{"receipt_id":"agent1-1","seq":1,"branch_id":"agent1","kind":"command","cmd":"git ls-files -z","path":null,"exit_code":0,"stdout_tail":".github/workflows/lint.yml\u0000.github/workflows/test.yml\u0000.github/workflows/upload-to-pypi.yml\u0000.gitignore\u0000.pre-commit-config.yaml\u0000.readthedocs.yaml\u0000CHANGELOG.rst\u0000LICENSE\u0000README.rst\u0000ci/matplotlibrc\u0000doc/Makefile\u0000doc/api.rst\u0000doc/changelog.rst\u0000doc/conf.py\u0000doc/formats.ipynb\u0000doc/index.rst\u0000doc/make.bat\u0000doc/requirements.txt\u0000examples/README.txt\u0000examples/plot_customize_after_plot.py\u0000examples/plot_diabetes.py\u0000examples/plot_discrete.py\u0000examples/plot_generated.py\u0000examples/plot_hide.py\u0000examples/plot_highlight.py\u0000examples/plot_missingness.py\u0000examples/plot_sizing.py\u0000examples/plot_theming.py\u0000examples/plot_vertical.py\u0000pyproject.toml\u0000setup.cfg\u0000setup.py\u0000upsetplot/__init__.py\u0000upsetplot/data.py\u0000upsetplot/plotting.py\u0000upsetplot/reformat.py\u0000upsetplot/tests/__init__.py\u0000upsetplot/tests/test_data.py\u0000upsetplot/tests/test_examples.py\u0000upsetplot/tests/test_reformat.py\u0000upsetplot/tests/test_upsetplot.py\u0000upsetplot/util.py\u0000","stderr_tail":"","stdout_sha256":"6cef7c6863d847be4af85157442ac17be01e692fc63bed882c8863fc884df7ca","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-1.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T17:08:18.767047Z","duration_s":0.0038669999999999998,"timed_out":false,"image_before":"faf1535f-498a-442d-bd8b-a6755937309b","image_after":"4bdc7cef-31af-4ce6-bf61-82ae02f60470","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-2","seq":2,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-f7695e1fbb304b61b771634c2683c171/bin/busybox sh -c 'mkdir -p /UpSetPlot/upsetplot && cp /opt/receipts-f7695e1fbb304b61b771634c2683c171/incoming/80cf35977588c8dddd581a4ef1e2899e6aec7e4c1cac312f83a9e17fd657778f /UpSetPlot/upsetplot/plotting.py'","path":"upsetplot/plotting.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"80cf35977588c8dddd581a4ef1e2899e6aec7e4c1cac312f83a9e17fd657778f","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-2.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T17:08:32.190219Z","duration_s":0.005371,"timed_out":false,"image_before":"4bdc7cef-31af-4ce6-bf61-82ae02f60470","image_after":"c9cf1d30-0970-4451-9091-e4242f2158db","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-3","seq":3,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-784bd3a07a0147e195610288f14015a5/bin/busybox sh -c 'mkdir -p /UpSetPlot/upsetplot && cp /opt/receipts-784bd3a07a0147e195610288f14015a5/incoming/73b18b656723f58cb6a5cb0c5915abcd83984ea11445da0538096bef1790cd6e /UpSetPlot/upsetplot/plotting.py'","path":"upsetplot/plotting.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"73b18b656723f58cb6a5cb0c5915abcd83984ea11445da0538096bef1790cd6e","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-3.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T17:08:41.581796Z","duration_s":0.005241,"timed_out":false,"image_before":"c9cf1d30-0970-4451-9091-e4242f2158db","image_after":"3605c8bb-781e-4036-a840-6add8637038b","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-4","seq":4,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-a97ae058c16f4fcc9122c5a99f37cd9e/bin/busybox sh -c 'mkdir -p /UpSetPlot/upsetplot && cp /opt/receipts-a97ae058c16f4fcc9122c5a99f37cd9e/incoming/03e5bf94b289315a6ac928c88f0da9e3e150c44a36b2f964e1bd68ae94dbe0ac /UpSetPlot/upsetplot/plotting.py'","path":"upsetplot/plotting.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"03e5bf94b289315a6ac928c88f0da9e3e150c44a36b2f964e1bd68ae94dbe0ac","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-4.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T17:09:11.652802Z","duration_s":0.004928999999999999,"timed_out":false,"image_before":"3605c8bb-781e-4036-a840-6add8637038b","image_after":"b9593150-5de4-42e4-91b8-b24edcbc6277","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-5","seq":5,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-5a7d4eb62e1a408baadf4cff3e30cbe6/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-5a7d4eb62e1a408baadf4cff3e30cbe6/receipts_pytest.py upsetplot/tests/test_upsetplot.py::test_filter_subsets -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-5.xml","path":null,"exit_code":1,"stdout_tail":"rt len(subset_intersections) < len(intersections)\n> assert_series_equal(upset_filtered.intersections, subset_intersections)\n\ndata = index value\ncat0 cat1 cat2 \nTrue True False 0 1.235461\n False False 1 0.821389\n True False 2 0.967079\n True 3 1.773347\n False 4 1.674779\n... ... ...\nFalse True False 4995 1.147737\n False 4996 1.368000\n False False 4997 0.327888\nTrue True False 4998 1.598400\n True 4999 2.419338\n\n[5000 rows x 2 columns]\ndf = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\nFalse True False 1 0.821389 2\nTrue True False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n... ... ... ...\n False False 4995 1.147737 1\n False 4996 1.368000 1\nFalse False False 4997 0.327888 0\nTrue True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[5000 rows x 3 columns]\nexpected = {(True, False, False): 884, (True, True, False): 1547, (True, True, True): 990}\nfilter_params = {'max_subset_rank': 3}\nintersections = cat1 cat0 cat2 \nFalse False False 220\nTrue False False 884\nFalse True False 335\n False True 143\nTrue True False 1547\n False True 623\nFalse True True 258\nTrue True True 990\nName: size, dtype: int64\nkey = (True, True, True)\nsort_by = 'degree'\nsubset_df = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\n False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n True 7 1.977476 7\n... ... ... ...\n False 4994 1.438863 4\n False False 4995 1.147737 1\n False 4996 1.368000 1\n True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[3421 rows x 3 columns]\nsubset_intersections = cat1 cat0 cat2 \nTrue False False 884\n True False 1547\n True 990\nName: size, dtype: int64\nupset_filtered = \nupset_full = \nvalue = 990\n\nupsetplot/tests/test_upsetplot.py:824: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \npandas/_libs/testing.pyx:55: in pandas._libs.testing.assert_almost_equal\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE AssertionError: MultiIndex level [0] are different\nE \nE MultiIndex level [0] values are different (66.66667 %)\nE [left]: Index([False, True, False], dtype='bool', name='cat1')\nE [right]: Index([True, True, True], dtype='bool', name='cat1')\nE At positional index 0, first diff: False != True\n\n\npandas/_libs/testing.pyx:173: AssertionError\n==================================== PASSES ====================================\n------------ generated xml file: /opt/receipts/reports/agent1-5.xml ------------\n================================ tests coverage ================================\n_______________ coverage: platform linux, python 3.10.19-final-0 _______________\n\nName Stmts Miss Cover\n-------------------------------------------------------\nupsetplot/__init__.py 7 0 100%\nupsetplot/data.py 103 81 21%\nupsetplot/plotting.py 368 284 23%\nupsetplot/reformat.py 122 48 61%\nupsetplot/tests/__init__.py 0 0 100%\nupsetplot/tests/test_data.py 91 91 0%\nupsetplot/tests/test_examples.py 13 13 0%\nupsetplot/tests/test_reformat.py 17 17 0%\nupsetplot/tests/test_upsetplot.py 476 383 20%\nupsetplot/util.py 29 22 24%\n-------------------------------------------------------\nTOTAL 1226 939 23%\n=========================== short test summary info ============================\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params0-expected0]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params2-expected2]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params3-expected3]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params4-expected4]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params5-expected5]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params0-expected0]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params2-expected2]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params3-expected3]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params4-expected4]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params5-expected5]\nFAILED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1] - AssertionError: DataFrame are different\n\nDataFrame shape mismatch\n[left]: (5000, 2)\n[right]: (3421, 2)\nFAILED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1] - AssertionError: MultiIndex level [0] are different\n\nMultiIndex level [0] values are different (66.66667 %)\n[left]: Index([False, True, False], dtype='bool', name='cat1')\n[right]: Index([True, True, True], dtype='bool', name='cat1')\nAt positional index 0, first diff: False != True\n========================= 2 failed, 10 passed in 2.73s =========================\n","stderr_tail":"","stdout_sha256":"80c52083a2fb7f96aa457f6a1baf3465bc45038613782359c0331b4797357a81","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-5.log","tree_digest":"5494b0a04b07511fbdb777e5c4c513ba20bb8767b7b6aea748ed805e99e21a80","tree_download_s":2.2362688339781016,"started_at":"2026-10-03T17:09:14.497504Z","duration_s":3.4930649999999996,"timed_out":false,"image_before":"b9593150-5de4-42e4-91b8-b24edcbc6277","image_after":"0569f6d5-7562-43c9-9ab0-38900a993988","junit":{"passed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params0-expected0]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params2-expected2]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params3-expected3]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params4-expected4]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params5-expected5]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params0-expected0]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params2-expected2]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params3-expected3]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params4-expected4]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params5-expected5]"],"failed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1]"],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{"upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1]":"[...]9 2.419338\n\n[5000 rows x 2 columns]\ndf = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 0\nFalse True False 1 0.821389 4\nTrue True False 2 0.967079 0\n True 3 1.773347 1\n False 4 1.674779 0\n... ... ... ...\n False False 4995 1.147737 2\n False 4996 1.368000 2\nFalse False False 4997 0.327888 6\nTrue True False 4998 1.598400 0\n True 4999 2.419338 1\n\n[5000 rows x 3 columns]\nexpected = {(True, False, False): 884, (True, True, False): 1547, (True, True, True): 990}\nfilter_params = {'max_subset_rank': 3}\nintersections = cat1 cat0 cat2 \nTrue True False 1547\n True 990\n False False 884\n True 623\nFalse True False 335\n True 258\n False False 220\n True 143\nName: size, dtype: int64\nkey = (True, True, True)\nsort_by = 'cardinality'\nsubset_df = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 0\n False 2 0.967079 0\n True 3 1.773347 1\n False 4 1.674779 0\n True 7 1.977476 1\n... ... ... ...\n False 4994 1.438863 0\n False False 4995 1.147737 2\n False 4996 1.368000 2\n True False 4998 1.598400 0\n True 4999 2.419338 1\n\n[3421 rows x 3 columns]\nsubset_intersections = cat1 cat0 cat2 \nTrue True False 1547\n True 990\n False False 884\nName: size, dtype: int64\nupset_filtered = \nupset_full = \nvalue = 990\n\nupsetplot/tests/test_upsetplot.py:825: AssertionError","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1]":"[...]000 rows x 3 columns]\nexpected = {(True, False, False): 884, (True, True, False): 1547, (True, True, True): 990}\nfilter_params = {'max_subset_rank': 3}\nintersections = cat1 cat0 cat2 \nFalse False False 220\nTrue False False 884\nFalse True False 335\n False True 143\nTrue True False 1547\n False True 623\nFalse True True 258\nTrue True True 990\nName: size, dtype: int64\nkey = (True, True, True)\nsort_by = 'degree'\nsubset_df = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\n False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n True 7 1.977476 7\n... ... ... ...\n False 4994 1.438863 4\n False False 4995 1.147737 1\n False 4996 1.368000 1\n True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[3421 rows x 3 columns]\nsubset_intersections = cat1 cat0 cat2 \nTrue False False 884\n True False 1547\n True 990\nName: size, dtype: int64\nupset_filtered = \nupset_full = \nvalue = 990\n\nupsetplot/tests/test_upsetplot.py:824: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \npandas/_libs/testing.pyx:55: in pandas._libs.testing.assert_almost_equal\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE AssertionError: MultiIndex level [0] are different\nE \nE MultiIndex level [0] values are different (66.66667 %)\nE [left]: Index([False, True, False], dtype='bool', name='cat1')\nE [right]: Index([True, True, True], dtype='bool', name='cat1')\nE At positional index 0, first diff: False != True\n\n\npandas/_libs/testing.pyx:173: AssertionError"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-6","seq":6,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-ed67a0ce6144454280a63b100a792eef/bin/busybox sh -c 'mkdir -p /UpSetPlot/upsetplot && cp /opt/receipts-ed67a0ce6144454280a63b100a792eef/incoming/eca5bb7c74605f45f8fd3dfbdc0dbd2b4faf1992103ae338f2c3e3808c875e26 /UpSetPlot/upsetplot/plotting.py'","path":"upsetplot/plotting.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"eca5bb7c74605f45f8fd3dfbdc0dbd2b4faf1992103ae338f2c3e3808c875e26","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-6.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T17:09:33.128212Z","duration_s":0.0048649999999999995,"timed_out":false,"image_before":"0569f6d5-7562-43c9-9ab0-38900a993988","image_after":"1feaf524-d0a6-4489-99da-ca89c46f2b45","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-7","seq":7,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-945143a0242340c1839eae857583cb10/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-945143a0242340c1839eae857583cb10/receipts_pytest.py upsetplot/tests/test_upsetplot.py::test_filter_subsets -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-7.xml","path":null,"exit_code":1,"stdout_tail":"ssert len(subset_intersections) < len(intersections)\n> assert_series_equal(upset_filtered.intersections, subset_intersections)\n\ndata = index value\ncat0 cat1 cat2 \nTrue True False 0 1.235461\n False False 1 0.821389\n True False 2 0.967079\n True 3 1.773347\n False 4 1.674779\n... ... ...\nFalse True False 4995 1.147737\n False 4996 1.368000\n False False 4997 0.327888\nTrue True False 4998 1.598400\n True 4999 2.419338\n\n[5000 rows x 2 columns]\ndf = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\nFalse True False 1 0.821389 2\nTrue True False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n... ... ... ...\n False False 4995 1.147737 1\n False 4996 1.368000 1\nFalse False False 4997 0.327888 0\nTrue True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[5000 rows x 3 columns]\nexpected = {(True, False, False): 884, (True, True, False): 1547, (True, True, True): 990}\nfilter_params = {'max_subset_rank': 3}\nintersections = cat1 cat0 cat2 \nFalse False False 220\nTrue False False 884\nFalse True False 335\n False True 143\nTrue True False 1547\n False True 623\nFalse True True 258\nTrue True True 990\nName: size, dtype: int64\nkey = (True, True, True)\nsort_by = 'degree'\nsubset_df = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\n False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n True 7 1.977476 7\n... ... ... ...\n False 4994 1.438863 4\n False False 4995 1.147737 1\n False 4996 1.368000 1\n True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[3421 rows x 3 columns]\nsubset_intersections = cat1 cat0 cat2 \nTrue False False 884\n True False 1547\n True 990\nName: size, dtype: int64\nupset_filtered = \nupset_full = \nvalue = 990\n\nupsetplot/tests/test_upsetplot.py:824: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \npandas/_libs/testing.pyx:55: in pandas._libs.testing.assert_almost_equal\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE AssertionError: MultiIndex level [0] are different\nE \nE MultiIndex level [0] values are different (66.66667 %)\nE [left]: Index([False, True, False], dtype='bool', name='cat1')\nE [right]: Index([True, True, True], dtype='bool', name='cat1')\nE At positional index 0, first diff: False != True\n\n\npandas/_libs/testing.pyx:173: AssertionError\n==================================== PASSES ====================================\n------------ generated xml file: /opt/receipts/reports/agent1-7.xml ------------\n================================ tests coverage ================================\n_______________ coverage: platform linux, python 3.10.19-final-0 _______________\n\nName Stmts Miss Cover\n-------------------------------------------------------\nupsetplot/__init__.py 7 0 100%\nupsetplot/data.py 103 81 21%\nupsetplot/plotting.py 369 284 23%\nupsetplot/reformat.py 122 48 61%\nupsetplot/tests/__init__.py 0 0 100%\nupsetplot/tests/test_data.py 91 91 0%\nupsetplot/tests/test_examples.py 13 13 0%\nupsetplot/tests/test_reformat.py 17 17 0%\nupsetplot/tests/test_upsetplot.py 476 383 20%\nupsetplot/util.py 29 22 24%\n-------------------------------------------------------\nTOTAL 1227 939 23%\n=========================== short test summary info ============================\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params0-expected0]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params2-expected2]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params3-expected3]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params4-expected4]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params5-expected5]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params0-expected0]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params2-expected2]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params3-expected3]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params4-expected4]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params5-expected5]\nFAILED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1] - AssertionError: DataFrame are different\n\nDataFrame shape mismatch\n[left]: (0, 2)\n[right]: (3421, 2)\nFAILED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1] - AssertionError: MultiIndex level [0] are different\n\nMultiIndex level [0] values are different (66.66667 %)\n[left]: Index([False, True, False], dtype='bool', name='cat1')\n[right]: Index([True, True, True], dtype='bool', name='cat1')\nAt positional index 0, first diff: False != True\n========================= 2 failed, 10 passed in 2.68s =========================\n","stderr_tail":"","stdout_sha256":"01c7ade8eb224db02afea406632dd21ed2fac1e352449d253f2eda569009cd8a","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-7.log","tree_digest":"c1b55bb86a4dcb87a1aa6cd586c233614ed8b9f3e33730af8b426fe8dc35a7da","tree_download_s":1.8369797908235341,"started_at":"2026-10-03T17:09:36.201940Z","duration_s":3.400636,"timed_out":false,"image_before":"1feaf524-d0a6-4489-99da-ca89c46f2b45","image_after":"e46e0d9c-051e-4d89-9c7b-1502ddd21b35","junit":{"passed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params0-expected0]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params2-expected2]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params3-expected3]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params4-expected4]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params5-expected5]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params0-expected0]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params2-expected2]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params3-expected3]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params4-expected4]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params5-expected5]"],"failed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1]"],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{"upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1]":"[...]9 2.419338\n\n[5000 rows x 2 columns]\ndf = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 0\nFalse True False 1 0.821389 4\nTrue True False 2 0.967079 0\n True 3 1.773347 1\n False 4 1.674779 0\n... ... ... ...\n False False 4995 1.147737 2\n False 4996 1.368000 2\nFalse False False 4997 0.327888 6\nTrue True False 4998 1.598400 0\n True 4999 2.419338 1\n\n[5000 rows x 3 columns]\nexpected = {(True, False, False): 884, (True, True, False): 1547, (True, True, True): 990}\nfilter_params = {'max_subset_rank': 3}\nintersections = cat1 cat0 cat2 \nTrue True False 1547\n True 990\n False False 884\n True 623\nFalse True False 335\n True 258\n False False 220\n True 143\nName: size, dtype: int64\nkey = (True, True, True)\nsort_by = 'cardinality'\nsubset_df = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 0\n False 2 0.967079 0\n True 3 1.773347 1\n False 4 1.674779 0\n True 7 1.977476 1\n... ... ... ...\n False 4994 1.438863 0\n False False 4995 1.147737 2\n False 4996 1.368000 2\n True False 4998 1.598400 0\n True 4999 2.419338 1\n\n[3421 rows x 3 columns]\nsubset_intersections = cat1 cat0 cat2 \nTrue True False 1547\n True 990\n False False 884\nName: size, dtype: int64\nupset_filtered = \nupset_full = \nvalue = 990\n\nupsetplot/tests/test_upsetplot.py:825: AssertionError","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1]":"[...]000 rows x 3 columns]\nexpected = {(True, False, False): 884, (True, True, False): 1547, (True, True, True): 990}\nfilter_params = {'max_subset_rank': 3}\nintersections = cat1 cat0 cat2 \nFalse False False 220\nTrue False False 884\nFalse True False 335\n False True 143\nTrue True False 1547\n False True 623\nFalse True True 258\nTrue True True 990\nName: size, dtype: int64\nkey = (True, True, True)\nsort_by = 'degree'\nsubset_df = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\n False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n True 7 1.977476 7\n... ... ... ...\n False 4994 1.438863 4\n False False 4995 1.147737 1\n False 4996 1.368000 1\n True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[3421 rows x 3 columns]\nsubset_intersections = cat1 cat0 cat2 \nTrue False False 884\n True False 1547\n True 990\nName: size, dtype: int64\nupset_filtered = \nupset_full = \nvalue = 990\n\nupsetplot/tests/test_upsetplot.py:824: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \npandas/_libs/testing.pyx:55: in pandas._libs.testing.assert_almost_equal\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE AssertionError: MultiIndex level [0] are different\nE \nE MultiIndex level [0] values are different (66.66667 %)\nE [left]: Index([False, True, False], dtype='bool', name='cat1')\nE [right]: Index([True, True, True], dtype='bool', name='cat1')\nE At positional index 0, first diff: False != True\n\n\npandas/_libs/testing.pyx:173: AssertionError"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-8","seq":8,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-9a9cf122f05342e08536980524baa61a/bin/busybox sh -c 'mkdir -p /UpSetPlot/upsetplot && cp /opt/receipts-9a9cf122f05342e08536980524baa61a/incoming/36b10ce2936dda23b05e63120942385367ad55a14f7a044bf4f34028aa1551a8 /UpSetPlot/upsetplot/plotting.py'","path":"upsetplot/plotting.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"36b10ce2936dda23b05e63120942385367ad55a14f7a044bf4f34028aa1551a8","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-8.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T17:09:56.434160Z","duration_s":0.005247,"timed_out":false,"image_before":"e46e0d9c-051e-4d89-9c7b-1502ddd21b35","image_after":"9e126dd2-10b5-4591-9996-425275c3d559","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-9","seq":9,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-0306b6760bd4401d8b5edc08109d3414/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-0306b6760bd4401d8b5edc08109d3414/receipts_pytest.py upsetplot/tests/test_upsetplot.py::test_filter_subsets -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-9.xml","path":null,"exit_code":1,"stdout_tail":" ...\nFalse True False 4995 1.147737\n False 4996 1.368000\n False False 4997 0.327888\nTrue True False 4998 1.598400\n True 4999 2.419338\n\n[5000 rows x 2 columns]\n element_size = 32\n facecolor = 'black'\n g = 1.0\n include_empty_subsets = False\n intersection_plot_elements = 6\n lightness = np.float64(1.0)\n mapping = {(False, False, False): 0, (False, True, False): 2, (True, False, False): 1}\n mask = cat1 cat0 cat2 \nTrue True False False\nFalse True False False\nTrue True False False\n True False\n False False\n ... \n False False False\n False False\nFalse False False False\nTrue True False False\n True False\nLength: 5000, dtype: bool\n max_degree = None\n max_subset_rank = 3\n max_subset_size = None\n min_degree = None\n min_subset_size = None\n orientation = 'horizontal'\n orig_data = index value\ncat1 cat0 cat2 \nTrue True False 0 1.235461\nFalse True False 1 0.821389\nTrue True False 2 0.967079\n True 3 1.773347\n False 4 1.674779\n... ... ...\n False False 4995 1.147737\n False 4996 1.368000\nFalse False False 4997 0.327888\nTrue True False 4998 1.598400\n True 4999 2.419338\n\n[5000 rows x 2 columns]\n other_dots_color = 0.18\n r = 1.0\n self = \n shading_color = 0.05\n show_counts = ''\n show_percentages = False\n sort_by = 'degree'\n sort_categories_by = 'cardinality'\n subset_size = 'auto'\n subset_tuples = MultiIndex([(False, False, False),\n ( True, False, False),\n (False, True, False)],\n names=['cat1', 'cat0', 'cat2'])\n sum_over = None\n totals_plot_elements = 2\n with_lines = True\n/usr/local/lib/python3.10/site-packages/pandas/core/frame.py:4312: in __setitem__\n self._set_item_frame_value(key, value)\n key = '_bin'\n self = Empty DataFrame\nColumns: [index, value, _bin]\nIndex: []\n value = Empty DataFrame\nColumns: [index, value]\nIndex: []\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = Empty DataFrame\nColumns: [index, value, _bin]\nIndex: [], key = '_bin'\nvalue = Empty DataFrame\nColumns: [index, value]\nIndex: []\n\n def _set_item_frame_value(self, key, value: DataFrame) -> None:\n self._ensure_valid_index(value)\n \n # align columns\n if key in self.columns:\n loc = self.columns.get_loc(key)\n cols = self.columns[loc]\n len_cols = 1 if is_scalar(cols) or isinstance(cols, tuple) else len(cols)\n if len_cols != len(value.columns):\n> raise ValueError(\"Columns must be same length as key\")\nE ValueError: Columns must be same length as key\n\ncols = '_bin'\nkey = '_bin'\nlen_cols = 1\nloc = 2\nself = Empty DataFrame\nColumns: [index, value, _bin]\nIndex: []\nvalue = Empty DataFrame\nColumns: [index, value]\nIndex: []\n\n/usr/local/lib/python3.10/site-packages/pandas/core/frame.py:4440: ValueError\n==================================== PASSES ====================================\n------------ generated xml file: /opt/receipts/reports/agent1-9.xml ------------\n================================ tests coverage ================================\n_______________ coverage: platform linux, python 3.10.19-final-0 _______________\n\nName Stmts Miss Cover\n-------------------------------------------------------\nupsetplot/__init__.py 7 0 100%\nupsetplot/data.py 103 81 21%\nupsetplot/plotting.py 374 284 24%\nupsetplot/reformat.py 122 48 61%\nupsetplot/tests/__init__.py 0 0 100%\nupsetplot/tests/test_data.py 91 91 0%\nupsetplot/tests/test_examples.py 13 13 0%\nupsetplot/tests/test_reformat.py 17 17 0%\nupsetplot/tests/test_upsetplot.py 476 383 20%\nupsetplot/util.py 29 22 24%\n-------------------------------------------------------\nTOTAL 1232 939 24%\n=========================== short test summary info ============================\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params0-expected0]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params2-expected2]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params3-expected3]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params4-expected4]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params5-expected5]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params0-expected0]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params2-expected2]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params3-expected3]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params4-expected4]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params5-expected5]\nFAILED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1] - ValueError: Columns must be same length as key\nFAILED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1] - ValueError: Columns must be same length as key\n========================= 2 failed, 10 passed in 3.16s =========================\n","stderr_tail":"","stdout_sha256":"4b953192642e589cf4d1b862a28c4fa4a4bcd93302e5eeb93c0b51b953ad8c64","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-9.log","tree_digest":"1ffbb48a915466c8b832a940b5b529bf70203d475eee2edb976563d578076db5","tree_download_s":1.584926167037338,"started_at":"2026-10-03T17:09:59.581432Z","duration_s":3.8921650000000003,"timed_out":false,"image_before":"9e126dd2-10b5-4591-9996-425275c3d559","image_after":"923cdd1a-c6de-46ba-8363-206a2de1a6e0","junit":{"passed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params0-expected0]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params2-expected2]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params3-expected3]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params4-expected4]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params5-expected5]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params0-expected0]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params2-expected2]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params3-expected3]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params4-expected4]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params5-expected5]"],"failed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1]"],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{"upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1]":"[...]888\nTrue True False 4998 1.598400\n True 4999 2.419338\n\n[5000 rows x 2 columns]\n other_dots_color = 0.18\n r = 1.0\n self = \n shading_color = 0.05\n show_counts = ''\n show_percentages = False\n sort_by = 'cardinality'\n sort_categories_by = 'cardinality'\n subset_size = 'auto'\n subset_tuples = MultiIndex([(True, True, False),\n (True, True, True),\n (True, False, False)],\n names=['cat1', 'cat0', 'cat2'])\n sum_over = None\n totals_plot_elements = 2\n with_lines = True\n/usr/local/lib/python3.10/site-packages/pandas/core/frame.py:4312: in __setitem__\n self._set_item_frame_value(key, value)\n key = '_bin'\n self = Empty DataFrame\nColumns: [index, value, _bin]\nIndex: []\n value = Empty DataFrame\nColumns: [index, value]\nIndex: []\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = Empty DataFrame\nColumns: [index, value, _bin]\nIndex: [], key = '_bin'\nvalue = Empty DataFrame\nColumns: [index, value]\nIndex: []\n\n def _set_item_frame_value(self, key, value: DataFrame) -> None:\n self._ensure_valid_index(value)\n \n # align columns\n if key in self.columns:\n loc = self.columns.get_loc(key)\n cols = self.columns[loc]\n len_cols = 1 if is_scalar(cols) or isinstance(cols, tuple) else len(cols)\n if len_cols != len(value.columns):\n> raise ValueError(\"Columns must be same length as key\")\nE ValueError: Columns must be same length as key\n\ncols = '_bin'\nkey = '_bin'\nlen_cols = 1\nloc = 2\nself = Empty DataFrame\nColumns: [index, value, _bin]\nIndex: []\nvalue = Empty DataFrame\nColumns: [index, value]\nIndex: []\n\n/usr/local/lib/python3.10/site-packages/pandas/core/frame.py:4440: ValueError","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1]":"[...]27888\nTrue True False 4998 1.598400\n True 4999 2.419338\n\n[5000 rows x 2 columns]\n other_dots_color = 0.18\n r = 1.0\n self = \n shading_color = 0.05\n show_counts = ''\n show_percentages = False\n sort_by = 'degree'\n sort_categories_by = 'cardinality'\n subset_size = 'auto'\n subset_tuples = MultiIndex([(False, False, False),\n ( True, False, False),\n (False, True, False)],\n names=['cat1', 'cat0', 'cat2'])\n sum_over = None\n totals_plot_elements = 2\n with_lines = True\n/usr/local/lib/python3.10/site-packages/pandas/core/frame.py:4312: in __setitem__\n self._set_item_frame_value(key, value)\n key = '_bin'\n self = Empty DataFrame\nColumns: [index, value, _bin]\nIndex: []\n value = Empty DataFrame\nColumns: [index, value]\nIndex: []\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = Empty DataFrame\nColumns: [index, value, _bin]\nIndex: [], key = '_bin'\nvalue = Empty DataFrame\nColumns: [index, value]\nIndex: []\n\n def _set_item_frame_value(self, key, value: DataFrame) -> None:\n self._ensure_valid_index(value)\n \n # align columns\n if key in self.columns:\n loc = self.columns.get_loc(key)\n cols = self.columns[loc]\n len_cols = 1 if is_scalar(cols) or isinstance(cols, tuple) else len(cols)\n if len_cols != len(value.columns):\n> raise ValueError(\"Columns must be same length as key\")\nE ValueError: Columns must be same length as key\n\ncols = '_bin'\nkey = '_bin'\nlen_cols = 1\nloc = 2\nself = Empty DataFrame\nColumns: [index, value, _bin]\nIndex: []\nvalue = Empty DataFrame\nColumns: [index, value]\nIndex: []\n\n/usr/local/lib/python3.10/site-packages/pandas/core/frame.py:4440: ValueError"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-10","seq":10,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-99076b1ba8f14a1fbbb90889744aa02d/bin/busybox sh -c 'mkdir -p /UpSetPlot/upsetplot && cp /opt/receipts-99076b1ba8f14a1fbbb90889744aa02d/incoming/61ba182c2b8a5f732be941799ea59e7b110ef25727a0bd273a970ebb6de56d33 /UpSetPlot/upsetplot/plotting.py'","path":"upsetplot/plotting.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"61ba182c2b8a5f732be941799ea59e7b110ef25727a0bd273a970ebb6de56d33","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-10.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T17:10:19.601410Z","duration_s":0.00476,"timed_out":false,"image_before":"923cdd1a-c6de-46ba-8363-206a2de1a6e0","image_after":"76e03086-268d-4baf-aac6-74c68712bc6c","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-11","seq":11,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-9fd5ec143fa94b08b4c7a2580fd6e3e4/bin/busybox sh -c 'mkdir -p /UpSetPlot/upsetplot && cp /opt/receipts-9fd5ec143fa94b08b4c7a2580fd6e3e4/incoming/a5ffdd0faa9f803b65c49d0fb25c35501574a13a60965f94684d8f4fe6588529 /UpSetPlot/upsetplot/plotting.py'","path":"upsetplot/plotting.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"a5ffdd0faa9f803b65c49d0fb25c35501574a13a60965f94684d8f4fe6588529","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-11.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T17:10:28.177148Z","duration_s":0.0048980000000000004,"timed_out":false,"image_before":"76e03086-268d-4baf-aac6-74c68712bc6c","image_after":"8c3d4624-4404-44a3-9f51-ae92adf23b46","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-12","seq":12,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-bd489ea01f534e5ba04404393211f05e/bin/busybox sh -c 'mkdir -p /UpSetPlot/upsetplot && cp /opt/receipts-bd489ea01f534e5ba04404393211f05e/incoming/6f741d02600afe70bc727e93c94f785215910cd1341d0875f49eca621d8c379a /UpSetPlot/upsetplot/plotting.py'","path":"upsetplot/plotting.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"6f741d02600afe70bc727e93c94f785215910cd1341d0875f49eca621d8c379a","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-12.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T17:10:45.217240Z","duration_s":0.005093,"timed_out":false,"image_before":"8c3d4624-4404-44a3-9f51-ae92adf23b46","image_after":"a9504021-628b-4463-b6e0-dcc887855def","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-13","seq":13,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-ec60adb997874e7d9419be674f4ebd52/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-ec60adb997874e7d9419be674f4ebd52/receipts_pytest.py upsetplot/tests/test_upsetplot.py::test_filter_subsets -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-13.xml","path":null,"exit_code":1,"stdout_tail":"list(expected.keys()))\n ]\n subset_df = df[df.index.isin(list(expected.keys()))]\n assert len(subset_intersections) < len(intersections)\n> assert_series_equal(upset_filtered.intersections, subset_intersections)\n\ndata = index value\ncat0 cat1 cat2 \nTrue True False 0 1.235461\n False False 1 0.821389\n True False 2 0.967079\n True 3 1.773347\n False 4 1.674779\n... ... ...\nFalse True False 4995 1.147737\n False 4996 1.368000\n False False 4997 0.327888\nTrue True False 4998 1.598400\n True 4999 2.419338\n\n[5000 rows x 2 columns]\ndf = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\nFalse True False 1 0.821389 2\nTrue True False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n... ... ... ...\n False False 4995 1.147737 1\n False 4996 1.368000 1\nFalse False False 4997 0.327888 0\nTrue True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[5000 rows x 3 columns]\nexpected = {(True, False, False): 884, (True, True, False): 1547, (True, True, True): 990}\nfilter_params = {'max_subset_rank': 3}\nintersections = cat1 cat0 cat2 \nFalse False False 220\nTrue False False 884\nFalse True False 335\n False True 143\nTrue True False 1547\n False True 623\nFalse True True 258\nTrue True True 990\nName: size, dtype: int64\nkey = (True, True, True)\nsort_by = 'degree'\nsubset_df = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\n False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n True 7 1.977476 7\n... ... ... ...\n False 4994 1.438863 4\n False False 4995 1.147737 1\n False 4996 1.368000 1\n True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[3421 rows x 3 columns]\nsubset_intersections = cat1 cat0 cat2 \nTrue False False 884\n True False 1547\n True 990\nName: size, dtype: int64\nupset_filtered = \nupset_full = \nvalue = 990\n\nupsetplot/tests/test_upsetplot.py:824: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \npandas/_libs/testing.pyx:55: in pandas._libs.testing.assert_almost_equal\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE AssertionError: MultiIndex level [0] are different\nE \nE MultiIndex level [0] values are different (66.66667 %)\nE [left]: Index([False, True, False], dtype='bool', name='cat1')\nE [right]: Index([True, True, True], dtype='bool', name='cat1')\nE At positional index 0, first diff: False != True\n\n\npandas/_libs/testing.pyx:173: AssertionError\n==================================== PASSES ====================================\n----------- generated xml file: /opt/receipts/reports/agent1-13.xml ------------\n================================ tests coverage ================================\n_______________ coverage: platform linux, python 3.10.19-final-0 _______________\n\nName Stmts Miss Cover\n-------------------------------------------------------\nupsetplot/__init__.py 7 0 100%\nupsetplot/data.py 103 81 21%\nupsetplot/plotting.py 371 284 23%\nupsetplot/reformat.py 122 48 61%\nupsetplot/tests/__init__.py 0 0 100%\nupsetplot/tests/test_data.py 91 91 0%\nupsetplot/tests/test_examples.py 13 13 0%\nupsetplot/tests/test_reformat.py 17 17 0%\nupsetplot/tests/test_upsetplot.py 476 383 20%\nupsetplot/util.py 29 22 24%\n-------------------------------------------------------\nTOTAL 1229 939 24%\n=========================== short test summary info ============================\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params0-expected0]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params2-expected2]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params3-expected3]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params4-expected4]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params5-expected5]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params0-expected0]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params2-expected2]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params3-expected3]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params4-expected4]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params5-expected5]\nFAILED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1] - AssertionError: MultiIndex level [0] are different\n\nMultiIndex level [0] values are different (66.66667 %)\n[left]: Index([False, True, False], dtype='bool', name='cat1')\n[right]: Index([True, True, True], dtype='bool', name='cat1')\nAt positional index 0, first diff: False != True\n========================= 1 failed, 11 passed in 2.65s =========================\n","stderr_tail":"","stdout_sha256":"3cb4deca59c4c1e9b97a35562a3bac7e48b4d002410f9d191838aa9d0a0a8811","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-13.log","tree_digest":"c5353297b0eca02053c716d1bcaa6a5beca3bf4b88bd40dfffc18a892126cf5c","tree_download_s":4.579137125052512,"started_at":"2026-10-03T17:10:48.203752Z","duration_s":3.37778,"timed_out":false,"image_before":"a9504021-628b-4463-b6e0-dcc887855def","image_after":"fead317e-aa3f-473e-a85e-83ebdf67de9f","junit":{"passed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params0-expected0]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params2-expected2]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params3-expected3]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params4-expected4]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params5-expected5]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params0-expected0]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params2-expected2]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params3-expected3]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params4-expected4]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params5-expected5]"],"failed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1]"],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{"upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1]":"[...]000 rows x 3 columns]\nexpected = {(True, False, False): 884, (True, True, False): 1547, (True, True, True): 990}\nfilter_params = {'max_subset_rank': 3}\nintersections = cat1 cat0 cat2 \nFalse False False 220\nTrue False False 884\nFalse True False 335\n False True 143\nTrue True False 1547\n False True 623\nFalse True True 258\nTrue True True 990\nName: size, dtype: int64\nkey = (True, True, True)\nsort_by = 'degree'\nsubset_df = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\n False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n True 7 1.977476 7\n... ... ... ...\n False 4994 1.438863 4\n False False 4995 1.147737 1\n False 4996 1.368000 1\n True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[3421 rows x 3 columns]\nsubset_intersections = cat1 cat0 cat2 \nTrue False False 884\n True False 1547\n True 990\nName: size, dtype: int64\nupset_filtered = \nupset_full = \nvalue = 990\n\nupsetplot/tests/test_upsetplot.py:824: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \npandas/_libs/testing.pyx:55: in pandas._libs.testing.assert_almost_equal\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE AssertionError: MultiIndex level [0] are different\nE \nE MultiIndex level [0] values are different (66.66667 %)\nE [left]: Index([False, True, False], dtype='bool', name='cat1')\nE [right]: Index([True, True, True], dtype='bool', name='cat1')\nE At positional index 0, first diff: False != True\n\n\npandas/_libs/testing.pyx:173: AssertionError"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-14","seq":14,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-5e407c24f6c24407b3537f0967f1b0d5/bin/busybox sh -c 'mkdir -p /UpSetPlot/upsetplot && cp /opt/receipts-5e407c24f6c24407b3537f0967f1b0d5/incoming/a86834b26d0dfd58cc4b09d9da8ec270a585bed2a99c2087fbb52c26ca08bacc /UpSetPlot/upsetplot/plotting.py'","path":"upsetplot/plotting.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"a86834b26d0dfd58cc4b09d9da8ec270a585bed2a99c2087fbb52c26ca08bacc","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-14.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T17:11:19.329904Z","duration_s":0.004918,"timed_out":false,"image_before":"fead317e-aa3f-473e-a85e-83ebdf67de9f","image_after":"75d614e6-6eee-4040-a4df-65b1e54531d2","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-15","seq":15,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-d47c7f9d942e4037828f97b7f96dca26/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-d47c7f9d942e4037828f97b7f96dca26/receipts_pytest.py upsetplot/tests/test_upsetplot.py::test_filter_subsets -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-15.xml","path":null,"exit_code":1,"stdout_tail":"n(list(expected.keys()))\n ]\n subset_df = df[df.index.isin(list(expected.keys()))]\n assert len(subset_intersections) < len(intersections)\n> assert_series_equal(upset_filtered.intersections, subset_intersections)\n\ndata = index value\ncat0 cat1 cat2 \nTrue True False 0 1.235461\n False False 1 0.821389\n True False 2 0.967079\n True 3 1.773347\n False 4 1.674779\n... ... ...\nFalse True False 4995 1.147737\n False 4996 1.368000\n False False 4997 0.327888\nTrue True False 4998 1.598400\n True 4999 2.419338\n\n[5000 rows x 2 columns]\ndf = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\nFalse True False 1 0.821389 2\nTrue True False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n... ... ... ...\n False False 4995 1.147737 1\n False 4996 1.368000 1\nFalse False False 4997 0.327888 0\nTrue True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[5000 rows x 3 columns]\nexpected = {(True, False, False): 884, (True, True, False): 1547, (True, True, True): 990}\nfilter_params = {'max_subset_rank': 3}\nintersections = cat1 cat0 cat2 \nFalse False False 220\nTrue False False 884\nFalse True False 335\n False True 143\nTrue True False 1547\n False True 623\nFalse True True 258\nTrue True True 990\nName: size, dtype: int64\nkey = (True, True, True)\nsort_by = 'degree'\nsubset_df = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\n False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n True 7 1.977476 7\n... ... ... ...\n False 4994 1.438863 4\n False False 4995 1.147737 1\n False 4996 1.368000 1\n True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[3421 rows x 3 columns]\nsubset_intersections = cat1 cat0 cat2 \nTrue False False 884\n True False 1547\n True 990\nName: size, dtype: int64\nupset_filtered = \nupset_full = \nvalue = 990\n\nupsetplot/tests/test_upsetplot.py:824: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \npandas/_libs/testing.pyx:55: in pandas._libs.testing.assert_almost_equal\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE AssertionError: MultiIndex level [0] are different\nE \nE MultiIndex level [0] values are different (33.33333 %)\nE [left]: Index([True, False, True], dtype='bool', name='cat1')\nE [right]: Index([True, True, True], dtype='bool', name='cat1')\nE At positional index 1, first diff: False != True\n\n\npandas/_libs/testing.pyx:173: AssertionError\n==================================== PASSES ====================================\n----------- generated xml file: /opt/receipts/reports/agent1-15.xml ------------\n================================ tests coverage ================================\n_______________ coverage: platform linux, python 3.10.19-final-0 _______________\n\nName Stmts Miss Cover\n-------------------------------------------------------\nupsetplot/__init__.py 7 0 100%\nupsetplot/data.py 103 81 21%\nupsetplot/plotting.py 376 284 24%\nupsetplot/reformat.py 122 48 61%\nupsetplot/tests/__init__.py 0 0 100%\nupsetplot/tests/test_data.py 91 91 0%\nupsetplot/tests/test_examples.py 13 13 0%\nupsetplot/tests/test_reformat.py 17 17 0%\nupsetplot/tests/test_upsetplot.py 476 383 20%\nupsetplot/util.py 29 22 24%\n-------------------------------------------------------\nTOTAL 1234 939 24%\n=========================== short test summary info ============================\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params0-expected0]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params2-expected2]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params3-expected3]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params4-expected4]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params5-expected5]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params0-expected0]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params2-expected2]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params3-expected3]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params4-expected4]\nPASSED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params5-expected5]\nFAILED upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1] - AssertionError: MultiIndex level [0] are different\n\nMultiIndex level [0] values are different (33.33333 %)\n[left]: Index([True, False, True], dtype='bool', name='cat1')\n[right]: Index([True, True, True], dtype='bool', name='cat1')\nAt positional index 1, first diff: False != True\n========================= 1 failed, 11 passed in 2.68s =========================\n","stderr_tail":"","stdout_sha256":"deb55c07f31b773d73e270c602767c26a3bb71b896d3c100ad65939e8c164410","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-15.log","tree_digest":"76f5161d9e42f266ce5f7db5d82a8a4521aec9b0dda0841bd298ee3ee9f55d34","tree_download_s":2.959039666922763,"started_at":"2026-10-03T17:11:23.092189Z","duration_s":3.403095,"timed_out":false,"image_before":"75d614e6-6eee-4040-a4df-65b1e54531d2","image_after":"d724d65d-a201-4b49-89fe-dc1cbf1d8d5b","junit":{"passed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params0-expected0]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params1-expected1]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params2-expected2]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params3-expected3]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params4-expected4]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[cardinality-filter_params5-expected5]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params0-expected0]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params2-expected2]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params3-expected3]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params4-expected4]","upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params5-expected5]"],"failed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1]"],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{"upsetplot/tests/test_upsetplot.py::test_filter_subsets[degree-filter_params1-expected1]":"[...]5000 rows x 3 columns]\nexpected = {(True, False, False): 884, (True, True, False): 1547, (True, True, True): 990}\nfilter_params = {'max_subset_rank': 3}\nintersections = cat1 cat0 cat2 \nFalse False False 220\nTrue False False 884\nFalse True False 335\n False True 143\nTrue True False 1547\n False True 623\nFalse True True 258\nTrue True True 990\nName: size, dtype: int64\nkey = (True, True, True)\nsort_by = 'degree'\nsubset_df = index value _bin\ncat1 cat0 cat2 \nTrue True False 0 1.235461 4\n False 2 0.967079 4\n True 3 1.773347 7\n False 4 1.674779 4\n True 7 1.977476 7\n... ... ... ...\n False 4994 1.438863 4\n False False 4995 1.147737 1\n False 4996 1.368000 1\n True False 4998 1.598400 4\n True 4999 2.419338 7\n\n[3421 rows x 3 columns]\nsubset_intersections = cat1 cat0 cat2 \nTrue False False 884\n True False 1547\n True 990\nName: size, dtype: int64\nupset_filtered = \nupset_full = \nvalue = 990\n\nupsetplot/tests/test_upsetplot.py:824: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \npandas/_libs/testing.pyx:55: in pandas._libs.testing.assert_almost_equal\n ???\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n> ???\nE AssertionError: MultiIndex level [0] are different\nE \nE MultiIndex level [0] values are different (33.33333 %)\nE [left]: Index([True, False, True], dtype='bool', name='cat1')\nE [right]: Index([True, True, True], dtype='bool', name='cat1')\nE At positional index 1, first diff: False != True\n\n\npandas/_libs/testing.pyx:173: AssertionError"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-16","seq":16,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-788cde3cad0e40588b2ac6161cda56c5/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-788cde3cad0e40588b2ac6161cda56c5/receipts_pytest.py upsetplot/tests/test_upsetplot.py::test_filter_subsets_max_subset_rank_tie -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-16.xml","path":null,"exit_code":1,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.10.19, pytest-9.0.2, pluggy-1.6.0 -- /usr/local/bin/python\nrootdir: /UpSetPlot\nconfigfile: setup.cfg\nplugins: cov-7.0.0\ncollecting ... collected 1 item\n\nupsetplot/tests/test_upsetplot.py::test_filter_subsets_max_subset_rank_tie FAILED [100%]\n\n=================================== FAILURES ===================================\n___________________ test_filter_subsets_max_subset_rank_tie ____________________\n\n def test_filter_subsets_max_subset_rank_tie():\n data = generate_samples(seed=0, n_samples=5, n_categories=3)\n tested_non_tie = False\n tested_tie = True\n full = UpSet(data, subset_size=\"count\").intersections\n prev = None\n for max_rank in range(1, 5):\n cur = UpSet(data, subset_size=\"count\", max_subset_rank=max_rank).intersections\n if prev is not None:\n if cur.shape[0] > prev.shape[0]:\n # check we add rows only when they are new\n> assert cur.min() < prev.min()\nE assert np.int64(1) < np.int64(1)\nE + where np.int64(1) = min()\nE + where min = cat1 cat0 cat2 \\nTrue False False 2\\n True True 1\\nName: size, dtype: int64.min\nE + and np.int64(1) = min()\nE + where min = cat1 cat0 cat2\\nTrue True True 1\\nName: size, dtype: int64.min\n\ncur = cat1 cat0 cat2 \nTrue False False 2\n True True 1\nName: size, dtype: int64\ndata = index value\ncat0 cat1 cat2 \nFalse False False 0 1.554445\nTrue True True 1 2.532559\nFalse True False 2 1.637462\n False False 3 1.015454\n True False 4 1.235598\nfull = cat1 cat0 cat2 \nFalse False False 2\nTrue False False 2\n True True 1\nName: size, dtype: int64\nmax_rank = 2\nprev = cat1 cat0 cat2\nTrue True True 1\nName: size, dtype: int64\ntested_non_tie = False\ntested_tie = True\n\nupsetplot/tests/test_upsetplot.py:844: AssertionError\n----------- generated xml file: /opt/receipts/reports/agent1-16.xml ------------\n================================ tests coverage ================================\n_______________ coverage: platform linux, python 3.10.19-final-0 _______________\n\nName Stmts Miss Cover\n-------------------------------------------------------\nupsetplot/__init__.py 7 0 100%\nupsetplot/data.py 103 81 21%\nupsetplot/plotting.py 376 286 24%\nupsetplot/reformat.py 122 57 53%\nupsetplot/tests/__init__.py 0 0 100%\nupsetplot/tests/test_data.py 91 91 0%\nupsetplot/tests/test_examples.py 13 13 0%\nupsetplot/tests/test_reformat.py 17 17 0%\nupsetplot/tests/test_upsetplot.py 476 386 19%\nupsetplot/util.py 29 22 24%\n-------------------------------------------------------\nTOTAL 1234 953 23%\n=========================== short test summary info ============================\nFAILED upsetplot/tests/test_upsetplot.py::test_filter_subsets_max_subset_rank_tie - assert np.int64(1) < np.int64(1)\n + where np.int64(1) = min()\n + where min = cat1 cat0 cat2 \\nTrue False False 2\\n True True 1\\nName: size, dtype: int64.min\n + and np.int64(1) = min()\n + where min = cat1 cat0 cat2\\nTrue True True 1\\nName: size, dtype: int64.min\n============================== 1 failed in 2.37s ===============================\n","stderr_tail":"","stdout_sha256":"8c64091f3e752253d78e5451e915a35e5ec53875af00d3bdc0ee4bb9e3b3447c","log_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/logs/agent1/agent1-16.log","tree_digest":"9d1c7f1d40ec8d4b6b3eb2e6329b781345efe2c346f39bf5f485e4d74b1bba96","tree_download_s":2.3945721660275012,"started_at":"2026-10-03T17:11:37.882512Z","duration_s":3.1141140000000003,"timed_out":false,"image_before":"d724d65d-a201-4b49-89fe-dc1cbf1d8d5b","image_after":"43eecafe-bf79-4a58-8710-89a7d19e64ba","junit":{"passed":[],"failed":["upsetplot/tests/test_upsetplot.py::test_filter_subsets_max_subset_rank_tie"],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{"upsetplot/tests/test_upsetplot.py::test_filter_subsets_max_subset_rank_tie":"assert np.int64(1) < np.int64(1)\n + where np.int64(1) = min()\n + where min = cat1 cat0 cat2 \\nTrue False False 2\\n True True 1\\nName: size, dtype: int64.min\n + and np.int64(1) = min()\n + where min = cat1 cat0 cat2\\nTrue True True 1\\nName: size, dtype: int64.min\ndef test_filter_subsets_max_subset_rank_tie():\n data = generate_samples(seed=0, n_samples=5, n_categories=3)\n tested_non_tie = False\n tested_tie = True\n full = UpSet(data, subset_size=\"count\").intersections\n prev = None\n for max_rank in range(1, 5):\n cur = UpSet(data, subset_size=\"count\", max_subset_rank=max_rank).intersections\n if prev is not None:\n if cur.shape[0] > prev.shape[0]:\n # check we add rows only when they are new\n> assert cur.min() < prev.min()\nE assert np.int64(1) < np.int64(1)\nE + where np.int64(1) = min()\nE + where min = cat1 cat0 cat2 \\nTrue False False 2\\n True True 1\\nName: size, dtype: int64.min\nE + and np.int64(1) = min()\nE + where min = cat1 cat0 cat2\\nTrue True True 1\\nName: size, dtype: int64.min\n\ncur = cat1 cat0 cat2 \nTrue False False 2\n True True 1\nName: size, dtype: int64\ndata = index value\ncat0 cat1 cat2 \nFalse False False 0 1.554445\nTrue True True 1 2.532559\nFalse True False 2 1.637462\n False False 3 1.015454\n True False 4 1.235598\nfull = cat1 cat0 cat2 \nFalse False False 2\nTrue False False 2\n True True 1\nName: size, dtype: int64\nmax_rank = 2\nprev = cat1 cat0 cat2\nTrue True True 1\nName: size, dtype: int64\ntested_non_tie = False\ntested_tie = True\n\nupsetplot/tests/test_upsetplot.py:844: AssertionError"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null} {"receipt_id":"agent1-17","seq":17,"branch_id":"agent1","kind":"diff","cmd":"compute patch in executor staging agent1-162aad540933433f8c2f85acb9460c1d: /opt/homebrew/Cellar/git/2.53.0/bin/git -c core.hooksPath=/dev/null -c core.attributesFile=/dev/null -c diff.external= -c core.quotePath=false add -A && /opt/homebrew/Cellar/git/2.53.0/bin/git -c core.hooksPath=/dev/null -c core.attributesFile=/dev/null -c diff.external= -c core.quotePath=false diff --cached --binary --no-ext-diff --no-textconv --no-renames 42a696e1cad5ba0dfb8e3627b68b05608ab466ce","path":null,"exit_code":0,"stdout_tail":"diff --git a/upsetplot/plotting.py b/upsetplot/plotting.py\nindex 0451215..3249e25 100644\n--- a/upsetplot/plotting.py\n+++ b/upsetplot/plotting.py\n@@ -32,6 +32,7 @@ def _process_data(\n max_degree=None,\n reverse=False,\n include_empty_subsets=False,\n+ subset_rank_limit=None,\n ):\n results = query(\n df,\n@@ -71,6 +72,23 @@ def _process_data(\n if reverse:\n agg = agg[::-1]\n \n+ if subset_rank_limit is not None:\n+ # Determine whether to take head or tail based on sort_by\n+ if sort_by == 'degree':\n+ # Assume query returns ascending degree; we want highest degree -> take tail\n+ agg_slice = agg.iloc[-subset_rank_limit:]\n+ # Compute offset of first kept row\n+ start_idx = len(agg) - subset_rank_limit\n+ else:\n+ agg_slice = agg.iloc[:subset_rank_limit]\n+ start_idx = 0\n+ agg = agg_slice\n+ # Keep rows where _bin falls within kept slice\n+ keep_mask = (df[\"_bin\"] >= start_idx) & (df[\"_bin\"] < start_idx + subset_rank_limit)\n+ df = df[keep_mask].copy()\n+ # Remap _bin to new sequential order\n+ df[\"_bin\"] = df[\"_bin\"].map({old: new - start_idx for new, old in enumerate(range(start_idx, start_idx + subset_rank_limit))})\n+\n return results.total, df, agg, results.category_totals\n \n \n@@ -208,6 +226,13 @@ class UpSet:\n Maximum degree of a subset to be shown in the plot.\n \n .. versionadded:: 0.5\n+\n+ max_subset_rank : int, optional\n+ Maximum number of subsets to be shown in the plot, ordered by\n+ ``sort_by``. Only the top ``max_subset_rank`` intersections will\n+ be displayed.\n+\n+ .. versionadded:: 0.12\n facecolor : 'auto' or matplotlib color or float\n Color for bar charts and active dots. Defaults to black if\n axes.facecolor is a light color, otherwise white.\n@@ -282,6 +307,7 @@ class UpSet:\n show_counts=\"\",\n show_percentages=False,\n include_empty_subsets=False,\n+ max_subset_rank=None,\n ):\n self._horizontal = orientation == \"horizontal\"\n self._reorient = _identity if self._horizontal else _transpose\n@@ -328,6 +354,7 @@ class UpSet:\n max_degree=max_degree,\n reverse=not self._horizontal,\n include_empty_subsets=include_empty_subsets,\n+ subset_rank_limit=max_subset_rank,\n )\n self.subset_styles = [\n {\"facecolor\": facecolor} for i in range(len(self.intersections))\n","stderr_tail":"","stdout_sha256":"02203f5c37b0cf5a84d9fdce3415594a83f9ae52263c01b43fba626f7dcfd9b3","log_path":null,"tree_digest":"9d1c7f1d40ec8d4b6b3eb2e6329b781345efe2c346f39bf5f485e4d74b1bba96","tree_download_s":1.8252239162102342,"started_at":"2026-10-03T17:11:52.636086Z","duration_s":0.02524662483483553,"timed_out":false,"image_before":"43eecafe-bf79-4a58-8710-89a7d19e64ba","image_after":"43eecafe-bf79-4a58-8710-89a7d19e64ba","junit":null,"diff":{"files":[{"path":"upsetplot/plotting.py","added":27,"deleted":0,"category":"source","status":"modified"}],"patch_sha256":"02203f5c37b0cf5a84d9fdce3415594a83f9ae52263c01b43fba626f7dcfd9b3","patch_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/artifacts/agent1/agent1-17.patch"},"patch_sha256":"02203f5c37b0cf5a84d9fdce3415594a83f9ae52263c01b43fba626f7dcfd9b3","dropped_paths":[],"snapshot_sha":"42a696e1cad5ba0dfb8e3627b68b05608ab466ce"} {"receipt_id":"agent1-18","seq":18,"branch_id":"agent1","kind":"diff","cmd":"compute patch in executor staging agent1-00359301042e4606808d51a325ede76b: /opt/homebrew/Cellar/git/2.53.0/bin/git -c core.hooksPath=/dev/null -c core.attributesFile=/dev/null -c diff.external= -c core.quotePath=false add -A && /opt/homebrew/Cellar/git/2.53.0/bin/git -c core.hooksPath=/dev/null -c core.attributesFile=/dev/null -c diff.external= -c core.quotePath=false diff --cached --binary --no-ext-diff --no-textconv --no-renames 42a696e1cad5ba0dfb8e3627b68b05608ab466ce","path":null,"exit_code":0,"stdout_tail":"diff --git a/upsetplot/plotting.py b/upsetplot/plotting.py\nindex 0451215..3249e25 100644\n--- a/upsetplot/plotting.py\n+++ b/upsetplot/plotting.py\n@@ -32,6 +32,7 @@ def _process_data(\n max_degree=None,\n reverse=False,\n include_empty_subsets=False,\n+ subset_rank_limit=None,\n ):\n results = query(\n df,\n@@ -71,6 +72,23 @@ def _process_data(\n if reverse:\n agg = agg[::-1]\n \n+ if subset_rank_limit is not None:\n+ # Determine whether to take head or tail based on sort_by\n+ if sort_by == 'degree':\n+ # Assume query returns ascending degree; we want highest degree -> take tail\n+ agg_slice = agg.iloc[-subset_rank_limit:]\n+ # Compute offset of first kept row\n+ start_idx = len(agg) - subset_rank_limit\n+ else:\n+ agg_slice = agg.iloc[:subset_rank_limit]\n+ start_idx = 0\n+ agg = agg_slice\n+ # Keep rows where _bin falls within kept slice\n+ keep_mask = (df[\"_bin\"] >= start_idx) & (df[\"_bin\"] < start_idx + subset_rank_limit)\n+ df = df[keep_mask].copy()\n+ # Remap _bin to new sequential order\n+ df[\"_bin\"] = df[\"_bin\"].map({old: new - start_idx for new, old in enumerate(range(start_idx, start_idx + subset_rank_limit))})\n+\n return results.total, df, agg, results.category_totals\n \n \n@@ -208,6 +226,13 @@ class UpSet:\n Maximum degree of a subset to be shown in the plot.\n \n .. versionadded:: 0.5\n+\n+ max_subset_rank : int, optional\n+ Maximum number of subsets to be shown in the plot, ordered by\n+ ``sort_by``. Only the top ``max_subset_rank`` intersections will\n+ be displayed.\n+\n+ .. versionadded:: 0.12\n facecolor : 'auto' or matplotlib color or float\n Color for bar charts and active dots. Defaults to black if\n axes.facecolor is a light color, otherwise white.\n@@ -282,6 +307,7 @@ class UpSet:\n show_counts=\"\",\n show_percentages=False,\n include_empty_subsets=False,\n+ max_subset_rank=None,\n ):\n self._horizontal = orientation == \"horizontal\"\n self._reorient = _identity if self._horizontal else _transpose\n@@ -328,6 +354,7 @@ class UpSet:\n max_degree=max_degree,\n reverse=not self._horizontal,\n include_empty_subsets=include_empty_subsets,\n+ subset_rank_limit=max_subset_rank,\n )\n self.subset_styles = [\n {\"facecolor\": facecolor} for i in range(len(self.intersections))\n","stderr_tail":"","stdout_sha256":"02203f5c37b0cf5a84d9fdce3415594a83f9ae52263c01b43fba626f7dcfd9b3","log_path":null,"tree_digest":"9d1c7f1d40ec8d4b6b3eb2e6329b781345efe2c346f39bf5f485e4d74b1bba96","tree_download_s":2.8729731249623,"started_at":"2026-10-03T17:12:32.336699Z","duration_s":0.029177374904975295,"timed_out":false,"image_before":"43eecafe-bf79-4a58-8710-89a7d19e64ba","image_after":"43eecafe-bf79-4a58-8710-89a7d19e64ba","junit":null,"diff":{"files":[{"path":"upsetplot/plotting.py","added":27,"deleted":0,"category":"source","status":"modified"}],"patch_sha256":"02203f5c37b0cf5a84d9fdce3415594a83f9ae52263c01b43fba626f7dcfd9b3","patch_path":"~/dev/nebius-hackathon/pilot/v2-P/jnothman__upsetplot-253/runs/pilot-jnothman__upsetplot-253-e2569d546a/artifacts/agent1/agent1-18.patch"},"patch_sha256":"02203f5c37b0cf5a84d9fdce3415594a83f9ae52263c01b43fba626f7dcfd9b3","dropped_paths":[],"snapshot_sha":"42a696e1cad5ba0dfb8e3627b68b05608ab466ce"}