diff --git a/CHANGELOG.md b/CHANGELOG.md
index 19fe3b0a..1bdf88c5 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -8,7 +8,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ## Unreleased
 
 ### Added
-- `leave_one_out_mask` function (`rectools.models.nn.transformers.utils.leave_one_out_mask`) for applying leave-one-out validation during transformer models training.([#292](https://github.com/MobileTeleSystems/RecTools/pull/292))
+- `leave_one_out_mask` function (`rectools.models.nn.transformers.utils.leave_one_out_mask`) for applying leave-one-out validation during transformer models training ([#292](https://github.com/MobileTeleSystems/RecTools/pull/292))
+
+### Fixed
+- Installation issue with `cupy` extra on macOS ([#293](https://github.com/MobileTeleSystems/RecTools/pull/293))
+- `torch.dtype object has no attribute 'kind'` error in `TorchRanker` ([#293](https://github.com/MobileTeleSystems/RecTools/pull/293))
+
 
 ## [0.15.0] - 17.07.2025
 
@@ -19,6 +24,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Fixed
 - [Breaking] Now `LastNSplitter` guarantees taking the last ordered interaction in dataframe in case of identical timestamps ([#288](https://github.com/MobileTeleSystems/RecTools/pull/288))
 
+
 ## [0.14.0] - 16.05.2025
 
 ### Added
@@ -27,6 +33,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - `map_location` and `model_params_update` arguments for the function `load_from_checkpoint` for Transformer-based models. Use `map_location` to explicitly specify the computing new device and `model_params_update` to update original model parameters (e.g. remove training-specific parameters that are not needed anymore) ([#281](https://github.com/MobileTeleSystems/RecTools/pull/281))
 - `get_val_mask_func_kwargs` and  `get_trainer_func_kwargs` arguments for Transformer-based models to allow keyword arguments in custom functions used for model training. ([#280](https://github.com/MobileTeleSystems/RecTools/pull/280))
 
+
 ## [0.13.0] - 10.04.2025
 
 ### Added 
@@ -46,6 +53,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Changed
 - Interactions extra columns are not dropped in `Dataset.filter_interactions` method [#267](https://github.com/MobileTeleSystems/RecTools/pull/267)
 
+
 ## [0.11.0] - 17.02.2025
 
 ### Added
@@ -60,12 +68,14 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 - `ImplicitRanker` `rank` method compatible with `Ranker` protocol. `use_gpu` and `num_threads` params moved from `rank` method to `__init__`. [#251](https://github.com/MobileTeleSystems/RecTools/pull/251)
 
+
 ## [0.10.0] - 16.01.2025
 
 ### Added
 - `ImplicitBPRWrapperModel` model with algorithm description in extended baselines tutorial ([#232](https://github.com/MobileTeleSystems/RecTools/pull/232), [#239](https://github.com/MobileTeleSystems/RecTools/pull/239))
 - All vector models and `EASEModel` support for enabling ranking on GPU and selecting number of threads for CPU ranking. Added `recommend_n_threads` and `recommend_use_gpu_ranking` parameters to `EASEModel`, `ImplicitALSWrapperModel`, `ImplicitBPRWrapperModel`, `PureSVDModel` and `DSSMModel`. Added `recommend_use_gpu_ranking` to `LightFMWrapperModel`. GPU and CPU ranking may provide different ordering of items with identical scores in recommendation table, so this could change ordering items in recommendations since GPU ranking is now used as a default one. ([#218](https://github.com/MobileTeleSystems/RecTools/pull/218))
 
+
 ## [0.9.0] - 11.12.2024
 
 ### Added
@@ -105,6 +115,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Removed
 - [Breaking] `assume_external_ids` parameter in `recommend` and `recommend_to_items` model methods ([#177](https://github.com/MobileTeleSystems/RecTools/pull/177))
 
+
 ## [0.7.0] - 29.07.2024
 
 ### Added
diff --git a/poetry.lock b/poetry.lock
index 195a3197..0c485a58 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,103 +2,113 @@
 
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+version = "2.6.1"
 description = "Happy Eyeballs for asyncio"
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+python-versions = ">=3.9"
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+    {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
+    {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
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 [[package]]
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 [package.dependencies]
-aiohappyeyeballs = ">=2.3.0"
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+aiosignal = ">=1.4.0"
 async-timeout = {version = ">=4.0,<6.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
@@ -107,21 +117,22 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.3.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
-version = "1.3.1"
+version = "1.4.0"
 description = "aiosignal: a list of registered asynchronous callbacks"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 files = [
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-    {file = "aiosignal-1.3.1.tar.gz", hash = "sha256:54cd96e15e1649b75d6c87526a6ff0b6c1b0dd3459f43d9ca11d48c339b68cfc"},
+    {file = "aiosignal-1.4.0-py3-none-any.whl", hash = "sha256:053243f8b92b990551949e63930a839ff0cf0b0ebbe0597b0f3fb19e1a0fe82e"},
+    {file = "aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7"},
 ]
 
 [package.dependencies]
 frozenlist = ">=1.1.0"
+typing-extensions = {version = ">=4.2", markers = "python_version < \"3.13\""}
 
 [[package]]
 name = "alabaster"
@@ -221,17 +232,17 @@ tomli = {version = "*", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "babel"
-version = "2.16.0"
+version = "2.17.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"},
+    {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"},
+    {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"},
 ]
 
 [package.extras]
-dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
+dev = ["backports.zoneinfo", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata"]
 
 [[package]]
 name = "bandit"
@@ -259,17 +270,18 @@ yaml = ["PyYAML"]
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.3"
+version = "4.13.4"
 description = "Screen-scraping library"
 optional = false
-python-versions = ">=3.6.0"
+python-versions = ">=3.7.0"
 files = [
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+    {file = "beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195"},
 ]
 
 [package.dependencies]
 soupsieve = ">1.2"
+typing-extensions = ">=4.0.0"
 
 [package.extras]
 cchardet = ["cchardet"]
@@ -336,6 +348,7 @@ files = [
 ]
 
 [package.dependencies]
+tinycss2 = {version = ">=1.1.0,<1.5", optional = true, markers = "extra == \"css\""}
 webencodings = "*"
 
 [package.extras]
@@ -343,13 +356,13 @@ css = ["tinycss2 (>=1.1.0,<1.5)"]
 
 [[package]]
 name = "certifi"
-version = "2024.8.30"
+version = "2025.7.14"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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-    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
+    {file = "certifi-2025.7.14-py3-none-any.whl", hash = "sha256:6b31f564a415d79ee77df69d757bb49a5bb53bd9f756cbbe24394ffd6fc1f4b2"},
+    {file = "certifi-2025.7.14.tar.gz", hash = "sha256:8ea99dbdfaaf2ba2f9bac77b9249ef62ec5218e7c2b2e903378ed5fccf765995"},
 ]
 
 [[package]]
@@ -433,116 +446,103 @@ pycparser = "*"
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.0"
+version = "3.4.2"
 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]]
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 python-versions = ">=3.9"
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 [package.dependencies]
 fastrlock = ">=0.5"
-numpy = ">=1.22,<2.3"
+numpy = ">=1.22,<2.6"
 
 [package.extras]
 all = ["Cython (>=3)", "optuna (>=2.0)", "scipy (>=1.7,<1.17)"]
@@ -705,13 +705,13 @@ test = ["hypothesis (>=6.37.2,<6.55.0)", "mpmath", "packaging", "pytest (>=7.2)"
 
 [[package]]
 name = "decorator"
-version = "5.1.1"
+version = "5.2.1"
 description = "Decorators for Humans"
 optional = true
-python-versions = ">=3.5"
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 ]
 
 [[package]]
@@ -727,13 +727,13 @@ files = [
 
 [[package]]
 name = "dill"
-version = "0.3.9"
+version = "0.4.0"
 description = "serialize all of Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -753,27 +753,30 @@ files = [
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.2"
+version = "1.3.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4.6.0", markers = "python_version < \"3.13\""}
+
 [package.extras]
 test = ["pytest (>=6)"]
 
 [[package]]
 name = "executing"
-version = "2.1.0"
+version = "2.2.0"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -873,18 +876,18 @@ files = [
 
 [[package]]
 name = "filelock"
-version = "3.16.1"
+version = "3.18.0"
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 [[package]]
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+    {file = "frozenlist-1.7.0.tar.gz", hash = "sha256:2e310d81923c2437ea8670467121cc3e9b0f76d3043cc1d2331d56c7fb7a3a8f"},
 ]
 
 [[package]]
 name = "fsspec"
-version = "2024.10.0"
+version = "2025.7.0"
 description = "File-system specification"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "fsspec-2024.10.0-py3-none-any.whl", hash = "sha256:03b9a6785766a4de40368b88906366755e2819e758b83705c88cd7cb5fe81871"},
-    {file = "fsspec-2024.10.0.tar.gz", hash = "sha256:eda2d8a4116d4f2429db8550f2457da57279247dd930bb12f821b58391359493"},
+    {file = "fsspec-2025.7.0-py3-none-any.whl", hash = "sha256:8b012e39f63c7d5f10474de957f3ab793b47b45ae7d39f2fb735f8bbe25c0e21"},
+    {file = "fsspec-2025.7.0.tar.gz", hash = "sha256:786120687ffa54b8283d942929540d8bc5ccfa820deb555a2b5d0ed2b737bf58"},
 ]
 
 [package.dependencies]
@@ -1038,7 +1053,7 @@ abfs = ["adlfs"]
 adl = ["adlfs"]
 arrow = ["pyarrow (>=1)"]
 dask = ["dask", "distributed"]
-dev = ["pre-commit", "ruff"]
+dev = ["pre-commit", "ruff (>=0.5)"]
 doc = ["numpydoc", "sphinx", "sphinx-design", "sphinx-rtd-theme", "yarl"]
 dropbox = ["dropbox", "dropboxdrivefs", "requests"]
 full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "dask", "distributed", "dropbox", "dropboxdrivefs", "fusepy", "gcsfs", "libarchive-c", "ocifs", "panel", "paramiko", "pyarrow (>=1)", "pygit2", "requests", "s3fs", "smbprotocol", "tqdm"]
@@ -1057,19 +1072,19 @@ sftp = ["paramiko"]
 smb = ["smbprotocol"]
 ssh = ["paramiko"]
 test = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "numpy", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "requests"]
-test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask-expr", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
+test-downstream = ["aiobotocore (>=2.5.4,<3.0.0)", "dask[dataframe,test]", "moto[server] (>4,<5)", "pytest-timeout", "xarray"]
 test-full = ["adlfs", "aiohttp (!=4.0.0a0,!=4.0.0a1)", "cloudpickle", "dask", "distributed", "dropbox", "dropboxdrivefs", "fastparquet", "fusepy", "gcsfs", "jinja2", "kerchunk", "libarchive-c", "lz4", "notebook", "numpy", "ocifs", "pandas", "panel", "paramiko", "pyarrow", "pyarrow (>=1)", "pyftpdlib", "pygit2", "pytest", "pytest-asyncio (!=0.22.0)", "pytest-benchmark", "pytest-cov", "pytest-mock", "pytest-recording", "pytest-rerunfailures", "python-snappy", "requests", "smbprotocol", "tqdm", "urllib3", "zarr", "zstandard"]
 tqdm = ["tqdm"]
 
 [[package]]
 name = "gitdb"
-version = "4.0.11"
+version = "4.0.12"
 description = "Git Object Database"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "gitdb-4.0.11-py3-none-any.whl", hash = "sha256:81a3407ddd2ee8df444cbacea00e2d038e40150acfa3001696fe0dcf1d3adfa4"},
-    {file = "gitdb-4.0.11.tar.gz", hash = "sha256:bf5421126136d6d0af55bc1e7c1af1c397a34f5b7bd79e776cd3e89785c2b04b"},
+    {file = "gitdb-4.0.12-py3-none-any.whl", hash = "sha256:67073e15955400952c6565cc3e707c554a4eea2e428946f7a4c162fab9bd9bcf"},
+    {file = "gitdb-4.0.12.tar.gz", hash = "sha256:5ef71f855d191a3326fcfbc0d5da835f26b13fbcba60c32c21091c349ffdb571"},
 ]
 
 [package.dependencies]
@@ -1168,13 +1183,13 @@ tqdm = ">=4.27"
 
 [[package]]
 name = "importlib-metadata"
-version = "8.5.0"
+version = "8.7.0"
 description = "Read metadata from Python packages"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "importlib_metadata-8.5.0-py3-none-any.whl", hash = "sha256:45e54197d28b7a7f1559e60b95e7c567032b602131fbd588f1497f47880aa68b"},
-    {file = "importlib_metadata-8.5.0.tar.gz", hash = "sha256:71522656f0abace1d072b9e5481a48f07c138e00f079c38c8f883823f9c26bd7"},
+    {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
+    {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
 ]
 
 [package.dependencies]
@@ -1186,18 +1201,18 @@ cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+test = ["flufl.flake8", "importlib_resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
 type = ["pytest-mypy"]
 
 [[package]]
 name = "iniconfig"
-version = "2.0.0"
+version = "2.1.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
-    {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+    {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"},
+    {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"},
 ]
 
 [[package]]
@@ -1239,21 +1254,21 @@ test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pa
 
 [[package]]
 name = "ipywidgets"
-version = "8.1.5"
+version = "8.1.7"
 description = "Jupyter interactive widgets"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "ipywidgets-8.1.5-py3-none-any.whl", hash = "sha256:3290f526f87ae6e77655555baba4f36681c555b8bdbbff430b70e52c34c86245"},
-    {file = "ipywidgets-8.1.5.tar.gz", hash = "sha256:870e43b1a35656a80c18c9503bbf2d16802db1cb487eec6fab27d683381dde17"},
+    {file = "ipywidgets-8.1.7-py3-none-any.whl", hash = "sha256:764f2602d25471c213919b8a1997df04bef869251db4ca8efba1b76b1bd9f7bb"},
+    {file = "ipywidgets-8.1.7.tar.gz", hash = "sha256:15f1ac050b9ccbefd45dccfbb2ef6bed0029d8278682d569d71b8dd96bee0376"},
 ]
 
 [package.dependencies]
 comm = ">=0.1.3"
 ipython = ">=6.1.0"
-jupyterlab-widgets = ">=3.0.12,<3.1.0"
+jupyterlab_widgets = ">=3.0.15,<3.1.0"
 traitlets = ">=4.3.1"
-widgetsnbextension = ">=4.0.12,<4.1.0"
+widgetsnbextension = ">=4.0.14,<4.1.0"
 
 [package.extras]
 test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
@@ -1293,13 +1308,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<9.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.4"
+version = "3.1.6"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jinja2-3.1.4-py3-none-any.whl", hash = "sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d"},
-    {file = "jinja2-3.1.4.tar.gz", hash = "sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369"},
+    {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"},
+    {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"},
 ]
 
 [package.dependencies]
@@ -1310,24 +1325,24 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.4.2"
+version = "1.5.1"
 description = "Lightweight pipelining with Python functions"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
-    {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
+    {file = "joblib-1.5.1-py3-none-any.whl", hash = "sha256:4719a31f054c7d766948dcd83e9613686b27114f190f717cec7eaa2084f8a74a"},
+    {file = "joblib-1.5.1.tar.gz", hash = "sha256:f4f86e351f39fe3d0d32a9f2c3d8af1ee4cec285aafcb27003dda5205576b444"},
 ]
 
 [[package]]
 name = "jsonschema"
-version = "4.23.0"
+version = "4.25.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
-    {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
+    {file = "jsonschema-4.25.0-py3-none-any.whl", hash = "sha256:24c2e8da302de79c8b9382fee3e76b355e44d2a4364bb207159ce10b517bd716"},
+    {file = "jsonschema-4.25.0.tar.gz", hash = "sha256:e63acf5c11762c0e6672ffb61482bdf57f0876684d8d249c0fe2d730d48bc55f"},
 ]
 
 [package.dependencies]
@@ -1338,17 +1353,17 @@ 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)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "rfc3987-syntax (>=1.1.0)", "uri-template", "webcolors (>=24.6.0)"]
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2024.10.1"
+version = "2025.4.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "jsonschema_specifications-2024.10.1-py3-none-any.whl", hash = "sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf"},
-    {file = "jsonschema_specifications-2024.10.1.tar.gz", hash = "sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272"},
+    {file = "jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af"},
+    {file = "jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608"},
 ]
 
 [package.dependencies]
@@ -1379,13 +1394,13 @@ test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pyt
 
 [[package]]
 name = "jupyter-core"
-version = "5.7.2"
+version = "5.8.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 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"},
+    {file = "jupyter_core-5.8.1-py3-none-any.whl", hash = "sha256:c28d268fc90fb53f1338ded2eb410704c5449a358406e8a948b75706e24863d0"},
+    {file = "jupyter_core-5.8.1.tar.gz", hash = "sha256:0a5f9706f70e64786b75acba995988915ebd4601c8a52e534a40b51c95f59941"},
 ]
 
 [package.dependencies]
@@ -1394,8 +1409,8 @@ pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_
 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"]
+docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-spelling", "traitlets"]
+test = ["ipykernel", "pre-commit", "pytest (<9)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyterlab-pygments"
@@ -1410,35 +1425,35 @@ files = [
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "3.0.13"
+version = "3.0.15"
 description = "Jupyter interactive widgets for JupyterLab"
 optional = true
 python-versions = ">=3.7"
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 ]
 
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 name = "lightning-utilities"
-version = "0.11.9"
+version = "0.14.3"
 description = "Lightning toolbox for across the our ecosystem."
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
 packaging = ">=17.1"
 setuptools = "*"
-typing-extensions = "*"
+typing_extensions = "*"
 
 [package.extras]
 cli = ["fire"]
 docs = ["requests (>=2.0.0)"]
-typing = ["mypy (>=1.0.0)", "types-setuptools"]
+typing = ["fire", "mypy (>=1.0.0)", "types-setuptools"]
 
 [[package]]
 name = "mando"
@@ -1589,15 +1604,18 @@ files = [
 
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 name = "mistune"
-version = "3.0.2"
+version = "3.1.3"
 description = "A sane and fast Markdown parser with useful plugins and renderers"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
+
 [[package]]
 name = "mpmath"
 version = "1.3.0"
@@ -1617,103 +1635,121 @@ tests = ["pytest (>=4.6)"]
 
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 [package.dependencies]
@@ -1774,24 +1810,24 @@ reports = ["lxml"]
 
 [[package]]
 name = "mypy-extensions"
-version = "1.0.0"
+version = "1.1.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[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 = [
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 [package.dependencies]
@@ -1802,23 +1838,23 @@ traitlets = ">=5.4"
 
 [package.extras]
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+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"]
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 [[package]]
 name = "nbconvert"
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+version = "7.16.6"
 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 ...`)."
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 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
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-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"
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 packaging = "*"
 pandocfilters = ">=1.4.1"
 pygments = ">=2.4.1"
-tinycss2 = "*"
 traitlets = ">=5.1"
 
 [package.extras]
@@ -1901,6 +1936,26 @@ doc = ["nb2plots (>=0.7)", "nbconvert (<7.9)", "numpydoc (>=1.6)", "pillow (>=9.
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 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
+[[package]]
+name = "networkx"
+version = "3.5"
+description = "Python package for creating and manipulating graphs and networks"
+optional = true
+python-versions = ">=3.11"
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+
+[package.extras]
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+developer = ["mypy (>=1.15)", "pre-commit (>=4.1)"]
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+extra = ["lxml (>=4.6)", "pydot (>=3.0.1)", "pygraphviz (>=1.14)", "sympy (>=1.10)"]
+test = ["pytest (>=7.2)", "pytest-cov (>=4.0)", "pytest-xdist (>=3.0)"]
+test-extras = ["pytest-mpl", "pytest-randomly"]
+
 [[package]]
 name = "nmslib"
 version = "2.1.1"
@@ -2028,66 +2083,62 @@ files = [
 
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 name = "numpy"
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+    {file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6768bad6cab4f19e8292125e5f1ac8aa7d1718704012a0e3272a6f61c4bce132"},
+    {file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a3eff6cdfcc6a4c35db968a06fcadb061cbc7d6dde548609a941ff8701b98b73"},
+    {file = "nvidia_cuda_cupti_cu12-12.6.80-py3-none-win_amd64.whl", hash = "sha256:bbe6ae76e83ce5251b56e8c8e61a964f757175682bbad058b170b136266ab00a"},
 ]
 
 [[package]]
@@ -2149,14 +2202,14 @@ files = [
 
 [[package]]
 name = "nvidia-cuda-nvrtc-cu12"
-version = "12.4.127"
+version = "12.6.77"
 description = "NVRTC native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0eedf14185e04b76aa05b1fea04133e59f465b6f960c0cbf4e37c3cb6b0ea198"},
-    {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a178759ebb095827bd30ef56598ec182b85547f1508941a3d560eb7ea1fbf338"},
-    {file = "nvidia_cuda_nvrtc_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:a961b2f1d5f17b14867c619ceb99ef6fcec12e46612711bcec78eb05068a60ec"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5847f1d6e5b757f1d2b3991a01082a44aad6f10ab3c5c0213fa3e25bddc25a13"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:35b0cc6ee3a9636d5409133e79273ce1f3fd087abb0532d2d2e8fff1fe9efc53"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:f7007dbd914c56bd80ea31bc43e8e149da38f68158f423ba845fc3292684e45a"},
 ]
 
 [[package]]
@@ -2172,14 +2225,16 @@ files = [
 
 [[package]]
 name = "nvidia-cuda-runtime-cu12"
-version = "12.4.127"
+version = "12.6.77"
 description = "CUDA Runtime native Libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:961fe0e2e716a2a1d967aab7caee97512f71767f852f67432d572e36cb3a11f3"},
-    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:64403288fa2136ee8e467cdc9c9427e0434110899d07c779f25b5c068934faa5"},
-    {file = "nvidia_cuda_runtime_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:09c2e35f48359752dfa822c09918211844a3d93c100a715d79b59591130c5e1e"},
+    {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6116fad3e049e04791c0256a9778c16237837c08b27ed8c8401e2e45de8d60cd"},
+    {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d461264ecb429c84c8879a7153499ddc7b19b5f8d84c204307491989a365588e"},
+    {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ba3b56a4f896141e25e19ab287cd71e52a6a0f4b29d0d31609f60e3b4d5219b7"},
+    {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a84d15d5e1da416dd4774cb42edf5e954a3e60cc945698dc1d5be02321c44dc8"},
+    {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:86c58044c824bf3c173c49a2dbc7a6c8b53cb4e4dca50068be0bf64e9dab3f7f"},
 ]
 
 [[package]]
@@ -2197,13 +2252,14 @@ nvidia-cublas-cu12 = "*"
 
 [[package]]
 name = "nvidia-cudnn-cu12"
-version = "9.1.0.70"
+version = "9.5.1.17"
 description = "cuDNN runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f"},
-    {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-win_amd64.whl", hash = "sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a"},
+    {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:9fd4584468533c61873e5fda8ca41bac3a38bcb2d12350830c69b0a96a7e4def"},
+    {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:30ac3869f6db17d170e0e556dd6cc5eee02647abc31ca856634d5a40f82c15b2"},
+    {file = "nvidia_cudnn_cu12-9.5.1.17-py3-none-win_amd64.whl", hash = "sha256:d7af0f8a4f3b4b9dbb3122f2ef553b45694ed9c384d5a75bab197b8eefb79ab8"},
 ]
 
 [package.dependencies]
@@ -2222,19 +2278,32 @@ files = [
 
 [[package]]
 name = "nvidia-cufft-cu12"
-version = "11.2.1.3"
+version = "11.3.0.4"
 description = "CUFFT native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:5dad8008fc7f92f5ddfa2101430917ce2ffacd86824914c82e28990ad7f00399"},
-    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f083fc24912aa410be21fa16d157fed2055dab1cc4b6934a0e03cba69eb242b9"},
-    {file = "nvidia_cufft_cu12-11.2.1.3-py3-none-win_amd64.whl", hash = "sha256:d802f4954291101186078ccbe22fc285a902136f974d369540fd4a5333d1440b"},
+    {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d16079550df460376455cba121db6564089176d9bac9e4f360493ca4741b22a6"},
+    {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8510990de9f96c803a051822618d42bf6cb8f069ff3f48d93a8486efdacb48fb"},
+    {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ccba62eb9cef5559abd5e0d54ceed2d9934030f51163df018532142a8ec533e5"},
+    {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.whl", hash = "sha256:768160ac89f6f7b459bee747e8d175dbf53619cfe74b2a5636264163138013ca"},
+    {file = "nvidia_cufft_cu12-11.3.0.4-py3-none-win_amd64.whl", hash = "sha256:6048ebddfb90d09d2707efb1fd78d4e3a77cb3ae4dc60e19aab6be0ece2ae464"},
 ]
 
 [package.dependencies]
 nvidia-nvjitlink-cu12 = "*"
 
+[[package]]
+name = "nvidia-cufile-cu12"
+version = "1.11.1.6"
+description = "cuFile GPUDirect libraries"
+optional = true
+python-versions = ">=3"
+files = [
+    {file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cc23469d1c7e52ce6c1d55253273d32c565dd22068647f3aa59b3c6b005bf159"},
+    {file = "nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:8f57a0051dcf2543f6dc2b98a98cb2719c37d3cee1baba8965d57f3bbc90d4db"},
+]
+
 [[package]]
 name = "nvidia-curand-cu12"
 version = "10.3.2.106"
@@ -2248,14 +2317,16 @@ files = [
 
 [[package]]
 name = "nvidia-curand-cu12"
-version = "10.3.5.147"
+version = "10.3.7.77"
 description = "CURAND native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1f173f09e3e3c76ab084aba0de819c49e56614feae5c12f69883f4ae9bb5fad9"},
-    {file = "nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a88f583d4e0bb643c49743469964103aa59f7f708d862c3ddb0fc07f851e3b8b"},
-    {file = "nvidia_curand_cu12-10.3.5.147-py3-none-win_amd64.whl", hash = "sha256:f307cc191f96efe9e8f05a87096abc20d08845a841889ef78cb06924437f6771"},
+    {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:6e82df077060ea28e37f48a3ec442a8f47690c7499bff392a5938614b56c98d8"},
+    {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a42cd1344297f70b9e39a1e4f467a4e1c10f1da54ff7a85c12197f6c652c8bdf"},
+    {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:99f1a32f1ac2bd134897fc7a203f779303261268a65762a623bf30cc9fe79117"},
+    {file = "nvidia_curand_cu12-10.3.7.77-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:7b2ed8e95595c3591d984ea3603dd66fe6ce6812b886d59049988a712ed06b6e"},
+    {file = "nvidia_curand_cu12-10.3.7.77-py3-none-win_amd64.whl", hash = "sha256:6d6d935ffba0f3d439b7cd968192ff068fafd9018dbf1b85b37261b13cfc9905"},
 ]
 
 [[package]]
@@ -2276,14 +2347,16 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-cusolver-cu12"
-version = "11.6.1.9"
+version = "11.7.1.2"
 description = "CUDA solver native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d338f155f174f90724bbde3758b7ac375a70ce8e706d70b018dd3375545fc84e"},
-    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260"},
-    {file = "nvidia_cusolver_cu12-11.6.1.9-py3-none-win_amd64.whl", hash = "sha256:e77314c9d7b694fcebc84f58989f3aa4fb4cb442f12ca1a9bde50f5e8f6d1b9c"},
+    {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0ce237ef60acde1efc457335a2ddadfd7610b892d94efee7b776c64bb1cac9e0"},
+    {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e9e49843a7707e42022babb9bcfa33c29857a93b88020c4e4434656a655b698c"},
+    {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:6cf28f17f64107a0c4d7802be5ff5537b2130bfc112f25d5a30df227058ca0e6"},
+    {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:dbbe4fc38ec1289c7e5230e16248365e375c3673c9c8bac5796e2e20db07f56e"},
+    {file = "nvidia_cusolver_cu12-11.7.1.2-py3-none-win_amd64.whl", hash = "sha256:6813f9d8073f555444a8705f3ab0296d3e1cb37a16d694c5fc8b862a0d8706d7"},
 ]
 
 [package.dependencies]
@@ -2307,14 +2380,16 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-cusparse-cu12"
-version = "12.3.1.170"
+version = "12.5.4.2"
 description = "CUSPARSE native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9d32f62896231ebe0480efd8a7f702e143c98cfaa0e8a76df3386c1ba2b54df3"},
-    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1"},
-    {file = "nvidia_cusparse_cu12-12.3.1.170-py3-none-win_amd64.whl", hash = "sha256:9bc90fb087bc7b4c15641521f31c0371e9a612fc2ba12c338d3ae032e6b6797f"},
+    {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d25b62fb18751758fe3c93a4a08eff08effedfe4edf1c6bb5afd0890fe88f887"},
+    {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7aa32fa5470cf754f72d1116c7cbc300b4e638d3ae5304cfa4a638a5b87161b1"},
+    {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7556d9eca156e18184b94947ade0fba5bb47d69cec46bf8660fd2c71a4b48b73"},
+    {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:23749a6571191a215cb74d1cdbff4a86e7b19f1200c071b3fcf844a5bea23a2f"},
+    {file = "nvidia_cusparse_cu12-12.5.4.2-py3-none-win_amd64.whl", hash = "sha256:4acb8c08855a26d737398cba8fb6f8f5045d93f82612b4cfd84645a2332ccf20"},
 ]
 
 [package.dependencies]
@@ -2322,14 +2397,14 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-cusparselt-cu12"
-version = "0.6.2"
+version = "0.6.3"
 description = "NVIDIA cuSPARSELt"
 optional = true
 python-versions = "*"
 files = [
-    {file = "nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_aarch64.whl", hash = "sha256:067a7f6d03ea0d4841c85f0c6f1991c5dda98211f6302cb83a4ab234ee95bef8"},
-    {file = "nvidia_cusparselt_cu12-0.6.2-py3-none-manylinux2014_x86_64.whl", hash = "sha256:df2c24502fd76ebafe7457dbc4716b2fec071aabaed4fb7691a201cde03704d9"},
-    {file = "nvidia_cusparselt_cu12-0.6.2-py3-none-win_amd64.whl", hash = "sha256:0057c91d230703924c0422feabe4ce768841f9b4b44d28586b6f6d2eb86fbe70"},
+    {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8371549623ba601a06322af2133c4a44350575f5a3108fb75f3ef20b822ad5f1"},
+    {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-manylinux2014_x86_64.whl", hash = "sha256:e5c8a26c36445dd2e6812f1177978a24e2d37cacce7e090f297a688d1ec44f46"},
+    {file = "nvidia_cusparselt_cu12-0.6.3-py3-none-win_amd64.whl", hash = "sha256:3b325bcbd9b754ba43df5a311488fca11a6b5dc3d11df4d190c000cf1a0765c7"},
 ]
 
 [[package]]
@@ -2344,36 +2419,37 @@ files = [
 
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.21.5"
+version = "2.26.2"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nccl_cu12-2.21.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:8579076d30a8c24988834445f8d633c697d42397e92ffc3f63fa26766d25e0a0"},
+    {file = "nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5c196e95e832ad30fbbb50381eb3cbd1fadd5675e587a548563993609af19522"},
+    {file = "nvidia_nccl_cu12-2.26.2-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:694cf3879a206553cc9d7dbda76b13efaf610fdb70a50cba303de1b0d1530ac6"},
 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.4.127"
+version = "12.6.85"
 description = "Nvidia JIT LTO Library"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4abe7fef64914ccfa909bc2ba39739670ecc9e820c83ccc7a6ed414122599b83"},
-    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57"},
-    {file = "nvidia_nvjitlink_cu12-12.4.127-py3-none-win_amd64.whl", hash = "sha256:fd9020c501d27d135f983c6d3e244b197a7ccad769e34df53a42e276b0e25fa1"},
+    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a"},
+    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41"},
+    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-win_amd64.whl", hash = "sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c"},
 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.6.85"
+version = "12.9.86"
 description = "Nvidia JIT LTO Library"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a"},
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 [package.dependencies]
@@ -2535,15 +2613,18 @@ files = [
 
 [[package]]
 name = "pbr"
-version = "6.1.0"
+version = "6.1.1"
 description = "Python Build Reasonableness"
 optional = false
 python-versions = ">=2.6"
 files = [
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 ]
 
+[package.dependencies]
+setuptools = "*"
+
 [[package]]
 name = "pep8-naming"
 version = "0.13.3"
@@ -2574,19 +2655,19 @@ ptyprocess = ">=0.5"
 
 [[package]]
 name = "platformdirs"
-version = "4.3.6"
+version = "4.3.8"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 [package.extras]
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.2)", "pytest-cov (>=5)", "pytest-mock (>=3.14)"]
-type = ["mypy (>=1.11.2)"]
+docs = ["furo (>=2024.8.6)", "proselint (>=0.14)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=8.3.4)", "pytest-cov (>=6)", "pytest-mock (>=3.14)"]
+type = ["mypy (>=1.14.1)"]
 
 [[package]]
 name = "plotly"
@@ -2605,28 +2686,28 @@ tenacity = ">=6.2.0"
 
 [[package]]
 name = "pluggy"
-version = "1.5.0"
+version = "1.6.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.extras]
 dev = ["pre-commit", "tox"]
-testing = ["pytest", "pytest-benchmark"]
+testing = ["coverage", "pytest", "pytest-benchmark"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.48"
+version = "3.0.51"
 description = "Library for building powerful interactive command lines in Python"
 optional = true
-python-versions = ">=3.7.0"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2634,123 +2715,132 @@ wcwidth = "*"
 
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 python-versions = ">=3.9"
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 [package.extras]
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 [package.dependencies]
@@ -3685,73 +3759,86 @@ test = ["asv", "gmpy2", "hypothesis", "mpmath", "pooch", "pytest", "pytest-cov",
 
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 [package.dependencies]
-numpy = ">=1.23.5,<2.3"
+numpy = ">=1.23.5,<2.5"
 
 [package.extras]
 dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
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 [[package]]
 name = "setuptools"
-version = "75.6.0"
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 description = "Easily download, build, install, upgrade, and uninstall Python packages"
-optional = true
+optional = false
 python-versions = ">=3.9"
 files = [
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+type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
 name = "six"
@@ -3766,35 +3853,35 @@ files = [
 
 [[package]]
 name = "smmap"
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 description = "A pure Python implementation of a sliding window memory map manager"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "snowballstemmer"
-version = "2.2.0"
-description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
+version = "3.0.1"
+description = "This package provides 32 stemmers for 30 languages generated from Snowball algorithms."
 optional = false
-python-versions = "*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*"
 files = [
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 ]
 
 [[package]]
 name = "soupsieve"
-version = "2.6"
+version = "2.7"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -3965,13 +4052,13 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "stevedore"
-version = "5.4.0"
+version = "5.4.1"
 description = "Manage dynamic plugins for Python applications"
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -3979,13 +4066,13 @@ pbr = ">=2.0.0"
 
 [[package]]
 name = "sympy"
-version = "1.13.1"
+version = "1.14.0"
 description = "Computer algebra system (CAS) in Python"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517"},
 ]
 
 [package.dependencies]
@@ -3996,13 +4083,13 @@ dev = ["hypothesis (>=6.70.0)", "pytest (>=7.1.0)"]
 
 [[package]]
 name = "tenacity"
-version = "9.0.0"
+version = "9.1.2"
 description = "Retry code until it succeeds"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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+    {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"},
+    {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"},
 ]
 
 [package.extras]
@@ -4011,13 +4098,13 @@ test = ["pytest", "tornado (>=4.5)", "typeguard"]
 
 [[package]]
 name = "threadpoolctl"
-version = "3.5.0"
+version = "3.6.0"
 description = "threadpoolctl"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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-    {file = "threadpoolctl-3.5.0.tar.gz", hash = "sha256:082433502dd922bf738de0d8bcc4fdcbf0979ff44c42bd40f5af8a282f6fa107"},
+    {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"},
+    {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"},
 ]
 
 [[package]]
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 ]
 
 [package.dependencies]
@@ -4182,22 +4273,23 @@ filelock = "*"
 fsspec = "*"
 jinja2 = "*"
 networkx = "*"
-nvidia-cublas-cu12 = {version = "12.4.5.8", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-cupti-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-nvrtc-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-runtime-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
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-nvidia-cusparse-cu12 = {version = "12.3.1.170", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusparselt-cu12 = {version = "0.6.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.21.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvjitlink-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvtx-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cublas-cu12 = {version = "12.6.4.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.6.80", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "9.5.1.17", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufft-cu12 = {version = "11.3.0.4", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufile-cu12 = {version = "1.11.1.6", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.7.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.7.1.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.5.4.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparselt-cu12 = {version = "0.6.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.26.2", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvjitlink-cu12 = {version = "12.6.85", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.6.77", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 setuptools = {version = "*", markers = "python_version >= \"3.12\""}
-sympy = {version = "1.13.1", markers = "python_version >= \"3.9\""}
-triton = {version = "3.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+sympy = ">=1.13.3"
+triton = {version = "3.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 typing-extensions = ">=4.10.0"
 
 [package.extras]
@@ -4206,13 +4298,13 @@ optree = ["optree (>=0.13.0)"]
 
 [[package]]
 name = "torchmetrics"
-version = "1.6.0"
+version = "1.7.4"
 description = "PyTorch native Metrics"
 optional = true
 python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
@@ -4222,34 +4314,36 @@ packaging = ">17.1"
 torch = ">=2.0.0"
 
 [package.extras]
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+clustering = ["torch_linear_assignment (>=0.0.2)"]
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 [[package]]
@@ -4313,73 +4407,87 @@ tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
 
 [[package]]
 name = "triton"
-version = "3.2.0"
+version = "3.3.1"
 description = "A language and compiler for custom Deep Learning operations"
 optional = true
 python-versions = "*"
 files = [
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 ]
 
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+
 [package.extras]
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-tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
+tests = ["autopep8", "isort", "llnl-hatchet", "numpy", "pytest", "pytest-forked", "pytest-xdist", "scipy (>=1.7.1)"]
 tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "typeguard"
-version = "4.4.1"
+version = "4.4.4"
 description = "Run-time type checker for Python"
 optional = false
 python-versions = ">=3.9"
 files = [
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-
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-test = ["coverage[toml] (>=7)", "mypy (>=1.2.0)", "pytest (>=7)"]
+importlib_metadata = {version = ">=3.6", markers = "python_version < \"3.10\""}
+typing_extensions = ">=4.14.0"
 
 [[package]]
 name = "typing-extensions"
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+version = "4.14.1"
+description = "Backported and Experimental Type Hints for Python 3.9+"
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 ]
 
+[[package]]
+name = "typing-inspection"
+version = "0.4.1"
+description = "Runtime typing introspection tools"
+optional = false
+python-versions = ">=3.9"
+files = [
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+[package.dependencies]
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+
 [[package]]
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-version = "2024.2"
+version = "2025.2"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
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 [[package]]
 name = "urllib3"
-version = "2.2.3"
+version = "2.5.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.extras]
@@ -4412,120 +4520,142 @@ files = [
 
 [[package]]
 name = "widgetsnbextension"
-version = "4.0.13"
+version = "4.0.14"
 description = "Jupyter interactive widgets for Jupyter Notebook"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
 name = "yarl"
-version = "1.18.3"
+version = "1.20.1"
 description = "Yet another URL library"
 optional = true
 python-versions = ">=3.9"
 files = [
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 files = [
-    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
-    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
+    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
+    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
 ]
 
 [package.extras]
@@ -4533,7 +4663,7 @@ check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [extras]
@@ -4547,4 +4677,4 @@ visuals = ["ipywidgets", "nbformat", "plotly"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9, <3.14"
-content-hash = "f9193a17a09f4a12e75c1653e0276e10a877bcf357b62a8c1c03b513c5aa6ce1"
+content-hash = "7e1d6eb49d35fd1452c8e559d6afc578efc448978d08b644dd81fa1ec7ad3f10"
diff --git a/pyproject.toml b/pyproject.toml
index 376f1edf..e538a3bf 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -82,7 +82,7 @@ nmslib = {version = "^2.0.4", python = "<3.11", optional = true}
 # nmslib officialy doens't support Python 3.11 and 3.12. Use https://github.com/metabrainz/nmslib-metabrainz instead
 nmslib-metabrainz = {version = "^2.1.3", python = ">=3.11, <3.13", optional = true}
 
-# The latest torch version available for MacOSX + x86_64 is 2.2.2
+# The latest torch version available for macOS + x86_64 is 2.2.2
 torch = [
     {version = ">=1.6.0, <2.3.0", python = "<3.13", markers = "sys_platform == 'darwin' and platform_machine == 'x86_64'", optional = true},
     {version = ">=1.6.0, <3.0.0", python = "<3.13", optional = true},
@@ -96,15 +96,20 @@ pytorch-lightning = [
 ipywidgets = {version = ">=7.7,<8.2", optional = true}
 plotly = {version="^5.22.0", optional = true}
 nbformat = {version = ">=4.2.0", optional = true}
+
+# cupy-cuda12x is incompatible with macOS.
+# It's possible to install pure `cupy` and it will be fully compatible
+# but it will work only with CPU and will be slower than `numpy`.
+# That's why we don't install cupy at all on macOS and handle it during the import.
 cupy-cuda12x = [
-    {version = "^13.3.0", python = "<3.13", optional = true},
-    {version = "^13.4.0", python = ">=3.13", optional = true},
+    {version = "^13.3.0", python = "<3.13", markers = "sys_platform != 'darwin'", optional = true},
+    {version = "^13.4.0", python = ">=3.13", markers = "sys_platform != 'darwin'", optional = true},
 ]
 # This is a dependency of cupy-cuda12x
 # poetry can't resolve appropriate version of fastrlock for Python 3.13
 # and cupy-cuda12x, so we add the version restriction here manually to avoid
 # installing older version of fastrlock which is incompatible with Python 3.13
-fastrlock = {version = "^0.8.3", optional = true}
+fastrlock = {version = "^0.8.3", markers = "sys_platform != 'darwin'", optional = true}
 
 [tool.poetry.extras]
 lightfm = ["rectools-lightfm"]
diff --git a/rectools/models/rank/rank_torch.py b/rectools/models/rank/rank_torch.py
index 6a0c1f2c..37f42603 100644
--- a/rectools/models/rank/rank_torch.py
+++ b/rectools/models/rank/rank_torch.py
@@ -136,12 +136,11 @@ def rank(
                 )
 
                 if filter_pairs_csr is not None:
-                    mask = (
-                        torch.from_numpy(filter_pairs_csr[cur_user_emb_inds].toarray()[:, sorted_object_whitelist]).to(
-                            scores.device
-                        )
-                        != 0
-                    )
+                    # Convert cur_user_emb_inds to numpy to avoid
+                    # AttributeError: 'torch.dtype' object has no attribute 'kind'
+                    cur_user_filter_pairs_csr = filter_pairs_csr[cur_user_emb_inds.cpu().numpy()]
+                    whitelisted_filter_matrix = cur_user_filter_pairs_csr.toarray()[:, sorted_object_whitelist]
+                    mask = torch.from_numpy(whitelisted_filter_matrix).to(scores.device) != 0
                     scores = torch.masked_fill(scores, mask, mask_values)
 
                 top_scores, top_inds = torch.topk(
diff --git a/tests/models/nn/transformers/test_bert4rec.py b/tests/models/nn/transformers/test_bert4rec.py
index b786f767..c6ad64d2 100644
--- a/tests/models/nn/transformers/test_bert4rec.py
+++ b/tests/models/nn/transformers/test_bert4rec.py
@@ -217,9 +217,9 @@ def get_val_mask_func(interactions: pd.DataFrame, val_users: tp.List[int]) -> np
                 False,
                 pd.DataFrame(
                     {
-                        Columns.User: [10, 10, 10, 30, 30, 30, 40, 40, 40],
-                        Columns.Item: [12, 13, 11, 12, 13, 11, 12, 13, 11],
-                        Columns.Rank: [1, 2, 3, 1, 2, 3, 1, 2, 3],
+                        Columns.User: [30, 30, 30, 40, 40, 40],
+                        Columns.Item: [12, 13, 11, 12, 13, 11],
+                        Columns.Rank: [1, 2, 3, 1, 2, 3],
                     }
                 ),
                 pd.DataFrame(
@@ -289,8 +289,6 @@ def get_trainer() -> Trainer:
             similarity_module_kwargs={"distance": u2i_dist},
         )
         model.fit(dataset=dataset_devices)
-        users = np.array([10, 30, 40])
-        actual = model.recommend(users=users, dataset=dataset_devices, k=3, filter_viewed=filter_viewed)
         if accelerator == "cpu" and n_devices == 1:
             expected = expected_cpu_1
         elif accelerator == "cpu" and n_devices == 2:
@@ -299,6 +297,9 @@ def get_trainer() -> Trainer:
             expected = expected_gpu_1
         else:
             expected = expected_gpu_2
+        users = np.unique(expected[Columns.User])
+        actual = model.recommend(users=users, dataset=dataset_devices, k=3, filter_viewed=filter_viewed)
+
         pd.testing.assert_frame_equal(actual.drop(columns=Columns.Score), expected)
         pd.testing.assert_frame_equal(
             actual.sort_values([Columns.User, Columns.Score], ascending=[True, False]).reset_index(drop=True),
@@ -392,9 +393,9 @@ def test_u2i_losses(
                 False,
                 pd.DataFrame(
                     {
-                        Columns.User: [10, 10, 30, 30, 40, 40],
-                        Columns.Item: [13, 11, 13, 11, 13, 11],
-                        Columns.Rank: [1, 2, 1, 2, 1, 2],
+                        Columns.User: [30, 30, 40, 40],
+                        Columns.Item: [13, 11, 13, 11],
+                        Columns.Rank: [1, 2, 1, 2],
                     }
                 ),
             ),
@@ -421,7 +422,7 @@ def test_with_whitelist(
             similarity_module_type=DistanceSimilarityModule,
         )
         model.fit(dataset=dataset_devices)
-        users = np.array([10, 30, 40])
+        users = np.unique(expected[Columns.User])
         items_to_recommend = np.array([11, 13, 17])
         actual = model.recommend(
             users=users,
diff --git a/tests/models/nn/transformers/test_sasrec.py b/tests/models/nn/transformers/test_sasrec.py
index f947b440..a5eaad87 100644
--- a/tests/models/nn/transformers/test_sasrec.py
+++ b/tests/models/nn/transformers/test_sasrec.py
@@ -556,9 +556,9 @@ def test_with_whitelist(
                 None,
                 pd.DataFrame(
                     {
-                        Columns.TargetItem: [12, 12, 12, 14, 14, 14, 17, 17, 17],
-                        Columns.Item: [12, 13, 14, 14, 12, 15, 17, 13, 14],
-                        Columns.Rank: [1, 2, 3, 1, 2, 3, 1, 2, 3],
+                        Columns.TargetItem: [12, 12, 12, 17, 17, 17],
+                        Columns.Item: [12, 13, 14, 17, 13, 14],
+                        Columns.Rank: [1, 2, 3, 1, 2, 3],
                     }
                 ),
             ),
@@ -567,9 +567,9 @@ def test_with_whitelist(
                 None,
                 pd.DataFrame(
                     {
-                        Columns.TargetItem: [12, 12, 12, 14, 14, 14, 17, 17, 17],
-                        Columns.Item: [13, 14, 11, 12, 15, 17, 13, 14, 11],
-                        Columns.Rank: [1, 2, 3, 1, 2, 3, 1, 2, 3],
+                        Columns.TargetItem: [12, 12, 12, 17, 17, 17],
+                        Columns.Item: [13, 14, 11, 13, 14, 11],
+                        Columns.Rank: [1, 2, 3, 1, 2, 3],
                     }
                 ),
             ),
@@ -607,7 +607,7 @@ def test_i2i(
             similarity_module_type=DistanceSimilarityModule,
         )
         model.fit(dataset=dataset)
-        target_items = np.array([12, 14, 17])
+        target_items = np.unique(expected[Columns.TargetItem])
         actual = model.recommend_to_items(
             target_items=target_items,
             dataset=dataset,
diff --git a/tests/models/test_implicit_bpr.py b/tests/models/test_implicit_bpr.py
index 9f1b81db..89172ba5 100644
--- a/tests/models/test_implicit_bpr.py
+++ b/tests/models/test_implicit_bpr.py
@@ -91,9 +91,9 @@ def dataset(self) -> Dataset:
                 False,
                 pd.DataFrame(
                     {
-                        Columns.User: [10, 10, 20, 20],
-                        Columns.Item: [11, 17, 11, 17],
-                        Columns.Rank: [1, 2, 1, 2],
+                        Columns.User: [20, 20],
+                        Columns.Item: [11, 17],
+                        Columns.Rank: [1, 2],
                     }
                 ),
                 pd.DataFrame(
@@ -120,7 +120,7 @@ def test_basic(
         self._init_model_factors_inplace(base_model, dataset)
         model = ImplicitBPRWrapperModel(model=base_model).fit(dataset)
         actual = model.recommend(
-            users=np.array([10, 20]),
+            users=np.unique(expected_cpu[Columns.User]),
             dataset=dataset,
             k=2,
             filter_viewed=filter_viewed,