code: def _apply_transforms(self, element, ranges, style):
      new_style = dict(style)
      for k, v in dict(style).items():
          if isinstance(v, str):
              if k == "marker" and v in "xsdo":
                  continue
              elif v in element:
                  v = dim(v)
              elif any(d == v for d in self.overlay_dims):
                  v = dim(next(d for d in self.overlay_dims if d == v))
  
          if not isinstance(v, dim):
              continue
          elif (
              not v.applies(element)
              and v.dimension not in self.overlay_dims
          ):
              new_style.pop(k)
              self.param.warning(
                  "Specified {} dim transform {!r} could not be applied, as not all "
                  "dimensions could be resolved.".format(k, v)
              )
              continue
  
          if len(v.ops) == 0 and v.dimension in self.overlay_dims:
              val = self.overlay_dims[v.dimension]
          else:
              val = v.apply(element, ranges=ranges, flat=True)
  
          if (
              not util.isscalar(val)
              and len(util.unique_array(val)) == 1
              and "color" not in k
          ):
              val = val[0]
  
          if not util.isscalar(val):
              if k in self._nonvectorized_styles:
                  element = type(element).__name__
                  raise ValueError(
                      'Mapping a dimension to the "{style}" '
                      "style option is not supported by the "
                      "{element} element using the {backend} "
                      'backend. To map the "{dim}" dimension '
                      "to the {style} use a groupby operation "
                      "to overlay your data along the dimension.".format(
                          style=k,
                          dim=v.dimension,
                          element=element,
                          backend=self.renderer.backend,
                      )
                  )
  
          # If color is not valid colorspec add colormapper
          numeric = (
              isinstance(val, np.ndarray) and val.dtype.kind in "uifMm"
          )
          if "color" in k and isinstance(val, np.ndarray) and numeric:
              copts = self.get_color_opts(v, element, ranges, style)
              new_style.pop("cmap", None)
              new_style.update(copts)
          new_style[k] = val
      return new_style
  
imports: import re
  import uuid
  import numpy
  import param
  from ...None import Tiles
  from ...core import util
  from ...core.element import Element
  from ...core.spaces import DynamicMap
  from ...streams import Stream
  from ...util.transform import dim
  from ..plot import GenericElementPlot, GenericOverlayPlot
  from ..util import dim_range_key
  from .plot import PlotlyPlot
  from .util import STYLE_ALIASES, get_colorscale, legend_trace_types, merge_figure, merge_layout
label_desc: Use image node_id 10 for calling the ElementPlot obj's underlying member method code with example usage: obj._apply_transforms(element, ranges, style) and returns: new_style