def features_string_file_modular (directory, fname):
from modshogun import StringCharFeatures, RAWBYTE
from modshogun import CSVFile
# load features from directory
f=StringCharFeatures(RAWBYTE)
f.load_from_directory(directory)
#and output several stats
#print("max string length", f.get_max_vector_length())
#print("number of strings", f.get_num_vectors())
#print("length of first string", f.get_vector_length(0))
#print("str[0,0:3]", f.get_feature(0,0), f.get_feature(0,1), f.get_feature(0,2))
#print("len(str[0])", f.get_vector_length(0))
#print("str[0]", f.get_feature_vector(0))
#or load features from file (one string per line)
fil=CSVFile(fname)
f.load(fil)
#print(f.get_features())
#or load fasta file
#f.load_fasta('fasta.fa')
#print(f.get_features())
return f.get_features(), f
def features_string_char_modular (strings):
from modshogun import StringCharFeatures, RAWBYTE
from numpy import array
#create string features
f=StringCharFeatures(strings, RAWBYTE)
#and output several stats
#print("max string length", f.get_max_vector_length())
#print("number of strings", f.get_num_vectors())
#print("length of first string", f.get_vector_length(0))
#print("string[5]", ''.join(f.get_feature_vector(5)))
#print("strings", f.get_features())
#replace string 0
f.set_feature_vector(array(['t','e','s','t']), 0)
#print("strings", f.get_features())
return f.get_features(), f
