[pre-commit.ci] pre-commit autoupdate (fastmachinelearning#1182)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/psf/black: 24.10.0 → 25.1.0](psf/black@24.10.0...25.1.0)
- [github.com/PyCQA/isort: 5.13.2 → 6.0.0](PyCQA/isort@5.13.2...6.0.0)

* [pre-commit.ci] auto fixes from pre-commit hooks

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Jan-Frederik Schulte <[email protected]>

Author: pre-commit-ci[bot]

.pre-commit-config.yaml

@@ -2,7 +2,7 @@ exclude: (^hls4ml\/templates\/(vivado|quartus)\/(ap_types|ac_types)\/|^test/pyte
 
 repos:
 - repo: https://github.com/psf/black
-  rev: 24.10.0
+  rev: 25.1.0
   hooks:
   - id: black
     language_version: python3
@@ -30,7 +30,7 @@ repos:
   - id: trailing-whitespace
 
 - repo: https://github.com/PyCQA/isort
-  rev: 5.13.2
+  rev: 6.0.0
   hooks:
   - id: isort
 

hls4ml/backends/oneapi/passes/clone_templates.py

@@ -1,5 +1,4 @@
-""" The clone templates in the fpga backend are not enough for oneAPI, so this adds the missing parts
-"""
+"""The clone templates in the fpga backend are not enough for oneAPI, so this adds the missing parts"""
 
 from hls4ml.backends.fpga.passes.clone import Clone
 from hls4ml.backends.oneapi.oneapi_template import StreamFunctionCallTemplate, TaskSequenceTemplate

hls4ml/contrib/kl_layer/kl_layer.py

@@ -1,10 +1,10 @@
 """
-    Usage example for a custom KL loss layer
-    Takes as an input two arrays: z_mean and z_log_var
-    and computes KL "distance" between normal distribution
-    and Gaussian with mu=z_mean and sigma=z_log_var
+Usage example for a custom KL loss layer
+Takes as an input two arrays: z_mean and z_log_var
+and computes KL "distance" between normal distribution
+and Gaussian with mu=z_mean and sigma=z_log_var
 
-    The HLS part is in contrib/kl_layer/kl_layer.h
+The HLS part is in contrib/kl_layer/kl_layer.h
 """
 
 from pathlib import Path

hls4ml/report/vivado_report.py

@@ -502,7 +502,7 @@ def _convert_cycles_to_time(n_cycles, clock_period):
 
     time_in_us = time_in_ns / 1000
     if time_in_us < 1000:
-        return str(time_in_us) + ' \u00B5s'
+        return str(time_in_us) + ' \u00b5s'
 
     time_in_ms = time_in_us / 1000
     if time_in_ms < 1000:

test/pytest/test_keras_nested_model.py

@@ -1,5 +1,4 @@
-""" Test that nested models in Keras is properly parsed and expanded by the optimizers.
-"""
+"""Test that nested models in Keras is properly parsed and expanded by the optimizers."""
 
 from pathlib import Path
 

test/pytest/test_pipeline_style.py

@@ -1,4 +1,4 @@
-""" Test that pipeline style is properly handled by optimizers (respected if user-defined, correctly set if 'auto'). """
+"""Test that pipeline style is properly handled by optimizers (respected if user-defined, correctly set if 'auto')."""
 
 from pathlib import Path
 

test/pytest/test_reshape.py

@@ -1,5 +1,4 @@
-""" Test that reshape is properly handled by optimizers.
-"""
+"""Test that reshape is properly handled by optimizers."""
 
 from pathlib import Path