"""
Standard container-class for easy multiple-inheritance.

Try to inherit from the ndarray instead of using this class as this is not
complete.

"""
from __future__ import division, absolute_import, print_function

from numpy.core import (
    array, asarray, absolute, add, subtract, multiply, divide,
    remainder, power, left_shift, right_shift, bitwise_and, bitwise_or,
    bitwise_xor, invert, less, less_equal, not_equal, equal, greater,
    greater_equal, shape, reshape, arange, sin, sqrt, transpose
)
from numpy.compat import long


class container(object):
    """
    container(data, dtype=None, copy=True)

    Standard container-class for easy multiple-inheritance.

    Methods
    -------
    copy
    tostring
    byteswap
    astype

    """
    def __init__(self, data, dtype=None, copy=True):
        self.array = array(data, dtype, copy=copy)

    def __repr__(self):
        if len(self.shape) > 0:
            return self.__class__.__name__ + repr(self.array)[len("array"):]
        else:
            return self.__class__.__name__ + "(" + repr(self.array) + ")"

    def __array__(self, t=None):
        if t:
            return self.array.astype(t)
        return self.array

    # Array as sequence
    def __len__(self):
        return len(self.array)

    def __getitem__(self, index):
        return self._rc(self.array[index])

    def __getslice__(self, i, j):
        return self._rc(self.array[i:j])

    def __setitem__(self, index, value):
        self.array[index] = asarray(value, self.dtype)

    def __setslice__(self, i, j, value):
        self.array[i:j] = asarray(value, self.dtype)

    def __abs__(self):
        return self._rc(absolute(self.array))

    def __neg__(self):
        return self._rc(-self.array)

    def __add__(self, other):
        return self._rc(self.array + asarray(other))

    __radd__ = __add__

    def __iadd__(self, other):
        add(self.array, other, self.array)
        return self

    def __sub__(self, other):
        return self._rc(self.array - asarray(other))

    def __rsub__(self, other):
        return self._rc(asarray(other) - self.array)

    def __isub__(self, other):
        subtract(self.array, other, self.array)
        return self

    def __mul__(self, other):
        return self._rc(multiply(self.array, asarray(other)))

    __rmul__ = __mul__

    def __imul__(self, other):
        multiply(self.array, other, self.array)
        return self

    def __div__(self, other):
        return self._rc(divide(self.array, asarray(other)))

    def __rdiv__(self, other):
        return self._rc(divide(asarray(other), self.array))

    def __idiv__(self, other):
        divide(self.array, other, self.array)
        return self

    def __mod__(self, other):
        return self._rc(remainder(self.array, other))

    def __rmod__(self, other):
        return self._rc(remainder(other, self.array))

    def __imod__(self, other):
        remainder(self.array, other, self.array)
        return self

    def __divmod__(self, other):
        return (self._rc(divide(self.array, other)),
                self._rc(remainder(self.array, other)))

    def __rdivmod__(self, other):
        return (self._rc(divide(other, self.array)),
                self._rc(remainder(other, self.array)))

    def __pow__(self, other):
        return self._rc(power(self.array, asarray(other)))

    def __rpow__(self, other):
        return self._rc(power(asarray(other), self.array))

    def __ipow__(self, other):
        power(self.array, other, self.array)
        return self

    def __lshift__(self, other):
        return self._rc(left_shift(self.array, other))

    def __rshift__(self, other):
        return self._rc(right_shift(self.array, other))

    def __rlshift__(self, other):
        return self._rc(left_shift(other, self.array))

    def __rrshift__(self, other):
        return self._rc(right_shift(other, self.array))

    def __ilshift__(self, other):
        left_shift(self.array, other, self.array)
        return self

    def __irshift__(self, other):
        right_shift(self.array, other, self.array)
        return self

    def __and__(self, other):
        return self._rc(bitwise_and(self.array, other))

    def __rand__(self, other):
        return self._rc(bitwise_and(other, self.array))

    def __iand__(self, other):
        bitwise_and(self.array, other, self.array)
        return self

    def __xor__(self, other):
        return self._rc(bitwise_xor(self.array, other))

    def __rxor__(self, other):
        return self._rc(bitwise_xor(other, self.array))

    def __ixor__(self, other):
        bitwise_xor(self.array, other, self.array)
        return self

    def __or__(self, other):
        return self._rc(bitwise_or(self.array, other))

    def __ror__(self, other):
        return self._rc(bitwise_or(other, self.array))

    def __ior__(self, other):
        bitwise_or(self.array, other, self.array)
        return self

    def __pos__(self):
        return self._rc(self.array)

    def __invert__(self):
        return self._rc(invert(self.array))

    def _scalarfunc(self, func):
        if len(self.shape) == 0:
            return func(self[0])
        else:
            raise TypeError(
                "only rank-0 arrays can be converted to Python scalars.")

    def __complex__(self):
        return self._scalarfunc(complex)

    def __float__(self):
        return self._scalarfunc(float)

    def __int__(self):
        return self._scalarfunc(int)

    def __long__(self):
        return self._scalarfunc(long)

    def __hex__(self):
        return self._scalarfunc(hex)

    def __oct__(self):
        return self._scalarfunc(oct)

    def __lt__(self, other):
        return self._rc(less(self.array, other))

    def __le__(self, other):
        return self._rc(less_equal(self.array, other))

    def __eq__(self, other):
        return self._rc(equal(self.array, other))

    def __ne__(self, other):
        return self._rc(not_equal(self.array, other))

    def __gt__(self, other):
        return self._rc(greater(self.array, other))

    def __ge__(self, other):
        return self._rc(greater_equal(self.array, other))

    def copy(self):
        ""
        return self._rc(self.array.copy())

    def tostring(self):
        ""
        return self.array.tostring()

    def byteswap(self):
        ""
        return self._rc(self.array.byteswap())

    def astype(self, typecode):
        ""
        return self._rc(self.array.astype(typecode))

    def _rc(self, a):
        if len(shape(a)) == 0:
            return a
        else:
            return self.__class__(a)

    def __array_wrap__(self, *args):
        return self.__class__(args[0])

    def __setattr__(self, attr, value):
        if attr == 'array':
            object.__setattr__(self, attr, value)
            return
        try:
            self.array.__setattr__(attr, value)
        except AttributeError:
            object.__setattr__(self, attr, value)

    # Only called after other approaches fail.
    def __getattr__(self, attr):
        if (attr == 'array'):
            return object.__getattribute__(self, attr)
        return self.array.__getattribute__(attr)

#############################################################
# Test of class container
#############################################################
if __name__ == '__main__':
    temp = reshape(arange(10000), (100, 100))

    ua = container(temp)
    # new object created begin test
    print(dir(ua))
    print(shape(ua), ua.shape)  # I have changed Numeric.py

    ua_small = ua[:3, :5]
    print(ua_small)
    # this did not change ua[0,0], which is not normal behavior
    ua_small[0, 0] = 10
    print(ua_small[0, 0], ua[0, 0])
    print(sin(ua_small) / 3. * 6. + sqrt(ua_small ** 2))
    print(less(ua_small, 103), type(less(ua_small, 103)))
    print(type(ua_small * reshape(arange(15), shape(ua_small))))
    print(reshape(ua_small, (5, 3)))
    print(transpose(ua_small))
