code: def plot_roc_curve(
      fpr,
      tpr,
      roc_auc=None,
      title=None,
      ax=None,
      figsize=None,
      style=None,
      **kwargs,
  ):
      """Plots a receiver operating characteristic (ROC) curve.
  
      Args:
          fpr: an array-like of false postive rates
          tpr: an array-like of true postive rates
          roc_auc (None): the area under the ROC curve
          title (None): a title for the plot
          ax (None): a matplotlib axis to plot in
          figsize (None): a ``(width, height)`` for the figure, in inches
          style (None): a style to use for the plot
          **kwargs: optional keyword arguments for matplotlib's ``plot()``
  
      Returns:
          a matplotlib figure
      """
      if style is None:
          style = _DEFAULT_STYLE
  
      if "color" not in kwargs:
          kwargs["color"] = _DEFAULT_LINE_COLOR
  
      with plt.style.context(style):
          display = skm.RocCurveDisplay(
              fpr=fpr, tpr=tpr, roc_auc=roc_auc
          )
          display.plot(ax=ax, **kwargs)
  
      fig = display.figure_
  
      if figsize is not None:
          fig.set_size_inches(*figsize)
  
      if title is not None:
          fig.suptitle(title)
  
      return fig
  
imports: import itertools
  import logging
  import numpy
  import matplotlib
  from matplotlib.widgets import Button, LassoSelector
  from matplotlib.path import Path
  import matplotlib.pyplot
  from mpl_toolkits.axes_grid1 import make_axes_locatable
  from mpl_toolkits.axes_grid1.inset_locator import InsetPosition
  from mpl_toolkits.mplot3d import Axes3D
  import sklearn.metrics.pairwise
  import sklearn.metrics
  import eta.core.utils
  import fiftyone.core.context
  import fiftyone.core.utils
  from .base import InteractivePlot
  from .utils import best_fit_line, load_button_icon, parse_lines_inputs, parse_locations, parse_scatter_inputs
label_desc: Use image node_id 5 for calling a global function with example usage: plot_roc_curve(fpr, tpr, roc_auc, title, ax, figsize, style) and returns: fig