def main():
mod = ArgSchemaParserPlus(schema_type=InputParameters,
output_schema_type=OutputParameters)
output = subsample(mod.args)
output.update({"input_parameters": mod.args})
if "output_json" in mod.args:
mod.output(output, indent=2)
else:
logger.info(mod.get_output_json(output))
def main():
mod = ArgSchemaParserPlus(schema_type=InputParameters,
output_schema_type=OutputParameters)
output = align_timestamps(mod.args)
output.update({"input_parameters": mod.args})
if "output_json" in mod.args:
mod.output(output, indent=2)
else:
print(mod.get_output_json(output))
def main():
mod = ArgSchemaParserPlus(schema_type=InputParameters,
output_schema_type=OutputSchema)
output = build_stimulus_table(**mod.args)
output.update({"input_parameters": mod.args})
if "output_json" in mod.args:
mod.output(output, indent=2)
else:
print(mod.get_output_json(output))
subject_position=subject_position,
use_median_duration=use_median_duration)
raw_data = pd.DataFrame({
"vsig": vsig,
"vin": vin,
"frame_time": frame_times,
"dx": dx_deg
})
store = pd.HDFStore(output_path)
store.put("running_speed", velocities)
store.put("raw_data", raw_data)
store.close()
return {"output_path": output_path}
if __name__ == "__main__":
mod = ArgSchemaParserPlus(schema_type=InputParameters,
output_schema_type=OutputParameters)
output = main(**mod.args)
output.update({"input_parameters": mod.args})
if "output_json" in mod.args:
mod.output(output, indent=2)
else:
print(mod.get_output_json(output))