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London | 25-SDC-July | Mikiyas Gebremichael | Sprint 2 | Improve code with precomputing #38
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47c73ec
common prefix using precomputing
Mikiyas-STP 227994c
none changed
Mikiyas-STP d23ef90
count letters using precomputing
Mikiyas-STP 78e64e5
Fix: longest common prefix logic to ignore empty strings
Mikiyas-STP ac294de
Replace Counter with set in count_letters for efficiency and update c…
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38 changes: 15 additions & 23 deletions
38
Sprint-2/improve_with_precomputing/common_prefix/common_prefix.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,24 +1,16 @@ | ||
| from typing import List | ||
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| def find_longest_common_prefix(strings: List[str]): | ||
| """ | ||
| find_longest_common_prefix returns the longest string common at the start of any two strings in the passed list. | ||
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| In the event that an empty list, a list containing one string, or a list of strings with no common prefixes is passed, the empty string will be returned. | ||
| """ | ||
| longest = "" | ||
| for string_index, string in enumerate(strings): | ||
| for other_string in strings[string_index+1:]: | ||
| common = find_common_prefix(string, other_string) | ||
| if len(common) > len(longest): | ||
| longest = common | ||
| return longest | ||
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| def find_common_prefix(left: str, right: str) -> str: | ||
| min_length = min(len(left), len(right)) | ||
| for i in range(min_length): | ||
| if left[i] != right[i]: | ||
| return left[:i] | ||
| return left[:min_length] | ||
| def find_longest_common_prefix(strings: List[str]) -> str: | ||
| if len(strings) < 2: | ||
| return "" | ||
| #Find shortest string limit for prefix | ||
| min_len = min(len(s) for s in strings) | ||
| if min_len == 0: | ||
| return "" | ||
| #Compare character by character across all strings | ||
| for i in range(min_len): | ||
| char_set = set(s[i] for s in strings) | ||
| if len(char_set) > 1: #mismatch found | ||
| return strings[0][:i] | ||
| return strings[0][:min_len] | ||
| #Originally Compares every pair O(n² * m) | ||
| #now compare column wise across all strings O(n * m) | ||
27 changes: 14 additions & 13 deletions
27
Sprint-2/improve_with_precomputing/count_letters/count_letters.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,14 +1,15 @@ | ||
| from collections import Counter | ||
| def count_letters(s: str) -> int: | ||
| """ | ||
| count_letters returns the number of letters which only occur in upper case in the passed string. | ||
| """ | ||
| only_upper = set() | ||
| for letter in s: | ||
| if is_upper_case(letter): | ||
| if letter.lower() not in s: | ||
| only_upper.add(letter) | ||
| return len(only_upper) | ||
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| def is_upper_case(letter: str) -> bool: | ||
| return letter == letter.upper() | ||
| #Returns the number of letters which only occur in uppercase in the passed string | ||
| letters = Counter(s) #count occurrences of each character | ||
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| only_upper = 0 | ||
| for letter in letters: | ||
| if letter.isupper(): | ||
| if letter.lower() not in letters: | ||
| only_upper += 1 | ||
| return only_upper | ||
| #The first implementation was O(n² * m) in the worst case comparing every pair of strings character by character. | ||
| # Now, | ||
| #Counter scans the string once O(n) | ||
| #Checking letter.lower() in letters O(1) per letter | ||
| #Total time O(n + u) where u is the number of unique letters | ||
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