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To optimize the given Python program, the following modifications are applied.
1. **Avoid Repeated Subprocess Calls**.
The program repeatedly calls the `get_log` to get logs, which is not efficient. Instead, we can avoid multiple calls by reusing the results.
2. **Combine try-except with check_call**.
For adding the "upstream" remote, combine the exception handling with conditional logic to reduce redundancy.
The refactored version of the program is presented below.
### Explanation of Changes.
1. **Avoid Redundant Computations**: The `ref_args` and `n_args` lists are computed in a more compact and direct way.
2. **Use `days` Argument for Timedelta**: Instead of `365 * 2`, I used the `days` argument for better readability and replaced `datetime.timedelta(365 * 2)` with `datetime.timedelta(days=365 * 2)`.
3. **Reuse Result of `get_log`**: The result of `get_log` for `%H` and `%cI` is computed once and reused where needed, eliminating redundant computation.
4. **Combine `try-except` and Check Conditions**: Combined the handling of adding the “upstream” remote in a single block, only catching exceptions when necessary.
These modifications result in a code that runs more efficiently and is easier to read and maintain.
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