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0 | Write a function to find the minimum cost path to reach (m, n) from (0, 0) for the given cost matrix cost[][] and a position (m, n) in cost[][]. | R = 3
C = 3
def min_cost(cost, m, n):
tc = [[0 for x in range(C)] for x in range(R)]
tc[0][0] = cost[0][0]
for i in range(1, m+1):
tc[i][0] = tc[i-1][0] + cost[i][0]
for j in range(1, n+1):
tc[0][j] = tc[0][j-1] + cost[0][j]
for i in range(1, m+1):
for j in range(1, n+1):
tc[i][j] = min(tc[i-1][j-1], tc[i-1][j], tc[i][j-1]) + cost[i][j]
return tc[m][n] | MBPP_0 |
1 | Write a function to find the similar elements from the given two tuple lists. | def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return (res) | MBPP_1 |
2 | Write a python function to identify non-prime numbers. | import math
def is_not_prime(n):
result = False
for i in range(2,int(math.sqrt(n)) + 1):
if n % i == 0:
result = True
return result | MBPP_2 |
3 | Write a function to find the largest integers from a given list of numbers using heap queue algorithm. | import heapq as hq
def heap_queue_largest(nums,n):
largest_nums = hq.nlargest(n, nums)
return largest_nums | MBPP_3 |
4 | Write a function to find the number of ways to fill it with 2 x 1 dominoes for the given 3 x n board. | def count_ways(n):
A = [0] * (n + 1)
B = [0] * (n + 1)
A[0] = 1
A[1] = 0
B[0] = 0
B[1] = 1
for i in range(2, n+1):
A[i] = A[i - 2] + 2 * B[i - 1]
B[i] = A[i - 1] + B[i - 2]
return A[n] | MBPP_4 |
5 | Write a python function to check whether the two numbers differ at one bit position only or not. | def is_Power_Of_Two (x):
return x and (not(x & (x - 1)))
def differ_At_One_Bit_Pos(a,b):
return is_Power_Of_Two(a ^ b) | MBPP_5 |
6 | Write a function to find all words which are at least 4 characters long in a string by using regex. | import re
def find_char_long(text):
return (re.findall(r"\b\w{4,}\b", text)) | MBPP_6 |
7 | Write a function to find squares of individual elements in a list using lambda function. | def square_nums(nums):
square_nums = list(map(lambda x: x ** 2, nums))
return square_nums | MBPP_7 |
8 | Write a python function to find the minimum number of rotations required to get the same string. | def find_Rotations(str):
tmp = str + str
n = len(str)
for i in range(1,n + 1):
substring = tmp[i: i+n]
if (str == substring):
return i
return n | MBPP_8 |
9 | Write a function to get the n smallest items from a dataset. | import heapq
def small_nnum(list1,n):
smallest=heapq.nsmallest(n,list1)
return smallest | MBPP_9 |
10 | Write a python function to remove first and last occurrence of a given character from the string. | def remove_Occ(s,ch):
for i in range(len(s)):
if (s[i] == ch):
s = s[0 : i] + s[i + 1:]
break
for i in range(len(s) - 1,-1,-1):
if (s[i] == ch):
s = s[0 : i] + s[i + 1:]
break
return s | MBPP_10 |
11 | Write a function to sort a given matrix in ascending order according to the sum of its rows. | def sort_matrix(M):
result = sorted(M, key=sum)
return result | MBPP_11 |
12 | Write a function to count the most common words in a dictionary. | from collections import Counter
def count_common(words):
word_counts = Counter(words)
top_four = word_counts.most_common(4)
return (top_four)
| MBPP_12 |
13 | Write a python function to find the volume of a triangular prism. | def find_Volume(l,b,h) :
return ((l * b * h) / 2) | MBPP_13 |
14 | Write a function to split a string at lowercase letters. | import re
def split_lowerstring(text):
return (re.findall('[a-z][^a-z]*', text)) | MBPP_14 |
15 | Write a function to find sequences of lowercase letters joined with an underscore. | import re
def text_lowercase_underscore(text):
patterns = '^[a-z]+_[a-z]+$'
if re.search(patterns, text):
return 'Found a match!'
else:
return('Not matched!') | MBPP_15 |
16 | Write a function to find the perimeter of a square. | def square_perimeter(a):
perimeter=4*a
return perimeter | MBPP_16 |
17 | Write a function to remove characters from the first string which are present in the second string. | NO_OF_CHARS = 256
def str_to_list(string):
temp = []
for x in string:
temp.append(x)
return temp
def lst_to_string(List):
return ''.join(List)
def get_char_count_array(string):
count = [0] * NO_OF_CHARS
for i in string:
count[ord(i)] += 1
return count
def remove_dirty_chars(string, second_string):
count = get_char_count_array(second_string)
ip_ind = 0
res_ind = 0
temp = ''
str_list = str_to_list(string)
while ip_ind != len(str_list):
temp = str_list[ip_ind]
if count[ord(temp)] == 0:
str_list[res_ind] = str_list[ip_ind]
res_ind += 1
ip_ind+=1
return lst_to_string(str_list[0:res_ind]) | MBPP_17 |
18 | Write a function to find whether a given array of integers contains any duplicate element. | def test_duplicate(arraynums):
nums_set = set(arraynums)
return len(arraynums) != len(nums_set) | MBPP_18 |
19 | Write a function to check if the given number is woodball or not. | def is_woodall(x):
if (x % 2 == 0):
return False
if (x == 1):
return True
x = x + 1
p = 0
while (x % 2 == 0):
x = x/2
p = p + 1
if (p == x):
return True
return False | MBPP_19 |
20 | Write a function to find m number of multiples of n. | def multiples_of_num(m,n):
multiples_of_num= list(range(n,(m+1)*n, n))
return list(multiples_of_num) | MBPP_20 |
21 | Write a function to find the first duplicate element in a given array of integers. | def find_first_duplicate(nums):
num_set = set()
no_duplicate = -1
for i in range(len(nums)):
if nums[i] in num_set:
return nums[i]
else:
num_set.add(nums[i])
return no_duplicate | MBPP_21 |
22 | Write a python function to find the maximum sum of elements of list in a list of lists. | def maximum_Sum(list1):
maxi = -100000
for x in list1:
sum = 0
for y in x:
sum+= y
maxi = max(sum,maxi)
return maxi | MBPP_22 |
23 | Write a function to convert the given binary number to its decimal equivalent. | def binary_to_decimal(binary):
binary1 = binary
decimal, i, n = 0, 0, 0
while(binary != 0):
dec = binary % 10
decimal = decimal + dec * pow(2, i)
binary = binary//10
i += 1
return (decimal) | MBPP_23 |
24 | Write a python function to find the product of non-repeated elements in a given array. | def find_Product(arr,n):
arr.sort()
prod = 1
for i in range(0,n,1):
if (arr[i - 1] != arr[i]):
prod = prod * arr[i]
return prod; | MBPP_24 |
25 | Write a function to check if the given tuple list has all k elements. | def check_k_elements(test_list, K):
res = True
for tup in test_list:
for ele in tup:
if ele != K:
res = False
return (res) | MBPP_25 |
26 | Write a python function to remove all digits from a list of strings. | import re
def remove(list):
pattern = '[0-9]'
list = [re.sub(pattern, '', i) for i in list]
return list | MBPP_26 |
27 | Write a python function to find binomial co-efficient. | def binomial_Coeff(n,k):
if k > n :
return 0
if k==0 or k ==n :
return 1
return binomial_Coeff(n-1,k-1) + binomial_Coeff(n-1,k) | MBPP_27 |
28 | Write a python function to find the element occurring odd number of times. | def get_Odd_Occurrence(arr,arr_size):
for i in range(0,arr_size):
count = 0
for j in range(0,arr_size):
if arr[i] == arr[j]:
count+=1
if (count % 2 != 0):
return arr[i]
return -1 | MBPP_28 |
29 | Write a python function to count all the substrings starting and ending with same characters. | def check_Equality(s):
return (ord(s[0]) == ord(s[len(s) - 1]));
def count_Substring_With_Equal_Ends(s):
result = 0;
n = len(s);
for i in range(n):
for j in range(1,n-i+1):
if (check_Equality(s[i:i+j])):
result+=1;
return result; | MBPP_29 |
30 | Write a function to find the top k integers that occur most frequently from given lists of sorted and distinct integers using heap queue algorithm. | def func(nums, k):
import collections
d = collections.defaultdict(int)
for row in nums:
for i in row:
d[i] += 1
temp = []
import heapq
for key, v in d.items():
if len(temp) < k:
temp.append((v, key))
if len(temp) == k:
heapq.heapify(temp)
else:
if v > temp[0][0]:
heapq.heappop(temp)
heapq.heappush(temp, (v, key))
result = []
while temp:
v, key = heapq.heappop(temp)
result.append(key)
return result | MBPP_30 |
31 | Write a python function to find the largest prime factor of a given number. | import math
def max_Prime_Factors (n):
maxPrime = -1
while n%2 == 0:
maxPrime = 2
n >>= 1
for i in range(3,int(math.sqrt(n))+1,2):
while n % i == 0:
maxPrime = i
n = n / i
if n > 2:
maxPrime = n
return int(maxPrime) | MBPP_31 |
32 | Write a python function to convert a decimal number to binary number. | def decimal_To_Binary(N):
B_Number = 0
cnt = 0
while (N != 0):
rem = N % 2
c = pow(10,cnt)
B_Number += rem*c
N //= 2
cnt += 1
return B_Number | MBPP_32 |
33 | Write a python function to find the missing number in a sorted array. | def find_missing(ar,N):
l = 0
r = N - 1
while (l <= r):
mid = (l + r) / 2
mid= int (mid)
if (ar[mid] != mid + 1 and ar[mid - 1] == mid):
return (mid + 1)
elif (ar[mid] != mid + 1):
r = mid - 1
else:
l = mid + 1
return (-1) | MBPP_33 |
34 | Write a function to find the n-th rectangular number. | def find_rect_num(n):
return n*(n + 1) | MBPP_34 |
35 | Write a python function to find the nth digit in the proper fraction of two given numbers. | def find_Nth_Digit(p,q,N) :
while (N > 0) :
N -= 1;
p *= 10;
res = p // q;
p %= q;
return res; | MBPP_35 |
36 | Write a function to sort a given mixed list of integers and strings. | def sort_mixed_list(mixed_list):
int_part = sorted([i for i in mixed_list if type(i) is int])
str_part = sorted([i for i in mixed_list if type(i) is str])
return int_part + str_part | MBPP_36 |
37 | Write a function to find the division of first even and odd number of a given list. | def div_even_odd(list1):
first_even = next((el for el in list1 if el%2==0),-1)
first_odd = next((el for el in list1 if el%2!=0),-1)
return (first_even/first_odd) | MBPP_37 |
38 | Write a function to check if the letters of a given string can be rearranged so that two characters that are adjacent to each other are different. | import heapq
from collections import Counter
def rearange_string(S):
ctr = Counter(S)
heap = [(-value, key) for key, value in ctr.items()]
heapq.heapify(heap)
if (-heap[0][0]) * 2 > len(S) + 1:
return ""
ans = []
while len(heap) >= 2:
nct1, char1 = heapq.heappop(heap)
nct2, char2 = heapq.heappop(heap)
ans.extend([char1, char2])
if nct1 + 1: heapq.heappush(heap, (nct1 + 1, char1))
if nct2 + 1: heapq.heappush(heap, (nct2 + 1, char2))
return "".join(ans) + (heap[0][1] if heap else "") | MBPP_38 |
39 | Write a function to find frequency of the elements in a given list of lists using collections module. | from collections import Counter
from itertools import chain
def freq_element(nums):
result = Counter(chain.from_iterable(nums))
return result | MBPP_39 |
40 | Write a function to filter even numbers using lambda function. | def filter_evennumbers(nums):
even_nums = list(filter(lambda x: x%2 == 0, nums))
return even_nums | MBPP_40 |
41 | Write a python function to find the sum of repeated elements in a given array. | def find_Sum(arr,n):
return sum([x for x in arr if arr.count(x) > 1]) | MBPP_41 |
42 | Write a function to find sequences of lowercase letters joined with an underscore using regex. | import re
def text_match(text):
patterns = '^[a-z]+_[a-z]+$'
if re.search(patterns, text):
return ('Found a match!')
else:
return ('Not matched!') | MBPP_42 |
43 | Write a function that matches a word at the beginning of a string. | import re
def text_match_string(text):
patterns = '^\w+'
if re.search(patterns, text):
return 'Found a match!'
else:
return 'Not matched!' | MBPP_43 |
44 | Write a function to find the gcd of the given array elements. | def find_gcd(x, y):
while(y):
x, y = y, x % y
return x
def get_gcd(l):
num1 = l[0]
num2 = l[1]
gcd = find_gcd(num1, num2)
for i in range(2, len(l)):
gcd = find_gcd(gcd, l[i])
return gcd | MBPP_44 |
45 | Write a python function to determine whether all the numbers are different from each other are not. | def test_distinct(data):
if len(data) == len(set(data)):
return True
else:
return False; | MBPP_45 |
46 | Write a python function to find the last digit when factorial of a divides factorial of b. | def compute_Last_Digit(A,B):
variable = 1
if (A == B):
return 1
elif ((B - A) >= 5):
return 0
else:
for i in range(A + 1,B + 1):
variable = (variable * (i % 10)) % 10
return variable % 10 | MBPP_46 |
47 | Write a python function to set all odd bits of a given number. | def odd_bit_set_number(n):
count = 0;res = 0;temp = n
while temp > 0:
if count % 2 == 0:
res |= (1 << count)
count += 1
temp >>= 1
return (n | res) | MBPP_47 |
48 | Write a function to extract every first or specified element from a given two-dimensional list. | def specified_element(nums, N):
result = [i[N] for i in nums]
return result
| MBPP_48 |
49 | Write a function to find the list with minimum length using lambda function. | def min_length_list(input_list):
min_length = min(len(x) for x in input_list )
min_list = min(input_list, key = lambda i: len(i))
return(min_length, min_list) | MBPP_49 |
50 | Write a function to print check if the triangle is equilateral or not. | def check_equilateral(x,y,z):
if x == y == z:
return True
else:
return False | MBPP_50 |
51 | Write a function to caluclate area of a parallelogram. | def parallelogram_area(b,h):
area=b*h
return area | MBPP_51 |
52 | Write a python function to check whether the first and last characters of a given string are equal or not. | def check_Equality(str):
if (str[0] == str[-1]):
return ("Equal")
else:
return ("Not Equal") | MBPP_52 |
53 | Write a function to sort the given array by using counting sort. | def counting_sort(my_list):
max_value = 0
for i in range(len(my_list)):
if my_list[i] > max_value:
max_value = my_list[i]
buckets = [0] * (max_value + 1)
for i in my_list:
buckets[i] += 1
i = 0
for j in range(max_value + 1):
for a in range(buckets[j]):
my_list[i] = j
i += 1
return my_list | MBPP_53 |
54 | Write a function to find t-nth term of geometric series. | import math
def tn_gp(a,n,r):
tn = a * (math.pow(r, n - 1))
return tn | MBPP_54 |
55 | Write a python function to check if a given number is one less than twice its reverse. | def rev(num):
rev_num = 0
while (num > 0):
rev_num = (rev_num * 10 + num % 10)
num = num // 10
return rev_num
def check(n):
return (2 * rev(n) == n + 1) | MBPP_55 |
56 | Write a python function to find the largest number that can be formed with the given digits. | def find_Max_Num(arr,n) :
arr.sort(reverse = True)
num = arr[0]
for i in range(1,n) :
num = num * 10 + arr[i]
return num | MBPP_56 |
57 | Write a python function to check whether the given two integers have opposite sign or not. | def opposite_Signs(x,y):
return ((x ^ y) < 0); | MBPP_57 |
58 | Write a function to find the nth octagonal number. | def is_octagonal(n):
return 3 * n * n - 2 * n | MBPP_58 |
59 | Write a function to find the maximum length of the subsequence with difference between adjacent elements for the given array. | def max_len_sub( arr, n):
mls=[]
max = 0
for i in range(n):
mls.append(1)
for i in range(n):
for j in range(i):
if (abs(arr[i] - arr[j]) <= 1 and mls[i] < mls[j] + 1):
mls[i] = mls[j] + 1
for i in range(n):
if (max < mls[i]):
max = mls[i]
return max | MBPP_59 |
60 | Write a python function to count number of substrings with the sum of digits equal to their length. | from collections import defaultdict
def count_Substrings(s,n):
count,sum = 0,0
mp = defaultdict(lambda : 0)
mp[0] += 1
for i in range(n):
sum += ord(s[i]) - ord('0')
count += mp[sum - (i + 1)]
mp[sum - (i + 1)] += 1
return count | MBPP_60 |
61 | Write a python function to find smallest number in a list. | def smallest_num(xs):
return min(xs)
| MBPP_61 |
62 | Write a function to find the maximum difference between available pairs in the given tuple list. | def max_difference(test_list):
temp = [abs(b - a) for a, b in test_list]
res = max(temp)
return (res) | MBPP_62 |
63 | Write a function to sort a list of tuples using lambda. | def subject_marks(subjectmarks):
#subject_marks = [('English', 88), ('Science', 90), ('Maths', 97), ('Social sciences', 82)])
subjectmarks.sort(key = lambda x: x[1])
return subjectmarks | MBPP_63 |
64 | Write a function of recursion list sum. | def recursive_list_sum(data_list):
total = 0
for element in data_list:
if type(element) == type([]):
total = total + recursive_list_sum(element)
else:
total = total + element
return total | MBPP_64 |
65 | Write a python function to count positive numbers in a list. | def pos_count(list):
pos_count= 0
for num in list:
if num >= 0:
pos_count += 1
return pos_count | MBPP_65 |
66 | Write a function to find the number of ways to partition a set of bell numbers. | def bell_number(n):
bell = [[0 for i in range(n+1)] for j in range(n+1)]
bell[0][0] = 1
for i in range(1, n+1):
bell[i][0] = bell[i-1][i-1]
for j in range(1, i+1):
bell[i][j] = bell[i-1][j-1] + bell[i][j-1]
return bell[n][0] | MBPP_66 |
67 | Write a python function to check whether the given array is monotonic or not. | def is_Monotonic(A):
return (all(A[i] <= A[i + 1] for i in range(len(A) - 1)) or
all(A[i] >= A[i + 1] for i in range(len(A) - 1))) | MBPP_67 |
68 | Write a function to check whether a list contains the given sublist or not. | def is_sublist(l, s):
sub_set = False
if s == []:
sub_set = True
elif s == l:
sub_set = True
elif len(s) > len(l):
sub_set = False
else:
for i in range(len(l)):
if l[i] == s[0]:
n = 1
while (n < len(s)) and (l[i+n] == s[n]):
n += 1
if n == len(s):
sub_set = True
return sub_set | MBPP_68 |
69 | Write a function to find whether all the given tuples have equal length or not. | def find_equal_tuple(Input, k):
flag = 1
for tuple in Input:
if len(tuple) != k:
flag = 0
break
return flag
def get_equal(Input, k):
if find_equal_tuple(Input, k) == 1:
return ("All tuples have same length")
else:
return ("All tuples do not have same length") | MBPP_69 |
70 | Write a function to sort a list of elements using comb sort. | def comb_sort(nums):
shrink_fact = 1.3
gaps = len(nums)
swapped = True
i = 0
while gaps > 1 or swapped:
gaps = int(float(gaps) / shrink_fact)
swapped = False
i = 0
while gaps + i < len(nums):
if nums[i] > nums[i+gaps]:
nums[i], nums[i+gaps] = nums[i+gaps], nums[i]
swapped = True
i += 1
return nums | MBPP_70 |
71 | Write a python function to check whether the given number can be represented as difference of two squares or not. | def dif_Square(n):
if (n % 4 != 2):
return True
return False | MBPP_71 |
72 | Write a function to split the given string with multiple delimiters by using regex. | import re
def multiple_split(text):
return (re.split('; |, |\*|\n',text)) | MBPP_72 |
73 | Write a function to check whether it follows the sequence given in the patterns array. | def is_samepatterns(colors, patterns):
if len(colors) != len(patterns):
return False
sdict = {}
pset = set()
sset = set()
for i in range(len(patterns)):
pset.add(patterns[i])
sset.add(colors[i])
if patterns[i] not in sdict.keys():
sdict[patterns[i]] = []
keys = sdict[patterns[i]]
keys.append(colors[i])
sdict[patterns[i]] = keys
if len(pset) != len(sset):
return False
for values in sdict.values():
for i in range(len(values) - 1):
if values[i] != values[i+1]:
return False
return True | MBPP_73 |
74 | Write a function to find tuples which have all elements divisible by k from the given list of tuples. | def find_tuples(test_list, K):
res = [sub for sub in test_list if all(ele % K == 0 for ele in sub)]
return (str(res)) | MBPP_74 |
75 | Write a python function to count the number of squares in a rectangle. | def count_Squares(m,n):
if(n < m):
temp = m
m = n
n = temp
return ((m * (m + 1) * (2 * m + 1) / 6 + (n - m) * m * (m + 1) / 2)) | MBPP_75 |
76 | Write a python function to find the difference between sum of even and odd digits. | def is_Diff(n):
return (n % 11 == 0) | MBPP_76 |
77 | Write a python function to find number of integers with odd number of set bits. | def count_With_Odd_SetBits(n):
if (n % 2 != 0):
return (n + 1) / 2
count = bin(n).count('1')
ans = n / 2
if (count % 2 != 0):
ans += 1
return ans | MBPP_77 |
78 | Write a python function to check whether the length of the word is odd or not. | def word_len(s):
s = s.split(' ')
for word in s:
if len(word)%2!=0:
return True
else:
return False | MBPP_78 |
79 | Write a function to find the nth tetrahedral number. | def tetrahedral_number(n):
return (n * (n + 1) * (n + 2)) / 6 | MBPP_79 |
80 | Write a function to zip the two given tuples. | def zip_tuples(test_tup1, test_tup2):
res = []
for i, j in enumerate(test_tup1):
res.append((j, test_tup2[i % len(test_tup2)]))
return (res) | MBPP_80 |
81 | Write a function to find the volume of a sphere. | import math
def volume_sphere(r):
volume=(4/3)*math.pi*r*r*r
return volume | MBPP_81 |
82 | Write a python function to find the character made by adding all the characters of the given string. | def get_Char(strr):
summ = 0
for i in range(len(strr)):
summ += (ord(strr[i]) - ord('a') + 1)
if (summ % 26 == 0):
return ord('z')
else:
summ = summ % 26
return chr(ord('a') + summ - 1) | MBPP_82 |
83 | Write a function to find the n-th number in newman conway sequence. | def sequence(n):
if n == 1 or n == 2:
return 1
else:
return sequence(sequence(n-1)) + sequence(n-sequence(n-1)) | MBPP_83 |
84 | Write a function to find the surface area of a sphere. | import math
def surfacearea_sphere(r):
surfacearea=4*math.pi*r*r
return surfacearea | MBPP_84 |
85 | Write a function to find nth centered hexagonal number. | def centered_hexagonal_number(n):
return 3 * n * (n - 1) + 1 | MBPP_85 |
86 | Write a function to merge three dictionaries into a single expression. | import collections as ct
def merge_dictionaries_three(dict1,dict2, dict3):
merged_dict = dict(ct.ChainMap({},dict1,dict2,dict3))
return merged_dict | MBPP_86 |
87 | Write a function to get the frequency of the elements in a list. | import collections
def freq_count(list1):
freq_count= collections.Counter(list1)
return freq_count | MBPP_87 |
88 | Write a function to find the closest smaller number than n. | def closest_num(N):
return (N - 1) | MBPP_88 |
89 | Write a python function to find the length of the longest word. | def len_log(list1):
max=len(list1[0])
for i in list1:
if len(i)>max:
max=len(i)
return max | MBPP_89 |
90 | Write a function to check if a substring is present in a given list of string values. | def find_substring(str1, sub_str):
if any(sub_str in s for s in str1):
return True
return False | MBPP_90 |
91 | Write a function to check whether the given number is undulating or not. | def is_undulating(n):
if (len(n) <= 2):
return False
for i in range(2, len(n)):
if (n[i - 2] != n[i]):
return False
return True | MBPP_91 |
92 | Write a function to calculate the value of 'a' to the power 'b'. | def power(a,b):
if b==0:
return 1
elif a==0:
return 0
elif b==1:
return a
else:
return a*power(a,b-1) | MBPP_92 |
93 | Write a function to extract the index minimum value record from the given tuples. | from operator import itemgetter
def index_minimum(test_list):
res = min(test_list, key = itemgetter(1))[0]
return (res) | MBPP_93 |
94 | Write a python function to find the minimum length of sublist. | def Find_Min_Length(lst):
minLength = min(len(x) for x in lst )
return minLength | MBPP_94 |
95 | Write a python function to find the number of divisors of a given integer. | def divisor(n):
for i in range(n):
x = len([i for i in range(1,n+1) if not n % i])
return x | MBPP_95 |
96 | Write a function to find frequency count of list of lists. | def frequency_lists(list1):
list1 = [item for sublist in list1 for item in sublist]
dic_data = {}
for num in list1:
if num in dic_data.keys():
dic_data[num] += 1
else:
key = num
value = 1
dic_data[key] = value
return dic_data
| MBPP_96 |
97 | Write a function to multiply all the numbers in a list and divide with the length of the list. | def multiply_num(numbers):
total = 1
for x in numbers:
total *= x
return total/len(numbers) | MBPP_97 |
98 | Write a function to convert the given decimal number to its binary equivalent. | def decimal_to_binary(n):
return bin(n).replace("0b","") | MBPP_98 |
99 | Write a function to find the next smallest palindrome of a specified number. | import sys
def next_smallest_palindrome(num):
numstr = str(num)
for i in range(num+1,sys.maxsize):
if str(i) == str(i)[::-1]:
return i | MBPP_99 |
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