diff --git a/poetry.lock b/poetry.lock
index fd62da3..f9ec0d4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -4,7 +4,7 @@
 name = "absl-py"
 version = "2.1.0"
 description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
@@ -15,7 +15,7 @@ files = [
 name = "aiohappyeyeballs"
 version = "2.4.0"
 description = "Happy Eyeballs for asyncio"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
@@ -26,7 +26,7 @@ files = [
 name = "aiohttp"
 version = "3.10.5"
 description = "Async http client/server framework (asyncio)"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "aiohttp-3.10.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:18a01eba2574fb9edd5f6e5fb25f66e6ce061da5dab5db75e13fe1558142e0a3"},
@@ -138,7 +138,7 @@ speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 name = "aiosignal"
 version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "aiosignal-1.3.1-py3-none-any.whl", hash = "sha256:f8376fb07dd1e86a584e4fcdec80b36b7f81aac666ebc724e2c090300dd83b17"},
@@ -250,17 +250,6 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin
 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", "uvloop (>=0.17)"]
 trio = ["trio (>=0.23)"]
 
-[[package]]
-name = "appnope"
-version = "0.1.4"
-description = "Disable App Nap on macOS >= 10.9"
-optional = true
-python-versions = ">=3.6"
-files = [
-    {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
-    {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
-]
-
 [[package]]
 name = "array-api-compat"
 version = "1.7.1"
@@ -280,29 +269,11 @@ numpy = ["numpy"]
 pytorch = ["pytorch"]
 sparse = ["sparse (>=0.15.1)"]
 
-[[package]]
-name = "asttokens"
-version = "2.4.1"
-description = "Annotate AST trees with source code positions"
-optional = true
-python-versions = "*"
-files = [
-    {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
-    {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
-]
-
-[package.dependencies]
-six = ">=1.12.0"
-
-[package.extras]
-astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
-test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
-
 [[package]]
 name = "astunparse"
 version = "1.6.3"
 description = "An AST unparser for Python"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "astunparse-1.6.3-py2.py3-none-any.whl", hash = "sha256:c2652417f2c8b5bb325c885ae329bdf3f86424075c4fd1a128674bc6fba4b8e8"},
@@ -317,7 +288,7 @@ wheel = ">=0.23.0,<1.0"
 name = "async-timeout"
 version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "async-timeout-4.0.3.tar.gz", hash = "sha256:4640d96be84d82d02ed59ea2b7105a0f7b33abe8703703cd0ab0bf87c427522f"},
@@ -395,27 +366,6 @@ test = ["beautifulsoup4 (>=4.8.0)", "coverage (>=4.5.4)", "fixtures (>=3.0.0)",
 toml = ["tomli (>=1.1.0)"]
 yaml = ["PyYAML"]
 
-[[package]]
-name = "beautifulsoup4"
-version = "4.12.3"
-description = "Screen-scraping library"
-optional = true
-python-versions = ">=3.6.0"
-files = [
-    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
-    {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
-]
-
-[package.dependencies]
-soupsieve = ">1.2"
-
-[package.extras]
-cchardet = ["cchardet"]
-chardet = ["chardet"]
-charset-normalizer = ["charset-normalizer"]
-html5lib = ["html5lib"]
-lxml = ["lxml"]
-
 [[package]]
 name = "black"
 version = "24.8.0"
@@ -462,24 +412,6 @@ d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
-[[package]]
-name = "bleach"
-version = "6.1.0"
-description = "An easy safelist-based HTML-sanitizing tool."
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "bleach-6.1.0-py3-none-any.whl", hash = "sha256:3225f354cfc436b9789c66c4ee030194bee0568fbf9cbdad3bc8b5c26c5f12b6"},
-    {file = "bleach-6.1.0.tar.gz", hash = "sha256:0a31f1837963c41d46bbf1331b8778e1308ea0791db03cc4e7357b97cf42a8fe"},
-]
-
-[package.dependencies]
-six = ">=1.9.0"
-webencodings = "*"
-
-[package.extras]
-css = ["tinycss2 (>=1.1.0,<1.3)"]
-
 [[package]]
 name = "bottleneck"
 version = "1.4.0"
@@ -541,7 +473,7 @@ doc = ["gitpython", "numpydoc", "sphinx"]
 name = "cachetools"
 version = "5.5.0"
 description = "Extensible memoizing collections and decorators"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "cachetools-5.5.0-py3-none-any.whl", hash = "sha256:02134e8439cdc2ffb62023ce1debca2944c3f289d66bb17ead3ab3dede74b292"},
@@ -766,7 +698,7 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "cloudpickle"
 version = "3.0.0"
 description = "Pickler class to extend the standard pickle.Pickler functionality"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"},
@@ -784,23 +716,6 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
-[[package]]
-name = "comm"
-version = "0.2.2"
-description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"},
-    {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"},
-]
-
-[package.dependencies]
-traitlets = ">=4"
-
-[package.extras]
-test = ["pytest"]
-
 [[package]]
 name = "contourpy"
 version = "1.3.0"
@@ -1126,7 +1041,7 @@ files = [
 name = "datasets"
 version = "3.0.0"
 description = "HuggingFace community-driven open-source library of datasets"
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 files = [
     {file = "datasets-3.0.0-py3-none-any.whl", hash = "sha256:c23fefb6c953dcb1cd5f6deb6c502729c733ef98791e0c3f2d80c7ca2d9a01dd"},
@@ -1164,64 +1079,22 @@ tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0
 torch = ["torch"]
 vision = ["Pillow (>=9.4.0)"]
 
-[[package]]
-name = "debugpy"
-version = "1.8.5"
-description = "An implementation of the Debug Adapter Protocol for Python"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "debugpy-1.8.5-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:7e4d594367d6407a120b76bdaa03886e9eb652c05ba7f87e37418426ad2079f7"},
-    {file = "debugpy-1.8.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4413b7a3ede757dc33a273a17d685ea2b0c09dbd312cc03f5534a0fd4d40750a"},
-    {file = "debugpy-1.8.5-cp310-cp310-win32.whl", hash = "sha256:dd3811bd63632bb25eda6bd73bea8e0521794cda02be41fa3160eb26fc29e7ed"},
-    {file = "debugpy-1.8.5-cp310-cp310-win_amd64.whl", hash = "sha256:b78c1250441ce893cb5035dd6f5fc12db968cc07f91cc06996b2087f7cefdd8e"},
-    {file = "debugpy-1.8.5-cp311-cp311-macosx_12_0_universal2.whl", hash = "sha256:606bccba19f7188b6ea9579c8a4f5a5364ecd0bf5a0659c8a5d0e10dcee3032a"},
-    {file = "debugpy-1.8.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db9fb642938a7a609a6c865c32ecd0d795d56c1aaa7a7a5722d77855d5e77f2b"},
-    {file = "debugpy-1.8.5-cp311-cp311-win32.whl", hash = "sha256:4fbb3b39ae1aa3e5ad578f37a48a7a303dad9a3d018d369bc9ec629c1cfa7408"},
-    {file = "debugpy-1.8.5-cp311-cp311-win_amd64.whl", hash = "sha256:345d6a0206e81eb68b1493ce2fbffd57c3088e2ce4b46592077a943d2b968ca3"},
-    {file = "debugpy-1.8.5-cp312-cp312-macosx_12_0_universal2.whl", hash = "sha256:5b5c770977c8ec6c40c60d6f58cacc7f7fe5a45960363d6974ddb9b62dbee156"},
-    {file = "debugpy-1.8.5-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c0a65b00b7cdd2ee0c2cf4c7335fef31e15f1b7056c7fdbce9e90193e1a8c8cb"},
-    {file = "debugpy-1.8.5-cp312-cp312-win32.whl", hash = "sha256:c9f7c15ea1da18d2fcc2709e9f3d6de98b69a5b0fff1807fb80bc55f906691f7"},
-    {file = "debugpy-1.8.5-cp312-cp312-win_amd64.whl", hash = "sha256:28ced650c974aaf179231668a293ecd5c63c0a671ae6d56b8795ecc5d2f48d3c"},
-    {file = "debugpy-1.8.5-cp38-cp38-macosx_12_0_x86_64.whl", hash = "sha256:3df6692351172a42af7558daa5019651f898fc67450bf091335aa8a18fbf6f3a"},
-    {file = "debugpy-1.8.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1cd04a73eb2769eb0bfe43f5bfde1215c5923d6924b9b90f94d15f207a402226"},
-    {file = "debugpy-1.8.5-cp38-cp38-win32.whl", hash = "sha256:8f913ee8e9fcf9d38a751f56e6de12a297ae7832749d35de26d960f14280750a"},
-    {file = "debugpy-1.8.5-cp38-cp38-win_amd64.whl", hash = "sha256:a697beca97dad3780b89a7fb525d5e79f33821a8bc0c06faf1f1289e549743cf"},
-    {file = "debugpy-1.8.5-cp39-cp39-macosx_12_0_x86_64.whl", hash = "sha256:0a1029a2869d01cb777216af8c53cda0476875ef02a2b6ff8b2f2c9a4b04176c"},
-    {file = "debugpy-1.8.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e84c276489e141ed0b93b0af648eef891546143d6a48f610945416453a8ad406"},
-    {file = "debugpy-1.8.5-cp39-cp39-win32.whl", hash = "sha256:ad84b7cde7fd96cf6eea34ff6c4a1b7887e0fe2ea46e099e53234856f9d99a34"},
-    {file = "debugpy-1.8.5-cp39-cp39-win_amd64.whl", hash = "sha256:7b0fe36ed9d26cb6836b0a51453653f8f2e347ba7348f2bbfe76bfeb670bfb1c"},
-    {file = "debugpy-1.8.5-py2.py3-none-any.whl", hash = "sha256:55919dce65b471eff25901acf82d328bbd5b833526b6c1364bd5133754777a44"},
-    {file = "debugpy-1.8.5.zip", hash = "sha256:b2112cfeb34b4507399d298fe7023a16656fc553ed5246536060ca7bd0e668d0"},
-]
-
 [[package]]
 name = "decorator"
 version = "5.1.1"
 description = "Decorators for Humans"
-optional = true
+optional = false
 python-versions = ">=3.5"
 files = [
     {file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
 ]
 
-[[package]]
-name = "defusedxml"
-version = "0.7.1"
-description = "XML bomb protection for Python stdlib modules"
-optional = true
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-files = [
-    {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"},
-    {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"},
-]
-
 [[package]]
 name = "dill"
 version = "0.3.8"
 description = "serialize all of Python"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "dill-0.3.8-py3-none-any.whl", hash = "sha256:c36ca9ffb54365bdd2f8eb3eff7d2a21237f8452b57ace88b1ac615b7e815bd7"},
@@ -1247,7 +1120,7 @@ files = [
 name = "dlomix"
 version = "0.1.2"
 description = "Deep Learning for Proteomics"
-optional = true
+optional = false
 python-versions = "*"
 files = []
 develop = false
@@ -1255,9 +1128,7 @@ develop = false
 [package.dependencies]
 datasets = "*"
 fpdf = "*"
-ipykernel = {version = "*", optional = true, markers = "extra == \"rltl-report\""}
 matplotlib = "*"
-nbconvert = {version = "*", optional = true, markers = "extra == \"rltl-report\""}
 numpy = "*"
 pandas = "*"
 pyarrow = "*"
@@ -1265,7 +1136,6 @@ scikit-learn = "*"
 seaborn = "*"
 tensorflow = ">=2.13,<2.16"
 tensorflow_probability = ">=0.21"
-wandb = {version = ">=0.15", optional = true, markers = "extra == \"wandb\""}
 
 [package.extras]
 dev = ["black", "pylint", "pytest (>=3.7)", "pytest-cov", "setuptools", "twine", "wheel"]
@@ -1282,7 +1152,7 @@ resolved_reference = "7ca51877703900a488965f635e42f4c12069c0d4"
 name = "dm-tree"
 version = "0.1.8"
 description = "Tree is a library for working with nested data structures."
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "dm-tree-0.1.8.tar.gz", hash = "sha256:0fcaabbb14e7980377439e7140bd05552739ca5e515ecb3119f234acee4b9430"},
@@ -1404,34 +1274,6 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
-[[package]]
-name = "executing"
-version = "2.1.0"
-description = "Get the currently executing AST node of a frame, and other information"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"},
-    {file = "executing-2.1.0.tar.gz", hash = "sha256:8ea27ddd260da8150fa5a708269c4a10e76161e2496ec3e587da9e3c0fe4b9ab"},
-]
-
-[package.extras]
-tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
-
-[[package]]
-name = "fastjsonschema"
-version = "2.20.0"
-description = "Fastest Python implementation of JSON schema"
-optional = true
-python-versions = "*"
-files = [
-    {file = "fastjsonschema-2.20.0-py3-none-any.whl", hash = "sha256:5875f0b0fa7a0043a91e93a9b8f793bcbbba9691e7fd83dca95c28ba26d21f0a"},
-    {file = "fastjsonschema-2.20.0.tar.gz", hash = "sha256:3d48fc5300ee96f5d116f10fe6f28d938e6008f59a6a025c2649475b87f76a23"},
-]
-
-[package.extras]
-devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benchmark", "pytest-cache", "validictory"]
-
 [[package]]
 name = "filelock"
 version = "3.16.0"
@@ -1535,7 +1377,7 @@ develop = ["build", "twine"]
 name = "flatbuffers"
 version = "24.3.25"
 description = "The FlatBuffers serialization format for Python"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "flatbuffers-24.3.25-py2.py3-none-any.whl", hash = "sha256:8dbdec58f935f3765e4f7f3cf635ac3a77f83568138d6a2311f524ec96364812"},
@@ -1611,7 +1453,7 @@ woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 name = "fpdf"
 version = "1.7.2"
 description = "Simple PDF generation for Python"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "fpdf-1.7.2.tar.gz", hash = "sha256:125840783289e7d12552b1e86ab692c37322e7a65b96a99e0ea86cca041b6779"},
@@ -1621,7 +1463,7 @@ files = [
 name = "frozenlist"
 version = "1.4.1"
 description = "A list-like structure which implements collections.abc.MutableSequence"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "frozenlist-1.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f9aa1878d1083b276b0196f2dfbe00c9b7e752475ed3b682025ff20c1c1f51ac"},
@@ -1707,7 +1549,7 @@ files = [
 name = "fsspec"
 version = "2024.6.1"
 description = "File-system specification"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "fsspec-2024.6.1-py3-none-any.whl", hash = "sha256:3cb443f8bcd2efb31295a5b9fdb02aee81d8452c80d28f97a6d0959e6cee101e"},
@@ -1749,7 +1591,7 @@ tqdm = ["tqdm"]
 name = "gast"
 version = "0.6.0"
 description = "Python AST that abstracts the underlying Python version"
-optional = true
+optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
 files = [
     {file = "gast-0.6.0-py3-none-any.whl", hash = "sha256:52b182313f7330389f72b069ba00f174cfe2a06411099547288839c6cbafbd54"},
@@ -1792,7 +1634,7 @@ test = ["coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit",
 name = "google-auth"
 version = "2.34.0"
 description = "Google Authentication Library"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "google_auth-2.34.0-py2.py3-none-any.whl", hash = "sha256:72fd4733b80b6d777dcde515628a9eb4a577339437012874ea286bca7261ee65"},
@@ -1815,7 +1657,7 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 name = "google-auth-oauthlib"
 version = "1.2.1"
 description = "Google Authentication Library"
-optional = true
+optional = false
 python-versions = ">=3.6"
 files = [
     {file = "google_auth_oauthlib-1.2.1-py2.py3-none-any.whl", hash = "sha256:2d58a27262d55aa1b87678c3ba7142a080098cbc2024f903c62355deb235d91f"},
@@ -1833,7 +1675,7 @@ tool = ["click (>=6.0.0)"]
 name = "google-pasta"
 version = "0.2.0"
 description = "pasta is an AST-based Python refactoring library"
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "google-pasta-0.2.0.tar.gz", hash = "sha256:c9f2c8dfc8f96d0d5808299920721be30c9eec37f2389f28904f454565c8a16e"},
@@ -1950,7 +1792,7 @@ numpy = ">=1.17.3"
 name = "huggingface-hub"
 version = "0.24.7"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
-optional = true
+optional = false
 python-versions = ">=3.8.0"
 files = [
     {file = "huggingface_hub-0.24.7-py3-none-any.whl", hash = "sha256:a212c555324c8a7b1ffdd07266bb7e7d69ca71aa238d27b7842d65e9a26ac3e5"},
@@ -2072,95 +1914,6 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
-[[package]]
-name = "ipykernel"
-version = "6.29.5"
-description = "IPython Kernel for Jupyter"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"},
-    {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"},
-]
-
-[package.dependencies]
-appnope = {version = "*", markers = "platform_system == \"Darwin\""}
-comm = ">=0.1.1"
-debugpy = ">=1.6.5"
-ipython = ">=7.23.1"
-jupyter-client = ">=6.1.12"
-jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-matplotlib-inline = ">=0.1"
-nest-asyncio = "*"
-packaging = "*"
-psutil = "*"
-pyzmq = ">=24"
-tornado = ">=6.1"
-traitlets = ">=5.4.0"
-
-[package.extras]
-cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
-pyqt5 = ["pyqt5"]
-pyside6 = ["pyside6"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.23.5)", "pytest-cov", "pytest-timeout"]
-
-[[package]]
-name = "ipython"
-version = "8.18.1"
-description = "IPython: Productive Interactive Computing"
-optional = true
-python-versions = ">=3.9"
-files = [
-    {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"},
-    {file = "ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27"},
-]
-
-[package.dependencies]
-colorama = {version = "*", markers = "sys_platform == \"win32\""}
-decorator = "*"
-exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
-jedi = ">=0.16"
-matplotlib-inline = "*"
-pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
-prompt-toolkit = ">=3.0.41,<3.1.0"
-pygments = ">=2.4.0"
-stack-data = "*"
-traitlets = ">=5"
-typing-extensions = {version = "*", markers = "python_version < \"3.10\""}
-
-[package.extras]
-all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
-black = ["black"]
-doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
-kernel = ["ipykernel"]
-nbconvert = ["nbconvert"]
-nbformat = ["nbformat"]
-notebook = ["ipywidgets", "notebook"]
-parallel = ["ipyparallel"]
-qtconsole = ["qtconsole"]
-test = ["pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath", "trio"]
-
-[[package]]
-name = "jedi"
-version = "0.19.1"
-description = "An autocompletion tool for Python that can be used for text editors."
-optional = true
-python-versions = ">=3.6"
-files = [
-    {file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
-    {file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
-]
-
-[package.dependencies]
-parso = ">=0.8.3,<0.9.0"
-
-[package.extras]
-docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
-qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
-testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
-
 [[package]]
 name = "jinja2"
 version = "3.1.4"
@@ -2203,100 +1956,11 @@ files = [
     {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
 ]
 
-[[package]]
-name = "jsonschema"
-version = "4.23.0"
-description = "An implementation of JSON Schema validation for Python"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
-    {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
-]
-
-[package.dependencies]
-attrs = ">=22.2.0"
-jsonschema-specifications = ">=2023.03.6"
-referencing = ">=0.28.4"
-rpds-py = ">=0.7.1"
-
-[package.extras]
-format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
-format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=24.6.0)"]
-
-[[package]]
-name = "jsonschema-specifications"
-version = "2023.12.1"
-description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
-    {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
-]
-
-[package.dependencies]
-referencing = ">=0.31.0"
-
-[[package]]
-name = "jupyter-client"
-version = "8.6.2"
-description = "Jupyter protocol implementation and client libraries"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "jupyter_client-8.6.2-py3-none-any.whl", hash = "sha256:50cbc5c66fd1b8f65ecb66bc490ab73217993632809b6e505687de18e9dea39f"},
-    {file = "jupyter_client-8.6.2.tar.gz", hash = "sha256:2bda14d55ee5ba58552a8c53ae43d215ad9868853489213f37da060ced54d8df"},
-]
-
-[package.dependencies]
-importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
-jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-python-dateutil = ">=2.8.2"
-pyzmq = ">=23.0"
-tornado = ">=6.2"
-traitlets = ">=5.3"
-
-[package.extras]
-docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"]
-
-[[package]]
-name = "jupyter-core"
-version = "5.7.2"
-description = "Jupyter core package. A base package on which Jupyter projects rely."
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"},
-    {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"},
-]
-
-[package.dependencies]
-platformdirs = ">=2.5"
-pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
-traitlets = ">=5.3"
-
-[package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
-test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"]
-
-[[package]]
-name = "jupyterlab-pygments"
-version = "0.3.0"
-description = "Pygments theme using JupyterLab CSS variables"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "jupyterlab_pygments-0.3.0-py3-none-any.whl", hash = "sha256:841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780"},
-    {file = "jupyterlab_pygments-0.3.0.tar.gz", hash = "sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"},
-]
-
 [[package]]
 name = "keras"
 version = "2.15.0"
 description = "Deep learning for humans."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "keras-2.15.0-py3-none-any.whl", hash = "sha256:2dcc6d2e30cf9c951064b63c1f4c404b966c59caf09e01f3549138ec8ee0dd1f"},
@@ -2446,7 +2110,7 @@ tritonclient = {version = ">=2.23,<2.41 || >2.41", extras = ["grpc"], markers =
 name = "libclang"
 version = "18.1.1"
 description = "Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier."
-optional = true
+optional = false
 python-versions = "*"
 files = [
     {file = "libclang-18.1.1-1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:0b2e143f0fac830156feb56f9231ff8338c20aecfe72b4ffe96f19e5a1dbb69a"},
@@ -2649,7 +2313,7 @@ source = ["Cython (>=3.0.11)"]
 name = "markdown"
 version = "3.7"
 description = "Python implementation of John Gruber's Markdown."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "Markdown-3.7-py3-none-any.whl", hash = "sha256:7eb6df5690b81a1d7942992c97fad2938e956e79df20cbc6186e9c3a77b1c803"},
@@ -2839,20 +2503,6 @@ python-dateutil = ">=2.7"
 [package.extras]
 dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
 
-[[package]]
-name = "matplotlib-inline"
-version = "0.1.7"
-description = "Inline Matplotlib backend for Jupyter"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"},
-    {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"},
-]
-
-[package.dependencies]
-traitlets = "*"
-
 [[package]]
 name = "mccabe"
 version = "0.7.0"
@@ -2875,22 +2525,11 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
-[[package]]
-name = "mistune"
-version = "3.0.2"
-description = "A sane and fast Markdown parser with useful plugins and renderers"
-optional = true
-python-versions = ">=3.7"
-files = [
-    {file = "mistune-3.0.2-py3-none-any.whl", hash = "sha256:71481854c30fdbc938963d3605b72501f5c10a9320ecd412c121c163a1c7d205"},
-    {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"},
-]
-
 [[package]]
 name = "ml-dtypes"
 version = "0.3.2"
 description = ""
-optional = true
+optional = false
 python-versions = ">=3.9"
 files = [
     {file = "ml_dtypes-0.3.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7afde548890a92b41c0fed3a6c525f1200a5727205f73dc21181a2726571bb53"},
@@ -2974,7 +2613,7 @@ docs = ["ipykernel (>=5.3.0)", "nbsphinx (>=0.7.1)", "numpydoc (>=1.0.0)", "reco
 name = "multidict"
 version = "6.1.0"
 description = "multidict implementation"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
@@ -3078,7 +2717,7 @@ typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 name = "multiprocess"
 version = "0.70.16"
 description = "better multiprocessing and multithreading in Python"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "multiprocess-0.70.16-pp310-pypy310_pp73-macosx_10_13_x86_64.whl", hash = "sha256:476887be10e2f59ff183c006af746cb6f1fd0eadcfd4ef49e605cbe2659920ee"},
@@ -3171,98 +2810,6 @@ files = [
 fast = ["fastnumbers (>=2.0.0)"]
 icu = ["PyICU (>=1.0.0)"]
 
-[[package]]
-name = "nbclient"
-version = "0.10.0"
-description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
-optional = true
-python-versions = ">=3.8.0"
-files = [
-    {file = "nbclient-0.10.0-py3-none-any.whl", hash = "sha256:f13e3529332a1f1f81d82a53210322476a168bb7090a0289c795fe9cc11c9d3f"},
-    {file = "nbclient-0.10.0.tar.gz", hash = "sha256:4b3f1b7dba531e498449c4db4f53da339c91d449dc11e9af3a43b4eb5c5abb09"},
-]
-
-[package.dependencies]
-jupyter-client = ">=6.1.12"
-jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-nbformat = ">=5.1"
-traitlets = ">=5.4"
-
-[package.extras]
-dev = ["pre-commit"]
-docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"]
-test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0,<8)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
-
-[[package]]
-name = "nbconvert"
-version = "7.16.4"
-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 = true
-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"},
-]
-
-[package.dependencies]
-beautifulsoup4 = "*"
-bleach = "!=5.0.0"
-defusedxml = "*"
-importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
-jinja2 = ">=3.0"
-jupyter-core = ">=4.7"
-jupyterlab-pygments = "*"
-markupsafe = ">=2.0"
-mistune = ">=2.0.3,<4"
-nbclient = ">=0.5.0"
-nbformat = ">=5.7"
-packaging = "*"
-pandocfilters = ">=1.4.1"
-pygments = ">=2.4.1"
-tinycss2 = "*"
-traitlets = ">=5.1"
-
-[package.extras]
-all = ["flaky", "ipykernel", "ipython", "ipywidgets (>=7.5)", "myst-parser", "nbsphinx (>=0.2.12)", "playwright", "pydata-sphinx-theme", "pyqtwebengine (>=5.15)", "pytest (>=7)", "sphinx (==5.0.2)", "sphinxcontrib-spelling", "tornado (>=6.1)"]
-docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sphinx-theme", "sphinx (==5.0.2)", "sphinxcontrib-spelling"]
-qtpdf = ["pyqtwebengine (>=5.15)"]
-qtpng = ["pyqtwebengine (>=5.15)"]
-serve = ["tornado (>=6.1)"]
-test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest (>=7)"]
-webpdf = ["playwright"]
-
-[[package]]
-name = "nbformat"
-version = "5.10.4"
-description = "The Jupyter Notebook format"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"},
-    {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"},
-]
-
-[package.dependencies]
-fastjsonschema = ">=2.15"
-jsonschema = ">=2.6"
-jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-traitlets = ">=5.1"
-
-[package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"]
-test = ["pep440", "pre-commit", "pytest", "testpath"]
-
-[[package]]
-name = "nest-asyncio"
-version = "1.6.0"
-description = "Patch asyncio to allow nested event loops"
-optional = true
-python-versions = ">=3.5"
-files = [
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@@ -3510,7 +3057,7 @@ files = [
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 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
-optional = true
+optional = false
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 version = "3.3.0"
 description = "Optimizing numpys einsum function"
-optional = true
+optional = false
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-
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 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 
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 test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
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@@ -4040,7 +3508,7 @@ test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
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+    {file = "scikit_learn-1.5.2-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f7284ade780084d94505632241bf78c44ab3b6f1e8ccab3d2af58e0e950f9c12"},
+    {file = "scikit_learn-1.5.2-cp313-cp313-win_amd64.whl", hash = "sha256:b7b0f9a0b1040830d38c39b91b3a44e1b643f4b36e36567b80b7c6bd2202a27f"},
     {file = "scikit_learn-1.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:757c7d514ddb00ae249832fe87100d9c73c6ea91423802872d9e74970a0e40b9"},
     {file = "scikit_learn-1.5.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:52788f48b5d8bca5c0736c175fa6bdaab2ef00a8f536cda698db61bd89c551c1"},
     {file = "scikit_learn-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:643964678f4b5fbdc95cbf8aec638acc7aa70f5f79ee2cdad1eec3df4ba6ead8"},
@@ -5537,17 +4739,6 @@ files = [
     {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
 ]
 
-[[package]]
-name = "soupsieve"
-version = "2.6"
-description = "A modern CSS selector implementation for Beautiful Soup."
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "soupsieve-2.6-py3-none-any.whl", hash = "sha256:e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9"},
-    {file = "soupsieve-2.6.tar.gz", hash = "sha256:e2e68417777af359ec65daac1057404a3c8a5455bb8abc36f1a9866ab1a51abb"},
-]
-
 [[package]]
 name = "spectrum-fundamentals"
 version = "0.7.3"
@@ -5815,25 +5006,6 @@ lint = ["mypy", "ruff (==0.5.5)", "types-docutils"]
 standalone = ["Sphinx (>=5)"]
 test = ["pytest"]
 
-[[package]]
-name = "stack-data"
-version = "0.6.3"
-description = "Extract data from python stack frames and tracebacks for informative displays"
-optional = true
-python-versions = "*"
-files = [
-    {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
-    {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
-]
-
-[package.dependencies]
-asttokens = ">=2.1.0"
-executing = ">=1.2.0"
-pure-eval = "*"
-
-[package.extras]
-tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
-
 [[package]]
 name = "starlette"
 version = "0.38.5"
@@ -5870,7 +5042,7 @@ pbr = ">=2.0.0"
 name = "tensorboard"
 version = "2.15.2"
 description = "TensorBoard lets you watch Tensors Flow"
-optional = true
+optional = false
 python-versions = ">=3.9"
 files = [
     {file = "tensorboard-2.15.2-py3-none-any.whl", hash = "sha256:a6f6443728064d962caea6d34653e220e34ef8df764cb06a8212c17e1a8f0622"},
@@ -5894,7 +5066,7 @@ werkzeug = ">=1.0.1"
 name = "tensorboard-data-server"
 version = "0.7.2"
 description = "Fast data loading for TensorBoard"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb"},
@@ -5906,7 +5078,7 @@ files = [
 name = "tensorflow"
 version = "2.15.1"
 description = "TensorFlow is an open source machine learning framework for everyone."
-optional = true
+optional = false
 python-versions = ">=3.9"
 files = [
     {file = "tensorflow-2.15.1-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:91b51a507007d63a70b65be307d701088d15042a6399c0e2312b53072226e909"},
@@ -5971,7 +5143,7 @@ and-cuda = ["nvidia-cublas-cu12 (==12.2.5.6)", "nvidia-cuda-cupti-cu12 (==12.2.1
 name = "tensorflow-cpu-aws"
 version = "2.15.1"
 description = "TensorFlow is an open source machine learning framework for everyone."
-optional = true
+optional = false
 python-versions = ">=3.9"
 files = [
     {file = "tensorflow_cpu_aws-2.15.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c781d95cb8c58d47cb012b7b4e77b2f3e8d4d47b45926bc54976506fa0c037cc"},
@@ -6010,7 +5182,7 @@ and-cuda = ["nvidia-cublas-cu12 (==12.2.5.6)", "nvidia-cuda-cupti-cu12 (==12.2.1
 name = "tensorflow-estimator"
 version = "2.15.0"
 description = "TensorFlow Estimator."
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "tensorflow_estimator-2.15.0-py2.py3-none-any.whl", hash = "sha256:aedf21eec7fb2dc91150fc91a1ce12bc44dbb72278a08b58e79ff87c9e28f153"},
@@ -6020,7 +5192,7 @@ files = [
 name = "tensorflow-intel"
 version = "2.15.1"
 description = "TensorFlow is an open source machine learning framework for everyone."
-optional = true
+optional = false
 python-versions = ">=3.9"
 files = [
     {file = "tensorflow_intel-2.15.1-cp310-cp310-win_amd64.whl", hash = "sha256:9f305142b3c5e239c82c463429b1f88726dd27d9f23523871f825493a9ffc5f4"},
@@ -6059,7 +5231,7 @@ and-cuda = ["nvidia-cublas-cu12 (==12.2.5.6)", "nvidia-cuda-cupti-cu12 (==12.2.1
 name = "tensorflow-io-gcs-filesystem"
 version = "0.37.1"
 description = "TensorFlow IO"
-optional = true
+optional = false
 python-versions = "<3.13,>=3.7"
 files = [
     {file = "tensorflow_io_gcs_filesystem-0.37.1-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:249c12b830165841411ba71e08215d0e94277a49c551e6dd5d72aab54fe5491b"},
@@ -6091,7 +5263,7 @@ tensorflow-rocm = ["tensorflow-rocm (>=2.16.0,<2.17.0)"]
 name = "tensorflow-probability"
 version = "0.24.0"
 description = "Probabilistic modeling and statistical inference in TensorFlow"
-optional = true
+optional = false
 python-versions = ">=3.9"
 files = [
     {file = "tensorflow_probability-0.24.0-py2.py3-none-any.whl", hash = "sha256:8c1774683e38359dbcaf3697e79b7e6a4e69b9c7b3679e78ee18f43e59e5759b"},
@@ -6115,7 +5287,7 @@ tfds = ["tensorflow-datasets (>=2.2.0)"]
 name = "termcolor"
 version = "2.4.0"
 description = "ANSI color formatting for output in terminal"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "termcolor-2.4.0-py3-none-any.whl", hash = "sha256:9297c0df9c99445c2412e832e882a7884038a25617c60cea2ad69488d4040d63"},
@@ -6136,24 +5308,6 @@ files = [
     {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"},
 ]
 
-[[package]]
-name = "tinycss2"
-version = "1.3.0"
-description = "A tiny CSS parser"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "tinycss2-1.3.0-py3-none-any.whl", hash = "sha256:54a8dbdffb334d536851be0226030e9505965bb2f30f21a4a82c55fb2a80fae7"},
-    {file = "tinycss2-1.3.0.tar.gz", hash = "sha256:152f9acabd296a8375fbca5b84c961ff95971fcfc32e79550c8df8e29118c54d"},
-]
-
-[package.dependencies]
-webencodings = ">=0.4"
-
-[package.extras]
-doc = ["sphinx", "sphinx_rtd_theme"]
-test = ["pytest", "ruff"]
-
 [[package]]
 name = "tokenize-rt"
 version = "6.0.0"
@@ -6187,26 +5341,6 @@ files = [
     {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
 ]
 
-[[package]]
-name = "tornado"
-version = "6.4.1"
-description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:163b0aafc8e23d8cdc3c9dfb24c5368af84a81e3364745ccb4427669bf84aec8"},
-    {file = "tornado-6.4.1-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:6d5ce3437e18a2b66fbadb183c1d3364fb03f2be71299e7d10dbeeb69f4b2a14"},
-    {file = "tornado-6.4.1-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2e20b9113cd7293f164dc46fffb13535266e713cdb87bd2d15ddb336e96cfc4"},
-    {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8ae50a504a740365267b2a8d1a90c9fbc86b780a39170feca9bcc1787ff80842"},
-    {file = "tornado-6.4.1-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:613bf4ddf5c7a95509218b149b555621497a6cc0d46ac341b30bd9ec19eac7f3"},
-    {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:25486eb223babe3eed4b8aecbac33b37e3dd6d776bc730ca14e1bf93888b979f"},
-    {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_i686.whl", hash = "sha256:454db8a7ecfcf2ff6042dde58404164d969b6f5d58b926da15e6b23817950fc4"},
-    {file = "tornado-6.4.1-cp38-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:a02a08cc7a9314b006f653ce40483b9b3c12cda222d6a46d4ac63bb6c9057698"},
-    {file = "tornado-6.4.1-cp38-abi3-win32.whl", hash = "sha256:d9a566c40b89757c9aa8e6f032bcdb8ca8795d7c1a9762910c722b1635c9de4d"},
-    {file = "tornado-6.4.1-cp38-abi3-win_amd64.whl", hash = "sha256:b24b8982ed444378d7f21d563f4180a2de31ced9d8d84443907a0a64da2072e7"},
-    {file = "tornado-6.4.1.tar.gz", hash = "sha256:92d3ab53183d8c50f8204a51e6f91d18a15d5ef261e84d452800d4ff6fc504e9"},
-]
-
 [[package]]
 name = "tqdm"
 version = "4.66.5"
@@ -6227,21 +5361,6 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "traitlets"
-version = "5.14.3"
-description = "Traitlets Python configuration system"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
-    {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
-]
-
-[package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
-
 [[package]]
 name = "triqler"
 version = "0.7.3"
@@ -6425,19 +5544,21 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
 
 [[package]]
 name = "wandb"
-version = "0.17.9"
+version = "0.18.3"
 description = "A CLI and library for interacting with the Weights & Biases API."
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "wandb-0.17.9-py3-none-any.whl", hash = "sha256:475da9aeb921f49352107d940a5d2a67e5bdc980d561fbdaf990309fe8faeaa4"},
-    {file = "wandb-0.17.9-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:9c056e36f12e1a6e7a03cf2abc806264baad44697bda33b5d901a42dc39f1bf8"},
-    {file = "wandb-0.17.9-py3-none-macosx_11_0_arm64.whl", hash = "sha256:9038d7971a9e86a8cdac4802b43c3167d4f1a00f9f5504b5e323ddec71d2e55a"},
-    {file = "wandb-0.17.9-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a1968d294fc357c8a8cd82c76f8b063a43d4225139bc8d4390100d47978f8f22"},
-    {file = "wandb-0.17.9-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1cbb833987e8fd9754e94cbb18bb0564b01bc9c743b67d499700192de0bd154"},
-    {file = "wandb-0.17.9-py3-none-win32.whl", hash = "sha256:a6b83dba8199923ce44da6360a174df6eb8430dc6912e29afb60ad882a4f2c18"},
-    {file = "wandb-0.17.9-py3-none-win_amd64.whl", hash = "sha256:c5dad3d8650ccc84323d86f211cd2af9a66e7ed23dc62c8a897fcb0f4337a394"},
-    {file = "wandb-0.17.9.tar.gz", hash = "sha256:744e27c17636c8f8bdce05c7fe9d17b4814a4196cff313b97b3bf92e7593d2ce"},
+    {file = "wandb-0.18.3-py3-none-any.whl", hash = "sha256:7da64f7da0ff7572439de10bfd45534e8811e71e78ac2ccc3b818f1c0f3a9aef"},
+    {file = "wandb-0.18.3-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:6674d8a5c40c79065b9c7eb765136756d5ebc9457a5f9abc820a660fb23f8b67"},
+    {file = "wandb-0.18.3-py3-none-macosx_11_0_arm64.whl", hash = "sha256:741f566e409a2684d3047e4cc25e8e914d78196b901190937b24b6abb8b052e5"},
+    {file = "wandb-0.18.3-py3-none-macosx_11_0_x86_64.whl", hash = "sha256:8be5e877570b693001c52dcc2089e48e6a4dcbf15f3adf5c9349f95148b59d58"},
+    {file = "wandb-0.18.3-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d788852bd4739fa18de3918f309c3a955b5cef3247fae1c40df3a63af637e1a0"},
+    {file = "wandb-0.18.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab81424eb207d78239a8d69c90521a70074fb81e3709055484e43c76fe44dc08"},
+    {file = "wandb-0.18.3-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:2c91315b8b62423eae18577d66a4b4bb8e4341a7d5c849cb2963e3b3dff0bf6d"},
+    {file = "wandb-0.18.3-py3-none-win32.whl", hash = "sha256:92a647dab783938ec87776a9fae8a13e72e6dad939c53e357cdea9d2570f0ad8"},
+    {file = "wandb-0.18.3-py3-none-win_amd64.whl", hash = "sha256:29cac2cfa3124241fed22cfedc9a52e1500275ee9bbb0b428ce4bf63c4723bf0"},
+    {file = "wandb-0.18.3.tar.gz", hash = "sha256:eb2574cea72bc908c6ce1b37edf7a889619e6e06e1b4714eecfe0662ded43c06"},
 ]
 
 [package.dependencies]
@@ -6446,8 +5567,8 @@ docker-pycreds = ">=0.4.0"
 gitpython = ">=1.0.0,<3.1.29 || >3.1.29"
 platformdirs = "*"
 protobuf = [
-    {version = ">=3.15.0,<4.21.0 || >4.21.0,<6", markers = "python_version == \"3.9\" and sys_platform == \"linux\""},
-    {version = ">=3.19.0,<4.21.0 || >4.21.0,<6", markers = "python_version > \"3.9\" or sys_platform != \"linux\""},
+    {version = ">=3.15.0,<4.21.0 || >4.21.0,<5.28.0 || >5.28.0,<6", markers = "python_version == \"3.9\" and sys_platform == \"linux\""},
+    {version = ">=3.19.0,<4.21.0 || >4.21.0,<5.28.0 || >5.28.0,<6", markers = "python_version > \"3.9\" or sys_platform != \"linux\""},
 ]
 psutil = ">=5.0.0"
 pyyaml = "*"
@@ -6464,7 +5585,7 @@ gcp = ["google-cloud-storage"]
 importers = ["filelock", "mlflow", "polars (<=1.2.1)", "rich", "tenacity"]
 kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
 launch = ["awscli", "azure-containerregistry", "azure-identity", "azure-storage-blob", "boto3", "botocore", "chardet", "google-auth", "google-cloud-aiplatform", "google-cloud-artifact-registry", "google-cloud-compute", "google-cloud-storage", "iso8601", "jsonschema", "kubernetes", "kubernetes-asyncio", "nbconvert", "nbformat", "optuna", "pydantic", "pyyaml (>=6.0.0)", "tomli", "typing-extensions"]
-media = ["bokeh", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit-pypi", "soundfile"]
+media = ["bokeh", "imageio", "moviepy", "numpy", "pillow", "plotly (>=5.18.0)", "rdkit", "soundfile"]
 models = ["cloudpickle"]
 perf = ["orjson"]
 sweeps = ["sweeps (>=0.2.0)"]
@@ -6565,28 +5686,6 @@ files = [
 [package.dependencies]
 anyio = ">=3.0.0"
 
-[[package]]
-name = "wcwidth"
-version = "0.2.13"
-description = "Measures the displayed width of unicode strings in a terminal"
-optional = true
-python-versions = "*"
-files = [
-    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
-    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
-]
-
-[[package]]
-name = "webencodings"
-version = "0.5.1"
-description = "Character encoding aliases for legacy web content"
-optional = true
-python-versions = "*"
-files = [
-    {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
-    {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
-]
-
 [[package]]
 name = "websockets"
 version = "13.0.1"
@@ -6686,7 +5785,7 @@ files = [
 name = "werkzeug"
 version = "3.0.4"
 description = "The comprehensive WSGI web application library."
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "werkzeug-3.0.4-py3-none-any.whl", hash = "sha256:02c9eb92b7d6c06f31a782811505d2157837cea66aaede3e217c7c27c039476c"},
@@ -6703,7 +5802,7 @@ watchdog = ["watchdog (>=2.3)"]
 name = "wheel"
 version = "0.44.0"
 description = "A built-package format for Python"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "wheel-0.44.0-py3-none-any.whl", hash = "sha256:2376a90c98cc337d18623527a97c31797bd02bad0033d41547043a1cbfbe448f"},
@@ -6717,7 +5816,7 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
 name = "wrapt"
 version = "1.14.1"
 description = "Module for decorators, wrappers and monkey patching."
-optional = true
+optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 files = [
     {file = "wrapt-1.14.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3"},
@@ -6831,7 +5930,7 @@ tests-strict = ["pytest (==4.6.0)", "pytest (==6.2.5)", "pytest-cov (==3.0.0)"]
 name = "xxhash"
 version = "3.5.0"
 description = "Python binding for xxHash"
-optional = true
+optional = false
 python-versions = ">=3.7"
 files = [
     {file = "xxhash-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ece616532c499ee9afbb83078b1b952beffef121d989841f7f4b3dc5ac0fd212"},
@@ -6963,7 +6062,7 @@ files = [
 name = "yarl"
 version = "1.11.1"
 description = "Yet another URL library"
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
     {file = "yarl-1.11.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:400cd42185f92de559d29eeb529e71d80dfbd2f45c36844914a4a34297ca6f00"},
@@ -7089,4 +6188,4 @@ dlomix = ["dlomix", "tensorflow"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9.0,<3.11.0"
-content-hash = "2648532d4651f82963ee5936884e52e09f6a4e63ff480dd03038a3d7c52a9b38"
+content-hash = "4ec83281ba0a70eb0cc733927a3914f28250bc0d06a8342f6312ce45d4b7531d"
diff --git a/pyproject.toml b/pyproject.toml
index d6ced96..875d9c3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,7 +35,7 @@ picked_group_fdr = ">=0.7.1"
 
 dlomix = {extras = ["rltl-report", "wandb"], git = "git@github.com:wilhelm-lab/dlomix.git", branch = "feature/bmpc", optional = true}
 tensorflow = {version = ">=2.13,<2.16", extras = ["and-cuda"], optional = true}
-wandb = {version = "^0.17.5", optional = true}
+wandb = {version = ">=0.17.5,<0.19.0", optional = true}
 koinapy = "^0.0.7"
 
 [tool.poetry.dev-dependencies]