def run(self, processor, completed=False):
"""Essential method for performing calculations on the slave processors.
@param processor: The slave processor object.
@type processor: Processor instance
@keyword completed: A flag specifying if the slave calculation is completed. This is currently meaningless, but will be passed to this run() method anyway so it needs to be present.
@type completed: bool
"""
# Get the invariant data from this slave's data store.
vect = fetch_data('vect')
# Perform some random useless time-consuming stuff.
num_calcs = 0
for i in range(self.N):
# Random rotation matrix.
R_random_hypersphere(self.R)
# Rotate the vector.
new_vect = dot(self.R, vect)
# The length sum.
self.length += norm(new_vect)
# Keep track of the number of calculations.
num_calcs += 1
# Process the results on the master.
processor.return_object(Test_result_command(processor, memo_id=self.memo_id, num=num_calcs, length=self.length))
def run(self, processor, completed=False):
"""Essential method for performing calculations on the slave processors.
@param processor: The slave processor object.
@type processor: Processor instance
@keyword completed: A flag specifying if the slave calculation is completed. This is currently meaningless, but will be passed to this run() method anyway so it needs to be present.
@type completed: bool
"""
# Get the invariant data from this slave's data store.
vect = fetch_data('vect')
# Perform some random useless time-consuming stuff.
num_calcs = 0
for i in range(self.N):
# Random rotation matrix.
R_random_hypersphere(self.R)
# Rotate the vector.
new_vect = dot(self.R, vect)
# The length sum.
self.length += norm(new_vect)
# Keep track of the number of calculations.
num_calcs += 1
# Process the results on the master.
processor.return_object(Test_result_command(processor, memo_id=self.memo_id, num=num_calcs, length=self.length))
def run(self):
"""This required method executes the entire program."""
# Send the invariant data to the slaves' data stores.
send_data_to_slaves('vect', self.vect)
# Initialise the Processor box singleton.
processor_box = Processor_box()
# Loop over the slaves.
num = processor_box.processor.processor_size()
for i in range(num):
# Partition out the calculations to one slave.
slave = Test_slave_command(N=self.N/num)
# Initialise the memo object.
memo = Test_memo(name="Memo_"+repr(i), sum_fn=self.sum_fn)
# Queue the slave command and its memo.
processor_box.processor.add_to_queue(slave, memo)
# Execute the calculations, waiting for completion.
processor_box.processor.run_queue()
# Calculate the average length.
ave_len = fetch_data('total_length') / self.N
# Final program printout.
print("\n\nTotal number of calculations: %s" % self.num)
print("Real length: %s" % self.real_length)
print("Averaged vector length: %s" % ave_len)
def run(self):
"""This required method executes the entire program."""
# Send the invariant data to the slaves' data stores.
send_data_to_slaves('vect', self.vect)
# Initialise the Processor box singleton.
processor_box = Processor_box()
# Loop over the slaves.
num = processor_box.processor.processor_size()
for i in range(num):
# Partition out the calculations to one slave.
slave = Test_slave_command(N=self.N/num)
# Initialise the memo object.
memo = Test_memo(name="Memo_"+repr(i), sum_fn=self.sum_fn)
# Queue the slave command and its memo.
processor_box.processor.add_to_queue(slave, memo)
# Execute the calculations, waiting for completion.
processor_box.processor.run_queue()
# Calculate the average length.
ave_len = fetch_data('total_length') / self.N
# Final program printout.
print("\n\nTotal number of calculations: %s" % self.num)
print("Real length: %s" % self.real_length)
print("Averaged vector length: %s" % ave_len)
