chore: SETUP.md + 测试报告脚本 + 文档更新

- SETUP.md: 完整环境搭建指南（同事用）
- SETUP_QUICK.md: 快速搭环境（4步）
- s22~s26: TNA端到端、覆盖率报告、回归检查
- procedure_grammar.lark: 实验性Lark语法

Co-Authored-By: Claude <noreply@anthropic.com>

test-data/s26_regression_check.py

@@ -0,0 +1,47 @@
+"""Quick test all 43 programs for regressions from the subscript fix"""
+import sys, os, re
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
+
+ROOT = "D:/cobol-java/cobol-test-programs/"
+COPYBOOKS = os.path.join(ROOT, "common/copybooks")
+TNA = "D:/cobol-java/cobol-tna-system/"
+from cobol_testgen import extract_structure, generate_data
+
+total_br = 0; total_cov = 0; errors = []; below = []
+
+for d in sorted(os.listdir(ROOT)):
+    dp = os.path.join(ROOT, d)
+    if not os.path.isdir(dp) or d in ('common','docs','cross-cutting'): continue
+    cbls = [f for f in os.listdir(dp) if f.endswith('.cbl') and f.startswith('main')]
+    if not cbls: cbls = [f for f in os.listdir(dp) if f.endswith('.cbl')]
+    fpath = os.path.join(dp, sorted(cbls, key=lambda f: -os.path.getsize(os.path.join(dp,f)))[0])
+    try:
+        src = open(fpath, encoding='utf-8').read()
+        st = extract_structure(src)
+        generate_data(src, st, copybook_dirs=[COPYBOOKS])
+        cov = st.get('coverage', {})
+        t = cov.get('total', 0); c = cov.get('covered', 0)
+        total_br += t; total_cov += c
+        if t > 0 and c < t: below.append((d, c, t))
+    except Exception as e: errors.append((d, str(e)[:60]))
+
+for f in ['ZAN01CHK','ZAN02CHK','ZAN03CHK','ZAN04MAT','ZAN05CAL','ZAN06UPD']:
+    fpath = os.path.join(TNA, 'src', f + '.cbl')
+    if not os.path.exists(fpath): continue
+    try:
+        src = open(fpath, encoding='utf-8-sig').read()
+        st = extract_structure(src)
+        generate_data(src, st, copybook_dirs=[os.path.join(TNA, 'cpy')])
+        cov = st.get('coverage', {})
+        t = cov.get('total', 0); c = cov.get('covered', 0)
+        total_br += t; total_cov += c
+        if t > 0 and c < t: below.append((f, c, t))
+    except Exception as e: errors.append((f, str(e)[:60]))
+
+print(f"Total: {total_cov}/{total_br} = {total_cov/max(total_br,1)*100:.2f}%")
+if errors:
+    for e in errors: print(f"  ERROR: {e[0]}: {e[1]}")
+if below:
+    for b in below: print(f"  <100%: {b[0]}: {b[1]}/{b[2]}")
+if not errors and not below:
+    print("✅ ALL 43/43 AT 100% — NO REGRESSIONS")