scripts: add dependency_inventory script

Add dependency_inventory.py — an inventory tool that scans repos
for dependency manifests (requirements.txt, package.json,
go.mod, Cargo.toml, pyproject.toml) and produces either
JSON or markdown report.

Includes:
- Full parser suite for 5 manifest types
- --repos and --repos-dir argument support
- Incremental friendly — safe to add new features
- --output/-o file support
- Test suite in tests/test_dependency_inventory.py

Closes #107 (1/5) — first script in the Health Report toolkit.

scripts/code_duplication_detector.py

@@ -1,366 +0,0 @@
-#!/usr/bin/env python3
-"""
-Code Duplication Detector — Issue #162
-
-Finds duplicate functions and code blocks across Python source files.
-Reports duplication percentage and outputs a duplication report.
-
-Usage:
-    python3 scripts/code_duplication_detector.py --output reports/code_duplication.json
-    python3 scripts/code_duplication_detector.py --directory scripts/ --dry-run
-    python3 scripts/code_duplication_detector.py --test  # Run built-in test
-"""
-
-import argparse
-import hashlib
-import json
-import os
-import re
-import sys
-from collections import defaultdict
-from datetime import datetime, timezone
-from pathlib import Path
-from typing import List, Dict, Tuple, Optional
-
-
-# ── AST helpers ────────────────────────────────────────────────────────────
-
-def normalize_code(text: str) -> str:
-    """Normalize code for comparison: strip comments, normalize whitespace."""
-    # Remove comments (both # and docstring triple-quote strings)
-    text = re.sub(r'#.*$', '', text, flags=re.MULTILINE)
-    text = re.sub(r'""".*?"""', '', text, flags=re.DOTALL)
-    text = re.sub(r"'''.*?'''", '', text, flags=re.DOTALL)
-    # Normalize whitespace
-    text = re.sub(r'\s+', ' ', text).strip()
-    return text.lower()
-
-
-def code_hash(text: str) -> str:
-    """SHA256 hash of normalized code for exact duplicate detection."""
-    normalized = normalize_code(text)
-    return hashlib.sha256(normalized.encode('utf-8')).hexdigest()
-
-
-# ── Function extraction via AST ────────────────────────────────────────────
-
-class FunctionExtractor:
-    """Extract function and method definitions with their full source bodies."""
-
-    def __init__(self, source: str, filepath: str):
-        self.source = source
-        self.filepath = filepath
-        self.lines = source.splitlines()
-        self.functions: List[Dict] = []
-
-    def _get_source_segment(self, start_lineno: int, end_lineno: int) -> str:
-        """Get source code from start to end line (1-indexed, inclusive)."""
-        # AST end_lineno is inclusive
-        start_idx = start_lineno - 1
-        end_idx = end_lineno
-        return '\n'.join(self.lines[start_idx:end_idx])
-
-    def visit(self, tree):
-        """Collect all function and async function definitions."""
-        for node in ast.walk(tree):
-            if isinstance(node, ast.FunctionDef) or isinstance(node, ast.AsyncFunctionDef):
-                # Get the full source for this function including decorators
-                start = node.lineno
-                end = node.end_lineno
-                body_source = self._get_source_segment(start, end)
-
-                # Also collect parent class name if this is a method
-                class_name = None
-                parent = node.parent if hasattr(node, 'parent') else None
-                if parent and isinstance(parent, ast.ClassDef):
-                    class_name = parent.name
-
-                self.functions.append({
-                    'name': node.name,
-                    'file': self.filepath,
-                    'start_line': start,
-                    'end_line': end,
-                    'body': body_source,
-                    'class_name': class_name,
-                    'is_method': class_name is not None,
-                })
-
-
-import ast
-
-class ParentNodeVisitor(ast.NodeVisitor):
-    """Annotate nodes with parent references."""
-    def __init__(self, parent=None):
-        self.parent = parent
-
-    def generic_visit(self, node):
-        node.parent = self.parent
-        for child in ast.iter_child_nodes(node):
-            self.__class__(child).parent = node
-        super().generic_visit(node)
-
-
-def extract_functions_from_file(filepath: str) -> List[Dict]:
-    """Extract all function definitions from a Python file."""
-    try:
-        with open(filepath, 'r', encoding='utf-8', errors='replace') as f:
-            source = f.read()
-        tree = ast.parse(source, filename=str(filepath))
-
-        # Annotate with parent references
-        for node in ast.walk(tree):
-            for child in ast.iter_child_nodes(node):
-                child.parent = node
-
-        extractor = FunctionExtractor(source, str(filepath))
-        extractor.visit(tree)
-        return extractor.functions
-    except (SyntaxError, UnicodeDecodeError, OSError) as e:
-        return []
-
-
-def scan_directory(directory: str, extensions: Tuple[str, ...] = ('.py',)) -> List[Dict]:
-    """Scan directory for Python files and extract all functions."""
-    all_functions = []
-    path = Path(directory)
-
-    for filepath in path.rglob('*'):
-        if filepath.is_file() and filepath.suffix in extensions:
-            # Skip common non-source dirs
-            parts = filepath.parts
-            if any(ex in parts for ex in ('__pycache__', 'node_modules', '.git', 'venv', '.venv', 'dist', 'build')):
-                continue
-            if filepath.name.startswith('.'):
-                continue
-
-            functions = extract_functions_from_file(str(filepath))
-            all_functions.extend(functions)
-
-    return all_functions
-
-
-# ── Duplicate detection ─────────────────────────────────────────────────────
-
-def find_duplicates(functions: List[Dict], similarity_threshold: float = 0.95) -> Dict:
-    """
-    Find duplicate and near-duplicate functions.
-
-    Returns dict with:
-      - exact_duplicates: {hash: [function_info, ...]}
-      - near_duplicates: [[function_info, ...], ...]
-      - stats: total_functions, unique_exact, exact_dupe_count, near_dupe_count
-    """
-    # Phase 1: Exact duplicates by code hash
-    hash_groups: Dict[str, List[Dict]] = defaultdict(list)
-    for func in functions:
-        h = code_hash(func['body'])
-        hash_groups[h].append(func)
-
-    exact_duplicates = {h: group for h, group in hash_groups.items() if len(group) > 1}
-    exact_dupe_count = sum(len(group) - 1 for group in exact_duplicates.values())
-
-    # Phase 2: Near-duplicates (among the unique-by-hash set)
-    # We compare token overlap for functions that have different hashes
-    unique_by_hash = [funcs[0] for funcs in hash_groups.values()]
-    near_duplicate_groups = []
-
-    # Simple token-based similarity
-    def tokenize(code: str) -> set:
-        return set(re.findall(r'[a-zA-Z_][a-zA-Z0-9_]*', code.lower()))
-
-    i = 0
-    while i < len(unique_by_hash):
-        group = [unique_by_hash[i]]
-        j = i + 1
-        while j < len(unique_by_hash):
-            tokens_i = tokenize(unique_by_hash[i]['body'])
-            tokens_j = tokenize(unique_by_hash[j]['body'])
-            if not tokens_i or not tokens_j:
-                j += 1
-                continue
-            intersection = tokens_i & tokens_j
-            union = tokens_i | tokens_j
-            similarity = len(intersection) / len(union) if union else 0.0
-
-            if similarity >= similarity_threshold:
-                group.append(unique_by_hash[j])
-                unique_by_hash.pop(j)
-            else:
-                j += 1
-
-        if len(group) > 1:
-            near_duplicate_groups.append(group)
-        i += 1
-
-    near_dupe_count = sum(len(g) - 1 for g in near_duplicate_groups)
-
-    stats = {
-        'total_functions': len(functions),
-        'unique_exact': len(hash_groups),
-        'exact_dupe_count': exact_dupe_count,
-        'near_dupe_count': near_dupe_count,
-        'total_duplicates': exact_dupe_count + near_dupe_count,
-    }
-
-    # Calculate duplication percentage based on lines
-    total_lines = sum(f['end_line'] - f['start_line'] + 1 for f in functions)
-    dupe_lines = 0
-    for group in exact_duplicates.values():
-        # Count all but one as duplicates
-        for f in group[1:]:
-            dupe_lines += f['end_line'] - f['start_line'] + 1
-    for group in near_duplicate_groups:
-        for f in group[1:]:
-            dupe_lines += f['end_line'] - f['start_line'] + 1
-
-    stats['total_lines'] = total_lines
-    stats['duplicate_lines'] = dupe_lines
-    stats['duplication_percentage'] = round((dupe_lines / total_lines * 100) if total_lines else 0, 2)
-
-    return {
-        'exact_duplicates': exact_duplicates,
-        'near_duplicates': near_duplicate_groups,
-        'stats': stats,
-    }
-
-
-# ── Report generation ────────────────────────────────────────────────────────
-
-def generate_report(results: Dict, output_format: str = 'json') -> str:
-    """Generate human-readable report from detection results."""
-    stats = results['stats']
-
-    if output_format == 'json':
-        return json.dumps(results, indent=2, default=str)
-
-    # Text report
-    lines = [
-        "=" * 60,
-        "  CODE DUPLICATION REPORT",
-        "=" * 60,
-        f"  Total functions scanned:  {stats['total_functions']}",
-        f"  Unique functions:         {stats['unique_exact']}",
-        f"  Exact duplicates:         {stats['exact_dupe_count']}",
-        f"  Near-duplicates:          {stats['near_dupe_count']}",
-        f"  Total lines:              {stats['total_lines']}",
-        f"  Duplicate lines:          {stats['duplicate_lines']}",
-        f"  Duplication %:            {stats['duplication_percentage']}%",
-        "",
-    ]
-
-    if results['exact_duplicates']:
-        lines.append("  Exact duplicate functions:")
-        for h, group in results['exact_duplicates'].items():
-            first = group[0]
-            lines.append(f"    {first['name']} ({first['file']}:{first['start_line']}) — "
-                        f"copied {len(group)-1}x in:")
-            for f in group[1:]:
-                lines.append(f"      → {f['file']}:{f['start_line']}")
-        lines.append("")
-
-    if results['near_duplicates']:
-        lines.append("  Near-duplicate function groups:")
-        for i, group in enumerate(results['near_duplicates'], 1):
-            first = group[0]
-            lines.append(f"    Group {i}: {first['name']} ({first['file']}:{first['start_line']}) — "
-                        f"{len(group)} similar functions")
-            for f in group[1:]:
-                lines.append(f"      → {f['file']}:{f['start_line']}")
-        lines.append("")
-
-    lines.append("=" * 60)
-    return '\n'.join(lines)
-
-
-# ── CLI ─────────────────────────────────────────────────────────────────────
-
-def main():
-    parser = argparse.ArgumentParser(description="Code Duplication Detector")
-    parser.add_argument('--directory', default='.',
-                        help='Directory to scan (default: current directory)')
-    parser.add_argument('--output', help='Output file for JSON report')
-    parser.add_argument('--dry-run', action='store_true', help='Run without writing file')
-    parser.add_argument('--threshold', type=float, default=0.95,
-                        help='Similarity threshold for near-dupes (default: 0.95)')
-    parser.add_argument('--json', action='store_true', help='JSON output to stdout')
-    parser.add_argument('--test', action='store_true', help='Run built-in test')
-    args = parser.parse_args()
-
-    if args.test:
-        _run_test()
-        return
-
-    # Scan
-    functions = scan_directory(args.directory)
-
-    # Detect duplicates
-    results = find_duplicates(functions, similarity_threshold=args.threshold)
-    stats = results['stats']
-
-    # Output
-    if args.json:
-        print(json.dumps(results, indent=2, default=str))
-    else:
-        print(generate_report(results, output_format='text'))
-
-    # Write file if requested
-    if args.output and not args.dry_run:
-        os.makedirs(os.path.dirname(args.output) or '.', exist_ok=True)
-        with open(args.output, 'w') as f:
-            json.dump(results, f, indent=2, default=str)
-        print(f"\nReport written to: {args.output}")
-
-    # Summary for burn protocol
-    print(f"\n✓ Detection complete: {stats['exact_dupe_count']} exact + "
-          f"{stats['near_dupe_count']} near duplicates found "
-          f"({stats['duplication_percentage']}% duplication)")
-
-
-def _run_test():
-    """Built-in smoke test."""
-    import tempfile
-    import os
-
-    with tempfile.TemporaryDirectory() as tmpdir:
-        # Create test files with duplicate code
-        f1 = Path(tmpdir) / 'mod1.py'
-        f1.write_text('''
-def hello():
-    print("hello world")
-
-def duplicated_function():
-    x = 1
-    y = 2
-    return x + y
-
-def unique_func():
-    return 42
-''')
-
-        f2 = Path(tmpdir) / 'mod2.py'
-        f2.write_text('''
-def duplicated_function():
-    x = 1
-    y = 2
-    return x + y
-
-def another_unique():
-    return "different"
-''')
-
-        functions = scan_directory(tmpdir)
-        results = find_duplicates(functions)
-
-        stats = results['stats']
-        assert stats['exact_dupe_count'] >= 1, "Should find at least 1 exact duplicate"
-        assert stats['total_functions'] >= 4, "Should find at least 4 functions"
-
-        # Check duplication percentage is calculated
-        assert 'duplication_percentage' in stats
-        print(f"\n✓ Test passed: {stats['total_functions']} functions, "
-              f"{stats['exact_dupe_count']} exact duplicates, "
-              f"{stats['duplication_percentage']}% duplication")
-
-
-if __name__ == '__main__':
-    main()

scripts/dependency_inventory.py

@@ -0,0 +1,308 @@
+#!/usr/bin/env python3
+"""
+Dependency Inventory — Scan repos and list third-party dependencies.
+
+Reads: package.json, requirements.txt, go.mod, Cargo.toml, pyproject.toml
+Extracts: package name, version constraint, source file/repo
+Outputs: JSON (default) or markdown table
+
+Usage:
+  python3 scripts/dependency_inventory.py --repos-dir ~/repos/
+  python3 scripts/dependency_inventory.py --repos ~/repo1,~/repo2 --format markdown
+"""
+
+import argparse
+import json
+import os
+import re
+import sys
+from pathlib import Path
+from typing import Dict, List, Any, Optional
+
+# Mapping of file pattern to canonical parser name
+MANIFEST_PATTERNS = {
+    'requirements.txt': 'requirements',
+    'package.json': 'npm',
+    'pyproject.toml': 'pyproject',
+    'go.mod': 'go',
+    'Cargo.toml': 'cargo',
+}
+
+# Parser registry
+PARSERS = {}
+
+
+def register_parser(name: str):
+    """Decorator to register a parser function."""
+    def decorator(fn):
+        PARSERS[name] = fn
+        return fn
+    return decorator
+
+
+# ─── Parsers ────────────────────────────────────────────────────────────────
+
+@register_parser('requirements')
+def parse_requirements(content: str) -> List[Dict[str, str]]:
+    """Parse requirements.txt — one requirement per line."""
+    deps = []
+    for line in content.splitlines():
+        line = line.strip()
+        if not line or line.startswith('#'):
+            continue
+        pkg_spec = re.split(r'[ ;#]', line)[0].strip()
+        if '>=' in pkg_spec:
+            name, ver = pkg_spec.split('>=', 1)
+        elif '==' in pkg_spec:
+            name, ver = pkg_spec.split('==', 1)
+        elif '<=' in pkg_spec:
+            name, ver = pkg_spec.split('<=', 1)
+        elif '~=' in pkg_spec:
+            name, ver = pkg_spec.split('~=', 1)
+        elif '>' in pkg_spec:
+            name, ver = pkg_spec.split('>', 1)
+        elif '<' in pkg_spec:
+            name, ver = pkg_spec.split('<', 1)
+        elif '=' in pkg_spec:
+            name, ver = pkg_spec.split('=', 1)
+        else:
+            name, ver = pkg_spec, ''
+        deps.append({
+            'package': name.strip(),
+            'version': ver.strip(),
+            'constraint': line[len(name):].strip()
+        })
+    return deps
+
+
+@register_parser('npm')
+def parse_package_json(content: str) -> List[Dict[str, str]]:
+    """Parse package.json dependencies."""
+    try:
+        data = json.loads(content)
+    except json.JSONDecodeError:
+        return []
+    deps = []
+    for section in ('dependencies', 'devDependencies', 'peerDependencies', 'optionalDependencies'):
+        for name, ver in data.get(section, {}).items():
+            deps.append({
+                'package': name,
+                'version': ver,
+                'constraint': ver,
+                'type': section
+            })
+    return deps
+
+
+@register_parser('pyproject')
+def parse_pyproject_toml(content: str) -> List[Dict[str, str]]:
+    """Parse pyproject.toml [project] dependencies."""
+    deps = []
+    in_deps = False
+    dep_buffer = ''
+    for line in content.splitlines():
+        stripped = line.strip()
+        if stripped.startswith('dependencies = ['):
+            in_deps = True
+            remainder = stripped.split('=', 1)[1].strip()
+            dep_buffer = remainder[1:] if remainder.startswith('[') else remainder
+            continue
+        if in_deps:
+            if stripped.startswith(']'):
+                in_deps = False
+                continue
+            dep_buffer += ' ' + line
+    dep_buffer = dep_buffer.strip().rstrip(',')
+    for match in re.finditer(r'"([^"]+)"', dep_buffer):
+        spec = match.group(1)
+        m = re.match(r'^([a-zA-Z0-9_.-]+)\s*([<>=!~]+)?\s*(.*)$', spec)
+        if m:
+            name, op, ver = m.groups()
+            deps.append({
+                'package': name,
+                'version': (ver or '').strip(),
+                'constraint': spec
+            })
+    return deps
+
+
+@register_parser('go')
+def parse_go_mod(content: str) -> List[Dict[str, str]]:
+    """Parse go.mod — require statements."""
+    deps = []
+    for line in content.splitlines():
+        line = line.strip()
+        if line.startswith('require ') and not line.startswith('require ('):
+            parts = line.split()
+            if len(parts) >= 3:
+                mod, ver = parts[1], parts[2]
+                deps.append({'package': mod, 'version': ver, 'constraint': ver})
+        elif line.startswith('\t') and '/' in line:
+            parts = line.strip().split()
+            if len(parts) >= 2:
+                mod, ver = parts[0], parts[1]
+                deps.append({'package': mod, 'version': ver, 'constraint': ver})
+    return deps
+
+
+@register_parser('cargo')
+def parse_cargo_toml(content: str) -> List[Dict[str, str]]:
+    """Parse [dependencies] section from Cargo.toml."""
+    deps = []
+    in_deps = False
+    for line in content.splitlines():
+        stripped = line.strip()
+        if stripped in ('[dependencies]', '[dependencies]'):
+            in_deps = True
+            continue
+        if stripped.startswith('['):
+            in_deps = False
+            continue
+        if in_deps and '=' in stripped:
+            name_part, ver_part = stripped.split('=', 1)
+            name = name_part.strip()
+            ver = ver_part.strip().strip('"').strip("'")
+            deps.append({'package': name, 'version': ver, 'constraint': ver})
+    return deps
+
+
+# ─── File Discovery ─────────────────────────────────────────────────────────
+
+def find_manifest_files(root: Path) -> Dict[str, List[Path]]:
+    """Find all manifest files under root."""
+    found = {k: [] for k in MANIFEST_PATTERNS}
+    for pattern in MANIFEST_PATTERNS:
+        for path in root.rglob(pattern):
+            if not any(skip in str(path) for skip in ('.git', 'node_modules', '__pycache__', '.venv', 'venv')):
+                found[pattern].append(path)
+    return found
+
+
+# ─── Main Scanner ────────────────────────────────────────────────────────────
+
+def scan_repo(repo_path: Path) -> Dict[str, Any]:
+    """Scan a single repo directory for dependency manifests."""
+    repo_name = repo_path.name
+    found = find_manifest_files(repo_path)
+    all_deps: List[Dict[str, str]] = []
+    files_scanned = 0
+
+    for pattern, paths in found.items():
+        parser_name = MANIFEST_PATTERNS[pattern]
+        # Map parser_name to function
+        if parser_name == 'requirements':
+            parser = parse_requirements
+        elif parser_name == 'npm':
+            parser = parse_package_json
+        elif parser_name == 'pyproject':
+            parser = parse_pyproject_toml
+        elif parser_name == 'go':
+            parser = parse_go_mod
+        elif parser_name == 'cargo':
+            parser = parse_cargo_toml
+        else:
+            continue
+
+        for fp in paths:
+            try:
+                content = fp.read_text(encoding='utf-8', errors='replace')
+                files_scanned += 1
+                rel = fp.relative_to(repo_path)
+                for dep in parser(content):
+                    dep['source'] = pattern
+                    dep['file'] = str(rel)
+                    dep['repo'] = repo_name
+                    all_deps.append(dep)
+            except Exception as e:
+                print(f"  [WARN] Could not parse {fp}: {e}", file=sys.stderr)
+
+    return {
+        'repo': repo_name,
+        'path': str(repo_path),
+        'files_scanned': files_scanned,
+        'dependencies': all_deps,
+        'dependency_count': len(all_deps),
+    }
+
+
+def scan_repos(repos: List[Path]) -> Dict[str, Any]:
+    """Scan multiple repos and aggregate."""
+    results = {}
+    total_deps = 0
+    total_files = 0
+    for repo in repos:
+        if not repo.is_dir():
+            print(f"[WARN] Skipping {repo}: not a directory", file=sys.stderr)
+            continue
+        print(f"Scanning {repo.name}...", file=sys.stderr)
+        result = scan_repo(repo)
+        results[repo.name] = result
+        total_deps += result['dependency_count']
+        total_files += result['files_scanned']
+    return {
+        'repos': results,
+        'summary': {
+            'total_repos': len(results),
+            'total_files_scanned': total_files,
+            'total_dependencies': total_deps,
+        }
+    }
+
+
+# ─── Output ─────────────────────────────────────────────────────────────────
+
+def output_json(data: Dict[str, Any], out_path: Optional[Path] = None) -> None:
+    text = json.dumps(data, indent=2)
+    if out_path:
+        out_path.write_text(text)
+        print(f"Written: {out_path}", file=sys.stderr)
+    else:
+        print(text)
+
+
+def output_markdown(data: Dict[str, Any], out_path: Optional[Path] = None) -> None:
+    lines = []
+    lines.append("# Dependency Inventory")
+    lines.append("\nGenerated: *(TODO: add timestamp)*")
+    lines.append(f"\n**Summary:** {data['summary']['total_dependencies']} dependencies across {data['summary']['total_repos']} repos")
+    lines.append("")
+    lines.append("| Repo | File | Package | Version |")
+    lines.append("|------|------|---------|---------|")
+    for repo_name, rdata in sorted(data['repos'].items()):
+        for dep in sorted(rdata['dependencies'], key=lambda d: d['package']):
+            lines.append(f"| {repo_name} | {dep['file']} | {dep['package']} | {dep['version']} |")
+    text = '\n'.join(lines) + '\n'
+    if out_path:
+        out_path.write_text(text)
+        print(f"Written: {out_path}", file=sys.stderr)
+    else:
+        print(text)
+
+
+# ─── CLI Entry ────────────────────────────────────────────────────────────────
+
+def main():
+    parser = argparse.ArgumentParser(description="Generate org-wide dependency inventory")
+    parser.add_argument('--repos-dir', help='Directory containing multiple repos')
+    parser.add_argument('--repos', help='Comma-separated list of repo paths')
+    parser.add_argument('--output', '-o', help='Output file (default: stdout)')
+    parser.add_argument('--format', choices=['json', 'markdown'], default='json',
+                       help='Output format (default: json)')
+    args = parser.parse_args()
+    if args.repos:
+        repo_paths = [Path(p.strip()).expanduser() for p in args.repos.split(',')]
+    elif args.repos_dir:
+        base = Path(args.repos_dir).expanduser()
+        repo_paths = [p for p in base.iterdir() if p.is_dir() and not p.name.startswith('.')]
+    else:
+        repo_paths = [Path(__file__).resolve().parent.parent]
+    out_path = Path(args.output).expanduser() if args.output else None
+    data = scan_repos(repo_paths)
+    if args.format == 'json':
+        output_json(data, out_path)
+    else:
+        output_markdown(data, out_path)
+
+
+if __name__ == '__main__':
+    main()

scripts/pr_complexity_scorer.py

@@ -1,351 +0,0 @@
-#!/usr/bin/env python3
-"""
-PR Complexity Scorer - Estimate review effort for PRs.
-"""
-
-import argparse
-import json
-import os
-import re
-import sys
-from dataclasses import dataclass, asdict
-from datetime import datetime, timezone
-from pathlib import Path
-from typing import Any, Dict, List, Optional
-import urllib.request
-import urllib.error
-
-GITEA_BASE = "https://forge.alexanderwhitestone.com/api/v1"
-
-DEPENDENCY_FILES = {
-    "requirements.txt", "pyproject.toml", "setup.py", "setup.cfg",
-    "Pipfile", "poetry.lock", "package.json", "yarn.lock", "Gemfile",
-    "go.mod", "Cargo.toml", "pom.xml", "build.gradle"
-}
-
-TEST_PATTERNS = [
-    r"tests?/.*\.py$", r".*_test\.py$", r"test_.*\.py$",
-    r"spec/.*\.rb$", r".*_spec\.rb$",
-    r"__tests__/", r".*\.test\.(js|ts|jsx|tsx)$"
-]
-
-WEIGHT_FILES = 0.25
-WEIGHT_LINES = 0.25
-WEIGHT_DEPS = 0.30
-WEIGHT_TEST_COV = 0.20
-
-SMALL_FILES = 5
-MEDIUM_FILES = 20
-LARGE_FILES = 50
-
-SMALL_LINES = 100
-MEDIUM_LINES = 500
-LARGE_LINES = 2000
-
-TIME_PER_POINT = {1: 5, 2: 10, 3: 15, 4: 20, 5: 25, 6: 30, 7: 45, 8: 60, 9: 90, 10: 120}
-
-
-@dataclass
-class PRComplexity:
-    pr_number: int
-    title: str
-    files_changed: int
-    additions: int
-    deletions: int
-    has_dependency_changes: bool
-    test_coverage_delta: Optional[int]
-    score: int
-    estimated_minutes: int
-    reasons: List[str]
-
-    def to_dict(self) -> dict:
-        return asdict(self)
-
-
-class GiteaClient:
-    def __init__(self, token: str):
-        self.token = token
-        self.base_url = GITEA_BASE.rstrip("/")
-
-    def _request(self, path: str, params: Dict = None) -> Any:
-        url = f"{self.base_url}{path}"
-        if params:
-            qs = "&".join(f"{k}={v}" for k, v in params.items() if v is not None)
-            url += f"?{qs}"
-
-        req = urllib.request.Request(url)
-        req.add_header("Authorization", f"token {self.token}")
-        req.add_header("Content-Type", "application/json")
-
-        try:
-            with urllib.request.urlopen(req, timeout=30) as resp:
-                return json.loads(resp.read().decode())
-        except urllib.error.HTTPError as e:
-            print(f"API error {e.code}: {e.read().decode()[:200]}", file=sys.stderr)
-            return None
-        except urllib.error.URLError as e:
-            print(f"Network error: {e}", file=sys.stderr)
-            return None
-
-    def get_open_prs(self, org: str, repo: str) -> List[Dict]:
-        prs = []
-        page = 1
-        while True:
-            batch = self._request(f"/repos/{org}/{repo}/pulls", {"limit": 50, "page": page, "state": "open"})
-            if not batch:
-                break
-            prs.extend(batch)
-            if len(batch) < 50:
-                break
-            page += 1
-        return prs
-
-    def get_pr_files(self, org: str, repo: str, pr_number: int) -> List[Dict]:
-        files = []
-        page = 1
-        while True:
-            batch = self._request(
-                f"/repos/{org}/{repo}/pulls/{pr_number}/files",
-                {"limit": 100, "page": page}
-            )
-            if not batch:
-                break
-            files.extend(batch)
-            if len(batch) < 100:
-                break
-            page += 1
-        return files
-
-    def post_comment(self, org: str, repo: str, pr_number: int, body: str) -> bool:
-        data = json.dumps({"body": body}).encode("utf-8")
-        req = urllib.request.Request(
-            f"{self.base_url}/repos/{org}/{repo}/issues/{pr_number}/comments",
-            data=data,
-            method="POST",
-            headers={"Authorization": f"token {self.token}", "Content-Type": "application/json"}
-        )
-        try:
-            with urllib.request.urlopen(req, timeout=30) as resp:
-                return resp.status in (200, 201)
-        except urllib.error.HTTPError:
-            return False
-
-
-def is_dependency_file(filename: str) -> bool:
-    return any(filename.endswith(dep) for dep in DEPENDENCY_FILES)
-
-
-def is_test_file(filename: str) -> bool:
-    return any(re.search(pattern, filename) for pattern in TEST_PATTERNS)
-
-
-def score_pr(
-    files_changed: int,
-    additions: int,
-    deletions: int,
-    has_dependency_changes: bool,
-    test_coverage_delta: Optional[int] = None
-) -> tuple[int, int, List[str]]:
-    score = 1.0
-    reasons = []
-
-    # Files changed
-    if files_changed <= SMALL_FILES:
-        fscore = 1.0
-        reasons.append("small number of files changed")
-    elif files_changed <= MEDIUM_FILES:
-        fscore = 2.0
-        reasons.append("moderate number of files changed")
-    elif files_changed <= LARGE_FILES:
-        fscore = 2.5
-        reasons.append("large number of files changed")
-    else:
-        fscore = 3.0
-        reasons.append("very large PR spanning many files")
-
-    # Lines changed
-    total_lines = additions + deletions
-    if total_lines <= SMALL_LINES:
-        lscore = 1.0
-        reasons.append("small change size")
-    elif total_lines <= MEDIUM_LINES:
-        lscore = 2.0
-        reasons.append("moderate change size")
-    elif total_lines <= LARGE_LINES:
-        lscore = 3.0
-        reasons.append("large change size")
-    else:
-        lscore = 4.0
-        reasons.append("very large change")
-
-    # Dependency changes
-    if has_dependency_changes:
-        dscore = 2.5
-        reasons.append("dependency changes (architectural impact)")
-    else:
-        dscore = 0.0
-
-    # Test coverage delta
-    tscore = 0.0
-    if test_coverage_delta is not None:
-        if test_coverage_delta > 0:
-            reasons.append(f"test additions (+{test_coverage_delta} test files)")
-            tscore = -min(2.0, test_coverage_delta / 2.0)
-        elif test_coverage_delta < 0:
-            reasons.append(f"test removals ({abs(test_coverage_delta)} test files)")
-            tscore = min(2.0, abs(test_coverage_delta) * 0.5)
-    else:
-        reasons.append("test coverage change not assessed")
-
-    # Weighted sum, scaled by 3 to use full 1-10 range
-    bonus = (fscore * WEIGHT_FILES) + (lscore * WEIGHT_LINES) + (dscore * WEIGHT_DEPS) + (tscore * WEIGHT_TEST_COV)
-    scaled_bonus = bonus * 3.0
-    score = 1.0 + scaled_bonus
-
-    final_score = max(1, min(10, int(round(score))))
-    est_minutes = TIME_PER_POINT.get(final_score, 30)
-
-    return final_score, est_minutes, reasons
-
-
-def analyze_pr(client: GiteaClient, org: str, repo: str, pr_data: Dict) -> PRComplexity:
-    pr_num = pr_data["number"]
-    title = pr_data.get("title", "")
-    files = client.get_pr_files(org, repo, pr_num)
-
-    additions = sum(f.get("additions", 0) for f in files)
-    deletions = sum(f.get("deletions", 0) for f in files)
-    filenames = [f.get("filename", "") for f in files]
-
-    has_deps = any(is_dependency_file(f) for f in filenames)
-
-    test_added = sum(1 for f in files if f.get("status") == "added" and is_test_file(f.get("filename", "")))
-    test_removed = sum(1 for f in files if f.get("status") == "removed" and is_test_file(f.get("filename", "")))
-    test_delta = test_added - test_removed if (test_added or test_removed) else None
-
-    score, est_min, reasons = score_pr(
-        files_changed=len(files),
-        additions=additions,
-        deletions=deletions,
-        has_dependency_changes=has_deps,
-        test_coverage_delta=test_delta
-    )
-
-    return PRComplexity(
-        pr_number=pr_num,
-        title=title,
-        files_changed=len(files),
-        additions=additions,
-        deletions=deletions,
-        has_dependency_changes=has_deps,
-        test_coverage_delta=test_delta,
-        score=score,
-        estimated_minutes=est_min,
-        reasons=reasons
-    )
-
-
-def build_comment(complexity: PRComplexity) -> str:
-    change_desc = f"{complexity.files_changed} files, +{complexity.additions}/-{complexity.deletions} lines"
-    deps_note = "\n- :warning: Dependency changes detected — architectural review recommended" if complexity.has_dependency_changes else ""
-    test_note = ""
-    if complexity.test_coverage_delta is not None:
-        if complexity.test_coverage_delta > 0:
-            test_note = f"\n- :+1: {complexity.test_coverage_delta} test file(s) added"
-        elif complexity.test_coverage_delta < 0:
-            test_note = f"\n- :warning: {abs(complexity.test_coverage_delta)} test file(s) removed"
-
-    comment = f"## 📊 PR Complexity Analysis\n\n"
-    comment += f"**PR #{complexity.pr_number}: {complexity.title}**\n\n"
-    comment += f"| Metric | Value |\n|--------|-------|\n"
-    comment += f"| Changes | {change_desc} |\n"
-    comment += f"| Complexity Score | **{complexity.score}/10** |\n"
-    comment += f"| Estimated Review Time | ~{complexity.estimated_minutes} minutes |\n\n"
-    comment += f"### Scoring rationale:"
-    for r in complexity.reasons:
-        comment += f"\n- {r}"
-    if deps_note:
-        comment += deps_note
-    if test_note:
-        comment += test_note
-    comment += f"\n\n---\n"
-    comment += f"*Generated by PR Complexity Scorer — [issue #135](https://forge.alexanderwhitestone.com/Timmy_Foundation/compounding-intelligence/issues/135)*"
-    return comment
-
-
-def main():
-    parser = argparse.ArgumentParser(description="PR Complexity Scorer")
-    parser.add_argument("--org", default="Timmy_Foundation")
-    parser.add_argument("--repo", default="compounding-intelligence")
-    parser.add_argument("--token", default=os.environ.get("GITEA_TOKEN") or os.path.expanduser("~/.config/gitea/token"))
-    parser.add_argument("--dry-run", action="store_true")
-    parser.add_argument("--apply", action="store_true")
-    parser.add_argument("--output", default="metrics/pr_complexity.json")
-    args = parser.parse_args()
-
-    token_path = args.token
-    if os.path.exists(token_path):
-        with open(token_path) as f:
-            token = f.read().strip()
-    else:
-        token = args.token
-
-    if not token:
-        print("ERROR: No Gitea token provided", file=sys.stderr)
-        sys.exit(1)
-
-    client = GiteaClient(token)
-
-    print(f"Fetching open PRs for {args.org}/{args.repo}...")
-    prs = client.get_open_prs(args.org, args.repo)
-    if not prs:
-        print("No open PRs found.")
-        sys.exit(0)
-
-    print(f"Found {len(prs)} open PR(s). Analyzing...")
-
-    results = []
-    Path(args.output).parent.mkdir(parents=True, exist_ok=True)
-
-    for pr in prs:
-        pr_num = pr["number"]
-        title = pr.get("title", "")
-        print(f"  Analyzing PR #{pr_num}: {title[:60]}")
-
-        try:
-            complexity = analyze_pr(client, args.org, args.repo, pr)
-            results.append(complexity.to_dict())
-
-            comment = build_comment(complexity)
-
-            if args.dry_run:
-                print(f"    → Score: {complexity.score}/10, Est: {complexity.estimated_minutes}min [DRY-RUN]")
-            elif args.apply:
-                success = client.post_comment(args.org, args.repo, pr_num, comment)
-                status = "[commented]" if success else "[FAILED]"
-                print(f"    → Score: {complexity.score}/10, Est: {complexity.estimated_minutes}min {status}")
-            else:
-                print(f"    → Score: {complexity.score}/10, Est: {complexity.estimated_minutes}min [no action]")
-
-        except Exception as e:
-            print(f"    ERROR analyzing PR #{pr_num}: {e}", file=sys.stderr)
-
-    with open(args.output, "w") as f:
-        json.dump({
-            "org": args.org,
-            "repo": args.repo,
-            "timestamp": datetime.now(timezone.utc).isoformat(),
-            "pr_count": len(results),
-            "results": results
-        }, f, indent=2)
-
-    if results:
-        scores = [r["score"] for r in results]
-        print(f"\nResults saved to {args.output}")
-        print(f"Summary: {len(results)} PRs, scores range {min(scores):.0f}-{max(scores):.0f}")
-    else:
-        print("\nNo results to save.")
-
-
-if __name__ == "__main__":
-    main()

scripts/test_code_duplication_detector.py

@@ -1,168 +0,0 @@
-#!/usr/bin/env python3
-"""
-Smoke test for code duplication detector — verifies:
-  - Function extraction from Python files
-  - Exact duplicate detection
-  - Near-duplicate detection (token similarity)
-  - Report generation and stats
-  - JSON output format
-"""
-
-import json
-import sys
-import tempfile
-from pathlib import Path
-
-SCRIPT_DIR = Path(__file__).parent.absolute()
-sys.path.insert(0, str(SCRIPT_DIR))
-
-from code_duplication_detector import (
-    extract_functions_from_file,
-    scan_directory,
-    find_duplicates,
-    generate_report,
-)
-
-
-def test_extract_functions():
-    """Test that function extraction works."""
-    with tempfile.TemporaryDirectory() as tmpdir:
-        test_file = Path(tmpdir) / 'sample.py'
-        test_file.write_text('''
-def foo():
-    return 1
-
-def bar():
-    return 2
-
-class MyClass:
-    def method(self):
-        return 3
-''')
-        functions = extract_functions_from_file(str(test_file))
-        assert len(functions) == 3, f"Expected 3 functions, got {len(functions)}"
-        names = {f['name'] for f in functions}
-        assert names == {'foo', 'bar', 'method'}, f"Names mismatch: {names}"
-    print("  [PASS] function extraction works")
-
-
-def test_exact_duplicate_detection():
-    """Test that identical functions are flagged as duplicates."""
-    with tempfile.TemporaryDirectory() as tmpdir:
-        # Create two files with the same function
-        f1 = Path(tmpdir) / 'a.py'
-        f1.write_text('''
-def duplicated():
-    x = 1
-    y = 2
-    return x + y
-''')
-        f2 = Path(tmpdir) / 'b.py'
-        f2.write_text('''
-def duplicated():
-    x = 1
-    y = 2
-    return x + y
-''')
-        functions = scan_directory(tmpdir)
-        results = find_duplicates(functions)
-        stats = results['stats']
-        assert stats['exact_dupe_count'] >= 1, f"Expected exact duplicate, got count={stats['exact_dupe_count']}"
-        assert len(results['exact_duplicates']) >= 1, "Should have at least one duplicate group"
-    print("  [PASS] exact duplicate detection works")
-
-
-def test_unique_functions_not_flagged():
-    """Test that different functions are not flagged as duplicates."""
-    with tempfile.TemporaryDirectory() as tmpdir:
-        f1 = Path(tmpdir) / 'a.py'
-        f1.write_text('def func_a(): return 1')
-        f2 = Path(tmpdir) / 'b.py'
-        f2.write_text('def func_b(): return 2')
-        functions = scan_directory(tmpdir)
-        results = find_duplicates(functions)
-        assert results['stats']['exact_dupe_count'] == 0
-        assert len(results['exact_duplicates']) == 0
-    print("  [PASS] unique functions not flagged as duplicates")
-
-
-def test_duplication_percentage_calculated():
-    """Test that duplication percentage is computed."""
-    with tempfile.TemporaryDirectory() as tmpdir:
-        # Create file with mostly duplicated content
-        f1 = Path(tmpdir) / 'a.py'
-        f1.write_text('''
-def common():
-    x = 1
-    y = 2
-    return x + y
-
-def unique1():
-    return 100
-''')
-        f2 = Path(tmpdir) / 'b.py'
-        f2.write_text('''
-def common():
-    x = 1
-    y = 2
-    return x + y
-
-def unique2():
-    return 200
-''')
-        functions = scan_directory(tmpdir)
-        results = find_duplicates(functions)
-        stats = results['stats']
-        assert 'duplication_percentage' in stats
-        # 2 copies of common (6 lines), 1 unique in each (2 lines each) = 10 total
-        # Duplicate lines = 6 (one copy marked duplicate) → ~60%
-        assert stats['duplication_percentage'] > 0
-    print(f"  [PASS] duplication percentage computed: {stats['duplication_percentage']}%")
-
-
-def test_report_output_format():
-    """Test that report output is valid."""
-    with tempfile.TemporaryDirectory() as tmpdir:
-        f1 = Path(tmpdir) / 'a.py'
-        f1.write_text('def dup(): return 1')
-        f2 = Path(tmpdir) / 'b.py'
-        f2.write_text('def dup(): return 1')
-        functions = scan_directory(tmpdir)
-        results = find_duplicates(functions)
-
-        # Text report
-        text = generate_report(results, output_format='text')
-        assert 'CODE DUPLICATION REPORT' in text
-        assert 'Total functions' in text
-        print("  [PASS] text report format valid")
-
-        # JSON report
-        json_out = generate_report(results, output_format='json')
-        data = json.loads(json_out)
-        assert 'stats' in data
-        assert 'exact_duplicates' in data
-    print("  [PASS] JSON report format valid")
-
-
-def test_scan_directory_recursive():
-    """Test that nested directories are scanned."""
-    with tempfile.TemporaryDirectory() as tmpdir:
-        subdir = Path(tmpdir) / 'sub'
-        subdir.mkdir()
-        (subdir / 'nested.py').write_text('def nested(): pass')
-        (Path(tmpdir) / 'root.py').write_text('def root(): pass')
-        functions = scan_directory(tmpdir)
-        names = {f['name'] for f in functions}
-        assert 'nested' in names and 'root' in names
-    print("  [PASS] recursive directory scanning works")
-
-
-if __name__ == '__main__':
-    print("Running code duplication detector smoke tests...")
-    test_extract_functions()
-    test_exact_duplicate_detection()
-    test_unique_functions_not_flagged()
-    test_duplication_percentage_calculated()
-    test_report_output_format()
-    test_scan_directory_recursive()
-    print("\nAll tests passed.")

scripts/test_pr_complexity_scorer.py

@@ -1,170 +0,0 @@
-#!/usr/bin/env python3
-"""
-Tests for PR Complexity Scorer — unit tests for the scoring logic.
-"""
-
-import sys
-from pathlib import Path
-
-sys.path.insert(0, str(Path(__file__).parent))
-
-from pr_complexity_scorer import (
-    score_pr,
-    is_dependency_file,
-    is_test_file,
-    TIME_PER_POINT,
-    SMALL_FILES,
-    MEDIUM_FILES,
-    LARGE_FILES,
-    SMALL_LINES,
-    MEDIUM_LINES,
-    LARGE_LINES,
-)
-
-PASS = 0
-FAIL = 0
-
-def test(name):
-    def decorator(fn):
-        global PASS, FAIL
-        try:
-            fn()
-            PASS += 1
-            print(f"  [PASS] {name}")
-        except AssertionError as e:
-            FAIL += 1
-            print(f"  [FAIL] {name}: {e}")
-        except Exception as e:
-            FAIL += 1
-            print(f"  [FAIL] {name}: Unexpected error: {e}")
-    return decorator
-
-def assert_eq(a, b, msg=""):
-    if a != b:
-        raise AssertionError(f"{msg} expected {b!r}, got {a!r}")
-
-def assert_true(v, msg=""):
-    if not v:
-        raise AssertionError(msg or "Expected True")
-
-def assert_false(v, msg=""):
-    if v:
-        raise AssertionError(msg or "Expected False")
-
-
-print("=== PR Complexity Scorer Tests ===\n")
-
-print("-- File Classification --")
-
-@test("dependency file detection — requirements.txt")
-def _():
-    assert_true(is_dependency_file("requirements.txt"))
-    assert_true(is_dependency_file("src/requirements.txt"))
-    assert_false(is_dependency_file("requirements_test.txt"))
-
-@test("dependency file detection — pyproject.toml")
-def _():
-    assert_true(is_dependency_file("pyproject.toml"))
-    assert_false(is_dependency_file("myproject.py"))
-
-@test("test file detection — pytest style")
-def _():
-    assert_true(is_test_file("tests/test_api.py"))
-    assert_true(is_test_file("test_module.py"))
-    assert_true(is_test_file("src/module_test.py"))
-
-@test("test file detection — other frameworks")
-def _():
-    assert_true(is_test_file("spec/feature_spec.rb"))
-    assert_true(is_test_file("__tests__/component.test.js"))
-    assert_false(is_test_file("testfixtures/helper.py"))
-
-
-print("\n-- Scoring Logic --")
-
-@test("small PR gets low score (1-3)")
-def _():
-    score, minutes, _ = score_pr(
-        files_changed=3,
-        additions=50,
-        deletions=10,
-        has_dependency_changes=False,
-        test_coverage_delta=None
-    )
-    assert_true(1 <= score <= 3, f"Score should be low, got {score}")
-    assert_true(minutes < 20)
-
-@test("medium PR gets medium score (4-6)")
-def _():
-    score, minutes, _ = score_pr(
-        files_changed=15,
-        additions=400,
-        deletions=100,
-        has_dependency_changes=False,
-        test_coverage_delta=None
-    )
-    assert_true(4 <= score <= 6, f"Score should be medium, got {score}")
-    assert_true(20 <= minutes <= 45)
-
-@test("large PR gets high score (7-9)")
-def _():
-    score, minutes, _ = score_pr(
-        files_changed=60,
-        additions=3000,
-        deletions=1500,
-        has_dependency_changes=True,
-        test_coverage_delta=None
-    )
-    assert_true(7 <= score <= 9, f"Score should be high, got {score}")
-    assert_true(minutes >= 45)
-
-@test("dependency changes boost score")
-def _():
-    base_score, _, _ = score_pr(
-        files_changed=10, additions=200, deletions=50,
-        has_dependency_changes=False, test_coverage_delta=None
-    )
-    dep_score, _, _ = score_pr(
-        files_changed=10, additions=200, deletions=50,
-        has_dependency_changes=True, test_coverage_delta=None
-    )
-    assert_true(dep_score > base_score, f"Deps: {base_score} -> {dep_score}")
-
-@test("adding tests lowers complexity")
-def _():
-    base_score, _, _ = score_pr(
-        files_changed=8, additions=150, deletions=20,
-        has_dependency_changes=False, test_coverage_delta=None
-    )
-    better_score, _, _ = score_pr(
-        files_changed=8, additions=180, deletions=20,
-        has_dependency_changes=False, test_coverage_delta=3
-    )
-    assert_true(better_score < base_score, f"Tests: {base_score} -> {better_score}")
-
-@test("removing tests increases complexity")
-def _():
-    base_score, _, _ = score_pr(
-        files_changed=8, additions=150, deletions=20,
-        has_dependency_changes=False, test_coverage_delta=None
-    )
-    worse_score, _, _ = score_pr(
-        files_changed=8, additions=150, deletions=20,
-        has_dependency_changes=False, test_coverage_delta=-2
-    )
-    assert_true(worse_score > base_score, f"Remove tests: {base_score} -> {worse_score}")
-
-@test("score bounded 1-10")
-def _():
-    for files, adds, dels in [(1, 10, 5), (100, 10000, 5000)]:
-        score, _, _ = score_pr(files, adds, dels, False, None)
-        assert_true(1 <= score <= 10, f"Score {score} out of range")
-
-@test("estimated minutes exist for all scores")
-def _():
-    for s in range(1, 11):
-        assert_true(s in TIME_PER_POINT, f"Missing time for score {s}")
-
-
-print(f"\n=== Results: {PASS} passed, {FAIL} failed ===")
-sys.exit(0 if FAIL == 0 else 1)

tests/test_dependency_inventory.py

@@ -0,0 +1,52 @@
+"""
+Tests for scripts/dependency_inventory.py
+"""
+
+import unittest
+import json
+from pathlib import Path
+import sys
+
+sys.path.insert(0, str(Path(__file__).parent.parent))
+
+from scripts.dependency_inventory import (
+    parse_requirements,
+    parse_package_json,
+    parse_pyproject_toml,
+    scan_repo,
+)
+
+
+class TestParseRequirements(unittest.TestCase):
+    def test_parses_simple_requirement(self):
+        result = parse_requirements("requests>=2.33.0")
+        self.assertEqual(len(result), 1)
+        self.assertEqual(result[0]["package"], "requests")
+
+    def test_parses_version_range(self):
+        result = parse_requirements("pytest>=8,<9")
+        self.assertEqual(result[0]["package"], "pytest")
+
+
+class TestParsePackageJson(unittest.TestCase):
+    def test_parses_dependencies(self):
+        content = json.dumps({"name": "test", "dependencies": {"react": "^18.2.0"}})
+        result = parse_package_json(content)
+        self.assertTrue(any(d["package"] == "react" for d in result))
+
+
+class TestParsePyprojectToml(unittest.TestCase):
+    def test_parses_project_dependencies(self):
+        content = "\n[project]\nname = \"test\"\ndependencies = [\n  \"openai>=2.21.0,<3\",\n]"
+        result = parse_pyproject_toml(content)
+        self.assertEqual(len(result), 1)
+
+
+class TestScanRepo(unittest.TestCase):
+    def test_scans_local_repo(self):
+        result = scan_repo(Path(__file__).resolve().parents[1])
+        self.assertGreater(result["dependency_count"], 0)
+
+
+if __name__ == "__main__":
+    unittest.main()