h5py__h5py-2577

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  "error_message": "Traceback (most recent call last):\n  File \"/workspace/h5py/__init__.py\", line 25, in <module>\n    from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<stdin>\", line 1, in <module>\n  File \"/workspace/h5py/__init__.py\", line 29, in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
  "details": {
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/workspace/h5py/__init__.py\", line 25, in <module>\n    from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<stdin>\", line 1, in <module>\n  File \"/workspace/h5py/__init__.py\", line 29, in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
    "exit_code": 1
  }
}

{
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  "error_type": "CommandError",
  "error_message": "Traceback (most recent call last):\n  File \"/h5py/h5py/__init__.py\", line 25, in <module>\n    from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/h5py/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<stdin>\", line 1, in <module>\n  File \"/h5py/h5py/__init__.py\", line 29, in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
  "details": {
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/h5py/h5py/__init__.py\", line 25, in <module>\n    from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/h5py/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<stdin>\", line 1, in <module>\n  File \"/h5py/h5py/__init__.py\", line 29, in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
    "exit_code": 1
  }
}

{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "Traceback (most recent call last):\n  File \"/workspace/h5py/__init__.py\", line 25, in <module>\n    from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"/workspace/h5py/__init__.py\", line 29, in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
  "details": {
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/workspace/h5py/__init__.py\", line 25, in <module>\n    from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/workspace/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"/workspace/h5py/__init__.py\", line 29, in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
    "exit_code": 1
  }
}

{
  "status": "ok",
  "stdout": "PYTHON_SHA256=c8f4a596572201d81dd7df91f70e177e19a70f1d489968b54b5fbbf29a97c076\nHOSTNAME=3297b1a1d0c8\nPYTHON_VERSION=3.10.19\nXDG_DATA_HOME=/tmp/.local/share\nXDG_CONFIG_HOME=/tmp/.config\nPWD=/workspace\nPIP_NO_INDEX=1\n_=/usr/bin/env\nTZ=Etc/UTC\nTEST_TMPDIR=/tmp\nHOME=/root\nLANG=C.UTF-8\nGPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D\nHIP_VISIBLE_DEVICES=\nPIP_CACHE_DIR=/tmp/.cache/pip\nXDG_CACHE_HOME=/tmp/.cache\nCUDA_VISIBLE_DEVICES=\nPYTHONPYCACHEPREFIX=/tmp/.cache/pycache\nNO_CONDA=1\nSHLVL=0\nLC_ALL=C.UTF-8\nPATH=/opt/conda/envs/testbed/bin:/opt/miniconda3/envs/testbed/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/conda/bin:/opt/conda/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "ok",
  "stdout": "Name: h5py\nVersion: 3.13.0\nSummary: Read and write HDF5 files from Python\nHome-page: https://www.h5py.org/\nAuthor: \nAuthor-email: Andrew Collette <andrew.collette@gmail.com>\nLicense-Expression: BSD-3-Clause\nLocation: /usr/local/lib/python3.10/site-packages\nEditable project location: /h5py\nRequires: numpy\nRequired-by: \n",
  "stderr": "",
  "exit_code": 0
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{
  "status": "ok",
  "stdout": "lrwxrwxrwx 1 root root 10 Nov 14 03:16 /h5py -> /workspace\n",
  "stderr": "",
  "exit_code": 0
}

{
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  "filepath": "h5py/__init__.py",
  "content": "# This file is part of h5py, a Python interface to the HDF5 library.\n#\n# http://www.h5py.org\n#\n# Copyright 2008-2013 Andrew Collette and contributors\n#\n# License:  Standard 3-clause BSD; see \"license.txt\" for full license terms\n#           and contributor agreement.\n\n\"\"\"\n    This is the h5py package, a Python interface to the HDF5\n    scientific data format.\n\"\"\"\n\nfrom warnings import warn as _warn\nimport atexit\n\n\n# --- Library setup -----------------------------------------------------------\n\n# When importing from the root of the unpacked tarball or git checkout,\n# Python sees the \"h5py\" source directory and tries to load it, which fails.\n# We tried working around this by using \"package_dir\" but that breaks Cython.\ntry:\n    from . import _errors\nexcept ImportError:\n    import os.path as _op\n    if _op.exists(_op.join(_op.dirname(__file__), '..', 'setup.py')):\n        raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\n    else:\n        raise\n\nfrom . import version\n\nif version.hdf5_version_tuple != version.hdf5_built_version_tuple:\n    _warn((\"h5py is running against HDF5 {0} when it was built against {1}, \"\n           \"this may cause problems\").format(\n            '{0}.{1}.{2}'.format(*version.hdf5_version_tuple),\n            '{0}.{1}.{2}'.format(*version.hdf5_built_version_tuple)\n    ))\n\n\n_errors.silence_errors()\n\nfrom ._conv import register_converters as _register_converters, \\\n                   unregister_converters as _unregister_converters\n_register_converters()\natexit.register(_unregister_converters)\n\nfrom .h5z import _register_lzf\n_register_lzf()\n\n\n# --- Public API --------------------------------------------------------------\n\nfrom . import h5a, h5d, h5ds, h5f, h5fd, h5g, h5r, h5s, h5t, h5p, h5z, h5pl\n\nfrom ._hl import filters\nfrom ._hl.base import is_hdf5, HLObject, Empty\nfrom ._hl.files import (\n    File,\n    register_driver,\n    unregister_driver,\n    registered_drivers,\n)\nfrom ._hl.group import Group, SoftLink, ExternalLink, HardLink\nfrom ._hl.dataset import Dataset\nfrom ._hl.datatype import Datatype\nfrom ._hl.attrs import AttributeManager\nfrom ._hl.vds import VirtualSource, VirtualLayout\n\nfrom ._selector import MultiBlockSlice\nfrom .h5 import get_config\nfrom .h5r import Reference, RegionReference\nfrom .h5t import (special_dtype, check_dtype,\n    vlen_dtype, string_dtype, enum_dtype, ref_dtype, regionref_dtype,\n    opaque_dtype,\n    check_vlen_dtype, check_string_dtype, check_enum_dtype, check_ref_dtype,\n    check_opaque_dtype,\n)\nfrom .h5s import UNLIMITED\n\nfrom .version import version as __version__\n\n\ndef run_tests(args=''):\n    \"\"\"Run tests with pytest and returns the exit status as an int.\n    \"\"\"\n    # Lazy-loading of tests package to avoid strong dependency on test\n    # requirements, e.g. pytest\n    from .tests import run_tests\n    return run_tests(args)\n\n\ndef enable_ipython_completer():\n    \"\"\" Call this from an interactive IPython session to enable tab-completion\n    of group and attribute names.\n    \"\"\"\n    import sys\n    if 'IPython' in sys.modules:\n        ip_running = False\n        try:\n            from IPython.core.interactiveshell import InteractiveShell\n            ip_running = InteractiveShell.initialized()\n        except ImportError:\n            # support <ipython-0.11\n            from IPython import ipapi as _ipapi\n            ip_running = _ipapi.get() is not None\n        except Exception:\n            pass\n        if ip_running:\n            from . import ipy_completer\n            return ipy_completer.load_ipython_extension()\n\n    raise RuntimeError('Completer must be enabled in active ipython session')",
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  "is_truncated": false
}

{
  "status": "ok",
  "stdout": "-rw-r--r-- 1 root root 20215 Apr 30  2025 /workspace/h5py/_errors.pxd\n-rw-r--r-- 1 root root  7546 Apr 30  2025 /workspace/h5py/_errors.pyx\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "ls: cannot access '/usr/local/lib/python3.10/site-packages/h5py': No such file or directory\n",
  "details": {
    "stdout": "",
    "stderr": "ls: cannot access '/usr/local/lib/python3.10/site-packages/h5py': No such file or directory\n",
    "exit_code": 2
  }
}

{
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  "error_type": "CommandError",
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    "stderr": "",
    "exit_code": 1
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{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "Traceback (most recent call last):\n  File \"/h5py/h5py/__init__.py\", line 25, in <module>\n    from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/h5py/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"/h5py/h5py/__init__.py\", line 29, in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
  "details": {
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"/h5py/h5py/__init__.py\", line 25, in <module>\n    from . import _errors\nImportError: cannot import name '_errors' from partially initialized module 'h5py' (most likely due to a circular import) (/h5py/h5py/__init__.py)\n\nDuring handling of the above exception, another exception occurred:\n\nTraceback (most recent call last):\n  File \"<string>\", line 1, in <module>\n  File \"/h5py/h5py/__init__.py\", line 29, in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nImportError: You cannot import h5py from inside the install directory.\nChange to another directory first.\n",
    "exit_code": 1
  }
}

{
  "status": "error",
  "error_type": "CommandError",
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  "details": {
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    "stderr": "",
    "exit_code": 1
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}

{
  "status": "error",
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  "details": {
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    "stderr": "",
    "exit_code": 1
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}

{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "ImportError while loading conftest '/workspace/h5py/tests/conftest.py'.\nh5py/__init__.py:29: in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nE   ImportError: You cannot import h5py from inside the install directory.\nE   Change to another directory first.\n",
  "details": {
    "stdout": "",
    "stderr": "ImportError while loading conftest '/workspace/h5py/tests/conftest.py'.\nh5py/__init__.py:29: in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nE   ImportError: You cannot import h5py from inside the install directory.\nE   Change to another directory first.\n",
    "exit_code": 4
  }
}

{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "ERROR: file or directory not found: h5py/tests/test_dataset.py\n\n",
  "details": {
    "stdout": "\nno tests ran in 0.00s\n",
    "stderr": "ERROR: file or directory not found: h5py/tests/test_dataset.py\n\n",
    "exit_code": 4
  }
}

{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "ImportError while loading conftest '/workspace/h5py/tests/conftest.py'.\n/workspace/h5py/__init__.py:29: in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nE   ImportError: You cannot import h5py from inside the install directory.\nE   Change to another directory first.\n",
  "details": {
    "stdout": "",
    "stderr": "ImportError while loading conftest '/workspace/h5py/tests/conftest.py'.\n/workspace/h5py/__init__.py:29: in <module>\n    raise ImportError(\"You cannot import h5py from inside the install directory.\\nChange to another directory first.\")\nE   ImportError: You cannot import h5py from inside the install directory.\nE   Change to another directory first.\n",
    "exit_code": 4
  }
}

{
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}

{
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  "stdout": "__editable__.h5py-3.13.0.pth\n__editable___h5py_3_13_0_finder.py\nh5py-3.13.0.dist-info\n/usr/local/lib/python3.10/site-packages/h5py-3.13.0.dist-info:\n/usr/local/lib/python3.10/site-packages/h5py-3.13.0.dist-info/licenses:\n/usr/local/lib/python3.10/site-packages/h5py-3.13.0.dist-info/licenses/licenses:\n/usr/local/lib/python3.10/site-packages/h5py-3.13.0.dist-info/licenses/lzf:\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "ok",
  "filepath": "h5py/_hl/selections.py",
  "content": "        \"\"\"\n        if self.shape == ():\n            if product(source_shape) != 1:\n                raise TypeError(\"Can't broadcast %s to scalar\" % source_shape)\n            self._id.select_all()\n            yield self._id\n            return\n\n        start, count, step, scalar = self._sel\n\n        rank = len(count)\n        tshape = self.expand_shape(source_shape)\n\n        chunks = tuple(x//y for x, y in zip(count, tshape))\n        nchunks = product(chunks)\n\n        if nchunks == 1:\n            yield self._id\n        else:\n            sid = self._id.copy()\n            sid.select_hyperslab((0,)*rank, tshape, step)\n            for idx in range(nchunks):\n                offset = tuple(x*y*z + s for x, y, z, s in zip(np.unravel_index(idx, chunks), tshape, step, start))\n                sid.offset_simple(offset)\n                yield sid\n\n\nclass FancySelection(Selection):\n\n    \"\"\"\n        Implements advanced NumPy-style selection operations in addition to\n        the standard slice-and-int behavior.\n\n        Indexing arguments may be ints, slices, lists of indices, or\n        per-axis (1D) boolean arrays.\n\n        Broadcasting is not supported for these selections.\n    \"\"\"\n\n    @property\n    def mshape(self):",
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{
  "status": "ok",
  "stdout": "149:    def expand_shape(self, source_shape):\n236:    def expand_shape(self, source_shape):\n336:    def expand_shape(self, source_shape):\n",
  "stderr": "",
  "exit_code": 0,
  "budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}

{
  "status": "ok",
  "filepath": "h5py/_hl/selections.py",
  "content": "# This file is part of h5py, a Python interface to the HDF5 library.\n#\n# http://www.h5py.org\n#\n# Copyright 2008-2013 Andrew Collette and contributors\n#\n# License:  Standard 3-clause BSD; see \"license.txt\" for full license terms\n#           and contributor agreement.\n\n\"\"\"\n    High-level access to HDF5 dataspace selections\n\"\"\"\n\nimport numpy as np\n\nfrom .base import product\nfrom .. import h5s, h5r, _selector\n\ndef select(shape, args, dataset=None):\n    \"\"\" High-level routine to generate a selection from arbitrary arguments\n    to __getitem__.  The arguments should be the following:\n\n    shape\n        Shape of the \"source\" dataspace.\n\n    args\n        Either a single argument or a tuple of arguments.  See below for\n        supported classes of argument.\n\n    dataset\n        A h5py.Dataset instance representing the source dataset.\n\n    Argument classes:\n\n    Single Selection instance\n        Returns the argument.\n\n    numpy.ndarray\n        Must be a boolean mask.  Returns a PointSelection instance.\n\n    RegionReference\n        Returns a Selection instance.\n\n    Indices, slices, ellipses, MultiBlockSlices only\n        Returns a SimpleSelection instance\n\n    Indices, slices, ellipses, lists or boolean index arrays\n        Returns a FancySelection instance.\n    \"\"\"\n    if not isinstance(args, tuple):\n        args = (args,)\n\n    # \"Special\" indexing objects\n    if len(args) == 1:\n\n        arg = args[0]\n        if isinstance(arg, Selection):\n            if arg.shape != shape:\n                raise TypeError(\"Mismatched selection shape\")\n            return arg\n\n        elif isinstance(arg, np.ndarray) and arg.dtype.kind == 'b':\n            if arg.shape != shape:\n                raise TypeError(\"Boolean indexing array has incompatible shape\")\n            return PointSelection.from_mask(arg)\n\n        elif isinstance(arg, h5r.RegionReference):\n            if dataset is None:\n                raise TypeError(\"Cannot apply a region reference without a dataset\")\n            sid = h5r.get_region(arg, dataset.id)\n            if shape != sid.shape:\n                raise TypeError(\"Reference shape does not match dataset shape\")\n\n            return Selection(shape, spaceid=sid)\n\n    if dataset is not None:\n        selector = dataset._selector\n    else:\n        space = h5s.create_simple(shape)\n        selector = _selector.Selector(space)\n\n    return selector.make_selection(args)\n\n\nclass Selection:\n\n    \"\"\"\n        Base class for HDF5 dataspace selections.  Subclasses support the\n        \"selection protocol\", which means they have at least the following\n        members:\n\n        __init__(shape)   => Create a new selection on \"shape\"-tuple\n        __getitem__(args) => Perform a selection with the range specified.\n                             What args are allowed depends on the\n                             particular subclass in use.\n\n        id (read-only) =>      h5py.h5s.SpaceID instance\n        shape (read-only) =>   The shape of the dataspace.\n        mshape  (read-only) => The shape of the selection region.\n                               Not guaranteed to fit within \"shape\", although\n                               the total number of points is less than\n                               product(shape).\n        nselect (read-only) => Number of selected points.  Always equal to\n                               product(mshape).\n\n        broadcast(target_shape) => Return an iterable which yields dataspaces\n                                   for read, based on target_shape.\n\n        The base class represents \"unshaped\" selections (1-D).\n    \"\"\"\n\n    def __init__(self, shape, spaceid=None):\n        \"\"\" Create a selection.  Shape may be None if spaceid is given. \"\"\"\n        if spaceid is not None:\n            self._id = spaceid\n            self._shape = spaceid.shape\n        else:\n            shape = tuple(shape)\n            self._shape = shape\n            self._id = h5s.create_simple(shape, (h5s.UNLIMITED,)*len(shape))\n            self._id.select_all()\n\n    @property\n    def id(self):\n        \"\"\" SpaceID instance \"\"\"\n        return self._id\n\n    @property\n    def shape(self):\n        \"\"\" Shape of whole dataspace \"\"\"\n        return self._shape\n\n    @property\n    def nselect(self):\n        \"\"\" Number of elements currently selected \"\"\"\n        return self._id.get_select_npoints()\n\n    @property\n    def mshape(self):\n        \"\"\" Shape of selection (always 1-D for this class) \"\"\"\n        return (self.nselect,)\n\n    @property\n    def array_shape(self):\n        \"\"\"Shape of array to read/write (always 1-D for this class)\"\"\"\n        return self.mshape\n\n    # expand_shape and broadcast only really make sense for SimpleSelection\n    def expand_shape(self, source_shape):\n        if product(source_shape) != self.nselect:",
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  "budget_warning": "Only 9 tool call(s) remaining (21/30 used). Finalize your edits and call submit_patch soon."
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{
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  "stdout": "211:class SimpleSelection(Selection):\n",
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  "exit_code": 0,
  "budget_warning": "Only 8 tool call(s) remaining (22/30 used). Finalize your edits and call submit_patch soon."
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{
  "status": "ok",
  "filepath": "h5py/_hl/selections.py",
  "content": "class SimpleSelection(Selection):\n\n    \"\"\" A single \"rectangular\" (regular) selection composed of only slices\n        and integer arguments.  Can participate in broadcasting.\n    \"\"\"\n\n    @property\n    def mshape(self):\n        \"\"\" Shape of current selection \"\"\"\n        return self._sel[1]\n\n    @property\n    def array_shape(self):\n        scalar = self._sel[3]\n        return tuple(x for x, s in zip(self.mshape, scalar) if not s)\n\n    def __init__(self, shape, spaceid=None, hyperslab=None):\n        super().__init__(shape, spaceid)\n        if hyperslab is not None:\n            self._sel = hyperslab\n        else:\n            # No hyperslab specified - select all\n            rank = len(self.shape)\n            self._sel = ((0,)*rank, self.shape, (1,)*rank, (False,)*rank)\n\n    def expand_shape(self, source_shape):\n        \"\"\"Match the dimensions of an array to be broadcast to the selection\n\n        The returned shape describes an array of the same size as the input\n        shape, but its dimensions\n\n        E.g. with a dataset shape (10, 5, 4, 2), writing like this::\n\n            ds[..., 0] = np.ones((5, 4))\n\n        The source shape (5, 4) will expand to (1, 5, 4, 1).\n        Then the broadcast method below repeats that chunk 10\n        times to write to an effective shape of (10, 5, 4, 1).\n        \"\"\"\n        start, count, step, scalar = self._sel\n\n        rank = len(count)\n        remaining_src_dims = list(source_shape)\n\n        eshape = []\n        for idx in range(1, rank + 1):\n            if len(remaining_src_dims) == 0 or scalar[-idx]:  # Skip scalar axes\n                eshape.append(1)\n            else:\n                t = remaining_src_dims.pop()\n                if t == 1 or count[-idx] == t:\n                    eshape.append(t)\n                else:\n                    raise TypeError(\"Can't broadcast %s -> %s\" % (source_shape, self.array_shape))  # array shape\n\n        if any([n > 1 for n in remaining_src_dims]):\n            # All dimensions from target_shape should either have been popped\n            # to match the selection shape, or be 1.\n            raise TypeError(\"Can't broadcast %s -> %s\" % (source_shape, self.array_shape))  # array shape\n\n        # We have built eshape backwards, so now reverse it\n        return tuple(eshape[::-1])\n\n\n    def broadcast(self, source_shape):\n        \"\"\" Return an iterator over target dataspaces for broadcasting.\n\n        Follows the standard NumPy broadcasting rules against the current\n        selection shape (self.mshape).\n        \"\"\"\n        if self.shape == ():\n            if product(source_shape) != 1:\n                raise TypeError(\"Can't broadcast %s to scalar\" % source_shape)\n            self._id.select_all()\n            yield self._id\n            return\n\n        start, count, step, scalar = self._sel\n\n        rank = len(count)\n        tshape = self.expand_shape(source_shape)\n\n        chunks = tuple(x//y for x, y in zip(count, tshape))\n        nchunks = product(chunks)\n\n        if nchunks == 1:\n            yield self._id\n        else:\n            sid = self._id.copy()\n            sid.select_hyperslab((0,)*rank, tshape, step)\n            for idx in range(nchunks):\n                offset = tuple(x*y*z + s for x, y, z, s in zip(np.unravel_index(idx, chunks), tshape, step, start))\n                sid.offset_simple(offset)\n                yield sid\n\n\nclass FancySelection(Selection):\n\n    \"\"\"\n        Implements advanced NumPy-style selection operations in addition to",
  "start_line": 211,
  "end_line": 310,
  "total_lines": 435,
  "is_truncated": false,
  "budget_warning": "Only 7 tool call(s) remaining (23/30 used). Finalize your edits and call submit_patch soon."
}