Broke up test case generation

.gitignore

@@ -1 +1,2 @@
 .vscode/
+__pycache__/

SLS_Tests/generate_tests/__main__.py

@@ -0,0 +1,35 @@
+"""
+Test case generator for integer literals in the Stack Language.
+Generates comprehensive test cases for all integer types and bases.
+"""
+
+from .integer_tests import generate_integer_literal_tests
+
+if __name__ == "__main__":
+    # import json
+    import yaml
+    
+    # Generate tests
+    tests = []
+    tests.append(generate_integer_literal_tests())
+    
+    # Print summary
+    print(f"Generated {len(tests)} test cases")
+    
+    # # Save as JSON
+    # with open("integer_literal_tests.json", "w") as f:
+    #     json.dump(tests, f, indent=2)
+    # print("Saved to integer_literal_tests.json")
+    
+    # # Save as YAML
+    # with open("integer_literal_tests.yaml", "w") as f:
+    #     yaml.dump(tests, f, default_flow_style=False, sort_keys=False)
+    # print("Saved to integer_literal_tests.yaml")
+    
+    # Save as YAML
+    with open("cases.yaml", "w") as f:
+        yaml.dump(tests, f, default_flow_style=False, sort_keys=False)
+    
+    # Print first few tests as example
+    # print("\nFirst 3 test cases:")
+    # print(yaml.dump(tests[:3], default_flow_style=False, sort_keys=False))

SLS_Tests/generate_tests/integer_tests.py

@@ -1,53 +1,5 @@
-"""
-Test case generator for integer literals in the Stack Language.
-Generates comprehensive test cases for all integer types and bases.
-"""
-
 from typing import List, Dict, Any, Optional
-from dataclasses import dataclass, asdict
+from .utils import Token, Operation, StackItem, RuntimeError, TestCase, to_dict
-
-
-@dataclass
-class Token:
-    type: str
-    value: Any
-
-
-@dataclass
-class Operation:
-    function: str
-    type: str
-    value: Any
-
-
-@dataclass
-class StackItem:
-    type: str
-    value: Any
-
-
-@dataclass
-class RuntimeError:
-    message: str
-
-
-@dataclass
-class TestCase:
-    name: str
-    code: str
-    tokens: List[Dict[str, Any]]
-    operations: Optional[List[Dict[str, Any]]] = None
-    stack_final: Optional[List[Dict[str, Any]]] = None
-    runtime_error: Optional[Dict[str, str]] = None
-
-
-def to_dict(obj):
-    """Convert dataclass to dict, removing None values."""
-    if obj is None:
-        return None
-    d = asdict(obj) if hasattr(obj, '__dataclass_fields__') else obj
-    return {k: v for k, v in d.items() if v is not None}
-
 
 class IntegerTestGenerator:
     """Generate test cases for integer literals."""
@@ -324,32 +276,3 @@ def generate_integer_literal_tests() -> List[Dict[str, Any]]:
     """
     generator = IntegerTestGenerator()
     return generator.generate_all_tests()
-
-
-if __name__ == "__main__":
-    # import json
-    import yaml
-    
-    # Generate tests
-    tests = generate_integer_literal_tests()
-    
-    # Print summary
-    print(f"Generated {len(tests)} test cases")
-    
-    # # Save as JSON
-    # with open("integer_literal_tests.json", "w") as f:
-    #     json.dump(tests, f, indent=2)
-    # print("Saved to integer_literal_tests.json")
-    
-    # # Save as YAML
-    # with open("integer_literal_tests.yaml", "w") as f:
-    #     yaml.dump(tests, f, default_flow_style=False, sort_keys=False)
-    # print("Saved to integer_literal_tests.yaml")
-    
-    # Save as YAML
-    with open("cases.yaml", "w") as f:
-        yaml.dump(tests, f, default_flow_style=False, sort_keys=False)
-    
-    # Print first few tests as example
-    print("\nFirst 3 test cases:")
-    print(yaml.dump(tests[:3], default_flow_style=False, sort_keys=False))

SLS_Tests/generate_tests/utils.py

@@ -0,0 +1,45 @@
+
+from typing import List, Dict, Any, Optional
+from dataclasses import dataclass, asdict
+
+
+@dataclass
+class Token:
+    type: str
+    value: Any
+
+
+@dataclass
+class Operation:
+    function: str
+    type: str
+    value: Any
+
+
+@dataclass
+class StackItem:
+    type: str
+    value: Any
+
+
+@dataclass
+class RuntimeError:
+    message: str
+
+
+@dataclass
+class TestCase:
+    name: str
+    code: str
+    tokens: List[Dict[str, Any]]
+    operations: Optional[List[Dict[str, Any]]] = None
+    stack_final: Optional[List[Dict[str, Any]]] = None
+    runtime_error: Optional[Dict[str, str]] = None
+
+
+def to_dict(obj):
+    """Convert dataclass to dict, removing None values."""
+    if obj is None:
+        return None
+    d = asdict(obj) if hasattr(obj, '__dataclass_fields__') else obj
+    return {k: v for k, v in d.items() if v is not None}