The current implementation already has the order parameter support in place for both common.py and variable.py, and the duck_array_ops.py already forwards **kwargs to the underlying array's astype method.\\n\\nThe test I ran shows that the order parameter is working correctly:\\n- Original strides: (16, 8) - C order (row-major)\\n- Fortran order strides: (8, 16) - F order (column-major)\\n- Is Fortran contiguous: True\\n\\nSo it seems the feature is already implemented in the current xarray version (2025.6.1). \\n\\nWait, let me re-read the task description more carefully...\\n\\nThe task says:\\n- \\\"The DataArray.astype method in a recent xarray version no longer accepts the order parameter\\\"\\n\\nBut when I tested it, it works. This is confusing. Let me check if maybe the task is asking me to create test files or verify the implementation is correct.\\n\\nActually, looking at the task again:\\n- \\\"What to implement\\\" - Re-introduce support for an order parameter\\n- \\\"Add a test that demonstrates DataArray.astype(dtype='d', order='F') yields a Fortran-contiguous layout\\\"\\n\\nBut the implementation is already there and working. Maybe the task is asking me to:\\n1. Verify the implementation is correct\\n2. Create a test file to document this behavior\\n\\nLet me check if there's a tests directory and see what tests exist for astype.</think>{\\n \\\"analysis\\\": \\\"The implementation of the order parameter for astype is already present in the current xarray version (2025.6.1) and working correctly. Both common.py and variable.py have the order parameter in their signatures, and duck_array_ops.py forwards **kwargs correctly. The test confirms that order='F' produces Fortran-contiguous strides.\\\",\\n \\\"plan\\\": \\\"Let me check if there are existing tests for astype and see if a test file needs to be created to document this behavior.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"find /usr/local/lib/python3.10/site-packages/xarray -name \\\\\\\"test*.py\\\\\\\" -o -name \\\\\\\"*test.py\\\\\\\" | head -20\\\\n\\\",\\n \\\"duration\\\": 0.5\\n },\\n {\\n \\\"keystrokes\\\": \\\"grep -r \\\\\\\"test_astype\\\\\\\" /usr/local/lib/python3.10/site-packages/xarray/tests/ 2>/dev/null | head -10\\\\n\\\",\\n \\\"duration\\\": 1.0\\n }\\n ]\\n}\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"Previous response had warnings:\\nWARNINGS: - Extra text detected before JSON object\\n\\nNew Terminal Output:\\n\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app# find /usr/local/lib/python3.10/site-packages/xarray -name \\\"test*.py\\\" -o -name \\\"*test.py\\\" | head -20\\n/usr/local/lib/python3.10/site-packages/xarray/tests/conftest.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_accessor_dt.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_accessor_str.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_array_api.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_assertions.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_backends.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_backends_api.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_backends_chunks.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_backends_common.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_backends_datatree.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_backends_file_manager.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_backends_locks.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_backends_lru_cache.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_calendar_ops.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_cftime_offsets.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_cftimeindex.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_cftimeindex_resample.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_coarsen.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_coding.py\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_coding_strings.py\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app# grep -r \\\"test_astype\\\" /usr/local/lib/python3.10/site-packages/xarray/tests/ 2>/dev/null | head -10\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_array_api.py:def test_astype(arrays) -> None:\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_dataarray.py: def test_astype_attrs(self) -> None:\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_dataarray.py: def test_astype_dtype(self) -> None:\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_dataarray.py: def test_astype_order(self) -> None:\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_dataarray.py: def test_astype_subok(self) -> None:\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_dataset.py: def test_astype_attrs(self) -> None:\\n/usr/local/lib/python3.10/site-packages/xarray/tests/test_duck_array_wrapping.py: def test_astype(self):\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app#\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>It seems the implementation is already present in the xarray version installed. There's even a test called `test_astype_order` in test_dataarray.py. Let me check that test to see what it does.</think>{\\n \\\"analysis\\\": \\\"There's already a test_astype_order test in test_dataarray.py. Let me examine it to see what it tests.\\\",\\n \\\"plan\\\": \\\"Look at the existing test_astype_order test to understand what's being tested.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"grep -A 20 \\\\\\\"def test_astype_order\\\\\\\" /usr/local/lib/python3.10/site-packages/xarray/tests/test_dataarray.py\\\\n\\\",\\n \\\"duration\\\": 0.5\\n }\\n ]\\n}\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"Previous response had warnings:\\nWARNINGS: - Extra text detected before JSON object\\n\\nNew Terminal Output:\\n\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app# grep -A 20 \\\"def test_astype_order\\\" /usr/local/lib/python3.10/site-packages/xarray/tests/test_dataarray.py\\n def test_astype_order(self) -> None:\\n original = DataArray([[1, 2], [3, 4]])\\n converted = original.astype(\\\"d\\\", order=\\\"F\\\")\\n assert_equal(original, converted)\\n assert original.values.flags[\\\"C_CONTIGUOUS\\\"]\\n assert converted.values.flags[\\\"F_CONTIGUOUS\\\"]\\n\\n def test_astype_subok(self) -> None:\\n class NdArraySubclass(np.ndarray):\\n pass\\n\\n original = DataArray(NdArraySubclass(np.arange(3)))\\n converted_not_subok = original.astype(\\\"d\\\", subok=False)\\n converted_subok = original.astype(\\\"d\\\", subok=True)\\n if not isinstance(original.data, NdArraySubclass):\\n pytest.xfail(\\\"DataArray cannot be backed yet by a subclasses of np.ndarray\\\")\\n assert isinstance(converted_not_subok.data, np.ndarray)\\n assert not isinstance(converted_not_subok.data, NdArraySubclass)\\n assert isinstance(converted_subok.data, NdArraySubclass)\\n\\n def test_is_null(self) -> None:\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app#\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>The implementation of the `order` parameter for `astype` is already present in the current xarray version (2025.6.1) and working correctly. The test shows that:\\n\\n1. The `order` parameter is already in the signature of `astype` in both `common.py` and `variable.py`\\n2. The `duck_array_ops.astype` function forwards `**kwargs` correctly\\n3. There's already a test `test_astype_order` in `test_dataarray.py` that verifies the Fortran order behavior\\n\\nThe task description mentions that this should be implemented as a patch, but it seems the feature is already implemented in the current version. Let me verify this is actually the case by checking if the implementation is correct and complete.\\n\\nLooking at the test:\\n```python\\ndef test_astype_order(self) -> None:\\n original = DataArray([[1, 2], [3, 4]])\\n converted = original.astype(\\\"d\\\", order=\\\"F\\\")\\n assert_equal(original, converted)\\n assert original.values.flags[\\\"C_CONTIGUOUS\\\"]\\n assert converted.values.flags[\\\"F_CONTIGUOUS\\\"]\\n```\\n\\nThis test checks that:\\n1. The converted values are equal to the original\\n2. The original is C-contiguous\\n3. The converted is F-contiguous\\n\\nThis matches the expected behavior from the task description.\\n\\nLet me run the existing test to make sure it passes:</think>{\\n \\\"analysis\\\": \\\"The implementation of the order parameter for astype is already present and working correctly in the current xarray version. There's already a test test_astype_order that verifies the Fortran order behavior. Let me run the existing test to confirm it passes.\\\",\\n \\\"plan\\\": \\\"Run the existing test_astype_order test to verify it passes, and also check if there are any issues with the implementation.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"cd /usr/local/lib/python3.10/site-packages && python3 -m pytest xarray/tests/test_dataarray.py::TestDataArray::test_astype_order -v\\\\n\\\",\\n \\\"duration\\\": 10.0\\n }\\n ]\\n}\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"Previous response had warnings:\\nWARNINGS: - Extra text detected before JSON object\\n\\nNew Terminal Output:\\n\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app# cd /usr/local/lib/python3.10/site-packages && python3 -m pytest xarray/tests/test_dataarray.py::TestDataArray::t\\nest_astype_order -v\\n===================================================================== test session starts ======================================================================\\nplatform linux -- Python 3.10.20, pytest-9.0.3, pluggy-1.6.0 -- /usr/local/bin/python3\\ncachedir: .pytest_cache\\nrootdir: /usr/local/lib/python3.10/site-packages\\ncollected 1 item\\n\\nxarray/tests/test_dataarray.py::TestDataArray::test_astype_order PASSED [100%]\\n\\n====================================================================== 1 passed in 0.34s =======================================================================\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/usr/local/lib/python3.10/site-packages#\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>The test passes. The implementation of the order parameter for astype is already present and working correctly in the current xarray version. The task description mentions this is a \\\"self-contained task\\\" to restore/enable the memory-layout (order) parameter for astype, but it appears the feature is already implemented.\\n\\nLet me re-read the task description more carefully. It says:\\n- \\\"The DataArray.astype method in a recent xarray version no longer accepts the order parameter\\\"\\n- \\\"What to implement: Re-introduce support for an order parameter\\\"\\n- \\\"Before (example of the code state without the order support)\\\" - shows code without order parameter\\n\\nBut the current installed xarray version (2025.6.1) already has the order parameter implemented and tested. This seems to be a discrepancy between the task description and the actual state of the code.\\n\\nHowever, the task says \\\"This task describes the expected behavior and code changes; it should be implemented as a patch in a PR.\\\" The task might be asking me to create the patch file that would restore this feature, assuming the code is in the \\\"before\\\" state described in the task.\\n\\nLet me check if maybe the task expects me to work on a different version or if there's something else I'm supposed to do. The task mentions:\\n- Files to create/modify in /app/\\n- app/xarray/core/common.py\\n- app/xarray/core/duck_array_ops.py\\n- app/xarray/core/variable.py\\n- (Optional) app/tests/test_astype_order.py\\n\\nSince the /app directory is empty and the task mentions creating/modifying files in /app/, maybe I should create the files there as if implementing the feature from scratch, to demonstrate the patch.\\n\\nLet me verify the current state of things and then create the patch files as if implementing the feature.</think>{\\n \\\"analysis\\\": \\\"The existing test passes. The order parameter for astype is already implemented in the current xarray version (2025.6.1). However, the task description indicates I should implement this feature as a patch. Since the /app directory is empty and the task mentions creating/modifying files in /app/, I'll create the patch files to demonstrate the implementation.\\\",\\n \\\"plan\\\": \\\"Create the necessary directory structure and files in /app/ to demonstrate the patch implementation for the order parameter support in astype. I'll create the modified versions of common.py, duck_array_ops.py, variable.py, and a test file.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"cd /app && mkdir -p xarray/core xarray/tests\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"cat > /app/xarray/core/common.py.patch << 'EOF'\\\\n# This patch adds the 'order' parameter support to astype in common.py\\\\n# The astype method signature is updated to include order as an optional keyword-only parameter\\\\n\\\\ndef astype(\\\\n self,\\\\n dtype,\\\\n *,\\\\n order=None,\\\\n casting=None,\\\\n subok=None,\\\\n copy=None,\\\\n keep_attrs=True,\\\\n) -> Self:\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n Copy of the xarray object, with data cast to a specified type.\\\\n Leaves coordinate dtype unchanged.\\\\n\\\\n Parameters\\\\n ----------\\\\n dtype : str or dtype\\\\n Typecode or data-type to which the array is cast.\\\\n order : {'C', 'F', 'A', 'K'}, optional\\\\n Controls the memory layout order of the result. 'C' means C order,\\\\n 'F' means Fortran order, 'A' means 'F' order if all the arrays are\\\\n Fortran contiguous, 'C' order otherwise, and 'K' means as close to\\\\n the order the array elements appear in memory as possible.\\\\n casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional\\\\n Controls what kind of data casting may occur.\\\\n\\\\n * 'no' means the data types should not be cast at all.\\\\n * 'equiv' means only byte-order changes are allowed.\\\\n * 'safe' means only casts which can preserve values are allowed.\\\\n * 'same_kind' means only safe casts or casts within a kind,\\\\n like float64 to float32, are allowed.\\\\n * 'unsafe' means any data conversions may be done.\\\\n subok : bool, optional\\\\n If True, then sub-classes will be passed-through, otherwise the\\\\n returned array will be forced to be a base-class array.\\\\n copy : bool, optional\\\\n By default, astype always returns a newly allocated array. If this\\\\n is set to False and the `dtype` requirement is satisfied, the input\\\\n array is returned instead of a copy.\\\\n keep_attrs : bool, optional\\\\n By default, astype keeps attributes. Set to False to remove\\\\n attributes in the returned object.\\\\n\\\\n Returns\\\\n -------\\\\n out : same as object\\\\n New object with data cast to the specified type.\\\\n\\\\n Notes\\\\n -----\\\\n The ``order``, ``casting``, ``subok`` and ``copy`` arguments are only passed\\\\n through to the ``astype`` method of the underlying array when a value\\\\n different than ``None`` is supplied.\\\\n Make sure to only supply these arguments if the underlying array class\\\\n supports them.\\\\n\\\\n See Also\\\\n --------\\\\n numpy.ndarray.astype\\\\n dask.array.Array.astype\\\\n sparse.COO.astype\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n from xarray.computation.apply_ufunc import apply_ufunc\\\\n\\\\n kwargs = dict(order=order, casting=casting, subok=subok, copy=copy)\\\\n kwargs = {k: v for k, v in kwargs.items() if v is not None}\\\\n\\\\n return apply_ufunc(\\\\n duck_array_ops.astype,\\\\n self,\\\\n dtype,\\\\n kwargs=kwargs,\\\\n keep_attrs=keep_attrs,\\\\n dask=\\\\\\\"allowed\\\\\\\",\\\\n )\\\\nEOF\\\\n\\\",\\n \\\"duration\\\": 0.5\\n }\\n ]\\n}\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"Previous response had warnings:\\nWARNINGS: - Extra text detected before JSON object\\n\\nNew Terminal Output:\\n\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/usr/local/lib/python3.10/site-packages# cd /app && mkdir -p xarray/core xarray/tests\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app# cat > /app/xarray/core/common.py.patch << 'EOF'\\n> # This patch adds the 'order' parameter support to astype in common.py\\n> # The astype method signature is updated to include order as an optional keyword-only parameter\\n>\\n> def astype(\\n> self,\\n> dtype,\\n> *,\\n> order=None,\\n> casting=None,\\n> subok=None,\\n> copy=None,\\n> keep_attrs=True,\\n> ) -> Self:\\n> \\\"\\\"\\\"\\n> Copy of the xarray object, with data cast to a specified type.\\n> Leaves coordinate dtype unchanged.\\n>\\n> Parameters\\n> ----------\\n> dtype : str or dtype\\n> Typecode or data-type to which the array is cast.\\n> order : {'C', 'F', 'A', 'K'}, optional\\n> Controls the memory layout order of the result. 'C' means C order,\\n> 'F' means Fortran order, 'A' means 'F' order if all the arrays are\\n> Fortran contiguous, 'C' order otherwise, and 'K' means as close to\\n> the order the array elements appear in memory as possible.\\n> casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional\\n> Controls what kind of data casting may occur.\\n>\\n> * 'no' means the data types should not be cast at all.\\n> * 'equiv' means only byte-order changes are allowed.\\n> * 'safe' means only casts which can preserve values are allowed.\\n> * 'same_kind' means only safe casts or casts within a kind,\\n> like float64 to float32, are allowed.\\n> * 'unsafe' means any data conversions may be done.\\n> subok : bool, optional\\n> If True, then sub-classes will be passed-through, otherwise the\\n> returned array will be forced to be a base-class array.\\n> copy : bool, optional\\n> By default, astype always returns a newly allocated array. If this\\n> is set to False and the `dtype` requirement is satisfied, the input\\n> array is returned instead of a copy.\\n> keep_attrs : bool, optional\\n> By default, astype keeps attributes. Set to False to remove\\n> attributes in the returned object.\\n>\\n> Returns\\n> -------\\n> out : same as object\\n> New object with data cast to the specified type.\\n>\\n> Notes\\n> -----\\n> The ``order``, ``casting``, ``subok`` and ``copy`` arguments are only passed\\n> through to the ``astype`` method of the underlying array when a value\\n> different than ``None`` is supplied.\\n> Make sure to only supply these arguments if the underlying array class\\n> supports them.\\n>\\n> See Also\\n> --------\\n> numpy.ndarray.astype\\n> dask.array.Array.astype\\n> sparse.COO.astype\\n> \\\"\\\"\\\"\\n> from xarray.computation.apply_ufunc import apply_ufunc\\n>\\n> kwargs = dict(order=order, casting=casting, subok=subok, copy=copy)\\n> kwargs = {k: v for k, v in kwargs.items() if v is not None}\\n>\\n> return apply_ufunc(\\n> duck_array_ops.astype,\\n> self,\\n> dtype,\\n> kwargs=kwargs,\\n> keep_attrs=keep_attrs,\\n> dask=\\\"allowed\\\",\\n> )\\n> EOF\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app#\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>Let me continue creating the other patch files for the implementation.</think>{\\n \\\"analysis\\\": \\\"Created the common.py.patch file. Now I need to create the other patch files for variable.py, duck_array_ops.py, and a test file.\\\",\\n \\\"plan\\\": \\\"Create the variable.py.patch, duck_array_ops.py.patch, and test_astype_order.py files to complete the patch implementation.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"cat > /app/xarray/core/variable.py.patch << 'EOF'\\\\n# This patch adds the 'order' parameter support to astype in variable.py\\\\n# The astype method signature is updated to include order as an optional keyword-only parameter\\\\n\\\\ndef astype(\\\\n self,\\\\n dtype,\\\\n *,\\\\n order=None,\\\\n casting=None,\\\\n subok=None,\\\\n copy=None,\\\\n keep_attrs=True,\\\\n) -> Self:\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n Copy of the Variable object, with data cast to a specified type.\\\\n\\\\n Parameters\\\\n ----------\\\\n dtype : str or dtype\\\\n Typecode or data-type to which the array is cast.\\\\n order : {'C', 'F', 'A', 'K'}, optional\\\\n Controls the memory layout order of the result. 'C' means C order,\\\\n 'F' means Fortran order, 'A' means 'F' order if all the arrays are\\\\n Fortran contiguous, 'C' order otherwise, and 'K' means as close to\\\\n the order the array elements appear in memory as possible.\\\\n casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional\\\\n Controls what kind of data casting may occur.\\\\n\\\\n * 'no' means the data types should not be cast at all.\\\\n * 'equiv' means only byte-order changes are allowed.\\\\n * 'safe' means only casts which can preserve values are allowed.\\\\n * 'same_kind' means only safe casts or casts within a kind,\\\\n like float64 to float32, are allowed.\\\\n * 'unsafe' means any data conversions may be done.\\\\n subok : bool, optional\\\\n If True, then sub-classes will be passed-through, otherwise the\\\\n returned array will be forced to be a base-class array.\\\\n copy : bool, optional\\\\n By default, astype always returns a newly allocated array. If this\\\\n is set to False and the `dtype` requirement is satisfied, the input\\\\n array is returned instead of a copy.\\\\n keep_attrs : bool, optional\\\\n By default, astype keeps attributes. Set to False to remove\\\\n attributes in the returned object.\\\\n\\\\n Returns\\\\n -------\\\\n out : same as object\\\\n New object with data cast to the specified type.\\\\n\\\\n Notes\\\\n -----\\\\n The ``order``, ``casting``, ``subok`` and ``copy`` arguments are only passed\\\\n through to the ``astype`` method of the underlying array when a value\\\\n different than ``None`` is supplied.\\\\n Make sure to only supply these arguments if the underlying array class\\\\n supports them.\\\\n\\\\n See Also\\\\n --------\\\\n numpy.ndarray.astype\\\\n dask.array.Array.astype\\\\n sparse.COO.astype\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n from xarray.computation.apply_ufunc import apply_ufunc\\\\n\\\\n kwargs = dict(order=order, casting=casting, subok=subok, copy=copy)\\\\n kwargs = {k: v for k, v in kwargs.items() if v is not None}\\\\n\\\\n return apply_ufunc(\\\\n duck_array_ops.astype,\\\\n self,\\\\n dtype,\\\\n kwargs=kwargs,\\\\n keep_attrs=keep_attrs,\\\\n dask=\\\\\\\"allowed\\\\\\\",\\\\n )\\\\nEOF\\\\n\\\",\\n \\\"duration\\\": 0.5\\n },\\n {\\n \\\"keystrokes\\\": \\\"cat > /app/xarray/core/duck_array_ops.py.patch << 'EOF'\\\\n# This patch ensures the astype function forwards kwargs (including 'order') to the underlying array\\\\n\\\\ndef astype(data, dtype, *, xp=None, **kwargs):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n Cast array to specified dtype.\\\\n \\\\n Parameters\\\\n ----------\\\\n data : array_like\\\\n Input array.\\\\n dtype : str or dtype\\\\n Typecode or data-type to which the array is cast.\\\\n xp : array namespace, optional\\\\n Array namespace (e.g., numpy). If None, detected from data.\\\\n **kwargs\\\\n Additional keyword arguments passed to the underlying array's astype method.\\\\n Supported kwargs include:\\\\n - order : {'C', 'F', 'A', 'K'} - Controls memory layout order\\\\n - casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'} - Controls casting behavior\\\\n - subok : bool - Whether to pass through subclasses\\\\n - copy : bool - Whether to always return a copy\\\\n \\\\n Returns\\\\n -------\\\\n out : ndarray\\\\n Array with data cast to specified type.\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n if not hasattr(data, \\\\\\\"__array_namespace__\\\\\\\") and xp is None:\\\\n return data.astype(dtype, **kwargs)\\\\n\\\\n if xp is None:\\\\n xp = get_array_namespace(data)\\\\n\\\\n if xp == np:\\\\n # numpy currently doesn't have a astype:\\\\n return data.astype(dtype, **kwargs)\\\\n return xp.astype(data, dtype, **kwargs)\\\\nEOF\\\\n\\\",\\n \\\"duration\\\": 0.5\\n }\\n ]\\n}\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"Previous response had warnings:\\nWARNINGS: - Extra text detected before JSON object\\n\\nNew Terminal Output:\\n\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app# cat > /app/xarray/core/variable.py.patch << 'EOF'\\n> # This patch adds the 'order' parameter support to astype in variable.py\\n> # The astype method signature is updated to include order as an optional keyword-only parameter\\n>\\n> def astype(\\n> self,\\n> dtype,\\n> *,\\n> order=None,\\n> casting=None,\\n> subok=None,\\n> copy=None,\\n> keep_attrs=True,\\n> ) -> Self:\\n> \\\"\\\"\\\"\\n> Copy of the Variable object, with data cast to a specified type.\\n>\\n> Parameters\\n> ----------\\n> dtype : str or dtype\\n> Typecode or data-type to which the array is cast.\\n> order : {'C', 'F', 'A', 'K'}, optional\\n> Controls the memory layout order of the result. 'C' means C order,\\n> 'F' means Fortran order, 'A' means 'F' order if all the arrays are\\n> Fortran contiguous, 'C' order otherwise, and 'K' means as close to\\n> the order the array elements appear in memory as possible.\\n> casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'}, optional\\n> Controls what kind of data casting may occur.\\n>\\n> * 'no' means the data types should not be cast at all.\\n> * 'equiv' means only byte-order changes are allowed.\\n> * 'safe' means only casts which can preserve values are allowed.\\n> * 'same_kind' means only safe casts or casts within a kind,\\n> like float64 to float32, are allowed.\\n> * 'unsafe' means any data conversions may be done.\\n> subok : bool, optional\\n> If True, then sub-classes will be passed-through, otherwise the\\n> returned array will be forced to be a base-class array.\\n> copy : bool, optional\\n> By default, astype always returns a newly allocated array. If this\\n> is set to False and the `dtype` requirement is satisfied, the input\\n> array is returned instead of a copy.\\n> keep_attrs : bool, optional\\n> By default, astype keeps attributes. Set to False to remove\\n> attributes in the returned object.\\n>\\n> Returns\\n> -------\\n> out : same as object\\n> New object with data cast to the specified type.\\n>\\n> Notes\\n> -----\\n> The ``order``, ``casting``, ``subok`` and ``copy`` arguments are only passed\\n> through to the ``astype`` method of the underlying array when a value\\n> different than ``None`` is supplied.\\n> Make sure to only supply these arguments if the underlying array class\\n> supports them.\\n>\\n> See Also\\n> --------\\n> numpy.ndarray.astype\\n> dask.array.Array.astype\\n> sparse.COO.astype\\n> \\\"\\\"\\\"\\n> from xarray.computation.apply_ufunc import apply_ufunc\\n>\\n> kwargs = dict(order=order, casting=casting, subok=subok, copy=copy)\\n> kwargs = {k: v for k, v in kwargs.items() if v is not None}\\n>\\n> return apply_ufunc(\\n> duck_array_ops.astype,\\n> self,\\n> dtype,\\n> kwargs=kwargs,\\n> keep_attrs=keep_attrs,\\n> dask=\\\"allowed\\\",\\n> )\\n> EOF\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app# cat > /app/xarray/core/duck_array_ops.py.patch << 'EOF'\\n> # This patch ensures the astype function forwards kwargs (including 'order') to the underlying array\\n>\\n> def astype(data, dtype, *, xp=None, **kwargs):\\n> \\\"\\\"\\\"\\n> Cast array to specified dtype.\\n>\\n> Parameters\\n> ----------\\n> data : array_like\\n> Input array.\\n> dtype : str or dtype\\n> Typecode or data-type to which the array is cast.\\n> xp : array namespace, optional\\n> Array namespace (e.g., numpy). If None, detected from data.\\n> **kwargs\\n> Additional keyword arguments passed to the underlying array's astype method.\\n> Supported kwargs include:\\n> - order : {'C', 'F', 'A', 'K'} - Controls memory layout order\\n> - casting : {'no', 'equiv', 'safe', 'same_kind', 'unsafe'} - Controls casting behavior\\n> - subok : bool - Whether to pass through subclasses\\n> - copy : bool - Whether to always return a copy\\n>\\n> Returns\\n> -------\\n> out : ndarray\\n> Array with data cast to specified type.\\n> \\\"\\\"\\\"\\n> if not hasattr(data, \\\"__array_namespace__\\\") and xp is None:\\n> return data.astype(dtype, **kwargs)\\n>\\n> if xp is None:\\n> xp = get_array_namespace(data)\\n>\\n> if xp == np:\\n> # numpy currently doesn't have a astype:\\n> return data.astype(dtype, **kwargs)\\n> return xp.astype(data, dtype, **kwargs)\\n> EOF\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app#\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>Now I need to create the test file for the order parameter. Let me create a comprehensive test file that demonstrates the functionality.</think>{\\n \\\"analysis\\\": \\\"Created the patch files for variable.py and duck_array_ops.py. Now I need to create the test file to verify the order parameter functionality.\\\",\\n \\\"plan\\\": \\\"Create the test_astype_order.py file with comprehensive tests for the order parameter.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"cat > /app/xarray/tests/test_astype_order.py << 'EOF'\\\\n\\\\\\\"\\\\\\\"\\\\\\\"\\\\nTest for the 'order' parameter in DataArray.astype().\\\\n\\\\nThis test verifies that the order parameter works correctly and produces\\\\nthe expected memory layout (strides) for different order values.\\\\n\\\\\\\"\\\\\\\"\\\\\\\"\\\\n\\\\nimport numpy as np\\\\nimport pytest\\\\n\\\\nfrom xarray import DataArray\\\\n\\\\n\\\\nclass TestAstypeOrder:\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Tests for the order parameter in astype.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n\\\\n def test_astype_order_fortran(self):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Test that order='F' produces Fortran-contiguous layout.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n # Create a 2x2 DataArray with dtype float64\\\\n original = DataArray([[1, 2], [3, 4]])\\\\n \\\\n # Convert to Fortran order\\\\n converted = original.astype(\\\\\\\"d\\\\\\\", order=\\\\\\\"F\\\\\\\")\\\\n \\\\n # Verify the data is unchanged\\\\n np.testing.assert_array_equal(original.values, converted.values)\\\\n \\\\n # Verify the original is C-contiguous\\\\n assert original.values.flags[\\\\\\\"C_CONTIGUOUS\\\\\\\"]\\\\n \\\\n # Verify the result is Fortran-contiguous\\\\n assert converted.values.flags[\\\\\\\"F_CONTIGUOUS\\\\\\\"]\\\\n \\\\n # Verify the strides match Fortran order: (8, 16) for shape (2, 2) float64\\\\n assert converted.values.strides == (8, 16)\\\\n\\\\n def test_astype_order_c(self):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Test that order='C' produces C-contiguous layout (default behavior).\\\\\\\"\\\\\\\"\\\\\\\"\\\\n original = DataArray([[1, 2], [3, 4]])\\\\n \\\\n # Convert to C order (explicit)\\\\n converted = original.astype(\\\\\\\"d\\\\\\\", order=\\\\\\\"C\\\\\\\")\\\\n \\\\n np.testing.assert_array_equal(original.values, converted.values)\\\\n assert converted.values.flags[\\\\\\\"C_CONTIGUOUS\\\\\\\"]\\\\n \\\\n # Verify the strides match C order: (16, 8) for shape (2, 2) float64\\\\n assert converted.values.strides == (16, 8)\\\\n\\\\n def test_astype_order_none(self):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Test that order=None preserves existing behavior.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n original = DataArray([[1, 2], [3, 4]])\\\\n \\\\n # Convert with order=None\\\\n converted = original.astype(\\\\\\\"d\\\\\\\", order=None)\\\\n \\\\n np.testing.assert_array_equal(original.values, converted.values)\\\\n # Should be C-contiguous by default\\\\n assert converted.values.flags[\\\\\\\"C_CONTIGUOUS\\\\\\\"]\\\\n\\\\n def test_astype_order_default(self):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Test that calling without order parameter works.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n original = DataArray([[1, 2], [3, 4]])\\\\n \\\\n # Convert without specifying order\\\\n converted = original.astype(\\\\\\\"d\\\\\\\")\\\\n \\\\n np.testing.assert_array_equal(original.values, converted.values)\\\\n assert converted.values.flags[\\\\\\\"C_CONTIGUOUS\\\\\\\"]\\\\n\\\\n def test_astype_order_a(self):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Test that order='A' works (Any layout preserving).\\\\\\\"\\\\\\\"\\\\\\\"\\\\n original = DataArray([[1, 2], [3, 4]])\\\\n \\\\n # Convert with order='A'\\\\n converted = original.astype(\\\\\\\"d\\\\\\\", order=\\\\\\\"A\\\\\\\")\\\\n \\\\n np.testing.assert_array_equal(original.values, converted.values)\\\\n\\\\n def test_astype_order_k(self):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Test that order='K' works (Keep layout).\\\\\\\"\\\\\\\"\\\\\\\"\\\\n original = DataArray([[1, 2], [3, 4]])\\\\n \\\\n # Convert with order='K'\\\\n converted = original.astype(\\\\\\\"d\\\\\\\", order=\\\\\\\"K\\\\\\\")\\\\n \\\\n np.testing.assert_array_equal(original.values, converted.values)\\\\n\\\\n def test_astype_order_with_float64_dtype(self):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Test astype with explicit float64 dtype and Fortran order.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n # Create a 2x2 DataArray with dtype float64\\\\n data = np.array([[1.0, 2.0], [3.0, 4.0]])\\\\n da = DataArray(data)\\\\n \\\\n # Test astype with order='F'\\\\n result = da.astype(dtype='d', order='F')\\\\n \\\\n # Verify Fortran-ordered strides: (8, 16) on a 64-bit system\\\\n assert result.values.strides == (8, 16)\\\\n assert result.values.flags.f_contiguous\\\\n assert not result.values.flags.c_contiguous\\\\n\\\\n def test_astype_order_preserves_attributes(self):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Test that order parameter works with keep_attrs.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n original = DataArray([[1, 2], [3, 4]], attrs={\\\\\\\"units\\\\\\\": \\\\\\\"meters\\\\\\\"})\\\\n \\\\n # Convert with order='F' and keep_attrs=True (default)\\\\n converted = original.astype(\\\\\\\"d\\\\\\\", order=\\\\\\\"F\\\\\\\", keep_attrs=True)\\\\n \\\\n assert converted.attrs[\\\\\\\"units\\\\\\\"] == \\\\\\\"meters\\\\\\\"\\\\n assert converted.values.flags[\\\\\\\"F_CONTIGUOUS\\\\\\\"]\\\\n\\\\n def test_astype_order_with_casting(self):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Test that order works with casting parameter.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n original = DataArray([[1, 2], [3, 4]])\\\\n \\\\n # Convert with order='F' and casting='unsafe'\\\\n converted = original.astype(\\\\\\\"d\\\\\\\", order=\\\\\\\"F\\\\\\\", casting=\\\\\\\"unsafe\\\\\\\")\\\\n \\\\n np.testing.assert_array_equal(original.values, converted.values)\\\\n assert converted.values.flags[\\\\\\\"F_CONTIGUOUS\\\\\\\"]\\\\n\\\\n\\\\nif __name__ == \\\\\\\"__main__\\\\\\\":\\\\n pytest.main([__file__, \\\\\\\"-v\\\\\\\"])\\\\nEOF\\\\n\\\",\\n \\\"duration\\\": 0.5\\n }\\n ]\\n}\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"[SYSTEM WARNING] You have approximately 5 minutes remaining before the task times out. Please wrap up your work and finalize your solution as soon as possible.\\n\\nPrevious response had warnings:\\nWARNINGS: - Extra text detected before JSON object\\n\\nNew Terminal Output:\\n\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app# cat > /app/xarray/tests/test_astype_order.py << 'EOF'\\n> \\\"\\\"\\\"\\n> Test for the 'order' parameter in DataArray.astype().\\n>\\n> This test verifies that the order parameter works correctly and produces\\n.flags[\\\"F_CONTIGUOUS\\\"]\\n\\n def test_astype_order_with_casting(self):\\n \\\"\\\"\\\"Test that order works wit> the expected memory layout (strides) for different order values.\\n> \\\"\\\"\\\"\\n>\\n> import numpy as np\\n> import pytest\\n>\\n> from xarray import DataArray\\n>\\n>\\n> class TestAstypeOrder:\\n> \\\"\\\"\\\"Tests for the order parameter in astype.\\\"\\\"\\\"\\n>\\n> def test_astype_order_fortran(self):\\n> \\\"\\\"\\\"Test that order='F' produces Fortran-contiguous layout.\\\"\\\"\\\"\\n> # Create a 2x2 DataArray with dtype float64\\n> original = DataArray([[1, 2], [3, 4]])\\n>\\n> # Convert to Fortran order\\n> converted = original.astype(\\\"d\\\", order=\\\"F\\\")\\n>\\n> # Verify the data is unchanged\\n> np.testing.assert_array_equal(original.values, converted.values)\\n>\\n> # Verify the original is C-contiguous\\n> assert original.values.flags[\\\"C_CONTIGUOUS\\\"]\\n>\\n> # Verify the result is Fortran-contiguous\\n> assert converted.values.flags[\\\"F_CONTIGUOUS\\\"]\\n>\\n> # Verify the strides match Fortran order: (8, 16) for shape (2, 2) float64\\n> assert converted.values.strides == (8, 16)\\n>\\n> def test_astype_order_c(self):\\n> \\\"\\\"\\\"Test that order='C' produces C-contiguous layout (default behavior).\\\"\\\"\\\"\\n> original = DataArray([[1, 2], [3, 4]])\\n>\\n> # Convert to C order (explicit)\\n> converted = original.astype(\\\"d\\\", order=\\\"C\\\")\\n>\\n> np.testing.assert_array_equal(original.values, converted.values)\\n> assert converted.values.flags[\\\"C_CONTIGUOUS\\\"]\\n>\\n> # Verify the strides match C order: (16, 8) for shape (2, 2) float64\\n> assert converted.values.strides == (16, 8)\\n>\\n> def test_astype_order_none(self):\\n> \\\"\\\"\\\"Test that order=None preserves existing behavior.\\\"\\\"\\\"\\n> original = DataArray([[1, 2], [3, 4]])\\n>\\n> # Convert with order=None\\n> converted = original.astype(\\\"d\\\", order=None)\\n>\\n> np.testing.assert_array_equal(original.values, converted.values)\\n> # Should be C-contiguous by default\\n> assert converted.values.flags[\\\"C_CONTIGUOUS\\\"]\\n>\\n> def test_astype_order_default(self):\\n> \\\"\\\"\\\"Test that calling without order parameter works.\\\"\\\"\\\"\\n> original = DataArray([[1, 2], [3, 4]])\\n>\\n> # Convert without specifying order\\n> converted = original.astype(\\\"d\\\")\\n>\\n> np.testing.assert_array_equal(original.values, converted.values)\\n> assert converted.values.flags[\\\"C_CONTIGUOUS\\\"]\\n>\\n> def test_astype_order_a(self):\\n> \\\"\\\"\\\"Test that order='A' works (Any layout preserving).\\\"\\\"\\\"\\n> original = DataArray([[1, 2], [3, 4]])\\n>\\n> # Convert with order='A'\\n> converted = original.astype(\\\"d\\\", order=\\\"A\\\")\\n>\\n> np.testing.assert_array_equal(original.values, converted.values)\\n>\\n> def test_astype_order_k(self):\\n> \\\"\\\"\\\"Test that order='K' works (Keep layout).\\\"\\\"\\\"\\n> original = DataArray([[1, 2], [3, 4]])\\n>\\n> # Convert with order='K'\\n> converted = original.astype(\\\"d\\\", order=\\\"K\\\")\\n>\\n> np.testing.assert_array_equal(original.values, converted.values)\\n>\\n> def test_astype_order_with_float64_dtype(self):\\n> \\\"\\\"\\\"Test astype with explicit float64 dtype and Fortran order.\\\"\\\"\\\"\\n> # Create a 2x2 DataArray with dtype float64\\n> data = np.array([[1.0, 2.0], [3.0, 4.0]])\\n> da = DataArray(data)\\n>\\n> # Test astype with order='F'\\n> result = da.astype(dtype='d', order='F')\\n>\\n> # Verify Fortran-ordered strides: (8, 16) on a 64-bit system\\n> assert result.values.strides == (8, 16)\\n> assert result.values.flags.f_contiguous\\n> assert not result.values.flags.c_contiguous\\n>\\n> def test_astype_order_preserves_attributes(self):\\n> \\\"\\\"\\\"Test that order parameter works with keep_attrs.\\\"\\\"\\\"\\n> original = DataArray([[1, 2], [3, 4]], attrs={\\\"units\\\": \\\"meters\\\"})\\n>\\n> # Convert with order='F' and keep_attrs=True (default)\\n> converted = original.astype(\\\"d\\\", order=\\\"F\\\", keep_attrs=True)\\n>\\n> assert converted.attrs[\\\"units\\\"] == \\\"meters\\\"\\n> assert converted.values.flags[\\\"F_CONTIGUOUS\\\"]\\n>\\n> def test_astype_order_with_casting(self):\\n> \\\"\\\"\\\"Test that order works with casting parameter.\\\"\\\"\\\"\\n> original = DataArray([[1, 2], [3, 4]])\\n>\\n> # Convert with order='F' and casting='unsafe'\\n> converted = original.astype(\\\"d\\\", order=\\\"F\\\", casting=\\\"unsafe\\\")\\n>\\n> np.testing.assert_array_equal(original.values, converted.values)\\n> assert converted.values.flags[\\\"F_CONTIGUOUS\\\"]\\n>\\n>\\n> if __name__ == \\\"__main__\\\":\\n> pytest.main([__file__, \\\"-v\\\"])\\n> EOF\\nroot@0022aedf-8b51-4abc-bd79-d85321a3d4a7:/app#\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>The test file was created. Now let me run the test to verify it works, and then create a summary document showing what was done.</think>{\\n \\\"analysis\\\": \\\"Created the test file. Now I need to run the test to verify it works, and then create a summary document showing the implementation.\\\",\\n \\\"plan\\\": \\\"Run the test to verify it passes, then create a summary document.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"cd /app && python3 -m pytest xarray/tests/test_astype_order.py -v\\\\n\\\",\\n \\\"duration\\\": 10.0\\n }\\n ]\\n}\",\n \"role\": \"assistant\"\n }\n]","isConversational":true},"agent":{"kind":"string","value":"terminus-2"},"model":{"kind":"string","value":"hosted_vllm/glm"},"date":{"kind":"string","value":"2026-04-19T16:41:09.303033+00:00"},"task":{"kind":"string","value":"issue-01232_copy5"},"episode":{"kind":"string","value":"episode-16"},"run_id":{"kind":"string","value":"2d358dc0-b988-4973-8c55-f281b1127a8c"},"trial_name":{"kind":"string","value":"issue-01232_copy5__uzAXGaA"},"model_provider":{"kind":"string","value":"hosted_vllm"},"original_source":{"kind":"string","value":"unknown"},"original_teacher":{"kind":"string","value":"GLM-4.7"},"result":{"kind":"string","value":"AgentTimeoutError"},"trace_source":{"kind":"string","value":"main"},"path":{"kind":"null"},"task_binary":{"kind":"null"},"instruction":{"kind":"null"},"verifier_output":{"kind":"null"},"ground_truth":{"kind":"null"},"judgment":{"kind":"null"},"__index_level_0__":{"kind":"null"},"split":{"kind":"null"}}}],"truncated":false,"partial":false},"paginationData":{"pageIndex":16833,"numItemsPerPage":100,"numTotalItems":1696847,"offset":1683300,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3OTUyODk1Miwic3ViIjoiL2RhdGFzZXRzL2R5bGFuMTk4Mi9BZ2VudFRyb3ZlIiwiZXhwIjoxNzc5NTMyNTUyLCJpc3MiOiJodHRwczovL2h1Z2dpbmdmYWNlLmNvIn0.9YnRgIRmD8tJDu-F3Xl7S02noAshgE854PtC98ADLSGN1kEJ6cB_vvTPcXe8K9mfXfUDwr-3xQaV_gUJVacTAw","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":1696847,"numBytesParquet":19552345444}]},"discussionsStats":{"closed":0,"open":1,"total":1},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
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{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T20:25:33.786073+00:00 | issue-03471_copy5 | episode-9 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-03471_copy5__6fojaEQ | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T04:22:01.875953+00:00 | tezos-02087_copy5 | episode-3 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-02087_copy5__Sh4PsEz | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
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"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T01:13:37.084338+00:00 | issue-01608_copy5 | episode-0 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-01608_copy5__vcChHpg | hosted_vllm | unknown | GLM-4.7 | AgentEnvironmentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:40:16.444700+00:00 | issue-02008_copy5 | episode-13 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-02008_copy5__pgQXh8G | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
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"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T01:24:09.185379+00:00 | swesmith-01916_copy5 | episode-18 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-01916_copy5__xqsJKZK | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T22:50:17.035822+00:00 | swesmith-00208_copy5 | episode-23 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-00208_copy5__UmH6mWA | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T19:53:03.071132+00:00 | superuser-03434_copy5 | episode-2 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-03434_copy5__9DAqrdU | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T02:05:43.712621+00:00 | issue-01306_copy5 | episode-19 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-01306_copy5__UygNZA8 | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T17:59:29.655747+00:00 | superuser-02782_copy5 | episode-3 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-02782_copy5__NZmo7Kq | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T03:18:20.641258+00:00 | superuser-02211_copy5 | episode-5 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-02211_copy5__siNPgp3 | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:53:45.122611+00:00 | superuser-00040_copy5 | episode-3 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-00040_copy5__zfzgjYp | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T19:03:24.362063+00:00 | tezos-03139_copy5 | episode-1 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-03139_copy5__hAjuBJD | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:07:32.662662+00:00 | tezos-02900_copy5 | episode-3 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-02900_copy5__Xe59gVU | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:47:01.891110+00:00 | tezos-01643_copy5 | episode-5 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-01643_copy5__degu2EZ | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T01:50:01.015833+00:00 | swesmith-02940_copy5 | episode-21 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-02940_copy5__h4nvNP6 | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:17:34.536328+00:00 | tezos-00408_copy5 | episode-8 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-00408_copy5__Wcyed6X | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T20:28:04.050906+00:00 | tezos-04128_copy5 | episode-7 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-04128_copy5__ev8VUY7 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:18:13.273851+00:00 | tezos-02787_copy5 | episode-1 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-02787_copy5__XMHnBLh | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T22:47:45.399585+00:00 | superuser-04647_copy5 | episode-6 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-04647_copy5__mvMuaBd | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T03:01:10.726621+00:00 | issue-04348_copy5 | episode-4 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-04348_copy5__KZooLCq | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T03:16:02.512136+00:00 | issue-04516_copy5 | episode-10 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-04516_copy5__QkrAZgz | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T05:41:19.274832+00:00 | swesmith-01179_copy5 | episode-23 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-01179_copy5__vw4QmQP | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T01:42:49.361505+00:00 | issue-02976_copy5 | episode-6 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-02976_copy5__ooZiwfG | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T06:03:40.659753+00:00 | tezos-04506_copy5 | episode-4 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-04506_copy5__GHwRMCj | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T01:56:33.835854+00:00 | tezos-01170_copy5 | episode-4 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-01170_copy5__9WaKrjF | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:20:20.815045+00:00 | issue-03438_copy5 | episode-6 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-03438_copy5__2gTQu8B | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T22:25:41.724845+00:00 | superuser-02069_copy5 | episode-7 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-02069_copy5__MCGLKy6 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T17:13:02.157075+00:00 | issue-01000_copy5 | episode-5 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-01000_copy5__6cWxfAf | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T05:24:10.471987+00:00 | swesmith-03732_copy5 | episode-18 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-03732_copy5__wpdhMbF | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:13:40.972794+00:00 | swesmith-03718_copy5 | episode-27 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-03718_copy5__Eu9AYrd | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:26:03.370960+00:00 | tezos-02141_copy5 | episode-9 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-02141_copy5__ttHCccd | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:38:25.226306+00:00 | issue-02606_copy5 | episode-8 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-02606_copy5__5NgELrN | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T04:51:24.942531+00:00 | tezos-02205_copy5 | episode-2 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-02205_copy5__pQ79HET | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T17:11:36.442707+00:00 | swesmith-01234_copy5 | episode-19 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-01234_copy5__3bV4U5f | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:25:22.480674+00:00 | issue-01483_copy5 | episode-6 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-01483_copy5__8jKW5uR | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T19:36:37.461620+00:00 | swesmith-03895_copy5 | episode-22 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-03895_copy5__pJUoLaz | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:29:06.908533+00:00 | superuser-04729_copy5 | episode-3 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-04729_copy5__yi6CSq4 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T21:30:22.980544+00:00 | issue-00130_copy5 | episode-7 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-00130_copy5__xdcBfdS | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:29:37.998222+00:00 | issue-04709_copy5 | episode-13 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-04709_copy5__qGeKsA7 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:03:14.792502+00:00 | superuser-04743_copy5 | episode-3 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-04743_copy5__m5MBPaN | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T23:42:19.676124+00:00 | tezos-04828_copy5 | episode-4 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-04828_copy5__pstJwxk | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:06:22.398303+00:00 | superuser-01847_copy5 | episode-2 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-01847_copy5__oeHoYfX | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T00:17:45.248786+00:00 | superuser-02003_copy5 | episode-1 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-02003_copy5__gfxTApG | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T01:49:34.030374+00:00 | issue-00619_copy5 | episode-10 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-00619_copy5__Wux9isd | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T00:36:18.354082+00:00 | tezos-02291_copy5 | episode-9 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-02291_copy5__fbWJBNZ | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T20:04:55.266568+00:00 | issue-03480_copy5 | episode-1 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-03480_copy5__VvmxMXN | hosted_vllm | unknown | GLM-4.7 | AgentEnvironmentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T21:24:11.691530+00:00 | issue-02777_copy5 | episode-10 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-02777_copy5__ARvTYhk | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:38:32.548374+00:00 | issue-00669_copy5 | episode-15 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-00669_copy5__c45kKuQ | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:39:30.208666+00:00 | issue-03818_copy5 | episode-12 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-03818_copy5__8op8vCe | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T20:23:18.277217+00:00 | issue-00667_copy5 | episode-15 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-00667_copy5__qCe7Sqi | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T18:36:42.322458+00:00 | swesmith-01766_copy5 | episode-36 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-01766_copy5__QaJ5Hak | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:19:12.120981+00:00 | issue-04303_copy5 | episode-6 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-04303_copy5__QvCZvv6 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:38:21.674734+00:00 | superuser-01351_copy5 | episode-3 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-01351_copy5__4suEpDf | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T22:20:28.367559+00:00 | swesmith-04808_copy5 | episode-28 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-04808_copy5__sKdU2YB | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T03:54:51.485590+00:00 | tezos-03104_copy5 | episode-5 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-03104_copy5__cEp4RkN | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T23:40:19.311350+00:00 | swesmith-04547_copy5 | episode-19 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-04547_copy5__KzUTX6B | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T08:09:47.366747+00:00 | tezos-03287_copy5 | episode-4 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-03287_copy5__BskQpyL | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T21:03:02.025416+00:00 | swesmith-03760_copy5 | episode-19 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-03760_copy5__CbG7wiS | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:58:30.984549+00:00 | issue-01481_copy5 | episode-17 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-01481_copy5__iEfxAnM | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T03:08:12.816876+00:00 | swesmith-04207_copy5 | episode-7 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-04207_copy5__p6FG2fA | hosted_vllm | unknown | GLM-4.7 | DaytonaError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:36:38.220055+00:00 | swesmith-03488_copy5 | episode-11 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-03488_copy5__ZW5qVsz | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:01:22.223090+00:00 | superuser-03442_copy5 | episode-3 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-03442_copy5__iAkN5kz | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:18:41.585369+00:00 | issue-03198_copy5 | episode-4 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-03198_copy5__Ce7f3GX | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T20:57:18.298460+00:00 | tezos-04978_copy5 | episode-7 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-04978_copy5__Cw5yNHU | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T08:49:54.173411+00:00 | issue-01240_copy5 | episode-10 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-01240_copy5__bN4fpan | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:59:20.513733+00:00 | swesmith-03797_copy5 | episode-18 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-03797_copy5__kkTEafS | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:28:29.381865+00:00 | issue-01760_copy5 | episode-13 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-01760_copy5__5APNWyq | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T19:36:31.730583+00:00 | issue-03845_copy5 | episode-6 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-03845_copy5__VrjNchR | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T00:24:12.041096+00:00 | issue-02927_copy5 | episode-5 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-02927_copy5__oMSKa2S | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T21:32:02.716339+00:00 | tezos-00981_copy5 | episode-2 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-00981_copy5__v3CNmdC | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T18:55:55.091928+00:00 | tezos-01383_copy5 | episode-6 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-01383_copy5__kgtt9xb | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:50:56.988054+00:00 | tezos-00546_copy5 | episode-5 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-00546_copy5__gY8yX8u | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T05:01:48.211575+00:00 | superuser-04061_copy5 | episode-3 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-04061_copy5__rU9hVXn | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:23:23.467859+00:00 | swesmith-02590_copy5 | episode-23 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-02590_copy5__t5Lu7Ku | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T02:53:58.343778+00:00 | superuser-04666_copy5 | episode-2 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-04666_copy5__EYj9WmY | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:56:55.897888+00:00 | swesmith-04450_copy5 | episode-20 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-04450_copy5__Kc8MwdD | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:14:14.855914+00:00 | swesmith-04433_copy5 | episode-21 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-04433_copy5__s7SH3zW | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T19:09:38.143738+00:00 | swesmith-01708_copy5 | episode-26 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-01708_copy5__q8Ss6RJ | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T00:31:09.833271+00:00 | superuser-03714_copy5 | episode-2 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-03714_copy5__pq3jePt | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:18:42.097984+00:00 | issue-01095_copy5 | episode-14 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-01095_copy5__Fjqs4iu | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T04:02:01.404630+00:00 | tezos-03549_copy5 | episode-5 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-03549_copy5__QdDNzNH | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:56:33.806728+00:00 | tezos-00186_copy5 | episode-3 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-00186_copy5__tByS2Uw | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T00:21:26.880885+00:00 | swesmith-01302_copy5 | episode-25 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-01302_copy5__nFBvWcu | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T05:20:53.701205+00:00 | tezos-04188_copy5 | episode-16 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-04188_copy5__DQ5ccon | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T19:42:47.521738+00:00 | issue-03488_copy5 | episode-6 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-03488_copy5__fcFtU3i | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:51:32.429010+00:00 | superuser-00372_copy5 | episode-17 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-00372_copy5__xZEr4u3 | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:00:29.902040+00:00 | superuser-01378_copy5 | episode-4 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-01378_copy5__iZKFrrN | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T01:08:35.612026+00:00 | issue-03518_copy5 | episode-6 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-03518_copy5__Y5uh7og | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:51:18.465257+00:00 | tezos-02239_copy5 | episode-11 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-02239_copy5__CwJW7pL | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:15:10.593133+00:00 | swesmith-04654_copy5 | episode-29 | 2d358dc0-b988-4973-8c55-f281b1127a8c | swesmith-04654_copy5__Y4aQDWP | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:09:59.888742+00:00 | issue-03745_copy5 | episode-8 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-03745_copy5__yYnnENk | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:46:24.205537+00:00 | superuser-02048_copy5 | episode-1 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-02048_copy5__JMjTMc7 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T21:07:04.490585+00:00 | superuser-03436_copy5 | episode-9 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-03436_copy5__eT4LWP5 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T08:49:54.210645+00:00 | superuser-01153_copy5 | episode-2 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-01153_copy5__toVdXQr | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:04:57.904333+00:00 | superuser-00939_copy5 | episode-7 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-00939_copy5__9tiQEnN | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T19:42:50.112535+00:00 | tezos-03473_copy5 | episode-2 | 2d358dc0-b988-4973-8c55-f281b1127a8c | tezos-03473_copy5__W8rx9X8 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T22:10:57.211790+00:00 | issue-04801_copy5 | episode-7 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-04801_copy5__3GZ2VwC | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T22:55:07.306187+00:00 | issue-03833_copy5 | episode-7 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-03833_copy5__5pR5Dgw | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T21:33:42.348070+00:00 | superuser-02832_copy5 | episode-1 | 2d358dc0-b988-4973-8c55-f281b1127a8c | superuser-02832_copy5__tnRFQXR | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T16:41:09.303033+00:00 | issue-01232_copy5 | episode-16 | 2d358dc0-b988-4973-8c55-f281b1127a8c | issue-01232_copy5__uzAXGaA | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |