blueetl.converters.convert_spikes

Convert a spikes file by generating synthetic circuit, simulation, and simulation campaign.

Functions

main(input_file, output_dir, node_population)

Read a CSV file containing the spikes, and write synthetic files to be used with BlueETL.

Classes

DataStats(rows, unique_ids, min_id, max_id, ...)	Statistics on the imported spikes.
OutputPaths(base)	Output paths.

class blueetl.converters.convert_spikes.DataStats(rows: int, unique_ids: int, min_id: int, max_id: int, min_timestamp: float, max_timestamp: float)

Bases: object

Statistics on the imported spikes.

class blueetl.converters.convert_spikes.OutputPaths(base: Path)

Bases: object

Output paths.

property analysis_config_path: Path

Return the analysis_config_path.

property circuit_config_path: Path

Return the circuit_config_path.

property circuit_path: Path

Return the circuit_path.

mkdirs()

Create the directories.

property node_sets_path: Path

Return the node_sets_path.

property nodes_path: Path

Return the nodes_path.

property simulation_campaign_config_path: Path

Return the simulation_campaign_config_path.

property simulation_config_path: Path

Return the simulation_config_path.

property simulation_path: Path

Return the simulation_path.

property spikes_path: Path

Return the spikes_path.

blueetl.converters.convert_spikes.main(input_file: Path, output_dir: Path, node_population: str) → None

Read a CSV file containing the spikes, and write synthetic files to be used with BlueETL.

Expected output files:

├── analysis_config.yaml ├── circuit │ ├── circuit_config.json │ ├── node_sets.json │ └── synthetic_nodes.h5 ├── simulation │ ├── simulation_config.json │ └── synthetic_spikes.h5 └── simulation_campaign_config.json