ton of tests

This commit is contained in:
Skye Terran 2021-08-30 13:07:33 -07:00
parent 826a070a4f
commit 7798483d15
6 changed files with 363 additions and 215 deletions

169
README.md
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@ -40,164 +40,21 @@ Neutrino should have:
## Neutrino Alpha
- settings [dict]
- assets [dict]
*Defines properties relating to the on-disk assets referenced.*
- root_directory [string]
*The root directory/path which will be prepended to each of the file paths referenced. Setting this to "" will allow file paths to be absolute, but that's a terrible idea. Please don't do that.*
- units [dict]
*The unit systems used by this scene. Currently only length is relevant, but it's safer to keep this as a dictionary for future extensibility for other types of measurement.*
- length [string]
*The unit of measurement used by the scene ("centimeters", "meters", "feet", etc.)*
- axes [dict]
*Describes the handedness of the axes used in the scene (what the up/right/forward axes are)*
- up [string]
*Describes the up axis of the scene ("x", "-x", "y", "-y", "z", or "-z")*
- forward [string]
*Describes the right axis of the scene ("x", "-x", "y", "-y", "z", or "-z")*
- scene [dict]
*The hierarchy of objects in the scene, stored as a recursive tree of objects and their children.*
- {object name} [dict]
*The name of the object in the scene hierarchy is the same as its name in the objects dictionary which details its properties below.*
- transform [dict]
*The object's transform in the scene.*
- location [array]
*List declaring X, Y, Z location values.*
- rotation [array]
*List declaring X, Y, Z rotation values.*
- scale [array]
*List declaring X, Y, Z scale values.*
- children [dict]
*A named dictionary of the object's children.*
- {object name} [dict]
*A child object, following the same dictionary format as its parent (including its own children)*
- objects [dict]
*A dictionary of named objects in the scene, each containing their properties.*
- {object name} [dict]
*The name of the object in the scene.*
- type [string]
*The type of object ("null", "mesh", "spotlight", etc.)*
- properties [dict] [optional]
*Data specific to the object's type.*
- source_file [string] [optional] [used by: mesh]
*The relative file path of the source file for this object, for example: an FBX file for a mesh.*
- materials [array] [optional] [used by: mesh]
*List of the names of the materials applied to the mesh, in order of material assignment.*
- materials [dict]
*A list of named materials in the scene.*
- {material name} [dict]
- parameters [dict]
*A list of the material's parameters.*
- {parameter name} [string]
*The name of the material parameter.*
- type [string]
*The datatype of the parameter ("scalar", "vector", or "texture")*
- value [array or string]
*The value of the parameter, which depends on the parameter type:*
- *If it's a scalar: a float declaring the value.*
- *If it's a vector: an array of length 4 declaring RGBA values.*
- *If it's a texture: the relative file path of the texture map.*
### Example
```
{
"settings": {
"assets": {
"root_directory": "/"
},
"units": {
"length": "centimeters"
},
"axes": {
"up": "z",
"forward": "x"
},
},
"scene": {
"Light_Group": {
"transform": {...},
"children": {
"KeyLight": {...},
"FillLight": {...}
}
},
"LargeWindow": {
"transform": {
"location": [
88.61341857910156,
-0.7978610992431641,
4.113158702850342
],
"rotation": [
-45.0,
0.0,
89.9997
],
"scale": [
1.0,
1.0,
1.0
]
},
"children": {
"WindowHandle": {
"transform": {...},
"children": {...}
}
}
},
"MetalDoorframe": {
"transform": {...},
"children": {
"WoodDoor_Damaged": {...}
}
}
},
"objects": {
"Light_Group": {
"type": "null"
},
"KeyLight": {
"type": "spotlight",
"properties": {...}
},
"FillLight": {...},
"LargeWindow": {
"type": "mesh",
"properties": {
"source_file": "Meshes/SM_LargeWindow_A.obj",
"materials": [
"M_Windows"
]
}
},
"WindowHandle": {...},
"MetalDoorFrame": {...},
"WoodDoor_Damaged": {...}
},
"materials": {
"M_Windows": {
"parameters": {
"base_color": {
"type": "texture",
"value": "Textures/T_Windows_DiffColor.png"
},
"roughness": {
"type": "scalar",
"value": 0.23
},
"normal": {
"type": "vector",
"value": [
0.5,
0.5,
1.0,
1.0
]
}
}
}
}
@{
string,
float,
int
}
#{
2:"100"
}
*{
&0,
0:"Hello, world! Here's a bunch of special characters: @#*{},,/|,{{}#@*",
1:"512.0",
&0
}
```

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@ -1,29 +1,57 @@
{
"shape": [
[
"0",
"1"
],
[
"0",
"1"
],
[
"0",
"2"
],
[
"0",
"2"
],
[
"0",
"1"
]
"#0x0",
"#0x0",
"#0x1",
"#0x1",
"#0x0",
"#0x5",
"#0x5",
"#0xb",
"#0xe",
"#0xb",
"#0x10"
],
"memory": [
"float",
1.0,
3.0
3.0,
"name",
"TestObject",
"visible",
{
"#0x2": "#0x3",
"#0x4": "#0x0"
},
"position",
[
0.0,
0.0,
0.0
],
"rotation",
"scale",
[
1.0,
1.0,
1.0
],
{
"#0x6": "#0x7",
"#0x8": "#0x7",
"#0x9": "#0xa"
},
"transform",
"#0xb",
{
"#0x2": "#0x3",
"#0x4": "#0x0",
"#0xc": "#0xd"
},
"#0xe",
{
"#0x2": "#0x3",
"#0x4": "#0x0",
"#0xc": "#0xf"
}
]
}

170
python/NeutrinoParser.ipynb Normal file
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@ -0,0 +1,170 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 109,
"source": [
"# load up the test file\r\n",
"data = open(\"Test.neu\").read()\r\n",
"\r\n",
"# deal with newlines\r\n",
"data = data.split(\"\\n\")\r\n",
"for i, line in enumerate(data):\r\n",
" data[i] = line.strip()\r\n",
"data = \"\".join(data)\r\n",
"\r\n",
"data"
],
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'@{string,float,int}#{2:\"100\"}*{&0,0:\"Hello, world! :@#*\",1:\"512.0\",&0}'"
]
},
"metadata": {},
"execution_count": 109
}
],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 110,
"source": [
"cache = {\r\n",
" \"names\": [],\r\n",
" \"cache\": [],\r\n",
" \"objects\": []\r\n",
"}\r\n",
"\r\n",
"# parse a string entry according to its type and return a dict\r\n",
"def parse_entry(entry_type, entry_value):\r\n",
" # convert values to proper types as needed\r\n",
" if entry_type == \"float\":\r\n",
" converted_value = float(entry_value)\r\n",
" elif entry_type == \"int\":\r\n",
" converted_value = int(entry_value)\r\n",
" else:\r\n",
" converted_value = entry_value\r\n",
"\r\n",
" # return a dictionary of the parsed entry\r\n",
" return {\"type\": entry_type, \"value\": converted_value}\r\n",
"\r\n",
"# iterate through each character in the raw data and create a cache of parsed strings\r\n",
"stage = \"\"\r\n",
"entry_type = \"\"\r\n",
"entry_value = \"\"\r\n",
"consume = False\r\n",
"is_literal = False\r\n",
"is_reference = False\r\n",
"for char in data:\r\n",
" if char == '\"':\r\n",
" # enter/exit literal consumption (handle special characters in values)\r\n",
" is_literal = not is_literal\r\n",
" continue\r\n",
" # ignore special characters if they're within a literal value\r\n",
" if not is_literal:\r\n",
" if char == \"@\":\r\n",
" stage = \"names\"\r\n",
" continue\r\n",
" elif char == \"*\":\r\n",
" stage = \"objects\"\r\n",
" continue\r\n",
" elif char == \"#\":\r\n",
" stage = \"cache\"\r\n",
" continue\r\n",
" elif char == \"{\":\r\n",
" # start consuming at the start of each stage\r\n",
" consume = True\r\n",
" continue\r\n",
" elif char == \"}\":\r\n",
" # commit entry\r\n",
" if stage != \"names\":\r\n",
" cache[stage].append(parse_entry(entry_type, entry_value))\r\n",
" else:\r\n",
" cache[stage].append(entry_value)\r\n",
" entry_value = \"\"\r\n",
"\r\n",
" is_reference = False\r\n",
"\r\n",
" # stop consuming at the end of each stage\r\n",
" consume = False\r\n",
" elif char == \",\":\r\n",
" # commit entry\r\n",
" if stage != \"names\":\r\n",
" cache[stage].append(parse_entry(entry_type, entry_value))\r\n",
" else:\r\n",
" cache[stage].append(entry_value)\r\n",
" entry_value = \"\"\r\n",
" \r\n",
" is_reference = False\r\n",
"\r\n",
" continue\r\n",
" elif char == \":\":\r\n",
" # handle names/types\r\n",
" entry_type = cache[\"names\"][int(entry_value, base = 16)]\r\n",
" entry_value = \"\"\r\n",
" continue\r\n",
"\r\n",
" if consume:\r\n",
" # handle cache references\r\n",
" if entry_value == \"&\":\r\n",
" cached_object = cache[\"cache\"][int(char, base = 16)]\r\n",
" entry_type = cached_object[\"type\"]\r\n",
" entry_value = cached_object[\"value\"]\r\n",
" continue\r\n",
" else:\r\n",
" entry_value += char"
],
"outputs": [],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 111,
"source": [
"graph = cache[\"objects\"]"
],
"outputs": [],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 112,
"source": [
"# DEBUG\r\n",
"import json\r\n",
"with open(\"NeutrinoTest_Cache.json\", \"w\") as outfile:\r\n",
" json.dump(graph, outfile, indent = 4)"
],
"outputs": [],
"metadata": {}
}
],
"metadata": {
"orig_nbformat": 4,
"language_info": {
"name": "python",
"version": "3.7.8",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3.7.8 64-bit"
},
"interpreter": {
"hash": "57baa5815c940fdaff4d14510622de9616cae602444507ba5d0b6727c008cbd6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

View File

@ -0,0 +1,18 @@
[
{
"type": "int",
"value": 100
},
{
"type": "string",
"value": "Hello, world! Here's a bunch of special characters: @#*{},,/|,{{}#@*"
},
{
"type": "float",
"value": 512.0
},
{
"type": "int",
"value": 100
}
]

View File

@ -20,61 +20,122 @@
},
{
"cell_type": "code",
"execution_count": 37,
"execution_count": 98,
"source": [
"class DevourObject:\r\n",
" def __init__(self, type, value):\r\n",
" self.type = type\r\n",
" self.value = value\r\n",
"\r\n",
"class DevourGraph:\r\n",
"class Graph:\r\n",
" def __init__(self):\r\n",
" self.graph = []\r\n",
" self.cache = {\r\n",
" \"shape\": [],\r\n",
" \"memory\": []\r\n",
" }\r\n",
"\r\n",
" # adds a new object to the graph\r\n",
" def add(self, type, value):\r\n",
" self.graph.append(DevourObject(type, value))\r\n",
" def add(self, node):\r\n",
" # add to graph\r\n",
" self.graph.append(node)\r\n",
"\r\n",
" def redirect_node(self, node):\r\n",
" shape = self.cache[\"shape\"]\r\n",
" memory = self.cache[\"memory\"]\r\n",
"\r\n",
" # for dictionaries, add each member node\r\n",
" if type(node) == dict:\r\n",
" # cache keys and values\r\n",
" new_dict = {}\r\n",
" for key, value in node.items():\r\n",
" if type(value) == dict:\r\n",
" value = self.redirect_node(value)\r\n",
"\r\n",
" # add dict key to memory\r\n",
" if key not in memory:\r\n",
" memory.append(key)\r\n",
" key_index = \"#\" + hex(len(memory) - 1)\r\n",
" else:\r\n",
" key_index = \"#\" + hex(memory.index(key))\r\n",
"\r\n",
" # add dict value to memory\r\n",
" if value not in memory:\r\n",
" memory.append(value)\r\n",
" value_index = \"#\" + hex(len(memory) - 1)\r\n",
" else:\r\n",
" value_index = \"#\" + hex(memory.index(value))\r\n",
"\r\n",
" new_dict[key_index] = value_index\r\n",
"\r\n",
" # check if the dict is in memory already\r\n",
" if new_dict in memory:\r\n",
" node = \"#\" + hex(memory.index(new_dict))\r\n",
" else:\r\n",
" node = new_dict\r\n",
"\r\n",
" # redirect object to virtual memory\r\n",
" if type(node) == str:\r\n",
" is_pointer = node[0] == \"#\"\r\n",
" else:\r\n",
" is_pointer = False\r\n",
" \r\n",
" if not is_pointer:\r\n",
" if node not in memory:\r\n",
" memory.append(node)\r\n",
" value_pointer = \"#\" + hex(len(memory) - 1)\r\n",
" else:\r\n",
" value_pointer = \"#\" + hex(memory.index(node))\r\n",
"\r\n",
" # add a redirector to shape\r\n",
" shape.append(value_pointer)\r\n",
"\r\n",
" # return a pointer to the node\r\n",
" return \"#\" + hex(len(memory) - 1)\r\n",
"\r\n",
" # exports the graph as a single dictionary object\r\n",
" def serialize(self):\r\n",
" shape = []\r\n",
" memory = []\r\n",
"\r\n",
" # serialize DevourObject instances\r\n",
" for object in self.graph:\r\n",
" # redirect the type name to virtual memory\r\n",
" if object.type not in memory:\r\n",
" memory.append(object.type)\r\n",
" type_pointer = hex(len(memory) - 1)[2:]\r\n",
" else:\r\n",
" type_pointer = hex(memory.index(object.type))[2:]\r\n",
" \r\n",
" # redirect object to virtual memory\r\n",
" if object.value not in memory:\r\n",
" memory.append(object.value)\r\n",
" value_pointer = hex(len(memory) - 1)[2:]\r\n",
" else:\r\n",
" value_pointer = hex(memory.index(object.value))[2:]\r\n",
" for node in self.graph:\r\n",
" self.redirect_node(node)\r\n",
"\r\n",
" # add a redirector to shape\r\n",
" shape.append((type_pointer, value_pointer))\r\n",
"\r\n",
" return {\"shape\": shape, \"memory\": memory}"
" return self.cache"
],
"outputs": [],
"metadata": {}
},
{
"cell_type": "code",
"execution_count": 39,
"execution_count": 99,
"source": [
"# test\r\n",
"graph = DevourGraph()\r\n",
"graph.add(\"float\", 1.0)\r\n",
"graph.add(\"float\", 1.0)\r\n",
"graph.add(\"float\", 3.0)\r\n",
"graph.add(\"float\", 3.0)\r\n",
"graph.add(\"float\", 1.0)\r\n",
"graph = Graph()\r\n",
"graph.add(1.0)\r\n",
"graph.add(1.0)\r\n",
"graph.add(3.0)\r\n",
"graph.add(3.0)\r\n",
"graph.add(1.0)\r\n",
"graph.add({\r\n",
" \"name\": \"TestObject\",\r\n",
" \"visible\": True\r\n",
" })\r\n",
"graph.add({\r\n",
" \"name\": \"TestObject\",\r\n",
" \"visible\": True\r\n",
" })\r\n",
"graph.add({\r\n",
" \"name\": \"TestObject\",\r\n",
" \"visible\": True,\r\n",
" \"transform\": {\r\n",
" \"position\": [0.0, 0.0, 0.0],\r\n",
" \"rotation\": [0.0, 0.0, 0.0],\r\n",
" \"scale\": [1.0, 1.0, 1.0]\r\n",
" }\r\n",
" })\r\n",
"graph.add({\r\n",
" \"name\": \"TestObject\",\r\n",
" \"visible\": True,\r\n",
" \"transform\": {\r\n",
" \"position\": [0.0, 0.0, 0.0],\r\n",
" \"rotation\": [0.0, 0.0, 0.0],\r\n",
" \"scale\": [1.0, 1.0, 1.0]\r\n",
" }\r\n",
" })\r\n",
"\r\n",
"# write to disk\r\n",
"import json\r\n",

14
python/Test.neu Normal file
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@ -0,0 +1,14 @@
@{
string,
float,
int
}
#{
2:"100"
}
*{
&0,
0:"Hello, world! Here's a bunch of special characters: @#*{},,/|,{{}#@*",
1:"512.0",
&0
}