def summarize(text, topic):
# Parse the document with spaCy
#doc = textacy.make_spacy_doc(text)
doc = nlp(str(text))
# Extract semi-structured statements
entities = textacy.extract.entities(doc)
summary = []
ent = []
accuracy = 100
for entity in entities:
ent.append(entity)
split_it = str(ent).split()
Counter = co(split_it)
most_occur = Counter.most_common(1)[0][0].replace(',', '')
if not most_occur:
statements = textacy.extract.semistructured_statements(doc, topic)
else:
statements = textacy.extract.semistructured_statements(doc, most_occur)
print(most_occur)
for statement in statements:
#print(str(statement) + "\n")
summary.append(statement)
return str(summary), accuracy
def check_intersect(self):
current = self.head
flag = False
index_value = 0
while current:
while index_value < len(arr) and current.data > arr[index_value]:
index_value += 1
if index_value < len(arr) and current.data == arr[index_value]:
flag = True
result.append(current.data)
current = current.next
if flag == False:
print("NO INTERSECTION")
exit()
print(*co(result))
def awakencomp(ID1, ID2):
info1 = info(ID1)
info2 = info(ID2)
m1_awks=info(ID1)[4]
m2_awks=info(ID2)[4]
common_awks = awaken_translator(list((co(m1_awks) & co(m2_awks)).elements()))
m1_unique_awks = list((co(awaken_translator(m1_awks)) - co(common_awks)).elements())
m2_unique_awks = list((co(awaken_translator(m2_awks)) - co(common_awks)).elements())
yield 'Common awakens: '+str(common_awks)
yield str(info(ID1)[0])+' unique awakens: '+str(m1_unique_awks)
yield str(info(ID2)[0])+' unique awakens: '+str(m2_unique_awks)
def awakencomp(ID1, ID2):
info1 = info(ID1)
info2 = info(ID2)
m1_awks = info(ID1)[4]
m2_awks = info(ID2)[4]
common_awks = awaken_translator(
list((co(m1_awks) & co(m2_awks)).elements()))
m1_unique_awks = list(
(co(awaken_translator(m1_awks)) - co(common_awks)).elements())
m2_unique_awks = list(
(co(awaken_translator(m2_awks)) - co(common_awks)).elements())
yield 'Common awakens: ' + str(common_awks)
yield str(info(ID1)[0]) + ' unique awakens: ' + str(m1_unique_awks)
yield str(info(ID2)[0]) + ' unique awakens: ' + str(m2_unique_awks)
##for i in range(int(input())):
## n,m,k = [int(j) for j in input().split()]
## for j in range(n):
## p = [int(k) for k in input().split()]
## pp = co(p)
## if(len(pp.most_common(10000))>1 and pp.most_common(2)[0][1]==pp.most_common(2)[1][1]):
## print(pp.most_common(10000)[1][0], end=' ')
## else:
## print(pp.most_common(10000)[0][0], end=' ')
##
for i in range(int(input())):
n, m, k = [int(j) for j in input().split()]
a = [0 for j in range(k)]
pp = []
for j in range(n):
p = [int(k) for k in input().split()]
pp.append(p)
q = dict(co(p))
s = max(list(q.values()))
qq = set()
for k in list(q.keys()):
if (q[k] == s):
qq.add(k)
for k in range(len(p)):
if (p[k] in qq):
a[k] += 1
k = a.index(max(a))
for j in range(n):
print(pp[j][k], end=' ')
from collections import Counter as co
t, n = map(int, input().split())
l = []
for i in range(t):
l.append(list(input()))
l1 = list(zip(*l))
#print(l1)
s = ""
for i in l1:
c = co(sorted(i))
s += c.most_common(1)[0][0]
print(s)
d = [4,6,3]*10 d.count(4) # (e) [4,6,3, 4,6,3,...,4,6,3,4] where there are 11 occurrences of 4, 10 occurrences of 6 and 10 occur- # rences of 3. # In[ ]: e = [4,6,3]*11 del e[-1] from collections import Counter as co co(e) # 2. Create a list of the values of: 𝑒𝑥 cos(𝑥) for x=3, 3.1, 3.2, … 6. # In[ ]: import numpy as np x = np.arange(3,6.1,0.1) re = [np.exp(i)*np.cos(i) for i in x] re # Create a list of the values of:
from collections import Counter as co, deque as dq
for _ in range(int(input())):
n, k = map(int, input().split())
c = list(map(int, input().split()))
ans = 0
mc = max([x for x in co(c).items()], key=lambda x: x[1])
i = 0
while i < n:
if c[i] != mc[0]:
ans += 1
i += k
elif i + k >= n:
for _ in range(i, n):
if c[i] != mc[0]:
ans += 1
break
break
else:
i += 1
print(ans)
from collections import Counter as co
for t in range(int(raw_input())):
no = int(raw_input())
inp = map(int, raw_input().split())
setinp = co(inp)
flag = False
for val in setinp.values():
if val >= 3:
print "Yes"
flag = True
break
if not flag:
print "No"
def mode(A):
from collections import Counter as co
lis = co(A).most_common()
return min([lis[0][0]] + [i for i, j in lis[1:] if j == lis[0][1]])
from collections import Counter as co
for _ in range(int(input())):
x, y = map(int, input().split())
c = list(input())
count_of_commands = co(c)
cx = cy = 0
for i in c:
if i == 'R': cx += 1
if i == 'L': cx -= 1
if i == 'U': cy += 1
if i == 'D': cy -= 1
ans = "NO"
if cx < x:
if count_of_commands['L'] >= x - cx:
cx = x
if cx > x:
if count_of_commands['R'] >= cx - x:
cx = x
if cy > y:
if count_of_commands['U'] >= cy - y:
cy = y
if cy < y:
if count_of_commands['D'] >= y - cy:
cy = y
if cx == x and cy == y:
ans = "YES"
print(ans)
def __init__(self, a = 0, b = 1):
self.a = a
self.b = b
def __str__(self):
s = "{0} {1}".format(self.a, self.b)
return s
while l < len(arr) - 1 and r < len(arr):
curr_arr = []
curr_arr.append(arr[l])
curr_arr.append(arr[r])
count_arr = co(curr_arr)
#print(len(count_arr))
print()
# print(l, r)
print(arr[l], arr[l])
if len(count_arr) <= 2 and abs(curr_arr[0] - curr_arr[1]) <= 1:
print("Okay")
r += 1
set_arr.append(Node(l + 1, r + 1))
else:
l += 1
for i in range(len(set_arr)):
from collections import Counter as co
arr = [2, 2, 1]
arr = co(arr)
for i in arr:
if arr[i] == 1:
print(i)