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ROLLOUT 7 · pyqtgraph/pyqtgraph

pyqtgraph__pyqtgraph-3278

Solved
317 stotal time
16tool calls
18model calls
4,480tokens generated
173,809prompt tokens read

No error recorded

⚠ The request log has 17 model calls but the trace has 21 agent calls, so tokens are listed separately instead of beside each turn.

Turn by turn

Token shading: p ≥ 0.9 0.5 – 0.9 0.2 – 0.5 below 0.2. Hover a token for its id and probability.

System instructions 4,822 characters
You are a principal Python software engineer resolving a repository issue in `/workspace`.
Your sole objective is to produce a minimal, root-cause source patch that passes every hidden fail-to-pass and pass-to-pass regression test on the first grading run.

## Critical Environment & Grader Rules
1. **Air-Gapped Sandbox & Available CLI Tools**: No network access. Never run `pip`, `uv`, `conda`, or `git fetch`. Note: `rg` (`ripgrep`) is NOT installed in the container — always use `grep -rn --include="*.py"` for fast exact searches so you never waste a tool call on `command not found`.
2. **Protected Grading Paths**: Before running official verification, the grading harness **strips and reverts all changes** to `tests/`, `test/`, `testing/`, `test_*.py`, `*_test.py`, `conftest.py`, `pyproject.toml`, `setup.cfg`, `pytest.ini`, and `tox.ini`. Every part of your fix MUST reside in non-test production source files.
3. **Untracked File Trap (`git add -N .`)**: `submit_patch` stages ALL untracked files inside `/workspace`! Never leave reproduction or scratch files inside `/workspace` — run reproductions inline via `python3 - <<'PY'` or inside `/tmp/repro.py` in a single `run_command`.
4. **Stdout Truncation Rule**: `run_command` truncates stdout after the first 5,000 characters from the TOP. Always run pytest quietly with short tracebacks:
   `pytest path/to/test_file.py -k pattern -q --tb=short --no-header`
   If a test file is large, redirect output to `/tmp/pytest.log` and inspect `tail -n 80 /tmp/pytest.log` so failure tracebacks at the bottom are never cut off.
5. **Strict Pacing Discipline**: `get_status` and `submit_patch` are free and do NOT count toward `max_tool_calls`. Target **16-22 counted tool calls total**, and **begin your first `edit_file` change no later than tool call 15**. Reserve at least 4 calls for verification, `git status --short && git diff`, and submission.

## Execution Protocol

### Phase 1 — Pinpoint Code & Tests Immediately (1-2 tool calls)
- The user message already contains `Workspace Layout` — do NOT waste a turn running `ls` on top-level directories.
- Run a single compound `run_command` with `grep -rn --include="*.py"` to locate:
  (a) the exact symbols, error strings, or functions from the problem description,
  (b) **all parallel or sibling implementations** (for example sync + async variants, `Client` + `AsyncClient`, serializer + deserializer, multiple backends/dialects, base + subclass methods, `__init__.py` / `__all__` exports), and
  (c) the closest existing unit test files under `tests/`.

### Phase 2 — Deep Read & Spec Anchor (2-5 tool calls)
- Use `read_file` with generous `start_line` and `end_line` windows (180-300 lines per call so you read whole modules in fewer calls) on the target function/class, callers, type annotations, and neighboring tests.
- Before editing, verify every explicit and implicit requirement from the issue: exact parameter names, defaults, boundary/domain edge cases, exception types/messages, `None` vs empty collection vs falsy (`0`, `False`, `""`) semantics, mutability/copying, and return types.

### Phase 3 — Reproduce Bug in One Call (1 tool call)
- Run ONE concise command (`python3 - <<'PY' ... PY` or targeted `pytest ... -q --tb=short --no-header`) via `run_command` to observe the exact pre-fix failure. Do NOT spend multiple tool calls writing separate reproduction scripts.

### Phase 4 — Surgical Implementation Across All Parallel Paths (1-4 tool calls)
- Begin editing by tool call 15! Use `edit_file` with 4-6 lines of exact surrounding context copied from `read_file`.
- Update ALL parallel codepaths (sync/async, multiple classes/dialects, type hints) consistently so partial fixes do not fail sibling tests.
- **2-Strike Edit Rule**: If `edit_file` fails twice on the same block due to whitespace or escaping, do not retry `edit_file` a third time — apply an atomic Python transformation via `run_command` and immediately verify `python3 -m py_compile path/to/file.py`.

### Phase 5 — Edge-Case Verification, Diff Hygiene & Clean Exit (2-4 tool calls)
- Run a single compound `run_command` testing both your reproduction + boundary edge cases (`None`, empty input, leading/trailing delimiters, subdomain/prefix boundaries, subclass/async parity) AND the relevant existing `pytest` module(s) with `-q --tb=short --no-header`.
- Run `git status --short && git diff` via `run_command`. Confirm:
  - ZERO untracked (`??`) files in `/workspace` (`rm -f` any untracked workspace files immediately),
  - ZERO modifications to `tests/` or protected config files (`git checkout -- tests/` if touched),
  - Minimal, clean diff with valid imports and indentation.
- Call `submit_patch` once verification passes, then respond with a brief 2-sentence plain-text summary and make NO further tool calls.
Task prompt 9,569 characters
You are evaluating a software engineering task for repository pyqtgraph/pyqtgraph.

Problem Statement:
TypeError when using a record array to plot data
<!-- In the following, please describe your issue in detail! -->
<!-- If some sections do not apply, just remove them. -->

### Short description
<!-- This should summarize the issue. -->
Using a NumPy record array as data to plot results in the following:
`TypeError: Cannot compare structured or void to non-void arrays.`

### Code to reproduce
<!-- Please provide a minimal working example that reproduces the issue in the code block below.
     Ideally, this should be a full example someone else could run without additional setup. -->

```python
import pyqtgraph as pg
import numpy as np

data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])
pg.plot(data_array)

pg.exec()
```

### Expected behavior
<!-- What should happen? -->
According to the API reference, a PlotDataItem can be initialized with a NumPy recarray with `dtype=[('x', float), ('y', float), ...]`, so the above code should plot the (uninitialized) recarray data.

### Real behavior
<!-- What happens? -->
```
Traceback (most recent call last):
  File "C:\Users\_\code\recarray_test.py", line 5, in <module>
    pg.plot(data_array)
  File "C:\Users\_\code\.venv\lib\site-packages\pyqtgraph\__init__.py", line 392, in plot
    w.plot(*args, **dataArgs)
  File "C:\Users\_\code\.venv\lib\site-packages\pyqtgraph\graphicsItems\PlotItem\PlotItem.py", line 630, in plot
    item = PlotDataItem(*args, **kargs)
  File "C:\Users\_\code\.venv\lib\site-packages\pyqtgraph\graphicsItems\PlotDataItem.py", line 375, in __init__
    self.setData(*args, **kargs)
  File "C:\Users\_\code\.venv\lib\site-packages\pyqtgraph\graphicsItems\PlotDataItem.py", line 719, in setData
    if 'x' in data:
TypeError: Cannot compare structured or void to non-void arrays.
```

### Tested environment(s)

 * PyQtGraph version: 0.13.7
 * Qt Python binding: PyQt6 6.8.1 Qt 6.8.2
 * Python version: 3.9.13
 * NumPy version: 2.0.2
 * Operating system: Windows 11
 * Installation method: pip


## Task Budget (Session terminates when any budget is exhausted)
- Time allowance: 7.5 minutes
- Tool calls allowance: 30 calls
- Max loop iterations: 40 turns

## Execution Environment Rules
- Single command timeout: 90 seconds (commands exceeding this fail without ending the session)
- Command output limit: 5000 characters
- File view limit: 150 lines per read_file call
- File character limit: 10000 characters per read_file call
- Environment is offline (no network/PyPI access). All repository and test dependencies are ALREADY pre-installed. Do NOT attempt to run pip install or download packages.

## Instructions:
0. All source code is under `/workspace`. Do NOT search outside `/workspace` (e.g. `/usr/`, `/wheels/`, system site-packages). If imports fail, the issue is in the source code under `/workspace`, not in missing system packages.
1. Analyze the problem statement and any provided hints carefully to identify all requested script paths, CLI subcommands, or Python modules.
2. Inspect existing codebase conventions and test files before making edits.
3. Verify your implementation using targeted tests or inline assertions before submitting.
4. Call submit_patch only after your implementation is complete and verified.
5. As your final action, you must return a text-only response reporting your completion to terminate the session.
## Workspace Layout
The repository is located at `/workspace`. Here is the directory tree (up to 3 levels):
```
./CHANGELOG
./CODE_OF_CONDUCT.md
./CONTRIBUTING.md
./LICENSE.txt
./MANIFEST.in
./README.md
./benchmarks
./binder
./binder/apt.txt
./binder/requirements.txt
./binder/runtime.txt
./binder/start
./doc
./doc/Makefile
./doc/listmissing.py
./doc/make.bat
./doc/requirements.txt
./doc/source
./doc/source/_static
./doc/source/api_reference
./doc/source/conf.py
./doc/source/developer_guide
./doc/source/dictionaries
./doc/source/getting_started
./doc/source/images
./doc/source/index.rst
./doc/source/user_guide
./doc/uml_overview.txt
./pyproject.toml
./pyqtgraph
./pyqtgraph/GraphicsScene
./pyqtgraph/GraphicsScene/GraphicsScene.py
./pyqtgraph/GraphicsScene/__init__.py
./pyqtgraph/GraphicsScene/exportDialog.py
./pyqtgraph/GraphicsScene/exportDialogTemplate.ui
./pyqtgraph/GraphicsScene/exportDialogTemplate_generic.py
./pyqtgraph/GraphicsScene/mouseEvents.py
./pyqtgraph/PlotData.py
./pyqtgraph/Point.py
./pyqtgraph/Qt
./pyqtgraph/Qt/OpenGLConstants.py
./pyqtgraph/Qt/OpenGLHelpers.py
./pyqtgraph/Qt/QtCore
./pyqtgraph/Qt/QtGui
./pyqtgraph/Qt/QtSvg.pyi
./pyqtgraph/Qt/QtTest.pyi
./pyqtgraph/Qt/QtWidgets
./pyqtgraph/Qt/__init__.py
./pyqtgraph/Qt/__init__.pyi
./pyqtgraph/Qt/compat
./pyqtgraph/Qt/internals.py
./pyqtgraph/SRTTransform.py
./pyqtgraph/SRTTransform3D.py
./pyqtgraph/SignalProxy.py
./pyqtgraph/ThreadsafeTimer.py
./pyqtgraph/Transform3D.py
./pyqtgraph/Vector.py
./pyqtgraph/WidgetGroup.py
./pyqtgraph/__init__.py
./pyqtgraph/colormap.py
./pyqtgraph/colors
./pyqtgraph/colors/__init__.py
./pyqtgraph/colors/maps
./pyqtgraph/colors/palette.py
./pyqtgraph/configfile.py
./pyqtgraph/console
./pyqtgraph/console/CmdInput.py
./pyqtgraph/console/Console.py
./pyqtgraph/console/__init__.py
./pyqtgraph/console/exception_widget.py
./pyqtgraph/console/repl_widget.py
./pyqtgraph/console/stackwidget.py
./pyqtgraph/debug.py
./pyqtgraph/dockarea
./pyqtgraph/dockarea/Container.py
./pyqtgraph/dockarea/Dock.py
./pyqtgraph/dockarea/DockArea.py
./pyqtgraph/dockarea/DockDrop.py
./pyqtgraph/dockarea/__init__.py
./pyqtgraph/examples
./pyqtgraph/examples/Arrow.py
./pyqtgraph/examples/AxisItem_label_overlap.py
./pyqtgraph/examples/BarGraphItem.py
./pyqtgraph/examples/CLIexample.py
./pyqtgraph/examples/ColorBarItem.py
./pyqtgraph/examples/ColorButton.py
./pyqtgraph/examples/ColorGradientPlots.py
./pyqtgraph/examples/ConsoleWidget.py
./pyqtgraph/examples/CustomGraphItem.py
./pyqtgraph/examples/DataSlicing.py
./pyqtgraph/examples/DataTreeWidget.py
./pyqtgraph/examples/DateAxisItem.py
./pyqtgraph/examples/DateAxisItem_QtDesigner.py
./pyqtgraph/examples/DateAxisItem_QtDesigner.ui
./pyqtgraph/examples/DiffTreeWidget.py
./pyqtgraph/examples/Draw.py
./pyqtgraph/examples/ErrorBarItem.py
./pyqtgraph/examples/ExampleApp.py
./pyqtgraph/examples/FillBetweenItem.py
./pyqtgraph/examples/Flowchart.py
./pyqtgraph/examples/FlowchartCustomNode.py
./pyqtgraph/examples/GLBarGraphItem.py
./pyqtgraph/examples/GLGradientLegendItem.py
./pyqtgraph/examples/GLGraphItem.py
./pyqtgraph/examples/GLImageItem.py
./pyqtgraph/examples/GLIsosurface.py
./pyqtgraph/examples/GLLinePlotItem.py
./pyqtgraph/examples/GLMeshItem.py
./pyqtgraph/examples/GLPainterItem.py
./pyqtgraph/examples/GLScatterPlotItem.py
./pyqtgraph/examples/GLSurfacePlot.py
./pyqtgraph/examples/GLTextItem.py
./pyqtgraph/examples/GLViewWidget.py
./pyqtgraph/examples/GLVolumeItem.py
./pyqtgraph/examples/GLshaders.py
./pyqtgraph/examples/GradientEditor.py
./pyqtgraph/examples/GradientWidget.py
./pyqtgraph/examples/GraphItem.py
./pyqtgraph/examples/GraphicsLayout.py
./pyqtgraph/examples/GraphicsScene.py
./pyqtgraph/examples/HistogramLUT.py
./pyqtgraph/examples/ImageItem.py
./pyqtgraph/examples/ImageView.py
./pyqtgraph/examples/InfiniteLine.py
./pyqtgraph/examples/InteractiveParameter.py
./pyqtgraph/examples/JoystickButton.py
./pyqtgraph/examples/Legend.py
./pyqtgraph/examples/LogPlotTest.py
./pyqtgraph/examples/MatrixDisplayExample.py
./pyqtgraph/examples/MouseSelection.py
./pyqtgraph/examples/MultiDataPlot.py
./pyqtgraph/examples/MultiPlotSpeedTest.py
./pyqtgraph/examples/MultiplePlotAxes.py
./pyqtgraph/examples/NonUniformImage.py
./pyqtgraph/examples/PColorMeshItem.py
./pyqtgraph/examples/PanningPlot.py
./pyqtgraph/examples/PlotAutoRange.py
./pyqtgraph/examples/PlotSpeedTest.py
./pyqtgraph/examples/PlotWidget.py
./pyqtgraph/examples/Plotting.py
./pyqtgraph/examples/ProgressDialog.py
./pyqtgraph/examples/ROIExamples.py
./pyqtgraph/examples/ROItypes.py
./pyqtgraph/examples/RemoteGraphicsView.py
./pyqtgraph/examples/RemoteSpeedTest.py
./pyqtgraph/examples/RunExampleApp.py
./pyqtgraph/examples/ScaleBar.py
./pyqtgraph/examples/ScatterPlot.py
./pyqtgraph/examples/ScatterPlotSpeedTest.py
./pyqtgraph/examples/ScatterPlotWidget.py
./pyqtgraph/examples/SimplePlot.py
./pyqtgraph/examples/SpinBox.py
./pyqtgraph/examples/Symbols.py
./pyqtgraph/examples/TableWidget.py
./pyqtgraph/examples/TreeWidget.py
./pyqtgraph/examples/VideoSpeedTest.py
./pyqtgraph/examples/VideoTemplate.ui
./pyqtgraph/examples/VideoTemplate_generic.py
./pyqtgraph/examples/ViewBox.py
./pyqtgraph/examples/ViewBoxFeatures.py
./pyqtgraph/examples/ViewLimits.py
./pyqtgraph/examples/__init__.py
./pyqtgraph/examples/__main__.py
./pyqtgraph/examples/_buildParamTypes.py
./pyqtgraph/examples/_paramtreecfg.py
./pyqtgraph/examples/beeswarm.py
./pyqtgraph/exceptionHandling.py
./pyqtgraph/exporters
./pyqtgraph/flowchart
./pyqtgraph/frozenSupport.py
./pyqtgraph/functions.py
./pyqtgraph/functions_numba.py
./pyqtgraph/functions_qimage.py
./pyqtgraph/graphicsItems
./pyqtgraph/icons
./pyqtgraph/imageview
./pyqtgraph/jupyter
./pyqtgraph/multiprocess
./pyqtgraph/opengl
./pyqtgraph/parametertree
./pyqtgraph/reload.py
./pyqtgraph/units.py
./pyqtgraph/util
./pyqtgraph/widgets
./pytest.ini
./setup.py
./test.py
./tests
./tools
./tools/generateChangelog.py
./tools/pg-release.py
./tools/py2exe.bat
./tools/py2exeSetupWindows.py
./tools/pyuic5
./tools/rebuildPtreeRst.py
./tools/rebuildUi.py
./tools/release_instructions.md
./tools/setupHelpers.py
./tools/shell.py
./tox.ini
```
Turn 1at 67 s699 tokens out5,093 prompt tokens
The user is reporting a `TypeError` when using a NumPy recarray to plot data in `pyqtgraph`.
The error occurs at `pyqtgraph/graphicsItems/PlotDataItem.py`, line 719, in `setData`:
`if 'x' in data: TypeError: Cannot compare structured or void to non-void arrays.`

This happens when `data` is a NumPy recarray with `dtype=[('x', float), ('y', float)]`.
In NumPy, performing `'x' in data` where `data` is a structured array (like a recarray) might not work as expected if `data` is treated as an array of records rather than a mapping-like object for its field names.

Wait, if `data` is a recarray, `data.dtype.names` would contain `('x', 'y')`.
Checking the error message: `TypeError: Cannot compare structured or void to non-void arrays.`
This usually happens when you try to use `in` on a NumPy array and NumPy tries to do element-wise comparison.
If `data` is a numpy array, `if 'x' in data` might try to check if 'x' is an element of the array. If the array has a structured dtype, this comparison fails.

Let's reproduce this.
Turn 2at 67 s
```python
import numpy as np
try:
    import pyqtgraph as pg
    # The issue is reported as appearing in pg.plot(data_array)
    # which eventually calls PlotDataItem.setData
    # We can just simulate the failing line in PlotDataItem.setData
    data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])
    print(f"Testing 'x' in data_array: {'x' in data_array}")
except TypeError as e:
    print(f"Caught expected TypeError: {e}")
except Exception as e:
    print(f"Caught unexpected exception: {type(e).__name__}: {e}")
```

Wait, I need to run this via `run_command`. I'll first try to reproduce it exactly as described. Note that I don't have a display, so `pg.plot` might fail if it tries to create a window. However, the error happens during `setData` which is called during `PlotDataItem` initialization, before any rendering.

Let's try a reproduction script that doesn't require a GUI if possible, or just see if the error happens before any GUI issues. Actually, `PlotDataItem` initialization call `setData` and that's where it fails.

Wait, I can just test the specific line from the traceback: `if 'x' in data:`.

Let's create a repro script.<channel|>
Turn 3at 67 s
TOOL CALL · run_command
{
  "command": "python3 - <<'PY'\nimport numpy as np\ntry:\n    data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])\n    print(f\"Checking 'x' in data_array: {'x' in data_array}\")\nexcept TypeError as e:\n    print(f\"Caught expected TypeError: {e}\")\nPY\n"
}
Result of run_command 142 characters
{
  "status": "ok",
  "stdout": "Caught expected TypeError: Cannot compare structured or void to non-void arrays.\n",
  "stderr": "",
  "exit_code": 0
}
Turn 4at 85 s222 tokens out5,848 prompt tokens
Okay, the repro script I just ran confirmed that `'x' in data_array` raises `TypeError: Cannot compare structured or void to non-void arrays.` when `data_array` is a recarray.

Now I need to see how `pyqtgraph/graphicsItems/PlotDataItem.py` handles this and fix it.
The line is `if 'x' in data:`.

If `data` is a recarray, we should probably check `data.dtype.names` or use `hasattr(data, 'names')` or something similar.
Actually, `np.recarray` has a `dtype` attribute, and that `dtype` has a `names` attribute if it's a structured array.

Let's examine `pyqtgraph/graphicsItems/PlotDataItem.py` around line 719.
TOOL CALL · read_file
{
  "end_line": 740,
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "start_line": 700
}
Result of read_file 1,648 characters
{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "            Receives the ``autoAlpha`` value from a parent\n            :class:`~pyqtgraph.PlotItem`, but has no function within PlotDataItem\n            itself.\n\n        See Also\n        --------\n        :meth:`QGraphicsItem.setOpacity <QGraphicsItem.setOpacity>`\n            This is the Qt method that the value is relayed to.\n        \"\"\"\n        if self.opts['alphaHint'] == alpha and self.opts['alphaMode'] == auto:\n            return\n        self.opts['alphaHint'] = alpha\n        self.opts['alphaMode'] = auto\n        self.setOpacity(alpha)\n\n    def setFftMode(self, state: bool):\n        \"\"\"\n        Enable FFT mode.\n\n        FFT mode enables mapping the data by a fast Fourier transform.  If the `x`\n        values are not equidistant, the data set is resampled at equal intervals.\n\n        Parameters\n        ----------\n        state : bool\n            To enable or disable FFT mode.\n        \"\"\"\n        if self.opts['fftMode'] == state:\n            return\n        self.opts['fftMode'] = state\n        self._datasetMapped  = None\n        self._datasetDisplay = None\n        self.updateItems(styleUpdate=False)\n        self.informViewBoundsChanged()\n\n    def setLogMode(self, xState: bool, yState: bool):\n        \"\"\"\n        Enable log mode per axis.\n\n        When the log mode is enabled for the respective axis, a mapping according to\n        ``mapped = np.log10(value)`` is applied to the data. For each negative or zero",
  "start_line": 700,
  "end_line": 740,
  "total_lines": 1839,
  "is_truncated": false
}
Turn 5at 99 s265 tokens out6,544 prompt tokens
Wait, the line numbers in the issue description might be for a different version of pyqtgraph than the one in `/workspace`.
The issue says:
`File "C:\Users\_\code\.venv\lib\site-packages\pyqtgraph\graphicsItems\PlotDataItem.py", line 719, in setData`
`if 'x' in data: TypeError: Cannot compare structured or void to non-void arrays.`

In my `read_file` output, line 719 is inside `setLogMode`? No, looking at the output:
Line 700 is some alpha hint stuff.
Line 712 is `def setFftMode(self, state: bool):`.
Line 725 is `def setLogMode(self, xState: bool, yState: bool):`.

The issue reporter is using pyqtgraph 0.13.7. I should check what version I have or just search for the string `if 'x' in data:`.
TOOL CALL · run_command
{
  "command": "grep -rn --include=\"*.py\" \"if 'x' in data:\" pyqtgraph/graphicsItems/PlotDataItem.py"
}
Result of run_command 98 characters
{
  "status": "ok",
  "stdout": "1164:                if 'x' in data:\n",
  "stderr": "",
  "exit_code": 0
}
Turn 6at 103 s75 tokens out6,861 prompt tokens
Okay, it's at line 1164 in this version. Let's read the context around line 1164.
TOOL CALL · read_file
{
  "end_line": 1200,
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "start_line": 1140
}
Result of read_file 2,568 characters
{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "            Raised when an invalid type was passed in for `x` or `y` data.\n\n        See Also\n        --------\n        :class:`PlotDataItem`\n            The arguments accepted by :meth:`setData` are the same used during \n            initialization, and are listed in the opening section.\n        :func:`~pyqtgraph.arrayToQPath`\n            Explains the constructions of the draw paths.\n        \"\"\"\n        profiler = debug.Profiler()\n        y = None\n        x = None\n        if len(args) == 1:\n            data = args[0]\n            dt = dataType(data)\n            if dt == 'empty':\n                pass\n            elif dt == 'listOfValues':\n                y = np.array(data)\n            elif dt == 'Nx2array':\n                x = data[:, 0]\n                y = data[:, 1]\n            elif dt == 'recarray' or dt == 'dictOfLists':\n                if 'x' in data:\n                    x = np.array(data['x'])\n                if 'y' in data:\n                    y = np.array(data['y'])\n            elif dt == 'listOfDicts':\n                if 'x' in data[0]:\n                    x = np.array([d.get('x',None) for d in data])\n                if 'y' in data[0]:\n                    y = np.array([d.get('y',None) for d in data])\n                for k in [\n                    'data', 'symbolSize', 'symbolPen', 'symbolBrush', 'symbolShape'\n                ]:\n                    if k in data[0]:\n                        kwargs[k] = [d.get(k) for d in data]\n            else:\n                raise TypeError('Invalid data type %s' % type(data))\n\n        elif len(args) == 2:\n            seq = ('listOfValues', 'empty')\n            dtyp = dataType(args[0]), dataType(args[1])\n            if dtyp[0] not in seq or dtyp[1] not in seq:\n                raise TypeError(\n                    (\n                        'When passing two unnamed arguments, both must be a list or '\n                        'array of values. (got %s, %s)'\n                        % (str(type(args[0])), str(type(args[1])))\n                    )\n                )\n            if not isinstance(args[0], np.ndarray):\n                x = np.array(args[0])\n            else:\n                x = args[0].view(np.ndarray)\n            if not isinstance(args[1], np.ndarray):\n                y = np.array(args[1])\n            else:\n                y = args[1].view(np.ndarray)\n",
  "start_line": 1140,
  "end_line": 1200,
  "total_lines": 1839,
  "is_truncated": false
}
Turn 7at 116 s207 tokens out7,672 prompt tokens
The trouble is here:
```python
            elif dt == 'recarray' or dt == 'dictOfLists':
                if 'x' in data:
                    x = np.array(data['x'])
                if 'y' in data:
                    y = np.array(data['y'])
```
If `dt == 'recarray'`, `data` is a NumPy recarray.
As we saw, `'x' in data` raises `TypeError` for NumPy structured arrays.
For a recarray (which is a subclass of structured array), we should check the field names in `data.dtype.names`.

Wait, let's see what `dataType(data)` does. It's probably a helper function in the same file.
Let me find where `dataType` is defined.
TOOL CALL · run_command
{
  "command": "grep -n \"def dataType\" pyqtgraph/graphicsItems/PlotDataItem.py"
}
Result of run_command 92 characters
{
  "status": "ok",
  "stdout": "1799:def dataType(obj) -> str:\n",
  "stderr": "",
  "exit_code": 0
}
Turn 8at 119 s59 tokens out7,931 prompt tokens
Wait, line 1798+. Let me read it.
TOOL CALL · read_file
{
  "end_line": 1839,
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "start_line": 1790
}
Result of read_file 1,713 characters
{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "            x = x2\n        n = y.size\n        f = np.fft.rfft(y) / n\n        d = float(x[-1] - x[0]) / (len(x) - 1)\n        x = np.fft.rfftfreq(n, d)\n        y = np.abs(f)\n        return x, y\n\n\ndef dataType(obj) -> str:\n    type_: str\n    if hasattr(obj, '__len__') and len(obj) == 0:\n        type_ = 'empty'\n    elif isinstance(obj, dict):\n        type_ = 'dictOfLists'\n    elif np.iterable(obj):\n        first = obj[0]\n        if isinstance(obj, np.ndarray):\n            if obj.ndim == 1:\n                type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'\n            elif obj.ndim == 2 and obj.dtype.names is None and obj.shape[1] == 2:\n                type_ = 'Nx2array'\n            else:\n                raise ValueError(\n                    f'array shape must be (N,) or (N,2); got {str(obj.shape)} instead'\n                )\n        elif isinstance(first, dict):\n            type_ = 'listOfDicts'\n        else:\n            type_ = 'listOfValues'\n    else:\n        raise ValueError(\"Cannot identify data-structure.\")\n    return type_\n\n\ndef isSequence(obj):\n    warnings.warn(\n        (\n            \"isSequence is deprecated and will be removed in a future version of\"\n            \"pyqtgraph, use np.iterable(obj) instead.\"\n        ), DeprecationWarning, stacklevel=2\n    )\n    return (\n        hasattr(obj, '__iter__') or\n        isinstance(obj, np.ndarray) or\n        (\n            hasattr(obj, 'implements') and\n            obj.implements('MetaArray')\n        )\n    )",
  "start_line": 1790,
  "end_line": 1839,
  "total_lines": 1839,
  "is_truncated": false
}
Turn 9at 171 s856 tokens out8,548 prompt tokens
Okay, `dataType` returns `'recarray'` if `obj` is a `np.ndarray` with `ndim == 1` and `obj.dtype.names` is NOT `None`.

So if `dt == 'recarray'`, we know `data` is a NumPy structured array.
To check if a field 'x' exists in a structured array, we should check `data.dtype.names`.

If `dt == 'dictOfLists'`, `data` is a `dict`. For a `dict`, `'x' in data` works perfectly.

So we need to distinguish between `recarray` and `dictOfLists` when checking for 'x' and 'y'.

Currently:
```python
            elif dt == 'recarray' or dt == 'dictOfLists':
                if 'x' in data:
                    x = np.array(data['x'])
                if 'y' in data:
                    y = np.array(data['y'])
```

We can change it to:
```python
            elif dt == 'recarray':
                if data.dtype.names and 'x' in data.dtype.names:
                    x = np.array(data['x'])
                if data.dtype.names and 'y' in data.dtype.names:
                    y = np.array(data['y'])
            elif dt == 'dictOfLists':
                if 'x' in data:
                    x = np.array(data['x'])
                if 'y' in data:
                    y = np.array(data['y'])
```
Wait, if `dt == 'recarray'`, `data.dtype.names` is guaranteed to be not None according to `dataType()`:
`type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'`

So if `dt == 'recarray'`, `data.dtype.names` exists.

Also, we can combine these if we use a way to check keys for both.
Actually, for a recarray, `data.dtype.names` is a tuple of field names.
For a dict, `data.keys()` (or just `in` on the dict) works.

Wait, if I want to keep it concise:
```python
            elif dt == 'recarray' or dt == 'dictOfLists':
                names = data.dtype.names if dt == 'recarray' else data
                if 'x' in names:
                    x = np.array(data['x'])
                if 'y' in names:
                    y = np.array(data['y'])
```

Let's verify this logic.
If `dt == 'recarray'`, `names` is `data.dtype.names` (a tuple). `'x' in names` works. `data['x']` works for structured arrays too.
If `dt == 'dictOfLists'`, `names` is `data` (a dict). `'x' in names` works. `data['x']` works.

Let's double check if there are any other places this pattern is used.

Actually, I should first reproduce the failure using a script that doesn't require a GUI.
I'll try to instantiate `PlotDataItem` and call `setData` (which is called in `__init__`).
TOOL CALL · run_command
{
  "command": "python3 - <<'PY'\nimport numpy as np\ntry:\n    import pyqtgraph as pg\n    from pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem\n    data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])\n    print(\"Initializing PlotDataItem with recarray...\")\n    item = PlotDataItem(data_array)\n    print(\"Success!\")\nexcept Exception as e:\n    import traceback\n    traceback.print_exc()\nPY\n"
}
Result of run_command 475 characters
{
  "status": "ok",
  "stdout": "Initializing PlotDataItem with recarray...\n",
  "stderr": "Traceback (most recent call last):\n  File \"<stdin>\", line 7, in <module>\n  File \"/workspace/pyqtgraph/graphicsItems/PlotDataItem.py\", line 622, in __init__\n    self.setData(*args, **kwargs)\n  File \"/workspace/pyqtgraph/graphicsItems/PlotDataItem.py\", line 1164, in setData\n    if 'x' in data:\nTypeError: Cannot compare structured or void to non-void arrays.\n",
  "exit_code": 0
}
Turn 10at 178 s99 tokens out9,569 prompt tokens
Perfectly reproduced. Now I will apply the fix.

I'll use the `names = data.dtype.names if dt == 'recarray' else data` approach for conciseness and clarity.

Wait, let me check if `PlotDataItem.py` has any other similar blocks.
TOOL CALL · run_command
{
  "command": "grep -n \"if 'x' in\" pyqtgraph/graphicsItems/PlotDataItem.py"
}
Result of run_command 171 characters
{
  "status": "ok",
  "stdout": "1164:                if 'x' in data:\n1169:                if 'x' in data[0]:\n1201:        if 'x' in kwargs:\n",
  "stderr": "",
  "exit_code": 0
}
Turn 11at 219 s638 tokens out9,751 prompt tokens
Line 1169:
```python
            elif dt == 'listOfDicts':
                if 'x' in data[0]:
                    x = np.array([d.get('x',None) for d in data])
                if 'y' in data[0]:
                    y = np.array([d.get('y',None) for d in data])
```
Here `data` is a list of dicts, and it checks `data[0]`. `data[0]` is a dict, so it's fine.

Line 1201:
```python
        if 'x' in kwargs:
            x = np.array(kwargs['x'])
```
`kwargs` is a dict, so it's fine.

So only line 1164 needs fixing.

Let's apply the fix.

```python
<<<<
            elif dt == 'recarray' or dt == 'dictOfLists':
                if 'x' in data:
                    x = np.array(data['x'])
                if 'y' in data:
                    y = np.array(data['y'])
====
            elif dt == 'recarray' or dt == 'dictOfLists':
                names = data.dtype.names if dt == 'recarray' else data
                if 'x' in names:
                    x = np.array(data['x'])
                if 'y' in names:
                    y = np.array(data['y'])
>>>>
```

Wait, one detail: if `dt == 'recarray'`, `data.dtype.names` is a tuple of field names. If it's `None`, then `dataType` would have returned `'listOfValues'`. So we can assume it's not None.

Actually, let's look at `dataType` again:
`type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'`
So yes, if `dt == 'recarray'`, `data.dtype.names` is guaranteed to be a tuple.

Let's apply the edit.
TOOL CALL · edit_file
{
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "new_string": "            elif dt == 'recarray' or dt == 'dictOfLists':\n                names = data.dtype.names if dt == 'recarray' else data\n                if 'x' in names:\n                    x = np.array(data['x'])\n                if 'y' in names:\n                    y = np.array(data['y'])",
  "old_string": "            elif dt == 'recarray' or dt == 'dictOfLists':\n                if 'x' in data:\n                    x = np.array(data['x'])\n                if 'y' in data:\n                    y = np.array(data['y'])"
}
Result of edit_file 769 characters
{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "occurrences": 1,
  "strategy": "exact",
  "diff": "--- a/pyqtgraph/graphicsItems/PlotDataItem.py\n+++ b/pyqtgraph/graphicsItems/PlotDataItem.py\n@@ -1161,9 +1161,10 @@\n                 x = data[:, 0]\n                 y = data[:, 1]\n             elif dt == 'recarray' or dt == 'dictOfLists':\n-                if 'x' in data:\n+                names = data.dtype.names if dt == 'recarray' else data\n+                if 'x' in names:\n                     x = np.array(data['x'])\n-                if 'y' in data:\n+                if 'y' in names:\n                     y = np.array(data['y'])\n             elif dt == 'listOfDicts':\n                 if 'x' in data[0]:\n",
  "is_truncated": false
}
Turn 12at 244 s403 tokens out10,647 prompt tokens
Now let's verify the fix with the repro script. I'll also test with `dictOfLists` to make sure I didn't break it.
TOOL CALL · run_command
{
  "command": "python3 - <<'PY'\nimport numpy as np\ntry:\n    import pyqtgraph as pg\n    from pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem\n    \n    # Test 1: recarray\n    print(\"Testing recarray...\")\n    data_rec = np.recarray((10,), dtype=[('x', float), ('y', float)])\n    item_rec = PlotDataItem(data_rec)\n    print(\"recarray success!\")\n    \n    # Test 2: dictOfLists\n    print(\"\\nTesting dictOfLists...\")\n    data_dict = {'x': np.arange(10), 'y': np.arange(10)}\n    item_dict = PlotDataItem(data_dict)\n    print(\"dictOfLists success!\")\n    \n    # Test 3: recarray with only x\n    print(\"\\nTesting recarray with only x...\")\n    data_xonly = np.recarray((10,), dtype=[('x', float)])\n    item_xonly = PlotDataItem(data_xonly)\n    print(\"recarray x-only success!\")\n    \n    # Test 4: dictOfLists with only x\n    print(\"\\nTesting dictOfLists with only x...\")\n    data_xonly_dict = {'x': np.arange(10)}\n    item_xonly_dict = PlotDataItem(data_xonly_dict)\n    print(\"dictOfLists x-only success!\")\n\nexcept Exception as e:\n    import traceback\n    traceback.print_exc()\n    exit(1)\nPY\n"
}
Result of run_command 276 characters
{
  "status": "ok",
  "stdout": "Testing recarray...\nrecarray success!\n\nTesting dictOfLists...\ndictOfLists success!\n\nTesting recarray with only x...\nrecarray x-only success!\n\nTesting dictOfLists with only x...\ndictOfLists x-only success!\n",
  "stderr": "",
  "exit_code": 0
}
Turn 13at 254 s92 tokens out11,150 prompt tokens
The fix works for both `recarray` and `dictOfLists`, and also handles cases where only one of 'x' or 'y' is present.

I should also check if there are any existing tests for `PlotDataItem.setData` that I might have broken.
TOOL CALL · run_command
{
  "command": "grep -rn \"PlotDataItem\" tests/ | grep setData | head -n 20"
}
Result of run_command 60 characters
{
  "status": "ok",
  "stdout": "",
  "stderr": "",
  "exit_code": 0
}
Turn 14at 257 s49 tokens out11,279 prompt tokens
Maybe I should just search for `setData` in `tests/`.
TOOL CALL · run_command
{
  "command": "grep -rn \"setData\" tests/ | grep PlotDataItem | head -n 20"
}
Result of run_command 710 characters
{
  "status": "ok",
  "stdout": "tests/graphicsItems/test_PlotDataItem.py:40:    pd.setData(x, y)\ntests/graphicsItems/test_PlotDataItem.py:48:def test_setData():\ntests/graphicsItems/test_PlotDataItem.py:52:    pdi.setData([])\ntests/graphicsItems/test_PlotDataItem.py:56:    pdi.setData(y)\ntests/graphicsItems/test_PlotDataItem.py:64:    pdi.setData(x, y)\ntests/graphicsItems/test_PlotDataItem.py:69:    pdi.setData()\ntests/graphicsItems/test_PlotDataItem.py:76:    pdi.setData({'x': x, 'y': y})\ntests/graphicsItems/test_PlotDataItem.py:81:    pdi.setData([],[])\ntests/graphicsItems/test_PlotDataItem.py:184:    c.setData(x=np.zeros_like(y), y=y) # test zero width data set:\n",
  "stderr": "",
  "exit_code": 0
}
Turn 15at 259 s58 tokens out11,606 prompt tokens
Let's run the tests in `tests/graphicsItems/test_PlotDataItem.py`.
TOOL CALL · run_command
{
  "command": "pytest tests/graphicsItems/test_PlotDataItem.py -q --tb=short --no-header"
}
Result of run_command 160 characters
{
  "status": "ok",
  "stdout": ".........                                                                [100%]\n9 passed in 0.25s\n",
  "stderr": "",
  "exit_code": 0
}
Turn 16at 265 s66 tokens out11,724 prompt tokens
The tests passed.

One more thing: I should check if there are any other places where `dt == 'recarray'` is used.
TOOL CALL · run_command
{
  "command": "grep -rn \"dt == 'recarray'\" pyqtgraph/graphicsItems/PlotDataItem.py"
}
Result of run_command 201 characters
{
  "status": "ok",
  "stdout": "1163:            elif dt == 'recarray' or dt == 'dictOfLists':\n1164:                names = data.dtype.names if dt == 'recarray' else data\n",
  "stderr": "",
  "exit_code": 0
}
Turn 17at 270 s44 tokens out11,875 prompt tokens
Only that one place.

I'll check if `dataType` is used anywhere else in the repository.
TOOL CALL · run_command
{
  "command": "grep -rn \"dataType(\" ."
}
Result of run_command 318 characters
{
  "status": "ok",
  "stdout": "./pyqtgraph/graphicsItems/PlotDataItem.py:1155:            dt = dataType(data)\n./pyqtgraph/graphicsItems/PlotDataItem.py:1184:            dtyp = dataType(args[0]), dataType(args[1])\n./pyqtgraph/graphicsItems/PlotDataItem.py:1800:def dataType(obj) -> str:\n",
  "stderr": "",
  "exit_code": 0
}
Turn 18at 299 s442 tokens out12,046 prompt tokens
It's only used in `PlotDataItem.py`.

I'm confident with the fix.
Final check of the code:
```python
            elif dt == 'recarray' or dt == 'dictOfLists':
                names = data.dtype.names if dt == 'recarray' else data
                if 'x' in names:
                    x = np.array(data['x'])
                if 'y' in names:
                    y = np.array(data['y'])
```
If `dt == 'recarray'`, `data` is a NumPy array with `dtype.names != None`.
`names` will be `data.dtype.names` (a tuple).
`'x' in names` is a valid way to check for the field.
`data['x']` is the valid way to access the field in a structured array.

If `dt == 'dictOfLists'`, `data` is a `dict`.
`names` will be `data`.
`'x' in names` is a valid way to check for the key.
`data['x']` is the valid way to access the value in a dict.

Looks solid.

Wait, I should probably check if `data['x']` for a recarray could also fail if it's not present.
But since I checked `'x' in names` first, it should be fine.

Wait, what if `dt == 'recarray'` but `data.dtype.names` is `None`?
`dataType` function:
```python
        if isinstance(obj, np.ndarray):
            if obj.ndim == 1:
                type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'
```
So if `dt == 'recarray'`, `obj.dtype.names` is definitely NOT `None`.

One final check on the diff and no untracked files.
TOOL CALL · run_command
{
  "command": "git status --short && git diff"
}
Result of run_command 891 characters
{
  "status": "ok",
  "stdout": " M pyqtgraph/graphicsItems/PlotDataItem.py\ndiff --git a/pyqtgraph/graphicsItems/PlotDataItem.py b/pyqtgraph/graphicsItems/PlotDataItem.py\nindex 9d7c7f8..79be936 100644\n--- a/pyqtgraph/graphicsItems/PlotDataItem.py\n+++ b/pyqtgraph/graphicsItems/PlotDataItem.py\n@@ -1161,9 +1161,10 @@ class PlotDataItem(GraphicsObject):\n                 x = data[:, 0]\n                 y = data[:, 1]\n             elif dt == 'recarray' or dt == 'dictOfLists':\n-                if 'x' in data:\n+                names = data.dtype.names if dt == 'recarray' else data\n+                if 'x' in names:\n                     x = np.array(data['x'])\n-                if 'y' in data:\n+                if 'y' in names:\n                     y = np.array(data['y'])\n             elif dt == 'listOfDicts':\n                 if 'x' in data[0]:\n",
  "stderr": "",
  "exit_code": 0
}
Turn 19at 301 s30 tokens out12,798 prompt tokens
The diff is clean. No untracked files.

I will now submit the patch.
TOOL CALL · submit_patch
Result of submit_patch 55 characters
{
  "status": "ok",
  "patch_size": 770,
  "files_changed": 1
}
Turn 20at 313 s176 tokens out12,867 prompt tokens
The task is complete.

Summary:
Fixed `TypeError: Cannot compare structured or void to non-void arrays.` when passing a NumPy recarray to `PlotDataItem.setData`. The fix involves checking the field names of the recarray using `data.dtype.names` instead of using the `in` operator directly on the array object.
Turn 21at 313 s
The issue was caused by using the `in` operator directly on a NumPy recarray (which is a structured array), leading to a `TypeError: Cannot compare structured or void to non-void arrays.` in `pyqtgraph/graphicsItems/PlotDataItem.py` during data type validation. I modified the `setData` method to correctly check for the presence of 'x' and 'y' fields by inspecting `data.dtype.names` when the data type is identified as `'recarray'`.

Model calls (not matched to turns)

Generated tokens 699 tokens · stopped: STOP
The user is reporting a `TypeError` when using a NumPy recarray to plot data in `pyqtgraph`.
The error occurs at `pyqtgraph/graphicsItems/PlotDataItem.py`, line 719, in `setData`:
`if 'x' in data: TypeError: Cannot compare structured or void to non-void arrays.`

This happens when `data` is a NumPy recarray with `dtype=[('x', float), ('y', float)]`.
In NumPy, performing `'x' in data` where `data` is a structured array (like a recarray) might not work as expected if `data` is treated as an array of records rather than a mapping-like object for its field names.

Wait, if `data` is a recarray, `data.dtype.names` would contain `('x', 'y')`.
Checking the error message: `TypeError: Cannot compare structured or void to non-void arrays.`
This usually happens when you try to use `in` on a NumPy array and NumPy tries to do element-wise comparison.
If `data` is a numpy array, `if 'x' in data` might try to check if 'x' is an element of the array. If the array has a structured dtype, this comparison fails.

Let's reproduce this.
<|channel>thought The user is reporting a `TypeError` when using a NumPy recarray to plot data in `pyqtgraph`. The error occurs at `pyqtgraph/graphicsItems/PlotDataItem.py`, line 719, in `setData`: `if 'x' in data: TypeError: Cannot compare structured or void to non-void arrays.` This happens when `data` is a NumPy recarray with `dtype=[('x', float), ('y', float)]`. In NumPy, performing `'x' in data` where `data` is a structured array (like a recarray) might not work as expected if `data` is treated as an array of records rather than a mapping-like object for its field names. Wait, if `data` is a recarray, `data.dtype.names` would contain `('x', 'y')`. Checking the error message: `TypeError: Cannot compare structured or void to non-void arrays.` This usually happens when you try to use `in` on a NumPy array and NumPy tries to do element-wise comparison. If `data` is a numpy array, `if 'x' in data` might try to check if 'x' is an element of the array. If the array has a structured dtype, this comparison fails. Let's reproduce this.<channel|>```python import numpy as np try: import pyqtgraph as pg # The issue is reported as appearing in pg.plot(data_array) # which eventually calls PlotDataItem.setData # We can just simulate the failing line in PlotDataItem.setData data_array = np.recarray((10,), dtype=[('x', float), ('y', float)]) print(f"Testing 'x' in data_array: {'x' in data_array}") except TypeError as e: print(f"Caught expected TypeError: {e}") except Exception as e: print(f"Caught unexpected exception: {type(e).__name__}: {e}") ``` Wait, I need to run this via `run_command`. I'll first try to reproduce it exactly as described. Note that I don't have a display, so `pg.plot` might fail if it tries to create a window. However, the error happens during `setData` which is called during `PlotDataItem` initialization, before any rendering. Let's try a reproduction script that doesn't require a GUI if possible, or just see if the error happens before any GUI issues. Actually, `PlotDataItem` initialization call `setData` and that's where it fails. Wait, I can just test the specific line from the traceback: `if 'x' in data:`. Let's create a repro script.<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY' import numpy as np try: data_array = np.recarray((10,), dtype=[('x', float), ('y', float)]) print(f"Checking 'x' in data_array: {'x' in data_array}") except TypeError as e: print(f"Caught expected TypeError: {e}") PY <|"|>}<tool_call|><|tool_response>
Generated tokens 222 tokens · stopped: STOP
Okay, the repro script I just ran confirmed that `'x' in data_array` raises `TypeError: Cannot compare structured or void to non-void arrays.` when `data_array` is a recarray.

Now I need to see how `pyqtgraph/graphicsItems/PlotDataItem.py` handles this and fix it.
The line is `if 'x' in data:`.

If `data` is a recarray, we should probably check `data.dtype.names` or use `hasattr(data, 'names')` or something similar.
Actually, `np.recarray` has a `dtype` attribute, and that `dtype` has a `names` attribute if it's a structured array.

Let's examine `pyqtgraph/graphicsItems/PlotDataItem.py` around line 719.
Okay, the repro script I just ran confirmed that `'x' in data_array` raises `TypeError: Cannot compare structured or void to non-void arrays.` when `data_array` is a recarray. Now I need to see how `pyqtgraph/graphicsItems/PlotDataItem.py` handles this and fix it. The line is `if 'x' in data:`. If `data` is a recarray, we should probably check `data.dtype.names` or use `hasattr(data, 'names')` or something similar. Actually, `np.recarray` has a `dtype` attribute, and that `dtype` has a `names` attribute if it's a structured array. Let's examine `pyqtgraph/graphicsItems/PlotDataItem.py` around line 719.<channel|><|tool_call>call:read_file{filepath:<|"|>pyqtgraph/graphicsItems/PlotDataItem.py<|"|>,start_line:700,end_line:740}<tool_call|><|tool_response>
Generated tokens 265 tokens · stopped: STOP
Wait, the line numbers in the issue description might be for a different version of pyqtgraph than the one in `/workspace`.
The issue says:
`File "C:\Users\_\code\.venv\lib\site-packages\pyqtgraph\graphicsItems\PlotDataItem.py", line 719, in setData`
`if 'x' in data: TypeError: Cannot compare structured or void to non-void arrays.`

In my `read_file` output, line 719 is inside `setLogMode`? No, looking at the output:
Line 700 is some alpha hint stuff.
Line 712 is `def setFftMode(self, state: bool):`.
Line 725 is `def setLogMode(self, xState: bool, yState: bool):`.

The issue reporter is using pyqtgraph 0.13.7. I should check what version I have or just search for the string `if 'x' in data:`.
Wait, the line numbers in the issue description might be for a different version of pyqtgraph than the one in `/workspace`. The issue says: `File "C:\Users\_\code\.venv\lib\site-packages\pyqtgraph\graphicsItems\PlotDataItem.py", line 719, in setData` `if 'x' in data: TypeError: Cannot compare structured or void to non-void arrays.` In my `read_file` output, line 719 is inside `setLogMode`? No, looking at the output: Line 700 is some alpha hint stuff. Line 712 is `def setFftMode(self, state: bool):`. Line 725 is `def setLogMode(self, xState: bool, yState: bool):`. The issue reporter is using pyqtgraph 0.13.7. I should check what version I have or just search for the string `if 'x' in data:`. <channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "if 'x' in data:" pyqtgraph/graphicsItems/PlotDataItem.py<|"|>}<tool_call|><|tool_response>
Generated tokens 75 tokens · stopped: STOP
Okay, it's at line 1164 in this version. Let's read the context around line 1164.
Okay, it's at line 1164 in this version. Let's read the context around line 1164. <channel|><|tool_call>call:read_file{end_line:1200,filepath:<|"|>pyqtgraph/graphicsItems/PlotDataItem.py<|"|>,start_line:1140}<tool_call|><|tool_response>
Generated tokens 207 tokens · stopped: STOP
The trouble is here:
```python
            elif dt == 'recarray' or dt == 'dictOfLists':
                if 'x' in data:
                    x = np.array(data['x'])
                if 'y' in data:
                    y = np.array(data['y'])
```
If `dt == 'recarray'`, `data` is a NumPy recarray.
As we saw, `'x' in data` raises `TypeError` for NumPy structured arrays.
For a recarray (which is a subclass of structured array), we should check the field names in `data.dtype.names`.

Wait, let's see what `dataType(data)` does. It's probably a helper function in the same file.
Let me find where `dataType` is defined.
The trouble is here: ```python elif dt == 'recarray' or dt == 'dictOfLists': if 'x' in data: x = np.array(data['x']) if 'y' in data: y = np.array(data['y']) ``` If `dt == 'recarray'`, `data` is a NumPy recarray. As we saw, `'x' in data` raises `TypeError` for NumPy structured arrays. For a recarray (which is a subclass of structured array), we should check the field names in `data.dtype.names`. Wait, let's see what `dataType(data)` does. It's probably a helper function in the same file. Let me find where `dataType` is defined. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "def dataType" pyqtgraph/graphicsItems/PlotDataItem.py<|"|>}<tool_call|><|tool_response>
Generated tokens 59 tokens · stopped: STOP
Wait, line 1798+. Let me read it.
Wait, line 1798+. Let me read it. <channel|><|tool_call>call:read_file{end_line:1839,filepath:<|"|>pyqtgraph/graphicsItems/PlotDataItem.py<|"|>,start_line:1790}<tool_call|><|tool_response>
Generated tokens 856 tokens · stopped: STOP
Okay, `dataType` returns `'recarray'` if `obj` is a `np.ndarray` with `ndim == 1` and `obj.dtype.names` is NOT `None`.

So if `dt == 'recarray'`, we know `data` is a NumPy structured array.
To check if a field 'x' exists in a structured array, we should check `data.dtype.names`.

If `dt == 'dictOfLists'`, `data` is a `dict`. For a `dict`, `'x' in data` works perfectly.

So we need to distinguish between `recarray` and `dictOfLists` when checking for 'x' and 'y'.

Currently:
```python
            elif dt == 'recarray' or dt == 'dictOfLists':
                if 'x' in data:
                    x = np.array(data['x'])
                if 'y' in data:
                    y = np.array(data['y'])
```

We can change it to:
```python
            elif dt == 'recarray':
                if data.dtype.names and 'x' in data.dtype.names:
                    x = np.array(data['x'])
                if data.dtype.names and 'y' in data.dtype.names:
                    y = np.array(data['y'])
            elif dt == 'dictOfLists':
                if 'x' in data:
                    x = np.array(data['x'])
                if 'y' in data:
                    y = np.array(data['y'])
```
Wait, if `dt == 'recarray'`, `data.dtype.names` is guaranteed to be not None according to `dataType()`:
`type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'`

So if `dt == 'recarray'`, `data.dtype.names` exists.

Also, we can combine these if we use a way to check keys for both.
Actually, for a recarray, `data.dtype.names` is a tuple of field names.
For a dict, `data.keys()` (or just `in` on the dict) works.

Wait, if I want to keep it concise:
```python
            elif dt == 'recarray' or dt == 'dictOfLists':
                names = data.dtype.names if dt == 'recarray' else data
                if 'x' in names:
                    x = np.array(data['x'])
                if 'y' in names:
                    y = np.array(data['y'])
```

Let's verify this logic.
If `dt == 'recarray'`, `names` is `data.dtype.names` (a tuple). `'x' in names` works. `data['x']` works for structured arrays too.
If `dt == 'dictOfLists'`, `names` is `data` (a dict). `'x' in names` works. `data['x']` works.

Let's double check if there are any other places this pattern is used.

Actually, I should first reproduce the failure using a script that doesn't require a GUI.
I'll try to instantiate `PlotDataItem` and call `setData` (which is called in `__init__`).

Okay, `dataType` returns `'recarray'` if `obj` is a `np.ndarray` with `ndim == 1` and `obj.dtype.names` is NOT `None`. So if `dt == 'recarray'`, we know `data` is a NumPy structured array. To check if a field 'x' exists in a structured array, we should check `data.dtype.names`. If `dt == 'dictOfLists'`, `data` is a `dict`. For a `dict`, `'x' in data` works perfectly. So we need to distinguish between `recarray` and `dictOfLists` when checking for 'x' and 'y'. Currently: ```python elif dt == 'recarray' or dt == 'dictOfLists': if 'x' in data: x = np.array(data['x']) if 'y' in data: y = np.array(data['y']) ``` We can change it to: ```python elif dt == 'recarray': if data.dtype.names and 'x' in data.dtype.names: x = np.array(data['x']) if data.dtype.names and 'y' in data.dtype.names: y = np.array(data['y']) elif dt == 'dictOfLists': if 'x' in data: x = np.array(data['x']) if 'y' in data: y = np.array(data['y']) ``` Wait, if `dt == 'recarray'`, `data.dtype.names` is guaranteed to be not None according to `dataType()`: `type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'` So if `dt == 'recarray'`, `data.dtype.names` exists. Also, we can combine these if we use a way to check keys for both. Actually, for a recarray, `data.dtype.names` is a tuple of field names. For a dict, `data.keys()` (or just `in` on the dict) works. Wait, if I want to keep it concise: ```python elif dt == 'recarray' or dt == 'dictOfLists': names = data.dtype.names if dt == 'recarray' else data if 'x' in names: x = np.array(data['x']) if 'y' in names: y = np.array(data['y']) ``` Let's verify this logic. If `dt == 'recarray'`, `names` is `data.dtype.names` (a tuple). `'x' in names` works. `data['x']` works for structured arrays too. If `dt == 'dictOfLists'`, `names` is `data` (a dict). `'x' in names` works. `data['x']` works. Let's double check if there are any other places this pattern is used. Actually, I should first reproduce the failure using a script that doesn't require a GUI. I'll try to instantiate `PlotDataItem` and call `setData` (which is called in `__init__`). <channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY' import numpy as np try: import pyqtgraph as pg from pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem data_array = np.recarray((10,), dtype=[('x', float), ('y', float)]) print("Initializing PlotDataItem with recarray...") item = PlotDataItem(data_array) print("Success!") except Exception as e: import traceback traceback.print_exc() PY <|"|>}<tool_call|><|tool_response>
Generated tokens 99 tokens · stopped: STOP
Perfectly reproduced. Now I will apply the fix.

I'll use the `names = data.dtype.names if dt == 'recarray' else data` approach for conciseness and clarity.

Wait, let me check if `PlotDataItem.py` has any other similar blocks.

Perfectly reproduced. Now I will apply the fix. I'll use the `names = data.dtype.names if dt == 'recarray' else data` approach for conciseness and clarity. Wait, let me check if `PlotDataItem.py` has any other similar blocks. <channel|><|tool_call>call:run_command{command:<|"|>grep -n "if 'x' in" pyqtgraph/graphicsItems/PlotDataItem.py<|"|>}<tool_call|><|tool_response>
Generated tokens 638 tokens · stopped: STOP
Line 1169:
```python
            elif dt == 'listOfDicts':
                if 'x' in data[0]:
                    x = np.array([d.get('x',None) for d in data])
                if 'y' in data[0]:
                    y = np.array([d.get('y',None) for d in data])
```
Here `data` is a list of dicts, and it checks `data[0]`. `data[0]` is a dict, so it's fine.

Line 1201:
```python
        if 'x' in kwargs:
            x = np.array(kwargs['x'])
```
`kwargs` is a dict, so it's fine.

So only line 1164 needs fixing.

Let's apply the fix.

```python
<<<<
            elif dt == 'recarray' or dt == 'dictOfLists':
                if 'x' in data:
                    x = np.array(data['x'])
                if 'y' in data:
                    y = np.array(data['y'])
====
            elif dt == 'recarray' or dt == 'dictOfLists':
                names = data.dtype.names if dt == 'recarray' else data
                if 'x' in names:
                    x = np.array(data['x'])
                if 'y' in names:
                    y = np.array(data['y'])
>>>>
```

Wait, one detail: if `dt == 'recarray'`, `data.dtype.names` is a tuple of field names. If it's `None`, then `dataType` would have returned `'listOfValues'`. So we can assume it's not None.

Actually, let's look at `dataType` again:
`type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'`
So yes, if `dt == 'recarray'`, `data.dtype.names` is guaranteed to be a tuple.

Let's apply the edit.
Line 1169: ```python elif dt == 'listOfDicts': if 'x' in data[0]: x = np.array([d.get('x',None) for d in data]) if 'y' in data[0]: y = np.array([d.get('y',None) for d in data]) ``` Here `data` is a list of dicts, and it checks `data[0]`. `data[0]` is a dict, so it's fine. Line 1201: ```python if 'x' in kwargs: x = np.array(kwargs['x']) ``` `kwargs` is a dict, so it's fine. So only line 1164 needs fixing. Let's apply the fix. ```python <<<< elif dt == 'recarray' or dt == 'dictOfLists': if 'x' in data: x = np.array(data['x']) if 'y' in data: y = np.array(data['y']) ==== elif dt == 'recarray' or dt == 'dictOfLists': names = data.dtype.names if dt == 'recarray' else data if 'x' in names: x = np.array(data['x']) if 'y' in names: y = np.array(data['y']) >>>> ``` Wait, one detail: if `dt == 'recarray'`, `data.dtype.names` is a tuple of field names. If it's `None`, then `dataType` would have returned `'listOfValues'`. So we can assume it's not None. Actually, let's look at `dataType` again: `type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'` So yes, if `dt == 'recarray'`, `data.dtype.names` is guaranteed to be a tuple. Let's apply the edit. <channel|><|tool_call>call:edit_file{filepath:<|"|>pyqtgraph/graphicsItems/PlotDataItem.py<|"|>,new_string:<|"|> elif dt == 'recarray' or dt == 'dictOfLists': names = data.dtype.names if dt == 'recarray' else data if 'x' in names: x = np.array(data['x']) if 'y' in names: y = np.array(data['y'])<|"|>,old_string:<|"|> elif dt == 'recarray' or dt == 'dictOfLists': if 'x' in data: x = np.array(data['x']) if 'y' in data: y = np.array(data['y'])<|"|>}<tool_call|><|tool_response>
Generated tokens 403 tokens · stopped: STOP
Now let's verify the fix with the repro script. I'll also test with `dictOfLists` to make sure I didn't break it.

Now let's verify the fix with the repro script. I'll also test with `dictOfLists` to make sure I didn't break it. <channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY' import numpy as np try: import pyqtgraph as pg from pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem # Test 1: recarray print("Testing recarray...") data_rec = np.recarray((10,), dtype=[('x', float), ('y', float)]) item_rec = PlotDataItem(data_rec) print("recarray success!") # Test 2: dictOfLists print("\nTesting dictOfLists...") data_dict = {'x': np.arange(10), 'y': np.arange(10)} item_dict = PlotDataItem(data_dict) print("dictOfLists success!") # Test 3: recarray with only x print("\nTesting recarray with only x...") data_xonly = np.recarray((10,), dtype=[('x', float)]) item_xonly = PlotDataItem(data_xonly) print("recarray x-only success!") # Test 4: dictOfLists with only x print("\nTesting dictOfLists with only x...") data_xonly_dict = {'x': np.arange(10)} item_xonly_dict = PlotDataItem(data_xonly_dict) print("dictOfLists x-only success!") except Exception as e: import traceback traceback.print_exc() exit(1) PY <|"|>}<tool_call|><|tool_response>
Generated tokens 92 tokens · stopped: STOP
The fix works for both `recarray` and `dictOfLists`, and also handles cases where only one of 'x' or 'y' is present.

I should also check if there are any existing tests for `PlotDataItem.setData` that I might have broken.

The fix works for both `recarray` and `dictOfLists`, and also handles cases where only one of 'x' or 'y' is present. I should also check if there are any existing tests for `PlotDataItem.setData` that I might have broken. <channel|><|tool_call>call:run_command{command:<|"|>grep -rn "PlotDataItem" tests/ | grep setData | head -n 20<|"|>}<tool_call|><|tool_response>
Generated tokens 49 tokens · stopped: STOP
Maybe I should just search for `setData` in `tests/`.


Maybe I should just search for `setData` in `tests/`. <channel|><|tool_call>call:run_command{command:<|"|>grep -rn "setData" tests/ | grep PlotDataItem | head -n 20<|"|>}<tool_call|><|tool_response>
Generated tokens 58 tokens · stopped: STOP
Let's run the tests in `tests/graphicsItems/test_PlotDataItem.py`.

Let's run the tests in `tests/graphicsItems/test_PlotDataItem.py`. <channel|><|tool_call>call:run_command{command:<|"|>pytest tests/graphicsItems/test_PlotDataItem.py -q --tb=short --no-header<|"|>}<tool_call|><|tool_response>
Generated tokens 66 tokens · stopped: STOP
The tests passed.

One more thing: I should check if there are any other places where `dt == 'recarray'` is used.


The tests passed. One more thing: I should check if there are any other places where `dt == 'recarray'` is used. <channel|><|tool_call>call:run_command{command:<|"|>grep -rn "dt == 'recarray'" pyqtgraph/graphicsItems/PlotDataItem.py<|"|>}<tool_call|><|tool_response>
Generated tokens 44 tokens · stopped: STOP
Only that one place.

I'll check if `dataType` is used anywhere else in the repository.
Only that one place. I'll check if `dataType` is used anywhere else in the repository.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "dataType(" .<|"|>}<tool_call|><|tool_response>
Generated tokens 442 tokens · stopped: STOP
It's only used in `PlotDataItem.py`.

I'm confident with the fix.
Final check of the code:
```python
            elif dt == 'recarray' or dt == 'dictOfLists':
                names = data.dtype.names if dt == 'recarray' else data
                if 'x' in names:
                    x = np.array(data['x'])
                if 'y' in names:
                    y = np.array(data['y'])
```
If `dt == 'recarray'`, `data` is a NumPy array with `dtype.names != None`.
`names` will be `data.dtype.names` (a tuple).
`'x' in names` is a valid way to check for the field.
`data['x']` is the valid way to access the field in a structured array.

If `dt == 'dictOfLists'`, `data` is a `dict`.
`names` will be `data`.
`'x' in names` is a valid way to check for the key.
`data['x']` is the valid way to access the value in a dict.

Looks solid.

Wait, I should probably check if `data['x']` for a recarray could also fail if it's not present.
But since I checked `'x' in names` first, it should be fine.

Wait, what if `dt == 'recarray'` but `data.dtype.names` is `None`?
`dataType` function:
```python
        if isinstance(obj, np.ndarray):
            if obj.ndim == 1:
                type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'
```
So if `dt == 'recarray'`, `obj.dtype.names` is definitely NOT `None`.

One final check on the diff and no untracked files.
It's only used in `PlotDataItem.py`. I'm confident with the fix. Final check of the code: ```python elif dt == 'recarray' or dt == 'dictOfLists': names = data.dtype.names if dt == 'recarray' else data if 'x' in names: x = np.array(data['x']) if 'y' in names: y = np.array(data['y']) ``` If `dt == 'recarray'`, `data` is a NumPy array with `dtype.names != None`. `names` will be `data.dtype.names` (a tuple). `'x' in names` is a valid way to check for the field. `data['x']` is the valid way to access the field in a structured array. If `dt == 'dictOfLists'`, `data` is a `dict`. `names` will be `data`. `'x' in names` is a valid way to check for the key. `data['x']` is the valid way to access the value in a dict. Looks solid. Wait, I should probably check if `data['x']` for a recarray could also fail if it's not present. But since I checked `'x' in names` first, it should be fine. Wait, what if `dt == 'recarray'` but `data.dtype.names` is `None`? `dataType` function: ```python if isinstance(obj, np.ndarray): if obj.ndim == 1: type_ = 'listOfValues' if obj.dtype.names is None else 'recarray' ``` So if `dt == 'recarray'`, `obj.dtype.names` is definitely NOT `None`. One final check on the diff and no untracked files. <channel|><|tool_call>call:run_command{command:<|"|>git status --short && git diff<|"|>}<tool_call|><|tool_response>
Generated tokens 30 tokens · stopped: STOP
The diff is clean. No untracked files.

I will now submit the patch.
The diff is clean. No untracked files. I will now submit the patch. <channel|><|tool_call>call:submit_patch{}<tool_call|><|tool_response>

Patch, tests and logs

Final code change Included
diff --git a/pyqtgraph/graphicsItems/PlotDataItem.py b/pyqtgraph/graphicsItems/PlotDataItem.py
index 9d7c7f8..79be936 100644
--- a/pyqtgraph/graphicsItems/PlotDataItem.py
+++ b/pyqtgraph/graphicsItems/PlotDataItem.py
@@ -1161,9 +1161,10 @@ class PlotDataItem(GraphicsObject):
                 x = data[:, 0]
                 y = data[:, 1]
             elif dt == 'recarray' or dt == 'dictOfLists':
-                if 'x' in data:
+                names = data.dtype.names if dt == 'recarray' else data
+                if 'x' in names:
                     x = np.array(data['x'])
-                if 'y' in data:
+                if 'y' in names:
                     y = np.array(data['y'])
             elif dt == 'listOfDicts':
                 if 'x' in data[0]:
Test output Included
============================= test session starts ==============================
collected 9 items

tests/graphicsItems/test_PlotDataItem.py .........                       [100%]

==================================== PASSES ====================================
- generated xml file: /tmp/rebench-grade-cc3e03e7959940ef837dd98dc43b175c.xml --
=========================== short test summary info ============================
PASSED tests/graphicsItems/test_PlotDataItem.py::test_bool
PASSED tests/graphicsItems/test_PlotDataItem.py::test_bound_formats
PASSED tests/graphicsItems/test_PlotDataItem.py::test_fft
PASSED tests/graphicsItems/test_PlotDataItem.py::test_setData
PASSED tests/graphicsItems/test_PlotDataItem.py::test_nonfinite
PASSED tests/graphicsItems/test_PlotDataItem.py::test_opts
PASSED tests/graphicsItems/test_PlotDataItem.py::test_clear
PASSED tests/graphicsItems/test_PlotDataItem.py::test_clear_in_step_mode
PASSED tests/graphicsItems/test_PlotDataItem.py::test_clipping
============================== 9 passed in 0.27s ===============================
Test errors Included
Test report (JUnit) Included
<?xml version="1.0" encoding="utf-8"?><testsuites name="pytest tests"><testsuite name="pytest" errors="0" failures="0" skipped="0" tests="9" time="0.273" timestamp="2026-11-14T04:00:15.686605+00:00" hostname="0516c33150d0"><testcase classname="tests.graphicsItems.test_PlotDataItem" name="test_bool" time="0.005" /><testcase classname="tests.graphicsItems.test_PlotDataItem" name="test_bound_formats" time="0.003" /><testcase classname="tests.graphicsItems.test_PlotDataItem" name="test_fft" time="0.004" /><testcase classname="tests.graphicsItems.test_PlotDataItem" name="test_setData" time="0.001" /><testcase classname="tests.graphicsItems.test_PlotDataItem" name="test_nonfinite" time="0.001" /><testcase classname="tests.graphicsItems.test_PlotDataItem" name="test_opts" time="0.001" /><testcase classname="tests.graphicsItems.test_PlotDataItem" name="test_clear" time="0.001" /><testcase classname="tests.graphicsItems.test_PlotDataItem" name="test_clear_in_step_mode" time="0.170" /><testcase classname="tests.graphicsItems.test_PlotDataItem" name="test_clipping" time="0.008" /></testsuite></testsuites>
Agent log Included
  [   0.0s] 📋 System Prompt: You are a principal Python software engineer resolving a repository issue in `/workspace`.
  [   0.0s] 🎯 Task Prompt: You are evaluating a software engineering task for repository pyqtgraph/pyqtgraph.
  [  50.6s] 💭 (1031 chars) "The user is reporting a `TypeError` when using a NumPy recarray to plot data in 
`pyqtgraph`.
The error occurs at `pyqtgr..."
  [  50.6s] 💬 ```python
import numpy as np
try:
    import pyqtgraph as pg
    # The issue is reported as appearing in pg.plot(data_array)
    # which eventually ca...
  [  50.6s] 🔧 run_command (8 lines) python3 - <<'PY'
  [  51.0s]   → Caught expected TypeError: Cannot compare structured or void to non-void arrays.
  [  68.6s] 💭 (612 chars) "Okay, the repro script I just ran confirmed that `'x' in data_array` raises `TypeError: 
Cannot compare structured or voi..."
  [  68.6s] 📖 read_file (pyqtgraph/graphicsItems/PlotDataItem.py)
  [  68.7s]   ✓ {'status': 'ok', 'filepath': 'pyqtgraph/graphicsItems/PlotDataItem.py', 'content': '            Receives
the ``autoAlpha…
  [  83.1s] 💭 (701 chars) "Wait, the line numbers in the issue description might be for a different version of 
pyqtgraph than the one in `/workspac..."
  [  83.1s] 🔧 run_command grep -rn --include="*.py" "if 'x' in data:" pyqtgraph/graphicsItems/PlotDataItem
  [  83.2s]   → 1164:                if 'x' in data:
  [  86.9s] 💭 (81 chars) "Okay, it's at line 1164 in this version. Let's read the context around line 1164."
  [  86.9s] 📖 read_file (pyqtgraph/graphicsItems/PlotDataItem.py)
  [  87.0s]   ✓ {'status': 'ok', 'filepath': 'pyqtgraph/graphicsItems/PlotDataItem.py', 'content': '            Raised 
when an invalid t…
  [  99.2s] 💭 (617 chars) "The trouble is here:
```python
            elif dt == 'recarray' or dt == 'dictOfLists':
                if 'x' in data:..."
  [  99.2s] 🔧 run_command grep -n "def dataType" pyqtgraph/graphicsItems/PlotDataItem.py
  [  99.3s]   → 1799:def dataType(obj) -> str:
  [ 102.3s] 💭 (33 chars) "Wait, line 1798+. Let me read it."
  [ 102.3s] 📖 read_file (pyqtgraph/graphicsItems/PlotDataItem.py)
  [ 102.3s]   ✓ {'status': 'ok', 'filepath': 'pyqtgraph/graphicsItems/PlotDataItem.py', 'content': '            x = x2\n
n = y.si…
  [ 154.3s] 💭 (2447 chars) "Okay, `dataType` returns `'recarray'` if `obj` is a `np.ndarray` with `ndim == 1` and 
`obj.dtype.names` is NOT `None`.

..."
  [ 154.3s] 🔧 run_command (13 lines) python3 - <<'PY'
  [ 154.8s]   → Initializing PlotDataItem with recarray...
  [ 161.4s] 💭 (227 chars) "Perfectly reproduced. Now I will apply the fix.

I'll use the `names = data.dtype.names if dt == 'recarray' else data` a..."
  [ 161.4s] 🔧 run_command grep -n "if 'x' in" pyqtgraph/graphicsItems/PlotDataItem.py
  [ 161.5s]   → 1164:                if 'x' in data:
  [ 202.5s] 💭 (1461 chars) "Line 1169:
```python
            elif dt == 'listOfDicts':
                if 'x' in data[0]:
                    x = np..."
  [ 202.5s] ✏️ edit_file (pyqtgraph/graphicsItems/PlotDataItem.py)
  [ 202.6s]   ✓ {'status': 'ok', 'filepath': 'pyqtgraph/graphicsItems/PlotDataItem.py', 'occurrences': 1, 'strategy': 
'exact', 'diff': "…
  [ 228.0s] 💭 (113 chars) "Now let's verify the fix with the repro script. I'll also test with `dictOfLists` to make 
sure I didn't break it."
  [ 228.0s] 🔧 run_command (35 lines) python3 - <<'PY'
  [ 228.4s]   → Testing recarray...
  [ 238.1s] 💭 (222 chars) "The fix works for both `recarray` and `dictOfLists`, and also handles cases where only one 
of 'x' or 'y' is present.

I ..."
  [ 238.1s] 🔧 run_command grep -rn "PlotDataItem" tests/ | grep setData | head -n 20
  [ 238.1s]   🔧 
  [ 240.5s] 💭 (53 chars) "Maybe I should just search for `setData` in `tests/`."
  [ 240.5s] 🔧 run_command grep -rn "setData" tests/ | grep PlotDataItem | head -n 20
  [ 240.6s]   → tests/graphicsItems/test_PlotDataItem.py:40:    pd.setData(x, y)
  [ 243.1s] 💭 (66 chars) "Let's run the tests in `tests/graphicsItems/test_PlotDataItem.py`."
  [ 243.1s] 🔧 run_command pytest tests/graphicsItems/test_PlotDataItem.py -q --tb=short --no-header
  [ 244.1s]   → .........                                                                [100%]
  [ 248.3s] 💭 (113 chars) "The tests passed.

One more thing: I should check if there are any other places where `dt == 'recarray'` is used."
  [ 248.3s] 🔧 run_command grep -rn "dt == 'recarray'" pyqtgraph/graphicsItems/PlotDataItem.py
  [ 248.3s]   → 1163:            elif dt == 'recarray' or dt == 'dictOfLists':
  [ 253.6s] 💭 (87 chars) "Only that one place.

I'll check if `dataType` is used anywhere else in the repository."
  [ 253.6s] 🔧 run_command grep -rn "dataType(" .
  [ 253.6s]   → ./pyqtgraph/graphicsItems/PlotDataItem.py:1155:            dt = dataType(data)
  [ 282.8s] 💭 (1368 chars) "It's only used in `PlotDataItem.py`.

I'm confident with the fix.
Final check of the code:
```python
            elif dt..."
  [ 282.8s] 🔧 run_command git status --short && git diff
  [ 282.9s]   →  M pyqtgraph/graphicsItems/PlotDataItem.py
  [ 284.7s] 💭 (68 chars) "The diff is clean. No untracked files.

I will now submit the patch."
  [ 284.7s] 🤖 submit_patch
  [ 284.8s]   → submit_patch: {"status": "ok", "patch_size": 770, "files_changed": 1}
  [ 296.6s] 💭 (309 chars) "The task is complete.

Summary:
Fixed `TypeError: Cannot compare structured or void to non-void arrays.` when passing a ..."
  [ 296.6s] ✅ Agent finished: The issue was caused by using the `in` operator directly on a NumPy recarray (which is a 
structured array), leading to a `TypeError: Cannot compare structured or void to non-void arrays.` in `pyqtgrap...
Native result row
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  "agent_error": null,
  "duration_seconds": 316.77,
  "error": null,
  "grade": {
    "collected_tests": 9,
    "competition_junit_ok": true,
    "error": null,
    "required_issues_count": 0,
    "resolved": true,
    "status_counts": {
      "PASSED": 9
    },
    "strict_clean_patch": true,
    "test_exit_code": 0
  },
  "instance_id": "pyqtgraph__pyqtgraph-3278",
  "pass_idx": 0,
  "patch_chars": 770,
  "phase1_seconds": 315.05,
  "repo": "pyqtgraph/pyqtgraph",
  "request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/pyqtgraph__pyqtgraph-3278__p0__r7.jsonl",
  "resolved": true,
  "rollout_idx": 7,
  "run_key": "pyqtgraph__pyqtgraph-3278__p0__r7",
  "strict_clean_patch": true,
  "tool_calls": 16,
  "total_llm_calls": 18,
  "trace_path": "/kaggle-root/working/r31/rollouts_X/traces/trace_pyqtgraph__pyqtgraph-3278__p0__r7.json"
}