claude-flow-novice/.claude/skills/cfn-cerebras-coordinator/conversations/2025-12-10-py-v2-test-1733854200.json

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{
  "conversationId": "py-v2-test-1733854200-1765381404748",
  "metadata": {
    "agentId": "py-v2-test-1733854200",
    "feature": "Statistics calculator that computes mean, median, and mode from list of numbers",
    "filePath": "/tmp/cerebras-test-py-v2/stats.py",
    "contextFiles": [],
    "completedAt": "2025-12-10T15:43:26.197Z"
  },
  "conversation": [
    {
      "role": "system",
      "content": "You are a TDD expert. Follow Red-Green-Refactor strictly. Use Given/When/Then test structure. Generate ONLY code - no markdown code blocks, no explanations, just raw code."
    },
    {
      "role": "user",
      "content": "# TDD Red Phase: Write Failing Tests\n\n## Feature\nStatistics calculator that computes mean, median, and mode from list of numbers\n\n## Target Implementation File\n/tmp/cerebras-test-py-v2/stats.py\n\n## Context Files\n(none provided)\n\n## Requirements\n1. Write comprehensive tests using Given/When/Then structure\n2. Tests MUST fail initially (no implementation exists yet)\n3. Cover happy path AND edge cases\n4. Use appropriate test framework for the file type\n5. Include setup/teardown if needed\n6. **CRITICAL for TypeScript/JavaScript: Include ALL import statements at top of test file**\n7. **Import any functions/classes/helpers you use from the implementation file**\n8. **Example: `import { formatDate, Given, When, Then } from './filename';`**\n9. For Python: `from filename import function_name`\n10. For Rust: `use crate::module::function_name;` or inline mod\n\nIMPORTANT: Generate ONLY the test file content. No markdown code blocks, no explanations, just raw code.",
      "timestamp": "2025-12-10T15:43:24.749Z"
    },
    {
      "role": "assistant",
      "content": "\nimport unittest\nfrom stats import StatisticsCalculator\n\nclass TestStatisticsCalculator(unittest.TestCase):\n    def setUp(self):\n        self.calculator = StatisticsCalculator()\n    \n    def test_mean_with_positive_numbers(self):\n        # Given\n        numbers = [1, 2, 3, 4, 5]\n        expected = 3.0\n        \n        # When\n        result = self.calculator.mean(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mean_with_negative_numbers(self):\n        # Given\n        numbers = [-1, -2, -3, -4, -5]\n        expected = -3.0\n        \n        # When\n        result = self.calculator.mean(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mean_with_mixed_numbers(self):\n        # Given\n        numbers = [-2, 0, 2, 4]\n        expected = 1.0\n        \n        # When\n        result = self.calculator.mean(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mean_with_empty_list(self):\n        # Given\n        numbers = []\n        \n        # When & Then\n        with self.assertRaises(ValueError):\n            self.calculator.mean(numbers)\n    \n    def test_mean_with_single_number(self):\n        # Given\n        numbers = [42]\n        expected = 42.0\n        \n        # When\n        result = self.calculator.mean(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_median_odd_count(self):\n        # Given\n        numbers = [3, 1, 2]\n        expected = 2.0\n        \n        # When\n        result = self.calculator.median(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_median_even_count(self):\n        # Given\n        numbers = [1, 2, 3, 4]\n        expected = 2.5\n        \n        # When\n        result = self.calculator.median(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_median_unsorted_list(self):\n        # Given\n        numbers = [5, 2, 8, 1, 9]\n        expected = 5.0\n        \n        # When\n        result = self.calculator.median(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_median_with_empty_list(self):\n        # Given\n        numbers = []\n        \n        # When & Then\n        with self.assertRaises(ValueError):\n            self.calculator.median(numbers)\n    \n    def test_median_with_single_number(self):\n        # Given\n        numbers = [7]\n        expected = 7.0\n        \n        # When\n        result = self.calculator.median(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mode_single_mode(self):\n        # Given\n        numbers = [1, 2, 2, 3, 4]\n        expected = [2]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mode_multiple_modes(self):\n        # Given\n        numbers = [1, 1, 2, 2, 3, 4]\n        expected = [1, 2]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(sorted(result), sorted(expected))\n    \n    def test_mode_all_unique(self):\n        # Given\n        numbers = [1, 2, 3, 4, 5]\n        expected = [1, 2, 3, 4, 5]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(sorted(result), sorted(expected))\n    \n    def test_mode_with_empty_list(self):\n        # Given\n        numbers = []\n        \n        # When & Then\n        with self.assertRaises(ValueError):\n            self.calculator.mode(numbers)\n    \n    def test_mode_with_single_number(self):\n        # Given\n        numbers = [5]\n        expected = [5]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mode_with_negative_numbers(self):\n        # Given\n        numbers = [-1, -1, -2, -2, -2, -3]\n        expected = [-2]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mode_with_floats(self):\n        # Given\n        numbers = [1.5, 2.5, 1.5, 3.5, 1.5]\n        expected = [1.5]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)",
      "timestamp": "2025-12-10T15:43:25.721Z"
    },
    {
      "role": "user",
      "content": "# TDD Green Phase: Write Implementation\n\nThe tests you just wrote are now failing. Write the MINIMUM implementation to make them pass.\n\n## Test File Content\n```\nimport unittest\nfrom stats import StatisticsCalculator\n\nclass TestStatisticsCalculator(unittest.TestCase):\n    def setUp(self):\n        self.calculator = StatisticsCalculator()\n    \n    def test_mean_with_positive_numbers(self):\n        # Given\n        numbers = [1, 2, 3, 4, 5]\n        expected = 3.0\n        \n        # When\n        result = self.calculator.mean(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mean_with_negative_numbers(self):\n        # Given\n        numbers = [-1, -2, -3, -4, -5]\n        expected = -3.0\n        \n        # When\n        result = self.calculator.mean(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mean_with_mixed_numbers(self):\n        # Given\n        numbers = [-2, 0, 2, 4]\n        expected = 1.0\n        \n        # When\n        result = self.calculator.mean(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mean_with_empty_list(self):\n        # Given\n        numbers = []\n        \n        # When & Then\n        with self.assertRaises(ValueError):\n            self.calculator.mean(numbers)\n    \n    def test_mean_with_single_number(self):\n        # Given\n        numbers = [42]\n        expected = 42.0\n        \n        # When\n        result = self.calculator.mean(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_median_odd_count(self):\n        # Given\n        numbers = [3, 1, 2]\n        expected = 2.0\n        \n        # When\n        result = self.calculator.median(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_median_even_count(self):\n        # Given\n        numbers = [1, 2, 3, 4]\n        expected = 2.5\n        \n        # When\n        result = self.calculator.median(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_median_unsorted_list(self):\n        # Given\n        numbers = [5, 2, 8, 1, 9]\n        expected = 5.0\n        \n        # When\n        result = self.calculator.median(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_median_with_empty_list(self):\n        # Given\n        numbers = []\n        \n        # When & Then\n        with self.assertRaises(ValueError):\n            self.calculator.median(numbers)\n    \n    def test_median_with_single_number(self):\n        # Given\n        numbers = [7]\n        expected = 7.0\n        \n        # When\n        result = self.calculator.median(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mode_single_mode(self):\n        # Given\n        numbers = [1, 2, 2, 3, 4]\n        expected = [2]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mode_multiple_modes(self):\n        # Given\n        numbers = [1, 1, 2, 2, 3, 4]\n        expected = [1, 2]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(sorted(result), sorted(expected))\n    \n    def test_mode_all_unique(self):\n        # Given\n        numbers = [1, 2, 3, 4, 5]\n        expected = [1, 2, 3, 4, 5]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(sorted(result), sorted(expected))\n    \n    def test_mode_with_empty_list(self):\n        # Given\n        numbers = []\n        \n        # When & Then\n        with self.assertRaises(ValueError):\n            self.calculator.mode(numbers)\n    \n    def test_mode_with_single_number(self):\n        # Given\n        numbers = [5]\n        expected = [5]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mode_with_negative_numbers(self):\n        # Given\n        numbers = [-1, -1, -2, -2, -2, -3]\n        expected = [-2]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n    \n    def test_mode_with_floats(self):\n        # Given\n        numbers = [1.5, 2.5, 1.5, 3.5, 1.5]\n        expected = [1.5]\n        \n        # When\n        result = self.calculator.mode(numbers)\n        \n        # Then\n        self.assertEqual(result, expected)\n```\n\n## Target Implementation File\n/tmp/cerebras-test-py-v2/stats.py\n\n## Requirements\n1. Implement ONLY what the tests require\n2. Don't add extra features (YAGNI)\n3. Make all tests pass\n4. Follow existing code patterns from context\n5. **CRITICAL: Export all functions/classes that the tests import**\n6. **For TypeScript/JavaScript: use `export function name()` or `export { name }`**\n7. **For Python: functions are exported by default**\n8. **For Rust: use `pub fn name()` for public functions**\n\nIMPORTANT: Generate ONLY the implementation file content. No markdown code blocks, no explanations, just raw code.",
      "timestamp": "2025-12-10T15:43:25.721Z"
    },
    {
      "role": "assistant",
      "content": "\nfrom collections import Counter\n\nclass StatisticsCalculator:\n    def mean(self, numbers):\n        if not numbers:\n            raise ValueError(\"Cannot calculate mean of empty list\")\n        return sum(numbers) / len(numbers)\n    \n    def median(self, numbers):\n        if not numbers:\n            raise ValueError(\"Cannot calculate median of empty list\")\n        sorted_numbers = sorted(numbers)\n        n = len(sorted_numbers)\n        if n % 2 == 1:\n            return float(sorted_numbers[n // 2])\n        else:\n            return (sorted_numbers[n // 2 - 1] + sorted_numbers[n // 2]) / 2.0\n    \n    def mode(self, numbers):\n        if not numbers:\n            raise ValueError(\"Cannot calculate mode of empty list\")\n        counts = Counter(numbers)\n        max_count = max(counts.values())\n        modes = [num for num, count in counts.items() if count == max_count]\n        return modes",
      "timestamp": "2025-12-10T15:43:25.964Z"
    }
  ]
}