How many ways to place n DNA chains
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The problem is to find how many complete structures can be formed using the DNA chains. The rule is that the first letter of the new part has to be the same as the last letter of the previous chain.
On the first row you are given an integer: the number of chains. On the next n rows are strings: the chains.
Example:
5
ACGA
ACGA
ACAC
CCCC
CTAC
Output:
4
I tried a recursive backtracking solution, but I am sometimes getting wrong answers. I can't seem to figure out what is wrong.
ans = 0
used = {}
def place(howmanyplaced, allowedletter):
global ans
if howmanyplaced == num:
ans += 1
return ans
for i in range(0, len(mylist)):
if mylist[i][0] == allowedletter and used[i] == False:
allowedletter = mylist[i][-1]
used[i] = True
place(howmanyplaced+1, allowedletter)
used[i] = False
num = int(input())
mylist =
for l in range(0, num):
i = input()
used[l] = False
mylist.append(i)
for k in range(0, len(mylist)):
used[k] = True
place(1, mylist[k][-1])
used[k] = False
print(ans)
python recursion backtracking
add a comment |
The problem is to find how many complete structures can be formed using the DNA chains. The rule is that the first letter of the new part has to be the same as the last letter of the previous chain.
On the first row you are given an integer: the number of chains. On the next n rows are strings: the chains.
Example:
5
ACGA
ACGA
ACAC
CCCC
CTAC
Output:
4
I tried a recursive backtracking solution, but I am sometimes getting wrong answers. I can't seem to figure out what is wrong.
ans = 0
used = {}
def place(howmanyplaced, allowedletter):
global ans
if howmanyplaced == num:
ans += 1
return ans
for i in range(0, len(mylist)):
if mylist[i][0] == allowedletter and used[i] == False:
allowedletter = mylist[i][-1]
used[i] = True
place(howmanyplaced+1, allowedletter)
used[i] = False
num = int(input())
mylist =
for l in range(0, num):
i = input()
used[l] = False
mylist.append(i)
for k in range(0, len(mylist)):
used[k] = True
place(1, mylist[k][-1])
used[k] = False
print(ans)
python recursion backtracking
2
Meaning sometimes with the same input? Or with different inputs? If different then provide the input and expected output as well as what you get. Otherwise is the code properly indented since it doesn’t look like it
– Sami Kuhmonen
Jan 3 at 12:11
Same input allowed. I re-intended the code-
– Quiti
Jan 3 at 12:20
Can you use numpy in your application?
– dubbbdan
Jan 3 at 18:51
add a comment |
The problem is to find how many complete structures can be formed using the DNA chains. The rule is that the first letter of the new part has to be the same as the last letter of the previous chain.
On the first row you are given an integer: the number of chains. On the next n rows are strings: the chains.
Example:
5
ACGA
ACGA
ACAC
CCCC
CTAC
Output:
4
I tried a recursive backtracking solution, but I am sometimes getting wrong answers. I can't seem to figure out what is wrong.
ans = 0
used = {}
def place(howmanyplaced, allowedletter):
global ans
if howmanyplaced == num:
ans += 1
return ans
for i in range(0, len(mylist)):
if mylist[i][0] == allowedletter and used[i] == False:
allowedletter = mylist[i][-1]
used[i] = True
place(howmanyplaced+1, allowedletter)
used[i] = False
num = int(input())
mylist =
for l in range(0, num):
i = input()
used[l] = False
mylist.append(i)
for k in range(0, len(mylist)):
used[k] = True
place(1, mylist[k][-1])
used[k] = False
print(ans)
python recursion backtracking
The problem is to find how many complete structures can be formed using the DNA chains. The rule is that the first letter of the new part has to be the same as the last letter of the previous chain.
On the first row you are given an integer: the number of chains. On the next n rows are strings: the chains.
Example:
5
ACGA
ACGA
ACAC
CCCC
CTAC
Output:
4
I tried a recursive backtracking solution, but I am sometimes getting wrong answers. I can't seem to figure out what is wrong.
ans = 0
used = {}
def place(howmanyplaced, allowedletter):
global ans
if howmanyplaced == num:
ans += 1
return ans
for i in range(0, len(mylist)):
if mylist[i][0] == allowedletter and used[i] == False:
allowedletter = mylist[i][-1]
used[i] = True
place(howmanyplaced+1, allowedletter)
used[i] = False
num = int(input())
mylist =
for l in range(0, num):
i = input()
used[l] = False
mylist.append(i)
for k in range(0, len(mylist)):
used[k] = True
place(1, mylist[k][-1])
used[k] = False
print(ans)
python recursion backtracking
python recursion backtracking
edited Jan 3 at 12:22
Quiti
asked Jan 3 at 12:07
QuitiQuiti
777
777
2
Meaning sometimes with the same input? Or with different inputs? If different then provide the input and expected output as well as what you get. Otherwise is the code properly indented since it doesn’t look like it
– Sami Kuhmonen
Jan 3 at 12:11
Same input allowed. I re-intended the code-
– Quiti
Jan 3 at 12:20
Can you use numpy in your application?
– dubbbdan
Jan 3 at 18:51
add a comment |
2
Meaning sometimes with the same input? Or with different inputs? If different then provide the input and expected output as well as what you get. Otherwise is the code properly indented since it doesn’t look like it
– Sami Kuhmonen
Jan 3 at 12:11
Same input allowed. I re-intended the code-
– Quiti
Jan 3 at 12:20
Can you use numpy in your application?
– dubbbdan
Jan 3 at 18:51
2
2
Meaning sometimes with the same input? Or with different inputs? If different then provide the input and expected output as well as what you get. Otherwise is the code properly indented since it doesn’t look like it
– Sami Kuhmonen
Jan 3 at 12:11
Meaning sometimes with the same input? Or with different inputs? If different then provide the input and expected output as well as what you get. Otherwise is the code properly indented since it doesn’t look like it
– Sami Kuhmonen
Jan 3 at 12:11
Same input allowed. I re-intended the code-
– Quiti
Jan 3 at 12:20
Same input allowed. I re-intended the code-
– Quiti
Jan 3 at 12:20
Can you use numpy in your application?
– dubbbdan
Jan 3 at 18:51
Can you use numpy in your application?
– dubbbdan
Jan 3 at 18:51
add a comment |
2 Answers
2
active
oldest
votes
My major concern with your code is how allowedletter
is modified in this loop:
if mylist[i][0] == allowedletter and used[i] == False:
allowedletter = mylist[i][-1]
used[i] = True
place(howmanyplaced+1, allowedletter)
Since you're chaining sequences via recursion, not iteration, allowedletter
should not be modified during this loop. Use a different variable. Below is my rework of your program fixing this issue and rethinking the code style:
def place(how_many_placed=0, allowed_letter=None):
if how_many_placed == number:
return 1
answer = 0
for i, sequence in enumerate(sequences):
if not used[i] and (allowed_letter is None or sequence[0] == allowed_letter):
used[i] = True
answer += place(how_many_placed + 1, sequence[-1])
used[i] = False
return answer
number = int(input())
sequences =
used =
for _ in range(number):
sequences.append(input())
used.append(False)
print(place())
See if this works any better for you.
Great answer, thanks. One last question: why is it wrong to edit allowedletter inside the recursion?
– Quiti
Jan 4 at 10:47
@Quiti, you were usingallowedletter
in theif
statement to determine which sequences were suitable, but then also used it in the body as a temporary to hold the last character of the chosen sequence. By the time theif
comes around again, we're testing for a different letter! In an iterative approach we'd do this at some level as we chained sequeces together. But in your recursive approach, we want to continue filtering on the same letter as before as the recursion will deal with the next link in our chain.
– cdlane
Jan 4 at 17:51
add a comment |
If you can use numpy, here is a vectorized solution. np.roll
shifts the list so you can compare the first letter of the next element to the last letter of the previous row.
import numpy as np
l = ['ACGA', 'ACGA', 'ACAC', 'CCCC', 'CTAC']
a = np.array(l)
last_letter= np.roll(a,1)[1:].view('<U1')[::len(a[-1])]
first_letter = a.view('<U1')[::len(a[0])][:-1]
sum(last_letter==first_letter)
#returns 4
add a comment |
Your Answer
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
My major concern with your code is how allowedletter
is modified in this loop:
if mylist[i][0] == allowedletter and used[i] == False:
allowedletter = mylist[i][-1]
used[i] = True
place(howmanyplaced+1, allowedletter)
Since you're chaining sequences via recursion, not iteration, allowedletter
should not be modified during this loop. Use a different variable. Below is my rework of your program fixing this issue and rethinking the code style:
def place(how_many_placed=0, allowed_letter=None):
if how_many_placed == number:
return 1
answer = 0
for i, sequence in enumerate(sequences):
if not used[i] and (allowed_letter is None or sequence[0] == allowed_letter):
used[i] = True
answer += place(how_many_placed + 1, sequence[-1])
used[i] = False
return answer
number = int(input())
sequences =
used =
for _ in range(number):
sequences.append(input())
used.append(False)
print(place())
See if this works any better for you.
Great answer, thanks. One last question: why is it wrong to edit allowedletter inside the recursion?
– Quiti
Jan 4 at 10:47
@Quiti, you were usingallowedletter
in theif
statement to determine which sequences were suitable, but then also used it in the body as a temporary to hold the last character of the chosen sequence. By the time theif
comes around again, we're testing for a different letter! In an iterative approach we'd do this at some level as we chained sequeces together. But in your recursive approach, we want to continue filtering on the same letter as before as the recursion will deal with the next link in our chain.
– cdlane
Jan 4 at 17:51
add a comment |
My major concern with your code is how allowedletter
is modified in this loop:
if mylist[i][0] == allowedletter and used[i] == False:
allowedletter = mylist[i][-1]
used[i] = True
place(howmanyplaced+1, allowedletter)
Since you're chaining sequences via recursion, not iteration, allowedletter
should not be modified during this loop. Use a different variable. Below is my rework of your program fixing this issue and rethinking the code style:
def place(how_many_placed=0, allowed_letter=None):
if how_many_placed == number:
return 1
answer = 0
for i, sequence in enumerate(sequences):
if not used[i] and (allowed_letter is None or sequence[0] == allowed_letter):
used[i] = True
answer += place(how_many_placed + 1, sequence[-1])
used[i] = False
return answer
number = int(input())
sequences =
used =
for _ in range(number):
sequences.append(input())
used.append(False)
print(place())
See if this works any better for you.
Great answer, thanks. One last question: why is it wrong to edit allowedletter inside the recursion?
– Quiti
Jan 4 at 10:47
@Quiti, you were usingallowedletter
in theif
statement to determine which sequences were suitable, but then also used it in the body as a temporary to hold the last character of the chosen sequence. By the time theif
comes around again, we're testing for a different letter! In an iterative approach we'd do this at some level as we chained sequeces together. But in your recursive approach, we want to continue filtering on the same letter as before as the recursion will deal with the next link in our chain.
– cdlane
Jan 4 at 17:51
add a comment |
My major concern with your code is how allowedletter
is modified in this loop:
if mylist[i][0] == allowedletter and used[i] == False:
allowedletter = mylist[i][-1]
used[i] = True
place(howmanyplaced+1, allowedletter)
Since you're chaining sequences via recursion, not iteration, allowedletter
should not be modified during this loop. Use a different variable. Below is my rework of your program fixing this issue and rethinking the code style:
def place(how_many_placed=0, allowed_letter=None):
if how_many_placed == number:
return 1
answer = 0
for i, sequence in enumerate(sequences):
if not used[i] and (allowed_letter is None or sequence[0] == allowed_letter):
used[i] = True
answer += place(how_many_placed + 1, sequence[-1])
used[i] = False
return answer
number = int(input())
sequences =
used =
for _ in range(number):
sequences.append(input())
used.append(False)
print(place())
See if this works any better for you.
My major concern with your code is how allowedletter
is modified in this loop:
if mylist[i][0] == allowedletter and used[i] == False:
allowedletter = mylist[i][-1]
used[i] = True
place(howmanyplaced+1, allowedletter)
Since you're chaining sequences via recursion, not iteration, allowedletter
should not be modified during this loop. Use a different variable. Below is my rework of your program fixing this issue and rethinking the code style:
def place(how_many_placed=0, allowed_letter=None):
if how_many_placed == number:
return 1
answer = 0
for i, sequence in enumerate(sequences):
if not used[i] and (allowed_letter is None or sequence[0] == allowed_letter):
used[i] = True
answer += place(how_many_placed + 1, sequence[-1])
used[i] = False
return answer
number = int(input())
sequences =
used =
for _ in range(number):
sequences.append(input())
used.append(False)
print(place())
See if this works any better for you.
edited Jan 3 at 18:38
answered Jan 3 at 18:13
cdlanecdlane
19.9k21245
19.9k21245
Great answer, thanks. One last question: why is it wrong to edit allowedletter inside the recursion?
– Quiti
Jan 4 at 10:47
@Quiti, you were usingallowedletter
in theif
statement to determine which sequences were suitable, but then also used it in the body as a temporary to hold the last character of the chosen sequence. By the time theif
comes around again, we're testing for a different letter! In an iterative approach we'd do this at some level as we chained sequeces together. But in your recursive approach, we want to continue filtering on the same letter as before as the recursion will deal with the next link in our chain.
– cdlane
Jan 4 at 17:51
add a comment |
Great answer, thanks. One last question: why is it wrong to edit allowedletter inside the recursion?
– Quiti
Jan 4 at 10:47
@Quiti, you were usingallowedletter
in theif
statement to determine which sequences were suitable, but then also used it in the body as a temporary to hold the last character of the chosen sequence. By the time theif
comes around again, we're testing for a different letter! In an iterative approach we'd do this at some level as we chained sequeces together. But in your recursive approach, we want to continue filtering on the same letter as before as the recursion will deal with the next link in our chain.
– cdlane
Jan 4 at 17:51
Great answer, thanks. One last question: why is it wrong to edit allowedletter inside the recursion?
– Quiti
Jan 4 at 10:47
Great answer, thanks. One last question: why is it wrong to edit allowedletter inside the recursion?
– Quiti
Jan 4 at 10:47
@Quiti, you were using
allowedletter
in the if
statement to determine which sequences were suitable, but then also used it in the body as a temporary to hold the last character of the chosen sequence. By the time the if
comes around again, we're testing for a different letter! In an iterative approach we'd do this at some level as we chained sequeces together. But in your recursive approach, we want to continue filtering on the same letter as before as the recursion will deal with the next link in our chain.– cdlane
Jan 4 at 17:51
@Quiti, you were using
allowedletter
in the if
statement to determine which sequences were suitable, but then also used it in the body as a temporary to hold the last character of the chosen sequence. By the time the if
comes around again, we're testing for a different letter! In an iterative approach we'd do this at some level as we chained sequeces together. But in your recursive approach, we want to continue filtering on the same letter as before as the recursion will deal with the next link in our chain.– cdlane
Jan 4 at 17:51
add a comment |
If you can use numpy, here is a vectorized solution. np.roll
shifts the list so you can compare the first letter of the next element to the last letter of the previous row.
import numpy as np
l = ['ACGA', 'ACGA', 'ACAC', 'CCCC', 'CTAC']
a = np.array(l)
last_letter= np.roll(a,1)[1:].view('<U1')[::len(a[-1])]
first_letter = a.view('<U1')[::len(a[0])][:-1]
sum(last_letter==first_letter)
#returns 4
add a comment |
If you can use numpy, here is a vectorized solution. np.roll
shifts the list so you can compare the first letter of the next element to the last letter of the previous row.
import numpy as np
l = ['ACGA', 'ACGA', 'ACAC', 'CCCC', 'CTAC']
a = np.array(l)
last_letter= np.roll(a,1)[1:].view('<U1')[::len(a[-1])]
first_letter = a.view('<U1')[::len(a[0])][:-1]
sum(last_letter==first_letter)
#returns 4
add a comment |
If you can use numpy, here is a vectorized solution. np.roll
shifts the list so you can compare the first letter of the next element to the last letter of the previous row.
import numpy as np
l = ['ACGA', 'ACGA', 'ACAC', 'CCCC', 'CTAC']
a = np.array(l)
last_letter= np.roll(a,1)[1:].view('<U1')[::len(a[-1])]
first_letter = a.view('<U1')[::len(a[0])][:-1]
sum(last_letter==first_letter)
#returns 4
If you can use numpy, here is a vectorized solution. np.roll
shifts the list so you can compare the first letter of the next element to the last letter of the previous row.
import numpy as np
l = ['ACGA', 'ACGA', 'ACAC', 'CCCC', 'CTAC']
a = np.array(l)
last_letter= np.roll(a,1)[1:].view('<U1')[::len(a[-1])]
first_letter = a.view('<U1')[::len(a[0])][:-1]
sum(last_letter==first_letter)
#returns 4
answered Jan 3 at 20:16


dubbbdandubbbdan
974922
974922
add a comment |
add a comment |
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2
Meaning sometimes with the same input? Or with different inputs? If different then provide the input and expected output as well as what you get. Otherwise is the code properly indented since it doesn’t look like it
– Sami Kuhmonen
Jan 3 at 12:11
Same input allowed. I re-intended the code-
– Quiti
Jan 3 at 12:20
Can you use numpy in your application?
– dubbbdan
Jan 3 at 18:51