def lemmatize(method, data):
"""
Takes an array of words or array of tupples containing words and pos tags.
Both Penn and Wordnet tags are supported
"""
data = parse_input(data)
if data == False:
return ret_failure(703)
else:
res = []
if method == "wordnet":
for word in data:
try:
if type(word) is list:
res.append([
word[0],
WordnetLm.lemmatize(word[0], penn_to_wn(word[1]))
])
else:
res.append([word, WordnetLm.lemmatize(word)])
except LookupError:
return ret_failure(704)
except:
return ret_failure(702)
else:
abort(404)
return ret_success(res)
def stemmer(method,data): """ Takes an array of words in JSON format. """ data = parse_input(data) if data == False: return ret_failure(703) else: res=[] if method == "lancaster": for word in data: try: res.append([word,LancasterSt.stem(word)]) except: return ret_failure(702) elif method == "porter": for word in data: try: res.append([word,PorterSt.stem(word)]) except: return ret_failure(702) elif method == 'snowball': for word in data: try: res.append([word,SnowballSt.stem(word)]) except: return ret_failure(702) else: abort(404) return ret_success(res)
def stemmer(method, data):
"""
Takes an array of words in JSON format.
"""
data = parse_input(data)
if data == False:
return ret_failure(703)
else:
res = []
if method == "lancaster":
for word in data:
try:
res.append([word, LancasterSt.stem(word)])
except:
return ret_failure(702)
elif method == "porter":
for word in data:
try:
res.append([word, PorterSt.stem(word)])
except:
return ret_failure(702)
elif method == 'snowball':
for word in data:
try:
res.append([word, SnowballSt.stem(word)])
except:
return ret_failure(702)
else:
abort(404)
return ret_success(res)
def puzzle1():
contents = helpers.parse_input('day1.txt')
run_total = 0
for line in contents:
run_total += helpers.stoval(line)
return str(run_total)
def pos_tag(data): data = parse_input(data) if data == False: return ret_failure(703) else: try: res = nltk.pos_tag(data) return ret_success(res) except LookupError: return ret_failure(704) except: return ret_failure(702)
def puzzle2():
contents = helpers.parse_input('day1.txt')
prior = set()
run_total = 0
index = 0
while (True):
run_total += helpers.stoval(contents[index])
if run_total in prior:
return str(run_total)
else:
prior.add(run_total)
index += 1
if index >= len(contents):
index = 0
def lemmatize(method,data): """ Takes an array of words or array of tupples containing words and pos tags. Both Penn and Wordnet tags are supported """ data = parse_input(data) if data == False: return ret_failure(703) else: res=[] if method == "wordnet": for word in data: try: if type(word) is list: res.append([word[0],WordnetLm.lemmatize(word[0],penn_to_wn(word[1]))]) else: res.append([word,WordnetLm.lemmatize(word)]) except LookupError: return ret_failure(704) except: return ret_failure(702) else: abort(404) return ret_success(res)
def compute(path):
n_books, n_libraries, days, book_scores, libraries = parse_input(path)
best_seq = get_best_sequence(libraries, days, book_scores)
print(len(best_seq))
print(best_seq)
write_out(best_seq, path)
