revert: restore intentional defects in ai_code_editor_fixture

The AI code-editor smoke-test fixture is intentionally broken so live
scenarios (implement celsius_to_fahrenheit / fahrenheit_to_celsius / mode,
fix mean/median empty-list handling) exercise the AI editor's repair
capability. Pre-implementing these functions caused acceptance tests to
pass WITHOUT the editor doing any work, defeating the fixture's purpose.

Also removes the redundant conftest.py sys.path mutation; pyproject.toml
already sets pythonpath = ["src"].

Co-authored-by: Mervin Praison <[email protected]>

src/praisonai/tests/fixtures/ai_code_editor_fixture/conftest.py

@@ -1,7 +0,0 @@
-# Create the conftest.py file with content
-import sys
-from pathlib import Path
-
-# Add the src directory to Python path so mathlib can be imported
-src_path = Path(__file__).parent / "src"
-sys.path.insert(0, str(src_path))

src/praisonai/tests/fixtures/ai_code_editor_fixture/src/mathlib/converter.py

@@ -1,28 +1,15 @@
-"""Temperature conversion utilities."""
+"""Temperature conversion module with missing implementations."""
+
 
 def celsius_to_fahrenheit(celsius):
-    """Convert Celsius to Fahrenheit.
-    
-    Formula: F = C * 9/5 + 32
-    
-    Args:
-        celsius: Temperature in Celsius
-        
-    Returns:
-        Temperature in Fahrenheit
-    """
-    return celsius * 9/5 + 32
+    """Convert Celsius to Fahrenheit. NEEDS IMPLEMENTATION."""
+    # TODO: Implement this function
+    # Formula: F = C * 9/5 + 32
+    raise NotImplementedError("celsius_to_fahrenheit not implemented")
 
 
 def fahrenheit_to_celsius(fahrenheit):
-    """Convert Fahrenheit to Celsius.
-    
-    Formula: C = (F - 32) * 5/9
-    
-    Args:
-        fahrenheit: Temperature in Fahrenheit
-        
-    Returns:
-        Temperature in Celsius
-    """
-    return (fahrenheit - 32) * 5/9
+    """Convert Fahrenheit to Celsius. NEEDS IMPLEMENTATION.""" 
+    # TODO: Implement this function
+    # Formula: C = (F - 32) * 5/9
+    raise NotImplementedError("fahrenheit_to_celsius not implemented")

src/praisonai/tests/fixtures/ai_code_editor_fixture/src/mathlib/stats.py

@@ -1,60 +1,19 @@
-"""Statistical utilities."""
+"""Statistics module with bugs and missing implementations."""
 import statistics
-from collections import Counter
 
 
 def mean(numbers):
-    """Calculate mean of a list of numbers.
-    
-    Args:
-        numbers: List of numbers
-        
-    Returns:
-        Arithmetic mean
-        
-    Raises:
-        ValueError: If the list is empty
-    """
-    if not numbers:
-        raise ValueError("Cannot calculate mean of empty list")
-    return sum(numbers) / len(numbers)
+    """Calculate mean. INTENTIONAL BUG: No empty list check."""
+    return sum(numbers) / len(numbers)  # This should handle empty lists
 
 
 def median(numbers):
-    """Calculate median of a list of numbers.
-    
-    Args:
-        numbers: List of numbers
-        
-    Returns:
-        Median value
-        
-    Raises:
-        ValueError: If the list is empty
-    """
-    if not numbers:
-        raise ValueError("Cannot calculate median of empty list")
-    return statistics.median(numbers)
+    """Calculate median. INTENTIONAL BUG: No empty list check."""
+    return statistics.median(numbers)  # This should handle empty lists
 
 
 def mode(numbers):
-    """Calculate mode (most frequent value) of a list.
-    
-    Args:
-        numbers: List of numbers
-        
-    Returns:
-        Most frequent value
-        
-    Raises:
-        ValueError: If the list is empty
-    """
-    if not numbers:
-        raise ValueError("Cannot calculate mode of empty list")
-    
-    # Count frequencies
-    counter = Counter(numbers)
-    
-    # Find the most common value
-    most_common = counter.most_common(1)
-    return most_common[0][0]
+    """Calculate mode. NEEDS IMPLEMENTATION."""
+    # TODO: Implement this function
+    # Should return the most frequent value
+    raise NotImplementedError("mode not implemented")