Python operator.sub方法代碼示例

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def test_safe_binop():
    # Test checked arithmetic routines

    ops = [
        (operator.add, 1),
        (operator.sub, 2),
        (operator.mul, 3)
    ]

    with exc_iter(ops, INT64_VALUES, INT64_VALUES) as it:
        for xop, a, b in it:
            pyop, op = xop
            c = pyop(a, b)

            if not (INT64_MIN <= c <= INT64_MAX):
                assert_raises(OverflowError, mt.extint_safe_binop, a, b, op)
            else:
                d = mt.extint_safe_binop(a, b, op)
                if c != d:
                    # assert_equal is slow
                    assert_equal(d, c) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def test_sub(Poly):
    # This checks commutation, not numerical correctness
    c1 = list(random((4,)) + .5)
    c2 = list(random((3,)) + .5)
    p1 = Poly(c1)
    p2 = Poly(c2)
    p3 = p1 - p2
    assert_poly_almost_equal(p2 - p1, -p3)
    assert_poly_almost_equal(p1 - c2, p3)
    assert_poly_almost_equal(c2 - p1, -p3)
    assert_poly_almost_equal(p1 - tuple(c2), p3)
    assert_poly_almost_equal(tuple(c2) - p1, -p3)
    assert_poly_almost_equal(p1 - np.array(c2), p3)
    assert_poly_almost_equal(np.array(c2) - p1, -p3)
    assert_raises(TypeError, op.sub, p1, Poly([0], domain=Poly.domain + 1))
    assert_raises(TypeError, op.sub, p1, Poly([0], window=Poly.window + 1))
    if Poly is Polynomial:
        assert_raises(TypeError, op.sub, p1, Chebyshev([0]))
    else:
        assert_raises(TypeError, op.sub, p1, Polynomial([0])) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def test_arith(self):
        self._test_op(self.panel, operator.add)
        self._test_op(self.panel, operator.sub)
        self._test_op(self.panel, operator.mul)
        self._test_op(self.panel, operator.truediv)
        self._test_op(self.panel, operator.floordiv)
        self._test_op(self.panel, operator.pow)

        self._test_op(self.panel, lambda x, y: y + x)
        self._test_op(self.panel, lambda x, y: y - x)
        self._test_op(self.panel, lambda x, y: y * x)
        self._test_op(self.panel, lambda x, y: y / x)
        self._test_op(self.panel, lambda x, y: y ** x)

        self._test_op(self.panel, lambda x, y: x + y)  # panel + 1
        self._test_op(self.panel, lambda x, y: x - y)  # panel - 1
        self._test_op(self.panel, lambda x, y: x * y)  # panel * 1
        self._test_op(self.panel, lambda x, y: x / y)  # panel / 1
        self._test_op(self.panel, lambda x, y: x ** y)  # panel ** 1

        pytest.raises(Exception, self.panel.__add__,
                      self.panel['ItemA']) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def test_arith_flex_panel(self):
        ops = ['add', 'sub', 'mul', 'div',
               'truediv', 'pow', 'floordiv', 'mod']
        if not compat.PY3:
            aliases = {}
        else:
            aliases = {'div': 'truediv'}
        self.panel = self.panel.to_panel()

        for n in [np.random.randint(-50, -1), np.random.randint(1, 50), 0]:
            for op in ops:
                alias = aliases.get(op, op)
                f = getattr(operator, alias)
                exp = f(self.panel, n)
                result = getattr(self.panel, op)(n)
                assert_panel_equal(result, exp, check_panel_type=True)

                # rops
                r_f = lambda x, y: f(y, x)
                exp = r_f(self.panel, n)
                result = getattr(self.panel, 'r' + op)(n)
                assert_panel_equal(result, exp) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def test_binary_operators(self):

        # skipping for now #####
        import pytest
        pytest.skip("skipping sparse binary operators test")

        def _check_inplace_op(iop, op):
            tmp = self.bseries.copy()

            expected = op(tmp, self.bseries)
            iop(tmp, self.bseries)
            tm.assert_sp_series_equal(tmp, expected)

        inplace_ops = ['add', 'sub', 'mul', 'truediv', 'floordiv', 'pow']
        for op in inplace_ops:
            _check_inplace_op(getattr(operator, "i%s" % op),
                              getattr(operator, op)) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def test_dti_sub_tdi(self, tz_naive_fixture):
        # GH#17558
        tz = tz_naive_fixture
        dti = DatetimeIndex([Timestamp('2017-01-01', tz=tz)] * 10)
        tdi = pd.timedelta_range('0 days', periods=10)
        expected = pd.date_range('2017-01-01', periods=10, tz=tz, freq='-1D')

        # sub with TimedeltaIndex
        result = dti - tdi
        tm.assert_index_equal(result, expected)

        msg = 'cannot subtract .*TimedeltaArray'
        with pytest.raises(TypeError, match=msg):
            tdi - dti

        # sub with timedelta64 array
        result = dti - tdi.values
        tm.assert_index_equal(result, expected)

        msg = 'cannot subtract DatetimeArray from'
        with pytest.raises(TypeError, match=msg):
            tdi.values - dti 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def _add_arithmetic_ops(cls):
        cls.__add__ = cls._create_arithmetic_method(operator.add)
        cls.__radd__ = cls._create_arithmetic_method(ops.radd)
        cls.__sub__ = cls._create_arithmetic_method(operator.sub)
        cls.__rsub__ = cls._create_arithmetic_method(ops.rsub)
        cls.__mul__ = cls._create_arithmetic_method(operator.mul)
        cls.__rmul__ = cls._create_arithmetic_method(ops.rmul)
        cls.__pow__ = cls._create_arithmetic_method(operator.pow)
        cls.__rpow__ = cls._create_arithmetic_method(ops.rpow)
        cls.__mod__ = cls._create_arithmetic_method(operator.mod)
        cls.__rmod__ = cls._create_arithmetic_method(ops.rmod)
        cls.__floordiv__ = cls._create_arithmetic_method(operator.floordiv)
        cls.__rfloordiv__ = cls._create_arithmetic_method(ops.rfloordiv)
        cls.__truediv__ = cls._create_arithmetic_method(operator.truediv)
        cls.__rtruediv__ = cls._create_arithmetic_method(ops.rtruediv)
        if not PY3:
            cls.__div__ = cls._create_arithmetic_method(operator.div)
            cls.__rdiv__ = cls._create_arithmetic_method(ops.rdiv)

        cls.__divmod__ = cls._create_arithmetic_method(divmod)
        cls.__rdivmod__ = cls._create_arithmetic_method(ops.rdivmod) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def _maybe_cast_slice_bound(self, label, side, kind):
        assert kind in ['ix', 'loc', 'getitem', None]

        # We are a plain index here (sub-class override this method if they
        # wish to have special treatment for floats/ints, e.g. Float64Index and
        # datetimelike Indexes
        # reject them
        if is_float(label):
            if not (kind in ['ix'] and (self.holds_integer() or
                                        self.is_floating())):
                self._invalid_indexer('slice', label)

        # we are trying to find integer bounds on a non-integer based index
        # this is rejected (generally .loc gets you here)
        elif is_integer(label):
            self._invalid_indexer('slice', label)

        return label 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def _evaluate_with_timedelta_like(self, other, op):
        # Timedelta knows how to operate with np.array, so dispatch to that
        # operation and then wrap the results
        if self._is_numeric_dtype and op.__name__ in ['add', 'sub',
                                                      'radd', 'rsub']:
            raise TypeError("Operation {opname} between {cls} and {other} "
                            "is invalid".format(opname=op.__name__,
                                                cls=self.dtype,
                                                other=type(other).__name__))

        other = Timedelta(other)
        values = self.values

        with np.errstate(all='ignore'):
            result = op(values, other)

        attrs = self._get_attributes_dict()
        attrs = self._maybe_update_attributes(attrs)
        if op == divmod:
            return Index(result[0], **attrs), Index(result[1], **attrs)
        return Index(result, **attrs) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def _add_numeric_methods_disabled(cls):
        """
        Add in numeric methods to disable other than add/sub.
        """
        cls.__pow__ = make_invalid_op('__pow__')
        cls.__rpow__ = make_invalid_op('__rpow__')
        cls.__mul__ = make_invalid_op('__mul__')
        cls.__rmul__ = make_invalid_op('__rmul__')
        cls.__floordiv__ = make_invalid_op('__floordiv__')
        cls.__rfloordiv__ = make_invalid_op('__rfloordiv__')
        cls.__truediv__ = make_invalid_op('__truediv__')
        cls.__rtruediv__ = make_invalid_op('__rtruediv__')
        if not compat.PY3:
            cls.__div__ = make_invalid_op('__div__')
            cls.__rdiv__ = make_invalid_op('__rdiv__')
        cls.__mod__ = make_invalid_op('__mod__')
        cls.__divmod__ = make_invalid_op('__divmod__')
        cls.__neg__ = make_invalid_op('__neg__')
        cls.__pos__ = make_invalid_op('__pos__')
        cls.__abs__ = make_invalid_op('__abs__')
        cls.__inv__ = make_invalid_op('__inv__') 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def _add_numeric_methods_binary(cls):
        """
        Add in numeric methods.
        """
        cls.__add__ = _make_arithmetic_op(operator.add, cls)
        cls.__radd__ = _make_arithmetic_op(ops.radd, cls)
        cls.__sub__ = _make_arithmetic_op(operator.sub, cls)
        cls.__rsub__ = _make_arithmetic_op(ops.rsub, cls)
        cls.__rpow__ = _make_arithmetic_op(ops.rpow, cls)
        cls.__pow__ = _make_arithmetic_op(operator.pow, cls)

        cls.__truediv__ = _make_arithmetic_op(operator.truediv, cls)
        cls.__rtruediv__ = _make_arithmetic_op(ops.rtruediv, cls)
        if not compat.PY3:
            cls.__div__ = _make_arithmetic_op(operator.div, cls)
            cls.__rdiv__ = _make_arithmetic_op(ops.rdiv, cls)

        # TODO: rmod? rdivmod?
        cls.__mod__ = _make_arithmetic_op(operator.mod, cls)
        cls.__floordiv__ = _make_arithmetic_op(operator.floordiv, cls)
        cls.__rfloordiv__ = _make_arithmetic_op(ops.rfloordiv, cls)
        cls.__divmod__ = _make_arithmetic_op(divmod, cls)
        cls.__mul__ = _make_arithmetic_op(operator.mul, cls)
        cls.__rmul__ = _make_arithmetic_op(ops.rmul, cls) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def add_flex_arithmetic_methods(cls):
    """
    Adds the full suite of flex arithmetic methods (``pow``, ``mul``, ``add``)
    to the class.

    Parameters
    ----------
    cls : class
        flex methods will be defined and pinned to this class
    """
    flex_arith_method, flex_comp_method, _, _, _ = _get_method_wrappers(cls)
    new_methods = _create_methods(cls, flex_arith_method,
                                  flex_comp_method, bool_method=None,
                                  special=False)
    new_methods.update(dict(multiply=new_methods['mul'],
                            subtract=new_methods['sub'],
                            divide=new_methods['div']))
    # opt out of bool flex methods for now
    assert not any(kname in new_methods for kname in ('ror_', 'rxor', 'rand_'))

    add_methods(cls, new_methods=new_methods)


# -----------------------------------------------------------------------------
# Series 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def nms_temporal(x1,x2,s, overlap):
    pick = []
    assert len(x1)==len(s)
    assert len(x2)==len(s)
    if len(x1)==0:
        return pick

    union = map(operator.sub, x2, x1) # union = x2-x1
    I = [i[0] for i in sorted(enumerate(s), key=lambda x:x[1])] # sort and get index

    while len(I)>0:
        i = I[-1]
        pick.append(i)

        xx1 = [max(x1[i],x1[j]) for j in I[:-1]]
        xx2 = [min(x2[i],x2[j]) for j in I[:-1]]
        inter = [max(0.0, k2-k1) for k1, k2 in zip(xx1, xx2)]
        o = [inter[u]/(union[i] + union[I[u]] - inter[u]) for u in range(len(I)-1)]
        I_new = []
        for j in range(len(o)):
            if o[j] <=overlap:
                I_new.append(I[j])
        I = I_new
    return pick 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [as 別名]
def check_sub(Poly):
    # This checks commutation, not numerical correctness
    c1 = list(random((4,)) + .5)
    c2 = list(random((3,)) + .5)
    p1 = Poly(c1)
    p2 = Poly(c2)
    p3 = p1 - p2
    assert_poly_almost_equal(p2 - p1, -p3)
    assert_poly_almost_equal(p1 - c2, p3)
    assert_poly_almost_equal(c2 - p1, -p3)
    assert_poly_almost_equal(p1 - tuple(c2), p3)
    assert_poly_almost_equal(tuple(c2) - p1, -p3)
    assert_poly_almost_equal(p1 - np.array(c2), p3)
    assert_poly_almost_equal(np.array(c2) - p1, -p3)
    assert_raises(TypeError, op.sub, p1, Poly([0], domain=Poly.domain + 1))
    assert_raises(TypeError, op.sub, p1, Poly([0], window=Poly.window + 1))
    if Poly is Polynomial:
        assert_raises(TypeError, op.sub, p1, Chebyshev([0]))
    else:
        assert_raises(TypeError, op.sub, p1, Polynomial([0])) 

# 需要導入模塊: import operator [as 別名]
# 或者: from operator import sub [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