(Anthorpic) Implement a FileDedupUtility class to identify duplicate files on a local file system based on their content.
First implement a quick setup_env helper to generate physical test files on disk so you can prove your logic works.
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Followup1:
What if the files that are significantly larger than the available RAM. What problems we will see? What concerns? Extend your solution to safely identify duplicates.
To handle this case with large files, are you trading off accuracy?

Followup2:
def find_duplicate_files_large(root_path: str, read_limit_bytes: int) -> list[list[str]]:
pass

Here we set a parameter read_limit_bytes to represent the maximum amount of memory your program is allowed to consume per file at any given time.
How would you modify your algorithm to stream and compare these files efficiently without exceeding this memory limit?

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