Feature/multi username similarity #2
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This commit introduces a feature to identify and report emails that are
lexically similar to one or more specified usernames.
Key changes:
- The `--similar-to` command-line argument now accepts multiple
usernames (`nargs='+'`).
- Uses Levenshtein distance to determine similarity between the
local part of an email (before '@') and the provided usernames.
- Found emails are processed against each target username.
- Output (both console and file if `-o` is used) has been updated
to display similar emails grouped by the target username they
matched. Each group is clearly headed (e.g., "Emails similar to 'userX':").
- If an output file is used, similar emails are appended to the same
file, under their respective username headings, rather than creating
separate files.
- The `python-Levenshtein` library has been added to `requirements.txt`.
Adds documentation for the `--similar-to` command-line argument, including its purpose, behavior (multiple usernames, Levenshtein distance), and an example of its usage.
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