""" Standard container-class for easy backward compatibility with Numeric. Try to inherit from the ndarray instead of using this class as this is not complete. """ 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 class UserArray(object): def __init__(self, data, dtype=None, copy=True): self.array = array(data, dtype, 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 __neg__(self): return self._rc(-self.array) def __pos__(self): return self._rc(self.array) def __abs__(self): return self._rc(abs(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.__getattr__(self, attr) return self.array.__getattribute__(attr) ############################################################# # Test of class UserArray ############################################################# if __name__ == '__main__': temp=reshape(arange(10000),(100,100)) ua=UserArray(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 ua_small[0,0]=10 # this did not change ua[0,0], which is not normal behavior 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)