From 66bf869f0c6b866fa467f067cc3514a942e16317 Mon Sep 17 00:00:00 2001 From: "renovate[bot]" <29139614+renovate[bot]@users.noreply.github.com> Date: Fri, 24 May 2024 11:55:11 +0000 Subject: [PATCH] Update dependency polars to v0.20.29 --- poetry.lock | 21 ++++++++++----------- pyproject.toml | 2 +- 2 files changed, 11 insertions(+), 12 deletions(-) diff --git a/poetry.lock b/poetry.lock index a2b4ec7..ed8bcc5 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1523,22 +1523,22 @@ xmp = ["defusedxml"] [[package]] name = "polars" -version = "0.20.25" +version = "0.20.29" description = "Blazingly fast DataFrame library" optional = false python-versions = ">=3.8" files = [ - {file = "polars-0.20.25-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:126e3b7d9394e4b23b4cc48919b7188203feeeb35d861ad808f281eaa06d76e2"}, - {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-0.20.29-cp38-abi3-macosx_10_12_x86_64.whl", hash = "sha256:45e0de4839fd45385781f5bc1bf3d53571df16e04aa6722af094d34f689efaf1"}, + {file = "polars-0.20.29-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:438e4c7e24a6d84dbebbe7a652dd818311ed23b7a3da384716b1db0f6d152e2a"}, + {file = "polars-0.20.29-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46dd26dd34cf4688025f821ac0591fc7fde24d6468c034228b0f74b76bb1bee3"}, + {file = "polars-0.20.29-cp38-abi3-manylinux_2_24_aarch64.whl", hash = "sha256:ac94306437435047c7530bb13f8a5a89b22dff18fc9a7d46380ae96eb1a04714"}, + {file = "polars-0.20.29-cp38-abi3-win_amd64.whl", hash = "sha256:cd9b4728beb4744d0cfd947d08f5a1ce2cec9529208645e950299a5297b4b0bc"}, + {file = "polars-0.20.29.tar.gz", hash = "sha256:79d9789afc33b0618400790f66045e590be61d0f47f45567a63e1b8b76ac0382"}, ] [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,xlsx2csv,xlsxwriter]"] async = ["nest-asyncio"] cloudpickle = ["cloudpickle"] connectorx = ["connectorx (>=0.3.2)"] @@ -1546,6 +1546,7 @@ 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)"] @@ -1553,11 +1554,9 @@ 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"] -torch = ["torch"] xlsx2csv = ["xlsx2csv (>=0.8.0)"] xlsxwriter = ["xlsxwriter"] @@ -2600,4 +2599,4 @@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "~3.12" -content-hash = "be131403816bc78dd3b9be2099bafc5c6bd4633d402d2ed0d6f68c6a29aab728" +content-hash = "4addb9b9a8022ea787ed5f973131fb2611324d60df8eb000111a1507b6c7c22e" diff --git a/pyproject.toml b/pyproject.toml index a2b84ce..d567c7d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -35,7 +35,7 @@ python-multipart = "0.0.9" passlib = { version = "1.7.4", extras = ["bcrypt"] } cachetools = "5.3.3" asyncache = "0.3.1" -polars = "0.20.25" +polars = "0.20.29" scikit-learn = "1.4.2" hypercorn = "0.16.0" tzdata = "2024.1"