Compute dasher pay with peak-hour query

## Problem: Dasher pay calculation + peak-hour earnings You are given historical delivery records for a driver (“dasher”). Each record contains: - `start_time` and `end_time` (timestamps) - `base_pay` (non-negative integer cents) - `tip` (non-negative integer cents) - (optional) `bonus` (non-negative integer cents, may be missing) Assume total pay for a record is: \[ \text{record_pay} = \text{base_pay} + \text{tip} + \text{bonus (if present, else 0)} \] ### Part 1 Compute the dasher’s **total pay** across all records. ### Part 2 Given a **peak hour window** `[peak_start, peak_end)` (timestamps), compute the dasher’s **total pay attributable to deliveries that overlap that window**. - A delivery “overlaps” the peak window if its time interval intersects `[peak_start, peak_end)`. - If a delivery only partially overlaps the window, assume you should **pro-rate pay by overlap duration** (unless you explicitly choose a different reasonable assumption—state it clearly). ### Follow-up (data quality) If the input data can be wrong or inconsistent (e.g., missing fields, negative values, `end_time < start_time`, duplicate records, overlapping records, bad timestamps), how should your solution handle it? Describe the approach (validation, skipping, correcting, logging, etc.). ### Input/Output expectations - Input: an array/list of delivery records and (for Part 2) a peak time window. - Output: numeric totals (e.g., in cents). - Constraints: up to millions of records; aim for an efficient single-pass solution when possible.