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Jin Whan Bae
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Apr 20, 2020
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% how it's set up: | ||
% the postrun generates 5 different csv files with a specific keyword in it | ||
% that allows the postprocessor to recognize / parse the appropriate values | ||
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% material flow agent to agent | ||
extensions = [csv] | ||
filter_pattern = "material_flow_agent_to_agent" | ||
processor("Material flow agent to agent:") { | ||
delimiter = ";" | ||
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logic = """${PYTHON} ${RT}/../cyclus/cyclus_processor.py ${CURRENT_FILE}""" | ||
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graph("Material flow agent to agent"){ | ||
% key axis (x-axis) label | ||
key_axis_label = "${a4}" | ||
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% value axis (y-axis) label | ||
value_axis_label = "${b4}" | ||
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% key axis scale (linear, log) | ||
key_axis_scale = log | ||
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% line style (line, stepleft, stepright, stepcenter, impulse, none) | ||
line_style = "${c2}" | ||
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% series keys (x-values) | ||
keys = "a5:a?" % energy | ||
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% series values (y-values) | ||
values = "b5:b?" | ||
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% series value uncertainties (+/- unc) | ||
values_uncertainty = "c5:c?" | ||
} | ||
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} | ||
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% material flow proto to proto | ||
extensions = [csv] | ||
filter_pattern = "material_flow_proto_to_proto" | ||
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% commodity flow | ||
extensions = [csv] | ||
filter_pattern = "commodity_flow" | ||
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% timeseries | ||
extensions = [csv] | ||
filter_pattern = "timeseries" | ||
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% inventory | ||
extensions = [csv] | ||
filter_pattern = "inventory" | ||
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