diff --git a/poetry.lock b/poetry.lock
index dd01f4e..bb2cd06 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -73,24 +73,24 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.6.2.post1"
+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.6.2.post1-py3-none-any.whl", hash = "sha256:6d170c36fba3bdd840c73d3868c1e777e33676a69c3a72cf0a0d5d6d8009b61d"},
-    {file = "anyio-4.6.2.post1.tar.gz", hash = "sha256:4c8bc31ccdb51c7f7bd251f51c609e038d63e34219b44aa86e47576389880b4c"},
+    {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
+    {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
 ]
 
 [package.dependencies]
 exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
-typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
+typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21.0b1)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -117,13 +117,13 @@ files = [
 
 [[package]]
 name = "argcomplete"
-version = "3.5.1"
+version = "3.5.3"
 description = "Bash tab completion for argparse"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "argcomplete-3.5.1-py3-none-any.whl", hash = "sha256:1a1d148bdaa3e3b93454900163403df41448a248af01b6e849edc5ac08e6c363"},
-    {file = "argcomplete-3.5.1.tar.gz", hash = "sha256:eb1ee355aa2557bd3d0145de7b06b2a45b0ce461e1e7813f5d066039ab4177b4"},
+    {file = "argcomplete-3.5.3-py3-none-any.whl", hash = "sha256:2ab2c4a215c59fd6caaff41a869480a23e8f6a5f910b266c1808037f4e375b61"},
+    {file = "argcomplete-3.5.3.tar.gz", hash = "sha256:c12bf50eded8aebb298c7b7da7a5ff3ee24dffd9f5281867dfe1424b58c55392"},
 ]
 
 [package.extras]
@@ -253,23 +253,65 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "attrs"
-version = "24.2.0"
+version = "24.3.0"
 description = "Classes Without Boilerplate"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
-    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
+    {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
+    {file = "attrs-24.3.0.tar.gz", hash = "sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
 ]
 
 [package.extras]
 benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
 tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
+[[package]]
+name = "audioop-lts"
+version = "0.2.1"
+description = "LTS Port of Python audioop"
+optional = false
+python-versions = ">=3.13"
+files = [
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+    {file = "audioop_lts-0.2.1-cp313-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:fbae5d6925d7c26e712f0beda5ed69ebb40e14212c185d129b8dfbfcc335eb48"},
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+    {file = "audioop_lts-0.2.1-cp313-abi3-musllinux_1_2_ppc64le.whl", hash = "sha256:f626a01c0a186b08f7ff61431c01c055961ee28769591efa8800beadd27a2959"},
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+    {file = "audioop_lts-0.2.1-cp313-abi3-win_amd64.whl", hash = "sha256:64562c5c771fb0a8b6262829b9b4f37a7b886c01b4d3ecdbae1d629717db08b4"},
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+    {file = "audioop_lts-0.2.1-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bdb3b7912ccd57ea53197943f1bbc67262dcf29802c4a6df79ec1c715d45a78"},
+    {file = "audioop_lts-0.2.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:120678b208cca1158f0a12d667af592e067f7a50df9adc4dc8f6ad8d065a93fb"},
+    {file = "audioop_lts-0.2.1-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:54cd4520fc830b23c7d223693ed3e1b4d464997dd3abc7c15dce9a1f9bd76ab2"},
+    {file = "audioop_lts-0.2.1-cp313-cp313t-musllinux_1_2_ppc64le.whl", hash = "sha256:d6bd20c7a10abcb0fb3d8aaa7508c0bf3d40dfad7515c572014da4b979d3310a"},
+    {file = "audioop_lts-0.2.1-cp313-cp313t-musllinux_1_2_s390x.whl", hash = "sha256:f0ed1ad9bd862539ea875fb339ecb18fcc4148f8d9908f4502df28f94d23491a"},
+    {file = "audioop_lts-0.2.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:e1af3ff32b8c38a7d900382646e91f2fc515fd19dea37e9392275a5cbfdbff63"},
+    {file = "audioop_lts-0.2.1-cp313-cp313t-win32.whl", hash = "sha256:f51bb55122a89f7a0817d7ac2319744b4640b5b446c4c3efcea5764ea99ae509"},
+    {file = "audioop_lts-0.2.1-cp313-cp313t-win_amd64.whl", hash = "sha256:f0f2f336aa2aee2bce0b0dcc32bbba9178995454c7b979cf6ce086a8801e14c7"},
+    {file = "audioop_lts-0.2.1-cp313-cp313t-win_arm64.whl", hash = "sha256:78bfb3703388c780edf900be66e07de5a3d4105ca8e8720c5c4d67927e0b15d0"},
+    {file = "audioop_lts-0.2.1.tar.gz", hash = "sha256:e81268da0baa880431b68b1308ab7257eb33f356e57a5f9b1f915dfb13dd1387"},
+]
+
 [[package]]
 name = "babel"
 version = "2.16.0"
@@ -367,12 +409,12 @@ lxml = ["lxml"]
 
 [[package]]
 name = "bibtexparser"
-version = "1.4.2"
+version = "1.4.3"
 description = "Bibtex parser for python 3"
 optional = false
 python-versions = "*"
 files = [
-    {file = "bibtexparser-1.4.2.tar.gz", hash = "sha256:dd5d54a1ec6d27b6485ce2f6b9aa514b183fb2b8d4bf5f19333a906eedaf8eaa"},
+    {file = "bibtexparser-1.4.3.tar.gz", hash = "sha256:a9c7ded64bc137720e4df0b1b7f12734edc1361185f1c9097048ff7c35af2b8f"},
 ]
 
 [package.dependencies]
@@ -408,6 +450,7 @@ files = [
 ]
 
 [package.dependencies]
+tinycss2 = {version = ">=1.1.0,<1.5", optional = true, markers = "extra == \"css\""}
 webencodings = "*"
 
 [package.extras]
@@ -488,13 +531,13 @@ ujson = ["ujson (>=5.7.0)"]
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2024.12.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
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+    {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
+    {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
 ]
 
 [[package]]
@@ -602,116 +645,103 @@ files = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.0"
+version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.7"
 files = [
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 [[package]]
@@ -819,13 +849,13 @@ torch-geometric = ["torch", "torch-geometric", "torch-sparse"]
 
 [[package]]
 name = "click"
-version = "8.1.7"
+version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1028,18 +1058,20 @@ test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "curies"
-version = "0.9.0"
+version = "0.10.2"
 description = "Idiomatic conversion between URIs and compact URIs (CURIEs)"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
+eval-type-backport = {version = "*", markers = "python_version < \"3.10\""}
 pydantic = ">=2.0"
 pytrie = "*"
+typing-extensions = "*"
 
 [package.extras]
 docs = ["sphinx (>=8)", "sphinx-automodapi", "sphinx-rtd-theme (>=3.0)"]
@@ -1047,7 +1079,7 @@ fastapi = ["defusedxml", "fastapi", "httpx", "python-multipart", "uvicorn"]
 flask = ["defusedxml", "flask"]
 pandas = ["pandas"]
 rdflib = ["rdflib"]
-tests = ["coverage", "pytest", "requests"]
+tests = ["coverage[toml]", "pytest", "requests"]
 
 [[package]]
 name = "cycler"
@@ -1066,37 +1098,37 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "debugpy"
-version = "1.8.9"
+version = "1.8.12"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
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+    {file = "debugpy-1.8.12.tar.gz", hash = "sha256:646530b04f45c830ceae8e491ca1c9320a2d2f0efea3141487c82130aba70dce"},
 ]
 
 [[package]]
@@ -1335,6 +1367,20 @@ requests = "*"
 [package.extras]
 dev = ["flake8", "ipython", "mock", "pytest", "pytest-cov", "restview", "setuptools", "sphinx", "sphinx-rtd-theme", "tox", "vcrpy", "yapf"]
 
+[[package]]
+name = "eval-type-backport"
+version = "0.2.2"
+description = "Like `typing._eval_type`, but lets older Python versions use newer typing features."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "eval_type_backport-0.2.2-py3-none-any.whl", hash = "sha256:cb6ad7c393517f476f96d456d0412ea80f0a8cf96f6892834cd9340149111b0a"},
+    {file = "eval_type_backport-0.2.2.tar.gz", hash = "sha256:f0576b4cf01ebb5bd358d02314d31846af5e07678387486e2c798af0e7d849c1"},
+]
+
+[package.extras]
+tests = ["pytest"]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
@@ -1365,27 +1411,27 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "fake-useragent"
-version = "1.5.1"
+version = "2.0.3"
 description = "Up-to-date simple useragent faker with real world database"
 optional = false
-python-versions = "*"
+python-versions = ">=3.9"
 files = [
-    {file = "fake-useragent-1.5.1.tar.gz", hash = "sha256:6387269f5a2196b5ba7ed8935852f75486845a1c95c50e72460e6a8e762f5c49"},
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+    {file = "fake_useragent-2.0.3-py3-none-any.whl", hash = "sha256:8bae50abb72c309a5b3ae2f01a0b82426613fd5c4e2a04dca9332399ec44daa1"},
+    {file = "fake_useragent-2.0.3.tar.gz", hash = "sha256:af86a26ef8229efece8fed529b4aeb5b73747d889b60f01cd477b6f301df46e6"},
 ]
 
 [package.dependencies]
-importlib-resources = {version = ">=5.0", markers = "python_version < \"3.10\""}
+importlib-resources = {version = ">=6.0", markers = "python_version < \"3.10\""}
 
 [[package]]
 name = "fastapi"
-version = "0.115.5"
+version = "0.115.6"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "fastapi-0.115.6.tar.gz", hash = "sha256:9ec46f7addc14ea472958a96aae5b5de65f39721a46aaf5705c480d9a8b76654"},
 ]
 
 [package.dependencies]
@@ -1484,72 +1530,72 @@ typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "flatbuffers"
-version = "24.3.25"
+version = "24.12.23"
 description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "flatbuffers-24.12.23.tar.gz", hash = "sha256:2910b0bc6ae9b6db78dd2b18d0b7a0709ba240fb5585f286a3a2b30785c22dac"},
 ]
 
 [[package]]
 name = "fonttools"
-version = "4.55.0"
+version = "4.55.3"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
 files = [
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 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
@@ -1727,13 +1773,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.154.0"
+version = "2.159.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
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 [package.dependencies]
@@ -1745,13 +1791,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.36.0"
+version = "2.37.0"
 description = "Google Authentication Library"
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 python-versions = ">=3.7"
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 [package.dependencies]
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 aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
 enterprise-cert = ["cryptography", "pyopenssl"]
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 pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
@@ -1952,70 +1999,70 @@ test = ["objgraph", "psutil"]
 
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 name = "gspread"
@@ -2169,13 +2216,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
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 [package.dependencies]
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 [[package]]
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 [package.dependencies]
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 [[package]]
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 [[package]]
@@ -2911,13 +2959,13 @@ test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"
 
 [[package]]
 name = "jupyter-events"
-version = "0.10.0"
+version = "0.11.0"
 description = "Jupyter Event System library"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -2931,7 +2979,7 @@ traitlets = ">=5.3"
 
 [package.extras]
 cli = ["click", "rich"]
-docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme", "sphinxcontrib-spelling"]
+docs = ["jupyterlite-sphinx", "myst-parser", "pydata-sphinx-theme (>=0.16)", "sphinx (>=8)", "sphinxcontrib-spelling"]
 test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "pytest-console-scripts", "rich"]
 
 [[package]]
@@ -2951,13 +2999,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.14.2"
+version = "2.15.0"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
-python-versions = ">=3.8"
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 [package.dependencies]
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 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
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 nbconvert = ">=6.4.4"
 nbformat = ">=5.3.0"
@@ -3285,13 +3333,13 @@ regex = ["regex"]
 
 [[package]]
 name = "linkml"
-version = "1.8.5"
+version = "1.8.6"
 description = "Linked Open Data Modeling Language"
 optional = false
 python-versions = "<4.0.0,>=3.8.1"
 files = [
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 [package.dependencies]
@@ -3318,6 +3366,7 @@ pyyaml = "*"
 rdflib = ">=6.0.0"
 requests = ">=2.22"
 sqlalchemy = ">=1.4.31"
+typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.12\""}
 watchdog = ">=0.9.0"
 
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+    {file = "matplotlib-3.9.4.tar.gz", hash = "sha256:1e00e8be7393cbdc6fedfa8a6fba02cf3e83814b285db1c60b906a023ba41bc3"},
 ]
 
 [package.dependencies]
@@ -3745,7 +3794,7 @@ pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
 
 [package.extras]
-dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6,!=2.13.3)", "setuptools (>=64)", "setuptools_scm (>=7)"]
+dev = ["meson-python (>=0.13.1,<0.17.0)", "numpy (>=1.25)", "pybind11 (>=2.6,!=2.13.3)", "setuptools (>=64)", "setuptools_scm (>=7)"]
 
 [[package]]
 name = "matplotlib-inline"
@@ -3793,15 +3842,18 @@ files = [
 
 [[package]]
 name = "mistune"
-version = "3.0.2"
+version = "3.1.0"
 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"},
-    {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"},
+    {file = "mistune-3.1.0-py3-none-any.whl", hash = "sha256:b05198cf6d671b3deba6c87ec6cf0d4eb7b72c524636eddb6dbf13823b52cee1"},
+    {file = "mistune-3.1.0.tar.gz", hash = "sha256:dbcac2f78292b9dc066cd03b7a3a26b62d85f8159f2ea5fd28e55df79908d667"},
 ]
 
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "mmh3"
 version = "5.0.1"
@@ -3988,32 +4040,39 @@ testing-docutils = ["pygments", "pytest (>=8,<9)", "pytest-param-files (>=0.6.0,
 
 [[package]]
 name = "narwhals"
-version = "1.15.1"
+version = "1.22.0"
 description = "Extremely lightweight compatibility layer between dataframe libraries"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "narwhals-1.15.1-py3-none-any.whl", hash = "sha256:ede09b500089a67c7436b200a78ec34e4a14825ec17ea9c60a040b07130baf4c"},
-    {file = "narwhals-1.15.1.tar.gz", hash = "sha256:2d2fe01797072e1eac9de3ce6db90bbcad40cc116c442ef6947ba7e47caff37c"},
+    {file = "narwhals-1.22.0-py3-none-any.whl", hash = "sha256:5c931bf8696b6dec276f590f1bc5043080606b16ce86d85c9b550312c981970f"},
+    {file = "narwhals-1.22.0.tar.gz", hash = "sha256:8e257c5af70a82382796706f39d681290f2c482812474524087f36cb69f9d2f1"},
 ]
 
 [package.extras]
-cudf = ["cudf (>=23.08.00)"]
-dask = ["dask[dataframe] (>=2024.7)"]
+core = ["duckdb", "pandas", "polars", "pyarrow", "pyarrow-stubs"]
+cudf = ["cudf (>=24.10.0)"]
+dask = ["dask[dataframe] (>=2024.8)"]
+dev = ["covdefaults", "hypothesis", "pre-commit", "pytest", "pytest-cov", "pytest-env", "pytest-randomly", "typing-extensions"]
+docs = ["black", "duckdb", "jinja2", "markdown-exec[ansi]", "mkdocs", "mkdocs-autorefs", "mkdocs-material", "mkdocstrings[python]", "pandas", "polars (>=1.0.0)", "pyarrow"]
+duckdb = ["duckdb (>=1.0)"]
+extra = ["scikit-learn"]
+ibis = ["ibis-framework (>=6.0.0)", "packaging", "pyarrow-hotfix", "rich"]
 modin = ["modin"]
 pandas = ["pandas (>=0.25.3)"]
 polars = ["polars (>=0.20.3)"]
 pyarrow = ["pyarrow (>=11.0.0)"]
+pyspark = ["pyspark (>=3.5.0)"]
 
 [[package]]
 name = "nbclient"
-version = "0.10.1"
+version = "0.10.2"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.9.0"
 files = [
-    {file = "nbclient-0.10.1-py3-none-any.whl", hash = "sha256:949019b9240d66897e442888cfb618f69ef23dc71c01cb5fced8499c2cfc084d"},
-    {file = "nbclient-0.10.1.tar.gz", hash = "sha256:3e93e348ab27e712acd46fccd809139e356eb9a31aab641d1a7991a6eb4e6f68"},
+    {file = "nbclient-0.10.2-py3-none-any.whl", hash = "sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d"},
+    {file = "nbclient-0.10.2.tar.gz", hash = "sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193"},
 ]
 
 [package.dependencies]
@@ -4024,23 +4083,23 @@ traitlets = ">=5.4"
 
 [package.extras]
 dev = ["pre-commit"]
-docs = ["autodoc-traits", "flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "mock", "moto", "myst-parser", "nbconvert (>=7.0.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling", "testpath", "xmltodict"]
-test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
+docs = ["autodoc-traits", "flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "mock", "moto", "myst-parser", "nbconvert (>=7.1.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling", "testpath", "xmltodict"]
+test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.1.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
 
 [[package]]
 name = "nbconvert"
-version = "7.16.4"
+version = "7.16.5"
 description = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "nbconvert-7.16.4-py3-none-any.whl", hash = "sha256:05873c620fe520b6322bf8a5ad562692343fe3452abda5765c7a34b7d1aa3eb3"},
-    {file = "nbconvert-7.16.4.tar.gz", hash = "sha256:86ca91ba266b0a448dc96fa6c5b9d98affabde2867b363258703536807f9f7f4"},
+    {file = "nbconvert-7.16.5-py3-none-any.whl", hash = "sha256:e12eac052d6fd03040af4166c563d76e7aeead2e9aadf5356db552a1784bd547"},
+    {file = "nbconvert-7.16.5.tar.gz", hash = "sha256:c83467bb5777fdfaac5ebbb8e864f300b277f68692ecc04d6dab72f2d8442344"},
 ]
 
 [package.dependencies]
 beautifulsoup4 = "*"
-bleach = "!=5.0.0"
+bleach = {version = "!=5.0.0", extras = ["css"]}
 defusedxml = "*"
 importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
 jinja2 = ">=3.0"
@@ -4053,7 +4112,6 @@ nbformat = ">=5.7"
 packaging = "*"
 pandocfilters = ">=1.4.1"
 pygments = ">=2.4.1"
-tinycss2 = "*"
 traitlets = ">=5.1"
 
 [package.extras]
@@ -4088,13 +4146,13 @@ test = ["pep440", "pre-commit", "pytest", "testpath"]
 
 [[package]]
 name = "ndex2"
-version = "3.9.0"
+version = "3.10.0"
 description = "Nice CX Python includes a client and a data model."
 optional = false
 python-versions = "*"
 files = [
-    {file = "ndex2-3.9.0-py2.py3-none-any.whl", hash = "sha256:168a6ed3209f2c9596752897fe535599b11f87305c10d55446bf8ffef4762283"},
-    {file = "ndex2-3.9.0.tar.gz", hash = "sha256:388b2f110b2eb1ba787298bc4210ca0cea821c462ec71a4ec4cb6eb0e1b74f70"},
+    {file = "ndex2-3.10.0-py2.py3-none-any.whl", hash = "sha256:fdb8307ccdbdf49044c9119373852242ca24a4926df1c5566e94965e59b70b67"},
+    {file = "ndex2-3.10.0.tar.gz", hash = "sha256:7e8cfc3fc940cddfd612810fc8c913ab61e01a43e4f482608e86c6548b81b7e1"},
 ]
 
 [package.dependencies]
@@ -4562,13 +4620,13 @@ tests = ["coverage", "pytest", "unittest-templates"]
 
 [[package]]
 name = "openai"
-version = "1.55.3"
+version = "1.59.7"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.55.3-py3-none-any.whl", hash = "sha256:2a235d0e1e312cd982f561b18c27692e253852f4e5fb6ccf08cb13540a9bdaa1"},
-    {file = "openai-1.55.3.tar.gz", hash = "sha256:547e85b94535469f137a779d8770c8c5adebd507c2cc6340ca401a7c4d5d16f0"},
+    {file = "openai-1.59.7-py3-none-any.whl", hash = "sha256:cfa806556226fa96df7380ab2e29814181d56fea44738c2b0e581b462c268692"},
+    {file = "openai-1.59.7.tar.gz", hash = "sha256:043603def78c00befb857df9f0a16ee76a3af5984ba40cb7ee5e2f40db4646bf"},
 ]
 
 [package.dependencies]
@@ -4583,6 +4641,7 @@ typing-extensions = ">=4.11,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+realtime = ["websockets (>=13,<15)"]
 
 [[package]]
 name = "openpyxl"
@@ -4600,13 +4659,13 @@ et-xmlfile = "*"
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_api-1.28.2-py3-none-any.whl", hash = "sha256:6fcec89e265beb258fe6b1acaaa3c8c705a934bd977b9f534a2b7c0d2d4275a6"},
-    {file = "opentelemetry_api-1.28.2.tar.gz", hash = "sha256:ecdc70c7139f17f9b0cf3742d57d7020e3e8315d6cffcdf1a12a905d45b19cc0"},
+    {file = "opentelemetry_api-1.29.0-py3-none-any.whl", hash = "sha256:5fcd94c4141cc49c736271f3e1efb777bebe9cc535759c54c936cca4f1b312b8"},
+    {file = "opentelemetry_api-1.29.0.tar.gz", hash = "sha256:d04a6cf78aad09614f52964ecb38021e248f5714dc32c2e0d8fd99517b4d69cf"},
 ]
 
 [package.dependencies]
@@ -4615,27 +4674,27 @@ importlib-metadata = ">=6.0,<=8.5.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_common-1.28.2-py3-none-any.whl", hash = "sha256:545b1943b574f666c35b3d6cc67cb0b111060727e93a1e2866e346b33bff2a12"},
-    {file = "opentelemetry_exporter_otlp_proto_common-1.28.2.tar.gz", hash = "sha256:7aebaa5fc9ff6029374546df1f3a62616fda07fccd9c6a8b7892ec130dd8baca"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.29.0-py3-none-any.whl", hash = "sha256:a9d7376c06b4da9cf350677bcddb9618ed4b8255c3f6476975f5e38274ecd3aa"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.29.0.tar.gz", hash = "sha256:e7c39b5dbd1b78fe199e40ddfe477e6983cb61aa74ba836df09c3869a3e3e163"},
 ]
 
 [package.dependencies]
-opentelemetry-proto = "1.28.2"
+opentelemetry-proto = "1.29.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.28.2-py3-none-any.whl", hash = "sha256:6083d9300863aab35bfce7c172d5fc1007686e6f8dff366eae460cd9a21592e2"},
-    {file = "opentelemetry_exporter_otlp_proto_grpc-1.28.2.tar.gz", hash = "sha256:07c10378380bbb01a7f621a5ce833fc1fab816e971140cd3ea1cd587840bc0e6"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.29.0-py3-none-any.whl", hash = "sha256:5a2a3a741a2543ed162676cf3eefc2b4150e6f4f0a193187afb0d0e65039c69c"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.29.0.tar.gz", hash = "sha256:3d324d07d64574d72ed178698de3d717f62a059a93b6b7685ee3e303384e73ea"},
 ]
 
 [package.dependencies]
@@ -4643,78 +4702,78 @@ deprecated = ">=1.2.6"
 googleapis-common-protos = ">=1.52,<2.0"
 grpcio = ">=1.63.2,<2.0.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.28.2"
-opentelemetry-proto = "1.28.2"
-opentelemetry-sdk = ">=1.28.2,<1.29.0"
+opentelemetry-exporter-otlp-proto-common = "1.29.0"
+opentelemetry-proto = "1.29.0"
+opentelemetry-sdk = ">=1.29.0,<1.30.0"
 
 [[package]]
 name = "opentelemetry-instrumentation"
-version = "0.49b2"
+version = "0.50b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation-0.49b2-py3-none-any.whl", hash = "sha256:f6d782b0ef9fef4a4c745298651c65f5c532c34cd4c40d230ab5b9f3b3b4d151"},
-    {file = "opentelemetry_instrumentation-0.49b2.tar.gz", hash = "sha256:8cf00cc8d9d479e4b72adb9bd267ec544308c602b7188598db5a687e77b298e2"},
+    {file = "opentelemetry_instrumentation-0.50b0-py3-none-any.whl", hash = "sha256:b8f9fc8812de36e1c6dffa5bfc6224df258841fb387b6dfe5df15099daa10630"},
+    {file = "opentelemetry_instrumentation-0.50b0.tar.gz", hash = "sha256:7d98af72de8dec5323e5202e46122e5f908592b22c6d24733aad619f07d82979"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.4,<2.0"
-opentelemetry-semantic-conventions = "0.49b2"
+opentelemetry-semantic-conventions = "0.50b0"
 packaging = ">=18.0"
 wrapt = ">=1.0.0,<2.0.0"
 
 [[package]]
 name = "opentelemetry-instrumentation-asgi"
-version = "0.49b2"
+version = "0.50b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_asgi-0.49b2-py3-none-any.whl", hash = "sha256:c8ede13ed781402458a800411cb7ec16a25386dc21de8e5b9a568b386a1dc5f4"},
-    {file = "opentelemetry_instrumentation_asgi-0.49b2.tar.gz", hash = "sha256:2af5faf062878330714efe700127b837038c4d9d3b70b451ab2424d5076d6c1c"},
+    {file = "opentelemetry_instrumentation_asgi-0.50b0-py3-none-any.whl", hash = "sha256:2ba1297f746e55dec5a17fe825689da0613662fb25c004c3965a6c54b1d5be22"},
+    {file = "opentelemetry_instrumentation_asgi-0.50b0.tar.gz", hash = "sha256:3ca4cb5616ae6a3e8ce86e7d5c360a8d8cc8ed722cf3dc8a5e44300774e87d49"},
 ]
 
 [package.dependencies]
 asgiref = ">=3.0,<4.0"
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.49b2"
-opentelemetry-semantic-conventions = "0.49b2"
-opentelemetry-util-http = "0.49b2"
+opentelemetry-instrumentation = "0.50b0"
+opentelemetry-semantic-conventions = "0.50b0"
+opentelemetry-util-http = "0.50b0"
 
 [package.extras]
 instruments = ["asgiref (>=3.0,<4.0)"]
 
 [[package]]
 name = "opentelemetry-instrumentation-fastapi"
-version = "0.49b2"
+version = "0.50b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_instrumentation_fastapi-0.49b2-py3-none-any.whl", hash = "sha256:c66331d05bf806d7ca4f9579c1db7383aad31a9f6665dbaa2b7c9a4c1e830892"},
-    {file = "opentelemetry_instrumentation_fastapi-0.49b2.tar.gz", hash = "sha256:3aa81ed7acf6aa5236d96e90a1218c5e84a9c0dce8fa63bf34ceee6218354b63"},
+    {file = "opentelemetry_instrumentation_fastapi-0.50b0-py3-none-any.whl", hash = "sha256:8f03b738495e4705fbae51a2826389c7369629dace89d0f291c06ffefdff5e52"},
+    {file = "opentelemetry_instrumentation_fastapi-0.50b0.tar.gz", hash = "sha256:16b9181682136da210295def2bb304a32fb9bdee9a935cdc9da43567f7c1149e"},
 ]
 
 [package.dependencies]
 opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.49b2"
-opentelemetry-instrumentation-asgi = "0.49b2"
-opentelemetry-semantic-conventions = "0.49b2"
-opentelemetry-util-http = "0.49b2"
+opentelemetry-instrumentation = "0.50b0"
+opentelemetry-instrumentation-asgi = "0.50b0"
+opentelemetry-semantic-conventions = "0.50b0"
+opentelemetry-util-http = "0.50b0"
 
 [package.extras]
 instruments = ["fastapi (>=0.58,<1.0)"]
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_proto-1.28.2-py3-none-any.whl", hash = "sha256:0837498f59db55086462915e5898d0b1a18c1392f6db4d7e937143072a72370c"},
-    {file = "opentelemetry_proto-1.28.2.tar.gz", hash = "sha256:7c0d125a6b71af88bfeeda16bfdd0ff63dc2cf0039baf6f49fa133b203e3f566"},
+    {file = "opentelemetry_proto-1.29.0-py3-none-any.whl", hash = "sha256:495069c6f5495cbf732501cdcd3b7f60fda2b9d3d4255706ca99b7ca8dec53ff"},
+    {file = "opentelemetry_proto-1.29.0.tar.gz", hash = "sha256:3c136aa293782e9b44978c738fff72877a4b78b5d21a64e879898db7b2d93e5d"},
 ]
 
 [package.dependencies]
@@ -4722,128 +4781,128 @@ protobuf = ">=5.0,<6.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.28.2"
+version = "1.29.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_sdk-1.28.2-py3-none-any.whl", hash = "sha256:93336c129556f1e3ccd21442b94d3521759541521861b2214c499571b85cb71b"},
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+    {file = "opentelemetry_sdk-1.29.0-py3-none-any.whl", hash = "sha256:173be3b5d3f8f7d671f20ea37056710217959e774e2749d984355d1f9391a30a"},
+    {file = "opentelemetry_sdk-1.29.0.tar.gz", hash = "sha256:b0787ce6aade6ab84315302e72bd7a7f2f014b0fb1b7c3295b88afe014ed0643"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.28.2"
-opentelemetry-semantic-conventions = "0.49b2"
+opentelemetry-api = "1.29.0"
+opentelemetry-semantic-conventions = "0.50b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.49b2"
+version = "0.50b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_semantic_conventions-0.49b2-py3-none-any.whl", hash = "sha256:51e7e1d0daa958782b6c2a8ed05e5f0e7dd0716fc327ac058777b8659649ee54"},
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+    {file = "opentelemetry_semantic_conventions-0.50b0-py3-none-any.whl", hash = "sha256:e87efba8fdb67fb38113efea6a349531e75ed7ffc01562f65b802fcecb5e115e"},
+    {file = "opentelemetry_semantic_conventions-0.50b0.tar.gz", hash = "sha256:02dc6dbcb62f082de9b877ff19a3f1ffaa3c306300fa53bfac761c4567c83d38"},
 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-opentelemetry-api = "1.28.2"
+opentelemetry-api = "1.29.0"
 
 [[package]]
 name = "opentelemetry-util-http"
-version = "0.49b2"
+version = "0.50b0"
 description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "opentelemetry_util_http-0.49b2-py3-none-any.whl", hash = "sha256:e325d6511c6bee7b43170eb0c93261a210ec57e20ab1d7a99838515ef6d2bf58"},
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+    {file = "opentelemetry_util_http-0.50b0-py3-none-any.whl", hash = "sha256:21f8aedac861ffa3b850f8c0a6c373026189eb8630ac6e14a2bf8c55695cc090"},
+    {file = "opentelemetry_util_http-0.50b0.tar.gz", hash = "sha256:dc4606027e1bc02aabb9533cc330dd43f874fca492e4175c31d7154f341754af"},
 ]
 
 [[package]]
 name = "orjson"
-version = "3.10.12"
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 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -5025,93 +5084,89 @@ ptyprocess = ">=0.5"
 
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 mic = ["olefile"]
-tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
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@@ -5170,13 +5225,13 @@ files = [
 
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@@ -5188,8 +5243,9 @@ six = ">=1.5"
 
 [package.extras]
 dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"]
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 name = "prefixcommons"
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 [package.dependencies]
@@ -5614,13 +5670,13 @@ requests = ">=2.14.0"
 
 [[package]]
 name = "pygments"
-version = "2.18.0"
+version = "2.19.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -5770,13 +5826,13 @@ tests = ["hypothesis (>=3.27.0)", "pytest (>=3.2.1,!=3.3.0)"]
 
 [[package]]
 name = "pyparsing"
-version = "3.2.0"
+version = "3.2.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
 files = [
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 [package.extras]
@@ -5908,13 +5964,13 @@ solrcloud = ["kazoo (>=2.5.0)"]
 
 [[package]]
 name = "pystow"
-version = "0.6.1"
+version = "0.7.0"
 description = "Easily pick a place to store data for your Python code"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -5925,10 +5981,10 @@ typing-extensions = "*"
 
 [package.extras]
 aws = ["boto3"]
-docs = ["sphinx (>=8)", "sphinx-click", "sphinx-rtd-theme (>=3.0)", "sphinx_automodapi"]
+docs = ["sphinx (>=8)", "sphinx-automodapi", "sphinx-click", "sphinx-rtd-theme (>=3.0)"]
 pandas = ["pandas"]
 rdf = ["rdflib"]
-tests = ["coverage", "pytest", "requests_file"]
+tests = ["coverage[toml]", "pytest", "requests-file"]
 xml = ["lxml"]
 
 [[package]]
@@ -5996,15 +6052,21 @@ cli = ["click (>=5.0)"]
 
 [[package]]
 name = "python-json-logger"
-version = "2.0.7"
-description = "A python library adding a json log formatter"
+version = "3.2.1"
+description = "JSON Log Formatter for the Python Logging Package"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
+[package.dependencies]
+typing_extensions = {version = "*", markers = "python_version < \"3.10\""}
+
+[package.extras]
+dev = ["backports.zoneinfo", "black", "build", "freezegun", "mdx_truly_sane_lists", "mike", "mkdocs", "mkdocs-awesome-pages-plugin", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-material (>=8.5)", "mkdocstrings[python]", "msgspec", "msgspec-python313-pre", "mypy", "orjson", "pylint", "pytest", "tzdata", "validate-pyproject[all]"]
+
 [[package]]
 name = "python-pptx"
 version = "1.0.2"
@@ -6322,23 +6384,23 @@ test = ["pytest (>=3.0)", "pytest-asyncio"]
 
 [[package]]
 name = "rdflib"
-version = "7.1.1"
+version = "7.1.2"
 description = "RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information."
 optional = false
-python-versions = "<4.0.0,>=3.8.1"
+python-versions = "<4,>=3.9"
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 [package.dependencies]
 isodate = {version = ">=0.7.2,<1.0.0", markers = "python_version < \"3.11\""}
-pyparsing = ">=2.1.0,<4"
+pyparsing = ">=3.2.0,<4"
 
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-html = ["html5rdf (>=1.2,<2)"]
-lxml = ["lxml (>=4.3,<6.0)"]
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+html = ["html5rdf (>=1.2.1,<2)"]
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 networkx = ["networkx (>=2,<4)"]
 orjson = ["orjson (>=3.9.14,<4)"]
 
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 [package.dependencies]
@@ -7008,11 +6997,11 @@ threadpoolctl = ">=3.1.0"
 [package.extras]
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 [[package]]
 name = "scipy"
@@ -7157,23 +7146,23 @@ train = ["accelerate (>=0.20.3)", "datasets"]
 
 [[package]]
 name = "setuptools"
-version = "75.6.0"
+version = "75.8.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
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 python-versions = ">=3.9"
 files = [
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 [package.extras]
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+type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
 name = "shellingham"
@@ -7202,24 +7191,24 @@ pyjsg = ">=0.11.10"
 
 [[package]]
 name = "six"
-version = "1.16.0"
+version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
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 ]
 
 [[package]]
 name = "smmap"
-version = "5.0.1"
+version = "5.0.2"
 description = "A pure Python implementation of a sliding window memory map manager"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
@@ -7304,23 +7293,29 @@ pandas = ["pandas (>=1.3.5)"]
 
 [[package]]
 name = "speechrecognition"
-version = "3.11.0"
+version = "3.14.0"
 description = "Library for performing speech recognition, with support for several engines and APIs, online and offline."
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 python-versions = ">=3.9"
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 ]
 
 [package.dependencies]
-requests = ">=2.26.0"
+audioop-lts = {version = "*", markers = "python_version >= \"3.13\""}
+standard-aifc = {version = "*", markers = "python_version >= \"3.13\""}
 typing-extensions = "*"
 
 [package.extras]
+assemblyai = ["requests"]
 audio = ["PyAudio (>=0.2.11)"]
-dev = ["flake8", "rstcheck"]
-whisper-api = ["openai"]
+dev = ["numpy", "pytest", "pytest-randomly", "respx"]
+faster-whisper = ["faster-whisper"]
+google-cloud = ["google-cloud-speech"]
+groq = ["groq", "httpx (<0.28)"]
+openai = ["httpx (<0.28)", "openai"]
+pocketsphinx = ["pocketsphinx (<5)"]
 whisper-local = ["openai-whisper", "soundfile"]
 
 [[package]]
@@ -7581,72 +7576,72 @@ whoosh = ["sqlalchemy", "whoosh"]
 
 [[package]]
 name = "sqlalchemy"
-version = "2.0.36"
+version = "2.0.37"
 description = "Database Abstraction Library"
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 python-versions = ">=3.7"
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@@ -7820,6 +7815,32 @@ pure-eval = "*"
 [package.extras]
 tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
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-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
-dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.20,<0.21)", "urllib3 (<2.0.0)"]
-dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.21,<0.22)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (>=2.8.1)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=1.0.11)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -8413,29 +8337,29 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-asyncio", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 tiktoken = ["blobfile", "tiktoken"]
-timm = ["timm (<=0.9.16)"]
-tokenizers = ["tokenizers (>=0.20,<0.21)"]
-torch = ["accelerate (>=0.26.0)", "torch"]
+timm = ["timm (<=1.0.11)"]
+tokenizers = ["tokenizers (>=0.21,<0.22)"]
+torch = ["accelerate (>=0.26.0)", "torch (>=2.0)"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.24.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.21,<0.22)", "torch (>=2.0)", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "trio"
-version = "0.27.0"
+version = "0.28.0"
 description = "A friendly Python library for async concurrency and I/O"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "trio-0.27.0-py3-none-any.whl", hash = "sha256:68eabbcf8f457d925df62da780eff15ff5dc68fd6b367e2dde59f7aaf2a0b884"},
-    {file = "trio-0.27.0.tar.gz", hash = "sha256:1dcc95ab1726b2da054afea8fd761af74bad79bd52381b84eae408e983c76831"},
+    {file = "trio-0.28.0-py3-none-any.whl", hash = "sha256:56d58977acc1635735a96581ec70513cc781b8b6decd299c487d3be2a721cd94"},
+    {file = "trio-0.28.0.tar.gz", hash = "sha256:4e547896fe9e8a5658e54e4c7c5fa1db748cbbbaa7c965e7d40505b928c73c05"},
 ]
 
 [package.dependencies]
@@ -8487,13 +8411,13 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "typer"
-version = "0.14.0"
+version = "0.15.1"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "typer-0.14.0-py3-none-any.whl", hash = "sha256:f476233a25770ab3e7b2eebf7c68f3bc702031681a008b20167573a4b7018f09"},
-    {file = "typer-0.14.0.tar.gz", hash = "sha256:af58f737f8d0c0c37b9f955a6d39000b9ff97813afcbeef56af5e37cf743b45a"},
+    {file = "typer-0.15.1-py3-none-any.whl", hash = "sha256:7994fb7b8155b64d3402518560648446072864beefd44aa2dc36972a5972e847"},
+    {file = "typer-0.15.1.tar.gz", hash = "sha256:a0588c0a7fa68a1978a069818657778f86abe6ff5ea6abf472f940a08bfe4f0a"},
 ]
 
 [package.dependencies]
@@ -8504,13 +8428,13 @@ typing-extensions = ">=3.7.4.3"
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.9.0.20241003"
+version = "2.9.0.20241206"
 description = "Typing stubs for python-dateutil"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "types-python-dateutil-2.9.0.20241003.tar.gz", hash = "sha256:58cb85449b2a56d6684e41aeefb4c4280631246a0da1a719bdbe6f3fb0317446"},
-    {file = "types_python_dateutil-2.9.0.20241003-py3-none-any.whl", hash = "sha256:250e1d8e80e7bbc3a6c99b907762711d1a1cdd00e978ad39cb5940f6f0a87f3d"},
+    {file = "types_python_dateutil-2.9.0.20241206-py3-none-any.whl", hash = "sha256:e248a4bc70a486d3e3ec84d0dc30eec3a5f979d6e7ee4123ae043eedbb987f53"},
+    {file = "types_python_dateutil-2.9.0.20241206.tar.gz", hash = "sha256:18f493414c26ffba692a72369fea7a154c502646301ebfe3d56a04b3767284cb"},
 ]
 
 [[package]]
@@ -8576,13 +8500,13 @@ six = "*"
 
 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
-    {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
+    {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
+    {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
 ]
 
 [package.dependencies]
@@ -8596,13 +8520,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.32.1"
+version = "0.34.0"
 description = "The lightning-fast ASGI server."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "uvicorn-0.32.1-py3-none-any.whl", hash = "sha256:82ad92fd58da0d12af7482ecdb5f2470a04c9c9a53ced65b9bbb4a205377602e"},
-    {file = "uvicorn-0.32.1.tar.gz", hash = "sha256:ee9519c246a72b1c084cea8d3b44ed6026e78a4a309cbedae9c37e4cb9fbb175"},
+    {file = "uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4"},
+    {file = "uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9"},
 ]
 
 [package.dependencies]
@@ -8704,13 +8628,13 @@ pyarrow = ">=15.0.0,<16.0.0"
 
 [[package]]
 name = "virtualenv"
-version = "20.28.0"
+version = "20.29.0"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "virtualenv-20.28.0-py3-none-any.whl", hash = "sha256:23eae1b4516ecd610481eda647f3a7c09aea295055337331bb4e6892ecce47b0"},
-    {file = "virtualenv-20.28.0.tar.gz", hash = "sha256:2c9c3262bb8e7b87ea801d715fae4495e6032450c71d2309be9550e7364049aa"},
+    {file = "virtualenv-20.29.0-py3-none-any.whl", hash = "sha256:c12311863497992dc4b8644f8ea82d3b35bb7ef8ee82e6630d76d0197c39baf9"},
+    {file = "virtualenv-20.29.0.tar.gz", hash = "sha256:6345e1ff19d4b1296954cee076baaf58ff2a12a84a338c62b02eda39f20aa982"},
 ]
 
 [package.dependencies]
@@ -8766,82 +8690,82 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "watchfiles"
-version = "1.0.0"
+version = "1.0.4"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "watchfiles-1.0.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:1d19df28f99d6a81730658fbeb3ade8565ff687f95acb59665f11502b441be5f"},
-    {file = "watchfiles-1.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:28babb38cf2da8e170b706c4b84aa7e4528a6fa4f3ee55d7a0866456a1662041"},
-    {file = "watchfiles-1.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:12ab123135b2f42517f04e720526d41448667ae8249e651385afb5cda31fedc0"},
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+    {file = "wrapt-1.17.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:62c2caa1585c82b3f7a7ab56afef7b3602021d6da34fbc1cf234ff139fed3cd9"},
+    {file = "wrapt-1.17.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c958bcfd59bacc2d0249dcfe575e71da54f9dcf4a8bdf89c4cb9a68a1170d73f"},
+    {file = "wrapt-1.17.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc78a84e2dfbc27afe4b2bd7c80c8db9bca75cc5b85df52bfe634596a1da846b"},
+    {file = "wrapt-1.17.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:ba0f0eb61ef00ea10e00eb53a9129501f52385c44853dbd6c4ad3f403603083f"},
+    {file = "wrapt-1.17.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1e1fe0e6ab7775fd842bc39e86f6dcfc4507ab0ffe206093e76d61cde37225c8"},
+    {file = "wrapt-1.17.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:c86563182421896d73858e08e1db93afdd2b947a70064b813d515d66549e15f9"},
+    {file = "wrapt-1.17.2-cp39-cp39-win32.whl", hash = "sha256:f393cda562f79828f38a819f4788641ac7c4085f30f1ce1a68672baa686482bb"},
+    {file = "wrapt-1.17.2-cp39-cp39-win_amd64.whl", hash = "sha256:36ccae62f64235cf8ddb682073a60519426fdd4725524ae38874adf72b5f2aeb"},
+    {file = "wrapt-1.17.2-py3-none-any.whl", hash = "sha256:b18f2d1533a71f069c7f82d524a52599053d4c7166e9dd374ae2136b7f40f7c8"},
+    {file = "wrapt-1.17.2.tar.gz", hash = "sha256:41388e9d4d1522446fe79d3213196bd9e3b301a336965b9e27ca2788ebd122f3"},
 ]
 
 [[package]]
diff --git a/pyproject.toml b/pyproject.toml
index 8809b89..e4b11b1 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "curategpt"
-version = "0.2.2"
+version = "0.2.3"
 description = "CurateGPT"
 authors = ["Chris Mungall <cjmungall@lbl.gov>", "Carlo Kroll <ckroll95@gmail.com>", "Harshad Hegde <hhegde@lbl.gov>", "J. Harry Caufield <jhc@lbl.gov>"]
 license = "BSD-3"
diff --git a/src/curategpt/store/db_adapter.py b/src/curategpt/store/db_adapter.py
index 4ea01cc..ad9fc26 100644
--- a/src/curategpt/store/db_adapter.py
+++ b/src/curategpt/store/db_adapter.py
@@ -214,9 +214,7 @@ def collection_metadata(
         :return:
         """
 
-    def set_collection_metadata(
-        self, collection_name: Optional[str], metadata: Metadata, **kwargs
-    ):
+    def set_collection_metadata(self, collection_name: Optional[str], metadata: Metadata, **kwargs):
         """
         Set the metadata for a collection.
 
@@ -488,6 +486,7 @@ def dump_then_load(self, collection: str = None, target: "DBAdapter" = None):
         """
         raise NotImplementedError
 
-    def insert_from_huggingface(self, objs: Union[OBJECT, Iterable[OBJECT]], collection: str = None, **kwargs):
+    def insert_from_huggingface(
+        self, objs: Union[OBJECT, Iterable[OBJECT]], collection: str = None, **kwargs
+    ):
         raise NotImplementedError
-
diff --git a/src/curategpt/store/duckdb_adapter.py b/src/curategpt/store/duckdb_adapter.py
index 9ce70b9..b17b660 100644
--- a/src/curategpt/store/duckdb_adapter.py
+++ b/src/curategpt/store/duckdb_adapter.py
@@ -292,7 +292,9 @@ def _process_objects(
 
         if collection not in self.list_collection_names():
             self._create_table_if_not_exists(
-                collection, self.vec_dimension, venomx=updated_venomx,
+                collection,
+                self.vec_dimension,
+                venomx=updated_venomx,
             )
 
         # if collection already exists, update metadata here
@@ -409,17 +411,17 @@ def _process_objects(
                     self.create_index(collection)
 
     def insert_from_huggingface(
-            self,
-            objs: Union[OBJECT, Iterable[OBJECT]],
-            collection: str = None,
-            batch_size: int = None,
-            text_field: Union[str, Callable] = None,
-            venomx: Optional[Metadata] = None,
-            object_type: Optional[str] = None,
-            distance: Optional[str] = None,
-            vec_dimension: Optional[int] = None,
-            method: str = "insert",
-            **kwargs,
+        self,
+        objs: Union[OBJECT, Iterable[OBJECT]],
+        collection: str = None,
+        batch_size: int = None,
+        text_field: Union[str, Callable] = None,
+        venomx: Optional[Metadata] = None,
+        object_type: Optional[str] = None,
+        distance: Optional[str] = None,
+        vec_dimension: Optional[int] = None,
+        method: str = "insert",
+        **kwargs,
     ):
         collection = self._get_collection(collection)
         model = None
@@ -434,7 +436,9 @@ def insert_from_huggingface(
                 vec_dimension = self._get_embedding_dimension(model)
 
         except Exception as e:
-            raise KeyError(f"Metadata from {collection} is not compatible with the current version of CurateGPT") from e
+            raise KeyError(
+                f"Metadata from {collection} is not compatible with the current version of CurateGPT"
+            ) from e
 
         updated_venomx = self.update_or_create_venomx(
             venomx.venomx,
@@ -446,9 +450,11 @@ def insert_from_huggingface(
         )
         if collection not in self.list_collection_names():
             self._create_table_if_not_exists(
-                collection, vec_dimension, venomx=updated_venomx,
+                collection,
+                vec_dimension,
+                venomx=updated_venomx,
             )
-        updated_venomx.venomx.id = collection # prevent name error
+        updated_venomx.venomx.id = collection  # prevent name error
         self.set_collection_metadata(collection_name=collection, metadata=updated_venomx)
         if batch_size is None:
             batch_size = 100000
@@ -464,11 +470,17 @@ def insert_from_huggingface(
 
         for next_objs in chunk(objs, batch_size):
             next_objs = list(next_objs)
-            ids = [item['metadata']['id'] for item in next_objs]
+            ids = [item["metadata"]["id"] for item in next_objs]
             metadatas = [self._dict(o) for o in next_objs]
-            documents = [item['document'] for item in next_objs]
-            embeddings = [item['embeddings'].tolist() if isinstance(item['embeddings'], np.ndarray)
-                          else item['embeddings'] for item in next_objs]
+            documents = [item["document"] for item in next_objs]
+            embeddings = [
+                (
+                    item["embeddings"].tolist()
+                    if isinstance(item["embeddings"], np.ndarray)
+                    else item["embeddings"]
+                )
+                for item in next_objs
+            ]
             try:
                 self.conn.execute("BEGIN TRANSACTION;")
                 self.conn.executemany(
@@ -484,16 +496,14 @@ def insert_from_huggingface(
             finally:
                 self.create_index(collection)
 
-
-
     def update_or_create_venomx(
-            self,
-            venomx: Optional[Index],
-            collection: str,
-            model: str,
-            distance: str,
-            object_type: str,
-            embeddings_dimension: Optional[int],
+        self,
+        venomx: Optional[Index],
+        collection: str,
+        model: str,
+        distance: str,
+        object_type: str,
+        embeddings_dimension: Optional[int],
     ) -> Metadata:
         """
         Updates an existing Index instance (venomx) with additional values or creates a new one if none is provided.
@@ -501,42 +511,42 @@ def update_or_create_venomx(
         # If venomx already exists, update its nested fields (as e.g. vec_dimension would not be given)
         if venomx:
             new_embedding_model = Model(name=model)
-            updated_index = venomx.model_copy(update={  # given venomx comes as venomx=Index()
-                "embedding_model": new_embedding_model,
-                "embeddings_dimensions": embeddings_dimension,
-            })
-
-            venomx = Metadata(
-                venomx=updated_index,
-                hnsw_space=distance,
-                object_type=object_type
+            updated_index = venomx.model_copy(
+                update={  # given venomx comes as venomx=Index()
+                    "embedding_model": new_embedding_model,
+                    "embeddings_dimensions": embeddings_dimension,
+                }
             )
 
+            venomx = Metadata(venomx=updated_index, hnsw_space=distance, object_type=object_type)
+
         else:
             if distance is None:
                 distance = self.distance_metric
-            venomx = self.populate_venomx(collection, model, distance, object_type, embeddings_dimension)
+            venomx = self.populate_venomx(
+                collection, model, distance, object_type, embeddings_dimension
+            )
 
         return venomx
 
     @staticmethod
     def populate_venomx(
-            collection: Optional[str],
-            model: Optional[str],
-            distance: str,
-            object_type: str,
-            embeddings_dimension: int,
+        collection: Optional[str],
+        model: Optional[str],
+        distance: str,
+        object_type: str,
+        embeddings_dimension: int,
     ) -> Metadata:
         """
-    Populate venomx with data currently given when inserting
+        Populate venomx with data currently given when inserting
 
-    :param collection:
-    :param model:
-    :param distance:
-    :param object_type:
-    :param embeddings_dimension:
-    :return:
-    """
+        :param collection:
+        :param model:
+        :param distance:
+        :param object_type:
+        :param embeddings_dimension:
+        :return:
+        """
         venomx = Metadata(
             venomx=Index(
                 id=collection,
@@ -544,7 +554,7 @@ def populate_venomx(
                 embeddings_dimensions=embeddings_dimension,
             ),
             hnsw_space=distance,
-            object_type=object_type
+            object_type=object_type,
         )
         return venomx
 
@@ -764,15 +774,17 @@ def update_collection_metadata(self, collection: str, **kwargs):
             raise ValueError("Collection name must be provided.")
         metadata = self.collection_metadata(collection)
         current_venomx = {**kwargs}
-        if metadata is None: # should not be possible
-            logger.warning(f"No existing metadata found for collection {collection}. Initializing new metadata.")
+        if metadata is None:  # should not be possible
+            logger.warning(
+                f"No existing metadata found for collection {collection}. Initializing new metadata."
+            )
             metadata = Metadata(venomx=Index(**current_venomx))
         else:
             metadata_dict = metadata.model_dump(exclude_none=True)
             # Check if the existing venomx has an embedding model and if it matches the one in kwargs
-            if 'venomx' in metadata_dict and metadata_dict['venomx'].get('embedding_model'):
-                existing_model_name = metadata_dict['venomx']['embedding_model'].get('name')
-                new_model_name = current_venomx.get('embedding_model', {}).get('name')
+            if "venomx" in metadata_dict and metadata_dict["venomx"].get("embedding_model"):
+                existing_model_name = metadata_dict["venomx"]["embedding_model"].get("name")
+                new_model_name = current_venomx.get("embedding_model", {}).get("name")
 
                 if new_model_name and existing_model_name and new_model_name != existing_model_name:
                     raise ValueError(
@@ -781,10 +793,10 @@ def update_collection_metadata(self, collection: str, **kwargs):
                     )
 
         # Merge current_venomx (from kwargs) into the nested venomx dictionary
-        if 'venomx' in metadata_dict and isinstance(metadata_dict['venomx'], dict):
-            metadata_dict['venomx'].update(current_venomx)
+        if "venomx" in metadata_dict and isinstance(metadata_dict["venomx"], dict):
+            metadata_dict["venomx"].update(current_venomx)
         else:
-            metadata_dict['venomx'] = current_venomx
+            metadata_dict["venomx"] = current_venomx
             # Reconstruct the Metadata object from the updated dictionary
             metadata = Metadata(**metadata_dict)
         updated_metadata_dict = metadata.model_dump(exclude_none=True)
@@ -799,9 +811,7 @@ def update_collection_metadata(self, collection: str, **kwargs):
         )
         return metadata
 
-    def set_collection_metadata(
-        self, collection_name: Optional[str], metadata: Metadata, **kwargs
-    ):
+    def set_collection_metadata(self, collection_name: Optional[str], metadata: Metadata, **kwargs):
         """
         Set the metadata for the collection
         :param collection_name:
@@ -816,7 +826,9 @@ def set_collection_metadata(
 
         if metadata:
             if metadata.venomx.id != collection_name:
-                raise ValueError(f"venomx.id: {metadata.venomx.id} must match collection_name {collection_name}")
+                raise ValueError(
+                    f"venomx.id: {metadata.venomx.id} must match collection_name {collection_name}"
+                )
 
             new_model = metadata.venomx.embedding_model.name
 
diff --git a/src/curategpt/store/duckdb_connection_handler.py b/src/curategpt/store/duckdb_connection_handler.py
index 5e05c83..9735154 100644
--- a/src/curategpt/store/duckdb_connection_handler.py
+++ b/src/curategpt/store/duckdb_connection_handler.py
@@ -33,6 +33,7 @@ def _kill_process(pid: int) -> None:
         """Kill a process if it's holding the database lock."""
         try:
             import psutil
+
             if psutil.pid_exists(pid):
                 process = psutil.Process(pid)
                 process.terminate()
@@ -65,11 +66,11 @@ def connect(self) -> duckdb.DuckDBPyConnection:
         - Now safely open the fixed database normally
 
         """
-        wal_path = Path(self.path + '.wal')
+        wal_path = Path(self.path + ".wal")
         if wal_path.exists():
             logger.info("Found WAL file, attempting recovery...")
             try:
-                temp_conn = duckdb.connect(':memory:')
+                temp_conn = duckdb.connect(":memory:")
                 self._load_vss_extensions(temp_conn)
                 temp_conn.execute(f"ATTACH '{self.path}' AS main_db")
                 temp_conn.execute("CHECKPOINT;")
diff --git a/src/curategpt/store/in_memory_adapter.py b/src/curategpt/store/in_memory_adapter.py
index 736610b..9b6d8dd 100644
--- a/src/curategpt/store/in_memory_adapter.py
+++ b/src/curategpt/store/in_memory_adapter.py
@@ -101,12 +101,8 @@ def insert(self, objs: Union[OBJECT, Iterable[OBJECT]], collection: str = None,
         """
         self._insert(objs, collection, **kwargs)
 
-
     def _insert(
-            self,
-            objs: Union[OBJECT, Iterable[OBJECT]],
-            collection: str = None,
-            venomx: Metadata = None
+        self, objs: Union[OBJECT, Iterable[OBJECT]], collection: str = None, venomx: Metadata = None
     ):
         collection_obj = self._get_collection_object(collection)
         if venomx is None:
@@ -121,33 +117,35 @@ def _insert(
 
     @staticmethod
     def populate_venomx(
-            collection: Optional[str],
-            model: Optional[str] = None,
-            distance: str = None,
-            object_type: str = None,
-            embeddings_dimension: int = None,
-            index_fields: Optional[Union[List[str], Tuple[str]]] = None,
+        collection: Optional[str],
+        model: Optional[str] = None,
+        distance: str = None,
+        object_type: str = None,
+        embeddings_dimension: int = None,
+        index_fields: Optional[Union[List[str], Tuple[str]]] = None,
     ) -> Metadata:
         """
-    Populate venomx with data currently given when inserting
+        Populate venomx with data currently given when inserting
 
-    :param collection:
-    :param model:
-    :param distance:
-    :param object_type:
-    :param embeddings_dimension:
-    :param index_fields:
-    :return:
-    """
+        :param collection:
+        :param model:
+        :param distance:
+        :param object_type:
+        :param embeddings_dimension:
+        :param index_fields:
+        :return:
+        """
         venomx = Metadata(
             venomx=Index(
                 id=collection,
                 embedding_model=Model(name=model),
                 embeddings_dimensions=embeddings_dimension,
-                embedding_input_method=ModelInputMethod(fields=index_fields) if index_fields else None
+                embedding_input_method=(
+                    ModelInputMethod(fields=index_fields) if index_fields else None
+                ),
             ),
             hnsw_space=distance,
-            object_type=object_type
+            object_type=object_type,
         )
         return venomx
 
@@ -200,9 +198,7 @@ def collection_metadata(
             cm.object_count = len(collection_obj.objects)
         return cm
 
-    def set_collection_metadata(
-        self, collection_name: Optional[str], metadata: Metadata, **kwargs
-    ):
+    def set_collection_metadata(self, collection_name: Optional[str], metadata: Metadata, **kwargs):
         """
         Set the metadata for a collection.
 
@@ -215,7 +211,6 @@ def set_collection_metadata(
         #     raise ValueError(f"venomx.id: {metadata.venomx.id} must match collection_name {collection_name} and should not be changed")
         collection_obj.metadata = metadata.model_dump(exclude_none=True)
 
-
     def update_collection_metadata(self, collection_name: str, **kwargs) -> Metadata:
         """
         Update the metadata for a collection.
diff --git a/src/curategpt/store/metadata.py b/src/curategpt/store/metadata.py
index 9d1dbd6..264d18d 100644
--- a/src/curategpt/store/metadata.py
+++ b/src/curategpt/store/metadata.py
@@ -46,13 +46,13 @@ def deserialize_venomx_metadata_from_adapter(cls, metadata_dict: dict, adapter:
         :param adapter: Adapter name (e.g., 'chroma', 'duckdb').
         :return: Metadata instance.
         """
-        if adapter == 'chromadb':
+        if adapter == "chromadb":
             # Deserialize '_venomx' (str) back into 'venomx' (dict)
             if "_venomx" in metadata_dict:
                 venomx_json = metadata_dict.pop("_venomx")
                 metadata_dict["venomx"] = Index(**json.loads(venomx_json))
         # for 'duckdb', 'venomx' remains as is
-        if adapter == 'duckdb':
+        if adapter == "duckdb":
             metadata_dict = metadata_dict
         return cls(**metadata_dict)
 
@@ -64,25 +64,18 @@ def serialize_venomx_metadata_for_adapter(self, adapter: str) -> dict:
         :param adapter: Adapter name (e.g., 'chroma', 'duckdb').
         :return: Metadata dictionary.
         """
-        if adapter == 'chromadb':
+        if adapter == "chromadb":
             # Serialize 'venomx' (dict) into '_venomx' (str)
             metadata_dict = self.model_dump(
-                exclude={"venomx"},
-                exclude_unset=True,
-                exclude_none=True
+                exclude={"venomx"}, exclude_unset=True, exclude_none=True
             )
             if self.venomx:
                 metadata_dict["_venomx"] = json.dumps(self.venomx.model_dump())
             return metadata_dict
-        elif adapter == 'duckdb':
+        elif adapter == "duckdb":
             metadata_dict = self.model_dump(
-                exclude={"_venomx"},
-                exclude_unset=True,
-                exclude_none=True
+                exclude={"_venomx"}, exclude_unset=True, exclude_none=True
             )
             return metadata_dict
         else:
             raise ValueError(f"Unsupported adapter: {adapter}")
-
-
-