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skills/test.example/README.md
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skills/test.example/README.md
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# test.example
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A simple test skill for validating the meta.create orchestrator workflow
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## Overview
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**Purpose:** A simple test skill for validating the meta.create orchestrator workflow
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**Command:** `/test/example`
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## Usage
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### Basic Usage
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```bash
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python3 skills/test/example/test_example.py
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```
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### With Arguments
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```bash
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python3 skills/test/example/test_example.py \
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--input_data_(string)_-_test_input_data "value" \
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--output-format json
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```
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## Inputs
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- **input_data (string) - Test input data**
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## Outputs
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- **output_result (string) - Processed result**
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## Artifact Metadata
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### Consumes
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- `test.input`
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### Produces
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- `test.result`
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## Examples
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- Process test data and produce test results
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- Validate meta.create orchestration workflow
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## Permissions
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- `filesystem:read`
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## Implementation Notes
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This is a minimal test skill to verify that meta.create can properly orchestrate the creation of skills, check for duplicates, and validate compatibility.
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## Integration
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This skill can be used in agents by including it in `skills_available`:
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```yaml
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name: my.agent
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skills_available:
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- test.example
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```
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## Testing
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Run tests with:
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```bash
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pytest skills/test/example/test_test_example.py -v
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```
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## Created By
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This skill was generated by **meta.skill**, the skill creator meta-agent.
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---
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*Part of the Betty Framework*
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1
skills/test.example/__init__.py
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skills/test.example/__init__.py
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# Auto-generated package initializer for skills.
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skills/test.example/skill.yaml
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skills/test.example/skill.yaml
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name: test.example
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version: 0.1.0
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description: A simple test skill for validating the meta.create orchestrator workflow
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inputs:
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- input_data (string) - Test input data
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outputs:
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- output_result (string) - Processed result
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status: active
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permissions:
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- filesystem:read
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entrypoints:
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- command: /test/example
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handler: test_example.py
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runtime: python
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description: A simple test skill for validating the meta.create orchestrator workflow
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artifact_metadata:
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produces:
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- type: test.result
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consumes:
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- type: test.input
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required: true
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skills/test.example/test_example.py
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skills/test.example/test_example.py
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#!/usr/bin/env python3
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"""
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test.example - A simple test skill for validating the meta.create orchestrator workflow
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Generated by meta.skill with Betty Framework certification
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"""
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import os
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import sys
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import json
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import yaml
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from pathlib import Path
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from typing import Dict, List, Any, Optional
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from betty.config import BASE_DIR
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from betty.logging_utils import setup_logger
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from betty.certification import certified_skill
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logger = setup_logger(__name__)
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class TestExample:
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"""
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A simple test skill for validating the meta.create orchestrator workflow
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"""
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def __init__(self, base_dir: str = BASE_DIR):
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"""Initialize skill"""
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self.base_dir = Path(base_dir)
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@certified_skill("test.example")
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def execute(self, input_data_string___test_input_data: Optional[str] = None) -> Dict[str, Any]:
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"""
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Execute the skill
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Returns:
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Dict with execution results
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"""
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try:
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logger.info("Executing test.example...")
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# TODO: Implement skill logic here
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# Implementation notes:
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# This is a minimal test skill to verify that meta.create can properly orchestrate the creation of skills, check for duplicates, and validate compatibility.
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# Placeholder implementation
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result = {
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"ok": True,
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"status": "success",
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"message": "Skill executed successfully"
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}
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logger.info("Skill completed successfully")
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return result
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except Exception as e:
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logger.error(f"Error executing skill: {e}")
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return {
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"ok": False,
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"status": "failed",
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"error": str(e)
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}
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def main():
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"""CLI entry point"""
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import argparse
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parser = argparse.ArgumentParser(
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description="A simple test skill for validating the meta.create orchestrator workflow"
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)
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parser.add_argument(
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"--input-data-string---test-input-data",
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help="input_data (string) - Test input data"
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)
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parser.add_argument(
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"--output-format",
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choices=["json", "yaml"],
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default="json",
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help="Output format"
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)
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args = parser.parse_args()
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# Create skill instance
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skill = TestExample()
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# Execute skill
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result = skill.execute(
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input_data_string___test_input_data=args.input_data_string___test_input_data,
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)
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# Output result
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if args.output_format == "json":
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print(json.dumps(result, indent=2))
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else:
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print(yaml.dump(result, default_flow_style=False))
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# Exit with appropriate code
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sys.exit(0 if result.get("ok") else 1)
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if __name__ == "__main__":
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main()
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62
skills/test.example/test_test_example.py
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skills/test.example/test_test_example.py
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#!/usr/bin/env python3
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"""
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Tests for test.example
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Generated by meta.skill
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"""
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import pytest
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import sys
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import os
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from pathlib import Path
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# Add parent directory to path
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
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from skills.test_example import test_example
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class TestTestExample:
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"""Tests for TestExample"""
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def setup_method(self):
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"""Setup test fixtures"""
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self.skill = test_example.TestExample()
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def test_initialization(self):
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"""Test skill initializes correctly"""
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assert self.skill is not None
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assert self.skill.base_dir is not None
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def test_execute_basic(self):
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"""Test basic execution"""
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result = self.skill.execute()
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assert result is not None
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assert "ok" in result
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assert "status" in result
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def test_execute_success(self):
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"""Test successful execution"""
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result = self.skill.execute()
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assert result["ok"] is True
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assert result["status"] == "success"
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# TODO: Add more specific tests based on skill functionality
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def test_cli_help(capsys):
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"""Test CLI help message"""
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sys.argv = ["test_example.py", "--help"]
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with pytest.raises(SystemExit) as exc_info:
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test_example.main()
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assert exc_info.value.code == 0
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captured = capsys.readouterr()
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assert "A simple test skill for validating the meta.create" in captured.out
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if __name__ == "__main__":
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pytest.main([__file__, "-v"])
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