def selections_by_index(iterable): selections = CIDict() test_sequences = CIDict() for line in iterable: selections.update({line[0]: [int(x) for x in line[2:]]}) test_sequences.update({line[0]: line[1]}) return selections, test_sequences
def load_centers(iterable): dict_ = CIDict() for row in iterable: if row[0] != '': dict_.update({row[0]:row[1]}) for key, value in dict_.items(): # Turns '(1,2,3)' etc, that is, textual representations of vectors, # into Vector objects. Will cut off the last digit of the third # componant, but I don't care because the third componant will # always be 0.0 dict_[key] = np.array([float(y[:-1]) for y in value[1:].split()]) return dict_
def moments(path, selections, centers): with open('published params.csv', 'rb') as f: reader = csv.reader(f) new_calc = ezb.Calculator(reader, normalize = False) moments = CIDict() for name in structures.keys(): if name.upper() == '1QD5': continue moments.update({name: ezb.moment(structures[name], selections[name], centers[name], new_calc, paramless_option = '0', old_style_gly = True) }) with open(path, 'wb') as f: target = csv.writer(f) for name, moment in moments.items(): row = [name.upper()] + [str(component) for component in moment] target.writerow(row)
def selections_by_resi(iterable): selections = CIDict() for line in iterable: selections.update({line[0]: [int(x) for x in line[1:]]}) return selections
structures = [(name, parser.get_structure(name, path)) \ for name, path in structure_files.items()] structures = CIDict(structures) with open('cored 1 selections with 1qd5.csv', 'rb') as f: reader = csv.reader(f) inclusive_selections = ezb.selections_by_resi(reader) with open('beta_selections.csv', 'rb') as f: reader = csv.reader(f) beta_selections = ezb.selections_by_resi(reader) exclusive_selections = CIDict() for name, selection in beta_selections.items(): exclusive_selections.update(((name, list(set(selection).intersection( set(inclusive_selections[name])))),)) with open('cored 1 centers with 1qd5.csv', 'rb') as f: reader = csv.reader(f) inc_centers = ezb.load_centers(reader) with open('exc centers.csv', 'rb') as f: exc_centers = ezb.load_centers(csv.reader(f)) def moments(path, selections, centers): with open('published params.csv', 'rb') as f: reader = csv.reader(f) new_calc = ezb.Calculator(reader, normalize = False) moments = CIDict()
warnings.simplefilter('ignore') structures = [(name, parser.get_structure(name, path)) \ for name, path in structure_files.items()] structures = CIDict(structures) # Load the selections that should have been used with open('exc centers/exc selections.csv', 'rb') as f: reader = csv.reader(f) beta_selections = ezb.selections_by_resi(reader) right_selections = CIDict() for name, selection in beta_selections.items(): right_selections.update(((name, selection),)) with open('exc centers.csv', 'rb') as f: exc_centers = ezb.load_centers(csv.reader(f)) def moments(path, selections, centers): with open('published params.csv', 'rb') as f: reader = csv.reader(f) new_calc = ezb.Calculator(reader, normalize = True) moments = CIDict() for name in structures.keys(): if name.upper() == '1QD5': continue moments.update({name: