1. def array_transformer(data, transform_type):
  2. """
  3. Transforms array data based on the specified type.
  5. Args:
  6. data (list or array-like): The input array data.
  7. transform_type (str): The type of transformation to apply.
  8. Valid options: "sum", "average", "max", "min", "reverse".
  10. Returns:
  11. The transformed data, or None if invalid input or transform type.
  12. """
  14. if not isinstance(data, (list, tuple, set)):
  15. print("Error: Input data must be a list, tuple, or set.")
  16. return None
  18. if not data:
  19. print("Error: Input data cannot be empty.")
  20. return None
  22. try:
  23. data = [float(x) for x in data] # Convert elements to float for calculations.
  24. except ValueError:
  25. print("Error: Input data elements must be convertible to numbers.")
  26. return None
  28. if transform_type == "sum":
  29. return sum(data)
  30. elif transform_type == "average":
  31. return sum(data) / len(data)
  32. elif transform_type == "max":
  33. return max(data)
  34. elif transform_type == "min":
  35. return min(data)
  36. elif transform_type == "reverse":
  37. return data[::-1] # Create reversed copy.
  38. else:
  39. print("Error: Invalid transform type. Valid options are 'sum', 'average', 'max', 'min', 'reverse'.")
  40. return None
  42. if __name__ == '__main__':
  43. # Example Usage (manual execution)
  44. arr1 = [1, 2, 3, 4, 5]
  45. print(f"Original array: {arr1}")
  47. # Sum
  48. sum_result = array_transformer(arr1, "sum")
  49. print(f"Sum: {sum_result}")
  51. # Average
  52. avg_result = array_transformer(arr1, "average")
  53. print(f"Average: {avg_result}")
  55. # Max
  56. max_result = array_transformer(arr1, "max")
  57. print(f"Max: {max_result}")
  59. # Min
  60. min_result = array_transformer(arr1, "min")
  61. print(f"Min: {min_result}")
  63. # Reverse
  64. reverse_result = array_transformer(arr1, "reverse")
  65. print(f"Reversed: {reverse_result}")
  67. # Error Handling Examples
  68. print(array_transformer("hello", "sum")) # Invalid data type
  69. print(array_transformer([], "sum")) # Empty array
  70. print(array_transformer([1, "a", 3], "sum")) # Non-numeric data
  71. print(array_transformer(arr1, "invalid_type")) # Invalid transform type

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