def test_add(self):
t = Trie()
t.add('hello')
self.assertEquals(t.trie,
{'h': {
'e': {
'l': {
'l': {
'o': {
'$': None
}
}
}
}
}})
t.add('hell')
self.assertEquals(
t.trie, {'h': {
'e': {
'l': {
'l': {
'o': {
'$': None
},
'$': None
}
}
}
}})
class Bigram():
def __init__(self):
self.minfreq = -3.14e+100
self.load()
self.construct_Trie()
def load(self):
root = 'model_params'
with open(root + '/bidic.json', 'r') as f:
self.bidic = json.load(f)
with open(root + '/pinyin.json', 'r') as f:
self.pinyindic = json.load(f)
def construct_Trie(self):
self.trie = Trie()
for key in self.pinyindic.keys():
self.trie.add(key)
def construct_DAG(self, seq):
# {key: list}
self.DAG = {}
for i in range(1, len(seq) - 1):
self.DAG[i] = self.trie.scan(seq[i:-1], i)
# BOS EOS
self.DAG[len(seq) - 1] = [len(seq) - 1]
self.DAG[0] = [0]
def dp_search(self, seq):
seq = '^' + seq + '$'
self.construct_DAG(seq)
# prob max
viterbi = {}
for i in range(len(seq)):
viterbi[i] = {}
# { i :{ end1: (prob, next), end2 : (prob, next) }}
viterbi[len(seq) - 1][len(seq) - 1] = (0., len(seq))
# 反向DP
for i in range(len(seq) - 2, -1, -1):
# 对每个wi起始的词求最大概率
for x in self.DAG[i]:
# P(wx+1...wy | wi..wx)*viterbi[x+1][index][0]
prob_index = max(
(self.bidic.get(seq[x + 1:y + 1], {}).get(seq[i:x + 1], self.minfreq) +
viterbi.get(x + 1)[y][0], y) for y in self.DAG[x + 1])
viterbi[i][x] = prob_index
# BOS
end = max((self.bidic.get(seq[1:y + 1], {}).get(seq[0], self.minfreq) +
viterbi.get(1)[y][0], y) for y in self.DAG[1])[1]
# 回溯*
start = 1
segs = []
while start < len(seq) - 1:
segs.append(seq[start:end + 1])
temp = start
start = end + 1
# print(viterbi[temp][end][0])
end = viterbi[temp][end][1]
return segs
def trie_dictionary(dictionary):
trie = Trie()
for key in dictionary.keys():
#print key
trie.add(key, dictionary[key])
return trie
def testExample(self):
trie = Trie()
trie.add("hack")
trie.add("hackerrank")
self.assertEqual(trie.find("hac"), 2)
self.assertEqual(trie.find("hak"), 0)
def trie_dictionary(dictionary):
trie = Trie()
for key in dictionary.keys():
#print key
trie.add(key, dictionary[key])
return trie
def build_trie(words):
""" Return a trie built from a set of 235,886 words """
print('building trie...')
root = Trie()
for i, word in enumerate(words):
root.add(word, i)
print('done\n')
return root
def func():
# 等待tags和alias加载完毕
while not tags or not all_alias:
time.sleep(0.1)
cmd_trie, tag_trie = Trie(), Trie()
cmd_trie.add(cfg.cmds)
cmd_trie.add(all_alias['cmd'].keys())
tag_trie.add(tags.keys())
global tries
tries = {'cmd': cmd_trie, 'tag': tag_trie}
def gen_suffix_trie(fname):
from trie import Trie, DATrie
trie = Trie()
pytrie = DATrie()
for s in valid_syllables:
trie.add(s[::-1], valid_syllables[s])
pytrie.construct_from_trie(trie)
pytrie.output_static_c_arrays(fname)
def benchmark_regex_trie(LINE):
from trie import Trie
import re
trie = Trie()
for key in KEYS:
trie.add(key)
regex = re.compile(trie.pattern())
print(regex.findall(LINE))
benchmark("regex.findall(LINE)", locals())
def gen_suffix_trie (fname):
from trie import Trie, DATrie
trie = Trie ()
pytrie = DATrie ()
for s in valid_syllables:
trie.add (s[::-1], valid_syllables[s])
pytrie.construct_from_trie (trie)
pytrie.output_static_c_arrays (fname)
class ControlIt:
def __init__(self):
self.the_trie = Trie()
def file_grab(self):
log = open("content/words1.txt", 'r')
loglist = log.readlines()
log.close()
cl = []
sendc = []
pattern = '^\w+-\s'
for index, line in enumerate(loglist, 0):
if re.search(pattern, line) is not None:
test = re.search(pattern, line)
firstFound = test.string.split(' ', 1)[0]
secondFound = loglist[index + 1]
if not secondFound.split(' ', 1)[0] == "ship":
sendc.append(secondFound.split(' ', 1)[0].lower())
cl.append(
firstFound.__add__(secondFound.split(' ', 1)[0]).lower())
try:
with open("content/words1.txt", encoding='UTF-8') as f:
lines = f.read().translate(
{ord(i): None
for i in ';:*.,[]|"�<>()!°&¶/'}).lower().split()
f.close()
except:
with open("content/words1.txt", encoding='latin_1') as f:
lines = f.read().translate(
{ord(i): None
for i in ';:*.,[]|"�<>()!°&¶/'}).lower().split()
f.close()
for index, i in enumerate(lines):
if i.count('-') >= 3 or i == re.search('\w+-\n', i):
lines[index] = None
[lines.append(i) for i in cl]
for i in sendc:
lines = list((x for x in lines if re.sub(i, "", str(x))))
return lines
def grab_file(self):
start_list = self.file_grab()
for i in start_list:
self.the_trie.add(self.the_trie.trie, str(i))
mytrie = self.the_trie.get_trie()
self.the_trie.trie_pickle(mytrie)
# self.ct = self.the_trie
print(mytrie)
def main(self):
self.grab_file()
self.the_trie.create_binary_tree()
self.the_trie.create_avl_tree()
def index_emails(path_to_directory):
trie = Trie()
with multiprocessing.Pool() as p:
paths = glob.glob(os.path.join(path_to_directory, '**/*.'),
recursive=True)
for pairs in tqdm(p.imap(index_path, paths), total=len(paths)):
for (word, path) in pairs:
trie.add(word, path)
return trie
def mkEncTrie(dct):
"""
Makes an "encoding" trie from a description dict.
Only call from mkTries to ensure that the reverse trie gets built as well
"""
rv=Trie()
for key, value in dct.iteritems():
try:
if value[1] is not NoReverse:
raise Exception
except: rv.add(key, value)
else: rv.add(key, value[0])
return rv
def mkEncTrie(dct):
"""
Makes an "encoding" trie from a description dict.
Only call from mkTries to ensure that the reverse trie gets built as well
"""
rv = Trie()
for key, value in dct.iteritems():
try:
if value[1] is not NoReverse:
raise Exception
except:
rv.add(key, value)
else:
rv.add(key, value[0])
return rv
class ControlIt:
def __init__(self):
self.the_trie = Trie()
def file_grab(self):
log = open("content/words1.txt", 'r')
loglist = log.readlines()
log.close()
cl = []
sendc = []
pattern = '^\w+-\s'
for index, line in enumerate(loglist, 0):
if re.search(pattern, line) is not None:
test = re.search(pattern, line)
firstFound = test.string.split(' ', 1)[0]
secondFound = loglist[index + 1]
if not secondFound.split(' ', 1)[0] == "ship":
sendc.append(secondFound.split(' ', 1)[0].lower())
cl.append(firstFound.__add__(secondFound.split(' ', 1)[0]).lower())
try:
with open("content/words1.txt", encoding='UTF-8') as f:
lines = f.read().translate({ord(i): None for i in ';:*.,[]|"�<>()!°&¶/'}).lower().split()
f.close()
except:
with open("content/words1.txt", encoding='latin_1') as f:
lines = f.read().translate({ord(i): None for i in ';:*.,[]|"�<>()!°&¶/'}).lower().split()
f.close()
for index, i in enumerate(lines):
if i.count('-') >= 3 or i == re.search('\w+-\n', i):
lines[index] = None
[lines.append(i) for i in cl]
for i in sendc:
lines = list((x for x in lines if re.sub(i, "", str(x))))
return lines
def grab_file(self):
start_list = self.file_grab()
for i in start_list:
self.the_trie.add(self.the_trie.trie, str(i))
mytrie = self.the_trie.get_trie()
self.the_trie.trie_pickle(mytrie)
# self.ct = self.the_trie
print(mytrie)
def main(self):
self.grab_file()
self.the_trie.create_binary_tree()
self.the_trie.create_avl_tree()
class TestTrie(unittest.TestCase):
""" Python test ment to run on saved copy of slack JSON data
"""
def setUp(self):
self.trie = Trie()
#Default Slack JSON file name
with open('users.json') as users:
loaded = json.load(users)
for member in loaded['members']:
if 'real_name' not in member:
continue
self.trie.add_name(0, member['real_name'].lower(), member)
def test_addition(self):
""" Making Sure trie entries are added correctly
"""
added = self.trie.add('Jane Doe'.lower(), {'value': 0})
self.assertTrue(added)
self.assertIsNotNone(self.trie.search('Jane Doe'.lower()))
def test_search(self):
""" Verifying Trie entries
"""
self.assertIsNone(self.trie.search('John Doe'.lower()))
self.assertIsNotNone(self.trie.search('Aaron Long'.lower()))
def __create_documents(self, directory):
'''
recebe um diretorio ao qual sao realizadas as instanciacoes dos Documents() e adiciona suas palavras a trie.
'''
archives = os.listdir(directory)
documents = Lista()
temp = Trie()
for archive_name in archives:
doc = Documents(directory + archive_name)
documents.anexar(doc)
for ngram in doc.ngrams:
aux_words = ngram.sequence
string = ''
for k in aux_words:
string += k + ' '
temp.add(string, doc)
return documents, temp
class TrieTest(unittest.TestCase):
def setUp(self):
self.trie = Trie()
self.trie.add('CAT')
self.trie.add('CAR')
self.trie.add('CART')
self.trie.add('DO')
self.trie.add('DOG')
self.trie.add('X')
def test_root_children(self):
root = self.trie.root
self.assertEqual(3, len(root.children))
self.assertTrue(root.children['C'])
self.assertTrue(root.children['D'])
self.assertTrue(root.children['X'])
def test_single_letter(self):
x_node = self.trie.root.children['X']
self.assertEqual(0, len(x_node.children))
self.assertTrue(x_node.is_word)
def test_prefix_is_also_word(self):
d_node = self.trie.root.children['D']
self.assertFalse(d_node.is_word)
do_node = d_node.children['O']
self.assertTrue(do_node.is_word)
dog_node = do_node.children['G']
self.assertTrue(dog_node.is_word)
def test_multiple_branches_are_words(self):
ca_node = self.trie.root.children['C'].children['A']
self.assertFalse(ca_node.is_word)
cat_node = ca_node.children['T']
self.assertTrue(cat_node.is_word)
car_node = ca_node.children['R']
self.assertTrue(car_node.is_word)
cart_node = car_node.children['T']
self.assertTrue(cart_node.is_word)
class Router:
def __init__(self):
self.trie = Trie()
def add_route(self, route, route_action):
segments = ['/' + seg for seg in route.split('/')]
self.trie.add(segments, route_action)
def show_routes(self):
root = self.trie.root
th = []
for thing in self.trie.get_paths()(root.children.values()[0]):
th.append(thing)
return th
def load_route(self, route):
segments = ['/' + seg for seg in route.split('/')]
action, bindings = self.trie.find(segments, {})
return functools.partial(action, **bindings)
class Autocomplete(object):
""" This class will iplement the CharNode class to attempt to complete and autocomplete will most likely redo this in python"""
def __init__(self):
self.root = Trie()
self.dictionary= [word.replace('\n', '') for word in open("/usr/share/dict/words", "r").readlines()]
# self.dictionary =['app','apple', 'application', 'apply','apricot']
for word in self.dictionary:
self.root.add(word)
def autocompleteTest(self, word):
curr = self.root.root
for letter in word:
curr = curr.children.get(letter)
if curr is None:
return # No words with given prefix word
yield from curr.all_words_from_current_node(word)
def mkDecTrie(dct):
"""
Makes a "decoding", or "reverse" trie from a description dict
Only call from mkTries to ensure that the encoding trie gets built as well
"""
rv=Trie()
for key, value in dct.iteritems():
try:
if value[1] is not NoReverse:
raise Exception
except:
try:
if not callable(value[1].find_prefix):
raise Exception
except: rv.add(value, key)
else:
new_key=value[0]
new_val=(key,revTrie(value[1]))+value[2:]
rv.add(new_key, new_val)
return rv
def testAddSubstring(self):
trie = Trie()
trie.add("aberer")
trie.add("ab")
trie.add("a")
self.assertEqual(trie.find("a"), 3)
self.assertEqual(trie.find("ab"), 2)
self.assertEqual(trie.find("aberer"), 1)
trie.add("abe")
self.assertEqual(trie.find("abe"), 2)
def mkDecTrie(dct):
"""
Makes a "decoding", or "reverse" trie from a description dict
Only call from mkTries to ensure that the encoding trie gets built as well
"""
rv = Trie()
for key, value in dct.iteritems():
try:
if value[1] is not NoReverse:
raise Exception
except:
try:
if not callable(value[1].find_prefix):
raise Exception
except:
rv.add(value, key)
else:
new_key = value[0]
new_val = (key, revTrie(value[1])) + value[2:]
rv.add(new_key, new_val)
return rv
def read_volunteers():
""" Read all the volunters in and orchestrate their transformation
"""
group = None # Will hold Volunteer Objects
user_trie = Trie() # Will contain complete slack user list in JSON
with open("volunteers.csv") as volunteers:
reader = csv.reader(volunteers)
group = [Volunteer(line) for line in reader]
group.pop(0)
with open("config.yaml") as config:
reader = yaml.load(config)
user_list = get_users_slack(reader["slack"])
for user in user_list:
if 'real_name' not in user:
continue
user_trie.add(user['real_name'].lower(), user)
md_file = open('./volunteers.md', 'w')
for gr in group:
gr.parse_slack(user_trie)
md_file.write(str(gr))
md_file.close()
class TestTire(TestCase):
def setUp(self):
self.trie = Trie()
self.trie.add("David")
self.trie.add("David")
self.trie.add("Dave")
self.trie.add("Davidson")
def test_recall(self):
self.assertEqual(self.trie.count("David"), 2)
self.assertEqual(self.trie.overlay_count("David"), 3)
with self.assertRaises(KeyError):
self.trie.count("Ben")
def test_exists(self):
self.assertFalse(self.trie.exist("Davison"))
self.assertTrue(self.trie.exist("David"))
self.assertFalse(self.trie.exist("Dav"))
def test_initializer(self):
trie = Trie(["David", "David", "Dave", "Davidson"])
self.assertEqual(trie.count("David"), 2)
self.assertEqual(trie.overlay_count("David"), 3)
def test_random(self):
name, count = self.trie.random()
self.assertEqual(type(name), str)
self.assertEqual(type(count), int)
def test_allwords(self):
t = Trie()
t.add('hello')
t.add('help')
t.add('hell')
t.add('hall')
self.assertSameSet(['hello', 'help', 'hell', 'hall'], t.allwords())
def test_lookup_prefix(self):
t = Trie()
t.add('hello')
t.add('help')
t.add('hell')
t.add('hall')
t.add('harp')
self.assertSameSet(t.lookup('hel'), ['hello', 'help', 'hell'])
class Trial(IApplication):
def __init__(self, frame):
self.frame = frame
self.trie = Trie()
def initialize(self):
pass
def update(self):
flag = False
bls = self.frame.get(BadLink)
print len(bls)
for l in bls:
self.trie.add(l.url, None)
for t in sorted(Trie.flat_list, key=lambda x: x.count, reverse=True):
print t.previous, t.count
flag = True
if flag:
self.done = True
def shutdown(self):
print "Done"
def test_features(self):
tr = Trie('the')
tr.add('bar')
tr.add('batt')
tr.add('at')
self.assertEqual(tr.count(), 4)
self.assertEqual(tr.has('att'), False)
self.assertEqual(tr.has('bar'), True)
self.assertEqual(tr.has('value'), False)
def create_data_model(json_data):
'''create serializable data from json data or if available load it'''
if not os.path.exists(pickle_filename):
# print "Pickle file does not exists"
sample_conversations_data = json.load(open(json_data))
output_data = open(pickle_filename, "w")
pickle.dump(sample_conversations_data, output_data)
output_data.close()
# print "file created and closed"
# load the pickle file to get the json data
input_data = open(pickle_filename, "r")
# print "pickle file opened successfully"
sample_conversations_data = pickle.load(input_data)
# print "data loaded from pickle file"
input_data.close()
text_data = [] # get all the sentences in your text data
table = string.maketrans("", "") # ???not needed???
for index, issue in enumerate(sample_conversations_data['Issues'][:]):
for message in issue['Messages']:
clean_text = string_preprocess(message['Text'])
text_data.append(clean_text)
trie = Trie() # create trie object to store your data
# get the data in your trie object
for sentence in text_data:
trie.add(sentence)
# create data model if it does not exist
if not os.path.exists(pickle_data_model):
data_model = open(pickle_data_model, "w")
pickle.dump(trie, data_model)
print "data model created"
data_model.close()
def tab_cmd(target, t):
'''命令行补全'''
res, perfix = None, target
if t == 'cmd':
res = tries['cmd'].getStartBy(target)
elif t == 'tag':
res = tries['tag'].getStartBy(target)
else:
# 获取路径
basename = os.path.basename(target)
perfix = addEscape(basename)
target = parse_path(target)
dirname = os.path.dirname(target)
if os.path.isdir(dirname):
paths = os.listdir(dirname)
if t == 'dir':
paths = list(
filter(
lambda path: os.path.isdir(os.path.join(dirname, path)
), paths))
elif t == 'file':
paths = list(
filter(
lambda path: os.path.isfile(os.path.join(
dirname, path)), paths))
paths = filter(
lambda path: re.match(f'^{addEscape(basename)}', path, re.I),
paths) # 匹配前缀，忽略大小写
# print(list(paths))
# print(addEscape(basename))
path_trie = Trie()
path_trie.add(paths)
res = path_trie.getStartBy(basename)
else:
res = []
return {'code': 0, 'res': res, 'perfix': perfix}
def testAddDeNovo(self):
trie = Trie()
trie.add("abl")
trie.add("ac")
trie.add("bca")
trie.add("baa")
self.assertEqual(trie.find("b"), 2)
self.assertEqual(trie.find("a"), 2)
self.assertEqual(trie.find("abl"), 1)
self.assertEqual(trie.find("ac"), 1)
self.assertEqual(trie.find("bca"), 1)
self.assertEqual(trie.find("baa"), 1)
from trie import Trie
from data import *
from welcome import *
from hashmap import HashMap
from linkedlist import LinkedList
# Printing the Welcome Message
print_welcome()
# Entering cuisine data
food_types = Trie()
eateries = HashMap(len(types))
for food in types:
food_types.add(food)
eateries.assign(food, LinkedList())
# restaurant data-point key names:
eatery_cuisine = "cuisine"
eatery_name = "name"
eatery_price = "price"
eatery_rating = "rating"
eatery_address = "address"
# Entering restaurant data
for restaurant in restaurant_data:
current_eateries_for_cuisine = eateries.retrieve(restaurant[0])
current_eatery_data = HashMap(len(restaurant))
current_eatery_data.assign(eatery_cuisine, restaurant[0])
current_eatery_data.assign(eatery_name, restaurant[1])
current_eatery_data.assign(eatery_price, restaurant[2])
current_eatery_data.assign(eatery_rating, restaurant[3])
current_eatery_data.assign(eatery_address, restaurant[4])
class TestWords(unittest.TestCase):
"""Tests for function words"""
def setUp(self):
unittest.TestCase.setUp(self)
self.mytrie = Trie()
self.mytrie.add('ant',1)
self.mytrie.add('ante',2)
self.mytrie.add('antic',3)
self.mytrie.add('antsy',4)
self.mytrie.add('antse',5)
self.mytrie.add('ban',6)
self.mytrie.add('banana',7)
def test_default_case(self):
"""Test words retrieves all words properly from Trie."""
expected = ['ante','antic','ant','antsy','antse','banana','ban']
actual = []
for words in self.mytrie.words():
actual.append(words)
#print 'actual',actual
#print 'expected',expected
self.assertTrue(sorted(actual)==sorted(expected))
def make_trie(items):
trie = Trie()
for key, item in items:
if _debug: print ": ".join([x.encode('UTF-8') for x in key, item])
trie.add(*(unicodedata.normalize('NFC', x) for x in (key, item)))
return trie
# Given a book of words. Assume you have enough main memory to accommodate all words. design a data structure to find top K maximum occurring words.
# The data structure should be dynamic so that new words can be added.
from trie import Trie
def find_k_most_frequent(word: str):
most_frequents = []
return most_frequents
if __name__ == '__main__':
teststr = "the a there anaswe any by their"
# find_k_most_frequent(teststr)
t = Trie()
for s in teststr.split(' '):
print("Adding({})".format(s))
t.add(s)
# Search for different keys
print("{} ---- {}".format("the", t.search("the")))
print("{} ---- {}".format("these", t.search("these")))
print("{} ---- {}".format("their", t.search("their")))
print("{} ---- {}".format("thaw", t.search("thaw")))
def create_dictionary():
with open(DICTIONARY_FILE) as f:
global dictionary
dictionary = Trie()
for word in f:
dictionary.add(word.strip())