Implemented SPORC cache
This commit is contained in:
parent
60b94a426f
commit
6249803b0f
@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 157,
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"source": [
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"import json\r\n",
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"\r\n",
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@ -20,8 +20,8 @@
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" \"assets\": {}\r\n",
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" },\r\n",
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" \"internal\": {\r\n",
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" \"max_object_key\": 0,\r\n",
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" \"max_cache_key\": 0\r\n",
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" \"max_object_key\": {\"index\": 0},\r\n",
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" \"max_cache_key\": {\"index\": 0}\r\n",
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" }\r\n",
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" }\r\n",
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"\r\n",
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@ -41,22 +41,12 @@
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" json.dump(clean_data, outfile, indent = 4)\r\n",
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"\r\n",
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"# get a new indexed object key and track it\r\n",
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"def object_key(data):\r\n",
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"def new_key(index):\r\n",
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" # get the indexed key\r\n",
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" key = hex(data[\"internal\"][\"max_object_key\"] + 1)\r\n",
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" key = hex(index[\"index\"] + 1)\r\n",
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"\r\n",
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" # index the max key\r\n",
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" data[\"internal\"][\"max_object_key\"] += 1\r\n",
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"\r\n",
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" return key\r\n",
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"\r\n",
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"# get a new indexed cache key and track it\r\n",
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"def cache_key(data):\r\n",
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" # get the indexed key\r\n",
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" key = hex(data[\"internal\"][\"max_cache_key\"] + 1)\r\n",
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"\r\n",
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" # index the max key\r\n",
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" data[\"internal\"][\"max_cache_key\"] += 1\r\n",
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" index[\"index\"] += 1\r\n",
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"\r\n",
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" return key\r\n",
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"\r\n",
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@ -68,14 +58,18 @@
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" }\r\n",
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" \r\n",
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" # add the asset to the graph\r\n",
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" data[\"graph\"][\"assets\"][object_key(data)] = (\"asset\", asset_data)\r\n",
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" data[\"graph\"][\"assets\"][new_key(data[\"internal\"][\"max_object_key\"])] = (\"asset\", asset_data)\r\n",
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"\r\n",
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"# add an object to the scene\r\n",
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"def spawn_object(data, name, asset):\r\n",
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" object_data = {\r\n",
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" \"name\": (\"name\", name),\r\n",
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" \"asset\": \"\",\r\n",
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" \"trans\": (\"trans\", [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0], [1.0, 1.0, 1.0]])\r\n",
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" \"trans\": (\"trans\", {\r\n",
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" \"position\": (\"vec3\", [0.0, 0.0, 0.0]),\r\n",
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" \"rotation\": (\"vec3\", [0.0, 0.0, 0.0]),\r\n",
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" \"scale\": (\"vec3\", [1.0, 1.0, 1.0])\r\n",
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" })\r\n",
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" }\r\n",
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"\r\n",
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" # get an asset key by the provided name\r\n",
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@ -84,14 +78,14 @@
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" object_data[\"asset\"] = f\"*{key}\"\r\n",
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"\r\n",
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" # add the object to the scene\r\n",
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" data[\"graph\"][\"scene\"][object_key(data)] = (\"object\", object_data)"
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" data[\"graph\"][\"scene\"][new_key(data[\"internal\"][\"max_object_key\"])] = (\"object\", object_data)"
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],
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"outputs": [],
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 158,
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"source": [
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"# cache the scene\r\n",
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"def cache_scene(data):\r\n",
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@ -152,7 +146,108 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"execution_count": 159,
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"source": [
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"# recursively cache a single typeval tuple object\r\n",
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"def cache_typeval(cache, typeval):\r\n",
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" # ignore if not typeval\r\n",
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" if type(typeval) == tuple:\r\n",
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" for key, value in typeval[1].items():\r\n",
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" # refuse to cache pointers (that's just... that would just be a nightmare)\r\n",
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" if type(value) == str:\r\n",
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" is_pointer = (\"*\" in value)\r\n",
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" else:\r\n",
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" is_pointer = False\r\n",
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" if not is_pointer:\r\n",
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" # cache member objects if it's a dictionary object\r\n",
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" if type(value[1]) == dict:\r\n",
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" cache_typeval(cache, value)\r\n",
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"\r\n",
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" value_hash = hash(str(value))\r\n",
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"\r\n",
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" # track in cache\r\n",
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" if value_hash not in cache[\"objects\"]:\r\n",
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" cache_pointer = new_key(cache[\"key_index\"])\r\n",
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" cache[\"objects\"][value_hash] = {\"key\": cache_pointer, \"value\": value, \"count\": 1}\r\n",
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" else:\r\n",
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" cache_pointer = cache[\"objects\"][value_hash][\"key\"]\r\n",
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" cache[\"objects\"][value_hash][\"count\"] += 1\r\n",
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"\r\n",
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" # replace real value with hash\r\n",
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" typeval[1][key] = \"#\" + cache_pointer\r\n",
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"\r\n",
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"# if there's only one instance of a certain value, convert it back to the original value and destroy the cached version\r\n",
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"def uncache_typeval(cache, typeval):\r\n",
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" for key, value in typeval[1].items():\r\n",
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" # refuse to cache pointers (that's just... that would just be a nightmare)\r\n",
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" if type(value) == str:\r\n",
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" is_pointer = (\"*\" in value)\r\n",
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" else:\r\n",
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" is_pointer = False\r\n",
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" if not is_pointer:\r\n",
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" # cache member objects if it's a dictionary object\r\n",
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" if type(value[1]) == dict:\r\n",
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" uncache_typeval(cache, value)\r\n",
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"\r\n",
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" value_hash = hash(str(value))\r\n",
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"\r\n",
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" # check if it occurs only once\r\n",
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" cache_key = value.replace(\"#\", \"\")\r\n",
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" if cache[cache_key][\"count\"] <= 1:\r\n",
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" # replace the cache pointer in the scene data with its original value\r\n",
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" typeval[1][key] = cache[cache_key][\"value\"]\r\n",
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"\r\n",
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" # delete this object from the cache\r\n",
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" del cache[cache_key]\r\n",
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"\r\n",
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"# cache the scene\r\n",
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"def cache_scene(data):\r\n",
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" # add the cache object to the scene data\r\n",
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" data[\"cache\"] = {}\r\n",
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"\r\n",
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" containers = [\r\n",
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" data[\"graph\"][\"scene\"],\r\n",
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" data[\"graph\"][\"assets\"]\r\n",
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" ]\r\n",
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"\r\n",
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" # build a cache of value hashes and pointers\r\n",
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" hash_cache = {\"key_index\": {\"index\": 0}, \"objects\": {}}\r\n",
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" for objects in containers:\r\n",
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" for key, value in objects.items():\r\n",
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" cache_typeval(hash_cache, value)\r\n",
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"\r\n",
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" # create a cache hashed with pointer keys instead of value hashes\r\n",
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" key_cache = {}\r\n",
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" for key, value in hash_cache[\"objects\"].items():\r\n",
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" key_cache[value[\"key\"]] = {\"value\": value[\"value\"], \"count\": value[\"count\"]}\r\n",
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"\r\n",
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" # prune the cache to only redirect repeat values\r\n",
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" for objects in containers:\r\n",
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" for key, value in objects.items():\r\n",
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" uncache_typeval(key_cache, value)\r\n",
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"\r\n",
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" # create a serialized cache usable by neutrino\r\n",
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" serial_cache = {}\r\n",
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" for key, value in key_cache.items():\r\n",
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" serial_cache[key] = value[\"value\"]\r\n",
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"\r\n",
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" # add that cache to the neutrino scene data\r\n",
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" data[\"cache\"] = serial_cache\r\n",
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"\r\n",
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" # DEBUG\r\n",
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" with open(\"hash_cache.json\", \"w\") as outfile:\r\n",
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" json.dump(hash_cache, outfile, indent = 4)\r\n",
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" with open(\"key_cache.json\", \"w\") as outfile:\r\n",
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" json.dump(key_cache, outfile, indent = 4)\r\n",
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" with open(\"serial_cache.json\", \"w\") as outfile:\r\n",
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" json.dump(serial_cache, outfile, indent = 4)"
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],
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"outputs": [],
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"metadata": {}
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},
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{
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"cell_type": "code",
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"execution_count": 160,
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"source": [
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"# just returns a random string\r\n",
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"import random\r\n",
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@ -20,10 +20,10 @@
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{
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"name": [
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"name",
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"NO94Z37B"
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"MSWVFKJ1"
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],
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"asset": "*0x1",
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"trans": "#0x1"
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"asset": "*0x2",
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"trans": "#0x4"
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}
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],
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"0x5": [
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@ -31,10 +31,10 @@
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{
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"name": [
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"name",
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"NC302YU1"
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"BKZH76FF"
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],
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"asset": "*0x2",
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"trans": "#0x1"
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"asset": "*0x1",
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"trans": "#0x4"
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}
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],
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"0x6": [
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@ -42,10 +42,10 @@
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{
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"name": [
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"name",
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"GW5625SS"
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"RHIO8EEY"
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],
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"asset": "*0x3",
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"trans": "#0x1"
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"trans": "#0x4"
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}
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],
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"0x7": [
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@ -53,10 +53,10 @@
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{
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"name": [
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"name",
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"THUUN5IN"
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"CMLYZE24"
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],
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"asset": "*0x3",
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"trans": "#0x1"
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"asset": "*0x1",
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"trans": "#0x4"
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}
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],
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"0x8": [
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@ -64,10 +64,10 @@
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{
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"name": [
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"name",
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"JT5FVYOW"
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"1MMYHH3R"
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],
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"asset": "*0x2",
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"trans": "#0x1"
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"asset": "*0x3",
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"trans": "#0x4"
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}
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]
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},
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@ -77,9 +77,9 @@
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{
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"name": [
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"name",
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"3QDJ22P1"
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"MN9XAQYF"
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],
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"file": "#0x2"
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"file": "#0xa"
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}
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],
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"0x2": [
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@ -87,9 +87,9 @@
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{
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"name": [
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"name",
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"49ITSLZI"
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"L722FBDH"
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],
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"file": "#0x2"
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"file": "#0xa"
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}
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],
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"0x3": [
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@ -97,35 +97,39 @@
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{
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"name": [
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"name",
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"O6YSH0DS"
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"BN05I9TO"
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],
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"file": "#0x2"
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"file": "#0xa"
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}
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]
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}
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},
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"cache": {
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"0x1": [
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"trans",
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[
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[
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0.0,
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0.0,
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0.0
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],
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"0x2": [
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"vec3",
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[
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0.0,
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0.0,
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0.0
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]
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],
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"0x3": [
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"vec3",
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[
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1.0,
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1.0,
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1.0
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]
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]
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],
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"0x2": [
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"0x4": [
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"trans",
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{
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"position": "#0x2",
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"rotation": "#0x2",
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"scale": "#0x3"
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}
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],
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"0xa": [
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"path",
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"Assets/TestAsset.obj"
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]
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