#!/usr/bin/env python
# Copyright 2011-2014 Biomedical Imaging Group Rotterdam, Departments of
# Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands
#
# 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.
IS_TEST = True
[docs]def create_network():
# Import the faster environment and set it up
import fastr
# Create a new network
network = fastr.Network(id_='collapse')
# Create a source node in the network
source = network.create_source(fastr.typelist['Int'], id_='source')
# Create a sink to save the data
sink = network.create_sink(fastr.typelist['Int'], id_='sink')
# Link the addint node to the sink
link = network.create_link(source.output, sink.input)
link.collapse = 0
return network
[docs]def source_data(network):
return {
'source': {
'sample_a': (1, 2, 3, 4),
'sample_b': (5, 6, 7, 8),
'sample_c': (9, 10, 11, 12),
}
}
[docs]def sink_data(network):
return {'sink': 'vfs://tmp/results/{}/result_{{sample_id}}_{{cardinality}}{{ext}}'.format(network.id)}
[docs]def main():
network = create_network()
# Execute
network.draw_network()
network.execute(source_data(network), sink_data(network))
if __name__ == '__main__':
main()