diff options
Diffstat (limited to 'Wrappers')
| -rwxr-xr-x | Wrappers/Python/ccpi/framework/BlockDataContainer.py | 827 |
1 files changed, 450 insertions, 377 deletions
diff --git a/Wrappers/Python/ccpi/framework/BlockDataContainer.py b/Wrappers/Python/ccpi/framework/BlockDataContainer.py index 85cd05a..fee0cda 100755 --- a/Wrappers/Python/ccpi/framework/BlockDataContainer.py +++ b/Wrappers/Python/ccpi/framework/BlockDataContainer.py @@ -1,377 +1,450 @@ - # -*- coding: utf-8 -*-
-"""
-Created on Tue Mar 5 16:04:45 2019
-
-@author: ofn77899
-"""
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-from __future__ import unicode_literals
-
-import numpy
-from numbers import Number
-import functools
-from ccpi.framework import DataContainer
-#from ccpi.framework import AcquisitionData, ImageData
-#from ccpi.optimisation.operators import Operator, LinearOperator
-
-class BlockDataContainer(object):
- '''Class to hold DataContainers as column vector'''
- __array_priority__ = 1
- def __init__(self, *args, **kwargs):
- ''''''
- self.containers = args
- self.index = 0
- shape = kwargs.get('shape', None)
- if shape is None:
- shape = (len(args),1)
-# shape = (len(args),1)
- self.shape = shape
-
- n_elements = functools.reduce(lambda x,y: x*y, shape, 1)
- if len(args) != n_elements:
- raise ValueError(
- 'Dimension and size do not match: expected {} got {}'
- .format(n_elements, len(args)))
-
-
- def __iter__(self):
- '''BlockDataContainer is Iterable'''
- return self
- def next(self):
- '''python2 backwards compatibility'''
- return self.__next__()
- def __next__(self):
- try:
- out = self[self.index]
- except IndexError as ie:
- raise StopIteration()
- self.index+=1
- return out
-
- def is_compatible(self, other):
- '''basic check if the size of the 2 objects fit'''
-
- #for i in range(len(self.containers)):
- # if type(self.containers[i])==type(self):
- # self = self.containers[i]
-
- if isinstance(other, Number):
- return True
- elif isinstance(other, list):
- for ot in other:
- if not isinstance(ot, (Number,\
- numpy.int, numpy.int8, numpy.int16, numpy.int32, numpy.int64,\
- numpy.float, numpy.float16, numpy.float32, numpy.float64, \
- numpy.complex)):
- raise ValueError('List/ numpy array can only contain numbers {}'\
- .format(type(ot)))
- return len(self.containers) == len(other)
- elif isinstance(other, numpy.ndarray):
- return len(self.containers) == len(other)
- elif issubclass(other.__class__, DataContainer):
- ret = True
- for i, el in enumerate(self.containers):
- if isinstance(el, BlockDataContainer):
- a = el.is_compatible(other)
- else:
- a = el.shape == other.shape
- print ("current element" , el.shape, "other ", other.shape, "same shape" , a)
- ret = ret and a
- return ret
- #return self.get_item(0).shape == other.shape
- return len(self.containers) == len(other.containers)
-
- def get_item(self, row):
- if row > self.shape[0]:
- raise ValueError('Requested row {} > max {}'.format(row, self.shape[0]))
- return self.containers[row]
-
- def __getitem__(self, row):
- return self.get_item(row)
-
- def add(self, other, *args, **kwargs):
- if not self.is_compatible(other):
- raise ValueError('Incompatible for add')
- out = kwargs.get('out', None)
- #print ("args" , *args)
- if isinstance(other, Number):
- return type(self)(*[ el.add(other, *args, **kwargs) for el in self.containers], shape=self.shape)
- elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- return type(self)(*[ el.add(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- elif issubclass(other.__class__, DataContainer):
- # try to do algebra with one DataContainer. Will raise error if not compatible
- return type(self)(*[ el.add(other, *args, **kwargs) for el in self.containers], shape=self.shape)
-
- return type(self)(
- *[ el.add(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)],
- shape=self.shape)
-
- def subtract(self, other, *args, **kwargs):
- if not self.is_compatible(other):
- raise ValueError('Incompatible for subtract')
- out = kwargs.get('out', None)
- if isinstance(other, Number):
- return type(self)(*[ el.subtract(other, *args, **kwargs) for el in self.containers], shape=self.shape)
- elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- return type(self)(*[ el.subtract(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- elif issubclass(other.__class__, DataContainer):
- # try to do algebra with one DataContainer. Will raise error if not compatible
- return type(self)(*[ el.subtract(other, *args, **kwargs) for el in self.containers], shape=self.shape)
- return type(self)(*[ el.subtract(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)],
- shape=self.shape)
-
- def multiply(self, other, *args, **kwargs):
- if not self.is_compatible(other):
- raise ValueError('{} Incompatible for multiply'.format(other))
- out = kwargs.get('out', None)
- if isinstance(other, Number):
- return type(self)(*[ el.multiply(other, *args, **kwargs) for el in self.containers], shape=self.shape)
- elif isinstance(other, list):
- return type(self)(*[ el.multiply(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- elif isinstance(other, numpy.ndarray):
- return type(self)(*[ el.multiply(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- elif issubclass(other.__class__, DataContainer):
- # try to do algebra with one DataContainer. Will raise error if not compatible
- return type(self)(*[ el.multiply(other, *args, **kwargs) for el in self.containers], shape=self.shape)
- return type(self)(*[ el.multiply(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)],
- shape=self.shape)
-
- def divide(self, other, *args, **kwargs):
- if not self.is_compatible(other):
- raise ValueError('Incompatible for divide')
- out = kwargs.get('out', None)
- if isinstance(other, Number):
- return type(self)(*[ el.divide(other, *args, **kwargs) for el in self.containers], shape=self.shape)
- elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- return type(self)(*[ el.divide(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- elif issubclass(other.__class__, DataContainer):
- # try to do algebra with one DataContainer. Will raise error if not compatible
- if out is not None:
- kw = kwargs.copy()
- for i,el in enumerate(self.containers):
- kw['out'] = out.get_item(i)
- el.divide(other, *args, **kw)
- return
- else:
- return type(self)(*[ el.divide(other, *args, **kwargs) for el in self.containers], shape=self.shape)
- return type(self)(*[ el.divide(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)],
- shape=self.shape)
- def binary_operations(self, operation, other, *args, **kwargs):
- if not self.is_compatible(other):
- raise ValueError('Incompatible for divide')
- out = kwargs.get('out', None)
- if isinstance(other, Number) or issubclass(other.__class__, DataContainer):
- # try to do algebra with one DataContainer. Will raise error if not compatible
- if out is not None:
- kw = kwargs.copy()
- for i,el in enumerate(self.containers):
- kw['out'] = out.get_item(i)
- el.divide(other, *args, **kw)
- return
- else:
- return type(self)(*[ el.divide(other, *args, **kwargs) for el in self.containers], shape=self.shape)
- elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- return type(self)(*[ el.divide(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- return type(self)(*[ el.divide(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)],
- shape=self.shape)
-
-
- def power(self, other, *args, **kwargs):
- if not self.is_compatible(other):
- raise ValueError('Incompatible for power')
- out = kwargs.get('out', None)
- if isinstance(other, Number):
- return type(self)(*[ el.power(other, *args, **kwargs) for el in self.containers], shape=self.shape)
- elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- return type(self)(*[ el.power(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- return type(self)(*[ el.power(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], shape=self.shape)
-
- def maximum(self,other, *args, **kwargs):
- if not self.is_compatible(other):
- raise ValueError('Incompatible for maximum')
- out = kwargs.get('out', None)
- if isinstance(other, Number):
- return type(self)(*[ el.maximum(other, *args, **kwargs) for el in self.containers], shape=self.shape)
- elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- return type(self)(*[ el.maximum(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape)
- return type(self)(*[ el.maximum(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], shape=self.shape)
-
- ## unary operations
- def abs(self, *args, **kwargs):
- return type(self)(*[ el.abs(*args, **kwargs) for el in self.containers], shape=self.shape)
- def sign(self, *args, **kwargs):
- return type(self)(*[ el.sign(*args, **kwargs) for el in self.containers], shape=self.shape)
- def sqrt(self, *args, **kwargs):
- return type(self)(*[ el.sqrt(*args, **kwargs) for el in self.containers], shape=self.shape)
- def conjugate(self, out=None):
- return type(self)(*[el.conjugate() for el in self.containers], shape=self.shape)
-
- ## reductions
- def sum(self, *args, **kwargs):
- return numpy.sum([ el.sum(*args, **kwargs) for el in self.containers])
- def squared_norm(self):
- y = numpy.asarray([el.squared_norm() for el in self.containers])
- return y.sum()
- def norm(self):
- return numpy.sqrt(self.squared_norm())
- def copy(self):
- '''alias of clone'''
- return self.clone()
- def clone(self):
- return type(self)(*[el.copy() for el in self.containers], shape=self.shape)
- def fill(self, other):
- if isinstance (other, BlockDataContainer):
- if not self.is_compatible(other):
- raise ValueError('Incompatible containers')
- for el,ot in zip(self.containers, other.containers):
- el.fill(ot)
- else:
- return ValueError('Cannot fill with object provided {}'.format(type(other)))
-
- def __add__(self, other):
- return self.add( other )
- # __radd__
-
- def __sub__(self, other):
- return self.subtract( other )
- # __rsub__
-
- def __mul__(self, other):
- return self.multiply(other)
- # __rmul__
-
- def __div__(self, other):
- return self.divide(other)
- # __rdiv__
- def __truediv__(self, other):
- return self.divide(other)
-
- def __pow__(self, other):
- return self.power(other)
- # reverse operand
- def __radd__(self, other):
- '''Reverse addition
-
- to make sure that this method is called rather than the __mul__ of a numpy array
- the class constant __array_priority__ must be set > 0
- https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__
- '''
- return self + other
- # __radd__
-
- def __rsub__(self, other):
- '''Reverse subtraction
-
- to make sure that this method is called rather than the __mul__ of a numpy array
- the class constant __array_priority__ must be set > 0
- https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__
- '''
- return (-1 * self) + other
- # __rsub__
-
- def __rmul__(self, other):
- '''Reverse multiplication
-
- to make sure that this method is called rather than the __mul__ of a numpy array
- the class constant __array_priority__ must be set > 0
- https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__
- '''
- return self * other
- # __rmul__
-
- def __rdiv__(self, other):
- '''Reverse division
-
- to make sure that this method is called rather than the __mul__ of a numpy array
- the class constant __array_priority__ must be set > 0
- https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__
- '''
- return pow(self / other, -1)
- # __rdiv__
- def __rtruediv__(self, other):
- '''Reverse truedivision
-
- to make sure that this method is called rather than the __mul__ of a numpy array
- the class constant __array_priority__ must be set > 0
- https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__
- '''
- return self.__rdiv__(other)
-
- def __rpow__(self, other):
- '''Reverse power
-
- to make sure that this method is called rather than the __mul__ of a numpy array
- the class constant __array_priority__ must be set > 0
- https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__
- '''
- return other.power(self)
-
- def __iadd__(self, other):
- '''Inline addition'''
- if isinstance (other, BlockDataContainer):
- for el,ot in zip(self.containers, other.containers):
- el += ot
- elif isinstance(other, Number):
- for el in self.containers:
- el += other
- elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- if not self.is_compatible(other):
- raise ValueError('Incompatible for __iadd__')
- for el,ot in zip(self.containers, other):
- el += ot
- return self
- # __iadd__
-
- def __isub__(self, other):
- '''Inline subtraction'''
- if isinstance (other, BlockDataContainer):
- for el,ot in zip(self.containers, other.containers):
- el -= ot
- elif isinstance(other, Number):
- for el in self.containers:
- el -= other
- elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- if not self.is_compatible(other):
- raise ValueError('Incompatible for __isub__')
- for el,ot in zip(self.containers, other):
- el -= ot
- return self
- # __isub__
-
- def __imul__(self, other):
- '''Inline multiplication'''
- if isinstance (other, BlockDataContainer):
- for el,ot in zip(self.containers, other.containers):
- el *= ot
- elif isinstance(other, Number):
- for el in self.containers:
- el *= other
- elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- if not self.is_compatible(other):
- raise ValueError('Incompatible for __imul__')
- for el,ot in zip(self.containers, other):
- el *= ot
- return self
- # __imul__
-
- def __idiv__(self, other):
- '''Inline division'''
- if isinstance (other, BlockDataContainer):
- for el,ot in zip(self.containers, other.containers):
- el /= ot
- elif isinstance(other, Number):
- for el in self.containers:
- el /= other
- elif isinstance(other, list) or isinstance(other, numpy.ndarray):
- if not self.is_compatible(other):
- raise ValueError('Incompatible for __idiv__')
- for el,ot in zip(self.containers, other):
- el /= ot
- return self
- # __rdiv__
- def __itruediv__(self, other):
- '''Inline truedivision'''
- return self.__idiv__(other)
-
+ # -*- coding: utf-8 -*- +""" +Created on Tue Mar 5 16:04:45 2019 + +@author: ofn77899 +""" +from __future__ import absolute_import +from __future__ import division +from __future__ import print_function +from __future__ import unicode_literals + +import numpy +from numbers import Number +import functools +from ccpi.framework import DataContainer +#from ccpi.framework import AcquisitionData, ImageData +#from ccpi.optimisation.operators import Operator, LinearOperator + +class BlockDataContainer(object): + '''Class to hold DataContainers as column vector + + Provides basic algebra between BlockDataContainer's, DataContainer's and + subclasses and Numbers + + 1) algebra between `BlockDataContainer`s will be element-wise, only if + the shape of the 2 `BlockDataContainer`s is the same, otherwise it + will fail + 2) algebra between `BlockDataContainer`s and `list` or `numpy array` will + work as long as the number of `rows` and element of the arrays match, + indipendently on the fact that the `BlockDataContainer` could be nested + 3) algebra between `BlockDataContainer` and one `DataContainer` is possible. + It will require that all the `DataContainers` in the block to be + compatible with the `DataContainer` we want to algebra with. Should we + require that the `DataContainer` is the same type? Like `ImageData` or `AcquisitionData`? + 4) algebra between `BlockDataContainer` and a `Number` is possible and it + will be done with each element of the `BlockDataContainer` even if nested + + A = [ [B,C] , D] + A * 3 = [ 3 * [B,C] , 3* D] = [ [ 3*B, 3*C] , 3*D ] + + ''' + ADD = 'add' + SUBTRACT = 'subtract' + MULTIPLY = 'multiply' + DIVIDE = 'divide' + POWER = 'power' + __array_priority__ = 1 + def __init__(self, *args, **kwargs): + '''''' + self.containers = args + self.index = 0 + shape = kwargs.get('shape', None) + if shape is None: + shape = (len(args),1) +# shape = (len(args),1) + self.shape = shape + + n_elements = functools.reduce(lambda x,y: x*y, shape, 1) + if len(args) != n_elements: + raise ValueError( + 'Dimension and size do not match: expected {} got {}' + .format(n_elements, len(args))) + + + def __iter__(self): + '''BlockDataContainer is Iterable''' + return self + def next(self): + '''python2 backwards compatibility''' + return self.__next__() + def __next__(self): + try: + out = self[self.index] + except IndexError as ie: + raise StopIteration() + self.index+=1 + return out + + def is_compatible(self, other): + '''basic check if the size of the 2 objects fit''' + + if isinstance(other, Number): + return True + elif isinstance(other, (list, numpy.ndarray)) : + for ot in other: + if not isinstance(ot, (Number,\ + numpy.int, numpy.int8, numpy.int16, numpy.int32, numpy.int64,\ + numpy.float, numpy.float16, numpy.float32, numpy.float64, \ + numpy.complex)): + raise ValueError('List/ numpy array can only contain numbers {}'\ + .format(type(ot))) + return len(self.containers) == len(other) + elif issubclass(other.__class__, DataContainer): + ret = True + for i, el in enumerate(self.containers): + if isinstance(el, BlockDataContainer): + a = el.is_compatible(other) + else: + a = el.shape == other.shape + print ("current element" , el.shape, "other ", other.shape, "same shape" , a) + ret = ret and a + return ret + #return self.get_item(0).shape == other.shape + return len(self.containers) == len(other.containers) + + def get_item(self, row): + if row > self.shape[0]: + raise ValueError('Requested row {} > max {}'.format(row, self.shape[0])) + return self.containers[row] + + def __getitem__(self, row): + return self.get_item(row) + + def add(self, other, *args, **kwargs): + if not self.is_compatible(other): + raise ValueError('Incompatible for add') + out = kwargs.get('out', None) + #print ("args" , *args) + if isinstance(other, Number): + return type(self)(*[ el.add(other, *args, **kwargs) for el in self.containers], shape=self.shape) + elif isinstance(other, list) or isinstance(other, numpy.ndarray): + return type(self)(*[ el.add(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape) + elif issubclass(other.__class__, DataContainer): + # try to do algebra with one DataContainer. Will raise error if not compatible + return type(self)(*[ el.add(other, *args, **kwargs) for el in self.containers], shape=self.shape) + + return type(self)( + *[ el.add(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], + shape=self.shape) + + def subtract(self, other, *args, **kwargs): + if not self.is_compatible(other): + raise ValueError('Incompatible for subtract') + out = kwargs.get('out', None) + if isinstance(other, Number): + return type(self)(*[ el.subtract(other, *args, **kwargs) for el in self.containers], shape=self.shape) + elif isinstance(other, list) or isinstance(other, numpy.ndarray): + return type(self)(*[ el.subtract(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape) + elif issubclass(other.__class__, DataContainer): + # try to do algebra with one DataContainer. Will raise error if not compatible + return type(self)(*[ el.subtract(other, *args, **kwargs) for el in self.containers], shape=self.shape) + return type(self)(*[ el.subtract(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], + shape=self.shape) + + def multiply(self, other, *args, **kwargs): + if not self.is_compatible(other): + raise ValueError('{} Incompatible for multiply'.format(other)) + out = kwargs.get('out', None) + if isinstance(other, Number): + return type(self)(*[ el.multiply(other, *args, **kwargs) for el in self.containers], shape=self.shape) + elif isinstance(other, list): + return type(self)(*[ el.multiply(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape) + elif isinstance(other, numpy.ndarray): + return type(self)(*[ el.multiply(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape) + elif issubclass(other.__class__, DataContainer): + # try to do algebra with one DataContainer. Will raise error if not compatible + return type(self)(*[ el.multiply(other, *args, **kwargs) for el in self.containers], shape=self.shape) + return type(self)(*[ el.multiply(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], + shape=self.shape) + + def divide_old(self, other, *args, **kwargs): + if not self.is_compatible(other): + raise ValueError('Incompatible for divide') + out = kwargs.get('out', None) + if isinstance(other, Number): + return type(self)(*[ el.divide(other, *args, **kwargs) for el in self.containers], shape=self.shape) + elif isinstance(other, list) or isinstance(other, numpy.ndarray): + return type(self)(*[ el.divide(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape) + elif issubclass(other.__class__, DataContainer): + # try to do algebra with one DataContainer. Will raise error if not compatible + if out is not None: + kw = kwargs.copy() + for i,el in enumerate(self.containers): + kw['out'] = out.get_item(i) + el.divide(other, *args, **kw) + return + else: + return type(self)(*[ el.divide(other, *args, **kwargs) for el in self.containers], shape=self.shape) + return type(self)(*[ el.divide(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], + shape=self.shape) + def divide(self, other, *args, **kwargs): + out = kwargs.get('out', None) + if out is not None: + self.binary_operations(BlockDataContainer.DIVIDE, other, *args, **kwargs) + else: + return self.binary_operations(BlockDataContainer.DIVIDE, other, *args, **kwargs) + + def binary_operations(self, operation, other, *args, **kwargs): + if not self.is_compatible(other): + raise ValueError('Incompatible for divide') + out = kwargs.get('out', None) + if isinstance(other, Number) or issubclass(other.__class__, DataContainer): + # try to do algebra with one DataContainer. Will raise error if not compatible + kw = kwargs.copy() + res = [] + for i,el in enumerate(self.containers): + if operation == BlockDataContainer.ADD: + op = el.add + elif operation == BlockDataContainer.SUBTRACT: + op = el.subtract + elif operation == BlockDataContainer.MULTIPLY: + op = el.multiply + elif operation == BlockDataContainer.DIVIDE: + op = el.divide + elif operation == BlockDataContainer.POWER: + op = el.power + else: + raise ValueError('Unsupported operation', operation) + if out is not None: + kw['out'] = out.get_item(i) + op(other, *args, **kw) + else: + res.append(op(other, *args, **kw)) + if out is not None: + return + else: + return type(self)(*res, shape=self.shape) + elif isinstance(other, (list, numpy.ndarray)): + # try to do algebra with one DataContainer. Will raise error if not compatible + kw = kwargs.copy() + res = [] + for i,zel in enumerate(zip ( self.containers, other) ): + el = zel[0] + ot = zel[1] + if operation == BlockDataContainer.ADD: + op = el.add + elif operation == BlockDataContainer.SUBTRACT: + op = el.subtract + elif operation == BlockDataContainer.MULTIPLY: + op = el.multiply + elif operation == BlockDataContainer.DIVIDE: + op = el.divide + elif operation == BlockDataContainer.POWER: + op = el.power + else: + raise ValueError('Unsupported operation', operation) + if out is not None: + kw['out'] = out.get_item(i) + op(ot, *args, **kw) + else: + res.append(op(ot, *args, **kw)) + if out is not None: + return + else: + return type(self)(*res, shape=self.shape) + return type(self)(*[ operation(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape) + elif isinstance(other, BlockDataContainer): + return type(self)(*[ el.divide(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], + shape=self.shape) + else: + raise ValueError('Incompatible type {}'.format(type(other))) + + + def power(self, other, *args, **kwargs): + if not self.is_compatible(other): + raise ValueError('Incompatible for power') + out = kwargs.get('out', None) + if isinstance(other, Number): + return type(self)(*[ el.power(other, *args, **kwargs) for el in self.containers], shape=self.shape) + elif isinstance(other, list) or isinstance(other, numpy.ndarray): + return type(self)(*[ el.power(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape) + return type(self)(*[ el.power(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], shape=self.shape) + + def maximum(self,other, *args, **kwargs): + if not self.is_compatible(other): + raise ValueError('Incompatible for maximum') + out = kwargs.get('out', None) + if isinstance(other, Number): + return type(self)(*[ el.maximum(other, *args, **kwargs) for el in self.containers], shape=self.shape) + elif isinstance(other, list) or isinstance(other, numpy.ndarray): + return type(self)(*[ el.maximum(ot, *args, **kwargs) for el,ot in zip(self.containers,other)], shape=self.shape) + return type(self)(*[ el.maximum(ot, *args, **kwargs) for el,ot in zip(self.containers,other.containers)], shape=self.shape) + + ## unary operations + def abs(self, *args, **kwargs): + return type(self)(*[ el.abs(*args, **kwargs) for el in self.containers], shape=self.shape) + def sign(self, *args, **kwargs): + return type(self)(*[ el.sign(*args, **kwargs) for el in self.containers], shape=self.shape) + def sqrt(self, *args, **kwargs): + return type(self)(*[ el.sqrt(*args, **kwargs) for el in self.containers], shape=self.shape) + def conjugate(self, out=None): + return type(self)(*[el.conjugate() for el in self.containers], shape=self.shape) + + ## reductions + def sum(self, *args, **kwargs): + return numpy.sum([ el.sum(*args, **kwargs) for el in self.containers]) + def squared_norm(self): + y = numpy.asarray([el.squared_norm() for el in self.containers]) + return y.sum() + def norm(self): + return numpy.sqrt(self.squared_norm()) + def copy(self): + '''alias of clone''' + return self.clone() + def clone(self): + return type(self)(*[el.copy() for el in self.containers], shape=self.shape) + def fill(self, other): + if isinstance (other, BlockDataContainer): + if not self.is_compatible(other): + raise ValueError('Incompatible containers') + for el,ot in zip(self.containers, other.containers): + el.fill(ot) + else: + return ValueError('Cannot fill with object provided {}'.format(type(other))) + + def __add__(self, other): + return self.add( other ) + # __radd__ + + def __sub__(self, other): + return self.subtract( other ) + # __rsub__ + + def __mul__(self, other): + return self.multiply(other) + # __rmul__ + + def __div__(self, other): + return self.divide(other) + # __rdiv__ + def __truediv__(self, other): + return self.divide(other) + + def __pow__(self, other): + return self.power(other) + # reverse operand + def __radd__(self, other): + '''Reverse addition + + to make sure that this method is called rather than the __mul__ of a numpy array + the class constant __array_priority__ must be set > 0 + https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__ + ''' + return self + other + # __radd__ + + def __rsub__(self, other): + '''Reverse subtraction + + to make sure that this method is called rather than the __mul__ of a numpy array + the class constant __array_priority__ must be set > 0 + https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__ + ''' + return (-1 * self) + other + # __rsub__ + + def __rmul__(self, other): + '''Reverse multiplication + + to make sure that this method is called rather than the __mul__ of a numpy array + the class constant __array_priority__ must be set > 0 + https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__ + ''' + return self * other + # __rmul__ + + def __rdiv__(self, other): + '''Reverse division + + to make sure that this method is called rather than the __mul__ of a numpy array + the class constant __array_priority__ must be set > 0 + https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__ + ''' + return pow(self / other, -1) + # __rdiv__ + def __rtruediv__(self, other): + '''Reverse truedivision + + to make sure that this method is called rather than the __mul__ of a numpy array + the class constant __array_priority__ must be set > 0 + https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__ + ''' + return self.__rdiv__(other) + + def __rpow__(self, other): + '''Reverse power + + to make sure that this method is called rather than the __mul__ of a numpy array + the class constant __array_priority__ must be set > 0 + https://docs.scipy.org/doc/numpy-1.15.1/reference/arrays.classes.html#numpy.class.__array_priority__ + ''' + return other.power(self) + + def __iadd__(self, other): + '''Inline addition''' + if isinstance (other, BlockDataContainer): + for el,ot in zip(self.containers, other.containers): + el += ot + elif isinstance(other, Number): + for el in self.containers: + el += other + elif isinstance(other, list) or isinstance(other, numpy.ndarray): + if not self.is_compatible(other): + raise ValueError('Incompatible for __iadd__') + for el,ot in zip(self.containers, other): + el += ot + return self + # __iadd__ + + def __isub__(self, other): + '''Inline subtraction''' + if isinstance (other, BlockDataContainer): + for el,ot in zip(self.containers, other.containers): + el -= ot + elif isinstance(other, Number): + for el in self.containers: + el -= other + elif isinstance(other, list) or isinstance(other, numpy.ndarray): + if not self.is_compatible(other): + raise ValueError('Incompatible for __isub__') + for el,ot in zip(self.containers, other): + el -= ot + return self + # __isub__ + + def __imul__(self, other): + '''Inline multiplication''' + if isinstance (other, BlockDataContainer): + for el,ot in zip(self.containers, other.containers): + el *= ot + elif isinstance(other, Number): + for el in self.containers: + el *= other + elif isinstance(other, list) or isinstance(other, numpy.ndarray): + if not self.is_compatible(other): + raise ValueError('Incompatible for __imul__') + for el,ot in zip(self.containers, other): + el *= ot + return self + # __imul__ + + def __idiv__(self, other): + '''Inline division''' + if isinstance (other, BlockDataContainer): + for el,ot in zip(self.containers, other.containers): + el /= ot + elif isinstance(other, Number): + for el in self.containers: + el /= other + elif isinstance(other, list) or isinstance(other, numpy.ndarray): + if not self.is_compatible(other): + raise ValueError('Incompatible for __idiv__') + for el,ot in zip(self.containers, other): + el /= ot + return self + # __rdiv__ + def __itruediv__(self, other): + '''Inline truedivision''' + return self.__idiv__(other) + |