def set_globals():
global matrix_a_data, matrix_b_data
global matrix_a, matrix_b
matrix_a_data = db.read_data(MATRIX_A_DATA_FILENAME)
matrix_b_data = db.read_data(MATRIX_B_DATA_FILENAME)
matrix_a = mp_init_matrix(MATRIX_SIZE, matrix_a_data)
matrix_b = mp_init_matrix(MATRIX_SIZE, matrix_b_data)
def set_globals():
global matrix_a_data, matrix_b_data
global matrix_a, matrix_b
matrix_a_data = db.read_data(MATRIX_A_DATA_FILENAME)
matrix_b_data = db.read_data(MATRIX_B_DATA_FILENAME)
matrix_a = init_matrix(MATRIX_SIZE, matrix_a_data)
matrix_b = init_matrix(MATRIX_SIZE, matrix_b_data)
import math
import threading
from ppp.utils import db
from ppp.utils.decorators import timing
from ppp.settings import OVERHEAD
from .data.settings import DATA_FILENAME
NUM_THREADS = OVERHEAD.NUM_THREADS
target_list = db.read_data(DATA_FILENAME)
points = {}
distances = {}
lock = threading.Lock()
max_distance = -1
min_distance = -1
def worker(target_slice):
global max_distance, min_distance
for row in target_slice:
# row[0]: origin; row[1]: destination; row[2]: distance
lock.acquire()
#print max_distance
if int(row[2]) > max_distance:
max_distance = int(row[2])
if int(row[2]) < min_distance or min_distance == -1:
min_distance = int(row[2])
lock.release()
for row in target_slice:
lock.acquire()
def main():
global target_list
target_list = db.read_data(DATA_FILENAME)
proc()
output_filename = db.get_output_path(DATA_FILENAME, 'output_mt')
db.write_data(output_filename, target_list)
import math
import threading
from ppp.utils import db
from ppp.utils.decorators import timing
from ppp.settings import OVERHEAD
from .data.settings import DATA_FILENAME
NUM_THREADS = OVERHEAD.NUM_THREADS
target_list = db.read_data(DATA_FILENAME)
points = {}
distances = {}
lock = threading.Lock()
max_distance = -1
min_distance = -1
def worker(target_slice):
global max_distance, min_distance
for row in target_slice:
# row[0]: origin; row[1]: destination; row[2]: distance
lock.acquire()
#print max_distance
if int(row[2]) > max_distance:
max_distance = int(row[2])
if int(row[2]) < min_distance or min_distance == -1:
min_distance = int(row[2])
lock.release()
for row in target_slice:
def main():
global target_list
target_list = db.read_data(DATA_FILENAME)
proc()
output_filename = db.get_output_path(DATA_FILENAME, 'output_mt')
db.write_data(output_filename, target_list)