Bumping 0.4.1

docs/HISTORY.md

@@ -8,6 +8,19 @@ Around 2016-2017, Luke Sjulson started *TSToolbox2*, still in Matlab and which i
 In 2018, Francesco started neuroseries, a Python package built on Pandas. It was quickly adopted in Adrien's lab, especially by Guillaume Viejo, a postdoc in the lab. Gradually, the majority of the lab was using it and new functions were constantly added.
 In 2021, Guillaume and other trainees in Adrien's lab decided to fork from neuroseries and started *pynapple*. The core of pynapple is largely built upon neuroseries. Some of the original changes to TSToolbox made by Luke were included in this package, especially the *time_support* property of all ts/tsd objects.
 
+0.4.1 (2023-10-30)
+------------------
+
+- Implementing `get` method that return both an interval or the closest timepoint
+
+
+0.4.0 (2023-10-11)
+------------------
+
+- Implementing the numpy array container approach within pynapple
+- TsdTensor for objects larger than 2 dimensions is now available
+
+
 0.3.6 (2023-09-11)
 ------------------
 

pynapple/__init__.py

@@ -1,4 +1,4 @@
-__version__ = "0.4.0"
+__version__ = "0.4.1"
 from .core import *
 from .io import *
 from .process import *

pynapple/core/time_series.py

@@ -782,13 +782,13 @@ def get(self, start, end=None, time_units="s"):
                     return self[idx - 1]
                 else:
                     return self[idx]
-        else:                    
+        else:
             assert isinstance(end, Number), "end should be a float or int"
             assert start < end, "Start should not precede end"
             start, end = TsIndex.format_timestamps(np.array([start, end]), time_units)
             idx_start = np.searchsorted(time_array, start)
             idx_end = np.searchsorted(time_array, end, side="right")
-            return self[idx_start:idx_end]        
+            return self[idx_start:idx_end]
 
 
 class TsdTensor(NDArrayOperatorsMixin, _AbstractTsd):

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "pynapple"
-version = "0.4.0"
+version = "0.4.1"
 description = "PYthon Neural Analysis Package Pour Laboratoires d’Excellence"
 readme = "README.md"
 authors = [{ name = "Guillaume Viejo", email = "guillaume.viejo@gmail.com" }]

setup.py

@@ -61,8 +61,8 @@
     test_suite='tests',
     tests_require=test_requirements,
     url='https://github.com/pynapple-org/pynapple',
-    version='v0.4.0',
+    version='v0.4.1',
     zip_safe=False,
     long_description_content_type='text/markdown',
-    download_url='https://github.com/pynapple-org/pynapple/archive/refs/tags/v0.4.0.tar.gz'
+    download_url='https://github.com/pynapple-org/pynapple/archive/refs/tags/v0.4.1.tar.gz'
 )