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# Copyright 2014 Diamond Light Source Ltd. |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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""" |
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.. module:: sum_dimension |
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:platform: Unix |
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:synopsis: Sum a chosen dimension of the data. |
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.. moduleauthor:: Nicola Wadeson <[email protected]> |
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""" |
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import copy |
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import logging |
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import numpy as np |
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from savu.plugins.plugin import Plugin |
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from savu.plugins.utils import register_plugin |
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from savu.plugins.driver.cpu_plugin import CpuPlugin |
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@register_plugin |
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class SumDimension(Plugin, CpuPlugin): |
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def __init__(self): |
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super(SumDimension, self).__init__('SumDimension') |
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def pre_process(self): |
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in_pData = self.get_plugin_in_datasets()[0] |
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self.sum_dim = in_pData.get_data_dimension_by_axis_label( |
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self.parameters['axis_label']) |
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def process_frames(self, data): |
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return np.sum(data[0], axis=self.sum_dim) |
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def setup(self): |
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in_dataset, out_dataset = self.get_datasets() |
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rm_label = self.parameters['axis_label'] |
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rm_dim = in_dataset[0].get_data_dimension_by_axis_label(rm_label) |
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patterns = ['*.' + str(rm_dim)] |
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axis_labels = copy.copy(in_dataset[0].get_axis_labels()) |
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del axis_labels[rm_dim] |
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shape = list(in_dataset[0].get_shape()) |
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del shape[rm_dim] |
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out_dataset[0].create_dataset( |
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patterns={in_dataset[0]: patterns}, |
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axis_labels=axis_labels, |
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shape=tuple(shape)) |
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pattern = self.parameters['pattern'] |
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in_pData, out_pData = self.get_plugin_datasets() |
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in_pData[0].plugin_data_setup(pattern, 'multiple') |
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out_pData[0].plugin_data_setup(pattern, 'multiple') |
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def nInput_datasets(self): |
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return 1 |
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def nOutput_datasets(self): |
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return 1 |
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DiamondLightSource /
Savu
