def duplicate_data(self, pipe_from=None, pipe_to=None, model_info=None, global_stats=False, verbose=True):
"""Duplicate the data specific to a single hybrid data pipe.
@keyword pipe_from: The data pipe to copy the data from.
@type pipe_from: str
@keyword pipe_to: The data pipe to copy the data to.
@type pipe_to: str
@keyword model_info: The model information from model_loop().
@type model_info: unknown
@keyword global_stats: The global statistics flag.
@type global_stats: bool
@keyword verbose: A flag which if True will cause info to be printed out.
@type verbose: bool
"""
# First create the pipe_to data pipe, if it doesn't exist, but don't switch to it.
if not pipes.has_pipe(pipe_to):
pipes.create(pipe_to, pipe_type='hybrid', switch=False)
# Get the data pipes.
dp_from = pipes.get_pipe(pipe_from)
dp_to = pipes.get_pipe(pipe_to)
# Test that the target data pipe has no sequence loaded.
if not exists_mol_res_spin_data(pipe_to):
raise RelaxSequenceError(pipe_to)
# Duplicate the hybrid pipe list data structure.
dp_to.hybrid_pipes = dp_from.hybrid_pipes
def duplicate_data(self,
pipe_from=None,
pipe_to=None,
model_info=None,
global_stats=False,
verbose=True):
"""Duplicate the data specific to a single hybrid data pipe.
@keyword pipe_from: The data pipe to copy the data from.
@type pipe_from: str
@keyword pipe_to: The data pipe to copy the data to.
@type pipe_to: str
@keyword model_info: The model information from model_loop().
@type model_info: unknown
@keyword global_stats: The global statistics flag.
@type global_stats: bool
@keyword verbose: A flag which if True will cause info to be printed out.
@type verbose: bool
"""
# First create the pipe_to data pipe, if it doesn't exist, but don't switch to it.
if not pipes.has_pipe(pipe_to):
pipes.create(pipe_to, pipe_type='hybrid', switch=False)
# Get the data pipes.
dp_from = pipes.get_pipe(pipe_from)
dp_to = pipes.get_pipe(pipe_to)
# Test that the target data pipe has no sequence loaded.
if not exists_mol_res_spin_data(pipe_to):
raise RelaxSequenceError(pipe_to)
# Duplicate the hybrid pipe list data structure.
dp_to.hybrid_pipes = dp_from.hybrid_pipes
def test_creation(self):
"""Test the creation of a data pipe.
The function used is pipe_control.pipes.create().
"""
# Create a new model-free data pipe.
name = 'new'
pipes.create(name, 'mf')
# Test that the data pipe exists.
self.assert_(name in ds)
# Test that the current pipe is the new pipe.
self.assertEqual(pipes.cdp_name(), name)
def test_creation(self):
"""Test the creation of a data pipe.
The function used is pipe_control.pipes.create().
"""
# Create a new model-free data pipe.
name = 'new'
pipes.create(name, 'mf')
# Test that the data pipe exists.
self.assert_(name in ds)
# Test that the current pipe is the new pipe.
self.assertEqual(pipes.cdp_name(), name)
def _hybridise(self, hybrid=None, pipe_list=None):
"""Create the hybrid data pipe.
@keyword hybrid: The name of the new hybrid data pipe.
@type hybrid: str
@keyword pipe_list: The list of data pipes that the hybrid is composed of.
@type pipe_list: list of str
"""
# Test if the hybrid data pipe already exists.
if hybrid in pipes.pipe_names():
raise RelaxPipeError(hybrid)
# Loop over the pipes to be hybridised and check them.
pipe_type = pipes.get_type(pipe_list[0])
for pipe in pipe_list:
# Switch to the data pipe.
pipes.switch(pipe)
# Test if the pipe exists.
check_pipe()
# Check that the pipe types match.
if pipes.get_type() != pipe_type:
raise RelaxError("The data pipe types do not match.")
# Test if sequence data is loaded.
if not exists_mol_res_spin_data():
raise RelaxNoSequenceError
# Check that the sequence data matches in all pipes.
for i in range(1, len(pipe_list)):
compare_sequence(pipe_list[0], pipe_list[1])
# Create the data pipe.
pipes.create(pipe_name=hybrid, pipe_type='hybrid')
# Store the pipe list forming the hybrid.
cdp.hybrid_pipes = pipe_list
def _hybridise(self, hybrid=None, pipe_list=None):
"""Create the hybrid data pipe.
@keyword hybrid: The name of the new hybrid data pipe.
@type hybrid: str
@keyword pipe_list: The list of data pipes that the hybrid is composed of.
@type pipe_list: list of str
"""
# Test if the hybrid data pipe already exists.
if hybrid in pipes.pipe_names():
raise RelaxPipeError(hybrid)
# Loop over the pipes to be hybridised and check them.
pipe_type = pipes.get_type(pipe_list[0])
for pipe in pipe_list:
# Switch to the data pipe.
pipes.switch(pipe)
# Test if the pipe exists.
check_pipe()
# Check that the pipe types match.
if pipes.get_type() != pipe_type:
raise RelaxError("The data pipe types do not match.")
# Test if sequence data is loaded.
if not exists_mol_res_spin_data():
raise RelaxNoSequenceError
# Check that the sequence data matches in all pipes.
for i in range(1, len(pipe_list)):
compare_sequence(pipe_list[0], pipe_list[1])
# Create the data pipe.
pipes.create(pipe_name=hybrid, pipe_type='hybrid')
# Store the pipe list forming the hybrid.
cdp.hybrid_pipes = pipe_list
