pyqtgraph__pyqtgraph-3278

{
  "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
}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "    def setData(\n        self,\n        *args,\n        **kwargs\n    ):\n        \"\"\"\n        Clear any data displayed by this item and display new data.\n\n        Parameters\n        ----------\n        *args : tuple\n            See :class:`PlotDataItem` description for supported arguments.\n        **kwargs : dict\n            See :class:`PlotDataItem` description for supported arguments.\n\n        Raises\n        ------\n        TypeError\n            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\n        if 'x' in kwargs:\n            x = kwargs['x']\n        if 'y' in kwargs:\n            y = kwargs['y']\n\n        profiler('interpret data')\n        # pull in all style arguments.\n        # Use self.opts to fill in anything not present in kwargs.\n\n        if 'name' in kwargs:\n            self.opts['name'] = kwargs['name']\n            self.setProperty('styleWasChanged', True)\n\n        if 'connect' in kwargs:\n            self.opts['connect'] = kwargs['connect']\n            self.setProperty('styleWasChanged', True)\n            \n        if 'skipFiniteCheck' in kwargs:\n            self.opts['skipFiniteCheck'] = kwargs['skipFiniteCheck']\n\n        # if symbol pen/brush are given with no previously set symbol,\n        # then assume symbol is 'o'\n        if (\n            'symbol' not in kwargs\n            and (\n                'symbolPen' in kwargs\n                or 'symbolBrush' in kwargs\n                or 'symbolSize' in kwargs\n            ) and self.opts['symbol'] is None\n        ):\n            kwargs['symbol'] = 'o'\n\n        if 'brush' in kwargs:\n            kwargs['fillBrush'] = kwargs['brush']\n\n        for k in list(self.opts.keys()):\n            if k in kwargs:\n                self.opts[k] = kwargs[k]\n                self.setProperty('styleWasChanged', True)\n        #curveArgs = {}\n        #for k in ['pen', 'shadowPen', 'fillLevel', 'brush']:\n            #if k in kwargs:\n                #self.opts[k] = kwargs[k]\n            #curveArgs[k] = self.opts[k]\n\n        #scatterArgs = {}\n        #for k,v in [('symbolPen','pen'), ('symbolBrush','brush'), ('symbol','symbol')]:\n            #if k in kwargs:\n                #self.opts[k] = kwargs[k]\n            #scatterArgs[v] = self.opts[k]\n\n        if y is None or len(y) == 0:  # empty data is represented as None\n            yData = None\n        else:  # actual data is represented by ndarray\n            if not isinstance(y, np.ndarray):\n                y = np.array(y)\n            yData = y.view(np.ndarray)\n            if x is None:\n                x = np.arange(len(y))\n                \n        if x is None or len(x) == 0:  # empty data is represented as None\n            xData = None\n        else:  # actual data is represented by ndarray\n            if not isinstance(x, np.ndarray):\n                x = np.array(x)\n            xData = x.view(np.ndarray)\n\n        if xData is None or yData is None:\n            self._dataset = None\n        else:\n            self._dataset = PlotDataset( xData, yData )",
  "start_line": 1122,
  "end_line": 1271,
  "total_lines": 1839,
  "is_truncated": true
}

{
  "status": "ok",
  "stdout": "1799:def dataType(obj) -> str:\n",
  "stderr": "",
  "exit_code": 0
}

{
  "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,
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{
  "status": "error",
  "error_type": "CommandError",
  "error_message": "Traceback (most recent call last):\n  File \"<stdin>\", line 3, in <module>\nModuleNotFoundError: No module named 'PyQt6'\n",
  "details": {
    "stdout": "",
    "stderr": "Traceback (most recent call last):\n  File \"<stdin>\", line 3, in <module>\nModuleNotFoundError: No module named 'PyQt6'\n",
    "exit_code": 1
  }
}

{
  "status": "ok",
  "stdout": "PyQt5             5.15.11\nPyQt5-Qt5         5.15.18\nPyQt5_sip         12.18.0\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "ok",
  "stdout": "Attempting to set data with recarray...\n",
  "stderr": "Traceback (most recent call last):\n  File \"<stdin>\", line 9, 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
}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "            Explains the constructions of the draw paths.\n        \"\"\"\n        profiler = debug.Profiler()\n        y = None\n        x = None\n        if len(args) == 1:",
  "start_line": 1148,
  "end_line": 1153,
  "total_lines": 1839,
  "is_truncated": false
}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "            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':",
  "start_line": 1158,
  "end_line": 1168,
  "total_lines": 1839,
  "is_truncated": false
}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "occurrences": 1,
  "strategy": "unescaped",
  "diff": "--- a/pyqtgraph/graphicsItems/PlotDataItem.py\n+++ b/pyqtgraph/graphicsItems/PlotDataItem.py\n@@ -1160,7 +1160,12 @@\n             elif dt == 'Nx2array':\n                 x = data[:, 0]\n                 y = data[:, 1]\n-            elif dt == 'recarray' or dt == 'dictOfLists':\n+            elif dt == 'recarray':\n+                if 'x' in data.dtype.names:\n+                    x = np.array(data['x'])\n+                if 'y' in data.dtype.names:\n+                    y = np.array(data['y'])\n+            elif dt == 'dictOfLists':\n                 if 'x' in data:\n                     x = np.array(data['x'])\n                 if 'y' in data:\n",
  "is_truncated": false
}

{
  "status": "ok",
  "stdout": "Attempting to set data with recarray...\nSuccessfully set data with recarray\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "ok",
  "stdout": "Attempting to set data with dictOfLists...\nSuccessfully set data with dictOfLists\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "ok",
  "stdout": "Attempting to set data with recarray (only y)...\nSuccessfully set data with recarray (only y)\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "ok",
  "stdout": "Attempting to set data with recarray (neither x nor y)...\nSuccessfully set data with recarray (neither x nor y)\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "ok",
  "stdout": "pyqtgraph/graphicsItems/PlotDataItem.py:1164:                if 'x' in data.dtype.names:\npyqtgraph/graphicsItems/PlotDataItem.py:1169:                if 'x' in data:\npyqtgraph/graphicsItems/PlotDataItem.py:1174:                if 'x' in data[0]:\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "ok",
  "stdout": "pyqtgraph/graphicsItems/PlotItem/PlotItem.py:495:            plot.setData(plot.xData, newData, stepMode=stepMode)\npyqtgraph/graphicsItems/PlotItem/PlotItem.py:497:            plot.setData(x, y, stepMode=stepMode)\npyqtgraph/graphicsItems/GraphItem.py:26:        self.setData(**kwds)\npyqtgraph/graphicsItems/GraphItem.py:28:    def setData(self, **kwds):\npyqtgraph/graphicsItems/GraphItem.py:52:                        :func:`ScatterPlotItem.setData() <pyqtgraph.ScatterPlotItem.setData>`\npyqtgraph/graphicsItems/GraphItem.py:75:        self.scatter.setData(**kwds)\npyqtgraph/graphicsItems/PlotDataItem.py:20:# For type-hints, but cannot be utilized with setData or __init__ until\npyqtgraph/graphicsItems/PlotDataItem.py:254:    * When passing `x` and `y` data to :meth:`PlotDataItem.setData`, use\npyqtgraph/graphicsItems/PlotDataItem.py:293:        :meth:`ScatterPlotItem.setData <pyqtgraph.ScatterPlotItem.setData>` for more\npyqtgraph/graphicsItems/PlotDataItem.py:622:        self.setData(*args, **kwargs)\npyqtgraph/graphicsItems/PlotDataItem.py:1122:    def setData(\npyqtgraph/graphicsItems/PlotDataItem.py:1145:            The arguments accepted by :meth:`setData` are the same used during \npyqtgraph/graphicsItems/PlotDataItem.py:1313:        # - PlotDataItem performing multiple unnecessary setData calls on initialization\npyqtgraph/graphicsItems/PlotDataItem.py:1381:            self.curve.setData(x=x, y=y, **curveArgs)\npyqtgraph/graphicsItems/PlotDataItem.py:1389:            self.scatter.setData(x=x, y=y, **scatterArgs)\npyqtgraph/graphicsItems/PlotCurveItem.py:237:        Forwards all arguments to :func:`setData <pyqtgraph.PlotCurveItem.setData>`.\npyqtgraph/graphicsItems/PlotCurveItem.py:272:        self.setData(*args, **kargs)\npyqtgraph/graphicsItems/PlotCurveItem.py:543:    def setData(self, *args, **kargs):\npyqtgraph/graphicsItems/PlotCurveItem.py:590:        ``setData(y)`` for a single argument and ``setData(x, y)`` for two\npyqtgraph/graphicsItems/HistogramLUTItem.py:352:            self.plot.setData(*h)\npyqtgraph/graphicsItems/HistogramLUTItem.py:372:                    self.plots[i].setData(*h)\npyqtgraph/graphicsItems/ErrorBarItem.py:11:        All keyword arguments are passed to setData().\npyqtgraph/graphicsItems/ErrorBarItem.py:27:        self.setData(**opts)\npyqtgraph/graphicsItems/ErrorBarItem.py:29:    def setData(self, **opts):\npyqtgraph/graphicsItems/ErrorBarItem.py:57:        self.setData(**opts)\npyqtgraph/graphicsItems/PColorMeshItem.py:113:            the next time ``setData()`` is called with new data.\npyqtgraph/graphicsItems/PColorMeshItem.py:115:            Causes the colormap levels to autoscale whenever ``setData()`` is called.\npyqtgraph/graphicsItems/PColorMeshItem.py:117:            ``autoLevels`` keyword argument when calling ``setData()``.\npyqtgraph/graphicsItems/PColorMeshItem.py:164:            self.setData(*args)\npyqtgraph/graphicsItems/PColorMeshItem.py:232:    def setData(self, *args, **kwargs):\npyqtgraph/graphicsItems/PColorMeshItem.py:770:        tex.setData(tex.PixelFormat.RGBA, tex.PixelType.UInt8, lut)\npyqtgraph/graphicsItems/IsocurveItem.py:22:                        later using :func:`setData <pyqtgraph.IsocurveItem.setData>`\npyqtgraph/graphicsItems/IsocurveItem.py:38:        self.setData(data, level)\npyqtgraph/graphicsItems/IsocurveItem.py:40:    def setData(self, data, level=None):\npyqtgraph/graphicsItems/IsocurveItem.py:79:        self.setData(data, level)\npyqtgraph/graphicsItems/ScatterPlotItem.py:361:        Accepts the same arguments as setData()\npyqtgraph/graphicsItems/ScatterPlotItem.py:412:        self.setData(*args, **kargs)\npyqtgraph/graphicsItems/ScatterPlotItem.py:413:        profiler('setData')\npyqtgraph/graphicsItems/ScatterPlotItem.py:421:    def setData(self, *args, **kargs):\npyqtgraph/graphicsItems/ScatterPlotItem.py:476:        Arguments are the same as setData()\npyqtgraph/graphicsItems/ScatterPlotItem.py:1235:    def setData(self, data):\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "ok",
  "stdout": "421:    def setData(self, *args, **kargs):\n1235:    def setData(self, data):\n",
  "stderr": "",
  "exit_code": 0
}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/ScatterPlotItem.py",
  "content": "    def setData(self, *args, **kargs):\n        \"\"\"\n        **Ordered Arguments:**\n\n        * If there is only one unnamed argument, it will be interpreted like the 'spots' argument.\n        * If there are two unnamed arguments, they will be interpreted as sequences of x and y values.\n\n        ====================== ===============================================================================================\n        **Keyword Arguments:**\n        *spots*                Optional list of dicts. Each dict specifies parameters for a single spot:\n                               {'pos': (x,y), 'size', 'pen', 'brush', 'symbol'}. This is just an alternate method\n                               of passing in data for the corresponding arguments.\n        *x*,*y*                1D arrays of x,y values.\n        *pos*                  2D structure of x,y pairs (such as Nx2 array or list of tuples)\n        *pxMode*               If True, spots are always the same size regardless of scaling, and size is given in px.\n                               Otherwise, size is in scene coordinates and the spots scale with the view. To ensure\n                               effective caching, QPen and QBrush objects should be reused as much as possible.\n                               Default is True\n        *symbol*               can be one (or a list) of symbols. For a list of supported symbols, see \n                               :func:`~ScatterPlotItem.setSymbol`. QPainterPath is also supported to specify custom symbol\n                               shapes. To properly obey the position and size, custom symbols should be centered at (0,0) and\n                               width and height of 1.0. Note that it is also possible to 'install' custom shapes by setting \n                               ScatterPlotItem.Symbols[key] = shape.\n        *pen*                  The pen (or list of pens) to use for drawing spot outlines.\n        *brush*                The brush (or list of brushes) to use for filling spots.\n        *size*                 The size (or list of sizes) of spots. If *pxMode* is True, this value is in pixels. Otherwise,\n                               it is in the item's local coordinate system.\n        *data*                 a list of python objects used to uniquely identify each spot.\n        *hoverable*            If True, sigHovered is emitted with a list of hovered points, a tool tip is shown containing\n                               information about them, and an optional separate style for them is used. Default is False.",
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  "is_truncated": false
}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/ScatterPlotItem.py",
  "content": "        *tip*                  A string-valued function of a spot's (x, y, data) values. Set to None to prevent a tool tip\n                               from being shown.\n        *hoverSymbol*          A single symbol to use for hovered spots. Set to None to keep symbol unchanged. Default is None.\n        *hoverSize*            A single size to use for hovered spots. Set to -1 to keep size unchanged. Default is -1.\n        *hoverPen*             A single pen to use for hovered spots. Set to None to keep pen unchanged. Default is None.\n        *hoverBrush*           A single brush to use for hovered spots. Set to None to keep brush unchanged. Default is None.\n        *useCache*             (bool) By default, generated point graphics items are cached to\n                               improve performance. Setting this to False can improve image quality\n                               in certain situations.\n        *antialias*            Whether to draw symbols with antialiasing. Note that if pxMode is True, symbols are\n                               always rendered with antialiasing (since the rendered symbols can be cached, this\n                               incurs very little performance cost)\n        *compositionMode*      If specified, this sets the composition mode used when drawing the\n                               scatter plot (see QPainter::CompositionMode in the Qt documentation).\n        *name*                 The name of this item. Names are used for automatically\n                               generating LegendItem entries and by some exporters.\n        ====================== ===============================================================================================\n        \"\"\"\n        oldData = self.data  ## this causes cached pixmaps to be preserved while new data is registered.\n        self.clear()  ## clear out all old data\n        self.addPoints(*args, **kargs)\n\n    def addPoints(self, *args, **kargs):\n        \"\"\"\n        Add new points to the scatter plot.\n        Arguments are the same as setData()\n        \"\"\"\n\n        ## deal with non-keyword arguments\n        if len(args) == 1:\n            kargs['spots'] = args[0]\n        elif len(args) == 2:\n            kargs['x'] = args[0]\n            kargs['y'] = args[1]\n        elif len(args) > 2:\n            raise Exception('Only accepts up to two non-keyword arguments.')\n\n        ## convert 'pos' argument to 'x' and 'y'\n        if 'pos' in kargs:\n            pos = kargs['pos']\n            if isinstance(pos, np.ndarray):\n                kargs['x'] = pos[:,0]\n                kargs['y'] = pos[:,1]\n            else:\n                x = []\n                y = []\n                for p in pos:\n                    if isinstance(p, QtCore.QPointF):\n                        x.append(p.x())\n                        y.append(p.y())\n                    else:\n                        x.append(p[0])\n                        y.append(p[1])\n                kargs['x'] = x\n                kargs['y'] = y\n\n        ## determine how many spots we have\n        if 'spots' in kargs:\n            numPts = len(kargs['spots'])\n        elif 'y' in kargs and kargs['y'] is not None:\n            numPts = len(kargs['y'])\n        else:\n            kargs['x'] = []\n            kargs['y'] = []\n            numPts = 0\n\n        ## Clear current SpotItems since the data references they contain will no longer be current\n        self.data['item'][...] = None\n\n        ## Extend record array\n        oldData = self.data\n        self.data = np.empty(len(oldData)+numPts, dtype=self.data.dtype)\n        ## note that np.empty initializes object fields to None and string fields to ''\n\n        self.data[:len(oldData)] = oldData\n        #for i in range(len(oldData)):\n            #oldData[i]['item']._data = self.data[i]  ## Make sure items have proper reference to new array\n\n        newData = self.data[len(oldData):]\n        newData['size'] = -1  ## indicates to use default size\n        newData['visible'] = True\n\n        if 'spots' in kargs:\n            spots = kargs['spots']\n            for i in range(len(spots)):\n                spot = spots[i]\n                for k in spot:\n                    if k == 'pos':\n                        pos = spot[k]\n                        if isinstance(pos, QtCore.QPointF):\n                            x,y = pos.x(), pos.y()\n                        else:\n                            x,y = pos[0], pos[1]\n                        newData[i]['x'] = x\n                        newData[i]['y'] = y\n                    elif k == 'pen':\n                        newData[i][k] = _mkPen(spot[k])\n                    elif k == 'brush':\n                        newData[i][k] = _mkBrush(spot[k])\n                    elif k in ['x', 'y', 'size', 'symbol', 'data']:",
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  "is_truncated": false
}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "                if dataset.containsNonfinite is False:\n                    # all points can be connected, and no further check is needed.\n                    curveArgs['connect'] = 'all'\n                    curveArgs['skipFiniteCheck'] = True\n                else:   # True or None\n                    # True: (we checked and found non-finites)\n                    #   don't connect non-finites\n                    # None: (we haven't performed a check for non-finites yet)\n                    #   use connect='finite' in case there are non-finites.\n                    curveArgs['connect'] = 'finite'\n                    curveArgs['skipFiniteCheck'] = False\n            self.curve.setData(x=x, y=y, **curveArgs)\n            self.curve.show()\n        else:  # ...hide if not.\n            self.curve.hide()\n\n        if self.opts['symbol'] is not None:  # draw if visible...\n            if self.opts.get('stepMode') == \"center\":\n                x = 0.5 * (x[:-1] + x[1:])                \n            self.scatter.setData(x=x, y=y, **scatterArgs)\n            self.scatter.show()\n        else:  # ...hide if not.\n            self.scatter.hide()\n\n    def getOriginalDataset(self) -> tuple[None, None] | tuple[np.ndarray, np.ndarray]:\n        \"\"\"",
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  "is_truncated": false,
  "budget_warning": "Only 10 tool call(s) remaining (20/30 used). Finalize your edits and call submit_patch soon."
}

{
  "status": "ok",
  "stdout": "./pyqtgraph/graphicsItems/PlotDataItem.py:1155:            dt = dataType(data)\n./pyqtgraph/graphicsItems/PlotDataItem.py:1188:            dtyp = dataType(args[0]), dataType(args[1])\n./pyqtgraph/graphicsItems/PlotDataItem.py:1804:def dataType(obj) -> str:\n./doc/source/dictionaries/pyqtgraph.dic:1683:dataType\n",
  "stderr": "",
  "exit_code": 0,
  "budget_warning": "Only 9 tool call(s) remaining (21/30 used). Finalize your edits and call submit_patch soon."
}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "        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':\n                if 'x' in data.dtype.names:\n                    x = np.array(data['x'])\n                if 'y' in data.dtype.names:\n                    y = np.array(data['y'])\n            elif 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\n        if 'x' in kwargs:\n            x = kwargs['x']\n        if 'y' in kwargs:\n            y = kwargs['y']\n\n        profiler('interpret data')\n        # pull in all style arguments.\n        # Use self.opts to fill in anything not present in kwargs.\n\n        if 'name' in kwargs:\n            self.opts['name'] = kwargs['name']\n            self.setProperty('styleWasChanged', True)\n\n        if 'connect' in kwargs:\n            self.opts['connect'] = kwargs['connect']\n            self.setProperty('styleWasChanged', True)\n            \n        if 'skipFiniteCheck' in kwargs:\n            self.opts['skipFiniteCheck'] = kwargs['skipFiniteCheck']\n\n        # if symbol pen/brush are given with no previously set symbol,\n        # then assume symbol is 'o'\n        if (\n            'symbol' not in kwargs\n            and (\n                'symbolPen' in kwargs\n                or 'symbolBrush' in kwargs\n                or 'symbolSize' in kwargs\n            ) and self.opts['symbol'] is None\n        ):\n            kwargs['symbol'] = 'o'\n\n        if 'brush' in kwargs:\n            kwargs['fillBrush'] = kwargs['brush']\n\n        for k in list(self.opts.keys()):\n            if k in kwargs:\n                self.opts[k] = kwargs[k]\n                self.setProperty('styleWasChanged', True)\n        #curveArgs = {}\n        #for k in ['pen', 'shadowPen', 'fillLevel', 'brush']:\n            #if k in kwargs:\n                #self.opts[k] = kwargs[k]\n            #curveArgs[k] = self.opts[k]\n",
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  "is_truncated": false,
  "budget_warning": "Only 8 tool call(s) remaining (22/30 used). Finalize your edits and call submit_patch soon."
}

{
  "status": "ok",
  "stdout": "Successfully called setData with recarray\nSuccessfully called setData with dictOfLists\nSuccessfully called setData with recarray missing 'x'\n",
  "stderr": "",
  "exit_code": 0,
  "budget_warning": "Only 7 tool call(s) remaining (23/30 used). Finalize your edits and call submit_patch soon."
}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "        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:",
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}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "        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": 1800,
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  "total_lines": 1844,
  "is_truncated": false,
  "budget_warning": "Only 5 tool call(s) remaining (25/30 used). Finalize your edits and call submit_patch soon."
}

{
  "status": "ok",
  "stdout": "./pyqtgraph/graphicsItems/PlotDataItem.py:1164:                if 'x' in data.dtype.names:\n./pyqtgraph/graphicsItems/PlotDataItem.py:1169:                if 'x' in data:\n./pyqtgraph/graphicsItems/PlotDataItem.py:1174:                if 'x' in data[0]:\n./pyqtgraph/graphicsItems/PlotDataItem.py:1206:        if 'x' in kwargs:\n",
  "stderr": "",
  "exit_code": 0,
  "budget_warning": "Only 4 tool call(s) remaining (26/30 used). Finalize your edits and call submit_patch soon."
}

{
  "status": "ok",
  "filepath": "pyqtgraph/graphicsItems/PlotDataItem.py",
  "content": "            elif dt == 'Nx2array':\n                x = data[:, 0]\n                y = data[:, 1]\n            elif dt == 'recarray':\n                if 'x' in data.dtype.names:\n                    x = np.array(data['x'])\n                if 'y' in data.dtype.names:\n                    y = np.array(data['y'])\n            elif 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                ]:",
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  "is_truncated": false,
  "budget_warning": "Only 3 tool call(s) remaining (27/30 used). Finalize your edits and call submit_patch soon."
}

{
  "status": "ok",
  "stdout": "./pyqtgraph/examples/optics/pyoptic.py:63:        keys = [int(x[7:]) for x in data.keys() if 'TAUI25' in x]\n./pyqtgraph/flowchart/library/functions.py:208:    \"\"\"Returns a single record array with columns taken from the elements in data. \n./pyqtgraph/flowchart/library/functions.py:216:    for element in data:\n./pyqtgraph/flowchart/library/functions.py:240:    for element in data:\n./pyqtgraph/flowchart/Flowchart.py:287:                        args[inp.name()] = dict([(i, data[i]) for i in inputs if i in data])\n./pyqtgraph/flowchart/Flowchart.py:311:                if arg in data:\n./pyqtgraph/debug.py:1137:        for k, v in data.items():\n./pyqtgraph/graphicsItems/PlotItem/PlotItem.py:818:                for d in data:\n./pyqtgraph/graphicsItems/PlotCurveItem.py:1077:        # a reallocation can only occur together with a change in data.\n./pyqtgraph/graphicsItems/PlotCurveItem.py:1078:        # i.e. reallocation ==> change in data (render_cache is None)\n./pyqtgraph/graphicsItems/InfiniteLine.py:21:    This line may be dragged to indicate a position in data coordinates.\n./pyqtgraph/graphicsItems/PColorMeshItem.py:519:        # a reallocation can only occur together with a change in data.\n./pyqtgraph/graphicsItems/PColorMeshItem.py:520:        # i.e. reallocation ==> change in data (render_cache is None)\n./pyqtgraph/graphicsItems/VTickGroup.py:24:        xvals           A list of x values (in data coordinates) at which to draw ticks.\n./pyqtgraph/graphicsItems/VTickGroup.py:61:        vals             A list of x values (in data/plot coordinates) at which to draw ticks.\n./pyqtgraph/graphicsItems/ScatterPlotItem.py:270:        for key, arr in data:\n./pyqtgraph/graphicsItems/ScatterPlotItem.py:286:        for _, arr in data:\n./pyqtgraph/graphicsItems/ScatterPlotItem.py:432:                               of passing in data for the corresponding arguments.\n./pyqtgraph/graphicsItems/ScatterPlotItem.py:841:        \"\"\"Generate pairs (width, pxWidth) for spots in data\"\"\"\n./pyqtgraph/widgets/ColorMapWidget.py:132:        data            A numpy record array where the fields in data.dtype match those\n./pyqtgraph/widgets/ColorMapWidget.py:140:            data = np.array([tuple(data.values())], dtype=[(k, float) for k in data.keys()])\n./pyqtgraph/widgets/TableWidget.py:223:        for x in data:\n./pyqtgraph/widgets/TableWidget.py:322:        for row in data:\n./pyqtgraph/colormap.py:157:        if ('red' in data) and isinstance(data['red'], (Sequence, np.ndarray)):\n./pyqtgraph/colormap.py:160:                for tup in data[key]:\n./pyqtgraph/colormap.py:173:        elif ('red' in data) and isinstance(data['red'], Callable):\n./pyqtgraph/exporters/CSVExporter.py:111:        columns = [column for dataset in self.data for column in dataset]\n./pyqtgraph/configfile.py:102:    for k in data:\n./pyqtgraph/configfile.py:181:            if k in data:\n./pyqtgraph/functions.py:1355:                   Values in data will be converted to color by indexing directly from lut.\n./pyqtgraph/functions.py:2330:    index = np.zeros([x-1 for x in data.shape], dtype=np.ubyte)\n./pyqtgraph/functions.py:2845:    index = np.zeros([x-1 for x in data.shape], dtype=np.ubyte)\n./doc/source/getting_started/introduction.rst:63:  publication-quality graphics, whereas pyqtgraph is intended for use in data\n./doc/source/api_reference/flowchart/index.rst:206:Flowchart Nodes implement a very useful generalization in data processing by combining \n",
  "stderr": "",
  "exit_code": 0,
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}

{
  "status": "ok",
  "filepath": "pyqtgraph/colormap.py",
  "content": "    return cmap\n\ndef getFromMatplotlib(name):\n    \"\"\" \n    Generates a ColorMap object from a Matplotlib definition.\n    Same as ``colormap.get(name, source='matplotlib')``.\n    \"\"\"\n    # inspired and informed by \"mpl_cmaps_in_ImageItem.py\", published by Sebastian Hoefer at \n    # https://github.com/honkomonk/pyqtgraph_sandbox/blob/master/mpl_cmaps_in_ImageItem.py\n    try:\n        import matplotlib.pyplot as mpl_plt\n    except ModuleNotFoundError:\n        return None\n    cmap = None\n    col_map = mpl_plt.get_cmap(name)\n    if hasattr(col_map, '_segmentdata'): # handle LinearSegmentedColormap\n        data = col_map._segmentdata\n        if ('red' in data) and isinstance(data['red'], (Sequence, np.ndarray)):\n            positions = set() # super-set of handle positions in individual channels\n            for key in ['red','green','blue']:\n                for tup in data[key]:\n                    positions.add(tup[0])\n            col_data = np.zeros((len(positions),4 ))\n            col_data[:,-1] = sorted(positions)\n            for idx, key in enumerate(['red','green','blue']):\n                positions = np.zeros( len(data[key] ) )\n                comp_vals = np.zeros( len(data[key] ) )\n                for idx2, tup in enumerate( data[key] ):\n                    positions[idx2] = tup[0]\n                    comp_vals[idx2] = tup[1] # these are sorted in the raw data\n                col_data[:,idx] = np.interp(col_data[:,3], positions, comp_vals)\n            cmap = ColorMap(pos=col_data[:,-1], color=255*col_data[:,:3]+0.5)\n        # some color maps (gnuplot in particular) are defined by RGB component functions:\n        elif ('red' in data) and isinstance(data['red'], Callable):\n            col_data = np.zeros((64, 4))\n            col_data[:,-1] = np.linspace(0., 1., 64)\n            for idx, key in enumerate(['red','green','blue']):\n                col_data[:,idx] = np.clip( data[key](col_data[:,-1]), 0, 1)\n            cmap = ColorMap(pos=col_data[:,-1], color=255*col_data[:,:3]+0.5)\n    elif hasattr(col_map, 'colors'): # handle ListedColormap\n        col_data = np.array(col_map.colors)",
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  "budget_warning": "Only 1 tool call(s) remaining (29/30 used). Finalize your edits and call submit_patch soon."
}

{
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  "patch_size": 0,
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  "max_tool_calls": 30,
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