"Implement Suggestions for Resolution of Issue #32 - Fixes #32"

Python Coding Interview Questions And Answers Fixed.py

@@ -1,37 +1,84 @@
-import numpy as np  # Import NumPy for efficient arrays (habit for numerical tasks)
-
 def debug_script(filename):  # Reusable debugging function with clear naming
     """Starts the Python debugger for the given script."""
     import pdb  # Import pdb for debugging
-    pdb.runfile(filename)  # Concise way to start debugging
+    with open(filename) as f:
+        code = compile(f.read(), filename, 'exec')
+        pdb.run(code)  # Standard way to debug code
 
-def days_generator(start_index=0):  # Generator function for day names
-    """Yields day names sequentially, starting from the given index."""
-    days = ['S', 'M', 'T', 'W', 'Tr', 'F', 'St']
+def days_generator(start_index=0):
+    """Yields day names sequentially, starting from the given index.
+
+    Args:
+        start_index (int): Starting index in the days list (0=Sunday)
+
+    Returns:
+        generator: Yields day names as strings
+
+    Example:
+        >>> gen = days_generator(2)  # Start from Tuesday
+        >>> next(gen)
+        'Tue'
+    """
+    days = ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat']
     for day in days[start_index:]:
         yield day
 
-def list_to_string(data):  # Function to handle various data types
-    """Converts a list, tuple, or set to a string with spaces between elements."""
+def list_to_string(data):
+    """Converts a list, tuple, or set to a string with spaces between elements.
+
+    Args:
+        data: Input collection (list, tuple, or set) to be converted
+
+    Returns:
+        str: Space-separated string of elements
+
+    Raises:
+        TypeError: If input is not a list, tuple, or set
+    """
     if isinstance(data, (list, tuple, set)):
-        return ' '.join(data)
-    raise TypeError("Input must be a list, tuple, or set")  # Handle invalid input
+        return ' '.join(str(x) for x in data)
+    raise TypeError(f"Expected list, tuple, or set, but got {type(data).__name__}")
 
-def count_occurrences(data, element):  # Function for counting occurrences
-    """Counts the number of times 'element' appears in 'data' (list or tuple)."""
+def count_occurrences(data, element):
+    """Counts the number of times an element appears in a sequence.
+
+    Args:
+        data: Input sequence (list or tuple) to search in
+        element: The element to count occurrences of
+
+    Returns:
+        int: Number of occurrences of element in data
+
+    Raises:
+        TypeError: If data is not a list or tuple
+    """
     if not isinstance(data, (list, tuple)):
-        raise TypeError("Input must be a list or tuple")
+        raise TypeError(f"Expected list or tuple, but got {type(data).__name__}")
     return data.count(element)
 
 def create_numpy_array(data):  # Function for array creation (flexible for different data types)
-    """Creates a NumPy array from a list, tuple, or even another NumPy array."""
-    return np.array(data)
+    """Creates a NumPy array from a list, tuple, or even another NumPy array.
+
+    Args:
+        data: Input data that can be converted to a numpy array
+
+    Returns:
+        numpy.ndarray: A numpy array containing the input data
+
+    Raises:
+        ImportError: If numpy is not installed
+    """
+    try:
+        import numpy as np
+        return np.array(data)
+    except ImportError:
+        raise ImportError("NumPy is required for this function. Install it using 'pip install numpy'")
 
-# Example usage (can be refactored into a more modular structure if needed)
-day_gen = days_generator(2)  # Get day names starting from index 2 (Wednesday)
+# Example usage
+day_gen = days_generator(2)  # Get day names starting from index 2 (Tuesday)
 print(next(day_gen))  # Print the first day
 
-weekdays = ['M', 'W', 'F']
+weekdays = ['Mon', 'Wed', 'Fri']
 print(list_to_string(weekdays))  # Print weekdays as a string
 
 my_list = [1, 2, 2, 3, 4]