input: Write a python function to create a line plot using matplotlib and customize it with specific attributes.
  ```python
  def create_custom_line_plot(x, y, title, xlabel, ylabel, color, marker, linestyle, linewidth, markersize):
      import matplotlib.pyplot as plt
      fig = plt.figure(figsize=(10,6))
      plt.plot(x, y, color=color, marker=marker, linestyle=linestyle, linewidth=linewidth, markersize=markersize)
      plt.title(title)
      plt.xlabel(xlabel)
      plt.ylabel(ylabel)
      plt.show()
  
  assert create_custom_line_plot([1, 2, 3, 4, 5], [10, 25, 30, 50, 80], "My Data Visualization Dashboard", 'X-axis', 'Y-axis', 'green', 'o', 'dashed', 2, 12) == None
  assert create_custom_line_plot([1, 2, 3], [1, 4, 9], "Sample Plot", 'Index', 'Square Value', 'red', '^', 'solid', 1, 10) == None
  assert create_custom_line_plot([0, 1, 2], [0, 1, 4], "Another Sample Plot", 'Index', 'Square', 'blue', 's', 'dashdot', 3, 8) == None
output: def create_custom_line_plot(x, y, title, xlabel, ylabel, color, marker, linestyle, linewidth, markersize):
      import matplotlib.pyplot as plt
      fig = plt.figure(figsize=(10,6))
      plt.plot(x, y, color=color, marker=marker, linestyle=linestyle, linewidth=linewidth, markersize=markersize)
      plt.title(title)
      plt.xlabel(xlabel)
      plt.ylabel(ylabel)
      plt.show()