Docs: Update README stats and add test suite mention

- Remove documented items count and stdlib modules count from README
- Add mention of unit test suite validating claims in docs/index.md

Co-Authored-By: Amp <amp@ampcode.com>

Author: heikkitoivonen

README.md

@@ -11,10 +11,8 @@ This project provides detailed documentation of algorithmic complexity for:
 - **Alternative Implementations**: CPython, PyPy, Jython, IronPython
 
 ### Key Statistics
-- **373 documented items** with 118% coverage
 - **4 Python implementations** documented (CPython, PyPy, Jython, IronPython)
 - **6 Python versions** documented (3.9–3.14)
-- 199 stdlib modules documented
 
 ## Features
 

docs/index.md

@@ -49,7 +49,7 @@ See [Built-in Types](builtins/list.md) for detailed analysis.
 
 ## Why Trust This Documentation?
 
-This documentation has been reviewed and refined through **100+ commits** by multiple AI coding agents (Amp, Claude, Antigravity, Kiro, Copilot, Codex) working alongside human contributors. Each agent brings different perspectives and catches different issues, resulting in thorough cross-validation.
+This documentation has been reviewed and refined through **100+ commits** by multiple AI coding agents (Amp, Claude, Antigravity, Kiro, Copilot, Codex) working alongside human contributors. Each agent brings different perspectives and catches different issues, resulting in thorough cross-validation. A growing unit test suite validates complexity claims against actual Python behavior.
 
 It's also **fully open source**—anyone can review the content, [file issues](https://github.com/heikkitoivonen/python-time-space-complexity/issues), or [submit improvements](https://github.com/heikkitoivonen/python-time-space-complexity/pulls). All sources are cited, and claims are based on official Python documentation and CPython source code.