Asked in: Siemens
Image of the Question
All Testcases Passed ✔
Solution
def performance(symbols):
# Write your code here
h = {}
print(symbols)
// ... rest of solution available after purchaseExplanation
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To approach this problem, begin by clearly understanding the given symbols and their precedence hierarchy. The problem describes a set of success symbols: A, B, C, D, E, and F, with the precedence order defined as A > B > C > D > E > F. This means A is the highest success indicator, while F is the lowest.
The input consists of a sequence of these symbols representing the success levels of individuals in a class. The goal is to determine an overall success rating or output for the class based on the sequence of symbols and their precedence.
Step 1: Analyze the nature of the input sequence
- The input is a string of characters, each representing the success level of an individual.
- The sequence could have multiple occurrences of each symbol.
- Symbols appear in no guaranteed sorted order.
- The output needs to represent the collective success of the class considering the precedence of these symbols.
Step 2: Understand the meaning of “ambiguity” in output
- The problem mentions ambiguity when the sequence does not lead to a clear overall success outcome.
- This can happen when multiple symbols with different precedence levels appear in such a way that the final rating isn't straightforward.
- For example, the presence of multiple symbols with high and low precedence could create conflicts or ties in determining the final success symbol.
Step 3: Consider how precedence affects the final output
- The precedence indicates a ranking or priority order. Higher precedence symbols (like A) dominate over lower ones (like F).
- The class's overall success could be interpreted as the highest precedence symbol present in the sequence, representing the best success achieved.
- Alternatively, there could be additional rules for combining symbols or resolving conflicts when multiple symbols appear.
Step 4: Explore possible rules for determining output
- One simple approach is to pick the symbol with the highest precedence found in the input sequence. For example, if the sequence contains A, B, and D, the output should be A.
- Another approach could be to count the frequency of each symbol and consider the symbol with the highest count or the weighted contribution.
- In cases where there is a tie or ambiguity, the precedence order could guide how to resolve it—preferring higher precedence symbols or applying some pattern matching.
Step 5: Handling ambiguity explicitly
- If the output is ambiguous, the assessment robot might use additional logic to resolve the tie or uncertainty.
- For example, it may consider sequences of symbols that cluster together, or look at runs of the same symbol and choose the highest precedence in the longest cluster.
- Another option is to examine adjacent symbols or transitions to detect patterns that clarify the output.
Step 6: Implement comparison and decision mechanism
- Implement a way to iterate through the sequence and track occurrences and positions of symbols.
- Maintain counters or data structures to record how often each symbol appears.
- Use the predefined precedence hierarchy to compare symbols whenever a decision is needed.
- Apply tie-breaking logic as needed, based on the problem’s rules or the robot’s observation criteria.
Step 7: Testing with examples
- Consider the example input "AAABBCDDEFF": Count the occurrences, note that A appears first and most frequently, then B, etc. The output should reflect the dominance of A.
- For ambiguous inputs like "AAABCCCDDEE", notice the clusters of C and D and think about how to use precedence to resolve the final output.
- Test edge cases like sequences with only one symbol type, sequences with equally frequent high and low precedence symbols, and long sequences with mixed symbols.
Step 8: Reflect on output formatting
- The problem states that the final output is shown in green; while this is a display feature, internally ensure your output is clear and consistent.
- If the output requires a single symbol or a summary string, prepare accordingly.
Step 9: Performance considerations
- For very long sequences, ensure your solution efficiently counts and compares symbols.
- Use data structures like hash maps or arrays indexed by symbol values for quick lookups.
- Avoid unnecessary repeated comparisons by precomputing frequencies.
In summary, focus on:
- Understanding the precedence order of symbols.
- Processing the input sequence to extract frequency and positional information.
- Using precedence rules to decide the overall success symbol.
- Handling ambiguous cases with additional logic to resolve ties.
- Testing thoroughly with a variety of inputs to validate the approach.
This structured thinking will lead you to a solution that accurately determines the class’s success based on the given symbol sequences and their precedence.
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