{
    "file_diffs": [
        {
            "old_file_content": "from collections import OrderedDict\n\nfrom AnyQt.QtCore import Qt\nfrom AnyQt.QtWidgets import QLabel, QGridLayout\nimport scipy.sparse as sp\n\nfrom Orange.data import Table\nfrom Orange.modelling import SVMLearner, NuSVMLearner\nfrom Orange.widgets import gui\nfrom Orange.widgets.widget import Msg\nfrom Orange.widgets.settings import Setting\nfrom Orange.widgets.utils.owlearnerwidget import OWBaseLearner\nfrom Orange.widgets.utils.signals import Output\nfrom Orange.widgets.utils.widgetpreview import WidgetPreview\n\n\nclass OWSVM(OWBaseLearner):\n    name = 'SVM'\n    description = \"Support Vector Machines map inputs to higher-dimensional \" \\\n                  \"feature spaces.\"\n    icon = \"icons/SVM.svg\"\n    replaces = [\n        \"Orange.widgets.classify.owsvmclassification.OWSVMClassification\",\n        \"Orange.widgets.regression.owsvmregression.OWSVMRegression\",\n    ]\n    priority = 50\n    keywords = \"svm, support vector machines\"\n\n    LEARNER = SVMLearner\n\n    class Outputs(OWBaseLearner.Outputs):\n        support_vectors = Output(\"Support Vectors\", Table, explicit=True,\n                                 replaces=[\"Support vectors\"])\n\n    class Warning(OWBaseLearner.Warning):\n        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')\n\n    #: Different types of SVMs\n    SVM, Nu_SVM = range(2)\n    #: SVM type\n    svm_type = Setting(SVM)\n\n    C = Setting(1.)  # pylint: disable=invalid-name\n    epsilon = Setting(.1)\n    nu_C = Setting(1.)\n    nu = Setting(.5)  # pylint: disable=invalid-name\n\n    #: Kernel types\n    Linear, Poly, RBF, Sigmoid = range(4)\n    #: Selected kernel type\n    kernel_type = Setting(RBF)\n    #: kernel degree\n    degree = Setting(3)\n    #: gamma\n    gamma = Setting(0.0)\n    #: coef0 (adative constant)\n    coef0 = Setting(1.0)\n\n    #: numerical tolerance\n    tol = Setting(0.001)\n    #: whether or not to limit number of iterations\n    limit_iter = Setting(True)\n    #: maximum number of iterations\n    max_iter = Setting(100)\n\n    _default_gamma = \"auto\"\n    kernels = ((\"Linear\", \"x⋅y\"),\n               (\"Polynomial\", \"(g x⋅y + c)<sup>d</sup>\"),\n               (\"RBF\", \"exp(-g|x-y|²)\"),\n               (\"Sigmoid\", \"tanh(g x⋅y + c)\"))\n\n    def add_main_layout(self):\n        self._add_type_box()\n        self._add_kernel_box()\n        self._add_optimization_box()\n        self._show_right_kernel()\n\n    def _add_type_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        form = QGridLayout()\n        self.type_box = box = gui.radioButtonsInBox(\n            self.controlArea, self, \"svm_type\", [], box=\"SVM Type\",\n            orientation=form, callback=self._update_type)\n\n        self.epsilon_radio = gui.appendRadioButton(\n            box, \"SVM\", addToLayout=False)\n        self.c_spin = gui.doubleSpin(\n            box, self, \"C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.epsilon_spin = gui.doubleSpin(\n            box, self, \"epsilon\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Cost (C):\"), 0, 1, Qt.AlignRight)\n        form.addWidget(self.c_spin, 0, 2)\n        form.addWidget(QLabel(\n            \"Regression loss epsilon (ε):\"), 1, 1, Qt.AlignRight)\n        form.addWidget(self.epsilon_spin, 1, 2)\n\n        self.nu_radio = gui.appendRadioButton(box, \"ν-SVM\", addToLayout=False)\n        self.nu_C_spin = gui.doubleSpin(\n            box, self, \"nu_C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.nu_spin = gui.doubleSpin(\n            box, self, \"nu\", 0.05, 1.0, 0.05, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Regression cost (C):\"), 2, 1, Qt.AlignRight)\n        form.addWidget(self.nu_C_spin, 2, 2)\n        form.addWidget(QLabel(\"Complexity bound (ν):\"), 3, 1, Qt.AlignRight)\n        form.addWidget(self.nu_spin, 3, 2)\n\n        # Correctly enable/disable the appropriate boxes\n        self._update_type()\n\n    def _update_type(self):\n        # Enable/disable SVM type parameters depending on selected SVM type\n        if self.svm_type == self.SVM:\n            self.c_spin.setEnabled(True)\n            self.epsilon_spin.setEnabled(True)\n            self.nu_C_spin.setEnabled(False)\n            self.nu_spin.setEnabled(False)\n        else:\n            self.c_spin.setEnabled(False)\n            self.epsilon_spin.setEnabled(False)\n            self.nu_C_spin.setEnabled(True)\n            self.nu_spin.setEnabled(True)\n        self.settings_changed()\n\n    def _add_kernel_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        # Initialize with the widest label to measure max width\n        self.kernel_eq = self.kernels[-1][1]\n\n        box = gui.hBox(self.controlArea, \"Kernel\")\n\n        self.kernel_box = buttonbox = gui.radioButtonsInBox(\n            box, self, \"kernel_type\", btnLabels=[k[0] for k in self.kernels],\n            callback=self._on_kernel_changed)\n        buttonbox.layout().setSpacing(10)\n        gui.rubber(buttonbox)\n\n        parambox = gui.vBox(box)\n        gui.label(parambox, self, \"Kernel: %(kernel_eq)s\")\n        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,\n                      alignment=Qt.AlignRight, controlWidth=80)\n        spbox = gui.hBox(parambox)\n        gui.rubber(spbox)\n        inbox = gui.vBox(spbox)\n        gamma = gui.doubleSpin(\n            inbox, self, \"gamma\", 0.0, 10.0, 0.01, label=\" g: \", **common)\n        gamma.setSpecialValueText(self._default_gamma)\n        coef0 = gui.doubleSpin(\n            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)\n        degree = gui.doubleSpin(\n            inbox, self, \"degree\", 0.0, 10.0, 0.5, label=\" d: \", **common)\n        self._kernel_params = [gamma, coef0, degree]\n        gui.rubber(parambox)\n\n        # This is the maximal height (all double spins are visible)\n        # and the maximal width (the label is initialized to the widest one)\n        box.layout().activate()\n        box.setFixedHeight(box.sizeHint().height())\n        box.setMinimumWidth(box.sizeHint().width())\n\n    def _add_optimization_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        self.optimization_box = gui.vBox(\n            self.controlArea, \"Optimization Parameters\")\n        self.tol_spin = gui.doubleSpin(\n            self.optimization_box, self, \"tol\", 1e-4, 1.0, 1e-4,\n            label=\"Numerical tolerance: \",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed)\n        self.max_iter_spin = gui.spin(\n            self.optimization_box, self, \"max_iter\", 5, 1000000, 50,\n            label=\"Iteration limit: \", checked=\"limit_iter\",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed,\n            checkCallback=self.settings_changed)\n\n    def _show_right_kernel(self):\n        enabled = [[False, False, False],  # linear\n                   [True, True, True],  # poly\n                   [True, False, False],  # rbf\n                   [True, True, False]]  # sigmoid\n\n        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init\n        self.kernel_eq = self.kernels[self.kernel_type][1]\n        mask = enabled[self.kernel_type]\n        for spin, enabled in zip(self._kernel_params, mask):\n            [spin.box.hide, spin.box.show][enabled]()\n\n    def update_model(self):\n        super().update_model()\n        sv = None\n        if self.model is not None:\n            sv = self.data[self.model.skl_model.support_]\n        self.Outputs.support_vectors.send(sv)\n\n    def _on_kernel_changed(self):\n        self._show_right_kernel()\n        self.settings_changed()\n\n    @OWBaseLearner.Inputs.data\n    def set_data(self, data):\n        self.Warning.sparse_data.clear()\n        super().set_data(data)\n        if self.data and sp.issparse(self.data.X):\n            self.Warning.sparse_data()\n\n    def create_learner(self):\n        kernel = [\"linear\", \"poly\", \"rbf\", \"sigmoid\"][self.kernel_type]\n        common_args = {\n            'kernel': kernel,\n            'degree': self.degree,\n            'gamma': self.gamma or self._default_gamma,\n            'coef0': self.coef0,\n            'probability': True,\n            'tol': self.tol,\n            'max_iter': self.max_iter if self.limit_iter else -1,\n            'preprocessors': self.preprocessors\n        }\n        if self.svm_type == self.SVM:\n            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)\n        else:\n            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)\n\n    def get_learner_parameters(self):\n        items = OrderedDict()\n        if self.svm_type == self.SVM:\n            items[\"SVM type\"] = \"SVM, C={}, ε={}\".format(self.C, self.epsilon)\n        else:\n            items[\"SVM type\"] = \"ν-SVM, ν={}, C={}\".format(self.nu, self.nu_C)\n        self._report_kernel_parameters(items)\n        items[\"Numerical tolerance\"] = \"{:.6}\".format(self.tol)\n        items[\"Iteration limt\"] = self.max_iter if self.limit_iter else \"unlimited\"\n        return items\n\n    def _report_kernel_parameters(self, items):\n        gamma = self.gamma or self._default_gamma\n        if self.kernel_type == 0:\n            items[\"Kernel\"] = \"Linear\"\n        elif self.kernel_type == 1:\n            items[\"Kernel\"] = \\\n                \"Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>\".format(\n                    g=gamma, c=self.coef0, d=self.degree)\n        elif self.kernel_type == 2:\n            items[\"Kernel\"] = \"RBF, exp(-{:.4}|x-y|²)\".format(gamma)\n        else:\n            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x⋅y + {c:.4})\".format(\n                g=gamma, c=self.coef0)\n\n\nif __name__ == \"__main__\":  # pragma: no cover\n    WidgetPreview(OWSVM).run(Table(\"iris\"))\n",
            "new_file_content": "from collections import OrderedDict\n\nfrom AnyQt.QtCore import Qt\nfrom AnyQt.QtWidgets import QLabel, QGridLayout\nimport scipy.sparse as sp\n\nfrom Orange.data import Table\nfrom Orange.modelling import SVMLearner, NuSVMLearner\nfrom Orange.widgets import gui\nfrom Orange.widgets.widget import Msg\nfrom Orange.widgets.settings import Setting\nfrom Orange.widgets.utils.owlearnerwidget import OWBaseLearner\nfrom Orange.widgets.utils.signals import Output\nfrom Orange.widgets.utils.widgetpreview import WidgetPreview\n\n\nclass OWSVM(OWBaseLearner):\n    name = 'SVM'\n    description = \"Support Vector Machines map inputs to higher-dimensional \" \\\n                  \"feature spaces.\"\n    icon = \"icons/SVM.svg\"\n    replaces = [\n        \"Orange.widgets.classify.owsvmclassification.OWSVMClassification\",\n        \"Orange.widgets.regression.owsvmregression.OWSVMRegression\",\n    ]\n    priority = 50\n    keywords = \"svm, support vector machines\"\n\n    LEARNER = SVMLearner\n\n    class Outputs(OWBaseLearner.Outputs):\n        support_vectors = Output(\"Support Vectors\", Table, explicit=True,\n                                 replaces=[\"Support vectors\"])\n\n    class Warning(OWBaseLearner.Warning):\n        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')\n\n    settings_version = 2\n\n    #: Different types of SVMs\n    SVM, Nu_SVM = range(2)\n    #: SVM type\n    svm_type = Setting(SVM)\n\n    C = Setting(1.)  # pylint: disable=invalid-name\n    epsilon = Setting(.1)\n    nu_C = Setting(1.)\n    nu = Setting(.5)  # pylint: disable=invalid-name\n\n    #: Kernel types\n    Linear, Poly, RBF, Sigmoid = range(4)\n    #: Selected kernel type\n    kernel_type = Setting(RBF)\n    #: kernel degree\n    degree = Setting(3)\n    #: gamma\n    gamma = Setting(0.0)\n    #: coef0 (adative constant)\n    coef0 = Setting(1.0)\n\n    #: numerical tolerance\n    tol = Setting(0.001)\n    #: whether or not to limit number of iterations\n    limit_iter = Setting(True)\n    #: maximum number of iterations\n    max_iter = Setting(100)\n\n    _default_gamma = \"auto\"\n    kernels = ((\"Linear\", \"x⋅y\"),\n               (\"Polynomial\", \"(g x⋅y + c)<sup>d</sup>\"),\n               (\"RBF\", \"exp(-g|x-y|²)\"),\n               (\"Sigmoid\", \"tanh(g x⋅y + c)\"))\n\n    def add_main_layout(self):\n        self._add_type_box()\n        self._add_kernel_box()\n        self._add_optimization_box()\n        self._show_right_kernel()\n\n    def _add_type_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        form = QGridLayout()\n        self.type_box = box = gui.radioButtonsInBox(\n            self.controlArea, self, \"svm_type\", [], box=\"SVM Type\",\n            orientation=form, callback=self._update_type)\n\n        self.epsilon_radio = gui.appendRadioButton(\n            box, \"SVM\", addToLayout=False)\n        self.c_spin = gui.doubleSpin(\n            box, self, \"C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.epsilon_spin = gui.doubleSpin(\n            box, self, \"epsilon\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Cost (C):\"), 0, 1, Qt.AlignRight)\n        form.addWidget(self.c_spin, 0, 2)\n        form.addWidget(QLabel(\n            \"Regression loss epsilon (ε):\"), 1, 1, Qt.AlignRight)\n        form.addWidget(self.epsilon_spin, 1, 2)\n\n        self.nu_radio = gui.appendRadioButton(box, \"ν-SVM\", addToLayout=False)\n        self.nu_C_spin = gui.doubleSpin(\n            box, self, \"nu_C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.nu_spin = gui.doubleSpin(\n            box, self, \"nu\", 0.05, 1.0, 0.05, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Regression cost (C):\"), 2, 1, Qt.AlignRight)\n        form.addWidget(self.nu_C_spin, 2, 2)\n        form.addWidget(QLabel(\"Complexity bound (ν):\"), 3, 1, Qt.AlignRight)\n        form.addWidget(self.nu_spin, 3, 2)\n\n        # Correctly enable/disable the appropriate boxes\n        self._update_type()\n\n    def _update_type(self):\n        # Enable/disable SVM type parameters depending on selected SVM type\n        if self.svm_type == self.SVM:\n            self.c_spin.setEnabled(True)\n            self.epsilon_spin.setEnabled(True)\n            self.nu_C_spin.setEnabled(False)\n            self.nu_spin.setEnabled(False)\n        else:\n            self.c_spin.setEnabled(False)\n            self.epsilon_spin.setEnabled(False)\n            self.nu_C_spin.setEnabled(True)\n            self.nu_spin.setEnabled(True)\n        self.settings_changed()\n\n    def _add_kernel_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        # Initialize with the widest label to measure max width\n        self.kernel_eq = self.kernels[-1][1]\n\n        box = gui.hBox(self.controlArea, \"Kernel\")\n\n        self.kernel_box = buttonbox = gui.radioButtonsInBox(\n            box, self, \"kernel_type\", btnLabels=[k[0] for k in self.kernels],\n            callback=self._on_kernel_changed)\n        buttonbox.layout().setSpacing(10)\n        gui.rubber(buttonbox)\n\n        parambox = gui.vBox(box)\n        gui.label(parambox, self, \"Kernel: %(kernel_eq)s\")\n        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,\n                      alignment=Qt.AlignRight, controlWidth=80)\n        spbox = gui.hBox(parambox)\n        gui.rubber(spbox)\n        inbox = gui.vBox(spbox)\n        gamma = gui.doubleSpin(\n            inbox, self, \"gamma\", 0.0, 10.0, 0.01, label=\" g: \", **common)\n        gamma.setSpecialValueText(self._default_gamma)\n        coef0 = gui.doubleSpin(\n            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)\n        degree = gui.spin(\n            inbox, self, \"degree\", 0, 10, 1, label=\" d: \", **common)\n        self._kernel_params = [gamma, coef0, degree]\n        gui.rubber(parambox)\n\n        # This is the maximal height (all double spins are visible)\n        # and the maximal width (the label is initialized to the widest one)\n        box.layout().activate()\n        box.setFixedHeight(box.sizeHint().height())\n        box.setMinimumWidth(box.sizeHint().width())\n\n    def _add_optimization_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        self.optimization_box = gui.vBox(\n            self.controlArea, \"Optimization Parameters\")\n        self.tol_spin = gui.doubleSpin(\n            self.optimization_box, self, \"tol\", 1e-4, 1.0, 1e-4,\n            label=\"Numerical tolerance: \",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed)\n        self.max_iter_spin = gui.spin(\n            self.optimization_box, self, \"max_iter\", 5, 1000000, 50,\n            label=\"Iteration limit: \", checked=\"limit_iter\",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed,\n            checkCallback=self.settings_changed)\n\n    def _show_right_kernel(self):\n        enabled = [[False, False, False],  # linear\n                   [True, True, True],  # poly\n                   [True, False, False],  # rbf\n                   [True, True, False]]  # sigmoid\n\n        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init\n        self.kernel_eq = self.kernels[self.kernel_type][1]\n        mask = enabled[self.kernel_type]\n        for spin, enabled in zip(self._kernel_params, mask):\n            [spin.box.hide, spin.box.show][enabled]()\n\n    def update_model(self):\n        super().update_model()\n        sv = None\n        if self.model is not None:\n            sv = self.data[self.model.skl_model.support_]\n        self.Outputs.support_vectors.send(sv)\n\n    def _on_kernel_changed(self):\n        self._show_right_kernel()\n        self.settings_changed()\n\n    @OWBaseLearner.Inputs.data\n    def set_data(self, data):\n        self.Warning.sparse_data.clear()\n        super().set_data(data)\n        if self.data and sp.issparse(self.data.X):\n            self.Warning.sparse_data()\n\n    def create_learner(self):\n        kernel = [\"linear\", \"poly\", \"rbf\", \"sigmoid\"][self.kernel_type]\n        common_args = {\n            'kernel': kernel,\n            'degree': self.degree,\n            'gamma': self.gamma or self._default_gamma,\n            'coef0': self.coef0,\n            'probability': True,\n            'tol': self.tol,\n            'max_iter': self.max_iter if self.limit_iter else -1,\n            'preprocessors': self.preprocessors\n        }\n        if self.svm_type == self.SVM:\n            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)\n        else:\n            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)\n\n    def get_learner_parameters(self):\n        items = OrderedDict()\n        if self.svm_type == self.SVM:\n            items[\"SVM type\"] = \"SVM, C={}, ε={}\".format(self.C, self.epsilon)\n        else:\n            items[\"SVM type\"] = \"ν-SVM, ν={}, C={}\".format(self.nu, self.nu_C)\n        self._report_kernel_parameters(items)\n        items[\"Numerical tolerance\"] = \"{:.6}\".format(self.tol)\n        items[\"Iteration limt\"] = self.max_iter if self.limit_iter else \"unlimited\"\n        return items\n\n    def _report_kernel_parameters(self, items):\n        gamma = self.gamma or self._default_gamma\n        if self.kernel_type == 0:\n            items[\"Kernel\"] = \"Linear\"\n        elif self.kernel_type == 1:\n            items[\"Kernel\"] = \\\n                \"Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>\".format(\n                    g=gamma, c=self.coef0, d=self.degree)\n        elif self.kernel_type == 2:\n            items[\"Kernel\"] = \"RBF, exp(-{:.4}|x-y|²)\".format(gamma)\n        else:\n            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x⋅y + {c:.4})\".format(\n                g=gamma, c=self.coef0)\n\n    @classmethod\n    def migrate_settings(cls, settings, version):\n        if version < 2:\n            if \"degree\" in settings:\n                settings[\"degree\"] = int(settings[\"degree\"])\n\n\nif __name__ == \"__main__\":  # pragma: no cover\n    WidgetPreview(OWSVM).run(Table(\"iris\"))\n",
            "header": {
                "file": {
                    "path": "Orange/widgets/model/owsvm.py"
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                        "section": "class OWSVM(OWBaseLearner):"
                    },
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                        "all_lines": [
                            {
                                "content": "    class Warning(OWBaseLearner.Warning):",
                                "type": "context"
                            },
                            {
                                "content": "        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "    settings_version = 2",
                                "type": "added"
                            },
                            {
                                "content": "",
                                "type": "added"
                            },
                            {
                                "content": "    #: Different types of SVMs",
                                "type": "context"
                            },
                            {
                                "content": "    SVM, Nu_SVM = range(2)",
                                "type": "context"
                            },
                            {
                                "content": "    #: SVM type",
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                            "file_name": "Orange/widgets/model/owsvm.py",
                            "type": "class",
                            "name": "OWSVM",
                            "content": "class OWSVM(OWBaseLearner):\n    name = 'SVM'\n    description = \"Support Vector Machines map inputs to higher-dimensional \" \\\n                  \"feature spaces.\"\n    icon = \"icons/SVM.svg\"\n    replaces = [\n        \"Orange.widgets.classify.owsvmclassification.OWSVMClassification\",\n        \"Orange.widgets.regression.owsvmregression.OWSVMRegression\",\n    ]\n    priority = 50\n    keywords = \"svm, support vector machines\"\n\n    LEARNER = SVMLearner\n\n    class Outputs(OWBaseLearner.Outputs):\n        support_vectors = Output(\"Support Vectors\", Table, explicit=True,\n                                 replaces=[\"Support vectors\"])\n\n    class Warning(OWBaseLearner.Warning):\n        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')\n\n    settings_version = 2\n\n    #: Different types of SVMs\n    SVM, Nu_SVM = range(2)\n    #: SVM type\n    svm_type = Setting(SVM)\n\n    C = Setting(1.)  # pylint: disable=invalid-name\n    epsilon = Setting(.1)\n    nu_C = Setting(1.)\n    nu = Setting(.5)  # pylint: disable=invalid-name\n\n    #: Kernel types\n    Linear, Poly, RBF, Sigmoid = range(4)\n    #: Selected kernel type\n    kernel_type = Setting(RBF)\n    #: kernel degree\n    degree = Setting(3)\n    #: gamma\n    gamma = Setting(0.0)\n    #: coef0 (adative constant)\n    coef0 = Setting(1.0)\n\n    #: numerical tolerance\n    tol = Setting(0.001)\n    #: whether or not to limit number of iterations\n    limit_iter = Setting(True)\n    #: maximum number of iterations\n    max_iter = Setting(100)\n\n    _default_gamma = \"auto\"\n    kernels = ((\"Linear\", \"x⋅y\"),\n               (\"Polynomial\", \"(g x⋅y + c)<sup>d</sup>\"),\n               (\"RBF\", \"exp(-g|x-y|²)\"),\n               (\"Sigmoid\", \"tanh(g x⋅y + c)\"))\n\n    def add_main_layout(self):\n        self._add_type_box()\n        self._add_kernel_box()\n        self._add_optimization_box()\n        self._show_right_kernel()\n\n    def _add_type_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        form = QGridLayout()\n        self.type_box = box = gui.radioButtonsInBox(\n            self.controlArea, self, \"svm_type\", [], box=\"SVM Type\",\n            orientation=form, callback=self._update_type)\n\n        self.epsilon_radio = gui.appendRadioButton(\n            box, \"SVM\", addToLayout=False)\n        self.c_spin = gui.doubleSpin(\n            box, self, \"C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.epsilon_spin = gui.doubleSpin(\n            box, self, \"epsilon\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Cost (C):\"), 0, 1, Qt.AlignRight)\n        form.addWidget(self.c_spin, 0, 2)\n        form.addWidget(QLabel(\n            \"Regression loss epsilon (ε):\"), 1, 1, Qt.AlignRight)\n        form.addWidget(self.epsilon_spin, 1, 2)\n\n        self.nu_radio = gui.appendRadioButton(box, \"ν-SVM\", addToLayout=False)\n        self.nu_C_spin = gui.doubleSpin(\n            box, self, \"nu_C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.nu_spin = gui.doubleSpin(\n            box, self, \"nu\", 0.05, 1.0, 0.05, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Regression cost (C):\"), 2, 1, Qt.AlignRight)\n        form.addWidget(self.nu_C_spin, 2, 2)\n        form.addWidget(QLabel(\"Complexity bound (ν):\"), 3, 1, Qt.AlignRight)\n        form.addWidget(self.nu_spin, 3, 2)\n\n        # Correctly enable/disable the appropriate boxes\n        self._update_type()\n\n    def _update_type(self):\n        # Enable/disable SVM type parameters depending on selected SVM type\n        if self.svm_type == self.SVM:\n            self.c_spin.setEnabled(True)\n            self.epsilon_spin.setEnabled(True)\n            self.nu_C_spin.setEnabled(False)\n            self.nu_spin.setEnabled(False)\n        else:\n            self.c_spin.setEnabled(False)\n            self.epsilon_spin.setEnabled(False)\n            self.nu_C_spin.setEnabled(True)\n            self.nu_spin.setEnabled(True)\n        self.settings_changed()\n\n    def _add_kernel_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        # Initialize with the widest label to measure max width\n        self.kernel_eq = self.kernels[-1][1]\n\n        box = gui.hBox(self.controlArea, \"Kernel\")\n\n        self.kernel_box = buttonbox = gui.radioButtonsInBox(\n            box, self, \"kernel_type\", btnLabels=[k[0] for k in self.kernels],\n            callback=self._on_kernel_changed)\n        buttonbox.layout().setSpacing(10)\n        gui.rubber(buttonbox)\n\n        parambox = gui.vBox(box)\n        gui.label(parambox, self, \"Kernel: %(kernel_eq)s\")\n        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,\n                      alignment=Qt.AlignRight, controlWidth=80)\n        spbox = gui.hBox(parambox)\n        gui.rubber(spbox)\n        inbox = gui.vBox(spbox)\n        gamma = gui.doubleSpin(\n            inbox, self, \"gamma\", 0.0, 10.0, 0.01, label=\" g: \", **common)\n        gamma.setSpecialValueText(self._default_gamma)\n        coef0 = gui.doubleSpin(\n            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)\n        degree = gui.spin(\n            inbox, self, \"degree\", 0, 10, 1, label=\" d: \", **common)\n        self._kernel_params = [gamma, coef0, degree]\n        gui.rubber(parambox)\n\n        # This is the maximal height (all double spins are visible)\n        # and the maximal width (the label is initialized to the widest one)\n        box.layout().activate()\n        box.setFixedHeight(box.sizeHint().height())\n        box.setMinimumWidth(box.sizeHint().width())\n\n    def _add_optimization_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        self.optimization_box = gui.vBox(\n            self.controlArea, \"Optimization Parameters\")\n        self.tol_spin = gui.doubleSpin(\n            self.optimization_box, self, \"tol\", 1e-4, 1.0, 1e-4,\n            label=\"Numerical tolerance: \",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed)\n        self.max_iter_spin = gui.spin(\n            self.optimization_box, self, \"max_iter\", 5, 1000000, 50,\n            label=\"Iteration limit: \", checked=\"limit_iter\",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed,\n            checkCallback=self.settings_changed)\n\n    def _show_right_kernel(self):\n        enabled = [[False, False, False],  # linear\n                   [True, True, True],  # poly\n                   [True, False, False],  # rbf\n                   [True, True, False]]  # sigmoid\n\n        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init\n        self.kernel_eq = self.kernels[self.kernel_type][1]\n        mask = enabled[self.kernel_type]\n        for spin, enabled in zip(self._kernel_params, mask):\n            [spin.box.hide, spin.box.show][enabled]()\n\n    def update_model(self):\n        super().update_model()\n        sv = None\n        if self.model is not None:\n            sv = self.data[self.model.skl_model.support_]\n        self.Outputs.support_vectors.send(sv)\n\n    def _on_kernel_changed(self):\n        self._show_right_kernel()\n        self.settings_changed()\n\n    @OWBaseLearner.Inputs.data\n    def set_data(self, data):\n        self.Warning.sparse_data.clear()\n        super().set_data(data)\n        if self.data and sp.issparse(self.data.X):\n            self.Warning.sparse_data()\n\n    def create_learner(self):\n        kernel = [\"linear\", \"poly\", \"rbf\", \"sigmoid\"][self.kernel_type]\n        common_args = {\n            'kernel': kernel,\n            'degree': self.degree,\n            'gamma': self.gamma or self._default_gamma,\n            'coef0': self.coef0,\n            'probability': True,\n            'tol': self.tol,\n            'max_iter': self.max_iter if self.limit_iter else -1,\n            'preprocessors': self.preprocessors\n        }\n        if self.svm_type == self.SVM:\n            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)\n        else:\n            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)\n\n    def get_learner_parameters(self):\n        items = OrderedDict()\n        if self.svm_type == self.SVM:\n            items[\"SVM type\"] = \"SVM, C={}, ε={}\".format(self.C, self.epsilon)\n        else:\n            items[\"SVM type\"] = \"ν-SVM, ν={}, C={}\".format(self.nu, self.nu_C)\n        self._report_kernel_parameters(items)\n        items[\"Numerical tolerance\"] = \"{:.6}\".format(self.tol)\n        items[\"Iteration limt\"] = self.max_iter if self.limit_iter else \"unlimited\"\n        return items\n\n    def _report_kernel_parameters(self, items):\n        gamma = self.gamma or self._default_gamma\n        if self.kernel_type == 0:\n            items[\"Kernel\"] = \"Linear\"\n        elif self.kernel_type == 1:\n            items[\"Kernel\"] = \\\n                \"Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>\".format(\n                    g=gamma, c=self.coef0, d=self.degree)\n        elif self.kernel_type == 2:\n            items[\"Kernel\"] = \"RBF, exp(-{:.4}|x-y|²)\".format(gamma)\n        else:\n            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x⋅y + {c:.4})\".format(\n                g=gamma, c=self.coef0)\n\n    @classmethod\n    def migrate_settings(cls, settings, version):\n        if version < 2:\n            if \"degree\" in settings:\n                settings[\"degree\"] = int(settings[\"degree\"])",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 17,
                            "end_lineno": 264,
                            "parent": null
                        }
                    ],
                    "added_entities": [],
                    "deleted_entities": []
                },
                {
                    "descriptor": {
                        "old_range": {
                            "start": 156,
                            "length": 8
                        },
                        "new_range": {
                            "start": 158,
                            "length": 8
                        },
                        "section": "class OWSVM(OWBaseLearner):"
                    },
                    "line_group": {
                        "all_lines": [
                            {
                                "content": "        gamma.setSpecialValueText(self._default_gamma)",
                                "type": "context"
                            },
                            {
                                "content": "        coef0 = gui.doubleSpin(",
                                "type": "context"
                            },
                            {
                                "content": "            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)",
                                "type": "context"
                            },
                            {
                                "content": "        degree = gui.doubleSpin(",
                                "type": "deleted"
                            },
                            {
                                "content": "            inbox, self, \"degree\", 0.0, 10.0, 0.5, label=\" d: \", **common)",
                                "type": "deleted"
                            },
                            {
                                "content": "        degree = gui.spin(",
                                "type": "added"
                            },
                            {
                                "content": "            inbox, self, \"degree\", 0, 10, 1, label=\" d: \", **common)",
                                "type": "added"
                            },
                            {
                                "content": "        self._kernel_params = [gamma, coef0, degree]",
                                "type": "context"
                            },
                            {
                                "content": "        gui.rubber(parambox)",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            }
                        ]
                    },
                    "modified_entities": [
                        {
                            "file_name": "Orange/widgets/model/owsvm.py",
                            "type": "method",
                            "name": "OWSVM._add_kernel_box",
                            "content": "class OWSVM(OWBaseLearner):\n    name = 'SVM'\n    description = \"Support Vector Machines map inputs to higher-dimensional \" \\\n                  \"feature spaces.\"\n    icon = \"icons/SVM.svg\"\n    replaces = [\n        \"Orange.widgets.classify.owsvmclassification.OWSVMClassification\",\n        \"Orange.widgets.regression.owsvmregression.OWSVMRegression\",\n    ]\n    priority = 50\n    keywords = \"svm, support vector machines\"\n\n    LEARNER = SVMLearner\n\n    class Outputs(OWBaseLearner.Outputs):\n        support_vectors = Output(\"Support Vectors\", Table, explicit=True,\n                                 replaces=[\"Support vectors\"])\n\n    class Warning(OWBaseLearner.Warning):\n        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')\n\n    #: Different types of SVMs\n    SVM, Nu_SVM = range(2)\n    #: SVM type\n    svm_type = Setting(SVM)\n\n    C = Setting(1.)  # pylint: disable=invalid-name\n    epsilon = Setting(.1)\n    nu_C = Setting(1.)\n    nu = Setting(.5)  # pylint: disable=invalid-name\n\n    #: Kernel types\n    Linear, Poly, RBF, Sigmoid = range(4)\n    #: Selected kernel type\n    kernel_type = Setting(RBF)\n    #: kernel degree\n    degree = Setting(3)\n    #: gamma\n    gamma = Setting(0.0)\n    #: coef0 (adative constant)\n    coef0 = Setting(1.0)\n\n    #: numerical tolerance\n    tol = Setting(0.001)\n    #: whether or not to limit number of iterations\n    limit_iter = Setting(True)\n    #: maximum number of iterations\n    max_iter = Setting(100)\n\n    _default_gamma = \"auto\"\n    kernels = ((\"Linear\", \"x⋅y\"),\n               (\"Polynomial\", \"(g x⋅y + c)<sup>d</sup>\"),\n               (\"RBF\", \"exp(-g|x-y|²)\"),\n               (\"Sigmoid\", \"tanh(g x⋅y + c)\"))\n\n    def add_main_layout(self):\n        self._add_type_box()\n        self._add_kernel_box()\n        self._add_optimization_box()\n        self._show_right_kernel()\n\n    def _add_type_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        form = QGridLayout()\n        self.type_box = box = gui.radioButtonsInBox(\n            self.controlArea, self, \"svm_type\", [], box=\"SVM Type\",\n            orientation=form, callback=self._update_type)\n\n        self.epsilon_radio = gui.appendRadioButton(\n            box, \"SVM\", addToLayout=False)\n        self.c_spin = gui.doubleSpin(\n            box, self, \"C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.epsilon_spin = gui.doubleSpin(\n            box, self, \"epsilon\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Cost (C):\"), 0, 1, Qt.AlignRight)\n        form.addWidget(self.c_spin, 0, 2)\n        form.addWidget(QLabel(\n            \"Regression loss epsilon (ε):\"), 1, 1, Qt.AlignRight)\n        form.addWidget(self.epsilon_spin, 1, 2)\n\n        self.nu_radio = gui.appendRadioButton(box, \"ν-SVM\", addToLayout=False)\n        self.nu_C_spin = gui.doubleSpin(\n            box, self, \"nu_C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.nu_spin = gui.doubleSpin(\n            box, self, \"nu\", 0.05, 1.0, 0.05, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Regression cost (C):\"), 2, 1, Qt.AlignRight)\n        form.addWidget(self.nu_C_spin, 2, 2)\n        form.addWidget(QLabel(\"Complexity bound (ν):\"), 3, 1, Qt.AlignRight)\n        form.addWidget(self.nu_spin, 3, 2)\n\n        # Correctly enable/disable the appropriate boxes\n        self._update_type()\n\n    def _update_type(self):\n        # Enable/disable SVM type parameters depending on selected SVM type\n        if self.svm_type == self.SVM:\n            self.c_spin.setEnabled(True)\n            self.epsilon_spin.setEnabled(True)\n            self.nu_C_spin.setEnabled(False)\n            self.nu_spin.setEnabled(False)\n        else:\n            self.c_spin.setEnabled(False)\n            self.epsilon_spin.setEnabled(False)\n            self.nu_C_spin.setEnabled(True)\n            self.nu_spin.setEnabled(True)\n        self.settings_changed()\n\n    def _add_kernel_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        # Initialize with the widest label to measure max width\n        self.kernel_eq = self.kernels[-1][1]\n\n        box = gui.hBox(self.controlArea, \"Kernel\")\n\n        self.kernel_box = buttonbox = gui.radioButtonsInBox(\n            box, self, \"kernel_type\", btnLabels=[k[0] for k in self.kernels],\n            callback=self._on_kernel_changed)\n        buttonbox.layout().setSpacing(10)\n        gui.rubber(buttonbox)\n\n        parambox = gui.vBox(box)\n        gui.label(parambox, self, \"Kernel: %(kernel_eq)s\")\n        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,\n                      alignment=Qt.AlignRight, controlWidth=80)\n        spbox = gui.hBox(parambox)\n        gui.rubber(spbox)\n        inbox = gui.vBox(spbox)\n        gamma = gui.doubleSpin(\n            inbox, self, \"gamma\", 0.0, 10.0, 0.01, label=\" g: \", **common)\n        gamma.setSpecialValueText(self._default_gamma)\n        coef0 = gui.doubleSpin(\n            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)\n        degree = gui.doubleSpin(\n            inbox, self, \"degree\", 0.0, 10.0, 0.5, label=\" d: \", **common)\n        self._kernel_params = [gamma, coef0, degree]\n        gui.rubber(parambox)\n\n        # This is the maximal height (all double spins are visible)\n        # and the maximal width (the label is initialized to the widest one)\n        box.layout().activate()\n        box.setFixedHeight(box.sizeHint().height())\n        box.setMinimumWidth(box.sizeHint().width())\n\n    def _add_optimization_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        self.optimization_box = gui.vBox(\n            self.controlArea, \"Optimization Parameters\")\n        self.tol_spin = gui.doubleSpin(\n            self.optimization_box, self, \"tol\", 1e-4, 1.0, 1e-4,\n            label=\"Numerical tolerance: \",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed)\n        self.max_iter_spin = gui.spin(\n            self.optimization_box, self, \"max_iter\", 5, 1000000, 50,\n            label=\"Iteration limit: \", checked=\"limit_iter\",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed,\n            checkCallback=self.settings_changed)\n\n    def _show_right_kernel(self):\n        enabled = [[False, False, False],  # linear\n                   [True, True, True],  # poly\n                   [True, False, False],  # rbf\n                   [True, True, False]]  # sigmoid\n\n        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init\n        self.kernel_eq = self.kernels[self.kernel_type][1]\n        mask = enabled[self.kernel_type]\n        for spin, enabled in zip(self._kernel_params, mask):\n            [spin.box.hide, spin.box.show][enabled]()\n\n    def update_model(self):\n        super().update_model()\n        sv = None\n        if self.model is not None:\n            sv = self.data[self.model.skl_model.support_]\n        self.Outputs.support_vectors.send(sv)\n\n    def _on_kernel_changed(self):\n        self._show_right_kernel()\n        self.settings_changed()\n\n    @OWBaseLearner.Inputs.data\n    def set_data(self, data):\n        self.Warning.sparse_data.clear()\n        super().set_data(data)\n        if self.data and sp.issparse(self.data.X):\n            self.Warning.sparse_data()\n\n    def create_learner(self):\n        kernel = [\"linear\", \"poly\", \"rbf\", \"sigmoid\"][self.kernel_type]\n        common_args = {\n            'kernel': kernel,\n            'degree': self.degree,\n            'gamma': self.gamma or self._default_gamma,\n            'coef0': self.coef0,\n            'probability': True,\n            'tol': self.tol,\n            'max_iter': self.max_iter if self.limit_iter else -1,\n            'preprocessors': self.preprocessors\n        }\n        if self.svm_type == self.SVM:\n            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)\n        else:\n            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)\n\n    def get_learner_parameters(self):\n        items = OrderedDict()\n        if self.svm_type == self.SVM:\n            items[\"SVM type\"] = \"SVM, C={}, ε={}\".format(self.C, self.epsilon)\n        else:\n            items[\"SVM type\"] = \"ν-SVM, ν={}, C={}\".format(self.nu, self.nu_C)\n        self._report_kernel_parameters(items)\n        items[\"Numerical tolerance\"] = \"{:.6}\".format(self.tol)\n        items[\"Iteration limt\"] = self.max_iter if self.limit_iter else \"unlimited\"\n        return items\n\n    def _report_kernel_parameters(self, items):\n        gamma = self.gamma or self._default_gamma\n        if self.kernel_type == 0:\n            items[\"Kernel\"] = \"Linear\"\n        elif self.kernel_type == 1:\n            items[\"Kernel\"] = \\\n                \"Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>\".format(\n                    g=gamma, c=self.coef0, d=self.degree)\n        elif self.kernel_type == 2:\n            items[\"Kernel\"] = \"RBF, exp(-{:.4}|x-y|²)\".format(gamma)\n        else:\n            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x⋅y + {c:.4})\".format(\n                g=gamma, c=self.coef0)",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 134,
                            "end_lineno": 168,
                            "parent": {
                                "file_name": "Orange/widgets/model/owsvm.py",
                                "type": "class",
                                "name": "OWSVM",
                                "content": "class OWSVM(OWBaseLearner):\n    name = 'SVM'\n    description = \"Support Vector Machines map inputs to higher-dimensional \" \\\n                  \"feature spaces.\"\n    icon = \"icons/SVM.svg\"\n    replaces = [\n        \"Orange.widgets.classify.owsvmclassification.OWSVMClassification\",\n        \"Orange.widgets.regression.owsvmregression.OWSVMRegression\",\n    ]\n    priority = 50\n    keywords = \"svm, support vector machines\"\n\n    LEARNER = SVMLearner\n\n    class Outputs(OWBaseLearner.Outputs):\n        support_vectors = Output(\"Support Vectors\", Table, explicit=True,\n                                 replaces=[\"Support vectors\"])\n\n    class Warning(OWBaseLearner.Warning):\n        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')\n\n    #: Different types of SVMs\n    SVM, Nu_SVM = range(2)\n    #: SVM type\n    svm_type = Setting(SVM)\n\n    C = Setting(1.)  # pylint: disable=invalid-name\n    epsilon = Setting(.1)\n    nu_C = Setting(1.)\n    nu = Setting(.5)  # pylint: disable=invalid-name\n\n    #: Kernel types\n    Linear, Poly, RBF, Sigmoid = range(4)\n    #: Selected kernel type\n    kernel_type = Setting(RBF)\n    #: kernel degree\n    degree = Setting(3)\n    #: gamma\n    gamma = Setting(0.0)\n    #: coef0 (adative constant)\n    coef0 = Setting(1.0)\n\n    #: numerical tolerance\n    tol = Setting(0.001)\n    #: whether or not to limit number of iterations\n    limit_iter = Setting(True)\n    #: maximum number of iterations\n    max_iter = Setting(100)\n\n    _default_gamma = \"auto\"\n    kernels = ((\"Linear\", \"x⋅y\"),\n               (\"Polynomial\", \"(g x⋅y + c)<sup>d</sup>\"),\n               (\"RBF\", \"exp(-g|x-y|²)\"),\n               (\"Sigmoid\", \"tanh(g x⋅y + c)\"))\n\n    def add_main_layout(self):\n        self._add_type_box()\n        self._add_kernel_box()\n        self._add_optimization_box()\n        self._show_right_kernel()\n\n    def _add_type_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        form = QGridLayout()\n        self.type_box = box = gui.radioButtonsInBox(\n            self.controlArea, self, \"svm_type\", [], box=\"SVM Type\",\n            orientation=form, callback=self._update_type)\n\n        self.epsilon_radio = gui.appendRadioButton(\n            box, \"SVM\", addToLayout=False)\n        self.c_spin = gui.doubleSpin(\n            box, self, \"C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.epsilon_spin = gui.doubleSpin(\n            box, self, \"epsilon\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Cost (C):\"), 0, 1, Qt.AlignRight)\n        form.addWidget(self.c_spin, 0, 2)\n        form.addWidget(QLabel(\n            \"Regression loss epsilon (ε):\"), 1, 1, Qt.AlignRight)\n        form.addWidget(self.epsilon_spin, 1, 2)\n\n        self.nu_radio = gui.appendRadioButton(box, \"ν-SVM\", addToLayout=False)\n        self.nu_C_spin = gui.doubleSpin(\n            box, self, \"nu_C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.nu_spin = gui.doubleSpin(\n            box, self, \"nu\", 0.05, 1.0, 0.05, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Regression cost (C):\"), 2, 1, Qt.AlignRight)\n        form.addWidget(self.nu_C_spin, 2, 2)\n        form.addWidget(QLabel(\"Complexity bound (ν):\"), 3, 1, Qt.AlignRight)\n        form.addWidget(self.nu_spin, 3, 2)\n\n        # Correctly enable/disable the appropriate boxes\n        self._update_type()\n\n    def _update_type(self):\n        # Enable/disable SVM type parameters depending on selected SVM type\n        if self.svm_type == self.SVM:\n            self.c_spin.setEnabled(True)\n            self.epsilon_spin.setEnabled(True)\n            self.nu_C_spin.setEnabled(False)\n            self.nu_spin.setEnabled(False)\n        else:\n            self.c_spin.setEnabled(False)\n            self.epsilon_spin.setEnabled(False)\n            self.nu_C_spin.setEnabled(True)\n            self.nu_spin.setEnabled(True)\n        self.settings_changed()\n\n    def _add_kernel_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        # Initialize with the widest label to measure max width\n        self.kernel_eq = self.kernels[-1][1]\n\n        box = gui.hBox(self.controlArea, \"Kernel\")\n\n        self.kernel_box = buttonbox = gui.radioButtonsInBox(\n            box, self, \"kernel_type\", btnLabels=[k[0] for k in self.kernels],\n            callback=self._on_kernel_changed)\n        buttonbox.layout().setSpacing(10)\n        gui.rubber(buttonbox)\n\n        parambox = gui.vBox(box)\n        gui.label(parambox, self, \"Kernel: %(kernel_eq)s\")\n        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,\n                      alignment=Qt.AlignRight, controlWidth=80)\n        spbox = gui.hBox(parambox)\n        gui.rubber(spbox)\n        inbox = gui.vBox(spbox)\n        gamma = gui.doubleSpin(\n            inbox, self, \"gamma\", 0.0, 10.0, 0.01, label=\" g: \", **common)\n        gamma.setSpecialValueText(self._default_gamma)\n        coef0 = gui.doubleSpin(\n            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)\n        degree = gui.doubleSpin(\n            inbox, self, \"degree\", 0.0, 10.0, 0.5, label=\" d: \", **common)\n        self._kernel_params = [gamma, coef0, degree]\n        gui.rubber(parambox)\n\n        # This is the maximal height (all double spins are visible)\n        # and the maximal width (the label is initialized to the widest one)\n        box.layout().activate()\n        box.setFixedHeight(box.sizeHint().height())\n        box.setMinimumWidth(box.sizeHint().width())\n\n    def _add_optimization_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        self.optimization_box = gui.vBox(\n            self.controlArea, \"Optimization Parameters\")\n        self.tol_spin = gui.doubleSpin(\n            self.optimization_box, self, \"tol\", 1e-4, 1.0, 1e-4,\n            label=\"Numerical tolerance: \",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed)\n        self.max_iter_spin = gui.spin(\n            self.optimization_box, self, \"max_iter\", 5, 1000000, 50,\n            label=\"Iteration limit: \", checked=\"limit_iter\",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed,\n            checkCallback=self.settings_changed)\n\n    def _show_right_kernel(self):\n        enabled = [[False, False, False],  # linear\n                   [True, True, True],  # poly\n                   [True, False, False],  # rbf\n                   [True, True, False]]  # sigmoid\n\n        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init\n        self.kernel_eq = self.kernels[self.kernel_type][1]\n        mask = enabled[self.kernel_type]\n        for spin, enabled in zip(self._kernel_params, mask):\n            [spin.box.hide, spin.box.show][enabled]()\n\n    def update_model(self):\n        super().update_model()\n        sv = None\n        if self.model is not None:\n            sv = self.data[self.model.skl_model.support_]\n        self.Outputs.support_vectors.send(sv)\n\n    def _on_kernel_changed(self):\n        self._show_right_kernel()\n        self.settings_changed()\n\n    @OWBaseLearner.Inputs.data\n    def set_data(self, data):\n        self.Warning.sparse_data.clear()\n        super().set_data(data)\n        if self.data and sp.issparse(self.data.X):\n            self.Warning.sparse_data()\n\n    def create_learner(self):\n        kernel = [\"linear\", \"poly\", \"rbf\", \"sigmoid\"][self.kernel_type]\n        common_args = {\n            'kernel': kernel,\n            'degree': self.degree,\n            'gamma': self.gamma or self._default_gamma,\n            'coef0': self.coef0,\n            'probability': True,\n            'tol': self.tol,\n            'max_iter': self.max_iter if self.limit_iter else -1,\n            'preprocessors': self.preprocessors\n        }\n        if self.svm_type == self.SVM:\n            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)\n        else:\n            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)\n\n    def get_learner_parameters(self):\n        items = OrderedDict()\n        if self.svm_type == self.SVM:\n            items[\"SVM type\"] = \"SVM, C={}, ε={}\".format(self.C, self.epsilon)\n        else:\n            items[\"SVM type\"] = \"ν-SVM, ν={}, C={}\".format(self.nu, self.nu_C)\n        self._report_kernel_parameters(items)\n        items[\"Numerical tolerance\"] = \"{:.6}\".format(self.tol)\n        items[\"Iteration limt\"] = self.max_iter if self.limit_iter else \"unlimited\"\n        return items\n\n    def _report_kernel_parameters(self, items):\n        gamma = self.gamma or self._default_gamma\n        if self.kernel_type == 0:\n            items[\"Kernel\"] = \"Linear\"\n        elif self.kernel_type == 1:\n            items[\"Kernel\"] = \\\n                \"Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>\".format(\n                    g=gamma, c=self.coef0, d=self.degree)\n        elif self.kernel_type == 2:\n            items[\"Kernel\"] = \"RBF, exp(-{:.4}|x-y|²)\".format(gamma)\n        else:\n            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x⋅y + {c:.4})\".format(\n                g=gamma, c=self.coef0)",
                                "ast_type_str": "ClassDef",
                                "start_lineno": 17,
                                "end_lineno": 256,
                                "parent": null
                            }
                        },
                        {
                            "file_name": "Orange/widgets/model/owsvm.py",
                            "type": "class",
                            "name": "OWSVM",
                            "content": "class OWSVM(OWBaseLearner):\n    name = 'SVM'\n    description = \"Support Vector Machines map inputs to higher-dimensional \" \\\n                  \"feature spaces.\"\n    icon = \"icons/SVM.svg\"\n    replaces = [\n        \"Orange.widgets.classify.owsvmclassification.OWSVMClassification\",\n        \"Orange.widgets.regression.owsvmregression.OWSVMRegression\",\n    ]\n    priority = 50\n    keywords = \"svm, support vector machines\"\n\n    LEARNER = SVMLearner\n\n    class Outputs(OWBaseLearner.Outputs):\n        support_vectors = Output(\"Support Vectors\", Table, explicit=True,\n                                 replaces=[\"Support vectors\"])\n\n    class Warning(OWBaseLearner.Warning):\n        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')\n\n    #: Different types of SVMs\n    SVM, Nu_SVM = range(2)\n    #: SVM type\n    svm_type = Setting(SVM)\n\n    C = Setting(1.)  # pylint: disable=invalid-name\n    epsilon = Setting(.1)\n    nu_C = Setting(1.)\n    nu = Setting(.5)  # pylint: disable=invalid-name\n\n    #: Kernel types\n    Linear, Poly, RBF, Sigmoid = range(4)\n    #: Selected kernel type\n    kernel_type = Setting(RBF)\n    #: kernel degree\n    degree = Setting(3)\n    #: gamma\n    gamma = Setting(0.0)\n    #: coef0 (adative constant)\n    coef0 = Setting(1.0)\n\n    #: numerical tolerance\n    tol = Setting(0.001)\n    #: whether or not to limit number of iterations\n    limit_iter = Setting(True)\n    #: maximum number of iterations\n    max_iter = Setting(100)\n\n    _default_gamma = \"auto\"\n    kernels = ((\"Linear\", \"x⋅y\"),\n               (\"Polynomial\", \"(g x⋅y + c)<sup>d</sup>\"),\n               (\"RBF\", \"exp(-g|x-y|²)\"),\n               (\"Sigmoid\", \"tanh(g x⋅y + c)\"))\n\n    def add_main_layout(self):\n        self._add_type_box()\n        self._add_kernel_box()\n        self._add_optimization_box()\n        self._show_right_kernel()\n\n    def _add_type_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        form = QGridLayout()\n        self.type_box = box = gui.radioButtonsInBox(\n            self.controlArea, self, \"svm_type\", [], box=\"SVM Type\",\n            orientation=form, callback=self._update_type)\n\n        self.epsilon_radio = gui.appendRadioButton(\n            box, \"SVM\", addToLayout=False)\n        self.c_spin = gui.doubleSpin(\n            box, self, \"C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.epsilon_spin = gui.doubleSpin(\n            box, self, \"epsilon\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Cost (C):\"), 0, 1, Qt.AlignRight)\n        form.addWidget(self.c_spin, 0, 2)\n        form.addWidget(QLabel(\n            \"Regression loss epsilon (ε):\"), 1, 1, Qt.AlignRight)\n        form.addWidget(self.epsilon_spin, 1, 2)\n\n        self.nu_radio = gui.appendRadioButton(box, \"ν-SVM\", addToLayout=False)\n        self.nu_C_spin = gui.doubleSpin(\n            box, self, \"nu_C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.nu_spin = gui.doubleSpin(\n            box, self, \"nu\", 0.05, 1.0, 0.05, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Regression cost (C):\"), 2, 1, Qt.AlignRight)\n        form.addWidget(self.nu_C_spin, 2, 2)\n        form.addWidget(QLabel(\"Complexity bound (ν):\"), 3, 1, Qt.AlignRight)\n        form.addWidget(self.nu_spin, 3, 2)\n\n        # Correctly enable/disable the appropriate boxes\n        self._update_type()\n\n    def _update_type(self):\n        # Enable/disable SVM type parameters depending on selected SVM type\n        if self.svm_type == self.SVM:\n            self.c_spin.setEnabled(True)\n            self.epsilon_spin.setEnabled(True)\n            self.nu_C_spin.setEnabled(False)\n            self.nu_spin.setEnabled(False)\n        else:\n            self.c_spin.setEnabled(False)\n            self.epsilon_spin.setEnabled(False)\n            self.nu_C_spin.setEnabled(True)\n            self.nu_spin.setEnabled(True)\n        self.settings_changed()\n\n    def _add_kernel_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        # Initialize with the widest label to measure max width\n        self.kernel_eq = self.kernels[-1][1]\n\n        box = gui.hBox(self.controlArea, \"Kernel\")\n\n        self.kernel_box = buttonbox = gui.radioButtonsInBox(\n            box, self, \"kernel_type\", btnLabels=[k[0] for k in self.kernels],\n            callback=self._on_kernel_changed)\n        buttonbox.layout().setSpacing(10)\n        gui.rubber(buttonbox)\n\n        parambox = gui.vBox(box)\n        gui.label(parambox, self, \"Kernel: %(kernel_eq)s\")\n        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,\n                      alignment=Qt.AlignRight, controlWidth=80)\n        spbox = gui.hBox(parambox)\n        gui.rubber(spbox)\n        inbox = gui.vBox(spbox)\n        gamma = gui.doubleSpin(\n            inbox, self, \"gamma\", 0.0, 10.0, 0.01, label=\" g: \", **common)\n        gamma.setSpecialValueText(self._default_gamma)\n        coef0 = gui.doubleSpin(\n            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)\n        degree = gui.doubleSpin(\n            inbox, self, \"degree\", 0.0, 10.0, 0.5, label=\" d: \", **common)\n        self._kernel_params = [gamma, coef0, degree]\n        gui.rubber(parambox)\n\n        # This is the maximal height (all double spins are visible)\n        # and the maximal width (the label is initialized to the widest one)\n        box.layout().activate()\n        box.setFixedHeight(box.sizeHint().height())\n        box.setMinimumWidth(box.sizeHint().width())\n\n    def _add_optimization_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        self.optimization_box = gui.vBox(\n            self.controlArea, \"Optimization Parameters\")\n        self.tol_spin = gui.doubleSpin(\n            self.optimization_box, self, \"tol\", 1e-4, 1.0, 1e-4,\n            label=\"Numerical tolerance: \",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed)\n        self.max_iter_spin = gui.spin(\n            self.optimization_box, self, \"max_iter\", 5, 1000000, 50,\n            label=\"Iteration limit: \", checked=\"limit_iter\",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed,\n            checkCallback=self.settings_changed)\n\n    def _show_right_kernel(self):\n        enabled = [[False, False, False],  # linear\n                   [True, True, True],  # poly\n                   [True, False, False],  # rbf\n                   [True, True, False]]  # sigmoid\n\n        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init\n        self.kernel_eq = self.kernels[self.kernel_type][1]\n        mask = enabled[self.kernel_type]\n        for spin, enabled in zip(self._kernel_params, mask):\n            [spin.box.hide, spin.box.show][enabled]()\n\n    def update_model(self):\n        super().update_model()\n        sv = None\n        if self.model is not None:\n            sv = self.data[self.model.skl_model.support_]\n        self.Outputs.support_vectors.send(sv)\n\n    def _on_kernel_changed(self):\n        self._show_right_kernel()\n        self.settings_changed()\n\n    @OWBaseLearner.Inputs.data\n    def set_data(self, data):\n        self.Warning.sparse_data.clear()\n        super().set_data(data)\n        if self.data and sp.issparse(self.data.X):\n            self.Warning.sparse_data()\n\n    def create_learner(self):\n        kernel = [\"linear\", \"poly\", \"rbf\", \"sigmoid\"][self.kernel_type]\n        common_args = {\n            'kernel': kernel,\n            'degree': self.degree,\n            'gamma': self.gamma or self._default_gamma,\n            'coef0': self.coef0,\n            'probability': True,\n            'tol': self.tol,\n            'max_iter': self.max_iter if self.limit_iter else -1,\n            'preprocessors': self.preprocessors\n        }\n        if self.svm_type == self.SVM:\n            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)\n        else:\n            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)\n\n    def get_learner_parameters(self):\n        items = OrderedDict()\n        if self.svm_type == self.SVM:\n            items[\"SVM type\"] = \"SVM, C={}, ε={}\".format(self.C, self.epsilon)\n        else:\n            items[\"SVM type\"] = \"ν-SVM, ν={}, C={}\".format(self.nu, self.nu_C)\n        self._report_kernel_parameters(items)\n        items[\"Numerical tolerance\"] = \"{:.6}\".format(self.tol)\n        items[\"Iteration limt\"] = self.max_iter if self.limit_iter else \"unlimited\"\n        return items\n\n    def _report_kernel_parameters(self, items):\n        gamma = self.gamma or self._default_gamma\n        if self.kernel_type == 0:\n            items[\"Kernel\"] = \"Linear\"\n        elif self.kernel_type == 1:\n            items[\"Kernel\"] = \\\n                \"Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>\".format(\n                    g=gamma, c=self.coef0, d=self.degree)\n        elif self.kernel_type == 2:\n            items[\"Kernel\"] = \"RBF, exp(-{:.4}|x-y|²)\".format(gamma)\n        else:\n            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x⋅y + {c:.4})\".format(\n                g=gamma, c=self.coef0)",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 17,
                            "end_lineno": 256,
                            "parent": null
                        }
                    ],
                    "added_entities": [],
                    "deleted_entities": []
                },
                {
                    "descriptor": {
                        "old_range": {
                            "start": 255,
                            "length": 6
                        },
                        "new_range": {
                            "start": 257,
                            "length": 12
                        },
                        "section": "class OWSVM(OWBaseLearner):"
                    },
                    "line_group": {
                        "all_lines": [
                            {
                                "content": "            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x⋅y + {c:.4})\".format(",
                                "type": "context"
                            },
                            {
                                "content": "                g=gamma, c=self.coef0)",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "    @classmethod",
                                "type": "added"
                            },
                            {
                                "content": "    def migrate_settings(cls, settings, version):",
                                "type": "added"
                            },
                            {
                                "content": "        if version < 2:",
                                "type": "added"
                            },
                            {
                                "content": "            if \"degree\" in settings:",
                                "type": "added"
                            },
                            {
                                "content": "                settings[\"degree\"] = int(settings[\"degree\"])",
                                "type": "added"
                            },
                            {
                                "content": "",
                                "type": "added"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "if __name__ == \"__main__\":  # pragma: no cover",
                                "type": "context"
                            },
                            {
                                "content": "    WidgetPreview(OWSVM).run(Table(\"iris\"))",
                                "type": "context"
                            }
                        ]
                    },
                    "modified_entities": [
                        {
                            "file_name": "Orange/widgets/model/owsvm.py",
                            "type": "class",
                            "name": "OWSVM",
                            "content": "class OWSVM(OWBaseLearner):\n    name = 'SVM'\n    description = \"Support Vector Machines map inputs to higher-dimensional \" \\\n                  \"feature spaces.\"\n    icon = \"icons/SVM.svg\"\n    replaces = [\n        \"Orange.widgets.classify.owsvmclassification.OWSVMClassification\",\n        \"Orange.widgets.regression.owsvmregression.OWSVMRegression\",\n    ]\n    priority = 50\n    keywords = \"svm, support vector machines\"\n\n    LEARNER = SVMLearner\n\n    class Outputs(OWBaseLearner.Outputs):\n        support_vectors = Output(\"Support Vectors\", Table, explicit=True,\n                                 replaces=[\"Support vectors\"])\n\n    class Warning(OWBaseLearner.Warning):\n        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')\n\n    settings_version = 2\n\n    #: Different types of SVMs\n    SVM, Nu_SVM = range(2)\n    #: SVM type\n    svm_type = Setting(SVM)\n\n    C = Setting(1.)  # pylint: disable=invalid-name\n    epsilon = Setting(.1)\n    nu_C = Setting(1.)\n    nu = Setting(.5)  # pylint: disable=invalid-name\n\n    #: Kernel types\n    Linear, Poly, RBF, Sigmoid = range(4)\n    #: Selected kernel type\n    kernel_type = Setting(RBF)\n    #: kernel degree\n    degree = Setting(3)\n    #: gamma\n    gamma = Setting(0.0)\n    #: coef0 (adative constant)\n    coef0 = Setting(1.0)\n\n    #: numerical tolerance\n    tol = Setting(0.001)\n    #: whether or not to limit number of iterations\n    limit_iter = Setting(True)\n    #: maximum number of iterations\n    max_iter = Setting(100)\n\n    _default_gamma = \"auto\"\n    kernels = ((\"Linear\", \"x⋅y\"),\n               (\"Polynomial\", \"(g x⋅y + c)<sup>d</sup>\"),\n               (\"RBF\", \"exp(-g|x-y|²)\"),\n               (\"Sigmoid\", \"tanh(g x⋅y + c)\"))\n\n    def add_main_layout(self):\n        self._add_type_box()\n        self._add_kernel_box()\n        self._add_optimization_box()\n        self._show_right_kernel()\n\n    def _add_type_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        form = QGridLayout()\n        self.type_box = box = gui.radioButtonsInBox(\n            self.controlArea, self, \"svm_type\", [], box=\"SVM Type\",\n            orientation=form, callback=self._update_type)\n\n        self.epsilon_radio = gui.appendRadioButton(\n            box, \"SVM\", addToLayout=False)\n        self.c_spin = gui.doubleSpin(\n            box, self, \"C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.epsilon_spin = gui.doubleSpin(\n            box, self, \"epsilon\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Cost (C):\"), 0, 1, Qt.AlignRight)\n        form.addWidget(self.c_spin, 0, 2)\n        form.addWidget(QLabel(\n            \"Regression loss epsilon (ε):\"), 1, 1, Qt.AlignRight)\n        form.addWidget(self.epsilon_spin, 1, 2)\n\n        self.nu_radio = gui.appendRadioButton(box, \"ν-SVM\", addToLayout=False)\n        self.nu_C_spin = gui.doubleSpin(\n            box, self, \"nu_C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.nu_spin = gui.doubleSpin(\n            box, self, \"nu\", 0.05, 1.0, 0.05, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Regression cost (C):\"), 2, 1, Qt.AlignRight)\n        form.addWidget(self.nu_C_spin, 2, 2)\n        form.addWidget(QLabel(\"Complexity bound (ν):\"), 3, 1, Qt.AlignRight)\n        form.addWidget(self.nu_spin, 3, 2)\n\n        # Correctly enable/disable the appropriate boxes\n        self._update_type()\n\n    def _update_type(self):\n        # Enable/disable SVM type parameters depending on selected SVM type\n        if self.svm_type == self.SVM:\n            self.c_spin.setEnabled(True)\n            self.epsilon_spin.setEnabled(True)\n            self.nu_C_spin.setEnabled(False)\n            self.nu_spin.setEnabled(False)\n        else:\n            self.c_spin.setEnabled(False)\n            self.epsilon_spin.setEnabled(False)\n            self.nu_C_spin.setEnabled(True)\n            self.nu_spin.setEnabled(True)\n        self.settings_changed()\n\n    def _add_kernel_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        # Initialize with the widest label to measure max width\n        self.kernel_eq = self.kernels[-1][1]\n\n        box = gui.hBox(self.controlArea, \"Kernel\")\n\n        self.kernel_box = buttonbox = gui.radioButtonsInBox(\n            box, self, \"kernel_type\", btnLabels=[k[0] for k in self.kernels],\n            callback=self._on_kernel_changed)\n        buttonbox.layout().setSpacing(10)\n        gui.rubber(buttonbox)\n\n        parambox = gui.vBox(box)\n        gui.label(parambox, self, \"Kernel: %(kernel_eq)s\")\n        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,\n                      alignment=Qt.AlignRight, controlWidth=80)\n        spbox = gui.hBox(parambox)\n        gui.rubber(spbox)\n        inbox = gui.vBox(spbox)\n        gamma = gui.doubleSpin(\n            inbox, self, \"gamma\", 0.0, 10.0, 0.01, label=\" g: \", **common)\n        gamma.setSpecialValueText(self._default_gamma)\n        coef0 = gui.doubleSpin(\n            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)\n        degree = gui.spin(\n            inbox, self, \"degree\", 0, 10, 1, label=\" d: \", **common)\n        self._kernel_params = [gamma, coef0, degree]\n        gui.rubber(parambox)\n\n        # This is the maximal height (all double spins are visible)\n        # and the maximal width (the label is initialized to the widest one)\n        box.layout().activate()\n        box.setFixedHeight(box.sizeHint().height())\n        box.setMinimumWidth(box.sizeHint().width())\n\n    def _add_optimization_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        self.optimization_box = gui.vBox(\n            self.controlArea, \"Optimization Parameters\")\n        self.tol_spin = gui.doubleSpin(\n            self.optimization_box, self, \"tol\", 1e-4, 1.0, 1e-4,\n            label=\"Numerical tolerance: \",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed)\n        self.max_iter_spin = gui.spin(\n            self.optimization_box, self, \"max_iter\", 5, 1000000, 50,\n            label=\"Iteration limit: \", checked=\"limit_iter\",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed,\n            checkCallback=self.settings_changed)\n\n    def _show_right_kernel(self):\n        enabled = [[False, False, False],  # linear\n                   [True, True, True],  # poly\n                   [True, False, False],  # rbf\n                   [True, True, False]]  # sigmoid\n\n        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init\n        self.kernel_eq = self.kernels[self.kernel_type][1]\n        mask = enabled[self.kernel_type]\n        for spin, enabled in zip(self._kernel_params, mask):\n            [spin.box.hide, spin.box.show][enabled]()\n\n    def update_model(self):\n        super().update_model()\n        sv = None\n        if self.model is not None:\n            sv = self.data[self.model.skl_model.support_]\n        self.Outputs.support_vectors.send(sv)\n\n    def _on_kernel_changed(self):\n        self._show_right_kernel()\n        self.settings_changed()\n\n    @OWBaseLearner.Inputs.data\n    def set_data(self, data):\n        self.Warning.sparse_data.clear()\n        super().set_data(data)\n        if self.data and sp.issparse(self.data.X):\n            self.Warning.sparse_data()\n\n    def create_learner(self):\n        kernel = [\"linear\", \"poly\", \"rbf\", \"sigmoid\"][self.kernel_type]\n        common_args = {\n            'kernel': kernel,\n            'degree': self.degree,\n            'gamma': self.gamma or self._default_gamma,\n            'coef0': self.coef0,\n            'probability': True,\n            'tol': self.tol,\n            'max_iter': self.max_iter if self.limit_iter else -1,\n            'preprocessors': self.preprocessors\n        }\n        if self.svm_type == self.SVM:\n            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)\n        else:\n            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)\n\n    def get_learner_parameters(self):\n        items = OrderedDict()\n        if self.svm_type == self.SVM:\n            items[\"SVM type\"] = \"SVM, C={}, ε={}\".format(self.C, self.epsilon)\n        else:\n            items[\"SVM type\"] = \"ν-SVM, ν={}, C={}\".format(self.nu, self.nu_C)\n        self._report_kernel_parameters(items)\n        items[\"Numerical tolerance\"] = \"{:.6}\".format(self.tol)\n        items[\"Iteration limt\"] = self.max_iter if self.limit_iter else \"unlimited\"\n        return items\n\n    def _report_kernel_parameters(self, items):\n        gamma = self.gamma or self._default_gamma\n        if self.kernel_type == 0:\n            items[\"Kernel\"] = \"Linear\"\n        elif self.kernel_type == 1:\n            items[\"Kernel\"] = \\\n                \"Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>\".format(\n                    g=gamma, c=self.coef0, d=self.degree)\n        elif self.kernel_type == 2:\n            items[\"Kernel\"] = \"RBF, exp(-{:.4}|x-y|²)\".format(gamma)\n        else:\n            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x⋅y + {c:.4})\".format(\n                g=gamma, c=self.coef0)\n\n    @classmethod\n    def migrate_settings(cls, settings, version):\n        if version < 2:\n            if \"degree\" in settings:\n                settings[\"degree\"] = int(settings[\"degree\"])",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 17,
                            "end_lineno": 264,
                            "parent": null
                        }
                    ],
                    "added_entities": [
                        {
                            "file_name": "Orange/widgets/model/owsvm.py",
                            "type": "method",
                            "name": "OWSVM.migrate_settings",
                            "content": "class OWSVM(OWBaseLearner):\n    name = 'SVM'\n    description = \"Support Vector Machines map inputs to higher-dimensional \" \\\n                  \"feature spaces.\"\n    icon = \"icons/SVM.svg\"\n    replaces = [\n        \"Orange.widgets.classify.owsvmclassification.OWSVMClassification\",\n        \"Orange.widgets.regression.owsvmregression.OWSVMRegression\",\n    ]\n    priority = 50\n    keywords = \"svm, support vector machines\"\n\n    LEARNER = SVMLearner\n\n    class Outputs(OWBaseLearner.Outputs):\n        support_vectors = Output(\"Support Vectors\", Table, explicit=True,\n                                 replaces=[\"Support vectors\"])\n\n    class Warning(OWBaseLearner.Warning):\n        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')\n\n    settings_version = 2\n\n    #: Different types of SVMs\n    SVM, Nu_SVM = range(2)\n    #: SVM type\n    svm_type = Setting(SVM)\n\n    C = Setting(1.)  # pylint: disable=invalid-name\n    epsilon = Setting(.1)\n    nu_C = Setting(1.)\n    nu = Setting(.5)  # pylint: disable=invalid-name\n\n    #: Kernel types\n    Linear, Poly, RBF, Sigmoid = range(4)\n    #: Selected kernel type\n    kernel_type = Setting(RBF)\n    #: kernel degree\n    degree = Setting(3)\n    #: gamma\n    gamma = Setting(0.0)\n    #: coef0 (adative constant)\n    coef0 = Setting(1.0)\n\n    #: numerical tolerance\n    tol = Setting(0.001)\n    #: whether or not to limit number of iterations\n    limit_iter = Setting(True)\n    #: maximum number of iterations\n    max_iter = Setting(100)\n\n    _default_gamma = \"auto\"\n    kernels = ((\"Linear\", \"x⋅y\"),\n               (\"Polynomial\", \"(g x⋅y + c)<sup>d</sup>\"),\n               (\"RBF\", \"exp(-g|x-y|²)\"),\n               (\"Sigmoid\", \"tanh(g x⋅y + c)\"))\n\n    def add_main_layout(self):\n        self._add_type_box()\n        self._add_kernel_box()\n        self._add_optimization_box()\n        self._show_right_kernel()\n\n    def _add_type_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        form = QGridLayout()\n        self.type_box = box = gui.radioButtonsInBox(\n            self.controlArea, self, \"svm_type\", [], box=\"SVM Type\",\n            orientation=form, callback=self._update_type)\n\n        self.epsilon_radio = gui.appendRadioButton(\n            box, \"SVM\", addToLayout=False)\n        self.c_spin = gui.doubleSpin(\n            box, self, \"C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.epsilon_spin = gui.doubleSpin(\n            box, self, \"epsilon\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Cost (C):\"), 0, 1, Qt.AlignRight)\n        form.addWidget(self.c_spin, 0, 2)\n        form.addWidget(QLabel(\n            \"Regression loss epsilon (ε):\"), 1, 1, Qt.AlignRight)\n        form.addWidget(self.epsilon_spin, 1, 2)\n\n        self.nu_radio = gui.appendRadioButton(box, \"ν-SVM\", addToLayout=False)\n        self.nu_C_spin = gui.doubleSpin(\n            box, self, \"nu_C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.nu_spin = gui.doubleSpin(\n            box, self, \"nu\", 0.05, 1.0, 0.05, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Regression cost (C):\"), 2, 1, Qt.AlignRight)\n        form.addWidget(self.nu_C_spin, 2, 2)\n        form.addWidget(QLabel(\"Complexity bound (ν):\"), 3, 1, Qt.AlignRight)\n        form.addWidget(self.nu_spin, 3, 2)\n\n        # Correctly enable/disable the appropriate boxes\n        self._update_type()\n\n    def _update_type(self):\n        # Enable/disable SVM type parameters depending on selected SVM type\n        if self.svm_type == self.SVM:\n            self.c_spin.setEnabled(True)\n            self.epsilon_spin.setEnabled(True)\n            self.nu_C_spin.setEnabled(False)\n            self.nu_spin.setEnabled(False)\n        else:\n            self.c_spin.setEnabled(False)\n            self.epsilon_spin.setEnabled(False)\n            self.nu_C_spin.setEnabled(True)\n            self.nu_spin.setEnabled(True)\n        self.settings_changed()\n\n    def _add_kernel_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        # Initialize with the widest label to measure max width\n        self.kernel_eq = self.kernels[-1][1]\n\n        box = gui.hBox(self.controlArea, \"Kernel\")\n\n        self.kernel_box = buttonbox = gui.radioButtonsInBox(\n            box, self, \"kernel_type\", btnLabels=[k[0] for k in self.kernels],\n            callback=self._on_kernel_changed)\n        buttonbox.layout().setSpacing(10)\n        gui.rubber(buttonbox)\n\n        parambox = gui.vBox(box)\n        gui.label(parambox, self, \"Kernel: %(kernel_eq)s\")\n        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,\n                      alignment=Qt.AlignRight, controlWidth=80)\n        spbox = gui.hBox(parambox)\n        gui.rubber(spbox)\n        inbox = gui.vBox(spbox)\n        gamma = gui.doubleSpin(\n            inbox, self, \"gamma\", 0.0, 10.0, 0.01, label=\" g: \", **common)\n        gamma.setSpecialValueText(self._default_gamma)\n        coef0 = gui.doubleSpin(\n            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)\n        degree = gui.spin(\n            inbox, self, \"degree\", 0, 10, 1, label=\" d: \", **common)\n        self._kernel_params = [gamma, coef0, degree]\n        gui.rubber(parambox)\n\n        # This is the maximal height (all double spins are visible)\n        # and the maximal width (the label is initialized to the widest one)\n        box.layout().activate()\n        box.setFixedHeight(box.sizeHint().height())\n        box.setMinimumWidth(box.sizeHint().width())\n\n    def _add_optimization_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        self.optimization_box = gui.vBox(\n            self.controlArea, \"Optimization Parameters\")\n        self.tol_spin = gui.doubleSpin(\n            self.optimization_box, self, \"tol\", 1e-4, 1.0, 1e-4,\n            label=\"Numerical tolerance: \",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed)\n        self.max_iter_spin = gui.spin(\n            self.optimization_box, self, \"max_iter\", 5, 1000000, 50,\n            label=\"Iteration limit: \", checked=\"limit_iter\",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed,\n            checkCallback=self.settings_changed)\n\n    def _show_right_kernel(self):\n        enabled = [[False, False, False],  # linear\n                   [True, True, True],  # poly\n                   [True, False, False],  # rbf\n                   [True, True, False]]  # sigmoid\n\n        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init\n        self.kernel_eq = self.kernels[self.kernel_type][1]\n        mask = enabled[self.kernel_type]\n        for spin, enabled in zip(self._kernel_params, mask):\n            [spin.box.hide, spin.box.show][enabled]()\n\n    def update_model(self):\n        super().update_model()\n        sv = None\n        if self.model is not None:\n            sv = self.data[self.model.skl_model.support_]\n        self.Outputs.support_vectors.send(sv)\n\n    def _on_kernel_changed(self):\n        self._show_right_kernel()\n        self.settings_changed()\n\n    @OWBaseLearner.Inputs.data\n    def set_data(self, data):\n        self.Warning.sparse_data.clear()\n        super().set_data(data)\n        if self.data and sp.issparse(self.data.X):\n            self.Warning.sparse_data()\n\n    def create_learner(self):\n        kernel = [\"linear\", \"poly\", \"rbf\", \"sigmoid\"][self.kernel_type]\n        common_args = {\n            'kernel': kernel,\n            'degree': self.degree,\n            'gamma': self.gamma or self._default_gamma,\n            'coef0': self.coef0,\n            'probability': True,\n            'tol': self.tol,\n            'max_iter': self.max_iter if self.limit_iter else -1,\n            'preprocessors': self.preprocessors\n        }\n        if self.svm_type == self.SVM:\n            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)\n        else:\n            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)\n\n    def get_learner_parameters(self):\n        items = OrderedDict()\n        if self.svm_type == self.SVM:\n            items[\"SVM type\"] = \"SVM, C={}, ε={}\".format(self.C, self.epsilon)\n        else:\n            items[\"SVM type\"] = \"ν-SVM, ν={}, C={}\".format(self.nu, self.nu_C)\n        self._report_kernel_parameters(items)\n        items[\"Numerical tolerance\"] = \"{:.6}\".format(self.tol)\n        items[\"Iteration limt\"] = self.max_iter if self.limit_iter else \"unlimited\"\n        return items\n\n    def _report_kernel_parameters(self, items):\n        gamma = self.gamma or self._default_gamma\n        if self.kernel_type == 0:\n            items[\"Kernel\"] = \"Linear\"\n        elif self.kernel_type == 1:\n            items[\"Kernel\"] = \\\n                \"Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>\".format(\n                    g=gamma, c=self.coef0, d=self.degree)\n        elif self.kernel_type == 2:\n            items[\"Kernel\"] = \"RBF, exp(-{:.4}|x-y|²)\".format(gamma)\n        else:\n            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x⋅y + {c:.4})\".format(\n                g=gamma, c=self.coef0)\n\n    @classmethod\n    def migrate_settings(cls, settings, version):\n        if version < 2:\n            if \"degree\" in settings:\n                settings[\"degree\"] = int(settings[\"degree\"])",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 261,
                            "end_lineno": 264,
                            "parent": {
                                "file_name": "Orange/widgets/model/owsvm.py",
                                "type": "class",
                                "name": "OWSVM",
                                "content": "class OWSVM(OWBaseLearner):\n    name = 'SVM'\n    description = \"Support Vector Machines map inputs to higher-dimensional \" \\\n                  \"feature spaces.\"\n    icon = \"icons/SVM.svg\"\n    replaces = [\n        \"Orange.widgets.classify.owsvmclassification.OWSVMClassification\",\n        \"Orange.widgets.regression.owsvmregression.OWSVMRegression\",\n    ]\n    priority = 50\n    keywords = \"svm, support vector machines\"\n\n    LEARNER = SVMLearner\n\n    class Outputs(OWBaseLearner.Outputs):\n        support_vectors = Output(\"Support Vectors\", Table, explicit=True,\n                                 replaces=[\"Support vectors\"])\n\n    class Warning(OWBaseLearner.Warning):\n        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')\n\n    settings_version = 2\n\n    #: Different types of SVMs\n    SVM, Nu_SVM = range(2)\n    #: SVM type\n    svm_type = Setting(SVM)\n\n    C = Setting(1.)  # pylint: disable=invalid-name\n    epsilon = Setting(.1)\n    nu_C = Setting(1.)\n    nu = Setting(.5)  # pylint: disable=invalid-name\n\n    #: Kernel types\n    Linear, Poly, RBF, Sigmoid = range(4)\n    #: Selected kernel type\n    kernel_type = Setting(RBF)\n    #: kernel degree\n    degree = Setting(3)\n    #: gamma\n    gamma = Setting(0.0)\n    #: coef0 (adative constant)\n    coef0 = Setting(1.0)\n\n    #: numerical tolerance\n    tol = Setting(0.001)\n    #: whether or not to limit number of iterations\n    limit_iter = Setting(True)\n    #: maximum number of iterations\n    max_iter = Setting(100)\n\n    _default_gamma = \"auto\"\n    kernels = ((\"Linear\", \"x⋅y\"),\n               (\"Polynomial\", \"(g x⋅y + c)<sup>d</sup>\"),\n               (\"RBF\", \"exp(-g|x-y|²)\"),\n               (\"Sigmoid\", \"tanh(g x⋅y + c)\"))\n\n    def add_main_layout(self):\n        self._add_type_box()\n        self._add_kernel_box()\n        self._add_optimization_box()\n        self._show_right_kernel()\n\n    def _add_type_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        form = QGridLayout()\n        self.type_box = box = gui.radioButtonsInBox(\n            self.controlArea, self, \"svm_type\", [], box=\"SVM Type\",\n            orientation=form, callback=self._update_type)\n\n        self.epsilon_radio = gui.appendRadioButton(\n            box, \"SVM\", addToLayout=False)\n        self.c_spin = gui.doubleSpin(\n            box, self, \"C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.epsilon_spin = gui.doubleSpin(\n            box, self, \"epsilon\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Cost (C):\"), 0, 1, Qt.AlignRight)\n        form.addWidget(self.c_spin, 0, 2)\n        form.addWidget(QLabel(\n            \"Regression loss epsilon (ε):\"), 1, 1, Qt.AlignRight)\n        form.addWidget(self.epsilon_spin, 1, 2)\n\n        self.nu_radio = gui.appendRadioButton(box, \"ν-SVM\", addToLayout=False)\n        self.nu_C_spin = gui.doubleSpin(\n            box, self, \"nu_C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.nu_spin = gui.doubleSpin(\n            box, self, \"nu\", 0.05, 1.0, 0.05, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Regression cost (C):\"), 2, 1, Qt.AlignRight)\n        form.addWidget(self.nu_C_spin, 2, 2)\n        form.addWidget(QLabel(\"Complexity bound (ν):\"), 3, 1, Qt.AlignRight)\n        form.addWidget(self.nu_spin, 3, 2)\n\n        # Correctly enable/disable the appropriate boxes\n        self._update_type()\n\n    def _update_type(self):\n        # Enable/disable SVM type parameters depending on selected SVM type\n        if self.svm_type == self.SVM:\n            self.c_spin.setEnabled(True)\n            self.epsilon_spin.setEnabled(True)\n            self.nu_C_spin.setEnabled(False)\n            self.nu_spin.setEnabled(False)\n        else:\n            self.c_spin.setEnabled(False)\n            self.epsilon_spin.setEnabled(False)\n            self.nu_C_spin.setEnabled(True)\n            self.nu_spin.setEnabled(True)\n        self.settings_changed()\n\n    def _add_kernel_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        # Initialize with the widest label to measure max width\n        self.kernel_eq = self.kernels[-1][1]\n\n        box = gui.hBox(self.controlArea, \"Kernel\")\n\n        self.kernel_box = buttonbox = gui.radioButtonsInBox(\n            box, self, \"kernel_type\", btnLabels=[k[0] for k in self.kernels],\n            callback=self._on_kernel_changed)\n        buttonbox.layout().setSpacing(10)\n        gui.rubber(buttonbox)\n\n        parambox = gui.vBox(box)\n        gui.label(parambox, self, \"Kernel: %(kernel_eq)s\")\n        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,\n                      alignment=Qt.AlignRight, controlWidth=80)\n        spbox = gui.hBox(parambox)\n        gui.rubber(spbox)\n        inbox = gui.vBox(spbox)\n        gamma = gui.doubleSpin(\n            inbox, self, \"gamma\", 0.0, 10.0, 0.01, label=\" g: \", **common)\n        gamma.setSpecialValueText(self._default_gamma)\n        coef0 = gui.doubleSpin(\n            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)\n        degree = gui.spin(\n            inbox, self, \"degree\", 0, 10, 1, label=\" d: \", **common)\n        self._kernel_params = [gamma, coef0, degree]\n        gui.rubber(parambox)\n\n        # This is the maximal height (all double spins are visible)\n        # and the maximal width (the label is initialized to the widest one)\n        box.layout().activate()\n        box.setFixedHeight(box.sizeHint().height())\n        box.setMinimumWidth(box.sizeHint().width())\n\n    def _add_optimization_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        self.optimization_box = gui.vBox(\n            self.controlArea, \"Optimization Parameters\")\n        self.tol_spin = gui.doubleSpin(\n            self.optimization_box, self, \"tol\", 1e-4, 1.0, 1e-4,\n            label=\"Numerical tolerance: \",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed)\n        self.max_iter_spin = gui.spin(\n            self.optimization_box, self, \"max_iter\", 5, 1000000, 50,\n            label=\"Iteration limit: \", checked=\"limit_iter\",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed,\n            checkCallback=self.settings_changed)\n\n    def _show_right_kernel(self):\n        enabled = [[False, False, False],  # linear\n                   [True, True, True],  # poly\n                   [True, False, False],  # rbf\n                   [True, True, False]]  # sigmoid\n\n        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init\n        self.kernel_eq = self.kernels[self.kernel_type][1]\n        mask = enabled[self.kernel_type]\n        for spin, enabled in zip(self._kernel_params, mask):\n            [spin.box.hide, spin.box.show][enabled]()\n\n    def update_model(self):\n        super().update_model()\n        sv = None\n        if self.model is not None:\n            sv = self.data[self.model.skl_model.support_]\n        self.Outputs.support_vectors.send(sv)\n\n    def _on_kernel_changed(self):\n        self._show_right_kernel()\n        self.settings_changed()\n\n    @OWBaseLearner.Inputs.data\n    def set_data(self, data):\n        self.Warning.sparse_data.clear()\n        super().set_data(data)\n        if self.data and sp.issparse(self.data.X):\n            self.Warning.sparse_data()\n\n    def create_learner(self):\n        kernel = [\"linear\", \"poly\", \"rbf\", \"sigmoid\"][self.kernel_type]\n        common_args = {\n            'kernel': kernel,\n            'degree': self.degree,\n            'gamma': self.gamma or self._default_gamma,\n            'coef0': self.coef0,\n            'probability': True,\n            'tol': self.tol,\n            'max_iter': self.max_iter if self.limit_iter else -1,\n            'preprocessors': self.preprocessors\n        }\n        if self.svm_type == self.SVM:\n            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)\n        else:\n            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)\n\n    def get_learner_parameters(self):\n        items = OrderedDict()\n        if self.svm_type == self.SVM:\n            items[\"SVM type\"] = \"SVM, C={}, ε={}\".format(self.C, self.epsilon)\n        else:\n            items[\"SVM type\"] = \"ν-SVM, ν={}, C={}\".format(self.nu, self.nu_C)\n        self._report_kernel_parameters(items)\n        items[\"Numerical tolerance\"] = \"{:.6}\".format(self.tol)\n        items[\"Iteration limt\"] = self.max_iter if self.limit_iter else \"unlimited\"\n        return items\n\n    def _report_kernel_parameters(self, items):\n        gamma = self.gamma or self._default_gamma\n        if self.kernel_type == 0:\n            items[\"Kernel\"] = \"Linear\"\n        elif self.kernel_type == 1:\n            items[\"Kernel\"] = \\\n                \"Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>\".format(\n                    g=gamma, c=self.coef0, d=self.degree)\n        elif self.kernel_type == 2:\n            items[\"Kernel\"] = \"RBF, exp(-{:.4}|x-y|²)\".format(gamma)\n        else:\n            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x⋅y + {c:.4})\".format(\n                g=gamma, c=self.coef0)\n\n    @classmethod\n    def migrate_settings(cls, settings, version):\n        if version < 2:\n            if \"degree\" in settings:\n                settings[\"degree\"] = int(settings[\"degree\"])",
                                "ast_type_str": "ClassDef",
                                "start_lineno": 17,
                                "end_lineno": 264,
                                "parent": null
                            }
                        }
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                    "deleted_entities": []
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        {
            "old_file_content": "# Test methods with long descriptive names can omit docstrings\n# pylint: disable=missing-docstring\nfrom scipy.sparse import csr_matrix\n\nfrom AnyQt.QtCore import Qt\nfrom Orange.widgets.model.owsvm import OWSVM\nfrom Orange.widgets.tests.base import (\n    WidgetTest,\n    DefaultParameterMapping,\n    ParameterMapping,\n    WidgetLearnerTestMixin\n)\nfrom Orange.data import Table\n\n\nclass TestOWSVMClassification(WidgetTest, WidgetLearnerTestMixin):\n    def setUp(self):\n        self.widget = self.create_widget(\n            OWSVM, stored_settings={\"auto_apply\": False})\n        self.init()\n\n        # All this nonsense is necessary because we add an `auto` option to the\n        # gamma spin box\n        gamma_spin = self.widget._kernel_params[0]\n        values = [self.widget._default_gamma, gamma_spin.maximum()]\n\n        def getter():\n            value = gamma_spin.value()\n            return gamma_spin.specialValueText() \\\n                if value == gamma_spin.minimum() else value\n\n        def setter(value):\n            if value == gamma_spin.specialValueText():\n                gamma_spin.setValue(gamma_spin.minimum())\n            else:\n                gamma_spin.setValue(value)\n\n        self.parameters = [\n            ParameterMapping(\"C\", self.widget.c_spin),\n            ParameterMapping(\"gamma\", self.widget._kernel_params[0],\n                             values=values, setter=setter, getter=getter),\n            ParameterMapping(\"coef0\", self.widget._kernel_params[1]),\n            ParameterMapping(\"degree\", self.widget._kernel_params[2]),\n            ParameterMapping(\"tol\", self.widget.tol_spin),\n            ParameterMapping(\"max_iter\", self.widget.max_iter_spin[1])]\n\n    def test_parameters_unchecked(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when Iteration limit is not checked\n        \"\"\"\n        self.widget.max_iter_spin[0].setCheckState(Qt.Unchecked)\n        self.parameters[-1] = DefaultParameterMapping(\"max_iter\", -1)\n        self.test_parameters()\n\n    def test_parameters_svm_type(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when NuSVM is chosen\n        \"\"\"\n        self.assertEqual(self.widget.svm_type, OWSVM.SVM)\n        # setChecked(True) does not trigger callback event\n        self.widget.nu_radio.click()\n        self.assertEqual(self.widget.svm_type, OWSVM.Nu_SVM)\n        self.parameters[0] = ParameterMapping(\"nu\", self.widget.nu_spin)\n        self.test_parameters()\n\n    def test_kernel_equation(self):\n        \"\"\"Check if the right equation is written according to kernel \"\"\"\n        for i in range(4):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual(self.widget.kernel_eq,\n                                 self.widget.kernels[i][1])\n                break\n        for i in range(4):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual(self.widget.kernel_eq, self.widget.kernels[i][1])\n\n    def test_kernel_spins(self):\n        \"\"\"Check if the right spins are visible according to kernel \"\"\"\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                                  for j in range(3)], hidden)\n                break\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                              for j in range(3)], hidden)\n\n    def test_sparse_warning(self):\n        \"\"\"Check if the user is warned about sparse input\"\"\"\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertFalse(self.widget.Warning.sparse_data.is_shown())\n\n        with data.unlocked():\n            data.X = csr_matrix(data.X)\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertTrue(self.widget.Warning.sparse_data.is_shown())\n",
            "new_file_content": "# Test methods with long descriptive names can omit docstrings\n# pylint: disable=missing-docstring\nfrom scipy.sparse import csr_matrix\n\nfrom AnyQt.QtCore import Qt\nfrom Orange.widgets.model.owsvm import OWSVM\nfrom Orange.widgets.tests.base import (\n    WidgetTest,\n    DefaultParameterMapping,\n    ParameterMapping,\n    WidgetLearnerTestMixin\n)\nfrom Orange.data import Table\n\n\nclass TestOWSVMClassification(WidgetTest, WidgetLearnerTestMixin):\n    def setUp(self):\n        self.widget = self.create_widget(\n            OWSVM, stored_settings={\"auto_apply\": False})\n        self.init()\n\n        # All this nonsense is necessary because we add an `auto` option to the\n        # gamma spin box\n        gamma_spin = self.widget._kernel_params[0]\n        values = [self.widget._default_gamma, gamma_spin.maximum()]\n\n        def getter():\n            value = gamma_spin.value()\n            return gamma_spin.specialValueText() \\\n                if value == gamma_spin.minimum() else value\n\n        def setter(value):\n            if value == gamma_spin.specialValueText():\n                gamma_spin.setValue(gamma_spin.minimum())\n            else:\n                gamma_spin.setValue(value)\n\n        self.parameters = [\n            ParameterMapping(\"C\", self.widget.c_spin),\n            ParameterMapping(\"gamma\", self.widget._kernel_params[0],\n                             values=values, setter=setter, getter=getter),\n            ParameterMapping(\"coef0\", self.widget._kernel_params[1]),\n            ParameterMapping(\"degree\", self.widget._kernel_params[2]),\n            ParameterMapping(\"tol\", self.widget.tol_spin),\n            ParameterMapping(\"max_iter\", self.widget.max_iter_spin[1])]\n\n    def test_parameters_unchecked(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when Iteration limit is not checked\n        \"\"\"\n        self.widget.max_iter_spin[0].setCheckState(Qt.Unchecked)\n        self.parameters[-1] = DefaultParameterMapping(\"max_iter\", -1)\n        self.test_parameters()\n\n    def test_parameters_svm_type(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when NuSVM is chosen\n        \"\"\"\n        self.assertEqual(self.widget.svm_type, OWSVM.SVM)\n        # setChecked(True) does not trigger callback event\n        self.widget.nu_radio.click()\n        self.assertEqual(self.widget.svm_type, OWSVM.Nu_SVM)\n        self.parameters[0] = ParameterMapping(\"nu\", self.widget.nu_spin)\n        self.test_parameters()\n\n    def test_kernel_equation(self):\n        \"\"\"Check if the right equation is written according to kernel \"\"\"\n        for i in range(4):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual(self.widget.kernel_eq,\n                                 self.widget.kernels[i][1])\n                break\n        for i in range(4):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual(self.widget.kernel_eq, self.widget.kernels[i][1])\n\n    def test_kernel_spins(self):\n        \"\"\"Check if the right spins are visible according to kernel \"\"\"\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                                  for j in range(3)], hidden)\n                break\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                              for j in range(3)], hidden)\n\n    def test_sparse_warning(self):\n        \"\"\"Check if the user is warned about sparse input\"\"\"\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertFalse(self.widget.Warning.sparse_data.is_shown())\n\n        with data.unlocked():\n            data.X = csr_matrix(data.X)\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertTrue(self.widget.Warning.sparse_data.is_shown())\n\n    def test_change_degree(self):\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.widget.kernel_box.buttons[1].click()\n        degree_spin = self.widget._kernel_params[2]  # pylint: disable=protected-access\n        degree_spin.stepUp()\n        self.assertEqual(self.widget.degree, 4)\n        self.click_apply()\n        self.wait_until_stop_blocking()\n        self.assertFalse(self.widget.Error.fitting_failed.is_shown())\n\n    def test_migrate_degree(self):\n        settings = {}\n        OWSVM.migrate_settings(settings, 1)\n\n        settings = {\"degree\": 4.0}\n        OWSVM.migrate_settings(settings, 1)\n        self.assertIsInstance(settings[\"degree\"], int)\n",
            "header": {
                "file": {
                    "path": "Orange/widgets/model/tests/test_owsvm.py"
                },
                "misc_line": null
            },
            "index_line": {
                "old_commit_hash": "e6602da30",
                "new_commit_hash": "b165e4751",
                "mode": "100644"
            },
            "is_binary_file": false,
            "binary_line": null,
            "minus_file": {
                "path": "a/Orange/widgets/model/tests/test_owsvm.py"
            },
            "plus_file": {
                "path": "b/Orange/widgets/model/tests/test_owsvm.py"
            },
            "hunks": [
                {
                    "descriptor": {
                        "old_range": {
                            "start": 102,
                            "length": 3
                        },
                        "new_range": {
                            "start": 102,
                            "length": 22
                        },
                        "section": "class TestOWSVMClassification(WidgetTest, WidgetLearnerTestMixin):"
                    },
                    "line_group": {
                        "all_lines": [
                            {
                                "content": "            data.X = csr_matrix(data.X)",
                                "type": "context"
                            },
                            {
                                "content": "        self.send_signal(self.widget.Inputs.data, data)",
                                "type": "context"
                            },
                            {
                                "content": "        self.assertTrue(self.widget.Warning.sparse_data.is_shown())",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "added"
                            },
                            {
                                "content": "    def test_change_degree(self):",
                                "type": "added"
                            },
                            {
                                "content": "        data = Table(\"iris\")",
                                "type": "added"
                            },
                            {
                                "content": "        self.send_signal(self.widget.Inputs.data, data)",
                                "type": "added"
                            },
                            {
                                "content": "        self.widget.kernel_box.buttons[1].click()",
                                "type": "added"
                            },
                            {
                                "content": "        degree_spin = self.widget._kernel_params[2]  # pylint: disable=protected-access",
                                "type": "added"
                            },
                            {
                                "content": "        degree_spin.stepUp()",
                                "type": "added"
                            },
                            {
                                "content": "        self.assertEqual(self.widget.degree, 4)",
                                "type": "added"
                            },
                            {
                                "content": "        self.click_apply()",
                                "type": "added"
                            },
                            {
                                "content": "        self.wait_until_stop_blocking()",
                                "type": "added"
                            },
                            {
                                "content": "        self.assertFalse(self.widget.Error.fitting_failed.is_shown())",
                                "type": "added"
                            },
                            {
                                "content": "",
                                "type": "added"
                            },
                            {
                                "content": "    def test_migrate_degree(self):",
                                "type": "added"
                            },
                            {
                                "content": "        settings = {}",
                                "type": "added"
                            },
                            {
                                "content": "        OWSVM.migrate_settings(settings, 1)",
                                "type": "added"
                            },
                            {
                                "content": "",
                                "type": "added"
                            },
                            {
                                "content": "        settings = {\"degree\": 4.0}",
                                "type": "added"
                            },
                            {
                                "content": "        OWSVM.migrate_settings(settings, 1)",
                                "type": "added"
                            },
                            {
                                "content": "        self.assertIsInstance(settings[\"degree\"], int)",
                                "type": "added"
                            },
                            {
                                "content": "",
                                "type": "context"
                            }
                        ]
                    },
                    "modified_entities": [
                        {
                            "file_name": "Orange/widgets/model/tests/test_owsvm.py",
                            "type": "class",
                            "name": "TestOWSVMClassification",
                            "content": "class TestOWSVMClassification(WidgetTest, WidgetLearnerTestMixin):\n    def setUp(self):\n        self.widget = self.create_widget(\n            OWSVM, stored_settings={\"auto_apply\": False})\n        self.init()\n\n        # All this nonsense is necessary because we add an `auto` option to the\n        # gamma spin box\n        gamma_spin = self.widget._kernel_params[0]\n        values = [self.widget._default_gamma, gamma_spin.maximum()]\n\n        def getter():\n            value = gamma_spin.value()\n            return gamma_spin.specialValueText() \\\n                if value == gamma_spin.minimum() else value\n\n        def setter(value):\n            if value == gamma_spin.specialValueText():\n                gamma_spin.setValue(gamma_spin.minimum())\n            else:\n                gamma_spin.setValue(value)\n\n        self.parameters = [\n            ParameterMapping(\"C\", self.widget.c_spin),\n            ParameterMapping(\"gamma\", self.widget._kernel_params[0],\n                             values=values, setter=setter, getter=getter),\n            ParameterMapping(\"coef0\", self.widget._kernel_params[1]),\n            ParameterMapping(\"degree\", self.widget._kernel_params[2]),\n            ParameterMapping(\"tol\", self.widget.tol_spin),\n            ParameterMapping(\"max_iter\", self.widget.max_iter_spin[1])]\n\n    def test_parameters_unchecked(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when Iteration limit is not checked\n        \"\"\"\n        self.widget.max_iter_spin[0].setCheckState(Qt.Unchecked)\n        self.parameters[-1] = DefaultParameterMapping(\"max_iter\", -1)\n        self.test_parameters()\n\n    def test_parameters_svm_type(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when NuSVM is chosen\n        \"\"\"\n        self.assertEqual(self.widget.svm_type, OWSVM.SVM)\n        # setChecked(True) does not trigger callback event\n        self.widget.nu_radio.click()\n        self.assertEqual(self.widget.svm_type, OWSVM.Nu_SVM)\n        self.parameters[0] = ParameterMapping(\"nu\", self.widget.nu_spin)\n        self.test_parameters()\n\n    def test_kernel_equation(self):\n        \"\"\"Check if the right equation is written according to kernel \"\"\"\n        for i in range(4):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual(self.widget.kernel_eq,\n                                 self.widget.kernels[i][1])\n                break\n        for i in range(4):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual(self.widget.kernel_eq, self.widget.kernels[i][1])\n\n    def test_kernel_spins(self):\n        \"\"\"Check if the right spins are visible according to kernel \"\"\"\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                                  for j in range(3)], hidden)\n                break\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                              for j in range(3)], hidden)\n\n    def test_sparse_warning(self):\n        \"\"\"Check if the user is warned about sparse input\"\"\"\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertFalse(self.widget.Warning.sparse_data.is_shown())\n\n        with data.unlocked():\n            data.X = csr_matrix(data.X)\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertTrue(self.widget.Warning.sparse_data.is_shown())\n\n    def test_change_degree(self):\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.widget.kernel_box.buttons[1].click()\n        degree_spin = self.widget._kernel_params[2]  # pylint: disable=protected-access\n        degree_spin.stepUp()\n        self.assertEqual(self.widget.degree, 4)\n        self.click_apply()\n        self.wait_until_stop_blocking()\n        self.assertFalse(self.widget.Error.fitting_failed.is_shown())\n\n    def test_migrate_degree(self):\n        settings = {}\n        OWSVM.migrate_settings(settings, 1)\n\n        settings = {\"degree\": 4.0}\n        OWSVM.migrate_settings(settings, 1)\n        self.assertIsInstance(settings[\"degree\"], int)",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 16,
                            "end_lineno": 123,
                            "parent": null
                        }
                    ],
                    "added_entities": [
                        {
                            "file_name": "Orange/widgets/model/tests/test_owsvm.py",
                            "type": "method",
                            "name": "TestOWSVMClassification.test_migrate_degree",
                            "content": "class TestOWSVMClassification(WidgetTest, WidgetLearnerTestMixin):\n    def setUp(self):\n        self.widget = self.create_widget(\n            OWSVM, stored_settings={\"auto_apply\": False})\n        self.init()\n\n        # All this nonsense is necessary because we add an `auto` option to the\n        # gamma spin box\n        gamma_spin = self.widget._kernel_params[0]\n        values = [self.widget._default_gamma, gamma_spin.maximum()]\n\n        def getter():\n            value = gamma_spin.value()\n            return gamma_spin.specialValueText() \\\n                if value == gamma_spin.minimum() else value\n\n        def setter(value):\n            if value == gamma_spin.specialValueText():\n                gamma_spin.setValue(gamma_spin.minimum())\n            else:\n                gamma_spin.setValue(value)\n\n        self.parameters = [\n            ParameterMapping(\"C\", self.widget.c_spin),\n            ParameterMapping(\"gamma\", self.widget._kernel_params[0],\n                             values=values, setter=setter, getter=getter),\n            ParameterMapping(\"coef0\", self.widget._kernel_params[1]),\n            ParameterMapping(\"degree\", self.widget._kernel_params[2]),\n            ParameterMapping(\"tol\", self.widget.tol_spin),\n            ParameterMapping(\"max_iter\", self.widget.max_iter_spin[1])]\n\n    def test_parameters_unchecked(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when Iteration limit is not checked\n        \"\"\"\n        self.widget.max_iter_spin[0].setCheckState(Qt.Unchecked)\n        self.parameters[-1] = DefaultParameterMapping(\"max_iter\", -1)\n        self.test_parameters()\n\n    def test_parameters_svm_type(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when NuSVM is chosen\n        \"\"\"\n        self.assertEqual(self.widget.svm_type, OWSVM.SVM)\n        # setChecked(True) does not trigger callback event\n        self.widget.nu_radio.click()\n        self.assertEqual(self.widget.svm_type, OWSVM.Nu_SVM)\n        self.parameters[0] = ParameterMapping(\"nu\", self.widget.nu_spin)\n        self.test_parameters()\n\n    def test_kernel_equation(self):\n        \"\"\"Check if the right equation is written according to kernel \"\"\"\n        for i in range(4):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual(self.widget.kernel_eq,\n                                 self.widget.kernels[i][1])\n                break\n        for i in range(4):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual(self.widget.kernel_eq, self.widget.kernels[i][1])\n\n    def test_kernel_spins(self):\n        \"\"\"Check if the right spins are visible according to kernel \"\"\"\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                                  for j in range(3)], hidden)\n                break\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                              for j in range(3)], hidden)\n\n    def test_sparse_warning(self):\n        \"\"\"Check if the user is warned about sparse input\"\"\"\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertFalse(self.widget.Warning.sparse_data.is_shown())\n\n        with data.unlocked():\n            data.X = csr_matrix(data.X)\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertTrue(self.widget.Warning.sparse_data.is_shown())\n\n    def test_change_degree(self):\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.widget.kernel_box.buttons[1].click()\n        degree_spin = self.widget._kernel_params[2]  # pylint: disable=protected-access\n        degree_spin.stepUp()\n        self.assertEqual(self.widget.degree, 4)\n        self.click_apply()\n        self.wait_until_stop_blocking()\n        self.assertFalse(self.widget.Error.fitting_failed.is_shown())\n\n    def test_migrate_degree(self):\n        settings = {}\n        OWSVM.migrate_settings(settings, 1)\n\n        settings = {\"degree\": 4.0}\n        OWSVM.migrate_settings(settings, 1)\n        self.assertIsInstance(settings[\"degree\"], int)",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 117,
                            "end_lineno": 123,
                            "parent": {
                                "file_name": "Orange/widgets/model/tests/test_owsvm.py",
                                "type": "class",
                                "name": "TestOWSVMClassification",
                                "content": "class TestOWSVMClassification(WidgetTest, WidgetLearnerTestMixin):\n    def setUp(self):\n        self.widget = self.create_widget(\n            OWSVM, stored_settings={\"auto_apply\": False})\n        self.init()\n\n        # All this nonsense is necessary because we add an `auto` option to the\n        # gamma spin box\n        gamma_spin = self.widget._kernel_params[0]\n        values = [self.widget._default_gamma, gamma_spin.maximum()]\n\n        def getter():\n            value = gamma_spin.value()\n            return gamma_spin.specialValueText() \\\n                if value == gamma_spin.minimum() else value\n\n        def setter(value):\n            if value == gamma_spin.specialValueText():\n                gamma_spin.setValue(gamma_spin.minimum())\n            else:\n                gamma_spin.setValue(value)\n\n        self.parameters = [\n            ParameterMapping(\"C\", self.widget.c_spin),\n            ParameterMapping(\"gamma\", self.widget._kernel_params[0],\n                             values=values, setter=setter, getter=getter),\n            ParameterMapping(\"coef0\", self.widget._kernel_params[1]),\n            ParameterMapping(\"degree\", self.widget._kernel_params[2]),\n            ParameterMapping(\"tol\", self.widget.tol_spin),\n            ParameterMapping(\"max_iter\", self.widget.max_iter_spin[1])]\n\n    def test_parameters_unchecked(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when Iteration limit is not checked\n        \"\"\"\n        self.widget.max_iter_spin[0].setCheckState(Qt.Unchecked)\n        self.parameters[-1] = DefaultParameterMapping(\"max_iter\", -1)\n        self.test_parameters()\n\n    def test_parameters_svm_type(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when NuSVM is chosen\n        \"\"\"\n        self.assertEqual(self.widget.svm_type, OWSVM.SVM)\n        # setChecked(True) does not trigger callback event\n        self.widget.nu_radio.click()\n        self.assertEqual(self.widget.svm_type, OWSVM.Nu_SVM)\n        self.parameters[0] = ParameterMapping(\"nu\", self.widget.nu_spin)\n        self.test_parameters()\n\n    def test_kernel_equation(self):\n        \"\"\"Check if the right equation is written according to kernel \"\"\"\n        for i in range(4):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual(self.widget.kernel_eq,\n                                 self.widget.kernels[i][1])\n                break\n        for i in range(4):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual(self.widget.kernel_eq, self.widget.kernels[i][1])\n\n    def test_kernel_spins(self):\n        \"\"\"Check if the right spins are visible according to kernel \"\"\"\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                                  for j in range(3)], hidden)\n                break\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                              for j in range(3)], hidden)\n\n    def test_sparse_warning(self):\n        \"\"\"Check if the user is warned about sparse input\"\"\"\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertFalse(self.widget.Warning.sparse_data.is_shown())\n\n        with data.unlocked():\n            data.X = csr_matrix(data.X)\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertTrue(self.widget.Warning.sparse_data.is_shown())\n\n    def test_change_degree(self):\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.widget.kernel_box.buttons[1].click()\n        degree_spin = self.widget._kernel_params[2]  # pylint: disable=protected-access\n        degree_spin.stepUp()\n        self.assertEqual(self.widget.degree, 4)\n        self.click_apply()\n        self.wait_until_stop_blocking()\n        self.assertFalse(self.widget.Error.fitting_failed.is_shown())\n\n    def test_migrate_degree(self):\n        settings = {}\n        OWSVM.migrate_settings(settings, 1)\n\n        settings = {\"degree\": 4.0}\n        OWSVM.migrate_settings(settings, 1)\n        self.assertIsInstance(settings[\"degree\"], int)",
                                "ast_type_str": "ClassDef",
                                "start_lineno": 16,
                                "end_lineno": 123,
                                "parent": null
                            }
                        },
                        {
                            "file_name": "Orange/widgets/model/tests/test_owsvm.py",
                            "type": "method",
                            "name": "TestOWSVMClassification.test_change_degree",
                            "content": "class TestOWSVMClassification(WidgetTest, WidgetLearnerTestMixin):\n    def setUp(self):\n        self.widget = self.create_widget(\n            OWSVM, stored_settings={\"auto_apply\": False})\n        self.init()\n\n        # All this nonsense is necessary because we add an `auto` option to the\n        # gamma spin box\n        gamma_spin = self.widget._kernel_params[0]\n        values = [self.widget._default_gamma, gamma_spin.maximum()]\n\n        def getter():\n            value = gamma_spin.value()\n            return gamma_spin.specialValueText() \\\n                if value == gamma_spin.minimum() else value\n\n        def setter(value):\n            if value == gamma_spin.specialValueText():\n                gamma_spin.setValue(gamma_spin.minimum())\n            else:\n                gamma_spin.setValue(value)\n\n        self.parameters = [\n            ParameterMapping(\"C\", self.widget.c_spin),\n            ParameterMapping(\"gamma\", self.widget._kernel_params[0],\n                             values=values, setter=setter, getter=getter),\n            ParameterMapping(\"coef0\", self.widget._kernel_params[1]),\n            ParameterMapping(\"degree\", self.widget._kernel_params[2]),\n            ParameterMapping(\"tol\", self.widget.tol_spin),\n            ParameterMapping(\"max_iter\", self.widget.max_iter_spin[1])]\n\n    def test_parameters_unchecked(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when Iteration limit is not checked\n        \"\"\"\n        self.widget.max_iter_spin[0].setCheckState(Qt.Unchecked)\n        self.parameters[-1] = DefaultParameterMapping(\"max_iter\", -1)\n        self.test_parameters()\n\n    def test_parameters_svm_type(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when NuSVM is chosen\n        \"\"\"\n        self.assertEqual(self.widget.svm_type, OWSVM.SVM)\n        # setChecked(True) does not trigger callback event\n        self.widget.nu_radio.click()\n        self.assertEqual(self.widget.svm_type, OWSVM.Nu_SVM)\n        self.parameters[0] = ParameterMapping(\"nu\", self.widget.nu_spin)\n        self.test_parameters()\n\n    def test_kernel_equation(self):\n        \"\"\"Check if the right equation is written according to kernel \"\"\"\n        for i in range(4):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual(self.widget.kernel_eq,\n                                 self.widget.kernels[i][1])\n                break\n        for i in range(4):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual(self.widget.kernel_eq, self.widget.kernels[i][1])\n\n    def test_kernel_spins(self):\n        \"\"\"Check if the right spins are visible according to kernel \"\"\"\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                                  for j in range(3)], hidden)\n                break\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                              for j in range(3)], hidden)\n\n    def test_sparse_warning(self):\n        \"\"\"Check if the user is warned about sparse input\"\"\"\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertFalse(self.widget.Warning.sparse_data.is_shown())\n\n        with data.unlocked():\n            data.X = csr_matrix(data.X)\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertTrue(self.widget.Warning.sparse_data.is_shown())\n\n    def test_change_degree(self):\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.widget.kernel_box.buttons[1].click()\n        degree_spin = self.widget._kernel_params[2]  # pylint: disable=protected-access\n        degree_spin.stepUp()\n        self.assertEqual(self.widget.degree, 4)\n        self.click_apply()\n        self.wait_until_stop_blocking()\n        self.assertFalse(self.widget.Error.fitting_failed.is_shown())\n\n    def test_migrate_degree(self):\n        settings = {}\n        OWSVM.migrate_settings(settings, 1)\n\n        settings = {\"degree\": 4.0}\n        OWSVM.migrate_settings(settings, 1)\n        self.assertIsInstance(settings[\"degree\"], int)",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 106,
                            "end_lineno": 115,
                            "parent": {
                                "file_name": "Orange/widgets/model/tests/test_owsvm.py",
                                "type": "class",
                                "name": "TestOWSVMClassification",
                                "content": "class TestOWSVMClassification(WidgetTest, WidgetLearnerTestMixin):\n    def setUp(self):\n        self.widget = self.create_widget(\n            OWSVM, stored_settings={\"auto_apply\": False})\n        self.init()\n\n        # All this nonsense is necessary because we add an `auto` option to the\n        # gamma spin box\n        gamma_spin = self.widget._kernel_params[0]\n        values = [self.widget._default_gamma, gamma_spin.maximum()]\n\n        def getter():\n            value = gamma_spin.value()\n            return gamma_spin.specialValueText() \\\n                if value == gamma_spin.minimum() else value\n\n        def setter(value):\n            if value == gamma_spin.specialValueText():\n                gamma_spin.setValue(gamma_spin.minimum())\n            else:\n                gamma_spin.setValue(value)\n\n        self.parameters = [\n            ParameterMapping(\"C\", self.widget.c_spin),\n            ParameterMapping(\"gamma\", self.widget._kernel_params[0],\n                             values=values, setter=setter, getter=getter),\n            ParameterMapping(\"coef0\", self.widget._kernel_params[1]),\n            ParameterMapping(\"degree\", self.widget._kernel_params[2]),\n            ParameterMapping(\"tol\", self.widget.tol_spin),\n            ParameterMapping(\"max_iter\", self.widget.max_iter_spin[1])]\n\n    def test_parameters_unchecked(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when Iteration limit is not checked\n        \"\"\"\n        self.widget.max_iter_spin[0].setCheckState(Qt.Unchecked)\n        self.parameters[-1] = DefaultParameterMapping(\"max_iter\", -1)\n        self.test_parameters()\n\n    def test_parameters_svm_type(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when NuSVM is chosen\n        \"\"\"\n        self.assertEqual(self.widget.svm_type, OWSVM.SVM)\n        # setChecked(True) does not trigger callback event\n        self.widget.nu_radio.click()\n        self.assertEqual(self.widget.svm_type, OWSVM.Nu_SVM)\n        self.parameters[0] = ParameterMapping(\"nu\", self.widget.nu_spin)\n        self.test_parameters()\n\n    def test_kernel_equation(self):\n        \"\"\"Check if the right equation is written according to kernel \"\"\"\n        for i in range(4):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual(self.widget.kernel_eq,\n                                 self.widget.kernels[i][1])\n                break\n        for i in range(4):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual(self.widget.kernel_eq, self.widget.kernels[i][1])\n\n    def test_kernel_spins(self):\n        \"\"\"Check if the right spins are visible according to kernel \"\"\"\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                                  for j in range(3)], hidden)\n                break\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                              for j in range(3)], hidden)\n\n    def test_sparse_warning(self):\n        \"\"\"Check if the user is warned about sparse input\"\"\"\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertFalse(self.widget.Warning.sparse_data.is_shown())\n\n        with data.unlocked():\n            data.X = csr_matrix(data.X)\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertTrue(self.widget.Warning.sparse_data.is_shown())\n\n    def test_change_degree(self):\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.widget.kernel_box.buttons[1].click()\n        degree_spin = self.widget._kernel_params[2]  # pylint: disable=protected-access\n        degree_spin.stepUp()\n        self.assertEqual(self.widget.degree, 4)\n        self.click_apply()\n        self.wait_until_stop_blocking()\n        self.assertFalse(self.widget.Error.fitting_failed.is_shown())\n\n    def test_migrate_degree(self):\n        settings = {}\n        OWSVM.migrate_settings(settings, 1)\n\n        settings = {\"degree\": 4.0}\n        OWSVM.migrate_settings(settings, 1)\n        self.assertIsInstance(settings[\"degree\"], int)",
                                "ast_type_str": "ClassDef",
                                "start_lineno": 16,
                                "end_lineno": 123,
                                "parent": null
                            }
                        }
                    ],
                    "deleted_entities": []
                }
            ]
        }
    ],
    "old_commit_hash": "02a06523fe7d4ed74ee4de952591c0765277c63d^",
    "new_commit_hash": "02a06523fe7d4ed74ee4de952591c0765277c63d",
    "commit_message": "Merge pull request #6866 from markotoplak/fix-svm-degree\n\n[FIX] SVM: degree has to be an integer",
    "commit_date": "2024-08-23T09:50:35+02:00",
    "metadata": {}
}
{
    "repo_name": "orange3",
    "new_commit_hash": "02a06523fe7d4ed74ee4de952591c0765277c63d",
    "test_file_codes": [
        "# Test methods with long descriptive names can omit docstrings\n# pylint: disable=missing-docstring\nfrom scipy.sparse import csr_matrix\n\nfrom AnyQt.QtCore import Qt\nfrom Orange.widgets.model.owsvm import OWSVM\nfrom Orange.widgets.tests.base import (\n    WidgetTest,\n    DefaultParameterMapping,\n    ParameterMapping,\n    WidgetLearnerTestMixin\n)\nfrom Orange.data import Table\n\n\nclass TestOWSVMClassification(WidgetTest, WidgetLearnerTestMixin):\n    def setUp(self):\n        self.widget = self.create_widget(\n            OWSVM, stored_settings={\"auto_apply\": False})\n        self.init()\n\n        # All this nonsense is necessary because we add an `auto` option to the\n        # gamma spin box\n        gamma_spin = self.widget._kernel_params[0]\n        values = [self.widget._default_gamma, gamma_spin.maximum()]\n\n        def getter():\n            value = gamma_spin.value()\n            return gamma_spin.specialValueText() \\\n                if value == gamma_spin.minimum() else value\n\n        def setter(value):\n            if value == gamma_spin.specialValueText():\n                gamma_spin.setValue(gamma_spin.minimum())\n            else:\n                gamma_spin.setValue(value)\n\n        self.parameters = [\n            ParameterMapping(\"C\", self.widget.c_spin),\n            ParameterMapping(\"gamma\", self.widget._kernel_params[0],\n                             values=values, setter=setter, getter=getter),\n            ParameterMapping(\"coef0\", self.widget._kernel_params[1]),\n            ParameterMapping(\"degree\", self.widget._kernel_params[2]),\n            ParameterMapping(\"tol\", self.widget.tol_spin),\n            ParameterMapping(\"max_iter\", self.widget.max_iter_spin[1])]\n\n    def test_parameters_unchecked(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when Iteration limit is not checked\n        \"\"\"\n        self.widget.max_iter_spin[0].setCheckState(Qt.Unchecked)\n        self.parameters[-1] = DefaultParameterMapping(\"max_iter\", -1)\n        self.test_parameters()\n\n    def test_parameters_svm_type(self):\n        \"\"\"Check learner and model for various values of all parameters\n        when NuSVM is chosen\n        \"\"\"\n        self.assertEqual(self.widget.svm_type, OWSVM.SVM)\n        # setChecked(True) does not trigger callback event\n        self.widget.nu_radio.click()\n        self.assertEqual(self.widget.svm_type, OWSVM.Nu_SVM)\n        self.parameters[0] = ParameterMapping(\"nu\", self.widget.nu_spin)\n        self.test_parameters()\n\n    def test_kernel_equation(self):\n        \"\"\"Check if the right equation is written according to kernel \"\"\"\n        for i in range(4):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual(self.widget.kernel_eq,\n                                 self.widget.kernels[i][1])\n                break\n        for i in range(4):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual(self.widget.kernel_eq, self.widget.kernels[i][1])\n\n    def test_kernel_spins(self):\n        \"\"\"Check if the right spins are visible according to kernel \"\"\"\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            if self.widget.kernel_box.buttons[i].isChecked():\n                self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                                  for j in range(3)], hidden)\n                break\n        for i, hidden in enumerate([[True, True, True],\n                                    [False, False, False],\n                                    [False, True, True],\n                                    [False, False, True]]):\n            self.widget.kernel_box.buttons[i].click()\n            self.assertEqual([self.widget._kernel_params[j].box.isHidden()\n                              for j in range(3)], hidden)\n\n    def test_sparse_warning(self):\n        \"\"\"Check if the user is warned about sparse input\"\"\"\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertFalse(self.widget.Warning.sparse_data.is_shown())\n\n        with data.unlocked():\n            data.X = csr_matrix(data.X)\n        self.send_signal(self.widget.Inputs.data, data)\n        self.assertTrue(self.widget.Warning.sparse_data.is_shown())\n\n    def test_change_degree(self):\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.widget.kernel_box.buttons[1].click()\n        degree_spin = self.widget._kernel_params[2]  # pylint: disable=protected-access\n        degree_spin.stepUp()\n        self.assertEqual(self.widget.degree, 4)\n        self.click_apply()\n        self.wait_until_stop_blocking()\n        self.assertFalse(self.widget.Error.fitting_failed.is_shown())\n\n    def test_migrate_degree(self):\n        settings = {}\n        OWSVM.migrate_settings(settings, 1)\n\n        settings = {\"degree\": 4.0}\n        OWSVM.migrate_settings(settings, 1)\n        self.assertIsInstance(settings[\"degree\"], int)\n"
    ],
    "test_file_names": [
        "test_1.py"
    ],
    "setup_res_code": 0,
    "setup_res_stdout": "Starting Orange installation attempts...\nAttempting installation with Python 3.7...\nCompiling Orange/classification/_tree_scorers.pyx because it changed.\nCompiling Orange/data/_contingency.pyx because it changed.\nCompiling Orange/data/_io.pyx because it changed.\nCompiling Orange/data/_valuecount.pyx because it changed.\nCompiling Orange/data/_variable.pyx because it changed.\nCompiling Orange/distance/_distance.pyx because it changed.\nCompiling Orange/preprocess/_discretize.pyx because it changed.\nCompiling Orange/preprocess/_relieff.pyx because it changed.\nCompiling Orange/projection/_som.pyx because it changed.\n[1/9] Cythonizing Orange/classification/_tree_scorers.pyx\n[2/9] Cythonizing Orange/data/_contingency.pyx\n[3/9] Cythonizing Orange/data/_io.pyx\n[4/9] Cythonizing Orange/data/_valuecount.pyx\n[5/9] Cythonizing Orange/data/_variable.pyx\n[6/9] Cythonizing Orange/distance/_distance.pyx\n[7/9] Cythonizing Orange/preprocess/_discretize.pyx\n[8/9] Cythonizing Orange/preprocess/_relieff.pyx\n[9/9] Cythonizing Orange/projection/_som.pyx\nrunning build_ext\nbuilding 'Orange.classification._simple_tree' extension\ncreating build\ncreating build/temp.linux-x86_64-3.7\ncreating build/temp.linux-x86_64-3.7/Orange\ncreating build/temp.linux-x86_64-3.7/Orange/classification\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/classification/_simple_tree.c -o build/temp.linux-x86_64-3.7/Orange/classification/_simple_tree.o\ncreating build/lib.linux-x86_64-3.7\ncreating build/lib.linux-x86_64-3.7/Orange\ncreating build/lib.linux-x86_64-3.7/Orange/classification\ncc -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/classification/_simple_tree.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/classification/_simple_tree.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.widgets.utils._grid_density' extension\ncreating build/temp.linux-x86_64-3.7/Orange/widgets\ncreating build/temp.linux-x86_64-3.7/Orange/widgets/utils\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/widgets/utils/_grid_density.cpp -o build/temp.linux-x86_64-3.7/Orange/widgets/utils/_grid_density.o\ncreating build/lib.linux-x86_64-3.7/Orange/widgets\ncreating build/lib.linux-x86_64-3.7/Orange/widgets/utils\nc++ -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/widgets/utils/_grid_density.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/widgets/utils/_grid_density.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.classification._tree_scorers' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/classification/_tree_scorers.c -o build/temp.linux-x86_64-3.7/Orange/classification/_tree_scorers.o\ncc -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/classification/_tree_scorers.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/classification/_tree_scorers.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.data._contingency' extension\ncreating build/temp.linux-x86_64-3.7/Orange/data\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/data/_contingency.c -o build/temp.linux-x86_64-3.7/Orange/data/_contingency.o\ncreating build/lib.linux-x86_64-3.7/Orange/data\ncc -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/data/_contingency.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/data/_contingency.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.data._io' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/data/_io.c -o build/temp.linux-x86_64-3.7/Orange/data/_io.o\ncc -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/data/_io.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/data/_io.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.data._valuecount' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/data/_valuecount.c -o build/temp.linux-x86_64-3.7/Orange/data/_valuecount.o\ncc -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/data/_valuecount.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/data/_valuecount.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.data._variable' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/data/_variable.c -o build/temp.linux-x86_64-3.7/Orange/data/_variable.o\ncc -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/data/_variable.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/data/_variable.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.distance._distance' extension\ncreating build/temp.linux-x86_64-3.7/Orange/distance\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/distance/_distance.c -o build/temp.linux-x86_64-3.7/Orange/distance/_distance.o\ncreating build/lib.linux-x86_64-3.7/Orange/distance\ncc -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/distance/_distance.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/distance/_distance.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.preprocess._discretize' extension\ncreating build/temp.linux-x86_64-3.7/Orange/preprocess\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/preprocess/_discretize.c -o build/temp.linux-x86_64-3.7/Orange/preprocess/_discretize.o\ncreating build/lib.linux-x86_64-3.7/Orange/preprocess\ncc -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/preprocess/_discretize.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/preprocess/_discretize.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.preprocess._relieff' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/preprocess/_relieff.cpp -o build/temp.linux-x86_64-3.7/Orange/preprocess/_relieff.o\nc++ -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/preprocess/_relieff.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/preprocess/_relieff.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.projection._som' extension\ncreating build/temp.linux-x86_64-3.7/Orange/projection\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c Orange/projection/_som.c -o build/temp.linux-x86_64-3.7/Orange/projection/_som.o\ncreating build/lib.linux-x86_64-3.7/Orange/projection\ncc -pthread -shared -L/tools/deps/lib build/temp.linux-x86_64-3.7/Orange/projection/_som.o -L/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib -lm -lpython3.7m -o build/lib.linux-x86_64-3.7/Orange/projection/_som.cpython-37m-x86_64-linux-gnu.so\ncopying build/lib.linux-x86_64-3.7/Orange/classification/_simple_tree.cpython-37m-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-3.7/Orange/widgets/utils/_grid_density.cpython-37m-x86_64-linux-gnu.so -> Orange/widgets/utils\ncopying build/lib.linux-x86_64-3.7/Orange/classification/_tree_scorers.cpython-37m-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-3.7/Orange/data/_contingency.cpython-37m-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-3.7/Orange/data/_io.cpython-37m-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-3.7/Orange/data/_valuecount.cpython-37m-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-3.7/Orange/data/_variable.cpython-37m-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-3.7/Orange/distance/_distance.cpython-37m-x86_64-linux-gnu.so -> Orange/distance\ncopying build/lib.linux-x86_64-3.7/Orange/preprocess/_discretize.cpython-37m-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-3.7/Orange/preprocess/_relieff.cpython-37m-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-3.7/Orange/projection/_som.cpython-37m-x86_64-linux-gnu.so -> Orange/projection\nrunning develop\nrunning egg_info\ncreating Orange3.egg-info\nwriting Orange3.egg-info/PKG-INFO\nwriting dependency_links to Orange3.egg-info/dependency_links.txt\nwriting entry points to Orange3.egg-info/entry_points.txt\nwriting requirements to Orange3.egg-info/requires.txt\nwriting top-level names to Orange3.egg-info/top_level.txt\nwriting manifest file 'Orange3.egg-info/SOURCES.txt'\nreading manifest file 'Orange3.egg-info/SOURCES.txt'\nreading manifest template 'MANIFEST.in'\nadding license file 'LICENSE'\nwriting manifest file 'Orange3.egg-info/SOURCES.txt'\nrunning build_ext\ncopying build/lib.linux-x86_64-3.7/Orange/classification/_simple_tree.cpython-37m-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-3.7/Orange/widgets/utils/_grid_density.cpython-37m-x86_64-linux-gnu.so -> Orange/widgets/utils\ncopying build/lib.linux-x86_64-3.7/Orange/classification/_tree_scorers.cpython-37m-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-3.7/Orange/data/_contingency.cpython-37m-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-3.7/Orange/data/_io.cpython-37m-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-3.7/Orange/data/_valuecount.cpython-37m-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-3.7/Orange/data/_variable.cpython-37m-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-3.7/Orange/distance/_distance.cpython-37m-x86_64-linux-gnu.so -> Orange/distance\ncopying build/lib.linux-x86_64-3.7/Orange/preprocess/_discretize.cpython-37m-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-3.7/Orange/preprocess/_relieff.cpython-37m-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-3.7/Orange/projection/_som.cpython-37m-x86_64-linux-gnu.so -> Orange/projection\nCreating /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/Orange3.egg-link (link to .)\nAdding Orange3 3.38.0.dev0+02a0652 to easy-install.pth file\nInstalling orange-canvas script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d\nProcessing dependencies for Orange3==3.38.0.dev0+02a0652\nSearching for xlsxwriter\nReading https://pypi.org/simple/xlsxwriter/\nDownloading https://files.pythonhosted.org/packages/a7/ea/53d1fe468e63e092cf16e2c18d16f50c29851242f9dd12d6a66e0d7f0d02/XlsxWriter-3.2.0-py3-none-any.whl#sha256=ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e\nBest match: XlsxWriter 3.2.0\nProcessing XlsxWriter-3.2.0-py3-none-any.whl\nInstalling XlsxWriter-3.2.0-py3-none-any.whl to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages\nAdding XlsxWriter 3.2.0 to easy-install.pth file\nInstalling vba_extract.py script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/XlsxWriter-3.2.0-py3.7.egg\nSearching for xlrd>=1.2.0\nReading https://pypi.org/simple/xlrd/\nDownloading https://files.pythonhosted.org/packages/a6/0c/c2a72d51fe56e08a08acc85d13013558a2d793028ae7385448a6ccdfae64/xlrd-2.0.1-py2.py3-none-any.whl#sha256=6a33ee89877bd9abc1158129f6e94be74e2679636b8a205b43b85206c3f0bbdd\nBest match: xlrd 2.0.1\nProcessing xlrd-2.0.1-py2.py3-none-any.whl\nInstalling xlrd-2.0.1-py2.py3-none-any.whl to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages\nAdding xlrd 2.0.1 to easy-install.pth file\nInstalling runxlrd.py script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/xlrd-2.0.1-py3.7.egg\nSearching for xgboost<2.1,>=1.7.4\nReading https://pypi.org/simple/xgboost/\nDownloading https://files.pythonhosted.org/packages/c3/eb/496aa2f5d356af4185f770bc76055307f8d1870e11016b10fd779b21769c/xgboost-2.0.3-py3-none-manylinux2014_x86_64.whl#sha256=30bd5f789fad467fd49e04e5d19e04238b931682c3951a514da5c2410b3bf59c\nBest match: xgboost 2.0.3\nProcessing xgboost-2.0.3-py3-none-manylinux2014_x86_64.whl\nInstalling xgboost-2.0.3-py3-none-manylinux2014_x86_64.whl to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages\nAdding xgboost 2.0.3 to easy-install.pth file\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/xgboost-2.0.3-py3.7-linux-x86_64.egg\nSearching for serverfiles\nReading https://pypi.org/simple/serverfiles/\nDownloading https://files.pythonhosted.org/packages/33/36/794fe1c4ed29b0f56a26d72e956baf0285d8fe9e29faf36797a28a8ad45b/serverfiles-0.3.1.tar.gz#sha256=5e10fc32e758791e3735bc08bce2ed4702a83b1e45ab96c5d59cc8aeecfbebe1\nBest match: serverfiles 0.3.1\nProcessing serverfiles-0.3.1.tar.gz\nWriting /tmp/easy_install-dkhol3lz/serverfiles-0.3.1/setup.cfg\nRunning serverfiles-0.3.1/setup.py -q bdist_egg --dist-dir /tmp/easy_install-dkhol3lz/serverfiles-0.3.1/egg-dist-tmp-utxm4yk_\ncreating /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/serverfiles-0.3.1-py3.7.egg\nExtracting serverfiles-0.3.1-py3.7.egg to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages\nAdding serverfiles 0.3.1 to easy-install.pth file\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/serverfiles-0.3.1-py3.7.egg\nSearching for scipy>=1.9\nReading https://pypi.org/simple/scipy/\nDownloading https://files.pythonhosted.org/packages/d9/7b/2b8ac283cf32465ed08bc20a83d559fe7b174a484781702ba8accea001d6/scipy-1.15.0.tar.gz#sha256=300742e2cc94e36a2880ebe464a1c8b4352a7b0f3e36ec3d2ac006cdbe0219ac\nBest match: scipy 1.15.0\nProcessing scipy-1.15.0.tar.gz\nVerifying Orange installation...\n❌ Orange verification failed\nPython 3.7 installation failed, trying Python 3.8...\nAttempting installation with Python 3.8...\nrunning build_ext\nbuilding 'Orange.classification._simple_tree' extension\ncreating build/temp.linux-x86_64-cpython-38/Orange/classification\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/classification/_simple_tree.c -o build/temp.linux-x86_64-cpython-38/Orange/classification/_simple_tree.o\ncreating build/lib.linux-x86_64-cpython-38/Orange/classification\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-38/Orange/classification/_simple_tree.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/classification/_simple_tree.cpython-38-x86_64-linux-gnu.so\nbuilding 'Orange.widgets.utils._grid_density' extension\ncreating build/temp.linux-x86_64-cpython-38/Orange/widgets/utils\nc++ -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/widgets/utils/_grid_density.cpp -o build/temp.linux-x86_64-cpython-38/Orange/widgets/utils/_grid_density.o\ncreating build/lib.linux-x86_64-cpython-38/Orange/widgets/utils\nc++ -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -pthread -shared build/temp.linux-x86_64-cpython-38/Orange/widgets/utils/_grid_density.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/widgets/utils/_grid_density.cpython-38-x86_64-linux-gnu.so\nbuilding 'Orange.classification._tree_scorers' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/classification/_tree_scorers.c -o build/temp.linux-x86_64-cpython-38/Orange/classification/_tree_scorers.o\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-38/Orange/classification/_tree_scorers.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/classification/_tree_scorers.cpython-38-x86_64-linux-gnu.so\nbuilding 'Orange.data._contingency' extension\ncreating build/temp.linux-x86_64-cpython-38/Orange/data\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/data/_contingency.c -o build/temp.linux-x86_64-cpython-38/Orange/data/_contingency.o\ncreating build/lib.linux-x86_64-cpython-38/Orange/data\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-38/Orange/data/_contingency.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/data/_contingency.cpython-38-x86_64-linux-gnu.so\nbuilding 'Orange.data._io' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/data/_io.c -o build/temp.linux-x86_64-cpython-38/Orange/data/_io.o\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-38/Orange/data/_io.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/data/_io.cpython-38-x86_64-linux-gnu.so\nbuilding 'Orange.data._valuecount' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/data/_valuecount.c -o build/temp.linux-x86_64-cpython-38/Orange/data/_valuecount.o\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-38/Orange/data/_valuecount.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/data/_valuecount.cpython-38-x86_64-linux-gnu.so\nbuilding 'Orange.data._variable' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/data/_variable.c -o build/temp.linux-x86_64-cpython-38/Orange/data/_variable.o\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-38/Orange/data/_variable.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/data/_variable.cpython-38-x86_64-linux-gnu.so\nbuilding 'Orange.distance._distance' extension\ncreating build/temp.linux-x86_64-cpython-38/Orange/distance\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/distance/_distance.c -o build/temp.linux-x86_64-cpython-38/Orange/distance/_distance.o\ncreating build/lib.linux-x86_64-cpython-38/Orange/distance\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-38/Orange/distance/_distance.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/distance/_distance.cpython-38-x86_64-linux-gnu.so\nbuilding 'Orange.preprocess._discretize' extension\ncreating build/temp.linux-x86_64-cpython-38/Orange/preprocess\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/preprocess/_discretize.c -o build/temp.linux-x86_64-cpython-38/Orange/preprocess/_discretize.o\ncreating build/lib.linux-x86_64-cpython-38/Orange/preprocess\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-38/Orange/preprocess/_discretize.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/preprocess/_discretize.cpython-38-x86_64-linux-gnu.so\nbuilding 'Orange.preprocess._relieff' extension\nc++ -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/preprocess/_relieff.cpp -o build/temp.linux-x86_64-cpython-38/Orange/preprocess/_relieff.o\nc++ -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -pthread -shared build/temp.linux-x86_64-cpython-38/Orange/preprocess/_relieff.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/preprocess/_relieff.cpython-38-x86_64-linux-gnu.so\nbuilding 'Orange.projection._som' extension\ncreating build/temp.linux-x86_64-cpython-38/Orange/projection\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8 -c Orange/projection/_som.c -o build/temp.linux-x86_64-cpython-38/Orange/projection/_som.o\ncreating build/lib.linux-x86_64-cpython-38/Orange/projection\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-38/Orange/projection/_som.o -L/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-38/Orange/projection/_som.cpython-38-x86_64-linux-gnu.so\ncopying build/lib.linux-x86_64-cpython-38/Orange/classification/_simple_tree.cpython-38-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-cpython-38/Orange/widgets/utils/_grid_density.cpython-38-x86_64-linux-gnu.so -> Orange/widgets/utils\ncopying build/lib.linux-x86_64-cpython-38/Orange/classification/_tree_scorers.cpython-38-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-cpython-38/Orange/data/_contingency.cpython-38-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-38/Orange/data/_io.cpython-38-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-38/Orange/data/_valuecount.cpython-38-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-38/Orange/data/_variable.cpython-38-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-38/Orange/distance/_distance.cpython-38-x86_64-linux-gnu.so -> Orange/distance\ncopying build/lib.linux-x86_64-cpython-38/Orange/preprocess/_discretize.cpython-38-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-cpython-38/Orange/preprocess/_relieff.cpython-38-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-cpython-38/Orange/projection/_som.cpython-38-x86_64-linux-gnu.so -> Orange/projection\nrunning develop\nrunning egg_info\nwriting Orange3.egg-info/PKG-INFO\nwriting dependency_links to Orange3.egg-info/dependency_links.txt\nwriting entry points to Orange3.egg-info/entry_points.txt\nwriting requirements to Orange3.egg-info/requires.txt\nwriting top-level names to Orange3.egg-info/top_level.txt\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\nreading manifest file 'Orange3.egg-info/SOURCES.txt'\nreading manifest template 'MANIFEST.in'\nadding license file 'LICENSE'\nwriting manifest file 'Orange3.egg-info/SOURCES.txt'\nrunning build_ext\ncopying build/lib.linux-x86_64-cpython-38/Orange/classification/_simple_tree.cpython-38-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-cpython-38/Orange/widgets/utils/_grid_density.cpython-38-x86_64-linux-gnu.so -> Orange/widgets/utils\ncopying build/lib.linux-x86_64-cpython-38/Orange/classification/_tree_scorers.cpython-38-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-cpython-38/Orange/data/_contingency.cpython-38-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-38/Orange/data/_io.cpython-38-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-38/Orange/data/_valuecount.cpython-38-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-38/Orange/data/_variable.cpython-38-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-38/Orange/distance/_distance.cpython-38-x86_64-linux-gnu.so -> Orange/distance\ncopying build/lib.linux-x86_64-cpython-38/Orange/preprocess/_discretize.cpython-38-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-cpython-38/Orange/preprocess/_relieff.cpython-38-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-cpython-38/Orange/projection/_som.cpython-38-x86_64-linux-gnu.so -> Orange/projection\nCreating /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/Orange3.egg-link (link to .)\nAdding Orange3 3.38.0.dev0+02a0652 to easy-install.pth file\nInstalling orange-canvas script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d\nProcessing dependencies for Orange3==3.38.0.dev0+02a0652\nSearching for xlsxwriter\nReading https://pypi.org/simple/xlsxwriter/\nDownloading https://files.pythonhosted.org/packages/a7/ea/53d1fe468e63e092cf16e2c18d16f50c29851242f9dd12d6a66e0d7f0d02/XlsxWriter-3.2.0-py3-none-any.whl#sha256=ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e\nBest match: XlsxWriter 3.2.0\nProcessing XlsxWriter-3.2.0-py3-none-any.whl\nInstalling XlsxWriter-3.2.0-py3-none-any.whl to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages\nAdding XlsxWriter 3.2.0 to easy-install.pth file\nInstalling vba_extract.py script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/XlsxWriter-3.2.0-py3.8.egg\nSearching for xlrd>=1.2.0\nReading https://pypi.org/simple/xlrd/\nDownloading https://files.pythonhosted.org/packages/a6/0c/c2a72d51fe56e08a08acc85d13013558a2d793028ae7385448a6ccdfae64/xlrd-2.0.1-py2.py3-none-any.whl#sha256=6a33ee89877bd9abc1158129f6e94be74e2679636b8a205b43b85206c3f0bbdd\nBest match: xlrd 2.0.1\nProcessing xlrd-2.0.1-py2.py3-none-any.whl\nInstalling xlrd-2.0.1-py2.py3-none-any.whl to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages\nAdding xlrd 2.0.1 to easy-install.pth file\ndetected new path './XlsxWriter-3.2.0-py3.8.egg'\nInstalling runxlrd.py script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/xlrd-2.0.1-py3.8.egg\nSearching for xgboost<2.1,>=1.7.4\nReading https://pypi.org/simple/xgboost/\nDownloading https://files.pythonhosted.org/packages/c3/eb/496aa2f5d356af4185f770bc76055307f8d1870e11016b10fd779b21769c/xgboost-2.0.3-py3-none-manylinux2014_x86_64.whl#sha256=30bd5f789fad467fd49e04e5d19e04238b931682c3951a514da5c2410b3bf59c\nBest match: xgboost 2.0.3\nProcessing xgboost-2.0.3-py3-none-manylinux2014_x86_64.whl\nInstalling xgboost-2.0.3-py3-none-manylinux2014_x86_64.whl to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages\nAdding xgboost 2.0.3 to easy-install.pth file\ndetected new path './xlrd-2.0.1-py3.8.egg'\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/xgboost-2.0.3-py3.8-linux-x86_64.egg\nSearching for serverfiles\nReading https://pypi.org/simple/serverfiles/\nDownloading https://files.pythonhosted.org/packages/33/36/794fe1c4ed29b0f56a26d72e956baf0285d8fe9e29faf36797a28a8ad45b/serverfiles-0.3.1.tar.gz#sha256=5e10fc32e758791e3735bc08bce2ed4702a83b1e45ab96c5d59cc8aeecfbebe1\nBest match: serverfiles 0.3.1\nProcessing serverfiles-0.3.1.tar.gz\nWriting /tmp/easy_install-ev1yznmx/serverfiles-0.3.1/setup.cfg\nRunning serverfiles-0.3.1/setup.py -q bdist_egg --dist-dir /tmp/easy_install-ev1yznmx/serverfiles-0.3.1/egg-dist-tmp-99t1b1ev\nAdding serverfiles 0.3.1 to easy-install.pth file\ndetected new path './xgboost-2.0.3-py3.8-linux-x86_64.egg'\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/serverfiles-0.3.1-py3.8.egg\nSearching for scipy>=1.9\nReading https://pypi.org/simple/scipy/\nDownloading https://files.pythonhosted.org/packages/d9/7b/2b8ac283cf32465ed08bc20a83d559fe7b174a484781702ba8accea001d6/scipy-1.15.0.tar.gz#sha256=300742e2cc94e36a2880ebe464a1c8b4352a7b0f3e36ec3d2ac006cdbe0219ac\nBest match: scipy 1.15.0\nProcessing scipy-1.15.0.tar.gz\nVerifying Orange installation...\n❌ Orange verification failed\nPython 3.7,3.8 installation failed, trying Python 3.8...\nAttempting installation with Python 3.10...\nCompiling Orange/classification/_tree_scorers.pyx because it changed.\nCompiling Orange/data/_contingency.pyx because it changed.\nCompiling Orange/data/_io.pyx because it changed.\nCompiling Orange/data/_valuecount.pyx because it changed.\nCompiling Orange/data/_variable.pyx because it changed.\nCompiling Orange/distance/_distance.pyx because it changed.\nCompiling Orange/preprocess/_discretize.pyx because it changed.\nCompiling Orange/preprocess/_relieff.pyx because it changed.\nCompiling Orange/projection/_som.pyx because it changed.\n[1/9] Cythonizing Orange/classification/_tree_scorers.pyx\n[2/9] Cythonizing Orange/data/_contingency.pyx\n[3/9] Cythonizing Orange/data/_io.pyx\n[4/9] Cythonizing Orange/data/_valuecount.pyx\n[5/9] Cythonizing Orange/data/_variable.pyx\n[6/9] Cythonizing Orange/distance/_distance.pyx\n[7/9] Cythonizing Orange/preprocess/_discretize.pyx\n[8/9] Cythonizing Orange/preprocess/_relieff.pyx\n[9/9] Cythonizing Orange/projection/_som.pyx\nrunning build_ext\nbuilding 'Orange.classification._simple_tree' extension\ncreating build/temp.linux-x86_64-cpython-310/Orange/classification\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/classification/_simple_tree.c -o build/temp.linux-x86_64-cpython-310/Orange/classification/_simple_tree.o\ncreating build/lib.linux-x86_64-cpython-310/Orange/classification\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-310/Orange/classification/_simple_tree.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/classification/_simple_tree.cpython-310-x86_64-linux-gnu.so\nbuilding 'Orange.widgets.utils._grid_density' extension\ncreating build/temp.linux-x86_64-cpython-310/Orange/widgets/utils\nc++ -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/widgets/utils/_grid_density.cpp -o build/temp.linux-x86_64-cpython-310/Orange/widgets/utils/_grid_density.o\ncreating build/lib.linux-x86_64-cpython-310/Orange/widgets/utils\nc++ -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -pthread -shared build/temp.linux-x86_64-cpython-310/Orange/widgets/utils/_grid_density.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/widgets/utils/_grid_density.cpython-310-x86_64-linux-gnu.so\nbuilding 'Orange.classification._tree_scorers' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/classification/_tree_scorers.c -o build/temp.linux-x86_64-cpython-310/Orange/classification/_tree_scorers.o\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-310/Orange/classification/_tree_scorers.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/classification/_tree_scorers.cpython-310-x86_64-linux-gnu.so\nbuilding 'Orange.data._contingency' extension\ncreating build/temp.linux-x86_64-cpython-310/Orange/data\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/data/_contingency.c -o build/temp.linux-x86_64-cpython-310/Orange/data/_contingency.o\ncreating build/lib.linux-x86_64-cpython-310/Orange/data\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-310/Orange/data/_contingency.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/data/_contingency.cpython-310-x86_64-linux-gnu.so\nbuilding 'Orange.data._io' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/data/_io.c -o build/temp.linux-x86_64-cpython-310/Orange/data/_io.o\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-310/Orange/data/_io.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/data/_io.cpython-310-x86_64-linux-gnu.so\nbuilding 'Orange.data._valuecount' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/data/_valuecount.c -o build/temp.linux-x86_64-cpython-310/Orange/data/_valuecount.o\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-310/Orange/data/_valuecount.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/data/_valuecount.cpython-310-x86_64-linux-gnu.so\nbuilding 'Orange.data._variable' extension\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/data/_variable.c -o build/temp.linux-x86_64-cpython-310/Orange/data/_variable.o\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-310/Orange/data/_variable.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/data/_variable.cpython-310-x86_64-linux-gnu.so\nbuilding 'Orange.distance._distance' extension\ncreating build/temp.linux-x86_64-cpython-310/Orange/distance\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/distance/_distance.c -o build/temp.linux-x86_64-cpython-310/Orange/distance/_distance.o\ncreating build/lib.linux-x86_64-cpython-310/Orange/distance\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-310/Orange/distance/_distance.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/distance/_distance.cpython-310-x86_64-linux-gnu.so\nbuilding 'Orange.preprocess._discretize' extension\ncreating build/temp.linux-x86_64-cpython-310/Orange/preprocess\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/preprocess/_discretize.c -o build/temp.linux-x86_64-cpython-310/Orange/preprocess/_discretize.o\ncreating build/lib.linux-x86_64-cpython-310/Orange/preprocess\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-310/Orange/preprocess/_discretize.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/preprocess/_discretize.cpython-310-x86_64-linux-gnu.so\nbuilding 'Orange.preprocess._relieff' extension\nc++ -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/preprocess/_relieff.cpp -o build/temp.linux-x86_64-cpython-310/Orange/preprocess/_relieff.o\nc++ -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -pthread -shared build/temp.linux-x86_64-cpython-310/Orange/preprocess/_relieff.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/preprocess/_relieff.cpython-310-x86_64-linux-gnu.so\nbuilding 'Orange.projection._som' extension\ncreating build/temp.linux-x86_64-cpython-310/Orange/projection\ncc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -fPIC -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10 -c Orange/projection/_som.c -o build/temp.linux-x86_64-cpython-310/Orange/projection/_som.o\ncreating build/lib.linux-x86_64-cpython-310/Orange/projection\ncc -pthread -shared -Wl,--exclude-libs,ALL build/temp.linux-x86_64-cpython-310/Orange/projection/_som.o -L/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/lib -lm -o build/lib.linux-x86_64-cpython-310/Orange/projection/_som.cpython-310-x86_64-linux-gnu.so\ncopying build/lib.linux-x86_64-cpython-310/Orange/classification/_simple_tree.cpython-310-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-cpython-310/Orange/widgets/utils/_grid_density.cpython-310-x86_64-linux-gnu.so -> Orange/widgets/utils\ncopying build/lib.linux-x86_64-cpython-310/Orange/classification/_tree_scorers.cpython-310-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-cpython-310/Orange/data/_contingency.cpython-310-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-310/Orange/data/_io.cpython-310-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-310/Orange/data/_valuecount.cpython-310-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-310/Orange/data/_variable.cpython-310-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-310/Orange/distance/_distance.cpython-310-x86_64-linux-gnu.so -> Orange/distance\ncopying build/lib.linux-x86_64-cpython-310/Orange/preprocess/_discretize.cpython-310-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-cpython-310/Orange/preprocess/_relieff.cpython-310-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-cpython-310/Orange/projection/_som.cpython-310-x86_64-linux-gnu.so -> Orange/projection\nrunning develop\nrunning egg_info\nwriting Orange3.egg-info/PKG-INFO\nwriting dependency_links to Orange3.egg-info/dependency_links.txt\nwriting entry points to Orange3.egg-info/entry_points.txt\nwriting requirements to Orange3.egg-info/requires.txt\nwriting top-level names to Orange3.egg-info/top_level.txt\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency 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the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative\ndependency /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative\nreading manifest file 'Orange3.egg-info/SOURCES.txt'\nreading manifest template 'MANIFEST.in'\nadding license file 'LICENSE'\nwriting manifest file 'Orange3.egg-info/SOURCES.txt'\nrunning build_ext\ncopying build/lib.linux-x86_64-cpython-310/Orange/classification/_simple_tree.cpython-310-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-cpython-310/Orange/widgets/utils/_grid_density.cpython-310-x86_64-linux-gnu.so -> Orange/widgets/utils\ncopying build/lib.linux-x86_64-cpython-310/Orange/classification/_tree_scorers.cpython-310-x86_64-linux-gnu.so -> Orange/classification\ncopying build/lib.linux-x86_64-cpython-310/Orange/data/_contingency.cpython-310-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-310/Orange/data/_io.cpython-310-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-310/Orange/data/_valuecount.cpython-310-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-310/Orange/data/_variable.cpython-310-x86_64-linux-gnu.so -> Orange/data\ncopying build/lib.linux-x86_64-cpython-310/Orange/distance/_distance.cpython-310-x86_64-linux-gnu.so -> Orange/distance\ncopying build/lib.linux-x86_64-cpython-310/Orange/preprocess/_discretize.cpython-310-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-cpython-310/Orange/preprocess/_relieff.cpython-310-x86_64-linux-gnu.so -> Orange/preprocess\ncopying build/lib.linux-x86_64-cpython-310/Orange/projection/_som.cpython-310-x86_64-linux-gnu.so -> Orange/projection\nCreating /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/Orange3.egg-link (link to .)\nAdding Orange3 3.38.0.dev0+02a0652 to easy-install.pth file\nInstalling orange-canvas script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d\nProcessing dependencies for Orange3==3.38.0.dev0+02a0652\nSearching for XlsxWriter==3.2.0\nBest match: XlsxWriter 3.2.0\nAdding XlsxWriter 3.2.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for xlrd==2.0.1\nBest match: xlrd 2.0.1\nAdding xlrd 2.0.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for xgboost==2.0.3\nBest match: xgboost 2.0.3\nAdding xgboost 2.0.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for serverfiles==0.3.1\nBest match: serverfiles 0.3.1\nAdding serverfiles 0.3.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for scipy==1.15.0\nBest match: scipy 1.15.0\nAdding scipy 1.15.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for scikit-learn==1.6.0\nBest match: scikit-learn 1.6.0\nAdding scikit-learn 1.6.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for requests==2.32.3\nBest match: requests 2.32.3\nAdding requests 2.32.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for qtconsole==5.6.1\nBest match: qtconsole 5.6.1\nAdding qtconsole 5.6.1 to easy-install.pth file\nInstalling jupyter-qtconsole script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for PyYAML==6.0.2\nBest match: PyYAML 6.0.2\nAdding PyYAML 6.0.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for python-louvain==0.16\nBest match: python-louvain 0.16\nAdding python-louvain 0.16 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pyqtgraph==0.13.7\nBest match: pyqtgraph 0.13.7\nAdding pyqtgraph 0.13.7 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pygments==2.19.1\nBest match: pygments 2.19.1\nAdding pygments 2.19.1 to easy-install.pth file\nInstalling pygmentize script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pip==24.3.1\nBest match: pip 24.3.1\nAdding pip 24.3.1 to easy-install.pth file\nInstalling pip script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling pip3 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pandas==2.2.3\nBest match: pandas 2.2.3\nAdding pandas 2.2.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for packaging==24.2\nBest match: packaging 24.2\nAdding packaging 24.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/setuptools/_vendor\nSearching for orange-widget-base==4.25.1\nBest match: orange-widget-base 4.25.1\nAdding orange-widget-base 4.25.1 to easy-install.pth file\ndetected new path './setuptools/_vendor'\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for orange-canvas-core==0.2.5\nBest match: orange-canvas-core 0.2.5\nAdding orange-canvas-core 0.2.5 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for openpyxl==3.1.5\nBest match: openpyxl 3.1.5\nAdding openpyxl 3.1.5 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for openTSNE==1.0.2\nBest match: openTSNE 1.0.2\nAdding openTSNE 1.0.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for numpy==1.26.4\nBest match: numpy 1.26.4\nAdding numpy 1.26.4 to easy-install.pth file\nInstalling f2py script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for networkx==3.4.2\nBest match: networkx 3.4.2\nAdding networkx 3.4.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for matplotlib==3.10.0\nBest match: matplotlib 3.10.0\nAdding matplotlib 3.10.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for keyrings.alt==5.0.2\nBest match: keyrings.alt 5.0.2\nAdding keyrings.alt 5.0.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for keyring==25.6.0\nBest match: keyring 25.6.0\nAdding keyring 25.6.0 to easy-install.pth file\nInstalling keyring script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for joblib==1.4.2\nBest match: joblib 1.4.2\nAdding joblib 1.4.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for httpx==0.28.1\nBest match: httpx 0.28.1\nAdding httpx 0.28.1 to easy-install.pth file\nInstalling httpx script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for chardet==5.2.0\nBest match: chardet 5.2.0\nAdding chardet 5.2.0 to easy-install.pth file\nInstalling chardetect script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for catboost==1.2.7\nBest match: catboost 1.2.7\nAdding catboost 1.2.7 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for Bottleneck==1.4.2\nBest match: Bottleneck 1.4.2\nAdding Bottleneck 1.4.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for baycomp==1.0.3\nBest match: baycomp 1.0.3\nAdding baycomp 1.0.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for AnyQt==0.2.0\nBest match: AnyQt 0.2.0\nAdding AnyQt 0.2.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for threadpoolctl==3.5.0\nBest match: threadpoolctl 3.5.0\nAdding threadpoolctl 3.5.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for certifi==2024.12.14\nBest match: certifi 2024.12.14\nAdding certifi 2024.12.14 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for urllib3==2.3.0\nBest match: urllib3 2.3.0\nAdding urllib3 2.3.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for idna==3.10\nBest match: idna 3.10\nAdding idna 3.10 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for charset-normalizer==3.4.1\nBest match: charset-normalizer 3.4.1\nAdding charset-normalizer 3.4.1 to easy-install.pth file\nInstalling normalizer script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for QtPy==2.4.2\nBest match: QtPy 2.4.2\nAdding QtPy 2.4.2 to easy-install.pth file\nInstalling qtpy script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for ipykernel==6.29.5\nBest match: ipykernel 6.29.5\nAdding ipykernel 6.29.5 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for jupyter-client==8.6.3\nBest match: jupyter-client 8.6.3\nAdding jupyter-client 8.6.3 to easy-install.pth file\nInstalling jupyter-kernel script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling jupyter-kernelspec script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling jupyter-run script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for jupyter-core==5.7.2\nBest match: jupyter-core 5.7.2\nAdding jupyter-core 5.7.2 to easy-install.pth file\nInstalling jupyter script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling jupyter-migrate script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling jupyter-troubleshoot script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for traitlets==5.14.3\nBest match: traitlets 5.14.3\nAdding traitlets 5.14.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for tzdata==2024.2\nBest match: tzdata 2024.2\nAdding tzdata 2024.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pytz==2024.2\nBest match: pytz 2024.2\nAdding pytz 2024.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for python-dateutil==2.9.0.post0\nBest match: python-dateutil 2.9.0.post0\nAdding python-dateutil 2.9.0.post0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for typing-extensions==4.12.2\nBest match: typing-extensions 4.12.2\ntyping-extensions 4.12.2 is already the active version in easy-install.pth\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/setuptools/_vendor\nSearching for qasync==0.27.1\nBest match: qasync 0.27.1\nAdding qasync 0.27.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for dictdiffer==0.9.0\nBest match: dictdiffer 0.9.0\nAdding dictdiffer 0.9.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for requests-cache==1.2.1\nBest match: requests-cache 1.2.1\nAdding requests-cache 1.2.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for commonmark==0.9.1\nBest match: commonmark 0.9.1\nAdding commonmark 0.9.1 to easy-install.pth file\nInstalling cmark script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for docutils==0.21.2\nBest match: docutils 0.21.2\nAdding docutils 0.21.2 to easy-install.pth file\nInstalling docutils script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling rst2html script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling rst2html4 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling rst2html5 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling rst2latex script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling rst2man script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling rst2odt script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling rst2pseudoxml script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling rst2s5 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling rst2xetex script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling rst2xml script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for et-xmlfile==2.0.0\nBest match: et-xmlfile 2.0.0\nAdding et-xmlfile 2.0.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pyparsing==3.2.1\nBest match: pyparsing 3.2.1\nAdding pyparsing 3.2.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pillow==11.1.0\nBest match: pillow 11.1.0\nAdding pillow 11.1.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for kiwisolver==1.4.8\nBest match: kiwisolver 1.4.8\nAdding kiwisolver 1.4.8 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for fonttools==4.55.3\nBest match: fonttools 4.55.3\nAdding fonttools 4.55.3 to easy-install.pth file\nInstalling fonttools script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling pyftmerge script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling pyftsubset script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling ttx script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for cycler==0.12.1\nBest match: cycler 0.12.1\nAdding cycler 0.12.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for contourpy==1.3.1\nBest match: contourpy 1.3.1\nAdding contourpy 1.3.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for jaraco.context==6.0.1\nBest match: jaraco.context 6.0.1\nAdding jaraco.context 6.0.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for jaraco.classes==3.4.0\nBest match: jaraco.classes 3.4.0\nAdding jaraco.classes 3.4.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for jaraco.functools==4.1.0\nBest match: jaraco.functools 4.1.0\nAdding jaraco.functools 4.1.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for importlib-metadata==8.5.0\nBest match: importlib-metadata 8.5.0\nAdding importlib-metadata 8.5.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for jeepney==0.8.0\nBest match: jeepney 0.8.0\nAdding jeepney 0.8.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for SecretStorage==3.3.3\nBest match: SecretStorage 3.3.3\nAdding SecretStorage 3.3.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for httpcore==1.0.7\nBest match: httpcore 1.0.7\nAdding httpcore 1.0.7 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for anyio==4.8.0\nBest match: anyio 4.8.0\nAdding anyio 4.8.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for six==1.17.0\nBest match: six 1.17.0\nAdding six 1.17.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for plotly==5.24.1\nBest match: plotly 5.24.1\nAdding plotly 5.24.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for graphviz==0.20.3\nBest match: graphviz 0.20.3\nAdding graphviz 0.20.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for tornado==6.4.2\nBest match: tornado 6.4.2\nAdding tornado 6.4.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pyzmq==26.2.0\nBest match: pyzmq 26.2.0\nAdding pyzmq 26.2.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for psutil==6.1.1\nBest match: psutil 6.1.1\nAdding psutil 6.1.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for nest-asyncio==1.6.0\nBest match: nest-asyncio 1.6.0\nAdding nest-asyncio 1.6.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for matplotlib-inline==0.1.7\nBest match: matplotlib-inline 0.1.7\nAdding matplotlib-inline 0.1.7 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for ipython==8.31.0\nBest match: ipython 8.31.0\nAdding ipython 8.31.0 to easy-install.pth file\nInstalling ipython script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\nInstalling ipython3 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for debugpy==1.8.11\nBest match: debugpy 1.8.11\nAdding debugpy 1.8.11 to easy-install.pth file\nInstalling debugpy script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for comm==0.2.2\nBest match: comm 0.2.2\nAdding comm 0.2.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for platformdirs==4.3.6\nBest match: platformdirs 4.3.6\nAdding platformdirs 4.3.6 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for url-normalize==1.4.3\nBest match: url-normalize 1.4.3\nAdding url-normalize 1.4.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for cattrs==24.1.2\nBest match: cattrs 24.1.2\nAdding cattrs 24.1.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for attrs==24.3.0\nBest match: attrs 24.3.0\nAdding attrs 24.3.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for backports.tarfile==1.2.0\nBest match: backports.tarfile 1.2.0\nbackports.tarfile 1.2.0 is already the active version in easy-install.pth\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/setuptools/_vendor\nSearching for more-itertools==10.5.0\nBest match: more-itertools 10.5.0\nAdding more-itertools 10.5.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for zipp==3.21.0\nBest match: zipp 3.21.0\nAdding zipp 3.21.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for cryptography==44.0.0\nBest match: cryptography 44.0.0\nAdding cryptography 44.0.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for h11==0.14.0\nBest match: h11 0.14.0\nAdding h11 0.14.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for sniffio==1.3.1\nBest match: sniffio 1.3.1\nAdding sniffio 1.3.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for exceptiongroup==1.2.2\nBest match: exceptiongroup 1.2.2\nAdding exceptiongroup 1.2.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for tenacity==9.0.0\nBest match: tenacity 9.0.0\nAdding tenacity 9.0.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for stack-data==0.6.3\nBest match: stack-data 0.6.3\nAdding stack-data 0.6.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for prompt-toolkit==3.0.48\nBest match: prompt-toolkit 3.0.48\nAdding prompt-toolkit 3.0.48 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pexpect==4.9.0\nBest match: pexpect 4.9.0\nAdding pexpect 4.9.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for jedi==0.19.2\nBest match: jedi 0.19.2\nAdding jedi 0.19.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for decorator==5.1.1\nBest match: decorator 5.1.1\nAdding decorator 5.1.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for cffi==1.17.1\nBest match: cffi 1.17.1\nAdding cffi 1.17.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pure-eval==0.2.3\nBest match: pure-eval 0.2.3\nAdding pure-eval 0.2.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for asttokens==3.0.0\nBest match: asttokens 3.0.0\nAdding asttokens 3.0.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for executing==2.1.0\nBest match: executing 2.1.0\nAdding executing 2.1.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for wcwidth==0.2.13\nBest match: wcwidth 0.2.13\nAdding wcwidth 0.2.13 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for ptyprocess==0.7.0\nBest match: ptyprocess 0.7.0\nAdding ptyprocess 0.7.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for parso==0.8.4\nBest match: parso 0.8.4\nAdding parso 0.8.4 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nSearching for pycparser==2.22\nBest match: pycparser 2.22\nAdding pycparser 2.22 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages\nFinished processing dependencies for Orange3==3.38.0.dev0+02a0652\nVerifying Orange installation...\n✅ Orange installation successful!\nSuccessfully installed orange using Python 3.10\n",
    "setup_res_stderr": "Using CPython 3.7.9\nCreating virtual environment at: .venv\nActivate with: source .venv/bin/activate\nResolved 18 packages in 191ms\nPrepared 18 packages in 1ms\nInstalled 18 packages in 195ms\n + cython==0.29.37\n + exceptiongroup==1.2.2\n + importlib-metadata==6.7.0\n + iniconfig==2.0.0\n + numpy==1.17.5\n + packaging==24.0\n + pluggy==1.2.0\n + pyqt5==5.15.10\n + pyqt5-qt5==5.15.16\n + pyqt5-sip==12.13.0\n + pyqtwebengine==5.15.6\n + pyqtwebengine-qt5==5.15.16\n + pytest==7.4.4\n + setuptools==59.8.0\n + tomli==2.0.1\n + typing-extensions==4.7.1\n + wheel==0.42.0\n + zipp==3.15.0\n  × No solution found when resolving dependencies:\n  ╰─▶ Because the current Python version (3.7.9) does not satisfy Python>=3.8 and all of:\n          pandas>=1.4.0,<=1.4.4\n          pandas>=1.5.1,<=1.5.3\n          pandas>=2.0.1,<=2.0.3\n      depend on Python>=3.8, we can conclude that all of:\n          pandas>=1.4.0,<=1.4.4\n          pandas>=1.5.1,<=1.5.3\n          pandas>=2.0.1,<=2.0.3\n       cannot be used.\n      And because only the following versions of pandas are available:\n          pandas<=1.4.0\n          pandas==1.4.1\n          pandas==1.4.2\n          pandas==1.4.3\n          pandas==1.4.4\n          pandas==1.5.0\n          pandas==1.5.1\n          pandas==1.5.2\n          pandas==1.5.3\n          pandas==2.0.0\n          pandas==2.0.1\n          pandas==2.0.2\n          pandas==2.0.3\n          pandas==2.1.0\n          pandas==2.1.1\n          pandas==2.1.2\n          pandas==2.1.3\n          pandas==2.1.4\n          pandas==2.2.0\n          pandas==2.2.1\n          pandas==2.2.2\n          pandas==2.2.3\n      we can conclude that all of:\n          pandas>=1.4.0,<1.5.0\n          pandas>1.5.0,<2.0.0\n          pandas>2.0.0,<2.1.0\n       cannot be used. (1)\n\n      Because the current Python version (3.7.9) does not satisfy Python>=3.9 and pandas>=2.1.0 depends on Python>=3.9, we can\n      conclude that pandas>=2.1.0 cannot be used.\n      And because we know from (1) that all of:\n          pandas>=1.4.0,<1.5.0\n          pandas>1.5.0,<2.0.0\n          pandas>2.0.0,<2.1.0\n       cannot be used, we can conclude that all of:\n          pandas>=1.4.0,<1.5.0\n          pandas>1.5.0,<2.0.0\n          pandas>2.0.0\n       cannot be used.\n      And because you require one of:\n          pandas>=1.4.0,<1.5.0\n          pandas>1.5.0,<2.0.0\n          pandas>2.0.0\n      we can conclude that your requirements are unsatisfiable.\n\n      hint: Pre-releases are available for `pandas` in the requested range (e.g., 2.2.0rc0), but pre-releases weren't enabled\n      (try: `--prerelease=allow`)\n  × No solution found when resolving dependencies:\n  ╰─▶ Because the current Python version (3.7.9) does not satisfy Python>=3.8 and pyqtgraph>=0.13.1,<=0.13.3 depends on\n      Python>=3.8, we can conclude that pyqtgraph>=0.13.1,<=0.13.3 cannot be used.\n      And because only the following versions of pyqtgraph are available:\n          pyqtgraph<=0.13.1\n          pyqtgraph==0.13.2\n          pyqtgraph==0.13.3\n          pyqtgraph==0.13.4\n          pyqtgraph==0.13.5\n          pyqtgraph==0.13.6\n          pyqtgraph==0.13.7\n      we can conclude that pyqtgraph>=0.13.1,<0.13.4 cannot be used. (1)\n\n      Because the current Python version (3.7.9) does not satisfy Python>=3.9 and pyqtgraph>=0.13.4 depends on Python>=3.9, we\n      can conclude that pyqtgraph>=0.13.4 cannot be used.\n      And because we know from (1) that pyqtgraph>=0.13.1,<0.13.4 cannot be used, we can conclude that pyqtgraph>=0.13.1 cannot\n      be used.\n      And because you require pyqtgraph>=0.13.1, we can conclude that your requirements are unsatisfiable.\nResolved 2 packages in 5ms\nInstalled 2 packages in 58ms\n + psycopg2==2.9.9\n + pymssql==2.3.2\nResolved 5 packages in 115ms\nInstalled 4 packages in 303ms\n + joblib==1.3.2\n + scikit-learn==1.0.2\n + scipy==1.7.3\n + threadpoolctl==3.1.0\nIn file included from /home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m/Python.h:8,\n                 from Orange/classification/_simple_tree.c:781:\n/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m/pyconfig.h:1504: warning: \"_GNU_SOURCE\" redefined\n 1504 | #define _GNU_SOURCE 1\n      | \nOrange/classification/_simple_tree.c:2: note: this is the location of the previous definition\n    2 | #define _GNU_SOURCE\n      | \nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/classification/_tree_scorers.c:775:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_2find_threshold_entropy’:\nOrange/classification/_tree_scorers.c:3426:27: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 3426 |   __pyx_t_7 = ((__pyx_v_N <= __pyx_v_min_leaf) != 0);\n      |                           ^~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_6find_threshold_MSE’:\nOrange/classification/_tree_scorers.c:4872:27: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 4872 |   __pyx_t_1 = ((__pyx_v_N <= __pyx_v_min_leaf) != 0);\n      |                           ^~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_8find_binarization_MSE’:\nOrange/classification/_tree_scorers.c:5618:43: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 5618 |           for (__pyx_t_19 = 0; __pyx_t_19 < __pyx_t_18; __pyx_t_19+=1) {\n      |                                           ^\nOrange/classification/_tree_scorers.c:5739:39: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 5739 |           __pyx_t_20 = ((__pyx_v_left >= __pyx_v_min_leaf) != 0);\n      |                                       ^~\nOrange/classification/_tree_scorers.c:5745:53: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 5745 |           __pyx_t_20 = (((__pyx_v_N - __pyx_v_left) >= __pyx_v_min_leaf) != 0);\n      |                                                     ^~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_14compute_predictions_csr’:\nOrange/classification/_tree_scorers.c:7206:41: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 7206 |         for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) {\n      |                                         ^\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_16compute_predictions_csc’:\nOrange/classification/_tree_scorers.c:7863:41: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 7863 |         for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) {\n      |                                         ^\nOrange/classification/_tree_scorers.c:7923:150: warning: comparison of integer expressions of different signedness: ‘__pyx_t_5numpy_int32_t’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]\n 7923 |               __pyx_t_16 = (((*((__pyx_t_5numpy_int32_t const  *) ( /* dim=0 */ (__pyx_v_indices.data + __pyx_t_15 * __pyx_v_indices.strides[0]) ))) != __pyx_v_i) != 0);\n      |                                                                                                                                                      ^~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/data/_contingency.c:775:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nOrange/data/_io.c: In function ‘__pyx_pf_6Orange_4data_3_io_sparse_read_float.constprop’:\nOrange/data/_io.c:4120:43: warning: ‘__pyx_v_decs’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4120 |           __pyx_v_value = ((__pyx_v_value * __pyx_v_decs) + (__pyx_v_c & 0xf));\n      |                            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/data/_io.c:4318:24: warning: ‘__pyx_v_value’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4318 |           __pyx_t_10 = PyFloat_FromDouble(__pyx_v_value); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 223, __pyx_L5_error)\n      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nOrange/data/_io.c:683:40: warning: ‘__pyx_v_attr_index’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n  683 |   #define PyInt_FromLong               PyLong_FromLong\n      |                                        ^~~~~~~~~~~~~~~\nOrange/data/_io.c:1590:7: note: ‘__pyx_v_attr_index’ was declared here\n 1590 |   int __pyx_v_attr_index;\n      |       ^~~~~~~~~~~~~~~~~~\nOrange/data/_io.c:3183:25: warning: ‘__pyx_v_atomp’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3183 |           __pyx_v_atomp = (__pyx_v_atomp + 1);\n      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/data/_valuecount.c:775:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/distance/_distance.c:775:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/preprocess/_discretize.c:774:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/preprocess/_relieff.cpp:790:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/projection/_som.c:775:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_5update_hex’:\nOrange/projection/_som.c:3944:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3944 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:3943:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3943 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pf_6Orange_10projection_4_som_8update_sparse.constprop’:\nOrange/projection/_som.c:5094:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5094 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:5093:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5093 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_1get_winners’:\nOrange/projection/_som.c:3244:223: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3244 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_y;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:2892:7: note: ‘__pyx_v_win_y’ was declared here\n 2892 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:3233:223: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3233 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_x;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:2891:7: note: ‘__pyx_v_win_x’ was declared here\n 2891 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pf_6Orange_10projection_4_som_10update_sparse_hex.constprop’:\nOrange/projection/_som.c:5842:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5842 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:5841:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5841 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_7get_winners_sparse’:\nOrange/projection/_som.c:4871:223: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4871 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_y;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:4389:7: note: ‘__pyx_v_win_y’ was declared here\n 4389 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:4860:223: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4860 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_x;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:4388:7: note: ‘__pyx_v_win_x’ was declared here\n 4388 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_3update’:\nOrange/projection/_som.c:3438:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3438 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/setuptools/command/easy_install.py:159: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools.\n  EasyInstallDeprecationWarning,\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.\n  setuptools.SetuptoolsDeprecationWarning,\nwarning: no files found matching 'README*' under directory 'Orange'\nwarning: no files found matching 'LICENSE' under directory 'Orange'\nwarning: no files found matching '*.basket' under directory 'Orange/datasets'\nwarning: no files found matching '*.svg' under directory 'Orange/canvas'\nwarning: no files found matching '*.js' under directory 'Orange/widgets'\nwarning: no files found matching '*.css' under directory 'Orange/widgets'\nwarning: no files found matching '*.html' under directory 'Orange/widgets'\nwarning: no files found matching '*.svg' under directory 'distribute'\nwarning: no files found matching 'COPYING'\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/pkg_resources/__init__.py:119: PkgResourcesDeprecationWarning:  is an invalid version and will not be supported in a future release\n  PkgResourcesDeprecationWarning,\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools.\n  setuptools.SetuptoolsDeprecationWarning,\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.7/site-packages/pkg_resources/__init__.py:119: PkgResourcesDeprecationWarning:  is an invalid version and will not be supported in a future release\n  PkgResourcesDeprecationWarning,\nerror: Couldn't find a setup script in /tmp/easy_install-cjv11i9d/scipy-1.15.0.tar.gz\nUsing CPython 3.8.20\nCreating virtual environment at: .venv\nActivate with: source .venv/bin/activate\nResolved 15 packages in 80ms\nPrepared 15 packages in 0.96ms\nInstalled 15 packages in 27ms\n + cython==0.29.37\n + exceptiongroup==1.2.2\n + iniconfig==2.0.0\n + numpy==1.24.4\n + packaging==24.2\n + pluggy==1.5.0\n + pyqt5==5.15.11\n + pyqt5-qt5==5.15.16\n + pyqt5-sip==12.15.0\n + pyqtwebengine==5.15.7\n + pyqtwebengine-qt5==5.15.16\n + pytest==8.3.4\n + setuptools==75.3.0\n + tomli==2.2.1\n + wheel==0.45.1\n  × No solution found when resolving dependencies:\n  ╰─▶ Because the current Python version (3.8.20) does not satisfy Python>=3.9 and scikit-learn>=1.4.0 depends on Python>=3.9,\n      we can conclude that scikit-learn>=1.4.0 cannot be used.\n      And because only the following versions of scikit-learn are available:\n          scikit-learn<=1.4.0\n          scikit-learn==1.4.1.post1\n          scikit-learn==1.4.2\n          scikit-learn==1.5.0\n          scikit-learn==1.5.1\n          scikit-learn==1.5.2\n          scikit-learn==1.6.0\n      and you require scikit-learn>=1.4.0, we can conclude that your requirements are unsatisfiable.\n\n      hint: Pre-releases are available for `scikit-learn` in the requested range (e.g., 1.6.0rc1), but pre-releases weren't\n      enabled (try: `--prerelease=allow`)\nResolved 63 packages in 110ms\nInstalled 60 packages in 120ms\n + anyqt==0.2.0\n + asttokens==3.0.0\n + attrs==24.3.0\n + backcall==0.2.0\n + cattrs==24.1.2\n + certifi==2024.12.14\n + charset-normalizer==3.4.1\n + comm==0.2.2\n + commonmark==0.9.1\n + contourpy==1.1.1\n + cycler==0.12.1\n + debugpy==1.8.11\n + decorator==5.1.1\n + dictdiffer==0.9.0\n + docutils==0.20.1\n + executing==2.1.0\n + fonttools==4.55.3\n + idna==3.10\n + importlib-metadata==8.5.0\n + importlib-resources==6.4.5\n + ipykernel==6.29.5\n + ipython==8.12.3\n + jedi==0.19.2\n + jupyter-client==8.6.3\n + jupyter-core==5.7.2\n + kiwisolver==1.4.7\n + matplotlib==3.7.5\n + matplotlib-inline==0.1.7\n + nest-asyncio==1.6.0\n + orange-canvas-core==0.2.2\n + orange-widget-base==4.24.0\n + parso==0.8.4\n + pexpect==4.9.0\n + pickleshare==0.7.5\n + pillow==10.4.0\n + pip==24.3.1\n + platformdirs==4.3.6\n + prompt-toolkit==3.0.48\n + psutil==6.1.1\n + ptyprocess==0.7.0\n + pure-eval==0.2.3\n + pygments==2.19.1\n + pyparsing==3.1.4\n + pyqtgraph==0.13.3\n + python-dateutil==2.9.0.post0\n + pyzmq==26.2.0\n + qasync==0.27.1\n + qtconsole==5.6.1\n + qtpy==2.4.2\n + requests==2.32.3\n + requests-cache==1.2.1\n + six==1.17.0\n + stack-data==0.6.3\n + tornado==6.4.2\n + traitlets==5.14.3\n + typing-extensions==4.12.2\n + url-normalize==1.4.3\n + urllib3==2.2.3\n + wcwidth==0.2.13\n + zipp==3.20.2\nResolved 2 packages in 2ms\nInstalled 2 packages in 4ms\n + psycopg2==2.9.10\n + pymssql==2.3.2\nIn file included from /home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8/Python.h:8,\n                 from Orange/classification/_simple_tree.c:781:\n/home/gcpuser/.local/share/uv/python/cpython-3.8.20-linux-x86_64-gnu/include/python3.8/pyconfig.h:1578: warning: \"_GNU_SOURCE\" redefined\n 1578 | #define _GNU_SOURCE 1\n      | \nOrange/classification/_simple_tree.c:2: note: this is the location of the previous definition\n    2 | #define _GNU_SOURCE\n      | \nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h:1940,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/classification/_tree_scorers.c:775:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_2find_threshold_entropy’:\nOrange/classification/_tree_scorers.c:3426:27: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 3426 |   __pyx_t_7 = ((__pyx_v_N <= __pyx_v_min_leaf) != 0);\n      |                           ^~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_6find_threshold_MSE’:\nOrange/classification/_tree_scorers.c:4872:27: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 4872 |   __pyx_t_1 = ((__pyx_v_N <= __pyx_v_min_leaf) != 0);\n      |                           ^~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_8find_binarization_MSE’:\nOrange/classification/_tree_scorers.c:5618:43: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 5618 |           for (__pyx_t_19 = 0; __pyx_t_19 < __pyx_t_18; __pyx_t_19+=1) {\n      |                                           ^\nOrange/classification/_tree_scorers.c:5739:39: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 5739 |           __pyx_t_20 = ((__pyx_v_left >= __pyx_v_min_leaf) != 0);\n      |                                       ^~\nOrange/classification/_tree_scorers.c:5745:53: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 5745 |           __pyx_t_20 = (((__pyx_v_N - __pyx_v_left) >= __pyx_v_min_leaf) != 0);\n      |                                                     ^~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_14compute_predictions_csr’:\nOrange/classification/_tree_scorers.c:7206:41: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 7206 |         for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) {\n      |                                         ^\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_16compute_predictions_csc’:\nOrange/classification/_tree_scorers.c:7863:41: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 7863 |         for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) {\n      |                                         ^\nOrange/classification/_tree_scorers.c:7923:150: warning: comparison of integer expressions of different signedness: ‘__pyx_t_5numpy_int32_t’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]\n 7923 |               __pyx_t_16 = (((*((__pyx_t_5numpy_int32_t const  *) ( /* dim=0 */ (__pyx_v_indices.data + __pyx_t_15 * __pyx_v_indices.strides[0]) ))) != __pyx_v_i) != 0);\n      |                                                                                                                                                      ^~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h:1940,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/data/_contingency.c:775:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nOrange/data/_io.c: In function ‘__pyx_pf_6Orange_4data_3_io_sparse_read_float.constprop’:\nOrange/data/_io.c:4120:43: warning: ‘__pyx_v_decs’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4120 |           __pyx_v_value = ((__pyx_v_value * __pyx_v_decs) + (__pyx_v_c & 0xf));\n      |                            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/data/_io.c:4318:24: warning: ‘__pyx_v_value’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4318 |           __pyx_t_10 = PyFloat_FromDouble(__pyx_v_value); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 223, __pyx_L5_error)\n      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nOrange/data/_io.c:683:40: warning: ‘__pyx_v_attr_index’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n  683 |   #define PyInt_FromLong               PyLong_FromLong\n      |                                        ^~~~~~~~~~~~~~~\nOrange/data/_io.c:1590:7: note: ‘__pyx_v_attr_index’ was declared here\n 1590 |   int __pyx_v_attr_index;\n      |       ^~~~~~~~~~~~~~~~~~\nOrange/data/_io.c:3183:25: warning: ‘__pyx_v_atomp’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3183 |           __pyx_v_atomp = (__pyx_v_atomp + 1);\n      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h:1940,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/data/_valuecount.c:775:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h:1940,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/distance/_distance.c:775:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h:1940,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/preprocess/_discretize.c:774:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h:1940,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/preprocess/_relieff.cpp:790:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarraytypes.h:1940,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/projection/_som.c:775:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_5update_hex’:\nOrange/projection/_som.c:3944:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3944 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:3943:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3943 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pf_6Orange_10projection_4_som_8update_sparse.constprop’:\nOrange/projection/_som.c:5094:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5094 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:5093:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5093 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_3update’:\nOrange/projection/_som.c:3438:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3438 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_1get_winners’:\nOrange/projection/_som.c:3244:223: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3244 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_y;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:2892:7: note: ‘__pyx_v_win_y’ was declared here\n 2892 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:3233:223: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3233 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_x;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:2891:7: note: ‘__pyx_v_win_x’ was declared here\n 2891 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pf_6Orange_10projection_4_som_10update_sparse_hex.constprop’:\nOrange/projection/_som.c:5842:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5842 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:5841:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5841 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_7get_winners_sparse’:\nOrange/projection/_som.c:4871:223: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4871 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_y;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:4389:7: note: ‘__pyx_v_win_y’ was declared here\n 4389 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:4860:223: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4860 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_x;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:4388:7: note: ‘__pyx_v_win_x’ was declared here\n 4388 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite'\n  warnings.warn(msg)\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite'\n  warnings.warn(msg)\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/setuptools/command/develop.py:41: EasyInstallDeprecationWarning: easy_install command is deprecated.\n!!\n\n        ********************************************************************************\n        Please avoid running ``setup.py`` and ``easy_install``.\n        Instead, use pypa/build, pypa/installer or other\n        standards-based tools.\n\n        See https://github.com/pypa/setuptools/issues/917 for details.\n        ********************************************************************************\n\n!!\n  easy_install.initialize_options(self)\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n!!\n\n        ********************************************************************************\n        Please avoid running ``setup.py`` directly.\n        Instead, use pypa/build, pypa/installer or other\n        standards-based tools.\n\n        See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n        ********************************************************************************\n\n!!\n  self.initialize_options()\nwarning: no files found matching 'README*' under directory 'Orange'\nwarning: no files found matching 'LICENSE' under directory 'Orange'\nwarning: no files found matching '*.basket' under directory 'Orange/datasets'\nwarning: no files found matching '*.svg' under directory 'Orange/canvas'\nwarning: no files found matching '*.js' under directory 'Orange/widgets'\nwarning: no files found matching '*.css' under directory 'Orange/widgets'\nwarning: no files found matching '*.html' under directory 'Orange/widgets'\nwarning: no files found matching '*.svg' under directory 'distribute'\nwarning: no files found matching 'COPYING'\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/setuptools/_distutils/dist.py:261: UserWarning: Unknown distribution option: 'test_suite'\n  warnings.warn(msg)\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.8/site-packages/setuptools/_distutils/cmd.py:66: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n!!\n\n        ********************************************************************************\n        Please avoid running ``setup.py`` directly.\n        Instead, use pypa/build, pypa/installer or other\n        standards-based tools.\n\n        See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n        ********************************************************************************\n\n!!\n  self.initialize_options()\nerror: Couldn't find a setup script in /tmp/easy_install-yie9ixhb/scipy-1.15.0.tar.gz\nUsing CPython 3.10.16\nCreating virtual environment at: .venv\nActivate with: source .venv/bin/activate\nResolved 15 packages in 74ms\nPrepared 15 packages in 1ms\nInstalled 15 packages in 71ms\n + cython==3.0.11\n + exceptiongroup==1.2.2\n + iniconfig==2.0.0\n + numpy==2.2.1\n + packaging==24.2\n + pluggy==1.5.0\n + pyqt5==5.15.11\n + pyqt5-qt5==5.15.16\n + pyqt5-sip==12.16.1\n + pyqtwebengine==5.15.7\n + pyqtwebengine-qt5==5.15.16\n + pytest==8.3.4\n + setuptools==75.8.0\n + tomli==2.2.1\n + wheel==0.45.1\nResolved 62 packages in 29ms\nUninstalled 1 package in 11ms\nInstalled 60 packages in 302ms\n + anyio==4.8.0\n + backports-tarfile==1.2.0\n + baycomp==1.0.3\n + bottleneck==1.4.2\n + catboost==1.2.7\n + certifi==2024.12.14\n + cffi==1.17.1\n + chardet==5.2.0\n + charset-normalizer==3.4.1\n + contourpy==1.3.1\n + cryptography==44.0.0\n + cycler==0.12.1\n + et-xmlfile==2.0.0\n + fonttools==4.55.3\n + graphviz==0.20.3\n + h11==0.14.0\n + httpcore==1.0.7\n + httpx==0.28.1\n + idna==3.10\n + importlib-metadata==8.5.0\n + jaraco-classes==3.4.0\n + jaraco-context==6.0.1\n + jaraco-functools==4.1.0\n + jeepney==0.8.0\n + joblib==1.4.2\n + keyring==25.6.0\n + keyrings-alt==5.0.2\n + kiwisolver==1.4.8\n + matplotlib==3.10.0\n + more-itertools==10.5.0\n + networkx==3.4.2\n - numpy==2.2.1\n + numpy==1.26.4\n + openpyxl==3.1.5\n + opentsne==1.0.2\n + pandas==2.2.3\n + pillow==11.1.0\n + pip==24.3.1\n + plotly==5.24.1\n + pycparser==2.22\n + pyparsing==3.2.1\n + python-dateutil==2.9.0.post0\n + python-louvain==0.16\n + pytz==2024.2\n + pyyaml==6.0.2\n + requests==2.32.3\n + scikit-learn==1.6.0\n + scipy==1.15.0\n + secretstorage==3.3.3\n + serverfiles==0.3.1\n + six==1.17.0\n + sniffio==1.3.1\n + tenacity==9.0.0\n + threadpoolctl==3.5.0\n + typing-extensions==4.12.2\n + tzdata==2024.2\n + urllib3==2.3.0\n + xgboost==2.0.3\n + xlrd==2.0.1\n + xlsxwriter==3.2.0\n + zipp==3.21.0\nResolved 58 packages in 24ms\nInstalled 39 packages in 42ms\n + anyqt==0.2.0\n + asttokens==3.0.0\n + attrs==24.3.0\n + cattrs==24.1.2\n + comm==0.2.2\n + commonmark==0.9.1\n + debugpy==1.8.11\n + decorator==5.1.1\n + dictdiffer==0.9.0\n + docutils==0.21.2\n + executing==2.1.0\n + ipykernel==6.29.5\n + ipython==8.31.0\n + jedi==0.19.2\n + jupyter-client==8.6.3\n + jupyter-core==5.7.2\n + matplotlib-inline==0.1.7\n + nest-asyncio==1.6.0\n + orange-canvas-core==0.2.5\n + orange-widget-base==4.25.1\n + parso==0.8.4\n + pexpect==4.9.0\n + platformdirs==4.3.6\n + prompt-toolkit==3.0.48\n + psutil==6.1.1\n + ptyprocess==0.7.0\n + pure-eval==0.2.3\n + pygments==2.19.1\n + pyqtgraph==0.13.7\n + pyzmq==26.2.0\n + qasync==0.27.1\n + qtconsole==5.6.1\n + qtpy==2.4.2\n + requests-cache==1.2.1\n + stack-data==0.6.3\n + tornado==6.4.2\n + traitlets==5.14.3\n + url-normalize==1.4.3\n + wcwidth==0.2.13\nResolved 39 packages in 58ms\nInstalled 25 packages in 54ms\n + alabaster==1.0.0\n + astroid==3.3.8\n + babel==2.16.0\n + colorama==0.4.6\n + dill==0.3.9\n + imagesize==1.4.1\n + isort==5.13.2\n + jinja2==3.1.5\n + libcst==1.5.1\n + mando==0.7.1\n + markupsafe==3.0.2\n + mccabe==0.7.0\n + pylint==3.3.3\n + radon==6.0.1\n + recommonmark==0.7.1\n + snowballstemmer==2.2.0\n + sphinx==8.1.3\n + sphinxcontrib-applehelp==2.0.0\n + sphinxcontrib-devhelp==2.0.0\n + sphinxcontrib-htmlhelp==2.1.0\n + sphinxcontrib-jsmath==1.0.1\n + sphinxcontrib-qthelp==2.0.0\n + sphinxcontrib-serializinghtml==2.0.0\n + tomlkit==0.13.2\n + trubar==0.3.4\nResolved 2 packages in 2ms\nInstalled 2 packages in 4ms\n + psycopg2==2.9.10\n + pymssql==2.3.2\nperformance hint: Orange/preprocess/_relieff.pyx:63:5: Exception check on 'calc_difference' will always require the GIL to be acquired.\nPossible solutions:\n\t1. Declare 'calc_difference' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.\n\t2. Use an 'int' return type on 'calc_difference' to allow an error code to be returned.\nperformance hint: Orange/preprocess/_relieff.pyx:119:5: Exception check on 'k_nearest_reg' will always require the GIL to be acquired.\nPossible solutions:\n\t1. Declare 'k_nearest_reg' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.\n\t2. Use an 'int' return type on 'k_nearest_reg' to allow an error code to be returned.\nperformance hint: Orange/preprocess/_relieff.pyx:183:5: Exception check on 'k_nearest_per_class' will always require the GIL to be acquired.\nPossible solutions:\n\t1. Declare 'k_nearest_per_class' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.\n\t2. Use an 'int' return type on 'k_nearest_per_class' to allow an error code to be returned.\nperformance hint: Orange/preprocess/_relieff.pyx:161:23: Exception check after calling 'calc_difference' will always require the GIL to be acquired.\nPossible solutions:\n\t1. Declare 'calc_difference' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.\n\t2. Use an 'int' return type on 'calc_difference' to allow an error code to be returned.\nperformance hint: Orange/preprocess/_relieff.pyx:177:23: Exception check after calling 'calc_difference' will always require the GIL to be acquired.\nPossible solutions:\n\t1. Declare 'calc_difference' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.\n\t2. Use an 'int' return type on 'calc_difference' to allow an error code to be returned.\nperformance hint: Orange/preprocess/_relieff.pyx:201:23: Exception check after calling 'calc_difference' will always require the GIL to be acquired.\nPossible solutions:\n\t1. Declare 'calc_difference' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.\n\t2. Use an 'int' return type on 'calc_difference' to allow an error code to be returned.\nperformance hint: Orange/preprocess/_relieff.pyx:217:27: Exception check after calling 'calc_difference' will always require the GIL to be acquired.\nPossible solutions:\n\t1. Declare 'calc_difference' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.\n\t2. Use an 'int' return type on 'calc_difference' to allow an error code to be returned.\nperformance hint: Orange/preprocess/_relieff.pyx:250:25: Exception check after calling 'k_nearest_reg' will always require the GIL to be acquired.\nPossible solutions:\n\t1. Declare 'k_nearest_reg' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.\n\t2. Use an 'int' return type on 'k_nearest_reg' to allow an error code to be returned.\nperformance hint: Orange/preprocess/_relieff.pyx:287:31: Exception check after calling 'k_nearest_per_class' will always require the GIL to be acquired.\nPossible solutions:\n\t1. Declare 'k_nearest_per_class' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.\n\t2. Use an 'int' return type on 'k_nearest_per_class' to allow an error code to be returned.\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/setuptools/_distutils/dist.py:270: UserWarning: Unknown distribution option: 'test_suite'\n  warnings.warn(msg)\nIn file included from /home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10/Python.h:8,\n                 from Orange/classification/_simple_tree.c:781:\n/home/gcpuser/.local/share/uv/python/cpython-3.10.16-linux-x86_64-gnu/include/python3.10/pyconfig.h:1621: warning: \"_GNU_SOURCE\" redefined\n 1621 | #define _GNU_SOURCE 1\n      | \nOrange/classification/_simple_tree.c:2: note: this is the location of the previous definition\n    2 | #define _GNU_SOURCE\n      | \nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/classification/_tree_scorers.c:1253:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_2find_threshold_entropy’:\nOrange/classification/_tree_scorers.c:20278:26: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n20278 |   __pyx_t_7 = (__pyx_v_N <= __pyx_v_min_leaf);\n      |                          ^~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_6find_threshold_MSE’:\nOrange/classification/_tree_scorers.c:21847:26: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n21847 |   __pyx_t_1 = (__pyx_v_N <= __pyx_v_min_leaf);\n      |                          ^~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_8find_binarization_MSE’:\nOrange/classification/_tree_scorers.c:22657:43: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n22657 |           for (__pyx_t_19 = 0; __pyx_t_19 < __pyx_t_18; __pyx_t_19+=1) {\n      |                                           ^\nOrange/classification/_tree_scorers.c:22778:38: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n22778 |           __pyx_t_20 = (__pyx_v_left >= __pyx_v_min_leaf);\n      |                                      ^~\nOrange/classification/_tree_scorers.c:22784:52: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n22784 |           __pyx_t_20 = ((__pyx_v_N - __pyx_v_left) >= __pyx_v_min_leaf);\n      |                                                    ^~\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_14compute_predictions_csr’:\nOrange/classification/_tree_scorers.c:24434:41: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n24434 |         for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) {\n      |                                         ^\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_16compute_predictions_csc’:\nOrange/classification/_tree_scorers.c:25156:41: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n25156 |         for (__pyx_t_12 = 0; __pyx_t_12 < __pyx_t_11; __pyx_t_12+=1) {\n      |                                         ^\nOrange/classification/_tree_scorers.c:25216:149: warning: comparison of integer expressions of different signedness: ‘__pyx_t_5numpy_int32_t’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]\n25216 |               __pyx_t_16 = ((*((__pyx_t_5numpy_int32_t const  *) ( /* dim=0 */ (__pyx_v_indices.data + __pyx_t_15 * __pyx_v_indices.strides[0]) ))) != __pyx_v_i);\n      |                                                                                                                                                     ^~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/data/_contingency.c:1253:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nOrange/data/_io.c: In function ‘__pyx_pf_6Orange_4data_3_io_sparse_read_float.constprop’:\nOrange/data/_io.c:5091:43: warning: ‘__pyx_v_decs’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5091 |           __pyx_v_value = ((__pyx_v_value * __pyx_v_decs) + (__pyx_v_c & 0xf));\n      |                            ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/data/_io.c:5261:23: warning: ‘__pyx_v_value’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5261 |           __pyx_t_5 = PyFloat_FromDouble(__pyx_v_value); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 223, __pyx_L5_error)\n      |                       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nOrange/data/_io.c:1148:40: warning: ‘__pyx_v_attr_index’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 1148 |   #define PyInt_FromLong               PyLong_FromLong\n      |                                        ^~~~~~~~~~~~~~~\nOrange/data/_io.c:2863:7: note: ‘__pyx_v_attr_index’ was declared here\n 2863 |   int __pyx_v_attr_index;\n      |       ^~~~~~~~~~~~~~~~~~\nOrange/data/_io.c:4691:30: warning: ‘__pyx_v_atomp’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4691 |           (__pyx_v_atomp[0]) = 0;\n      |           ~~~~~~~~~~~~~~~~~~~^~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/data/_valuecount.c:1253:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/distance/_distance.c:1253:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/preprocess/_discretize.c:1252:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/preprocess/_relieff.cpp:1266:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\n                 from Orange/projection/_som.c:1253:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \"Using deprecated NumPy API, disable it with \" \"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\" [-Wcpp]\n   17 | #warning \"Using deprecated NumPy API, disable it with \" \\\n      |  ^~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_5update_hex’:\nOrange/projection/_som.c:20732:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n20732 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:20731:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n20731 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pf_6Orange_10projection_4_som_10update_sparse_hex.constprop’:\nOrange/projection/_som.c:22819:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n22819 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:22818:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n22818 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pf_6Orange_10projection_4_som_8update_sparse.constprop’:\nOrange/projection/_som.c:21996:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n21996 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:21995:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n21995 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_1get_winners’:\nOrange/projection/_som.c:19911:223: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n19911 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_23, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_24, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_y;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:19558:7: note: ‘__pyx_v_win_y’ was declared here\n19558 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:19900:223: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n19900 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_24, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_23, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_x;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:19557:7: note: ‘__pyx_v_win_x’ was declared here\n19557 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_3update’:\nOrange/projection/_som.c:20161:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n20161 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_7get_winners_sparse’:\nOrange/projection/_som.c:21717:223: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n21717 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_27, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_28, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_y;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:21234:7: note: ‘__pyx_v_win_y’ was declared here\n21234 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:21706:223: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n21706 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_28, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_27, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_x;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:21233:7: note: ‘__pyx_v_win_x’ was declared here\n21233 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/setuptools/_distutils/dist.py:270: UserWarning: Unknown distribution option: 'test_suite'\n  warnings.warn(msg)\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/setuptools/command/develop.py:41: EasyInstallDeprecationWarning: easy_install command is deprecated.\n!!\n\n        ********************************************************************************\n        Please avoid running ``setup.py`` and ``easy_install``.\n        Instead, use pypa/build, pypa/installer or other\n        standards-based tools.\n\n        See https://github.com/pypa/setuptools/issues/917 for details.\n        ********************************************************************************\n\n!!\n  easy_install.initialize_options(self)\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d/.venv/lib/python3.10/site-packages/setuptools/_distutils/cmd.py:79: SetuptoolsDeprecationWarning: setup.py install is deprecated.\n!!\n\n        ********************************************************************************\n        Please avoid running ``setup.py`` directly.\n        Instead, use pypa/build, pypa/installer or other\n        standards-based tools.\n\n        See https://blog.ganssle.io/articles/2021/10/setup-py-deprecated.html for details.\n        ********************************************************************************\n\n!!\n  self.initialize_options()\nwarning: no files found matching 'README*' under directory 'Orange'\nwarning: no files found matching 'LICENSE' under directory 'Orange'\nwarning: no files found matching '*.basket' under directory 'Orange/datasets'\nwarning: no files found matching '*.svg' under directory 'Orange/canvas'\nwarning: no files found matching '*.js' under directory 'Orange/widgets'\nwarning: no files found matching '*.css' under directory 'Orange/widgets'\nwarning: no files found matching '*.html' under directory 'Orange/widgets'\nwarning: no files found matching '*.svg' under directory 'distribute'\nwarning: no files found matching 'COPYING'\nResolved 102 packages in 2.20s\nPrepared 1 package in 46.02s\nUninstalled 1 package in 0.22ms\nInstalled 1 package in 0.93ms\n - orange3==3.38.0.dev0+02a0652\n + orange3==3.38.0.dev0+02a0652 (from file:///home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d)\n",
    "new_commit_res_code": 0,
    "new_commit_res_stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.10.16, pytest-8.3.4, pluggy-1.5.0\nrootdir: /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d\nconfigfile: pyproject.toml\nplugins: anyio-4.8.0, typeguard-4.3.0\ncollected 29 items\n\nr2e_tests/test_1.py sss..........................                        [100%]\n\n==================================== PASSES ====================================\n=========================== short test summary info ============================\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_change_degree\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_has_unconditional_apply\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_image_export\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_data\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_data_disconnect\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_data_learner_adequacy\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_preprocessor\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_preprocessor_disconnect\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_preprocessors\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_kernel_equation\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_kernel_spins\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_migrate_degree\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_minimum_size\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_msg_base_class\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_output_learner\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_output_learner_name\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_output_model\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_output_model_name\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_output_model_picklable\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_parameters\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_parameters_default\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_parameters_svm_type\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_parameters_unchecked\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_params_trigger_settings_changed\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_send_report\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_sparse_warning\nSKIPPED [1] .venv/lib/python3.10/site-packages/orangewidget/tests/base.py:248: image exporting not tested as .widget was not set\nSKIPPED [1] .venv/lib/python3.10/site-packages/orangewidget/tests/base.py:242: minimum size not tested as .widget was not set\nSKIPPED [1] .venv/lib/python3.10/site-packages/orangewidget/tests/base.py:254: msg base class not tested as .widget was not set\n======================== 26 passed, 3 skipped in 6.70s =========================\nWidgets left: 0    Max widgets: 2354 \n\n",
    "new_commit_res_stderr": "",
    "old_commit_res_code": 1,
    "old_commit_res_stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.10.16, pytest-8.3.4, pluggy-1.5.0\nrootdir: /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_02a06523fe7d4ed74ee4de952591c0765277c63d\nconfigfile: pyproject.toml\nplugins: anyio-4.8.0, typeguard-4.3.0\ncollected 29 items\n\nr2e_tests/test_1.py sssF..........F..............                        [100%]\n\n=================================== FAILURES ===================================\n__________________ TestOWSVMClassification.test_change_degree __________________\n\nself = <r2e_tests.test_1.TestOWSVMClassification testMethod=test_change_degree>\n\n    def test_change_degree(self):\n        data = Table(\"iris\")\n        self.send_signal(self.widget.Inputs.data, data)\n        self.widget.kernel_box.buttons[1].click()\n        degree_spin = self.widget._kernel_params[2]  # pylint: disable=protected-access\n        degree_spin.stepUp()\n>       self.assertEqual(self.widget.degree, 4)\nE       AssertionError: 3.5 != 4\n\nr2e_tests/test_1.py:112: AssertionError\n_________________ TestOWSVMClassification.test_migrate_degree __________________\n\nself = <r2e_tests.test_1.TestOWSVMClassification testMethod=test_migrate_degree>\n\n    def test_migrate_degree(self):\n        settings = {}\n        OWSVM.migrate_settings(settings, 1)\n    \n        settings = {\"degree\": 4.0}\n        OWSVM.migrate_settings(settings, 1)\n>       self.assertIsInstance(settings[\"degree\"], int)\nE       AssertionError: 4.0 is not an instance of <class 'int'>\n\nr2e_tests/test_1.py:123: AssertionError\n==================================== PASSES ====================================\n=========================== short test summary info ============================\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_has_unconditional_apply\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_image_export\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_data\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_data_disconnect\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_data_learner_adequacy\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_preprocessor\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_preprocessor_disconnect\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_input_preprocessors\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_kernel_equation\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_kernel_spins\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_minimum_size\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_msg_base_class\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_output_learner\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_output_learner_name\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_output_model\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_output_model_name\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_output_model_picklable\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_parameters\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_parameters_default\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_parameters_svm_type\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_parameters_unchecked\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_params_trigger_settings_changed\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_send_report\nPASSED r2e_tests/test_1.py::TestOWSVMClassification::test_sparse_warning\nSKIPPED [1] .venv/lib/python3.10/site-packages/orangewidget/tests/base.py:248: image exporting not tested as .widget was not set\nSKIPPED [1] .venv/lib/python3.10/site-packages/orangewidget/tests/base.py:242: minimum size not tested as .widget was not set\nSKIPPED [1] .venv/lib/python3.10/site-packages/orangewidget/tests/base.py:254: msg base class not tested as .widget was not set\nFAILED r2e_tests/test_1.py::TestOWSVMClassification::test_change_degree - Ass...\nFAILED r2e_tests/test_1.py::TestOWSVMClassification::test_migrate_degree - As...\n=================== 2 failed, 24 passed, 3 skipped in 4.66s ====================\nWidgets left: 0    Max widgets: 2354 \n\n",
    "old_commit_res_stderr": ""
}
Orange/widgets/model/owsvm.py Orange/widgets/model/tests/test_owsvm.py
We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
[ISSUE]
**Title:** SVM Degree Parameter Accepts Floats Instead of Integers

**Description:**
In the OWSVM widget, the `degree` parameter is intended to specify the degree of the polynomial kernel, which should be an integer value. However, the widget currently allows `degree` to be set as a floating-point number. This leads to inconsistencies and potential errors when the SVM algorithm expects an integer degree.

**Example Buggy Code:**
```python
def test_change_degree():
    data = Table("iris")
    widget.send_signal(Input.data, data)
    widget.kernel_box.buttons[1].click()  # Select polynomial kernel
    degree_spin = widget._kernel_params[2]
    degree_spin.stepUp()  # Attempts to set degree to 3.5 instead of 4
    print(widget.degree)  # Outputs: 3.5
```
In this example, incrementing the `degree` spin control results in a floating-point value (`3.5`) instead of the expected integer (`4`), causing the widget to malfunction.

**Expected Behavior:**
The `degree` parameter should strictly accept and handle integer values. Incrementing the degree should transition from one integer to the next (e.g., from `3` to `4`) without introducing decimal values. This ensures compatibility with the SVM algorithm and prevents unexpected behavior or errors.

**Actual Behavior:**
Currently, the `degree` parameter accepts floating-point numbers. When attempting to increment the degree, it results in non-integer values (e.g., `3.5`), leading to assertion failures and potential issues during model training or evaluation.

[/ISSUE]
--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.

--- BEGIN FILE ---
```
### Orange/widgets/model/owsvm.py
from collections import OrderedDict

from AnyQt.QtCore import Qt
from AnyQt.QtWidgets import QLabel, QGridLayout
import scipy.sparse as sp

from Orange.data import Table
from Orange.modelling import SVMLearner, NuSVMLearner
from Orange.widgets import gui
from Orange.widgets.widget import Msg
from Orange.widgets.settings import Setting
from Orange.widgets.utils.owlearnerwidget import OWBaseLearner
from Orange.widgets.utils.signals import Output
from Orange.widgets.utils.widgetpreview import WidgetPreview


class OWSVM(OWBaseLearner):
    name = 'SVM'
    description = "Support Vector Machines map inputs to higher-dimensional " \
                  "feature spaces."
    icon = "icons/SVM.svg"
    replaces = [
        "Orange.widgets.classify.owsvmclassification.OWSVMClassification",
        "Orange.widgets.regression.owsvmregression.OWSVMRegression",
    ]
    priority = 50
    keywords = "svm, support vector machines"

    LEARNER = SVMLearner

    class Outputs(OWBaseLearner.Outputs):
        support_vectors = Output("Support Vectors", Table, explicit=True,
                                 replaces=["Support vectors"])

    class Warning(OWBaseLearner.Warning):
        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')

    #: Different types of SVMs
    SVM, Nu_SVM = range(2)
    #: SVM type
    svm_type = Setting(SVM)

    C = Setting(1.)  # pylint: disable=invalid-name
    epsilon = Setting(.1)
    nu_C = Setting(1.)
    nu = Setting(.5)  # pylint: disable=invalid-name

    #: Kernel types
    Linear, Poly, RBF, Sigmoid = range(4)
    #: Selected kernel type
    kernel_type = Setting(RBF)
    #: kernel degree
    degree = Setting(3)
    #: gamma
    gamma = Setting(0.0)
    #: coef0 (adative constant)
    coef0 = Setting(1.0)

    #: numerical tolerance
    tol = Setting(0.001)
    #: whether or not to limit number of iterations
    limit_iter = Setting(True)
    #: maximum number of iterations
    max_iter = Setting(100)

    _default_gamma = "auto"
    kernels = (("Linear", "x⋅y"),
               ("Polynomial", "(g x⋅y + c)<sup>d</sup>"),
               ("RBF", "exp(-g|x-y|²)"),
               ("Sigmoid", "tanh(g x⋅y + c)"))

    def add_main_layout(self):
        self._add_type_box()
        self._add_kernel_box()
        self._add_optimization_box()
        self._show_right_kernel()

    def _add_type_box(self):
        # this is part of init, pylint: disable=attribute-defined-outside-init
        form = QGridLayout()
        self.type_box = box = gui.radioButtonsInBox(
            self.controlArea, self, "svm_type", [], box="SVM Type",
            orientation=form, callback=self._update_type)

        self.epsilon_radio = gui.appendRadioButton(
            box, "SVM", addToLayout=False)
        self.c_spin = gui.doubleSpin(
            box, self, "C", 0.1, 512.0, 0.1, decimals=2,
            alignment=Qt.AlignRight, addToLayout=False,
            callback=self.settings_changed)
        self.epsilon_spin = gui.doubleSpin(
            box, self, "epsilon", 0.1, 512.0, 0.1, decimals=2,
            alignment=Qt.AlignRight, addToLayout=False,
            callback=self.settings_changed)
        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)
        form.addWidget(QLabel("Cost (C):"), 0, 1, Qt.AlignRight)
        form.addWidget(self.c_spin, 0, 2)
        form.addWidget(QLabel(
            "Regression loss epsilon (ε):"), 1, 1, Qt.AlignRight)
        form.addWidget(self.epsilon_spin, 1, 2)

        self.nu_radio = gui.appendRadioButton(box, "ν-SVM", addToLayout=False)
        self.nu_C_spin = gui.doubleSpin(
            box, self, "nu_C", 0.1, 512.0, 0.1, decimals=2,
            alignment=Qt.AlignRight, addToLayout=False,
            callback=self.settings_changed)
        self.nu_spin = gui.doubleSpin(
            box, self, "nu", 0.05, 1.0, 0.05, decimals=2,
            alignment=Qt.AlignRight, addToLayout=False,
            callback=self.settings_changed)
        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)
        form.addWidget(QLabel("Regression cost (C):"), 2, 1, Qt.AlignRight)
        form.addWidget(self.nu_C_spin, 2, 2)
        form.addWidget(QLabel("Complexity bound (ν):"), 3, 1, Qt.AlignRight)
        form.addWidget(self.nu_spin, 3, 2)

        # Correctly enable/disable the appropriate boxes
        self._update_type()

    def _update_type(self):
        # Enable/disable SVM type parameters depending on selected SVM type
        if self.svm_type == self.SVM:
            self.c_spin.setEnabled(True)
            self.epsilon_spin.setEnabled(True)
            self.nu_C_spin.setEnabled(False)
            self.nu_spin.setEnabled(False)
        else:
            self.c_spin.setEnabled(False)
            self.epsilon_spin.setEnabled(False)
            self.nu_C_spin.setEnabled(True)
            self.nu_spin.setEnabled(True)
        self.settings_changed()

    def _add_kernel_box(self):
        # this is part of init, pylint: disable=attribute-defined-outside-init
        # Initialize with the widest label to measure max width
        self.kernel_eq = self.kernels[-1][1]

        box = gui.hBox(self.controlArea, "Kernel")

        self.kernel_box = buttonbox = gui.radioButtonsInBox(
            box, self, "kernel_type", btnLabels=[k[0] for k in self.kernels],
            callback=self._on_kernel_changed)
        buttonbox.layout().setSpacing(10)
        gui.rubber(buttonbox)

        parambox = gui.vBox(box)
        gui.label(parambox, self, "Kernel: %(kernel_eq)s")
        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,
                      alignment=Qt.AlignRight, controlWidth=80)
        spbox = gui.hBox(parambox)
        gui.rubber(spbox)
        inbox = gui.vBox(spbox)
        gamma = gui.doubleSpin(
            inbox, self, "gamma", 0.0, 10.0, 0.01, label=" g: ", **common)
        gamma.setSpecialValueText(self._default_gamma)
        coef0 = gui.doubleSpin(
            inbox, self, "coef0", 0.0, 10.0, 0.01, label=" c: ", **common)
        degree = gui.doubleSpin(
            inbox, self, "degree", 0.0, 10.0, 0.5, label=" d: ", **common)
        self._kernel_params = [gamma, coef0, degree]
        gui.rubber(parambox)

        # This is the maximal height (all double spins are visible)
        # and the maximal width (the label is initialized to the widest one)
        box.layout().activate()
        box.setFixedHeight(box.sizeHint().height())
        box.setMinimumWidth(box.sizeHint().width())

    def _add_optimization_box(self):
        # this is part of init, pylint: disable=attribute-defined-outside-init
        self.optimization_box = gui.vBox(
            self.controlArea, "Optimization Parameters")
        self.tol_spin = gui.doubleSpin(
            self.optimization_box, self, "tol", 1e-4, 1.0, 1e-4,
            label="Numerical tolerance: ",
            alignment=Qt.AlignRight, controlWidth=100,
            callback=self.settings_changed)
        self.max_iter_spin = gui.spin(
            self.optimization_box, self, "max_iter", 5, 1000000, 50,
            label="Iteration limit: ", checked="limit_iter",
            alignment=Qt.AlignRight, controlWidth=100,
            callback=self.settings_changed,
            checkCallback=self.settings_changed)

    def _show_right_kernel(self):
        enabled = [[False, False, False],  # linear
                   [True, True, True],  # poly
                   [True, False, False],  # rbf
                   [True, True, False]]  # sigmoid

        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init
        self.kernel_eq = self.kernels[self.kernel_type][1]
        mask = enabled[self.kernel_type]
        for spin, enabled in zip(self._kernel_params, mask):
            [spin.box.hide, spin.box.show][enabled]()

    def update_model(self):
        super().update_model()
        sv = None
        if self.model is not None:
            sv = self.data[self.model.skl_model.support_]
        self.Outputs.support_vectors.send(sv)

    def _on_kernel_changed(self):
        self._show_right_kernel()
        self.settings_changed()

    @OWBaseLearner.Inputs.data
    def set_data(self, data):
        self.Warning.sparse_data.clear()
        super().set_data(data)
        if self.data and sp.issparse(self.data.X):
            self.Warning.sparse_data()

    def create_learner(self):
        kernel = ["linear", "poly", "rbf", "sigmoid"][self.kernel_type]
        common_args = {
            'kernel': kernel,
            'degree': self.degree,
            'gamma': self.gamma or self._default_gamma,
            'coef0': self.coef0,
            'probability': True,
            'tol': self.tol,
            'max_iter': self.max_iter if self.limit_iter else -1,
            'preprocessors': self.preprocessors
        }
        if self.svm_type == self.SVM:
            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)
        else:
            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)

    def get_learner_parameters(self):
        items = OrderedDict()
        if self.svm_type == self.SVM:
            items["SVM type"] = "SVM, C={}, ε={}".format(self.C, self.epsilon)
        else:
            items["SVM type"] = "ν-SVM, ν={}, C={}".format(self.nu, self.nu_C)
        self._report_kernel_parameters(items)
        items["Numerical tolerance"] = "{:.6}".format(self.tol)
        items["Iteration limt"] = self.max_iter if self.limit_iter else "unlimited"
        return items

    def _report_kernel_parameters(self, items):
        gamma = self.gamma or self._default_gamma
        if self.kernel_type == 0:
            items["Kernel"] = "Linear"
        elif self.kernel_type == 1:
            items["Kernel"] = \
                "Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>".format(
                    g=gamma, c=self.coef0, d=self.degree)
        elif self.kernel_type == 2:
            items["Kernel"] = "RBF, exp(-{:.4}|x-y|²)".format(gamma)
        else:
            items["Kernel"] = "Sigmoid, tanh({g:.4} x⋅y + {c:.4})".format(
                g=gamma, c=self.coef0)


if __name__ == "__main__":  # pragma: no cover
    WidgetPreview(OWSVM).run(Table("iris"))

```
--- END FILE ---

Please first localize the bug based on the issue statement, and then generate *SEARCH/REPLACE* edits to fix the issue.

Every *SEARCH/REPLACE* edit must use this format:
1. The file path
2. The start of search block: <<<<<<< SEARCH
3. A contiguous chunk of lines to search for in the existing source code
4. The dividing line: =======
5. The lines to replace into the source code
6. The end of the replace block: >>>>>>> REPLACE

Here is an example:

```python
### mathweb/flask/app.py
<<<<<<< SEARCH
from flask import Flask
=======
import math
from flask import Flask
>>>>>>> REPLACE
```
</solution>

Please note that the *SEARCH/REPLACE* edit REQUIRES PROPER INDENTATION. If you would like to add the line '        print(x)', you must fully write that out, with all those spaces before the code!
Wrap each *SEARCH/REPLACE* edit in a code block as shown in the example above. If you have multiple *SEARCH/REPLACE* edits, use a separate code block for each one.
[ISSUE]
**Title:** SVM Degree Parameter Accepts Floats Instead of Integers

**Description:**
In the OWSVM widget, the `degree` parameter is intended to specify the degree of the polynomial kernel, which should be an integer value. However, the widget currently allows `degree` to be set as a floating-point number. This leads to inconsistencies and potential errors when the SVM algorithm expects an integer degree.

**Example Buggy Code:**
```python
def test_change_degree():
    data = Table("iris")
    widget.send_signal(Input.data, data)
    widget.kernel_box.buttons[1].click()  # Select polynomial kernel
    degree_spin = widget._kernel_params[2]
    degree_spin.stepUp()  # Attempts to set degree to 3.5 instead of 4
    print(widget.degree)  # Outputs: 3.5
```
In this example, incrementing the `degree` spin control results in a floating-point value (`3.5`) instead of the expected integer (`4`), causing the widget to malfunction.

**Expected Behavior:**
The `degree` parameter should strictly accept and handle integer values. Incrementing the degree should transition from one integer to the next (e.g., from `3` to `4`) without introducing decimal values. This ensures compatibility with the SVM algorithm and prevents unexpected behavior or errors.

**Actual Behavior:**
Currently, the `degree` parameter accepts floating-point numbers. When attempting to increment the degree, it results in non-integer values (e.g., `3.5`), leading to assertion failures and potential issues during model training or evaluation.

[/ISSUE]
{
    "TestOWSVMClassification.test_change_degree": "PASSED",
    "TestOWSVMClassification.test_has_unconditional_apply": "PASSED",
    "TestOWSVMClassification.test_image_export": "PASSED",
    "TestOWSVMClassification.test_input_data": "PASSED",
    "TestOWSVMClassification.test_input_data_disconnect": "PASSED",
    "TestOWSVMClassification.test_input_data_learner_adequacy": "PASSED",
    "TestOWSVMClassification.test_input_preprocessor": "PASSED",
    "TestOWSVMClassification.test_input_preprocessor_disconnect": "PASSED",
    "TestOWSVMClassification.test_input_preprocessors": "PASSED",
    "TestOWSVMClassification.test_kernel_equation": "PASSED",
    "TestOWSVMClassification.test_kernel_spins": "PASSED",
    "TestOWSVMClassification.test_migrate_degree": "PASSED",
    "TestOWSVMClassification.test_minimum_size": "PASSED",
    "TestOWSVMClassification.test_msg_base_class": "PASSED",
    "TestOWSVMClassification.test_output_learner": "PASSED",
    "TestOWSVMClassification.test_output_learner_name": "PASSED",
    "TestOWSVMClassification.test_output_model": "PASSED",
    "TestOWSVMClassification.test_output_model_name": "PASSED",
    "TestOWSVMClassification.test_output_model_picklable": "PASSED",
    "TestOWSVMClassification.test_parameters": "PASSED",
    "TestOWSVMClassification.test_parameters_default": "PASSED",
    "TestOWSVMClassification.test_parameters_svm_type": "PASSED",
    "TestOWSVMClassification.test_parameters_unchecked": "PASSED",
    "TestOWSVMClassification.test_params_trigger_settings_changed": "PASSED",
    "TestOWSVMClassification.test_send_report": "PASSED",
    "TestOWSVMClassification.test_sparse_warning": "PASSED"
}
diff --git a/Orange/widgets/model/owsvm.py b/Orange/widgets/model/owsvm.py
index ae492e774..5b55d114c 100644
--- a/Orange/widgets/model/owsvm.py
+++ b/Orange/widgets/model/owsvm.py
@@ -35,6 +35,8 @@ class OWSVM(OWBaseLearner):
     class Warning(OWBaseLearner.Warning):
         sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')
 
+    settings_version = 2
+
     #: Different types of SVMs
     SVM, Nu_SVM = range(2)
     #: SVM type
@@ -156,8 +158,8 @@ class OWSVM(OWBaseLearner):
         gamma.setSpecialValueText(self._default_gamma)
         coef0 = gui.doubleSpin(
             inbox, self, "coef0", 0.0, 10.0, 0.01, label=" c: ", **common)
-        degree = gui.doubleSpin(
-            inbox, self, "degree", 0.0, 10.0, 0.5, label=" d: ", **common)
+        degree = gui.spin(
+            inbox, self, "degree", 0, 10, 1, label=" d: ", **common)
         self._kernel_params = [gamma, coef0, degree]
         gui.rubber(parambox)
 
@@ -255,6 +257,12 @@ class OWSVM(OWBaseLearner):
             items["Kernel"] = "Sigmoid, tanh({g:.4} x⋅y + {c:.4})".format(
                 g=gamma, c=self.coef0)
 
+    @classmethod
+    def migrate_settings(cls, settings, version):
+        if version < 2:
+            if "degree" in settings:
+                settings["degree"] = int(settings["degree"])
+
 
 if __name__ == "__main__":  # pragma: no cover
     WidgetPreview(OWSVM).run(Table("iris"))

{"Orange/widgets/model/owsvm.py": "from collections import OrderedDict\n\nfrom AnyQt.QtCore import Qt\nfrom AnyQt.QtWidgets import QLabel, QGridLayout\nimport scipy.sparse as sp\n\nfrom Orange.data import Table\nfrom Orange.modelling import SVMLearner, NuSVMLearner\nfrom Orange.widgets import gui\nfrom Orange.widgets.widget import Msg\nfrom Orange.widgets.settings import Setting\nfrom Orange.widgets.utils.owlearnerwidget import OWBaseLearner\nfrom Orange.widgets.utils.signals import Output\nfrom Orange.widgets.utils.widgetpreview import WidgetPreview\n\n\nclass OWSVM(OWBaseLearner):\n    name = 'SVM'\n    description = \"Support Vector Machines map inputs to higher-dimensional \" \\\n                  \"feature spaces.\"\n    icon = \"icons/SVM.svg\"\n    replaces = [\n        \"Orange.widgets.classify.owsvmclassification.OWSVMClassification\",\n        \"Orange.widgets.regression.owsvmregression.OWSVMRegression\",\n    ]\n    priority = 50\n    keywords = \"svm, support vector machines\"\n\n    LEARNER = SVMLearner\n\n    class Outputs(OWBaseLearner.Outputs):\n        support_vectors = Output(\"Support Vectors\", Table, explicit=True,\n                                 replaces=[\"Support vectors\"])\n\n    class Warning(OWBaseLearner.Warning):\n        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')\n\n    #: Different types of SVMs\n    SVM, Nu_SVM = range(2)\n    #: SVM type\n    svm_type = Setting(SVM)\n\n    C = Setting(1.)  # pylint: disable=invalid-name\n    epsilon = Setting(.1)\n    nu_C = Setting(1.)\n    nu = Setting(.5)  # pylint: disable=invalid-name\n\n    #: Kernel types\n    Linear, Poly, RBF, Sigmoid = range(4)\n    #: Selected kernel type\n    kernel_type = Setting(RBF)\n    #: kernel degree\n    degree = Setting(3)\n    #: gamma\n    gamma = Setting(0.0)\n    #: coef0 (adative constant)\n    coef0 = Setting(1.0)\n\n    #: numerical tolerance\n    tol = Setting(0.001)\n    #: whether or not to limit number of iterations\n    limit_iter = Setting(True)\n    #: maximum number of iterations\n    max_iter = Setting(100)\n\n    _default_gamma = \"auto\"\n    kernels = ((\"Linear\", \"x\u22c5y\"),\n               (\"Polynomial\", \"(g x\u22c5y + c)<sup>d</sup>\"),\n               (\"RBF\", \"exp(-g|x-y|\u00b2)\"),\n               (\"Sigmoid\", \"tanh(g x\u22c5y + c)\"))\n\n    def add_main_layout(self):\n        self._add_type_box()\n        self._add_kernel_box()\n        self._add_optimization_box()\n        self._show_right_kernel()\n\n    def _add_type_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        form = QGridLayout()\n        self.type_box = box = gui.radioButtonsInBox(\n            self.controlArea, self, \"svm_type\", [], box=\"SVM Type\",\n            orientation=form, callback=self._update_type)\n\n        self.epsilon_radio = gui.appendRadioButton(\n            box, \"SVM\", addToLayout=False)\n        self.c_spin = gui.doubleSpin(\n            box, self, \"C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.epsilon_spin = gui.doubleSpin(\n            box, self, \"epsilon\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Cost (C):\"), 0, 1, Qt.AlignRight)\n        form.addWidget(self.c_spin, 0, 2)\n        form.addWidget(QLabel(\n            \"Regression loss epsilon (\u03b5):\"), 1, 1, Qt.AlignRight)\n        form.addWidget(self.epsilon_spin, 1, 2)\n\n        self.nu_radio = gui.appendRadioButton(box, \"\u03bd-SVM\", addToLayout=False)\n        self.nu_C_spin = gui.doubleSpin(\n            box, self, \"nu_C\", 0.1, 512.0, 0.1, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        self.nu_spin = gui.doubleSpin(\n            box, self, \"nu\", 0.05, 1.0, 0.05, decimals=2,\n            alignment=Qt.AlignRight, addToLayout=False,\n            callback=self.settings_changed)\n        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)\n        form.addWidget(QLabel(\"Regression cost (C):\"), 2, 1, Qt.AlignRight)\n        form.addWidget(self.nu_C_spin, 2, 2)\n        form.addWidget(QLabel(\"Complexity bound (\u03bd):\"), 3, 1, Qt.AlignRight)\n        form.addWidget(self.nu_spin, 3, 2)\n\n        # Correctly enable/disable the appropriate boxes\n        self._update_type()\n\n    def _update_type(self):\n        # Enable/disable SVM type parameters depending on selected SVM type\n        if self.svm_type == self.SVM:\n            self.c_spin.setEnabled(True)\n            self.epsilon_spin.setEnabled(True)\n            self.nu_C_spin.setEnabled(False)\n            self.nu_spin.setEnabled(False)\n        else:\n            self.c_spin.setEnabled(False)\n            self.epsilon_spin.setEnabled(False)\n            self.nu_C_spin.setEnabled(True)\n            self.nu_spin.setEnabled(True)\n        self.settings_changed()\n\n    def _add_kernel_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        # Initialize with the widest label to measure max width\n        self.kernel_eq = self.kernels[-1][1]\n\n        box = gui.hBox(self.controlArea, \"Kernel\")\n\n        self.kernel_box = buttonbox = gui.radioButtonsInBox(\n            box, self, \"kernel_type\", btnLabels=[k[0] for k in self.kernels],\n            callback=self._on_kernel_changed)\n        buttonbox.layout().setSpacing(10)\n        gui.rubber(buttonbox)\n\n        parambox = gui.vBox(box)\n        gui.label(parambox, self, \"Kernel: %(kernel_eq)s\")\n        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,\n                      alignment=Qt.AlignRight, controlWidth=80)\n        spbox = gui.hBox(parambox)\n        gui.rubber(spbox)\n        inbox = gui.vBox(spbox)\n        gamma = gui.doubleSpin(\n            inbox, self, \"gamma\", 0.0, 10.0, 0.01, label=\" g: \", **common)\n        gamma.setSpecialValueText(self._default_gamma)\n        coef0 = gui.doubleSpin(\n            inbox, self, \"coef0\", 0.0, 10.0, 0.01, label=\" c: \", **common)\n        degree = gui.doubleSpin(\n            inbox, self, \"degree\", 0.0, 10.0, 0.5, label=\" d: \", **common)\n        self._kernel_params = [gamma, coef0, degree]\n        gui.rubber(parambox)\n\n        # This is the maximal height (all double spins are visible)\n        # and the maximal width (the label is initialized to the widest one)\n        box.layout().activate()\n        box.setFixedHeight(box.sizeHint().height())\n        box.setMinimumWidth(box.sizeHint().width())\n\n    def _add_optimization_box(self):\n        # this is part of init, pylint: disable=attribute-defined-outside-init\n        self.optimization_box = gui.vBox(\n            self.controlArea, \"Optimization Parameters\")\n        self.tol_spin = gui.doubleSpin(\n            self.optimization_box, self, \"tol\", 1e-4, 1.0, 1e-4,\n            label=\"Numerical tolerance: \",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed)\n        self.max_iter_spin = gui.spin(\n            self.optimization_box, self, \"max_iter\", 5, 1000000, 50,\n            label=\"Iteration limit: \", checked=\"limit_iter\",\n            alignment=Qt.AlignRight, controlWidth=100,\n            callback=self.settings_changed,\n            checkCallback=self.settings_changed)\n\n    def _show_right_kernel(self):\n        enabled = [[False, False, False],  # linear\n                   [True, True, True],  # poly\n                   [True, False, False],  # rbf\n                   [True, True, False]]  # sigmoid\n\n        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init\n        self.kernel_eq = self.kernels[self.kernel_type][1]\n        mask = enabled[self.kernel_type]\n        for spin, enabled in zip(self._kernel_params, mask):\n            [spin.box.hide, spin.box.show][enabled]()\n\n    def update_model(self):\n        super().update_model()\n        sv = None\n        if self.model is not None:\n            sv = self.data[self.model.skl_model.support_]\n        self.Outputs.support_vectors.send(sv)\n\n    def _on_kernel_changed(self):\n        self._show_right_kernel()\n        self.settings_changed()\n\n    @OWBaseLearner.Inputs.data\n    def set_data(self, data):\n        self.Warning.sparse_data.clear()\n        super().set_data(data)\n        if self.data and sp.issparse(self.data.X):\n            self.Warning.sparse_data()\n\n    def create_learner(self):\n        kernel = [\"linear\", \"poly\", \"rbf\", \"sigmoid\"][self.kernel_type]\n        common_args = {\n            'kernel': kernel,\n            'degree': self.degree,\n            'gamma': self.gamma or self._default_gamma,\n            'coef0': self.coef0,\n            'probability': True,\n            'tol': self.tol,\n            'max_iter': self.max_iter if self.limit_iter else -1,\n            'preprocessors': self.preprocessors\n        }\n        if self.svm_type == self.SVM:\n            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)\n        else:\n            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)\n\n    def get_learner_parameters(self):\n        items = OrderedDict()\n        if self.svm_type == self.SVM:\n            items[\"SVM type\"] = \"SVM, C={}, \u03b5={}\".format(self.C, self.epsilon)\n        else:\n            items[\"SVM type\"] = \"\u03bd-SVM, \u03bd={}, C={}\".format(self.nu, self.nu_C)\n        self._report_kernel_parameters(items)\n        items[\"Numerical tolerance\"] = \"{:.6}\".format(self.tol)\n        items[\"Iteration limt\"] = self.max_iter if self.limit_iter else \"unlimited\"\n        return items\n\n    def _report_kernel_parameters(self, items):\n        gamma = self.gamma or self._default_gamma\n        if self.kernel_type == 0:\n            items[\"Kernel\"] = \"Linear\"\n        elif self.kernel_type == 1:\n            items[\"Kernel\"] = \\\n                \"Polynomial, ({g:.4} x\u22c5y + {c:.4})<sup>{d}</sup>\".format(\n                    g=gamma, c=self.coef0, d=self.degree)\n        elif self.kernel_type == 2:\n            items[\"Kernel\"] = \"RBF, exp(-{:.4}|x-y|\u00b2)\".format(gamma)\n        else:\n            items[\"Kernel\"] = \"Sigmoid, tanh({g:.4} x\u22c5y + {c:.4})\".format(\n                g=gamma, c=self.coef0)\n\n\nif __name__ == \"__main__\":  # pragma: no cover\n    WidgetPreview(OWSVM).run(Table(\"iris\"))\n"}
A user will ask you to solve a task. You should first draft your thinking process (inner monologue). Then, generate the solution.

Your response format must follow the template below:
<think>
Your thoughts or/and draft, like working through an exercise on scratch paper. Be as casual and as long as you want until you are confident to generate a correct solution.
</think>
<solution>
Final solution presented to the user.
</solution>
system
We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
[ISSUE]
**Title:** SVM Degree Parameter Accepts Floats Instead of Integers

**Description:**
In the OWSVM widget, the `degree` parameter is intended to specify the degree of the polynomial kernel, which should be an integer value. However, the widget currently allows `degree` to be set as a floating-point number. This leads to inconsistencies and potential errors when the SVM algorithm expects an integer degree.

**Example Buggy Code:**
```python
def test_change_degree():
    data = Table("iris")
    widget.send_signal(Input.data, data)
    widget.kernel_box.buttons[1].click()  # Select polynomial kernel
    degree_spin = widget._kernel_params[2]
    degree_spin.stepUp()  # Attempts to set degree to 3.5 instead of 4
    print(widget.degree)  # Outputs: 3.5
```
In this example, incrementing the `degree` spin control results in a floating-point value (`3.5`) instead of the expected integer (`4`), causing the widget to malfunction.

**Expected Behavior:**
The `degree` parameter should strictly accept and handle integer values. Incrementing the degree should transition from one integer to the next (e.g., from `3` to `4`) without introducing decimal values. This ensures compatibility with the SVM algorithm and prevents unexpected behavior or errors.

**Actual Behavior:**
Currently, the `degree` parameter accepts floating-point numbers. When attempting to increment the degree, it results in non-integer values (e.g., `3.5`), leading to assertion failures and potential issues during model training or evaluation.

[/ISSUE]
--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.

--- BEGIN FILE ---
```
### Orange/widgets/model/owsvm.py
from collections import OrderedDict

from AnyQt.QtCore import Qt
from AnyQt.QtWidgets import QLabel, QGridLayout
import scipy.sparse as sp

from Orange.data import Table
from Orange.modelling import SVMLearner, NuSVMLearner
from Orange.widgets import gui
from Orange.widgets.widget import Msg
from Orange.widgets.settings import Setting
from Orange.widgets.utils.owlearnerwidget import OWBaseLearner
from Orange.widgets.utils.signals import Output
from Orange.widgets.utils.widgetpreview import WidgetPreview


class OWSVM(OWBaseLearner):
    name = 'SVM'
    description = "Support Vector Machines map inputs to higher-dimensional " \
                  "feature spaces."
    icon = "icons/SVM.svg"
    replaces = [
        "Orange.widgets.classify.owsvmclassification.OWSVMClassification",
        "Orange.widgets.regression.owsvmregression.OWSVMRegression",
    ]
    priority = 50
    keywords = "svm, support vector machines"

    LEARNER = SVMLearner

    class Outputs(OWBaseLearner.Outputs):
        support_vectors = Output("Support Vectors", Table, explicit=True,
                                 replaces=["Support vectors"])

    class Warning(OWBaseLearner.Warning):
        sparse_data = Msg('Input data is sparse, default preprocessing is to scale it.')

    #: Different types of SVMs
    SVM, Nu_SVM = range(2)
    #: SVM type
    svm_type = Setting(SVM)

    C = Setting(1.)  # pylint: disable=invalid-name
    epsilon = Setting(.1)
    nu_C = Setting(1.)
    nu = Setting(.5)  # pylint: disable=invalid-name

    #: Kernel types
    Linear, Poly, RBF, Sigmoid = range(4)
    #: Selected kernel type
    kernel_type = Setting(RBF)
    #: kernel degree
    degree = Setting(3)
    #: gamma
    gamma = Setting(0.0)
    #: coef0 (adative constant)
    coef0 = Setting(1.0)

    #: numerical tolerance
    tol = Setting(0.001)
    #: whether or not to limit number of iterations
    limit_iter = Setting(True)
    #: maximum number of iterations
    max_iter = Setting(100)

    _default_gamma = "auto"
    kernels = (("Linear", "x⋅y"),
               ("Polynomial", "(g x⋅y + c)<sup>d</sup>"),
               ("RBF", "exp(-g|x-y|²)"),
               ("Sigmoid", "tanh(g x⋅y + c)"))

    def add_main_layout(self):
        self._add_type_box()
        self._add_kernel_box()
        self._add_optimization_box()
        self._show_right_kernel()

    def _add_type_box(self):
        # this is part of init, pylint: disable=attribute-defined-outside-init
        form = QGridLayout()
        self.type_box = box = gui.radioButtonsInBox(
            self.controlArea, self, "svm_type", [], box="SVM Type",
            orientation=form, callback=self._update_type)

        self.epsilon_radio = gui.appendRadioButton(
            box, "SVM", addToLayout=False)
        self.c_spin = gui.doubleSpin(
            box, self, "C", 0.1, 512.0, 0.1, decimals=2,
            alignment=Qt.AlignRight, addToLayout=False,
            callback=self.settings_changed)
        self.epsilon_spin = gui.doubleSpin(
            box, self, "epsilon", 0.1, 512.0, 0.1, decimals=2,
            alignment=Qt.AlignRight, addToLayout=False,
            callback=self.settings_changed)
        form.addWidget(self.epsilon_radio, 0, 0, Qt.AlignLeft)
        form.addWidget(QLabel("Cost (C):"), 0, 1, Qt.AlignRight)
        form.addWidget(self.c_spin, 0, 2)
        form.addWidget(QLabel(
            "Regression loss epsilon (ε):"), 1, 1, Qt.AlignRight)
        form.addWidget(self.epsilon_spin, 1, 2)

        self.nu_radio = gui.appendRadioButton(box, "ν-SVM", addToLayout=False)
        self.nu_C_spin = gui.doubleSpin(
            box, self, "nu_C", 0.1, 512.0, 0.1, decimals=2,
            alignment=Qt.AlignRight, addToLayout=False,
            callback=self.settings_changed)
        self.nu_spin = gui.doubleSpin(
            box, self, "nu", 0.05, 1.0, 0.05, decimals=2,
            alignment=Qt.AlignRight, addToLayout=False,
            callback=self.settings_changed)
        form.addWidget(self.nu_radio, 2, 0, Qt.AlignLeft)
        form.addWidget(QLabel("Regression cost (C):"), 2, 1, Qt.AlignRight)
        form.addWidget(self.nu_C_spin, 2, 2)
        form.addWidget(QLabel("Complexity bound (ν):"), 3, 1, Qt.AlignRight)
        form.addWidget(self.nu_spin, 3, 2)

        # Correctly enable/disable the appropriate boxes
        self._update_type()

    def _update_type(self):
        # Enable/disable SVM type parameters depending on selected SVM type
        if self.svm_type == self.SVM:
            self.c_spin.setEnabled(True)
            self.epsilon_spin.setEnabled(True)
            self.nu_C_spin.setEnabled(False)
            self.nu_spin.setEnabled(False)
        else:
            self.c_spin.setEnabled(False)
            self.epsilon_spin.setEnabled(False)
            self.nu_C_spin.setEnabled(True)
            self.nu_spin.setEnabled(True)
        self.settings_changed()

    def _add_kernel_box(self):
        # this is part of init, pylint: disable=attribute-defined-outside-init
        # Initialize with the widest label to measure max width
        self.kernel_eq = self.kernels[-1][1]

        box = gui.hBox(self.controlArea, "Kernel")

        self.kernel_box = buttonbox = gui.radioButtonsInBox(
            box, self, "kernel_type", btnLabels=[k[0] for k in self.kernels],
            callback=self._on_kernel_changed)
        buttonbox.layout().setSpacing(10)
        gui.rubber(buttonbox)

        parambox = gui.vBox(box)
        gui.label(parambox, self, "Kernel: %(kernel_eq)s")
        common = dict(orientation=Qt.Horizontal, callback=self.settings_changed,
                      alignment=Qt.AlignRight, controlWidth=80)
        spbox = gui.hBox(parambox)
        gui.rubber(spbox)
        inbox = gui.vBox(spbox)
        gamma = gui.doubleSpin(
            inbox, self, "gamma", 0.0, 10.0, 0.01, label=" g: ", **common)
        gamma.setSpecialValueText(self._default_gamma)
        coef0 = gui.doubleSpin(
            inbox, self, "coef0", 0.0, 10.0, 0.01, label=" c: ", **common)
        degree = gui.doubleSpin(
            inbox, self, "degree", 0.0, 10.0, 0.5, label=" d: ", **common)
        self._kernel_params = [gamma, coef0, degree]
        gui.rubber(parambox)

        # This is the maximal height (all double spins are visible)
        # and the maximal width (the label is initialized to the widest one)
        box.layout().activate()
        box.setFixedHeight(box.sizeHint().height())
        box.setMinimumWidth(box.sizeHint().width())

    def _add_optimization_box(self):
        # this is part of init, pylint: disable=attribute-defined-outside-init
        self.optimization_box = gui.vBox(
            self.controlArea, "Optimization Parameters")
        self.tol_spin = gui.doubleSpin(
            self.optimization_box, self, "tol", 1e-4, 1.0, 1e-4,
            label="Numerical tolerance: ",
            alignment=Qt.AlignRight, controlWidth=100,
            callback=self.settings_changed)
        self.max_iter_spin = gui.spin(
            self.optimization_box, self, "max_iter", 5, 1000000, 50,
            label="Iteration limit: ", checked="limit_iter",
            alignment=Qt.AlignRight, controlWidth=100,
            callback=self.settings_changed,
            checkCallback=self.settings_changed)

    def _show_right_kernel(self):
        enabled = [[False, False, False],  # linear
                   [True, True, True],  # poly
                   [True, False, False],  # rbf
                   [True, True, False]]  # sigmoid

        # set in _add_kernel_box, pylint: disable=attribute-defined-outside-init
        self.kernel_eq = self.kernels[self.kernel_type][1]
        mask = enabled[self.kernel_type]
        for spin, enabled in zip(self._kernel_params, mask):
            [spin.box.hide, spin.box.show][enabled]()

    def update_model(self):
        super().update_model()
        sv = None
        if self.model is not None:
            sv = self.data[self.model.skl_model.support_]
        self.Outputs.support_vectors.send(sv)

    def _on_kernel_changed(self):
        self._show_right_kernel()
        self.settings_changed()

    @OWBaseLearner.Inputs.data
    def set_data(self, data):
        self.Warning.sparse_data.clear()
        super().set_data(data)
        if self.data and sp.issparse(self.data.X):
            self.Warning.sparse_data()

    def create_learner(self):
        kernel = ["linear", "poly", "rbf", "sigmoid"][self.kernel_type]
        common_args = {
            'kernel': kernel,
            'degree': self.degree,
            'gamma': self.gamma or self._default_gamma,
            'coef0': self.coef0,
            'probability': True,
            'tol': self.tol,
            'max_iter': self.max_iter if self.limit_iter else -1,
            'preprocessors': self.preprocessors
        }
        if self.svm_type == self.SVM:
            return SVMLearner(C=self.C, epsilon=self.epsilon, **common_args)
        else:
            return NuSVMLearner(nu=self.nu, C=self.nu_C, **common_args)

    def get_learner_parameters(self):
        items = OrderedDict()
        if self.svm_type == self.SVM:
            items["SVM type"] = "SVM, C={}, ε={}".format(self.C, self.epsilon)
        else:
            items["SVM type"] = "ν-SVM, ν={}, C={}".format(self.nu, self.nu_C)
        self._report_kernel_parameters(items)
        items["Numerical tolerance"] = "{:.6}".format(self.tol)
        items["Iteration limt"] = self.max_iter if self.limit_iter else "unlimited"
        return items

    def _report_kernel_parameters(self, items):
        gamma = self.gamma or self._default_gamma
        if self.kernel_type == 0:
            items["Kernel"] = "Linear"
        elif self.kernel_type == 1:
            items["Kernel"] = \
                "Polynomial, ({g:.4} x⋅y + {c:.4})<sup>{d}</sup>".format(
                    g=gamma, c=self.coef0, d=self.degree)
        elif self.kernel_type == 2:
            items["Kernel"] = "RBF, exp(-{:.4}|x-y|²)".format(gamma)
        else:
            items["Kernel"] = "Sigmoid, tanh({g:.4} x⋅y + {c:.4})".format(
                g=gamma, c=self.coef0)


if __name__ == "__main__":  # pragma: no cover
    WidgetPreview(OWSVM).run(Table("iris"))

```
--- END FILE ---

Please first localize the bug based on the issue statement, and then generate *SEARCH/REPLACE* edits to fix the issue.

Every *SEARCH/REPLACE* edit must use this format:
1. The file path
2. The start of search block: <<<<<<< SEARCH
3. A contiguous chunk of lines to search for in the existing source code
4. The dividing line: =======
5. The lines to replace into the source code
6. The end of the replace block: >>>>>>> REPLACE

Here is an example:

```python
### mathweb/flask/app.py
<<<<<<< SEARCH
from flask import Flask
=======
import math
from flask import Flask
>>>>>>> REPLACE
```
</solution>

Please note that the *SEARCH/REPLACE* edit REQUIRES PROPER INDENTATION. If you would like to add the line '        print(x)', you must fully write that out, with all those spaces before the code!
Wrap each *SEARCH/REPLACE* edit in a code block as shown in the example above. If you have multiple *SEARCH/REPLACE* edits, use a separate code block for each one.
user