{"receipt_id":"agent1-1","seq":1,"branch_id":"agent1","kind":"command","cmd":"git ls-files -z","path":null,"exit_code":0,"stdout_tail":".editorconfig\u0000.github/ISSUE_TEMPLATE.md\u0000.gitignore\u0000.travis.yml\u0000AUTHORS.rst\u0000CONTRIBUTING.rst\u0000HISTORY.md\u0000LICENSE\u0000MANIFEST.in\u0000Makefile\u0000README.md\u0000copulas/__init__.py\u0000copulas/bivariate/__init__.py\u0000copulas/bivariate/base.py\u0000copulas/bivariate/clayton.py\u0000copulas/bivariate/frank.py\u0000copulas/bivariate/gumbel.py\u0000copulas/multivariate/__init__.py\u0000copulas/multivariate/base.py\u0000copulas/multivariate/gaussian.py\u0000copulas/multivariate/tree.py\u0000copulas/multivariate/vine.py\u0000copulas/univariate/__init__.py\u0000copulas/univariate/base.py\u0000copulas/univariate/gaussian.py\u0000copulas/univariate/kde.py\u0000data/example.csv\u0000data/iris.data.csv\u0000docs/Makefile\u0000docs/authors.rst\u0000docs/conf.py\u0000docs/contributing.rst\u0000docs/history.rst\u0000docs/index.rst\u0000docs/installation.rst\u0000docs/make.bat\u0000docs/readme.rst\u0000docs/usage.rst\u0000examples/copulas_example.py\u0000examples/example.py\u0000examples/example_aws.ipynb\u0000examples/utils.py\u0000setup.cfg\u0000setup.py\u0000tests/__init__.py\u0000tests/copulas/bivariate/test_base.py\u0000tests/copulas/bivariate/test_clayton.py\u0000tests/copulas/bivariate/test_frank.py\u0000tests/copulas/bivariate/test_gumbel.py\u0000tests/copulas/multivariate/test_gaussian_copula.py\u0000tests/copulas/multivariate/test_tree.py\u0000tests/copulas/multivariate/test_vine.py\u0000tests/copulas/univariate/test_gaussian.py\u0000tests/copulas/univariate/test_kde.py\u0000tox.ini\u0000","stderr_tail":"","stdout_sha256":"f4253344f47c60e6f8f485264e9fef930211f6ec9a516526d03fb62f2f975da9","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-1.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T20:14:23.909361Z","duration_s":0.003964,"timed_out":false,"image_before":"754d9ab2-2f3b-403f-b0c4-e47ada8a95ff","image_after":"0413d24e-0d61-466a-827d-719f7e3c1a01","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-aa53701c660248ac9f99430bdbfebc41/bin/busybox sh -c 'mkdir -p /Copulas/copulas/multivariate && cp /opt/receipts-aa53701c660248ac9f99430bdbfebc41/incoming/333edf4ca679421c9f3a51e7a3692dfb046032a45e3386617f34c9559962bcc7 /Copulas/copulas/multivariate/vine.py'","path":"copulas/multivariate/vine.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"333edf4ca679421c9f3a51e7a3692dfb046032a45e3386617f34c9559962bcc7","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-2.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T20:14:36.299516Z","duration_s":0.004626,"timed_out":false,"image_before":"0413d24e-0d61-466a-827d-719f7e3c1a01","image_after":"5d08110f-345f-4a77-9087-edd2c5de2542","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-3","seq":3,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-a63fafefef8c4540835fe994ce6a4325/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-a63fafefef8c4540835fe994ce6a4325/receipts_pytest.py tests/copulas/multivariate/test_vine.py::TestVine::test_sample -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-3.xml","path":null,"exit_code":1,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.7.17, pytest-7.4.4, pluggy-1.2.0 -- /usr/local/bin/python\nrootdir: /Copulas\nconfigfile: setup.cfg\nplugins: cov-4.1.0\ncollecting ... collected 1 item\n\ntests/copulas/multivariate/test_vine.py::TestVine::test_sample FAILED    [100%]\n\n=================================== FAILURES ===================================\n_____________________________ TestVine.test_sample _____________________________\n\nself = <test_vine.TestVine testMethod=test_sample>\nsample_mock = <function _sample_row at 0x7fffe652d830>\n\n    @patch('copulas.multivariate.vine.VineCopula._sample_row', autospec=True)\n    def test_sample(self, sample_mock):\n        \"\"\"After being fit, a vine can sample new data.\"\"\"\n        # Setup\n        vine = VineCopula(TreeTypes.REGULAR)\n        X = pd.DataFrame([\n            [1, 0, 0, 0],\n            [0, 1, 0, 0],\n            [0, 0, 1, 0],\n            [0, 0, 0, 1]\n        ], columns=list('ABCD'))\n        vine.fit(X)\n    \n        expected_result = pd.DataFrame([\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n        ])\n    \n        sample_mock.return_value = np.array([1, 2, 3, 4])\n    \n        # Run\n>       result = vine.sample(5)\n\ntests/copulas/multivariate/test_vine.py:234: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <copulas.multivariate.vine.VineCopula object at 0x7fffe6529d90>\nnum_rows = 5\n\n    def sample(self, num_rows=1):\n        \"\"\"Generating samples from vine model.\n    \n        Args:\n            num_rows: Number of rows to sample.\n    \n        Returns:\n            pandas.DataFrame with sampled data.\n        \"\"\"\n>       from copulas.utils import check_random_state\nE       ModuleNotFoundError: No module named 'copulas.utils'\n\ncopulas/multivariate/vine.py:224: ModuleNotFoundError\n=============================== warnings summary ===============================\n../usr/local/lib/python3.7/site-packages/_pytest/config/__init__.py:1373\n  /usr/local/lib/python3.7/site-packages/_pytest/config/__init__.py:1373: PytestConfigWarning: Unknown config option: collect_ignore\n  \n    self._warn_or_fail_if_strict(f\"Unknown config option: {key}\\n\")\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n------------ generated xml file: /opt/receipts/reports/agent1-3.xml ------------\n=========================== short test summary info ============================\nFAILED tests/copulas/multivariate/test_vine.py::TestVine::test_sample - Modul...\n========================= 1 failed, 1 warning in 0.89s =========================\n","stderr_tail":"","stdout_sha256":"4710e9d3d0126285307a848e7938c7cffa30ae2ca0c9451f3d5ef9a9ccec66e7","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-3.log","tree_digest":"f31abeb59611ec9b2ca215efc68350ee05bc7d0f3f4fd8faf8224368551b46cb","tree_download_s":2.5453435420058668,"started_at":"2026-10-03T20:14:38.265836Z","duration_s":0.824652,"timed_out":false,"image_before":"5d08110f-345f-4a77-9087-edd2c5de2542","image_after":"281df0ab-08a5-4b28-9f67-c3aed48a3e26","junit":{"passed":[],"failed":["tests/copulas/multivariate/test_vine.py::TestVine::test_sample"],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{"tests/copulas/multivariate/test_vine.py::TestVine::test_sample":"ModuleNotFoundError: No module named 'copulas.utils'\nself = <test_vine.TestVine testMethod=test_sample>\nsample_mock = <function _sample_row at 0x7fffe652d830>\n\n    @patch('copulas.multivariate.vine.VineCopula._sample_row', autospec=True)\n    def test_sample(self, sample_mock):\n        \"\"\"After being fit, a vine can sample new data.\"\"\"\n        # Setup\n        vine = VineCopula(TreeTypes.REGULAR)\n        X = pd.DataFrame([\n            [1, 0, 0, 0],\n            [0, 1, 0, 0],\n            [0, 0, 1, 0],\n            [0, 0, 0, 1]\n        ], columns=list('ABCD'))\n        vine.fit(X)\n    \n        expected_result = pd.DataFrame([\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n        ])\n    \n        sample_mock.return_value = np.array([1, 2, 3, 4])\n    \n        # Run\n>       result = vine.sample(5)\n\ntests/copulas/multivariate/test_vine.py:234: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <copulas.multivariate.vine.VineCopula object at 0x7fffe6529d90>\nnum_rows = 5\n\n    def sample(self, num_rows=1):\n        \"\"\"Generating samples from vine model.\n    \n        Args:\n            num_rows: Number of rows to sample.\n    \n        Returns:\n            pandas.DataFrame with sampled data.\n        \"\"\"\n>       from copulas.utils import check_random_state\nE       ModuleNotFoundError: No module named 'copulas.utils'\n\ncopulas/multivariate/vine.py:224: ModuleNotFoundError"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-4","seq":4,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-2135e9dc8ced4d02a14ce2fc207a2ef7/bin/busybox sh -c 'mkdir -p /Copulas/copulas/multivariate && cp /opt/receipts-2135e9dc8ced4d02a14ce2fc207a2ef7/incoming/b89b2a36d22e2a7faece289f702bf914e8a5a76be15a23d96625f3d25a5f2d66 /Copulas/copulas/multivariate/vine.py'","path":"copulas/multivariate/vine.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"b89b2a36d22e2a7faece289f702bf914e8a5a76be15a23d96625f3d25a5f2d66","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-4.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T20:14:46.499225Z","duration_s":0.005228,"timed_out":false,"image_before":"281df0ab-08a5-4b28-9f67-c3aed48a3e26","image_after":"8a535b5a-2429-4af7-9692-e020ec64c025","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-6d1ed9ae760042eabaf3c05f7ed067e9/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-6d1ed9ae760042eabaf3c05f7ed067e9/receipts_pytest.py tests/copulas/multivariate/test_vine.py::TestVine::test_sample -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":"============================= test session starts ==============================\nplatform linux -- Python 3.7.17, pytest-7.4.4, pluggy-1.2.0 -- /usr/local/bin/python\nrootdir: /Copulas\nconfigfile: setup.cfg\nplugins: cov-4.1.0\ncollecting ... collected 1 item\n\ntests/copulas/multivariate/test_vine.py::TestVine::test_sample FAILED    [100%]\n\n=================================== FAILURES ===================================\n_____________________________ TestVine.test_sample _____________________________\n\nself = <test_vine.TestVine testMethod=test_sample>\nsample_mock = <function _sample_row at 0x7fffe656d830>\n\n    @patch('copulas.multivariate.vine.VineCopula._sample_row', autospec=True)\n    def test_sample(self, sample_mock):\n        \"\"\"After being fit, a vine can sample new data.\"\"\"\n        # Setup\n        vine = VineCopula(TreeTypes.REGULAR)\n        X = pd.DataFrame([\n            [1, 0, 0, 0],\n            [0, 1, 0, 0],\n            [0, 0, 1, 0],\n            [0, 0, 0, 1]\n        ], columns=list('ABCD'))\n        vine.fit(X)\n    \n        expected_result = pd.DataFrame([\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n        ])\n    \n        sample_mock.return_value = np.array([1, 2, 3, 4])\n    \n        # Run\n>       result = vine.sample(5)\n\ntests/copulas/multivariate/test_vine.py:234: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <copulas.multivariate.vine.VineCopula object at 0x7fffe65b0090>\nnum_rows = 5\n\n    def sample(self, num_rows=1):\n        \"\"\"Generating samples from vine model.\n    \n        Args:\n            num_rows: Number of rows to sample.\n    \n        Returns:\n            pandas.DataFrame with sampled data.\n        \"\"\"\n        samples = np.vstack([self._sample_row() for _ in range(num_rows)])\n>       return self.numpy_to_dataframe(samples)\nE       AttributeError: 'VineCopula' object has no attribute 'numpy_to_dataframe'\n\ncopulas/multivariate/vine.py:225: AttributeError\n=============================== warnings summary ===============================\n../usr/local/lib/python3.7/site-packages/_pytest/config/__init__.py:1373\n  /usr/local/lib/python3.7/site-packages/_pytest/config/__init__.py:1373: PytestConfigWarning: Unknown config option: collect_ignore\n  \n    self._warn_or_fail_if_strict(f\"Unknown config option: {key}\\n\")\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n------------ generated xml file: /opt/receipts/reports/agent1-5.xml ------------\n=========================== short test summary info ============================\nFAILED tests/copulas/multivariate/test_vine.py::TestVine::test_sample - Attri...\n========================= 1 failed, 1 warning in 0.91s =========================\n","stderr_tail":"","stdout_sha256":"5887374c8a51abc3480ebca18288cf267221421ad4956ff1e892392bb2317c43","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-5.log","tree_digest":"af85e2896218f0c26e926043bf5146637e7877018b6d1772be7aea74b125c29b","tree_download_s":1.9475334999151528,"started_at":"2026-10-03T20:14:48.575015Z","duration_s":0.855345,"timed_out":false,"image_before":"8a535b5a-2429-4af7-9692-e020ec64c025","image_after":"5056e63c-a732-4457-bb75-1bec8edeb757","junit":{"passed":[],"failed":["tests/copulas/multivariate/test_vine.py::TestVine::test_sample"],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{"tests/copulas/multivariate/test_vine.py::TestVine::test_sample":"AttributeError: 'VineCopula' object has no attribute 'numpy_to_dataframe'\nself = <test_vine.TestVine testMethod=test_sample>\nsample_mock = <function _sample_row at 0x7fffe656d830>\n\n    @patch('copulas.multivariate.vine.VineCopula._sample_row', autospec=True)\n    def test_sample(self, sample_mock):\n        \"\"\"After being fit, a vine can sample new data.\"\"\"\n        # Setup\n        vine = VineCopula(TreeTypes.REGULAR)\n        X = pd.DataFrame([\n            [1, 0, 0, 0],\n            [0, 1, 0, 0],\n            [0, 0, 1, 0],\n            [0, 0, 0, 1]\n        ], columns=list('ABCD'))\n        vine.fit(X)\n    \n        expected_result = pd.DataFrame([\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n            {'A': 1, 'B': 2, 'C': 3, 'D': 4},\n        ])\n    \n        sample_mock.return_value = np.array([1, 2, 3, 4])\n    \n        # Run\n>       result = vine.sample(5)\n\ntests/copulas/multivariate/test_vine.py:234: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = <copulas.multivariate.vine.VineCopula object at 0x7fffe65b0090>\nnum_rows = 5\n\n    def sample(self, num_rows=1):\n        \"\"\"Generating samples from vine model.\n    \n        Args:\n            num_rows: Number of rows to sample.\n    \n        Returns:\n            pandas.DataFrame with sampled data.\n        \"\"\"\n        samples = np.vstack([self._sample_row() for _ in range(num_rows)])\n>       return self.numpy_to_dataframe(samples)\nE       AttributeError: 'VineCopula' object has no attribute 'numpy_to_dataframe'\n\ncopulas/multivariate/vine.py:225: AttributeError"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-6","seq":6,"branch_id":"agent1","kind":"command","cmd":"find . -name \"*.py\" -exec grep -l \"numpy_to_dataframe\\|dataframe_to_numpy\" {} \\;","path":null,"exit_code":0,"stdout_tail":"./copulas/multivariate/vine.py\n","stderr_tail":"","stdout_sha256":"ed7c18ad4767e85c71c999c8131dc427ecceeb2a7d2852548bfb13947a84aa98","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-6.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T20:14:56.335493Z","duration_s":0.045163999999999996,"timed_out":false,"image_before":"5056e63c-a732-4457-bb75-1bec8edeb757","image_after":"0b450f22-d997-4686-8eb9-7c4c541f16d2","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-7","seq":7,"branch_id":"agent1","kind":"command","cmd":"grep -r \"def.*dataframe\" copulas/ --include=\"*.py\"","path":null,"exit_code":1,"stdout_tail":"","stderr_tail":"","stdout_sha256":"e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-7.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T20:14:59.238927Z","duration_s":0.003757,"timed_out":false,"image_before":"0b450f22-d997-4686-8eb9-7c4c541f16d2","image_after":"3bae43c5-f42f-40e9-842b-510987378a6c","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-8","seq":8,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-472f3753aefb4df0b1e991bfc09d87e8/bin/busybox sh -c 'mkdir -p /Copulas/copulas/multivariate && cp /opt/receipts-472f3753aefb4df0b1e991bfc09d87e8/incoming/e0d0f6a6a3e6d248aed147b0a08a033708f9ed4b785632fc750bc4fbeb62ded4 /Copulas/copulas/multivariate/vine.py'","path":"copulas/multivariate/vine.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"e0d0f6a6a3e6d248aed147b0a08a033708f9ed4b785632fc750bc4fbeb62ded4","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-8.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T20:15:08.286809Z","duration_s":0.004975,"timed_out":false,"image_before":"3bae43c5-f42f-40e9-842b-510987378a6c","image_after":"841d99ff-ba19-4db3-9351-0d92d069073e","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-9","seq":9,"branch_id":"agent1","kind":"write","cmd":"/opt/receipts-5d4386dced2d40e59d20917d05906d65/bin/busybox sh -c 'mkdir -p /Copulas/copulas/multivariate && cp /opt/receipts-5d4386dced2d40e59d20917d05906d65/incoming/e43130652ec32001cceb8d1d18de157374a0cee34a18d63815c852dec374ee4a /Copulas/copulas/multivariate/vine.py'","path":"copulas/multivariate/vine.py","exit_code":0,"stdout_tail":"","stderr_tail":"","stdout_sha256":"e43130652ec32001cceb8d1d18de157374a0cee34a18d63815c852dec374ee4a","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-9.log","tree_digest":null,"tree_download_s":null,"started_at":"2026-10-03T20:15:11.757041Z","duration_s":0.005136,"timed_out":false,"image_before":"841d99ff-ba19-4db3-9351-0d92d069073e","image_after":"42ee5ac6-cc03-451d-ba58-b80c196b4fc6","junit":null,"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-10","seq":10,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-e02adc9b3534402e9732da84fa6475aa/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-e02adc9b3534402e9732da84fa6475aa/receipts_pytest.py tests/copulas/multivariate/test_vine.py::TestVine::test_sample -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-10.xml","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\nplatform linux -- Python 3.7.17, pytest-7.4.4, pluggy-1.2.0 -- /usr/local/bin/python\nrootdir: /Copulas\nconfigfile: setup.cfg\nplugins: cov-4.1.0\ncollecting ... collected 1 item\n\ntests/copulas/multivariate/test_vine.py::TestVine::test_sample PASSED    [100%]\n\n=============================== warnings summary ===============================\n../usr/local/lib/python3.7/site-packages/_pytest/config/__init__.py:1373\n  /usr/local/lib/python3.7/site-packages/_pytest/config/__init__.py:1373: PytestConfigWarning: Unknown config option: collect_ignore\n  \n    self._warn_or_fail_if_strict(f\"Unknown config option: {key}\\n\")\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n==================================== PASSES ====================================\n----------- generated xml file: /opt/receipts/reports/agent1-10.xml ------------\n=========================== short test summary info ============================\nPASSED tests/copulas/multivariate/test_vine.py::TestVine::test_sample\n========================= 1 passed, 1 warning in 0.86s =========================\n","stderr_tail":"","stdout_sha256":"f82ba939432940fc73307c4895b4830558d15e184378329e8ae5de71c0bc65f4","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-10.log","tree_digest":"6e9a067e4fbb3eb5057000b3bbdb384d755d476446ddc420f2526c718bb0bb32","tree_download_s":1.4315325419884175,"started_at":"2026-10-03T20:15:14.008562Z","duration_s":0.809182,"timed_out":false,"image_before":"42ee5ac6-cc03-451d-ba58-b80c196b4fc6","image_after":"7bc34d42-5c0f-4403-8ced-eeeb451e2cc1","junit":{"passed":["tests/copulas/multivariate/test_vine.py::TestVine::test_sample"],"failed":[],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-11","seq":11,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-defbc739eb9b48f39a2c23d57946f481/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-defbc739eb9b48f39a2c23d57946f481/receipts_pytest.py tests/copulas/multivariate/test_vine.py --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-11.xml","path":null,"exit_code":0,"stdout_tail":"============================= test session starts ==============================\ncollected 6 items\n\ntests/copulas/multivariate/test_vine.py ......                           [100%]\n\n=============================== warnings summary ===============================\n../usr/local/lib/python3.7/site-packages/_pytest/config/__init__.py:1373\n  /usr/local/lib/python3.7/site-packages/_pytest/config/__init__.py:1373: PytestConfigWarning: Unknown config option: collect_ignore\n  \n    self._warn_or_fail_if_strict(f\"Unknown config option: {key}\\n\")\n\ntests/copulas/multivariate/test_vine.py::TestVine::test_serialization_fit_model\n  /Copulas/copulas/bivariate/frank.py:33: RuntimeWarning: overflow encountered in exp\n    return np.exp(np.multiply(-self.theta, z)) - 1\n\ntests/copulas/multivariate/test_vine.py::TestVine::test_serialization_fit_model\n  /Copulas/copulas/bivariate/frank.py:119: RuntimeWarning: invalid value encountered in true_divide\n    return (num / den) - y\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n==================================== PASSES ====================================\n----------- generated xml file: /opt/receipts/reports/agent1-11.xml ------------\n=========================== short test summary info ============================\nPASSED tests/copulas/multivariate/test_vine.py::TestVine::test_from_dict\nPASSED tests/copulas/multivariate/test_vine.py::TestVine::test_get_likelihood\nPASSED tests/copulas/multivariate/test_vine.py::TestVine::test_sample\nPASSED tests/copulas/multivariate/test_vine.py::TestVine::test_serialization_fit_model\nPASSED tests/copulas/multivariate/test_vine.py::TestVine::test_serialization_unfitted_model\nPASSED tests/copulas/multivariate/test_vine.py::TestVine::test_to_dict\n======================== 6 passed, 3 warnings in 1.07s =========================\n","stderr_tail":"","stdout_sha256":"048f7c48e20bf37ee0af58b5783e37242074e14f6f6b87dce45262778f0bc054","log_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/logs/agent1/agent1-11.log","tree_digest":"6e9a067e4fbb3eb5057000b3bbdb384d755d476446ddc420f2526c718bb0bb32","tree_download_s":2.034224584000185,"started_at":"2026-10-03T20:15:22.523340Z","duration_s":1.017198,"timed_out":false,"image_before":"7bc34d42-5c0f-4403-8ced-eeeb451e2cc1","image_after":"3b5a6fcc-92e0-4bf1-8836-ba3abcadff73","junit":{"passed":["tests/copulas/multivariate/test_vine.py::TestVine::test_from_dict","tests/copulas/multivariate/test_vine.py::TestVine::test_get_likelihood","tests/copulas/multivariate/test_vine.py::TestVine::test_sample","tests/copulas/multivariate/test_vine.py::TestVine::test_serialization_fit_model","tests/copulas/multivariate/test_vine.py::TestVine::test_serialization_unfitted_model","tests/copulas/multivariate/test_vine.py::TestVine::test_to_dict"],"failed":[],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
{"receipt_id":"agent1-12","seq":12,"branch_id":"agent1","kind":"diff","cmd":"compute patch in executor staging agent1-2e170bcd9a3b480bbf91df4273ebd94a: /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 131fc916b30fe1b8d8c5404864fd540b386334ec","path":null,"exit_code":0,"stdout_tail":"diff --git a/copulas/multivariate/vine.py b/copulas/multivariate/vine.py\nindex 720c56f..c11b769 100644\n--- a/copulas/multivariate/vine.py\n+++ b/copulas/multivariate/vine.py\n@@ -85,6 +85,12 @@ class VineCopula(Multivariate):\n             X: `np.ndarray`: data to be fitted.\n             truncated: `int` max level to build the vine.\n         \"\"\"\n+        # Store column names if X is a DataFrame\n+        if hasattr(X, 'columns'):\n+            self.columns = list(X.columns)\n+        else:\n+            self.columns = [f'X{i}' for i in range(X.shape[1])]\n+            \n         self.n_sample, self.n_var = X.shape\n         self.tau_mat = X.corr(method='kendall').values\n         self.u_matrix = np.empty([self.n_sample, self.n_var])\n@@ -134,8 +140,8 @@ class VineCopula(Multivariate):\n \n         return np.sum(values)\n \n-    def sample(self, num_rows=1):\n-        \"\"\"Generating samples from vine model.\"\"\"\n+    def _sample_row(self):\n+        \"\"\"Generate a single sample from the vine model.\"\"\"\n         unis = np.random.uniform(0, 1, self.n_var)\n         # randomly select a node to start with\n         first_ind = randint(0, self.n_var - 1)\n@@ -180,7 +186,7 @@ class VineCopula(Multivariate):\n                                 break\n \n                     if current_ind != -1:\n-                        # the node is not indepedent contional on visited node\n+                        # the node is not independent conditional on visited node\n                         copula_type = current_tree[current_ind].name\n                         copula = Bivariate(CopulaTypes(copula_type))\n                         copula.theta = current_tree[current_ind].theta\n@@ -211,3 +217,16 @@ class VineCopula(Multivariate):\n             visited.insert(0, current)\n \n         return sampled\n+\n+    def sample(self, num_rows=1):\n+        \"\"\"Generating samples from vine model.\n+        \n+        Args:\n+            num_rows: Number of rows to sample.\n+            \n+        Returns:\n+            pandas.DataFrame with sampled data.\n+        \"\"\"\n+        import pandas as pd\n+        samples = np.vstack([self._sample_row() for _ in range(num_rows)])\n+        return pd.DataFrame(samples, columns=self.columns)\n","stderr_tail":"","stdout_sha256":"2368f528c770bc07877a06efbdbe4a80f9823040cc80eb42076416d350075eec","log_path":null,"tree_digest":"6e9a067e4fbb3eb5057000b3bbdb384d755d476446ddc420f2526c718bb0bb32","tree_download_s":1.6006465421523899,"started_at":"2026-10-03T20:15:33.335579Z","duration_s":0.12873533298261464,"timed_out":false,"image_before":"3b5a6fcc-92e0-4bf1-8836-ba3abcadff73","image_after":"3b5a6fcc-92e0-4bf1-8836-ba3abcadff73","junit":null,"diff":{"files":[{"path":"copulas/multivariate/vine.py","added":22,"deleted":3,"category":"source","status":"modified"}],"patch_sha256":"2368f528c770bc07877a06efbdbe4a80f9823040cc80eb42076416d350075eec","patch_path":"~/dev/nebius-hackathon/pilot/v2-P/dai-lab__copulas-87/runs/pilot-dai-lab__copulas-87-1b3f3b0728/artifacts/agent1/agent1-12.patch"},"patch_sha256":"2368f528c770bc07877a06efbdbe4a80f9823040cc80eb42076416d350075eec","dropped_paths":[],"snapshot_sha":"131fc916b30fe1b8d8c5404864fd540b386334ec"}
