mailr9920 - /1.3/specific_fns/noe.py


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Posted by edward on November 24, 2009 - 13:49:
Author: bugman
Date: Tue Nov 24 13:49:42 2009
New Revision: 9920

URL: http://svn.gna.org/viewcvs/relax?rev=9920&view=rev
Log:
Alphabetical ordering of methods, and separation of the private from the API 
methods.


Modified:
    1.3/specific_fns/noe.py

Modified: 1.3/specific_fns/noe.py
URL: 
http://svn.gna.org/viewcvs/relax/1.3/specific_fns/noe.py?rev=9920&r1=9919&r2=9920&view=diff
==============================================================================
--- 1.3/specific_fns/noe.py (original)
+++ 1.3/specific_fns/noe.py Tue Nov 24 13:49:42 2009
@@ -56,87 +56,6 @@
             spin.sat = intensity
         else:
             raise RelaxError("The spectrum type '%s' is unknown." % 
spectrum_type)
-
-
-    def calculate(self, spin_id=None, verbosity=1, sim_index=None):
-        """Calculate the NOE and its error.
-
-        The error for each peak is calculated using the formula::
-                          ___________________________________________
-                       \/ {sd(sat)*I(unsat)}^2 + {sd(unsat)*I(sat)}^2
-            sd(NOE) = -----------------------------------------------
-                                          I(unsat)^2
-
-        @keyword spin_id:   The spin identification string.
-        @type spin_id:      None or str
-        @keyword verbosity: The amount of information to print.  The higher 
the value, the greater the verbosity.
-        @type verbosity:    int
-        @keyword sim_index: The MC simulation index (unused).
-        @type sim_index:    None
-        """
-
-        # Test if the current pipe exists.
-        pipes.test()
-
-        # The spectrum types have not been set.
-        if not hasattr(cdp, 'spectrum_type'):
-            raise RelaxError("The spectrum types have not been set.")
-
-        # Test if the 2 spectra types 'ref' and 'sat' exist.
-        if not 'ref' in cdp.spectrum_type or not 'sat' in cdp.spectrum_type:
-            raise RelaxError("The reference and saturated NOE spectra have 
not been loaded.")
-
-        # Loop over the spins.
-        for spin in spin_loop():
-            # Skip deselected spins.
-            if not spin.select:
-                continue
-
-            # Average intensities (if required).
-            sat = 0.0
-            sat_err = 0.0
-            ref = 0.0
-            ref_err = 0.0
-            for i in xrange(len(cdp.spectrum_type)):
-                # Sat spectra.
-                if cdp.spectrum_type[i] == 'sat':
-                    sat = sat + spin.intensities[i]
-                    sat_err = sat_err + spin.intensity_err[i]
-
-                # Ref spectra.
-                if cdp.spectrum_type[i] == 'ref':
-                    ref = ref + spin.intensities[i]
-                    ref_err = ref_err + spin.intensity_err[i]
-
-            # Calculate the NOE.
-            spin.noe = sat / ref
-
-            # Calculate the error.
-            spin.noe_err = sqrt((sat_err * ref)**2 + (ref_err * sat)**2) / 
ref**2
-
-
-    def overfit_deselect(self):
-        """Deselect spins which have insufficient data to support 
calculation"""
-
-        # Test the sequence data exists.
-        if not exists_mol_res_spin_data():
-            raise RelaxNoSequenceError
-
-        # Loop over spin data.
-        for spin, spin_id in spin_loop(return_id=True):
-            # Skip deselected spins.
-            if not spin.select:
-                continue
-
-            # Check for sufficient data.
-            if not hasattr(spin, 'intensities') or not len(spin.intensities) 
== 2:
-                warn(RelaxDeselectWarning(spin_id, 'insufficient data'))
-                spin.select = False
-
-            # Check for sufficient errors.
-            elif not hasattr(spin, 'intensity_err') or not 
len(spin.intensity_err) == 2:
-                warn(RelaxDeselectWarning(spin_id, 'missing errors'))
-                spin.select = False
 
 
     def _read(self, file=None, dir=None, spectrum_type=None, format=None, 
heteronuc=None, proton=None, int_col=None):
@@ -175,6 +94,116 @@
         intensity.read(file=file, dir=dir, format=format, 
heteronuc=heteronuc, proton=proton, int_col=int_col, 
assign_func=self._assign_function, spectrum_type=spectrum_type)
 
 
+    def _spectrum_type(self, spectrum_type=None, spectrum_id=None):
+        """Set the spectrum type corresponding to the spectrum_id.
+
+        @keyword spectrum_type: The type of NOE spectrum, one of 'ref' or 
'sat'.
+        @type spectrum_type:    str
+        @keyword spectrum_id:   The spectrum id string.
+        @type spectrum_id:      str
+        """
+
+        # Test if the current pipe exists
+        pipes.test()
+
+        # Test the spectrum id string.
+        if spectrum_id not in cdp.spectrum_ids:
+            raise RelaxError("The peak intensities corresponding to the 
spectrum id '%s' does not exist." % spectrum_id)
+
+        # The spectrum id index.
+        spect_index = cdp.spectrum_ids.index(spectrum_id)
+
+        # Initialise or update the spectrum_type data structure as necessary.
+        if not hasattr(cdp, 'spectrum_type'):
+            cdp.spectrum_type = [None] * len(cdp.spectrum_ids)
+        elif len(cdp.spectrum_type) < len(cdp.spectrum_ids):
+            cdp.spectrum_type.append([None] * (len(cdp.spectrum_ids) - 
len(cdp.spectrum_type)))
+
+        # Set the error.
+        cdp.spectrum_type[spect_index] = spectrum_type
+
+
+    def calculate(self, spin_id=None, verbosity=1, sim_index=None):
+        """Calculate the NOE and its error.
+
+        The error for each peak is calculated using the formula::
+                          ___________________________________________
+                       \/ {sd(sat)*I(unsat)}^2 + {sd(unsat)*I(sat)}^2
+            sd(NOE) = -----------------------------------------------
+                                          I(unsat)^2
+
+        @keyword spin_id:   The spin identification string.
+        @type spin_id:      None or str
+        @keyword verbosity: The amount of information to print.  The higher 
the value, the greater the verbosity.
+        @type verbosity:    int
+        @keyword sim_index: The MC simulation index (unused).
+        @type sim_index:    None
+        """
+
+        # Test if the current pipe exists.
+        pipes.test()
+
+        # The spectrum types have not been set.
+        if not hasattr(cdp, 'spectrum_type'):
+            raise RelaxError("The spectrum types have not been set.")
+
+        # Test if the 2 spectra types 'ref' and 'sat' exist.
+        if not 'ref' in cdp.spectrum_type or not 'sat' in cdp.spectrum_type:
+            raise RelaxError("The reference and saturated NOE spectra have 
not been loaded.")
+
+        # Loop over the spins.
+        for spin in spin_loop():
+            # Skip deselected spins.
+            if not spin.select:
+                continue
+
+            # Average intensities (if required).
+            sat = 0.0
+            sat_err = 0.0
+            ref = 0.0
+            ref_err = 0.0
+            for i in xrange(len(cdp.spectrum_type)):
+                # Sat spectra.
+                if cdp.spectrum_type[i] == 'sat':
+                    sat = sat + spin.intensities[i]
+                    sat_err = sat_err + spin.intensity_err[i]
+
+                # Ref spectra.
+                if cdp.spectrum_type[i] == 'ref':
+                    ref = ref + spin.intensities[i]
+                    ref_err = ref_err + spin.intensity_err[i]
+
+            # Calculate the NOE.
+            spin.noe = sat / ref
+
+            # Calculate the error.
+            spin.noe_err = sqrt((sat_err * ref)**2 + (ref_err * sat)**2) / 
ref**2
+
+
+    def overfit_deselect(self):
+        """Deselect spins which have insufficient data to support 
calculation"""
+
+        # Test the sequence data exists.
+        if not exists_mol_res_spin_data():
+            raise RelaxNoSequenceError
+
+        # Loop over spin data.
+        for spin, spin_id in spin_loop(return_id=True):
+            # Skip deselected spins.
+            if not spin.select:
+                continue
+
+            # Check for sufficient data.
+            if not hasattr(spin, 'intensities') or not len(spin.intensities) 
== 2:
+                warn(RelaxDeselectWarning(spin_id, 'insufficient data'))
+                spin.select = False
+
+            # Check for sufficient errors.
+            elif not hasattr(spin, 'intensity_err') or not 
len(spin.intensity_err) == 2:
+                warn(RelaxDeselectWarning(spin_id, 'missing errors'))
+                spin.select = False
+
+
     return_data_name_doc = """
         NOE calculation data type string matching patterns
         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -259,32 +288,3 @@
         """
 
         return None
-
-
-    def _spectrum_type(self, spectrum_type=None, spectrum_id=None):
-        """Set the spectrum type corresponding to the spectrum_id.
-
-        @keyword spectrum_type: The type of NOE spectrum, one of 'ref' or 
'sat'.
-        @type spectrum_type:    str
-        @keyword spectrum_id:   The spectrum id string.
-        @type spectrum_id:      str
-        """
-
-        # Test if the current pipe exists
-        pipes.test()
-
-        # Test the spectrum id string.
-        if spectrum_id not in cdp.spectrum_ids:
-            raise RelaxError("The peak intensities corresponding to the 
spectrum id '%s' does not exist." % spectrum_id)
-
-        # The spectrum id index.
-        spect_index = cdp.spectrum_ids.index(spectrum_id)
-
-        # Initialise or update the spectrum_type data structure as necessary.
-        if not hasattr(cdp, 'spectrum_type'):
-            cdp.spectrum_type = [None] * len(cdp.spectrum_ids)
-        elif len(cdp.spectrum_type) < len(cdp.spectrum_ids):
-            cdp.spectrum_type.append([None] * (len(cdp.spectrum_ids) - 
len(cdp.spectrum_type)))
-
-        # Set the error.
-        cdp.spectrum_type[spect_index] = spectrum_type




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