z_map.nii.gz") + z_map.to_filename(z_map_path) + masker_path = os.path.join(workflow_out_dir, "firstlevel_masker.nii.gz") + masker = model.masker_ + return model, z_map_path, masker +``` + +### Get cluster table and glm report + +For publication purposes, we obtain a cluster table and a summary report. + +```{code-cell} ipython3 +@pydra.mark.task +@pydra.mark.annotate({"z_map_path":str, + "return":{"output_file":str}}) +def cluster_table(z_map_path): + import nibabel as nib + from nilearn.reporting import get_clusters_table + from scipy.stats import norm + + stat_img = nib.load(z_map_path) + output_file = os.path.join(workflow_out_dir, "cluster_table.csv") + df = get_clusters_table(stat_img, + stat_threshold = norm.isf(0.001), + cluster_threshold=10) + df.to_csv(output_file, index=None) + return output_file + +# get glm report +@pydra.mark.task +@pydra.mark.annotate({"model":ty.Any, "contrasts":str, + "return":{"output_file":str}}) +def glm_report( + model, + contrasts +): + from nilearn.reporting import make_glm_report + output_file = os.path.join(workflow_out_dir, "glm_report.html") + report = make_glm_report(model, contrasts) + report.save_as_html(output_file) + return output_file +``` + +### Make plots + +Here we want to make some plots to display our results and compare the result from FSL. +1. plot nilearn z-map +2. plot fsl z-map +3. plot nilearn and fsl comparison +4. plot design matrix contrast + +You can also seperate this task into multiple sub-tasks. But it makes more sense to put them into one task as they use the same files and function `nilearn.plotting` repeatedly. + +```{code-cell} ipython3 +@pydra.mark.task +@pydra.mark.annotate({"data_dir":str, "dm_path":str, "z_map_path":str, + "contrast":str,"subject":str, "masker":ty.Any, + "return":{"output_file1":str, "output_file2":str, + "output_file3":str, "output_file4":str}}) +def plots( + data_dir, + dm_path, + z_map_path, + contrast, + subject, + masker, +): + import pandas as pd + import nibabel as nib + from nilearn.plotting import plot_glass_brain, plot_img_comparison, plot_contrast_matrix + import matplotlib.pyplot as plt + from scipy.stats import norm + + # plot and save nilearn z-map + z_map = nib.load(z_map_path) + output_file1 = os.path.join(workflow_out_dir, "nilearn_z_map.jpg") + plot_glass_brain(z_map, output_file = output_file1, colorbar = True, + threshold = norm.isf(0.001), title = 'Nilearn Z map of "StopSuccess - Go" (unc p<0.001)', + plot_abs = False, display_mode = 'ortho') + + # plot and save fsl z-map + fsl_z_map = nib.load( + os.path.join(data_dir, 'derivatives', 'task', subject, 'stopsignal.feat', + 'stats', 'zstat12.nii.gz')) + output_file2 = os.path.join(workflow_out_dir, "fsl_z_map.jpg") + plot_glass_brain(fsl_z_map, output_file = output_file2, colorbar = True, + threshold = norm.isf(0.001), title = 'FSL Z map of "StopSuccess - Go" (unc p<0.001)', + plot_abs = False, display_mode = 'ortho') + + # plot and save nilearn and fsl comparison + plot_img_comparison([z_map], [fsl_z_map], masker, output_dir = workflow_out_dir, + ref_label = 'Nilearn', src_label = 'FSL') + old = os.path.join(workflow_out_dir, "0000.png") + new = os.path.join(workflow_out_dir, "nilearn_fsl_comp.jpg") + output_file3 = os.rename(old,new) + + # plot and save design matrix contrast + design_matrix = pd.read_csv(dm_path) + output_file4 = os.path.join(workflow_out_dir, "firstlevel_contrast.jpg") + plot_contrast_matrix(contrast, design_matrix, output_file = output_file4) + return output_file1, output_file2, output_file3, output_file4 +``` + ++++ {"tags": []} + +## Make a workflow from tasks + +Now we have created all tasks we need for this first level analysis, and there are two choices for our next step. +1. create one workflow to connect all tasks together +2. create sub-workflows with some closely related tasks, and connect these workflows along with other tasks into a larger workflow. + +We recommand the second approach as it is alway a good practice to group tasks, especially when there are a large number of tasks in the analysis. + +Our analysis can be divided into three parts: (1) get/read the data, (2) analyze the data, and (3) plot the result, where (1) and (3) only have one task each. So we can put all tasks in (2) into one workflow and name it as `firstlevel` or whatever you prefer. + +```{code-cell} ipython3 +# initiate a workflow +wf_firstlevel = Workflow(name="wf_firstlevel", input_spec=["data_dir", + "task_label", + "space_label", + "derivatives_folder", + "smoothing_fwhm", + "contrast", + "output_dir"] + ) + +# specify input +wf_firstlevel.inputs.task_label = 'stopsignal' +wf_firstlevel.inputs.space_label = 'MNI152NLin2009cAsym' +wf_firstlevel.inputs.derivatives_folder = 'derivatives/fmriprep' +wf_firstlevel.inputs.smoothing_fwhm = 5.0 + +# add task - get_info_from_bids +wf_firstlevel.add(get_info_from_bids(name="get_info_from_bids", + data_dir = wf_firstlevel.lzin.data_dir, + task_label = wf_firstlevel.lzin.task_label, + space_label = wf_firstlevel.lzin.space_label, + derivatives_folder = wf_firstlevel.lzin.derivatives_folder, + smoothing_fwhm = wf_firstlevel.lzin.smoothing_fwhm + ) + ) +# add task - get_designmatrix +wf_firstlevel.add(get_designmatrix(name = "get_designmatrix", + data_dir = wf_firstlevel.lzin.data_dir, + subject = wf_firstlevel.get_info_from_bids.lzout.subject, + ) + ) +wf_firstlevel.add(model_fit(name = "l1estimation", + model = wf_firstlevel.get_info_from_bids.lzout.model, + imgs = wf_firstlevel.get_info_from_bids.lzout.imgs, + dm_path = wf_firstlevel.get_designmatrix.lzout.dm_path, + contrast = wf_firstlevel.lzin.contrast + ) + ) +# add task - cluster_table +wf_firstlevel.add(cluster_table(name = "cluster_table", + z_map_path = wf_firstlevel.l1estimation.lzout.z_map_path)) +# add task - glm_report +wf_firstlevel.add(glm_report(name = "glm_report", + model = wf_firstlevel.l1estimation.lzout.model, + contrasts = wf_firstlevel.lzin.contrast + ) + ) +# specify output +wf_firstlevel.set_output([ + ("z_map", wf_firstlevel.l1estimation.lzout.z_map_path), + ("masker", wf_firstlevel.l1estimation.lzout.masker), + ("subject", wf_firstlevel.get_info_from_bids.lzout.subject), + ("dm_path", wf_firstlevel.get_designmatrix.lzout.dm_path), + ("cluster_table", wf_firstlevel.cluster_table.lzout.output_file), + ("glm_report", wf_firstlevel.glm_report.lzout.output_file) +]) +``` + ++++ {"tags": []} + +## The overaching workflow + +Connect other tasks and the above workflow into one + +Now we need to create the overaching glm workflow that connects the above workflow and other tasks (e.g., `get/read the data` and `plot the result`) + +```{code-cell} ipython3 +wf = Workflow(name = "firstlevel_glm", + input_spec = ["exclusion_patterns","n_subjects","contrast","output_dir"], + ) + +wf.inputs.exclusion_patterns = ['*group*', '*phenotype*', '*mriqc*', + '*parameter_plots*', '*physio_plots*', + '*space-fsaverage*', '*space-T1w*', + '*dwi*', '*beh*', '*task-bart*', + '*task-rest*', '*task-scap*', '*task-task*'] +wf.inputs.n_subjects = 1 +wf.inputs.output_dir = workflow_out_dir +wf.inputs.contrast = 'StopSuccess - Go' + +wf.add(get_openneuro_dataset(name = "get_openneuro_dataset", + exclusion_patterns = wf.lzin.exclusion_patterns, + n_subjects = wf.lzin.n_subjects + ) + ) + +wf_firstlevel.inputs.data_dir = wf.get_openneuro_dataset.lzout.data_dir +wf_firstlevel.inputs.contrast = wf.inputs.contrast +wf_firstlevel.inputs.output_dir = wf.inputs.output_dir +wf.add(wf_firstlevel) + +wf.add(plots(name = "plots", + data_dir = wf.get_openneuro_dataset.lzout.data_dir, + dm_path = wf_firstlevel.lzout.dm_path, + z_map_path = wf_firstlevel.lzout.z_map, + contrast = wf.lzin.contrast, + subject = wf_firstlevel.lzout.subject, + masker = wf_firstlevel.lzout.masker + ) + ) + +wf.set_output([ + ("output1", wf.plots.lzout.output_file1), + ("output2", wf.plots.lzout.output_file2), + ("output3", wf.plots.lzout.output_file3), + ("output4", wf.plots.lzout.output_file4) +]) +``` + +## Run Workflow Run + +```{code-cell} ipython3 +:tags: [] + +from pydra import Submitter + +with Submitter(plugin="cf", n_procs=4) as submitter: + submitter(wf) + +results = wf.result() + +print(results) +``` + ++++ {"tags": []} + +## Visualization + ++++ + +If you arrive here without any errors, yay, you just made your first pydra workflow for a first-level GLM! + ++++ + +## Examine folder structure + +Let's take a look at what you have got. + +```{code-cell} ipython3 +:tags: [hide-output] + +!ls ../outputs/6_glm +``` + +### Plot figures + ++++ + +#### First level contrast + +```{code-cell} ipython3 +:tags: [hide-input] +from IPython.display import Image +Image(filename='../outputs/6_glm/firstlevel_contrast.jpg') +``` + +#### Nilearn Z map + +```{code-cell} ipython3 +:tags: [hide-input] +Image(filename='../outputs/6_glm/nilearn_z_map.jpg') +``` + +#### FSL Z map + +```{code-cell} ipython3 +:tags: [hide-input] +Image(filename='../outputs/6_glm/fsl_z_map.jpg') +``` + +#### Nilearn FSL comparison + +```{code-cell} ipython3 +:tags: [hide-input] +Image(filename='../outputs/6_glm/nilearn_fsl_comp.jpg') +``` + ++++ {"tags": []} + +## Exercise + ++++ + +What if we need to run the first-level GLM on multiple subject? We will need the `splitter`. + +So, where should we add `.split`? diff --git a/jupyterbook/_build/html/_sources/welcome.md b/jupyterbook/_build/html/_sources/welcome.md new file mode 100644 index 0000000..0708a81 --- /dev/null +++ b/jupyterbook/_build/html/_sources/welcome.md @@ -0,0 +1,15 @@ +# Welcome + +This book will walk you through the main concepts of Pydra and provide hands-on experience! + +It covers six topics: Pydra philosophy, FunctionTask, task states, Workflow, ShellCommandTask, and the first level analysis of BIDS data. + +You can go through each topic by following this book, then play with it using [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/nipype/pydra-tutorial/master) or locally. + +If you are running locally, be sure to install the necessary [requirements.](https://github.com/nipype/pydra-tutorial/blob/master/requirements.txt) + + +Check out each tutorial to see more. + +```{tableofcontents} +``` diff --git 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:last-child, +div.admonition > :last-child { + margin-bottom: 0; +} + +div.sidebar::after, +aside.sidebar::after, +div.topic::after, +div.admonition::after, +blockquote::after { + display: block; + content: ''; + clear: both; +} + +/* -- tables ---------------------------------------------------------------- */ + +table.docutils { + margin-top: 10px; + margin-bottom: 10px; + border: 0; + border-collapse: collapse; +} + +table.align-center { + margin-left: auto; + margin-right: auto; +} + +table.align-default { + margin-left: auto; + margin-right: auto; +} + +table caption span.caption-number { + font-style: italic; +} + +table caption span.caption-text { +} + +table.docutils td, table.docutils th { + padding: 1px 8px 1px 5px; + border-top: 0; + border-left: 0; + border-right: 0; + border-bottom: 1px solid #aaa; +} + +table.footnote td, table.footnote th { + border: 0 !important; +} + +th { + text-align: left; + padding-right: 5px; +} + +table.citation { + border-left: solid 1px gray; + 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---------------------------------------------------------- */ + +table.hlist { + margin: 1em 0; +} + +table.hlist td { + vertical-align: top; +} + +/* -- object description styles --------------------------------------------- */ + +.sig { + font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace; +} + +.sig-name, code.descname { + background-color: transparent; + font-weight: bold; +} + +.sig-name { + font-size: 1.1em; +} + +code.descname { + font-size: 1.2em; +} + +.sig-prename, code.descclassname { + background-color: transparent; +} + +.optional { + font-size: 1.3em; +} + +.sig-paren { + font-size: larger; +} + +.sig-param.n { + font-style: italic; +} + +/* C++ specific styling */ + +.sig-inline.c-texpr, +.sig-inline.cpp-texpr { + font-family: unset; +} + +.sig.c .k, .sig.c .kt, +.sig.cpp .k, .sig.cpp .kt { + color: #0033B3; +} + +.sig.c .m, +.sig.cpp .m { + color: #1750EB; +} + +.sig.c .s, .sig.c .sc, +.sig.cpp .s, .sig.cpp .sc { + color: #067D17; +} + + +/* -- other body styles ----------------------------------------------------- */ + +ol.arabic { + list-style: decimal; +} + +ol.loweralpha { + list-style: lower-alpha; +} + +ol.upperalpha { + list-style: upper-alpha; +} + +ol.lowerroman { + list-style: lower-roman; +} + +ol.upperroman { + list-style: upper-roman; +} + +:not(li) > ol > li:first-child > :first-child, +:not(li) > ul > li:first-child > :first-child { + margin-top: 0px; +} + +:not(li) > ol > li:last-child > :last-child, +:not(li) > ul > li:last-child > :last-child { + margin-bottom: 0px; +} + +ol.simple ol p, +ol.simple ul p, +ul.simple ol p, +ul.simple ul p { + margin-top: 0; +} + +ol.simple > li:not(:first-child) > p, +ul.simple > li:not(:first-child) > p { + margin-top: 0; +} + +ol.simple p, +ul.simple p { + margin-bottom: 0; +} + +dl.footnote > dt, +dl.citation > dt { + float: left; + margin-right: 0.5em; +} + +dl.footnote > dd, +dl.citation > dd { + margin-bottom: 0em; +} + +dl.footnote > dd:after, +dl.citation > dd:after { + content: ""; + clear: both; +} + +dl.field-list { + display: grid; + grid-template-columns: fit-content(30%) auto; +} + +dl.field-list > dt { + font-weight: bold; + word-break: break-word; + padding-left: 0.5em; + padding-right: 5px; +} + +dl.field-list > dt:after { + content: ":"; +} + +dl.field-list > dd { + padding-left: 0.5em; + margin-top: 0em; + margin-left: 0em; + margin-bottom: 0em; +} + +dl { + margin-bottom: 15px; +} + +dd > :first-child { + margin-top: 0px; +} + +dd ul, dd table { + margin-bottom: 10px; +} + +dd { + margin-top: 3px; + margin-bottom: 10px; + margin-left: 30px; +} + +dl > dd:last-child, +dl > dd:last-child > :last-child { + margin-bottom: 0; +} + +dt:target, span.highlighted { + background-color: #fbe54e; +} + +rect.highlighted { + fill: #fbe54e; +} + +dl.glossary dt { + font-weight: bold; + font-size: 1.1em; +} + +.versionmodified { + font-style: italic; +} + +.system-message { + background-color: #fda; + padding: 5px; + border: 3px solid red; +} + +.footnote:target { + background-color: #ffa; +} + +.line-block { + display: block; + margin-top: 1em; + margin-bottom: 1em; +} + +.line-block .line-block { + margin-top: 0; + margin-bottom: 0; + margin-left: 1.5em; +} + +.guilabel, .menuselection { + font-family: sans-serif; +} + +.accelerator { + text-decoration: underline; +} + +.classifier { + font-style: oblique; +} + +.classifier:before { + font-style: normal; + margin: 0 0.5em; + content: ":"; + display: inline-block; +} + +abbr, acronym { + border-bottom: dotted 1px; + cursor: help; +} + +/* -- code displays --------------------------------------------------------- */ + +pre { + overflow: auto; + overflow-y: hidden; /* fixes display issues on Chrome browsers */ +} + +pre, div[class*="highlight-"] { + clear: both; +} + +span.pre { + -moz-hyphens: none; + -ms-hyphens: none; + -webkit-hyphens: none; + hyphens: none; + white-space: nowrap; +} + +div[class*="highlight-"] { + margin: 1em 0; +} + +td.linenos pre { + border: 0; + background-color: transparent; + color: #aaa; +} + +table.highlighttable { + display: block; +} + +table.highlighttable tbody { + display: block; +} + +table.highlighttable tr { + display: flex; +} + +table.highlighttable td { + margin: 0; + padding: 0; +} + +table.highlighttable td.linenos { + padding-right: 0.5em; +} + +table.highlighttable td.code { + flex: 1; + overflow: hidden; +} + +.highlight .hll { + display: block; +} + +div.highlight pre, +table.highlighttable pre { + margin: 0; +} + +div.code-block-caption + div { + margin-top: 0; +} + +div.code-block-caption { + margin-top: 1em; + padding: 2px 5px; + font-size: small; +} + +div.code-block-caption code { + background-color: transparent; +} + +table.highlighttable td.linenos, +span.linenos, +div.highlight span.gp { /* gp: Generic.Prompt */ + user-select: none; + -webkit-user-select: text; /* Safari fallback only */ + -webkit-user-select: none; /* Chrome/Safari */ + -moz-user-select: none; /* Firefox */ + -ms-user-select: none; /* IE10+ */ +} + +div.code-block-caption span.caption-number { + padding: 0.1em 0.3em; + font-style: italic; +} + +div.code-block-caption span.caption-text { +} + +div.literal-block-wrapper { + margin: 1em 0; +} + +code.xref, a code { + background-color: transparent; + font-weight: bold; +} + +h1 code, h2 code, h3 code, h4 code, h5 code, h6 code { + background-color: transparent; +} + +.viewcode-link { + float: right; +} + +.viewcode-back { + float: right; + font-family: sans-serif; +} + +div.viewcode-block:target { + margin: -1px -10px; + padding: 0 10px; +} + +/* -- math display ---------------------------------------------------------- */ + +img.math { + vertical-align: middle; +} + +div.body div.math p { + text-align: center; +} + +span.eqno { + float: right; +} + +span.eqno a.headerlink { + position: absolute; + z-index: 1; +} + +div.math:hover a.headerlink { + visibility: visible; +} + +/* -- printout stylesheet --------------------------------------------------- */ + +@media print { + div.document, + div.documentwrapper, + div.bodywrapper { + margin: 0 !important; + width: 100%; + } + + div.sphinxsidebar, + div.related, + div.footer, + #top-link { + display: none; + } +} \ No newline at end of file diff --git a/jupyterbook/_build/html/_static/check-solid.svg b/jupyterbook/_build/html/_static/check-solid.svg new file mode 100644 index 0000000..92fad4b --- /dev/null +++ b/jupyterbook/_build/html/_static/check-solid.svg @@ -0,0 +1,4 @@ + + + + diff --git a/jupyterbook/_build/html/_static/clipboard.min.js b/jupyterbook/_build/html/_static/clipboard.min.js new file mode 100644 index 0000000..54b3c46 --- /dev/null +++ b/jupyterbook/_build/html/_static/clipboard.min.js @@ -0,0 +1,7 @@ +/*! + * clipboard.js v2.0.8 + * https://clipboardjs.com/ + * + * Licensed MIT © Zeno Rocha + */ +!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return o}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),c=n.n(e);function a(t){try{return document.execCommand(t)}catch(t){return}}var f=function(t){t=c()(t);return a("cut"),t};var l=function(t){var e,n,o,r=1 + + + + diff --git a/jupyterbook/_build/html/_static/copybutton.css b/jupyterbook/_build/html/_static/copybutton.css new file mode 100644 index 0000000..40eafe5 --- /dev/null +++ b/jupyterbook/_build/html/_static/copybutton.css @@ -0,0 +1,93 @@ +/* Copy buttons */ +button.copybtn { + position: absolute; + display: flex; + top: .3em; + right: .3em; + width: 1.7em; + height: 1.7em; + opacity: 0; + transition: opacity 0.3s, border .3s, background-color .3s; + user-select: none; + padding: 0; + border: none; + outline: none; + border-radius: 0.4em; + /* The colors that GitHub uses */ + border: #1b1f2426 1px solid; + background-color: #f6f8fa; + color: #57606a; +} + +button.copybtn.success { + border-color: #22863a; + color: #22863a; +} + +button.copybtn svg { + stroke: currentColor; + width: 1.5em; + height: 1.5em; + padding: 0.1em; +} + +div.highlight { + position: relative; +} + +.highlight:hover button.copybtn { + opacity: 1; +} + +.highlight button.copybtn:hover { + background-color: rgb(235, 235, 235); +} + +.highlight button.copybtn:active { + background-color: rgb(187, 187, 187); +} + +/** + * A minimal CSS-only tooltip copied from: + * https://codepen.io/mildrenben/pen/rVBrpK + * + * To use, write HTML like the following: + * + *

Short

+ */ + .o-tooltip--left { + position: relative; + } + + .o-tooltip--left:after { + opacity: 0; + visibility: hidden; + position: absolute; + content: attr(data-tooltip); + padding: .2em; + font-size: .8em; + left: -.2em; + background: grey; + color: white; + white-space: nowrap; + z-index: 2; + border-radius: 2px; + transform: translateX(-102%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); +} + +.o-tooltip--left:hover:after { + display: block; + opacity: 1; + visibility: visible; + transform: translateX(-100%) translateY(0); + transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1); + transition-delay: .5s; +} + +/* By default the copy button shouldn't show up when printing a page */ +@media print { + button.copybtn { + display: none; + } +} diff --git a/jupyterbook/_build/html/_static/copybutton.js b/jupyterbook/_build/html/_static/copybutton.js new file mode 100644 index 0000000..40ac331 --- /dev/null +++ b/jupyterbook/_build/html/_static/copybutton.js @@ -0,0 +1,220 @@ +// Localization support +const messages = { + 'en': { + 'copy': 'Copy', + 'copy_to_clipboard': 'Copy to clipboard', + 'copy_success': 'Copied!', + 'copy_failure': 'Failed to copy', + }, + 'es' : { + 'copy': 'Copiar', + 'copy_to_clipboard': 'Copiar al portapapeles', + 'copy_success': '¡Copiado!', + 'copy_failure': 'Error al copiar', + }, + 'de' : { + 'copy': 'Kopieren', + 'copy_to_clipboard': 'In die Zwischenablage kopieren', + 'copy_success': 'Kopiert!', + 'copy_failure': 'Fehler beim Kopieren', + }, + 'fr' : { + 'copy': 'Copier', + 'copy_to_clipboard': 'Copié dans le presse-papier', + 'copy_success': 'Copié !', + 'copy_failure': 'Échec de la copie', + }, + 'ru': { + 'copy': 'Скопировать', + 'copy_to_clipboard': 'Скопировать в буфер', + 'copy_success': 'Скопировано!', + 'copy_failure': 'Не удалось скопировать', + }, + 'zh-CN': { + 'copy': '复制', + 'copy_to_clipboard': '复制到剪贴板', + 'copy_success': '复制成功!', + 'copy_failure': '复制失败', + }, + 'it' : { + 'copy': 'Copiare', + 'copy_to_clipboard': 'Copiato negli appunti', + 'copy_success': 'Copiato!', + 'copy_failure': 'Errore durante la copia', + } +} + +let locale = 'en' +if( document.documentElement.lang !== undefined + && messages[document.documentElement.lang] !== undefined ) { + locale = document.documentElement.lang +} + +let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT; +if (doc_url_root == '#') { + doc_url_root = ''; +} + +/** + * SVG files for our copy buttons + */ +let iconCheck = ` + ${messages[locale]['copy_success']} + + +` + +// If the user specified their own SVG use that, otherwise use the default +let iconCopy = ``; +if (!iconCopy) { + iconCopy = ` + ${messages[locale]['copy_to_clipboard']} + + + +` +} + +/** + * Set up copy/paste for code blocks + */ + +const runWhenDOMLoaded = cb => { + if (document.readyState != 'loading') { + cb() + } else if (document.addEventListener) { + document.addEventListener('DOMContentLoaded', cb) + } else { + document.attachEvent('onreadystatechange', function() { + if (document.readyState == 'complete') cb() + }) + } +} + +const codeCellId = index => `codecell${index}` + +// Clears selected text since ClipboardJS will select the text when copying +const clearSelection = () => { + if (window.getSelection) { + window.getSelection().removeAllRanges() + } else if (document.selection) { + document.selection.empty() + } +} + +// Changes tooltip text for two seconds, then changes it back +const temporarilyChangeTooltip = (el, oldText, newText) => { + el.setAttribute('data-tooltip', newText) + el.classList.add('success') + setTimeout(() => el.setAttribute('data-tooltip', oldText), 2000) + setTimeout(() => el.classList.remove('success'), 2000) +} + +// Changes the copy button icon for two seconds, then changes it back +const temporarilyChangeIcon = (el) => { + el.innerHTML = iconCheck; + setTimeout(() => {el.innerHTML = iconCopy}, 2000) +} + +const addCopyButtonToCodeCells = () => { + // If ClipboardJS hasn't loaded, wait a bit and try again. This + // happens because we load ClipboardJS asynchronously. + if (window.ClipboardJS === undefined) { + setTimeout(addCopyButtonToCodeCells, 250) + return + } + + // Add copybuttons to all of our code cells + const codeCells = document.querySelectorAll('div.highlight pre') + codeCells.forEach((codeCell, index) => { + const id = codeCellId(index) + codeCell.setAttribute('id', id) + + const clipboardButton = id => + `` + codeCell.insertAdjacentHTML('afterend', clipboardButton(id)) + }) + +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} + + +var copyTargetText = (trigger) => { + var target = document.querySelector(trigger.attributes['data-clipboard-target'].value); + return formatCopyText(target.innerText, '', false, true, true, true, '', '') +} + + // Initialize with a callback so we can modify the text before copy + const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText}) + + // Update UI with error/success messages + clipboard.on('success', event => { + clearSelection() + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success']) + temporarilyChangeIcon(event.trigger) + }) + + clipboard.on('error', event => { + temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure']) + }) +} + +runWhenDOMLoaded(addCopyButtonToCodeCells) \ No newline at end of file diff --git a/jupyterbook/_build/html/_static/copybutton_funcs.js b/jupyterbook/_build/html/_static/copybutton_funcs.js new file mode 100644 index 0000000..b9168c5 --- /dev/null +++ b/jupyterbook/_build/html/_static/copybutton_funcs.js @@ -0,0 +1,58 @@ +function escapeRegExp(string) { + return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string +} + +// Callback when a copy button is clicked. Will be passed the node that was clicked +// should then grab the text and replace pieces of text that shouldn't be used in output +export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") { + + var regexp; + var match; + + // Do we check for line continuation characters and "HERE-documents"? + var useLineCont = !!lineContinuationChar + var useHereDoc = !!hereDocDelim + + // create regexp to capture prompt and remaining line + if (isRegexp) { + regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)') + } else { + regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)') + } + + const outputLines = []; + var promptFound = false; + var gotLineCont = false; + var gotHereDoc = false; + const lineGotPrompt = []; + for (const line of textContent.split('\n')) { + match = line.match(regexp) + if (match || gotLineCont || gotHereDoc) { + promptFound = regexp.test(line) + lineGotPrompt.push(promptFound) + if (removePrompts && promptFound) { + outputLines.push(match[2]) + } else { + outputLines.push(line) + } + gotLineCont = line.endsWith(lineContinuationChar) & useLineCont + if (line.includes(hereDocDelim) & useHereDoc) + gotHereDoc = !gotHereDoc + } else if (!onlyCopyPromptLines) { + outputLines.push(line) + } else if (copyEmptyLines && line.trim() === '') { + outputLines.push(line) + } + } + + // If no lines with the prompt were found then just use original lines + if (lineGotPrompt.some(v => v === true)) { + textContent = outputLines.join('\n'); + } + + // Remove a trailing newline to avoid auto-running when pasting + if (textContent.endsWith("\n")) { + textContent = textContent.slice(0, -1) + } + return textContent +} diff --git a/jupyterbook/_build/html/_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css b/jupyterbook/_build/html/_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css new file mode 100644 index 0000000..704c42e --- /dev/null +++ b/jupyterbook/_build/html/_static/design-style.b7bb847fb20b106c3d81b95245e65545.min.css @@ -0,0 +1 @@ +.sd-bg-primary{background-color:var(--sd-color-primary) !important}.sd-bg-text-primary{color:var(--sd-color-primary-text) !important}button.sd-bg-primary:focus,button.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}a.sd-bg-primary:focus,a.sd-bg-primary:hover{background-color:var(--sd-color-primary-highlight) !important}.sd-bg-secondary{background-color:var(--sd-color-secondary) !important}.sd-bg-text-secondary{color:var(--sd-color-secondary-text) !important}button.sd-bg-secondary:focus,button.sd-bg-secondary:hover{background-color:var(--sd-color-secondary-highlight) !important}a.sd-bg-secondary:focus,a.sd-bg-secondary:hover{background-color:var(--sd-color-secondary-highlight) !important}.sd-bg-success{background-color:var(--sd-color-success) 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label.previousElementSibling.checked = true; + } + window.localStorage.setItem("sphinx-design-last-tab", syncId); +} + +document.addEventListener("DOMContentLoaded", ready, false); diff --git a/jupyterbook/_build/html/_static/doctools.js b/jupyterbook/_build/html/_static/doctools.js new file mode 100644 index 0000000..e1bfd70 --- /dev/null +++ b/jupyterbook/_build/html/_static/doctools.js @@ -0,0 +1,358 @@ +/* + * doctools.js + * ~~~~~~~~~~~ + * + * Sphinx JavaScript utilities for all documentation. + * + * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/** + * select a different prefix for underscore + */ +$u = _.noConflict(); + +/** + * make the code below compatible with browsers without + * an installed firebug like debugger +if (!window.console || !console.firebug) { + var names = ["log", "debug", "info", "warn", "error", "assert", "dir", + "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace", + "profile", "profileEnd"]; + window.console = {}; + for (var i = 0; i < names.length; ++i) + window.console[names[i]] = function() {}; +} + */ + +/** + * small helper function to urldecode strings + * + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL + */ +jQuery.urldecode = function(x) { + if (!x) { + return x + } + return decodeURIComponent(x.replace(/\+/g, ' ')); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. Multiple values per key are supported, + * it will always return arrays of strings for the value parts. + */ +jQuery.getQueryParameters = function(s) { + if (typeof s === 'undefined') + s = document.location.search; + var parts = s.substr(s.indexOf('?') + 1).split('&'); + var result = {}; + for (var i = 0; i < parts.length; i++) { + var tmp = parts[i].split('=', 2); + var key = jQuery.urldecode(tmp[0]); + var value = jQuery.urldecode(tmp[1]); + if (key in result) + result[key].push(value); + else + result[key] = [value]; + } + return result; +}; + +/** + * highlight a given string on a jquery object by wrapping it in + * span elements with the given class name. + */ +jQuery.fn.highlightText = function(text, className) { + function highlight(node, addItems) { + if (node.nodeType === 3) { + var val = node.nodeValue; + var pos = val.toLowerCase().indexOf(text); + if (pos >= 0 && + !jQuery(node.parentNode).hasClass(className) && + !jQuery(node.parentNode).hasClass("nohighlight")) { + var span; + var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.className = className; + } + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + node.parentNode.insertBefore(span, node.parentNode.insertBefore( + document.createTextNode(val.substr(pos + text.length)), + node.nextSibling)); + node.nodeValue = val.substr(0, pos); + if (isInSVG) { + var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect"); + var bbox = node.parentElement.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute('class', className); + addItems.push({ + "parent": node.parentNode, + "target": rect}); + } + } + } + else if (!jQuery(node).is("button, select, textarea")) { + jQuery.each(node.childNodes, function() { + highlight(this, addItems); + }); + } + } + var addItems = []; + var result = this.each(function() { + highlight(this, addItems); + }); + for (var i = 0; i < addItems.length; ++i) { + jQuery(addItems[i].parent).before(addItems[i].target); + } + return result; +}; + +/* + * backward compatibility for jQuery.browser + * This will be supported until firefox bug is fixed. + */ +if (!jQuery.browser) { + jQuery.uaMatch = function(ua) { + ua = ua.toLowerCase(); + + var match = /(chrome)[ \/]([\w.]+)/.exec(ua) || + /(webkit)[ \/]([\w.]+)/.exec(ua) || + /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) || + /(msie) ([\w.]+)/.exec(ua) || + ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) || + []; + + return { + browser: match[ 1 ] || "", + version: match[ 2 ] || "0" + }; + }; + jQuery.browser = {}; + jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true; +} + +/** + * Small JavaScript module for the documentation. + */ +var Documentation = { + + init : function() { + this.fixFirefoxAnchorBug(); + this.highlightSearchWords(); + this.initIndexTable(); + this.initOnKeyListeners(); + }, + + /** + * i18n support + */ + TRANSLATIONS : {}, + PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; }, + LOCALE : 'unknown', + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext : function(string) { + var translated = Documentation.TRANSLATIONS[string]; + if (typeof translated === 'undefined') + return string; + return (typeof translated === 'string') ? translated : translated[0]; + }, + + ngettext : function(singular, plural, n) { + var translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated === 'undefined') + return (n == 1) ? singular : plural; + return translated[Documentation.PLURALEXPR(n)]; + }, + + addTranslations : function(catalog) { + for (var key in catalog.messages) + this.TRANSLATIONS[key] = catalog.messages[key]; + this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')'); + this.LOCALE = catalog.locale; + }, + + /** + * add context elements like header anchor links + */ + addContextElements : function() { + $('div[id] > :header:first').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this headline')). + appendTo(this); + }); + $('dt[id]').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this definition')). + appendTo(this); + }); + }, + + /** + * workaround a firefox stupidity + * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075 + */ + fixFirefoxAnchorBug : function() { + if (document.location.hash && $.browser.mozilla) + window.setTimeout(function() { + document.location.href += ''; + }, 10); + }, + + /** + * highlight the search words provided in the url in the text + */ + highlightSearchWords : function() { + var params = $.getQueryParameters(); + var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : []; + if (terms.length) { + var body = $('div.body'); + if (!body.length) { + body = $('body'); + } + window.setTimeout(function() { + $.each(terms, function() { + body.highlightText(this.toLowerCase(), 'highlighted'); + }); + }, 10); + $('

' + _('Hide Search Matches') + '

') + .appendTo($('#searchbox')); + } + }, + + /** + * init the domain index toggle buttons + */ + initIndexTable : function() { + var togglers = $('img.toggler').click(function() { + var src = $(this).attr('src'); + var idnum = $(this).attr('id').substr(7); + $('tr.cg-' + idnum).toggle(); + if (src.substr(-9) === 'minus.png') + $(this).attr('src', src.substr(0, src.length-9) + 'plus.png'); + else + $(this).attr('src', src.substr(0, src.length-8) + 'minus.png'); + }).css('display', ''); + if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) { + togglers.click(); + } + }, + + /** + * helper function to hide the search marks again + */ + hideSearchWords : function() { + $('#searchbox .highlight-link').fadeOut(300); + $('span.highlighted').removeClass('highlighted'); + var url = new URL(window.location); + url.searchParams.delete('highlight'); + window.history.replaceState({}, '', url); + }, + + /** + * helper function to focus on search bar + */ + focusSearchBar : function() { + $('input[name=q]').first().focus(); + }, + + /** + * make the url absolute + */ + makeURL : function(relativeURL) { + return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL; + }, + + /** + * get the current relative url + */ + getCurrentURL : function() { + var path = document.location.pathname; + var parts = path.split(/\//); + $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() { + if (this === '..') + parts.pop(); + }); + var url = parts.join('/'); + return path.substring(url.lastIndexOf('/') + 1, path.length - 1); + }, + + initOnKeyListeners: function() { + // only install a listener if it is really needed + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS && + !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) + return; + + $(document).keydown(function(event) { + var activeElementType = document.activeElement.tagName; + // don't navigate when in search box, textarea, dropdown or button + if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && 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function( global, factory ) { + + "use strict"; + + if ( typeof module === "object" && typeof module.exports === "object" ) { + + // For CommonJS and CommonJS-like environments where a proper `window` + // is present, execute the factory and get jQuery. + // For environments that do not have a `window` with a `document` + // (such as Node.js), expose a factory as module.exports. + // This accentuates the need for the creation of a real `window`. + // e.g. var jQuery = require("jquery")(window); + // See ticket #14549 for more info. + module.exports = global.document ? + factory( global, true ) : + function( w ) { + if ( !w.document ) { + throw new Error( "jQuery requires a window with a document" ); + } + return factory( w ); + }; + } else { + factory( global ); + } + +// Pass this if window is not defined yet +} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) { + +// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1 +// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode +// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common +// enough that all such attempts are guarded in a try block. +"use strict"; + +var arr = []; + +var getProto = Object.getPrototypeOf; + +var slice = arr.slice; + +var flat = arr.flat ? function( array ) { + return arr.flat.call( array ); +} : function( array ) { + return arr.concat.apply( [], array ); +}; + + +var push = arr.push; + +var indexOf = arr.indexOf; + +var class2type = {}; + +var toString = class2type.toString; + +var hasOwn = class2type.hasOwnProperty; + +var fnToString = hasOwn.toString; + +var ObjectFunctionString = fnToString.call( Object ); + +var support = {}; + +var isFunction = function isFunction( obj ) { + + // Support: Chrome <=57, Firefox <=52 + // In some browsers, typeof returns "function" for HTML elements + // (i.e., `typeof document.createElement( "object" ) === "function"`). + // We don't want to classify *any* DOM node as a function. + return typeof obj === "function" && typeof obj.nodeType !== "number"; + }; + + +var isWindow = function isWindow( obj ) { + return obj != null && obj === obj.window; + }; + + +var document = window.document; + + + + var preservedScriptAttributes = { + type: true, + src: true, + nonce: true, + noModule: true + }; + + function DOMEval( code, node, doc ) { + doc = doc || document; + + var i, val, + script = doc.createElement( "script" ); + + script.text = code; + if ( node ) { + for ( i in preservedScriptAttributes ) { + + // Support: Firefox 64+, Edge 18+ + // Some browsers don't support the "nonce" property on scripts. + // On the other hand, just using `getAttribute` is not enough as + // the `nonce` attribute is reset to an empty string whenever it + // becomes browsing-context connected. + // See https://github.com/whatwg/html/issues/2369 + // See https://html.spec.whatwg.org/#nonce-attributes + // The `node.getAttribute` check was added for the sake of + // `jQuery.globalEval` so that it can fake a nonce-containing node + // via an object. + val = node[ i ] || node.getAttribute && node.getAttribute( i ); + if ( val ) { + script.setAttribute( i, val ); + } + } + } + doc.head.appendChild( script ).parentNode.removeChild( script ); + } + + +function toType( obj ) { + if ( obj == null ) { + return obj + ""; + } + + // Support: Android <=2.3 only (functionish RegExp) + return typeof obj === "object" || typeof obj === "function" ? + class2type[ toString.call( obj ) ] || "object" : + typeof obj; +} +/* global Symbol */ +// Defining this global in .eslintrc.json would create a danger of using the global +// unguarded in another place, it seems safer to define global only for this module + + + +var + version = "3.5.1", + + // Define a local copy of jQuery + jQuery = function( selector, context ) { + + // The jQuery object is actually just the init constructor 'enhanced' + // Need init if jQuery is called (just allow error to be thrown if not included) + return new jQuery.fn.init( selector, context ); + }; + +jQuery.fn = jQuery.prototype = { + + // The current version of jQuery being used + jquery: version, + + constructor: jQuery, + + // The default length of a jQuery object is 0 + length: 0, + + toArray: function() { + return slice.call( this ); + }, + + // Get the Nth element in the matched element set OR + // Get the whole matched element set as a clean array + get: function( num ) { + + // Return all the elements in a clean array + if ( num == null ) { + return slice.call( this ); + } + + // Return just the one element from the set + return num < 0 ? this[ num + this.length ] : this[ num ]; + }, + + // Take an array of elements and push it onto the stack + // (returning the new matched element set) + pushStack: function( elems ) { + + // Build a new jQuery matched element set + var ret = jQuery.merge( this.constructor(), elems ); + + // Add the old object onto the stack (as a reference) + ret.prevObject = this; + + // Return the newly-formed element set + return ret; + }, + + // Execute a callback for every element in the matched set. + each: function( callback ) { + return jQuery.each( this, callback ); + }, + + map: function( callback ) { + return this.pushStack( jQuery.map( this, function( elem, i ) { + return callback.call( elem, i, elem ); + } ) ); + }, + + slice: function() { + return this.pushStack( slice.apply( this, arguments ) ); + }, + + first: function() { + return this.eq( 0 ); + }, + + last: function() { + return this.eq( -1 ); + }, + + even: function() { + return this.pushStack( jQuery.grep( this, function( _elem, i ) { + return ( i + 1 ) % 2; + } ) ); + }, + + odd: function() { + return this.pushStack( jQuery.grep( this, function( _elem, i ) { + return i % 2; + } ) ); + }, + + eq: function( i ) { + var len = this.length, + j = +i + ( i < 0 ? len : 0 ); + return this.pushStack( j >= 0 && j < len ? [ this[ j ] ] : [] ); + }, + + end: function() { + return this.prevObject || this.constructor(); + }, + + // For internal use only. + // Behaves like an Array's method, not like a jQuery method. + push: push, + sort: arr.sort, + splice: arr.splice +}; + +jQuery.extend = jQuery.fn.extend = function() { + var options, name, src, copy, copyIsArray, clone, + target = arguments[ 0 ] || {}, + i = 1, + length = arguments.length, + deep = false; + + // Handle a deep copy situation + if ( typeof target === "boolean" ) { + deep = target; + + // Skip the boolean and the target + target = arguments[ i ] || {}; + i++; + } + + // Handle case when target is a string or something (possible in deep copy) + if ( typeof target !== "object" && !isFunction( target ) ) { + target = {}; + } + + // Extend jQuery itself if only one argument is passed + if ( i === length ) { + target = this; + i--; + } + + for ( ; i < length; i++ ) { + + // Only deal with non-null/undefined values + if ( ( options = arguments[ i ] ) != null ) { + + // Extend the base object + for ( name in options ) { + copy = options[ name ]; + + // Prevent Object.prototype pollution + // Prevent never-ending loop + if ( name === "__proto__" || target === copy ) { + continue; + } + + // Recurse if we're merging plain objects or arrays + if ( deep && copy && ( jQuery.isPlainObject( copy ) || + ( copyIsArray = Array.isArray( copy ) ) ) ) { + src = target[ name ]; + + // Ensure proper type for the source value + if ( copyIsArray && !Array.isArray( src ) ) { + clone = []; + } else if ( !copyIsArray && !jQuery.isPlainObject( src ) ) { + clone = {}; + } else { + clone = src; + } + copyIsArray = false; + + // Never move original objects, clone them + target[ name ] = jQuery.extend( deep, clone, copy ); + + // Don't bring in undefined values + } else if ( copy !== undefined ) { + target[ name ] = copy; + } + } + } + } + + // Return the modified object + return target; +}; + +jQuery.extend( { + + // Unique for each copy of jQuery on the page + expando: "jQuery" + ( version + Math.random() ).replace( /\D/g, "" ), + + // Assume jQuery is ready without the ready module + isReady: true, + + error: function( msg ) { + throw new Error( msg ); + }, + + noop: function() {}, + + isPlainObject: function( obj ) { + var proto, Ctor; + + // Detect obvious negatives + // Use toString instead of jQuery.type to catch host objects + if ( !obj || toString.call( obj ) !== "[object Object]" ) { + return false; + } + + proto = getProto( obj ); + + // Objects with no prototype (e.g., `Object.create( null )`) are plain + if ( !proto ) { + return true; + } + + // Objects with prototype are plain iff they were constructed by a global Object function + Ctor = hasOwn.call( proto, "constructor" ) && proto.constructor; + return typeof Ctor === "function" && fnToString.call( Ctor ) === ObjectFunctionString; + }, + + isEmptyObject: function( obj ) { + var name; + + for ( name in obj ) { + return false; + } + return true; + }, + + // Evaluates a script in a provided context; falls back to the global one + // if not specified. + globalEval: function( code, options, doc ) { + DOMEval( code, { nonce: options && options.nonce }, doc ); + }, + + each: function( obj, callback ) { + var length, i = 0; + + if ( isArrayLike( obj ) ) { + length = obj.length; + for ( ; i < length; i++ ) { + if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { + break; + } + } + } else { + for ( i in obj ) { + if ( callback.call( obj[ i ], i, obj[ i ] ) === false ) { + break; + } + } + } + + return obj; + }, + + // results is for internal usage only + makeArray: function( arr, results ) { + var ret = results || []; + + if ( arr != null ) { + if ( isArrayLike( Object( arr ) ) ) { + jQuery.merge( ret, + typeof arr === "string" ? + [ arr ] : arr + ); + } else { + push.call( ret, arr ); + } + } + + return ret; + }, + + inArray: function( elem, arr, i ) { + return arr == null ? -1 : indexOf.call( arr, elem, i ); + }, + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + merge: function( first, second ) { + var len = +second.length, + j = 0, + i = first.length; + + for ( ; j < len; j++ ) { + first[ i++ ] = second[ j ]; + } + + first.length = i; + + return first; + }, + + grep: function( elems, callback, invert ) { + var callbackInverse, + matches = [], + i = 0, + length = elems.length, + callbackExpect = !invert; + + // Go through the array, only saving the items + // that pass the validator function + for ( ; i < length; i++ ) { + callbackInverse = !callback( elems[ i ], i ); + if ( callbackInverse !== callbackExpect ) { + matches.push( elems[ i ] ); + } + } + + return matches; + }, + + // arg is for internal usage only + map: function( elems, callback, arg ) { + var length, value, + i = 0, + ret = []; + + // Go through the array, translating each of the items to their new values + if ( isArrayLike( elems ) ) { + length = elems.length; + for ( ; i < length; i++ ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret.push( value ); + } + } + + // Go through every key on the object, + } else { + for ( i in elems ) { + value = callback( elems[ i ], i, arg ); + + if ( value != null ) { + ret.push( value ); + } + } + } + + // Flatten any nested arrays + return flat( ret ); + }, + + // A global GUID counter for objects + guid: 1, + + // jQuery.support is not used in Core but other projects attach their + // properties to it so it needs to exist. + support: support +} ); + +if ( typeof Symbol === "function" ) { + jQuery.fn[ Symbol.iterator ] = arr[ Symbol.iterator ]; +} + +// Populate the class2type map +jQuery.each( "Boolean Number String Function Array Date RegExp Object Error Symbol".split( " " ), +function( _i, name ) { + class2type[ "[object " + name + "]" ] = name.toLowerCase(); +} ); + +function isArrayLike( obj ) { + + // Support: real iOS 8.2 only (not reproducible in simulator) + // `in` check used to prevent JIT error (gh-2145) + // hasOwn isn't used here due to false negatives + // regarding Nodelist length in IE + var length = !!obj && "length" in obj && obj.length, + type = toType( obj ); + + if ( isFunction( obj ) || isWindow( obj ) ) { + return false; + } + + return type === "array" || length === 0 || + typeof length === "number" && length > 0 && ( length - 1 ) in obj; +} +var Sizzle = +/*! + * Sizzle CSS Selector Engine v2.3.5 + * https://sizzlejs.com/ + * + * Copyright JS Foundation and other contributors + * Released under the MIT license + * https://js.foundation/ + * + * Date: 2020-03-14 + */ +( function( window ) { +var i, + support, + Expr, + getText, + isXML, + tokenize, + compile, + select, + outermostContext, + sortInput, + hasDuplicate, + + // Local document vars + setDocument, + document, + docElem, + documentIsHTML, + rbuggyQSA, + rbuggyMatches, + matches, + contains, + + // Instance-specific data + expando = "sizzle" + 1 * new Date(), + preferredDoc = window.document, + dirruns = 0, + done = 0, + classCache = createCache(), + tokenCache = createCache(), + compilerCache = createCache(), + nonnativeSelectorCache = createCache(), + sortOrder = function( a, b ) { + if ( a === b ) { + hasDuplicate = true; + } + return 0; + }, + + // Instance methods + hasOwn = ( {} ).hasOwnProperty, + arr = [], + pop = arr.pop, + pushNative = arr.push, + push = arr.push, + slice = arr.slice, + + // Use a stripped-down indexOf as it's faster than native + // https://jsperf.com/thor-indexof-vs-for/5 + indexOf = function( list, elem ) { + var i = 0, + len = list.length; + for ( ; i < len; i++ ) { + if ( list[ i ] === elem ) { + return i; + } + } + return -1; + }, + + booleans = "checked|selected|async|autofocus|autoplay|controls|defer|disabled|hidden|" + + "ismap|loop|multiple|open|readonly|required|scoped", + + // Regular expressions + + // http://www.w3.org/TR/css3-selectors/#whitespace + whitespace = "[\\x20\\t\\r\\n\\f]", + + // https://www.w3.org/TR/css-syntax-3/#ident-token-diagram + identifier = "(?:\\\\[\\da-fA-F]{1,6}" + whitespace + + "?|\\\\[^\\r\\n\\f]|[\\w-]|[^\0-\\x7f])+", + + // Attribute selectors: http://www.w3.org/TR/selectors/#attribute-selectors + attributes = "\\[" + whitespace + "*(" + identifier + ")(?:" + whitespace + + + // Operator (capture 2) + "*([*^$|!~]?=)" + whitespace + + + // "Attribute values must be CSS identifiers [capture 5] + // or strings [capture 3 or capture 4]" + "*(?:'((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\"|(" + identifier + "))|)" + + whitespace + "*\\]", + + pseudos = ":(" + identifier + ")(?:\\((" + + + // To reduce the number of selectors needing tokenize in the preFilter, prefer arguments: + // 1. quoted (capture 3; capture 4 or capture 5) + "('((?:\\\\.|[^\\\\'])*)'|\"((?:\\\\.|[^\\\\\"])*)\")|" + + + // 2. simple (capture 6) + "((?:\\\\.|[^\\\\()[\\]]|" + attributes + ")*)|" + + + // 3. anything else (capture 2) + ".*" + + ")\\)|)", + + // Leading and non-escaped trailing whitespace, capturing some non-whitespace characters preceding the latter + rwhitespace = new RegExp( whitespace + "+", "g" ), + rtrim = new RegExp( "^" + whitespace + "+|((?:^|[^\\\\])(?:\\\\.)*)" + + whitespace + "+$", "g" ), + + rcomma = new RegExp( "^" + whitespace + "*," + whitespace + "*" ), + rcombinators = new RegExp( "^" + whitespace + "*([>+~]|" + whitespace + ")" + whitespace + + "*" ), + rdescend = new RegExp( whitespace + "|>" ), + + rpseudo = new RegExp( pseudos ), + ridentifier = new RegExp( "^" + identifier + "$" ), + + matchExpr = { + "ID": new RegExp( "^#(" + identifier + ")" ), + "CLASS": new RegExp( "^\\.(" + identifier + ")" ), + "TAG": new RegExp( "^(" + identifier + "|[*])" ), + "ATTR": new RegExp( "^" + attributes ), + "PSEUDO": new RegExp( "^" + pseudos ), + "CHILD": new RegExp( "^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\(" + + whitespace + "*(even|odd|(([+-]|)(\\d*)n|)" + whitespace + "*(?:([+-]|)" + + whitespace + "*(\\d+)|))" + whitespace + "*\\)|)", "i" ), + "bool": new RegExp( "^(?:" + booleans + ")$", "i" ), + + // For use in libraries implementing .is() + // We use this for POS matching in `select` + "needsContext": new RegExp( "^" + whitespace + + "*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\(" + whitespace + + "*((?:-\\d)?\\d*)" + whitespace + "*\\)|)(?=[^-]|$)", "i" ) + }, + + rhtml = /HTML$/i, + rinputs = /^(?:input|select|textarea|button)$/i, + rheader = /^h\d$/i, + + rnative = /^[^{]+\{\s*\[native \w/, + + // Easily-parseable/retrievable ID or TAG or CLASS selectors + rquickExpr = /^(?:#([\w-]+)|(\w+)|\.([\w-]+))$/, + + rsibling = /[+~]/, + + // CSS escapes + // http://www.w3.org/TR/CSS21/syndata.html#escaped-characters + runescape = new RegExp( "\\\\[\\da-fA-F]{1,6}" + whitespace + "?|\\\\([^\\r\\n\\f])", "g" ), + funescape = function( escape, nonHex ) { + var high = "0x" + escape.slice( 1 ) - 0x10000; + + return nonHex ? + + // Strip the backslash prefix from a non-hex escape sequence + nonHex : + + // Replace a hexadecimal escape sequence with the encoded Unicode code point + // Support: IE <=11+ + // For values outside the Basic Multilingual Plane (BMP), manually construct a + // surrogate pair + high < 0 ? + String.fromCharCode( high + 0x10000 ) : + String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); + }, + + // CSS string/identifier serialization + // https://drafts.csswg.org/cssom/#common-serializing-idioms + rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g, + fcssescape = function( ch, asCodePoint ) { + if ( asCodePoint ) { + + // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER + if ( ch === "\0" ) { + return "\uFFFD"; + } + + // Control characters and (dependent upon position) numbers get escaped as code points + return ch.slice( 0, -1 ) + "\\" + + ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " "; + } + + // Other potentially-special ASCII characters get backslash-escaped + return "\\" + ch; + }, + + // Used for iframes + // See setDocument() + // Removing the function wrapper causes a "Permission Denied" + // error in IE + unloadHandler = function() { + setDocument(); + }, + + inDisabledFieldset = addCombinator( + function( elem ) { + return elem.disabled === true && elem.nodeName.toLowerCase() === "fieldset"; + }, + { dir: "parentNode", next: "legend" } + ); + +// Optimize for push.apply( _, NodeList ) +try { + push.apply( + ( arr = slice.call( preferredDoc.childNodes ) ), + preferredDoc.childNodes + ); + + // Support: Android<4.0 + // Detect silently failing push.apply + // eslint-disable-next-line no-unused-expressions + arr[ preferredDoc.childNodes.length ].nodeType; +} catch ( e ) { + push = { apply: arr.length ? + + // Leverage slice if possible + function( target, els ) { + pushNative.apply( target, slice.call( els ) ); + } : + + // Support: IE<9 + // Otherwise append directly + function( target, els ) { + var j = target.length, + i = 0; + + // Can't trust NodeList.length + while ( ( target[ j++ ] = els[ i++ ] ) ) {} + target.length = j - 1; + } + }; +} + +function Sizzle( selector, context, results, seed ) { + var m, i, elem, nid, match, groups, newSelector, + newContext = context && context.ownerDocument, + + // nodeType defaults to 9, since context defaults to document + nodeType = context ? context.nodeType : 9; + + results = results || []; + + // Return early from calls with invalid selector or context + if ( typeof selector !== "string" || !selector || + nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) { + + return results; + } + + // Try to shortcut find operations (as opposed to filters) in HTML documents + if ( !seed ) { + setDocument( context ); + context = context || document; + + if ( documentIsHTML ) { + + // If the selector is sufficiently simple, try using a "get*By*" DOM method + // (excepting DocumentFragment context, where the methods don't exist) + if ( nodeType !== 11 && ( match = rquickExpr.exec( selector ) ) ) { + + // ID selector + if ( ( m = match[ 1 ] ) ) { + + // Document context + if ( nodeType === 9 ) { + if ( ( elem = context.getElementById( m ) ) ) { + + // Support: IE, Opera, Webkit + // TODO: identify versions + // getElementById can match elements by name instead of ID + if ( elem.id === m ) { + results.push( elem ); + return results; + } + } else { + return results; + } + + // Element context + } else { + + // Support: IE, Opera, Webkit + // TODO: identify versions + // getElementById can match elements by name instead of ID + if ( newContext && ( elem = newContext.getElementById( m ) ) && + contains( context, elem ) && + elem.id === m ) { + + results.push( elem ); + return results; + } + } + + // Type selector + } else if ( match[ 2 ] ) { + push.apply( results, context.getElementsByTagName( selector ) ); + return results; + + // Class selector + } else if ( ( m = match[ 3 ] ) && support.getElementsByClassName && + context.getElementsByClassName ) { + + push.apply( results, context.getElementsByClassName( m ) ); + return results; + } + } + + // Take advantage of querySelectorAll + if ( support.qsa && + !nonnativeSelectorCache[ selector + " " ] && + ( !rbuggyQSA || !rbuggyQSA.test( selector ) ) && + + // Support: IE 8 only + // Exclude object elements + ( nodeType !== 1 || context.nodeName.toLowerCase() !== "object" ) ) { + + newSelector = selector; + newContext = context; + + // qSA considers elements outside a scoping root when evaluating child or + // descendant combinators, which is not what we want. + // In such cases, we work around the behavior by prefixing every selector in the + // list with an ID selector referencing the scope context. + // The technique has to be used as well when a leading combinator is used + // as such selectors are not recognized by querySelectorAll. + // Thanks to Andrew Dupont for this technique. + if ( nodeType === 1 && + ( rdescend.test( selector ) || rcombinators.test( selector ) ) ) { + + // Expand context for sibling selectors + newContext = rsibling.test( selector ) && testContext( context.parentNode ) || + context; + + // We can use :scope instead of the ID hack if the browser + // supports it & if we're not changing the context. + if ( newContext !== context || !support.scope ) { + + // Capture the context ID, setting it first if necessary + if ( ( nid = context.getAttribute( "id" ) ) ) { + nid = nid.replace( rcssescape, fcssescape ); + } else { + context.setAttribute( "id", ( nid = expando ) ); + } + } + + // Prefix every selector in the list + groups = tokenize( selector ); + i = groups.length; + while ( i-- ) { + groups[ i ] = ( nid ? "#" + nid : ":scope" ) + " " + + toSelector( groups[ i ] ); + } + newSelector = groups.join( "," ); + } + + try { + push.apply( results, + newContext.querySelectorAll( newSelector ) + ); + return results; + } catch ( qsaError ) { + nonnativeSelectorCache( selector, true ); + } finally { + if ( nid === expando ) { + context.removeAttribute( "id" ); + } + } + } + } + } + + // All others + return select( selector.replace( rtrim, "$1" ), context, results, seed ); +} + +/** + * Create key-value caches of limited size + * @returns {function(string, object)} Returns the Object data after storing it on itself with + * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) + * deleting the oldest entry + */ +function createCache() { + var keys = []; + + function cache( key, value ) { + + // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) + if ( keys.push( key + " " ) > Expr.cacheLength ) { + + // Only keep the most recent entries + delete cache[ keys.shift() ]; + } + return ( cache[ key + " " ] = value ); + } + return cache; +} + +/** + * Mark a function for special use by Sizzle + * @param {Function} fn The function to mark + */ +function markFunction( fn ) { + fn[ expando ] = true; + return fn; +} + +/** + * Support testing using an element + * @param {Function} fn Passed the created element and returns a boolean result + */ +function assert( fn ) { + var el = document.createElement( "fieldset" ); + + try { + return !!fn( el ); + } catch ( e ) { + return false; + } finally { + + // Remove from its parent by default + if ( el.parentNode ) { + el.parentNode.removeChild( el ); + } + + // release memory in IE + el = null; + } +} + +/** + * Adds the same handler for all of the specified attrs + * @param {String} attrs Pipe-separated list of attributes + * @param {Function} handler The method that will be applied + */ +function addHandle( attrs, handler ) { + var arr = attrs.split( "|" ), + i = arr.length; + + while ( i-- ) { + Expr.attrHandle[ arr[ i ] ] = handler; + } +} + +/** + * Checks document order of two siblings + * @param {Element} a + * @param {Element} b + * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b + */ +function siblingCheck( a, b ) { + var cur = b && a, + diff = cur && a.nodeType === 1 && b.nodeType === 1 && + a.sourceIndex - b.sourceIndex; + + // Use IE sourceIndex if available on both nodes + if ( diff ) { + return diff; + } + + // Check if b follows a + if ( cur ) { + while ( ( cur = cur.nextSibling ) ) { + if ( cur === b ) { + return -1; + } + } + } + + return a ? 1 : -1; +} + +/** + * Returns a function to use in pseudos for input types + * @param {String} type + */ +function createInputPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === type; + }; +} + +/** + * Returns a function to use in pseudos for buttons + * @param {String} type + */ +function createButtonPseudo( type ) { + return function( elem ) { + var name = elem.nodeName.toLowerCase(); + return ( name === "input" || name === "button" ) && elem.type === type; + }; +} + +/** + * Returns a function to use in pseudos for :enabled/:disabled + * @param {Boolean} disabled true for :disabled; false for :enabled + */ +function createDisabledPseudo( disabled ) { + + // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable + return function( elem ) { + + // Only certain elements can match :enabled or :disabled + // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled + // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled + if ( "form" in elem ) { + + // Check for inherited disabledness on relevant non-disabled elements: + // * listed form-associated elements in a disabled fieldset + // https://html.spec.whatwg.org/multipage/forms.html#category-listed + // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled + // * option elements in a disabled optgroup + // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled + // All such elements have a "form" property. + if ( elem.parentNode && elem.disabled === false ) { + + // Option elements defer to a parent optgroup if present + if ( "label" in elem ) { + if ( "label" in elem.parentNode ) { + return elem.parentNode.disabled === disabled; + } else { + return elem.disabled === disabled; + } + } + + // Support: IE 6 - 11 + // Use the isDisabled shortcut property to check for disabled fieldset ancestors + return elem.isDisabled === disabled || + + // Where there is no isDisabled, check manually + /* jshint -W018 */ + elem.isDisabled !== !disabled && + inDisabledFieldset( elem ) === disabled; + } + + return elem.disabled === disabled; + + // Try to winnow out elements that can't be disabled before trusting the disabled property. + // Some victims get caught in our net (label, legend, menu, track), but it shouldn't + // even exist on them, let alone have a boolean value. + } else if ( "label" in elem ) { + return elem.disabled === disabled; + } + + // Remaining elements are neither :enabled nor :disabled + return false; + }; +} + +/** + * Returns a function to use in pseudos for positionals + * @param {Function} fn + */ +function createPositionalPseudo( fn ) { + return markFunction( function( argument ) { + argument = +argument; + return markFunction( function( seed, matches ) { + var j, + matchIndexes = fn( [], seed.length, argument ), + i = matchIndexes.length; + + // Match elements found at the specified indexes + while ( i-- ) { + if ( seed[ ( j = matchIndexes[ i ] ) ] ) { + seed[ j ] = !( matches[ j ] = seed[ j ] ); + } + } + } ); + } ); +} + +/** + * Checks a node for validity as a Sizzle context + * @param {Element|Object=} context + * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value + */ +function testContext( context ) { + return context && typeof context.getElementsByTagName !== "undefined" && context; +} + +// Expose support vars for convenience +support = Sizzle.support = {}; + +/** + * Detects XML nodes + * @param {Element|Object} elem An element or a document + * @returns {Boolean} True iff elem is a non-HTML XML node + */ +isXML = Sizzle.isXML = function( elem ) { + var namespace = elem.namespaceURI, + docElem = ( elem.ownerDocument || elem ).documentElement; + + // Support: IE <=8 + // Assume HTML when documentElement doesn't yet exist, such as inside loading iframes + // https://bugs.jquery.com/ticket/4833 + return !rhtml.test( namespace || docElem && docElem.nodeName || "HTML" ); +}; + +/** + * Sets document-related variables once based on the current document + * @param {Element|Object} [doc] An element or document object to use to set the document + * @returns {Object} Returns the current document + */ +setDocument = Sizzle.setDocument = function( node ) { + var hasCompare, subWindow, + doc = node ? node.ownerDocument || node : preferredDoc; + + // Return early if doc is invalid or already selected + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( doc == document || doc.nodeType !== 9 || !doc.documentElement ) { + return document; + } + + // Update global variables + document = doc; + docElem = document.documentElement; + documentIsHTML = !isXML( document ); + + // Support: IE 9 - 11+, Edge 12 - 18+ + // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936) + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( preferredDoc != document && + ( subWindow = document.defaultView ) && subWindow.top !== subWindow ) { + + // Support: IE 11, Edge + if ( subWindow.addEventListener ) { + subWindow.addEventListener( "unload", unloadHandler, false ); + + // Support: IE 9 - 10 only + } else if ( subWindow.attachEvent ) { + subWindow.attachEvent( "onunload", unloadHandler ); + } + } + + // Support: IE 8 - 11+, Edge 12 - 18+, Chrome <=16 - 25 only, Firefox <=3.6 - 31 only, + // Safari 4 - 5 only, Opera <=11.6 - 12.x only + // IE/Edge & older browsers don't support the :scope pseudo-class. + // Support: Safari 6.0 only + // Safari 6.0 supports :scope but it's an alias of :root there. + support.scope = assert( function( el ) { + docElem.appendChild( el ).appendChild( document.createElement( "div" ) ); + return typeof el.querySelectorAll !== "undefined" && + !el.querySelectorAll( ":scope fieldset div" ).length; + } ); + + /* Attributes + ---------------------------------------------------------------------- */ + + // Support: IE<8 + // Verify that getAttribute really returns attributes and not properties + // (excepting IE8 booleans) + support.attributes = assert( function( el ) { + el.className = "i"; + return !el.getAttribute( "className" ); + } ); + + /* getElement(s)By* + ---------------------------------------------------------------------- */ + + // Check if getElementsByTagName("*") returns only elements + support.getElementsByTagName = assert( function( el ) { + el.appendChild( document.createComment( "" ) ); + return !el.getElementsByTagName( "*" ).length; + } ); + + // Support: IE<9 + support.getElementsByClassName = rnative.test( document.getElementsByClassName ); + + // Support: IE<10 + // Check if getElementById returns elements by name + // The broken getElementById methods don't pick up programmatically-set names, + // so use a roundabout getElementsByName test + support.getById = assert( function( el ) { + docElem.appendChild( el ).id = expando; + return !document.getElementsByName || !document.getElementsByName( expando ).length; + } ); + + // ID filter and find + if ( support.getById ) { + Expr.filter[ "ID" ] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + return elem.getAttribute( "id" ) === attrId; + }; + }; + Expr.find[ "ID" ] = function( id, context ) { + if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { + var elem = context.getElementById( id ); + return elem ? [ elem ] : []; + } + }; + } else { + Expr.filter[ "ID" ] = function( id ) { + var attrId = id.replace( runescape, funescape ); + return function( elem ) { + var node = typeof elem.getAttributeNode !== "undefined" && + elem.getAttributeNode( "id" ); + return node && node.value === attrId; + }; + }; + + // Support: IE 6 - 7 only + // getElementById is not reliable as a find shortcut + Expr.find[ "ID" ] = function( id, context ) { + if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { + var node, i, elems, + elem = context.getElementById( id ); + + if ( elem ) { + + // Verify the id attribute + node = elem.getAttributeNode( "id" ); + if ( node && node.value === id ) { + return [ elem ]; + } + + // Fall back on getElementsByName + elems = context.getElementsByName( id ); + i = 0; + while ( ( elem = elems[ i++ ] ) ) { + node = elem.getAttributeNode( "id" ); + if ( node && node.value === id ) { + return [ elem ]; + } + } + } + + return []; + } + }; + } + + // Tag + Expr.find[ "TAG" ] = support.getElementsByTagName ? + function( tag, context ) { + if ( typeof context.getElementsByTagName !== "undefined" ) { + return context.getElementsByTagName( tag ); + + // DocumentFragment nodes don't have gEBTN + } else if ( support.qsa ) { + return context.querySelectorAll( tag ); + } + } : + + function( tag, context ) { + var elem, + tmp = [], + i = 0, + + // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too + results = context.getElementsByTagName( tag ); + + // Filter out possible comments + if ( tag === "*" ) { + while ( ( elem = results[ i++ ] ) ) { + if ( elem.nodeType === 1 ) { + tmp.push( elem ); + } + } + + return tmp; + } + return results; + }; + + // Class + Expr.find[ "CLASS" ] = support.getElementsByClassName && function( className, context ) { + if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) { + return context.getElementsByClassName( className ); + } + }; + + /* QSA/matchesSelector + ---------------------------------------------------------------------- */ + + // QSA and matchesSelector support + + // matchesSelector(:active) reports false when true (IE9/Opera 11.5) + rbuggyMatches = []; + + // qSa(:focus) reports false when true (Chrome 21) + // We allow this because of a bug in IE8/9 that throws an error + // whenever `document.activeElement` is accessed on an iframe + // So, we allow :focus to pass through QSA all the time to avoid the IE error + // See https://bugs.jquery.com/ticket/13378 + rbuggyQSA = []; + + if ( ( support.qsa = rnative.test( document.querySelectorAll ) ) ) { + + // Build QSA regex + // Regex strategy adopted from Diego Perini + assert( function( el ) { + + var input; + + // Select is set to empty string on purpose + // This is to test IE's treatment of not explicitly + // setting a boolean content attribute, + // since its presence should be enough + // https://bugs.jquery.com/ticket/12359 + docElem.appendChild( el ).innerHTML = "" + + ""; + + // Support: IE8, Opera 11-12.16 + // Nothing should be selected when empty strings follow ^= or $= or *= + // The test attribute must be unknown in Opera but "safe" for WinRT + // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section + if ( el.querySelectorAll( "[msallowcapture^='']" ).length ) { + rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); + } + + // Support: IE8 + // Boolean attributes and "value" are not treated correctly + if ( !el.querySelectorAll( "[selected]" ).length ) { + rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); + } + + // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+ + if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) { + rbuggyQSA.push( "~=" ); + } + + // Support: IE 11+, Edge 15 - 18+ + // IE 11/Edge don't find elements on a `[name='']` query in some cases. + // Adding a temporary attribute to the document before the selection works + // around the issue. + // Interestingly, IE 10 & older don't seem to have the issue. + input = document.createElement( "input" ); + input.setAttribute( "name", "" ); + el.appendChild( input ); + if ( !el.querySelectorAll( "[name='']" ).length ) { + rbuggyQSA.push( "\\[" + whitespace + "*name" + whitespace + "*=" + + whitespace + "*(?:''|\"\")" ); + } + + // Webkit/Opera - :checked should return selected option elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + // IE8 throws error here and will not see later tests + if ( !el.querySelectorAll( ":checked" ).length ) { + rbuggyQSA.push( ":checked" ); + } + + // Support: Safari 8+, iOS 8+ + // https://bugs.webkit.org/show_bug.cgi?id=136851 + // In-page `selector#id sibling-combinator selector` fails + if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) { + rbuggyQSA.push( ".#.+[+~]" ); + } + + // Support: Firefox <=3.6 - 5 only + // Old Firefox doesn't throw on a badly-escaped identifier. + el.querySelectorAll( "\\\f" ); + rbuggyQSA.push( "[\\r\\n\\f]" ); + } ); + + assert( function( el ) { + el.innerHTML = "" + + ""; + + // Support: Windows 8 Native Apps + // The type and name attributes are restricted during .innerHTML assignment + var input = document.createElement( "input" ); + input.setAttribute( "type", "hidden" ); + el.appendChild( input ).setAttribute( "name", "D" ); + + // Support: IE8 + // Enforce case-sensitivity of name attribute + if ( el.querySelectorAll( "[name=d]" ).length ) { + rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); + } + + // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) + // IE8 throws error here and will not see later tests + if ( el.querySelectorAll( ":enabled" ).length !== 2 ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Support: IE9-11+ + // IE's :disabled selector does not pick up the children of disabled fieldsets + docElem.appendChild( el ).disabled = true; + if ( el.querySelectorAll( ":disabled" ).length !== 2 ) { + rbuggyQSA.push( ":enabled", ":disabled" ); + } + + // Support: Opera 10 - 11 only + // Opera 10-11 does not throw on post-comma invalid pseudos + el.querySelectorAll( "*,:x" ); + rbuggyQSA.push( ",.*:" ); + } ); + } + + if ( ( support.matchesSelector = rnative.test( ( matches = docElem.matches || + docElem.webkitMatchesSelector || + docElem.mozMatchesSelector || + docElem.oMatchesSelector || + docElem.msMatchesSelector ) ) ) ) { + + assert( function( el ) { + + // Check to see if it's possible to do matchesSelector + // on a disconnected node (IE 9) + support.disconnectedMatch = matches.call( el, "*" ); + + // This should fail with an exception + // Gecko does not error, returns false instead + matches.call( el, "[s!='']:x" ); + rbuggyMatches.push( "!=", pseudos ); + } ); + } + + rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join( "|" ) ); + rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join( "|" ) ); + + /* Contains + ---------------------------------------------------------------------- */ + hasCompare = rnative.test( docElem.compareDocumentPosition ); + + // Element contains another + // Purposefully self-exclusive + // As in, an element does not contain itself + contains = hasCompare || rnative.test( docElem.contains ) ? + function( a, b ) { + var adown = a.nodeType === 9 ? a.documentElement : a, + bup = b && b.parentNode; + return a === bup || !!( bup && bup.nodeType === 1 && ( + adown.contains ? + adown.contains( bup ) : + a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 + ) ); + } : + function( a, b ) { + if ( b ) { + while ( ( b = b.parentNode ) ) { + if ( b === a ) { + return true; + } + } + } + return false; + }; + + /* Sorting + ---------------------------------------------------------------------- */ + + // Document order sorting + sortOrder = hasCompare ? + function( a, b ) { + + // Flag for duplicate removal + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + // Sort on method existence if only one input has compareDocumentPosition + var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; + if ( compare ) { + return compare; + } + + // Calculate position if both inputs belong to the same document + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + compare = ( a.ownerDocument || a ) == ( b.ownerDocument || b ) ? + a.compareDocumentPosition( b ) : + + // Otherwise we know they are disconnected + 1; + + // Disconnected nodes + if ( compare & 1 || + ( !support.sortDetached && b.compareDocumentPosition( a ) === compare ) ) { + + // Choose the first element that is related to our preferred document + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( a == document || a.ownerDocument == preferredDoc && + contains( preferredDoc, a ) ) { + return -1; + } + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( b == document || b.ownerDocument == preferredDoc && + contains( preferredDoc, b ) ) { + return 1; + } + + // Maintain original order + return sortInput ? + ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : + 0; + } + + return compare & 4 ? -1 : 1; + } : + function( a, b ) { + + // Exit early if the nodes are identical + if ( a === b ) { + hasDuplicate = true; + return 0; + } + + var cur, + i = 0, + aup = a.parentNode, + bup = b.parentNode, + ap = [ a ], + bp = [ b ]; + + // Parentless nodes are either documents or disconnected + if ( !aup || !bup ) { + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + /* eslint-disable eqeqeq */ + return a == document ? -1 : + b == document ? 1 : + /* eslint-enable eqeqeq */ + aup ? -1 : + bup ? 1 : + sortInput ? + ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : + 0; + + // If the nodes are siblings, we can do a quick check + } else if ( aup === bup ) { + return siblingCheck( a, b ); + } + + // Otherwise we need full lists of their ancestors for comparison + cur = a; + while ( ( cur = cur.parentNode ) ) { + ap.unshift( cur ); + } + cur = b; + while ( ( cur = cur.parentNode ) ) { + bp.unshift( cur ); + } + + // Walk down the tree looking for a discrepancy + while ( ap[ i ] === bp[ i ] ) { + i++; + } + + return i ? + + // Do a sibling check if the nodes have a common ancestor + siblingCheck( ap[ i ], bp[ i ] ) : + + // Otherwise nodes in our document sort first + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + /* eslint-disable eqeqeq */ + ap[ i ] == preferredDoc ? -1 : + bp[ i ] == preferredDoc ? 1 : + /* eslint-enable eqeqeq */ + 0; + }; + + return document; +}; + +Sizzle.matches = function( expr, elements ) { + return Sizzle( expr, null, null, elements ); +}; + +Sizzle.matchesSelector = function( elem, expr ) { + setDocument( elem ); + + if ( support.matchesSelector && documentIsHTML && + !nonnativeSelectorCache[ expr + " " ] && + ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && + ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { + + try { + var ret = matches.call( elem, expr ); + + // IE 9's matchesSelector returns false on disconnected nodes + if ( ret || support.disconnectedMatch || + + // As well, disconnected nodes are said to be in a document + // fragment in IE 9 + elem.document && elem.document.nodeType !== 11 ) { + return ret; + } + } catch ( e ) { + nonnativeSelectorCache( expr, true ); + } + } + + return Sizzle( expr, document, null, [ elem ] ).length > 0; +}; + +Sizzle.contains = function( context, elem ) { + + // Set document vars if needed + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( ( context.ownerDocument || context ) != document ) { + setDocument( context ); + } + return contains( context, elem ); +}; + +Sizzle.attr = function( elem, name ) { + + // Set document vars if needed + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( ( elem.ownerDocument || elem ) != document ) { + setDocument( elem ); + } + + var fn = Expr.attrHandle[ name.toLowerCase() ], + + // Don't get fooled by Object.prototype properties (jQuery #13807) + val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? + fn( elem, name, !documentIsHTML ) : + undefined; + + return val !== undefined ? + val : + support.attributes || !documentIsHTML ? + elem.getAttribute( name ) : + ( val = elem.getAttributeNode( name ) ) && val.specified ? + val.value : + null; +}; + +Sizzle.escape = function( sel ) { + return ( sel + "" ).replace( rcssescape, fcssescape ); +}; + +Sizzle.error = function( msg ) { + throw new Error( "Syntax error, unrecognized expression: " + msg ); +}; + +/** + * Document sorting and removing duplicates + * @param {ArrayLike} results + */ +Sizzle.uniqueSort = function( results ) { + var elem, + duplicates = [], + j = 0, + i = 0; + + // Unless we *know* we can detect duplicates, assume their presence + hasDuplicate = !support.detectDuplicates; + sortInput = !support.sortStable && results.slice( 0 ); + results.sort( sortOrder ); + + if ( hasDuplicate ) { + while ( ( elem = results[ i++ ] ) ) { + if ( elem === results[ i ] ) { + j = duplicates.push( i ); + } + } + while ( j-- ) { + results.splice( duplicates[ j ], 1 ); + } + } + + // Clear input after sorting to release objects + // See https://github.com/jquery/sizzle/pull/225 + sortInput = null; + + return results; +}; + +/** + * Utility function for retrieving the text value of an array of DOM nodes + * @param {Array|Element} elem + */ +getText = Sizzle.getText = function( elem ) { + var node, + ret = "", + i = 0, + nodeType = elem.nodeType; + + if ( !nodeType ) { + + // If no nodeType, this is expected to be an array + while ( ( node = elem[ i++ ] ) ) { + + // Do not traverse comment nodes + ret += getText( node ); + } + } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { + + // Use textContent for elements + // innerText usage removed for consistency of new lines (jQuery #11153) + if ( typeof elem.textContent === "string" ) { + return elem.textContent; + } else { + + // Traverse its children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + ret += getText( elem ); + } + } + } else if ( nodeType === 3 || nodeType === 4 ) { + return elem.nodeValue; + } + + // Do not include comment or processing instruction nodes + + return ret; +}; + +Expr = Sizzle.selectors = { + + // Can be adjusted by the user + cacheLength: 50, + + createPseudo: markFunction, + + match: matchExpr, + + attrHandle: {}, + + find: {}, + + relative: { + ">": { dir: "parentNode", first: true }, + " ": { dir: "parentNode" }, + "+": { dir: "previousSibling", first: true }, + "~": { dir: "previousSibling" } + }, + + preFilter: { + "ATTR": function( match ) { + match[ 1 ] = match[ 1 ].replace( runescape, funescape ); + + // Move the given value to match[3] whether quoted or unquoted + match[ 3 ] = ( match[ 3 ] || match[ 4 ] || + match[ 5 ] || "" ).replace( runescape, funescape ); + + if ( match[ 2 ] === "~=" ) { + match[ 3 ] = " " + match[ 3 ] + " "; + } + + return match.slice( 0, 4 ); + }, + + "CHILD": function( match ) { + + /* matches from matchExpr["CHILD"] + 1 type (only|nth|...) + 2 what (child|of-type) + 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) + 4 xn-component of xn+y argument ([+-]?\d*n|) + 5 sign of xn-component + 6 x of xn-component + 7 sign of y-component + 8 y of y-component + */ + match[ 1 ] = match[ 1 ].toLowerCase(); + + if ( match[ 1 ].slice( 0, 3 ) === "nth" ) { + + // nth-* requires argument + if ( !match[ 3 ] ) { + Sizzle.error( match[ 0 ] ); + } + + // numeric x and y parameters for Expr.filter.CHILD + // remember that false/true cast respectively to 0/1 + match[ 4 ] = +( match[ 4 ] ? + match[ 5 ] + ( match[ 6 ] || 1 ) : + 2 * ( match[ 3 ] === "even" || match[ 3 ] === "odd" ) ); + match[ 5 ] = +( ( match[ 7 ] + match[ 8 ] ) || match[ 3 ] === "odd" ); + + // other types prohibit arguments + } else if ( match[ 3 ] ) { + Sizzle.error( match[ 0 ] ); + } + + return match; + }, + + "PSEUDO": function( match ) { + var excess, + unquoted = !match[ 6 ] && match[ 2 ]; + + if ( matchExpr[ "CHILD" ].test( match[ 0 ] ) ) { + return null; + } + + // Accept quoted arguments as-is + if ( match[ 3 ] ) { + match[ 2 ] = match[ 4 ] || match[ 5 ] || ""; + + // Strip excess characters from unquoted arguments + } else if ( unquoted && rpseudo.test( unquoted ) && + + // Get excess from tokenize (recursively) + ( excess = tokenize( unquoted, true ) ) && + + // advance to the next closing parenthesis + ( excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length ) ) { + + // excess is a negative index + match[ 0 ] = match[ 0 ].slice( 0, excess ); + match[ 2 ] = unquoted.slice( 0, excess ); + } + + // Return only captures needed by the pseudo filter method (type and argument) + return match.slice( 0, 3 ); + } + }, + + filter: { + + "TAG": function( nodeNameSelector ) { + var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); + return nodeNameSelector === "*" ? + function() { + return true; + } : + function( elem ) { + return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; + }; + }, + + "CLASS": function( className ) { + var pattern = classCache[ className + " " ]; + + return pattern || + ( pattern = new RegExp( "(^|" + whitespace + + ")" + className + "(" + whitespace + "|$)" ) ) && classCache( + className, function( elem ) { + return pattern.test( + typeof elem.className === "string" && elem.className || + typeof elem.getAttribute !== "undefined" && + elem.getAttribute( "class" ) || + "" + ); + } ); + }, + + "ATTR": function( name, operator, check ) { + return function( elem ) { + var result = Sizzle.attr( elem, name ); + + if ( result == null ) { + return operator === "!="; + } + if ( !operator ) { + return true; + } + + result += ""; + + /* eslint-disable max-len */ + + return operator === "=" ? result === check : + operator === "!=" ? result !== check : + operator === "^=" ? check && result.indexOf( check ) === 0 : + operator === "*=" ? check && result.indexOf( check ) > -1 : + operator === "$=" ? check && result.slice( -check.length ) === check : + operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 : + operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : + false; + /* eslint-enable max-len */ + + }; + }, + + "CHILD": function( type, what, _argument, first, last ) { + var simple = type.slice( 0, 3 ) !== "nth", + forward = type.slice( -4 ) !== "last", + ofType = what === "of-type"; + + return first === 1 && last === 0 ? + + // Shortcut for :nth-*(n) + function( elem ) { + return !!elem.parentNode; + } : + + function( elem, _context, xml ) { + var cache, uniqueCache, outerCache, node, nodeIndex, start, + dir = simple !== forward ? "nextSibling" : "previousSibling", + parent = elem.parentNode, + name = ofType && elem.nodeName.toLowerCase(), + useCache = !xml && !ofType, + diff = false; + + if ( parent ) { + + // :(first|last|only)-(child|of-type) + if ( simple ) { + while ( dir ) { + node = elem; + while ( ( node = node[ dir ] ) ) { + if ( ofType ? + node.nodeName.toLowerCase() === name : + node.nodeType === 1 ) { + + return false; + } + } + + // Reverse direction for :only-* (if we haven't yet done so) + start = dir = type === "only" && !start && "nextSibling"; + } + return true; + } + + start = [ forward ? parent.firstChild : parent.lastChild ]; + + // non-xml :nth-child(...) stores cache data on `parent` + if ( forward && useCache ) { + + // Seek `elem` from a previously-cached index + + // ...in a gzip-friendly way + node = parent; + outerCache = node[ expando ] || ( node[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + ( outerCache[ node.uniqueID ] = {} ); + + cache = uniqueCache[ type ] || []; + nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; + diff = nodeIndex && cache[ 2 ]; + node = nodeIndex && parent.childNodes[ nodeIndex ]; + + while ( ( node = ++nodeIndex && node && node[ dir ] || + + // Fallback to seeking `elem` from the start + ( diff = nodeIndex = 0 ) || start.pop() ) ) { + + // When found, cache indexes on `parent` and break + if ( node.nodeType === 1 && ++diff && node === elem ) { + uniqueCache[ type ] = [ dirruns, nodeIndex, diff ]; + break; + } + } + + } else { + + // Use previously-cached element index if available + if ( useCache ) { + + // ...in a gzip-friendly way + node = elem; + outerCache = node[ expando ] || ( node[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + ( outerCache[ node.uniqueID ] = {} ); + + cache = uniqueCache[ type ] || []; + nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; + diff = nodeIndex; + } + + // xml :nth-child(...) + // or :nth-last-child(...) or :nth(-last)?-of-type(...) + if ( diff === false ) { + + // Use the same loop as above to seek `elem` from the start + while ( ( node = ++nodeIndex && node && node[ dir ] || + ( diff = nodeIndex = 0 ) || start.pop() ) ) { + + if ( ( ofType ? + node.nodeName.toLowerCase() === name : + node.nodeType === 1 ) && + ++diff ) { + + // Cache the index of each encountered element + if ( useCache ) { + outerCache = node[ expando ] || + ( node[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ node.uniqueID ] || + ( outerCache[ node.uniqueID ] = {} ); + + uniqueCache[ type ] = [ dirruns, diff ]; + } + + if ( node === elem ) { + break; + } + } + } + } + } + + // Incorporate the offset, then check against cycle size + diff -= last; + return diff === first || ( diff % first === 0 && diff / first >= 0 ); + } + }; + }, + + "PSEUDO": function( pseudo, argument ) { + + // pseudo-class names are case-insensitive + // http://www.w3.org/TR/selectors/#pseudo-classes + // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters + // Remember that setFilters inherits from pseudos + var args, + fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || + Sizzle.error( "unsupported pseudo: " + pseudo ); + + // The user may use createPseudo to indicate that + // arguments are needed to create the filter function + // just as Sizzle does + if ( fn[ expando ] ) { + return fn( argument ); + } + + // But maintain support for old signatures + if ( fn.length > 1 ) { + args = [ pseudo, pseudo, "", argument ]; + return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? + markFunction( function( seed, matches ) { + var idx, + matched = fn( seed, argument ), + i = matched.length; + while ( i-- ) { + idx = indexOf( seed, matched[ i ] ); + seed[ idx ] = !( matches[ idx ] = matched[ i ] ); + } + } ) : + function( elem ) { + return fn( elem, 0, args ); + }; + } + + return fn; + } + }, + + pseudos: { + + // Potentially complex pseudos + "not": markFunction( function( selector ) { + + // Trim the selector passed to compile + // to avoid treating leading and trailing + // spaces as combinators + var input = [], + results = [], + matcher = compile( selector.replace( rtrim, "$1" ) ); + + return matcher[ expando ] ? + markFunction( function( seed, matches, _context, xml ) { + var elem, + unmatched = matcher( seed, null, xml, [] ), + i = seed.length; + + // Match elements unmatched by `matcher` + while ( i-- ) { + if ( ( elem = unmatched[ i ] ) ) { + seed[ i ] = !( matches[ i ] = elem ); + } + } + } ) : + function( elem, _context, xml ) { + input[ 0 ] = elem; + matcher( input, null, xml, results ); + + // Don't keep the element (issue #299) + input[ 0 ] = null; + return !results.pop(); + }; + } ), + + "has": markFunction( function( selector ) { + return function( elem ) { + return Sizzle( selector, elem ).length > 0; + }; + } ), + + "contains": markFunction( function( text ) { + text = text.replace( runescape, funescape ); + return function( elem ) { + return ( elem.textContent || getText( elem ) ).indexOf( text ) > -1; + }; + } ), + + // "Whether an element is represented by a :lang() selector + // is based solely on the element's language value + // being equal to the identifier C, + // or beginning with the identifier C immediately followed by "-". + // The matching of C against the element's language value is performed case-insensitively. + // The identifier C does not have to be a valid language name." + // http://www.w3.org/TR/selectors/#lang-pseudo + "lang": markFunction( function( lang ) { + + // lang value must be a valid identifier + if ( !ridentifier.test( lang || "" ) ) { + Sizzle.error( "unsupported lang: " + lang ); + } + lang = lang.replace( runescape, funescape ).toLowerCase(); + return function( elem ) { + var elemLang; + do { + if ( ( elemLang = documentIsHTML ? + elem.lang : + elem.getAttribute( "xml:lang" ) || elem.getAttribute( "lang" ) ) ) { + + elemLang = elemLang.toLowerCase(); + return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; + } + } while ( ( elem = elem.parentNode ) && elem.nodeType === 1 ); + return false; + }; + } ), + + // Miscellaneous + "target": function( elem ) { + var hash = window.location && window.location.hash; + return hash && hash.slice( 1 ) === elem.id; + }, + + "root": function( elem ) { + return elem === docElem; + }, + + "focus": function( elem ) { + return elem === document.activeElement && + ( !document.hasFocus || document.hasFocus() ) && + !!( elem.type || elem.href || ~elem.tabIndex ); + }, + + // Boolean properties + "enabled": createDisabledPseudo( false ), + "disabled": createDisabledPseudo( true ), + + "checked": function( elem ) { + + // In CSS3, :checked should return both checked and selected elements + // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked + var nodeName = elem.nodeName.toLowerCase(); + return ( nodeName === "input" && !!elem.checked ) || + ( nodeName === "option" && !!elem.selected ); + }, + + "selected": function( elem ) { + + // Accessing this property makes selected-by-default + // options in Safari work properly + if ( elem.parentNode ) { + // eslint-disable-next-line no-unused-expressions + elem.parentNode.selectedIndex; + } + + return elem.selected === true; + }, + + // Contents + "empty": function( elem ) { + + // http://www.w3.org/TR/selectors/#empty-pseudo + // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), + // but not by others (comment: 8; processing instruction: 7; etc.) + // nodeType < 6 works because attributes (2) do not appear as children + for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { + if ( elem.nodeType < 6 ) { + return false; + } + } + return true; + }, + + "parent": function( elem ) { + return !Expr.pseudos[ "empty" ]( elem ); + }, + + // Element/input types + "header": function( elem ) { + return rheader.test( elem.nodeName ); + }, + + "input": function( elem ) { + return rinputs.test( elem.nodeName ); + }, + + "button": function( elem ) { + var name = elem.nodeName.toLowerCase(); + return name === "input" && elem.type === "button" || name === "button"; + }, + + "text": function( elem ) { + var attr; + return elem.nodeName.toLowerCase() === "input" && + elem.type === "text" && + + // Support: IE<8 + // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" + ( ( attr = elem.getAttribute( "type" ) ) == null || + attr.toLowerCase() === "text" ); + }, + + // Position-in-collection + "first": createPositionalPseudo( function() { + return [ 0 ]; + } ), + + "last": createPositionalPseudo( function( _matchIndexes, length ) { + return [ length - 1 ]; + } ), + + "eq": createPositionalPseudo( function( _matchIndexes, length, argument ) { + return [ argument < 0 ? argument + length : argument ]; + } ), + + "even": createPositionalPseudo( function( matchIndexes, length ) { + var i = 0; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ), + + "odd": createPositionalPseudo( function( matchIndexes, length ) { + var i = 1; + for ( ; i < length; i += 2 ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ), + + "lt": createPositionalPseudo( function( matchIndexes, length, argument ) { + var i = argument < 0 ? + argument + length : + argument > length ? + length : + argument; + for ( ; --i >= 0; ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ), + + "gt": createPositionalPseudo( function( matchIndexes, length, argument ) { + var i = argument < 0 ? argument + length : argument; + for ( ; ++i < length; ) { + matchIndexes.push( i ); + } + return matchIndexes; + } ) + } +}; + +Expr.pseudos[ "nth" ] = Expr.pseudos[ "eq" ]; + +// Add button/input type pseudos +for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { + Expr.pseudos[ i ] = createInputPseudo( i ); +} +for ( i in { submit: true, reset: true } ) { + Expr.pseudos[ i ] = createButtonPseudo( i ); +} + +// Easy API for creating new setFilters +function setFilters() {} +setFilters.prototype = Expr.filters = Expr.pseudos; +Expr.setFilters = new setFilters(); + +tokenize = Sizzle.tokenize = function( selector, parseOnly ) { + var matched, match, tokens, type, + soFar, groups, preFilters, + cached = tokenCache[ selector + " " ]; + + if ( cached ) { + return parseOnly ? 0 : cached.slice( 0 ); + } + + soFar = selector; + groups = []; + preFilters = Expr.preFilter; + + while ( soFar ) { + + // Comma and first run + if ( !matched || ( match = rcomma.exec( soFar ) ) ) { + if ( match ) { + + // Don't consume trailing commas as valid + soFar = soFar.slice( match[ 0 ].length ) || soFar; + } + groups.push( ( tokens = [] ) ); + } + + matched = false; + + // Combinators + if ( ( match = rcombinators.exec( soFar ) ) ) { + matched = match.shift(); + tokens.push( { + value: matched, + + // Cast descendant combinators to space + type: match[ 0 ].replace( rtrim, " " ) + } ); + soFar = soFar.slice( matched.length ); + } + + // Filters + for ( type in Expr.filter ) { + if ( ( match = matchExpr[ type ].exec( soFar ) ) && ( !preFilters[ type ] || + ( match = preFilters[ type ]( match ) ) ) ) { + matched = match.shift(); + tokens.push( { + value: matched, + type: type, + matches: match + } ); + soFar = soFar.slice( matched.length ); + } + } + + if ( !matched ) { + break; + } + } + + // Return the length of the invalid excess + // if we're just parsing + // Otherwise, throw an error or return tokens + return parseOnly ? + soFar.length : + soFar ? + Sizzle.error( selector ) : + + // Cache the tokens + tokenCache( selector, groups ).slice( 0 ); +}; + +function toSelector( tokens ) { + var i = 0, + len = tokens.length, + selector = ""; + for ( ; i < len; i++ ) { + selector += tokens[ i ].value; + } + return selector; +} + +function addCombinator( matcher, combinator, base ) { + var dir = combinator.dir, + skip = combinator.next, + key = skip || dir, + checkNonElements = base && key === "parentNode", + doneName = done++; + + return combinator.first ? + + // Check against closest ancestor/preceding element + function( elem, context, xml ) { + while ( ( elem = elem[ dir ] ) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + return matcher( elem, context, xml ); + } + } + return false; + } : + + // Check against all ancestor/preceding elements + function( elem, context, xml ) { + var oldCache, uniqueCache, outerCache, + newCache = [ dirruns, doneName ]; + + // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching + if ( xml ) { + while ( ( elem = elem[ dir ] ) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + if ( matcher( elem, context, xml ) ) { + return true; + } + } + } + } else { + while ( ( elem = elem[ dir ] ) ) { + if ( elem.nodeType === 1 || checkNonElements ) { + outerCache = elem[ expando ] || ( elem[ expando ] = {} ); + + // Support: IE <9 only + // Defend against cloned attroperties (jQuery gh-1709) + uniqueCache = outerCache[ elem.uniqueID ] || + ( outerCache[ elem.uniqueID ] = {} ); + + if ( skip && skip === elem.nodeName.toLowerCase() ) { + elem = elem[ dir ] || elem; + } else if ( ( oldCache = uniqueCache[ key ] ) && + oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { + + // Assign to newCache so results back-propagate to previous elements + return ( newCache[ 2 ] = oldCache[ 2 ] ); + } else { + + // Reuse newcache so results back-propagate to previous elements + uniqueCache[ key ] = newCache; + + // A match means we're done; a fail means we have to keep checking + if ( ( newCache[ 2 ] = matcher( elem, context, xml ) ) ) { + return true; + } + } + } + } + } + return false; + }; +} + +function elementMatcher( matchers ) { + return matchers.length > 1 ? + function( elem, context, xml ) { + var i = matchers.length; + while ( i-- ) { + if ( !matchers[ i ]( elem, context, xml ) ) { + return false; + } + } + return true; + } : + matchers[ 0 ]; +} + +function multipleContexts( selector, contexts, results ) { + var i = 0, + len = contexts.length; + for ( ; i < len; i++ ) { + Sizzle( selector, contexts[ i ], results ); + } + return results; +} + +function condense( unmatched, map, filter, context, xml ) { + var elem, + newUnmatched = [], + i = 0, + len = unmatched.length, + mapped = map != null; + + for ( ; i < len; i++ ) { + if ( ( elem = unmatched[ i ] ) ) { + if ( !filter || filter( elem, context, xml ) ) { + newUnmatched.push( elem ); + if ( mapped ) { + map.push( i ); + } + } + } + } + + return newUnmatched; +} + +function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { + if ( postFilter && !postFilter[ expando ] ) { + postFilter = setMatcher( postFilter ); + } + if ( postFinder && !postFinder[ expando ] ) { + postFinder = setMatcher( postFinder, postSelector ); + } + return markFunction( function( seed, results, context, xml ) { + var temp, i, elem, + preMap = [], + postMap = [], + preexisting = results.length, + + // Get initial elements from seed or context + elems = seed || multipleContexts( + selector || "*", + context.nodeType ? [ context ] : context, + [] + ), + + // Prefilter to get matcher input, preserving a map for seed-results synchronization + matcherIn = preFilter && ( seed || !selector ) ? + condense( elems, preMap, preFilter, context, xml ) : + elems, + + matcherOut = matcher ? + + // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, + postFinder || ( seed ? preFilter : preexisting || postFilter ) ? + + // ...intermediate processing is necessary + [] : + + // ...otherwise use results directly + results : + matcherIn; + + // Find primary matches + if ( matcher ) { + matcher( matcherIn, matcherOut, context, xml ); + } + + // Apply postFilter + if ( postFilter ) { + temp = condense( matcherOut, postMap ); + postFilter( temp, [], context, xml ); + + // Un-match failing elements by moving them back to matcherIn + i = temp.length; + while ( i-- ) { + if ( ( elem = temp[ i ] ) ) { + matcherOut[ postMap[ i ] ] = !( matcherIn[ postMap[ i ] ] = elem ); + } + } + } + + if ( seed ) { + if ( postFinder || preFilter ) { + if ( postFinder ) { + + // Get the final matcherOut by condensing this intermediate into postFinder contexts + temp = []; + i = matcherOut.length; + while ( i-- ) { + if ( ( elem = matcherOut[ i ] ) ) { + + // Restore matcherIn since elem is not yet a final match + temp.push( ( matcherIn[ i ] = elem ) ); + } + } + postFinder( null, ( matcherOut = [] ), temp, xml ); + } + + // Move matched elements from seed to results to keep them synchronized + i = matcherOut.length; + while ( i-- ) { + if ( ( elem = matcherOut[ i ] ) && + ( temp = postFinder ? indexOf( seed, elem ) : preMap[ i ] ) > -1 ) { + + seed[ temp ] = !( results[ temp ] = elem ); + } + } + } + + // Add elements to results, through postFinder if defined + } else { + matcherOut = condense( + matcherOut === results ? + matcherOut.splice( preexisting, matcherOut.length ) : + matcherOut + ); + if ( postFinder ) { + postFinder( null, results, matcherOut, xml ); + } else { + push.apply( results, matcherOut ); + } + } + } ); +} + +function matcherFromTokens( tokens ) { + var checkContext, matcher, j, + len = tokens.length, + leadingRelative = Expr.relative[ tokens[ 0 ].type ], + implicitRelative = leadingRelative || Expr.relative[ " " ], + i = leadingRelative ? 1 : 0, + + // The foundational matcher ensures that elements are reachable from top-level context(s) + matchContext = addCombinator( function( elem ) { + return elem === checkContext; + }, implicitRelative, true ), + matchAnyContext = addCombinator( function( elem ) { + return indexOf( checkContext, elem ) > -1; + }, implicitRelative, true ), + matchers = [ function( elem, context, xml ) { + var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( + ( checkContext = context ).nodeType ? + matchContext( elem, context, xml ) : + matchAnyContext( elem, context, xml ) ); + + // Avoid hanging onto element (issue #299) + checkContext = null; + return ret; + } ]; + + for ( ; i < len; i++ ) { + if ( ( matcher = Expr.relative[ tokens[ i ].type ] ) ) { + matchers = [ addCombinator( elementMatcher( matchers ), matcher ) ]; + } else { + matcher = Expr.filter[ tokens[ i ].type ].apply( null, tokens[ i ].matches ); + + // Return special upon seeing a positional matcher + if ( matcher[ expando ] ) { + + // Find the next relative operator (if any) for proper handling + j = ++i; + for ( ; j < len; j++ ) { + if ( Expr.relative[ tokens[ j ].type ] ) { + break; + } + } + return setMatcher( + i > 1 && elementMatcher( matchers ), + i > 1 && toSelector( + + // If the preceding token was a descendant combinator, insert an implicit any-element `*` + tokens + .slice( 0, i - 1 ) + .concat( { value: tokens[ i - 2 ].type === " " ? "*" : "" } ) + ).replace( rtrim, "$1" ), + matcher, + i < j && matcherFromTokens( tokens.slice( i, j ) ), + j < len && matcherFromTokens( ( tokens = tokens.slice( j ) ) ), + j < len && toSelector( tokens ) + ); + } + matchers.push( matcher ); + } + } + + return elementMatcher( matchers ); +} + +function matcherFromGroupMatchers( elementMatchers, setMatchers ) { + var bySet = setMatchers.length > 0, + byElement = elementMatchers.length > 0, + superMatcher = function( seed, context, xml, results, outermost ) { + var elem, j, matcher, + matchedCount = 0, + i = "0", + unmatched = seed && [], + setMatched = [], + contextBackup = outermostContext, + + // We must always have either seed elements or outermost context + elems = seed || byElement && Expr.find[ "TAG" ]( "*", outermost ), + + // Use integer dirruns iff this is the outermost matcher + dirrunsUnique = ( dirruns += contextBackup == null ? 1 : Math.random() || 0.1 ), + len = elems.length; + + if ( outermost ) { + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + outermostContext = context == document || context || outermost; + } + + // Add elements passing elementMatchers directly to results + // Support: IE<9, Safari + // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id + for ( ; i !== len && ( elem = elems[ i ] ) != null; i++ ) { + if ( byElement && elem ) { + j = 0; + + // Support: IE 11+, Edge 17 - 18+ + // IE/Edge sometimes throw a "Permission denied" error when strict-comparing + // two documents; shallow comparisons work. + // eslint-disable-next-line eqeqeq + if ( !context && elem.ownerDocument != document ) { + setDocument( elem ); + xml = !documentIsHTML; + } + while ( ( matcher = elementMatchers[ j++ ] ) ) { + if ( matcher( elem, context || document, xml ) ) { + results.push( elem ); + break; + } + } + if ( outermost ) { + dirruns = dirrunsUnique; + } + } + + // Track unmatched elements for set filters + if ( bySet ) { + + // They will have gone through all possible matchers + if ( ( elem = !matcher && elem ) ) { + matchedCount--; + } + + // Lengthen the array for every element, matched or not + if ( seed ) { + unmatched.push( elem ); + } + } + } + + // `i` is now the count of elements visited above, and adding it to `matchedCount` + // makes the latter nonnegative. + matchedCount += i; + + // Apply set filters to unmatched elements + // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount` + // equals `i`), unless we didn't visit _any_ elements in the above loop because we have + // no element matchers and no seed. + // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that + // case, which will result in a "00" `matchedCount` that differs from `i` but is also + // numerically zero. + if ( bySet && i !== matchedCount ) { + j = 0; + while ( ( matcher = setMatchers[ j++ ] ) ) { + matcher( unmatched, setMatched, context, xml ); + } + + if ( seed ) { + + // Reintegrate element matches to eliminate the need for sorting + if ( matchedCount > 0 ) { + while ( i-- ) { + if ( !( unmatched[ i ] || setMatched[ i ] ) ) { + setMatched[ i ] = pop.call( results ); + } + } + } + + // Discard index placeholder values to get only actual matches + setMatched = condense( setMatched ); + } + + // Add matches to results + push.apply( results, setMatched ); + + // Seedless set matches succeeding multiple successful matchers stipulate sorting + if ( outermost && !seed && setMatched.length > 0 && + ( matchedCount + setMatchers.length ) > 1 ) { + + Sizzle.uniqueSort( results ); + } + } + + // Override manipulation of globals by nested matchers + if ( outermost ) { + dirruns = dirrunsUnique; + outermostContext = contextBackup; + } + + return unmatched; + }; + + return bySet ? + markFunction( superMatcher ) : + superMatcher; +} + +compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { + var i, + setMatchers = [], + elementMatchers = [], + cached = compilerCache[ selector + " " ]; + + if ( !cached ) { + + // Generate a function of recursive functions that can be used to check each element + if ( !match ) { + match = tokenize( selector ); + } + i = match.length; + while ( i-- ) { + cached = matcherFromTokens( match[ i ] ); + if ( cached[ expando ] ) { + setMatchers.push( cached ); + } else { + elementMatchers.push( cached ); + } + } + + // Cache the compiled function + cached = compilerCache( + selector, + matcherFromGroupMatchers( elementMatchers, setMatchers ) + ); + + // Save selector and tokenization + cached.selector = selector; + } + return cached; +}; + +/** + * A low-level selection function that works with Sizzle's compiled + * selector functions + * @param {String|Function} selector A selector or a pre-compiled + * selector function built with Sizzle.compile + * @param {Element} context + * @param {Array} [results] + * @param {Array} [seed] A set of elements to match against + */ +select = Sizzle.select = function( selector, context, results, seed ) { + var i, tokens, token, type, find, + compiled = typeof selector === "function" && selector, + match = !seed && tokenize( ( selector = compiled.selector || selector ) ); + + results = results || []; + + // Try to minimize operations if there is only one selector in the list and no seed + // (the latter of which guarantees us context) + if ( match.length === 1 ) { + + // Reduce context if the leading compound selector is an ID + tokens = match[ 0 ] = match[ 0 ].slice( 0 ); + if ( tokens.length > 2 && ( token = tokens[ 0 ] ).type === "ID" && + context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[ 1 ].type ] ) { + + context = ( Expr.find[ "ID" ]( token.matches[ 0 ] + .replace( runescape, funescape ), context ) || [] )[ 0 ]; + if ( !context ) { + return results; + + // Precompiled matchers will still verify ancestry, so step up a level + } else if ( compiled ) { + context = context.parentNode; + } + + selector = selector.slice( tokens.shift().value.length ); + } + + // Fetch a seed set for right-to-left matching + i = matchExpr[ "needsContext" ].test( selector ) ? 0 : tokens.length; + while ( i-- ) { + token = tokens[ i ]; + + // Abort if we hit a combinator + if ( Expr.relative[ ( type = token.type ) ] ) { + break; + } + if ( ( find = Expr.find[ type ] ) ) { + + // Search, expanding context for leading sibling combinators + if ( ( seed = find( + token.matches[ 0 ].replace( runescape, funescape ), + rsibling.test( tokens[ 0 ].type ) && testContext( context.parentNode ) || + context + ) ) ) { + + // If seed is empty or no tokens remain, we can return early + tokens.splice( i, 1 ); + selector = seed.length && toSelector( tokens ); + if ( !selector ) { + push.apply( results, seed ); + return results; + } + + break; + } + } + } + } + + // Compile and execute a filtering function if one is not provided + // Provide `match` to avoid retokenization if we modified the selector above + ( compiled || compile( selector, match ) )( + seed, + context, + !documentIsHTML, + results, + !context || rsibling.test( selector ) && testContext( context.parentNode ) || context + ); + return results; +}; + +// One-time assignments + +// Sort stability +support.sortStable = expando.split( "" ).sort( sortOrder ).join( "" ) === expando; + +// Support: Chrome 14-35+ +// Always assume duplicates if they aren't passed to the comparison function +support.detectDuplicates = !!hasDuplicate; + +// Initialize against the default document +setDocument(); + +// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) +// Detached nodes confoundingly follow *each other* +support.sortDetached = assert( function( el ) { + + // Should return 1, but returns 4 (following) + return el.compareDocumentPosition( document.createElement( "fieldset" ) ) & 1; +} ); + +// Support: IE<8 +// Prevent attribute/property "interpolation" +// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx +if ( !assert( function( el ) { + el.innerHTML = ""; + return el.firstChild.getAttribute( "href" ) === "#"; +} ) ) { + addHandle( "type|href|height|width", function( elem, name, isXML ) { + if ( !isXML ) { + return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); + } + } ); +} + +// Support: IE<9 +// Use defaultValue in place of getAttribute("value") +if ( !support.attributes || !assert( function( el ) { + el.innerHTML = ""; + el.firstChild.setAttribute( "value", "" ); + return el.firstChild.getAttribute( "value" ) === ""; +} ) ) { + addHandle( "value", function( elem, _name, isXML ) { + if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { + return elem.defaultValue; + } + } ); +} + +// Support: IE<9 +// Use getAttributeNode to fetch booleans when getAttribute lies +if ( !assert( function( el ) { + return el.getAttribute( "disabled" ) == null; +} ) ) { + addHandle( booleans, function( elem, name, isXML ) { + var val; + if ( !isXML ) { + return elem[ name ] === true ? name.toLowerCase() : + ( val = elem.getAttributeNode( name ) ) && val.specified ? + val.value : + null; + } + } ); +} + +return Sizzle; + +} )( window ); + + + +jQuery.find = Sizzle; +jQuery.expr = Sizzle.selectors; + +// Deprecated +jQuery.expr[ ":" ] = jQuery.expr.pseudos; +jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort; +jQuery.text = Sizzle.getText; +jQuery.isXMLDoc = Sizzle.isXML; +jQuery.contains = Sizzle.contains; +jQuery.escapeSelector = Sizzle.escape; + + + + +var dir = function( elem, dir, until ) { + var matched = [], + truncate = until !== undefined; + + while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) { + if ( elem.nodeType === 1 ) { + if ( truncate && jQuery( elem ).is( until ) ) { + break; + } + matched.push( elem ); + } + } + return matched; +}; + + +var siblings = function( n, elem ) { + var matched = []; + + for ( ; n; n = n.nextSibling ) { + if ( n.nodeType === 1 && n !== elem ) { + matched.push( n ); + } + } + + return matched; +}; + + +var rneedsContext = jQuery.expr.match.needsContext; + + + +function nodeName( elem, name ) { + + return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); + +}; +var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i ); + + + +// Implement the identical functionality for filter and not +function winnow( elements, qualifier, not ) { + if ( isFunction( qualifier ) ) { + return jQuery.grep( elements, function( elem, i ) { + return !!qualifier.call( elem, i, elem ) !== not; + } ); + } + + // Single element + if ( qualifier.nodeType ) { + return jQuery.grep( elements, function( elem ) { + return ( elem === qualifier ) !== not; + } ); + } + + // Arraylike of elements (jQuery, arguments, Array) + if ( typeof qualifier !== "string" ) { + return jQuery.grep( elements, function( elem ) { + return ( indexOf.call( qualifier, elem ) > -1 ) !== not; + } ); + } + + // Filtered directly for both simple and complex selectors + return jQuery.filter( qualifier, elements, not ); +} + +jQuery.filter = function( expr, elems, not ) { + var elem = elems[ 0 ]; + + if ( not ) { + expr = ":not(" + expr + ")"; + } + + if ( elems.length === 1 && elem.nodeType === 1 ) { + return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : []; + } + + return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { + return elem.nodeType === 1; + } ) ); +}; + +jQuery.fn.extend( { + find: function( selector ) { + var i, ret, + len = this.length, + self = this; + + if ( typeof selector !== "string" ) { + return this.pushStack( jQuery( selector ).filter( function() { + for ( i = 0; i < len; i++ ) { + if ( jQuery.contains( self[ i ], this ) ) { + return true; + } + } + } ) ); + } + + ret = this.pushStack( [] ); + + for ( i = 0; i < len; i++ ) { + jQuery.find( selector, self[ i ], ret ); + } + + return len > 1 ? jQuery.uniqueSort( ret ) : ret; + }, + filter: function( selector ) { + return this.pushStack( winnow( this, selector || [], false ) ); + }, + not: function( selector ) { + return this.pushStack( winnow( this, selector || [], true ) ); + }, + is: function( selector ) { + return !!winnow( + this, + + // If this is a positional/relative selector, check membership in the returned set + // so $("p:first").is("p:last") won't return true for a doc with two "p". + typeof selector === "string" && rneedsContext.test( selector ) ? + jQuery( selector ) : + selector || [], + false + ).length; + } +} ); + + +// Initialize a jQuery object + + +// A central reference to the root jQuery(document) +var rootjQuery, + + // A simple way to check for HTML strings + // Prioritize #id over to avoid XSS via location.hash (#9521) + // Strict HTML recognition (#11290: must start with <) + // Shortcut simple #id case for speed + rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/, + + init = jQuery.fn.init = function( selector, context, root ) { + var match, elem; + + // HANDLE: $(""), $(null), $(undefined), $(false) + if ( !selector ) { + return this; + } + + // Method init() accepts an alternate rootjQuery + // so migrate can support jQuery.sub (gh-2101) + root = root || rootjQuery; + + // Handle HTML strings + if ( typeof selector === "string" ) { + if ( selector[ 0 ] === "<" && + selector[ selector.length - 1 ] === ">" && + selector.length >= 3 ) { + + // Assume that strings that start and end with <> are HTML and skip the regex check + match = [ null, selector, null ]; + + } else { + match = rquickExpr.exec( selector ); + } + + // Match html or make sure no context is specified for #id + if ( match && ( match[ 1 ] || !context ) ) { + + // HANDLE: $(html) -> $(array) + if ( match[ 1 ] ) { + context = context instanceof jQuery ? context[ 0 ] : context; + + // Option to run scripts is true for back-compat + // Intentionally let the error be thrown if parseHTML is not present + jQuery.merge( this, jQuery.parseHTML( + match[ 1 ], + context && context.nodeType ? context.ownerDocument || context : document, + true + ) ); + + // HANDLE: $(html, props) + if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) { + for ( match in context ) { + + // Properties of context are called as methods if possible + if ( isFunction( this[ match ] ) ) { + this[ match ]( context[ match ] ); + + // ...and otherwise set as attributes + } else { + this.attr( match, context[ match ] ); + } + } + } + + return this; + + // HANDLE: $(#id) + } else { + elem = document.getElementById( match[ 2 ] ); + + if ( elem ) { + + // Inject the element directly into the jQuery object + this[ 0 ] = elem; + this.length = 1; + } + return this; + } + + // HANDLE: $(expr, $(...)) + } else if ( !context || context.jquery ) { + return ( context || root ).find( selector ); + + // HANDLE: $(expr, context) + // (which is just equivalent to: $(context).find(expr) + } else { + return this.constructor( context ).find( selector ); + } + + // HANDLE: $(DOMElement) + } else if ( selector.nodeType ) { + this[ 0 ] = selector; + this.length = 1; + return this; + + // HANDLE: $(function) + // Shortcut for document ready + } else if ( isFunction( selector ) ) { + return root.ready !== undefined ? + root.ready( selector ) : + + // Execute immediately if ready is not present + selector( jQuery ); + } + + return jQuery.makeArray( selector, this ); + }; + +// Give the init function the jQuery prototype for later instantiation +init.prototype = jQuery.fn; + +// Initialize central reference +rootjQuery = jQuery( document ); + + +var rparentsprev = /^(?:parents|prev(?:Until|All))/, + + // Methods guaranteed to produce a unique set when starting from a unique set + guaranteedUnique = { + children: true, + contents: true, + next: true, + prev: true + }; + +jQuery.fn.extend( { + has: function( target ) { + var targets = jQuery( target, this ), + l = targets.length; + + return this.filter( function() { + var i = 0; + for ( ; i < l; i++ ) { + if ( jQuery.contains( this, targets[ i ] ) ) { + return true; + } + } + } ); + }, + + closest: function( selectors, context ) { + var cur, + i = 0, + l = this.length, + matched = [], + targets = typeof selectors !== "string" && jQuery( selectors ); + + // Positional selectors never match, since there's no _selection_ context + if ( !rneedsContext.test( selectors ) ) { + for ( ; i < l; i++ ) { + for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) { + + // Always skip document fragments + if ( cur.nodeType < 11 && ( targets ? + targets.index( cur ) > -1 : + + // Don't pass non-elements to Sizzle + cur.nodeType === 1 && + jQuery.find.matchesSelector( cur, selectors ) ) ) { + + matched.push( cur ); + break; + } + } + } + } + + return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched ); + }, + + // Determine the position of an element within the set + index: function( elem ) { + + // No argument, return index in parent + if ( !elem ) { + return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; + } + + // Index in selector + if ( typeof elem === "string" ) { + return indexOf.call( jQuery( elem ), this[ 0 ] ); + } + + // Locate the position of the desired element + return indexOf.call( this, + + // If it receives a jQuery object, the first element is used + elem.jquery ? elem[ 0 ] : elem + ); + }, + + add: function( selector, context ) { + return this.pushStack( + jQuery.uniqueSort( + jQuery.merge( this.get(), jQuery( selector, context ) ) + ) + ); + }, + + addBack: function( selector ) { + return this.add( selector == null ? + this.prevObject : this.prevObject.filter( selector ) + ); + } +} ); + +function sibling( cur, dir ) { + while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {} + return cur; +} + +jQuery.each( { + parent: function( elem ) { + var parent = elem.parentNode; + return parent && parent.nodeType !== 11 ? parent : null; + }, + parents: function( elem ) { + return dir( elem, "parentNode" ); + }, + parentsUntil: function( elem, _i, until ) { + return dir( elem, "parentNode", until ); + }, + next: function( elem ) { + return sibling( elem, "nextSibling" ); + }, + prev: function( elem ) { + return sibling( elem, "previousSibling" ); + }, + nextAll: function( elem ) { + return dir( elem, "nextSibling" ); + }, + prevAll: function( elem ) { + return dir( elem, "previousSibling" ); + }, + nextUntil: function( elem, _i, until ) { + return dir( elem, "nextSibling", until ); + }, + prevUntil: function( elem, _i, until ) { + return dir( elem, "previousSibling", until ); + }, + siblings: function( elem ) { + return siblings( ( elem.parentNode || {} ).firstChild, elem ); + }, + children: function( elem ) { + return siblings( elem.firstChild ); + }, + contents: function( elem ) { + if ( elem.contentDocument != null && + + // Support: IE 11+ + // elements with no `data` attribute has an object + // `contentDocument` with a `null` prototype. + getProto( elem.contentDocument ) ) { + + return elem.contentDocument; + } + + // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only + // Treat the template element as a regular one in browsers that + // don't support it. + if ( nodeName( elem, "template" ) ) { + elem = elem.content || elem; + } + + return jQuery.merge( [], elem.childNodes ); + } +}, function( name, fn ) { + jQuery.fn[ name ] = function( until, selector ) { + var matched = jQuery.map( this, fn, until ); + + if ( name.slice( -5 ) !== "Until" ) { + selector = until; + } + + if ( selector && typeof selector === "string" ) { + matched = jQuery.filter( selector, matched ); + } + + if ( this.length > 1 ) { + + // Remove duplicates + if ( !guaranteedUnique[ name ] ) { + jQuery.uniqueSort( matched ); + } + + // Reverse order for parents* and prev-derivatives + if ( rparentsprev.test( name ) ) { + matched.reverse(); + } + } + + return this.pushStack( matched ); + }; +} ); +var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g ); + + + +// Convert String-formatted options into Object-formatted ones +function createOptions( options ) { + var object = {}; + jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) { + object[ flag ] = true; + } ); + return object; +} + +/* + * Create a callback list using the following parameters: + * + * options: an optional list of space-separated options that will change how + * the callback list behaves or a more traditional option object + * + * By default a callback list will act like an event callback list and can be + * "fired" multiple times. + * + * Possible options: + * + * once: will ensure the callback list can only be fired once (like a Deferred) + * + * memory: will keep track of previous values and will call any callback added + * after the list has been fired right away with the latest "memorized" + * values (like a Deferred) + * + * unique: will ensure a callback can only be added once (no duplicate in the list) + * + * stopOnFalse: interrupt callings when a callback returns false + * + */ +jQuery.Callbacks = function( options ) { + + // Convert options from String-formatted to Object-formatted if needed + // (we check in cache first) + options = typeof options === "string" ? + createOptions( options ) : + jQuery.extend( {}, options ); + + var // Flag to know if list is currently firing + firing, + + // Last fire value for non-forgettable lists + memory, + + // Flag to know if list was already fired + fired, + + // Flag to prevent firing + locked, + + // Actual callback list + list = [], + + // Queue of execution data for repeatable lists + queue = [], + + // Index of currently firing callback (modified by add/remove as needed) + firingIndex = -1, + + // Fire callbacks + fire = function() { + + // Enforce single-firing + locked = locked || options.once; + + // Execute callbacks for all pending executions, + // respecting firingIndex overrides and runtime changes + fired = firing = true; + for ( ; queue.length; firingIndex = -1 ) { + memory = queue.shift(); + while ( ++firingIndex < list.length ) { + + // Run callback and check for early termination + if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false && + options.stopOnFalse ) { + + // Jump to end and forget the data so .add doesn't re-fire + firingIndex = list.length; + memory = false; + } + } + } + + // Forget the data if we're done with it + if ( !options.memory ) { + memory = false; + } + + firing = false; + + // Clean up if we're done firing for good + if ( locked ) { + + // Keep an empty list if we have data for future add calls + if ( memory ) { + list = []; + + // Otherwise, this object is spent + } else { + list = ""; + } + } + }, + + // Actual Callbacks object + self = { + + // Add a callback or a collection of callbacks to the list + add: function() { + if ( list ) { + + // If we have memory from a past run, we should fire after adding + if ( memory && !firing ) { + firingIndex = list.length - 1; + queue.push( memory ); + } + + ( function add( args ) { + jQuery.each( args, function( _, arg ) { + if ( isFunction( arg ) ) { + if ( !options.unique || !self.has( arg ) ) { + list.push( arg ); + } + } else if ( arg && arg.length && toType( arg ) !== "string" ) { + + // Inspect recursively + add( arg ); + } + } ); + } )( arguments ); + + if ( memory && !firing ) { + fire(); + } + } + return this; + }, + + // Remove a callback from the list + remove: function() { + jQuery.each( arguments, function( _, arg ) { + var index; + while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { + list.splice( index, 1 ); + + // Handle firing indexes + if ( index <= firingIndex ) { + firingIndex--; + } + } + } ); + return this; + }, + + // Check if a given callback is in the list. + // If no argument is given, return whether or not list has callbacks attached. + has: function( fn ) { + return fn ? + jQuery.inArray( fn, list ) > -1 : + list.length > 0; + }, + + // Remove all callbacks from the list + empty: function() { + if ( list ) { + list = []; + } + return this; + }, + + // Disable .fire and .add + // Abort any current/pending executions + // Clear all callbacks and values + disable: function() { + locked = queue = []; + list = memory = ""; + return this; + }, + disabled: function() { + return !list; + }, + + // Disable .fire + // Also disable .add unless we have memory (since it would have no effect) + // Abort any pending executions + lock: function() { + locked = queue = []; + if ( !memory && !firing ) { + list = memory = ""; + } + return this; + }, + locked: function() { + return !!locked; + }, + + // Call all callbacks with the given context and arguments + fireWith: function( context, args ) { + if ( !locked ) { + args = args || []; + args = [ context, args.slice ? args.slice() : args ]; + queue.push( args ); + if ( !firing ) { + fire(); + } + } + return this; + }, + + // Call all the callbacks with the given arguments + fire: function() { + self.fireWith( this, arguments ); + return this; + }, + + // To know if the callbacks have already been called at least once + fired: function() { + return !!fired; + } + }; + + return self; +}; + + +function Identity( v ) { + return v; +} +function Thrower( ex ) { + throw ex; +} + +function adoptValue( value, resolve, reject, noValue ) { + var method; + + try { + + // Check for promise aspect first to privilege synchronous behavior + if ( value && isFunction( ( method = value.promise ) ) ) { + method.call( value ).done( resolve ).fail( reject ); + + // Other thenables + } else if ( value && isFunction( ( method = value.then ) ) ) { + method.call( value, resolve, reject ); + + // Other non-thenables + } else { + + // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer: + // * false: [ value ].slice( 0 ) => resolve( value ) + // * true: [ value ].slice( 1 ) => resolve() + resolve.apply( undefined, [ value ].slice( noValue ) ); + } + + // For Promises/A+, convert exceptions into rejections + // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in + // Deferred#then to conditionally suppress rejection. + } catch ( value ) { + + // Support: Android 4.0 only + // Strict mode functions invoked without .call/.apply get global-object context + reject.apply( undefined, [ value ] ); + } +} + +jQuery.extend( { + + Deferred: function( func ) { + var tuples = [ + + // action, add listener, callbacks, + // ... .then handlers, argument index, [final state] + [ "notify", "progress", jQuery.Callbacks( "memory" ), + jQuery.Callbacks( "memory" ), 2 ], + [ "resolve", "done", jQuery.Callbacks( "once memory" ), + jQuery.Callbacks( "once memory" ), 0, "resolved" ], + [ "reject", "fail", jQuery.Callbacks( "once memory" ), + jQuery.Callbacks( "once memory" ), 1, "rejected" ] + ], + state = "pending", + promise = { + state: function() { + return state; + }, + always: function() { + deferred.done( arguments ).fail( arguments ); + return this; + }, + "catch": function( fn ) { + return promise.then( null, fn ); + }, + + // Keep pipe for back-compat + pipe: function( /* fnDone, fnFail, fnProgress */ ) { + var fns = arguments; + + return jQuery.Deferred( function( newDefer ) { + jQuery.each( tuples, function( _i, tuple ) { + + // Map tuples (progress, done, fail) to arguments (done, fail, progress) + var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; + + // deferred.progress(function() { bind to newDefer or newDefer.notify }) + // deferred.done(function() { bind to newDefer or newDefer.resolve }) + // deferred.fail(function() { bind to newDefer or newDefer.reject }) + deferred[ tuple[ 1 ] ]( function() { + var returned = fn && fn.apply( this, arguments ); + if ( returned && isFunction( returned.promise ) ) { + returned.promise() + .progress( newDefer.notify ) + .done( newDefer.resolve ) + .fail( newDefer.reject ); + } else { + newDefer[ tuple[ 0 ] + "With" ]( + this, + fn ? [ returned ] : arguments + ); + } + } ); + } ); + fns = null; + } ).promise(); + }, + then: function( onFulfilled, onRejected, onProgress ) { + var maxDepth = 0; + function resolve( depth, deferred, handler, special ) { + return function() { + var that = this, + args = arguments, + mightThrow = function() { + var returned, then; + + // Support: Promises/A+ section 2.3.3.3.3 + // https://promisesaplus.com/#point-59 + // Ignore double-resolution attempts + if ( depth < maxDepth ) { + return; + } + + returned = handler.apply( that, args ); + + // Support: Promises/A+ section 2.3.1 + // https://promisesaplus.com/#point-48 + if ( returned === deferred.promise() ) { + throw new TypeError( "Thenable self-resolution" ); + } + + // Support: Promises/A+ sections 2.3.3.1, 3.5 + // https://promisesaplus.com/#point-54 + // https://promisesaplus.com/#point-75 + // Retrieve `then` only once + then = returned && + + // Support: Promises/A+ section 2.3.4 + // https://promisesaplus.com/#point-64 + // Only check objects and functions for thenability + ( typeof returned === "object" || + typeof returned === "function" ) && + returned.then; + + // Handle a returned thenable + if ( isFunction( then ) ) { + + // Special processors (notify) just wait for resolution + if ( special ) { + then.call( + returned, + resolve( maxDepth, deferred, Identity, special ), + resolve( maxDepth, deferred, Thrower, special ) + ); + + // Normal processors (resolve) also hook into progress + } else { + + // ...and disregard older resolution values + maxDepth++; + + then.call( + returned, + resolve( maxDepth, deferred, Identity, special ), + resolve( maxDepth, deferred, Thrower, special ), + resolve( maxDepth, deferred, Identity, + deferred.notifyWith ) + ); + } + + // Handle all other returned values + } else { + + // Only substitute handlers pass on context + // and multiple values (non-spec behavior) + if ( handler !== Identity ) { + that = undefined; + args = [ returned ]; + } + + // Process the value(s) + // Default process is resolve + ( special || deferred.resolveWith )( that, args ); + } + }, + + // Only normal processors (resolve) catch and reject exceptions + process = special ? + mightThrow : + function() { + try { + mightThrow(); + } catch ( e ) { + + if ( jQuery.Deferred.exceptionHook ) { + jQuery.Deferred.exceptionHook( e, + process.stackTrace ); + } + + // Support: Promises/A+ section 2.3.3.3.4.1 + // https://promisesaplus.com/#point-61 + // Ignore post-resolution exceptions + if ( depth + 1 >= maxDepth ) { + + // Only substitute handlers pass on context + // and multiple values (non-spec behavior) + if ( handler !== Thrower ) { + that = undefined; + args = [ e ]; + } + + deferred.rejectWith( that, args ); + } + } + }; + + // Support: Promises/A+ section 2.3.3.3.1 + // https://promisesaplus.com/#point-57 + // Re-resolve promises immediately to dodge false rejection from + // subsequent errors + if ( depth ) { + process(); + } else { + + // Call an optional hook to record the stack, in case of exception + // since it's otherwise lost when execution goes async + if ( jQuery.Deferred.getStackHook ) { + process.stackTrace = jQuery.Deferred.getStackHook(); + } + window.setTimeout( process ); + } + }; + } + + return jQuery.Deferred( function( newDefer ) { + + // progress_handlers.add( ... ) + tuples[ 0 ][ 3 ].add( + resolve( + 0, + newDefer, + isFunction( onProgress ) ? + onProgress : + Identity, + newDefer.notifyWith + ) + ); + + // fulfilled_handlers.add( ... ) + tuples[ 1 ][ 3 ].add( + resolve( + 0, + newDefer, + isFunction( onFulfilled ) ? + onFulfilled : + Identity + ) + ); + + // rejected_handlers.add( ... ) + tuples[ 2 ][ 3 ].add( + resolve( + 0, + newDefer, + isFunction( onRejected ) ? + onRejected : + Thrower + ) + ); + } ).promise(); + }, + + // Get a promise for this deferred + // If obj is provided, the promise aspect is added to the object + promise: function( obj ) { + return obj != null ? jQuery.extend( obj, promise ) : promise; + } + }, + deferred = {}; + + // Add list-specific methods + jQuery.each( tuples, function( i, tuple ) { + var list = tuple[ 2 ], + stateString = tuple[ 5 ]; + + // promise.progress = list.add + // promise.done = list.add + // promise.fail = list.add + promise[ tuple[ 1 ] ] = list.add; + + // Handle state + if ( stateString ) { + list.add( + function() { + + // state = "resolved" (i.e., fulfilled) + // state = "rejected" + state = stateString; + }, + + // rejected_callbacks.disable + // fulfilled_callbacks.disable + tuples[ 3 - i ][ 2 ].disable, + + // rejected_handlers.disable + // fulfilled_handlers.disable + tuples[ 3 - i ][ 3 ].disable, + + // progress_callbacks.lock + tuples[ 0 ][ 2 ].lock, + + // progress_handlers.lock + tuples[ 0 ][ 3 ].lock + ); + } + + // progress_handlers.fire + // fulfilled_handlers.fire + // rejected_handlers.fire + list.add( tuple[ 3 ].fire ); + + // deferred.notify = function() { deferred.notifyWith(...) } + // deferred.resolve = function() { deferred.resolveWith(...) } + // deferred.reject = function() { deferred.rejectWith(...) } + deferred[ tuple[ 0 ] ] = function() { + deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments ); + return this; + }; + + // deferred.notifyWith = list.fireWith + // deferred.resolveWith = list.fireWith + // deferred.rejectWith = list.fireWith + deferred[ tuple[ 0 ] + "With" ] = list.fireWith; + } ); + + // Make the deferred a promise + promise.promise( deferred ); + + // Call given func if any + if ( func ) { + func.call( deferred, deferred ); + } + + // All done! + return deferred; + }, + + // Deferred helper + when: function( singleValue ) { + var + + // count of uncompleted subordinates + remaining = arguments.length, + + // count of unprocessed arguments + i = remaining, + + // subordinate fulfillment data + resolveContexts = Array( i ), + resolveValues = slice.call( arguments ), + + // the master Deferred + master = jQuery.Deferred(), + + // subordinate callback factory + updateFunc = function( i ) { + return function( value ) { + resolveContexts[ i ] = this; + resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; + if ( !( --remaining ) ) { + master.resolveWith( resolveContexts, resolveValues ); + } + }; + }; + + // Single- and empty arguments are adopted like Promise.resolve + if ( remaining <= 1 ) { + adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject, + !remaining ); + + // Use .then() to unwrap secondary thenables (cf. gh-3000) + if ( master.state() === "pending" || + isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { + + return master.then(); + } + } + + // Multiple arguments are aggregated like Promise.all array elements + while ( i-- ) { + adoptValue( resolveValues[ i ], updateFunc( i ), master.reject ); + } + + return master.promise(); + } +} ); + + +// These usually indicate a programmer mistake during development, +// warn about them ASAP rather than swallowing them by default. +var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/; + +jQuery.Deferred.exceptionHook = function( error, stack ) { + + // Support: IE 8 - 9 only + // Console exists when dev tools are open, which can happen at any time + if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) { + window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack ); + } +}; + + + + +jQuery.readyException = function( error ) { + window.setTimeout( function() { + throw error; + } ); +}; + + + + +// The deferred used on DOM ready +var readyList = jQuery.Deferred(); + +jQuery.fn.ready = function( fn ) { + + readyList + .then( fn ) + + // Wrap jQuery.readyException in a function so that the lookup + // happens at the time of error handling instead of callback + // registration. + .catch( function( error ) { + jQuery.readyException( error ); + } ); + + return this; +}; + +jQuery.extend( { + + // Is the DOM ready to be used? Set to true once it occurs. + isReady: false, + + // A counter to track how many items to wait for before + // the ready event fires. See #6781 + readyWait: 1, + + // Handle when the DOM is ready + ready: function( wait ) { + + // Abort if there are pending holds or we're already ready + if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { + return; + } + + // Remember that the DOM is ready + jQuery.isReady = true; + + // If a normal DOM Ready event fired, decrement, and wait if need be + if ( wait !== true && --jQuery.readyWait > 0 ) { + return; + } + + // If there are functions bound, to execute + readyList.resolveWith( document, [ jQuery ] ); + } +} ); + +jQuery.ready.then = readyList.then; + +// The ready event handler and self cleanup method +function completed() { + document.removeEventListener( "DOMContentLoaded", completed ); + window.removeEventListener( "load", completed ); + jQuery.ready(); +} + +// Catch cases where $(document).ready() is called +// after the browser event has already occurred. +// Support: IE <=9 - 10 only +// Older IE sometimes signals "interactive" too soon +if ( document.readyState === "complete" || + ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) { + + // Handle it asynchronously to allow scripts the opportunity to delay ready + window.setTimeout( jQuery.ready ); + +} else { + + // Use the handy event callback + document.addEventListener( "DOMContentLoaded", completed ); + + // A fallback to window.onload, that will always work + window.addEventListener( "load", completed ); +} + + + + +// Multifunctional method to get and set values of a collection +// The value/s can optionally be executed if it's a function +var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { + var i = 0, + len = elems.length, + bulk = key == null; + + // Sets many values + if ( toType( key ) === "object" ) { + chainable = true; + for ( i in key ) { + access( elems, fn, i, key[ i ], true, emptyGet, raw ); + } + + // Sets one value + } else if ( value !== undefined ) { + chainable = true; + + if ( !isFunction( value ) ) { + raw = true; + } + + if ( bulk ) { + + // Bulk operations run against the entire set + if ( raw ) { + fn.call( elems, value ); + fn = null; + + // ...except when executing function values + } else { + bulk = fn; + fn = function( elem, _key, value ) { + return bulk.call( jQuery( elem ), value ); + }; + } + } + + if ( fn ) { + for ( ; i < len; i++ ) { + fn( + elems[ i ], key, raw ? + value : + value.call( elems[ i ], i, fn( elems[ i ], key ) ) + ); + } + } + } + + if ( chainable ) { + return elems; + } + + // Gets + if ( bulk ) { + return fn.call( elems ); + } + + return len ? fn( elems[ 0 ], key ) : emptyGet; +}; + + +// Matches dashed string for camelizing +var rmsPrefix = /^-ms-/, + rdashAlpha = /-([a-z])/g; + +// Used by camelCase as callback to replace() +function fcamelCase( _all, letter ) { + return letter.toUpperCase(); +} + +// Convert dashed to camelCase; used by the css and data modules +// Support: IE <=9 - 11, Edge 12 - 15 +// Microsoft forgot to hump their vendor prefix (#9572) +function camelCase( string ) { + return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); +} +var acceptData = function( owner ) { + + // Accepts only: + // - Node + // - Node.ELEMENT_NODE + // - Node.DOCUMENT_NODE + // - Object + // - Any + return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType ); +}; + + + + +function Data() { + this.expando = jQuery.expando + Data.uid++; +} + +Data.uid = 1; + +Data.prototype = { + + cache: function( owner ) { + + // Check if the owner object already has a cache + var value = owner[ this.expando ]; + + // If not, create one + if ( !value ) { + value = {}; + + // We can accept data for non-element nodes in modern browsers, + // but we should not, see #8335. + // Always return an empty object. + if ( acceptData( owner ) ) { + + // If it is a node unlikely to be stringify-ed or looped over + // use plain assignment + if ( owner.nodeType ) { + owner[ this.expando ] = value; + + // Otherwise secure it in a non-enumerable property + // configurable must be true to allow the property to be + // deleted when data is removed + } else { + Object.defineProperty( owner, this.expando, { + value: value, + configurable: true + } ); + } + } + } + + return value; + }, + set: function( owner, data, value ) { + var prop, + cache = this.cache( owner ); + + // Handle: [ owner, key, value ] args + // Always use camelCase key (gh-2257) + if ( typeof data === "string" ) { + cache[ camelCase( data ) ] = value; + + // Handle: [ owner, { properties } ] args + } else { + + // Copy the properties one-by-one to the cache object + for ( prop in data ) { + cache[ camelCase( prop ) ] = data[ prop ]; + } + } + return cache; + }, + get: function( owner, key ) { + return key === undefined ? + this.cache( owner ) : + + // Always use camelCase key (gh-2257) + owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ]; + }, + access: function( owner, key, value ) { + + // In cases where either: + // + // 1. No key was specified + // 2. A string key was specified, but no value provided + // + // Take the "read" path and allow the get method to determine + // which value to return, respectively either: + // + // 1. The entire cache object + // 2. The data stored at the key + // + if ( key === undefined || + ( ( key && typeof key === "string" ) && value === undefined ) ) { + + return this.get( owner, key ); + } + + // When the key is not a string, or both a key and value + // are specified, set or extend (existing objects) with either: + // + // 1. An object of properties + // 2. A key and value + // + this.set( owner, key, value ); + + // Since the "set" path can have two possible entry points + // return the expected data based on which path was taken[*] + return value !== undefined ? value : key; + }, + remove: function( owner, key ) { + var i, + cache = owner[ this.expando ]; + + if ( cache === undefined ) { + return; + } + + if ( key !== undefined ) { + + // Support array or space separated string of keys + if ( Array.isArray( key ) ) { + + // If key is an array of keys... + // We always set camelCase keys, so remove that. + key = key.map( camelCase ); + } else { + key = camelCase( key ); + + // If a key with the spaces exists, use it. + // Otherwise, create an array by matching non-whitespace + key = key in cache ? + [ key ] : + ( key.match( rnothtmlwhite ) || [] ); + } + + i = key.length; + + while ( i-- ) { + delete cache[ key[ i ] ]; + } + } + + // Remove the expando if there's no more data + if ( key === undefined || jQuery.isEmptyObject( cache ) ) { + + // Support: Chrome <=35 - 45 + // Webkit & Blink performance suffers when deleting properties + // from DOM nodes, so set to undefined instead + // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted) + if ( owner.nodeType ) { + owner[ this.expando ] = undefined; + } else { + delete owner[ this.expando ]; + } + } + }, + hasData: function( owner ) { + var cache = owner[ this.expando ]; + return cache !== undefined && !jQuery.isEmptyObject( cache ); + } +}; +var dataPriv = new Data(); + +var dataUser = new Data(); + + + +// Implementation Summary +// +// 1. Enforce API surface and semantic compatibility with 1.9.x branch +// 2. Improve the module's maintainability by reducing the storage +// paths to a single mechanism. +// 3. Use the same single mechanism to support "private" and "user" data. +// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) +// 5. Avoid exposing implementation details on user objects (eg. expando properties) +// 6. Provide a clear path for implementation upgrade to WeakMap in 2014 + +var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, + rmultiDash = /[A-Z]/g; + +function getData( data ) { + if ( data === "true" ) { + return true; + } + + if ( data === "false" ) { + return false; + } + + if ( data === "null" ) { + return null; + } + + // Only convert to a number if it doesn't change the string + if ( data === +data + "" ) { + return +data; + } + + if ( rbrace.test( data ) ) { + return JSON.parse( data ); + } + + return data; +} + +function dataAttr( elem, key, data ) { + var name; + + // If nothing was found internally, try to fetch any + // data from the HTML5 data-* attribute + if ( data === undefined && elem.nodeType === 1 ) { + name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase(); + data = elem.getAttribute( name ); + + if ( typeof data === "string" ) { + try { + data = getData( data ); + } catch ( e ) {} + + // Make sure we set the data so it isn't changed later + dataUser.set( elem, key, data ); + } else { + data = undefined; + } + } + return data; +} + +jQuery.extend( { + hasData: function( elem ) { + return dataUser.hasData( elem ) || dataPriv.hasData( elem ); + }, + + data: function( elem, name, data ) { + return dataUser.access( elem, name, data ); + }, + + removeData: function( elem, name ) { + dataUser.remove( elem, name ); + }, + + // TODO: Now that all calls to _data and _removeData have been replaced + // with direct calls to dataPriv methods, these can be deprecated. + _data: function( elem, name, data ) { + return dataPriv.access( elem, name, data ); + }, + + _removeData: function( elem, name ) { + dataPriv.remove( elem, name ); + } +} ); + +jQuery.fn.extend( { + data: function( key, value ) { + var i, name, data, + elem = this[ 0 ], + attrs = elem && elem.attributes; + + // Gets all values + if ( key === undefined ) { + if ( this.length ) { + data = dataUser.get( elem ); + + if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) { + i = attrs.length; + while ( i-- ) { + + // Support: IE 11 only + // The attrs elements can be null (#14894) + if ( attrs[ i ] ) { + name = attrs[ i ].name; + if ( name.indexOf( "data-" ) === 0 ) { + name = camelCase( name.slice( 5 ) ); + dataAttr( elem, name, data[ name ] ); + } + } + } + dataPriv.set( elem, "hasDataAttrs", true ); + } + } + + return data; + } + + // Sets multiple values + if ( typeof key === "object" ) { + return this.each( function() { + dataUser.set( this, key ); + } ); + } + + return access( this, function( value ) { + var data; + + // The calling jQuery object (element matches) is not empty + // (and therefore has an element appears at this[ 0 ]) and the + // `value` parameter was not undefined. An empty jQuery object + // will result in `undefined` for elem = this[ 0 ] which will + // throw an exception if an attempt to read a data cache is made. + if ( elem && value === undefined ) { + + // Attempt to get data from the cache + // The key will always be camelCased in Data + data = dataUser.get( elem, key ); + if ( data !== undefined ) { + return data; + } + + // Attempt to "discover" the data in + // HTML5 custom data-* attrs + data = dataAttr( elem, key ); + if ( data !== undefined ) { + return data; + } + + // We tried really hard, but the data doesn't exist. + return; + } + + // Set the data... + this.each( function() { + + // We always store the camelCased key + dataUser.set( this, key, value ); + } ); + }, null, value, arguments.length > 1, null, true ); + }, + + removeData: function( key ) { + return this.each( function() { + dataUser.remove( this, key ); + } ); + } +} ); + + +jQuery.extend( { + queue: function( elem, type, data ) { + var queue; + + if ( elem ) { + type = ( type || "fx" ) + "queue"; + queue = dataPriv.get( elem, type ); + + // Speed up dequeue by getting out quickly if this is just a lookup + if ( data ) { + if ( !queue || Array.isArray( data ) ) { + queue = dataPriv.access( elem, type, jQuery.makeArray( data ) ); + } else { + queue.push( data ); + } + } + return queue || []; + } + }, + + dequeue: function( elem, type ) { + type = type || "fx"; + + var queue = jQuery.queue( elem, type ), + startLength = queue.length, + fn = queue.shift(), + hooks = jQuery._queueHooks( elem, type ), + next = function() { + jQuery.dequeue( elem, type ); + }; + + // If the fx queue is dequeued, always remove the progress sentinel + if ( fn === "inprogress" ) { + fn = queue.shift(); + startLength--; + } + + if ( fn ) { + + // Add a progress sentinel to prevent the fx queue from being + // automatically dequeued + if ( type === "fx" ) { + queue.unshift( "inprogress" ); + } + + // Clear up the last queue stop function + delete hooks.stop; + fn.call( elem, next, hooks ); + } + + if ( !startLength && hooks ) { + hooks.empty.fire(); + } + }, + + // Not public - generate a queueHooks object, or return the current one + _queueHooks: function( elem, type ) { + var key = type + "queueHooks"; + return dataPriv.get( elem, key ) || dataPriv.access( elem, key, { + empty: jQuery.Callbacks( "once memory" ).add( function() { + dataPriv.remove( elem, [ type + "queue", key ] ); + } ) + } ); + } +} ); + +jQuery.fn.extend( { + queue: function( type, data ) { + var setter = 2; + + if ( typeof type !== "string" ) { + data = type; + type = "fx"; + setter--; + } + + if ( arguments.length < setter ) { + return jQuery.queue( this[ 0 ], type ); + } + + return data === undefined ? + this : + this.each( function() { + var queue = jQuery.queue( this, type, data ); + + // Ensure a hooks for this queue + jQuery._queueHooks( this, type ); + + if ( type === "fx" && queue[ 0 ] !== "inprogress" ) { + jQuery.dequeue( this, type ); + } + } ); + }, + dequeue: function( type ) { + return this.each( function() { + jQuery.dequeue( this, type ); + } ); + }, + clearQueue: function( type ) { + return this.queue( type || "fx", [] ); + }, + + // Get a promise resolved when queues of a certain type + // are emptied (fx is the type by default) + promise: function( type, obj ) { + var tmp, + count = 1, + defer = jQuery.Deferred(), + elements = this, + i = this.length, + resolve = function() { + if ( !( --count ) ) { + defer.resolveWith( elements, [ elements ] ); + } + }; + + if ( typeof type !== "string" ) { + obj = type; + type = undefined; + } + type = type || "fx"; + + while ( i-- ) { + tmp = dataPriv.get( elements[ i ], type + "queueHooks" ); + if ( tmp && tmp.empty ) { + count++; + tmp.empty.add( resolve ); + } + } + resolve(); + return defer.promise( obj ); + } +} ); +var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source; + +var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ); + + +var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; + +var documentElement = document.documentElement; + + + + var isAttached = function( elem ) { + return jQuery.contains( elem.ownerDocument, elem ); + }, + composed = { composed: true }; + + // Support: IE 9 - 11+, Edge 12 - 18+, iOS 10.0 - 10.2 only + // Check attachment across shadow DOM boundaries when possible (gh-3504) + // Support: iOS 10.0-10.2 only + // Early iOS 10 versions support `attachShadow` but not `getRootNode`, + // leading to errors. We need to check for `getRootNode`. + if ( documentElement.getRootNode ) { + isAttached = function( elem ) { + return jQuery.contains( elem.ownerDocument, elem ) || + elem.getRootNode( composed ) === elem.ownerDocument; + }; + } +var isHiddenWithinTree = function( elem, el ) { + + // isHiddenWithinTree might be called from jQuery#filter function; + // in that case, element will be second argument + elem = el || elem; + + // Inline style trumps all + return elem.style.display === "none" || + elem.style.display === "" && + + // Otherwise, check computed style + // Support: Firefox <=43 - 45 + // Disconnected elements can have computed display: none, so first confirm that elem is + // in the document. + isAttached( elem ) && + + jQuery.css( elem, "display" ) === "none"; + }; + + + +function adjustCSS( elem, prop, valueParts, tween ) { + var adjusted, scale, + maxIterations = 20, + currentValue = tween ? + function() { + return tween.cur(); + } : + function() { + return jQuery.css( elem, prop, "" ); + }, + initial = currentValue(), + unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ), + + // Starting value computation is required for potential unit mismatches + initialInUnit = elem.nodeType && + ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) && + rcssNum.exec( jQuery.css( elem, prop ) ); + + if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { + + // Support: Firefox <=54 + // Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144) + initial = initial / 2; + + // Trust units reported by jQuery.css + unit = unit || initialInUnit[ 3 ]; + + // Iteratively approximate from a nonzero starting point + initialInUnit = +initial || 1; + + while ( maxIterations-- ) { + + // Evaluate and update our best guess (doubling guesses that zero out). + // Finish if the scale equals or crosses 1 (making the old*new product non-positive). + jQuery.style( elem, prop, initialInUnit + unit ); + if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) { + maxIterations = 0; + } + initialInUnit = initialInUnit / scale; + + } + + initialInUnit = initialInUnit * 2; + jQuery.style( elem, prop, initialInUnit + unit ); + + // Make sure we update the tween properties later on + valueParts = valueParts || []; + } + + if ( valueParts ) { + initialInUnit = +initialInUnit || +initial || 0; + + // Apply relative offset (+=/-=) if specified + adjusted = valueParts[ 1 ] ? + initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] : + +valueParts[ 2 ]; + if ( tween ) { + tween.unit = unit; + tween.start = initialInUnit; + tween.end = adjusted; + } + } + return adjusted; +} + + +var defaultDisplayMap = {}; + +function getDefaultDisplay( elem ) { + var temp, + doc = elem.ownerDocument, + nodeName = elem.nodeName, + display = defaultDisplayMap[ nodeName ]; + + if ( display ) { + return display; + } + + temp = doc.body.appendChild( doc.createElement( nodeName ) ); + display = jQuery.css( temp, "display" ); + + temp.parentNode.removeChild( temp ); + + if ( display === "none" ) { + display = "block"; + } + defaultDisplayMap[ nodeName ] = display; + + return display; +} + +function showHide( elements, show ) { + var display, elem, + values = [], + index = 0, + length = elements.length; + + // Determine new display value for elements that need to change + for ( ; index < length; index++ ) { + elem = elements[ index ]; + if ( !elem.style ) { + continue; + } + + display = elem.style.display; + if ( show ) { + + // Since we force visibility upon cascade-hidden elements, an immediate (and slow) + // check is required in this first loop unless we have a nonempty display value (either + // inline or about-to-be-restored) + if ( display === "none" ) { + values[ index ] = dataPriv.get( elem, "display" ) || null; + if ( !values[ index ] ) { + elem.style.display = ""; + } + } + if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) { + values[ index ] = getDefaultDisplay( elem ); + } + } else { + if ( display !== "none" ) { + values[ index ] = "none"; + + // Remember what we're overwriting + dataPriv.set( elem, "display", display ); + } + } + } + + // Set the display of the elements in a second loop to avoid constant reflow + for ( index = 0; index < length; index++ ) { + if ( values[ index ] != null ) { + elements[ index ].style.display = values[ index ]; + } + } + + return elements; +} + +jQuery.fn.extend( { + show: function() { + return showHide( this, true ); + }, + hide: function() { + return showHide( this ); + }, + toggle: function( state ) { + if ( typeof state === "boolean" ) { + return state ? this.show() : this.hide(); + } + + return this.each( function() { + if ( isHiddenWithinTree( this ) ) { + jQuery( this ).show(); + } else { + jQuery( this ).hide(); + } + } ); + } +} ); +var rcheckableType = ( /^(?:checkbox|radio)$/i ); + +var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]*)/i ); + +var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i ); + + + +( function() { + var fragment = document.createDocumentFragment(), + div = fragment.appendChild( document.createElement( "div" ) ), + input = document.createElement( "input" ); + + // Support: Android 4.0 - 4.3 only + // Check state lost if the name is set (#11217) + // Support: Windows Web Apps (WWA) + // `name` and `type` must use .setAttribute for WWA (#14901) + input.setAttribute( "type", "radio" ); + input.setAttribute( "checked", "checked" ); + input.setAttribute( "name", "t" ); + + div.appendChild( input ); + + // Support: Android <=4.1 only + // Older WebKit doesn't clone checked state correctly in fragments + support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; + + // Support: IE <=11 only + // Make sure textarea (and checkbox) defaultValue is properly cloned + div.innerHTML = ""; + support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; + + // Support: IE <=9 only + // IE <=9 replaces "; + support.option = !!div.lastChild; +} )(); + + +// We have to close these tags to support XHTML (#13200) +var wrapMap = { + + // XHTML parsers do not magically insert elements in the + // same way that tag soup parsers do. So we cannot shorten + // this by omitting or other required elements. + thead: [ 1, "", "
" ], + col: [ 2, "", "
" ], + tr: [ 2, "", "
" ], + td: [ 3, "", "
" ], + + _default: [ 0, "", "" ] +}; + +wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; +wrapMap.th = wrapMap.td; + +// Support: IE <=9 only +if ( !support.option ) { + wrapMap.optgroup = wrapMap.option = [ 1, "" ]; +} + + +function getAll( context, tag ) { + + // Support: IE <=9 - 11 only + // Use typeof to avoid zero-argument method invocation on host objects (#15151) + var ret; + + if ( typeof context.getElementsByTagName !== "undefined" ) { + ret = context.getElementsByTagName( tag || "*" ); + + } else if ( typeof context.querySelectorAll !== "undefined" ) { + ret = context.querySelectorAll( tag || "*" ); + + } else { + ret = []; + } + + if ( tag === undefined || tag && nodeName( context, tag ) ) { + return jQuery.merge( [ context ], ret ); + } + + return ret; +} + + +// Mark scripts as having already been evaluated +function setGlobalEval( elems, refElements ) { + var i = 0, + l = elems.length; + + for ( ; i < l; i++ ) { + dataPriv.set( + elems[ i ], + "globalEval", + !refElements || dataPriv.get( refElements[ i ], "globalEval" ) + ); + } +} + + +var rhtml = /<|&#?\w+;/; + +function buildFragment( elems, context, scripts, selection, ignored ) { + var elem, tmp, tag, wrap, attached, j, + fragment = context.createDocumentFragment(), + nodes = [], + i = 0, + l = elems.length; + + for ( ; i < l; i++ ) { + elem = elems[ i ]; + + if ( elem || elem === 0 ) { + + // Add nodes directly + if ( toType( elem ) === "object" ) { + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); + + // Convert non-html into a text node + } else if ( !rhtml.test( elem ) ) { + nodes.push( context.createTextNode( elem ) ); + + // Convert html into DOM nodes + } else { + tmp = tmp || fragment.appendChild( context.createElement( "div" ) ); + + // Deserialize a standard representation + tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase(); + wrap = wrapMap[ tag ] || wrapMap._default; + tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ]; + + // Descend through wrappers to the right content + j = wrap[ 0 ]; + while ( j-- ) { + tmp = tmp.lastChild; + } + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( nodes, tmp.childNodes ); + + // Remember the top-level container + tmp = fragment.firstChild; + + // Ensure the created nodes are orphaned (#12392) + tmp.textContent = ""; + } + } + } + + // Remove wrapper from fragment + fragment.textContent = ""; + + i = 0; + while ( ( elem = nodes[ i++ ] ) ) { + + // Skip elements already in the context collection (trac-4087) + if ( selection && jQuery.inArray( elem, selection ) > -1 ) { + if ( ignored ) { + ignored.push( elem ); + } + continue; + } + + attached = isAttached( elem ); + + // Append to fragment + tmp = getAll( fragment.appendChild( elem ), "script" ); + + // Preserve script evaluation history + if ( attached ) { + setGlobalEval( tmp ); + } + + // Capture executables + if ( scripts ) { + j = 0; + while ( ( elem = tmp[ j++ ] ) ) { + if ( rscriptType.test( elem.type || "" ) ) { + scripts.push( elem ); + } + } + } + } + + return fragment; +} + + +var + rkeyEvent = /^key/, + rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/, + rtypenamespace = /^([^.]*)(?:\.(.+)|)/; + +function returnTrue() { + return true; +} + +function returnFalse() { + return false; +} + +// Support: IE <=9 - 11+ +// focus() and blur() are asynchronous, except when they are no-op. +// So expect focus to be synchronous when the element is already active, +// and blur to be synchronous when the element is not already active. +// (focus and blur are always synchronous in other supported browsers, +// this just defines when we can count on it). +function expectSync( elem, type ) { + return ( elem === safeActiveElement() ) === ( type === "focus" ); +} + +// Support: IE <=9 only +// Accessing document.activeElement can throw unexpectedly +// https://bugs.jquery.com/ticket/13393 +function safeActiveElement() { + try { + return document.activeElement; + } catch ( err ) { } +} + +function on( elem, types, selector, data, fn, one ) { + var origFn, type; + + // Types can be a map of types/handlers + if ( typeof types === "object" ) { + + // ( types-Object, selector, data ) + if ( typeof selector !== "string" ) { + + // ( types-Object, data ) + data = data || selector; + selector = undefined; + } + for ( type in types ) { + on( elem, type, selector, data, types[ type ], one ); + } + return elem; + } + + if ( data == null && fn == null ) { + + // ( types, fn ) + fn = selector; + data = selector = undefined; + } else if ( fn == null ) { + if ( typeof selector === "string" ) { + + // ( types, selector, fn ) + fn = data; + data = undefined; + } else { + + // ( types, data, fn ) + fn = data; + data = selector; + selector = undefined; + } + } + if ( fn === false ) { + fn = returnFalse; + } else if ( !fn ) { + return elem; + } + + if ( one === 1 ) { + origFn = fn; + fn = function( event ) { + + // Can use an empty set, since event contains the info + jQuery().off( event ); + return origFn.apply( this, arguments ); + }; + + // Use same guid so caller can remove using origFn + fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); + } + return elem.each( function() { + jQuery.event.add( this, types, fn, data, selector ); + } ); +} + +/* + * Helper functions for managing events -- not part of the public interface. + * Props to Dean Edwards' addEvent library for many of the ideas. + */ +jQuery.event = { + + global: {}, + + add: function( elem, types, handler, data, selector ) { + + var handleObjIn, eventHandle, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = dataPriv.get( elem ); + + // Only attach events to objects that accept data + if ( !acceptData( elem ) ) { + return; + } + + // Caller can pass in an object of custom data in lieu of the handler + if ( handler.handler ) { + handleObjIn = handler; + handler = handleObjIn.handler; + selector = handleObjIn.selector; + } + + // Ensure that invalid selectors throw exceptions at attach time + // Evaluate against documentElement in case elem is a non-element node (e.g., document) + if ( selector ) { + jQuery.find.matchesSelector( documentElement, selector ); + } + + // Make sure that the handler has a unique ID, used to find/remove it later + if ( !handler.guid ) { + handler.guid = jQuery.guid++; + } + + // Init the element's event structure and main handler, if this is the first + if ( !( events = elemData.events ) ) { + events = elemData.events = Object.create( null ); + } + if ( !( eventHandle = elemData.handle ) ) { + eventHandle = elemData.handle = function( e ) { + + // Discard the second event of a jQuery.event.trigger() and + // when an event is called after a page has unloaded + return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ? + jQuery.event.dispatch.apply( elem, arguments ) : undefined; + }; + } + + // Handle multiple events separated by a space + types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[ t ] ) || []; + type = origType = tmp[ 1 ]; + namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); + + // There *must* be a type, no attaching namespace-only handlers + if ( !type ) { + continue; + } + + // If event changes its type, use the special event handlers for the changed type + special = jQuery.event.special[ type ] || {}; + + // If selector defined, determine special event api type, otherwise given type + type = ( selector ? special.delegateType : special.bindType ) || type; + + // Update special based on newly reset type + special = jQuery.event.special[ type ] || {}; + + // handleObj is passed to all event handlers + handleObj = jQuery.extend( { + type: type, + origType: origType, + data: data, + handler: handler, + guid: handler.guid, + selector: selector, + needsContext: selector && jQuery.expr.match.needsContext.test( selector ), + namespace: namespaces.join( "." ) + }, handleObjIn ); + + // Init the event handler queue if we're the first + if ( !( handlers = events[ type ] ) ) { + handlers = events[ type ] = []; + handlers.delegateCount = 0; + + // Only use addEventListener if the special events handler returns false + if ( !special.setup || + special.setup.call( elem, data, namespaces, eventHandle ) === false ) { + + if ( elem.addEventListener ) { + elem.addEventListener( type, eventHandle ); + } + } + } + + if ( special.add ) { + special.add.call( elem, handleObj ); + + if ( !handleObj.handler.guid ) { + handleObj.handler.guid = handler.guid; + } + } + + // Add to the element's handler list, delegates in front + if ( selector ) { + handlers.splice( handlers.delegateCount++, 0, handleObj ); + } else { + handlers.push( handleObj ); + } + + // Keep track of which events have ever been used, for event optimization + jQuery.event.global[ type ] = true; + } + + }, + + // Detach an event or set of events from an element + remove: function( elem, types, handler, selector, mappedTypes ) { + + var j, origCount, tmp, + events, t, handleObj, + special, handlers, type, namespaces, origType, + elemData = dataPriv.hasData( elem ) && dataPriv.get( elem ); + + if ( !elemData || !( events = elemData.events ) ) { + return; + } + + // Once for each type.namespace in types; type may be omitted + types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; + t = types.length; + while ( t-- ) { + tmp = rtypenamespace.exec( types[ t ] ) || []; + type = origType = tmp[ 1 ]; + namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); + + // Unbind all events (on this namespace, if provided) for the element + if ( !type ) { + for ( type in events ) { + jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); + } + continue; + } + + special = jQuery.event.special[ type ] || {}; + type = ( selector ? special.delegateType : special.bindType ) || type; + handlers = events[ type ] || []; + tmp = tmp[ 2 ] && + new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ); + + // Remove matching events + origCount = j = handlers.length; + while ( j-- ) { + handleObj = handlers[ j ]; + + if ( ( mappedTypes || origType === handleObj.origType ) && + ( !handler || handler.guid === handleObj.guid ) && + ( !tmp || tmp.test( handleObj.namespace ) ) && + ( !selector || selector === handleObj.selector || + selector === "**" && handleObj.selector ) ) { + handlers.splice( j, 1 ); + + if ( handleObj.selector ) { + handlers.delegateCount--; + } + if ( special.remove ) { + special.remove.call( elem, handleObj ); + } + } + } + + // Remove generic event handler if we removed something and no more handlers exist + // (avoids potential for endless recursion during removal of special event handlers) + if ( origCount && !handlers.length ) { + if ( !special.teardown || + special.teardown.call( elem, namespaces, elemData.handle ) === false ) { + + jQuery.removeEvent( elem, type, elemData.handle ); + } + + delete events[ type ]; + } + } + + // Remove data and the expando if it's no longer used + if ( jQuery.isEmptyObject( events ) ) { + dataPriv.remove( elem, "handle events" ); + } + }, + + dispatch: function( nativeEvent ) { + + var i, j, ret, matched, handleObj, handlerQueue, + args = new Array( arguments.length ), + + // Make a writable jQuery.Event from the native event object + event = jQuery.event.fix( nativeEvent ), + + handlers = ( + dataPriv.get( this, "events" ) || Object.create( null ) + )[ event.type ] || [], + special = jQuery.event.special[ event.type ] || {}; + + // Use the fix-ed jQuery.Event rather than the (read-only) native event + args[ 0 ] = event; + + for ( i = 1; i < arguments.length; i++ ) { + args[ i ] = arguments[ i ]; + } + + event.delegateTarget = this; + + // Call the preDispatch hook for the mapped type, and let it bail if desired + if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { + return; + } + + // Determine handlers + handlerQueue = jQuery.event.handlers.call( this, event, handlers ); + + // Run delegates first; they may want to stop propagation beneath us + i = 0; + while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) { + event.currentTarget = matched.elem; + + j = 0; + while ( ( handleObj = matched.handlers[ j++ ] ) && + !event.isImmediatePropagationStopped() ) { + + // If the event is namespaced, then each handler is only invoked if it is + // specially universal or its namespaces are a superset of the event's. + if ( !event.rnamespace || handleObj.namespace === false || + event.rnamespace.test( handleObj.namespace ) ) { + + event.handleObj = handleObj; + event.data = handleObj.data; + + ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle || + handleObj.handler ).apply( matched.elem, args ); + + if ( ret !== undefined ) { + if ( ( event.result = ret ) === false ) { + event.preventDefault(); + event.stopPropagation(); + } + } + } + } + } + + // Call the postDispatch hook for the mapped type + if ( special.postDispatch ) { + special.postDispatch.call( this, event ); + } + + return event.result; + }, + + handlers: function( event, handlers ) { + var i, handleObj, sel, matchedHandlers, matchedSelectors, + handlerQueue = [], + delegateCount = handlers.delegateCount, + cur = event.target; + + // Find delegate handlers + if ( delegateCount && + + // Support: IE <=9 + // Black-hole SVG instance trees (trac-13180) + cur.nodeType && + + // Support: Firefox <=42 + // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861) + // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click + // Support: IE 11 only + // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343) + !( event.type === "click" && event.button >= 1 ) ) { + + for ( ; cur !== this; cur = cur.parentNode || this ) { + + // Don't check non-elements (#13208) + // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) + if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) { + matchedHandlers = []; + matchedSelectors = {}; + for ( i = 0; i < delegateCount; i++ ) { + handleObj = handlers[ i ]; + + // Don't conflict with Object.prototype properties (#13203) + sel = handleObj.selector + " "; + + if ( matchedSelectors[ sel ] === undefined ) { + matchedSelectors[ sel ] = handleObj.needsContext ? + jQuery( sel, this ).index( cur ) > -1 : + jQuery.find( sel, this, null, [ cur ] ).length; + } + if ( matchedSelectors[ sel ] ) { + matchedHandlers.push( handleObj ); + } + } + if ( matchedHandlers.length ) { + handlerQueue.push( { elem: cur, handlers: matchedHandlers } ); + } + } + } + } + + // Add the remaining (directly-bound) handlers + cur = this; + if ( delegateCount < handlers.length ) { + handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } ); + } + + return handlerQueue; + }, + + addProp: function( name, hook ) { + Object.defineProperty( jQuery.Event.prototype, name, { + enumerable: true, + configurable: true, + + get: isFunction( hook ) ? + function() { + if ( this.originalEvent ) { + return hook( this.originalEvent ); + } + } : + function() { + if ( this.originalEvent ) { + return this.originalEvent[ name ]; + } + }, + + set: function( value ) { + Object.defineProperty( this, name, { + enumerable: true, + configurable: true, + writable: true, + value: value + } ); + } + } ); + }, + + fix: function( originalEvent ) { + return originalEvent[ jQuery.expando ] ? + originalEvent : + new jQuery.Event( originalEvent ); + }, + + special: { + load: { + + // Prevent triggered image.load events from bubbling to window.load + noBubble: true + }, + click: { + + // Utilize native event to ensure correct state for checkable inputs + setup: function( data ) { + + // For mutual compressibility with _default, replace `this` access with a local var. + // `|| data` is dead code meant only to preserve the variable through minification. + var el = this || data; + + // Claim the first handler + if ( rcheckableType.test( el.type ) && + el.click && nodeName( el, "input" ) ) { + + // dataPriv.set( el, "click", ... ) + leverageNative( el, "click", returnTrue ); + } + + // Return false to allow normal processing in the caller + return false; + }, + trigger: function( data ) { + + // For mutual compressibility with _default, replace `this` access with a local var. + // `|| data` is dead code meant only to preserve the variable through minification. + var el = this || data; + + // Force setup before triggering a click + if ( rcheckableType.test( el.type ) && + el.click && nodeName( el, "input" ) ) { + + leverageNative( el, "click" ); + } + + // Return non-false to allow normal event-path propagation + return true; + }, + + // For cross-browser consistency, suppress native .click() on links + // Also prevent it if we're currently inside a leveraged native-event stack + _default: function( event ) { + var target = event.target; + return rcheckableType.test( target.type ) && + target.click && nodeName( target, "input" ) && + dataPriv.get( target, "click" ) || + nodeName( target, "a" ); + } + }, + + beforeunload: { + postDispatch: function( event ) { + + // Support: Firefox 20+ + // Firefox doesn't alert if the returnValue field is not set. + if ( event.result !== undefined && event.originalEvent ) { + event.originalEvent.returnValue = event.result; + } + } + } + } +}; + +// Ensure the presence of an event listener that handles manually-triggered +// synthetic events by interrupting progress until reinvoked in response to +// *native* events that it fires directly, ensuring that state changes have +// already occurred before other listeners are invoked. +function leverageNative( el, type, expectSync ) { + + // Missing expectSync indicates a trigger call, which must force setup through jQuery.event.add + if ( !expectSync ) { + if ( dataPriv.get( el, type ) === undefined ) { + jQuery.event.add( el, type, returnTrue ); + } + return; + } + + // Register the controller as a special universal handler for all event namespaces + dataPriv.set( el, type, false ); + jQuery.event.add( el, type, { + namespace: false, + handler: function( event ) { + var notAsync, result, + saved = dataPriv.get( this, type ); + + if ( ( event.isTrigger & 1 ) && this[ type ] ) { + + // Interrupt processing of the outer synthetic .trigger()ed event + // Saved data should be false in such cases, but might be a leftover capture object + // from an async native handler (gh-4350) + if ( !saved.length ) { + + // Store arguments for use when handling the inner native event + // There will always be at least one argument (an event object), so this array + // will not be confused with a leftover capture object. + saved = slice.call( arguments ); + dataPriv.set( this, type, saved ); + + // Trigger the native event and capture its result + // Support: IE <=9 - 11+ + // focus() and blur() are asynchronous + notAsync = expectSync( this, type ); + this[ type ](); + result = dataPriv.get( this, type ); + if ( saved !== result || notAsync ) { + dataPriv.set( this, type, false ); + } else { + result = {}; + } + if ( saved !== result ) { + + // Cancel the outer synthetic event + event.stopImmediatePropagation(); + event.preventDefault(); + return result.value; + } + + // If this is an inner synthetic event for an event with a bubbling surrogate + // (focus or blur), assume that the surrogate already propagated from triggering the + // native event and prevent that from happening again here. + // This technically gets the ordering wrong w.r.t. to `.trigger()` (in which the + // bubbling surrogate propagates *after* the non-bubbling base), but that seems + // less bad than duplication. + } else if ( ( jQuery.event.special[ type ] || {} ).delegateType ) { + event.stopPropagation(); + } + + // If this is a native event triggered above, everything is now in order + // Fire an inner synthetic event with the original arguments + } else if ( saved.length ) { + + // ...and capture the result + dataPriv.set( this, type, { + value: jQuery.event.trigger( + + // Support: IE <=9 - 11+ + // Extend with the prototype to reset the above stopImmediatePropagation() + jQuery.extend( saved[ 0 ], jQuery.Event.prototype ), + saved.slice( 1 ), + this + ) + } ); + + // Abort handling of the native event + event.stopImmediatePropagation(); + } + } + } ); +} + +jQuery.removeEvent = function( elem, type, handle ) { + + // This "if" is needed for plain objects + if ( elem.removeEventListener ) { + elem.removeEventListener( type, handle ); + } +}; + +jQuery.Event = function( src, props ) { + + // Allow instantiation without the 'new' keyword + if ( !( this instanceof jQuery.Event ) ) { + return new jQuery.Event( src, props ); + } + + // Event object + if ( src && src.type ) { + this.originalEvent = src; + this.type = src.type; + + // Events bubbling up the document may have been marked as prevented + // by a handler lower down the tree; reflect the correct value. + this.isDefaultPrevented = src.defaultPrevented || + src.defaultPrevented === undefined && + + // Support: Android <=2.3 only + src.returnValue === false ? + returnTrue : + returnFalse; + + // Create target properties + // Support: Safari <=6 - 7 only + // Target should not be a text node (#504, #13143) + this.target = ( src.target && src.target.nodeType === 3 ) ? + src.target.parentNode : + src.target; + + this.currentTarget = src.currentTarget; + this.relatedTarget = src.relatedTarget; + + // Event type + } else { + this.type = src; + } + + // Put explicitly provided properties onto the event object + if ( props ) { + jQuery.extend( this, props ); + } + + // Create a timestamp if incoming event doesn't have one + this.timeStamp = src && src.timeStamp || Date.now(); + + // Mark it as fixed + this[ jQuery.expando ] = true; +}; + +// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding +// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html +jQuery.Event.prototype = { + constructor: jQuery.Event, + isDefaultPrevented: returnFalse, + isPropagationStopped: returnFalse, + isImmediatePropagationStopped: returnFalse, + isSimulated: false, + + preventDefault: function() { + var e = this.originalEvent; + + this.isDefaultPrevented = returnTrue; + + if ( e && !this.isSimulated ) { + e.preventDefault(); + } + }, + stopPropagation: function() { + var e = this.originalEvent; + + this.isPropagationStopped = returnTrue; + + if ( e && !this.isSimulated ) { + e.stopPropagation(); + } + }, + stopImmediatePropagation: function() { + var e = this.originalEvent; + + this.isImmediatePropagationStopped = returnTrue; + + if ( e && !this.isSimulated ) { + e.stopImmediatePropagation(); + } + + this.stopPropagation(); + } +}; + +// Includes all common event props including KeyEvent and MouseEvent specific props +jQuery.each( { + altKey: true, + bubbles: true, + cancelable: true, + changedTouches: true, + ctrlKey: true, + detail: true, + eventPhase: true, + metaKey: true, + pageX: true, + pageY: true, + shiftKey: true, + view: true, + "char": true, + code: true, + charCode: true, + key: true, + keyCode: true, + button: true, + buttons: true, + clientX: true, + clientY: true, + offsetX: true, + offsetY: true, + pointerId: true, + pointerType: true, + screenX: true, + screenY: true, + targetTouches: true, + toElement: true, + touches: true, + + which: function( event ) { + var button = event.button; + + // Add which for key events + if ( event.which == null && rkeyEvent.test( event.type ) ) { + return event.charCode != null ? event.charCode : event.keyCode; + } + + // Add which for click: 1 === left; 2 === middle; 3 === right + if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) { + if ( button & 1 ) { + return 1; + } + + if ( button & 2 ) { + return 3; + } + + if ( button & 4 ) { + return 2; + } + + return 0; + } + + return event.which; + } +}, jQuery.event.addProp ); + +jQuery.each( { focus: "focusin", blur: "focusout" }, function( type, delegateType ) { + jQuery.event.special[ type ] = { + + // Utilize native event if possible so blur/focus sequence is correct + setup: function() { + + // Claim the first handler + // dataPriv.set( this, "focus", ... ) + // dataPriv.set( this, "blur", ... ) + leverageNative( this, type, expectSync ); + + // Return false to allow normal processing in the caller + return false; + }, + trigger: function() { + + // Force setup before trigger + leverageNative( this, type ); + + // Return non-false to allow normal event-path propagation + return true; + }, + + delegateType: delegateType + }; +} ); + +// Create mouseenter/leave events using mouseover/out and event-time checks +// so that event delegation works in jQuery. +// Do the same for pointerenter/pointerleave and pointerover/pointerout +// +// Support: Safari 7 only +// Safari sends mouseenter too often; see: +// https://bugs.chromium.org/p/chromium/issues/detail?id=470258 +// for the description of the bug (it existed in older Chrome versions as well). +jQuery.each( { + mouseenter: "mouseover", + mouseleave: "mouseout", + pointerenter: "pointerover", + pointerleave: "pointerout" +}, function( orig, fix ) { + jQuery.event.special[ orig ] = { + delegateType: fix, + bindType: fix, + + handle: function( event ) { + var ret, + target = this, + related = event.relatedTarget, + handleObj = event.handleObj; + + // For mouseenter/leave call the handler if related is outside the target. + // NB: No relatedTarget if the mouse left/entered the browser window + if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) { + event.type = handleObj.origType; + ret = handleObj.handler.apply( this, arguments ); + event.type = fix; + } + return ret; + } + }; +} ); + +jQuery.fn.extend( { + + on: function( types, selector, data, fn ) { + return on( this, types, selector, data, fn ); + }, + one: function( types, selector, data, fn ) { + return on( this, types, selector, data, fn, 1 ); + }, + off: function( types, selector, fn ) { + var handleObj, type; + if ( types && types.preventDefault && types.handleObj ) { + + // ( event ) dispatched jQuery.Event + handleObj = types.handleObj; + jQuery( types.delegateTarget ).off( + handleObj.namespace ? + handleObj.origType + "." + handleObj.namespace : + handleObj.origType, + handleObj.selector, + handleObj.handler + ); + return this; + } + if ( typeof types === "object" ) { + + // ( types-object [, selector] ) + for ( type in types ) { + this.off( type, selector, types[ type ] ); + } + return this; + } + if ( selector === false || typeof selector === "function" ) { + + // ( types [, fn] ) + fn = selector; + selector = undefined; + } + if ( fn === false ) { + fn = returnFalse; + } + return this.each( function() { + jQuery.event.remove( this, types, fn, selector ); + } ); + } +} ); + + +var + + // Support: IE <=10 - 11, Edge 12 - 13 only + // In IE/Edge using regex groups here causes severe slowdowns. + // See https://connect.microsoft.com/IE/feedback/details/1736512/ + rnoInnerhtml = /\s*$/g; + +// Prefer a tbody over its parent table for containing new rows +function manipulationTarget( elem, content ) { + if ( nodeName( elem, "table" ) && + nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { + + return jQuery( elem ).children( "tbody" )[ 0 ] || elem; + } + + return elem; +} + +// Replace/restore the type attribute of script elements for safe DOM manipulation +function disableScript( elem ) { + elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type; + return elem; +} +function restoreScript( elem ) { + if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) { + elem.type = elem.type.slice( 5 ); + } else { + elem.removeAttribute( "type" ); + } + + return elem; +} + +function cloneCopyEvent( src, dest ) { + var i, l, type, pdataOld, udataOld, udataCur, events; + + if ( dest.nodeType !== 1 ) { + return; + } + + // 1. Copy private data: events, handlers, etc. + if ( dataPriv.hasData( src ) ) { + pdataOld = dataPriv.get( src ); + events = pdataOld.events; + + if ( events ) { + dataPriv.remove( dest, "handle events" ); + + for ( type in events ) { + for ( i = 0, l = events[ type ].length; i < l; i++ ) { + jQuery.event.add( dest, type, events[ type ][ i ] ); + } + } + } + } + + // 2. Copy user data + if ( dataUser.hasData( src ) ) { + udataOld = dataUser.access( src ); + udataCur = jQuery.extend( {}, udataOld ); + + dataUser.set( dest, udataCur ); + } +} + +// Fix IE bugs, see support tests +function fixInput( src, dest ) { + var nodeName = dest.nodeName.toLowerCase(); + + // Fails to persist the checked state of a cloned checkbox or radio button. + if ( nodeName === "input" && rcheckableType.test( src.type ) ) { + dest.checked = src.checked; + + // Fails to return the selected option to the default selected state when cloning options + } else if ( nodeName === "input" || nodeName === "textarea" ) { + dest.defaultValue = src.defaultValue; + } +} + +function domManip( collection, args, callback, ignored ) { + + // Flatten any nested arrays + args = flat( args ); + + var fragment, first, scripts, hasScripts, node, doc, + i = 0, + l = collection.length, + iNoClone = l - 1, + value = args[ 0 ], + valueIsFunction = isFunction( value ); + + // We can't cloneNode fragments that contain checked, in WebKit + if ( valueIsFunction || + ( l > 1 && typeof value === "string" && + !support.checkClone && rchecked.test( value ) ) ) { + return collection.each( function( index ) { + var self = collection.eq( index ); + if ( valueIsFunction ) { + args[ 0 ] = value.call( this, index, self.html() ); + } + domManip( self, args, callback, ignored ); + } ); + } + + if ( l ) { + fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored ); + first = fragment.firstChild; + + if ( fragment.childNodes.length === 1 ) { + fragment = first; + } + + // Require either new content or an interest in ignored elements to invoke the callback + if ( first || ignored ) { + scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); + hasScripts = scripts.length; + + // Use the original fragment for the last item + // instead of the first because it can end up + // being emptied incorrectly in certain situations (#8070). + for ( ; i < l; i++ ) { + node = fragment; + + if ( i !== iNoClone ) { + node = jQuery.clone( node, true, true ); + + // Keep references to cloned scripts for later restoration + if ( hasScripts ) { + + // Support: Android <=4.0 only, PhantomJS 1 only + // push.apply(_, arraylike) throws on ancient WebKit + jQuery.merge( scripts, getAll( node, "script" ) ); + } + } + + callback.call( collection[ i ], node, i ); + } + + if ( hasScripts ) { + doc = scripts[ scripts.length - 1 ].ownerDocument; + + // Reenable scripts + jQuery.map( scripts, restoreScript ); + + // Evaluate executable scripts on first document insertion + for ( i = 0; i < hasScripts; i++ ) { + node = scripts[ i ]; + if ( rscriptType.test( node.type || "" ) && + !dataPriv.access( node, "globalEval" ) && + jQuery.contains( doc, node ) ) { + + if ( node.src && ( node.type || "" ).toLowerCase() !== "module" ) { + + // Optional AJAX dependency, but won't run scripts if not present + if ( jQuery._evalUrl && !node.noModule ) { + jQuery._evalUrl( node.src, { + nonce: node.nonce || node.getAttribute( "nonce" ) + }, doc ); + } + } else { + DOMEval( node.textContent.replace( rcleanScript, "" ), node, doc ); + } + } + } + } + } + } + + return collection; +} + +function remove( elem, selector, keepData ) { + var node, + nodes = selector ? jQuery.filter( selector, elem ) : elem, + i = 0; + + for ( ; ( node = nodes[ i ] ) != null; i++ ) { + if ( !keepData && node.nodeType === 1 ) { + jQuery.cleanData( getAll( node ) ); + } + + if ( node.parentNode ) { + if ( keepData && isAttached( node ) ) { + setGlobalEval( getAll( node, "script" ) ); + } + node.parentNode.removeChild( node ); + } + } + + return elem; +} + +jQuery.extend( { + htmlPrefilter: function( html ) { + return html; + }, + + clone: function( elem, dataAndEvents, deepDataAndEvents ) { + var i, l, srcElements, destElements, + clone = elem.cloneNode( true ), + inPage = isAttached( elem ); + + // Fix IE cloning issues + if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && + !jQuery.isXMLDoc( elem ) ) { + + // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2 + destElements = getAll( clone ); + srcElements = getAll( elem ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + fixInput( srcElements[ i ], destElements[ i ] ); + } + } + + // Copy the events from the original to the clone + if ( dataAndEvents ) { + if ( deepDataAndEvents ) { + srcElements = srcElements || getAll( elem ); + destElements = destElements || getAll( clone ); + + for ( i = 0, l = srcElements.length; i < l; i++ ) { + cloneCopyEvent( srcElements[ i ], destElements[ i ] ); + } + } else { + cloneCopyEvent( elem, clone ); + } + } + + // Preserve script evaluation history + destElements = getAll( clone, "script" ); + if ( destElements.length > 0 ) { + setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); + } + + // Return the cloned set + return clone; + }, + + cleanData: function( elems ) { + var data, elem, type, + special = jQuery.event.special, + i = 0; + + for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) { + if ( acceptData( elem ) ) { + if ( ( data = elem[ dataPriv.expando ] ) ) { + if ( data.events ) { + for ( type in data.events ) { + if ( special[ type ] ) { + jQuery.event.remove( elem, type ); + + // This is a shortcut to avoid jQuery.event.remove's overhead + } else { + jQuery.removeEvent( elem, type, data.handle ); + } + } + } + + // Support: Chrome <=35 - 45+ + // Assign undefined instead of using delete, see Data#remove + elem[ dataPriv.expando ] = undefined; + } + if ( elem[ dataUser.expando ] ) { + + // Support: Chrome <=35 - 45+ + // Assign undefined instead of using delete, see Data#remove + elem[ dataUser.expando ] = undefined; + } + } + } + } +} ); + +jQuery.fn.extend( { + detach: function( selector ) { + return remove( this, selector, true ); + }, + + remove: function( selector ) { + return remove( this, selector ); + }, + + text: function( value ) { + return access( this, function( value ) { + return value === undefined ? + jQuery.text( this ) : + this.empty().each( function() { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + this.textContent = value; + } + } ); + }, null, value, arguments.length ); + }, + + append: function() { + return domManip( this, arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.appendChild( elem ); + } + } ); + }, + + prepend: function() { + return domManip( this, arguments, function( elem ) { + if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { + var target = manipulationTarget( this, elem ); + target.insertBefore( elem, target.firstChild ); + } + } ); + }, + + before: function() { + return domManip( this, arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this ); + } + } ); + }, + + after: function() { + return domManip( this, arguments, function( elem ) { + if ( this.parentNode ) { + this.parentNode.insertBefore( elem, this.nextSibling ); + } + } ); + }, + + empty: function() { + var elem, + i = 0; + + for ( ; ( elem = this[ i ] ) != null; i++ ) { + if ( elem.nodeType === 1 ) { + + // Prevent memory leaks + jQuery.cleanData( getAll( elem, false ) ); + + // Remove any remaining nodes + elem.textContent = ""; + } + } + + return this; + }, + + clone: function( dataAndEvents, deepDataAndEvents ) { + dataAndEvents = dataAndEvents == null ? false : dataAndEvents; + deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; + + return this.map( function() { + return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); + } ); + }, + + html: function( value ) { + return access( this, function( value ) { + var elem = this[ 0 ] || {}, + i = 0, + l = this.length; + + if ( value === undefined && elem.nodeType === 1 ) { + return elem.innerHTML; + } + + // See if we can take a shortcut and just use innerHTML + if ( typeof value === "string" && !rnoInnerhtml.test( value ) && + !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { + + value = jQuery.htmlPrefilter( value ); + + try { + for ( ; i < l; i++ ) { + elem = this[ i ] || {}; + + // Remove element nodes and prevent memory leaks + if ( elem.nodeType === 1 ) { + jQuery.cleanData( getAll( elem, false ) ); + elem.innerHTML = value; + } + } + + elem = 0; + + // If using innerHTML throws an exception, use the fallback method + } catch ( e ) {} + } + + if ( elem ) { + this.empty().append( value ); + } + }, null, value, arguments.length ); + }, + + replaceWith: function() { + var ignored = []; + + // Make the changes, replacing each non-ignored context element with the new content + return domManip( this, arguments, function( elem ) { + var parent = this.parentNode; + + if ( jQuery.inArray( this, ignored ) < 0 ) { + jQuery.cleanData( getAll( this ) ); + if ( parent ) { + parent.replaceChild( elem, this ); + } + } + + // Force callback invocation + }, ignored ); + } +} ); + +jQuery.each( { + appendTo: "append", + prependTo: "prepend", + insertBefore: "before", + insertAfter: "after", + replaceAll: "replaceWith" +}, function( name, original ) { + jQuery.fn[ name ] = function( selector ) { + var elems, + ret = [], + insert = jQuery( selector ), + last = insert.length - 1, + i = 0; + + for ( ; i <= last; i++ ) { + elems = i === last ? this : this.clone( true ); + jQuery( insert[ i ] )[ original ]( elems ); + + // Support: Android <=4.0 only, PhantomJS 1 only + // .get() because push.apply(_, arraylike) throws on ancient WebKit + push.apply( ret, elems.get() ); + } + + return this.pushStack( ret ); + }; +} ); +var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); + +var getStyles = function( elem ) { + + // Support: IE <=11 only, Firefox <=30 (#15098, #14150) + // IE throws on elements created in popups + // FF meanwhile throws on frame elements through "defaultView.getComputedStyle" + var view = elem.ownerDocument.defaultView; + + if ( !view || !view.opener ) { + view = window; + } + + return view.getComputedStyle( elem ); + }; + +var swap = function( elem, options, callback ) { + var ret, name, + old = {}; + + // Remember the old values, and insert the new ones + for ( name in options ) { + old[ name ] = elem.style[ name ]; + elem.style[ name ] = options[ name ]; + } + + ret = callback.call( elem ); + + // Revert the old values + for ( name in options ) { + elem.style[ name ] = old[ name ]; + } + + return ret; +}; + + +var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" ); + + + +( function() { + + // Executing both pixelPosition & boxSizingReliable tests require only one layout + // so they're executed at the same time to save the second computation. + function computeStyleTests() { + + // This is a singleton, we need to execute it only once + if ( !div ) { + return; + } + + container.style.cssText = "position:absolute;left:-11111px;width:60px;" + + "margin-top:1px;padding:0;border:0"; + div.style.cssText = + "position:relative;display:block;box-sizing:border-box;overflow:scroll;" + + "margin:auto;border:1px;padding:1px;" + + "width:60%;top:1%"; + documentElement.appendChild( container ).appendChild( div ); + + var divStyle = window.getComputedStyle( div ); + pixelPositionVal = divStyle.top !== "1%"; + + // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 + reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12; + + // Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3 + // Some styles come back with percentage values, even though they shouldn't + div.style.right = "60%"; + pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36; + + // Support: IE 9 - 11 only + // Detect misreporting of content dimensions for box-sizing:border-box elements + boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36; + + // Support: IE 9 only + // Detect overflow:scroll screwiness (gh-3699) + // Support: Chrome <=64 + // Don't get tricked when zoom affects offsetWidth (gh-4029) + div.style.position = "absolute"; + scrollboxSizeVal = roundPixelMeasures( div.offsetWidth / 3 ) === 12; + + documentElement.removeChild( container ); + + // Nullify the div so it wouldn't be stored in the memory and + // it will also be a sign that checks already performed + div = null; + } + + function roundPixelMeasures( measure ) { + return Math.round( parseFloat( measure ) ); + } + + var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal, + reliableTrDimensionsVal, reliableMarginLeftVal, + container = document.createElement( "div" ), + div = document.createElement( "div" ); + + // Finish early in limited (non-browser) environments + if ( !div.style ) { + return; + } + + // Support: IE <=9 - 11 only + // Style of cloned element affects source element cloned (#8908) + div.style.backgroundClip = "content-box"; + div.cloneNode( true ).style.backgroundClip = ""; + support.clearCloneStyle = div.style.backgroundClip === "content-box"; + + jQuery.extend( support, { + boxSizingReliable: function() { + computeStyleTests(); + return boxSizingReliableVal; + }, + pixelBoxStyles: function() { + computeStyleTests(); + return pixelBoxStylesVal; + }, + pixelPosition: function() { + computeStyleTests(); + return pixelPositionVal; + }, + reliableMarginLeft: function() { + computeStyleTests(); + return reliableMarginLeftVal; + }, + scrollboxSize: function() { + computeStyleTests(); + return scrollboxSizeVal; + }, + + // Support: IE 9 - 11+, Edge 15 - 18+ + // IE/Edge misreport `getComputedStyle` of table rows with width/height + // set in CSS while `offset*` properties report correct values. + // Behavior in IE 9 is more subtle than in newer versions & it passes + // some versions of this test; make sure not to make it pass there! + reliableTrDimensions: function() { + var table, tr, trChild, trStyle; + if ( reliableTrDimensionsVal == null ) { + table = document.createElement( "table" ); + tr = document.createElement( "tr" ); + trChild = document.createElement( "div" ); + + table.style.cssText = "position:absolute;left:-11111px"; + tr.style.height = "1px"; + trChild.style.height = "9px"; + + documentElement + .appendChild( table ) + .appendChild( tr ) + .appendChild( trChild ); + + trStyle = window.getComputedStyle( tr ); + reliableTrDimensionsVal = parseInt( trStyle.height ) > 3; + + documentElement.removeChild( table ); + } + return reliableTrDimensionsVal; + } + } ); +} )(); + + +function curCSS( elem, name, computed ) { + var width, minWidth, maxWidth, ret, + + // Support: Firefox 51+ + // Retrieving style before computed somehow + // fixes an issue with getting wrong values + // on detached elements + style = elem.style; + + computed = computed || getStyles( elem ); + + // getPropertyValue is needed for: + // .css('filter') (IE 9 only, #12537) + // .css('--customProperty) (#3144) + if ( computed ) { + ret = computed.getPropertyValue( name ) || computed[ name ]; + + if ( ret === "" && !isAttached( elem ) ) { + ret = jQuery.style( elem, name ); + } + + // A tribute to the "awesome hack by Dean Edwards" + // Android Browser returns percentage for some values, + // but width seems to be reliably pixels. + // This is against the CSSOM draft spec: + // https://drafts.csswg.org/cssom/#resolved-values + if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) { + + // Remember the original values + width = style.width; + minWidth = style.minWidth; + maxWidth = style.maxWidth; + + // Put in the new values to get a computed value out + style.minWidth = style.maxWidth = style.width = ret; + ret = computed.width; + + // Revert the changed values + style.width = width; + style.minWidth = minWidth; + style.maxWidth = maxWidth; + } + } + + return ret !== undefined ? + + // Support: IE <=9 - 11 only + // IE returns zIndex value as an integer. + ret + "" : + ret; +} + + +function addGetHookIf( conditionFn, hookFn ) { + + // Define the hook, we'll check on the first run if it's really needed. + return { + get: function() { + if ( conditionFn() ) { + + // Hook not needed (or it's not possible to use it due + // to missing dependency), remove it. + delete this.get; + return; + } + + // Hook needed; redefine it so that the support test is not executed again. + return ( this.get = hookFn ).apply( this, arguments ); + } + }; +} + + +var cssPrefixes = [ "Webkit", "Moz", "ms" ], + emptyStyle = document.createElement( "div" ).style, + vendorProps = {}; + +// Return a vendor-prefixed property or undefined +function vendorPropName( name ) { + + // Check for vendor prefixed names + var capName = name[ 0 ].toUpperCase() + name.slice( 1 ), + i = cssPrefixes.length; + + while ( i-- ) { + name = cssPrefixes[ i ] + capName; + if ( name in emptyStyle ) { + return name; + } + } +} + +// Return a potentially-mapped jQuery.cssProps or vendor prefixed property +function finalPropName( name ) { + var final = jQuery.cssProps[ name ] || vendorProps[ name ]; + + if ( final ) { + return final; + } + if ( name in emptyStyle ) { + return name; + } + return vendorProps[ name ] = vendorPropName( name ) || name; +} + + +var + + // Swappable if display is none or starts with table + // except "table", "table-cell", or "table-caption" + // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display + rdisplayswap = /^(none|table(?!-c[ea]).+)/, + rcustomProp = /^--/, + cssShow = { position: "absolute", visibility: "hidden", display: "block" }, + cssNormalTransform = { + letterSpacing: "0", + fontWeight: "400" + }; + +function setPositiveNumber( _elem, value, subtract ) { + + // Any relative (+/-) values have already been + // normalized at this point + var matches = rcssNum.exec( value ); + return matches ? + + // Guard against undefined "subtract", e.g., when used as in cssHooks + Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) : + value; +} + +function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) { + var i = dimension === "width" ? 1 : 0, + extra = 0, + delta = 0; + + // Adjustment may not be necessary + if ( box === ( isBorderBox ? "border" : "content" ) ) { + return 0; + } + + for ( ; i < 4; i += 2 ) { + + // Both box models exclude margin + if ( box === "margin" ) { + delta += jQuery.css( elem, box + cssExpand[ i ], true, styles ); + } + + // If we get here with a content-box, we're seeking "padding" or "border" or "margin" + if ( !isBorderBox ) { + + // Add padding + delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + + // For "border" or "margin", add border + if ( box !== "padding" ) { + delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + + // But still keep track of it otherwise + } else { + extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + + // If we get here with a border-box (content + padding + border), we're seeking "content" or + // "padding" or "margin" + } else { + + // For "content", subtract padding + if ( box === "content" ) { + delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); + } + + // For "content" or "padding", subtract border + if ( box !== "margin" ) { + delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); + } + } + } + + // Account for positive content-box scroll gutter when requested by providing computedVal + if ( !isBorderBox && computedVal >= 0 ) { + + // offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border + // Assuming integer scroll gutter, subtract the rest and round down + delta += Math.max( 0, Math.ceil( + elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - + computedVal - + delta - + extra - + 0.5 + + // If offsetWidth/offsetHeight is unknown, then we can't determine content-box scroll gutter + // Use an explicit zero to avoid NaN (gh-3964) + ) ) || 0; + } + + return delta; +} + +function getWidthOrHeight( elem, dimension, extra ) { + + // Start with computed style + var styles = getStyles( elem ), + + // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-4322). + // Fake content-box until we know it's needed to know the true value. + boxSizingNeeded = !support.boxSizingReliable() || extra, + isBorderBox = boxSizingNeeded && + jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + valueIsBorderBox = isBorderBox, + + val = curCSS( elem, dimension, styles ), + offsetProp = "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ); + + // Support: Firefox <=54 + // Return a confounding non-pixel value or feign ignorance, as appropriate. + if ( rnumnonpx.test( val ) ) { + if ( !extra ) { + return val; + } + val = "auto"; + } + + + // Support: IE 9 - 11 only + // Use offsetWidth/offsetHeight for when box sizing is unreliable. + // In those cases, the computed value can be trusted to be border-box. + if ( ( !support.boxSizingReliable() && isBorderBox || + + // Support: IE 10 - 11+, Edge 15 - 18+ + // IE/Edge misreport `getComputedStyle` of table rows with width/height + // set in CSS while `offset*` properties report correct values. + // Interestingly, in some cases IE 9 doesn't suffer from this issue. + !support.reliableTrDimensions() && nodeName( elem, "tr" ) || + + // Fall back to offsetWidth/offsetHeight when value is "auto" + // This happens for inline elements with no explicit setting (gh-3571) + val === "auto" || + + // Support: Android <=4.1 - 4.3 only + // Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602) + !parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) && + + // Make sure the element is visible & connected + elem.getClientRects().length ) { + + isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box"; + + // Where available, offsetWidth/offsetHeight approximate border box dimensions. + // Where not available (e.g., SVG), assume unreliable box-sizing and interpret the + // retrieved value as a content box dimension. + valueIsBorderBox = offsetProp in elem; + if ( valueIsBorderBox ) { + val = elem[ offsetProp ]; + } + } + + // Normalize "" and auto + val = parseFloat( val ) || 0; + + // Adjust for the element's box model + return ( val + + boxModelAdjustment( + elem, + dimension, + extra || ( isBorderBox ? "border" : "content" ), + valueIsBorderBox, + styles, + + // Provide the current computed size to request scroll gutter calculation (gh-3589) + val + ) + ) + "px"; +} + +jQuery.extend( { + + // Add in style property hooks for overriding the default + // behavior of getting and setting a style property + cssHooks: { + opacity: { + get: function( elem, computed ) { + if ( computed ) { + + // We should always get a number back from opacity + var ret = curCSS( elem, "opacity" ); + return ret === "" ? "1" : ret; + } + } + } + }, + + // Don't automatically add "px" to these possibly-unitless properties + cssNumber: { + "animationIterationCount": true, + "columnCount": true, + "fillOpacity": true, + "flexGrow": true, + "flexShrink": true, + "fontWeight": true, + "gridArea": true, + "gridColumn": true, + "gridColumnEnd": true, + "gridColumnStart": true, + "gridRow": true, + "gridRowEnd": true, + "gridRowStart": true, + "lineHeight": true, + "opacity": true, + "order": true, + "orphans": true, + "widows": true, + "zIndex": true, + "zoom": true + }, + + // Add in properties whose names you wish to fix before + // setting or getting the value + cssProps: {}, + + // Get and set the style property on a DOM Node + style: function( elem, name, value, extra ) { + + // Don't set styles on text and comment nodes + if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { + return; + } + + // Make sure that we're working with the right name + var ret, type, hooks, + origName = camelCase( name ), + isCustomProp = rcustomProp.test( name ), + style = elem.style; + + // Make sure that we're working with the right name. We don't + // want to query the value if it is a CSS custom property + // since they are user-defined. + if ( !isCustomProp ) { + name = finalPropName( origName ); + } + + // Gets hook for the prefixed version, then unprefixed version + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // Check if we're setting a value + if ( value !== undefined ) { + type = typeof value; + + // Convert "+=" or "-=" to relative numbers (#7345) + if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) { + value = adjustCSS( elem, name, ret ); + + // Fixes bug #9237 + type = "number"; + } + + // Make sure that null and NaN values aren't set (#7116) + if ( value == null || value !== value ) { + return; + } + + // If a number was passed in, add the unit (except for certain CSS properties) + // The isCustomProp check can be removed in jQuery 4.0 when we only auto-append + // "px" to a few hardcoded values. + if ( type === "number" && !isCustomProp ) { + value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" ); + } + + // background-* props affect original clone's values + if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) { + style[ name ] = "inherit"; + } + + // If a hook was provided, use that value, otherwise just set the specified value + if ( !hooks || !( "set" in hooks ) || + ( value = hooks.set( elem, value, extra ) ) !== undefined ) { + + if ( isCustomProp ) { + style.setProperty( name, value ); + } else { + style[ name ] = value; + } + } + + } else { + + // If a hook was provided get the non-computed value from there + if ( hooks && "get" in hooks && + ( ret = hooks.get( elem, false, extra ) ) !== undefined ) { + + return ret; + } + + // Otherwise just get the value from the style object + return style[ name ]; + } + }, + + css: function( elem, name, extra, styles ) { + var val, num, hooks, + origName = camelCase( name ), + isCustomProp = rcustomProp.test( name ); + + // Make sure that we're working with the right name. We don't + // want to modify the value if it is a CSS custom property + // since they are user-defined. + if ( !isCustomProp ) { + name = finalPropName( origName ); + } + + // Try prefixed name followed by the unprefixed name + hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; + + // If a hook was provided get the computed value from there + if ( hooks && "get" in hooks ) { + val = hooks.get( elem, true, extra ); + } + + // Otherwise, if a way to get the computed value exists, use that + if ( val === undefined ) { + val = curCSS( elem, name, styles ); + } + + // Convert "normal" to computed value + if ( val === "normal" && name in cssNormalTransform ) { + val = cssNormalTransform[ name ]; + } + + // Make numeric if forced or a qualifier was provided and val looks numeric + if ( extra === "" || extra ) { + num = parseFloat( val ); + return extra === true || isFinite( num ) ? num || 0 : val; + } + + return val; + } +} ); + +jQuery.each( [ "height", "width" ], function( _i, dimension ) { + jQuery.cssHooks[ dimension ] = { + get: function( elem, computed, extra ) { + if ( computed ) { + + // Certain elements can have dimension info if we invisibly show them + // but it must have a current display style that would benefit + return rdisplayswap.test( jQuery.css( elem, "display" ) ) && + + // Support: Safari 8+ + // Table columns in Safari have non-zero offsetWidth & zero + // getBoundingClientRect().width unless display is changed. + // Support: IE <=11 only + // Running getBoundingClientRect on a disconnected node + // in IE throws an error. + ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? + swap( elem, cssShow, function() { + return getWidthOrHeight( elem, dimension, extra ); + } ) : + getWidthOrHeight( elem, dimension, extra ); + } + }, + + set: function( elem, value, extra ) { + var matches, + styles = getStyles( elem ), + + // Only read styles.position if the test has a chance to fail + // to avoid forcing a reflow. + scrollboxSizeBuggy = !support.scrollboxSize() && + styles.position === "absolute", + + // To avoid forcing a reflow, only fetch boxSizing if we need it (gh-3991) + boxSizingNeeded = scrollboxSizeBuggy || extra, + isBorderBox = boxSizingNeeded && + jQuery.css( elem, "boxSizing", false, styles ) === "border-box", + subtract = extra ? + boxModelAdjustment( + elem, + dimension, + extra, + isBorderBox, + styles + ) : + 0; + + // Account for unreliable border-box dimensions by comparing offset* to computed and + // faking a content-box to get border and padding (gh-3699) + if ( isBorderBox && scrollboxSizeBuggy ) { + subtract -= Math.ceil( + elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - + parseFloat( styles[ dimension ] ) - + boxModelAdjustment( elem, dimension, "border", false, styles ) - + 0.5 + ); + } + + // Convert to pixels if value adjustment is needed + if ( subtract && ( matches = rcssNum.exec( value ) ) && + ( matches[ 3 ] || "px" ) !== "px" ) { + + elem.style[ dimension ] = value; + value = jQuery.css( elem, dimension ); + } + + return setPositiveNumber( elem, value, subtract ); + } + }; +} ); + +jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft, + function( elem, computed ) { + if ( computed ) { + return ( parseFloat( curCSS( elem, "marginLeft" ) ) || + elem.getBoundingClientRect().left - + swap( elem, { marginLeft: 0 }, function() { + return elem.getBoundingClientRect().left; + } ) + ) + "px"; + } + } +); + +// These hooks are used by animate to expand properties +jQuery.each( { + margin: "", + padding: "", + border: "Width" +}, function( prefix, suffix ) { + jQuery.cssHooks[ prefix + suffix ] = { + expand: function( value ) { + var i = 0, + expanded = {}, + + // Assumes a single number if not a string + parts = typeof value === "string" ? value.split( " " ) : [ value ]; + + for ( ; i < 4; i++ ) { + expanded[ prefix + cssExpand[ i ] + suffix ] = + parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; + } + + return expanded; + } + }; + + if ( prefix !== "margin" ) { + jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; + } +} ); + +jQuery.fn.extend( { + css: function( name, value ) { + return access( this, function( elem, name, value ) { + var styles, len, + map = {}, + i = 0; + + if ( Array.isArray( name ) ) { + styles = getStyles( elem ); + len = name.length; + + for ( ; i < len; i++ ) { + map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); + } + + return map; + } + + return value !== undefined ? + jQuery.style( elem, name, value ) : + jQuery.css( elem, name ); + }, name, value, arguments.length > 1 ); + } +} ); + + +function Tween( elem, options, prop, end, easing ) { + return new Tween.prototype.init( elem, options, prop, end, easing ); +} +jQuery.Tween = Tween; + +Tween.prototype = { + constructor: Tween, + init: function( elem, options, prop, end, easing, unit ) { + this.elem = elem; + this.prop = prop; + this.easing = easing || jQuery.easing._default; + this.options = options; + this.start = this.now = this.cur(); + this.end = end; + this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); + }, + cur: function() { + var hooks = Tween.propHooks[ this.prop ]; + + return hooks && hooks.get ? + hooks.get( this ) : + Tween.propHooks._default.get( this ); + }, + run: function( percent ) { + var eased, + hooks = Tween.propHooks[ this.prop ]; + + if ( this.options.duration ) { + this.pos = eased = jQuery.easing[ this.easing ]( + percent, this.options.duration * percent, 0, 1, this.options.duration + ); + } else { + this.pos = eased = percent; + } + this.now = ( this.end - this.start ) * eased + this.start; + + if ( this.options.step ) { + this.options.step.call( this.elem, this.now, this ); + } + + if ( hooks && hooks.set ) { + hooks.set( this ); + } else { + Tween.propHooks._default.set( this ); + } + return this; + } +}; + +Tween.prototype.init.prototype = Tween.prototype; + +Tween.propHooks = { + _default: { + get: function( tween ) { + var result; + + // Use a property on the element directly when it is not a DOM element, + // or when there is no matching style property that exists. + if ( tween.elem.nodeType !== 1 || + tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) { + return tween.elem[ tween.prop ]; + } + + // Passing an empty string as a 3rd parameter to .css will automatically + // attempt a parseFloat and fallback to a string if the parse fails. + // Simple values such as "10px" are parsed to Float; + // complex values such as "rotate(1rad)" are returned as-is. + result = jQuery.css( tween.elem, tween.prop, "" ); + + // Empty strings, null, undefined and "auto" are converted to 0. + return !result || result === "auto" ? 0 : result; + }, + set: function( tween ) { + + // Use step hook for back compat. + // Use cssHook if its there. + // Use .style if available and use plain properties where available. + if ( jQuery.fx.step[ tween.prop ] ) { + jQuery.fx.step[ tween.prop ]( tween ); + } else if ( tween.elem.nodeType === 1 && ( + jQuery.cssHooks[ tween.prop ] || + tween.elem.style[ finalPropName( tween.prop ) ] != null ) ) { + jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); + } else { + tween.elem[ tween.prop ] = tween.now; + } + } + } +}; + +// Support: IE <=9 only +// Panic based approach to setting things on disconnected nodes +Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { + set: function( tween ) { + if ( tween.elem.nodeType && tween.elem.parentNode ) { + tween.elem[ tween.prop ] = tween.now; + } + } +}; + +jQuery.easing = { + linear: function( p ) { + return p; + }, + swing: function( p ) { + return 0.5 - Math.cos( p * Math.PI ) / 2; + }, + _default: "swing" +}; + +jQuery.fx = Tween.prototype.init; + +// Back compat <1.8 extension point +jQuery.fx.step = {}; + + + + +var + fxNow, inProgress, + rfxtypes = /^(?:toggle|show|hide)$/, + rrun = /queueHooks$/; + +function schedule() { + if ( inProgress ) { + if ( document.hidden === false && window.requestAnimationFrame ) { + window.requestAnimationFrame( schedule ); + } else { + window.setTimeout( schedule, jQuery.fx.interval ); + } + + jQuery.fx.tick(); + } +} + +// Animations created synchronously will run synchronously +function createFxNow() { + window.setTimeout( function() { + fxNow = undefined; + } ); + return ( fxNow = Date.now() ); +} + +// Generate parameters to create a standard animation +function genFx( type, includeWidth ) { + var which, + i = 0, + attrs = { height: type }; + + // If we include width, step value is 1 to do all cssExpand values, + // otherwise step value is 2 to skip over Left and Right + includeWidth = includeWidth ? 1 : 0; + for ( ; i < 4; i += 2 - includeWidth ) { + which = cssExpand[ i ]; + attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; + } + + if ( includeWidth ) { + attrs.opacity = attrs.width = type; + } + + return attrs; +} + +function createTween( value, prop, animation ) { + var tween, + collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ), + index = 0, + length = collection.length; + for ( ; index < length; index++ ) { + if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) { + + // We're done with this property + return tween; + } + } +} + +function defaultPrefilter( elem, props, opts ) { + var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display, + isBox = "width" in props || "height" in props, + anim = this, + orig = {}, + style = elem.style, + hidden = elem.nodeType && isHiddenWithinTree( elem ), + dataShow = dataPriv.get( elem, "fxshow" ); + + // Queue-skipping animations hijack the fx hooks + if ( !opts.queue ) { + hooks = jQuery._queueHooks( elem, "fx" ); + if ( hooks.unqueued == null ) { + hooks.unqueued = 0; + oldfire = hooks.empty.fire; + hooks.empty.fire = function() { + if ( !hooks.unqueued ) { + oldfire(); + } + }; + } + hooks.unqueued++; + + anim.always( function() { + + // Ensure the complete handler is called before this completes + anim.always( function() { + hooks.unqueued--; + if ( !jQuery.queue( elem, "fx" ).length ) { + hooks.empty.fire(); + } + } ); + } ); + } + + // Detect show/hide animations + for ( prop in props ) { + value = props[ prop ]; + if ( rfxtypes.test( value ) ) { + delete props[ prop ]; + toggle = toggle || value === "toggle"; + if ( value === ( hidden ? "hide" : "show" ) ) { + + // Pretend to be hidden if this is a "show" and + // there is still data from a stopped show/hide + if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) { + hidden = true; + + // Ignore all other no-op show/hide data + } else { + continue; + } + } + orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop ); + } + } + + // Bail out if this is a no-op like .hide().hide() + propTween = !jQuery.isEmptyObject( props ); + if ( !propTween && jQuery.isEmptyObject( orig ) ) { + return; + } + + // Restrict "overflow" and "display" styles during box animations + if ( isBox && elem.nodeType === 1 ) { + + // Support: IE <=9 - 11, Edge 12 - 15 + // Record all 3 overflow attributes because IE does not infer the shorthand + // from identically-valued overflowX and overflowY and Edge just mirrors + // the overflowX value there. + opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; + + // Identify a display type, preferring old show/hide data over the CSS cascade + restoreDisplay = dataShow && dataShow.display; + if ( restoreDisplay == null ) { + restoreDisplay = dataPriv.get( elem, "display" ); + } + display = jQuery.css( elem, "display" ); + if ( display === "none" ) { + if ( restoreDisplay ) { + display = restoreDisplay; + } else { + + // Get nonempty value(s) by temporarily forcing visibility + showHide( [ elem ], true ); + restoreDisplay = elem.style.display || restoreDisplay; + display = jQuery.css( elem, "display" ); + showHide( [ elem ] ); + } + } + + // Animate inline elements as inline-block + if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) { + if ( jQuery.css( elem, "float" ) === "none" ) { + + // Restore the original display value at the end of pure show/hide animations + if ( !propTween ) { + anim.done( function() { + style.display = restoreDisplay; + } ); + if ( restoreDisplay == null ) { + display = style.display; + restoreDisplay = display === "none" ? "" : display; + } + } + style.display = "inline-block"; + } + } + } + + if ( opts.overflow ) { + style.overflow = "hidden"; + anim.always( function() { + style.overflow = opts.overflow[ 0 ]; + style.overflowX = opts.overflow[ 1 ]; + style.overflowY = opts.overflow[ 2 ]; + } ); + } + + // Implement show/hide animations + propTween = false; + for ( prop in orig ) { + + // General show/hide setup for this element animation + if ( !propTween ) { + if ( dataShow ) { + if ( "hidden" in dataShow ) { + hidden = dataShow.hidden; + } + } else { + dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } ); + } + + // Store hidden/visible for toggle so `.stop().toggle()` "reverses" + if ( toggle ) { + dataShow.hidden = !hidden; + } + + // Show elements before animating them + if ( hidden ) { + showHide( [ elem ], true ); + } + + /* eslint-disable no-loop-func */ + + anim.done( function() { + + /* eslint-enable no-loop-func */ + + // The final step of a "hide" animation is actually hiding the element + if ( !hidden ) { + showHide( [ elem ] ); + } + dataPriv.remove( elem, "fxshow" ); + for ( prop in orig ) { + jQuery.style( elem, prop, orig[ prop ] ); + } + } ); + } + + // Per-property setup + propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim ); + if ( !( prop in dataShow ) ) { + dataShow[ prop ] = propTween.start; + if ( hidden ) { + propTween.end = propTween.start; + propTween.start = 0; + } + } + } +} + +function propFilter( props, specialEasing ) { + var index, name, easing, value, hooks; + + // camelCase, specialEasing and expand cssHook pass + for ( index in props ) { + name = camelCase( index ); + easing = specialEasing[ name ]; + value = props[ index ]; + if ( Array.isArray( value ) ) { + easing = value[ 1 ]; + value = props[ index ] = value[ 0 ]; + } + + if ( index !== name ) { + props[ name ] = value; + delete props[ index ]; + } + + hooks = jQuery.cssHooks[ name ]; + if ( hooks && "expand" in hooks ) { + value = hooks.expand( value ); + delete props[ name ]; + + // Not quite $.extend, this won't overwrite existing keys. + // Reusing 'index' because we have the correct "name" + for ( index in value ) { + if ( !( index in props ) ) { + props[ index ] = value[ index ]; + specialEasing[ index ] = easing; + } + } + } else { + specialEasing[ name ] = easing; + } + } +} + +function Animation( elem, properties, options ) { + var result, + stopped, + index = 0, + length = Animation.prefilters.length, + deferred = jQuery.Deferred().always( function() { + + // Don't match elem in the :animated selector + delete tick.elem; + } ), + tick = function() { + if ( stopped ) { + return false; + } + var currentTime = fxNow || createFxNow(), + remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), + + // Support: Android 2.3 only + // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497) + temp = remaining / animation.duration || 0, + percent = 1 - temp, + index = 0, + length = animation.tweens.length; + + for ( ; index < length; index++ ) { + animation.tweens[ index ].run( percent ); + } + + deferred.notifyWith( elem, [ animation, percent, remaining ] ); + + // If there's more to do, yield + if ( percent < 1 && length ) { + return remaining; + } + + // If this was an empty animation, synthesize a final progress notification + if ( !length ) { + deferred.notifyWith( elem, [ animation, 1, 0 ] ); + } + + // Resolve the animation and report its conclusion + deferred.resolveWith( elem, [ animation ] ); + return false; + }, + animation = deferred.promise( { + elem: elem, + props: jQuery.extend( {}, properties ), + opts: jQuery.extend( true, { + specialEasing: {}, + easing: jQuery.easing._default + }, options ), + originalProperties: properties, + originalOptions: options, + startTime: fxNow || createFxNow(), + duration: options.duration, + tweens: [], + createTween: function( prop, end ) { + var tween = jQuery.Tween( elem, animation.opts, prop, end, + animation.opts.specialEasing[ prop ] || animation.opts.easing ); + animation.tweens.push( tween ); + return tween; + }, + stop: function( gotoEnd ) { + var index = 0, + + // If we are going to the end, we want to run all the tweens + // otherwise we skip this part + length = gotoEnd ? animation.tweens.length : 0; + if ( stopped ) { + return this; + } + stopped = true; + for ( ; index < length; index++ ) { + animation.tweens[ index ].run( 1 ); + } + + // Resolve when we played the last frame; otherwise, reject + if ( gotoEnd ) { + deferred.notifyWith( elem, [ animation, 1, 0 ] ); + deferred.resolveWith( elem, [ animation, gotoEnd ] ); + } else { + deferred.rejectWith( elem, [ animation, gotoEnd ] ); + } + return this; + } + } ), + props = animation.props; + + propFilter( props, animation.opts.specialEasing ); + + for ( ; index < length; index++ ) { + result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); + if ( result ) { + if ( isFunction( result.stop ) ) { + jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = + result.stop.bind( result ); + } + return result; + } + } + + jQuery.map( props, createTween, animation ); + + if ( isFunction( animation.opts.start ) ) { + animation.opts.start.call( elem, animation ); + } + + // Attach callbacks from options + animation + .progress( animation.opts.progress ) + .done( animation.opts.done, animation.opts.complete ) + .fail( animation.opts.fail ) + .always( animation.opts.always ); + + jQuery.fx.timer( + jQuery.extend( tick, { + elem: elem, + anim: animation, + queue: animation.opts.queue + } ) + ); + + return animation; +} + +jQuery.Animation = jQuery.extend( Animation, { + + tweeners: { + "*": [ function( prop, value ) { + var tween = this.createTween( prop, value ); + adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween ); + return tween; + } ] + }, + + tweener: function( props, callback ) { + if ( isFunction( props ) ) { + callback = props; + props = [ "*" ]; + } else { + props = props.match( rnothtmlwhite ); + } + + var prop, + index = 0, + length = props.length; + + for ( ; index < length; index++ ) { + prop = props[ index ]; + Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || []; + Animation.tweeners[ prop ].unshift( callback ); + } + }, + + prefilters: [ defaultPrefilter ], + + prefilter: function( callback, prepend ) { + if ( prepend ) { + Animation.prefilters.unshift( callback ); + } else { + Animation.prefilters.push( callback ); + } + } +} ); + +jQuery.speed = function( speed, easing, fn ) { + var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { + complete: fn || !fn && easing || + isFunction( speed ) && speed, + duration: speed, + easing: fn && easing || easing && !isFunction( easing ) && easing + }; + + // Go to the end state if fx are off + if ( jQuery.fx.off ) { + opt.duration = 0; + + } else { + if ( typeof opt.duration !== "number" ) { + if ( opt.duration in jQuery.fx.speeds ) { + opt.duration = jQuery.fx.speeds[ opt.duration ]; + + } else { + opt.duration = jQuery.fx.speeds._default; + } + } + } + + // Normalize opt.queue - true/undefined/null -> "fx" + if ( opt.queue == null || opt.queue === true ) { + opt.queue = "fx"; + } + + // Queueing + opt.old = opt.complete; + + opt.complete = function() { + if ( isFunction( opt.old ) ) { + opt.old.call( this ); + } + + if ( opt.queue ) { + jQuery.dequeue( this, opt.queue ); + } + }; + + return opt; +}; + +jQuery.fn.extend( { + fadeTo: function( speed, to, easing, callback ) { + + // Show any hidden elements after setting opacity to 0 + return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show() + + // Animate to the value specified + .end().animate( { opacity: to }, speed, easing, callback ); + }, + animate: function( prop, speed, easing, callback ) { + var empty = jQuery.isEmptyObject( prop ), + optall = jQuery.speed( speed, easing, callback ), + doAnimation = function() { + + // Operate on a copy of prop so per-property easing won't be lost + var anim = Animation( this, jQuery.extend( {}, prop ), optall ); + + // Empty animations, or finishing resolves immediately + if ( empty || dataPriv.get( this, "finish" ) ) { + anim.stop( true ); + } + }; + doAnimation.finish = doAnimation; + + return empty || optall.queue === false ? + this.each( doAnimation ) : + this.queue( optall.queue, doAnimation ); + }, + stop: function( type, clearQueue, gotoEnd ) { + var stopQueue = function( hooks ) { + var stop = hooks.stop; + delete hooks.stop; + stop( gotoEnd ); + }; + + if ( typeof type !== "string" ) { + gotoEnd = clearQueue; + clearQueue = type; + type = undefined; + } + if ( clearQueue ) { + this.queue( type || "fx", [] ); + } + + return this.each( function() { + var dequeue = true, + index = type != null && type + "queueHooks", + timers = jQuery.timers, + data = dataPriv.get( this ); + + if ( index ) { + if ( data[ index ] && data[ index ].stop ) { + stopQueue( data[ index ] ); + } + } else { + for ( index in data ) { + if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { + stopQueue( data[ index ] ); + } + } + } + + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && + ( type == null || timers[ index ].queue === type ) ) { + + timers[ index ].anim.stop( gotoEnd ); + dequeue = false; + timers.splice( index, 1 ); + } + } + + // Start the next in the queue if the last step wasn't forced. + // Timers currently will call their complete callbacks, which + // will dequeue but only if they were gotoEnd. + if ( dequeue || !gotoEnd ) { + jQuery.dequeue( this, type ); + } + } ); + }, + finish: function( type ) { + if ( type !== false ) { + type = type || "fx"; + } + return this.each( function() { + var index, + data = dataPriv.get( this ), + queue = data[ type + "queue" ], + hooks = data[ type + "queueHooks" ], + timers = jQuery.timers, + length = queue ? queue.length : 0; + + // Enable finishing flag on private data + data.finish = true; + + // Empty the queue first + jQuery.queue( this, type, [] ); + + if ( hooks && hooks.stop ) { + hooks.stop.call( this, true ); + } + + // Look for any active animations, and finish them + for ( index = timers.length; index--; ) { + if ( timers[ index ].elem === this && timers[ index ].queue === type ) { + timers[ index ].anim.stop( true ); + timers.splice( index, 1 ); + } + } + + // Look for any animations in the old queue and finish them + for ( index = 0; index < length; index++ ) { + if ( queue[ index ] && queue[ index ].finish ) { + queue[ index ].finish.call( this ); + } + } + + // Turn off finishing flag + delete data.finish; + } ); + } +} ); + +jQuery.each( [ "toggle", "show", "hide" ], function( _i, name ) { + var cssFn = jQuery.fn[ name ]; + jQuery.fn[ name ] = function( speed, easing, callback ) { + return speed == null || typeof speed === "boolean" ? + cssFn.apply( this, arguments ) : + this.animate( genFx( name, true ), speed, easing, callback ); + }; +} ); + +// Generate shortcuts for custom animations +jQuery.each( { + slideDown: genFx( "show" ), + slideUp: genFx( "hide" ), + slideToggle: genFx( "toggle" ), + fadeIn: { opacity: "show" }, + fadeOut: { opacity: "hide" }, + fadeToggle: { opacity: "toggle" } +}, function( name, props ) { + jQuery.fn[ name ] = function( speed, easing, callback ) { + return this.animate( props, speed, easing, callback ); + }; +} ); + +jQuery.timers = []; +jQuery.fx.tick = function() { + var timer, + i = 0, + timers = jQuery.timers; + + fxNow = Date.now(); + + for ( ; i < timers.length; i++ ) { + timer = timers[ i ]; + + // Run the timer and safely remove it when done (allowing for external removal) + if ( !timer() && timers[ i ] === timer ) { + timers.splice( i--, 1 ); + } + } + + if ( !timers.length ) { + jQuery.fx.stop(); + } + fxNow = undefined; +}; + +jQuery.fx.timer = function( timer ) { + jQuery.timers.push( timer ); + jQuery.fx.start(); +}; + +jQuery.fx.interval = 13; +jQuery.fx.start = function() { + if ( inProgress ) { + return; + } + + inProgress = true; + schedule(); +}; + +jQuery.fx.stop = function() { + inProgress = null; +}; + +jQuery.fx.speeds = { + slow: 600, + fast: 200, + + // Default speed + _default: 400 +}; + + +// Based off of the plugin by Clint Helfers, with permission. +// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/ +jQuery.fn.delay = function( time, type ) { + time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; + type = type || "fx"; + + return this.queue( type, function( next, hooks ) { + var timeout = window.setTimeout( next, time ); + hooks.stop = function() { + window.clearTimeout( timeout ); + }; + } ); +}; + + +( function() { + var input = document.createElement( "input" ), + select = document.createElement( "select" ), + opt = select.appendChild( document.createElement( "option" ) ); + + input.type = "checkbox"; + + // Support: Android <=4.3 only + // Default value for a checkbox should be "on" + support.checkOn = input.value !== ""; + + // Support: IE <=11 only + // Must access selectedIndex to make default options select + support.optSelected = opt.selected; + + // Support: IE <=11 only + // An input loses its value after becoming a radio + input = document.createElement( "input" ); + input.value = "t"; + input.type = "radio"; + support.radioValue = input.value === "t"; +} )(); + + +var boolHook, + attrHandle = jQuery.expr.attrHandle; + +jQuery.fn.extend( { + attr: function( name, value ) { + return access( this, jQuery.attr, name, value, arguments.length > 1 ); + }, + + removeAttr: function( name ) { + return this.each( function() { + jQuery.removeAttr( this, name ); + } ); + } +} ); + +jQuery.extend( { + attr: function( elem, name, value ) { + var ret, hooks, + nType = elem.nodeType; + + // Don't get/set attributes on text, comment and attribute nodes + if ( nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + // Fallback to prop when attributes are not supported + if ( typeof elem.getAttribute === "undefined" ) { + return jQuery.prop( elem, name, value ); + } + + // Attribute hooks are determined by the lowercase version + // Grab necessary hook if one is defined + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + hooks = jQuery.attrHooks[ name.toLowerCase() ] || + ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined ); + } + + if ( value !== undefined ) { + if ( value === null ) { + jQuery.removeAttr( elem, name ); + return; + } + + if ( hooks && "set" in hooks && + ( ret = hooks.set( elem, value, name ) ) !== undefined ) { + return ret; + } + + elem.setAttribute( name, value + "" ); + return value; + } + + if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { + return ret; + } + + ret = jQuery.find.attr( elem, name ); + + // Non-existent attributes return null, we normalize to undefined + return ret == null ? undefined : ret; + }, + + attrHooks: { + type: { + set: function( elem, value ) { + if ( !support.radioValue && value === "radio" && + nodeName( elem, "input" ) ) { + var val = elem.value; + elem.setAttribute( "type", value ); + if ( val ) { + elem.value = val; + } + return value; + } + } + } + }, + + removeAttr: function( elem, value ) { + var name, + i = 0, + + // Attribute names can contain non-HTML whitespace characters + // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2 + attrNames = value && value.match( rnothtmlwhite ); + + if ( attrNames && elem.nodeType === 1 ) { + while ( ( name = attrNames[ i++ ] ) ) { + elem.removeAttribute( name ); + } + } + } +} ); + +// Hooks for boolean attributes +boolHook = { + set: function( elem, value, name ) { + if ( value === false ) { + + // Remove boolean attributes when set to false + jQuery.removeAttr( elem, name ); + } else { + elem.setAttribute( name, name ); + } + return name; + } +}; + +jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( _i, name ) { + var getter = attrHandle[ name ] || jQuery.find.attr; + + attrHandle[ name ] = function( elem, name, isXML ) { + var ret, handle, + lowercaseName = name.toLowerCase(); + + if ( !isXML ) { + + // Avoid an infinite loop by temporarily removing this function from the getter + handle = attrHandle[ lowercaseName ]; + attrHandle[ lowercaseName ] = ret; + ret = getter( elem, name, isXML ) != null ? + lowercaseName : + null; + attrHandle[ lowercaseName ] = handle; + } + return ret; + }; +} ); + + + + +var rfocusable = /^(?:input|select|textarea|button)$/i, + rclickable = /^(?:a|area)$/i; + +jQuery.fn.extend( { + prop: function( name, value ) { + return access( this, jQuery.prop, name, value, arguments.length > 1 ); + }, + + removeProp: function( name ) { + return this.each( function() { + delete this[ jQuery.propFix[ name ] || name ]; + } ); + } +} ); + +jQuery.extend( { + prop: function( elem, name, value ) { + var ret, hooks, + nType = elem.nodeType; + + // Don't get/set properties on text, comment and attribute nodes + if ( nType === 3 || nType === 8 || nType === 2 ) { + return; + } + + if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { + + // Fix name and attach hooks + name = jQuery.propFix[ name ] || name; + hooks = jQuery.propHooks[ name ]; + } + + if ( value !== undefined ) { + if ( hooks && "set" in hooks && + ( ret = hooks.set( elem, value, name ) ) !== undefined ) { + return ret; + } + + return ( elem[ name ] = value ); + } + + if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { + return ret; + } + + return elem[ name ]; + }, + + propHooks: { + tabIndex: { + get: function( elem ) { + + // Support: IE <=9 - 11 only + // elem.tabIndex doesn't always return the + // correct value when it hasn't been explicitly set + // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/ + // Use proper attribute retrieval(#12072) + var tabindex = jQuery.find.attr( elem, "tabindex" ); + + if ( tabindex ) { + return parseInt( tabindex, 10 ); + } + + if ( + rfocusable.test( elem.nodeName ) || + rclickable.test( elem.nodeName ) && + elem.href + ) { + return 0; + } + + return -1; + } + } + }, + + propFix: { + "for": "htmlFor", + "class": "className" + } +} ); + +// Support: IE <=11 only +// Accessing the selectedIndex property +// forces the browser to respect setting selected +// on the option +// The getter ensures a default option is selected +// when in an optgroup +// eslint rule "no-unused-expressions" is disabled for this code +// since it considers such accessions noop +if ( !support.optSelected ) { + jQuery.propHooks.selected = { + get: function( elem ) { + + /* eslint no-unused-expressions: "off" */ + + var parent = elem.parentNode; + if ( parent && parent.parentNode ) { + parent.parentNode.selectedIndex; + } + return null; + }, + set: function( elem ) { + + /* eslint no-unused-expressions: "off" */ + + var parent = elem.parentNode; + if ( parent ) { + parent.selectedIndex; + + if ( parent.parentNode ) { + parent.parentNode.selectedIndex; + } + } + } + }; +} + +jQuery.each( [ + "tabIndex", + "readOnly", + "maxLength", + "cellSpacing", + "cellPadding", + "rowSpan", + "colSpan", + "useMap", + "frameBorder", + "contentEditable" +], function() { + jQuery.propFix[ this.toLowerCase() ] = this; +} ); + + + + + // Strip and collapse whitespace according to HTML spec + // https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace + function stripAndCollapse( value ) { + var tokens = value.match( rnothtmlwhite ) || []; + return tokens.join( " " ); + } + + +function getClass( elem ) { + return elem.getAttribute && elem.getAttribute( "class" ) || ""; +} + +function classesToArray( value ) { + if ( Array.isArray( value ) ) { + return value; + } + if ( typeof value === "string" ) { + return value.match( rnothtmlwhite ) || []; + } + return []; +} + +jQuery.fn.extend( { + addClass: function( value ) { + var classes, elem, cur, curValue, clazz, j, finalValue, + i = 0; + + if ( isFunction( value ) ) { + return this.each( function( j ) { + jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); + } ); + } + + classes = classesToArray( value ); + + if ( classes.length ) { + while ( ( elem = this[ i++ ] ) ) { + curValue = getClass( elem ); + cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); + + if ( cur ) { + j = 0; + while ( ( clazz = classes[ j++ ] ) ) { + if ( cur.indexOf( " " + clazz + " " ) < 0 ) { + cur += clazz + " "; + } + } + + // Only assign if different to avoid unneeded rendering. + finalValue = stripAndCollapse( cur ); + if ( curValue !== finalValue ) { + elem.setAttribute( "class", finalValue ); + } + } + } + } + + return this; + }, + + removeClass: function( value ) { + var classes, elem, cur, curValue, clazz, j, finalValue, + i = 0; + + if ( isFunction( value ) ) { + return this.each( function( j ) { + jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); + } ); + } + + if ( !arguments.length ) { + return this.attr( "class", "" ); + } + + classes = classesToArray( value ); + + if ( classes.length ) { + while ( ( elem = this[ i++ ] ) ) { + curValue = getClass( elem ); + + // This expression is here for better compressibility (see addClass) + cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); + + if ( cur ) { + j = 0; + while ( ( clazz = classes[ j++ ] ) ) { + + // Remove *all* instances + while ( cur.indexOf( " " + clazz + " " ) > -1 ) { + cur = cur.replace( " " + clazz + " ", " " ); + } + } + + // Only assign if different to avoid unneeded rendering. + finalValue = stripAndCollapse( cur ); + if ( curValue !== finalValue ) { + elem.setAttribute( "class", finalValue ); + } + } + } + } + + return this; + }, + + toggleClass: function( value, stateVal ) { + var type = typeof value, + isValidValue = type === "string" || Array.isArray( value ); + + if ( typeof stateVal === "boolean" && isValidValue ) { + return stateVal ? this.addClass( value ) : this.removeClass( value ); + } + + if ( isFunction( value ) ) { + return this.each( function( i ) { + jQuery( this ).toggleClass( + value.call( this, i, getClass( this ), stateVal ), + stateVal + ); + } ); + } + + return this.each( function() { + var className, i, self, classNames; + + if ( isValidValue ) { + + // Toggle individual class names + i = 0; + self = jQuery( this ); + classNames = classesToArray( value ); + + while ( ( className = classNames[ i++ ] ) ) { + + // Check each className given, space separated list + if ( self.hasClass( className ) ) { + self.removeClass( className ); + } else { + self.addClass( className ); + } + } + + // Toggle whole class name + } else if ( value === undefined || type === "boolean" ) { + className = getClass( this ); + if ( className ) { + + // Store className if set + dataPriv.set( this, "__className__", className ); + } + + // If the element has a class name or if we're passed `false`, + // then remove the whole classname (if there was one, the above saved it). + // Otherwise bring back whatever was previously saved (if anything), + // falling back to the empty string if nothing was stored. + if ( this.setAttribute ) { + this.setAttribute( "class", + className || value === false ? + "" : + dataPriv.get( this, "__className__" ) || "" + ); + } + } + } ); + }, + + hasClass: function( selector ) { + var className, elem, + i = 0; + + className = " " + selector + " "; + while ( ( elem = this[ i++ ] ) ) { + if ( elem.nodeType === 1 && + ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) { + return true; + } + } + + return false; + } +} ); + + + + +var rreturn = /\r/g; + +jQuery.fn.extend( { + val: function( value ) { + var hooks, ret, valueIsFunction, + elem = this[ 0 ]; + + if ( !arguments.length ) { + if ( elem ) { + hooks = jQuery.valHooks[ elem.type ] || + jQuery.valHooks[ elem.nodeName.toLowerCase() ]; + + if ( hooks && + "get" in hooks && + ( ret = hooks.get( elem, "value" ) ) !== undefined + ) { + return ret; + } + + ret = elem.value; + + // Handle most common string cases + if ( typeof ret === "string" ) { + return ret.replace( rreturn, "" ); + } + + // Handle cases where value is null/undef or number + return ret == null ? "" : ret; + } + + return; + } + + valueIsFunction = isFunction( value ); + + return this.each( function( i ) { + var val; + + if ( this.nodeType !== 1 ) { + return; + } + + if ( valueIsFunction ) { + val = value.call( this, i, jQuery( this ).val() ); + } else { + val = value; + } + + // Treat null/undefined as ""; convert numbers to string + if ( val == null ) { + val = ""; + + } else if ( typeof val === "number" ) { + val += ""; + + } else if ( Array.isArray( val ) ) { + val = jQuery.map( val, function( value ) { + return value == null ? "" : value + ""; + } ); + } + + hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; + + // If set returns undefined, fall back to normal setting + if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) { + this.value = val; + } + } ); + } +} ); + +jQuery.extend( { + valHooks: { + option: { + get: function( elem ) { + + var val = jQuery.find.attr( elem, "value" ); + return val != null ? + val : + + // Support: IE <=10 - 11 only + // option.text throws exceptions (#14686, #14858) + // Strip and collapse whitespace + // https://html.spec.whatwg.org/#strip-and-collapse-whitespace + stripAndCollapse( jQuery.text( elem ) ); + } + }, + select: { + get: function( elem ) { + var value, option, i, + options = elem.options, + index = elem.selectedIndex, + one = elem.type === "select-one", + values = one ? null : [], + max = one ? index + 1 : options.length; + + if ( index < 0 ) { + i = max; + + } else { + i = one ? index : 0; + } + + // Loop through all the selected options + for ( ; i < max; i++ ) { + option = options[ i ]; + + // Support: IE <=9 only + // IE8-9 doesn't update selected after form reset (#2551) + if ( ( option.selected || i === index ) && + + // Don't return options that are disabled or in a disabled optgroup + !option.disabled && + ( !option.parentNode.disabled || + !nodeName( option.parentNode, "optgroup" ) ) ) { + + // Get the specific value for the option + value = jQuery( option ).val(); + + // We don't need an array for one selects + if ( one ) { + return value; + } + + // Multi-Selects return an array + values.push( value ); + } + } + + return values; + }, + + set: function( elem, value ) { + var optionSet, option, + options = elem.options, + values = jQuery.makeArray( value ), + i = options.length; + + while ( i-- ) { + option = options[ i ]; + + /* eslint-disable no-cond-assign */ + + if ( option.selected = + jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1 + ) { + optionSet = true; + } + + /* eslint-enable no-cond-assign */ + } + + // Force browsers to behave consistently when non-matching value is set + if ( !optionSet ) { + elem.selectedIndex = -1; + } + return values; + } + } + } +} ); + +// Radios and checkboxes getter/setter +jQuery.each( [ "radio", "checkbox" ], function() { + jQuery.valHooks[ this ] = { + set: function( elem, value ) { + if ( Array.isArray( value ) ) { + return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 ); + } + } + }; + if ( !support.checkOn ) { + jQuery.valHooks[ this ].get = function( elem ) { + return elem.getAttribute( "value" ) === null ? "on" : elem.value; + }; + } +} ); + + + + +// Return jQuery for attributes-only inclusion + + +support.focusin = "onfocusin" in window; + + +var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/, + stopPropagationCallback = function( e ) { + e.stopPropagation(); + }; + +jQuery.extend( jQuery.event, { + + trigger: function( event, data, elem, onlyHandlers ) { + + var i, cur, tmp, bubbleType, ontype, handle, special, lastElement, + eventPath = [ elem || document ], + type = hasOwn.call( event, "type" ) ? event.type : event, + namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; + + cur = lastElement = tmp = elem = elem || document; + + // Don't do events on text and comment nodes + if ( elem.nodeType === 3 || elem.nodeType === 8 ) { + return; + } + + // focus/blur morphs to focusin/out; ensure we're not firing them right now + if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { + return; + } + + if ( type.indexOf( "." ) > -1 ) { + + // Namespaced trigger; create a regexp to match event type in handle() + namespaces = type.split( "." ); + type = namespaces.shift(); + namespaces.sort(); + } + ontype = type.indexOf( ":" ) < 0 && "on" + type; + + // Caller can pass in a jQuery.Event object, Object, or just an event type string + event = event[ jQuery.expando ] ? + event : + new jQuery.Event( type, typeof event === "object" && event ); + + // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) + event.isTrigger = onlyHandlers ? 2 : 3; + event.namespace = namespaces.join( "." ); + event.rnamespace = event.namespace ? + new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) : + null; + + // Clean up the event in case it is being reused + event.result = undefined; + if ( !event.target ) { + event.target = elem; + } + + // Clone any incoming data and prepend the event, creating the handler arg list + data = data == null ? + [ event ] : + jQuery.makeArray( data, [ event ] ); + + // Allow special events to draw outside the lines + special = jQuery.event.special[ type ] || {}; + if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { + return; + } + + // Determine event propagation path in advance, per W3C events spec (#9951) + // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) + if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) { + + bubbleType = special.delegateType || type; + if ( !rfocusMorph.test( bubbleType + type ) ) { + cur = cur.parentNode; + } + for ( ; cur; cur = cur.parentNode ) { + eventPath.push( cur ); + tmp = cur; + } + + // Only add window if we got to document (e.g., not plain obj or detached DOM) + if ( tmp === ( elem.ownerDocument || document ) ) { + eventPath.push( tmp.defaultView || tmp.parentWindow || window ); + } + } + + // Fire handlers on the event path + i = 0; + while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { + lastElement = cur; + event.type = i > 1 ? + bubbleType : + special.bindType || type; + + // jQuery handler + handle = ( + dataPriv.get( cur, "events" ) || Object.create( null ) + )[ event.type ] && + dataPriv.get( cur, "handle" ); + if ( handle ) { + handle.apply( cur, data ); + } + + // Native handler + handle = ontype && cur[ ontype ]; + if ( handle && handle.apply && acceptData( cur ) ) { + event.result = handle.apply( cur, data ); + if ( event.result === false ) { + event.preventDefault(); + } + } + } + event.type = type; + + // If nobody prevented the default action, do it now + if ( !onlyHandlers && !event.isDefaultPrevented() ) { + + if ( ( !special._default || + special._default.apply( eventPath.pop(), data ) === false ) && + acceptData( elem ) ) { + + // Call a native DOM method on the target with the same name as the event. + // Don't do default actions on window, that's where global variables be (#6170) + if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) { + + // Don't re-trigger an onFOO event when we call its FOO() method + tmp = elem[ ontype ]; + + if ( tmp ) { + elem[ ontype ] = null; + } + + // Prevent re-triggering of the same event, since we already bubbled it above + jQuery.event.triggered = type; + + if ( event.isPropagationStopped() ) { + lastElement.addEventListener( type, stopPropagationCallback ); + } + + elem[ type ](); + + if ( event.isPropagationStopped() ) { + lastElement.removeEventListener( type, stopPropagationCallback ); + } + + jQuery.event.triggered = undefined; + + if ( tmp ) { + elem[ ontype ] = tmp; + } + } + } + } + + return event.result; + }, + + // Piggyback on a donor event to simulate a different one + // Used only for `focus(in | out)` events + simulate: function( type, elem, event ) { + var e = jQuery.extend( + new jQuery.Event(), + event, + { + type: type, + isSimulated: true + } + ); + + jQuery.event.trigger( e, null, elem ); + } + +} ); + +jQuery.fn.extend( { + + trigger: function( type, data ) { + return this.each( function() { + jQuery.event.trigger( type, data, this ); + } ); + }, + triggerHandler: function( type, data ) { + var elem = this[ 0 ]; + if ( elem ) { + return jQuery.event.trigger( type, data, elem, true ); + } + } +} ); + + +// Support: Firefox <=44 +// Firefox doesn't have focus(in | out) events +// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 +// +// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1 +// focus(in | out) events fire after focus & blur events, +// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order +// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857 +if ( !support.focusin ) { + jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) { + + // Attach a single capturing handler on the document while someone wants focusin/focusout + var handler = function( event ) { + jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) ); + }; + + jQuery.event.special[ fix ] = { + setup: function() { + + // Handle: regular nodes (via `this.ownerDocument`), window + // (via `this.document`) & document (via `this`). + var doc = this.ownerDocument || this.document || this, + attaches = dataPriv.access( doc, fix ); + + if ( !attaches ) { + doc.addEventListener( orig, handler, true ); + } + dataPriv.access( doc, fix, ( attaches || 0 ) + 1 ); + }, + teardown: function() { + var doc = this.ownerDocument || this.document || this, + attaches = dataPriv.access( doc, fix ) - 1; + + if ( !attaches ) { + doc.removeEventListener( orig, handler, true ); + dataPriv.remove( doc, fix ); + + } else { + dataPriv.access( doc, fix, attaches ); + } + } + }; + } ); +} +var location = window.location; + +var nonce = { guid: Date.now() }; + +var rquery = ( /\?/ ); + + + +// Cross-browser xml parsing +jQuery.parseXML = function( data ) { + var xml; + if ( !data || typeof data !== "string" ) { + return null; + } + + // Support: IE 9 - 11 only + // IE throws on parseFromString with invalid input. + try { + xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" ); + } catch ( e ) { + xml = undefined; + } + + if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) { + jQuery.error( "Invalid XML: " + data ); + } + return xml; +}; + + +var + rbracket = /\[\]$/, + rCRLF = /\r?\n/g, + rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, + rsubmittable = /^(?:input|select|textarea|keygen)/i; + +function buildParams( prefix, obj, traditional, add ) { + var name; + + if ( Array.isArray( obj ) ) { + + // Serialize array item. + jQuery.each( obj, function( i, v ) { + if ( traditional || rbracket.test( prefix ) ) { + + // Treat each array item as a scalar. + add( prefix, v ); + + } else { + + // Item is non-scalar (array or object), encode its numeric index. + buildParams( + prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]", + v, + traditional, + add + ); + } + } ); + + } else if ( !traditional && toType( obj ) === "object" ) { + + // Serialize object item. + for ( name in obj ) { + buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); + } + + } else { + + // Serialize scalar item. + add( prefix, obj ); + } +} + +// Serialize an array of form elements or a set of +// key/values into a query string +jQuery.param = function( a, traditional ) { + var prefix, + s = [], + add = function( key, valueOrFunction ) { + + // If value is a function, invoke it and use its return value + var value = isFunction( valueOrFunction ) ? + valueOrFunction() : + valueOrFunction; + + s[ s.length ] = encodeURIComponent( key ) + "=" + + encodeURIComponent( value == null ? "" : value ); + }; + + if ( a == null ) { + return ""; + } + + // If an array was passed in, assume that it is an array of form elements. + if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { + + // Serialize the form elements + jQuery.each( a, function() { + add( this.name, this.value ); + } ); + + } else { + + // If traditional, encode the "old" way (the way 1.3.2 or older + // did it), otherwise encode params recursively. + for ( prefix in a ) { + buildParams( prefix, a[ prefix ], traditional, add ); + } + } + + // Return the resulting serialization + return s.join( "&" ); +}; + +jQuery.fn.extend( { + serialize: function() { + return jQuery.param( this.serializeArray() ); + }, + serializeArray: function() { + return this.map( function() { + + // Can add propHook for "elements" to filter or add form elements + var elements = jQuery.prop( this, "elements" ); + return elements ? jQuery.makeArray( elements ) : this; + } ) + .filter( function() { + var type = this.type; + + // Use .is( ":disabled" ) so that fieldset[disabled] works + return this.name && !jQuery( this ).is( ":disabled" ) && + rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && + ( this.checked || !rcheckableType.test( type ) ); + } ) + .map( function( _i, elem ) { + var val = jQuery( this ).val(); + + if ( val == null ) { + return null; + } + + if ( Array.isArray( val ) ) { + return jQuery.map( val, function( val ) { + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + } ); + } + + return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; + } ).get(); + } +} ); + + +var + r20 = /%20/g, + rhash = /#.*$/, + rantiCache = /([?&])_=[^&]*/, + rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, + + // #7653, #8125, #8152: local protocol detection + rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, + rnoContent = /^(?:GET|HEAD)$/, + rprotocol = /^\/\//, + + /* Prefilters + * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) + * 2) These are called: + * - BEFORE asking for a transport + * - AFTER param serialization (s.data is a string if s.processData is true) + * 3) key is the dataType + * 4) the catchall symbol "*" can be used + * 5) execution will start with transport dataType and THEN continue down to "*" if needed + */ + prefilters = {}, + + /* Transports bindings + * 1) key is the dataType + * 2) the catchall symbol "*" can be used + * 3) selection will start with transport dataType and THEN go to "*" if needed + */ + transports = {}, + + // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression + allTypes = "*/".concat( "*" ), + + // Anchor tag for parsing the document origin + originAnchor = document.createElement( "a" ); + originAnchor.href = location.href; + +// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport +function addToPrefiltersOrTransports( structure ) { + + // dataTypeExpression is optional and defaults to "*" + return function( dataTypeExpression, func ) { + + if ( typeof dataTypeExpression !== "string" ) { + func = dataTypeExpression; + dataTypeExpression = "*"; + } + + var dataType, + i = 0, + dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; + + if ( isFunction( func ) ) { + + // For each dataType in the dataTypeExpression + while ( ( dataType = dataTypes[ i++ ] ) ) { + + // Prepend if requested + if ( dataType[ 0 ] === "+" ) { + dataType = dataType.slice( 1 ) || "*"; + ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func ); + + // Otherwise append + } else { + ( structure[ dataType ] = structure[ dataType ] || [] ).push( func ); + } + } + } + }; +} + +// Base inspection function for prefilters and transports +function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { + + var inspected = {}, + seekingTransport = ( structure === transports ); + + function inspect( dataType ) { + var selected; + inspected[ dataType ] = true; + jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { + var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); + if ( typeof dataTypeOrTransport === "string" && + !seekingTransport && !inspected[ dataTypeOrTransport ] ) { + + options.dataTypes.unshift( dataTypeOrTransport ); + inspect( dataTypeOrTransport ); + return false; + } else if ( seekingTransport ) { + return !( selected = dataTypeOrTransport ); + } + } ); + return selected; + } + + return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); +} + +// A special extend for ajax options +// that takes "flat" options (not to be deep extended) +// Fixes #9887 +function ajaxExtend( target, src ) { + var key, deep, + flatOptions = jQuery.ajaxSettings.flatOptions || {}; + + for ( key in src ) { + if ( src[ key ] !== undefined ) { + ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ]; + } + } + if ( deep ) { + jQuery.extend( true, target, deep ); + } + + return target; +} + +/* Handles responses to an ajax request: + * - finds the right dataType (mediates between content-type and expected dataType) + * - returns the corresponding response + */ +function ajaxHandleResponses( s, jqXHR, responses ) { + + var ct, type, finalDataType, firstDataType, + contents = s.contents, + dataTypes = s.dataTypes; + + // Remove auto dataType and get content-type in the process + while ( dataTypes[ 0 ] === "*" ) { + dataTypes.shift(); + if ( ct === undefined ) { + ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" ); + } + } + + // Check if we're dealing with a known content-type + if ( ct ) { + for ( type in contents ) { + if ( contents[ type ] && contents[ type ].test( ct ) ) { + dataTypes.unshift( type ); + break; + } + } + } + + // Check to see if we have a response for the expected dataType + if ( dataTypes[ 0 ] in responses ) { + finalDataType = dataTypes[ 0 ]; + } else { + + // Try convertible dataTypes + for ( type in responses ) { + if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) { + finalDataType = type; + break; + } + if ( !firstDataType ) { + firstDataType = type; + } + } + + // Or just use first one + finalDataType = finalDataType || firstDataType; + } + + // If we found a dataType + // We add the dataType to the list if needed + // and return the corresponding response + if ( finalDataType ) { + if ( finalDataType !== dataTypes[ 0 ] ) { + dataTypes.unshift( finalDataType ); + } + return responses[ finalDataType ]; + } +} + +/* Chain conversions given the request and the original response + * Also sets the responseXXX fields on the jqXHR instance + */ +function ajaxConvert( s, response, jqXHR, isSuccess ) { + var conv2, current, conv, tmp, prev, + converters = {}, + + // Work with a copy of dataTypes in case we need to modify it for conversion + dataTypes = s.dataTypes.slice(); + + // Create converters map with lowercased keys + if ( dataTypes[ 1 ] ) { + for ( conv in s.converters ) { + converters[ conv.toLowerCase() ] = s.converters[ conv ]; + } + } + + current = dataTypes.shift(); + + // Convert to each sequential dataType + while ( current ) { + + if ( s.responseFields[ current ] ) { + jqXHR[ s.responseFields[ current ] ] = response; + } + + // Apply the dataFilter if provided + if ( !prev && isSuccess && s.dataFilter ) { + response = s.dataFilter( response, s.dataType ); + } + + prev = current; + current = dataTypes.shift(); + + if ( current ) { + + // There's only work to do if current dataType is non-auto + if ( current === "*" ) { + + current = prev; + + // Convert response if prev dataType is non-auto and differs from current + } else if ( prev !== "*" && prev !== current ) { + + // Seek a direct converter + conv = converters[ prev + " " + current ] || converters[ "* " + current ]; + + // If none found, seek a pair + if ( !conv ) { + for ( conv2 in converters ) { + + // If conv2 outputs current + tmp = conv2.split( " " ); + if ( tmp[ 1 ] === current ) { + + // If prev can be converted to accepted input + conv = converters[ prev + " " + tmp[ 0 ] ] || + converters[ "* " + tmp[ 0 ] ]; + if ( conv ) { + + // Condense equivalence converters + if ( conv === true ) { + conv = converters[ conv2 ]; + + // Otherwise, insert the intermediate dataType + } else if ( converters[ conv2 ] !== true ) { + current = tmp[ 0 ]; + dataTypes.unshift( tmp[ 1 ] ); + } + break; + } + } + } + } + + // Apply converter (if not an equivalence) + if ( conv !== true ) { + + // Unless errors are allowed to bubble, catch and return them + if ( conv && s.throws ) { + response = conv( response ); + } else { + try { + response = conv( response ); + } catch ( e ) { + return { + state: "parsererror", + error: conv ? e : "No conversion from " + prev + " to " + current + }; + } + } + } + } + } + } + + return { state: "success", data: response }; +} + +jQuery.extend( { + + // Counter for holding the number of active queries + active: 0, + + // Last-Modified header cache for next request + lastModified: {}, + etag: {}, + + ajaxSettings: { + url: location.href, + type: "GET", + isLocal: rlocalProtocol.test( location.protocol ), + global: true, + processData: true, + async: true, + contentType: "application/x-www-form-urlencoded; charset=UTF-8", + + /* + timeout: 0, + data: null, + dataType: null, + username: null, + password: null, + cache: null, + throws: false, + traditional: false, + headers: {}, + */ + + accepts: { + "*": allTypes, + text: "text/plain", + html: "text/html", + xml: "application/xml, text/xml", + json: "application/json, text/javascript" + }, + + contents: { + xml: /\bxml\b/, + html: /\bhtml/, + json: /\bjson\b/ + }, + + responseFields: { + xml: "responseXML", + text: "responseText", + json: "responseJSON" + }, + + // Data converters + // Keys separate source (or catchall "*") and destination types with a single space + converters: { + + // Convert anything to text + "* text": String, + + // Text to html (true = no transformation) + "text html": true, + + // Evaluate text as a json expression + "text json": JSON.parse, + + // Parse text as xml + "text xml": jQuery.parseXML + }, + + // For options that shouldn't be deep extended: + // you can add your own custom options here if + // and when you create one that shouldn't be + // deep extended (see ajaxExtend) + flatOptions: { + url: true, + context: true + } + }, + + // Creates a full fledged settings object into target + // with both ajaxSettings and settings fields. + // If target is omitted, writes into ajaxSettings. + ajaxSetup: function( target, settings ) { + return settings ? + + // Building a settings object + ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : + + // Extending ajaxSettings + ajaxExtend( jQuery.ajaxSettings, target ); + }, + + ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), + ajaxTransport: addToPrefiltersOrTransports( transports ), + + // Main method + ajax: function( url, options ) { + + // If url is an object, simulate pre-1.5 signature + if ( typeof url === "object" ) { + options = url; + url = undefined; + } + + // Force options to be an object + options = options || {}; + + var transport, + + // URL without anti-cache param + cacheURL, + + // Response headers + responseHeadersString, + responseHeaders, + + // timeout handle + timeoutTimer, + + // Url cleanup var + urlAnchor, + + // Request state (becomes false upon send and true upon completion) + completed, + + // To know if global events are to be dispatched + fireGlobals, + + // Loop variable + i, + + // uncached part of the url + uncached, + + // Create the final options object + s = jQuery.ajaxSetup( {}, options ), + + // Callbacks context + callbackContext = s.context || s, + + // Context for global events is callbackContext if it is a DOM node or jQuery collection + globalEventContext = s.context && + ( callbackContext.nodeType || callbackContext.jquery ) ? + jQuery( callbackContext ) : + jQuery.event, + + // Deferreds + deferred = jQuery.Deferred(), + completeDeferred = jQuery.Callbacks( "once memory" ), + + // Status-dependent callbacks + statusCode = s.statusCode || {}, + + // Headers (they are sent all at once) + requestHeaders = {}, + requestHeadersNames = {}, + + // Default abort message + strAbort = "canceled", + + // Fake xhr + jqXHR = { + readyState: 0, + + // Builds headers hashtable if needed + getResponseHeader: function( key ) { + var match; + if ( completed ) { + if ( !responseHeaders ) { + responseHeaders = {}; + while ( ( match = rheaders.exec( responseHeadersString ) ) ) { + responseHeaders[ match[ 1 ].toLowerCase() + " " ] = + ( responseHeaders[ match[ 1 ].toLowerCase() + " " ] || [] ) + .concat( match[ 2 ] ); + } + } + match = responseHeaders[ key.toLowerCase() + " " ]; + } + return match == null ? null : match.join( ", " ); + }, + + // Raw string + getAllResponseHeaders: function() { + return completed ? responseHeadersString : null; + }, + + // Caches the header + setRequestHeader: function( name, value ) { + if ( completed == null ) { + name = requestHeadersNames[ name.toLowerCase() ] = + requestHeadersNames[ name.toLowerCase() ] || name; + requestHeaders[ name ] = value; + } + return this; + }, + + // Overrides response content-type header + overrideMimeType: function( type ) { + if ( completed == null ) { + s.mimeType = type; + } + return this; + }, + + // Status-dependent callbacks + statusCode: function( map ) { + var code; + if ( map ) { + if ( completed ) { + + // Execute the appropriate callbacks + jqXHR.always( map[ jqXHR.status ] ); + } else { + + // Lazy-add the new callbacks in a way that preserves old ones + for ( code in map ) { + statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; + } + } + } + return this; + }, + + // Cancel the request + abort: function( statusText ) { + var finalText = statusText || strAbort; + if ( transport ) { + transport.abort( finalText ); + } + done( 0, finalText ); + return this; + } + }; + + // Attach deferreds + deferred.promise( jqXHR ); + + // Add protocol if not provided (prefilters might expect it) + // Handle falsy url in the settings object (#10093: consistency with old signature) + // We also use the url parameter if available + s.url = ( ( url || s.url || location.href ) + "" ) + .replace( rprotocol, location.protocol + "//" ); + + // Alias method option to type as per ticket #12004 + s.type = options.method || options.type || s.method || s.type; + + // Extract dataTypes list + s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ]; + + // A cross-domain request is in order when the origin doesn't match the current origin. + if ( s.crossDomain == null ) { + urlAnchor = document.createElement( "a" ); + + // Support: IE <=8 - 11, Edge 12 - 15 + // IE throws exception on accessing the href property if url is malformed, + // e.g. http://example.com:80x/ + try { + urlAnchor.href = s.url; + + // Support: IE <=8 - 11 only + // Anchor's host property isn't correctly set when s.url is relative + urlAnchor.href = urlAnchor.href; + s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !== + urlAnchor.protocol + "//" + urlAnchor.host; + } catch ( e ) { + + // If there is an error parsing the URL, assume it is crossDomain, + // it can be rejected by the transport if it is invalid + s.crossDomain = true; + } + } + + // Convert data if not already a string + if ( s.data && s.processData && typeof s.data !== "string" ) { + s.data = jQuery.param( s.data, s.traditional ); + } + + // Apply prefilters + inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); + + // If request was aborted inside a prefilter, stop there + if ( completed ) { + return jqXHR; + } + + // We can fire global events as of now if asked to + // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118) + fireGlobals = jQuery.event && s.global; + + // Watch for a new set of requests + if ( fireGlobals && jQuery.active++ === 0 ) { + jQuery.event.trigger( "ajaxStart" ); + } + + // Uppercase the type + s.type = s.type.toUpperCase(); + + // Determine if request has content + s.hasContent = !rnoContent.test( s.type ); + + // Save the URL in case we're toying with the If-Modified-Since + // and/or If-None-Match header later on + // Remove hash to simplify url manipulation + cacheURL = s.url.replace( rhash, "" ); + + // More options handling for requests with no content + if ( !s.hasContent ) { + + // Remember the hash so we can put it back + uncached = s.url.slice( cacheURL.length ); + + // If data is available and should be processed, append data to url + if ( s.data && ( s.processData || typeof s.data === "string" ) ) { + cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; + + // #9682: remove data so that it's not used in an eventual retry + delete s.data; + } + + // Add or update anti-cache param if needed + if ( s.cache === false ) { + cacheURL = cacheURL.replace( rantiCache, "$1" ); + uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce.guid++ ) + + uncached; + } + + // Put hash and anti-cache on the URL that will be requested (gh-1732) + s.url = cacheURL + uncached; + + // Change '%20' to '+' if this is encoded form body content (gh-2658) + } else if ( s.data && s.processData && + ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) { + s.data = s.data.replace( r20, "+" ); + } + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + if ( jQuery.lastModified[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); + } + if ( jQuery.etag[ cacheURL ] ) { + jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); + } + } + + // Set the correct header, if data is being sent + if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { + jqXHR.setRequestHeader( "Content-Type", s.contentType ); + } + + // Set the Accepts header for the server, depending on the dataType + jqXHR.setRequestHeader( + "Accept", + s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ? + s.accepts[ s.dataTypes[ 0 ] ] + + ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : + s.accepts[ "*" ] + ); + + // Check for headers option + for ( i in s.headers ) { + jqXHR.setRequestHeader( i, s.headers[ i ] ); + } + + // Allow custom headers/mimetypes and early abort + if ( s.beforeSend && + ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) { + + // Abort if not done already and return + return jqXHR.abort(); + } + + // Aborting is no longer a cancellation + strAbort = "abort"; + + // Install callbacks on deferreds + completeDeferred.add( s.complete ); + jqXHR.done( s.success ); + jqXHR.fail( s.error ); + + // Get transport + transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); + + // If no transport, we auto-abort + if ( !transport ) { + done( -1, "No Transport" ); + } else { + jqXHR.readyState = 1; + + // Send global event + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); + } + + // If request was aborted inside ajaxSend, stop there + if ( completed ) { + return jqXHR; + } + + // Timeout + if ( s.async && s.timeout > 0 ) { + timeoutTimer = window.setTimeout( function() { + jqXHR.abort( "timeout" ); + }, s.timeout ); + } + + try { + completed = false; + transport.send( requestHeaders, done ); + } catch ( e ) { + + // Rethrow post-completion exceptions + if ( completed ) { + throw e; + } + + // Propagate others as results + done( -1, e ); + } + } + + // Callback for when everything is done + function done( status, nativeStatusText, responses, headers ) { + var isSuccess, success, error, response, modified, + statusText = nativeStatusText; + + // Ignore repeat invocations + if ( completed ) { + return; + } + + completed = true; + + // Clear timeout if it exists + if ( timeoutTimer ) { + window.clearTimeout( timeoutTimer ); + } + + // Dereference transport for early garbage collection + // (no matter how long the jqXHR object will be used) + transport = undefined; + + // Cache response headers + responseHeadersString = headers || ""; + + // Set readyState + jqXHR.readyState = status > 0 ? 4 : 0; + + // Determine if successful + isSuccess = status >= 200 && status < 300 || status === 304; + + // Get response data + if ( responses ) { + response = ajaxHandleResponses( s, jqXHR, responses ); + } + + // Use a noop converter for missing script + if ( !isSuccess && jQuery.inArray( "script", s.dataTypes ) > -1 ) { + s.converters[ "text script" ] = function() {}; + } + + // Convert no matter what (that way responseXXX fields are always set) + response = ajaxConvert( s, response, jqXHR, isSuccess ); + + // If successful, handle type chaining + if ( isSuccess ) { + + // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. + if ( s.ifModified ) { + modified = jqXHR.getResponseHeader( "Last-Modified" ); + if ( modified ) { + jQuery.lastModified[ cacheURL ] = modified; + } + modified = jqXHR.getResponseHeader( "etag" ); + if ( modified ) { + jQuery.etag[ cacheURL ] = modified; + } + } + + // if no content + if ( status === 204 || s.type === "HEAD" ) { + statusText = "nocontent"; + + // if not modified + } else if ( status === 304 ) { + statusText = "notmodified"; + + // If we have data, let's convert it + } else { + statusText = response.state; + success = response.data; + error = response.error; + isSuccess = !error; + } + } else { + + // Extract error from statusText and normalize for non-aborts + error = statusText; + if ( status || !statusText ) { + statusText = "error"; + if ( status < 0 ) { + status = 0; + } + } + } + + // Set data for the fake xhr object + jqXHR.status = status; + jqXHR.statusText = ( nativeStatusText || statusText ) + ""; + + // Success/Error + if ( isSuccess ) { + deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); + } else { + deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); + } + + // Status-dependent callbacks + jqXHR.statusCode( statusCode ); + statusCode = undefined; + + if ( fireGlobals ) { + globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", + [ jqXHR, s, isSuccess ? success : error ] ); + } + + // Complete + completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); + + if ( fireGlobals ) { + globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); + + // Handle the global AJAX counter + if ( !( --jQuery.active ) ) { + jQuery.event.trigger( "ajaxStop" ); + } + } + } + + return jqXHR; + }, + + getJSON: function( url, data, callback ) { + return jQuery.get( url, data, callback, "json" ); + }, + + getScript: function( url, callback ) { + return jQuery.get( url, undefined, callback, "script" ); + } +} ); + +jQuery.each( [ "get", "post" ], function( _i, method ) { + jQuery[ method ] = function( url, data, callback, type ) { + + // Shift arguments if data argument was omitted + if ( isFunction( data ) ) { + type = type || callback; + callback = data; + data = undefined; + } + + // The url can be an options object (which then must have .url) + return jQuery.ajax( jQuery.extend( { + url: url, + type: method, + dataType: type, + data: data, + success: callback + }, jQuery.isPlainObject( url ) && url ) ); + }; +} ); + +jQuery.ajaxPrefilter( function( s ) { + var i; + for ( i in s.headers ) { + if ( i.toLowerCase() === "content-type" ) { + s.contentType = s.headers[ i ] || ""; + } + } +} ); + + +jQuery._evalUrl = function( url, options, doc ) { + return jQuery.ajax( { + url: url, + + // Make this explicit, since user can override this through ajaxSetup (#11264) + type: "GET", + dataType: "script", + cache: true, + async: false, + global: false, + + // Only evaluate the response if it is successful (gh-4126) + // dataFilter is not invoked for failure responses, so using it instead + // of the default converter is kludgy but it works. + converters: { + "text script": function() {} + }, + dataFilter: function( response ) { + jQuery.globalEval( response, options, doc ); + } + } ); +}; + + +jQuery.fn.extend( { + wrapAll: function( html ) { + var wrap; + + if ( this[ 0 ] ) { + if ( isFunction( html ) ) { + html = html.call( this[ 0 ] ); + } + + // The elements to wrap the target around + wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); + + if ( this[ 0 ].parentNode ) { + wrap.insertBefore( this[ 0 ] ); + } + + wrap.map( function() { + var elem = this; + + while ( elem.firstElementChild ) { + elem = elem.firstElementChild; + } + + return elem; + } ).append( this ); + } + + return this; + }, + + wrapInner: function( html ) { + if ( isFunction( html ) ) { + return this.each( function( i ) { + jQuery( this ).wrapInner( html.call( this, i ) ); + } ); + } + + return this.each( function() { + var self = jQuery( this ), + contents = self.contents(); + + if ( contents.length ) { + contents.wrapAll( html ); + + } else { + self.append( html ); + } + } ); + }, + + wrap: function( html ) { + var htmlIsFunction = isFunction( html ); + + return this.each( function( i ) { + jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html ); + } ); + }, + + unwrap: function( selector ) { + this.parent( selector ).not( "body" ).each( function() { + jQuery( this ).replaceWith( this.childNodes ); + } ); + return this; + } +} ); + + +jQuery.expr.pseudos.hidden = function( elem ) { + return !jQuery.expr.pseudos.visible( elem ); +}; +jQuery.expr.pseudos.visible = function( elem ) { + return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length ); +}; + + + + +jQuery.ajaxSettings.xhr = function() { + try { + return new window.XMLHttpRequest(); + } catch ( e ) {} +}; + +var xhrSuccessStatus = { + + // File protocol always yields status code 0, assume 200 + 0: 200, + + // Support: IE <=9 only + // #1450: sometimes IE returns 1223 when it should be 204 + 1223: 204 + }, + xhrSupported = jQuery.ajaxSettings.xhr(); + +support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported ); +support.ajax = xhrSupported = !!xhrSupported; + +jQuery.ajaxTransport( function( options ) { + var callback, errorCallback; + + // Cross domain only allowed if supported through XMLHttpRequest + if ( support.cors || xhrSupported && !options.crossDomain ) { + return { + send: function( headers, complete ) { + var i, + xhr = options.xhr(); + + xhr.open( + options.type, + options.url, + options.async, + options.username, + options.password + ); + + // Apply custom fields if provided + if ( options.xhrFields ) { + for ( i in options.xhrFields ) { + xhr[ i ] = options.xhrFields[ i ]; + } + } + + // Override mime type if needed + if ( options.mimeType && xhr.overrideMimeType ) { + xhr.overrideMimeType( options.mimeType ); + } + + // X-Requested-With header + // For cross-domain requests, seeing as conditions for a preflight are + // akin to a jigsaw puzzle, we simply never set it to be sure. + // (it can always be set on a per-request basis or even using ajaxSetup) + // For same-domain requests, won't change header if already provided. + if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) { + headers[ "X-Requested-With" ] = "XMLHttpRequest"; + } + + // Set headers + for ( i in headers ) { + xhr.setRequestHeader( i, headers[ i ] ); + } + + // Callback + callback = function( type ) { + return function() { + if ( callback ) { + callback = errorCallback = xhr.onload = + xhr.onerror = xhr.onabort = xhr.ontimeout = + xhr.onreadystatechange = null; + + if ( type === "abort" ) { + xhr.abort(); + } else if ( type === "error" ) { + + // Support: IE <=9 only + // On a manual native abort, IE9 throws + // errors on any property access that is not readyState + if ( typeof xhr.status !== "number" ) { + complete( 0, "error" ); + } else { + complete( + + // File: protocol always yields status 0; see #8605, #14207 + xhr.status, + xhr.statusText + ); + } + } else { + complete( + xhrSuccessStatus[ xhr.status ] || xhr.status, + xhr.statusText, + + // Support: IE <=9 only + // IE9 has no XHR2 but throws on binary (trac-11426) + // For XHR2 non-text, let the caller handle it (gh-2498) + ( xhr.responseType || "text" ) !== "text" || + typeof xhr.responseText !== "string" ? + { binary: xhr.response } : + { text: xhr.responseText }, + xhr.getAllResponseHeaders() + ); + } + } + }; + }; + + // Listen to events + xhr.onload = callback(); + errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" ); + + // Support: IE 9 only + // Use onreadystatechange to replace onabort + // to handle uncaught aborts + if ( xhr.onabort !== undefined ) { + xhr.onabort = errorCallback; + } else { + xhr.onreadystatechange = function() { + + // Check readyState before timeout as it changes + if ( xhr.readyState === 4 ) { + + // Allow onerror to be called first, + // but that will not handle a native abort + // Also, save errorCallback to a variable + // as xhr.onerror cannot be accessed + window.setTimeout( function() { + if ( callback ) { + errorCallback(); + } + } ); + } + }; + } + + // Create the abort callback + callback = callback( "abort" ); + + try { + + // Do send the request (this may raise an exception) + xhr.send( options.hasContent && options.data || null ); + } catch ( e ) { + + // #14683: Only rethrow if this hasn't been notified as an error yet + if ( callback ) { + throw e; + } + } + }, + + abort: function() { + if ( callback ) { + callback(); + } + } + }; + } +} ); + + + + +// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432) +jQuery.ajaxPrefilter( function( s ) { + if ( s.crossDomain ) { + s.contents.script = false; + } +} ); + +// Install script dataType +jQuery.ajaxSetup( { + accepts: { + script: "text/javascript, application/javascript, " + + "application/ecmascript, application/x-ecmascript" + }, + contents: { + script: /\b(?:java|ecma)script\b/ + }, + converters: { + "text script": function( text ) { + jQuery.globalEval( text ); + return text; + } + } +} ); + +// Handle cache's special case and crossDomain +jQuery.ajaxPrefilter( "script", function( s ) { + if ( s.cache === undefined ) { + s.cache = false; + } + if ( s.crossDomain ) { + s.type = "GET"; + } +} ); + +// Bind script tag hack transport +jQuery.ajaxTransport( "script", function( s ) { + + // This transport only deals with cross domain or forced-by-attrs requests + if ( s.crossDomain || s.scriptAttrs ) { + var script, callback; + return { + send: function( _, complete ) { + script = jQuery( " +{% endmacro %} diff --git a/jupyterbook/_build/html/_static/scripts/pydata-sphinx-theme.js b/jupyterbook/_build/html/_static/scripts/pydata-sphinx-theme.js new file mode 100644 index 0000000..0e00c4c --- /dev/null +++ b/jupyterbook/_build/html/_static/scripts/pydata-sphinx-theme.js @@ -0,0 +1,32 @@ +!function(t){var e={};function n(i){if(e[i])return e[i].exports;var o=e[i]={i:i,l:!1,exports:{}};return t[i].call(o.exports,o,o.exports,n),o.l=!0,o.exports}n.m=t,n.c=e,n.d=function(t,e,i){n.o(t,e)||Object.defineProperty(t,e,{enumerable:!0,get:i})},n.r=function(t){"undefined"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(t,Symbol.toStringTag,{value:"Module"}),Object.defineProperty(t,"__esModule",{value:!0})},n.t=function(t,e){if(1&e&&(t=n(t)),8&e)return t;if(4&e&&"object"==typeof t&&t&&t.__esModule)return t;var i=Object.create(null);if(n.r(i),Object.defineProperty(i,"default",{enumerable:!0,value:t}),2&e&&"string"!=typeof t)for(var o in t)n.d(i,o,function(e){return t[e]}.bind(null,o));return i},n.n=function(t){var e=t&&t.__esModule?function(){return t.default}:function(){return t};return n.d(e,"a",e),e},n.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},n.p="",n(n.s=2)}([function(t,e){t.exports=jQuery},function(t,e,n){"use strict";n.r(e),function(t){ +/**! + * @fileOverview Kickass library to create and place poppers near their reference elements. + * @version 1.16.1 + * @license + * Copyright (c) 2016 Federico Zivolo and contributors + * + * Permission is hereby granted, free of charge, to any person obtaining a copy + * of this software and associated documentation files (the "Software"), to deal + * in the Software without restriction, including without limitation the rights + * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + * copies of the Software, and to permit persons to whom the Software is + * furnished to do so, subject to the following conditions: + * + * The above copyright notice and this permission notice shall be included in all + * copies or substantial portions of the Software. + * + * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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+ }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: {0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5}, // used to be unimportantResults + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + partialTitle: 7, + // query found in terms + term: 5, + partialTerm: 2 + }; +} + +if (!splitQuery) { + function splitQuery(query) { + return query.split(/\s+/); + } +} + +/** + * Search Module + */ +var Search = { + + _index : null, + _queued_query : null, + _pulse_status : -1, + + htmlToText : function(htmlString) { + var virtualDocument = document.implementation.createHTMLDocument('virtual'); + var htmlElement = $(htmlString, virtualDocument); + htmlElement.find('.headerlink').remove(); + docContent = htmlElement.find('[role=main]')[0]; + if(docContent === undefined) { + console.warn("Content block not found. Sphinx search tries to obtain it " + + "via '[role=main]'. Could you check your theme or template."); + return ""; + } + return docContent.textContent || docContent.innerText; + }, + + init : function() { + var params = $.getQueryParameters(); + if (params.q) { + var query = params.q[0]; + $('input[name="q"]')[0].value = query; + this.performSearch(query); + } + }, + + loadIndex : function(url) { + $.ajax({type: "GET", url: url, data: null, + dataType: "script", cache: true, + complete: function(jqxhr, textstatus) { + if (textstatus != "success") { + document.getElementById("searchindexloader").src = url; + } + }}); + }, + + setIndex : function(index) { + var q; + this._index = index; + if ((q = this._queued_query) !== null) { + this._queued_query = null; + Search.query(q); + } + }, + + hasIndex : function() { + return this._index !== null; + }, + + deferQuery : function(query) { + this._queued_query = query; + }, + + stopPulse : function() { + this._pulse_status = 0; + }, + + startPulse : function() { + if (this._pulse_status >= 0) + return; + function pulse() { + var i; + Search._pulse_status = (Search._pulse_status + 1) % 4; + var dotString = ''; + for (i = 0; i < Search._pulse_status; i++) + dotString += '.'; + Search.dots.text(dotString); + if (Search._pulse_status > -1) + window.setTimeout(pulse, 500); + } + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch : function(query) { + // create the required interface elements + this.out = $('#search-results'); + this.title = $('

' + _('Searching') + '

').appendTo(this.out); + this.dots = $('').appendTo(this.title); + this.status = $('

 

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