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try out the decision table object with a few known tables
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‎src/ssvc/decision_tables/helpers.py‎

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#!/usr/bin/env python
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"""
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Provides helper functions for decision tables in SSVC.
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"""
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# Copyright (c) 2025 Carnegie Mellon University.
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# NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE
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# ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS.
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# CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND,
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# EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT
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# NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR
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# MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE
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# OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE
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# ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM
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# PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT.
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# Licensed under a MIT (SEI)-style license, please see LICENSE or contact
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# permission@sei.cmu.edu for full terms.
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# [DISTRIBUTION STATEMENT A] This material has been approved for
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# public release and unlimited distribution. Please see Copyright notice
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# for non-US Government use and distribution.
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# This Software includes and/or makes use of Third-Party Software each
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# subject to its own license.
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# DM24-0278
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from ssvc.decision_tables.base import decision_table_to_longform_df
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def write_csv(
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decision_table: "DecisionTable",
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csvfile: str,
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child_tree: bool = False,
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index: bool = False,
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):
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import os
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# write longform csv to file
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file_path = os.path.abspath(__file__)
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project_base_path = os.path.abspath(
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os.path.join(os.path.dirname(file_path), "..", "..", "..")
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)
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parts = ["data", "csvs"]
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if child_tree:
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parts.append("child_trees")
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target_dir = os.path.join(project_base_path, *parts)
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assert os.path.exists(target_dir), f"Target directory {target_dir} does not exist."
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csv_path = os.path.join(target_dir, csvfile)
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with open(csv_path, "w") as fp:
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fp.write(decision_table_to_longform_df(decision_table).to_csv(index=index))
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def main():
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pass
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if __name__ == "__main__":
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main()

‎src/ssvc/decision_tables/ssvc/human_impact.py‎

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#!/usr/bin/env python
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"""
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Models the Human Impact decision table for SSVC.
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"""
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# Copyright (c) 2025 Carnegie Mellon University.
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# NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE
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# ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS.
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# CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND,
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# EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT
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# NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR
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# MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE
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# OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE
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# ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM
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# PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT.
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# Licensed under a MIT (SEI)-style license, please see LICENSE or contact
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# permission@sei.cmu.edu for full terms.
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# [DISTRIBUTION STATEMENT A] This material has been approved for
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# public release and unlimited distribution. Please see Copyright notice
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# for non-US Government use and distribution.
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# This Software includes and/or makes use of Third-Party Software each
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# subject to its own license.
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# DM24-0278
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from ssvc.decision_points.ssvc.human_impact import LATEST as HumanImpact
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from ssvc.decision_points.ssvc.mission_impact import LATEST as MissionImpact
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from ssvc.decision_points.ssvc.safety_impact import SAFETY_IMPACT_1 as SituatedSafetyImpact
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from ssvc.decision_tables.base import DecisionTable, dpdict_to_combination_list
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from ssvc.decision_tables.helpers import write_csv
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dp_dict = {dp.id: dp for dp in [SituatedSafetyImpact, MissionImpact, HumanImpact]}
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for combo in dpdict_to_combination_list(dp_dict,exclude=HumanImpact.id):
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print(combo)
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HUMAN_IMPACT_1 = DecisionTable(
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name = "Human Impact",
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namespace = "ssvc",
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description = "Human Impact decision table for SSVC",
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version = "1.0.0",
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decision_points = {dp.id: dp for dp in [SituatedSafetyImpact,MissionImpact,HumanImpact]},
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outcome = HumanImpact.id,
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mapping = [
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{
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"ssvc:SI:1.0.0": "N",
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"ssvc:MI:2.0.0": "D",
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"ssvc:HI:2.0.1": "L"
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},
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{
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"ssvc:SI:1.0.0": "N",
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"ssvc:MI:2.0.0": "MSC",
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"ssvc:HI:2.0.1": "L"
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},
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{
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"ssvc:SI:1.0.0": "N",
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"ssvc:MI:2.0.0": "MEF",
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"ssvc:HI:2.0.1": "M"
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},
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{
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"ssvc:SI:1.0.0": "N",
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"ssvc:MI:2.0.0": "MF",
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"ssvc:HI:2.0.1": "VH"
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},
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{
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"ssvc:SI:1.0.0": "M",
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"ssvc:MI:2.0.0": "D",
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"ssvc:HI:2.0.1": "L"
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},
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{
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"ssvc:SI:1.0.0": "M",
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"ssvc:MI:2.0.0": "MSC",
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"ssvc:HI:2.0.1": "L"
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},
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{
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"ssvc:SI:1.0.0": "M",
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"ssvc:MI:2.0.0": "MEF",
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"ssvc:HI:2.0.1": "M"
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},
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{
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"ssvc:SI:1.0.0": "M",
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"ssvc:MI:2.0.0": "MF",
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"ssvc:HI:2.0.1": "VH"
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},
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{
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"ssvc:SI:1.0.0": "J",
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"ssvc:MI:2.0.0": "D",
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"ssvc:HI:2.0.1": "M"
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},
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{
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"ssvc:SI:1.0.0": "J",
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"ssvc:MI:2.0.0": "MSC",
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"ssvc:HI:2.0.1": "M"
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},
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{
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"ssvc:SI:1.0.0": "J",
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"ssvc:MI:2.0.0": "MEF",
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"ssvc:HI:2.0.1": "H"
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},
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{
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"ssvc:SI:1.0.0": "J",
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"ssvc:MI:2.0.0": "MF",
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"ssvc:HI:2.0.1": "VH"
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},
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{
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"ssvc:SI:1.0.0": "H",
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"ssvc:MI:2.0.0": "D",
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"ssvc:HI:2.0.1": "H"
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},
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{
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"ssvc:SI:1.0.0": "H",
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"ssvc:MI:2.0.0": "MSC",
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"ssvc:HI:2.0.1": "H"
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},
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{
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"ssvc:SI:1.0.0": "H",
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"ssvc:MI:2.0.0": "MEF",
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"ssvc:HI:2.0.1": "H"
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},
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{
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"ssvc:SI:1.0.0": "H",
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"ssvc:MI:2.0.0": "MF",
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"ssvc:HI:2.0.1": "VH"
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},
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{
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"ssvc:SI:1.0.0": "C",
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"ssvc:MI:2.0.0": "D",
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"ssvc:HI:2.0.1": "VH"
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},
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{
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"ssvc:SI:1.0.0": "C",
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"ssvc:MI:2.0.0": "MSC",
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"ssvc:HI:2.0.1": "VH"
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},
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{
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"ssvc:SI:1.0.0": "C",
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"ssvc:MI:2.0.0": "MEF",
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"ssvc:HI:2.0.1": "VH"
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},
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{
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"ssvc:SI:1.0.0": "C",
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"ssvc:MI:2.0.0": "MF",
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"ssvc:HI:2.0.1": "VH"
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}
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]
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)
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VERSIONS = [HUMAN_IMPACT_1,]
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LATEST = HUMAN_IMPACT_1
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def main():
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print("## Human Impact Decision Table Object")
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print()
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print(HUMAN_IMPACT_1.model_dump_json(indent=2))
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print("## Human Impact Decision Table Longform DataFrame CSV")
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print()
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from ssvc.decision_tables.base import decision_table_to_longform_df
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print(decision_table_to_longform_df(HUMAN_IMPACT_1).to_csv(index=False))
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csvfile = "human-impact.csv"
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write_csv(HUMAN_IMPACT_1,csvfile)
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if __name__ == '__main__':
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main()

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