fixing black linting

docs/HISTORY.md

@@ -14,6 +14,7 @@ In 2021, Guillaume and other trainees in Adrien's lab decided to fork from neuro
 
 - Refactoring `IntervalSet` to pure numpy ndarray.
 - Implementing new chain of inheritance for time series with abstract base class. `base_class.Base` holds the temporal methods for all time series and `Ts`. `time_series.BaseTsd` inherit `Base` and implements the common methods for `Tsd`, `TsdFrame` and `Tsd`.
+- Automatic conversion to numpy ndarray for all objects that are numpy-like (typically jax).
 
 
 0.5.1 (2024-01-29)

pynapple/core/_jitted_functions.py

@@ -886,9 +886,9 @@ def jitcontinuous_perievent(
                     left = np.minimum(windowsize[0], t_pos - start_t[k, 0])
                     right = np.minimum(windowsize[1], maxt - t_pos - 1)
                     center = windowsize[0] + 1
-                    new_data_array[
-                        center - left - 1 : center + right, cnt_i
-                    ] = data_array[t_pos - left : t_pos + right + 1]
+                    new_data_array[center - left - 1 : center + right, cnt_i] = (
+                        data_array[t_pos - left : t_pos + right + 1]
+                    )
 
                     t -= 1
                     i += 1

pynapple/core/time_series.py

@@ -14,6 +14,7 @@
     Most of the same functions are available through all classes. Objects behaves like numpy.ndarray. Slicing can be done the same way for example 
     `tsd[0:10]` returns the first 10 rows. Similarly, you can call any numpy functions like `np.mean(tsd, 1)`.
 """
+
 import abc
 import importlib
 import os

pynapple/core/ts_group.py

@@ -4,7 +4,6 @@
 
 """
 
-
 import os
 import warnings
 from collections import UserDict

pyproject.toml

@@ -45,7 +45,7 @@ repository = "https://github.com/pynapple-org/pynapple"
 ##########################################################################
 [project.optional-dependencies]
 dev = [
-    "black>=24.1.0",                # Code formatter
+    "black>=24.2.0",                # Code formatter
     "isort",                        # Import sorter
     "pip-tools",                    # Dependency management
     "pytest",                       # Testing framework