Understand what the interviewer is asking for by using test cases and questions about the problem.
ecosystem_data
consisting of digits and lowercase English letters.Plan the solution with appropriate visualizations and pseudocode.
General Idea: Replace non-digit characters with spaces, split the resulting string by spaces, and count the unique species counts.
1) Iterate through `ecosystem_data` and replace non-digit characters with spaces.
2) Split the modified string by spaces to extract species counts.
3) Convert the species counts to integers and store them in a set.
4) Return the size of the set.
⚠️ Common Mistakes
def count_unique_species(ecosystem_data):
# Replace all non-digit characters with spaces
modified_data = []
for char in ecosystem_data:
if char.isdigit():
modified_data.append(char)
else:
modified_data.append(' ')
modified_data = ''.join(modified_data)
# Split the resulting string by spaces to get all species counts
counts = modified_data.split()
# Convert counts to integers to remove leading zeros and get unique counts
unique_counts = set()
for count in counts:
if count: # Ensure the count is not an empty string
unique_counts.add(int(count))
# Return the number of unique counts
return len(unique_counts)