Source code for neuroconv.datainterfaces.ecephys.spike2.spike2datainterface

import warnings
from pathlib import Path

from pydantic import FilePath, validate_call

from ..baserecordingextractorinterface import BaseRecordingExtractorInterface
from ....tools import get_package
from ....utils import get_json_schema_from_method_signature


def _test_sonpy_installation() -> None:
    get_package(
        package_name="sonpy",
        excluded_python_versions=["3.10", "3.11"],
        excluded_platforms_and_python_versions=dict(darwin=dict(arm=["3.9", "3.10", "3.11", "3.12"])),
    )


[docs] class Spike2RecordingInterface(BaseRecordingExtractorInterface): """ Data interface class for converting Spike2 data from CED (Cambridge Electronic Design) Uses :py:func:`~spikeinterface.extractors.read_ced` from SpikeInterface. """ display_name = "Spike2 Recording" keywords = BaseRecordingExtractorInterface.keywords + ("CED",) associated_suffixes = (".smrx",) info = "Interface for Spike2 recording data from CED (Cambridge Electronic Design)."
[docs] @classmethod def get_extractor_class(cls): from spikeinterface.extractors.extractor_classes import CedRecordingExtractor return CedRecordingExtractor
[docs] @classmethod def get_source_schema(cls) -> dict: source_schema = get_json_schema_from_method_signature(method=cls.__init__, exclude=["smrx_channel_ids"]) source_schema.update(additionalProperties=True) source_schema["properties"]["file_path"].update(description="Path to .smrx file.") return source_schema
[docs] @classmethod def get_all_channels_info(cls, file_path: FilePath): """ Retrieve and inspect necessary channel information prior to initialization. Parameters ---------- file_path : FilePath Path to .smr or .smrx file. Returns ------- dict Dictionary containing information about all channels in the Spike2 file. """ _test_sonpy_installation() from spikeinterface.extractors.extractor_classes import CedRecordingExtractor return CedRecordingExtractor.get_all_channels_info(file_path=file_path)
@validate_call def __init__( self, file_path: FilePath, *args, verbose: bool = False, es_key: str = "ElectricalSeries" ): # TODO: change to * (keyword only) on or after August 2026 """ Initialize reading of Spike2 file. Parameters ---------- file_path : FilePath Path to .smr or .smrx file. verbose : bool, default: False es_key : str, default: "ElectricalSeries" """ # Handle deprecated positional arguments if args: parameter_names = [ "verbose", "es_key", ] num_positional_args_before_args = 1 # file_path if len(args) > len(parameter_names): raise TypeError( f"__init__() takes at most {len(parameter_names) + num_positional_args_before_args + 1} positional arguments but " f"{len(args) + num_positional_args_before_args + 1} were given. " "Note: Positional arguments are deprecated and will be removed on or after August 2026. " "Please use keyword arguments." ) positional_values = dict(zip(parameter_names, args)) passed_as_positional = list(positional_values.keys()) warnings.warn( f"Passing arguments positionally to Spike2RecordingInterface.__init__() is deprecated " f"and will be removed on or after August 2026. " f"The following arguments were passed positionally: {passed_as_positional}. " "Please use keyword arguments instead.", FutureWarning, stacklevel=2, ) verbose = positional_values.get("verbose", verbose) es_key = positional_values.get("es_key", es_key) _test_sonpy_installation() stream_id = "1" if Path(file_path).suffix == ".smr" else None super().__init__(file_path=file_path, stream_id=stream_id, verbose=verbose, es_key=es_key) # Subset raw channel properties signal_channels = self.recording_extractor.neo_reader.header["signal_channels"] channel_ids_of_raw_data = [channel_info[1] for channel_info in signal_channels if channel_info[4] == "mV"] self.recording_extractor = self.recording_extractor.select_channels(channel_ids=channel_ids_of_raw_data)