import mpids.MPInumpy as mpi_np
import numpy as np
from mpi4py import MPI
from operations import add, sub, mul, div
if __name__ == '__main__':
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
n_procs = comm.Get_size()
local_size = 2**16
size = n_procs * local_size
iters = 1000
mpi_np_arr = mpi_np.arange(size, dtype=np.float64)
add_time = add(mpi_np_arr, iters=iters)
sub_time = sub(mpi_np_arr, iters=iters)
mul_time = mul(mpi_np_arr, iters=iters)
div_time = div(mpi_np_arr, iters=iters)
if rank == 0:
print("mpi_np,add,%d,%d,%.9f" % (n_procs, local_size, add_time))
print("mpi_np,sub,%d,%d,%.9f" % (n_procs, local_size, sub_time))
print("mpi_np,mul,%d,%d,%.9f" % (n_procs, local_size, mul_time))
print("mpi_np,div,%d,%d,%.9f" % (n_procs, local_size, div_time))
import operations operations.add(5, 6) operations.mul(5, 6)
import operations as op x, y = 5, 10 print 'Using arguments:', x, y print 'Sum:', op.add(x, y) print 'Difference:', op.sub(arg1=x, arg2=y) print 'Difference again:', op.sub(arg2=x, arg1=y) x, y = 10.0, 0 print 'Using arguments:', x, y print 'Multiplication:', op.mul(x, x) print 'Division:', op.div(y, x) print 'Division:', op.div(x, y)
choice_simcalc = input(
"1.add\n2.sub\n3.mul\n4.div\n5.goback\nEnter your choice:")
if choice_simcalc == 1:
a = input("Enter first number:")
b = input("Enter second number:")
add = operations.add(a, b)
print "Addition of two numbers", a, "and", b, "is", add
elif choice_simcalc == 2:
a = input("Enter first number:")
b = input("Enter second number:")
sub = operations.sub(a, b)
print "Subtraction of two numbers", a, "and", b, "is", sub
elif choice_simcalc == 3:
a = input("Enter first number:")
b = input("Enter second number:")
mul = operations.mul(a, b)
print "Multiplication of two numbers", a, "and", b, "is", mul
elif choice_simcalc == 4:
a = input("Enter first number:")
b = input("Enter second number:")
div = operations.div(a, b)
print "Division of two numbers", a, "and", b, "is", div
elif choice_simcalc == 5:
os.system("clear")
break
else:
print "Invalid Option.Please enter again."
time.sleep(1)
os.system("clear")
continue
time.sleep(1)
import operations print(dir(operations)) print(operations.file()) print(operations.mul(4,7))
import mpids.MPInumpy as mpi_np
import numpy as np
from operations import add, sub, mul, div
if __name__ == '__main__':
for power in range(0, 28):
variable_iters = 10000 if power < 18 else 10
size = 2**power
mpi_np_arr = mpi_np.arange(size, dtype=np.float64)
print("mpi_np,add,%d,%.9f" %
(size, add(mpi_np_arr, iters=variable_iters)))
print("mpi_np,sub,%d,%.9f" %
(size, sub(mpi_np_arr, iters=variable_iters)))
print("mpi_np,mul,%d,%.9f" %
(size, mul(mpi_np_arr, iters=variable_iters)))
print("mpi_np,div,%d,%.9f" %
(size, div(mpi_np_arr, iters=variable_iters)))
del mpi_np_arr
def apply(self, grad_vars):
a = []
for v, g in grad_vars.items():
a.append(op.assign(op.sub(v, op.mul(g, self.learn_rate)), v))
return op.Group(a)
import numpy as np
from operations import add, sub, mul, div
if __name__ == '__main__':
for power in range(0, 28):
variable_iters = 10000 if power < 18 else 10
size = 2**power
np_arr = np.arange(size, dtype=np.float64)
print("np,add,%d,%.9f" % (size, add(np_arr, iters=variable_iters)))
print("np,sub,%d,%.9f" % (size, sub(np_arr, iters=variable_iters)))
print("np,mul,%d,%.9f" % (size, mul(np_arr, iters=variable_iters)))
print("np,div,%d,%.9f" % (size, div(np_arr, iters=variable_iters)))
del np_arr
# Approach 1: import operations operations.add(10, 20) operations.mul(100, 200) # 30 20000 # Approach 2: from operations import add, mul add(40, 50) mul(5, 20) # 90 100 # Approach 3: from operations import * add(10, 10) mul(10, 10) # 20 100
import operations a = operations.add(11, 22) b = operations.sub(22, 11) c = operations.mul(11, 2) d = operations.div(22, 2) print a print b print c print d print operations.PI from my_math.geo.circle import area result = area(12) print result import my_math.geo.square as sq_area result = sq_area.area(12) print result