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#  This program is free software; you can redistribute it and/or
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import bpy
from bpy.props import EnumProperty, IntProperty, FloatProperty
from mathutils import noise

from sverchok.node_tree import SverchCustomTreeNode
from sverchok.data_structure import updateNode
from sverchok.utils.sv_seed_funcs import get_offset, seed_adjusted
from sverchok.utils.sv_noise_utils import noise_options, PERLIN_ORIGINAL


def var_func(position, distortion, _noise_type1, _noise_type2):
    return noise.variable_lacunarity(position, distortion, noise_type1=_noise_type1, noise_type2=_noise_type2)


avail_noise = [(t[0], t[0].title(), t[0].title(), '', t[1]) for t in noise_options]


class SvLacunarityNode(SverchCustomTreeNode, bpy.types.Node):
    '''Variable lacunarity node.
    In: Vertices, Seed, Distortion
    Params: Type1, Type2 Blender/[Perlin]/Voronoi/Cellnoise
    Out: Value - Floats in the range -1.0 to 1.0A
    '''
    bl_idname = 'SvLacunarityNode'
    bl_label = 'Variable Lacunarity'
    bl_icon = 'FORCE_TURBULENCE'
    sv_icon = 'SV_VECTOR_LACUNARITY'

    noise_type1: EnumProperty(
        items=avail_noise,
        default=PERLIN_ORIGINAL,
        description="Noise type",
        update=updateNode)

    noise_type2: EnumProperty(
        items=avail_noise,
        default=PERLIN_ORIGINAL,
        description="Noise type",
        update=updateNode)

    distortion: FloatProperty(default=0.2, name="Distortion", update=updateNode, description="Accepts floats values, modulate the two noise basis")
    seed: IntProperty(default=0, name='Seed', update=updateNode)

    def sv_init(self, context):
        self.inputs.new('SvVerticesSocket', 'Vertices')
        self.inputs.new('SvStringsSocket', 'Seed').prop_name = 'seed'
        self.inputs.new('SvStringsSocket', 'Distrortion').prop_name = 'distortion'
        self.outputs.new('SvStringsSocket', 'Value')

    def draw_buttons(self, context, layout):
        layout.prop(self, 'noise_type1', text="Type")
        layout.prop(self, 'noise_type2', text="Type")

    def process(self):
        inputs, outputs = self.inputs, self.outputs

        if not outputs[0].is_linked:
            return

        out = []
        verts = inputs['Vertices'].sv_get(deepcopy=False)
        _seed = inputs['Seed'].sv_get()[0][0]
        _distortion = inputs['Distrortion'].sv_get()[0][0]

        for vert_list in verts:
            final_vert_list = seed_adjusted(vert_list, _seed)
            out.append([var_func(v, _distortion, self.noise_type1, self.noise_type2) for v in final_vert_list])

        outputs[0].sv_set(out)

    def draw_label(self):
        if self.hide:
            if not self.inputs['Seed'].is_linked:
                seed = ' + ({0})'.format(str(int(self.seed)))
            else:
                seed = ' + seed(s)'
            return self.noise_type1.title() + ' + ' + self.noise_type2.title() + seed
        else:
            return self.label or self.name


def register():
    bpy.utils.register_class(SvLacunarityNode)


def unregister():
    bpy.utils.unregister_class(SvLacunarityNode)
