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You are a Python software engineer using GitHub Copilot and notice its suggestions are highly relevant to your current code. You're curious about how Copilot gathers context for these suggestions, specifically what information it uses and how far back it looks in your code or project. Which of the following best explains how Copilot gathers context for code suggestions?