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Calculating Conservation Statistics
        LeWiz24 edited this page Aug 13, 2024 
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        1 revision
      
    Understand what the interviewer is asking for by using test cases and questions about the problem.
- Q
- What is the desired outcome?
- To return the number of distinct averages calculated by removing the minimum and maximum populations repeatedly.
 
- What input is provided?
- A 0-indexed integer array species_populations.
 
- A 0-indexed integer array 
 
- What is the desired outcome?
Plan the solution with appropriate visualizations and pseudocode.
General Idea: Sort the population list, then repeatedly remove the minimum and maximum values, calculate their average, and store it in a set.
1) Sort `species_populations`.
2) Initialize a set `averages` to store distinct averages.
3) While the population list is not empty:
   - Remove the minimum and maximum populations.
   - Calculate their average and add it to the set.
4) Return the size of the set.- Not handling the removal of elements from both ends of the list properly.
def distinct_averages(species_populations):
    # Sort the populations to easily find the min and max
    species_populations.sort()
    
    # Initialize a set to store distinct averages
    averages = set()
    
    while species_populations:
        # Remove the min and max populations
        min_pop = species_populations.pop(0)
        max_pop = species_populations.pop(-1)
        
        # Calculate the average
        average = (min_pop + max_pop) / 2
        
        # Add the average to the set
        averages.add(average)
    
    # Return the number of distinct averages
    return len(averages)