Merge branch 'master' into py-314

Author: zm711

codemeta.json

@@ -4,15 +4,15 @@
   "license": "https://spdx.org/licenses/BSD-3-Clause",
   "codeRepository": "https://github.com/NeuralEnsemble/python-neo",
   "contIntegration": "https://github.com/NeuralEnsemble/python-neo/actions",
-  "dateModified": "2025-07-08",
-  "downloadUrl": "https://files.pythonhosted.org/packages/0e/47/ebc266619ea7f1e8025ba057ab446c14423b1265ec9c6810fa3a3fb02de4/neo-0.14.2.tar.gz",
+  "dateModified": "2025-10-13",
+  "downloadUrl": "https://files.pythonhosted.org/packages/12/74/2906034ce92f7fb76dac5f095dcbb2b061f55b1f6eda53fc45335c1689e2/neo-0.14.3.tar.gz",
   "issueTracker": "https://github.com/NeuralEnsemble/python-neo/issues",
   "name": "Neo",
-  "version": "0.14.2",
+  "version": "0.14.3",
   "identifier": "RRID:SCR_000634",
   "description": "Neo is a Python package for working with electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5.\n\nThe goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization.\n\nNeo is used by a number of other software tools, including SpykeViewer (data analysis and visualization), Elephant (data analysis), the G-node suite (databasing), PyNN (simulations), tridesclous_ (spike sorting) and ephyviewer (data visualization).\n\nNeo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes). Neo's data objects build on the quantities package, which in turn builds on NumPy by adding support for physical dimensions. Thus Neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion.",
   "applicationCategory": "neuroscience",
-  "releaseNotes": "https://neo.readthedocs.io/en/latest/releases/0.14.2.html",
+  "releaseNotes": "https://neo.readthedocs.io/en/latest/releases/0.14.3.html",
   "funding": "https://cordis.europa.eu/project/id/945539",
   "developmentStatus": "active",
   "referencePublication": "https://doi.org/10.3389/fninf.2014.00010",

neo/rawio/baserawio.py

@@ -94,7 +94,7 @@
 ]
 # To be left an empty array if the concept of buffer is undefined for a reader.
 _signal_stream_dtype = [
-    ("name", "U64"),  # not necessarily unique
+    ("name", "U128"),  # not necessarily unique
     ("id", "U64"),  # must be unique
     (
         "buffer_id",

neo/rawio/spikeglxrawio.py

@@ -695,9 +695,12 @@ def extract_stream_info(meta_file, meta):
     # Calculate sample_length from actual file size instead of metadata to handle stub/modified files
     # The metadata fileSizeBytes may not match the actual .bin file (e.g., in test stub files)
     # Original calculation (only correct for unmodified files):
-    # info["sample_length"] = int(meta["fileSizeBytes"]) // 2 // num_chan
-    actual_file_size = Path(meta_file).with_suffix(".bin").stat().st_size
-    info["sample_length"] = actual_file_size // 2 // num_chan  # 2 bytes per int16 sample
+    bin_file = Path(meta_file).with_suffix(".bin")
+    if bin_file.exists():
+        file_size = bin_file.stat().st_size
+    else:
+        file_size = int(meta["fileSizeBytes"])
+    info["sample_length"] = file_size // 2 // num_chan  # 2 bytes per int16 sample
     info["gate_num"] = gate_num
     info["trigger_num"] = trigger_num
     info["device"] = device

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "neo"
-version = "0.14.3"
+version = "0.15.0.dev0"
 authors = [{name = "Neo authors and contributors"}]
 description = "Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats"
 readme = "README.rst"