Split an integer into digits to compute an ISBN checksum [duplicate] - python

This question already has answers here:
How to split an integer into a list of digits?
(10 answers)
Closed last month.
I'm writing a program which calculates the check digit of an ISBN number. I have to read the user's input (nine digits of an ISBN) into an integer variable, and then multiply the last digit by 2, the second last digit by 3 and so on. How can I "split" the integer into its constituent digits to do this? As this is a basic homework exercise I am not supposed to use a list.

Just create a string out of it.
myinteger = 212345
number_string = str(myinteger)
That's enough. Now you can iterate over it:
for ch in number_string:
print ch # will print each digit in order
Or you can slice it:
print number_string[:2] # first two digits
print number_string[-3:] # last three digits
print number_string[3] # forth digit
Or better, don't convert the user's input to an integer (the user types a string)
isbn = raw_input()
for pos, ch in enumerate(reversed(isbn)):
print "%d * %d is %d" % pos + 2, int(ch), int(ch) * (pos + 2)
For more information read a tutorial.

while number:
digit = number % 10
# do whatever with digit
# remove last digit from number (as integer)
number //= 10
On each iteration of the loop, it removes the last digit from number, assigning it to digit.
It's in reverse, starts from the last digit, finishes with the first

list_of_ints = [int(i) for i in str(ISBN)]
Will give you a ordered list of ints. Of course, given duck typing, you might as well work with str(ISBN).
Edit: As mentioned in the comments, this list isn't sorted in the sense of being ascending or descending, but it does have a defined order (sets, dictionaries, etc in python in theory don't, although in practice the order tends to be fairly reliable). If you want to sort it:
list_of_ints.sort()
is your friend. Note that sort() sorts in place (as in, actually changes the order of the existing list) and doesn't return a new list.

On Older versions of Python...
map(int,str(123))
On New Version 3k
list(map(int,str(123)))

(number/10**x)%10
You can use this in a loop, where number is the full number, x is each iteration of the loop (0,1,2,3,...,n) with n being the stop point. x = 0 gives the ones place, x = 1 gives the tens, x = 2 gives the hundreds, and so on. Keep in mind that this will give the value of the digits from right to left, so this might not be the for an ISBN but it will still isolate each digit.

Convert it to string and map over it with the int() function.
map(int, str(1231231231))

Recursion version:
def int_digits(n):
return [n] if n<10 else int_digits(n/10)+[n%10]

Converting to str is definitely slower then dividing by 10.
map is sligthly slower than list comprehension:
convert to string with map 2.13599181175
convert to string with list comprehension 1.92812991142
modulo, division, recursive 0.948769807816
modulo, division 0.699964046478
These times were returned by the following code on my laptop:
foo = """\
def foo(limit):
return sorted(set(map(sum, map(lambda x: map(int, list(str(x))), map(lambda x: x * 9, range(limit))))))
foo(%i)
"""
bar = """\
def bar(limit):
return sorted(set([sum([int(i) for i in str(n)]) for n in [k *9 for k in range(limit)]]))
bar(%i)
"""
rac = """\
def digits(n):
return [n] if n<10 else digits(n / 10)+[n %% 10]
def rabbit(limit):
return sorted(set([sum(digits(n)) for n in [k *9 for k in range(limit)]]))
rabbit(%i)
"""
rab = """\
def sum_digits(number):
result = 0
while number:
digit = number %% 10
result += digit
number /= 10
return result
def rabbit(limit):
return sorted(set([sum_digits(n) for n in [k *9 for k in range(limit)]]))
rabbit(%i)
"""
import timeit
print "convert to string with map", timeit.timeit(foo % 100, number=10000)
print "convert to string with list comprehension", timeit.timeit(bar % 100, number=10000)
print "modulo, division, recursive", timeit.timeit(rac % 100, number=10000)
print "modulo, division", timeit.timeit(rab % 100, number=10000)

After own diligent searches I found several solutions, where each has advantages and disadvantages. Use the most suitable for your task.
All examples tested with the CPython 3.5 on the operation system GNU/Linux Debian 8.
Using a recursion
Code
def get_digits_from_left_to_right(number, lst=None):
"""Return digits of an integer excluding the sign."""
if lst is None:
lst = list()
number = abs(number)
if number < 10:
lst.append(number)
return tuple(lst)
get_digits_from_left_to_right(number // 10, lst)
lst.append(number % 10)
return tuple(lst)
Demo
In [121]: get_digits_from_left_to_right(-64517643246567536423)
Out[121]: (6, 4, 5, 1, 7, 6, 4, 3, 2, 4, 6, 5, 6, 7, 5, 3, 6, 4, 2, 3)
In [122]: get_digits_from_left_to_right(0)
Out[122]: (0,)
In [123]: get_digits_from_left_to_right(123012312312321312312312)
Out[123]: (1, 2, 3, 0, 1, 2, 3, 1, 2, 3, 1, 2, 3, 2, 1, 3, 1, 2, 3, 1, 2, 3, 1, 2)
Using the function divmod
Code
def get_digits_from_right_to_left(number):
"""Return digits of an integer excluding the sign."""
number = abs(number)
if number < 10:
return (number, )
lst = list()
while number:
number, digit = divmod(number, 10)
lst.insert(0, digit)
return tuple(lst)
Demo
In [125]: get_digits_from_right_to_left(-3245214012321021213)
Out[125]: (3, 2, 4, 5, 2, 1, 4, 0, 1, 2, 3, 2, 1, 0, 2, 1, 2, 1, 3)
In [126]: get_digits_from_right_to_left(0)
Out[126]: (0,)
In [127]: get_digits_from_right_to_left(9999999999999999)
Out[127]: (9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9)
Using a construction tuple(map(int, str(abs(number)))
In [109]: tuple(map(int, str(abs(-123123123))))
Out[109]: (1, 2, 3, 1, 2, 3, 1, 2, 3)
In [110]: tuple(map(int, str(abs(1412421321312))))
Out[110]: (1, 4, 1, 2, 4, 2, 1, 3, 2, 1, 3, 1, 2)
In [111]: tuple(map(int, str(abs(0))))
Out[111]: (0,)
Using the function re.findall
In [112]: tuple(map(int, re.findall(r'\d', str(1321321312))))
Out[112]: (1, 3, 2, 1, 3, 2, 1, 3, 1, 2)
In [113]: tuple(map(int, re.findall(r'\d', str(-1321321312))))
Out[113]: (1, 3, 2, 1, 3, 2, 1, 3, 1, 2)
In [114]: tuple(map(int, re.findall(r'\d', str(0))))
Out[114]: (0,)
Using the module decimal
In [117]: decimal.Decimal(0).as_tuple().digits
Out[117]: (0,)
In [118]: decimal.Decimal(3441120391321).as_tuple().digits
Out[118]: (3, 4, 4, 1, 1, 2, 0, 3, 9, 1, 3, 2, 1)
In [119]: decimal.Decimal(-3441120391321).as_tuple().digits
Out[119]: (3, 4, 4, 1, 1, 2, 0, 3, 9, 1, 3, 2, 1)

Use the body of this loop to do whatever you want to with the digits
for digit in map(int, str(my_number)):

I have made this program and here is the bit of code that actually calculates the check digit in my program
#Get the 10 digit number
number=input("Please enter ISBN number: ")
#Explained below
no11 = (((int(number[0])*11) + (int(number[1])*10) + (int(number[2])*9) + (int(number[3])*8)
+ (int(number[4])*7) + (int(number[5])*6) + (int(number[6])*5) + (int(number[7])*4) +
(int(number[8])*3) + (int(number[9])*2))/11)
#Round to 1 dp
no11 = round(no11, 1)
#explained below
no11 = str(no11).split(".")
#get the remainder and check digit
remainder = no11[1]
no11 = (11 - int(remainder))
#Calculate 11 digit ISBN
print("Correct ISBN number is " + number + str(no11))
Its a long line of code, but it splits the number up, multiplies the digits by the appropriate amount, adds them together and divides them by 11, in one line of code. The .split() function just creates a list (being split at the decimal) so you can take the 2nd item in the list and take that from 11 to find the check digit. This could also be made even more efficient by changing these two lines:
remainder = no11[1]
no11 = (11 - int(remainder))
To this:
no11 = (11 - int(no11[1]))
Hope this helps :)

Similar to this answer but more a more "pythonic" way to iterate over the digis would be:
while number:
# "pop" the rightmost digit
number, digit = divmod(number, 10)

How about a one-liner list of digits...
ldigits = lambda n, l=[]: not n and l or l.insert(0,n%10) or ldigits(n/10,l)

Answer: 165
Method: brute-force! Here is a tiny bit of Python (version 2.7) code to count'em all.
from math import sqrt, floor
is_ps = lambda x: floor(sqrt(x)) ** 2 == x
count = 0
for n in range(1002, 10000, 3):
if n % 11 and is_ps(sum(map(int, str(n)))):
count += 1
print "#%i: %s" % (count, n)

Just assuming you want to get the i-th least significant digit from an integer number x, you can try:
(abs(x)%(10**i))/(10**(i-1))
I hope it helps.

Related

how to make sure that two numbers next to each other in a list are different

I have a simple code that generates a list of random numbers.
x = [random.randrange(0,11) for i in range(10)]
The problem I'm having is that, since it's random, it sometimes produces duplicate numbers right next to each other. How do I change the code so that it never happens? I'm looking for something like this:
[1, 7, 2, 8, 7, 2, 8, 2, 6, 5]
So that every time I run the code, all the numbers that are next to each other are different.
x = []
while len(x) < 10:
r = random.randrange(0,11)
if not x or x[-1] != r:
x.append(r)
x[-1] contains the last inserted element, which we check not to be the same as the new random number. With not x we check that the array is not empty, as it would generate a IndexError during the first iteration of the loop
Here's an approach that doesn't rely on retrying:
>>> import random
>>> x = [random.choice(range(12))]
>>> for _ in range(9):
... x.append(random.choice([*range(x[-1]), *range(x[-1]+1, 12)]))
...
>>> x
[6, 2, 5, 8, 1, 8, 0, 4, 6, 0]
The idea is to choose each new number by picking from a list that excludes the previously picked number.
Note that having to re-generate a new list to pick from each time keeps this from actually being an efficiency improvement. If you were generating a very long list from a relatively short range, though, it might be worthwhile to generate different pools of numbers up front so that you could then select from the appropriate one in constant time:
>>> pool = [[*range(i), *range(i+1, 3)] for i in range(3)]
>>> x = [random.choice(random.choice(pool))]
>>> for _ in range(10000):
... x.append(random.choice(pool[x[-1]]))
...
>>> x
[0, 2, 0, 2, 0, 2, 1, 0, 1, 2, 0, 1, 2, 1, 0, ...]
O(n) solution by adding to the last element randomly from [1,stop) modulo stop
import random
x = [random.randrange(0,11)]
x.extend((x[-1]+random.randrange(1,11)) % 11 for i in range(9))
x
Output
[0, 10, 4, 5, 10, 1, 4, 8, 0, 9]
from random import randrange
from itertools import islice, groupby
# Make an infinite amount of randrange's results available
pool = iter(lambda: randrange(0, 11), None)
# Use groupby to squash consecutive values into one and islice to at most 10 in total
result = [v for v, _ in islice(groupby(pool), 10)]
Function solution that doesn't iterate to check for repeats, just checks each add against the last number in the list:
import random
def get_random_list_without_neighbors(lower_limit, upper_limit, length):
res = []
# add the first number
res.append(random.randrange(lower_limit, upper_limit))
while len(res) < length:
x = random.randrange(lower_limit, upper_limit)
# check that the new number x doesn't match the last number in the list
if x != res[-1]:
res.append(x)
return res
>>> print(get_random_list_without_neighbors(0, 11, 10)
[10, 1, 2, 3, 1, 8, 6, 5, 6, 2]
def random_sequence_without_same_neighbours(n, min, max):
x = [random.randrange(min, max + 1)]
uniq_value_count = max - min + 1
next_choises_count = uniq_value_count - 1
for i in range(n - 1):
circular_shift = random.randrange(0, next_choises_count)
x.append(min + (x[-1] + circular_shift + 1) % uniq_value_count)
return x
random_sequence_without_same_neighbours(n=10, min=0, max=10)
It's not to much pythonic but you can do something like this
import random
def random_numbers_generator(n):
"Generate a list of random numbers but without two duplicate numbers in a row "
result = []
for _ in range(n):
number = random.randint(1, n)
if result and number == result[-1]:
continue
result.append(number)
return result
print(random_numbers_generator(10))
Result:
3, 6, 2, 4, 2, 6, 2, 1, 4, 7]

Hardest python generator interview question - python generator object of ranges of numbers

got this one in a python course, still can't figure it out:
Input - a string of start and end points a of a desired range.
Output - a generator of numbers containing all the numbers in all of the ranges.
The problem: making a function, using only two generators expressions (no for loops).
Example:
Input:
list(parse_ranges("1-2,4-4,8-10"))
Desired output:
[1, 2, 4, 8, 9, 10]
what I've come to so far:
def parse_ranges(ranges_string):
first_generator = ([int(i[0]),int(i[-1])] for i in ranges_string.split(','))
second_generator = (range(j[0],j[1]) for j in first_generator)
return second_generator
my output:
[range(1, 2), range(4, 4), range(8, 0)]
Well, that does it, but I wouldn't recommend to write such unreadable code...
def parse_ranges(string):
ranges = (tuple(map(int, (s.split('-')))) for s in string.split(','))
return (x for r in ranges for x in range(r[0], r[1]+1) )
list(parse_ranges("1-2,4-4,8-10"))
# [1, 2, 4, 8, 9, 10]
My two cents:
s = "1-2,4-4,8-10"
def parse_ranges(s):
ranges = ((int(start), int(stop) + 1) for start, stop in (chunk.split('-') for chunk in s.split(',')))
yield from (i for start, end in ranges for i in range(start, end))
print(list(parse_ranges(s)))
Output
[1, 2, 4, 8, 9, 10]

Printing out prime numbers based on a previous function in python

I have a function called prime_sieve(N) in python, and this function assigns a 0 to a number if it is not a prime number and 1 if it is a prime number - it is called mask. This function works properly. The problem is in the 2nd function below the code for prime_sieve(N) and the code is:
import numpy as np
def prime_sieve(N):
nums = np.arange(2, N + 2, 1)
mask = 1 + np.zeroes(N, dtype = int)
for n in nums:
for i in np.arange(2 * n - 2, N, n):
mask[i] = 0
return nums, mask
numbers, mask = prime_sieve(8)
print(numbers) #prints out the actual numbers starting at 2
print(mask) #prints out the 0s and 1s assigned to the values if they are a prime or not.
I have to use the above mentioned function in a function called primes_list(N) to print out only the prime numbers from the list. The code for primes_list(N) is:
def primes_list(N):
for i in range (0, N, 1):
if mask[i] == 1:
return prime_sieve(numbers[i])
print(primes_list(8))
The output I receive from the prime_sieve(N) function is:
[2, 3, 4, 5, 6, 7, 8, 9]
[1, 1, 0, 1, 0, 1, 0, 0]
The output I receive from the primes_list(N) function is:
Expected output: [2, 3, 5, 7]
My output: (array([2, 3]), array([1, 1]))
Any suggestion will be highly appreciated.
Your primes_list doesn't make sense:
def primes_list(N):
for i in range (0, N, 1):
if mask[i] == 1:
return prime_sieve(numbers[i])
mask is not defined, and even if you're using the mask from earlier, it will be true at 2, which will then call prime_sieve(numbers[2]) where numbers is also undefined. If we further accept the global numbers, that gives us prime_sieve[3], regardless of what N they put in (where N >= 3). The result of prime_sieve[3] is a tuple: ([2, 3], [1, 1]).
Try:
def primes_list(N):
nums, mask = prime_sieve(N)
return [nums[i] for i in range(len(nums)) if mask[i]]
This takes the results of prime_sieve and only returns the numbers which are prime: (where mask[i] == True)
Result: [2, 3, 5, 7]
return immediately exits the function and gives you whatever the value is at that point.
Try for example,
def f():
for i in (1, 2, 3):
return i
print(f())
This just prints 1.
You need to either return a tuple of the stuff you want, e.g.
def f():
return (1, 2, 3)
print(f())
or use the yield statement, e.g.
def f():
for i in (1, 2, 3):
yield i
for thing in f():
print(thing)

How to I write a recursive function for split even and odd indices of array?

This is question for my interview.
Write a recursive function that does the following:
Input: An array A of length N. N is an even number and N >= 2.
Output: A reordered array B. The first half of B contains A’s elements with even indices. The second half of B contains A’s elements with odd indices. Convention: the first index of an array is 0 (and thus it is an even number).
Input 1: [4, 8, 12, 16]
For this array, the indices and the values are as follows:
Index: 0, 1, 2, 3
Value: 4, 8, 12, 16
Thus, the output is as follows:
Expected output 1: [4, 12, 8, 16]
ADDITIONAL TEST CASE
Input 2: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
Expected output 2: [1, 3, 5, 7, 9, 2, 4, 6, 8, 10]
TASK
Write a recursive function in a programming language of your choice (as if you are writing real code to be used on a production server) for the above problem
In addition to the main function, you are free to write helper functions (if needed)
The code should have as few lines as possible (but it should still be clear and readable)
Note: Your recursive function must show the 'spirit' of a recursive function (not just the recursive form of a for loop)
Here is my code:
def slove(array, deep=0):
'''para:
array: list input.
return: list.
!!!Do not set value for deep!!!'''
if len(array) > 2:
if deep > 0:
for i in xrange(0, len(array), 2):
array[i], array[i + 1] = array[i + 1], array[i]
left = array[0]
right = array[-1]
array = array[1:-1]
array = slove(array, deep + 1)
array.insert(0, left)
array.append(right)
return array
else:
array[0], array[-1] = array[-1], array[0]
return array
if __name__ == '__main__':
array = map(int, raw_input('Enter array with sep is space key: ').split(' '))
# array = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
print slove(array)
He said that it is wrong because I use loop in program. He is correct? So how to solve it?
Why not just use slicing?
lst = [11,12,13,14,15,16]
lst[0::2] + lst[1::2]
Returns:
[11, 13, 15, 12, 14, 16]
This pseudocode function might help:
Let A[n] and B[n] be the 2 arrays where n is the size.
Then we will call the following method rearrange(0,0):
rearrange(int i, int j) {
b[j] = a[i];
b[j+n/2] = a[i+1];
if (j < n/2-1)
rearrange(i+2,j+1);
}
In this method, i jumps 2 times each therefore the odd items get stored in the first half of the output array. For the second half, j+n/2 saves the even items.
This is one (awkward) way to do it:
def even_odd_split(seq):
"""
>>> even_odd_split([4, 8, 12, 16])
[4, 12, 8, 16]
>>> even_odd_split([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
[1, 3, 5, 7, 9, 2, 4, 6, 8, 10]
"""
assert(len(seq) % 2 == 0)
assert(len(seq) > 1)
def _split(seq):
if len(seq) == 0: return [], []
a, b = _split(seq[2:])
return [seq[0]] + a, [seq[1]] + b
a, b = _split(seq)
return a + b
if __name__ == '__main__':
import doctest
doctest.testmod()
I would solve it like this:
def f(l):
if len(l) == 1:
# only one element left
return l
if len(l) % 2 == 0:
# length is even
return l[:1] + f(l[1:])
else:
# length is odd
return f(l[1:]) + l[:1]
Every invocation of the function removes one element from the list and either puts it at the beginning or at the end of the resulting list.
It does not produce the given “expected” outputs, because the elements of the list appear in another order than they appear in the input list, but it matches the specification… and also, I think it’s pretty simple.

Python - iterating beginning with the middle of the list and then checking either side

Really not sure where this fits. Say, I have a list:
>>>a = [1, 2, 3, 4, 5, 6, 7]
How can I iterate it in such a way, that it will check 4 first, then 5, then 3, then 6, and then 2(and so on for bigger lists)? I have only been able to work out the middle which is
>>>middle = [len(a)/2 if len(a) % 2 = 0 else ((len(a)+1)/2)]
I'm really not sure how to apply this, nor am I sure that my way of working out the middle is the best way. I've thought of grabbing two indexes and after each iteration, adding 1 and subtracting 1 from each respective index but have no idea how to make a for loop abide by these rules.
With regards as to why I need this; it's for analysing a valid play in a card game and will check from the middle card of a given hand up to each end until a valid card can be played.
You can just keep removing from the middle of list:
lst = range(1, 8)
while lst:
print lst.pop(len(lst)/2)
This is not the best solution performance-wise (removing item from list is expensive), but it is simple - good enough for a simple game.
EDIT:
More performance stable solution would be a generator, that calculates element position:
def iter_from_middle(lst):
try:
middle = len(lst)/2
yield lst[middle]
for shift in range(1, middle+1):
# order is important!
yield lst[middle - shift]
yield lst[middle + shift]
except IndexError: # occures on lst[len(lst)] or for empty list
raise StopIteration
To begin with, here is a very useful general purpose utility to interleave two sequences:
def imerge(a, b):
for i, j in itertools.izip_longest(a,b):
yield i
if j is not None:
yield j
with that, you just need to imerge
a[len(a) / 2: ]
with
reversed(a[: len(a) / 2])
You could also play index games, for example:
>>> a = [1, 2, 3, 4, 5, 6, 7]
>>> [a[(len(a) + (~i, i)[i%2]) // 2] for i in range(len(a))]
[4, 5, 3, 6, 2, 7, 1]
>>> a = [1, 2, 3, 4, 5, 6, 7, 8]
>>> [a[(len(a) + (~i, i)[i%2]) // 2] for i in range(len(a))]
[4, 5, 3, 6, 2, 7, 1, 8]
Here's a generator that yields alternating indexes for any given provided length. It could probably be improved/shorter, but it works.
def backNforth(length):
if length == 0:
return
else:
middle = length//2
yield middle
for ind in range(1, middle + 1):
if length > (2 * ind - 1):
yield middle - ind
if length > (2 * ind):
yield middle + ind
# for testing:
if __name__ == '__main__':
r = range(9)
for _ in backNforth(len(r)):
print(r[_])
Using that, you can just do this to produce a list of items in the order you want:
a = [1, 2, 3, 4, 5, 6, 7]
a_prime = [a[_] for _ in backNforth(len(a))]
In addition to the middle elements, I needed their index as well. I found Wasowski's answer very helpful, and modified it:
def iter_from_middle(lst):
index = len(lst)//2
for i in range(len(lst)):
index = index+i*(-1)**i
yield index, lst[index]
>>> my_list = [10, 11, 12, 13, 14, 15]
>>> [(index, item) for index, item in iter_from_middle(my_list)]
[(3, 13), (2, 12), (4, 14), (1, 11), (5, 15), (0, 10)]

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