Reputation: 558
So I'm trying to write a python function that takes in two arguments, n and num, and counts the occurrences of 'n' between 0 and num. For example,
countOccurrences(15,5)
should be 2
.
countOccurrences(100,5)
should be 20
.
I made a simple iterative solution to this problem:
def countOccurrences(num,n):
count=0
for x in range(0,num+1):
count += countHelper(str(x),n)
return count
def countHelper(number,n):
count=0
for digit in number:
if digit==n:
count += 1
return count
This ran into obvious problems if I tried to call countOccurrences(100000000000,5)
.
What my question is is how can I make this more efficient? I want to be able to handle the problem "fairly" fast, and avoid out of memory errors. Here is my first pass at a recursive solution trying to do this:
def countOccurence(num, n):
if num[0]==n:
return 1
else:
if len(num) > 1:
return countOccurence(num[1:],n) + countOccurence(str((int(num)-1)),n)
else:
return 0
Upvotes: 6
Views: 4048
Reputation: 1
See: https://math.stackexchange.com/a/1229292/974150
in python:
def counts_of_i_bf(n, i):
"""Counts the number of occurences in a range [0 .. n] of
the digit i [0...9]
Args:
n ([int]): upper value of range [0 ... n]
i ([type]): digit looking for [0.. 9]
Returns:
[int]: occurences of i in the range [0...n]
"""
return sum(str(d).count(str(i)) for d in range(n + 1))
def counts_of_i_dp(n, i):
"""Counts the number of occurences in a range [1 .. n] of
the digit i [1...9] by implementing the recurrence
relation:
| ak.10^(k-1) + fi(b) if a < i
fi(a.10^k +b) = | ak.10^(k-1) + 1 + fi(b) + b if a == i
| (ak + 10).10^(k-1) + fi(b) if a > i
see: https://math.stackexchange.com/a/1229292/974150
Args:
n ([int]): upper value of range [1 ... n]
i ([type]): digit looking for [1.. 9]
Returns:
[int]: occurences of i in the range [0...n]
"""
som = 0
while n > 0:
k = int(log10(n))
a = n // 10**k
b = n - a * 10**k
if a < i:
som += a*k*10**(k-1)
elif a == i:
som += a*k*10**(k-1) + 1 + b
else:
som += (a*k + 10)*10**(k-1)
n = b
return int(som)
def counts_of_0(n):
"""Counts the number of occurences in a range [1 .. n] of
the digit0 by implementing:
Tn = (k + 1)*(b + 1 + (a - 1)10^k) + ∑ 9*s*10(s - 1) for s=1.. k\
f0(n) = Tn -∑ 9s.10^(s-1) for s=1..9
see: https://math.stackexchange.com/a/1229292/974150
Args:
n ([int]): upper value of range [1 ... n]
Returns:
[int]: occurences of 0 in the range [1...n]
"""
k = int(log10(n))
a = n // 10**k
b = n - a * 10**k
Tn = (k + 1)*(b + 1 + (a - 1)*10**k) + sum(9*s*10**(s - 1) for s in range(1, k + 1))
return Tn - sum(counts_of_i_dp(n, i) for i in range(1, 10)) + 1 # was one of
def counts_of_i(n, i):
"""Counts the number of occurences in a range [0 .. n] of
the digit i [0...9]
Args:
n ([int]): upper value of range [0 ... n]
i ([type]): digit looking for [0.. 9]
Returns:
[int]: occurences of i in the range [0...n]
"""
if n == 0: return 1 if i == 0 else 0
if i == 0: return counts_of_0(n)
return counts_of_i_dp(n, i)
assert all(counts_of_i_bf(i, d) == counts_of_i(i, d) for i in range(1_001) for d in range(10))
Upvotes: 0
Reputation: 10493
This won't hit into any memory problems, until max_num
is small enough to fit in a C long
. Basically it's still a brute-force algorithm, though significantly optimized for Python.
def count_digit(max_num, digit):
str_digit = str(digit)
return sum(str(num).count(str_digit) for num in xrange(max_num+1))
Upvotes: 2
Reputation: 33
I have fixed my solution, and hopefully it fits your specifications. Let's go through the first helper function:
def splitNumber(num):
temp = str(number)
nums = list(temp)
return nums
This function creates a string listing of all the individual numbers in the number input. For example,
splitNumber(100)
would return:
['1', '0', '0']
From here, you call the main function and test each individual number with this main function:
def countOccurences(num, n):
count = 0
for x in range(0, (num + 1)):
temp = splitNumber(x)
for x in range(len(temp)):
if (temp[x] == str(n)):
count = count + 1
return count
Which should give the desired output. Let me know if this works for you!
Upvotes: 0