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Charlotte - Space #29
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Original file line number | Diff line number | Diff line change |
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@@ -1,20 +1,63 @@ | ||
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# This method will return an array of arrays. | ||
# Each subarray will have strings which are anagrams of each other | ||
# Time Complexity: ? | ||
# Space Complexity: ? | ||
# Time Complexity: 0(1) | ||
# Space Complexity: 0(n) | ||
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def grouped_anagrams(strings) | ||
raise NotImplementedError, "Method hasn't been implemented yet!" | ||
return [] if strings.empty? | ||
return [strings] if strings.size == 1 | ||
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hash1 = {} | ||
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# this is the original str | ||
strings.each do |str| | ||
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# this is the sorted str | ||
word = str.split("").sort.join("") | ||
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# check hash for word | ||
# if not exist, set str as hash value | ||
if hash1[word].nil? | ||
hash1[word] = [str] | ||
else | ||
# or shovel str as hash value | ||
hash1[word] << str | ||
end | ||
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end | ||
return hash1.values | ||
end | ||
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# This method will return the k most common elements | ||
# in the case of a tie it will select the first occuring element. | ||
# Time Complexity: ? | ||
# Space Complexity: ? | ||
# Time Complexity: 0(1) | ||
# Space Complexity: 0(n) | ||
def top_k_frequent_elements(list, k) | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. This is most of the solution, the only weakness is that the |
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raise NotImplementedError, "Method hasn't been implemented yet!" | ||
end | ||
return [] if list.empty? | ||
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hash1 = {} | ||
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# create hash from list where same elements(key) are tallied(value) | ||
list.each do |num| | ||
if hash1[num] | ||
hash1[num] += 1 | ||
else | ||
hash1[num] = 1 | ||
end | ||
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end | ||
# sort hash by value - descending | ||
sorted = hash1.sort_by { |key, value| value }.reverse | ||
answer = [] | ||
k.times do |index| | ||
answer << sorted[index].first | ||
end | ||
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return answer | ||
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end # closing end for top_k_frequent_elements method | ||
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# This method will return the true if the table is still | ||
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👍 , however your time complexity is off. You loop through all the strings so it's a minimum of O(n). If you assume the strings are all small then the sorting can be ignored.