Python operator.le方法代碼示例

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def test_richcompare_crash(self):
        # gh-4613
        import operator as op

        # dummy class where __array__ throws exception
        class Foo(object):
            __array_priority__ = 1002

            def __array__(self, *args, **kwargs):
                raise Exception()

        rhs = Foo()
        lhs = np.array(1)
        for f in [op.lt, op.le, op.gt, op.ge]:
            if sys.version_info[0] >= 3:
                assert_raises(TypeError, f, lhs, rhs)
            elif not sys.py3kwarning:
                # With -3 switch in python 2, DeprecationWarning is raised
                # which we are not interested in
                f(lhs, rhs)
        assert_(not op.eq(lhs, rhs))
        assert_(op.ne(lhs, rhs)) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def test_compare_frame(self):
        # GH#24282 check that Categorical.__cmp__(DataFrame) defers to frame
        data = ["a", "b", 2, "a"]
        cat = Categorical(data)

        df = DataFrame(cat)

        for op in [operator.eq, operator.ne, operator.ge,
                   operator.gt, operator.le, operator.lt]:
            with pytest.raises(ValueError):
                # alignment raises unless we transpose
                op(cat, df)

        result = cat == df.T
        expected = DataFrame([[True, True, True, True]])
        tm.assert_frame_equal(result, expected)

        result = cat[::-1] != df.T
        expected = DataFrame([[False, True, True, False]])
        tm.assert_frame_equal(result, expected) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def test_comparison_flex_basic(self):
        left = pd.Series(np.random.randn(10))
        right = pd.Series(np.random.randn(10))

        tm.assert_series_equal(left.eq(right), left == right)
        tm.assert_series_equal(left.ne(right), left != right)
        tm.assert_series_equal(left.le(right), left < right)
        tm.assert_series_equal(left.lt(right), left <= right)
        tm.assert_series_equal(left.gt(right), left > right)
        tm.assert_series_equal(left.ge(right), left >= right)

        # axis
        for axis in [0, None, 'index']:
            tm.assert_series_equal(left.eq(right, axis=axis), left == right)
            tm.assert_series_equal(left.ne(right, axis=axis), left != right)
            tm.assert_series_equal(left.le(right, axis=axis), left < right)
            tm.assert_series_equal(left.lt(right, axis=axis), left <= right)
            tm.assert_series_equal(left.gt(right, axis=axis), left > right)
            tm.assert_series_equal(left.ge(right, axis=axis), left >= right)

        #
        msg = 'No axis named 1 for object type'
        for op in ['eq', 'ne', 'le', 'le', 'gt', 'ge']:
            with pytest.raises(ValueError, match=msg):
                getattr(left, op)(right, axis=1) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def _get_nearest_indexer(self, target, limit, tolerance):
        """
        Get the indexer for the nearest index labels; requires an index with
        values that can be subtracted from each other (e.g., not strings or
        tuples).
        """
        left_indexer = self.get_indexer(target, 'pad', limit=limit)
        right_indexer = self.get_indexer(target, 'backfill', limit=limit)

        target = np.asarray(target)
        left_distances = abs(self.values[left_indexer] - target)
        right_distances = abs(self.values[right_indexer] - target)

        op = operator.lt if self.is_monotonic_increasing else operator.le
        indexer = np.where(op(left_distances, right_distances) |
                           (right_indexer == -1), left_indexer, right_indexer)
        if tolerance is not None:
            indexer = self._filter_indexer_tolerance(target, indexer,
                                                     tolerance)
        return indexer 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def is_sorted(iterable, key=None, reverse=False, distinct=False):
    if key is None:
        key = identity
    if reverse:
        if distinct:
            if isinstance(iterable, range) and iterable.step < 0:
                return True
            op = operator.gt
        else:
            op = operator.ge
    else:
        if distinct:
            if isinstance(iterable, range) and iterable.step > 0:
                return True
            if isinstance(iterable, SortedFrozenSet):
                return True
            op = operator.lt
        else:
            op = operator.le
    return all(op(a, b) for a, b in pairwise(map(key, iterable))) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def get_op(cls, op):
        ops = {
            symbol.test: cls.test,
            symbol.and_test: cls.and_test,
            symbol.atom: cls.atom,
            symbol.comparison: cls.comparison,
            'not in': lambda x, y: x not in y,
            'in': lambda x, y: x in y,
            '==': operator.eq,
            '!=': operator.ne,
            '<':  operator.lt,
            '>':  operator.gt,
            '<=': operator.le,
            '>=': operator.ge,
        }
        if hasattr(symbol, 'or_test'):
            ops[symbol.or_test] = cls.test
        return ops[op] 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def _filter_range_index(pd_range_index, min_val, min_val_close, max_val, max_val_close):
    if is_pd_range_empty(pd_range_index):
        return pd_range_index

    raw_min, raw_max, step = pd_range_index.min(), pd_range_index.max(), _get_range_index_step(pd_range_index)

    # seek min range
    greater_func = operator.gt if min_val_close else operator.ge
    actual_min = raw_min
    while greater_func(min_val, actual_min):
        actual_min += abs(step)
    if step < 0:
        actual_min += step  # on the right side

    # seek max range
    less_func = operator.lt if max_val_close else operator.le
    actual_max = raw_max
    while less_func(max_val, actual_max):
        actual_max -= abs(step)
    if step > 0:
        actual_max += step  # on the right side

    if step > 0:
        return pd.RangeIndex(actual_min, actual_max, step)
    return pd.RangeIndex(actual_max, actual_min, step) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def testBigComplexComparisons(self):
        self.assertFalse(F(10**23) == complex(10**23))
        self.assertRaises(TypeError, operator.gt, F(10**23), complex(10**23))
        self.assertRaises(TypeError, operator.le, F(10**23), complex(10**23))

        x = F(3, 8)
        z = complex(0.375, 0.0)
        w = complex(0.375, 0.2)
        self.assertTrue(x == z)
        self.assertFalse(x != z)
        self.assertFalse(x == w)
        self.assertTrue(x != w)
        for op in operator.lt, operator.le, operator.gt, operator.ge:
            self.assertRaises(TypeError, op, x, z)
            self.assertRaises(TypeError, op, z, x)
            self.assertRaises(TypeError, op, x, w)
            self.assertRaises(TypeError, op, w, x) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def test_values(self):
        # check all operators and all comparison results
        self.checkvalue("lt", 0, 0, False)
        self.checkvalue("le", 0, 0, True )
        self.checkvalue("eq", 0, 0, True )
        self.checkvalue("ne", 0, 0, False)
        self.checkvalue("gt", 0, 0, False)
        self.checkvalue("ge", 0, 0, True )

        self.checkvalue("lt", 0, 1, True )
        self.checkvalue("le", 0, 1, True )
        self.checkvalue("eq", 0, 1, False)
        self.checkvalue("ne", 0, 1, True )
        self.checkvalue("gt", 0, 1, False)
        self.checkvalue("ge", 0, 1, False)

        self.checkvalue("lt", 1, 0, False)
        self.checkvalue("le", 1, 0, False)
        self.checkvalue("eq", 1, 0, False)
        self.checkvalue("ne", 1, 0, True )
        self.checkvalue("gt", 1, 0, True )
        self.checkvalue("ge", 1, 0, True ) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def test_dicts(self):
        # Verify that __eq__ and __ne__ work for dicts even if the keys and
        # values don't support anything other than __eq__ and __ne__ (and
        # __hash__).  Complex numbers are a fine example of that.
        import random
        imag1a = {}
        for i in range(50):
            imag1a[random.randrange(100)*1j] = random.randrange(100)*1j
        items = imag1a.items()
        random.shuffle(items)
        imag1b = {}
        for k, v in items:
            imag1b[k] = v
        imag2 = imag1b.copy()
        imag2[k] = v + 1.0
        self.assertTrue(imag1a == imag1a)
        self.assertTrue(imag1a == imag1b)
        self.assertTrue(imag2 == imag2)
        self.assertTrue(imag1a != imag2)
        for opname in ("lt", "le", "gt", "ge"):
            for op in opmap[opname]:
                self.assertRaises(TypeError, op, imag1a, imag2) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def test_richcompare_crash(self):
        # gh-4613
        import operator as op

        # dummy class where __array__ throws exception
        class Foo(object):
            __array_priority__ = 1002

            def __array__(self,*args,**kwargs):
                raise Exception()

        rhs = Foo()
        lhs = np.array(1)
        for f in [op.lt, op.le, op.gt, op.ge]:
            if sys.version_info[0] >= 3:
                assert_raises(TypeError, f, lhs, rhs)
            else:
                f(lhs, rhs)
        assert_(not op.eq(lhs, rhs))
        assert_(op.ne(lhs, rhs)) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def op(operation, column):
    if operation == 'in':
        def comparator(column, v):
            return column.in_(v)
    elif operation == 'like':
        def comparator(column, v):
            return column.like(v + '%')
    elif operation == 'eq':
        comparator = _operator.eq
    elif operation == 'ne':
        comparator = _operator.ne
    elif operation == 'le':
        comparator = _operator.le
    elif operation == 'lt':
        comparator = _operator.lt
    elif operation == 'ge':
        comparator = _operator.ge
    elif operation == 'gt':
        comparator = _operator.gt
    else:
        raise ValueError('Operation {} not supported'.format(operation))
    return comparator


# TODO: fix comparators, keys should be something better 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def add_globals(self):
    "Add some Scheme standard procedures."
    import math, cmath, operator as op
    from functools import reduce
    self.update(vars(math))
    self.update(vars(cmath))
    self.update({
     '+':op.add, '-':op.sub, '*':op.mul, '/':op.itruediv, 'níl':op.not_, 'agus':op.and_,
     '>':op.gt, '<':op.lt, '>=':op.ge, '<=':op.le, '=':op.eq, 'mod':op.mod, 
     'frmh':cmath.sqrt, 'dearbhluach':abs, 'uas':max, 'íos':min,
     'cothrom_le?':op.eq, 'ionann?':op.is_, 'fad':len, 'cons':cons,
     'ceann':lambda x:x[0], 'tóin':lambda x:x[1:], 'iarcheangail':op.add,  
     'liosta':lambda *x:list(x), 'liosta?': lambda x:isa(x,list),
     'folamh?':lambda x: x == [], 'adamh?':lambda x: not((isa(x, list)) or (x == None)),
     'boole?':lambda x: isa(x, bool), 'scag':lambda f, x: list(filter(f, x)),
     'cuir_le':lambda proc,l: proc(*l), 'mapáil':lambda p, x: list(map(p, x)), 
     'lódáil':lambda fn: load(fn), 'léigh':lambda f: f.read(),
     'oscail_comhad_ionchuir':open,'dún_comhad_ionchuir':lambda p: p.file.close(), 
     'oscail_comhad_aschur':lambda f:open(f,'w'), 'dún_comhad_aschur':lambda p: p.close(),
     'dac?':lambda x:x is eof_object, 'luacháil':lambda x: evaluate(x),
     'scríobh':lambda x,port=sys.stdout:port.write(to_string(x) + '\n')})
    return self 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def operator_le(self, app_data, test_data):
        """Compare app data is less than or equal to tests data.

        Args:
            app_data (dict, list, str): The data created by the App.
            test_data (dict, list, str): The data provided in the test case.

        Returns:
            bool, str: The results of the operator and any error message
        """
        if app_data is None:
            return False, 'Invalid app_data: {app_data}'
        if test_data is None:
            return False, 'Invalid test_data: {test_data}'

        app_data = self._string_to_int_float(app_data)
        test_data = self._string_to_int_float(test_data)
        results = operator.le(app_data, test_data)
        details = ''
        if not results:
            details = f'{app_data} {type(app_data)} !(<=) {test_data} {type(test_data)}'
        return results, details 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import le [as 別名]
def test_comparison_flex_alignment(self):
        left = Series([1, 3, 2], index=list('abc'))
        right = Series([2, 2, 2], index=list('bcd'))

        exp = pd.Series([False, False, True, False], index=list('abcd'))
        assert_series_equal(left.eq(right), exp)

        exp = pd.Series([True, True, False, True], index=list('abcd'))
        assert_series_equal(left.ne(right), exp)

        exp = pd.Series([False, False, True, False], index=list('abcd'))
        assert_series_equal(left.le(right), exp)

        exp = pd.Series([False, False, False, False], index=list('abcd'))
        assert_series_equal(left.lt(right), exp)

        exp = pd.Series([False, True, True, False], index=list('abcd'))
        assert_series_equal(left.ge(right), exp)

        exp = pd.Series([False, True, False, False], index=list('abcd'))
        assert_series_equal(left.gt(right), exp)