def setup(n_cores):
global partition_manager
partition_manager = util.PartitionManager()
front_end.setup(
n_chips_required=n_cores // globals.cores_per_chip,
model_binary_folder=util.absolute_path_from_home(),
machine_time_step=globals.machine_time_step,
time_scale_factor=globals.time_scale_factor,
)
__add_db_sock()
available_cores = \
front_end.get_number_of_available_cores_on_machine()
if available_cores <= n_cores:
raise KeyError(
"SpiNNaker doesn't have enough cores to run Model")
'''-----------------------------------------------------------------------------------------------------'''
#read the csv data with help form the parser class
getData = parser('../../resources/date.csv')
raw_data = getData.read_data()
logger = logging.getLogger(__name__)
front_end.setup(
n_chips_required=None, model_binary_folder=os.path.dirname(__file__))
'''
calculate total number of 'free' cores for the given board
(i.e. does not include those busy with SARK or reinjection)'''
total_number_of_cores = \
front_end.get_number_of_available_cores_on_machine()
#param1: data
#param2: number of chips used
#param3: what columns to use
#param4: how many string columns exist?
#param5: function id
load_data_onto_vertices(raw_data, 1, [0], 1, 2)
front_end.run(10000)
placements = front_end.placements()
buffer_manager = front_end.buffer_manager()
#write_unique_ids_to_csv(getData,1,len(raw_data))
#display_linked_list_size()
