diff --git a/poetry.lock b/poetry.lock
index 0e50214..2b11f23 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,13 +2,13 @@
 
 [[package]]
 name = "accelerate"
-version = "1.0.1"
+version = "1.2.1"
 description = "Accelerate"
 optional = false
-python-versions = ">=3.8.0"
+python-versions = ">=3.9.0"
 files = [
-    {file = "accelerate-1.0.1-py3-none-any.whl", hash = "sha256:c6aa0c7b8a797cb150471e90e3ca36ac41f5d4b40512cdd6f058b8bf25589467"},
-    {file = "accelerate-1.0.1.tar.gz", hash = "sha256:e8f95fc2db14915dc0a9182edfcf3068e5ddb2fa310b583717ad44e5c442399c"},
+    {file = "accelerate-1.2.1-py3-none-any.whl", hash = "sha256:be1cbb958cf837e7cdfbde46b812964b1b8ae94c9c7d94d921540beafcee8ddf"},
+    {file = "accelerate-1.2.1.tar.gz", hash = "sha256:03e161fc69d495daf2b9b5c8d5b43d06e2145520c04727b5bda56d49f1a43ab5"},
 ]
 
 [package.dependencies]
@@ -33,35 +33,35 @@ testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized",
 
 [[package]]
 name = "anyio"
-version = "4.6.2.post1"
+version = "4.7.0"
 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-4.7.0-py3-none-any.whl", hash = "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"},
+    {file = "anyio-4.7.0.tar.gz", hash = "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48"},
 ]
 
 [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)", "pytest-mock (>=3.6.1)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "argcomplete"
-version = "3.5.1"
+version = "3.5.2"
 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-3.5.2-py3-none-any.whl", hash = "sha256:036d020d79048a5d525bc63880d7a4b8d1668566b8a76daf1144c0bbe0f63472"},
+    {file = "argcomplete-3.5.2.tar.gz", hash = "sha256:23146ed7ac4403b70bd6026402468942ceba34a6732255b9edf5b7354f68a6bb"},
 ]
 
 [package.extras]
@@ -69,57 +69,55 @@ test = ["coverage", "mypy", "pexpect", "ruff", "wheel"]
 
 [[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 = "bcrypt"
-version = "4.2.0"
+version = "4.2.1"
 description = "Modern password hashing for your software and your servers"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "bcrypt-4.2.1-cp39-abi3-win32.whl", hash = "sha256:b588af02b89d9fad33e5f98f7838bf590d6d692df7153647724a7f20c186f6bf"},
+    {file = "bcrypt-4.2.1-cp39-abi3-win_amd64.whl", hash = "sha256:e84e0e6f8e40a242b11bce56c313edc2be121cec3e0ec2d76fce01f6af33c07c"},
+    {file = "bcrypt-4.2.1-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:76132c176a6d9953cdc83c296aeaed65e1a708485fd55abf163e0d9f8f16ce0e"},
+    {file = "bcrypt-4.2.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:e158009a54c4c8bc91d5e0da80920d048f918c61a581f0a63e4e93bb556d362f"},
+    {file = "bcrypt-4.2.1.tar.gz", hash = "sha256:6765386e3ab87f569b276988742039baab087b2cdb01e809d74e74503c2faafe"},
 ]
 
 [package.extras]
@@ -128,13 +126,13 @@ typecheck = ["mypy"]
 
 [[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"},
-    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
+    {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
+    {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
 ]
 
 [[package]]
@@ -357,13 +355,13 @@ files = [
 
 [[package]]
 name = "colorlog"
-version = "6.8.2"
+version = "6.9.0"
 description = "Add colours to the output of Python's logging module."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "colorlog-6.8.2-py3-none-any.whl", hash = "sha256:4dcbb62368e2800cb3c5abd348da7e53f6c362dda502ec27c560b2e58a66bd33"},
-    {file = "colorlog-6.8.2.tar.gz", hash = "sha256:3e3e079a41feb5a1b64f978b5ea4f46040a94f11f0e8bbb8261e3dbbeca64d44"},
+    {file = "colorlog-6.9.0-py3-none-any.whl", hash = "sha256:5906e71acd67cb07a71e779c47c4bcb45fb8c2993eebe9e5adcd6a6f1b283eff"},
+    {file = "colorlog-6.9.0.tar.gz", hash = "sha256:bfba54a1b93b94f54e1f4fe48395725a3d92fd2a4af702f6bd70946bdc0c6ac2"},
 ]
 
 [package.dependencies]
@@ -374,51 +372,51 @@ development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 
 [[package]]
 name = "cryptography"
-version = "43.0.3"
+version = "44.0.0"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "cryptography-43.0.3-cp37-abi3-macosx_10_9_universal2.whl", hash = "sha256:bf7a1932ac4176486eab36a19ed4c0492da5d97123f1406cf15e41b05e787d2e"},
-    {file = "cryptography-43.0.3-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63efa177ff54aec6e1c0aefaa1a241232dcd37413835a9b674b6e3f0ae2bfd3e"},
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-nox = ["nox"]
-pep8test = ["check-sdist", "click", "mypy", "ruff"]
-sdist = ["build"]
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 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi", "cryptography-vectors (==43.0.3)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test = ["certifi (>=2024)", "cryptography-vectors (==44.0.0)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -434,20 +432,20 @@ files = [
 
 [[package]]
 name = "deprecated"
-version = "1.2.14"
+version = "1.2.15"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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 files = [
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 [package.dependencies]
 wrapt = ">=1.10,<2"
 
 [package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "jinja2 (>=3.0.3,<3.1.0)", "setuptools", "sphinx (<2)", "tox"]
 
 [[package]]
 name = "dill"
@@ -777,13 +775,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.6"
+version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -798,13 +796,13 @@ trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
-version = "0.27.2"
+version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -812,7 +810,6 @@ anyio = "*"
 certifi = "*"
 httpcore = "==1.*"
 idna = "*"
-sniffio = "*"
 
 [package.extras]
 brotli = ["brotli", "brotlicffi"]
@@ -823,13 +820,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.26.1"
+version = "0.26.5"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -988,19 +985,21 @@ files = [
 
 [[package]]
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-version = "3.3.0"
-description = "Python library for serializing arbitrary object graphs into JSON"
+version = "4.0.1"
+description = "jsonpickle encodes/decodes any Python object to/from JSON"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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+cov = ["pytest-cov"]
+dev = ["black", "pyupgrade"]
+docs = ["furo", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
+packaging = ["build", "setuptools (>=61.2)", "setuptools-scm[toml] (>=6.0)", "twine"]
+testing = ["PyYAML", "atheris (>=2.3.0,<2.4.0)", "bson", "ecdsa", "feedparser", "gmpy2", "numpy", "pandas", "pymongo", "pytest (>=6.0,!=8.1.*)", "pytest-benchmark", "pytest-benchmark[histogram]", "pytest-checkdocs (>=1.2.3)", "pytest-enabler (>=1.0.1)", "pytest-ruff (>=0.2.1)", "scikit-learn", "scipy", "scipy (>=1.9.3)", "simplejson", "sqlalchemy", "ujson"]
 
 [[package]]
 name = "lockfile"
@@ -1015,12 +1014,12 @@ files = [
 
 [[package]]
 name = "luigi"
-version = "3.5.2"
+version = "3.6.0"
 description = "Workflow mgmgt + task scheduling + dependency resolution."
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -1376,13 +1375,13 @@ files = [
 
 [[package]]
 name = "packaging"
-version = "24.1"
+version = "24.2"
 description = "Core utilities for Python packages"
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 python-versions = ">=3.8"
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 ]
 
 [[package]]
@@ -1596,13 +1595,13 @@ files = [
 
 [[package]]
 name = "pydot"
-version = "3.0.2"
+version = "3.0.3"
 description = "Python interface to Graphviz's Dot"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -1666,20 +1665,20 @@ tests = ["hypothesis (>=3.27.0)", "pytest (>=3.2.1,!=3.3.0)"]
 
 [[package]]
 name = "pyopenssl"
-version = "24.2.1"
+version = "24.3.0"
 description = "Python wrapper module around the OpenSSL library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
-cryptography = ">=41.0.5,<44"
+cryptography = ">=41.0.5,<45"
 
 [package.extras]
-docs = ["sphinx (!=5.2.0,!=5.2.0.post0,!=7.2.5)", "sphinx-rtd-theme"]
+docs = ["sphinx (!=5.2.0,!=5.2.0.post0,!=7.2.5)", "sphinx_rtd_theme"]
 test = ["pretend", "pytest (>=3.0.1)", "pytest-rerunfailures"]
 
 [[package]]
@@ -1734,13 +1733,13 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
 
 [[package]]
 name = "pytest-exasol-backend"
-version = "0.3.0"
+version = "0.3.2"
 description = ""
 optional = false
 python-versions = "<4,>=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -1767,40 +1766,41 @@ pytest-exasol-backend = ">=0.2.0"
 
 [[package]]
 name = "pytest-exasol-slc"
-version = "0.3.0"
+version = "0.3.1"
 description = ""
 optional = false
 python-versions = "<4,>=3.10"
 files = [
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 ]
 
 [package.dependencies]
-exasol-python-extension-common = ">=0.5.0"
+exasol-python-extension-common = ">=0.8.0,<1.0.0"
 pytest = ">=7,<9"
-pytest-exasol-backend = ">=0.3.0"
-pytest-exasol-extension = ">=0.1.0"
+pytest-exasol-backend = ">=0.3.1,<1.0.0"
+pytest-exasol-extension = ">=0.2.1,<1.0.0"
 
 [[package]]
 name = "python-daemon"
-version = "3.0.1"
+version = "3.1.2"
 description = "Library to implement a well-behaved Unix daemon process."
 optional = false
-python-versions = ">=3"
+python-versions = ">=3.7"
 files = [
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 [package.dependencies]
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 lockfile = ">=0.10"
-setuptools = ">=62.4.0"
 
 [package.extras]
-devel = ["coverage", "docutils", "isort", "testscenarios (>=0.4)", "testtools", "twine"]
-test = ["coverage", "docutils", "testscenarios (>=0.4)", "testtools"]
+build = ["build", "changelog-chug", "docutils", "python-daemon[doc]", "wheel"]
+devel = ["python-daemon[dist,test]"]
+dist = ["python-daemon[build]", "twine"]
+static-analysis = ["isort (>=5.13,<6.0)", "pip-check", "pycodestyle (>=2.12,<3.0)", "pydocstyle (>=6.3,<7.0)", "pyupgrade (>=3.17,<4.0)"]
+test = ["coverage", "python-daemon[build,static-analysis]", "testscenarios (>=0.4)", "testtools"]
 
 [[package]]
 name = "python-dateutil"
@@ -1918,105 +1918,105 @@ files = [
 
 [[package]]
 name = "regex"
-version = "2024.9.11"
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 description = "Alternative regular expression module, to replace re."
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 python-versions = ">=3.8"
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 name = "simplejson"
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 [package.dependencies]
@@ -2611,81 +2556,82 @@ optree = ["optree (>=0.12.0)"]
 
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 [[package]]
 name = "tqdm"
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 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
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+discord = ["requests"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
 [[package]]
 name = "transformers"
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+version = "4.47.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
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 ]
 
 [package.dependencies]
 accelerate = {version = ">=0.26.0", optional = true, markers = "extra == \"torch\""}
 filelock = "*"
-huggingface-hub = ">=0.23.2,<1.0"
+huggingface-hub = ">=0.24.0,<1.0"
 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
-tokenizers = ">=0.20,<0.21"
+tokenizers = ">=0.21,<0.22"
 torch = {version = "*", optional = true, markers = "extra == \"torch\""}
 tqdm = ">=4.27"
 
 [package.extras]
 accelerate = ["accelerate (>=0.26.0)"]
 agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
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 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
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 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 ftfy = ["ftfy"]
@@ -2711,13 +2657,13 @@ tf = ["keras-nlp (>=0.3.1,<0.14.0)", "onnxconverter-common", "tensorflow (>2.9,<
 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)"]
+timm = ["timm (<=1.0.11)"]
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 torch = ["accelerate (>=0.26.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
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-video = ["av (==9.2.0)", "decord (==0.6.0)"]
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+video = ["av (==9.2.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
@@ -2744,13 +2690,13 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "typeguard"
-version = "4.3.0"
+version = "4.4.1"
 description = "Run-time type checker for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -2815,13 +2761,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "virtualenv"
-version = "20.27.0"
+version = "20.28.0"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2851,92 +2797,87 @@ test = ["websockets"]
 
 [[package]]
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 optional = false
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+    {file = "wrapt-1.17.0-cp313-cp313t-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0229b247b0fc7dee0d36176cbb79dbaf2a9eb7ecc50ec3121f40ef443155fb1d"},
+    {file = "wrapt-1.17.0-cp313-cp313t-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8425cfce27b8b20c9b89d77fb50e368d8306a90bf2b6eef2cdf5cd5083adf83f"},
+    {file = "wrapt-1.17.0-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:9c900108df470060174108012de06d45f514aa4ec21a191e7ab42988ff42a86c"},
+    {file = "wrapt-1.17.0-cp313-cp313t-musllinux_1_2_i686.whl", hash = "sha256:4e547b447073fc0dbfcbff15154c1be8823d10dab4ad401bdb1575e3fdedff1b"},
+    {file = "wrapt-1.17.0-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:914f66f3b6fc7b915d46c1cc424bc2441841083de01b90f9e81109c9759e43ab"},
+    {file = "wrapt-1.17.0-cp313-cp313t-win32.whl", hash = "sha256:a4192b45dff127c7d69b3bdfb4d3e47b64179a0b9900b6351859f3001397dabf"},
+    {file = "wrapt-1.17.0-cp313-cp313t-win_amd64.whl", hash = "sha256:4f643df3d4419ea3f856c5c3f40fec1d65ea2e89ec812c83f7767c8730f9827a"},
+    {file = "wrapt-1.17.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:69c40d4655e078ede067a7095544bcec5a963566e17503e75a3a3e0fe2803b13"},
+    {file = "wrapt-1.17.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f495b6754358979379f84534f8dd7a43ff8cff2558dcdea4a148a6e713a758f"},
+    {file = "wrapt-1.17.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:baa7ef4e0886a6f482e00d1d5bcd37c201b383f1d314643dfb0367169f94f04c"},
+    {file = "wrapt-1.17.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a8fc931382e56627ec4acb01e09ce66e5c03c384ca52606111cee50d931a342d"},
+    {file = "wrapt-1.17.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:8f8909cdb9f1b237786c09a810e24ee5e15ef17019f7cecb207ce205b9b5fcce"},
+    {file = "wrapt-1.17.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:ad47b095f0bdc5585bced35bd088cbfe4177236c7df9984b3cc46b391cc60627"},
+    {file = "wrapt-1.17.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:948a9bd0fb2c5120457b07e59c8d7210cbc8703243225dbd78f4dfc13c8d2d1f"},
+    {file = "wrapt-1.17.0-cp38-cp38-win32.whl", hash = "sha256:5ae271862b2142f4bc687bdbfcc942e2473a89999a54231aa1c2c676e28f29ea"},
+    {file = "wrapt-1.17.0-cp38-cp38-win_amd64.whl", hash = "sha256:f335579a1b485c834849e9075191c9898e0731af45705c2ebf70e0cd5d58beed"},
+    {file = "wrapt-1.17.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d751300b94e35b6016d4b1e7d0e7bbc3b5e1751e2405ef908316c2a9024008a1"},
+    {file = "wrapt-1.17.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7264cbb4a18dc4acfd73b63e4bcfec9c9802614572025bdd44d0721983fc1d9c"},
+    {file = "wrapt-1.17.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:33539c6f5b96cf0b1105a0ff4cf5db9332e773bb521cc804a90e58dc49b10578"},
+    {file = "wrapt-1.17.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c30970bdee1cad6a8da2044febd824ef6dc4cc0b19e39af3085c763fdec7de33"},
+    {file = "wrapt-1.17.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:bc7f729a72b16ee21795a943f85c6244971724819819a41ddbaeb691b2dd85ad"},
+    {file = "wrapt-1.17.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:6ff02a91c4fc9b6a94e1c9c20f62ea06a7e375f42fe57587f004d1078ac86ca9"},
+    {file = "wrapt-1.17.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:2dfb7cff84e72e7bf975b06b4989477873dcf160b2fd89959c629535df53d4e0"},
+    {file = "wrapt-1.17.0-cp39-cp39-win32.whl", hash = "sha256:2399408ac33ffd5b200480ee858baa58d77dd30e0dd0cab6a8a9547135f30a88"},
+    {file = "wrapt-1.17.0-cp39-cp39-win_amd64.whl", hash = "sha256:4f763a29ee6a20c529496a20a7bcb16a73de27f5da6a843249c7047daf135977"},
+    {file = "wrapt-1.17.0-py3-none-any.whl", hash = "sha256:d2c63b93548eda58abf5188e505ffed0229bf675f7c3090f8e36ad55b8cbc371"},
+    {file = "wrapt-1.17.0.tar.gz", hash = "sha256:16187aa2317c731170a88ef35e8937ae0f533c402872c1ee5e6d079fcf320801"},
 ]
 
 [[package]]
 name = "zipp"
-version = "3.20.2"
+version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
-    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
+    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
 ]
 
 [package.extras]
diff --git a/tests/unit_tests/udf_wrapper_params/base_udf/error_not_cached_multiple_model_multiple_batch.py b/tests/unit_tests/udf_wrapper_params/base_udf/error_not_cached_multiple_model_multiple_batch.py
index eddad3b..feea4f3 100644
--- a/tests/unit_tests/udf_wrapper_params/base_udf/error_not_cached_multiple_model_multiple_batch.py
+++ b/tests/unit_tests/udf_wrapper_params/base_udf/error_not_cached_multiple_model_multiple_batch.py
@@ -1,13 +1,13 @@
 from pathlib import PurePosixPath
 from exasol_udf_mock_python.connection import Connection
-from tests.unit_tests.udf_wrapper_params.token_classification.make_data_row_functions import make_input_row, \
-    make_output_row, make_input_row_with_span, make_output_row_with_span, bucketfs_conn, \
-    sub_dir, text_docid, text_start, text_end, agg_strategy_simple, make_model_output_for_one_input_row, make_number_of_strings, text_data
+from tests.unit_tests.udf_wrapper_params.base_udf.make_data_row_functions import make_input_row, \
+    make_output_row, bucketfs_conn, \
+    sub_dir,  make_model_output_for_one_input_row, make_number_of_strings
 
 
 class ErrorNotCachedMultipleModelMultipleBatch:
     """
-    not cached error, multiple model, multiple batch
+    not cached error, multiple model, multiple batch todo
     """
     expected_model_counter = 1
     batch_size = 3
@@ -16,27 +16,17 @@ class ErrorNotCachedMultipleModelMultipleBatch:
 
     bfs_conn1, bfs_conn2 = make_number_of_strings(bucketfs_conn, 2)
     subdir1, subdir2 = make_number_of_strings(sub_dir, 2)
-    text1, text2 = make_number_of_strings(text_data, 2)
 
-    input_data = make_input_row(bucketfs_conn=bfs_conn1, sub_dir=subdir1, text_data=text1) * data_size + \
+    input_data = make_input_row(bucketfs_conn=bfs_conn1, sub_dir=subdir1,) * data_size + \
                  make_input_row(bucketfs_conn=bfs_conn2, sub_dir=subdir2,
-                                model_name="non_existing_model",text_data=text2) * data_size
+                                model_name="non_existing_model",) * data_size
 
-    output_data = make_output_row(bucketfs_conn=bfs_conn1, sub_dir=subdir1, text_data=text1) * n_entities * data_size + \
+    output_data = make_output_row(bucketfs_conn=bfs_conn1, sub_dir=subdir1, ) * n_entities * data_size + \
                   make_output_row(bucketfs_conn=bfs_conn2, sub_dir=subdir2,
-                                  model_name="non_existing_model",text_data=text2,
-                                  score=None, start=None, end=None, word=None, entity=None,
+                                  model_name="non_existing_model",
+                                  score=None, answer=None,
                                   error_msg="Traceback") * 1 * data_size #error on load_model -> only one output per input
 
-    work_with_span_input_data = make_input_row_with_span(bucketfs_conn=bfs_conn1, sub_dir=subdir1,text_data=text1) * data_size + \
-                                make_input_row_with_span(bucketfs_conn=bfs_conn2, sub_dir=subdir2,
-                                                         model_name="non_existing_model",text_data=text2) * data_size
-
-    work_with_span_output_data1 = make_output_row_with_span(bucketfs_conn=bfs_conn1, sub_dir=subdir1) * n_entities * data_size
-    work_with_span_output_data2 = [(bfs_conn2, subdir2, "non_existing_model", text_docid, text_start, text_end, agg_strategy_simple,
-                                   None, None, None, text_docid, None, None,"Traceback")] * 1 * data_size #error on load_model -> only one output per input
-    work_with_span_output_data = work_with_span_output_data1 + work_with_span_output_data2
-
     tokenizer_model_output_df_model1 =  [make_model_output_for_one_input_row(number_entities=n_entities) * data_size]
     tokenizer_model_output_df_model2_batch1 = [] # no model loaded so no model to output anything
     tokenizer_model_output_df_model2_batch2 =  [] # no model loaded so no model to output anything
diff --git a/tests/unit_tests/udf_wrapper_params/base_udf/error_not_cached_single_model_multiple_batch.py b/tests/unit_tests/udf_wrapper_params/base_udf/error_not_cached_single_model_multiple_batch.py
index c84e525..2154217 100644
--- a/tests/unit_tests/udf_wrapper_params/base_udf/error_not_cached_single_model_multiple_batch.py
+++ b/tests/unit_tests/udf_wrapper_params/base_udf/error_not_cached_single_model_multiple_batch.py
@@ -1,8 +1,8 @@
 from pathlib import PurePosixPath
 from exasol_udf_mock_python.connection import Connection
-from tests.unit_tests.udf_wrapper_params.token_classification.make_data_row_functions import make_input_row, \
-    make_output_row, make_input_row_with_span, make_output_row_with_span, bucketfs_conn, \
-    text_docid, text_start, text_end, agg_strategy_simple, sub_dir, model_name, make_model_output_for_one_input_row, make_number_of_strings
+from tests.unit_tests.udf_wrapper_params.base_udf.make_data_row_functions import make_input_row, \
+    make_output_row, bucketfs_conn, \
+    sub_dir, model_name, make_model_output_for_one_input_row, make_number_of_strings
 
 
 class ErrorNotCachedSingleModelMultipleBatch:
@@ -16,21 +16,15 @@ class ErrorNotCachedSingleModelMultipleBatch:
 
     input_data = make_input_row(model_name="non_existing_model") * data_size
     output_data = make_output_row(model_name="non_existing_model",
-                                  score=None, start=None, end=None, word=None, entity=None,
+                                  score=None, answer=None,
                                   error_msg="Traceback") * 1 * data_size #error on load_model -> only one output per input
 
-    work_with_span_input_data = make_input_row_with_span(model_name="non_existing_model") * data_size
-    work_with_span_output_data =  [(bucketfs_conn, sub_dir, "non_existing_model",
-                                text_docid, text_start, text_end, agg_strategy_simple,
-                                None, None, None, text_docid, None, None,
-                                "Traceback")] * 1 * data_size #error on load_model -> only one output per input
-
     tokenizer_models_output_df = [] # no model loaded so no model to output anything
 
     tmpdir_name = "_".join(("/tmpdir", __qualname__))
-    base_cache_dir1 = PurePosixPath(tmpdir_name, "bfs_conn1")
+    base_cache_dir1 = PurePosixPath(tmpdir_name, bucketfs_conn)
     bfs_connections = {
-        "bfs_conn1": Connection(address=f"file://{base_cache_dir1}")
+        bucketfs_conn: Connection(address=f"file://{base_cache_dir1}")
     }
 
 
diff --git a/tests/unit_tests/udf_wrapper_params/base_udf/make_data_row_functions.py b/tests/unit_tests/udf_wrapper_params/base_udf/make_data_row_functions.py
new file mode 100644
index 0000000..49b71db
--- /dev/null
+++ b/tests/unit_tests/udf_wrapper_params/base_udf/make_data_row_functions.py
@@ -0,0 +1,51 @@
+# default values, used for input/output rows if no other params are given
+device_id=None
+bucketfs_conn="bfs_conn"
+sub_dir="sub_dir"
+model_name="model"
+token_conn=None
+
+answer="answer"
+score=0.1
+error_msg = None
+
+def make_input_row(device_id=device_id, model_name=model_name, sub_dir=sub_dir,
+                   bucketfs_conn=bucketfs_conn, token_conn=token_conn):
+    """
+    Creates an input row for token classification without span usage as a list,
+    using default values for all parameters that are not specified.
+    """
+    return [(device_id, model_name, sub_dir, bucketfs_conn, token_conn)]
+
+def make_output_row(model_name=model_name, sub_dir=sub_dir,
+                   bucketfs_conn=bucketfs_conn, token_conn=token_conn,
+                    answer=answer, score=score, error_msg=error_msg):
+    """
+    Creates an output row for token classification without span usage as a list,
+    using default values for all parameters that are not specified.
+    The found token is called "word" in our non span udf output,
+    while the type/class of the found token is called "entity".
+    """
+    return [( model_name, sub_dir, bucketfs_conn, token_conn, answer, score, error_msg)]
+
+def make_model_output_for_one_input_row(number_entities:int, answer=answer, score=score):
+    """
+    Makes the output the model returns to the udf for one input row.
+    The found token is called "word" in the model output,
+    while the type/class of the found token is called "entity_group".
+    Unless aggregation_strategy == "none", then the type/class of the found
+    token is called "entity" in the model output.
+    returns a list of number_entities times the model output row.
+    each model output row is a dictionary.
+    """
+    model_output_single_entities = {'answer': answer, 'score': score}
+
+    return [[model_output_single_entities] * number_entities] #todo test where this is not in list?
+
+
+def make_number_of_strings(input_str: str, desired_number: int):#todo move this to utils?
+    """
+    Returns desired number of "input_strX", where X is counting up to desired_number.
+    """
+    return (input_str + f"{i}" for i in range(desired_number))
+
diff --git a/tests/unit_tests/udfs/base_model_dummy_implementation.py b/tests/unit_tests/udfs/base_model_dummy_implementation.py
index f15ea1f..9711918 100644
--- a/tests/unit_tests/udfs/base_model_dummy_implementation.py
+++ b/tests/unit_tests/udfs/base_model_dummy_implementation.py
@@ -14,7 +14,7 @@ def __init__(self,
                  base_model=transformers.AutoModel,
                  tokenizer=transformers.AutoTokenizer):
         super().__init__(exa, batch_size, pipeline, base_model,
-                         tokenizer, 'dummy_task')
+                         tokenizer, task_type='dummy_task')
         self._desired_fields_in_prediction = ["answer", "score"]
         self.new_columns = ["answer", "score", "error_message"]
 
@@ -24,8 +24,9 @@ def extract_unique_param_based_dataframes(
 
     def execute_prediction(self, model_df: pd.DataFrame) -> \
             List[Union[Dict[str, Any], List[Dict[str, Any]]]]:
-        dummy_result = [{"answer": True, "score": "1"}]
-        return dummy_result
+        dummy_result = [{"answer": True, "score": "1"}]#todo this should return model.frompretrained
+        results = self.last_created_pipeline()
+        return results
 
     def append_predictions_to_input_dataframe(
             self, model_df: pd.DataFrame, pred_df_list: List[pd.DataFrame]) \
diff --git a/tests/unit_tests/udfs/test_base_udf.py b/tests/unit_tests/udfs/test_base_udf.py
index 8cae1b5..804d04e 100644
--- a/tests/unit_tests/udfs/test_base_udf.py
+++ b/tests/unit_tests/udfs/test_base_udf.py
@@ -7,6 +7,12 @@
 from exasol_udf_mock_python.connection import Connection
 from exasol_udf_mock_python.mock_meta_data import MockMetaData
 
+from tests.unit_tests.udf_wrapper_params.base_udf.error_not_cached_multiple_model_multiple_batch import \
+    ErrorNotCachedMultipleModelMultipleBatch
+from tests.unit_tests.udf_wrapper_params.base_udf.error_not_cached_single_model_multiple_batch import \
+    ErrorNotCachedSingleModelMultipleBatch
+from tests.unit_tests.udfs.test_token_classification import assert_result_matches_expected_output, \
+    assert_correct_number_of_results
 from tests.unit_tests.utils_for_udf_tests import create_mock_exa_environment, create_mock_udf_context, \
     create_mock_exa_environment_with_token_con, create_base_mock_model_factories, \
     create_mock_model_factories_with_models, create_mock_pipeline_factory
@@ -29,6 +35,7 @@ def __repr__(self):
 
 def create_mock_metadata() -> MockMetaData:
     meta = MockMetaData(
+        script_code_wrapper_function=None,
         input_type="SET",
         input_columns=[
             Column("device_id", int, "INTEGER"),
@@ -77,10 +84,9 @@ def setup_base_udf_tests_and_run(bfs_connections, input_data, number_of_intended
     mock_base_model_factory, mock_tokenizer_factory = create_mock_model_factories_with_models(number_of_intended_used_models)
     mock_meta = create_mock_metadata()
     mock_exa = create_mock_exa_environment(mock_meta, bfs_connections)
-
-    mock_pipeline = create_mock_pipeline_factory(tokenizer_models_output_df, number_of_intended_used_models)
+    mock_pipeline_factory = create_mock_pipeline_factory(tokenizer_models_output_df, number_of_intended_used_models)
     mock_ctx = create_mock_udf_context(input_data, mock_meta)
-    res = run_test(mock_exa, mock_base_model_factory, mock_tokenizer_factory, mock_pipeline, mock_ctx)
+    res = run_test(mock_exa, mock_base_model_factory, mock_tokenizer_factory, mock_pipeline_factory, mock_ctx)
     return res, mock_meta
 
 def setup_model_loader_tests_and_run(bucketfs_conn_name, bucketfs_conn, input_data):#todo do we need?
@@ -98,7 +104,10 @@ def setup_model_loader_tests_and_run(bucketfs_conn_name, bucketfs_conn, input_da
     res = run_test(mock_exa, mock_base_model_factory, mock_tokenizer_factory, mock_pipeline, mock_ctx)
     return res, mock_meta
 
-
+@pytest.mark.parametrize("params", [
+    ErrorNotCachedSingleModelMultipleBatch,
+    ErrorNotCachedMultipleModelMultipleBatch
+])
 @patch('exasol.python_extension_common.connections.bucketfs_location.create_bucketfs_location_from_conn_object')
 @patch('exasol_transformers_extension.utils.bucketfs_operations.get_local_bucketfs_path')
 def test_base_model_udf(mock_local_path, mock_create_loc, params):
@@ -110,15 +119,22 @@ def test_base_model_udf(mock_local_path, mock_create_loc, params):
     bfs_connections = params.bfs_connections
     expected_model_counter = params.expected_model_counter
     tokenizer_models_output_df = params.tokenizer_models_output_df
+    tokenizer_model_output_df_model1 = params.tokenizer_model_output_df_model1
+    print(tokenizer_model_output_df_model1)
+    print("___________________________")
     #batch_size = params.batch_size
     expected_output_data = params.output_data
 
     res, mock_meta = setup_base_udf_tests_and_run(bfs_connections, input_data,
                                                   expected_model_counter,
                                                   tokenizer_models_output_df)
-    # check if no errors
-    # todo better asserts
-    assert res[0][-1] is None and len(res[0]) == len(mock_meta.output_columns)
+    print(res)
+
+    #todo moce these out of token class tests
+    assert_correct_number_of_results(res, mock_meta.output_columns, expected_output_data)
+    assert_result_matches_expected_output(res, expected_output_data,  mock_meta.input_columns)
+    #assert len(mock_pipeline_factory.mock_calls) == expected_model_counter
+
 
 @pytest.mark.parametrize(["description", "bucketfs_conn_name", "bucketfs_conn",
                          "sub_dir", "model_name"], [