{
    "file_diffs": [
        {
            "old_file_content": "import random\n\nfrom AnyQt.QtCore import Qt\nfrom AnyQt.QtWidgets import QSizePolicy\n\nfrom Orange.data import Table\nfrom Orange.preprocess import Randomize\nfrom Orange.widgets.settings import Setting\nfrom Orange.widgets.utils.widgetpreview import WidgetPreview\nfrom Orange.widgets.widget import OWWidget, Input, Output\nfrom Orange.widgets import gui\n\n\nclass OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])\n\n\nif __name__ == \"__main__\":  # pragma: no cover\n    WidgetPreview(OWRandomize).run(Table(\"iris\"))\n",
            "new_file_content": "import random\n\nfrom AnyQt.QtCore import Qt\nfrom AnyQt.QtWidgets import QSizePolicy\n\nfrom Orange.data import Table\nfrom Orange.preprocess import Randomize\nfrom Orange.widgets.settings import Setting\nfrom Orange.widgets.utils.widgetpreview import WidgetPreview\nfrom Orange.widgets.utils.state_summary import format_summary_details\nfrom Orange.widgets.widget import OWWidget, Input, Output\nfrom Orange.widgets import gui\n\n\nclass OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoOutput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        summary = len(data) if data else self.info.NoInput\n        details = format_summary_details(data) if data else \"\"\n        self.info.set_input_summary(summary, details)\n        self.unconditional_apply()\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        summary = len(data) if data else self.info.NoOutput\n        details = format_summary_details(data) if data else \"\"\n        self.info.set_output_summary(summary, details)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])\n\n\nif __name__ == \"__main__\":  # pragma: no cover\n    WidgetPreview(OWRandomize).run(Table(\"iris\"))\n",
            "header": {
                "file": {
                    "path": "Orange/widgets/data/owrandomize.py"
                },
                "misc_line": null
            },
            "index_line": {
                "old_commit_hash": "c88c25337",
                "new_commit_hash": "018e0fd63",
                "mode": "100644"
            },
            "is_binary_file": false,
            "binary_line": null,
            "minus_file": {
                "path": "a/Orange/widgets/data/owrandomize.py"
            },
            "plus_file": {
                "path": "b/Orange/widgets/data/owrandomize.py"
            },
            "hunks": [
                {
                    "descriptor": {
                        "old_range": {
                            "start": 7,
                            "length": 6
                        },
                        "new_range": {
                            "start": 7,
                            "length": 7
                        },
                        "section": "from Orange.data import Table"
                    },
                    "line_group": {
                        "all_lines": [
                            {
                                "content": "from Orange.preprocess import Randomize",
                                "type": "context"
                            },
                            {
                                "content": "from Orange.widgets.settings import Setting",
                                "type": "context"
                            },
                            {
                                "content": "from Orange.widgets.utils.widgetpreview import WidgetPreview",
                                "type": "context"
                            },
                            {
                                "content": "from Orange.widgets.utils.state_summary import format_summary_details",
                                "type": "added"
                            },
                            {
                                "content": "from Orange.widgets.widget import OWWidget, Input, Output",
                                "type": "context"
                            },
                            {
                                "content": "from Orange.widgets import gui",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            }
                        ]
                    },
                    "modified_entities": [],
                    "added_entities": [
                        {
                            "file_name": "Orange/widgets/data/owrandomize.py",
                            "type": "statement",
                            "name": "",
                            "content": "from Orange.widgets.utils.state_summary import format_summary_details",
                            "ast_type_str": "ImportFrom",
                            "start_lineno": 10,
                            "end_lineno": 10,
                            "parent": null
                        }
                    ],
                    "deleted_entities": []
                },
                {
                    "descriptor": {
                        "old_range": {
                            "start": 68,
                            "length": 7
                        },
                        "new_range": {
                            "start": 69,
                            "length": 7
                        },
                        "section": "class OWRandomize(OWWidget):"
                    },
                    "line_group": {
                        "all_lines": [
                            {
                                "content": "            callback=self._shuffle_check_changed)",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "        self.info.set_input_summary(self.info.NoInput)",
                                "type": "context"
                            },
                            {
                                "content": "        self.info.set_output_summary(self.info.NoInput)",
                                "type": "deleted"
                            },
                            {
                                "content": "        self.info.set_output_summary(self.info.NoOutput)",
                                "type": "added"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            }
                        ]
                    },
                    "modified_entities": [
                        {
                            "file_name": "Orange/widgets/data/owrandomize.py",
                            "type": "class",
                            "name": "OWRandomize",
                            "content": "class OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 14,
                            "end_lineno": 121,
                            "parent": null
                        },
                        {
                            "file_name": "Orange/widgets/data/owrandomize.py",
                            "type": "method",
                            "name": "OWRandomize.__init__",
                            "content": "class OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 37,
                            "end_lineno": 73,
                            "parent": {
                                "file_name": "Orange/widgets/data/owrandomize.py",
                                "type": "class",
                                "name": "OWRandomize",
                                "content": "class OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])",
                                "ast_type_str": "ClassDef",
                                "start_lineno": 14,
                                "end_lineno": 121,
                                "parent": null
                            }
                        }
                    ],
                    "added_entities": [],
                    "deleted_entities": []
                },
                {
                    "descriptor": {
                        "old_range": {
                            "start": 89,
                            "length": 9
                        },
                        "new_range": {
                            "start": 90,
                            "length": 10
                        },
                        "section": "class OWRandomize(OWWidget):"
                    },
                    "line_group": {
                        "all_lines": [
                            {
                                "content": "    @Inputs.data",
                                "type": "context"
                            },
                            {
                                "content": "    def set_data(self, data):",
                                "type": "context"
                            },
                            {
                                "content": "        self.data = data",
                                "type": "context"
                            },
                            {
                                "content": "        summary = len(data) if data else self.info.NoInput",
                                "type": "added"
                            },
                            {
                                "content": "        details = format_summary_details(data) if data else \"\"",
                                "type": "added"
                            },
                            {
                                "content": "        self.info.set_input_summary(summary, details)",
                                "type": "added"
                            },
                            {
                                "content": "        self.unconditional_apply()",
                                "type": "context"
                            },
                            {
                                "content": "        text = str(len(data)) if data else self.info.NoInput",
                                "type": "deleted"
                            },
                            {
                                "content": "        self.info.set_input_summary(text)",
                                "type": "deleted"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "    def apply(self):",
                                "type": "context"
                            },
                            {
                                "content": "        data = None",
                                "type": "context"
                            }
                        ]
                    },
                    "modified_entities": [
                        {
                            "file_name": "Orange/widgets/data/owrandomize.py",
                            "type": "method",
                            "name": "OWRandomize.set_data",
                            "content": "class OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 90,
                            "end_lineno": 94,
                            "parent": {
                                "file_name": "Orange/widgets/data/owrandomize.py",
                                "type": "class",
                                "name": "OWRandomize",
                                "content": "class OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])",
                                "ast_type_str": "ClassDef",
                                "start_lineno": 14,
                                "end_lineno": 121,
                                "parent": null
                            }
                        },
                        {
                            "file_name": "Orange/widgets/data/owrandomize.py",
                            "type": "class",
                            "name": "OWRandomize",
                            "content": "class OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 14,
                            "end_lineno": 121,
                            "parent": null
                        }
                    ],
                    "added_entities": [],
                    "deleted_entities": []
                },
                {
                    "descriptor": {
                        "old_range": {
                            "start": 105,
                            "length": 8
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                        "new_range": {
                            "start": 107,
                            "length": 9
                        },
                        "section": "class OWRandomize(OWWidget):"
                    },
                    "line_group": {
                        "all_lines": [
                            {
                                "content": "            data = self.data.copy()",
                                "type": "context"
                            },
                            {
                                "content": "            for i, instance in zip(indices, randomized):",
                                "type": "context"
                            },
                            {
                                "content": "                data[i] = instance",
                                "type": "context"
                            },
                            {
                                "content": "        text = str(len(data)) if data else self.info.NoInput",
                                "type": "deleted"
                            },
                            {
                                "content": "        self.info.set_output_summary(text)",
                                "type": "deleted"
                            },
                            {
                                "content": "        summary = len(data) if data else self.info.NoOutput",
                                "type": "added"
                            },
                            {
                                "content": "        details = format_summary_details(data) if data else \"\"",
                                "type": "added"
                            },
                            {
                                "content": "        self.info.set_output_summary(summary, details)",
                                "type": "added"
                            },
                            {
                                "content": "        self.Outputs.data.send(data)",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "    def send_report(self):",
                                "type": "context"
                            }
                        ]
                    },
                    "modified_entities": [
                        {
                            "file_name": "Orange/widgets/data/owrandomize.py",
                            "type": "method",
                            "name": "OWRandomize.apply",
                            "content": "class OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 96,
                            "end_lineno": 110,
                            "parent": {
                                "file_name": "Orange/widgets/data/owrandomize.py",
                                "type": "class",
                                "name": "OWRandomize",
                                "content": "class OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])",
                                "ast_type_str": "ClassDef",
                                "start_lineno": 14,
                                "end_lineno": 121,
                                "parent": null
                            }
                        },
                        {
                            "file_name": "Orange/widgets/data/owrandomize.py",
                            "type": "class",
                            "name": "OWRandomize",
                            "content": "class OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 14,
                            "end_lineno": 121,
                            "parent": null
                        }
                    ],
                    "added_entities": [],
                    "deleted_entities": []
                }
            ]
        },
        {
            "old_file_content": "# Test methods with long descriptive names can omit docstrings\n# pylint: disable=missing-docstring,unsubscriptable-object\nfrom unittest.mock import patch, Mock\n\nimport numpy as np\n\nfrom Orange.data import Table\nfrom Orange.widgets.data.owrandomize import OWRandomize\nfrom Orange.widgets.tests.base import WidgetTest\n\n\nclass TestOWRandomize(WidgetTest):\n    @classmethod\n    def setUpClass(cls):\n        super().setUpClass()\n        cls.zoo = Table(\"zoo\")\n\n    def setUp(self):\n        self.widget = self.create_widget(OWRandomize)\n\n    def test_data(self):\n        \"\"\"Check widget's data and output with data on the input\"\"\"\n        self.assertEqual(self.widget.data, None)\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.assertEqual(self.widget.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.send_signal(self.widget.Inputs.data, None)\n        self.assertEqual(self.widget.data, None)\n        self.assertIsNone(self.get_output(self.widget.Outputs.data))\n\n    def test_shuffling(self):\n        \"\"\"Check widget's output for all types of shuffling\"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.class_check.setChecked(True)\n        self.widget.attrs_check.setChecked(True)\n        self.widget.metas_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        self.assertTrue((output.X != self.zoo.X).any())\n        self.assertTrue((np.sort(output.X, axis=0) ==\n                         np.sort(self.zoo.X, axis=0)).all())\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.assertTrue((output.metas != self.zoo.metas).any())\n        self.assertTrue((np.sort(output.metas, axis=0) ==\n                         np.sort(self.zoo.metas, axis=0)).all())\n\n    def test_scope(self):\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        n_zoo = len(self.zoo)\n        s = int(self.widget.scope_prop / 100 * n_zoo)\n        self.assertGreater(sum((output.Y == self.zoo.Y).astype(int)), n_zoo - s)\n        self.assertLessEqual(sum((output.Y != self.zoo.Y).astype(int)), s)\n\n    def test_replicable_shuffling(self):\n        \"\"\"Check widget's output for replicable shuffling \"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.replicable_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.widget.apply()\n        output2 = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, output2.X)\n        np.testing.assert_array_equal(output.Y, output2.Y)\n        np.testing.assert_array_equal(output.metas, output2.metas)\n\n    def test_summary(self):\n        \"\"\"\"Check if status bar displays correct input/output summary\"\"\"\n        output_sum = self.widget.info.set_output_summary = Mock()\n        input_sum = self.widget.info.set_input_summary = Mock()\n\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        input_sum.assert_called_with(str(len(self.zoo)))\n        output = self.get_output(self.widget.Outputs.data)\n        output_sum.assert_called_with(str(len(output)))\n        input_sum.reset_mock()\n        output_sum.reset_mock()\n\n        self.send_signal(self.widget.Inputs.data, None)\n        input_sum.assert_called_once()\n        self.assertEqual(input_sum.call_args[0][0].brief, \"\")\n        output_sum.assert_called_once()\n        self.assertEqual(output_sum.call_args[0][0].brief, \"\")\n\n    def test_unconditional_commit_on_new_signal(self):\n        with patch.object(self.widget, 'unconditional_apply') as apply:\n            self.widget.auto_apply = False\n            apply.reset_mock()\n            self.send_signal(self.widget.Inputs.data, self.zoo)\n            apply.assert_called()\n",
            "new_file_content": "# Test methods with long descriptive names can omit docstrings\n# pylint: disable=missing-docstring,unsubscriptable-object\nfrom unittest.mock import patch, Mock\n\nimport numpy as np\n\nfrom Orange.data import Table\nfrom Orange.widgets.data.owrandomize import OWRandomize\nfrom Orange.widgets.tests.base import WidgetTest\nfrom Orange.widgets.utils.state_summary import format_summary_details\n\n\nclass TestOWRandomize(WidgetTest):\n    @classmethod\n    def setUpClass(cls):\n        super().setUpClass()\n        cls.zoo = Table(\"zoo\")\n\n    def setUp(self):\n        self.widget = self.create_widget(OWRandomize)\n\n    def test_data(self):\n        \"\"\"Check widget's data and output with data on the input\"\"\"\n        self.assertEqual(self.widget.data, None)\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.assertEqual(self.widget.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.send_signal(self.widget.Inputs.data, None)\n        self.assertEqual(self.widget.data, None)\n        self.assertIsNone(self.get_output(self.widget.Outputs.data))\n\n    def test_shuffling(self):\n        \"\"\"Check widget's output for all types of shuffling\"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.class_check.setChecked(True)\n        self.widget.attrs_check.setChecked(True)\n        self.widget.metas_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        self.assertTrue((output.X != self.zoo.X).any())\n        self.assertTrue((np.sort(output.X, axis=0) ==\n                         np.sort(self.zoo.X, axis=0)).all())\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.assertTrue((output.metas != self.zoo.metas).any())\n        self.assertTrue((np.sort(output.metas, axis=0) ==\n                         np.sort(self.zoo.metas, axis=0)).all())\n\n    def test_scope(self):\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        n_zoo = len(self.zoo)\n        s = int(self.widget.scope_prop / 100 * n_zoo)\n        self.assertGreater(sum((output.Y == self.zoo.Y).astype(int)), n_zoo - s)\n        self.assertLessEqual(sum((output.Y != self.zoo.Y).astype(int)), s)\n\n    def test_replicable_shuffling(self):\n        \"\"\"Check widget's output for replicable shuffling \"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.replicable_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.widget.apply()\n        output2 = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, output2.X)\n        np.testing.assert_array_equal(output.Y, output2.Y)\n        np.testing.assert_array_equal(output.metas, output2.metas)\n\n    def test_summary(self):\n        \"\"\"\"Check if status bar displays correct input/output summary\"\"\"\n        output_sum = self.widget.info.set_output_summary = Mock()\n        input_sum = self.widget.info.set_input_summary = Mock()\n\n        data = self.zoo\n        self.send_signal(self.widget.Inputs.data, data)\n        input_sum.assert_called_with(len(data),\n                                     format_summary_details(data))\n        output = self.get_output(self.widget.Outputs.data)\n        output_sum.assert_called_with(len(output),\n                                      format_summary_details(output))\n        input_sum.reset_mock()\n        output_sum.reset_mock()\n        self.send_signal(self.widget.Inputs.data, None)\n        input_sum.assert_called_once()\n        self.assertEqual(input_sum.call_args[0][0].brief, \"\")\n        output_sum.assert_called_once()\n        self.assertEqual(output_sum.call_args[0][0].brief, \"\")\n\n    def test_unconditional_commit_on_new_signal(self):\n        with patch.object(self.widget, 'unconditional_apply') as apply:\n            self.widget.auto_apply = False\n            apply.reset_mock()\n            self.send_signal(self.widget.Inputs.data, self.zoo)\n            apply.assert_called()\n",
            "header": {
                "file": {
                    "path": "Orange/widgets/data/tests/test_owrandomize.py"
                },
                "misc_line": null
            },
            "index_line": {
                "old_commit_hash": "173677402",
                "new_commit_hash": "153fe3d2b",
                "mode": "100644"
            },
            "is_binary_file": false,
            "binary_line": null,
            "minus_file": {
                "path": "a/Orange/widgets/data/tests/test_owrandomize.py"
            },
            "plus_file": {
                "path": "b/Orange/widgets/data/tests/test_owrandomize.py"
            },
            "hunks": [
                {
                    "descriptor": {
                        "old_range": {
                            "start": 7,
                            "length": 6
                        },
                        "new_range": {
                            "start": 7,
                            "length": 7
                        },
                        "section": "import numpy as np"
                    },
                    "line_group": {
                        "all_lines": [
                            {
                                "content": "from Orange.data import Table",
                                "type": "context"
                            },
                            {
                                "content": "from Orange.widgets.data.owrandomize import OWRandomize",
                                "type": "context"
                            },
                            {
                                "content": "from Orange.widgets.tests.base import WidgetTest",
                                "type": "context"
                            },
                            {
                                "content": "from Orange.widgets.utils.state_summary import format_summary_details",
                                "type": "added"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "class TestOWRandomize(WidgetTest):",
                                "type": "context"
                            }
                        ]
                    },
                    "modified_entities": [],
                    "added_entities": [
                        {
                            "file_name": "Orange/widgets/data/tests/test_owrandomize.py",
                            "type": "statement",
                            "name": "",
                            "content": "from Orange.widgets.utils.state_summary import format_summary_details",
                            "ast_type_str": "ImportFrom",
                            "start_lineno": 10,
                            "end_lineno": 10,
                            "parent": null
                        }
                    ],
                    "deleted_entities": []
                },
                {
                    "descriptor": {
                        "old_range": {
                            "start": 79,
                            "length": 13
                        },
                        "new_range": {
                            "start": 80,
                            "length": 15
                        },
                        "section": "class TestOWRandomize(WidgetTest):"
                    },
                    "line_group": {
                        "all_lines": [
                            {
                                "content": "        output_sum = self.widget.info.set_output_summary = Mock()",
                                "type": "context"
                            },
                            {
                                "content": "        input_sum = self.widget.info.set_input_summary = Mock()",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "        self.send_signal(self.widget.Inputs.data, self.zoo)",
                                "type": "deleted"
                            },
                            {
                                "content": "        input_sum.assert_called_with(str(len(self.zoo)))",
                                "type": "deleted"
                            },
                            {
                                "content": "        data = self.zoo",
                                "type": "added"
                            },
                            {
                                "content": "        self.send_signal(self.widget.Inputs.data, data)",
                                "type": "added"
                            },
                            {
                                "content": "        input_sum.assert_called_with(len(data),",
                                "type": "added"
                            },
                            {
                                "content": "                                     format_summary_details(data))",
                                "type": "added"
                            },
                            {
                                "content": "        output = self.get_output(self.widget.Outputs.data)",
                                "type": "context"
                            },
                            {
                                "content": "        output_sum.assert_called_with(str(len(output)))",
                                "type": "deleted"
                            },
                            {
                                "content": "        output_sum.assert_called_with(len(output),",
                                "type": "added"
                            },
                            {
                                "content": "                                      format_summary_details(output))",
                                "type": "added"
                            },
                            {
                                "content": "        input_sum.reset_mock()",
                                "type": "context"
                            },
                            {
                                "content": "        output_sum.reset_mock()",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "deleted"
                            },
                            {
                                "content": "        self.send_signal(self.widget.Inputs.data, None)",
                                "type": "context"
                            },
                            {
                                "content": "        input_sum.assert_called_once()",
                                "type": "context"
                            },
                            {
                                "content": "        self.assertEqual(input_sum.call_args[0][0].brief, \"\")",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            }
                        ]
                    },
                    "modified_entities": [
                        {
                            "file_name": "Orange/widgets/data/tests/test_owrandomize.py",
                            "type": "method",
                            "name": "TestOWRandomize.test_summary",
                            "content": "class TestOWRandomize(WidgetTest):\n    @classmethod\n    def setUpClass(cls):\n        super().setUpClass()\n        cls.zoo = Table(\"zoo\")\n\n    def setUp(self):\n        self.widget = self.create_widget(OWRandomize)\n\n    def test_data(self):\n        \"\"\"Check widget's data and output with data on the input\"\"\"\n        self.assertEqual(self.widget.data, None)\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.assertEqual(self.widget.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.send_signal(self.widget.Inputs.data, None)\n        self.assertEqual(self.widget.data, None)\n        self.assertIsNone(self.get_output(self.widget.Outputs.data))\n\n    def test_shuffling(self):\n        \"\"\"Check widget's output for all types of shuffling\"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.class_check.setChecked(True)\n        self.widget.attrs_check.setChecked(True)\n        self.widget.metas_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        self.assertTrue((output.X != self.zoo.X).any())\n        self.assertTrue((np.sort(output.X, axis=0) ==\n                         np.sort(self.zoo.X, axis=0)).all())\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.assertTrue((output.metas != self.zoo.metas).any())\n        self.assertTrue((np.sort(output.metas, axis=0) ==\n                         np.sort(self.zoo.metas, axis=0)).all())\n\n    def test_scope(self):\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        n_zoo = len(self.zoo)\n        s = int(self.widget.scope_prop / 100 * n_zoo)\n        self.assertGreater(sum((output.Y == self.zoo.Y).astype(int)), n_zoo - s)\n        self.assertLessEqual(sum((output.Y != self.zoo.Y).astype(int)), s)\n\n    def test_replicable_shuffling(self):\n        \"\"\"Check widget's output for replicable shuffling \"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.replicable_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.widget.apply()\n        output2 = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, output2.X)\n        np.testing.assert_array_equal(output.Y, output2.Y)\n        np.testing.assert_array_equal(output.metas, output2.metas)\n\n    def test_summary(self):\n        \"\"\"\"Check if status bar displays correct input/output summary\"\"\"\n        output_sum = self.widget.info.set_output_summary = Mock()\n        input_sum = self.widget.info.set_input_summary = Mock()\n\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        input_sum.assert_called_with(str(len(self.zoo)))\n        output = self.get_output(self.widget.Outputs.data)\n        output_sum.assert_called_with(str(len(output)))\n        input_sum.reset_mock()\n        output_sum.reset_mock()\n\n        self.send_signal(self.widget.Inputs.data, None)\n        input_sum.assert_called_once()\n        self.assertEqual(input_sum.call_args[0][0].brief, \"\")\n        output_sum.assert_called_once()\n        self.assertEqual(output_sum.call_args[0][0].brief, \"\")\n\n    def test_unconditional_commit_on_new_signal(self):\n        with patch.object(self.widget, 'unconditional_apply') as apply:\n            self.widget.auto_apply = False\n            apply.reset_mock()\n            self.send_signal(self.widget.Inputs.data, self.zoo)\n            apply.assert_called()",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 77,
                            "end_lineno": 93,
                            "parent": {
                                "file_name": "Orange/widgets/data/tests/test_owrandomize.py",
                                "type": "class",
                                "name": "TestOWRandomize",
                                "content": "class TestOWRandomize(WidgetTest):\n    @classmethod\n    def setUpClass(cls):\n        super().setUpClass()\n        cls.zoo = Table(\"zoo\")\n\n    def setUp(self):\n        self.widget = self.create_widget(OWRandomize)\n\n    def test_data(self):\n        \"\"\"Check widget's data and output with data on the input\"\"\"\n        self.assertEqual(self.widget.data, None)\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.assertEqual(self.widget.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.send_signal(self.widget.Inputs.data, None)\n        self.assertEqual(self.widget.data, None)\n        self.assertIsNone(self.get_output(self.widget.Outputs.data))\n\n    def test_shuffling(self):\n        \"\"\"Check widget's output for all types of shuffling\"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.class_check.setChecked(True)\n        self.widget.attrs_check.setChecked(True)\n        self.widget.metas_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        self.assertTrue((output.X != self.zoo.X).any())\n        self.assertTrue((np.sort(output.X, axis=0) ==\n                         np.sort(self.zoo.X, axis=0)).all())\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.assertTrue((output.metas != self.zoo.metas).any())\n        self.assertTrue((np.sort(output.metas, axis=0) ==\n                         np.sort(self.zoo.metas, axis=0)).all())\n\n    def test_scope(self):\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        n_zoo = len(self.zoo)\n        s = int(self.widget.scope_prop / 100 * n_zoo)\n        self.assertGreater(sum((output.Y == self.zoo.Y).astype(int)), n_zoo - s)\n        self.assertLessEqual(sum((output.Y != self.zoo.Y).astype(int)), s)\n\n    def test_replicable_shuffling(self):\n        \"\"\"Check widget's output for replicable shuffling \"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.replicable_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.widget.apply()\n        output2 = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, output2.X)\n        np.testing.assert_array_equal(output.Y, output2.Y)\n        np.testing.assert_array_equal(output.metas, output2.metas)\n\n    def test_summary(self):\n        \"\"\"\"Check if status bar displays correct input/output summary\"\"\"\n        output_sum = self.widget.info.set_output_summary = Mock()\n        input_sum = self.widget.info.set_input_summary = Mock()\n\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        input_sum.assert_called_with(str(len(self.zoo)))\n        output = self.get_output(self.widget.Outputs.data)\n        output_sum.assert_called_with(str(len(output)))\n        input_sum.reset_mock()\n        output_sum.reset_mock()\n\n        self.send_signal(self.widget.Inputs.data, None)\n        input_sum.assert_called_once()\n        self.assertEqual(input_sum.call_args[0][0].brief, \"\")\n        output_sum.assert_called_once()\n        self.assertEqual(output_sum.call_args[0][0].brief, \"\")\n\n    def test_unconditional_commit_on_new_signal(self):\n        with patch.object(self.widget, 'unconditional_apply') as apply:\n            self.widget.auto_apply = False\n            apply.reset_mock()\n            self.send_signal(self.widget.Inputs.data, self.zoo)\n            apply.assert_called()",
                                "ast_type_str": "ClassDef",
                                "start_lineno": 12,
                                "end_lineno": 100,
                                "parent": null
                            }
                        },
                        {
                            "file_name": "Orange/widgets/data/tests/test_owrandomize.py",
                            "type": "class",
                            "name": "TestOWRandomize",
                            "content": "class TestOWRandomize(WidgetTest):\n    @classmethod\n    def setUpClass(cls):\n        super().setUpClass()\n        cls.zoo = Table(\"zoo\")\n\n    def setUp(self):\n        self.widget = self.create_widget(OWRandomize)\n\n    def test_data(self):\n        \"\"\"Check widget's data and output with data on the input\"\"\"\n        self.assertEqual(self.widget.data, None)\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.assertEqual(self.widget.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.send_signal(self.widget.Inputs.data, None)\n        self.assertEqual(self.widget.data, None)\n        self.assertIsNone(self.get_output(self.widget.Outputs.data))\n\n    def test_shuffling(self):\n        \"\"\"Check widget's output for all types of shuffling\"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.class_check.setChecked(True)\n        self.widget.attrs_check.setChecked(True)\n        self.widget.metas_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        self.assertTrue((output.X != self.zoo.X).any())\n        self.assertTrue((np.sort(output.X, axis=0) ==\n                         np.sort(self.zoo.X, axis=0)).all())\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.assertTrue((output.metas != self.zoo.metas).any())\n        self.assertTrue((np.sort(output.metas, axis=0) ==\n                         np.sort(self.zoo.metas, axis=0)).all())\n\n    def test_scope(self):\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        n_zoo = len(self.zoo)\n        s = int(self.widget.scope_prop / 100 * n_zoo)\n        self.assertGreater(sum((output.Y == self.zoo.Y).astype(int)), n_zoo - s)\n        self.assertLessEqual(sum((output.Y != self.zoo.Y).astype(int)), s)\n\n    def test_replicable_shuffling(self):\n        \"\"\"Check widget's output for replicable shuffling \"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.replicable_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.widget.apply()\n        output2 = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, output2.X)\n        np.testing.assert_array_equal(output.Y, output2.Y)\n        np.testing.assert_array_equal(output.metas, output2.metas)\n\n    def test_summary(self):\n        \"\"\"\"Check if status bar displays correct input/output summary\"\"\"\n        output_sum = self.widget.info.set_output_summary = Mock()\n        input_sum = self.widget.info.set_input_summary = Mock()\n\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        input_sum.assert_called_with(str(len(self.zoo)))\n        output = self.get_output(self.widget.Outputs.data)\n        output_sum.assert_called_with(str(len(output)))\n        input_sum.reset_mock()\n        output_sum.reset_mock()\n\n        self.send_signal(self.widget.Inputs.data, None)\n        input_sum.assert_called_once()\n        self.assertEqual(input_sum.call_args[0][0].brief, \"\")\n        output_sum.assert_called_once()\n        self.assertEqual(output_sum.call_args[0][0].brief, \"\")\n\n    def test_unconditional_commit_on_new_signal(self):\n        with patch.object(self.widget, 'unconditional_apply') as apply:\n            self.widget.auto_apply = False\n            apply.reset_mock()\n            self.send_signal(self.widget.Inputs.data, self.zoo)\n            apply.assert_called()",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 12,
                            "end_lineno": 100,
                            "parent": null
                        }
                    ],
                    "added_entities": [],
                    "deleted_entities": []
                }
            ]
        }
    ],
    "old_commit_hash": "8eaa6700d6b4c705fcb6898a3db1424e0af43ea9^",
    "new_commit_hash": "8eaa6700d6b4c705fcb6898a3db1424e0af43ea9",
    "commit_message": "Data info displayed in the status bar",
    "commit_date": "2020-03-06T16:01:22+01:00",
    "metadata": {}
}
{
    "repo_name": "orange3",
    "new_commit_hash": "8eaa6700d6b4c705fcb6898a3db1424e0af43ea9",
    "test_file_codes": [
        "# Test methods with long descriptive names can omit docstrings\n# pylint: disable=missing-docstring,unsubscriptable-object\nfrom unittest.mock import patch, Mock\n\nimport numpy as np\n\nfrom Orange.data import Table\nfrom Orange.widgets.data.owrandomize import OWRandomize\nfrom Orange.widgets.tests.base import WidgetTest\nfrom Orange.widgets.utils.state_summary import format_summary_details\n\n\nclass TestOWRandomize(WidgetTest):\n    @classmethod\n    def setUpClass(cls):\n        super().setUpClass()\n        cls.zoo = Table(\"zoo\")\n\n    def setUp(self):\n        self.widget = self.create_widget(OWRandomize)\n\n    def test_data(self):\n        \"\"\"Check widget's data and output with data on the input\"\"\"\n        self.assertEqual(self.widget.data, None)\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.assertEqual(self.widget.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.send_signal(self.widget.Inputs.data, None)\n        self.assertEqual(self.widget.data, None)\n        self.assertIsNone(self.get_output(self.widget.Outputs.data))\n\n    def test_shuffling(self):\n        \"\"\"Check widget's output for all types of shuffling\"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.class_check.setChecked(True)\n        self.widget.attrs_check.setChecked(True)\n        self.widget.metas_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        self.assertTrue((output.X != self.zoo.X).any())\n        self.assertTrue((np.sort(output.X, axis=0) ==\n                         np.sort(self.zoo.X, axis=0)).all())\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.assertTrue((output.metas != self.zoo.metas).any())\n        self.assertTrue((np.sort(output.metas, axis=0) ==\n                         np.sort(self.zoo.metas, axis=0)).all())\n\n    def test_scope(self):\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        output = self.get_output(self.widget.Outputs.data)\n        n_zoo = len(self.zoo)\n        s = int(self.widget.scope_prop / 100 * n_zoo)\n        self.assertGreater(sum((output.Y == self.zoo.Y).astype(int)), n_zoo - s)\n        self.assertLessEqual(sum((output.Y != self.zoo.Y).astype(int)), s)\n\n    def test_replicable_shuffling(self):\n        \"\"\"Check widget's output for replicable shuffling \"\"\"\n        self.send_signal(self.widget.Inputs.data, self.zoo)\n        self.widget.replicable_check.setChecked(True)\n        output = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, self.zoo.X)\n        np.testing.assert_array_equal(output.metas, self.zoo.metas)\n        self.assertTrue((output.Y != self.zoo.Y).any())\n        self.assertTrue((np.sort(output.Y, axis=0) ==\n                         np.sort(self.zoo.Y, axis=0)).all())\n        self.widget.apply()\n        output2 = self.get_output(self.widget.Outputs.data)\n        np.testing.assert_array_equal(output.X, output2.X)\n        np.testing.assert_array_equal(output.Y, output2.Y)\n        np.testing.assert_array_equal(output.metas, output2.metas)\n\n    def test_summary(self):\n        \"\"\"\"Check if status bar displays correct input/output summary\"\"\"\n        output_sum = self.widget.info.set_output_summary = Mock()\n        input_sum = self.widget.info.set_input_summary = Mock()\n\n        data = self.zoo\n        self.send_signal(self.widget.Inputs.data, data)\n        input_sum.assert_called_with(len(data),\n                                     format_summary_details(data))\n        output = self.get_output(self.widget.Outputs.data)\n        output_sum.assert_called_with(len(output),\n                                      format_summary_details(output))\n        input_sum.reset_mock()\n        output_sum.reset_mock()\n        self.send_signal(self.widget.Inputs.data, None)\n        input_sum.assert_called_once()\n        self.assertEqual(input_sum.call_args[0][0].brief, \"\")\n        output_sum.assert_called_once()\n        self.assertEqual(output_sum.call_args[0][0].brief, \"\")\n\n    def test_unconditional_commit_on_new_signal(self):\n        with patch.object(self.widget, 'unconditional_apply') as apply:\n            self.widget.auto_apply = False\n            apply.reset_mock()\n            self.send_signal(self.widget.Inputs.data, self.zoo)\n            apply.assert_called()\n"
    ],
    "test_file_names": [
        "test_1.py"
    ],
    "setup_res_code": 0,
    "setup_res_stdout": "Starting Orange installation attempts...\nAttempting installation with Python 3.7...\nrunning build_ext\nrunning build_src\nbuild_src\nbuilding extension \"Orange.classification._simple_tree\" sources\nbuilding extension \"Orange.classification._tree_scorers\" sources\nbuilding extension \"Orange.data._valuecount\" sources\nbuilding extension \"Orange.data._contingency\" sources\nbuilding extension \"Orange.data._io\" sources\nbuilding extension \"Orange.data._variable\" sources\nbuilding extension \"Orange.distance._distance\" sources\nbuilding extension \"Orange.preprocess._discretize\" sources\nbuilding extension \"Orange.preprocess._relieff\" sources\nbuilding extension \"Orange.projection._som\" sources\nbuilding extension \"Orange.widgets.utils._grid_density\" sources\nbuild_src: building npy-pkg config files\ncustomize UnixCCompiler\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncreating /tmp/tmpncs3yx2p/tmp\ncreating /tmp/tmpncs3yx2p/tmp/tmpncs3yx2p\ncompile options: '-MMD -MF /tmp/tmpncs3yx2p/file.c.d -c'\ncc: /tmp/tmpncs3yx2p/file.c\ncustomize UnixCCompiler using build_ext\ncustomize UnixCCompiler\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncreating /tmp/tmp6mo5axh0/tmp\ncreating /tmp/tmp6mo5axh0/tmp/tmp6mo5axh0\ncompile options: '-MMD -MF /tmp/tmp6mo5axh0/file.c.d -c'\ncc: /tmp/tmp6mo5axh0/file.c\ncustomize UnixCCompiler using build_ext\nbuilding 'Orange.classification._simple_tree' extension\ncompiling C sources\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncreating build/temp.linux-x86_64-3.7/Orange\ncreating build/temp.linux-x86_64-3.7/Orange/classification\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\ncc: Orange/classification/_simple_tree.c\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 Orange/classification/_simple_tree.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.classification._tree_scorers' extension\ncompiling C sources\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\ncc: Orange/classification/_tree_scorers.c\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 Orange/classification/_tree_scorers.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.data._valuecount' extension\ncompiling C sources\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncreating build/temp.linux-x86_64-3.7/Orange/data\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\ncc: Orange/data/_valuecount.c\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 Orange/data/_valuecount.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.data._contingency' extension\ncompiling C sources\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\ncc: Orange/data/_contingency.c\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 Orange/data/_contingency.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.data._io' extension\ncompiling C sources\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\ncc: Orange/data/_io.c\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 Orange/data/_io.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.data._variable' extension\ncompiling C sources\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\ncc: Orange/data/_variable.c\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 Orange/data/_variable.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.distance._distance' extension\ncompiling C sources\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncreating build/temp.linux-x86_64-3.7/Orange/distance\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\ncc: Orange/distance/_distance.c\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 Orange/distance/_distance.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.preprocess._discretize' extension\ncompiling C sources\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncreating build/temp.linux-x86_64-3.7/Orange/preprocess\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\ncc: Orange/preprocess/_discretize.c\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 Orange/preprocess/_discretize.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.preprocess._relieff' extension\ncompiling C++ sources\nC compiler: c++ -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\nc++: Orange/preprocess/_relieff.cpp\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 Orange/preprocess/_relieff.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.projection._som' extension\ncompiling C sources\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncreating build/temp.linux-x86_64-3.7/Orange/projection\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\ncc: Orange/projection/_som.c\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 Orange/projection/_som.cpython-37m-x86_64-linux-gnu.so\nbuilding 'Orange.widgets.utils._grid_density' extension\ncompiling C++ sources\nC compiler: c++ -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncreating build/temp.linux-x86_64-3.7/Orange/widgets\ncreating build/temp.linux-x86_64-3.7/Orange/widgets/utils\ncompile options: '-I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/include -I/home/gcpuser/.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/include/python3.7m -c'\nc++: Orange/widgets/utils/_grid_density.cpp\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 Orange/widgets/utils/_grid_density.cpython-37m-x86_64-linux-gnu.so\nrunning develop\nrunning build_scripts\nrunning egg_info\nrunning build_src\nbuild_src\nbuilding extension \"Orange.classification._simple_tree\" sources\nbuilding extension \"Orange.classification._tree_scorers\" sources\nbuilding extension \"Orange.data._valuecount\" sources\nbuilding extension \"Orange.data._contingency\" sources\nbuilding extension \"Orange.data._io\" sources\nbuilding extension \"Orange.data._variable\" sources\nbuilding extension \"Orange.distance._distance\" sources\nbuilding extension \"Orange.preprocess._discretize\" sources\nbuilding extension \"Orange.preprocess._relieff\" sources\nbuilding extension \"Orange.projection._som\" sources\nbuilding extension \"Orange.widgets.utils._grid_density\" sources\nbuild_src: building npy-pkg config files\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'\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 '*.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 'COPYING'\nadding license file 'LICENSE'\nwriting manifest file 'Orange3.egg-info/SOURCES.txt'\nrunning build_ext\ncustomize UnixCCompiler\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncreating /tmp/tmp1rjgpptt/tmp\ncreating /tmp/tmp1rjgpptt/tmp/tmp1rjgpptt\ncompile options: '-MMD -MF /tmp/tmp1rjgpptt/file.c.d -c'\ncc: /tmp/tmp1rjgpptt/file.c\ncustomize UnixCCompiler using build_ext\ncustomize UnixCCompiler\nC compiler: cc -pthread -Wno-unused-result -Wsign-compare -Wunreachable-code -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -I/tools/deps/include -I/tools/deps/include/ncursesw -fPIC\n\ncreating /tmp/tmpc9gbuaw9/tmp\ncreating /tmp/tmpc9gbuaw9/tmp/tmpc9gbuaw9\ncompile options: '-MMD -MF /tmp/tmpc9gbuaw9/file.c.d -c'\ncc: /tmp/tmpc9gbuaw9/file.c\ncustomize UnixCCompiler using build_ext\nCreating /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/Orange3.egg-link (link to .)\nAdding Orange3 3.25.0.dev0+8eaa670 to easy-install.pth file\nInstalling orange-canvas script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9\nProcessing dependencies for Orange3==3.25.0.dev0+8eaa670\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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for setuptools==59.8.0\nBest match: setuptools 59.8.0\nAdding setuptools 59.8.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for scipy==1.7.3\nBest match: scipy 1.7.3\nAdding scipy 1.7.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for scikit-learn==1.0.2\nBest match: scikit-learn 1.0.2\nAdding scikit-learn 1.0.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for requests==2.31.0\nBest match: requests 2.31.0\nAdding requests 2.31.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for PyYAML==6.0.1\nBest match: PyYAML 6.0.1\nAdding PyYAML 6.0.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for pyqtgraph==0.10.0\nBest match: pyqtgraph 0.10.0\nAdding pyqtgraph 0.10.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for pip==24.0\nBest match: pip 24.0\nAdding pip 24.0 to easy-install.pth file\nInstalling pip script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\nInstalling pip3 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\nInstalling pip3.10 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for pandas==1.3.5\nBest match: pandas 1.3.5\nAdding pandas 1.3.5 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for orange-widget-base==4.22.0\nBest match: orange-widget-base 4.22.0\nAdding orange-widget-base 4.22.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for orange-canvas-core==0.1.35\nBest match: orange-canvas-core 0.1.35\nAdding orange-canvas-core 0.1.35 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for openpyxl==3.1.3\nBest match: openpyxl 3.1.3\nAdding openpyxl 3.1.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for openTSNE==1.0.1\nBest match: openTSNE 1.0.1\nAdding openTSNE 1.0.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for numpy==1.17.5\nBest match: numpy 1.17.5\nAdding numpy 1.17.5 to easy-install.pth file\nInstalling f2py script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\nInstalling f2py3 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\nInstalling f2py3.7 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for networkx==2.6.3\nBest match: networkx 2.6.3\nAdding networkx 2.6.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for matplotlib==3.5.3\nBest match: matplotlib 3.5.3\nAdding matplotlib 3.5.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for keyrings.alt==4.2.0\nBest match: keyrings.alt 4.2.0\nAdding keyrings.alt 4.2.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for keyring==24.1.1\nBest match: keyring 24.1.1\nAdding keyring 24.1.1 to easy-install.pth file\nInstalling keyring script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for joblib==1.3.2\nBest match: joblib 1.3.2\nAdding joblib 1.3.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for docutils==0.20.1\nBest match: docutils 0.20.1\nAdding docutils 0.20.1 to easy-install.pth file\nInstalling docutils script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for Bottleneck==1.4.0\nBest match: Bottleneck 1.4.0\nAdding Bottleneck 1.4.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for threadpoolctl==3.1.0\nBest match: threadpoolctl 3.1.0\nAdding threadpoolctl 3.1.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for urllib3==2.0.7\nBest match: urllib3 2.0.7\nAdding urllib3 2.0.7 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for typing-extensions==4.7.1\nBest match: typing-extensions 4.7.1\nAdding typing-extensions 4.7.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for qasync==0.25.0\nBest match: qasync 0.25.0\nAdding qasync 0.25.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for packaging==24.0\nBest match: packaging 24.0\nAdding packaging 24.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for importlib-metadata==6.7.0\nBest match: importlib-metadata 6.7.0\nAdding importlib-metadata 6.7.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for requests-cache==1.1.1\nBest match: requests-cache 1.1.1\nAdding requests-cache 1.1.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for et-xmlfile==1.1.0\nBest match: et-xmlfile 1.1.0\nAdding et-xmlfile 1.1.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for cycler==0.11.0\nBest match: cycler 0.11.0\nAdding cycler 0.11.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for Pillow==9.5.0\nBest match: Pillow 9.5.0\nAdding Pillow 9.5.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for fonttools==4.38.0\nBest match: fonttools 4.38.0\nAdding fonttools 4.38.0 to easy-install.pth file\nInstalling fonttools script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\nInstalling pyftmerge script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\nInstalling pyftsubset script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\nInstalling ttx script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for pyparsing==3.1.4\nBest match: pyparsing 3.1.4\nAdding pyparsing 3.1.4 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for kiwisolver==1.4.5\nBest match: kiwisolver 1.4.5\nAdding kiwisolver 1.4.5 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for jaraco.classes==3.2.3\nBest match: jaraco.classes 3.2.3\nAdding jaraco.classes 3.2.3 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for importlib-resources==5.12.0\nBest match: importlib-resources 5.12.0\nAdding importlib-resources 5.12.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for zipp==3.15.0\nBest match: zipp 3.15.0\nAdding zipp 3.15.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for platformdirs==4.0.0\nBest match: platformdirs 4.0.0\nAdding platformdirs 4.0.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for cattrs==23.1.2\nBest match: cattrs 23.1.2\nAdding cattrs 23.1.2 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for attrs==24.2.0\nBest match: attrs 24.2.0\nAdding attrs 24.2.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for more-itertools==9.1.0\nBest match: more-itertools 9.1.0\nAdding more-itertools 9.1.0 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for cffi==1.15.1\nBest match: cffi 1.15.1\nAdding cffi 1.15.1 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nSearching for pycparser==2.21\nBest match: pycparser 2.21\nAdding pycparser 2.21 to easy-install.pth file\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages\nFinished processing dependencies for Orange3==3.25.0.dev0+8eaa670\nVerifying Orange installation...\n✅ Orange installation successful!\nSuccessfully installed orange using Python 3.7\n",
    "setup_res_stderr": "Using CPython 3.7.9\nCreating virtual environment at: .venv\nActivate with: source .venv/bin/activate\nResolved 18 packages in 101ms\nPrepared 18 packages in 46ms\nInstalled 18 packages in 110ms\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\nResolved 48 packages in 341ms\nInstalled 42 packages in 649ms\n + baycomp==1.0.3\n + bottleneck==1.4.0\n + certifi==2024.12.14\n + cffi==1.15.1\n + chardet==5.2.0\n + charset-normalizer==3.4.1\n + cryptography==44.0.0\n + cycler==0.11.0\n + et-xmlfile==1.1.0\n + fonttools==4.38.0\n + idna==3.10\n + importlib-resources==5.12.0\n + jaraco-classes==3.2.3\n + jeepney==0.8.0\n + joblib==1.3.2\n + keyring==24.1.1\n + keyrings-alt==4.2.0\n + kiwisolver==1.4.5\n + matplotlib==3.5.3\n + more-itertools==9.1.0\n + networkx==2.6.3\n + openpyxl==3.1.3\n + opentsne==1.0.1\n + pandas==1.3.5\n + pillow==9.5.0\n + pip==24.0\n + pycparser==2.21\n + pyparsing==3.1.4\n + python-dateutil==2.9.0.post0\n + python-louvain==0.16\n + pytz==2024.2\n + pyyaml==6.0.1\n + requests==2.31.0\n + scikit-learn==1.0.2\n + scipy==1.7.3\n + secretstorage==3.3.3\n + serverfiles==0.3.1\n + six==1.17.0\n + threadpoolctl==3.1.0\n + urllib3==2.0.7\n + xlrd==2.0.1\n + xlsxwriter==3.2.0\nResolved 34 packages in 100ms\nInstalled 13 packages in 77ms\n + anyqt==0.2.0\n + attrs==24.2.0\n + cattrs==23.1.2\n + commonmark==0.9.1\n + dictdiffer==0.9.0\n + docutils==0.20.1\n + orange-canvas-core==0.1.35\n + orange-widget-base==4.22.0\n + platformdirs==4.0.0\n + pyqtgraph==0.10.0\n + qasync==0.25.0\n + requests-cache==1.1.1\n + url-normalize==1.4.3\nResolved 2 packages in 3ms\nInstalled 2 packages in 34ms\n + psycopg2==2.9.9\n + pymssql==2.3.2\nAudited 1 package in 18ms\nAudited 2 packages in 20ms\nOrange/classification/_simple_tree.c: In function ‘gain_ratio_c’:\nOrange/classification/_simple_tree.c:63:9: warning: implicit declaration of function ‘qsort_r’; did you mean ‘qsort’? [-Wimplicit-function-declaration]\n   63 |         qsort_r(base, nel, size, compar, thunk)\n      |         ^~~~~~~\nOrange/classification/_simple_tree.c:147:9: note: in expansion of macro ‘QSORT_R_FUNC’\n  147 |         QSORT_R_FUNC(examples, size, sizeof(struct Example), (void*) &compar_attr, compar_examples);\n      |         ^~~~~~~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/classification/_tree_scorers.c:567:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.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:3115:27: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 3115 |   __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:4619:27: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 4619 |   __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:5396:43: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 5396 |           for (__pyx_t_22 = 0; __pyx_t_22 < __pyx_t_21; __pyx_t_22+=1) {\n      |                                           ^\nOrange/classification/_tree_scorers.c:5517:39: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 5517 |           __pyx_t_27 = ((__pyx_v_left >= __pyx_v_min_leaf) != 0);\n      |                                       ^~\nOrange/classification/_tree_scorers.c:5523:53: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 5523 |           __pyx_t_27 = (((__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:7051:41: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 7051 |         for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) {\n      |                                         ^\nOrange/classification/_tree_scorers.c: In function ‘__pyx_pf_6Orange_14classification_13_tree_scorers_16compute_predictions_csc’:\nOrange/classification/_tree_scorers.c:7741:41: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare]\n 7741 |         for (__pyx_t_11 = 0; __pyx_t_11 < __pyx_t_10; __pyx_t_11+=1) {\n      |                                         ^\nOrange/classification/_tree_scorers.c:7801:143: warning: comparison of integer expressions of different signedness: ‘__pyx_t_5numpy_int32_t’ {aka ‘int’} and ‘unsigned int’ [-Wsign-compare]\n 7801 |               __pyx_t_17 = (((*((__pyx_t_5numpy_int32_t *) ( /* dim=0 */ (__pyx_v_indices.data + __pyx_t_18 * __pyx_v_indices.strides[0]) ))) != __pyx_v_i) != 0);\n      |                                                                                                                                               ^~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/data/_valuecount.c:567:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/data/_contingency.c:598:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.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:3881:24: warning: ‘__pyx_v_decs’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3881 |           __pyx_v_decs = (__pyx_v_decs / 10.0);\n      |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~\nOrange/data/_io.c:4070:24: warning: ‘__pyx_v_value’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4070 |           __pyx_t_10 = PyFloat_FromDouble(__pyx_v_value); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 221, __pyx_L5_error)\n      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\nOrange/data/_io.c:480:40: warning: ‘__pyx_v_attr_index’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n  480 |   #define PyInt_FromLong               PyLong_FromLong\n      |                                        ^~~~~~~~~~~~~~~\nOrange/data/_io.c:1301:7: note: ‘__pyx_v_attr_index’ was declared here\n 1301 |   int __pyx_v_attr_index;\n      |       ^~~~~~~~~~~~~~~~~~\nOrange/data/_io.c:2935:25: warning: ‘__pyx_v_atomp’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 2935 |           __pyx_v_atomp = (__pyx_v_atomp + 1);\n      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~\nIn file included from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/distance/_distance.c:598:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/preprocess/_discretize.c:567:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/preprocess/_relieff.cpp:581:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/arrayobject.h:4,\n                 from Orange/projection/_som.c:598:\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.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:3655:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3655 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:3654:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3654 |   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:4547:223: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4547 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_38, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_39, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_y;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:4114:7: note: ‘__pyx_v_win_y’ was declared here\n 4114 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:4536:223: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4536 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_36, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_37, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_x;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:4113:7: note: ‘__pyx_v_win_x’ was declared here\n 4113 |   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:4746:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4746 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:4745:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 4745 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_3update’:\nOrange/projection/_som.c:3141:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 3141 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c: In function ‘__pyx_pw_6Orange_10projection_4_som_1get_winners’:\nOrange/projection/_som.c:2964:223: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 2964 |           *__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:2665:7: note: ‘__pyx_v_win_y’ was declared here\n 2665 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:2953:223: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 2953 |           *__Pyx_BufPtrStrided2d(__pyx_t_5numpy_int16_t *, __pyx_pybuffernd_winners.rcbuffer->pybuffer.buf, __pyx_t_25, __pyx_pybuffernd_winners.diminfo[0].strides, __pyx_t_26, __pyx_pybuffernd_winners.diminfo[1].strides) = __pyx_v_win_x;\n      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~\nOrange/projection/_som.c:2664:7: note: ‘__pyx_v_win_x’ was declared here\n 2664 |   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:5515:7: warning: ‘__pyx_v_win_y’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5515 |   int __pyx_v_win_y;\n      |       ^~~~~~~~~~~~~\nOrange/projection/_som.c:5514:7: warning: ‘__pyx_v_win_x’ may be used uninitialized in this function [-Wmaybe-uninitialized]\n 5514 |   int __pyx_v_win_x;\n      |       ^~~~~~~~~~~~~\n/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.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_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9/.venv/lib/python3.7/site-packages/setuptools/command/egg_info.py:628: SetuptoolsDeprecationWarning: Custom 'build_py' does not implement 'get_data_files_without_manifest'.\nPlease extend command classes from setuptools instead of distutils.\n  SetuptoolsDeprecationWarning\n",
    "new_commit_res_code": 0,
    "new_commit_res_stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.7.9, pytest-7.4.4, pluggy-1.2.0\nrootdir: /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9\ncollected 12 items\n\nr2e_tests/test_1.py sss.........                                         [100%]\n\n==================================== PASSES ====================================\n=========================== short test summary info ============================\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_data\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_image_export\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_minimum_size\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_msg_base_class\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_replicable_shuffling\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_scope\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_shuffling\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_summary\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_unconditional_commit_on_new_signal\nSKIPPED [1] .venv/lib/python3.7/site-packages/orangewidget/tests/base.py:244: image exporting not tested as .widget was not set\nSKIPPED [1] .venv/lib/python3.7/site-packages/orangewidget/tests/base.py:238: minimum size not tested as .widget was not set\nSKIPPED [1] .venv/lib/python3.7/site-packages/orangewidget/tests/base.py:250: msg base class not tested as .widget was not set\n========================= 9 passed, 3 skipped in 3.17s =========================\nWidgets left: 0    Max widgets: 468 \n\n",
    "new_commit_res_stderr": "",
    "old_commit_res_code": 1,
    "old_commit_res_stdout": "============================= test session starts ==============================\nplatform linux -- Python 3.7.9, pytest-7.4.4, pluggy-1.2.0\nrootdir: /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_8eaa6700d6b4c705fcb6898a3db1424e0af43ea9\ncollected 12 items\n\nr2e_tests/test_1.py sss.......F.                                         [100%]\n\n=================================== FAILURES ===================================\n_________________________ TestOWRandomize.test_summary _________________________\n\nself = <r2e_tests.test_1.TestOWRandomize testMethod=test_summary>\n\n    def test_summary(self):\n        \"\"\"\"Check if status bar displays correct input/output summary\"\"\"\n        output_sum = self.widget.info.set_output_summary = Mock()\n        input_sum = self.widget.info.set_input_summary = Mock()\n    \n        data = self.zoo\n        self.send_signal(self.widget.Inputs.data, data)\n        input_sum.assert_called_with(len(data),\n>                                    format_summary_details(data))\n\nr2e_tests/test_1.py:86: \n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ \n\n_mock_self = <Mock id='131999759802256'>\nargs = (101, '101 instances, 18 variables\\nFeatures: 16 categorical\\nTarget: categorical\\nMetas: string (not shown)')\nkwargs = {}\nexpected = ((101, '101 instances, 18 variables\\nFeatures: 16 categorical\\nTarget: categorical\\nMetas: string (not shown)'), {})\n_error_message = <function NonCallableMock.assert_called_with.<locals>._error_message at 0x780d96ca23b0>\nactual = call('101'), cause = None\n\n    def assert_called_with(_mock_self, *args, **kwargs):\n        \"\"\"assert that the mock was called with the specified arguments.\n    \n        Raises an AssertionError if the args and keyword args passed in are\n        different to the last call to the mock.\"\"\"\n        self = _mock_self\n        if self.call_args is None:\n            expected = self._format_mock_call_signature(args, kwargs)\n            raise AssertionError('Expected call: %s\\nNot called' % (expected,))\n    \n        def _error_message():\n            msg = self._format_mock_failure_message(args, kwargs)\n            return msg\n        expected = self._call_matcher((args, kwargs))\n        actual = self._call_matcher(self.call_args)\n        if expected != actual:\n            cause = expected if isinstance(expected, Exception) else None\n>           raise AssertionError(_error_message()) from cause\nE           AssertionError: Expected call: mock(101, '101 instances, 18 variables\\nFeatures: 16 categorical\\nTarget: categorical\\nMetas: string (not shown)')\nE           Actual call: mock('101')\n\n../../../../.local/share/uv/python/cpython-3.7.9-linux-x86_64-gnu/lib/python3.7/unittest/mock.py:878: AssertionError\n==================================== PASSES ====================================\n=========================== short test summary info ============================\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_data\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_image_export\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_minimum_size\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_msg_base_class\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_replicable_shuffling\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_scope\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_shuffling\nPASSED r2e_tests/test_1.py::TestOWRandomize::test_unconditional_commit_on_new_signal\nSKIPPED [1] .venv/lib/python3.7/site-packages/orangewidget/tests/base.py:244: image exporting not tested as .widget was not set\nSKIPPED [1] .venv/lib/python3.7/site-packages/orangewidget/tests/base.py:238: minimum size not tested as .widget was not set\nSKIPPED [1] .venv/lib/python3.7/site-packages/orangewidget/tests/base.py:250: msg base class not tested as .widget was not set\nFAILED r2e_tests/test_1.py::TestOWRandomize::test_summary - AssertionError: E...\n==================== 1 failed, 8 passed, 3 skipped in 2.07s ====================\nWidgets left: 0    Max widgets: 468 \n\n",
    "old_commit_res_stderr": ""
}
Orange/widgets/data/owrandomize.py Orange/widgets/data/tests/test_owrandomize.py
We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
[ISSUE]

**Title:** Status Bar in OWRandomize Widget Only Displays Data Count Without Details

**Description:**
The OWRandomize widget's status bar is intended to provide a summary of the input and output data, including the number of instances and detailed information about the data structure. Currently, it only displays the number of data instances, missing out on important details such as the number of variables and their types. This limitation makes it challenging to quickly assess the characteristics of the data being processed.

**Example Buggy Code:**
```python
def set_data(self, data):
    self.data = data
    text = str(len(data)) if data else self.info.NoInput
    self.info.set_input_summary(text)
```

**Expected Behavior:**
The status bar should display both the count of data instances and a detailed summary of the data, including the number of variables, their types, and other relevant metadata. For example, it should show something like "101 instances, 18 variables" instead of just "101".

**Actual Behavior:**
Only the number of data instances is displayed in the status bar (e.g., "101"), without providing any additional details about the data structure.

[/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/data/owrandomize.py
import random

from AnyQt.QtCore import Qt
from AnyQt.QtWidgets import QSizePolicy

from Orange.data import Table
from Orange.preprocess import Randomize
from Orange.widgets.settings import Setting
from Orange.widgets.utils.widgetpreview import WidgetPreview
from Orange.widgets.widget import OWWidget, Input, Output
from Orange.widgets import gui


class OWRandomize(OWWidget):
    name = "Randomize"
    description = "Randomize features, class and/or metas in data table."
    icon = "icons/Random.svg"
    priority = 2100
    keywords = []

    class Inputs:
        data = Input("Data", Table)

    class Outputs:
        data = Output("Data", Table)

    resizing_enabled = False
    want_main_area = False

    shuffle_class = Setting(True)
    shuffle_attrs = Setting(False)
    shuffle_metas = Setting(False)
    scope_prop = Setting(80)
    random_seed = Setting(False)
    auto_apply = Setting(True)

    def __init__(self):
        super().__init__()
        self.data = None

        # GUI
        box = gui.hBox(self.controlArea, "Shuffled columns")
        box.layout().setSpacing(20)
        self.class_check = gui.checkBox(
            box, self, "shuffle_class", "Classes",
            callback=self._shuffle_check_changed)
        self.attrs_check = gui.checkBox(
            box, self, "shuffle_attrs", "Features",
            callback=self._shuffle_check_changed)
        self.metas_check = gui.checkBox(
            box, self, "shuffle_metas", "Metas",
            callback=self._shuffle_check_changed)

        box = gui.vBox(self.controlArea, "Shuffled rows")
        hbox = gui.hBox(box)
        gui.widgetLabel(hbox, "None")
        self.scope_slider = gui.hSlider(
            hbox, self, "scope_prop", minValue=0, maxValue=100, width=140,
            createLabel=False, callback=self._scope_slider_changed)
        gui.widgetLabel(hbox, "All")
        self.scope_label = gui.widgetLabel(
            box, "", alignment=Qt.AlignCenter,
            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))
        self._set_scope_label()
        gui.separator(box, 10, 10)
        self.replicable_check = gui.checkBox(
            box, self, "random_seed", "Replicable shuffling",
            callback=self._shuffle_check_changed)

        self.info.set_input_summary(self.info.NoInput)
        self.info.set_output_summary(self.info.NoInput)

        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)

    @property
    def parts(self):
        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]

    def _shuffle_check_changed(self):
        self.apply()

    def _scope_slider_changed(self):
        self._set_scope_label()
        self.apply()

    def _set_scope_label(self):
        self.scope_label.setText("{}%".format(self.scope_prop))

    @Inputs.data
    def set_data(self, data):
        self.data = data
        self.unconditional_apply()
        text = str(len(data)) if data else self.info.NoInput
        self.info.set_input_summary(text)

    def apply(self):
        data = None
        if self.data:
            rand_seed = self.random_seed or None
            size = int(len(self.data) * self.scope_prop / 100)
            random.seed(rand_seed)
            indices = sorted(random.sample(range(len(self.data)), size))
            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)
            randomized = Randomize(type_, rand_seed)(self.data[indices])
            data = self.data.copy()
            for i, instance in zip(indices, randomized):
                data[i] = instance
        text = str(len(data)) if data else self.info.NoInput
        self.info.set_output_summary(text)
        self.Outputs.data.send(data)

    def send_report(self):
        labels = ["classes", "features", "metas"]
        include = [label for label, i in zip(labels, self.parts) if i]
        text = "none" if not include else \
            " and ".join(filter(None, (", ".join(include[:-1]), include[-1])))
        self.report_items(
            "Settings",
            [("Shuffled columns", text),
             ("Proportion of shuffled rows", "{}%".format(self.scope_prop)),
             ("Replicable", "yes" if self.random_seed else "no")])


if __name__ == "__main__":  # pragma: no cover
    WidgetPreview(OWRandomize).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:** Status Bar in OWRandomize Widget Only Displays Data Count Without Details

**Description:**
The OWRandomize widget's status bar is intended to provide a summary of the input and output data, including the number of instances and detailed information about the data structure. Currently, it only displays the number of data instances, missing out on important details such as the number of variables and their types. This limitation makes it challenging to quickly assess the characteristics of the data being processed.

**Example Buggy Code:**
```python
def set_data(self, data):
    self.data = data
    text = str(len(data)) if data else self.info.NoInput
    self.info.set_input_summary(text)
```

**Expected Behavior:**
The status bar should display both the count of data instances and a detailed summary of the data, including the number of variables, their types, and other relevant metadata. For example, it should show something like "101 instances, 18 variables" instead of just "101".

**Actual Behavior:**
Only the number of data instances is displayed in the status bar (e.g., "101"), without providing any additional details about the data structure.

[/ISSUE]
{
    "TestOWRandomize.test_data": "PASSED",
    "TestOWRandomize.test_image_export": "PASSED",
    "TestOWRandomize.test_minimum_size": "PASSED",
    "TestOWRandomize.test_msg_base_class": "PASSED",
    "TestOWRandomize.test_replicable_shuffling": "PASSED",
    "TestOWRandomize.test_scope": "PASSED",
    "TestOWRandomize.test_shuffling": "PASSED",
    "TestOWRandomize.test_summary": "PASSED",
    "TestOWRandomize.test_unconditional_commit_on_new_signal": "PASSED"
}
diff --git a/Orange/widgets/data/owrandomize.py b/Orange/widgets/data/owrandomize.py
index c88c25337..018e0fd63 100644
--- a/Orange/widgets/data/owrandomize.py
+++ b/Orange/widgets/data/owrandomize.py
@@ -7,6 +7,7 @@ from Orange.data import Table
 from Orange.preprocess import Randomize
 from Orange.widgets.settings import Setting
 from Orange.widgets.utils.widgetpreview import WidgetPreview
+from Orange.widgets.utils.state_summary import format_summary_details
 from Orange.widgets.widget import OWWidget, Input, Output
 from Orange.widgets import gui
 
@@ -68,7 +69,7 @@ class OWRandomize(OWWidget):
             callback=self._shuffle_check_changed)
 
         self.info.set_input_summary(self.info.NoInput)
-        self.info.set_output_summary(self.info.NoInput)
+        self.info.set_output_summary(self.info.NoOutput)
 
         self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)
 
@@ -89,9 +90,10 @@ class OWRandomize(OWWidget):
     @Inputs.data
     def set_data(self, data):
         self.data = data
+        summary = len(data) if data else self.info.NoInput
+        details = format_summary_details(data) if data else ""
+        self.info.set_input_summary(summary, details)
         self.unconditional_apply()
-        text = str(len(data)) if data else self.info.NoInput
-        self.info.set_input_summary(text)
 
     def apply(self):
         data = None
@@ -105,8 +107,9 @@ class OWRandomize(OWWidget):
             data = self.data.copy()
             for i, instance in zip(indices, randomized):
                 data[i] = instance
-        text = str(len(data)) if data else self.info.NoInput
-        self.info.set_output_summary(text)
+        summary = len(data) if data else self.info.NoOutput
+        details = format_summary_details(data) if data else ""
+        self.info.set_output_summary(summary, details)
         self.Outputs.data.send(data)
 
     def send_report(self):

{"Orange/widgets/data/owrandomize.py": "import random\n\nfrom AnyQt.QtCore import Qt\nfrom AnyQt.QtWidgets import QSizePolicy\n\nfrom Orange.data import Table\nfrom Orange.preprocess import Randomize\nfrom Orange.widgets.settings import Setting\nfrom Orange.widgets.utils.widgetpreview import WidgetPreview\nfrom Orange.widgets.widget import OWWidget, Input, Output\nfrom Orange.widgets import gui\n\n\nclass OWRandomize(OWWidget):\n    name = \"Randomize\"\n    description = \"Randomize features, class and/or metas in data table.\"\n    icon = \"icons/Random.svg\"\n    priority = 2100\n    keywords = []\n\n    class Inputs:\n        data = Input(\"Data\", Table)\n\n    class Outputs:\n        data = Output(\"Data\", Table)\n\n    resizing_enabled = False\n    want_main_area = False\n\n    shuffle_class = Setting(True)\n    shuffle_attrs = Setting(False)\n    shuffle_metas = Setting(False)\n    scope_prop = Setting(80)\n    random_seed = Setting(False)\n    auto_apply = Setting(True)\n\n    def __init__(self):\n        super().__init__()\n        self.data = None\n\n        # GUI\n        box = gui.hBox(self.controlArea, \"Shuffled columns\")\n        box.layout().setSpacing(20)\n        self.class_check = gui.checkBox(\n            box, self, \"shuffle_class\", \"Classes\",\n            callback=self._shuffle_check_changed)\n        self.attrs_check = gui.checkBox(\n            box, self, \"shuffle_attrs\", \"Features\",\n            callback=self._shuffle_check_changed)\n        self.metas_check = gui.checkBox(\n            box, self, \"shuffle_metas\", \"Metas\",\n            callback=self._shuffle_check_changed)\n\n        box = gui.vBox(self.controlArea, \"Shuffled rows\")\n        hbox = gui.hBox(box)\n        gui.widgetLabel(hbox, \"None\")\n        self.scope_slider = gui.hSlider(\n            hbox, self, \"scope_prop\", minValue=0, maxValue=100, width=140,\n            createLabel=False, callback=self._scope_slider_changed)\n        gui.widgetLabel(hbox, \"All\")\n        self.scope_label = gui.widgetLabel(\n            box, \"\", alignment=Qt.AlignCenter,\n            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))\n        self._set_scope_label()\n        gui.separator(box, 10, 10)\n        self.replicable_check = gui.checkBox(\n            box, self, \"random_seed\", \"Replicable shuffling\",\n            callback=self._shuffle_check_changed)\n\n        self.info.set_input_summary(self.info.NoInput)\n        self.info.set_output_summary(self.info.NoInput)\n\n        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)\n\n    @property\n    def parts(self):\n        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]\n\n    def _shuffle_check_changed(self):\n        self.apply()\n\n    def _scope_slider_changed(self):\n        self._set_scope_label()\n        self.apply()\n\n    def _set_scope_label(self):\n        self.scope_label.setText(\"{}%\".format(self.scope_prop))\n\n    @Inputs.data\n    def set_data(self, data):\n        self.data = data\n        self.unconditional_apply()\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_input_summary(text)\n\n    def apply(self):\n        data = None\n        if self.data:\n            rand_seed = self.random_seed or None\n            size = int(len(self.data) * self.scope_prop / 100)\n            random.seed(rand_seed)\n            indices = sorted(random.sample(range(len(self.data)), size))\n            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)\n            randomized = Randomize(type_, rand_seed)(self.data[indices])\n            data = self.data.copy()\n            for i, instance in zip(indices, randomized):\n                data[i] = instance\n        text = str(len(data)) if data else self.info.NoInput\n        self.info.set_output_summary(text)\n        self.Outputs.data.send(data)\n\n    def send_report(self):\n        labels = [\"classes\", \"features\", \"metas\"]\n        include = [label for label, i in zip(labels, self.parts) if i]\n        text = \"none\" if not include else \\\n            \" and \".join(filter(None, (\", \".join(include[:-1]), include[-1])))\n        self.report_items(\n            \"Settings\",\n            [(\"Shuffled columns\", text),\n             (\"Proportion of shuffled rows\", \"{}%\".format(self.scope_prop)),\n             (\"Replicable\", \"yes\" if self.random_seed else \"no\")])\n\n\nif __name__ == \"__main__\":  # pragma: no cover\n    WidgetPreview(OWRandomize).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:** Status Bar in OWRandomize Widget Only Displays Data Count Without Details

**Description:**
The OWRandomize widget's status bar is intended to provide a summary of the input and output data, including the number of instances and detailed information about the data structure. Currently, it only displays the number of data instances, missing out on important details such as the number of variables and their types. This limitation makes it challenging to quickly assess the characteristics of the data being processed.

**Example Buggy Code:**
```python
def set_data(self, data):
    self.data = data
    text = str(len(data)) if data else self.info.NoInput
    self.info.set_input_summary(text)
```

**Expected Behavior:**
The status bar should display both the count of data instances and a detailed summary of the data, including the number of variables, their types, and other relevant metadata. For example, it should show something like "101 instances, 18 variables" instead of just "101".

**Actual Behavior:**
Only the number of data instances is displayed in the status bar (e.g., "101"), without providing any additional details about the data structure.

[/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/data/owrandomize.py
import random

from AnyQt.QtCore import Qt
from AnyQt.QtWidgets import QSizePolicy

from Orange.data import Table
from Orange.preprocess import Randomize
from Orange.widgets.settings import Setting
from Orange.widgets.utils.widgetpreview import WidgetPreview
from Orange.widgets.widget import OWWidget, Input, Output
from Orange.widgets import gui


class OWRandomize(OWWidget):
    name = "Randomize"
    description = "Randomize features, class and/or metas in data table."
    icon = "icons/Random.svg"
    priority = 2100
    keywords = []

    class Inputs:
        data = Input("Data", Table)

    class Outputs:
        data = Output("Data", Table)

    resizing_enabled = False
    want_main_area = False

    shuffle_class = Setting(True)
    shuffle_attrs = Setting(False)
    shuffle_metas = Setting(False)
    scope_prop = Setting(80)
    random_seed = Setting(False)
    auto_apply = Setting(True)

    def __init__(self):
        super().__init__()
        self.data = None

        # GUI
        box = gui.hBox(self.controlArea, "Shuffled columns")
        box.layout().setSpacing(20)
        self.class_check = gui.checkBox(
            box, self, "shuffle_class", "Classes",
            callback=self._shuffle_check_changed)
        self.attrs_check = gui.checkBox(
            box, self, "shuffle_attrs", "Features",
            callback=self._shuffle_check_changed)
        self.metas_check = gui.checkBox(
            box, self, "shuffle_metas", "Metas",
            callback=self._shuffle_check_changed)

        box = gui.vBox(self.controlArea, "Shuffled rows")
        hbox = gui.hBox(box)
        gui.widgetLabel(hbox, "None")
        self.scope_slider = gui.hSlider(
            hbox, self, "scope_prop", minValue=0, maxValue=100, width=140,
            createLabel=False, callback=self._scope_slider_changed)
        gui.widgetLabel(hbox, "All")
        self.scope_label = gui.widgetLabel(
            box, "", alignment=Qt.AlignCenter,
            sizePolicy=(QSizePolicy.MinimumExpanding, QSizePolicy.Fixed))
        self._set_scope_label()
        gui.separator(box, 10, 10)
        self.replicable_check = gui.checkBox(
            box, self, "random_seed", "Replicable shuffling",
            callback=self._shuffle_check_changed)

        self.info.set_input_summary(self.info.NoInput)
        self.info.set_output_summary(self.info.NoInput)

        self.apply_button = gui.auto_apply(self.controlArea, self, box=False, commit=self.apply)

    @property
    def parts(self):
        return [self.shuffle_class, self.shuffle_attrs, self.shuffle_metas]

    def _shuffle_check_changed(self):
        self.apply()

    def _scope_slider_changed(self):
        self._set_scope_label()
        self.apply()

    def _set_scope_label(self):
        self.scope_label.setText("{}%".format(self.scope_prop))

    @Inputs.data
    def set_data(self, data):
        self.data = data
        self.unconditional_apply()
        text = str(len(data)) if data else self.info.NoInput
        self.info.set_input_summary(text)

    def apply(self):
        data = None
        if self.data:
            rand_seed = self.random_seed or None
            size = int(len(self.data) * self.scope_prop / 100)
            random.seed(rand_seed)
            indices = sorted(random.sample(range(len(self.data)), size))
            type_ = sum(t for t, p in zip(Randomize.Type, self.parts) if p)
            randomized = Randomize(type_, rand_seed)(self.data[indices])
            data = self.data.copy()
            for i, instance in zip(indices, randomized):
                data[i] = instance
        text = str(len(data)) if data else self.info.NoInput
        self.info.set_output_summary(text)
        self.Outputs.data.send(data)

    def send_report(self):
        labels = ["classes", "features", "metas"]
        include = [label for label, i in zip(labels, self.parts) if i]
        text = "none" if not include else \
            " and ".join(filter(None, (", ".join(include[:-1]), include[-1])))
        self.report_items(
            "Settings",
            [("Shuffled columns", text),
             ("Proportion of shuffled rows", "{}%".format(self.scope_prop)),
             ("Replicable", "yes" if self.random_seed else "no")])


if __name__ == "__main__":  # pragma: no cover
    WidgetPreview(OWRandomize).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