ROLLOUT 6 · pyqtgraph/pyqtgraph
pyqtgraph__pyqtgraph-3278
Solved
357 stotal time
16tool calls
18model calls
4,854tokens generated
171,066prompt tokens read
No error recorded
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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 32 s507 tokens out5,093 prompt tokens
The user is reporting a `TypeError: Cannot compare structured or void to non-void arrays.` when using a NumPy record array as data to plot in `pyqtgraph`.
The traceback provided is:
```
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.
```
The issue is in `pyqtgraph/graphicsItems/PlotDataItem.py` at line 719 (or thereabouts), in the `setData` method.
The line causing the error is `if 'x' in data:`.
When `data` is a NumPy record array (a structured array), ` 'x' in data` is likely causing the `TypeError` because NumPy structured arrays don't support `in` for field names in that specific way, or rather, it's trying to compare it as a boolean mask.
Wait, for a structured array, ` 'x' in data` is not the way to check for field names. You should check `data.dtype.names`.
Let's explore the code.
TOOL CALL · run_command
{
"command": "grep -rn --include=\"*.py\" \"setData\" pyqtgraph/graphicsItems/PlotDataItem.py"
}Result of run_command 675 characters
{
"status": "ok",
"stdout": "20:# For type-hints, but cannot be utilized with setData or __init__ until\n254: * When passing `x` and `y` data to :meth:`PlotDataItem.setData`, use\n293: :meth:`ScatterPlotItem.setData <pyqtgraph.ScatterPlotItem.setData>` for more\n622: self.setData(*args, **kwargs)\n1122: def setData(\n1145: The arguments accepted by :meth:`setData` are the same used during \n1308: # - PlotDataItem performing multiple unnecessary setData calls on initialization\n1376: self.curve.setData(x=x, y=y, **curveArgs)\n1384: self.scatter.setData(x=x, y=y, **scatterArgs)\n",
"stderr": "",
"exit_code": 0
}Turn 2at 39 s96 tokens out5,832 prompt tokens
The grep results are not very helpful for finding the line number. The traceback said line 719 in `PlotDataItem.py`. Let's read `pyqtgraph/graphicsItems/PlotDataItem.py` around line 719.
TOOL CALL · read_file
{
"end_line": 750,
"filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
"start_line": 650
}Result of read_file 3,459 characters
{
"status": "ok",
"filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
"content": " -------\n str or None\n The name that represents this item in the legend.\n \"\"\"\n return self.opts.get('name')\n\n def setCurveClickable(self, state: bool, width: int | None = None):\n \"\"\"\n Set the attribute for the curve being clickable.\n\n Parameters\n ----------\n state : bool\n Set the curve to be clickable.\n width : int \n The distance tolerance margin in pixels to recognize the mouse click.\n \"\"\"\n self.curve.setClickable(state, width)\n\n def curveClickable(self) -> bool:\n \"\"\"\n Get the attribute if the curve is clickable.\n\n Returns\n -------\n bool\n Return if the curve is set to be clickable.\n \"\"\"\n return self.curve.clickable\n\n def boundingRect(self):\n return QtCore.QRectF() # let child items handle this\n\n def setPos(self, x, y):\n # super().setPos(x, y)\n GraphicsObject.setPos(self, x, y)\n # to update viewRect:\n self.viewTransformChanged()\n # to update displayed point sets, e.g. when clipping (which uses viewRect):\n self.viewRangeChanged()\n\n def setAlpha(self, alpha: float, auto: bool):\n \"\"\"\n Set the opacity of the item to the value passed in.\n\n Parameters\n ----------\n alpha : float\n Value passed to :meth:`QGraphicsItem.setOpacity`.\n auto : bool\n 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\n value, this results in a ``NaN`` value.\n\n Parameters\n ----------\n xState : bool\n Enable log mode on the x-axis.\n yState : bool\n Enable log mode on the y-axis.\n \"\"\"\n if self.opts['logMode'] == [xState, yState]:",
"start_line": 650,
"end_line": 750,
"total_lines": 1839,
"is_truncated": false
}Turn 3at 50 s192 tokens out6,884 prompt tokens
Wait, line 719 in the traceback is not matching the lines I just read. The traceback said:
```
File "C:\Users\_\code\.venv\lib\site-packages\pyqtgraph\graphicsItems\PlotDataItem.py", line 719, in setData
if 'x' in data:
```
But in the `read_file` output, line 719 is inside `setLogMode`.
Let me check the current version of the code in the workspace. The traceback might be from a different version than what is installed in the workspace.
I should search for `if 'x' in data:` in `pyqtgraph/graphicsItems/PlotDataItem.py`.
TOOL CALL · run_command
{
"command": "grep -n \"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 4at 53 s65 tokens out7,129 prompt tokens
Okay, it's on line 1164. Let's read around there.
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 5at 65 s133 tokens out7,930 prompt tokens
The code is:
```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'])
```
And it seems `dt` is determined by `dataType(data)`. Let's find `dataType` function in `PlotDataItem.py`.
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 6at 67 s46 tokens out8,115 prompt tokens
Let's read the `dataType` function.
TOOL CALL · read_file
{
"filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
"start_line": 1799
}Result of read_file 1,510 characters
{
"status": "ok",
"filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
"content": "def 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": 1799,
"end_line": 1839,
"total_lines": 1839,
"is_truncated": false
}Turn 7at 104 s574 tokens out8,626 prompt tokens
In `dataType(obj)`:
```python
if isinstance(obj, np.ndarray):\n if obj.ndim == 1:\n type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'
```
So if `obj` is a 1D numpy array and has names in `dtype`, it's typed as `'recarray'`.
Then back in `setData`:
```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'])
```
The problem is `if 'x' in data:`. When `data` is a numpy record array, `'x' in data` tries to do a membership test in the array, not in the field names. In NumPy 2.0, this might be causing a `TypeError`.
For a NumPy structured array/recarray, the correct way to check if a field exists is to check `data.dtype.names`.
Wait, `dt == 'recarray' or dt == 'dictOfLists'`.
If `dt == 'dictOfLists'`, `data` is a `dict`, so `'x' in data` works perfectly.
If `dt == 'recarray'`, `data` is a `np.ndarray` with structured dtype. `'x' in data` fails.
So we need to distinguish between `recarray` and `dictOfLists` or use a check that works for both.
If `dt == 'recarray'`, we should check `data.dtype.names`.
Let's reproduce this first.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport pyqtgraph as pg\nimport numpy as np\nimport pytest\n\ntry:\n data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])\n # We don't need the full pg.plot which requires a QApplication\n # We just want to test PlotDataItem.setData\n from pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem\n from PyQt6.QtWidgets import QApplication\n import sys\n \n app = QApplication(sys.argv)\n item = PlotDataItem()\n item.setData(data_array)\n print(\"Successfully set data with recarray\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\nPY\n"
}Result of run_command 227 characters
{
"status": "ok",
"stdout": "Caught exception: No module named 'PyQt6'\n",
"stderr": "Traceback (most recent call last):\n File \"<stdin>\", line 10, in <module>\nModuleNotFoundError: No module named 'PyQt6'\n",
"exit_code": 0
}Turn 8at 111 s70 tokens out9,289 prompt tokens
Ah, I don't know which Qt binding is installed. The problem statement mentioned `PyQt6`. Let me check what's available.
TOOL CALL · run_command
{
"command": "python3 -c \"import pyqtgraph.Qt; print(pyqtgraph.Qt.getConfigOptions())\""
}Result of run_command 433 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "Traceback (most recent call last):\n File \"<string>\", line 1, in <module>\nAttributeError: module 'pyqtgraph.Qt' has no attribute 'getConfigOptions'\n",
"details": {
"stdout": "",
"stderr": "Traceback (most recent call last):\n File \"<string>\", line 1, in <module>\nAttributeError: module 'pyqtgraph.Qt' has no attribute 'getConfigOptions'\n",
"exit_code": 1
}
}Turn 9at 118 s93 tokens out9,504 prompt tokens
Let me just try to see which Qt library is present.
TOOL CALL · run_command
{
"command": "python3 -c \"import PyQt6; print('PyQt6')\" || python3 -c \"import PySide6; print('PySide6')\" || python3 -c \"import PyQt5; print('PyQt5')\" || python3 -c \"import PySide2; print('PySide2')\""
}Result of run_command 317 characters
{
"status": "ok",
"stdout": "PyQt5\n",
"stderr": "Traceback (most recent call last):\n File \"<string>\", line 1, in <module>\nModuleNotFoundError: No module named 'PyQt6'\nTraceback (most recent call last):\n File \"<string>\", line 1, in <module>\nModuleNotFoundError: No module named 'PySide6'\n",
"exit_code": 0
}Turn 10at 123 s182 tokens out9,715 prompt tokens
It's `PyQt5`. Now let me reproduce. I'll use `PyQt5`.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport pyqtgraph as pg\nimport numpy as np\nimport sys\nfrom PyQt5.QtWidgets import QApplication\nfrom pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem\n\napp = QApplication(sys.argv)\n\ntry:\n data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])\n item = PlotDataItem()\n item.setData(data_array)\n print(\"Successfully set data with recarray\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\nPY\n"
}Result of run_command 2,191 characters
{
"status": "error",
"error_type": "CommandError",
"error_message": "qt.qpa.xcb: could not connect to display \nqt.qpa.plugin: Could not load the Qt platform plugin \"xcb\" in \"\" even though it was found.\nThis application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.\n\nAvailable platform plugins are: eglfs, linuxfb, minimal, minimalegl, offscreen, vnc, wayland-egl, wayland, wayland-xcomposite-egl, wayland-xcomposite-glx, webgl, xcb.\n\n/bin/bash: line 19: 275 Aborted (core dumped) python3 - <<'PY'\nimport pyqtgraph as pg\nimport numpy as np\nimport sys\nfrom PyQt5.QtWidgets import QApplication\nfrom pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem\n\napp = QApplication(sys.argv)\n\ntry:\n data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])\n item = PlotDataItem()\n item.setData(data_array)\n print(\"Successfully set data with recarray\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\nPY\n\n",
"details": {
"stdout": "",
"stderr": "qt.qpa.xcb: could not connect to display \nqt.qpa.plugin: Could not load the Qt platform plugin \"xcb\" in \"\" even though it was found.\nThis application failed to start because no Qt platform plugin could be initialized. Reinstalling the application may fix this problem.\n\nAvailable platform plugins are: eglfs, linuxfb, minimal, minimalegl, offscreen, vnc, wayland-egl, wayland, wayland-xcomposite-egl, wayland-xcomposite-glx, webgl, xcb.\n\n/bin/bash: line 19: 275 Aborted (core dumped) python3 - <<'PY'\nimport pyqtgraph as pg\nimport numpy as np\nimport sys\nfrom PyQt5.QtWidgets import QApplication\nfrom pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem\n\napp = QApplication(sys.argv)\n\ntry:\n data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])\n item = PlotDataItem()\n item.setData(data_array)\n print(\"Successfully set data with recarray\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\nPY\n\n",
"exit_code": 134
}
}Turn 11at 132 s200 tokens out10,582 prompt tokens
I need to set the Qt platform to `offscreen` to run in a headless environment.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport os\nos.environ['QT_QPA_PLATFORM'] = 'offscreen'\nimport pyqtgraph as pg\nimport numpy as np\nimport sys\nfrom PyQt5.QtWidgets import QApplication\nfrom pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem\n\napp = QApplication(sys.argv)\n\ntry:\n data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])\n item = PlotDataItem()\n item.setData(data_array)\n print(\"Successfully set data with recarray\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\nPY\n"
}Result of run_command 460 characters
{
"status": "ok",
"stdout": "Caught exception: Cannot compare structured or void to non-void arrays.\n",
"stderr": "QStandardPaths: XDG_RUNTIME_DIR not set, defaulting to '/tmp/runtime-root'\nTraceback (most recent call last):\n File \"<stdin>\", line 14, in <module>\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 12at 233 s1,597 tokens out10,937 prompt tokens
Perfect, the bug is reproduced.
The offending lines are:
```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'])
```
Since `dt` can be either `'recarray'` or `'dictOfLists'`, we need a check that works for both.
If `dt == 'recarray'`, `data` is a numpy array. We should check if `'x'` is in `data.dtype.names`.
If `dt == 'dictOfLists'`, `data` is a dict. We should check if `'x'` is in `data`.
We can check if `data` is a dict first.
Actually, we can just split the `elif` into two.
```python
elif dt == 'recarray':
if data.dtype.names is not None and 'x' in data.dtype.names:
x = np.array(data['x'])
if data.dtype.names is not None 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` will not be `None` because that's how `dataType` determined it was a `recarray`.
```python
def dataType(obj) -> str:
...
elif np.iterable(obj):
first = obj[0]
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 guaranteed to be not `None`.
But we can make it more elegant.
```python
elif dt == 'recarray':
if 'x' in data.dtype.names:
x = np.array(data['x'])
if '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, is there a more compact way?
`data` for `dictOfLists` is a dict.
`data` for `recarray` is a numpy array.
We could use:
```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 check if `data.dtype.names` is Always a tuple. Yes, it is if not `None`.
Let's see if this handles the cases.
If `dt == 'recarray'`, `names` is `data.dtype.names` (a tuple). `'x' in names` works. `data['x']` on a recarray works.
If `dt == 'dictOfLists'`, `names` is `data` (a dict). `'x' in names` works. `data['x']` on a dict works.
This looks clean.
Let's double check the `dataType` function again.
```python
elif np.iterable(obj):
first = obj[0]
if isinstance(obj, np.ndarray):
if obj.ndim == 1:
type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'
```
If `obj` is a numpy array, `obj.ndim == 1`, and `obj.dtype.names` is not `None`, then `type_ = 'recarray'`.
Wait, what if `data` is a numpy array but not 1D?
`dataType` handles that:
```python
elif obj.ndim == 2 and obj.dtype.names is None and obj.shape[1] == 2:
type_ = 'Nx2array'
else:
raise ValueError(
f'array shape must be (N,) or (N,2); got {str(obj.shape)} instead'
)
```
Wait, if `obj.ndim == 2` and `obj.dtype.names` IS NOT `None`, it will raise `ValueError`.
So `recarray` is only for 1D structured arrays.
Now let's consider the `setData` code again.
```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'])
```
I want to change it to:
```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'])
```
Wait, what if `data` is a `np.recarray` but doesn't have `'x'` or `'y'`? It should just continue. `names` would be the tuple of field names, `'x' in names` would be `False`. Everything works.
Let's verify if `np.array(data['x'])` is the best way to get the data.
If `data` is a `np.recarray`, `data['x']` returns a numpy array. `np.array(...)` on it is redundant but harmless.
If `data` is a `dict`, `data['x']` returns whatever is there. `np.array(...)` makes it a numpy array.
One more thing: `listOfDicts` case.
```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])
```
This is handled separately, so it's fine.
Is there any other place where `recarray` is used?
I should check for `recarray` in the whole repository.
TOOL CALL · run_command
{
"command": "grep -rn \"recarray\" pyqtgraph/"
}Result of run_command 418 characters
{
"status": "ok",
"stdout": "pyqtgraph/graphicsItems/PlotDataItem.py:275: * ``PlotDataItem(recarray)`` - :class:`numpy.recarray` record array with\npyqtgraph/graphicsItems/PlotDataItem.py:1163: elif dt == 'recarray' or dt == 'dictOfLists':\npyqtgraph/graphicsItems/PlotDataItem.py:1809: type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'\n",
"stderr": "",
"exit_code": 0
}Turn 13at 245 s218 tokens out12,684 prompt tokens
It seems it's only in `PlotDataItem.py`. Wait, let's look at `PlotDataItem.setData` again. Is there anything else? I'll apply the fix now.
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 14at 270 s604 tokens out13,160 prompt tokens
Now let's verify the fix with the reproduction script.
TOOL CALL · run_command
{
"command": "python3 - <<'PY'\nimport os\nos.environ['QT_QPA_PLATFORM'] = 'offscreen'\nimport pyqtgraph as pg\nimport numpy as np\nimport sys\nfrom PyQt5.QtWidgets import QApplication\nfrom pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem\n\napp = QApplication(sys.argv)\n\nprint(\"Testing recarray with x and y...\")\ntry:\n data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])\n item = PlotDataItem()\n item.setData(data_array)\n print(\"Successfully set data with recarray (x, y)\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\n\nprint(\"\\nTesting recarray with only x...\")\ntry:\n data_array = np.recarray((10,), dtype=[('x', float)])\n item = PlotDataItem()\n item.setData(data_array)\n print(\"Successfully set data with recarray (x)\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\n\nprint(\"\\nTesting recarray with only y...\")\ntry:\n data_array = np.recarray((10,), dtype=[('y', float)])\n item = PlotDataItem()\n item.setData(data_array)\n print(\"Successfully set data with recarray (y)\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\n\nprint(\"\\nTesting recarray with neither x nor y...\")\ntry:\n data_array = np.recarray((10,), dtype=[('z', float)])\n item = PlotDataItem()\n item.setData(data_array)\n print(\"Successfully set data with recarray (z)\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\n\nprint(\"\\nTesting dictOfLists with x and y...\")\ntry:\n data_dict = {'x': np.arange(10), 'y': np.arange(10)}\n item = PlotDataItem()\n item.setData(data_dict)\n print(\"Successfully set data with dictOfLists (x, y)\")\nexcept Exception as e:\n print(f\"Caught exception: {e}\")\n import traceback\n traceback.print_exc()\nPY\n"
}Result of run_command 537 characters
{
"status": "ok",
"stdout": "Testing recarray with x and y...\nSuccessfully set data with recarray (x, y)\n\nTesting recarray with only x...\nSuccessfully set data with recarray (x)\n\nTesting recarray with only y...\nSuccessfully set data with recarray (y)\n\nTesting recarray with neither x nor y...\nSuccessfully set data with recarray (z)\n\nTesting dictOfLists with x and y...\nSuccessfully set data with dictOfLists (x, y)\n",
"stderr": "QStandardPaths: XDG_RUNTIME_DIR not set, defaulting to '/tmp/runtime-root'\n",
"exit_code": 0
}Turn 15at 280 s93 tokens out13,934 prompt tokens
All tests passed! Now I'll just do a quick check if there are any other places where I should have applied similar logic. The grep only showed 3 occurrences of `recarray`, and we've seen all of them. I'll check for `dictOfLists` just in case.
TOOL CALL · run_command
{
"command": "grep -rn \"dictOfLists\" pyqtgraph/"
}Result of run_command 240 characters
{
"status": "ok",
"stdout": "pyqtgraph/graphicsItems/PlotDataItem.py:1163: elif dt == 'recarray' or dt == 'dictOfLists':\npyqtgraph/graphicsItems/PlotDataItem.py:1805: type_ = 'dictOfLists'\n",
"stderr": "",
"exit_code": 0
}Turn 16at 285 s56 tokens out14,126 prompt tokens
It's only in those two places too. I'm confident in this fix. One final check: `git status --short && git diff`.
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 17at 289 s39 tokens out14,492 prompt tokens
The diff is exactly what I want. No untracked files. No modifications to tests. I'm ready to submit.
TOOL CALL · submit_patch
Result of submit_patch 55 characters
{
"status": "ok",
"patch_size": 770,
"files_changed": 1
}Turn 18at 353 s89 tokens out3,034 prompt tokens
Everything is complete.
Turn 19at 353 s
The issue was caused by a `TypeError` in NumPy 2.0 when performing a membership check (`'x' in data`) on a NumPy record array in `pyqtgraph/graphicsItems/PlotDataItem.py`. The fix introduces a `names` variable that uses `data.dtype.names` for record arrays, ensuring membership checks are performed on the field names rather than the array elements.
Model calls (not matched to turns)
Generated tokens 507 tokens · stopped: STOP
The user is reporting a `TypeError: Cannot compare structured or void to non-void arrays.` when using a NumPy record array as data to plot in `pyqtgraph`.
The traceback provided is:
```
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.
```
The issue is in `pyqtgraph/graphicsItems/PlotDataItem.py` at line 719 (or thereabouts), in the `setData` method.
The line causing the error is `if 'x' in data:`.
When `data` is a NumPy record array (a structured array), ` 'x' in data` is likely causing the `TypeError` because NumPy structured arrays don't support `in` for field names in that specific way, or rather, it's trying to compare it as a boolean mask.
Wait, for a structured array, ` 'x' in data` is not the way to check for field names. You should check `data.dtype.names`.
Let's explore the code.<|channel>thought
The user is reporting a `TypeError: Cannot compare structured or void to non-void arrays.` when using a NumPy record array as data to plot in `pyqtgraph`.
The traceback provided is:
```
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.
```
The issue is in `pyqtgraph/graphicsItems/PlotDataItem.py` at line 719 (or thereabouts), in the `setData` method.
The line causing the error is `if 'x' in data:`.
When `data` is a NumPy record array (a structured array), ` 'x' in data` is likely causing the `TypeError` because NumPy structured arrays don't support `in` for field names in that specific way, or rather, it's trying to compare it as a boolean mask.
Wait, for a structured array, ` 'x' in data` is not the way to check for field names. You should check `data.dtype.names`.
Let's explore the code.<channel|><|tool_call>call:run_command{command:<|"|>grep -rn --include="*.py" "setData" pyqtgraph/graphicsItems/PlotDataItem.py<|"|>}<tool_call|><|tool_response>
Generated tokens 96 tokens · stopped: STOP
The grep results are not very helpful for finding the line number. The traceback said line 719 in `PlotDataItem.py`. Let's read `pyqtgraph/graphicsItems/PlotDataItem.py` around line 719.
The grep results are not very helpful for finding the line number. The traceback said line 719 in `PlotDataItem.py`.
Let's read `pyqtgraph/graphicsItems/PlotDataItem.py` around line 719.
<channel|><|tool_call>call:read_file{filepath:<|"|>pyqtgraph/graphicsItems/PlotDataItem.py<|"|>,start_line:650,end_line:750}<tool_call|><|tool_response>
Generated tokens 192 tokens · stopped: STOP
Wait, line 719 in the traceback is not matching the lines I just read. The traceback said:
```
File "C:\Users\_\code\.venv\lib\site-packages\pyqtgraph\graphicsItems\PlotDataItem.py", line 719, in setData
if 'x' in data:
```
But in the `read_file` output, line 719 is inside `setLogMode`.
Let me check the current version of the code in the workspace. The traceback might be from a different version than what is installed in the workspace.
I should search for `if 'x' in data:` in `pyqtgraph/graphicsItems/PlotDataItem.py`.Wait, line 719 in the traceback is not matching the lines I just read. The traceback said:
```
File "C:\Users\_\code\.venv\lib\site-packages\pyqtgraph\graphicsItems\PlotDataItem.py", line 719, in setData
if 'x' in data:
```
But in the `read_file` output, line 719 is inside `setLogMode`.
Let me check the current version of the code in the workspace. The traceback might be from a different version than what is installed in the workspace.
I should search for `if 'x' in data:` in `pyqtgraph/graphicsItems/PlotDataItem.py`.<channel|><|tool_call>call:run_command{command:<|"|>grep -n "if 'x' in data:" pyqtgraph/graphicsItems/PlotDataItem.py<|"|>}<tool_call|><|tool_response>
Generated tokens 65 tokens · stopped: STOP
Okay, it's on line 1164. Let's read around there.
Okay, it's on line 1164. Let's read around there.
<channel|><|tool_call>call:read_file{end_line:1200,filepath:<|"|>pyqtgraph/graphicsItems/PlotDataItem.py<|"|>,start_line:1140}<tool_call|><|tool_response>
Generated tokens 133 tokens · stopped: STOP
The code is:
```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'])
```
And it seems `dt` is determined by `dataType(data)`. Let's find `dataType` function in `PlotDataItem.py`.
The code is:
```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'])
```
And it seems `dt` is determined by `dataType(data)`. Let's find `dataType` function in `PlotDataItem.py`.
<channel|><|tool_call>call:run_command{command:<|"|>grep -n "def dataType" pyqtgraph/graphicsItems/PlotDataItem.py<|"|>}<tool_call|><|tool_response>
Generated tokens 46 tokens · stopped: STOP
Let's read the `dataType` function.
Let's read the `dataType` function.
<channel|><|tool_call>call:read_file{filepath:<|"|>pyqtgraph/graphicsItems/PlotDataItem.py<|"|>,start_line:1799}<tool_call|><|tool_response>
Generated tokens 574 tokens · stopped: STOP
In `dataType(obj)`:
```python
if isinstance(obj, np.ndarray):\n if obj.ndim == 1:\n type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'
```
So if `obj` is a 1D numpy array and has names in `dtype`, it's typed as `'recarray'`.
Then back in `setData`:
```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'])
```
The problem is `if 'x' in data:`. When `data` is a numpy record array, `'x' in data` tries to do a membership test in the array, not in the field names. In NumPy 2.0, this might be causing a `TypeError`.
For a NumPy structured array/recarray, the correct way to check if a field exists is to check `data.dtype.names`.
Wait, `dt == 'recarray' or dt == 'dictOfLists'`.
If `dt == 'dictOfLists'`, `data` is a `dict`, so `'x' in data` works perfectly.
If `dt == 'recarray'`, `data` is a `np.ndarray` with structured dtype. `'x' in data` fails.
So we need to distinguish between `recarray` and `dictOfLists` or use a check that works for both.
If `dt == 'recarray'`, we should check `data.dtype.names`.
Let's reproduce this first.
In `dataType(obj)`:
```python
if isinstance(obj, np.ndarray):\n if obj.ndim == 1:\n type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'
```
So if `obj` is a 1D numpy array and has names in `dtype`, it's typed as `'recarray'`.
Then back in `setData`:
```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'])
```
The problem is `if 'x' in data:`. When `data` is a numpy record array, `'x' in data` tries to do a membership test in the array, not in the field names. In NumPy 2.0, this might be causing a `TypeError`.
For a NumPy structured array/recarray, the correct way to check if a field exists is to check `data.dtype.names`.
Wait, `dt == 'recarray' or dt == 'dictOfLists'`.
If `dt == 'dictOfLists'`, `data` is a `dict`, so `'x' in data` works perfectly.
If `dt == 'recarray'`, `data` is a `np.ndarray` with structured dtype. `'x' in data` fails.
So we need to distinguish between `recarray` and `dictOfLists` or use a check that works for both.
If `dt == 'recarray'`, we should check `data.dtype.names`.
Let's reproduce this first.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import pyqtgraph as pg
import numpy as np
import pytest
try:
data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])
# We don't need the full pg.plot which requires a QApplication
# We just want to test PlotDataItem.setData
from pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem
from PyQt6.QtWidgets import QApplication
import sys
app = QApplication(sys.argv)
item = PlotDataItem()
item.setData(data_array)
print("Successfully set data with recarray")
except Exception as e:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 70 tokens · stopped: STOP
Ah, I don't know which Qt binding is installed. The problem statement mentioned `PyQt6`. Let me check what's available.
Ah, I don't know which Qt binding is installed. The problem statement mentioned `PyQt6`. Let me check what's available.
<channel|><|tool_call>call:run_command{command:<|"|>python3 -c "import pyqtgraph.Qt; print(pyqtgraph.Qt.getConfigOptions())"<|"|>}<tool_call|><|tool_response>
Generated tokens 93 tokens · stopped: STOP
Let me just try to see which Qt library is present.
Let me just try to see which Qt library is present.
<channel|><|tool_call>call:run_command{command:<|"|>python3 -c "import PyQt6; print('PyQt6')" || python3 -c "import PySide6; print('PySide6')" || python3 -c "import PyQt5; print('PyQt5')" || python3 -c "import PySide2; print('PySide2')"<|"|>}<tool_call|><|tool_response>
Generated tokens 182 tokens · stopped: STOP
It's `PyQt5`. Now let me reproduce. I'll use `PyQt5`.
It's `PyQt5`. Now let me reproduce. I'll use `PyQt5`.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import pyqtgraph as pg
import numpy as np
import sys
from PyQt5.QtWidgets import QApplication
from pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem
app = QApplication(sys.argv)
try:
data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])
item = PlotDataItem()
item.setData(data_array)
print("Successfully set data with recarray")
except Exception as e:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 200 tokens · stopped: STOP
I need to set the Qt platform to `offscreen` to run in a headless environment.
I need to set the Qt platform to `offscreen` to run in a headless environment.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import os
os.environ['QT_QPA_PLATFORM'] = 'offscreen'
import pyqtgraph as pg
import numpy as np
import sys
from PyQt5.QtWidgets import QApplication
from pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem
app = QApplication(sys.argv)
try:
data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])
item = PlotDataItem()
item.setData(data_array)
print("Successfully set data with recarray")
except Exception as e:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 1,597 tokens · stopped: STOP
Perfect, the bug is reproduced.
The offending lines are:
```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'])
```
Since `dt` can be either `'recarray'` or `'dictOfLists'`, we need a check that works for both.
If `dt == 'recarray'`, `data` is a numpy array. We should check if `'x'` is in `data.dtype.names`.
If `dt == 'dictOfLists'`, `data` is a dict. We should check if `'x'` is in `data`.
We can check if `data` is a dict first.
Actually, we can just split the `elif` into two.
```python
elif dt == 'recarray':
if data.dtype.names is not None and 'x' in data.dtype.names:
x = np.array(data['x'])
if data.dtype.names is not None 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` will not be `None` because that's how `dataType` determined it was a `recarray`.
```python
def dataType(obj) -> str:
...
elif np.iterable(obj):
first = obj[0]
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 guaranteed to be not `None`.
But we can make it more elegant.
```python
elif dt == 'recarray':
if 'x' in data.dtype.names:
x = np.array(data['x'])
if '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, is there a more compact way?
`data` for `dictOfLists` is a dict.
`data` for `recarray` is a numpy array.
We could use:
```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 check if `data.dtype.names` is Always a tuple. Yes, it is if not `None`.
Let's see if this handles the cases.
If `dt == 'recarray'`, `names` is `data.dtype.names` (a tuple). `'x' in names` works. `data['x']` on a recarray works.
If `dt == 'dictOfLists'`, `names` is `data` (a dict). `'x' in names` works. `data['x']` on a dict works.
This looks clean.
Let's double check the `dataType` function again.
```python
elif np.iterable(obj):
first = obj[0]
if isinstance(obj, np.ndarray):
if obj.ndim == 1:
type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'
```
If `obj` is a numpy array, `obj.ndim == 1`, and `obj.dtype.names` is not `None`, then `type_ = 'recarray'`.
Wait, what if `data` is a numpy array but not 1D?
`dataType` handles that:
```python
elif obj.ndim == 2 and obj.dtype.names is None and obj.shape[1] == 2:
type_ = 'Nx2array'
else:
raise ValueError(
f'array shape must be (N,) or (N,2); got {str(obj.shape)} instead'
)
```
Wait, if `obj.ndim == 2` and `obj.dtype.names` IS NOT `None`, it will raise `ValueError`.
So `recarray` is only for 1D structured arrays.
Now let's consider the `setData` code again.
```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'])
```
I want to change it to:
```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'])
```
Wait, what if `data` is a `np.recarray` but doesn't have `'x'` or `'y'`? It should just continue. `names` would be the tuple of field names, `'x' in names` would be `False`. Everything works.
Let's verify if `np.array(data['x'])` is the best way to get the data.
If `data` is a `np.recarray`, `data['x']` returns a numpy array. `np.array(...)` on it is redundant but harmless.
If `data` is a `dict`, `data['x']` returns whatever is there. `np.array(...)` makes it a numpy array.
One more thing: `listOfDicts` case.
```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])
```
This is handled separately, so it's fine.
Is there any other place where `recarray` is used?
I should check for `recarray` in the whole repository.
Perfect, the bug is reproduced.
The offending lines are:
```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'])
```
Since `dt` can be either `'recarray'` or `'dictOfLists'`, we need a check that works for both.
If `dt == 'recarray'`, `data` is a numpy array. We should check if `'x'` is in `data.dtype.names`.
If `dt == 'dictOfLists'`, `data` is a dict. We should check if `'x'` is in `data`.
We can check if `data` is a dict first.
Actually, we can just split the `elif` into two.
```python
elif dt == 'recarray':
if data.dtype.names is not None and 'x' in data.dtype.names:
x = np.array(data['x'])
if data.dtype.names is not None 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` will not be `None` because that's how `dataType` determined it was a `recarray`.
```python
def dataType(obj) -> str:
...
elif np.iterable(obj):
first = obj[0]
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 guaranteed to be not `None`.
But we can make it more elegant.
```python
elif dt == 'recarray':
if 'x' in data.dtype.names:
x = np.array(data['x'])
if '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, is there a more compact way?
`data` for `dictOfLists` is a dict.
`data` for `recarray` is a numpy array.
We could use:
```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 check if `data.dtype.names` is Always a tuple. Yes, it is if not `None`.
Let's see if this handles the cases.
If `dt == 'recarray'`, `names` is `data.dtype.names` (a tuple). `'x' in names` works. `data['x']` on a recarray works.
If `dt == 'dictOfLists'`, `names` is `data` (a dict). `'x' in names` works. `data['x']` on a dict works.
This looks clean.
Let's double check the `dataType` function again.
```python
elif np.iterable(obj):
first = obj[0]
if isinstance(obj, np.ndarray):
if obj.ndim == 1:
type_ = 'listOfValues' if obj.dtype.names is None else 'recarray'
```
If `obj` is a numpy array, `obj.ndim == 1`, and `obj.dtype.names` is not `None`, then `type_ = 'recarray'`.
Wait, what if `data` is a numpy array but not 1D?
`dataType` handles that:
```python
elif obj.ndim == 2 and obj.dtype.names is None and obj.shape[1] == 2:
type_ = 'Nx2array'
else:
raise ValueError(
f'array shape must be (N,) or (N,2); got {str(obj.shape)} instead'
)
```
Wait, if `obj.ndim == 2` and `obj.dtype.names` IS NOT `None`, it will raise `ValueError`.
So `recarray` is only for 1D structured arrays.
Now let's consider the `setData` code again.
```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'])
```
I want to change it to:
```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'])
```
Wait, what if `data` is a `np.recarray` but doesn't have `'x'` or `'y'`? It should just continue. `names` would be the tuple of field names, `'x' in names` would be `False`. Everything works.
Let's verify if `np.array(data['x'])` is the best way to get the data.
If `data` is a `np.recarray`, `data['x']` returns a numpy array. `np.array(...)` on it is redundant but harmless.
If `data` is a `dict`, `data['x']` returns whatever is there. `np.array(...)` makes it a numpy array.
One more thing: `listOfDicts` case.
```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])
```
This is handled separately, so it's fine.
Is there any other place where `recarray` is used?
I should check for `recarray` in the whole repository.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "recarray" pyqtgraph/<|"|>}<tool_call|><|tool_response>
Generated tokens 218 tokens · stopped: STOP
It seems it's only in `PlotDataItem.py`. Wait, let's look at `PlotDataItem.setData` again. Is there anything else? I'll apply the fix now.
It seems it's only in `PlotDataItem.py`.
Wait, let's look at `PlotDataItem.setData` again. Is there anything else?
I'll apply the fix now.
<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 604 tokens · stopped: STOP
Now let's verify the fix with the reproduction script.
Now let's verify the fix with the reproduction script.
<channel|><|tool_call>call:run_command{command:<|"|>python3 - <<'PY'
import os
os.environ['QT_QPA_PLATFORM'] = 'offscreen'
import pyqtgraph as pg
import numpy as np
import sys
from PyQt5.QtWidgets import QApplication
from pyqtgraph.graphicsItems.PlotDataItem import PlotDataItem
app = QApplication(sys.argv)
print("Testing recarray with x and y...")
try:
data_array = np.recarray((10,), dtype=[('x', float), ('y', float)])
item = PlotDataItem()
item.setData(data_array)
print("Successfully set data with recarray (x, y)")
except Exception as e:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
print("\nTesting recarray with only x...")
try:
data_array = np.recarray((10,), dtype=[('x', float)])
item = PlotDataItem()
item.setData(data_array)
print("Successfully set data with recarray (x)")
except Exception as e:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
print("\nTesting recarray with only y...")
try:
data_array = np.recarray((10,), dtype=[('y', float)])
item = PlotDataItem()
item.setData(data_array)
print("Successfully set data with recarray (y)")
except Exception as e:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
print("\nTesting recarray with neither x nor y...")
try:
data_array = np.recarray((10,), dtype=[('z', float)])
item = PlotDataItem()
item.setData(data_array)
print("Successfully set data with recarray (z)")
except Exception as e:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
print("\nTesting dictOfLists with x and y...")
try:
data_dict = {'x': np.arange(10), 'y': np.arange(10)}
item = PlotDataItem()
item.setData(data_dict)
print("Successfully set data with dictOfLists (x, y)")
except Exception as e:
print(f"Caught exception: {e}")
import traceback
traceback.print_exc()
PY
<|"|>}<tool_call|><|tool_response>
Generated tokens 93 tokens · stopped: STOP
All tests passed! Now I'll just do a quick check if there are any other places where I should have applied similar logic. The grep only showed 3 occurrences of `recarray`, and we've seen all of them. I'll check for `dictOfLists` just in case.
All tests passed!
Now I'll just do a quick check if there are any other places where I should have applied similar logic.
The grep only showed 3 occurrences of `recarray`, and we've seen all of them.
I'll check for `dictOfLists` just in case.
<channel|><|tool_call>call:run_command{command:<|"|>grep -rn "dictOfLists" pyqtgraph/<|"|>}<tool_call|><|tool_response>
Generated tokens 56 tokens · stopped: STOP
It's only in those two places too. I'm confident in this fix. One final check: `git status --short && git diff`.
It's only in those two places too.
I'm confident in this fix.
One final check: `git status --short && git diff`.
<channel|><|tool_call>call:run_command{command:<|"|>git status --short && git diff<|"|>}<tool_call|><|tool_response>
Generated tokens 39 tokens · stopped: STOP
The diff is exactly what I want. No untracked files. No modifications to tests. I'm ready to submit.
The diff is exactly what I want.
No untracked files.
No modifications to tests.
I'm ready to submit.<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-96d39643f6f94d7ba487d4a6702e8055.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="0.274" timestamp="2026-11-14T04:00:46.446266+00:00" hostname="705aaa2d5e86"><testcase classname="tests.graphicsItems.test_PlotDataItem" name="test_bool" time="0.024" /><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="0.169" /><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.
[ 21.9s] 💭 (1490 chars) "The user is reporting a `TypeError: Cannot compare structured or void to non-void arrays.`
when using a NumPy record arr..."
[ 21.9s] 🔧 run_command grep -rn --include="*.py" "setData" pyqtgraph/graphicsItems/PlotDataItem.py
[ 21.9s] → 20:# For type-hints, but cannot be utilized with setData or __init__ until
[ 28.7s] 💭 (187 chars) "The grep results are not very helpful for finding the line number. The traceback said line
719 in `PlotDataItem.py`.
Le..."
[ 28.7s] 📖 read_file (pyqtgraph/graphicsItems/PlotDataItem.py)
[ 28.8s] ✓ {'status': 'ok', 'filepath': 'pyqtgraph/graphicsItems/PlotDataItem.py', 'content': ' -------\n
str or None…
[ 39.6s] 💭 (532 chars) "Wait, line 719 in the traceback is not matching the lines I just read. The traceback said:
```
File "C:\Users\_\code\...."
[ 39.6s] 🔧 run_command grep -n "if 'x' in data:" pyqtgraph/graphicsItems/PlotDataItem.py
[ 39.6s] → 1164: if 'x' in data:
[ 42.7s] 💭 (49 chars) "Okay, it's on line 1164. Let's read around there."
[ 42.7s] 📖 read_file (pyqtgraph/graphicsItems/PlotDataItem.py)
[ 42.8s] ✓ {'status': 'ok', 'filepath': 'pyqtgraph/graphicsItems/PlotDataItem.py', 'content': ' Raised
when an invalid t…
[ 54.9s] 💭 (342 chars) "The code is:
```python
elif dt == 'recarray' or dt == 'dictOfLists':
if 'x' in data:
..."
[ 54.9s] 🔧 run_command grep -n "def dataType" pyqtgraph/graphicsItems/PlotDataItem.py
[ 55.0s] → 1799:def dataType(obj) -> str:
[ 57.1s] 💭 (35 chars) "Let's read the `dataType` function."
[ 57.1s] 📖 read_file (pyqtgraph/graphicsItems/PlotDataItem.py)
[ 57.2s] ✓ {'status': 'ok', 'filepath': 'pyqtgraph/graphicsItems/PlotDataItem.py', 'content': 'def dataType(obj) ->
str:\n type_…
[ 94.3s] 💭 (1253 chars) "In `dataType(obj)`:
```python
if isinstance(obj, np.ndarray):\n if obj.ndim == 1:\n ty..."
[ 94.3s] 🔧 run_command (22 lines) python3 - <<'PY'
[ 95.2s] → Caught exception: No module named 'PyQt6'
[ 101.1s] 💭 (119 chars) "Ah, I don't know which Qt binding is installed. The problem statement mentioned `PyQt6`. Let
me check what's available."
[ 101.1s] 🔧 run_command python3 -c "import pyqtgraph.Qt; print(pyqtgraph.Qt.getConfigOptions())"
[ 101.4s] → error (exit 0):
[ 107.4s] 💭 (51 chars) "Let me just try to see which Qt library is present."
[ 107.4s] 🔧 run_command python3 -c "import PyQt6; print('PyQt6')" || python3 -c "import PySide6; print('
[ 107.5s] → PyQt5
[ 113.1s] 💭 (53 chars) "It's `PyQt5`. Now let me reproduce. I'll use `PyQt5`."
[ 113.1s] 🔧 run_command (19 lines) python3 - <<'PY'
[ 113.5s] → error (exit 0):
[ 121.6s] 💭 (78 chars) "I need to set the Qt platform to `offscreen` to run in a headless environment."
[ 121.6s] 🔧 run_command (21 lines) python3 - <<'PY'
[ 122.1s] → Caught exception: Cannot compare structured or void to non-void arrays.
[ 223.2s] 💭 (5218 chars) "Perfect, the bug is reproduced.
The offending lines are:
```python
elif dt == 'recarray' or dt == 'dictOfLi..."
[ 223.2s] 🔧 run_command grep -rn "recarray" pyqtgraph/
[ 223.3s] → pyqtgraph/graphicsItems/PlotDataItem.py:275: * ``PlotDataItem(recarray)`` -
:class:`numpy.recarray` record array
[ 235.2s] 💭 (140 chars) "It seems it's only in `PlotDataItem.py`.
Wait, let's look at `PlotDataItem.setData` again. Is there anything else?
I'l..."
[ 235.2s] ✏️ edit_file (pyqtgraph/graphicsItems/PlotDataItem.py)
[ 235.4s] ✓ {'status': 'ok', 'filepath': 'pyqtgraph/graphicsItems/PlotDataItem.py', 'occurrences': 1, 'strategy':
'exact', 'diff': "…
[ 259.7s] 💭 (54 chars) "Now let's verify the fix with the reproduction script."
[ 259.7s] 🔧 run_command (66 lines) python3 - <<'PY'
[ 260.0s] → Testing recarray with x and y...
[ 269.5s] 💭 (244 chars) "All tests passed!
Now I'll just do a quick check if there are any other places where I should have applied similar logi..."
[ 269.5s] 🔧 run_command grep -rn "dictOfLists" pyqtgraph/
[ 269.6s] → pyqtgraph/graphicsItems/PlotDataItem.py:1163: elif dt == 'recarray' or dt == 'dictOfLists':
[ 275.0s] 💭 (113 chars) "It's only in those two places too.
I'm confident in this fix.
One final check: `git status --short && git diff`."
[ 275.0s] 🔧 run_command git status --short && git diff
[ 275.1s] → M pyqtgraph/graphicsItems/PlotDataItem.py
[ 278.6s] 💭 (101 chars) "The diff is exactly what I want.
No untracked files.
No modifications to tests.
I'm ready to submit."
[ 278.6s] 🤖 submit_patch
[ 278.7s] → submit_patch: {"status": "ok", "patch_size": 770, "files_changed": 1}
[ 343.1s] 💭 (23 chars) "Everything is complete."
[ 343.1s] ✅ Agent finished: The issue was caused by a `TypeError` in NumPy 2.0 when performing a membership check
(`'x' in data`) on a NumPy record array in `pyqtgraph/graphicsItems/PlotDataItem.py`. The fix introduces a `names`...
Native result row
{
"agent_error": null,
"duration_seconds": 357.24,
"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": 355.52,
"repo": "pyqtgraph/pyqtgraph",
"request_log_path": "/kaggle-root/working/r31/rollouts_X/requests/pyqtgraph__pyqtgraph-3278__p0__r6.jsonl",
"resolved": true,
"rollout_idx": 6,
"run_key": "pyqtgraph__pyqtgraph-3278__p0__r6",
"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__r6.json"
}