648 lines
15 KiB
Plaintext
648 lines
15 KiB
Plaintext
import json
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import copy
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import math
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import numpy
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numpy.set_printoptions(suppress=True)
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def gen_id():
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new_id = 42
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while True:
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yield new_id
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new_id += 1
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def gen_y():
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y = 7
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while True:
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yield y
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y += 3
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new_id = gen_id()
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y_position = gen_y()
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new_nodes = {}
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shift_left = 32
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def set_transform(node, transform):
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x_axis = transform[0]
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y_axis = transform[1]
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# Assuming there is no vertical shear
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angle = math.atan2( x_axis[1], x_axis[0])
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(sin, cos) = math.sin(angle), math.cos(angle)
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scale_x = x_axis[0] / cos if math.fabs(cos) > 1e-10 else x_axis[1] / sin
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shear_x = (sin * y_axis[1] + cos * y_axis[0]) / (sin * sin * scale_x + cos * cos * scale_x);
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if not numpy.isfinite(shear_x):
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shear_x = 0.;
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scale_y = (y_axis[1] - scale_x * sin * shear_x) / cos if math.fabs(cos) > 1e-10 else (scale_x * cos * shear_x - y_axis[0]) / sin
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translation = transform[2][:2]
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node["inputs"][1] = {"Value": { "tagged_value": { "DVec2": [translation[0], translation[1]] }, "exposed": False}}
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node["inputs"][2] = {"Value": { "tagged_value": { "F32": angle }, "exposed": False}}
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node["inputs"][3] = {"Value": { "tagged_value": { "DVec2": [scale_x, scale_y] }, "exposed": False}}
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node["inputs"][4] = {"Value": { "tagged_value": { "DVec2": [shear_x, 0] }, "exposed": False}}
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node["inputs"][5] = {"Value": { "tagged_value": { "DVec2": [0,0] }, "exposed": False}}
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def to_transform(transform):
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mat = transform["matrix2"]
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translation = transform["translation"]
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return numpy.array([[mat[0], mat[1], 0], [mat[2], mat[3], 0], [translation[0], translation[1], 1]])
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def update_layer(layer, indent, layer_node_id, next_id, opacity):
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data = layer["data"]
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opacity = opacity * layer["opacity"]
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y = next(y_position)
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output = None
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if "Folder" in data:
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new_layer_ids = list(map(lambda x, _: x, new_id, data["Folder"]["layers"]))
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output = new_layer_ids[0]
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insert_transform = "transform" in layer and (numpy.identity(3) != to_transform(layer["transform"])).any()
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if insert_transform:
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node = {
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"name": "Transform",
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"implementation": {"Unresolved":{"name": "graphene_core::transform::TransformNode<_, _, _, _, _, _>"}},
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"manual_composition":{"Concrete":{"name":"graphene_core::transform::Footprint","size":72,"align":8}},
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"metadata": {"position": [-indent-8,y]},
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"skip_deduplication": False,
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"path": None,
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"manual_composition": {"Concrete": {"name": "graphene_core::transform::Footprint","size": 72,"align": 8}},
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"inputs":[{"Node":{"node_id":output,"output_index":0,"lambda":False}}, None, None, None, None, None]
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}
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transform_id = next(new_id)
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new_nodes[str(transform_id)] = node
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output = transform_id
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set_transform(node, to_transform(layer["transform"]))
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indent += 8
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for index, layer in enumerate(reversed(data["Folder"]["layers"])):
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next_index = None
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if index +1 < len(new_layer_ids):
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next_index = new_layer_ids[index+1]
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update_layer(layer, indent + 5, new_layer_ids[index], next_index, opacity)
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if insert_transform:
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indent -= 8
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if "Layer" in data:
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network = data["Layer"]["network"]
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nodes = set(filter(lambda old_id: network["nodes"][old_id]["name"] != "Output", set(network["nodes"])))
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new_ids = dict(zip(map(lambda id: int(id), nodes), new_id))
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output_node = network["nodes"][str(network["outputs"][0]["node_id"])]
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shift_left = output_node["metadata"]["position"][0]
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output = new_ids[int(output_node["inputs"][0]["Node"]["node_id"])]
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for old_id in nodes:
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node = network["nodes"][old_id]
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for node_input in node["inputs"]:
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if "Node" in node_input:
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node_input["Node"]["node_id"] = new_ids[node_input["Node"]["node_id"]]
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if node["name"] == "Transform":
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node["implementation"]={"Unresolved":{"name": "graphene_core::transform::TransformNode<_, _, _, _, _, _>"}}
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node["manual_composition"]={"Concrete":{"name":"graphene_core::transform::Footprint","size":72,"align":8}}
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if node["name"] == "Shape":
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if not any(map(lambda x: network["nodes"][x]["name"] == "Cull", nodes)):
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node["metadata"]["position"][1] = y
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node["metadata"]["position"][0] -= shift_left + 8 + indent
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if opacity != 1:
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node["metadata"]["position"][0] -= 8
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shape = next(new_id)
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cull = next(new_id)
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new_nodes[str(shape)] = copy.deepcopy(node)
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node["name"] = "Cull"
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node["inputs"] = [{"Node":{"node_id":shape,"output_index":0,"lambda":False}}]
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node["manual_composition"] = {"Concrete":{"name":"graphene_core::transform::Footprint","size":72,"align":8}}
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node["has_primary_output"] = True
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node["implementation"] = {"Unresolved":{"name":"graphene_core::transform::CullNode<_>"}}
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if opacity != 1:
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node["metadata"]["position"][0] += 8
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new_nodes[str(cull)] = copy.deepcopy(node)
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node["name"] = "Opacity"
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node["inputs"] = [{"Node":{"node_id":cull,"output_index":0,"lambda":False}}, {"Value":{"tagged_value":{"F32":opacity * 100},"exposed":False}}]
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node["manual_composition"] = None
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node["has_primary_output"] = True
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node["implementation"] = {"Unresolved":{"name":"graphene_core::raster::OpacityNode<_>"}}
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node["metadata"]["position"][0] += 8 + shift_left + indent
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node["metadata"]["position"][1] = y
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node["metadata"]["position"][0] -= shift_left + indent
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new_nodes[str(new_ids[int(old_id)])] = node
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assert(output == None or str(output) in new_nodes)
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node_to_input = lambda node_id: {"Node": {"node_id": node_id,"output_index": 0,"lambda": False}} if node_id else {"Value":{"tagged_value":{"GraphicGroup":{"elements":[],"opacity":1.0,"transform":[1.0,0.0,0.0,1.0,0.0,0.0]}},"exposed":True}}
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node = {
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"name": "Layer",
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"inputs": [
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node_to_input(output),
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{
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"Value": {
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"tagged_value": {
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"String": layer["name"] or "Untitled"
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},
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"exposed": False
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}
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},
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{
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"Value": {
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"tagged_value": {
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"BlendMode": layer["blend_mode"]
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},
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"exposed": False
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}
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},
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{
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"Value": {
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"tagged_value": {
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"F32": 100.0
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},
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"exposed": False
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}
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},
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{
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"Value": {
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"tagged_value": {
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"Bool": True
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},
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"exposed": False
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}
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},
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{
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"Value": {
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"tagged_value": {
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"Bool": False
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},
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"exposed": False
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}
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},
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{
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"Value": {
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"tagged_value": {
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"Bool": False
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},
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"exposed": False
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}
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},
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node_to_input(next_id)
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],
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"manual_composition": None,
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"has_primary_output": True,
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"implementation": {
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"Network": {
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"inputs": [
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0,
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2,
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2,
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2,
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2,
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2,
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2,
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2
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],
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"outputs": [
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{
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"node_id": 2,
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"node_output_index": 0
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}
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],
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"nodes": {
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"1": {
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"name": "Monitor",
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"inputs": [
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{
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"Node": {
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"node_id": 0,
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"output_index": 0,
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"lambda": False
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}
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}
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],
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"manual_composition": {
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"Concrete": {
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"name": "graphene_core::transform::Footprint",
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"size": 72,
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"align": 8
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}
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},
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"has_primary_output": True,
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"implementation": {
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"Unresolved": {
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"name": "graphene_core::memo::MonitorNode<_, _, _>"
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}
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},
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"metadata": {
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"position": [
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0,
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0
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]
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},
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"skip_deduplication": True,
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"world_state_hash": 0,
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"path": None
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},
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"2": {
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"name": "ConstructLayer",
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"inputs": [
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{
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"Node": {
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"node_id": 1,
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"output_index": 0,
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"lambda": False
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}
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},
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{
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"Network": {
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"Fn": [
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{
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"Concrete": {
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"name": "graphene_core::transform::Footprint",
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"size": 72,
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"align": 8
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}
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},
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{
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"Concrete": {
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"name": "graphene_core::graphic_element::GraphicGroup",
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"size": 12,
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"align": 4
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}
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}
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]
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}
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}
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],
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"manual_composition": {
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"Concrete": {
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"name": "graphene_core::transform::Footprint",
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"size": 72,
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"align": 8
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}
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},
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"has_primary_output": True,
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"implementation": {
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"Unresolved": {
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"name": "graphene_core::ConstructLayerNode<_, _, _, _, _, _, _, _>"
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}
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},
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"metadata": {
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"position": [
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0,
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0
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]
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},
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"skip_deduplication": False,
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"world_state_hash": 0,
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"path": None
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},
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"0": {
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"name": "To Graphic Element",
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"inputs": [
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{
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"Network": {
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"Generic": "T"
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}
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}
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],
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"manual_composition": None,
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"has_primary_output": True,
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"implementation": {
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"Unresolved": {
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"name": "graphene_core::ToGraphicElementData"
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}
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},
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"metadata": {
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"position": [
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0,
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0
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]
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},
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"skip_deduplication": False,
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"world_state_hash": 0,
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"path": None
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}
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},
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"disabled": [],
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"previous_outputs": None
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}
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},
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"metadata": {
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"position": [
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-indent,
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y
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]
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},
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"skip_deduplication": False,
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"world_state_hash": 0,
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"path": None
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}
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new_nodes[str(layer_node_id)] = node
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def migrate(name, new_name):
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global new_id, new_id ,y_position, new_nodes
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new_id = gen_id()
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y_position = gen_y()
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new_nodes = {}
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with open(name) as f:
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document = json.load(f)
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layer = document["document_legacy"]["root"]
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data = layer["data"]
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new_layer_ids = list(map(lambda x, _: x, new_id, data["Folder"]["layers"]))
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for index, layer in enumerate(reversed(data["Folder"]["layers"])):
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next_index = None
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if index + 1 < len(new_layer_ids):
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next_index = new_layer_ids[index+1]
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update_layer(layer, 5, new_layer_ids[index], next_index, 1)
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new_nodes["0"] = {
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"name": "Output",
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"inputs": [
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{
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"Node": {
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"node_id": 42,
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"output_index": 0,
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"lambda": False
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}
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},
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{
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"Network": {
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"Concrete": {
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"name": "graphene_core::application_io::EditorApi<graphene_std::wasm_application_io::WasmApplicationIo>",
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"size": 176,
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"align": 8
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}
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}
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}
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],
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"manual_composition": None,
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"has_primary_output": True,
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"implementation": {
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"Network": {
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"inputs": [
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3,
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0
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],
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"outputs": [
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{
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"node_id": 3,
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"node_output_index": 0
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}
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],
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"nodes": {
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"1": {
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"name": "Create Canvas",
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"inputs": [
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{
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"Node": {
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"node_id": 0,
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"output_index": 0,
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"lambda": False
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}
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}
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],
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"manual_composition": None,
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"has_primary_output": True,
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"implementation": {
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"Unresolved": {
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"name": "graphene_std::wasm_application_io::CreateSurfaceNode"
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}
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},
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"metadata": {
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"position": [
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0,
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0
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]
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},
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"skip_deduplication": True,
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"world_state_hash": 0,
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"path": None
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},
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"3": {
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"name": "RenderNode",
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"inputs": [
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{
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"Node": {
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"node_id": 0,
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"output_index": 0,
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"lambda": False
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}
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},
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{
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"Network": {
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"Fn": [
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{
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"Concrete": {
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"name": "graphene_core::transform::Footprint",
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"size": 72,
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"align": 8
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}
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},
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{
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"Generic": "T"
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}
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]
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}
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},
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{
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"Node": {
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"node_id": 2,
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"output_index": 0,
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"lambda": False
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}
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}
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],
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"manual_composition": None,
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"has_primary_output": True,
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"implementation": {
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"Unresolved": {
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"name": "graphene_std::wasm_application_io::RenderNode<_, _, _>"
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}
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},
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"metadata": {
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"position": [
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0,
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0
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]
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},
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"skip_deduplication": False,
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"world_state_hash": 0,
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"path": None
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},
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"2": {
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"name": "Cache",
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"inputs": [
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{
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"Node": {
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"node_id": 1,
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"output_index": 0,
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"lambda": False
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}
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}
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],
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"manual_composition": {
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"Concrete": {
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"name": "()",
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"size": 0,
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"align": 1
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}
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},
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"has_primary_output": True,
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"implementation": {
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"Unresolved": {
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"name": "graphene_core::memo::MemoNode<_, _>"
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}
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},
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"metadata": {
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"position": [
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0,
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0
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]
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},
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"skip_deduplication": False,
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"world_state_hash": 0,
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"path": None
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},
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"0": {
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"name": "EditorApi",
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"inputs": [
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{
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"Network": {
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"Concrete": {
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"name": "graphene_core::application_io::EditorApi<graphene_std::wasm_application_io::WasmApplicationIo>",
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"size": 176,
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"align": 8
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}
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}
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}
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],
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"manual_composition": None,
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"has_primary_output": True,
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"implementation": {
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"Unresolved": {
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"name": "graphene_core::ops::IdentityNode"
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}
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},
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"metadata": {
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"position": [
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0,
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0
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]
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},
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"skip_deduplication": False,
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"world_state_hash": 0,
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"path": None
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}
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},
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"disabled": [],
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"previous_outputs": None
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}
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},
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"metadata": {
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"position": [
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8,
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4
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]
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},
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"skip_deduplication": False,
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"world_state_hash": 0,
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"path": None
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}
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document = {
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"document_legacy": {
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"root": {
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"visible": True,
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"name": None,
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"data": {
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"Folder": {
|
|
"next_assignment_id": 0,
|
|
"layer_ids": [],
|
|
"layers": []
|
|
}
|
|
},
|
|
"transform": {
|
|
"matrix2": [
|
|
1.0,
|
|
0.0,
|
|
0.0,
|
|
1.0
|
|
],
|
|
"translation": [
|
|
0.0,
|
|
0.0
|
|
]
|
|
},
|
|
"preserve_aspect": True,
|
|
"pivot": [
|
|
0.5,
|
|
0.5
|
|
],
|
|
"blend_mode": "Normal",
|
|
"opacity": 1.0
|
|
},
|
|
"document_network": {
|
|
"inputs": [],
|
|
"outputs": [
|
|
{
|
|
"node_id": 0,
|
|
"node_output_index": 0
|
|
}
|
|
],
|
|
"nodes": new_nodes,
|
|
"disabled": [],
|
|
"previous_outputs": None
|
|
},
|
|
"commit_hash": "ef46080400bc6c4e069765dd2127306abbc9a94b"
|
|
},
|
|
"saved_document_identifier": 0,
|
|
"auto_saved_document_identifier": 0,
|
|
"name": "Untitled Document 10",
|
|
"version": "0.0.18",
|
|
"document_mode": "DesignMode",
|
|
"view_mode": "Normal",
|
|
"overlays_visible": True,
|
|
"layer_metadata": [],
|
|
"layer_range_selection_reference": None,
|
|
"navigation_handler": {
|
|
"pan": [
|
|
82.0,
|
|
84.0
|
|
],
|
|
"tilt": 0.0,
|
|
"zoom": 1.0,
|
|
"transform_operation": "None",
|
|
"mouse_position": [
|
|
389.0,
|
|
507.0
|
|
],
|
|
"finish_operation_with_click": False
|
|
},
|
|
"properties_panel_message_handler": {
|
|
"active_selection": None
|
|
}
|
|
}
|
|
|
|
|
|
with open(new_name, "w+") as f:
|
|
json.dump(document, f, indent="\t")
|
|
|
|
migrate("just-a-potted-cactus.graphite","migrated_just_a_potted_cactus.graphite")
|
|
migrate("valley-of-spires.graphite","migrated_valley_of_spires.graphite")
|