Merge pull request #280 from CITCOM-project/python-311-compatible

Python 312 compatible

Author: christopher-wild

.github/workflows/ci-tests-drafts.yaml

@@ -13,7 +13,7 @@ jobs:
     strategy:
       matrix:
         os: ["ubuntu-latest", "windows-latest", "macos-latest"]
-        python-version: ["3.9"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python using Miniconda

.github/workflows/ci-tests.yaml

@@ -18,7 +18,7 @@ jobs:
     strategy:
       matrix:
         os: ["ubuntu-latest", "windows-latest", "macos-latest"]
-        python-version: ["3.9"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python using Miniconda

causal_testing/generation/abstract_causal_test_case.py

@@ -1,4 +1,5 @@
 """This module contains the class AbstractCausalTestCase, which generates concrete test cases"""
+
 import itertools
 import logging
 from enum import Enum

causal_testing/json_front/json_class.py

@@ -108,9 +108,9 @@ def _create_abstract_test_case(self, test, mutates, effects):
                 self.scenario.variables[variable]: effects[effect]
                 for variable, effect in test["expected_effect"].items()
             },
-            effect_modifiers={self.scenario.variables[v] for v in test["effect_modifiers"]}
-            if "effect_modifiers" in test
-            else {},
+            effect_modifiers=(
+                {self.scenario.variables[v] for v in test["effect_modifiers"]} if "effect_modifiers" in test else {}
+            ),
             estimate_type=test["estimate_type"],
             effect=test.get("effect", "total"),
         )

causal_testing/specification/metamorphic_relation.py

@@ -73,9 +73,11 @@ def generate_follow_up(self, n_tests: int, min_val: float, max_val: float, seed:
                 source_follow_up_test_inputs[[follow_up_input]]
                 .rename(columns={follow_up_input: self.treatment_var})
                 .to_dict(orient="records"),
-                test_inputs.to_dict(orient="records")
-                if not test_inputs.empty
-                else [{}] * len(source_follow_up_test_inputs),
+                (
+                    test_inputs.to_dict(orient="records")
+                    if not test_inputs.empty
+                    else [{}] * len(source_follow_up_test_inputs)
+                ),
             )
         ]
 

causal_testing/specification/scenario.py

@@ -1,4 +1,5 @@
 """This module holds the Scenario Class"""
+
 from collections.abc import Iterable, Mapping
 
 from tabulate import tabulate

causal_testing/surrogate/surrogate_search_algorithms.py

@@ -1,4 +1,5 @@
 """Module containing implementation of search algorithm for surrogate search """
+
 # Fitness functions are required to be iteratively defined, including all variables within.
 
 from operator import itemgetter

causal_testing/testing/base_test_case.py

@@ -1,4 +1,5 @@
 """This module contains the BaseTestCase dataclass, which stores the information required for identification"""
+
 from dataclasses import dataclass
 from causal_testing.specification.variable import Variable
 from causal_testing.testing.effect import Effect

causal_testing/testing/causal_test_adequacy.py

@@ -1,6 +1,7 @@
 """
 This module contains code to measure various aspects of causal test adequacy.
 """
+
 from itertools import combinations
 from copy import deepcopy
 import pandas as pd

causal_testing/testing/causal_test_case.py

@@ -1,4 +1,5 @@
 """This module contains the CausalTestCase class, a class that holds the information required for a causal test"""
+
 import logging
 from typing import Any
 import numpy as np