{
    "file_diffs": [
        {
            "old_file_content": "from Orange.data import StringVariable, DiscreteVariable, ContinuousVariable, \\\n    TimeVariable\n\n\ndef format_variables_string(variables):\n    \"\"\"\n    A function that formats the descriptive part of the input/output summary for\n    either features, targets or metas of the input dataset.\n\n    :param variables: Features, targets or metas of the input dataset\n    :return: A formatted string\n    \"\"\"\n    if not variables:\n        return '—'\n\n    agg = []\n    for var_type_name, var_type in [('categorical', DiscreteVariable),\n                                    ('numeric', ContinuousVariable),\n                                    ('time', TimeVariable),\n                                    ('string', StringVariable)]:\n        # Disable pylint here because a `TimeVariable` is also a\n        # `ContinuousVariable`, and should be labelled as such. That is why\n        # it is necessary to check the type this way instead of using\n        # `isinstance`, which would fail in the above case\n        var_type_list = [v for v in variables if type(v) is var_type]  # pylint: disable=unidiomatic-typecheck\n        if var_type_list:\n            not_shown = ' (not shown)' if issubclass(var_type, StringVariable)\\\n                else ''\n            agg.append((f'{var_type_name}{not_shown}', len(var_type_list)))\n\n    attrs, counts = list(zip(*agg))\n    if len(attrs) > 1:\n        var_string = [f'{i} {j}' for i, j in zip(counts, attrs)]\n        var_string = f'{sum(counts)} ({\", \".join(var_string)})'\n    elif counts[0] == 1:\n        var_string = attrs[0]\n    else:\n        var_string = f'{counts[0]} {attrs[0]}'\n    return var_string\n\n\ndef format_summary_details(data):\n    \"\"\"\n    A function that forms the entire descriptive part of the input/output\n    summary.\n\n    :param data: A dataset\n    :type data: Orange.data.Table\n    :return: A formatted string\n    \"\"\"\n    def _plural(number):\n        return 's' * (number != 1)\n\n    details = ''\n    if data:\n        features = format_variables_string(data.domain.attributes)\n        targets = format_variables_string(data.domain.class_vars)\n        metas = format_variables_string(data.domain.metas)\n\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = \\\n            f'{len(data)} instance{_plural(len(data))}, ' \\\n            f'{n_features} variable{_plural(n_features)}\\n' \\\n            f'Features: {features}\\nTarget: {targets}\\nMetas: {metas}'\n\n    return details\n",
            "new_file_content": "from Orange.data import StringVariable, DiscreteVariable, ContinuousVariable, \\\n    TimeVariable\n\n\ndef format_variables_string(variables):\n    \"\"\"\n    A function that formats the descriptive part of the input/output summary for\n    either features, targets or metas of the input dataset.\n\n    :param variables: Features, targets or metas of the input dataset\n    :return: A formatted string\n    \"\"\"\n    if not variables:\n        return '—'\n\n    agg = []\n    for var_type_name, var_type in [('categorical', DiscreteVariable),\n                                    ('numeric', ContinuousVariable),\n                                    ('time', TimeVariable),\n                                    ('string', StringVariable)]:\n        # Disable pylint here because a `TimeVariable` is also a\n        # `ContinuousVariable`, and should be labelled as such. That is why\n        # it is necessary to check the type this way instead of using\n        # `isinstance`, which would fail in the above case\n        var_type_list = [v for v in variables if type(v) is var_type]  # pylint: disable=unidiomatic-typecheck\n        if var_type_list:\n            agg.append((var_type_name, len(var_type_list)))\n\n    attrs, counts = list(zip(*agg))\n    if len(attrs) > 1:\n        var_string = [f'{i} {j}' for i, j in zip(counts, attrs)]\n        var_string = f'{sum(counts)} ({\", \".join(var_string)})'\n    elif counts[0] == 1:\n        var_string = attrs[0]\n    else:\n        var_string = f'{counts[0]} {attrs[0]}'\n    return var_string\n\n\ndef format_summary_details(data):\n    \"\"\"\n    A function that forms the entire descriptive part of the input/output\n    summary.\n\n    :param data: A dataset\n    :type data: Orange.data.Table\n    :return: A formatted string\n    \"\"\"\n    def _plural(number):\n        return 's' * (number != 1)\n\n    details = ''\n    if data:\n        features = format_variables_string(data.domain.attributes)\n        targets = format_variables_string(data.domain.class_vars)\n        metas = format_variables_string(data.domain.metas)\n\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = \\\n            f'{len(data)} instance{_plural(len(data))}, ' \\\n            f'{n_features} variable{_plural(n_features)}\\n' \\\n            f'Features: {features}\\nTarget: {targets}\\nMetas: {metas}'\n\n    return details\n",
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                            "content": "def format_variables_string(variables):\n    \"\"\"\n    A function that formats the descriptive part of the input/output summary for\n    either features, targets or metas of the input dataset.\n\n    :param variables: Features, targets or metas of the input dataset\n    :return: A formatted string\n    \"\"\"\n    if not variables:\n        return '—'\n\n    agg = []\n    for var_type_name, var_type in [('categorical', DiscreteVariable),\n                                    ('numeric', ContinuousVariable),\n                                    ('time', TimeVariable),\n                                    ('string', StringVariable)]:\n        # Disable pylint here because a `TimeVariable` is also a\n        # `ContinuousVariable`, and should be labelled as such. That is why\n        # it is necessary to check the type this way instead of using\n        # `isinstance`, which would fail in the above case\n        var_type_list = [v for v in variables if type(v) is var_type]  # pylint: disable=unidiomatic-typecheck\n        if var_type_list:\n            not_shown = ' (not shown)' if issubclass(var_type, StringVariable)\\\n                else ''\n            agg.append((f'{var_type_name}{not_shown}', len(var_type_list)))\n\n    attrs, counts = list(zip(*agg))\n    if len(attrs) > 1:\n        var_string = [f'{i} {j}' for i, j in zip(counts, attrs)]\n        var_string = f'{sum(counts)} ({\", \".join(var_string)})'\n    elif counts[0] == 1:\n        var_string = attrs[0]\n    else:\n        var_string = f'{counts[0]} {attrs[0]}'\n    return var_string",
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            "old_file_content": "import unittest\nimport datetime\nfrom collections import namedtuple\n\nimport numpy as np\n\nfrom Orange.data import Table, Domain, StringVariable, ContinuousVariable, \\\n    DiscreteVariable, TimeVariable\nfrom Orange.widgets.utils.state_summary import format_summary_details\n\nVarDataPair = namedtuple('VarDataPair', ['variable', 'data'])\n\n# Continuous variable variations\ncontinuous_full = VarDataPair(\n    ContinuousVariable('continuous_full'),\n    np.array([0, 1, 2, 3, 4], dtype=float),\n)\ncontinuous_missing = VarDataPair(\n    ContinuousVariable('continuous_missing'),\n    np.array([0, 1, 2, np.nan, 4], dtype=float),\n)\n\n# Unordered discrete variable variations\nrgb_full = VarDataPair(\n    DiscreteVariable('rgb_full', values=('r', 'g', 'b')),\n    np.array([0, 1, 1, 1, 2], dtype=float),\n)\nrgb_missing = VarDataPair(\n    DiscreteVariable('rgb_missing', values=('r', 'g', 'b')),\n    np.array([0, 1, 1, np.nan, 2], dtype=float),\n)\n\n# Ordered discrete variable variations\nints_full = VarDataPair(\n    DiscreteVariable('ints_full', values=('2', '3', '4'), ordered=True),\n    np.array([0, 1, 1, 1, 2], dtype=float),\n)\nints_missing = VarDataPair(\n    DiscreteVariable('ints_missing', values=('2', '3', '4'), ordered=True),\n    np.array([0, 1, 1, np.nan, 2], dtype=float),\n)\n\n\ndef _to_timestamps(years):\n    return [datetime.datetime(year, 1, 1).timestamp() if not np.isnan(year)\n            else np.nan for year in years]\n\n\ntime_full = VarDataPair(\n    TimeVariable('time_full'),\n    np.array(_to_timestamps([2000, 2001, 2002, 2003, 2004]), dtype=float),\n)\ntime_missing = VarDataPair(\n    TimeVariable('time_missing'),\n    np.array(_to_timestamps([2000, np.nan, 2001, 2003, 2004]), dtype=float),\n)\n\n# String variable variations\nstring_full = VarDataPair(\n    StringVariable('string_full'),\n    np.array(['a', 'b', 'c', 'd', 'e'], dtype=object),\n)\nstring_missing = VarDataPair(\n    StringVariable('string_missing'),\n    np.array(['a', 'b', 'c', StringVariable.Unknown, 'e'], dtype=object),\n)\n\n\ndef make_table(attributes, target=None, metas=None):\n    \"\"\"Build an instance of a table given various variables.\n\n    Parameters\n    ----------\n    attributes : Iterable[Tuple[Variable, np.array]\n    target : Optional[Iterable[Tuple[Variable, np.array]]\n    metas : Optional[Iterable[Tuple[Variable, np.array]]\n\n    Returns\n    -------\n    Table\n\n    \"\"\"\n    attribute_vars, attribute_vals = list(zip(*attributes))\n    attribute_vals = np.array(attribute_vals).T\n\n    target_vars, target_vals = None, None\n    if target is not None:\n        target_vars, target_vals = list(zip(*target))\n        target_vals = np.array(target_vals).T\n\n    meta_vars, meta_vals = None, None\n    if metas is not None:\n        meta_vars, meta_vals = list(zip(*metas))\n        meta_vals = np.array(meta_vals).T\n\n    return Table.from_numpy(\n        Domain(attribute_vars, class_vars=target_vars, metas=meta_vars),\n        X=attribute_vals, Y=target_vals, metas=meta_vals,\n    )\n\n\nclass TestUtils(unittest.TestCase):\n    def test_details(self):\n        \"\"\"Check if details part of the summary is formatted correctly\"\"\"\n        data = Table('zoo')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} categorical\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('housing')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: numeric\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('heart_disease')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(7 categorical, 6 numeric)\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, continuous_missing],\n            target=[rgb_full, rgb_missing], metas=[ints_full, ints_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: {len(data.domain.class_vars)} categorical\\n' \\\n                  f'Metas: {len(data.domain.metas)} categorical'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, time_full, ints_full, rgb_missing],\n            target=[rgb_full, continuous_missing],\n            metas=[string_full, string_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(2 categorical, 1 numeric, 1 time)\\n' \\\n                  f'Target: {len(data.domain.class_vars)} ' \\\n                  f'(1 categorical, 1 numeric)\\n' \\\n                  f'Metas: {len(data.domain.metas)} string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([time_full, time_missing], target=[ints_missing],\n                          metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} time\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full, ints_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.variables)} categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variable\\n' \\\n                  f'Features: categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = None\n        self.assertEqual('', format_summary_details(data))\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n",
            "new_file_content": "import unittest\nimport datetime\nfrom collections import namedtuple\n\nimport numpy as np\n\nfrom Orange.data import Table, Domain, StringVariable, ContinuousVariable, \\\n    DiscreteVariable, TimeVariable\nfrom Orange.widgets.utils.state_summary import format_summary_details\n\nVarDataPair = namedtuple('VarDataPair', ['variable', 'data'])\n\n# Continuous variable variations\ncontinuous_full = VarDataPair(\n    ContinuousVariable('continuous_full'),\n    np.array([0, 1, 2, 3, 4], dtype=float),\n)\ncontinuous_missing = VarDataPair(\n    ContinuousVariable('continuous_missing'),\n    np.array([0, 1, 2, np.nan, 4], dtype=float),\n)\n\n# Unordered discrete variable variations\nrgb_full = VarDataPair(\n    DiscreteVariable('rgb_full', values=('r', 'g', 'b')),\n    np.array([0, 1, 1, 1, 2], dtype=float),\n)\nrgb_missing = VarDataPair(\n    DiscreteVariable('rgb_missing', values=('r', 'g', 'b')),\n    np.array([0, 1, 1, np.nan, 2], dtype=float),\n)\n\n# Ordered discrete variable variations\nints_full = VarDataPair(\n    DiscreteVariable('ints_full', values=('2', '3', '4'), ordered=True),\n    np.array([0, 1, 1, 1, 2], dtype=float),\n)\nints_missing = VarDataPair(\n    DiscreteVariable('ints_missing', values=('2', '3', '4'), ordered=True),\n    np.array([0, 1, 1, np.nan, 2], dtype=float),\n)\n\n\ndef _to_timestamps(years):\n    return [datetime.datetime(year, 1, 1).timestamp() if not np.isnan(year)\n            else np.nan for year in years]\n\n\ntime_full = VarDataPair(\n    TimeVariable('time_full'),\n    np.array(_to_timestamps([2000, 2001, 2002, 2003, 2004]), dtype=float),\n)\ntime_missing = VarDataPair(\n    TimeVariable('time_missing'),\n    np.array(_to_timestamps([2000, np.nan, 2001, 2003, 2004]), dtype=float),\n)\n\n# String variable variations\nstring_full = VarDataPair(\n    StringVariable('string_full'),\n    np.array(['a', 'b', 'c', 'd', 'e'], dtype=object),\n)\nstring_missing = VarDataPair(\n    StringVariable('string_missing'),\n    np.array(['a', 'b', 'c', StringVariable.Unknown, 'e'], dtype=object),\n)\n\n\ndef make_table(attributes, target=None, metas=None):\n    \"\"\"Build an instance of a table given various variables.\n\n    Parameters\n    ----------\n    attributes : Iterable[Tuple[Variable, np.array]\n    target : Optional[Iterable[Tuple[Variable, np.array]]\n    metas : Optional[Iterable[Tuple[Variable, np.array]]\n\n    Returns\n    -------\n    Table\n\n    \"\"\"\n    attribute_vars, attribute_vals = list(zip(*attributes))\n    attribute_vals = np.array(attribute_vals).T\n\n    target_vars, target_vals = None, None\n    if target is not None:\n        target_vars, target_vals = list(zip(*target))\n        target_vals = np.array(target_vals).T\n\n    meta_vars, meta_vals = None, None\n    if metas is not None:\n        meta_vars, meta_vals = list(zip(*metas))\n        meta_vals = np.array(meta_vals).T\n\n    return Table.from_numpy(\n        Domain(attribute_vars, class_vars=target_vars, metas=meta_vars),\n        X=attribute_vals, Y=target_vals, metas=meta_vals,\n    )\n\n\nclass TestUtils(unittest.TestCase):\n    def test_details(self):\n        \"\"\"Check if details part of the summary is formatted correctly\"\"\"\n        data = Table('zoo')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} categorical\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: string'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('housing')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: numeric\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('heart_disease')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(7 categorical, 6 numeric)\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, continuous_missing],\n            target=[rgb_full, rgb_missing], metas=[ints_full, ints_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: {len(data.domain.class_vars)} categorical\\n' \\\n                  f'Metas: {len(data.domain.metas)} categorical'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, time_full, ints_full, rgb_missing],\n            target=[rgb_full, continuous_missing],\n            metas=[string_full, string_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(2 categorical, 1 numeric, 1 time)\\n' \\\n                  f'Target: {len(data.domain.class_vars)} ' \\\n                  f'(1 categorical, 1 numeric)\\n' \\\n                  f'Metas: {len(data.domain.metas)} string'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([time_full, time_missing], target=[ints_missing],\n                          metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} time\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full, ints_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.variables)} categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variable\\n' \\\n                  f'Features: categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = None\n        self.assertEqual('', format_summary_details(data))\n\n\nif __name__ == \"__main__\":\n    unittest.main()\n",
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                            "type": "method",
                            "name": "TestUtils.test_details",
                            "content": "class TestUtils(unittest.TestCase):\n    def test_details(self):\n        \"\"\"Check if details part of the summary is formatted correctly\"\"\"\n        data = Table('zoo')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} categorical\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('housing')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: numeric\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('heart_disease')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(7 categorical, 6 numeric)\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, continuous_missing],\n            target=[rgb_full, rgb_missing], metas=[ints_full, ints_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: {len(data.domain.class_vars)} categorical\\n' \\\n                  f'Metas: {len(data.domain.metas)} categorical'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, time_full, ints_full, rgb_missing],\n            target=[rgb_full, continuous_missing],\n            metas=[string_full, string_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(2 categorical, 1 numeric, 1 time)\\n' \\\n                  f'Target: {len(data.domain.class_vars)} ' \\\n                  f'(1 categorical, 1 numeric)\\n' \\\n                  f'Metas: {len(data.domain.metas)} string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([time_full, time_missing], target=[ints_missing],\n                          metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} time\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full, ints_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.variables)} categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variable\\n' \\\n                  f'Features: categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = None\n        self.assertEqual('', format_summary_details(data))",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 103,
                            "end_lineno": 186,
                            "parent": {
                                "file_name": "Orange/widgets/utils/tests/test_state_summary.py",
                                "type": "class",
                                "name": "TestUtils",
                                "content": "class TestUtils(unittest.TestCase):\n    def test_details(self):\n        \"\"\"Check if details part of the summary is formatted correctly\"\"\"\n        data = Table('zoo')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} categorical\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('housing')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: numeric\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('heart_disease')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(7 categorical, 6 numeric)\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, continuous_missing],\n            target=[rgb_full, rgb_missing], metas=[ints_full, ints_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: {len(data.domain.class_vars)} categorical\\n' \\\n                  f'Metas: {len(data.domain.metas)} categorical'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, time_full, ints_full, rgb_missing],\n            target=[rgb_full, continuous_missing],\n            metas=[string_full, string_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(2 categorical, 1 numeric, 1 time)\\n' \\\n                  f'Target: {len(data.domain.class_vars)} ' \\\n                  f'(1 categorical, 1 numeric)\\n' \\\n                  f'Metas: {len(data.domain.metas)} string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([time_full, time_missing], target=[ints_missing],\n                          metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} time\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full, ints_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.variables)} categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variable\\n' \\\n                  f'Features: categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = None\n        self.assertEqual('', format_summary_details(data))",
                                "ast_type_str": "ClassDef",
                                "start_lineno": 102,
                                "end_lineno": 186,
                                "parent": null
                            }
                        },
                        {
                            "file_name": "Orange/widgets/utils/tests/test_state_summary.py",
                            "type": "class",
                            "name": "TestUtils",
                            "content": "class TestUtils(unittest.TestCase):\n    def test_details(self):\n        \"\"\"Check if details part of the summary is formatted correctly\"\"\"\n        data = Table('zoo')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} categorical\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('housing')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: numeric\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('heart_disease')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(7 categorical, 6 numeric)\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, continuous_missing],\n            target=[rgb_full, rgb_missing], metas=[ints_full, ints_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: {len(data.domain.class_vars)} categorical\\n' \\\n                  f'Metas: {len(data.domain.metas)} categorical'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, time_full, ints_full, rgb_missing],\n            target=[rgb_full, continuous_missing],\n            metas=[string_full, string_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(2 categorical, 1 numeric, 1 time)\\n' \\\n                  f'Target: {len(data.domain.class_vars)} ' \\\n                  f'(1 categorical, 1 numeric)\\n' \\\n                  f'Metas: {len(data.domain.metas)} string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([time_full, time_missing], target=[ints_missing],\n                          metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} time\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full, ints_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.variables)} categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variable\\n' \\\n                  f'Features: categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = None\n        self.assertEqual('', format_summary_details(data))",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 102,
                            "end_lineno": 186,
                            "parent": null
                        }
                    ],
                    "added_entities": [],
                    "deleted_entities": []
                },
                {
                    "descriptor": {
                        "old_range": {
                            "start": 154,
                            "length": 7
                        },
                        "new_range": {
                            "start": 154,
                            "length": 7
                        },
                        "section": "class TestUtils(unittest.TestCase):"
                    },
                    "line_group": {
                        "all_lines": [
                            {
                                "content": "                  f'(2 categorical, 1 numeric, 1 time)\\n' \\",
                                "type": "context"
                            },
                            {
                                "content": "                  f'Target: {len(data.domain.class_vars)} ' \\",
                                "type": "context"
                            },
                            {
                                "content": "                  f'(1 categorical, 1 numeric)\\n' \\",
                                "type": "context"
                            },
                            {
                                "content": "                  f'Metas: {len(data.domain.metas)} string (not shown)'",
                                "type": "deleted"
                            },
                            {
                                "content": "                  f'Metas: {len(data.domain.metas)} string'",
                                "type": "added"
                            },
                            {
                                "content": "        self.assertEqual(details, format_summary_details(data))",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            },
                            {
                                "content": "        data = make_table([time_full, time_missing], target=[ints_missing],",
                                "type": "context"
                            },
                            {
                                "content": "",
                                "type": "context"
                            }
                        ]
                    },
                    "modified_entities": [
                        {
                            "file_name": "Orange/widgets/utils/tests/test_state_summary.py",
                            "type": "method",
                            "name": "TestUtils.test_details",
                            "content": "class TestUtils(unittest.TestCase):\n    def test_details(self):\n        \"\"\"Check if details part of the summary is formatted correctly\"\"\"\n        data = Table('zoo')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} categorical\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('housing')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: numeric\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('heart_disease')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(7 categorical, 6 numeric)\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, continuous_missing],\n            target=[rgb_full, rgb_missing], metas=[ints_full, ints_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: {len(data.domain.class_vars)} categorical\\n' \\\n                  f'Metas: {len(data.domain.metas)} categorical'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, time_full, ints_full, rgb_missing],\n            target=[rgb_full, continuous_missing],\n            metas=[string_full, string_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(2 categorical, 1 numeric, 1 time)\\n' \\\n                  f'Target: {len(data.domain.class_vars)} ' \\\n                  f'(1 categorical, 1 numeric)\\n' \\\n                  f'Metas: {len(data.domain.metas)} string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([time_full, time_missing], target=[ints_missing],\n                          metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} time\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full, ints_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.variables)} categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variable\\n' \\\n                  f'Features: categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = None\n        self.assertEqual('', format_summary_details(data))",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 103,
                            "end_lineno": 186,
                            "parent": {
                                "file_name": "Orange/widgets/utils/tests/test_state_summary.py",
                                "type": "class",
                                "name": "TestUtils",
                                "content": "class TestUtils(unittest.TestCase):\n    def test_details(self):\n        \"\"\"Check if details part of the summary is formatted correctly\"\"\"\n        data = Table('zoo')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} categorical\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('housing')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: numeric\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('heart_disease')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(7 categorical, 6 numeric)\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, continuous_missing],\n            target=[rgb_full, rgb_missing], metas=[ints_full, ints_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: {len(data.domain.class_vars)} categorical\\n' \\\n                  f'Metas: {len(data.domain.metas)} categorical'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, time_full, ints_full, rgb_missing],\n            target=[rgb_full, continuous_missing],\n            metas=[string_full, string_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(2 categorical, 1 numeric, 1 time)\\n' \\\n                  f'Target: {len(data.domain.class_vars)} ' \\\n                  f'(1 categorical, 1 numeric)\\n' \\\n                  f'Metas: {len(data.domain.metas)} string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([time_full, time_missing], target=[ints_missing],\n                          metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} time\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full, ints_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.variables)} categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variable\\n' \\\n                  f'Features: categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = None\n        self.assertEqual('', format_summary_details(data))",
                                "ast_type_str": "ClassDef",
                                "start_lineno": 102,
                                "end_lineno": 186,
                                "parent": null
                            }
                        },
                        {
                            "file_name": "Orange/widgets/utils/tests/test_state_summary.py",
                            "type": "class",
                            "name": "TestUtils",
                            "content": "class TestUtils(unittest.TestCase):\n    def test_details(self):\n        \"\"\"Check if details part of the summary is formatted correctly\"\"\"\n        data = Table('zoo')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} categorical\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('housing')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: numeric\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('heart_disease')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(7 categorical, 6 numeric)\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, continuous_missing],\n            target=[rgb_full, rgb_missing], metas=[ints_full, ints_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: {len(data.domain.class_vars)} categorical\\n' \\\n                  f'Metas: {len(data.domain.metas)} categorical'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, time_full, ints_full, rgb_missing],\n            target=[rgb_full, continuous_missing],\n            metas=[string_full, string_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(2 categorical, 1 numeric, 1 time)\\n' \\\n                  f'Target: {len(data.domain.class_vars)} ' \\\n                  f'(1 categorical, 1 numeric)\\n' \\\n                  f'Metas: {len(data.domain.metas)} string (not shown)'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([time_full, time_missing], target=[ints_missing],\n                          metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} time\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full, ints_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.variables)} categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variable\\n' \\\n                  f'Features: categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = None\n        self.assertEqual('', format_summary_details(data))",
                            "ast_type_str": "ClassDef",
                            "start_lineno": 102,
                            "end_lineno": 186,
                            "parent": null
                        }
                    ],
                    "added_entities": [],
                    "deleted_entities": []
                }
            ]
        }
    ],
    "old_commit_hash": "d61803f7181e7ad525d4bb1dd71ca500bb41617e^",
    "new_commit_hash": "d61803f7181e7ad525d4bb1dd71ca500bb41617e",
    "commit_message": "Merge pull request #4543 from VesnaT/fix_format_variables_string\n\nformat_summary_details: Remove '(not shown)' from metas",
    "commit_date": "2020-03-19T18:12:49+01:00",
    "metadata": {}
}
{
    "repo_name": "orange3",
    "new_commit_hash": "d61803f7181e7ad525d4bb1dd71ca500bb41617e",
    "test_file_codes": [
        "import unittest\nimport datetime\nfrom collections import namedtuple\n\nimport numpy as np\n\nfrom Orange.data import Table, Domain, StringVariable, ContinuousVariable, \\\n    DiscreteVariable, TimeVariable\nfrom Orange.widgets.utils.state_summary import format_summary_details\n\nVarDataPair = namedtuple('VarDataPair', ['variable', 'data'])\n\n# Continuous variable variations\ncontinuous_full = VarDataPair(\n    ContinuousVariable('continuous_full'),\n    np.array([0, 1, 2, 3, 4], dtype=float),\n)\ncontinuous_missing = VarDataPair(\n    ContinuousVariable('continuous_missing'),\n    np.array([0, 1, 2, np.nan, 4], dtype=float),\n)\n\n# Unordered discrete variable variations\nrgb_full = VarDataPair(\n    DiscreteVariable('rgb_full', values=('r', 'g', 'b')),\n    np.array([0, 1, 1, 1, 2], dtype=float),\n)\nrgb_missing = VarDataPair(\n    DiscreteVariable('rgb_missing', values=('r', 'g', 'b')),\n    np.array([0, 1, 1, np.nan, 2], dtype=float),\n)\n\n# Ordered discrete variable variations\nints_full = VarDataPair(\n    DiscreteVariable('ints_full', values=('2', '3', '4'), ordered=True),\n    np.array([0, 1, 1, 1, 2], dtype=float),\n)\nints_missing = VarDataPair(\n    DiscreteVariable('ints_missing', values=('2', '3', '4'), ordered=True),\n    np.array([0, 1, 1, np.nan, 2], dtype=float),\n)\n\n\ndef _to_timestamps(years):\n    return [datetime.datetime(year, 1, 1).timestamp() if not np.isnan(year)\n            else np.nan for year in years]\n\n\ntime_full = VarDataPair(\n    TimeVariable('time_full'),\n    np.array(_to_timestamps([2000, 2001, 2002, 2003, 2004]), dtype=float),\n)\ntime_missing = VarDataPair(\n    TimeVariable('time_missing'),\n    np.array(_to_timestamps([2000, np.nan, 2001, 2003, 2004]), dtype=float),\n)\n\n# String variable variations\nstring_full = VarDataPair(\n    StringVariable('string_full'),\n    np.array(['a', 'b', 'c', 'd', 'e'], dtype=object),\n)\nstring_missing = VarDataPair(\n    StringVariable('string_missing'),\n    np.array(['a', 'b', 'c', StringVariable.Unknown, 'e'], dtype=object),\n)\n\n\ndef make_table(attributes, target=None, metas=None):\n    \"\"\"Build an instance of a table given various variables.\n\n    Parameters\n    ----------\n    attributes : Iterable[Tuple[Variable, np.array]\n    target : Optional[Iterable[Tuple[Variable, np.array]]\n    metas : Optional[Iterable[Tuple[Variable, np.array]]\n\n    Returns\n    -------\n    Table\n\n    \"\"\"\n    attribute_vars, attribute_vals = list(zip(*attributes))\n    attribute_vals = np.array(attribute_vals).T\n\n    target_vars, target_vals = None, None\n    if target is not None:\n        target_vars, target_vals = list(zip(*target))\n        target_vals = np.array(target_vals).T\n\n    meta_vars, meta_vals = None, None\n    if metas is not None:\n        meta_vars, meta_vals = list(zip(*metas))\n        meta_vals = np.array(meta_vals).T\n\n    return Table.from_numpy(\n        Domain(attribute_vars, class_vars=target_vars, metas=meta_vars),\n        X=attribute_vals, Y=target_vals, metas=meta_vals,\n    )\n\n\nclass TestUtils(unittest.TestCase):\n    def test_details(self):\n        \"\"\"Check if details part of the summary is formatted correctly\"\"\"\n        data = Table('zoo')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} categorical\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: string'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('housing')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: numeric\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = Table('heart_disease')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(7 categorical, 6 numeric)\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, continuous_missing],\n            target=[rgb_full, rgb_missing], metas=[ints_full, ints_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} numeric\\n' \\\n                  f'Target: {len(data.domain.class_vars)} categorical\\n' \\\n                  f'Metas: {len(data.domain.metas)} categorical'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table(\n            [continuous_full, time_full, ints_full, rgb_missing],\n            target=[rgb_full, continuous_missing],\n            metas=[string_full, string_missing]\n        )\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} ' \\\n                  f'(2 categorical, 1 numeric, 1 time)\\n' \\\n                  f'Target: {len(data.domain.class_vars)} ' \\\n                  f'(1 categorical, 1 numeric)\\n' \\\n                  f'Metas: {len(data.domain.metas)} string'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([time_full, time_missing], target=[ints_missing],\n                          metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} time\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full, ints_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variables\\n' \\\n                  f'Features: {len(data.domain.variables)} categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = make_table([rgb_full], target=None, metas=None)\n        details = f'{len(data)} instances, ' \\\n                  f'{len(data.domain.variables)} variable\\n' \\\n                  f'Features: categorical\\n' \\\n                  f'Target: —\\n' \\\n                  f'Metas: —'\n        self.assertEqual(details, format_summary_details(data))\n\n        data = None\n        self.assertEqual('', format_summary_details(data))\n\n\nif __name__ == \"__main__\":\n    unittest.main()\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/tmpj01efjbd/tmp\ncreating /tmp/tmpj01efjbd/tmp/tmpj01efjbd\ncompile options: '-MMD -MF /tmp/tmpj01efjbd/file.c.d -c'\ncc: /tmp/tmpj01efjbd/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/tmpbd8bs7oa/tmp\ncreating /tmp/tmpbd8bs7oa/tmp/tmpbd8bs7oa\ncompile options: '-MMD -MF /tmp/tmpbd8bs7oa/file.c.d -c'\ncc: /tmp/tmpbd8bs7oa/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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include -I/home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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/tmp9y8eqmxu/tmp\ncreating /tmp/tmp9y8eqmxu/tmp/tmp9y8eqmxu\ncompile options: '-MMD -MF /tmp/tmp9y8eqmxu/file.c.d -c'\ncc: /tmp/tmp9y8eqmxu/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/tmptctaapvu/tmp\ncreating /tmp/tmptctaapvu/tmp/tmptctaapvu\ncompile options: '-MMD -MF /tmp/tmptctaapvu/file.c.d -c'\ncc: /tmp/tmptctaapvu/file.c\ncustomize UnixCCompiler using build_ext\nCreating /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/Orange3.egg-link (link to .)\nAdding Orange3 3.25.0.dev0+d61803f to easy-install.pth file\nInstalling orange-canvas script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\n\nInstalled /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e\nProcessing dependencies for Orange3==3.25.0.dev0+d61803f\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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\nInstalling pip3 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\nInstalling pip3.10 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\nInstalling f2py3 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\nInstalling f2py3.7 script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\nInstalling pyftmerge script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\nInstalling pyftsubset script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\nInstalling ttx script to /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/bin\n\nUsing /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages\nFinished processing dependencies for Orange3==3.25.0.dev0+d61803f\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 123ms\nPrepared 18 packages in 24ms\nInstalled 18 packages in 687ms\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 255ms\nInstalled 42 packages in 337ms\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 163ms\nInstalled 13 packages in 103ms\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 7ms\nInstalled 2 packages in 19ms\n + psycopg2==2.9.9\n + pymssql==2.3.2\nAudited 1 package in 31ms\nAudited 2 packages in 1ms\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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1830,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.venv/lib/python3.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\n                 from /home/gcpuser/buckets/local_repoeval_bucket/repos/orange3_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e/.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_d61803f7181e7ad525d4bb1dd71ca500bb41617e\ncollected 1 item\n\nr2e_tests/test_1.py .                                                    [100%]\n\n==================================== PASSES ====================================\n=========================== short test summary info ============================\nPASSED r2e_tests/test_1.py::TestUtils::test_details\n============================== 1 passed in 2.00s ===============================\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_d61803f7181e7ad525d4bb1dd71ca500bb41617e\ncollected 1 item\n\nr2e_tests/test_1.py F                                                    [100%]\n\n=================================== FAILURES ===================================\n____________________________ TestUtils.test_details ____________________________\n\nself = <r2e_tests.test_1.TestUtils testMethod=test_details>\n\n    def test_details(self):\n        \"\"\"Check if details part of the summary is formatted correctly\"\"\"\n        data = Table('zoo')\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = f'{len(data)} instances, ' \\\n                  f'{n_features} variables\\n' \\\n                  f'Features: {len(data.domain.attributes)} categorical\\n' \\\n                  f'Target: categorical\\n' \\\n                  f'Metas: string'\n>       self.assertEqual(details, format_summary_details(data))\nE       AssertionError: '101 [35 chars]16 categorical\\nTarget: categorical\\nMetas: string' != '101 [35 chars]16 categorical\\nTarget: categorical\\nMetas: string (not shown)'\nE         101 instances, 18 variables\nE         Features: 16 categorical\nE         Target: categorical\nE       - Metas: string+ Metas: string (not shown)\n\nr2e_tests/test_1.py:112: AssertionError\n=========================== short test summary info ============================\nFAILED r2e_tests/test_1.py::TestUtils::test_details - AssertionError: '101 [3...\n============================== 1 failed in 1.67s ===============================\n",
    "old_commit_res_stderr": ""
}
Orange/widgets/utils/state_summary.py Orange/widgets/utils/tests/test_state_summary.py
We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
[ISSUE]
**Title:** Metas summary incorrectly includes "(not shown)" in summary details

**Description:**
When generating summary details for a data table, the metas are displayed with an unnecessary "(not shown)" suffix. This results in an inaccurate representation of metadata information.

**Example Code:**
```python
data = Table('zoo')
details = format_summary_details(data)
print(details)
```

**Expected Behavior:**
The metas should be displayed without the "(not shown)" suffix:
```
101 instances, 18 variables
Features: 16 categorical
Target: categorical
Metas: string
```

**Actual Behavior:**
The metas are displayed with "(not shown)":
```
101 instances, 18 variables
Features: 16 categorical
Target: categorical
Metas: string (not shown)
```
[/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/utils/state_summary.py
from Orange.data import StringVariable, DiscreteVariable, ContinuousVariable, \
    TimeVariable


def format_variables_string(variables):
    """
    A function that formats the descriptive part of the input/output summary for
    either features, targets or metas of the input dataset.

    :param variables: Features, targets or metas of the input dataset
    :return: A formatted string
    """
    if not variables:
        return '—'

    agg = []
    for var_type_name, var_type in [('categorical', DiscreteVariable),
                                    ('numeric', ContinuousVariable),
                                    ('time', TimeVariable),
                                    ('string', StringVariable)]:
        # Disable pylint here because a `TimeVariable` is also a
        # `ContinuousVariable`, and should be labelled as such. That is why
        # it is necessary to check the type this way instead of using
        # `isinstance`, which would fail in the above case
        var_type_list = [v for v in variables if type(v) is var_type]  # pylint: disable=unidiomatic-typecheck
        if var_type_list:
            not_shown = ' (not shown)' if issubclass(var_type, StringVariable)\
                else ''
            agg.append((f'{var_type_name}{not_shown}', len(var_type_list)))

    attrs, counts = list(zip(*agg))
    if len(attrs) > 1:
        var_string = [f'{i} {j}' for i, j in zip(counts, attrs)]
        var_string = f'{sum(counts)} ({", ".join(var_string)})'
    elif counts[0] == 1:
        var_string = attrs[0]
    else:
        var_string = f'{counts[0]} {attrs[0]}'
    return var_string


def format_summary_details(data):
    """
    A function that forms the entire descriptive part of the input/output
    summary.

    :param data: A dataset
    :type data: Orange.data.Table
    :return: A formatted string
    """
    def _plural(number):
        return 's' * (number != 1)

    details = ''
    if data:
        features = format_variables_string(data.domain.attributes)
        targets = format_variables_string(data.domain.class_vars)
        metas = format_variables_string(data.domain.metas)

        n_features = len(data.domain.variables) + len(data.domain.metas)
        details = \
            f'{len(data)} instance{_plural(len(data))}, ' \
            f'{n_features} variable{_plural(n_features)}\n' \
            f'Features: {features}\nTarget: {targets}\nMetas: {metas}'

    return details

```
--- 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:** Metas summary incorrectly includes "(not shown)" in summary details

**Description:**
When generating summary details for a data table, the metas are displayed with an unnecessary "(not shown)" suffix. This results in an inaccurate representation of metadata information.

**Example Code:**
```python
data = Table('zoo')
details = format_summary_details(data)
print(details)
```

**Expected Behavior:**
The metas should be displayed without the "(not shown)" suffix:
```
101 instances, 18 variables
Features: 16 categorical
Target: categorical
Metas: string
```

**Actual Behavior:**
The metas are displayed with "(not shown)":
```
101 instances, 18 variables
Features: 16 categorical
Target: categorical
Metas: string (not shown)
```
[/ISSUE]
{
    "TestUtils.test_details": "PASSED"
}
diff --git a/Orange/widgets/utils/state_summary.py b/Orange/widgets/utils/state_summary.py
index c43f14864..b77bf8cd1 100644
--- a/Orange/widgets/utils/state_summary.py
+++ b/Orange/widgets/utils/state_summary.py
@@ -24,9 +24,7 @@ def format_variables_string(variables):
         # `isinstance`, which would fail in the above case
         var_type_list = [v for v in variables if type(v) is var_type]  # pylint: disable=unidiomatic-typecheck
         if var_type_list:
-            not_shown = ' (not shown)' if issubclass(var_type, StringVariable)\
-                else ''
-            agg.append((f'{var_type_name}{not_shown}', len(var_type_list)))
+            agg.append((var_type_name, len(var_type_list)))
 
     attrs, counts = list(zip(*agg))
     if len(attrs) > 1:

{"Orange/widgets/utils/state_summary.py": "from Orange.data import StringVariable, DiscreteVariable, ContinuousVariable, \\\n    TimeVariable\n\n\ndef format_variables_string(variables):\n    \"\"\"\n    A function that formats the descriptive part of the input/output summary for\n    either features, targets or metas of the input dataset.\n\n    :param variables: Features, targets or metas of the input dataset\n    :return: A formatted string\n    \"\"\"\n    if not variables:\n        return '\u2014'\n\n    agg = []\n    for var_type_name, var_type in [('categorical', DiscreteVariable),\n                                    ('numeric', ContinuousVariable),\n                                    ('time', TimeVariable),\n                                    ('string', StringVariable)]:\n        # Disable pylint here because a `TimeVariable` is also a\n        # `ContinuousVariable`, and should be labelled as such. That is why\n        # it is necessary to check the type this way instead of using\n        # `isinstance`, which would fail in the above case\n        var_type_list = [v for v in variables if type(v) is var_type]  # pylint: disable=unidiomatic-typecheck\n        if var_type_list:\n            not_shown = ' (not shown)' if issubclass(var_type, StringVariable)\\\n                else ''\n            agg.append((f'{var_type_name}{not_shown}', len(var_type_list)))\n\n    attrs, counts = list(zip(*agg))\n    if len(attrs) > 1:\n        var_string = [f'{i} {j}' for i, j in zip(counts, attrs)]\n        var_string = f'{sum(counts)} ({\", \".join(var_string)})'\n    elif counts[0] == 1:\n        var_string = attrs[0]\n    else:\n        var_string = f'{counts[0]} {attrs[0]}'\n    return var_string\n\n\ndef format_summary_details(data):\n    \"\"\"\n    A function that forms the entire descriptive part of the input/output\n    summary.\n\n    :param data: A dataset\n    :type data: Orange.data.Table\n    :return: A formatted string\n    \"\"\"\n    def _plural(number):\n        return 's' * (number != 1)\n\n    details = ''\n    if data:\n        features = format_variables_string(data.domain.attributes)\n        targets = format_variables_string(data.domain.class_vars)\n        metas = format_variables_string(data.domain.metas)\n\n        n_features = len(data.domain.variables) + len(data.domain.metas)\n        details = \\\n            f'{len(data)} instance{_plural(len(data))}, ' \\\n            f'{n_features} variable{_plural(n_features)}\\n' \\\n            f'Features: {features}\\nTarget: {targets}\\nMetas: {metas}'\n\n    return details\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:** Metas summary incorrectly includes "(not shown)" in summary details

**Description:**
When generating summary details for a data table, the metas are displayed with an unnecessary "(not shown)" suffix. This results in an inaccurate representation of metadata information.

**Example Code:**
```python
data = Table('zoo')
details = format_summary_details(data)
print(details)
```

**Expected Behavior:**
The metas should be displayed without the "(not shown)" suffix:
```
101 instances, 18 variables
Features: 16 categorical
Target: categorical
Metas: string
```

**Actual Behavior:**
The metas are displayed with "(not shown)":
```
101 instances, 18 variables
Features: 16 categorical
Target: categorical
Metas: string (not shown)
```
[/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/utils/state_summary.py
from Orange.data import StringVariable, DiscreteVariable, ContinuousVariable, \
    TimeVariable


def format_variables_string(variables):
    """
    A function that formats the descriptive part of the input/output summary for
    either features, targets or metas of the input dataset.

    :param variables: Features, targets or metas of the input dataset
    :return: A formatted string
    """
    if not variables:
        return '—'

    agg = []
    for var_type_name, var_type in [('categorical', DiscreteVariable),
                                    ('numeric', ContinuousVariable),
                                    ('time', TimeVariable),
                                    ('string', StringVariable)]:
        # Disable pylint here because a `TimeVariable` is also a
        # `ContinuousVariable`, and should be labelled as such. That is why
        # it is necessary to check the type this way instead of using
        # `isinstance`, which would fail in the above case
        var_type_list = [v for v in variables if type(v) is var_type]  # pylint: disable=unidiomatic-typecheck
        if var_type_list:
            not_shown = ' (not shown)' if issubclass(var_type, StringVariable)\
                else ''
            agg.append((f'{var_type_name}{not_shown}', len(var_type_list)))

    attrs, counts = list(zip(*agg))
    if len(attrs) > 1:
        var_string = [f'{i} {j}' for i, j in zip(counts, attrs)]
        var_string = f'{sum(counts)} ({", ".join(var_string)})'
    elif counts[0] == 1:
        var_string = attrs[0]
    else:
        var_string = f'{counts[0]} {attrs[0]}'
    return var_string


def format_summary_details(data):
    """
    A function that forms the entire descriptive part of the input/output
    summary.

    :param data: A dataset
    :type data: Orange.data.Table
    :return: A formatted string
    """
    def _plural(number):
        return 's' * (number != 1)

    details = ''
    if data:
        features = format_variables_string(data.domain.attributes)
        targets = format_variables_string(data.domain.class_vars)
        metas = format_variables_string(data.domain.metas)

        n_features = len(data.domain.variables) + len(data.domain.metas)
        details = \
            f'{len(data)} instance{_plural(len(data))}, ' \
            f'{n_features} variable{_plural(n_features)}\n' \
            f'Features: {features}\nTarget: {targets}\nMetas: {metas}'

    return details

```
--- 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