def __init__(self):
"""Initialise the class by placing API_common methods into the API."""
# Place methods into the API.
self.get_model_container = self._get_model_container_cdp
self.model_loop = self._model_loop_single_global
self.overfit_deselect = self._overfit_deselect_dummy
self.print_model_title = self._print_model_title_global
self.set_selected_sim = self._set_selected_sim_global
self.sim_return_selected = self._sim_return_selected_global
# Place a copy of the parameter list object in the instance namespace.
self._PARAMS = N_state_params()
def return_parameter_object(analysis_type=None, pipe_name=None):
"""Return the specific analysis API parameter object corresponding to the function type.
@keyword analysis_type: The specific analysis type. This overrides the pipe_name argument.
@type analysis_type: str or None
@keyword pipe_name: The name of the data pipe to obtain the analysis type from. This is ignored if the analysis_type argument is given. If both arguments are None, then the current data pipe will be used.
"""
# The analysis type, if not given.
if analysis_type is None:
# Check if a data pipe exists.
check_pipe()
# Use a custom data pipe name.
if pipe_name:
analysis_type = ds[pipe_name].pipe_type
# Use the current data pipe.
else:
analysis_type = cdp.pipe_type
# Consistency testing.
if analysis_type == 'ct':
from specific_analyses.consistency_tests.parameter_object import Consistency_tests_params
return Consistency_tests_params()
# The Frame Order theories.
elif analysis_type == 'frame order':
from specific_analyses.frame_order.parameter_object import Frame_order_params
return Frame_order_params()
# Hybrid models.
elif analysis_type == 'hybrid':
from specific_analyses.hybrid import Hybrid_params
return Hybrid_params()
# Reduced spectral density mapping.
elif analysis_type == 'jw':
from specific_analyses.jw_mapping.parameter_object import Jw_mapping_params
return Jw_mapping_params()
# Model-free analysis.
elif analysis_type == 'mf':
from specific_analyses.model_free.parameter_object import Model_free_params
return Model_free_params()
# The N-state model.
elif analysis_type == 'N-state':
from specific_analyses.n_state_model.parameter_object import N_state_params
return N_state_params()
# NOE calculation.
elif analysis_type == 'noe':
from specific_analyses.noe.parameter_object import Noe_params
return Noe_params()
# Relaxation dispersion curve fitting.
elif analysis_type == 'relax_disp':
from specific_analyses.relax_disp.parameter_object import Relax_disp_params
return Relax_disp_params()
# Relaxation curve fitting.
elif analysis_type == 'relax_fit':
from specific_analyses.relax_fit.parameter_object import Relax_fit_params
return Relax_fit_params()
# Unknown analysis.
else:
raise RelaxError("The analysis type '%s' is unknown." % analysis_type)
###############################################################################
# Module docstring.
"""The value user function definitions."""
# Python module imports.
from os import sep
# relax module imports.
from graphics import WIZARD_IMAGE_PATH
from pipe_control import pipes, value
from specific_analyses.consistency_tests.parameter_object import Consistency_tests_params; consistency_test_params = Consistency_tests_params()
from specific_analyses.frame_order.parameter_object import Frame_order_params; frame_order_params = Frame_order_params()
from specific_analyses.jw_mapping.parameter_object import Jw_mapping_params; jw_mapping_params = Jw_mapping_params()
from specific_analyses.model_free.parameter_object import Model_free_params; model_free_params = Model_free_params()
from specific_analyses.n_state_model.parameter_object import N_state_params; n_state_params = N_state_params()
from specific_analyses.noe.parameter_object import Noe_params; noe_params = Noe_params()
from specific_analyses.relax_disp.parameter_object import Relax_disp_params; relax_disp_params = Relax_disp_params()
from specific_analyses.relax_fit.parameter_object import Relax_fit_params; relax_fit_params = Relax_fit_params()
from user_functions.data import Uf_info; uf_info = Uf_info()
from user_functions.data import Uf_tables; uf_tables = Uf_tables()
from user_functions.objects import Desc_container
# The user function class.
uf_class = uf_info.add_class('value')
uf_class.title = "Class for setting parameter values."
uf_class.menu_text = "&value"
uf_class.gui_icon = "relax.value"
"""The dx user function definitions for controlling the OpenDX visualisation software."""
# Python module imports.
import dep_check
if dep_check.wx_module:
from wx import FD_OPEN
else:
FD_OPEN = -1
# relax module imports.
from graphics import WIZARD_IMAGE_PATH
from lib.software.opendx.execute import run
from pipe_control.opendx import map
from specific_analyses.frame_order.parameter_object import Frame_order_params; frame_order_params = Frame_order_params()
from specific_analyses.model_free.parameter_object import Model_free_params; model_free_params = Model_free_params()
from specific_analyses.n_state_model.parameter_object import N_state_params; n_state_params = N_state_params()
from specific_analyses.relax_disp.parameter_object import Relax_disp_params; relax_disp_params = Relax_disp_params()
from user_functions.data import Uf_info; uf_info = Uf_info()
from user_functions.data import Uf_tables; uf_tables = Uf_tables()
from user_functions.objects import Desc_container
# The user function class.
uf_class = uf_info.add_class("dx")
uf_class.title = "Class for interfacing with OpenDX."
uf_class.menu_text = "&dx"
uf_class.gui_icon = "relax.opendx"
# The dx.execute user function.
uf = uf_info.add_uf("dx.execute")
from pipe_control import pipes, value from specific_analyses.consistency_tests.parameter_object import Consistency_tests_params consistency_test_params = Consistency_tests_params() from specific_analyses.frame_order.parameter_object import Frame_order_params frame_order_params = Frame_order_params() from specific_analyses.jw_mapping.parameter_object import Jw_mapping_params jw_mapping_params = Jw_mapping_params() from specific_analyses.model_free.parameter_object import Model_free_params model_free_params = Model_free_params() from specific_analyses.n_state_model.parameter_object import N_state_params n_state_params = N_state_params() from specific_analyses.noe.parameter_object import Noe_params noe_params = Noe_params() from specific_analyses.relax_disp.parameter_object import Relax_disp_params relax_disp_params = Relax_disp_params() from specific_analyses.relax_fit.parameter_object import Relax_fit_params relax_fit_params = Relax_fit_params() from user_functions.data import Uf_info uf_info = Uf_info() from user_functions.data import Uf_tables uf_tables = Uf_tables()