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Mini Shell
Mini Shell
"""
Standard container-class for easy multiple-inheritance.
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 container:
"""
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 self.ndim > 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 __setitem__(self, index, value):
self.array[index] = 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 self.ndim == 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 __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 tobytes(self):
""
return self.array.tobytes()
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))
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