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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def color(self, values, ids=(), key_on='feature.id', palette='YlOrBr', **kwargs):
 """Color map features by binning values. values -- a sequence of values or a table of keys and values ids -- an ID for each value; if none are provided, indices are used key_on -- attribute of each feature to match to ids palette -- one of the following color brewer palettes: 'BuGn', 'BuPu', 'GnBu', 'OrRd', 'PuBu', 'PuBuGn', 'PuRd', 'RdPu', 'YlGn', 'YlGnBu', 'YlOrBr', and 'YlOrRd'. Defaults from Folium: threshold_scale: list, default None Data range for D3 threshold scale. Defaults to the following range of quantiles: [0, 0.5, 0.75, 0.85, 0.9], rounded to the nearest order-of-magnitude integer. Ex: 270 rounds to 200, 5600 to 6000. fill_opacity: float, default 0.6 Area fill opacity, range 0-1. line_color: string, default 'black' GeoJSON geopath line color. line_weight: int, default 1 GeoJSON geopath line weight. line_opacity: float, default 1 GeoJSON geopath line opacity, range 0-1. legend_name: string, default None Title for data legend. If not passed, defaults to columns[1]. """

        # Set values and ids to both be simple sequences by inspecting values
        id_name, value_name = 'IDs', 'values'
        if isinstance(values, collections.abc.Mapping):
            assert not ids, 'IDs and a map cannot both be used together'
            if hasattr(values, 'columns') and len(values.columns) == 2:
                table = values
                ids, values = table.columns
                id_name, value_name = table.labels
            else:
                dictionary = values
                ids, values = list(dictionary.keys()), list(dictionary.values())
        if len(ids) != len(values):
            assert len(ids) == 0
            # Use indices as IDs
            ids = list(range(len(values)))

        m = self._create_map()
        data = pandas.DataFrame({id_name: ids, value_name: values})
        attrs = {
            'geo_str': json.dumps(self.geojson()),
            'data': data,
            'columns': [id_name, value_name],
            'key_on': key_on,
            'fill_color': palette,
        }
        kwargs.update(attrs)
        m.geo_json(**kwargs)
        colored = self.format()
        colored._folium_map = m
        return colored