Fixed shader node and hierarchy pane optimization

addons/material_maker/engine/gen_base.gd

@@ -6,8 +6,7 @@ class_name MMGenBase
 Base class for texture generators, that defines their API
 """
 
-signal parameter_changed
-signal output_changed(index)
+signal parameter_changed(n, v)
 
 class InputPort:
 	var generator : MMGenBase = null
@@ -129,10 +128,10 @@ func notify_output_change(output_index : int) -> void:
 	var targets = get_targets(output_index)
 	for target in targets:
 		target.generator.source_changed(target.input_index)
-	emit_signal("output_changed", output_index)
+	emit_signal("parameter_changed", "__output_changed__", output_index)
 
-func source_changed(__) -> void:
-	emit_signal("parameter_changed", "__input_changed__", 0)
+func source_changed(input_index : int) -> void:
+	emit_signal("parameter_changed", "__input_changed__", input_index)
 	for i in range(get_output_defs().size()):
 		notify_output_change(i)
 

addons/material_maker/nodes/fbm.mmg

@@ -5,7 +5,7 @@
 		"y": 0
 	},
 	"parameters": {
-		"iterations": 2,
+		"iterations": 3,
 		"noise": 0,
 		"persistence": 0.5,
 		"scale_x": 4,
@@ -13,7 +13,7 @@
 	},
 	"shader_model": {
 		"code": "",
-		"global": "float fbm_value(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat p00 = rand(mod(o, size));\n\tfloat p01 = rand(mod(o + vec2(0.0, 1.0), size));\n\tfloat p10 = rand(mod(o + vec2(1.0, 0.0), size));\n\tfloat p11 = rand(mod(o + vec2(1.0, 1.0), size));\n\tvec2 t = f * f * (3.0 - 2.0 * f);\n\treturn mix(mix(p00, p10, t.x), mix(p01, p11, t.x), t.y);\n}\n\nfloat fbm_perlin(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat a00 = rand(mod(o, size)) * 6.28318530718;\n\tfloat a01 = rand(mod(o + vec2(0.0, 1.0), size)) * 6.28318530718;\n\tfloat a10 = rand(mod(o + vec2(1.0, 0.0), size)) * 6.28318530718;\n\tfloat a11 = rand(mod(o + vec2(1.0, 1.0), size)) * 6.28318530718;\n\tvec2 v00 = vec2(cos(a00), sin(a00));\n\tvec2 v01 = vec2(cos(a01), sin(a01));\n\tvec2 v10 = vec2(cos(a10), sin(a10));\n\tvec2 v11 = vec2(cos(a11), sin(a11));\n\tfloat p00 = dot(v00, f);\n\tfloat p01 = dot(v01, f - vec2(0.0, 1.0));\n\tfloat p10 = dot(v10, f - vec2(1.0, 0.0));\n\tfloat p11 = dot(v11, f - vec2(1.0, 1.0));\n\tvec2 t = f * f * (3.0 - 2.0 * f);\n\treturn 0.5 + mix(mix(p00, p10, t.x), mix(p01, p11, t.x), t.y);\n}\n\nfloat fbm_cellular(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = sqrt((f - node).x * (f - node).x + (f - node).y * (f - node).y);\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular2(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = sqrt((f - node).x * (f - node).x + (f - node).y * (f - node).y);\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n\nfloat fbm_cellular3(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = abs((f - node).x) + abs((f - node).y);\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular4(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = abs((f - node).x) + abs((f - node).y);\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n\nfloat fbm_cellular5(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = max(abs((f - node).x), abs((f - node).y));\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular6(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = max(abs((f - node).x), abs((f - node).y));\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n",
+		"global": "float fbm_value(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat p00 = rand(mod(o, size));\n\tfloat p01 = rand(mod(o + vec2(0.0, 1.0), size));\n\tfloat p10 = rand(mod(o + vec2(1.0, 0.0), size));\n\tfloat p11 = rand(mod(o + vec2(1.0, 1.0), size));\n\tvec2 t = f * f * (3.0 - 2.0 * f);\n\treturn mix(mix(p00, p10, t.x), mix(p01, p11, t.x), t.y);\n}\n\nfloat fbm_perlin(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat a00 = rand(mod(o, size)) * 6.28318530718;\n\tfloat a01 = rand(mod(o + vec2(0.0, 1.0), size)) * 6.28318530718;\n\tfloat a10 = rand(mod(o + vec2(1.0, 0.0), size)) * 6.28318530718;\n\tfloat a11 = rand(mod(o + vec2(1.0, 1.0), size)) * 6.28318530718;\n\tvec2 v00 = vec2(cos(a00), sin(a00));\n\tvec2 v01 = vec2(cos(a01), sin(a01));\n\tvec2 v10 = vec2(cos(a10), sin(a10));\n\tvec2 v11 = vec2(cos(a11), sin(a11));\n\tfloat p00 = dot(v00, f);\n\tfloat p01 = dot(v01, f - vec2(0.0, 1.0));\n\tfloat p10 = dot(v10, f - vec2(1.0, 0.0));\n\tfloat p11 = dot(v11, f - vec2(1.0, 1.0));\n\tvec2 t = f * f * (3.0 - 2.0 * f);\n\treturn 0.5 + mix(mix(p00, p10, t.x), mix(p01, p11, t.x), t.y);\n}\n\nfloat fbm_cellular(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = sqrt((f - node).x * (f - node).x + (f - node).y * (f - node).y);\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular2(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = sqrt((f - node).x * (f - node).x + (f - node).y * (f - node).y);\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n\nfloat fbm_cellular3(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size))*0.5 + vec2(x, y);\n\t\t\tfloat dist = abs((f - node).x) + abs((f - node).y);\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular4(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size))*0.5 + vec2(x, y);\n\t\t\tfloat dist = abs((f - node).x) + abs((f - node).y);\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n\nfloat fbm_cellular5(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = max(abs((f - node).x), abs((f - node).y));\n\t\t\tmin_dist = min(min_dist, dist);\n\t\t}\n\t}\n\treturn min_dist;\n}\n\nfloat fbm_cellular6(vec2 coord, vec2 size, float seed) {\n\tvec2 o = floor(coord)+rand2(vec2(float(seed), 1.0-float(seed)))+size;\n\tvec2 f = fract(coord);\n\tfloat min_dist1 = 2.0;\n\tfloat min_dist2 = 2.0;\n\tfor(float x = -1.0; x <= 1.0; x++) {\n\t\tfor(float y = -1.0; y <= 1.0; y++) {\n\t\t\tvec2 node = rand2(mod(o + vec2(x, y), size)) + vec2(x, y);\n\t\t\tfloat dist = max(abs((f - node).x), abs((f - node).y));\n\t\t\tif (min_dist1 > dist) {\n\t\t\t\tmin_dist2 = min_dist1;\n\t\t\t\tmin_dist1 = dist;\n\t\t\t} else if (min_dist2 > dist) {\n\t\t\t\tmin_dist2 = dist;\n\t\t\t}\n\t\t}\n\t}\n\treturn min_dist2-min_dist1;\n}\n",
 		"inputs": [
 
 		],

material_maker/preview/preview_2d.gd

@@ -41,6 +41,8 @@ func set_generator(g : MMGenBase, o : int = 0) -> void:
 			material.set_shader_param(k, source.textures[k])
 
 func on_parameter_changed(n : String, v) -> void:
+	if n == "__input_changed__":
+		set_generator(generator, output)
 	var p = generator.get_parameter_def(n)
 	if p.has("type"):
 		match p.type:

material_maker/widgets/graph_tree/hierarchy_pane.gd

@@ -25,7 +25,7 @@ func update_from_graph_edit(graph_edit) -> void:
 	update_index += 1
 	for g in item_from_gen.keys():
 		if is_instance_valid(g):
-			g.disconnect("output_changed", self, "on_gen_output_changed")
+			g.disconnect("parameter_changed", self, "on_gen_parameter_changed")
 	item_from_gen = {}
 	set_column_expand(0, true)
 	columns = preview+1
@@ -74,7 +74,7 @@ func fill_item(item : TreeItem, generator : MMGenGraph, selected : MMGenGraph, n
 		item.set_custom_color(0, Color(1, 1, 1))
 	item.set_metadata(0, generator)
 	item_from_gen[generator] = item
-	generator.connect("output_changed", self, "on_gen_output_changed", [ generator ])
+	generator.connect("parameter_changed", self, "on_gen_parameter_changed", [ generator ])
 	if preview > 0 and generator.get_output_defs().size() > 0:
 		for i in range(min(preview, generator.get_output_defs().size())):
 			item.set_icon(i+1, default_texture)
@@ -97,7 +97,11 @@ func on_view_updated(generator) -> void:
 	if item_from_gen.has(current_generator):
 		item_from_gen[current_generator].set_custom_color(0, Color(0.5, 0.5, 1))
 
-func on_gen_output_changed(index, generator) -> void:
+func on_gen_parameter_changed(param_name : String, index : int, generator) -> void:
+	if param_name == "__output_changed__":
+		on_gen_output_changed(index, generator)
+
+func on_gen_output_changed(index : int, generator) -> void:
 	if item_from_gen.has(generator) and index < preview:
 		if !pending_updates.has(generator):
 			pending_updates[generator] = [index]