Merge pull request #256 from AI-SDC/pre-commit-ci-update-config

[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -40,7 +40,7 @@ repos:
 
   # Sort includes
   - repo: https://github.com/asottile/pyupgrade
-    rev: v3.15.0
+    rev: v3.15.1
     hooks:
       - id: pyupgrade
 
@@ -53,7 +53,7 @@ repos:
 
   # Black format Python and notebooks
   - repo: https://github.com/psf/black
-    rev: 23.12.1
+    rev: 24.2.0
     hooks:
       - id: black-jupyter
 

aisdc/attacks/likelihood_attack.py

@@ -1,4 +1,5 @@
 """Likelihood testing scenario from https://arxiv.org/pdf/2112.03570.pdf."""
+
 # pylint: disable = invalid-name
 # pylint: disable = too-many-branches
 

aisdc/attacks/multiple_attacks.py

@@ -3,6 +3,7 @@
 and attribute inference attack using a single configuration file
 with multiple attack configuration.
 """
+
 from __future__ import annotations
 
 import argparse

aisdc/attacks/report.py

@@ -1,4 +1,5 @@
 """Code for automatic report generation."""
+
 import abc
 import json
 import os

aisdc/attacks/worst_case_attack.py

@@ -437,9 +437,9 @@ def _get_global_metrics(self, attack_metrics: list) -> dict:
                 0.5, m["n_pos_test_examples"], m["n_neg_test_examples"]
             )
 
-            global_metrics[
-                "null_auc_3sd_range"
-            ] = f"{0.5 - 3*auc_std:.4f} -> {0.5 + 3*auc_std:.4f}"
+            global_metrics["null_auc_3sd_range"] = (
+                f"{0.5 - 3*auc_std:.4f} -> {0.5 + 3*auc_std:.4f}"
+            )
             global_metrics["n_sig_auc_p_vals"] = self._get_n_significant(
                 auc_p_vals, self.p_thresh
             )
@@ -603,9 +603,9 @@ def _get_attack_metrics_instances(self) -> dict:
             attack_metrics_instances["instance_" + str(rep)] = self.attack_metrics[rep]
 
         attack_metrics_experiment["attack_instance_logger"] = attack_metrics_instances
-        attack_metrics_experiment[
-            "attack_metric_failfast_summary"
-        ] = self.attack_metric_failfast_summary.get_attack_summary()
+        attack_metrics_experiment["attack_metric_failfast_summary"] = (
+            self.attack_metric_failfast_summary.get_attack_summary()
+        )
 
         return attack_metrics_experiment
 
@@ -617,14 +617,14 @@ def _get_dummy_attack_metrics_experiments_instances(self) -> dict:
             temp_dummy_attack_metrics = self.dummy_attack_metrics[exp_rep]
             dummy_attack_metric_instances = {}
             for rep, _ in enumerate(temp_dummy_attack_metrics):
-                dummy_attack_metric_instances[
-                    "instance_" + str(rep)
-                ] = temp_dummy_attack_metrics[rep]
+                dummy_attack_metric_instances["instance_" + str(rep)] = (
+                    temp_dummy_attack_metrics[rep]
+                )
             temp = {}
             temp["attack_instance_logger"] = dummy_attack_metric_instances
-            temp[
-                "attack_metric_failfast_summary"
-            ] = self.dummy_attack_metric_failfast_summary[exp_rep].get_attack_summary()
+            temp["attack_metric_failfast_summary"] = (
+                self.dummy_attack_metric_failfast_summary[exp_rep].get_attack_summary()
+            )
             dummy_attack_metrics_experiments[
                 "dummy_attack_metrics_experiment_" + str(exp_rep)
             ] = temp
@@ -643,9 +643,9 @@ def make_report(self) -> dict:
         output["metadata"] = self.metadata
 
         output["attack_experiment_logger"] = self._get_attack_metrics_instances()
-        output[
-            "dummy_attack_experiments_logger"
-        ] = self._get_dummy_attack_metrics_experiments_instances()
+        output["dummy_attack_experiments_logger"] = (
+            self._get_dummy_attack_metrics_experiments_instances()
+        )
 
         report_dest = os.path.join(self.output_dir, self.report_name)
         json_attack_formatter = GenerateJSONModule(report_dest + ".json")

aisdc/safemodel/__init__.py

@@ -1,2 +1,3 @@
 """Empty file."""
+
 from .reporting import get_reporting_string

aisdc/safemodel/classifiers/__init__.py

@@ -1,4 +1,5 @@
 """Makes class for various models supported."""
+
 from .dp_svc import DPSVC
 from .safedecisiontreeclassifier import SafeDecisionTreeClassifier
 from .safekeras import SafeKerasModel

aisdc/safemodel/classifiers/dp_svc.py

@@ -3,6 +3,7 @@
 James Liley
 21/03/22.
 """
+
 import logging
 from typing import Any
 

aisdc/safemodel/classifiers/safekeras.py

@@ -2,6 +2,7 @@
  Jim Smith, Andrew McCarty and Richard Preen
  UWE 2022.
 """
+
 # general imports
 
 

aisdc/safemodel/classifiers/safetf.py

@@ -3,7 +3,6 @@
  When ready, linting of  the imports will be enabled.
 """
 
-
 # pylint: disable=unused-import
 from typing import Any
 

examples/lira_attack_example.py

@@ -28,6 +28,7 @@
 Invoke this code from the root AI-SDC folder with
 python -m examples.lira_attack_example
 """
+
 # pylint: disable = duplicate-code
 
 import json

examples/safemodel_attack_integration_bothcalls.py

@@ -2,6 +2,7 @@
 Invoke this code from the root AI-SDC folder with
 python -m examples.safemodel_attack_integration_bothcalls.
 """
+
 import logging
 
 import numpy as np

examples/worst_case_attack_example.py

@@ -19,6 +19,7 @@
 Invoke this code from the root AI-SDC folder with
 python -m examples.worst_case_attack_example
 """
+
 import json
 import os
 import sys

tests/test_lira_attack.py

@@ -1,6 +1,7 @@
 """Test_lira_attack.py
 Copyright (C) Jim Smith2022  <[email protected]>.
 """
+
 # pylint: disable = duplicate-code
 
 from __future__ import annotations

user_stories/user_story_2/user_story_2_tre.py

@@ -8,6 +8,7 @@
 
 NOTE: you should not need to change this file at all, set all parameters via the .yaml file
 """
+
 import argparse
 import importlib
 import os

user_stories/user_story_7/user_story_7_researcher_template.py

@@ -20,7 +20,6 @@
 - Researcher does not save the training/testing data, and therefore the TRE cannot verify the model
 """
 
-
 import logging
 import os