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 01/10] 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}

From e553bcc4c27763fdaa800ecbcd5100d2d1e7a549 Mon Sep 17 00:00:00 2001
From: Patricio Cerda Mardini <patricio.mardini@mindsdb.com>
Date: Mon, 6 May 2024 19:06:13 +0200
Subject: [PATCH 02/10] deps: update lightgbm to 4.3.0

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 238da03c8..ef0605a89 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -40,7 +40,7 @@ tab-transformer-pytorch = ">= 0.2.1"
 autopep8 = {version = ">=1.5.7", optional = true}
 flake8 = {version = ">=6.0.0", optional = true}
 librosa = {version = "==0.8.1", optional = true}
-lightgbm = {version = ">=3.3.0,<=3.3.3", optional = true}
+lightgbm = {version = ">=4.3.0,<=4.4.0", optional = true}
 pystan = {version = "==2.19.1.1", optional = true}
 prophet = {version = "==1.1", optional = true}
 neuralforecast = {version = ">=1.6.4,<1.7.0", optional = true}

From ad5274c0680295b8531f527492726204a1695b31 Mon Sep 17 00:00:00 2001
From: Patricio Cerda Mardini <patricio.mardini@mindsdb.com>
Date: Mon, 6 May 2024 19:08:16 +0200
Subject: [PATCH 03/10] poetry lock

---
 poetry.lock | 588 +++++++++++++++++++++++++++-------------------------
 1 file changed, 303 insertions(+), 285 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 17dff230c..ef3385049 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -664,44 +664,44 @@ tests = ["coverage"]
 
 [[package]]
 name = "cryptography"
-version = "42.0.5"
+version = "42.0.7"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 category = "main"
 optional = true
 python-versions = ">=3.7"
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 ]
 
 [[package]]
@@ -1495,14 +1490,14 @@ numpy = [
 
 [[package]]
 name = "holidays"
-version = "0.47"
+version = "0.48"
 description = "Generate and work with holidays in Python"
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1532,14 +1527,14 @@ lxml = ["lxml"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.22.2"
+version = "0.23.0"
 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]
@@ -1552,16 +1547,16 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-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)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "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", "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)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "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"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
 inference = ["aiohttp", "minijinja (>=1.0)"]
 quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 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)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "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)"]
 
@@ -1645,14 +1640,14 @@ files = [
 
 [[package]]
 name = "jinja2"
-version = "3.1.3"
+version = "3.1.4"
 description = "A very fast and expressive template engine."
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1663,26 +1658,26 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.4.0"
+version = "1.4.2"
 description = "Lightweight pipelining with Python functions"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "jsonschema"
-version = "4.21.1"
+version = "4.22.0"
 description = "An implementation of JSON Schema validation for Python"
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -1859,27 +1854,28 @@ tests = ["contextlib2", "matplotlib (>=3.0)", "pytest", "pytest-cov", "pytest-mp
 
 [[package]]
 name = "lightgbm"
-version = "3.3.3"
+version = "4.3.0"
 description = "LightGBM Python Package"
 category = "main"
 optional = true
-python-versions = "*"
+python-versions = ">=3.6"
 files = [
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+    {file = "lightgbm-4.3.0.tar.gz", hash = "sha256:006f5784a9bcee43e5a7e943dc4f02de1ba2ee7a7af1ee5f190d383f3b6c9ebe"},
 ]
 
 [package.dependencies]
 numpy = "*"
-scikit-learn = "!=0.22.0"
 scipy = "*"
-wheel = "*"
 
 [package.extras]
-dask = ["dask[array] (>=2.0.0)", "dask[dataframe] (>=2.0.0)", "dask[distributed] (>=2.0.0)", "pandas"]
+arrow = ["cffi (>=1.15.1)", "pyarrow (>=6.0.1)"]
+dask = ["dask[array,dataframe,distributed] (>=2.0.0)", "pandas (>=0.24.0)"]
+pandas = ["pandas (>=0.24.0)"]
+scikit-learn = ["scikit-learn (!=0.22.0)"]
 
 [[package]]
 name = "lightning-utilities"
@@ -2217,14 +2213,14 @@ files = [
 
 [[package]]
 name = "marshmallow"
-version = "3.21.1"
+version = "3.21.2"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2232,7 +2228,7 @@ packaging = ">=17.0"
 
 [package.extras]
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+docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
@@ -3230,6 +3226,21 @@ progress = ["tqdm (>=4.41.0,<5.0.0)"]
 sftp = ["paramiko (>=2.7.0)"]
 xxhash = ["xxhash (>=1.4.3)"]
 
+[[package]]
+name = "pretty-errors"
+version = "1.2.25"
+description = "Prettifies Python exception output to make it legible."
+category = "main"
+optional = true
+python-versions = "*"
+files = [
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+]
+
+[package.dependencies]
+colorama = "*"
+
 [[package]]
 name = "prophet"
 version = "1.1"
@@ -3618,14 +3629,14 @@ six = ">=1.5"
 
 [[package]]
 name = "pytorch-lightning"
-version = "2.2.3"
+version = "2.2.4"
 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]
@@ -3972,21 +3983,27 @@ six = "*"
 
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+version = "2.20.0"
 description = "Ray provides a simple, universal API for building distributed applications."
 category = "main"
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 ]
 
 [package.dependencies]
@@ -4007,9 +4024,9 @@ tensorboardX = {version = ">=1.9", optional = true, markers = "extra == \"tune\"
 
 [package.extras]
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-client = ["grpcio (!=1.56.0)"]
-cpp = ["ray-cpp (==2.12.0)"]
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+cpp = ["ray-cpp (==2.20.0)"]
 data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=6.0.1)"]
 default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.0 || >=2.5.0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,!=20.21.1)"]
 observability = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
@@ -4021,14 +4038,14 @@ tune = ["fsspec", "pandas", "pyarrow (>=6.0.1)", "requests", "tensorboardX (>=1.
 
 [[package]]
 name = "referencing"
-version = "0.35.0"
+version = "0.35.1"
 description = "JSON Referencing + Python"
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4207,111 +4224,111 @@ mpl = ["matplotlib (>=3.0)"]
 
 [[package]]
 name = "rpds-py"
-version = "0.18.0"
+version = "0.18.1"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 category = "main"
 optional = true
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -5406,32 +5423,33 @@ torch = ">=1.1.0"
 
 [[package]]
 name = "torchmetrics"
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+version = "1.4.0"
 description = "PyTorch native Metrics"
 category = "main"
 optional = true
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
 lightning-utilities = ">=0.8.0"
 numpy = ">1.20.0"
 packaging = ">17.1"
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 torch = ">=1.10.0"
 typing-extensions = {version = "*", markers = "python_version < \"3.9\""}
 
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 audio = ["pystoi (>=0.3.0)", "torchaudio (>=0.10.0)"]
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 image = ["scipy (>1.0.0)", "torch-fidelity (<=0.4.0)", "torchvision (>=0.8)"]
 multimodal = ["piq (<=0.8.0)", "transformers (>=4.10.0)"]
-text = ["ipadic (>=1.0.0)", "mecab-ko (>=1.0.0)", "mecab-ko-dic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>=3.6)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (>=4.41.0)", "transformers (>4.4.0)"]
-typing = ["mypy (==1.8.0)", "torch (==2.2.1)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+text = ["ipadic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>=3.6)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (>=4.41.0)", "transformers (>4.4.0)"]
+typing = ["mypy (==1.9.0)", "torch (==2.3.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
 visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.3.0)"]
 
 [[package]]
@@ -5474,14 +5492,14 @@ scipy = ["scipy"]
 
 [[package]]
 name = "tqdm"
-version = "4.66.2"
+version = "4.66.4"
 description = "Fast, Extensible Progress Meter"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
-    {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
+    {file = "tqdm-4.66.4-py3-none-any.whl", hash = "sha256:b75ca56b413b030bc3f00af51fd2c1a1a5eac6a0c1cca83cbb37a5c52abce644"},
+    {file = "tqdm-4.66.4.tar.gz", hash = "sha256:e4d936c9de8727928f3be6079590e97d9abfe8d39a590be678eb5919ffc186bb"},
 ]
 
 [package.dependencies]
@@ -5495,14 +5513,14 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.40.1"
+version = "4.40.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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-    {file = "transformers-4.40.1.tar.gz", hash = "sha256:55e1697e6f18b58273e7117bb469cdffc11be28995462d8d5e422fef38d2de36"},
+    {file = "transformers-4.40.2-py3-none-any.whl", hash = "sha256:71cb94301ec211a2e1d4b8c8d18dcfaa902dfa00a089dceca167a8aa265d6f2d"},
+    {file = "transformers-4.40.2.tar.gz", hash = "sha256:657b6054a2097671398d976ad46e60836e7e15f9ea9551631a96e33cb9240649"},
 ]
 
 [package.dependencies]
@@ -6000,4 +6018,4 @@ xai = ["pyod", "shap", "suod"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<3.12"
-content-hash = "91e7dc4522ff1379b94a06ebe7115bd7e1507c6e47af4dac8d9273196dd53078"
+content-hash = "8edd42e3eeb4639a6ca9bb43747327910a0be16728b26f450a326151bc3329c6"

From 1aa31afa1d9c15929c157a819add91805c95cae7 Mon Sep 17 00:00:00 2001
From: Patricio Cerda Mardini <patricio.mardini@mindsdb.com>
Date: Tue, 7 May 2024 19:09:18 +0200
Subject: [PATCH 04/10] bump evaluator

---
 poetry.lock    | 91 +++++++++++++++++++++++++-------------------------
 pyproject.toml |  2 +-
 2 files changed, 47 insertions(+), 46 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index ef3385049..3baae90b7 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1129,43 +1129,43 @@ woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
 [[package]]
 name = "frozendict"
-version = "2.4.3"
+version = "2.4.4"
 description = "A simple immutable dictionary"
 category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
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+    {file = "frozendict-2.4.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:dc2228874eacae390e63fd4f2bb513b3144066a977dc192163c9f6c7f6de6474"},
+    {file = "frozendict-2.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63aa49f1919af7d45fb8fd5dec4c0859bc09f46880bd6297c79bb2db2969b63d"},
+    {file = "frozendict-2.4.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c6bf9260018d653f3cab9bd147bd8592bf98a5c6e338be0491ced3c196c034a3"},
+    {file = "frozendict-2.4.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:6eb716e6a6d693c03b1d53280a1947716129f5ef9bcdd061db5c17dea44b80fe"},
+    {file = "frozendict-2.4.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d13b4310db337f4d2103867c5a05090b22bc4d50ca842093779ef541ea9c9eea"},
+    {file = "frozendict-2.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:b3b967d5065872e27b06f785a80c0ed0a45d1f7c9b85223da05358e734d858ca"},
+    {file = "frozendict-2.4.4-cp39-cp39-win_arm64.whl", hash = "sha256:4ae8d05c8d0b6134bfb6bfb369d5fa0c4df21eabb5ca7f645af95fdc6689678e"},
+    {file = "frozendict-2.4.4.tar.gz", hash = "sha256:3f7c031b26e4ee6a3f786ceb5e3abf1181c4ade92dce1f847da26ea2c96008c7"},
 ]
 
 [[package]]
@@ -2314,14 +2314,14 @@ files = [
 
 [[package]]
 name = "mindsdb-evaluator"
-version = "0.0.12"
+version = "0.0.13"
 description = "Model evaluation for Machine Learning pipelines."
 category = "main"
 optional = false
-python-versions = ">=3.8,<3.12"
+python-versions = "<3.12,>=3.8"
 files = [
-    {file = "mindsdb_evaluator-0.0.12-py3-none-any.whl", hash = "sha256:413731d03f7e00381862f0a7877a47a7c4a0473c3f3adf639b528de1ad740cca"},
-    {file = "mindsdb_evaluator-0.0.12.tar.gz", hash = "sha256:4aa701b6863b599728ac06a8ca1a8d0ec71fd4c912cf4a44f7dde6cf53115c25"},
+    {file = "mindsdb_evaluator-0.0.13-py3-none-any.whl", hash = "sha256:8ffac751dea468168cd750de38de0bfc5b8b92eca6a9f2451ba0e9e0a6bfda93"},
+    {file = "mindsdb_evaluator-0.0.13.tar.gz", hash = "sha256:496dc661ef7291bb3a65589271d020c220403fd8b1e2fd556d29bf9092b68c30"},
 ]
 
 [package.dependencies]
@@ -3166,23 +3166,23 @@ files = [
 
 [[package]]
 name = "polars"
-version = "0.20.23"
+version = "0.20.24"
 description = "Blazingly fast DataFrame library"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "polars-0.20.23-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:9b1001a29e785126f0e189786223c45bf9c7696ed3d221a61dd629ff5e8229d3"},
-    {file = "polars-0.20.23-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:7de724f9b7f94c76008023b1ef9319e7dccada97e98d48d548be487be8dc2ea6"},
-    {file = "polars-0.20.23-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f109512a456f9f8bdc20e5b19e5794471d4a1a507f99daf1afe1b41eb3227c41"},
-    {file = "polars-0.20.23-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:bfd10ffabafecba3bb836f9e267405abc8259da5fb8d5e74096d46eea802a295"},
-    {file = "polars-0.20.23-cp38-abi3-win_amd64.whl", hash = "sha256:de69adcfe4a92821f28c0223b801e56a36682a7aac32df8e860e6df7678f4c8a"},
-    {file = "polars-0.20.23.tar.gz", hash = "sha256:4503c446c7771d5b52d5bff4f2dbf2e999a87a1cc3c89931db255cff43218436"},
+    {file = "polars-0.20.24-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:a2c7282e0c81f038c9800ec4e1d97fe53dcacbba9632baf31a633e8bf12caab3"},
+    {file = "polars-0.20.24-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:02587e12435e583693351c4757cf571b90165ceb53b031e891aadf2c816cc59d"},
+    {file = "polars-0.20.24-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dfbb129941dd0cfa05f0fb5ef1cde341fed336b4dfcb81c3bef6f3f6b899cb17"},
+    {file = "polars-0.20.24-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:9921df98cee040903d35aef2c7237182240451e1ad413116a82e1e166d8fe943"},
+    {file = "polars-0.20.24-cp38-abi3-win_amd64.whl", hash = "sha256:dc0fb1169d3d0b286793421a6919c6a9f06235b9f93c1e00f01f199e038d3681"},
+    {file = "polars-0.20.24.tar.gz", hash = "sha256:a0c11f3b5e756bab7ba164ed73104c96fa9c861efce157fe8991b3eafeb4b0b8"},
 ]
 
 [package.extras]
 adbc = ["adbc-driver-manager", "adbc-driver-sqlite"]
-all = ["polars[adbc,async,cloudpickle,connectorx,deltalake,fastexcel,fsspec,gevent,numpy,pandas,plot,pyarrow,pydantic,pyiceberg,sqlalchemy,timezone,xlsx2csv,xlsxwriter]"]
+all = ["polars[adbc,async,cloudpickle,connectorx,deltalake,fastexcel,fsspec,gevent,numpy,pandas,plot,pyarrow,pydantic,pyiceberg,sqlalchemy,timezone,torch,xlsx2csv,xlsxwriter]"]
 async = ["nest-asyncio"]
 cloudpickle = ["cloudpickle"]
 connectorx = ["connectorx (>=0.3.2)"]
@@ -3201,6 +3201,7 @@ pyiceberg = ["pyiceberg (>=0.5.0)"]
 pyxlsb = ["pyxlsb (>=1.0)"]
 sqlalchemy = ["pandas", "sqlalchemy"]
 timezone = ["backports-zoneinfo", "tzdata"]
+torch = ["torch"]
 xlsx2csv = ["xlsx2csv (>=0.8.0)"]
 xlsxwriter = ["xlsxwriter"]
 
@@ -6018,4 +6019,4 @@ xai = ["pyod", "shap", "suod"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<3.12"
-content-hash = "8edd42e3eeb4639a6ca9bb43747327910a0be16728b26f450a326151bc3329c6"
+content-hash = "d231d3b167631366d4f618fe4984d5e43463eca789991ff77f7d6618e5c0efe5"
diff --git a/pyproject.toml b/pyproject.toml
index ef0605a89..e689c9f6c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,7 +14,7 @@ readme = "README.md"
 python = ">=3.8.1,<3.12"
 type_infer = ">=0.0.15"
 dataprep_ml = ">=0.0.18"
-mindsdb-evaluator = ">=0.0.12"
+mindsdb-evaluator = ">=0.0.13"
 numpy = ">1.23.0"
 nltk = ">=3.8, <3.9"
 pandas = ">=2.0.0, <2.1.0"

From 2b2adbb94b958327cde33b1f14a789b19b7745b2 Mon Sep 17 00:00:00 2001
From: Patricio Cerda Mardini <patricio.mardini@mindsdb.com>
Date: Mon, 13 May 2024 14:40:54 +0200
Subject: [PATCH 05/10] bump dataprep_ml

---
 poetry.lock    | 524 +++++++++++++++++++++++--------------------------
 pyproject.toml |   2 +-
 2 files changed, 252 insertions(+), 274 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 3baae90b7..471e74279 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -803,14 +803,14 @@ files = [
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.5"
+version = "0.6.6"
 description = "Easily serialize dataclasses to and from JSON."
 category = "main"
 optional = false
 python-versions = "<4.0,>=3.7"
 files = [
-    {file = "dataclasses_json-0.6.5-py3-none-any.whl", hash = "sha256:f49c77aa3a85cac5bf5b7f65f4790ca0d2be8ef4d92c75e91ba0103072788a39"},
-    {file = "dataclasses_json-0.6.5.tar.gz", hash = "sha256:1c287594d9fcea72dc42d6d3836cf14848c2dc5ce88f65ed61b36b57f515fe26"},
+    {file = "dataclasses_json-0.6.6-py3-none-any.whl", hash = "sha256:e54c5c87497741ad454070ba0ed411523d46beb5da102e221efb873801b0ba85"},
+    {file = "dataclasses_json-0.6.6.tar.gz", hash = "sha256:0c09827d26fffda27f1be2fed7a7a01a29c5ddcd2eb6393ad5ebf9d77e9deae8"},
 ]
 
 [package.dependencies]
@@ -819,14 +819,14 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "dataprep-ml"
-version = "0.0.23"
+version = "24.5.1.0"
 description = "Automated dataframe analysis for Machine Learning pipelines."
 category = "main"
 optional = false
 python-versions = "<3.12,>=3.8"
 files = [
-    {file = "dataprep_ml-0.0.23-py3-none-any.whl", hash = "sha256:115112d73bde0a12222bdc06dec473644c34bd3700ce03c41c4392060599a465"},
-    {file = "dataprep_ml-0.0.23.tar.gz", hash = "sha256:35894a2dd576c593ce0d7a47bda141f1c4454dd0a7765dd439de9b09f35bb19a"},
+    {file = "dataprep_ml-24.5.1.0-py3-none-any.whl", hash = "sha256:3280c9e9cab819404f7ca352501cee0743788ce2aba5bc96dbcdd07eac45f9af"},
+    {file = "dataprep_ml-24.5.1.0.tar.gz", hash = "sha256:3cb522d21574ec23305ba5c19213b09604be7612b71095061c7adfed305e7c26"},
 ]
 
 [package.dependencies]
@@ -1952,166 +1952,150 @@ pytz = "*"
 
 [[package]]
 name = "lxml"
-version = "5.2.1"
+version = "5.2.2"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
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@@ -4025,9 +4003,9 @@ tensorboardX = {version = ">=1.9", optional = true, markers = "extra == \"tune\"
 
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-cpp = ["ray-cpp (==2.20.0)"]
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 data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=6.0.1)"]
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 observability = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
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 name = "regex"
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 description = "Alternative regular expression module, to replace re."
 category = "main"
 optional = false
 python-versions = ">=3.8"
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+    {file = "regex-2024.5.10-cp39-cp39-win_amd64.whl", hash = "sha256:0ce56a923f4c01d7568811bfdffe156268c0a7aae8a94c902b92fe34c4bde785"},
+    {file = "regex-2024.5.10.tar.gz", hash = "sha256:304e7e2418146ae4d0ef0e9ffa28f881f7874b45b4994cc2279b21b6e7ae50c8"},
 ]
 
 [[package]]
@@ -5765,14 +5743,14 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "utilsforecast"
-version = "0.1.7"
+version = "0.1.9"
 description = "Forecasting utilities"
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "utilsforecast-0.1.7-py3-none-any.whl", hash = "sha256:05322b15d46977ef5bca44b42f3bc987a7040b92b2b6a5a42fc0fed555322a4f"},
-    {file = "utilsforecast-0.1.7.tar.gz", hash = "sha256:c5feef154cb2a389ccbe5613540169459a4ef150bfcf97141dbcce733ce155be"},
+    {file = "utilsforecast-0.1.9-py3-none-any.whl", hash = "sha256:397e84665a33da70d9dfe4fccc6a510e0fa82b3069903f71b6c8b4419dd63d0e"},
+    {file = "utilsforecast-0.1.9.tar.gz", hash = "sha256:db65ef7cd449385f54fceefe0a0d423e601c46ef5b81954af75402c8f862a3fc"},
 ]
 
 [package.dependencies]
@@ -6019,4 +5997,4 @@ xai = ["pyod", "shap", "suod"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<3.12"
-content-hash = "d231d3b167631366d4f618fe4984d5e43463eca789991ff77f7d6618e5c0efe5"
+content-hash = "883d529dc620932b61ca70393045aa7cbeb54fa0e45ab3f637f5bc22ce509a85"
diff --git a/pyproject.toml b/pyproject.toml
index e689c9f6c..87ddc15d3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ readme = "README.md"
 [tool.poetry.dependencies]
 python = ">=3.8.1,<3.12"
 type_infer = ">=0.0.15"
-dataprep_ml = ">=0.0.18"
+dataprep_ml = ">=24.5.1.0,<24.6.1.0"
 mindsdb-evaluator = ">=0.0.13"
 numpy = ">1.23.0"
 nltk = ">=3.8, <3.9"

From facf75795f7c26de7f551b3e8ae4e87ca97d99c1 Mon Sep 17 00:00:00 2001
From: Patricio Cerda Mardini <patricio.mardini@mindsdb.com>
Date: Mon, 13 May 2024 14:42:46 +0200
Subject: [PATCH 06/10] version bump: 24.5.2.0

---
 lightwood/__about__.py | 2 +-
 pyproject.toml         | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/lightwood/__about__.py b/lightwood/__about__.py
index 7a82050a4..38481ebd3 100644
--- a/lightwood/__about__.py
+++ b/lightwood/__about__.py
@@ -1,6 +1,6 @@
 __title__ = 'lightwood'
 __package_name__ = 'lightwood'
-__version__ = '24.3.3.1'
+__version__ = '24.5.2.0'
 __description__ = "Lightwood is a toolkit for automatic machine learning model building"
 __email__ = "community@mindsdb.com"
 __author__ = 'MindsDB Inc'
diff --git a/pyproject.toml b/pyproject.toml
index 87ddc15d3..f0065a609 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "lightwood"
-version = "24.3.3.1"
+version = "24.5.2.0"
 description = "Lightwood is Legos for Machine Learning."
 authors = ["MindsDB Inc."]
 license = "GPL-3.0-only"

From 12fcd3c14205645c131623c2338bfbf93a52f5cf Mon Sep 17 00:00:00 2001
From: Patricio Cerda Mardini <patricio.mardini@mindsdb.com>
Date: Wed, 15 May 2024 00:37:43 +0200
Subject: [PATCH 07/10] bump dataprep

---
 poetry.lock    | 106 ++++++++++++++++++++++++-------------------------
 pyproject.toml |   2 +-
 2 files changed, 54 insertions(+), 54 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 471e74279..5a7ff96a2 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -819,14 +819,14 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "dataprep-ml"
-version = "24.5.1.0"
+version = "24.5.1.1"
 description = "Automated dataframe analysis for Machine Learning pipelines."
 category = "main"
 optional = false
 python-versions = "<3.12,>=3.8"
 files = [
-    {file = "dataprep_ml-24.5.1.0-py3-none-any.whl", hash = "sha256:3280c9e9cab819404f7ca352501cee0743788ce2aba5bc96dbcdd07eac45f9af"},
-    {file = "dataprep_ml-24.5.1.0.tar.gz", hash = "sha256:3cb522d21574ec23305ba5c19213b09604be7612b71095061c7adfed305e7c26"},
+    {file = "dataprep_ml-24.5.1.1-py3-none-any.whl", hash = "sha256:7b080e2db524a9d372fb50329c04956de1c3074e577ce507d7103e90d65230eb"},
+    {file = "dataprep_ml-24.5.1.1.tar.gz", hash = "sha256:b5ab8af4f43413cef5814033a795c64bcea35e8517d2f76ffea95b18c488991f"},
 ]
 
 [package.dependencies]
@@ -2107,14 +2107,14 @@ source = ["Cython (>=3.0.10)"]
 
 [[package]]
 name = "mako"
-version = "1.3.3"
+version = "1.3.5"
 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 = [
-    {file = "Mako-1.3.3-py3-none-any.whl", hash = "sha256:5324b88089a8978bf76d1629774fcc2f1c07b82acdf00f4c5dd8ceadfffc4b40"},
-    {file = "Mako-1.3.3.tar.gz", hash = "sha256:e16c01d9ab9c11f7290eef1cfefc093fb5a45ee4a3da09e2fec2e4d1bae54e73"},
+    {file = "Mako-1.3.5-py3-none-any.whl", hash = "sha256:260f1dbc3a519453a9c856dedfe4beb4e50bd5a26d96386cb6c80856556bb91a"},
+    {file = "Mako-1.3.5.tar.gz", hash = "sha256:48dbc20568c1d276a2698b36d968fa76161bf127194907ea6fc594fa81f943bc"},
 ]
 
 [package.dependencies]
@@ -3150,23 +3150,23 @@ files = [
 
 [[package]]
 name = "polars"
-version = "0.20.25"
+version = "0.20.26"
 description = "Blazingly fast DataFrame library"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "polars-0.20.25-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:3bda62b681726538714a1159638ab7c9eeca6b8633fd778d84810c3e13b9c7e3"},
-    {file = "polars-0.20.25-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:62c8826e81c759f07bf5c0ae00f57a537644ae05fe68737185666b8ad8430664"},
-    {file = "polars-0.20.25-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:0fb5e7a4a9831fba742f1c706e01656607089b6362a5e6f8d579b134a99795ce"},
-    {file = "polars-0.20.25-cp38-abi3-win_amd64.whl", hash = "sha256:9eaeb9080c853e11b207d191025e0ba8fd59ea06a36c22d410a48f2f124e18cd"},
-    {file = "polars-0.20.25.tar.gz", hash = "sha256:4308d63f956874bac9ae040bdd6d62b2992d0b1e1349301bc7a3b59458189108"},
+    {file = "polars-0.20.26-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:97d0e4b6ab6b47fa07798b447189ee9505d2085ec1a64a6aa8a65fdd429cd49f"},
+    {file = "polars-0.20.26-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:c270e366b4d8b672b204e7d48e39d255641d3d2b7bdc3a0ccd968cf53934657f"},
+    {file = "polars-0.20.26-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db35d6eed508256a797c7f1b8e9dec4aae9c11b891797b2d38fac5627d072d34"},
+    {file = "polars-0.20.26-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:25b00bd5cf44929722aa6389706559c5e8cedd6db2cfc38b27b706ed37e1b2af"},
+    {file = "polars-0.20.26-cp38-abi3-win_amd64.whl", hash = "sha256:b22063acc815bc5c6d2e24292ff771ca0df306ecf97e8f6899924a1ec6d3f136"},
+    {file = "polars-0.20.26.tar.gz", hash = "sha256:fa83d130562a5180a47f8763a7bb9f408dbbf51eafc1380e8a2951be8ce05a2c"},
 ]
 
 [package.extras]
 adbc = ["adbc-driver-manager", "adbc-driver-sqlite"]
-all = ["polars[adbc,async,cloudpickle,connectorx,deltalake,fastexcel,fsspec,gevent,numpy,pandas,plot,pyarrow,pydantic,pyiceberg,sqlalchemy,timezone,torch,xlsx2csv,xlsxwriter]"]
+all = ["polars[adbc,async,cloudpickle,connectorx,deltalake,fastexcel,fsspec,gevent,iceberg,numpy,pandas,plot,pyarrow,pydantic,sqlalchemy,timezone,torch,xlsx2csv,xlsxwriter]"]
 async = ["nest-asyncio"]
 cloudpickle = ["cloudpickle"]
 connectorx = ["connectorx (>=0.3.2)"]
@@ -3174,6 +3174,7 @@ deltalake = ["deltalake (>=0.15.0)"]
 fastexcel = ["fastexcel (>=0.9)"]
 fsspec = ["fsspec"]
 gevent = ["gevent"]
+iceberg = ["pyiceberg (>=0.5.0)"]
 matplotlib = ["matplotlib"]
 numpy = ["numpy (>=1.16.0)"]
 openpyxl = ["openpyxl (>=3.0.0)"]
@@ -3181,7 +3182,6 @@ pandas = ["pandas", "pyarrow (>=7.0.0)"]
 plot = ["hvplot (>=0.9.1)"]
 pyarrow = ["pyarrow (>=7.0.0)"]
 pydantic = ["pydantic"]
-pyiceberg = ["pyiceberg (>=0.5.0)"]
 pyxlsb = ["pyxlsb (>=1.0)"]
 sqlalchemy = ["pandas", "sqlalchemy"]
 timezone = ["backports-zoneinfo", "tzdata"]
@@ -3331,48 +3331,48 @@ numpy = "*"
 
 [[package]]
 name = "pyarrow"
-version = "16.0.0"
+version = "16.1.0"
 description = "Python library for Apache Arrow"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "pyarrow-16.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:df0080339387b5d30de31e0a149c0c11a827a10c82f0c67d9afae3981d1aabb7"},
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+    {file = "pyarrow-16.1.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:25233642583bf658f629eb230b9bb79d9af4d9f9229890b3c878699c82f7d11e"},
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+    {file = "pyarrow-16.1.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b04707f1979815f5e49824ce52d1dceb46e2f12909a48a6a753fe7cafbc44a0c"},
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+    {file = "pyarrow-16.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fbef391b63f708e103df99fbaa3acf9f671d77a183a07546ba2f2c297b361e83"},
+    {file = "pyarrow-16.1.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:19741c4dbbbc986d38856ee7ddfdd6a00fc3b0fc2d928795b95410d38bb97d15"},
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+    {file = "pyarrow-16.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:e6b6d3cd35fbb93b70ade1336022cc1147b95ec6af7d36906ca7fe432eb09710"},
+    {file = "pyarrow-16.1.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:18da9b76a36a954665ccca8aa6bd9f46c1145f79c0bb8f4f244f5f8e799bca55"},
+    {file = "pyarrow-16.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:99f7549779b6e434467d2aa43ab2b7224dd9e41bdde486020bae198978c9e05e"},
+    {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f07fdffe4fd5b15f5ec15c8b64584868d063bc22b86b46c9695624ca3505b7b4"},
+    {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ddfe389a08ea374972bd4065d5f25d14e36b43ebc22fc75f7b951f24378bf0b5"},
+    {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:3b20bd67c94b3a2ea0a749d2a5712fc845a69cb5d52e78e6449bbd295611f3aa"},
+    {file = "pyarrow-16.1.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:ba8ac20693c0bb0bf4b238751d4409e62852004a8cf031c73b0e0962b03e45e3"},
+    {file = "pyarrow-16.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:31a1851751433d89a986616015841977e0a188662fcffd1a5677453f1df2de0a"},
+    {file = "pyarrow-16.1.0.tar.gz", hash = "sha256:15fbb22ea96d11f0b5768504a3f961edab25eaf4197c341720c4a387f6c60315"},
 ]
 
 [package.dependencies]
@@ -5997,4 +5997,4 @@ xai = ["pyod", "shap", "suod"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<3.12"
-content-hash = "883d529dc620932b61ca70393045aa7cbeb54fa0e45ab3f637f5bc22ce509a85"
+content-hash = "9dc16289cde080a6d4776d570bf7d299d79f4125cba2e05b5df6604480490eef"
diff --git a/pyproject.toml b/pyproject.toml
index f0065a609..cff03d164 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ readme = "README.md"
 [tool.poetry.dependencies]
 python = ">=3.8.1,<3.12"
 type_infer = ">=0.0.15"
-dataprep_ml = ">=24.5.1.0,<24.6.1.0"
+dataprep_ml = ">=24.5.1.1,<24.6.1.0"
 mindsdb-evaluator = ">=0.0.13"
 numpy = ">1.23.0"
 nltk = ">=3.8, <3.9"

From 1da571df6cd7abdbfa1b9276d4da1162d74696e5 Mon Sep 17 00:00:00 2001
From: Patricio Cerda Mardini <patricio.mardini@mindsdb.com>
Date: Wed, 15 May 2024 14:13:12 +0200
Subject: [PATCH 08/10] bump dataprep and fix TS tests

---
 pyproject.toml                                |  2 +-
 tests/integration/advanced/test_timeseries.py | 25 ++++++++++---------
 2 files changed, 14 insertions(+), 13 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index cff03d164..41d7b94ae 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,7 +13,7 @@ readme = "README.md"
 [tool.poetry.dependencies]
 python = ">=3.8.1,<3.12"
 type_infer = ">=0.0.15"
-dataprep_ml = ">=24.5.1.1,<24.6.1.0"
+dataprep_ml = ">=24.5.1.2,<24.6.1.0"
 mindsdb-evaluator = ">=0.0.13"
 numpy = ">1.23.0"
 nltk = ">=3.8, <3.9"
diff --git a/tests/integration/advanced/test_timeseries.py b/tests/integration/advanced/test_timeseries.py
index 412f36732..c6ab4e87a 100644
--- a/tests/integration/advanced/test_timeseries.py
+++ b/tests/integration/advanced/test_timeseries.py
@@ -271,24 +271,25 @@ def test_5_time_series_arima_mixer(self):
         """  # noqa
 
         # synth square wave
-        tsteps = 100
+        tsteps = 250
         target = 'Value'
         horizon = 20
-        t = np.linspace(0, 100, tsteps, endpoint=False)
+        window = 5
+        t = np.linspace(0, 1000, tsteps, endpoint=False)
         ts = [i + f for i, f in enumerate(signal.sawtooth(2 * np.pi * 5 * t, width=0.5))]
         df = pd.DataFrame(columns=['Time', target])
         df['Time'] = t
         df[target] = ts
         df[f'{target}_2x'] = [2 * elt for elt in ts]
 
-        train = df[:int(len(df) * 0.8)]
-        test = df[int(len(df) * 0.8):]
+        train = df[:-horizon]
+        test = df[-horizon:]
 
         pdef = ProblemDefinition.from_dict({'target': target,
                                             'time_aim': 200,
                                             'timeseries_settings': {
                                                 'order_by': 'Time',
-                                                'window': 5,
+                                                'window': window,
                                                 'horizon': horizon,
                                                 'historical_columns': [f'{target}_2x']
                                             }})
@@ -312,7 +313,7 @@ def test_5_time_series_arima_mixer(self):
         # test offsets
         ps1 = predictor.predict(test[1:])  # one step after latest (inferred)
         ps0 = predictor.predict(test)  # normal
-        psm1 = predictor.predict(train.iloc[[-1]])  # one step before latest
+        psm1 = predictor.predict(df[-(horizon+1):])  # one step before latest
         times_1 = psm1['order_Time'].tolist()[0]
         values_1 = psm1['prediction'].tolist()[0]
         times0 = ps0['order_Time'].tolist()[0]
@@ -351,7 +352,7 @@ def test_5_time_series_arima_mixer(self):
 
     def test_6_time_series_sktime_mixer(self):
         """ Sanity check with vanilla sktime mixer using a synthetic square wave sampled at a 15 seconds interval"""
-        tsteps = 100
+        tsteps = 250
         target = 'Value'
         horizon = 20
         spacing = 15
@@ -361,8 +362,8 @@ def test_6_time_series_sktime_mixer(self):
         df['Time'] = [str(start_ts + timedelta(seconds=f)) for f in ts_gen]
         df[target] = [i + f for i, f in enumerate(signal.sawtooth(2 * np.pi * 5 * ts_gen, width=0.5))]
         df[f'{target}_2x'] = [2 * elt for elt in df[target].values]
-        train = df[:int(len(df) * 0.8)]
-        test = df[int(len(df) * 0.8):]
+        train = df[:-horizon]
+        test = df[-horizon:]
         pdef = ProblemDefinition.from_dict({'target': target,
                                             'time_aim': 200,
                                             'timeseries_settings': {
@@ -435,7 +436,7 @@ def test_7_irregular_series(self):
         """  # noqa
 
         # synth square wave
-        tsteps = 100
+        tsteps = 250
         target = 'Value'
         horizon = 20
         # added random noise for irregular sampling
@@ -447,8 +448,8 @@ def test_7_irregular_series(self):
         df[target] = ts
         df[f'{target}_2x'] = [2 * elt for elt in ts]
 
-        train = df[:int(len(df) * 0.8)]
-        test = df[int(len(df) * 0.8):]
+        train = df[:-horizon]
+        test = df[-horizon:]
 
         pdef = ProblemDefinition.from_dict({'target': target,
                                             'time_aim': 200,

From f93af6a7a31ec93e83f5149641267c12407d6975 Mon Sep 17 00:00:00 2001
From: Patricio Cerda Mardini <patricio.mardini@mindsdb.com>
Date: Wed, 15 May 2024 14:24:37 +0200
Subject: [PATCH 09/10] poetry lock

---
 poetry.lock | 65 +++++++++++++++++++++--------------------------------
 1 file changed, 25 insertions(+), 40 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 5a7ff96a2..64619da47 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -819,14 +819,14 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "dataprep-ml"
-version = "24.5.1.1"
+version = "24.5.1.2"
 description = "Automated dataframe analysis for Machine Learning pipelines."
 category = "main"
 optional = false
 python-versions = "<3.12,>=3.8"
 files = [
-    {file = "dataprep_ml-24.5.1.1-py3-none-any.whl", hash = "sha256:7b080e2db524a9d372fb50329c04956de1c3074e577ce507d7103e90d65230eb"},
-    {file = "dataprep_ml-24.5.1.1.tar.gz", hash = "sha256:b5ab8af4f43413cef5814033a795c64bcea35e8517d2f76ffea95b18c488991f"},
+    {file = "dataprep_ml-24.5.1.2-py3-none-any.whl", hash = "sha256:0d58b61a8d70fb0acc2ac26763121604214475f719ec29c480d4407e757a2b47"},
+    {file = "dataprep_ml-24.5.1.2.tar.gz", hash = "sha256:a5984794d71024b070c3bbabd99e986f621d6d1b01b63cd00337dae14cc62ade"},
 ]
 
 [package.dependencies]
@@ -3121,14 +3121,14 @@ files = [
 
 [[package]]
 name = "platformdirs"
-version = "4.2.1"
+version = "4.2.2"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "platformdirs-4.2.1-py3-none-any.whl", hash = "sha256:17d5a1161b3fd67b390023cb2d3b026bbd40abde6fdb052dfbd3a29c3ba22ee1"},
-    {file = "platformdirs-4.2.1.tar.gz", hash = "sha256:031cd18d4ec63ec53e82dceaac0417d218a6863f7745dfcc9efe7793b7039bdf"},
+    {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"},
+    {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"},
 ]
 
 [package.extras]
@@ -3211,21 +3211,6 @@ progress = ["tqdm (>=4.41.0,<5.0.0)"]
 sftp = ["paramiko (>=2.7.0)"]
 xxhash = ["xxhash (>=1.4.3)"]
 
-[[package]]
-name = "pretty-errors"
-version = "1.2.25"
-description = "Prettifies Python exception output to make it legible."
-category = "main"
-optional = true
-python-versions = "*"
-files = [
-    {file = "pretty_errors-1.2.25-py3-none-any.whl", hash = "sha256:8ce68ccd99e0f2a099265c8c1f1c23b7c60a15d69bb08816cb336e237d5dc983"},
-    {file = "pretty_errors-1.2.25.tar.gz", hash = "sha256:a16ba5c752c87c263bf92f8b4b58624e3b1e29271a9391f564f12b86e93c6755"},
-]
-
-[package.dependencies]
-colorama = "*"
-
 [[package]]
 name = "prophet"
 version = "1.1"
@@ -3968,21 +3953,21 @@ six = "*"
 
 [[package]]
 name = "ray"
-version = "2.21.0"
+version = "2.22.0"
 description = "Ray provides a simple, universal API for building distributed applications."
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "ray-2.21.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:17c755f2682be60713c1c5895dd1cde6be11ce66fe905ff65d1275c9fc7dfa98"},
-    {file = "ray-2.21.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e14c1ed90009438a19c80386d6f8ef5e84d85b484883893a048375e4d6af87dc"},
-    {file = "ray-2.21.0-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:3a642e98734003be7778cea4e5089ca4f7263497e1ce3a5334069d7a791be81d"},
-    {file = "ray-2.21.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:f162a21e53a38b4a327d51d9a2d84b6110b6af248af3dfa8f8a2ce73d204f10d"},
-    {file = "ray-2.21.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1521a39248fea0c5079d6ce3884316cd75f3d815d982e8da249f2e8334d2178e"},
-    {file = "ray-2.21.0-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:b43d84c19a0081b372915f25405973275245a6b1f590a3be9ad5b367c4288352"},
-    {file = "ray-2.21.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:36cdf493dfa5a85fb0ff02d612a8a40dbeeb0ffba1c469bb89cd1fa74db4b018"},
-    {file = "ray-2.21.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6bda45370540f2749fc355a5088cc4b0642b15e14604e6ed636dde8cb4e9e6e1"},
-    {file = "ray-2.21.0-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:a794e82656dc76f64dca8a1b78bbe5de786b62cf14ee05b678849fc8bc55c122"},
+    {file = "ray-2.22.0-cp310-cp310-macosx_10_15_x86_64.whl", hash = "sha256:d2d5105492e2e3d248d5819a2cf153dd2b7fe569ce0a0d04d8c69a0e569ac92f"},
+    {file = "ray-2.22.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f983e77e34fd9a02f9a460d1ed93f93fcb1fd2c66a7baa212d157da491094243"},
+    {file = "ray-2.22.0-cp310-cp310-manylinux2014_x86_64.whl", hash = "sha256:84f43c0baeee7dc6c82f57b3e90092e0b21979e15bc6b960fac419aa060d7824"},
+    {file = "ray-2.22.0-cp311-cp311-macosx_10_15_x86_64.whl", hash = "sha256:76fb00523ef26a040535ca96ac23c0fe65c769998edb04400871c516ba9717e7"},
+    {file = "ray-2.22.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:523f497d4fc2601972b705ffc423b61c0db49fca955787fe7ebd5d4aaedcec2b"},
+    {file = "ray-2.22.0-cp311-cp311-manylinux2014_x86_64.whl", hash = "sha256:dfd8a3b14c7328de83c9e972b485e58bb5c430b5531210b36d4ce587cc29ba5f"},
+    {file = "ray-2.22.0-cp39-cp39-macosx_10_15_x86_64.whl", hash = "sha256:b5bbcb77b79f463e5ff5d3047d25ff3ff2986a22ee7cef79c314e8e147b99912"},
+    {file = "ray-2.22.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d18ea581f9173e82c8cf0dda10101f9b5ed713b79a30be4c85785fb21d059008"},
+    {file = "ray-2.22.0-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:6cc540174552df4131781965f20303e50348e763c53bd625a09de9e4e175dfd1"},
 ]
 
 [package.dependencies]
@@ -4003,9 +3988,9 @@ tensorboardX = {version = ">=1.9", optional = true, markers = "extra == \"tune\"
 
 [package.extras]
 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"]
-all = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "dm-tree", "fastapi", "fsspec", "grpcio (!=1.56.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "gymnasium (==0.28.1)", "lz4", "memray", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "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)", "pyyaml", "ray-cpp (==2.21.0)", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
+all = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "dm-tree", "fastapi", "fsspec", "grpcio (!=1.56.0)", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "gymnasium (==0.28.1)", "lz4", "memray", "numpy (>=1.20)", "opencensus", "opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk", "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)", "pyyaml", "ray-cpp (==2.22.0)", "requests", "rich", "scikit-image", "scipy", "smart-open", "starlette", "tensorboardX (>=1.9)", "typer", "uvicorn[standard]", "virtualenv (>=20.0.24,!=20.21.1)", "watchfiles"]
 client = ["grpcio (!=1.56.0)"]
-cpp = ["ray-cpp (==2.21.0)"]
+cpp = ["ray-cpp (==2.22.0)"]
 data = ["fsspec", "numpy (>=1.20)", "pandas (>=1.3)", "pyarrow (>=6.0.1)"]
 default = ["aiohttp (>=3.7)", "aiohttp-cors", "colorful", "grpcio (>=1.32.0)", "grpcio (>=1.42.0)", "memray", "opencensus", "prometheus-client (>=0.7.1)", "py-spy (>=0.2.0)", "pydantic (<2.0.0 || >=2.5.0,<3)", "requests", "smart-open", "virtualenv (>=20.0.24,!=20.21.1)"]
 observability = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
@@ -5402,29 +5387,29 @@ torch = ">=1.1.0"
 
 [[package]]
 name = "torchmetrics"
-version = "1.4.0"
+version = "1.4.0.post0"
 description = "PyTorch native Metrics"
 category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "torchmetrics-1.4.0-py3-none-any.whl", hash = "sha256:18599929a0fff7d4b840a3f9a7700054121850c378caaf7206f4161c0a5dc93c"},
-    {file = "torchmetrics-1.4.0.tar.gz", hash = "sha256:0b1e5acdcc9beb05bfe369d3d56cfa5b143f060ebfd6079d19ccc59ba46465b3"},
+    {file = "torchmetrics-1.4.0.post0-py3-none-any.whl", hash = "sha256:ab234216598e3fbd8d62ee4541a0e74e7e8fc935d099683af5b8da50f745b3c8"},
+    {file = "torchmetrics-1.4.0.post0.tar.gz", hash = "sha256:ab9bcfe80e65dbabbddb6cecd9be21f1f1d5207bb74051ef95260740f2762358"},
 ]
 
 [package.dependencies]
 lightning-utilities = ">=0.8.0"
 numpy = ">1.20.0"
 packaging = ">17.1"
-pretty-errors = "1.2.25"
 torch = ">=1.10.0"
 typing-extensions = {version = "*", markers = "python_version < \"3.9\""}
 
 [package.extras]
-all = ["SciencePlots (>=2.0.0)", "ipadic (>=1.0.0)", "matplotlib (>=3.3.0)", "mecab-python3 (>=1.0.6)", "mypy (==1.9.0)", "nltk (>=3.6)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "regex (>=2021.9.24)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "torch (==2.3.0)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+all = ["SciencePlots (>=2.0.0)", "ipadic (>=1.0.0)", "matplotlib (>=3.3.0)", "mecab-python3 (>=1.0.6)", "mypy (==1.9.0)", "nltk (>=3.6)", "piq (<=0.8.0)", "pretty-errors (>=1.2.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "regex (>=2021.9.24)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "torch (==2.3.0)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
 audio = ["pystoi (>=0.3.0)", "torchaudio (>=0.10.0)"]
+debug = ["pretty-errors (>=1.2.0)"]
 detection = ["pycocotools (>2.0.0)", "torchvision (>=0.8)"]
-dev = ["SciencePlots (>=2.0.0)", "bert-score (==0.3.13)", "dython (<=0.7.5)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.3.3)", "huggingface-hub (<0.23)", "ipadic (>=1.0.0)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "lpips (<=0.1.4)", "matplotlib (>=3.3.0)", "mecab-ko (>=1.0.0)", "mecab-ko-dic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "mir-eval (>=0.6)", "monai (==1.3.0)", "mypy (==1.9.0)", "netcal (>1.0.0)", "nltk (>=3.6)", "numpy (<1.25.0)", "pandas (>1.0.0)", "pandas (>=1.4.0)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "rouge-score (>0.1.0)", "sacrebleu (>=2.3.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch (==2.3.0)", "torch-complex (<=0.4.3)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+dev = ["SciencePlots (>=2.0.0)", "bert-score (==0.3.13)", "dython (<=0.7.5)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.3.3)", "huggingface-hub (<0.23)", "ipadic (>=1.0.0)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "lpips (<=0.1.4)", "matplotlib (>=3.3.0)", "mecab-ko (>=1.0.0)", "mecab-ko-dic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "mir-eval (>=0.6)", "monai (==1.3.0)", "mypy (==1.9.0)", "netcal (>1.0.0)", "nltk (>=3.6)", "numpy (<1.27.0)", "pandas (>1.0.0)", "pandas (>=1.4.0)", "piq (<=0.8.0)", "pretty-errors (>=1.2.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "rouge-score (>0.1.0)", "sacrebleu (>=2.3.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "sentencepiece (>=0.2.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch (==2.3.0)", "torch-complex (<=0.4.3)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
 image = ["scipy (>1.0.0)", "torch-fidelity (<=0.4.0)", "torchvision (>=0.8)"]
 multimodal = ["piq (<=0.8.0)", "transformers (>=4.10.0)"]
 text = ["ipadic (>=1.0.0)", "mecab-python3 (>=1.0.6)", "nltk (>=3.6)", "regex (>=2021.9.24)", "sentencepiece (>=0.2.0)", "tqdm (>=4.41.0)", "transformers (>4.4.0)"]
@@ -5997,4 +5982,4 @@ xai = ["pyod", "shap", "suod"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<3.12"
-content-hash = "9dc16289cde080a6d4776d570bf7d299d79f4125cba2e05b5df6604480490eef"
+content-hash = "1a5c955843c1fc820b401b64b6480f3e68dab3556eb6dc75ff2f4ae3ce5c7999"

From c3e0ce76d468d5a28b1af382d69546adbd7841c7 Mon Sep 17 00:00:00 2001
From: Patricio Cerda Mardini <patricio.mardini@mindsdb.com>
Date: Wed, 15 May 2024 14:32:23 +0200
Subject: [PATCH 10/10] lint: flake8:

---
 tests/integration/advanced/test_timeseries.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/integration/advanced/test_timeseries.py b/tests/integration/advanced/test_timeseries.py
index c6ab4e87a..45217cf13 100644
--- a/tests/integration/advanced/test_timeseries.py
+++ b/tests/integration/advanced/test_timeseries.py
@@ -313,7 +313,7 @@ def test_5_time_series_arima_mixer(self):
         # test offsets
         ps1 = predictor.predict(test[1:])  # one step after latest (inferred)
         ps0 = predictor.predict(test)  # normal
-        psm1 = predictor.predict(df[-(horizon+1):])  # one step before latest
+        psm1 = predictor.predict(df[-(horizon + 1):])  # one step before latest
         times_1 = psm1['order_Time'].tolist()[0]
         values_1 = psm1['prediction'].tolist()[0]
         times0 = ps0['order_Time'].tolist()[0]