code: def test_datetime_scale_limits():
      n = 6
  
      data = pd.DataFrame(
          {
              "x": [datetime(x, 1, 1) for x in range(2000, 2000 + n)],
              "y": range(n),
          }
      )
  
      p = (
          ggplot(data, aes("x", "y"))
          + geom_point()
          + lims(x=[datetime(2000, 1, 1), datetime(2007, 1, 1)])
          + theme(axis_text_x=element_text(angle=45))
      )
  
      assert p == "datetime_scale_limits"
  
imports: import warnings
  from datetime import datetime
  import numpy
  import numpy.testing
  import pandas
  import pytest
  import plotnine
  from plotnine import aes, annotate, element_text, expand_limits, facet_wrap, geom_bar, geom_col, geom_point, ggplot, lims, theme
  from plotnine.exceptions import PlotnineError, PlotnineWarning
  from plotnine.scales import scale_color, scale_color_manual, scale_identity, scale_manual, scale_xy
  from plotnine.scales.scale_alpha import scale_alpha_continuous, scale_alpha_discrete
  from plotnine.scales.scale_linetype import scale_linetype_continuous, scale_linetype_discrete
  from plotnine.scales.scale_manual import _scale_manual
  from plotnine.scales.scale_shape import scale_shape_continuous, scale_shape_discrete
  from plotnine.scales.scale_size import scale_size_area, scale_size_continuous, scale_size_discrete, scale_size_radius
  from plotnine.scales.scale_xy import scale_x_continuous, scale_x_discrete, scale_x_log10, scale_y_continuous
  from plotnine.scales.scales import make_scale
label_desc: Use image node_id 43 for calling a global function with example usage: test_datetime_scale_limits() without return types