- Q1:
The goal of this exercise is to convert a string to a new string where each character in the new string is ‘(’ if that character appears only once in the original string, or ‘)’ if that character appears more than once in the original string. Ignore capitalization when determining if a character is a duplicate.
Examples:
"din" => "((("
"recede" => "()()()"
"Success" => ")())())"
"(( @" => "))(("
A1:
def duplicate_encode(word): return "".join(["(" if word.lower().count(c) == 1 else ")" for c in word.lower()])
- Q2:
Write a function called validParentheses that takes a string of parentheses, and determines if the order of the parentheses is valid. validParentheses should return true if the string is valid, and false if it’s invalid.
Examples:
validParentheses( "()" ) => returns true
validParentheses( ")(()))" ) => returns false
validParentheses( "(" ) => returns false
validParentheses( "(())((()())())" ) => returns true
All input strings will be nonempty, and will only consist of open parentheses ‘(’ and/or closed parentheses ‘)’
my answer
def valid_parentheses(string): if string.count('(') != string.count(')'): return False l = [] for i in string: if i == '(': l.append('(') elif i == ')': if len(l) == 0: return False if l.pop() != '(': return False return len(l) == 0best answer
def valid_parentheses(string): cnt = 0 for char in string: if char == '(': cnt += 1 if char == ')': cnt -= 1 if cnt < 0: return False return True if cnt == 0 else False
- Q3 . Sum of Pairs
Given a list of integers and a single sum value, return the first two values (parse from the left please) in order of appearance that add up to form the sum.
sum_pairs([11, 3, 7, 5], 10)
# ^--^ 3 + 7 = 10
== [3, 7]
sum_pairs([4, 3, 2, 3, 4], 6)
# ^-----^ 4 + 2 = 6, indices: 0, 2 *
# ^-----^ 3 + 3 = 6, indices: 1, 3
# ^-----^ 2 + 4 = 6, indices: 2, 4
# * entire pair is earlier, and therefore is the correct answer
== [4, 2]
sum_pairs([0, 0, -2, 3], 2)
# there are no pairs of values that can be added to produce 2.
== None/nil/undefined (Based on the language)
sum_pairs([10, 5, 2, 3, 7, 5], 10)
# ^-----------^ 5 + 5 = 10, indices: 1, 5
# ^--^ 3 + 7 = 10, indices: 3, 4 *
# * entire pair is earlier, and therefore is the correct answer
== [3, 7]
Negative numbers and duplicate numbers can and will appear.
NOTE: There will also be lists tested of lengths upwards of 10,000,000 elements. Be sure your code doesn’t time out.
best answer *
def sum_pairs(lst, s): cache = set() for i in lst: if s - i in cache: return [s - i, i] cache.add(i)my answer
# time out def sum_pairs(ints, s): right = [] tmp = len(ints) + 1 for i, p in enumerate(ints): for j, q in enumerate(ints[i+1:]): if i > tmp: break if p + q == s: if not right: right.extend([p,q]) tmp = j + i elif j + i< tmp: (right[0],right[1]) = (p,q) tmp = j + i return right if right else None
本文探讨了三个有趣的字符串操作问题:字符重复编码、验证括号有效性和寻找整数对求和。通过具体的例子展示了如何使用Python来解决这些挑战,并提供了两种不同的解决方案进行比较。
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