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{"receipt_id":"agent1-8","seq":8,"branch_id":"agent1","kind":"command","cmd":"/opt/receipts-74f88a3d59eb46749f27908afbae1270/bin/busybox mkdir -p /opt/receipts/reports && python -I /opt/receipts-74f88a3d59eb46749f27908afbae1270/receipts_pytest.py tests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints tests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints_error -v -o junit_family=xunit1 -p no:cacheprovider -rA --continue-on-collection-errors --junitxml=/opt/receipts/reports/agent1-8.xml","path":null,"exit_code":1,"stdout_tail":"umns=sp.columns)\n        assert len(merged_sp) == len(sp) - 3\n        # some staypoints stay the same (not merged)\n>       assert (merged_sp.loc[1] == sp.loc[1]).all()\nE       AssertionError: assert np.False_\nE        +  where np.False_ = all()\nE        +    where all = user_id      ... dtype: object == user_id      ... dtype: object\nE             \nE             Full diff:\nE               user_id                                0\nE               started_at     1971-01-01 00:00:00+00:00\nE               finished_at    1971-01-02 05:00:00+00:00\nE               geom              POINT (8.5067847 47.4)\nE             - location_id                            1...\nE             \nE             ...Full output truncated (4 lines hidden), use '-vv' to show.all\n\ntests/preprocessing/test_staypoints.py:406: AssertionError\n_______________ TestMergeStaypoints.test_merge_staypoints_error ________________\n\nself = <tests.preprocessing.test_staypoints.TestMergeStaypoints object at 0x7fffd26ac040>\nexample_staypoints_merge = (    user_id  ...                  geom\nid           ...                      \n1         0  ...  POINT (8.50678 47.4)\n...  POINT (8.50678 47.4)\n\n[8 rows x 4 columns], Empty GeoDataFrame\nColumns: [user_id, started_at, finished_at]\nIndex: [])\n\n    def test_merge_staypoints_error(self, example_staypoints_merge):\n        sp, tpls = example_staypoints_merge\n        sp.drop(columns=[\"location_id\"], inplace=True)\n        with pytest.raises(AssertionError) as excinfo:\n>           _ = sp.as_staypoints.merge_staypoints(tpls)\n\ntests/preprocessing/test_staypoints.py:467: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \ntrackintel/model/staypoints.py:97: in merge_staypoints\n    return ti.preprocessing.staypoints.merge_staypoints(self._obj, *args, **kwargs)\ntrackintel/preprocessing/staypoints.py:303: in merge_staypoints\n    sp_merge[[\"next_user_id\", \"next_started_at\", \"next_location_id\"]] = sp_merge[\n/usr/local/lib/python3.10/site-packages/geopandas/geodataframe.py:1891: in __getitem__\n    result = super().__getitem__(key)\n/usr/local/lib/python3.10/site-packages/pandas/core/frame.py:4119: in __getitem__\n    indexer = self.columns._get_indexer_strict(key, \"columns\")[1]\n/usr/local/lib/python3.10/site-packages/pandas/core/indexes/base.py:6212: in _get_indexer_strict\n    self._raise_if_missing(keyarr, indexer, axis_name)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = Index(['id', 'user_id', 'started_at', 'finished_at', 'geom', 'type',\n       'next_type', 'index_temp'],\n      dtype='object')\nkey = Index(['user_id', 'started_at', 'location_id'], dtype='object')\nindexer = array([ 1,  2, -1]), axis_name = 'columns'\n\n    def _raise_if_missing(self, key, indexer, axis_name: str_t) -> None:\n        \"\"\"\n        Check that indexer can be used to return a result.\n    \n        e.g. at least one element was found,\n        unless the list of keys was actually empty.\n    \n        Parameters\n        ----------\n        key : list-like\n            Targeted labels (only used to show correct error message).\n        indexer: array-like of booleans\n            Indices corresponding to the key,\n            (with -1 indicating not found).\n        axis_name : str\n    \n        Raises\n        ------\n        KeyError\n            If at least one key was requested but none was found.\n        \"\"\"\n        if len(key) == 0:\n            return\n    \n        # Count missing values\n        missing_mask = indexer < 0\n        nmissing = missing_mask.sum()\n    \n        if nmissing:\n            if nmissing == len(indexer):\n                raise KeyError(f\"None of [{key}] are in the [{axis_name}]\")\n    \n            not_found = list(ensure_index(key)[missing_mask.nonzero()[0]].unique())\n>           raise KeyError(f\"{not_found} not in index\")\nE           KeyError: \"['location_id'] not in index\"\n\n/usr/local/lib/python3.10/site-packages/pandas/core/indexes/base.py:6264: KeyError\n=============================== warnings summary ===============================\ntests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints\ntests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints_error\n  /trackintel/trackintel/model/staypoints.py:67: DeprecationWarning: is_datetime64tz_dtype is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.DatetimeTZDtype)` instead.\n    assert pd.api.types.is_datetime64tz_dtype(\n\ntests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints\ntests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints_error\n  /trackintel/trackintel/model/staypoints.py:70: DeprecationWarning: is_datetime64tz_dtype is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.DatetimeTZDtype)` instead.\n    assert pd.api.types.is_datetime64tz_dtype(\n\ntests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints\ntests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints_error\n  /trackintel/trackintel/preprocessing/staypoints.py:290: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n    sp_tpls = pd.concat([sp_merge, tpls_merge]).sort_values(by=[\"user_id\", \"started_at\"])\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n------------ generated xml file: /opt/receipts/reports/agent1-8.xml ------------\n=========================== short test summary info ============================\nFAILED tests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints\nFAILED tests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints_error\n======================== 2 failed, 6 warnings in 5.14s =========================\n","stderr_tail":"","stdout_sha256":"47db171949cbcbe10d52e0e4ccad6656191234b0a71caaf6f6aba74a45f61ea2","log_path":"~/dev/nebius-hackathon/pilot/v2-P/mie-lab__trackintel-344/runs/pilot-mie-lab__trackintel-344-87a18c5630/logs/agent1/agent1-8.log","tree_digest":"f5d56e871bd6adddd7583ea19c3b20653c9f037f1338ba8074d46f20f748fa6f","tree_download_s":16.969020624877885,"started_at":"2026-10-03T20:27:15.883420Z","duration_s":5.687026,"timed_out":false,"image_before":"f096dfc6-c0a9-4b9e-9af1-37ee188af0b0","image_after":"436876c9-f601-4583-9b76-ed2bad61e874","junit":{"passed":[],"failed":["tests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints","tests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints_error"],"errors":[],"skipped":[],"collection_errors":[],"failure_text":{"tests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints":"AssertionError: assert np.False_\n +  where np.False_ = all()\n +    where all = user_id      ... dtype: object == user_id      ... dtype: object\n      \n      Full diff:\n        user_id                                0\n        started_at     1971-01-01 00:00:00+00:00\n        finished_at    1971-01-02 05:00:00+00:00\n        geom              POINT (8.5067847 47.4)\n      - location_id                            1...\n      \n      ...Full output truncated (4 lines hidden), use '-vv' to show.all\nself = <tests.preprocessing.test_staypoints.TestMergeStaypoints object at 0x7fffd26ac3d0>\nexample_staypoints_merge = (    user_id                started_at  ...                  geom location_id\nid                                     ....0678 47.4)           4\n\n[8 rows x 5 columns], Empty GeoDataFrame\nColumns: [user_id, started_at, finished_at]\nIndex: [])\n\n    def test_merge_staypoints(self, example_staypoints_merge):\n        \"\"\"Test staypoint merging.\"\"\"\n        sp, tpls = example_staypoints_merge\n        # first test with empty tpls\n        merged_sp = sp.as_staypoints.merge_staypoints(tpls, agg={\"geom\": \"first\"})\n        merged_sp = merged_sp.reindex(columns=sp.columns)\n        assert len(merged_sp) == len(sp) - 3\n        # some staypoints stay the same (not merged)\n>       assert (merged_sp.loc[1] == sp.loc[1]).all()\nE       AssertionError: assert np.False_\nE        +  where np.False_ = all()\nE        +    where all = user_id      ... dtype: object == user_id      ... dtype: object\nE             \nE             Full diff:\nE               user_id                                0\nE               started_at     1971-01-01 00:00:00+00:00\nE               finished_at    1971-01-02 05:00:00+00:00\nE               geom              POINT (8.5067847 47.4)\nE             - location_id                            1...\nE             \nE             ...Full output truncated (4 lines hidden), use '-vv' to show.all\n\ntests/preprocessing/test_staypoints.py:406: AssertionError","tests/preprocessing/test_staypoints.py::TestMergeStaypoints::test_merge_staypoints_error":"[...]python3.10/site-packages/geopandas/geodataframe.py:1891: in __getitem__\n    result = super().__getitem__(key)\n/usr/local/lib/python3.10/site-packages/pandas/core/frame.py:4119: in __getitem__\n    indexer = self.columns._get_indexer_strict(key, \"columns\")[1]\n/usr/local/lib/python3.10/site-packages/pandas/core/indexes/base.py:6212: in _get_indexer_strict\n    self._raise_if_missing(keyarr, indexer, axis_name)\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\nself = Index(['id', 'user_id', 'started_at', 'finished_at', 'geom', 'type',\n       'next_type', 'index_temp'],\n      dtype='object')\nkey = Index(['user_id', 'started_at', 'location_id'], dtype='object')\nindexer = array([ 1,  2, -1]), axis_name = 'columns'\n\n    def _raise_if_missing(self, key, indexer, axis_name: str_t) -> None:\n        \"\"\"\n        Check that indexer can be used to return a result.\n    \n        e.g. at least one element was found,\n        unless the list of keys was actually empty.\n    \n        Parameters\n        ----------\n        key : list-like\n            Targeted labels (only used to show correct error message).\n        indexer: array-like of booleans\n            Indices corresponding to the key,\n            (with -1 indicating not found).\n        axis_name : str\n    \n        Raises\n        ------\n        KeyError\n            If at least one key was requested but none was found.\n        \"\"\"\n        if len(key) == 0:\n            return\n    \n        # Count missing values\n        missing_mask = indexer < 0\n        nmissing = missing_mask.sum()\n    \n        if nmissing:\n            if nmissing == len(indexer):\n                raise KeyError(f\"None of [{key}] are in the [{axis_name}]\")\n    \n            not_found = list(ensure_index(key)[missing_mask.nonzero()[0]].unique())\n>           raise KeyError(f\"{not_found} not in index\")\nE           KeyError: \"['location_id'] not in index\"\n\n/usr/local/lib/python3.10/site-packages/pandas/core/indexes/base.py:6264: KeyError"}},"diff":null,"patch_sha256":null,"dropped_paths":[],"snapshot_sha":null}
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{"receipt_id":"agent1-10","seq":10,"branch_id":"agent1","kind":"diff","cmd":"compute patch in executor staging agent1-60a2c67a3d8a459da05855c45da5352e: /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 c08bcda4869454dc0b99160adfa2b5937bde5f77","path":null,"exit_code":0,"stdout_tail":"diff --git a/trackintel/io/file.py b/trackintel/io/file.py\nindex f444527..44df4d5 100644\n--- a/trackintel/io/file.py\n+++ b/trackintel/io/file.py\n@@ -116,10 +116,21 @@ def write_positionfixes_csv(positionfixes, filename, *args, **kwargs):\n     filename : str\n         The file to write to.\n \n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n     Notes\n     -----\n     \"longitude\" and \"latitude\" is extracted from the geometry column and the orignal\n     geometry column is dropped.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_positionfixes_csv(positionfixes, 'data.csv')\n+    >>> trackintel.write_positionfixes_csv(positionfixes, 'data.csv', sep=';')\n     \"\"\"\n     gdf = positionfixes.copy()\n     gdf[\"longitude\"] = positionfixes.geometry.apply(lambda p: p.coords[0][0])\n@@ -219,6 +230,17 @@ def write_triplegs_csv(triplegs, filename, *args, **kwargs):\n \n     filename : str\n         The file to write to.\n+\n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_triplegs_csv(triplegs, 'data.csv')\n+    >>> trackintel.write_triplegs_csv(triplegs, 'data.csv', sep='|')\n     \"\"\"\n     geo_col_name = triplegs.geometry.name\n     df = pd.DataFrame(triplegs, copy=True)\n@@ -317,6 +339,17 @@ def write_staypoints_csv(staypoints, filename, *args, **kwargs):\n \n     filename : str\n         The file to write to.\n+\n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_staypoints_csv(staypoints, 'data.csv')\n+    >>> trackintel.write_staypoints_csv(staypoints, 'data.csv', sep='\\t')\n     \"\"\"\n     geo_col_name = staypoints.geometry.name\n     df = pd.DataFrame(staypoints, copy=True)\n@@ -404,6 +437,17 @@ def write_locations_csv(locations, filename, *args, **kwargs):\n \n     filename : str\n         The file to write to.\n+\n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_locations_csv(locations, 'data.csv')\n+    >>> trackintel.write_locations_csv(locations, 'data.csv', sep=',', index=False)\n     \"\"\"\n     df = pd.DataFrame(locations, copy=True)\n     df[\"center\"] = locations[\"center\"].apply(wkt.dumps)\n@@ -502,6 +546,17 @@ def write_trips_csv(trips, filename, *args, **kwargs):\n \n     filename : str\n         The file to write to.\n+\n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_trips_csv(trips, 'data.csv')\n+    >>> trackintel.write_trips_csv(trips, 'data.csv', header=False)\n     \"\"\"\n     df = trips.copy()\n     if isinstance(df, GeoDataFrame):\n@@ -571,6 +626,17 @@ def write_tours_csv(tours, filename, *args, **kwargs):\n \n     filename : str\n         The file to write to.\n+\n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_tours_csv(tours, 'data.csv')\n+    >>> trackintel.write_tours_csv(tours, 'data.csv', columns=['user_id', 'started_at'])\n     \"\"\"\n     tours.to_csv(filename, index=True, *args, **kwargs)\n \n","stderr_tail":"","stdout_sha256":"1ccf77084f5cc30ae5e8ac390c5d40f0272c8a925898855e0dd82f059c83ac7d","log_path":null,"tree_digest":"f5d56e871bd6adddd7583ea19c3b20653c9f037f1338ba8074d46f20f748fa6f","tree_download_s":2.7961108749732375,"started_at":"2026-10-03T20:28:02.147045Z","duration_s":0.0716027501039207,"timed_out":false,"image_before":"5f8514f1-9ed0-43be-a01b-122fea88ee21","image_after":"5f8514f1-9ed0-43be-a01b-122fea88ee21","junit":null,"diff":{"files":[{"path":"trackintel/io/file.py","added":66,"deleted":0,"category":"source","status":"modified"}],"patch_sha256":"1ccf77084f5cc30ae5e8ac390c5d40f0272c8a925898855e0dd82f059c83ac7d","patch_path":"~/dev/nebius-hackathon/pilot/v2-P/mie-lab__trackintel-344/runs/pilot-mie-lab__trackintel-344-87a18c5630/artifacts/agent1/agent1-10.patch"},"patch_sha256":"1ccf77084f5cc30ae5e8ac390c5d40f0272c8a925898855e0dd82f059c83ac7d","dropped_paths":[],"snapshot_sha":"c08bcda4869454dc0b99160adfa2b5937bde5f77"}
{"receipt_id":"agent1-11","seq":11,"branch_id":"agent1","kind":"diff","cmd":"compute patch in executor staging agent1-a727fc0e3952484280f894bf50f3603c: /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 c08bcda4869454dc0b99160adfa2b5937bde5f77","path":null,"exit_code":0,"stdout_tail":"diff --git a/trackintel/io/file.py b/trackintel/io/file.py\nindex f444527..44df4d5 100644\n--- a/trackintel/io/file.py\n+++ b/trackintel/io/file.py\n@@ -116,10 +116,21 @@ def write_positionfixes_csv(positionfixes, filename, *args, **kwargs):\n     filename : str\n         The file to write to.\n \n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n     Notes\n     -----\n     \"longitude\" and \"latitude\" is extracted from the geometry column and the orignal\n     geometry column is dropped.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_positionfixes_csv(positionfixes, 'data.csv')\n+    >>> trackintel.write_positionfixes_csv(positionfixes, 'data.csv', sep=';')\n     \"\"\"\n     gdf = positionfixes.copy()\n     gdf[\"longitude\"] = positionfixes.geometry.apply(lambda p: p.coords[0][0])\n@@ -219,6 +230,17 @@ def write_triplegs_csv(triplegs, filename, *args, **kwargs):\n \n     filename : str\n         The file to write to.\n+\n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_triplegs_csv(triplegs, 'data.csv')\n+    >>> trackintel.write_triplegs_csv(triplegs, 'data.csv', sep='|')\n     \"\"\"\n     geo_col_name = triplegs.geometry.name\n     df = pd.DataFrame(triplegs, copy=True)\n@@ -317,6 +339,17 @@ def write_staypoints_csv(staypoints, filename, *args, **kwargs):\n \n     filename : str\n         The file to write to.\n+\n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_staypoints_csv(staypoints, 'data.csv')\n+    >>> trackintel.write_staypoints_csv(staypoints, 'data.csv', sep='\\t')\n     \"\"\"\n     geo_col_name = staypoints.geometry.name\n     df = pd.DataFrame(staypoints, copy=True)\n@@ -404,6 +437,17 @@ def write_locations_csv(locations, filename, *args, **kwargs):\n \n     filename : str\n         The file to write to.\n+\n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_locations_csv(locations, 'data.csv')\n+    >>> trackintel.write_locations_csv(locations, 'data.csv', sep=',', index=False)\n     \"\"\"\n     df = pd.DataFrame(locations, copy=True)\n     df[\"center\"] = locations[\"center\"].apply(wkt.dumps)\n@@ -502,6 +546,17 @@ def write_trips_csv(trips, filename, *args, **kwargs):\n \n     filename : str\n         The file to write to.\n+\n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_trips_csv(trips, 'data.csv')\n+    >>> trackintel.write_trips_csv(trips, 'data.csv', header=False)\n     \"\"\"\n     df = trips.copy()\n     if isinstance(df, GeoDataFrame):\n@@ -571,6 +626,17 @@ def write_tours_csv(tours, filename, *args, **kwargs):\n \n     filename : str\n         The file to write to.\n+\n+    *args : tuple\n+        Positional arguments to pass to pandas to_csv function.\n+\n+    **kwargs : dict\n+        Keyword arguments to pass to pandas to_csv function.\n+\n+    Examples\n+    --------\n+    >>> trackintel.write_tours_csv(tours, 'data.csv')\n+    >>> trackintel.write_tours_csv(tours, 'data.csv', columns=['user_id', 'started_at'])\n     \"\"\"\n     tours.to_csv(filename, index=True, *args, **kwargs)\n \n","stderr_tail":"","stdout_sha256":"1ccf77084f5cc30ae5e8ac390c5d40f0272c8a925898855e0dd82f059c83ac7d","log_path":null,"tree_digest":"f5d56e871bd6adddd7583ea19c3b20653c9f037f1338ba8074d46f20f748fa6f","tree_download_s":3.5143349580466747,"started_at":"2026-10-03T20:28:38.936878Z","duration_s":0.05647983402013779,"timed_out":false,"image_before":"5f8514f1-9ed0-43be-a01b-122fea88ee21","image_after":"5f8514f1-9ed0-43be-a01b-122fea88ee21","junit":null,"diff":{"files":[{"path":"trackintel/io/file.py","added":66,"deleted":0,"category":"source","status":"modified"}],"patch_sha256":"1ccf77084f5cc30ae5e8ac390c5d40f0272c8a925898855e0dd82f059c83ac7d","patch_path":"~/dev/nebius-hackathon/pilot/v2-P/mie-lab__trackintel-344/runs/pilot-mie-lab__trackintel-344-87a18c5630/artifacts/agent1/agent1-11.patch"},"patch_sha256":"1ccf77084f5cc30ae5e8ac390c5d40f0272c8a925898855e0dd82f059c83ac7d","dropped_paths":[],"snapshot_sha":"c08bcda4869454dc0b99160adfa2b5937bde5f77"}