def main(args):
a_dict = word_dict.word_dict()
### test class pt_node
anode = pt_node(a_dict, "python")
bnode = pt_node(a_dict, "zzxyz")
anode.print_pt_node(a_dict)
print
### test class ptree
my_dict = word_dict.word_dict()
a_ptree = ptree(my_dict)
a_ptree.add_word_to_tree('equality', 'yes')
a_ptree.add_word_to_tree('fraternity', 'yes')
a_ptree.add_word_to_tree('liberty', 'no')
a_ptree.print_tree()
print 40*'*'
sentence = "chuck could a wood chuck chuck if a wood chuck could chuck wood"
sentence = sentence.split(' ')
reversed_sentence = sentence
reversed_sentence.reverse
my_ptree = learn_ccc(sentence, reversed_sentence, 5)
print 40*'_'
some_text = open(args[0], 'r').read()
some_text = some_text[:-1].split(' ')
my_ptree = ptree(my_dict)
build_tree('yes', some_text, my_ptree)
my_ptree.print_tree()
print 40*'-'
def main(args):
a_dict = word_dict.word_dict()
### test class pt_node
anode = pt_node(a_dict, "python")
bnode = pt_node(a_dict, "zzxyz")
anode.print_pt_node(a_dict)
print
### test class ptree
my_dict = word_dict.word_dict()
a_ptree = ptree(my_dict)
a_ptree.add_word_to_tree('equality', 'yes')
a_ptree.add_word_to_tree('fraternity', 'yes')
a_ptree.add_word_to_tree('liberty', 'no')
a_ptree.print_tree()
print 40 * '*'
sentence = "chuck could a wood chuck chuck if a wood chuck could chuck wood"
sentence = sentence.split(' ')
reversed_sentence = sentence
reversed_sentence.reverse
my_ptree = learn_ccc(sentence, reversed_sentence, 5)
print 40 * '_'
some_text = open(args[0], 'r').read()
some_text = some_text[:-1].split(' ')
my_ptree = ptree(my_dict)
build_tree('yes', some_text, my_ptree)
my_ptree.print_tree()
print 40 * '-'
def main(args):
# args = ["medical insuranceY5jPHX.txt", 'health policyTlYqX1.txt']
my_dict = word_dict.word_dict()
pages = []
page_lbls = []
for page in args:
a_scrape = a_web_scrape()
a_scrape.one_tok_file(page)
pages.append(a_scrape)
page_lbls.append(a_scrape.claim_lbl)
my_ptree = pruned_ptree(my_dict, depth=(N_depth-1), lbls=ptree.labels(page_lbls))
for p in pages:
p.add_to_ptree(my_ptree)
my_ptree.peruse_tree()
print 40*'*'
def learn_ccc(yes_sample, no_sample, n_gram_length):
"Return a prefix tree learned from two text samples"
the_dict = word_dict.word_dict()
the_tree = ptree(the_dict, n_gram_length)
return build_tree('no', no_sample, build_tree('yes', yes_sample, the_tree))
def learn_ccc(yes_sample, no_sample, n_gram_length):
"Return a prefix tree learned from two text samples"
the_dict = word_dict.word_dict()
the_tree = ptree(the_dict, n_gram_length)
return build_tree('no', no_sample, build_tree('yes', yes_sample, the_tree))