From 4238807bcbde197797050811d22463c8af3de0cf Mon Sep 17 00:00:00 2001
From: Patricio Cerda Mardini <patricio.mardini@mindsdb.com>
Date: Tue, 30 Apr 2024 14:29:34 +0200
Subject: [PATCH] merged dependabot PRs, bumps black and pillow

---
 poetry.lock    | 2350 ++++++++++++++++++++++++------------------------
 pyproject.toml |    4 +-
 2 files changed, 1176 insertions(+), 1178 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 6073e41f1..17dff230c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -17,88 +17,88 @@ triad = ">=0.6.1"
 
 [[package]]
 name = "aiohttp"
-version = "3.9.3"
+version = "3.9.5"
 description = "Async http client/server framework (asyncio)"
 category = "main"
 optional = true
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -300,11 +285,11 @@ packaging = ">=22.0"
 pathspec = ">=0.9.0"
 platformdirs = ">=2"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
+typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
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-d = ["aiohttp (>=3.7.4)"]
+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)"]
 
@@ -514,26 +499,26 @@ files = [
 
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+version = "1.2.2"
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 numpy = ">=1.21"
 pandas = "*"
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+stanio = ">=0.4.0,<2.0.0"
 tqdm = "*"
 
 [package.extras]
 all = ["xarray"]
-docs = ["matplotlib", "numpydoc", "sphinx", "sphinx-gallery", "sphinx-rtd-theme"]
-tests = ["flake8", "mypy", "pylint", "pytest", "pytest-cov", "pytest-order", "tqdm", "xarray"]
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+test = ["flake8", "mypy", "pylint", "pytest", "pytest-cov", "pytest-order", "xarray"]
 
 [[package]]
 name = "colorama"
@@ -750,82 +735,82 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
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 [[package]]
 name = "dataclasses-json"
-version = "0.6.4"
+version = "0.6.5"
 description = "Easily serialize dataclasses to and from JSON."
 category = "main"
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = "<4.0,>=3.7"
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 [package.dependencies]
@@ -834,14 +819,14 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "dataprep-ml"
-version = "0.0.22"
+version = "0.0.23"
 description = "Automated dataframe analysis for Machine Learning pipelines."
 category = "main"
 optional = false
-python-versions = ">=3.8,<3.12"
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 files = [
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 [package.dependencies]
@@ -849,7 +834,7 @@ colorlog = ">=6.5.0,<7.0.0"
 dataclasses-json = ">=0.6.3,<0.7.0"
 numpy = ">=1,<2"
 pandas = ">=2,<3"
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+pydantic = "*"
 pydateinfer = "0.3.0"
 python-dateutil = ">=2.1"
 scipy = ">=1.7.3"
@@ -895,13 +880,13 @@ files = [
 
 [[package]]
 name = "docplex"
-version = "2.25.236"
+version = "2.27.239"
 description = "The IBM Decision Optimization CPLEX Modeling for Python"
 category = "main"
 optional = true
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -909,14 +894,14 @@ six = "*"
 
 [[package]]
 name = "einops"
-version = "0.7.0"
+version = "0.8.0"
 description = "A new flavour of deep learning operations"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -1044,19 +1029,19 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
 
 [[package]]
 name = "filelock"
-version = "3.13.1"
+version = "3.14.0"
 description = "A platform independent file lock."
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 python-versions = ">=3.8"
 files = [
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+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
@@ -1078,54 +1063,54 @@ pyflakes = ">=3.2.0,<3.3.0"
 
 [[package]]
 name = "fonttools"
-version = "4.50.0"
+version = "4.51.0"
 description = "Tools to manipulate font files"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -1297,14 +1282,14 @@ scandir = ["scandir (>=1.5,<2.0)"]
 
 [[package]]
 name = "fsspec"
-version = "2024.3.0"
+version = "2024.3.1"
 description = "File-system specification"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -1336,56 +1321,31 @@ tqdm = ["tqdm"]
 
 [[package]]
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+version = "0.9.0"
 description = "An abstraction layer for distributed computation"
 category = "main"
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 python-versions = ">=3.8"
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-triad = ">=0.9.3"
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 polars = ["polars"]
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-triad = ">=0.6.8"
-
-[package.extras]
-cpp = ["fugue-sql-antlr-cpp (==0.2.0)"]
-test = ["speedy_antlr_tool"]
+sql = ["fugue-sql-antlr (>=0.2.0)", "jinja2", "qpd (>=0.4.4)", "sqlglot"]
 
 [[package]]
 name = "gluonts"
@@ -1535,14 +1495,14 @@ numpy = [
 
 [[package]]
 name = "holidays"
-version = "0.44"
+version = "0.47"
 description = "Generate and work with holidays in Python"
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 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1572,14 +1532,14 @@ lxml = ["lxml"]
 
 [[package]]
 name = "huggingface-hub"
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+version = "0.22.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1592,40 +1552,41 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
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-quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
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+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "idna"
-version = "3.6"
+version = "3.7"
 description = "Internationalized Domain Names in Applications (IDNA)"
 category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
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-    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
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 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "7.0.2"
+version = "7.1.0"
 description = "Read metadata from Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
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 ]
 
 [package.dependencies]
@@ -1634,18 +1595,18 @@ zipp = ">=0.5"
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "importlib-resources"
-version = "6.3.1"
+version = "6.4.0"
 description = "Read resources from Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"},
 ]
 
 [package.dependencies]
@@ -1653,7 +1614,7 @@ zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["jaraco.collections", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
+testing = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
 
 [[package]]
 name = "inflection"
@@ -1667,6 +1628,21 @@ files = [
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 ]
 
+[[package]]
+name = "intel-openmp"
+version = "2021.4.0"
+description = "Intel OpenMP* Runtime Library"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
 name = "jinja2"
 version = "3.1.3"
@@ -1687,14 +1663,14 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.3.2"
+version = "1.4.0"
 description = "Lightweight pipelining with Python functions"
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -1907,14 +1883,14 @@ dask = ["dask[array] (>=2.0.0)", "dask[dataframe] (>=2.0.0)", "dask[distributed]
 
 [[package]]
 name = "lightning-utilities"
-version = "0.10.1"
+version = "0.11.2"
 description = "Lightning toolbox for across the our ecosystem."
 category = "main"
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1980,108 +1956,185 @@ pytz = "*"
 
 [[package]]
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+version = "5.2.1"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
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 optional = true
 python-versions = ">=3.6"
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 [package.extras]
 cssselect = ["cssselect (>=0.7)"]
+html-clean = ["lxml-html-clean"]
 html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
-source = ["Cython (>=3.0.7)"]
+source = ["Cython (>=3.0.10)"]
 
 [[package]]
 name = "mako"
-version = "1.3.2"
+version = "1.3.3"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2282,6 +2335,25 @@ pandas = ">=2,<3"
 scikit-learn = ">=1.0"
 type-infer = ">=0.0.15"
 
+[[package]]
+name = "mkl"
+version = "2021.4.0"
+description = "Intel® oneAPI Math Kernel Library"
+category = "main"
+optional = false
+python-versions = "*"
+files = [
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+
+[package.dependencies]
+intel-openmp = ">=2021.0.0,<2022.0.0"
+tbb = ">=2021.0.0,<2022.0.0"
+
 [[package]]
 name = "more-itertools"
 version = "10.2.0"
@@ -2784,26 +2856,26 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.19.3"
+version = "2.20.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 category = "main"
 optional = false
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.4.99"
+version = "12.4.127"
 description = "Nvidia JIT LTO Library"
 category = "main"
 optional = false
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
@@ -2820,14 +2892,14 @@ files = [
 
 [[package]]
 name = "optuna"
-version = "3.6.0"
+version = "3.6.1"
 description = "A hyperparameter optimization framework"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -2959,91 +3031,92 @@ test = ["pytest", "pytest-cov", "scipy"]
 
 [[package]]
 name = "peewee"
-version = "3.17.1"
+version = "3.17.3"
 description = "a little orm"
 category = "main"
 optional = true
 python-versions = "*"
 files = [
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 [[package]]
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 python-versions = ">=3.8"
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+type = ["mypy (>=1.8)"]
 
 [[package]]
 name = "ply"
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 ]
 
 [package.dependencies]
@@ -3543,14 +3618,14 @@ six = ">=1.5"
 
 [[package]]
 name = "pytorch-lightning"
-version = "2.2.1"
+version = "2.2.3"
 description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -3565,11 +3640,11 @@ tqdm = ">=4.57.0"
 typing-extensions = ">=4.4.0"
 
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 strategies = ["deepspeed (>=0.8.2,<=0.9.3)"]
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@@ -3874,28 +3949,6 @@ bip-mapper = ["cplex", "docplex"]
 crosstalk-pass = ["z3-solver (>=4.7)"]
 visualization = ["ipywidgets (>=7.3.0)", "matplotlib (>=2.1)", "pillow (>=4.2.1)", "pydot", "pygments (>=2.4)", "pylatexenc (>=1.4)", "seaborn (>=0.9.0)"]
 
-[[package]]
-name = "qpd"
-version = "0.4.4"
-description = "Query Pandas Using SQL"
-category = "main"
-optional = false
-python-versions = ">=3.7"
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-[package.dependencies]
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-triad = ">=0.9.0"
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-[package.extras]
-all = ["cloudpickle (>=1.4.0)", "dask[dataframe,distributed]"]
-dask = ["cloudpickle (>=1.4.0)", "dask[dataframe,distributed]"]
-
 [[package]]
 name = "quandl"
 version = "3.7.0"
@@ -3919,32 +3972,21 @@ six = "*"
 
 [[package]]
 name = "ray"
-version = "2.9.3"
+version = "2.12.0"
 description = "Ray provides a simple, universal API for building distributed applications."
 category = "main"
 optional = true
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -3964,29 +4006,29 @@ requests = "*"
 tensorboardX = {version = ">=1.9", optional = true, markers = "extra == \"tune\""}
 
 [package.extras]
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+air = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "fastapi", "fsspec", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "numpy (>=1.20)", "opencensus", "pandas", "pandas (>=1.3)", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2.0.0 || >=2.5.0,<3)", "requests", "smart-open", "starlette", "tensorboardX (>=1.9)", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
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 client = ["grpcio (!=1.56.0)"]
-cpp = ["ray-cpp (==2.9.3)"]
+cpp = ["ray-cpp (==2.12.0)"]
 data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=6.0.1)"]
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 train = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
 tune = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.9)"]
 
 [[package]]
 name = "referencing"
-version = "0.34.0"
+version = "0.35.0"
 description = "JSON Referencing + Python"
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3995,105 +4037,91 @@ rpds-py = ">=0.7.0"
 
 [[package]]
 name = "regex"
-version = "2023.12.25"
+version = "2024.4.28"
 description = "Alternative regular expression module, to replace re."
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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@@ -4877,22 +4895,6 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
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 [[package]]
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 version = "0.1.0"
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-description = ""
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 [package.dependencies]
@@ -4950,6 +4952,7 @@ numpy = "*"
 
 [package.extras]
 test = ["pandas", "pytest", "pytest-cov"]
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 [[package]]
 name = "statsforecast"
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 torch = ">=1.6"
 
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+version = "2021.12.0"
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 version = "2.6.2.2"
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 [package.dependencies]
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+huggingface-hub = ">=0.16.4,<1.0"
 
 [package.extras]
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-docs = ["setuptools_rust", "sphinx", "sphinx_rtd_theme"]
-testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
+docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
 
 [[package]]
 name = "toml"
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 ]
 
 [package.dependencies]
 filelock = "*"
 fsspec = "*"
 jinja2 = "*"
+mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""}
 networkx = "*"
 nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
@@ -5375,10 +5378,10 @@ nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linu
 nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "2.3.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -5403,14 +5406,14 @@ torch = ">=1.1.0"
 
 [[package]]
 name = "torchmetrics"
-version = "1.3.1"
+version = "1.3.2"
 description = "PyTorch native Metrics"
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -5421,55 +5424,50 @@ torch = ">=1.10.0"
 typing-extensions = {version = "*", markers = "python_version < \"3.9\""}
 
 [package.extras]
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 visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.3.0)"]
 
 [[package]]
 name = "torchvision"
-version = "0.17.1"
+version = "0.18.0"
 description = "image and video datasets and models for torch deep learning"
 category = "main"
 optional = true
 python-versions = ">=3.8"
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 [package.dependencies]
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-torch = "2.2.1"
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 [package.extras]
 scipy = ["scipy"]
@@ -5497,14 +5495,14 @@ telegram = ["requests"]
 
 [[package]]
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 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
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 ]
 
 [package.dependencies]
@@ -5516,21 +5514,21 @@ pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
 safetensors = ">=0.4.1"
-tokenizers = ">=0.14,<0.19"
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 tqdm = ">=4.27"
 
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+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.19,<0.20)", "urllib3 (<2.0.0)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+docs = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.21.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm", "tokenizers (>=0.19,<0.20)", "torch", "torchaudio", "torchvision"]
 docs-specific = ["hf-doc-builder"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
 flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
@@ -5551,16 +5549,16 @@ serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
 speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
 tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"]
 tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 timm = ["timm"]
-tokenizers = ["tokenizers (>=0.14,<0.19)"]
+tokenizers = ["tokenizers (>=0.19,<0.20)"]
 torch = ["accelerate (>=0.21.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
-torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch", "tqdm (>=4.27)"]
+torchhub = ["filelock", "huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"]
 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
@@ -5589,18 +5587,18 @@ ciso8601 = ["ciso8601"]
 
 [[package]]
 name = "triton"
-version = "2.2.0"
+version = "2.3.0"
 description = "A language and compiler for custom Deep Learning operations"
 category = "main"
 optional = false
 python-versions = "*"
 files = [
-    {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},
-    {file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"},
-    {file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"},
-    {file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"},
-    {file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"},
-    {file = "triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df"},
+    {file = "triton-2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ce4b8ff70c48e47274c66f269cce8861cf1dc347ceeb7a67414ca151b1822d8"},
+    {file = "triton-2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c3d9607f85103afdb279938fc1dd2a66e4f5999a58eb48a346bd42738f986dd"},
+    {file = "triton-2.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:218d742e67480d9581bafb73ed598416cc8a56f6316152e5562ee65e33de01c0"},
+    {file = "triton-2.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:381ec6b3dac06922d3e4099cfc943ef032893b25415de295e82b1a82b0359d2c"},
+    {file = "triton-2.3.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:038e06a09c06a164fef9c48de3af1e13a63dc1ba3c792871e61a8e79720ea440"},
+    {file = "triton-2.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6d8f636e0341ac348899a47a057c3daea99ea7db31528a225a3ba4ded28ccc65"},
 ]
 
 [package.dependencies]
@@ -5666,14 +5664,14 @@ files = [
 
 [[package]]
 name = "type-infer"
-version = "0.0.19"
+version = "0.0.20"
 description = "Automated type inference for Machine Learning pipelines."
 category = "main"
 optional = false
-python-versions = ">=3.8,<3.12"
+python-versions = "<3.12,>=3.8"
 files = [
-    {file = "type_infer-0.0.19-py3-none-any.whl", hash = "sha256:1921ee1251c1bf979f95079efc27188207e501ec1d9a0fa9dda96f25c4a15b95"},
-    {file = "type_infer-0.0.19.tar.gz", hash = "sha256:edf59133befa940c8e9dca7a5990cb1fda2e541855bd5db7d74e71be1c3c576e"},
+    {file = "type_infer-0.0.20-py3-none-any.whl", hash = "sha256:9d2dc43d103e91a56e4efe844f5ce34dad40dd3cfd4a5b0bce2bfcda95b96704"},
+    {file = "type_infer-0.0.20.tar.gz", hash = "sha256:17e81f03ba1fadb3041394ab56df47decda664a40bcabeaba0d5262f810c25b2"},
 ]
 
 [package.dependencies]
@@ -5690,14 +5688,14 @@ toml = ">=0.10.2,<0.11.0"
 
 [[package]]
 name = "typing-extensions"
-version = "4.10.0"
+version = "4.11.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
-    {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
+    {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
+    {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
 ]
 
 [[package]]
@@ -5748,14 +5746,14 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "utilsforecast"
-version = "0.1.1"
+version = "0.1.7"
 description = "Forecasting utilities"
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "utilsforecast-0.1.1-py3-none-any.whl", hash = "sha256:91223b185ea2bb34d1b30180e63d995e6b440cb2c5d307a2337a1e59cb466697"},
-    {file = "utilsforecast-0.1.1.tar.gz", hash = "sha256:11816a9cc9c2a8911a786baaa6265bc21bf19867552e4ab2d62a73082814c939"},
+    {file = "utilsforecast-0.1.7-py3-none-any.whl", hash = "sha256:05322b15d46977ef5bca44b42f3bc987a7040b92b2b6a5a42fc0fed555322a4f"},
+    {file = "utilsforecast-0.1.7.tar.gz", hash = "sha256:c5feef154cb2a389ccbe5613540169459a4ef150bfcf97141dbcce733ce155be"},
 ]
 
 [package.dependencies]
@@ -5783,18 +5781,18 @@ files = [
 
 [[package]]
 name = "websocket-client"
-version = "1.7.0"
+version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
-    {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
+    {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
+    {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
 ]
 
 [package.extras]
-docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
+docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
@@ -5947,14 +5945,14 @@ multidict = ">=4.0"
 
 [[package]]
 name = "yfinance"
-version = "0.2.37"
+version = "0.2.38"
 description = "Download market data from Yahoo! Finance API"
 category = "main"
 optional = true
 python-versions = "*"
 files = [
-    {file = "yfinance-0.2.37-py2.py3-none-any.whl", hash = "sha256:3ac75fa1cd3496ee76b6df5d63d29679487ea9447123c5b935d1593240737a8f"},
-    {file = "yfinance-0.2.37.tar.gz", hash = "sha256:e5f78c9bd27bae7abfd0af9b7996620eaa9aba759d67f957296634d7d54f0cef"},
+    {file = "yfinance-0.2.38-py2.py3-none-any.whl", hash = "sha256:07525cf84414272723a3e2b9d4c0a2898ddb60cc0828aa190de26664fac6f676"},
+    {file = "yfinance-0.2.38.tar.gz", hash = "sha256:483eecae0743d829fc337f21d80da4612f5257d5c1f35570efc4a5e98e4401a7"},
 ]
 
 [package.dependencies]
@@ -6002,4 +6000,4 @@ xai = ["pyod", "shap", "suod"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<3.12"
-content-hash = "e2d8da527c22a3f1d1854f43e7814ee1d94ccacd22748d81e73b641f467603f0"
+content-hash = "91e7dc4522ff1379b94a06ebe7115bd7e1507c6e47af4dac8d9273196dd53078"
diff --git a/pyproject.toml b/pyproject.toml
index a20cf7c25..238da03c8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -30,7 +30,7 @@ dill = "==0.3.6"
 sktime = ">=0.24.0,<0.25.0"
 statsforecast = "~=1.6.0"
 torch_optimizer = "==0.1.0"
-black = "==23.3.0"
+black = "==24.3.0"
 typing_extensions = ">= 4.8.0"
 colorlog = "==6.5.0"
 xgboost = ">=1.6.0, <=1.8.0"
@@ -47,7 +47,7 @@ neuralforecast = {version = ">=1.6.4,<1.7.0", optional = true}
 mxnet = {version = ">=1.6.0,<2.0.0", optional = true}
 gluonts = {version = ">=0.13.2,<0.14.0", optional = true}
 torchvision = {version = ">=0.15.0", optional = true}
-pillow = {version = ">8.3.1", optional = true}
+pillow = {version = ">=10.3.0", optional = true}
 qiskit = {version = "==0.31.0", optional = true}
 shap = {version = ">=0.40.0", optional = true}
 pyod = {version = "==1.0.4", optional = true}