# Copyright 2014 Diamond Light Source Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
.. module:: replicate
:platform: Unix
:synopsis: A class to replicate the slice list of a dataset \
(not the data itself!)
.. moduleauthor:: Nicola Wadeson <scientificsoftware@diamond.ac.uk>
"""
import numpy as np
import copy
from savu.data.data_structures.data_types.base_type import BaseType
[docs]class Replicate(BaseType):
""" Class to replicate the slice list of a dataset (not the data itself!)
"""
def __init__(self, data_obj, reps):
self.data_obj = data_obj
self.reps = reps
super(Replicate, self).__init__()
self.rep_dim = len(data_obj.get_shape()) + 1
self.shape = data_obj.get_shape() + (reps,)
self.data = data_obj.data
self.original_patterns = data_obj.get_data_patterns()
self.__set_patterns(copy.deepcopy(self.original_patterns))
[docs] def clone_data_args(self, args, kwargs, extras):
args = ['self', 'reps']
return args, kwargs, extras
def __getitem__(self, idx):
return np.expand_dims(self.data[idx[:-1]], self.rep_dim)
[docs] def get_shape(self):
return self.shape
def __set_patterns(self, data_obj, patterns):
for p in patterns:
patterns[p]['slice_dir'] += (3,)
data_obj.data_info.set('data_patterns', patterns)
def _reset(self):
self.data_obj.data_info.set('data_patterns', self.original_patterns)
return self.data