diff --git a/build.sbt b/build.sbt
index 0fbb647..0b5a02d 100644
--- a/build.sbt
+++ b/build.sbt
@@ -1,6 +1,6 @@
 name                     := "chen"
 ThisBuild / organization := "io.appthreat"
-ThisBuild / version      := "0.0.14"
+ThisBuild / version      := "0.0.15"
 ThisBuild / scalaVersion := "3.3.1"
 
 val cpgVersion = "1.4.22"
diff --git a/chenpy/db.py b/chenpy/db.py
deleted file mode 100644
index 64976fb..0000000
--- a/chenpy/db.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import rocksdbpy
-
-
-def db_options():
-    opts = rocksdbpy.Option()
-    opts.create_if_missing(True)
-    opts.set_max_open_files(10)
-    opts.set_use_fsync(True)
-    opts.set_bytes_per_sync(1024 * 1024)
-    opts.optimize_for_point_lookup(1024 * 1024)
-    opts.set_bloom_locality(16)
-    return opts
-
-
-def get(path):
-    return rocksdbpy.open(path, db_options())
diff --git a/poetry.lock b/poetry.lock
index bc901ab..735063a 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -337,63 +337,63 @@ test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
 
 [[package]]
 name = "coverage"
-version = "7.3.1"
+version = "7.3.2"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -404,13 +404,13 @@ toml = ["tomli"]
 
 [[package]]
 name = "cycler"
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+version = "0.12.1"
 description = "Composable style cycles"
 optional = false
 python-versions = ">=3.8"
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 [[package]]
 name = "setuptools-scm"
-version = "8.0.3"
+version = "8.0.4"
 description = "the blessed package to manage your versions by scm tags"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "setuptools-scm-8.0.3.tar.gz", hash = "sha256:0169fd70197efda2f8c4d0b2a7a3d614431b488116f37b79d031e9e7ec884d8c"},
-    {file = "setuptools_scm-8.0.3-py3-none-any.whl", hash = "sha256:813822234453438a13c78d05c8af29918fbc06f88efb33d38f065340bbb48c39"},
+    {file = "setuptools-scm-8.0.4.tar.gz", hash = "sha256:b5f43ff6800669595193fd09891564ee9d1d7dcb196cab4b2506d53a2e1c95c7"},
+    {file = "setuptools_scm-8.0.4-py3-none-any.whl", hash = "sha256:b47844cd2a84b83b3187a5782c71128c28b4c94cad8bfb871da2784a5cb54c4f"},
 ]
 
 [package.dependencies]
 packaging = ">=20"
 setuptools = "*"
 tomli = {version = ">=1", markers = "python_version < \"3.11\""}
-typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
+typing-extensions = "*"
 
 [package.extras]
 docs = ["entangled-cli[rich]", "mkdocs", "mkdocs-entangled-plugin", "mkdocs-material", "mkdocstrings[python]", "pygments"]
 rich = ["rich"]
-test = ["pytest", "rich", "virtualenv (>20)"]
+test = ["build", "pytest", "rich", "wheel"]
 
 [[package]]
 name = "six"
@@ -2393,19 +2355,19 @@ reference = "torch"
 
 [[package]]
 name = "torch-cluster"
-version = "1.6.1+pt20cpu"
+version = "1.6.3+pt20cpu"
 description = "PyTorch Extension Library of Optimized Graph Cluster Algorithms"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "torch_cluster-1.6.1+pt20cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:cbd906f2f8918f7f269ee7015ddd819bbf3cd3893da5a8db8c15fe78656791e1"},
-    {file = "torch_cluster-1.6.1+pt20cpu-cp310-cp310-win_amd64.whl", hash = "sha256:972f0ef23675e7cab0dd49f98df5c501ac5e163572de29cf3892609613055792"},
-    {file = "torch_cluster-1.6.1+pt20cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:f666e7b2dbdffaf9be44aa0dd4cbbec14ca9595a3ad0b15c7234339ee2b9717a"},
-    {file = "torch_cluster-1.6.1+pt20cpu-cp311-cp311-win_amd64.whl", hash = "sha256:82d3260f66eda76e2aee9b458440b2308bf4b403353c844ae45438df89f5d91b"},
-    {file = "torch_cluster-1.6.1+pt20cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:fad2b6a167c41f9f70a04f9c87e70382f115f5699d372ac35f7237a7f2b833f5"},
-    {file = "torch_cluster-1.6.1+pt20cpu-cp38-cp38-win_amd64.whl", hash = "sha256:b775998e2bedf73066e596d919bda4cddc75226d4feaeffc54869a8f3fc672e7"},
-    {file = "torch_cluster-1.6.1+pt20cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:6d1986792d2f2134ad5a95d514bba49828b249eed5c0033fcce9e2dc1bb9186a"},
-    {file = "torch_cluster-1.6.1+pt20cpu-cp39-cp39-win_amd64.whl", hash = "sha256:88ae100e5d2293e38e31aad4f9ab4d88e6ae8d75f5b3a0fc950c83d65dd722b3"},
+    {file = "torch_cluster-1.6.3+pt20cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:c97e7a2f3796890e095b214b0850ebbc5acb40643f03ca700774312b322580ea"},
+    {file = "torch_cluster-1.6.3+pt20cpu-cp310-cp310-win_amd64.whl", hash = "sha256:88674103d31f17648be0483922bb1d89e7364e0848abcd82ca1282185112cd52"},
+    {file = "torch_cluster-1.6.3+pt20cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:8716599cec15f96645f665f7e29a0563073b57b7a18d83d3323a711a38222422"},
+    {file = "torch_cluster-1.6.3+pt20cpu-cp311-cp311-win_amd64.whl", hash = "sha256:299e739ca79f7337d05aed1d858e527e88b022a6f69d0705c6bfb8ba8780c193"},
+    {file = "torch_cluster-1.6.3+pt20cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:8e0702d95de8a948e91aaced0c8e951851d36ec0d5b086133a316539a460ef7f"},
+    {file = "torch_cluster-1.6.3+pt20cpu-cp38-cp38-win_amd64.whl", hash = "sha256:caa31101271d0cc262b265b0b9d5b9f3113cb772f9f2561f266993f8738458aa"},
+    {file = "torch_cluster-1.6.3+pt20cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:e465d2bc7497a9577ffd96dafc85e1e6a5dafbe841d2f81398489f2b4344d0e8"},
+    {file = "torch_cluster-1.6.3+pt20cpu-cp39-cp39-win_amd64.whl", hash = "sha256:be2ce81f1ddc248dc7f838cfcd510cc1520da08b6e67a72e5c676d099699e6b0"},
 ]
 
 [package.dependencies]
@@ -2421,12 +2383,13 @@ reference = "pyg"
 
 [[package]]
 name = "torch-geometric"
-version = "2.3.1"
+version = "2.4.0"
 description = "Graph Neural Network Library for PyTorch"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "torch_geometric-2.3.1.tar.gz", hash = "sha256:454fd0bbc128a17a4b9d15010ba9f66d48ec8cd7277991b888a7770263fa125d"},
+    {file = "torch_geometric-2.4.0-py3-none-any.whl", hash = "sha256:9d8eb5eec44382f4072aa5e835450f144e9edb9d164627e532e311880b6bdad0"},
+    {file = "torch_geometric-2.4.0.tar.gz", hash = "sha256:343c6906d0678f16553c2d02b7267d0ec77eafb5b44324070ebcf7da8a934557"},
 ]
 
 [package.dependencies]
@@ -2441,27 +2404,27 @@ tqdm = "*"
 
 [package.extras]
 benchmark = ["matplotlib", "networkx", "pandas", "protobuf (<4.21)", "wandb"]
-dev = ["onnx", "onnxruntime", "pre-commit", "pytest", "pytest-cov"]
-full = ["ase", "captum", "graphviz", "h5py", "huggingface_hub", "hydra-core", "matplotlib", "networkx", "numba", "opt_einsum", "pandas", "pgmpy", "protobuf (<4.21)", "pytorch-lightning", "pytorch-memlab", "rdflib", "scikit-image", "statsmodels", "sympy", "tabulate", "torchmetrics", "trimesh", "yacs"]
+dev = ["pre-commit", "torch_geometric[test]"]
+full = ["ase", "captum", "graphviz", "h5py", "matplotlib", "networkx", "numba", "opt_einsum", "pandas", "pgmpy", "pynndescent", "pytorch-memlab", "rdflib", "rdkit", "scikit-image", "statsmodels", "sympy", "tabulate", "torch_geometric[graphgym,modelhub]", "torchmetrics", "trimesh"]
 graphgym = ["hydra-core", "protobuf (<4.21)", "pytorch-lightning", "yacs"]
 modelhub = ["huggingface_hub"]
 test = ["onnx", "onnxruntime", "pytest", "pytest-cov"]
 
 [[package]]
 name = "torch-scatter"
-version = "2.1.1+pt20cpu"
+version = "2.1.2+pt20cpu"
 description = "PyTorch Extension Library of Optimized Scatter Operations"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "torch_scatter-2.1.1+pt20cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:c7d913cb9675a3f16d852aced4c2ee9a99e7da81b7bdf5e5e301c071fd9897c1"},
-    {file = "torch_scatter-2.1.1+pt20cpu-cp310-cp310-win_amd64.whl", hash = "sha256:ed889e3145f8e463e7c61b435d0a6b053329e1d51e65100a529d1a8b98fa45ba"},
-    {file = "torch_scatter-2.1.1+pt20cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:2f725dd2aa4074b41fbbe750e9a04b15e1348907f1294a60256f1bc42ea0c01a"},
-    {file = "torch_scatter-2.1.1+pt20cpu-cp311-cp311-win_amd64.whl", hash = "sha256:6d85d654a8a26d521c3bea66a1ed1d115106be2e4475016aaa97a3e448c1e0c9"},
-    {file = "torch_scatter-2.1.1+pt20cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:cdb401a563bd1db7d23e0e947eca3311999e971b083358e1b8fde8d17e7f2990"},
-    {file = "torch_scatter-2.1.1+pt20cpu-cp38-cp38-win_amd64.whl", hash = "sha256:d6f6541fe27d9d02003e2ce8488acc32c89bb0054939cd763ef88e4dd6dbf18d"},
-    {file = "torch_scatter-2.1.1+pt20cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:d2511cfb8f0d9c9fb8207c58d1ac73dc0bc815f063f12dde714408ec066c8ee2"},
-    {file = "torch_scatter-2.1.1+pt20cpu-cp39-cp39-win_amd64.whl", hash = "sha256:f04f52029f251f8315e400c1b808fe6300f544aba52f59e4c8fb6c43514b785e"},
+    {file = "torch_scatter-2.1.2+pt20cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:935a09ea195a6f439816eda886674b43b971adfdf92890a3ebd238673efb49ea"},
+    {file = "torch_scatter-2.1.2+pt20cpu-cp310-cp310-win_amd64.whl", hash = "sha256:2acbf7abe506efc7600e54be41e2e486c5802f4cdbfa680966130519344b6ad8"},
+    {file = "torch_scatter-2.1.2+pt20cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:da9858548dc544954f81e77ce949b9194030178922aa5c5fa02c83f20e1f6430"},
+    {file = "torch_scatter-2.1.2+pt20cpu-cp311-cp311-win_amd64.whl", hash = "sha256:84115eb8fd4a6cced446ebd588da5001fe7cdba0e7176d7fbcfbc7fc419e69d5"},
+    {file = "torch_scatter-2.1.2+pt20cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:0f7be524837fc31e3c5858b94e5a7cc103332052643ef34eb7fcc359de9699e1"},
+    {file = "torch_scatter-2.1.2+pt20cpu-cp38-cp38-win_amd64.whl", hash = "sha256:2bf525f81a65472df720a20ba94f5600ef9680e4d590c0e6a64df8ee5846b235"},
+    {file = "torch_scatter-2.1.2+pt20cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:cb883b9d8f513bdebf99106688ac82c829f86152fafb1cfdbe9bebba6adef6fc"},
+    {file = "torch_scatter-2.1.2+pt20cpu-cp39-cp39-win_amd64.whl", hash = "sha256:d21bafa6df5a373b509ab2c4b5c2472913697f7d7f4e0061f5966617d794fee6"},
 ]
 
 [package.extras]
@@ -2474,19 +2437,19 @@ reference = "pyg"
 
 [[package]]
 name = "torch-sparse"
-version = "0.6.17+pt20cpu"
+version = "0.6.18+pt20cpu"
 description = "PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "torch_sparse-0.6.17+pt20cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:8143cfdaa683e910133ce1656daf214882394f27b4f02a1f7dfc7a69439c3355"},
-    {file = "torch_sparse-0.6.17+pt20cpu-cp310-cp310-win_amd64.whl", hash = "sha256:0d26c58a530482b9b527be32d640d227d854334b2058cbed9e20b02465483f99"},
-    {file = "torch_sparse-0.6.17+pt20cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:fb6e34e22d34a073aaf40edafc7ee4cbf9b837b9390558956f9e04c6adcc28db"},
-    {file = "torch_sparse-0.6.17+pt20cpu-cp311-cp311-win_amd64.whl", hash = "sha256:aa3f9ccd9dfdc0c249daddcd97bbe40c6e915ef20c1c724e4b99b4fc7ca07e18"},
-    {file = "torch_sparse-0.6.17+pt20cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:e4b4604d035b91f50daddd5db17e8293aa5502af8c0e698d52b7c0479fb3615a"},
-    {file = "torch_sparse-0.6.17+pt20cpu-cp38-cp38-win_amd64.whl", hash = "sha256:b3ba774cdaf89894677e01cf0de546dc19df30d8a8a9a105ed0484e391ae216c"},
-    {file = "torch_sparse-0.6.17+pt20cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:418c98cdbc652805f50472c28e1a0498c79d872c921dc71811c333f2d8f0e49e"},
-    {file = "torch_sparse-0.6.17+pt20cpu-cp39-cp39-win_amd64.whl", hash = "sha256:a05358d565c724a8209bec1839d9d6c7cd896d9ea1253c75b03bf0c5ebed2390"},
+    {file = "torch_sparse-0.6.18+pt20cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:ec36ba8b7ef890aec3bb5e20dbb32b8734bd9d992ed74bc3cb1c9103b4167fee"},
+    {file = "torch_sparse-0.6.18+pt20cpu-cp310-cp310-win_amd64.whl", hash = "sha256:fb17b6bb6125d359a3ff65f55fc798caed98506b6b9dfc8a8fd43a4cfa098ae2"},
+    {file = "torch_sparse-0.6.18+pt20cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:05b4c43fb95521e9094d1bf6097724e2efe62c351ce4b71256d37d2f6b854457"},
+    {file = "torch_sparse-0.6.18+pt20cpu-cp311-cp311-win_amd64.whl", hash = "sha256:9afeb2f54a89c96f16088ac2223d9fc1abb8e67ff5c44061b5340278107bc926"},
+    {file = "torch_sparse-0.6.18+pt20cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:64270d7fa07739c9518566a55e2b0fe145419a4937577e79952bcd5c159338e5"},
+    {file = "torch_sparse-0.6.18+pt20cpu-cp38-cp38-win_amd64.whl", hash = "sha256:f2da3b758664acd4dcb56178c2199a6a1dc1e4693e7fc870b2c409fadb0385be"},
+    {file = "torch_sparse-0.6.18+pt20cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:2990481ae03ebca728be09ee4e1c35f40eb2cc9e6028ab46ddc4b738f20a29fa"},
+    {file = "torch_sparse-0.6.18+pt20cpu-cp39-cp39-win_amd64.whl", hash = "sha256:f294ba78b1b5bc3c70dd5c12299d76b9d204138b183c81b85965ca69fa3b1a68"},
 ]
 
 [package.dependencies]
@@ -2625,13 +2588,13 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.0.5"
+version = "2.0.6"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "urllib3-2.0.5-py3-none-any.whl", hash = "sha256:ef16afa8ba34a1f989db38e1dbbe0c302e4289a47856990d0682e374563ce35e"},
-    {file = "urllib3-2.0.5.tar.gz", hash = "sha256:13abf37382ea2ce6fb744d4dad67838eec857c9f4f57009891805e0b5e123594"},
+    {file = "urllib3-2.0.6-py3-none-any.whl", hash = "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2"},
+    {file = "urllib3-2.0.6.tar.gz", hash = "sha256:b19e1a85d206b56d7df1d5e683df4a7725252a964e3993648dd0fb5a1c157564"},
 ]
 
 [package.extras]
@@ -2816,4 +2779,4 @@ science = ["uvloop"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<3.12"
-content-hash = "354c611c85825e755fb478eefe27dcdd3dd287321ee56a6e526b87e2e3f72f38"
+content-hash = "7db7edaf15242db592eb560c57ab32dced7c1b33bc502db35aacaed54345e3f7"
diff --git a/pyproject.toml b/pyproject.toml
index f1a08f8..2e4dc9e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "appthreat-chen"
-version = "0.0.14"
+version = "0.0.15"
 description = "Code Hierarchy Exploration Net (chen)"
 authors = ["Team AppThreat <cloud@appthreat.com>"]
 license = "Apache-2.0"
@@ -45,8 +45,8 @@ quart = "^0.18.4"
 
 
 [tool.poetry.extras]
-science = ["uvloop", "networkx", "pydotplus", "pyg-lib", "torch-scatter", "torch-sparse", "torch-cluster", "torch-spline-conv", "torch-geometric", "torch", "torchtext", "rocksdb-py"]
-database = ["networkx", "rocksdb-py"]
+science = ["uvloop", "networkx", "pydotplus", "pyg-lib", "torch-scatter", "torch-sparse", "torch-cluster", "torch-spline-conv", "torch-geometric", "torch", "torchtext"]
+database = ["networkx"]
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.3.1"
@@ -59,9 +59,6 @@ pdoc3 = "^0.10.0"
 [tool.poetry.group.science]
 optional = true
 
-[tool.poetry.group.database]
-optional = true
-
 [tool.poetry.group.science.dependencies]
 networkx = {extras = ["default", "extra"], version = "^3.1"}
 pydotplus = {version = "^2.0.2", markers = "sys_platform == 'linux' or sys_platform == 'darwin'", optional = true}
@@ -74,10 +71,6 @@ torch-geometric = {version = "^2.3.1"}
 torch = {version = "^2.0.1+cpu", source = "torch"}
 torchtext = {version = "^0.15.2+cpu", markers = "sys_platform == 'linux' or sys_platform == 'darwin'", source = "torch"}
 
-[tool.poetry.group.database.dependencies]
-rocksdb-py = "^0.0.4"
-
-
 [[tool.poetry.source]]
 name = "pyg"
 url = "https://data.pyg.org/whl/torch-2.0.0+cpu.html"