def from_xml(self, diff_tensor_node, file_version=1):
"""Recreate the diffusion tensor data structure from the XML diffusion tensor node.
@param diff_tensor_node: The diffusion tensor XML node.
@type diff_tensor_node: xml.dom.minicompat.Element instance
@keyword file_version: The relax XML version of the XML file.
@type file_version: int
"""
# First set the diffusion type. Doing this first is essential for the proper reconstruction of the object.
self.__dict__['type'] = str(diff_tensor_node.getAttribute('type'))
# A temporary object to pack the structures from the XML data into.
temp_obj = Element()
# Recreate all the other data structures (into the temporary object).
xml_to_object(diff_tensor_node, temp_obj, file_version=file_version)
# Loop over all modifiable objects in the temporary object and make soft copies of them.
for name in self._mod_attr:
# Skip if missing from the object.
if not hasattr(temp_obj, name):
continue
# The category.
if search('_err$', name):
category = 'err'
param = name.replace('_err', '')
elif search('_sim$', name):
category = 'sim'
param = name.replace('_sim', '')
else:
category = 'val'
param = name
# Get the object.
value = getattr(temp_obj, name)
# Normal parameters.
if category == 'val':
self.set(param=param, value=value)
# Errors.
elif category == 'err':
self.set(param=param, value=value, category='err')
# Simulation objects objects.
else:
# Recreate the list elements.
for i in range(len(value)):
self.set(param=param,
value=value[i],
category='sim',
sim_index=i)
# Delete the temporary object.
del temp_obj
def add(self, type=None):
"""Add a new analysis type.
@keyword type: The analysis type. This can be currently one of 'noe', 'r1', 'r2', or 'model-free'.
@type type: str
@return: The index of the data container added to the list.
@rtype: int
"""
# Append an empty element.
self.append(Element(name='analysis', desc='GUI information for a relax analysis'))
# Set the analysis type.
self[-1].analysis_type = type
# Return the index of the container.
return len(self)-1
def from_xml(self, align_tensor_super_node, file_version=1):
"""Recreate the alignment tensor data structure from the XML alignment tensor node.
@param align_tensor_super_node: The alignment tensor XML nodes.
@type align_tensor_super_node: xml.dom.minicompat.Element instance
@keyword file_version: The relax XML version of the XML file.
@type file_version: int
"""
# Recreate all the alignment tensor data structures.
xml_to_object(align_tensor_super_node,
self,
file_version=file_version,
blacklist=['align_tensor'])
# Get the individual tensors.
align_tensor_nodes = align_tensor_super_node.getElementsByTagName(
'align_tensor')
# Loop over the child nodes.
for align_tensor_node in align_tensor_nodes:
# Add the alignment tensor data container.
self.add_item(align_tensor_node.getAttribute('name'))
# A temporary object to pack the structures from the XML data into.
temp_obj = Element()
# Recreate all the other data structures (into the temporary object).
xml_to_object(align_tensor_node,
temp_obj,
file_version=file_version)
# Loop over all modifiable objects in the temporary object and make soft copies of them.
for name in self[-1]._mod_attr:
# Skip if missing from the object.
if not hasattr(temp_obj, name):
continue
# The category.
if search('_err$', name):
category = 'err'
param = name.replace('_err', '')
elif search('_sim$', name):
category = 'sim'
param = name.replace('_sim', '')
else:
category = 'val'
param = name
# Get the object.
value = getattr(temp_obj, name)
# Normal parameters.
if category == 'val':
self[-1].set(param=param,
value=value,
category=category,
update=False)
# Errors.
elif category == 'err':
self[-1].set(param=param,
value=value,
category=category,
update=False)
# Simulation objects objects.
else:
# Set the simulation number if needed.
if not hasattr(self[-1],
'_sim_num') or self[-1]._sim_num == None:
self[-1].set_sim_num(len(value))
# Recreate the list elements.
for i in range(len(value)):
self[-1].set(param=param,
value=value[i],
category=category,
sim_index=i,
update=False)
# Update the data structures.
for target, update_if_set, depends in dependency_generator():
self[-1]._update_object(param, target, update_if_set,
depends, category)
# Delete the temporary object.
del temp_obj
