{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np\nimport pandas as pd","metadata":{"papermill":{"duration":0.023295,"end_time":"2022-06-03T21:13:10.412151","exception":false,"start_time":"2022-06-03T21:13:10.388856","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-03-29T16:21:10.890160Z","iopub.execute_input":"2023-03-29T16:21:10.891033Z","iopub.status.idle":"2023-03-29T16:21:10.921942Z","shell.execute_reply.started":"2023-03-29T16:21:10.890930Z","shell.execute_reply":"2023-03-29T16:21:10.920668Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import jo_wilder\nenv = jo_wilder.make_env()\niter_test = env.iter_test()","metadata":{"papermill":{"duration":0.036198,"end_time":"2022-06-03T21:13:10.454318","exception":false,"start_time":"2022-06-03T21:13:10.41812","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-03-29T16:21:10.923872Z","iopub.execute_input":"2023-03-29T16:21:10.924205Z","iopub.status.idle":"2023-03-29T16:21:10.958563Z","shell.execute_reply.started":"2023-03-29T16:21:10.924176Z","shell.execute_reply":"2023-03-29T16:21:10.957656Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pred_value = 0\n# The API will deliver two dataframes in this specific order,\n# for every session+level grouping (one group per session for each checkpoint)\nfor (test, sample_submission) in iter_test:\n    min_level_diff = min(test[\"level\"].diff().values)\n    if min_level_diff < 0:\n        pred_value = 1\n        \n    ## users make predictions here using the test data\n    sample_submission['correct'] = pred_value\n    \n    ## env.predict appends the session+level sample_submission to the overall\n    ## submission\n    env.predict(sample_submission)","metadata":{"papermill":{"duration":0.337707,"end_time":"2022-06-03T21:13:10.798069","exception":false,"start_time":"2022-06-03T21:13:10.460362","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-03-29T16:21:10.961602Z","iopub.execute_input":"2023-03-29T16:21:10.961957Z","iopub.status.idle":"2023-03-29T16:21:11.041412Z","shell.execute_reply.started":"2023-03-29T16:21:10.961926Z","shell.execute_reply":"2023-03-29T16:21:11.039977Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"sample_submission","metadata":{"papermill":{"duration":0.767504,"end_time":"2022-06-03T21:13:11.572788","exception":false,"start_time":"2022-06-03T21:13:10.805284","status":"completed"},"tags":[],"execution":{"iopub.status.busy":"2023-03-29T16:21:13.325727Z","iopub.execute_input":"2023-03-29T16:21:13.327054Z","iopub.status.idle":"2023-03-29T16:21:13.345270Z","shell.execute_reply.started":"2023-03-29T16:21:13.327006Z","shell.execute_reply":"2023-03-29T16:21:13.343987Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}