How to use the colorcet.b_linear_bmw_5_95_c86 function in colorcet

}

# ## Add interpolated theme colors
#
# Interpolate from Rhino Dark to 0.5 of the way toward Black
# https://meyerweb.com/eric/tools/color-blend/#506784:000000:1:hex
plotly_clrs["Rhino Darker"] = "#283442"

# https://meyerweb.com/eric/tools/color-blend/#DFE8F3:EBF0F8:1:hex
plotly_clrs["Rhino Light 1.5"] = "#E5ECF6"

# Perceptually uniform colorscale that matches brand colors really well.
# Trim the upper and lower ends so that it doesn't go so close to black and
# white.  This makes the scale more visible on both white and black
# backgrounds
bmw_subset = cc.b_linear_bmw_5_95_c86[50:230]
linear_bmw_5_95_c86_n256 = [
    [i / (len(bmw_subset) - 1), clr]
    for i, clr in enumerate(bmw_subset)
    if i % 16 == 0 or i == (len(bmw_subset) - 1)
]


# Plasma colorscale
# -----------------
# Get this from plotly_express logic after integration
plasma_colors = [
    "#0d0887",
    "#46039f",
    "#7201a8",
    "#9c179e",
    "#bd3786",

}

# ## Add interpolated theme colors
#
# Interpolate from Rhino Dark to 0.5 of the way toward Black
# https://meyerweb.com/eric/tools/color-blend/#506784:000000:1:hex
plotly_clrs['Rhino Darker'] = '#283442'

# https://meyerweb.com/eric/tools/color-blend/#DFE8F3:EBF0F8:1:hex
plotly_clrs['Rhino Light 1.5'] = '#E5ECF6'

# Perceptually uniform colorscale that matches brand colors really well.
# Trim the upper and lower ends so that it doesn't go so close to black and
# white.  This makes the scale more visible on both white and black
# backgrounds
bmw_subset = cc.b_linear_bmw_5_95_c86[50:230]
linear_bmw_5_95_c86_n256 = [
    [i/(len(bmw_subset)-1), clr] for i, clr in enumerate(bmw_subset)
    if i % 16 == 0 or i == (len(bmw_subset)-1)]

jupyterlab_output_clr = 'rgb(17,17,17)'

plotly_diverging = [
        [0, '#8e0152'],
        [0.1, '#c51b7d'],
        [0.2, '#de77ae'],
        [0.3, '#f1b6da'],
        [0.4, '#fde0ef'],
        [0.5, '#f7f7f7'],
        [0.6, '#e6f5d0'],
        [0.7, '#b8e186'],
        [0.8, '#7fbc41'],