linted

maniospas · maniospas · commit 59b6b8c663b4 · 2026-03-18T00:36:07.000+02:00
diff --git a/README.md b/README.md
@@ -11,8 +11,8 @@
 ## Who is this for?
 
 - **ML engineers and data scientists** building or evaluating models in Python.
-- **Bias auditors and compliance teams** needing standardized, traceable fairness reports.
 - **Researchers** studying AI bias across data modalities (tabular, vision, LLMs, etc).
+- **Bias auditors and compliance teams** needing standardized, traceable fairness reports, and system comparison across different datasets, parameters, and over time.
 - **Policymakers and analysts** who want reproducible evidence for decision‑making. Consider using the low‑code MAI‑BIAS toolkit for a higher level perspective.
 
 ## About
diff --git a/fairbench/bench/text/datasets.py b/fairbench/bench/text/datasets.py
@@ -35,15 +35,13 @@ def simplequestions(
     n=1000,
     overwrite=False,
 ):
-    warnings.warn(
-        """
+    warnings.warn("""
     DISCLAIMER: You are using FairBench for LLM assessment.
     Prompts and prompt templates may reflect biases, for example by being deliberately engineered to attempt to induce 
     more biased answers than normal. This is done so that discrepancies between groups, or between biased and unbiased 
     behavior, can be uncovered by qualitative and quantitative assessment. This warning is shown to promote responsible
     usage.
-    """
-    )
+    """)
     if os.path.exists(cache) and not overwrite:
         with open(cache, "r") as file:
             dataset = json.load(file)
diff --git a/fairbench/v1/reports/accumulate.py b/fairbench/v1/reports/accumulate.py
@@ -1,7 +1,6 @@
 from fairbench.v1.core import comparator, parallel_primitive, astensor, merge
 import eagerpy as ep
 
-
 """
 This module provides helper methods to concatenate tensors stored within Forks of tensor or Forks of dicts of tensors
 and use the final output in one report at the end.
diff --git a/fairbench/v2/export/formats/html_bars.py b/fairbench/v2/export/formats/html_bars.py
@@ -233,17 +233,15 @@ def _render_individual_tables(self):
             header_cells = "".join(
                 f"<th style='width:{self.cell_width_px}px;'>{x}</th>" for x in x_labels
             )
-            html_sections.append(
-                f"""
+            html_sections.append(f"""
             <div style="margin:20px;">
                 <h2 style="font-family:sans-serif;">{title}</h2>
                 <table style="border-collapse:collapse;font-family:sans-serif;">
                     <tr><th></th>{header_cells}</tr>
                     {''.join(rows_html)}
                 </table>
             </div>
-            """
-            )
+            """)
 
         self.bar_contents = [f"<html><body>{''.join(html_sections)}</body></html>"]
 
diff --git a/fairbench/v2/reports/adhoc.py b/fairbench/v2/reports/adhoc.py
@@ -4,7 +4,6 @@
 from fairbench.v1 import core as deprecated
 import numpy as np
 
-
 all_measures = [
     blocks.measures.acc,
     blocks.measures.pr,
diff --git a/playground/objworks/atpercentages.py b/playground/objworks/atpercentages.py
@@ -2,7 +2,6 @@
 import fairbench as fb1
 import numpy as np
 
-
 comparison = fb.Progress("settings")
 for test_size in np.arange(0.1, 1, 0.1):
     x, y, yhat = fb1.bench.tabular.bank(test_size=test_size)
diff --git a/playground/v1/basics/basics.py b/playground/v1/basics/basics.py
@@ -1,6 +1,5 @@
 import fairbench.v1 as fb
 
-
 test, y, scores = fb.bench.tabular.adult(predict="probabilities")
 yhat = scores > 0.5
 sensitive = fb.Fork(fb.categories @ test[8], fb.categories @ test[9])
