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How to use deep_equals method in Sure

Best Python code snippet using sure_python

stub_predicate.py

Source:stub_predicate.py

...98        :type equals: object99        """100        self._equals = equals101    @property102    def deep_equals(self):103        """Gets the deep_equals of this StubPredicate.  # noqa: E501104        :return: The deep_equals of this StubPredicate.  # noqa: E501105        :rtype: object106        """107        return self._deep_equals108    @deep_equals.setter109    def deep_equals(self, deep_equals):110        """Sets the deep_equals of this StubPredicate.111        :param deep_equals: The deep_equals of this StubPredicate.  # noqa: E501112        :type deep_equals: object113        """114        self._deep_equals = deep_equals115    @property116    def contains(self):117        """Gets the contains of this StubPredicate.  # noqa: E501118        :return: The contains of this StubPredicate.  # noqa: E501119        :rtype: object120        """121        return self._contains122    @contains.setter123    def contains(self, contains):...

reader_test.py

Source:reader_test.py

...6import topcoder as tc7class ReaderTest(unittest.TestCase):8    def setUp(self):9        pass10    def test_deep_equals(self):11        self.assertTrue(deep_equals([], []))12        self.assertTrue(deep_equals([123], [123]))13        self.assertFalse(deep_equals([123], [123, 456]))14        self.assertTrue(deep_equals([[123], [1, 2, 3]], [[123], [1, 2, 3]]))15    def test_unsupported_type(self):16        reader = tc.Reader("whatever")17        with self.assertRaises(tc.UnsupportedType):18            reader.next("object")19    def test_read_boolean(self):20        reader = tc.Reader("true")21        flag = reader.next("boolean")22        self.assertEqual(flag, True)23        reader = tc.Reader("false")24        flag = reader.next("boolean")25        self.assertEqual(flag, False)26    def test_read_boolean_error(self):27        reader = tc.Reader("lol")28        with self.assertRaises(tc.ParseError):29            flag = reader.next("boolean")30    def test_read_positive_int(self):31        reader = tc.Reader("20.14")32        number = reader.next("int")33        self.assertEqual(number, 20)34    def test_read_negative_int(self):35        reader = tc.Reader("-1")36        number = reader.next("int")37        self.assertEqual(number, -1)38    def test_read_int_error(self):39        reader = tc.Reader("NaN")40        with self.assertRaises(tc.ParseError):41            number = reader.next("int")42    def test_read_long(self):43        reader = tc.Reader("1234567890123456789")44        number = reader.next("long")45        self.assertEqual(number, 1234567890123456789)46    def test_read_positive_float(self):47        reader = tc.Reader("20.14")48        number = reader.next("float")49        self.assertEqual(number, 20.14)50    def test_read_negative_float(self):51        reader = tc.Reader("-2")52        number = reader.next("float")53        self.assertEqual(number, -2)54    def test_read_quoted_char(self):55        reader = tc.Reader("'@'")56        character = reader.next("char")57        self.assertEqual(character, '@')58    def test_read_unquoted_char(self):59        reader = tc.Reader("@")60        character = reader.next("char")61        self.assertEqual(character, '@')62    def test_read_char_error(self):63        reader = tc.Reader("'@ '")64        with self.assertRaises(tc.ParseError):65            number = reader.next("char")66    def test_read_string(self):67        reader = tc.Reader('"Eddard Stark"')68        name = reader.next("String")69        self.assertEqual(name, "Eddard Stark")70    def test_read_string_error(self):71        reader = tc.Reader('"Eddard Stark')72        with self.assertRaises(tc.ParseError):73            name = reader.next("String")74        reader = tc.Reader('Eddard Stark"')75        with self.assertRaises(tc.ParseError):76            name = reader.next("String")77    def test_read_string_with_quote(self):78        reader = tc.Reader('"Eddard "Ned"", "Stark"')79        name = reader.next("String")80        self.assertEqual(name, 'Eddard "Ned"')81    def test_read_empty_array (self):82        reader = tc.Reader("[]")83        arr = reader.next("int[]")84    def test_read_array(self):85        reader = tc.Reader("[2, 3, 1, 4, 6, 5]")86        arr = reader.next("int[]")87        self.assertTrue(deep_equals(arr, [2, 3, 1, 4, 6, 5]))88    def test_read_array_2d(self):89        reader = tc.Reader('[ ["abc", "def"], ["foo", "bar"] ]')90        arr = reader.next("String[][]")91        self.assertTrue(deep_equals(arr, [["abc", "def"], ["foo", "bar"]]))92    def test_read_everything(self):93        text = """94            [ [ "Jon Snow"95              , "Lord Varys"96              , "The "Little Finger"" ]97            , [ ] ]98            , C, 20.14, fAlSe, 'X'99            , [ -2 , 0 , 1 , 4 ]100        """101        reader = tc.Reader(text)102        self.assertTrue(deep_equals(reader.next("String[][]"), 103                        [["Jon Snow", "Lord Varys", 'The "Little Finger"'], []]))104        reader.next()105        self.assertEqual(reader.next("char"), 'C')106        reader.next()107        self.assertEqual(reader.next("double"), 20.14)108        reader.next()109        self.assertEqual(reader.next("boolean"), False)110        reader.next()111        self.assertEqual(reader.next("char"), 'X')112        reader.next()113        self.assertEqual(reader.next("int[]"), [-2, 0, 1, 4])114if __name__ == "__main__":...

deep_equals.py

Source:deep_equals.py

...8__author__ = ["fkiraly"]9__all__ = ["deep_equals"]10import numpy as np11import pandas as pd12def deep_equals(x, y):13    """Test two objects for equality in value.14    Correct if x/y are one of the following valid types:15        types compatible with != comparison16        pd.Series, pd.DataFrame, np.ndarray17        lists, tuples, or dicts of a valid type (recursive)18    Parameters19    ----------20    x: object21    y: object22    Returns23    -------24    bool - True if x and y are equal in value25        x and y do not need to be equal in reference26    """27    if type(x) != type(y):28        return False29    # we now know all types are the same30    # so now we compare values31    if isinstance(x, pd.Series):32        if x.dtype != y.dtype:33            return False34        # if columns are object, recurse over entries and index35        if x.dtype == "object":36            index_equal = x.index.equals(y.index)37            return index_equal and deep_equals(list(x.values), list(y.values))38        else:39            return x.equals(y)40    elif isinstance(x, pd.DataFrame):41        if not x.columns.equals(y.columns):42            return False43        # if columns are equal and at least one is object, recurse over Series44        if sum(x.dtypes == "object") > 0:45            return np.all([deep_equals(x[c], y[c]) for c in x.columns])46        else:47            return x.equals(y)48    elif isinstance(x, np.ndarray):49        if x.dtype != y.dtype:50            return False51        return np.array_equal(x, y, equal_nan=True)52    # recursion through lists, tuples and dicts53    elif isinstance(x, (list, tuple)):54        return _tuple_equals(x, y)55    elif isinstance(x, dict):56        return _dict_equals(x, y)57    elif x != y:58        return False59    return True60def _tuple_equals(x, y):61    """Test two tuples or lists for equality.62    Correct if tuples/lists contain the following valid types:63        types compatible with != comparison64        pd.Series, pd.DataFrame, np.ndarray65        lists, tuples, or dicts of a valid type (recursive)66    Parameters67    ----------68    x: tuple or list69    y: tuple or list70    Returns71    -------72    bool - True if x and y are equal in value73        x and y do not need to be equal in reference74    """75    n = len(x)76    if n != len(y):77        return False78    # we now know dicts are same length79    for i in range(n):80        xi = x[i]81        yi = y[i]82        # recurse through xi/yi83        if not deep_equals(xi, yi):84            return False85    return True86def _dict_equals(x, y):87    """Test two dicts for equality.88    Correct if dicts contain the following valid types:89        types compatible with != comparison90        pd.Series, pd.DataFrame, np.ndarray91        lists, tuples, or dicts of a valid type (recursive)92    Parameters93    ----------94    x: dict95    y: dict96    Returns97    -------98    bool - True if x and y have equal keys and values99    """100    xkeys = set(x.keys())101    ykeys = set(y.keys())102    if xkeys != ykeys:103        return False104    # we now know all keys are the same105    for key in xkeys:106        xi = x[key]107        yi = y[key]108        # recurse through xi/yi109        if not deep_equals(xi, yi):110            return False...

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