diff --git a/poetry.lock b/poetry.lock
index c1e99a5..7cb982e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -28,145 +28,196 @@ files = [
 
 [[package]]
 name = "contourpy"
-version = "1.0.7"
+version = "1.1.0"
 description = "Python library for calculating contours of 2D quadrilateral grids"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "contourpy-1.0.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:95c3acddf921944f241b6773b767f1cbce71d03307270e2d769fd584d5d1092d"},
-    {file = "contourpy-1.0.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fc1464c97579da9f3ab16763c32e5c5d5bb5fa1ec7ce509a4ca6108b61b84fab"},
-    {file = "contourpy-1.0.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8acf74b5d383414401926c1598ed77825cd530ac7b463ebc2e4f46638f56cce6"},
-    {file = "contourpy-1.0.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c71fdd8f1c0f84ffd58fca37d00ca4ebaa9e502fb49825484da075ac0b0b803"},
-    {file = "contourpy-1.0.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f99e9486bf1bb979d95d5cffed40689cb595abb2b841f2991fc894b3452290e8"},
-    {file = "contourpy-1.0.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87f4d8941a9564cda3f7fa6a6cd9b32ec575830780677932abdec7bcb61717b0"},
-    {file = "contourpy-1.0.7-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:9e20e5a1908e18aaa60d9077a6d8753090e3f85ca25da6e25d30dc0a9e84c2c6"},
-    {file = "contourpy-1.0.7-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:a877ada905f7d69b2a31796c4b66e31a8068b37aa9b78832d41c82fc3e056ddd"},
-    {file = "contourpy-1.0.7-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6381fa66866b0ea35e15d197fc06ac3840a9b2643a6475c8fff267db8b9f1e69"},
-    {file = "contourpy-1.0.7-cp310-cp310-win32.whl", hash = "sha256:3c184ad2433635f216645fdf0493011a4667e8d46b34082f5a3de702b6ec42e3"},
-    {file = "contourpy-1.0.7-cp310-cp310-win_amd64.whl", hash = "sha256:3caea6365b13119626ee996711ab63e0c9d7496f65641f4459c60a009a1f3e80"},
-    {file = "contourpy-1.0.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ed33433fc3820263a6368e532f19ddb4c5990855e4886088ad84fd7c4e561c71"},
-    {file = "contourpy-1.0.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:38e2e577f0f092b8e6774459317c05a69935a1755ecfb621c0a98f0e3c09c9a5"},
-    {file = "contourpy-1.0.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ae90d5a8590e5310c32a7630b4b8618cef7563cebf649011da80874d0aa8f414"},
-    {file = "contourpy-1.0.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:130230b7e49825c98edf0b428b7aa1125503d91732735ef897786fe5452b1ec2"},
-    {file = "contourpy-1.0.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:58569c491e7f7e874f11519ef46737cea1d6eda1b514e4eb5ac7dab6aa864d02"},
-    {file = "contourpy-1.0.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:54d43960d809c4c12508a60b66cb936e7ed57d51fb5e30b513934a4a23874fae"},
-    {file = "contourpy-1.0.7-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:152fd8f730c31fd67fe0ffebe1df38ab6a669403da93df218801a893645c6ccc"},
-    {file = "contourpy-1.0.7-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:9056c5310eb1daa33fc234ef39ebfb8c8e2533f088bbf0bc7350f70a29bde1ac"},
-    {file = "contourpy-1.0.7-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a9d7587d2fdc820cc9177139b56795c39fb8560f540bba9ceea215f1f66e1566"},
-    {file = "contourpy-1.0.7-cp311-cp311-win32.whl", hash = "sha256:4ee3ee247f795a69e53cd91d927146fb16c4e803c7ac86c84104940c7d2cabf0"},
-    {file = "contourpy-1.0.7-cp311-cp311-win_amd64.whl", hash = "sha256:5caeacc68642e5f19d707471890f037a13007feba8427eb7f2a60811a1fc1350"},
-    {file = "contourpy-1.0.7-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:fd7dc0e6812b799a34f6d12fcb1000539098c249c8da54f3566c6a6461d0dbad"},
-    {file = "contourpy-1.0.7-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0f9d350b639db6c2c233d92c7f213d94d2e444d8e8fc5ca44c9706cf72193772"},
-    {file = "contourpy-1.0.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e96a08b62bb8de960d3a6afbc5ed8421bf1a2d9c85cc4ea73f4bc81b4910500f"},
-    {file = "contourpy-1.0.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:031154ed61f7328ad7f97662e48660a150ef84ee1bc8876b6472af88bf5a9b98"},
-    {file = "contourpy-1.0.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e9ebb4425fc1b658e13bace354c48a933b842d53c458f02c86f371cecbedecc"},
-    {file = "contourpy-1.0.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efb8f6d08ca7998cf59eaf50c9d60717f29a1a0a09caa46460d33b2924839dbd"},
-    {file = "contourpy-1.0.7-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6c180d89a28787e4b73b07e9b0e2dac7741261dbdca95f2b489c4f8f887dd810"},
-    {file = "contourpy-1.0.7-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:b8d587cc39057d0afd4166083d289bdeff221ac6d3ee5046aef2d480dc4b503c"},
-    {file = "contourpy-1.0.7-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:769eef00437edf115e24d87f8926955f00f7704bede656ce605097584f9966dc"},
-    {file = "contourpy-1.0.7-cp38-cp38-win32.whl", hash = "sha256:62398c80ef57589bdbe1eb8537127321c1abcfdf8c5f14f479dbbe27d0322e66"},
-    {file = "contourpy-1.0.7-cp38-cp38-win_amd64.whl", hash = "sha256:57119b0116e3f408acbdccf9eb6ef19d7fe7baf0d1e9aaa5381489bc1aa56556"},
-    {file = "contourpy-1.0.7-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:30676ca45084ee61e9c3da589042c24a57592e375d4b138bd84d8709893a1ba4"},
-    {file = "contourpy-1.0.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3e927b3868bd1e12acee7cc8f3747d815b4ab3e445a28d2e5373a7f4a6e76ba1"},
-    {file = "contourpy-1.0.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:366a0cf0fc079af5204801786ad7a1c007714ee3909e364dbac1729f5b0849e5"},
-    {file = "contourpy-1.0.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89ba9bb365446a22411f0673abf6ee1fea3b2cf47b37533b970904880ceb72f3"},
-    {file = "contourpy-1.0.7-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:71b0bf0c30d432278793d2141362ac853859e87de0a7dee24a1cea35231f0d50"},
-    {file = "contourpy-1.0.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7281244c99fd7c6f27c1c6bfafba878517b0b62925a09b586d88ce750a016d2"},
-    {file = "contourpy-1.0.7-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b6d0f9e1d39dbfb3977f9dd79f156c86eb03e57a7face96f199e02b18e58d32a"},
-    {file = "contourpy-1.0.7-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7f6979d20ee5693a1057ab53e043adffa1e7418d734c1532e2d9e915b08d8ec2"},
-    {file = "contourpy-1.0.7-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5dd34c1ae752515318224cba7fc62b53130c45ac6a1040c8b7c1a223c46e8967"},
-    {file = "contourpy-1.0.7-cp39-cp39-win32.whl", hash = "sha256:c5210e5d5117e9aec8c47d9156d1d3835570dd909a899171b9535cb4a3f32693"},
-    {file = "contourpy-1.0.7-cp39-cp39-win_amd64.whl", hash = "sha256:60835badb5ed5f4e194a6f21c09283dd6e007664a86101431bf870d9e86266c4"},
-    {file = "contourpy-1.0.7-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ce41676b3d0dd16dbcfabcc1dc46090aaf4688fd6e819ef343dbda5a57ef0161"},
-    {file = "contourpy-1.0.7-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5a011cf354107b47c58ea932d13b04d93c6d1d69b8b6dce885e642531f847566"},
-    {file = "contourpy-1.0.7-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:31a55dccc8426e71817e3fe09b37d6d48ae40aae4ecbc8c7ad59d6893569c436"},
-    {file = "contourpy-1.0.7-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:69f8ff4db108815addd900a74df665e135dbbd6547a8a69333a68e1f6e368ac2"},
-    {file = "contourpy-1.0.7-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:efe99298ba37e37787f6a2ea868265465410822f7bea163edcc1bd3903354ea9"},
-    {file = "contourpy-1.0.7-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a1e97b86f73715e8670ef45292d7cc033548266f07d54e2183ecb3c87598888f"},
-    {file = "contourpy-1.0.7-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc331c13902d0f50845099434cd936d49d7a2ca76cb654b39691974cb1e4812d"},
-    {file = "contourpy-1.0.7-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:24847601071f740837aefb730e01bd169fbcaa610209779a78db7ebb6e6a7051"},
-    {file = "contourpy-1.0.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:abf298af1e7ad44eeb93501e40eb5a67abbf93b5d90e468d01fc0c4451971afa"},
-    {file = "contourpy-1.0.7-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:64757f6460fc55d7e16ed4f1de193f362104285c667c112b50a804d482777edd"},
-    {file = "contourpy-1.0.7.tar.gz", hash = "sha256:d8165a088d31798b59e91117d1f5fc3df8168d8b48c4acc10fc0df0d0bdbcc5e"},
+    {file = "contourpy-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:89f06eff3ce2f4b3eb24c1055a26981bffe4e7264acd86f15b97e40530b794bc"},
+    {file = "contourpy-1.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dffcc2ddec1782dd2f2ce1ef16f070861af4fb78c69862ce0aab801495dda6a3"},
+    {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:25ae46595e22f93592d39a7eac3d638cda552c3e1160255258b695f7b58e5655"},
+    {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:17cfaf5ec9862bc93af1ec1f302457371c34e688fbd381f4035a06cd47324f48"},
+    {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18a64814ae7bce73925131381603fff0116e2df25230dfc80d6d690aa6e20b37"},
+    {file = "contourpy-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:90c81f22b4f572f8a2110b0b741bb64e5a6427e0a198b2cdc1fbaf85f352a3aa"},
+    {file = "contourpy-1.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:53cc3a40635abedbec7f1bde60f8c189c49e84ac180c665f2cd7c162cc454baa"},
+    {file = "contourpy-1.1.0-cp310-cp310-win32.whl", hash = "sha256:9b2dd2ca3ac561aceef4c7c13ba654aaa404cf885b187427760d7f7d4c57cff8"},
+    {file = "contourpy-1.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:1f795597073b09d631782e7245016a4323cf1cf0b4e06eef7ea6627e06a37ff2"},
+    {file = "contourpy-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0b7b04ed0961647691cfe5d82115dd072af7ce8846d31a5fac6c142dcce8b882"},
+    {file = "contourpy-1.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:27bc79200c742f9746d7dd51a734ee326a292d77e7d94c8af6e08d1e6c15d545"},
+    {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:052cc634bf903c604ef1a00a5aa093c54f81a2612faedaa43295809ffdde885e"},
+    {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9382a1c0bc46230fb881c36229bfa23d8c303b889b788b939365578d762b5c18"},
+    {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e5cec36c5090e75a9ac9dbd0ff4a8cf7cecd60f1b6dc23a374c7d980a1cd710e"},
+    {file = "contourpy-1.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f0cbd657e9bde94cd0e33aa7df94fb73c1ab7799378d3b3f902eb8eb2e04a3a"},
+    {file = "contourpy-1.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:181cbace49874f4358e2929aaf7ba84006acb76694102e88dd15af861996c16e"},
+    {file = "contourpy-1.1.0-cp311-cp311-win32.whl", hash = "sha256:edb989d31065b1acef3828a3688f88b2abb799a7db891c9e282df5ec7e46221b"},
+    {file = "contourpy-1.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:fb3b7d9e6243bfa1efb93ccfe64ec610d85cfe5aec2c25f97fbbd2e58b531256"},
+    {file = "contourpy-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bcb41692aa09aeb19c7c213411854402f29f6613845ad2453d30bf421fe68fed"},
+    {file = "contourpy-1.1.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:5d123a5bc63cd34c27ff9c7ac1cd978909e9c71da12e05be0231c608048bb2ae"},
+    {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:62013a2cf68abc80dadfd2307299bfa8f5aa0dcaec5b2954caeb5fa094171103"},
+    {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0b6616375d7de55797d7a66ee7d087efe27f03d336c27cf1f32c02b8c1a5ac70"},
+    {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:317267d915490d1e84577924bd61ba71bf8681a30e0d6c545f577363157e5e94"},
+    {file = "contourpy-1.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d551f3a442655f3dcc1285723f9acd646ca5858834efeab4598d706206b09c9f"},
+    {file = "contourpy-1.1.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:e7a117ce7df5a938fe035cad481b0189049e8d92433b4b33aa7fc609344aafa1"},
+    {file = "contourpy-1.1.0-cp38-cp38-win32.whl", hash = "sha256:108dfb5b3e731046a96c60bdc46a1a0ebee0760418951abecbe0fc07b5b93b27"},
+    {file = "contourpy-1.1.0-cp38-cp38-win_amd64.whl", hash = "sha256:d4f26b25b4f86087e7d75e63212756c38546e70f2a92d2be44f80114826e1cd4"},
+    {file = "contourpy-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bc00bb4225d57bff7ebb634646c0ee2a1298402ec10a5fe7af79df9a51c1bfd9"},
+    {file = "contourpy-1.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:189ceb1525eb0655ab8487a9a9c41f42a73ba52d6789754788d1883fb06b2d8a"},
+    {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f2931ed4741f98f74b410b16e5213f71dcccee67518970c42f64153ea9313b9"},
+    {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:30f511c05fab7f12e0b1b7730ebdc2ec8deedcfb505bc27eb570ff47c51a8f15"},
+    {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:143dde50520a9f90e4a2703f367cf8ec96a73042b72e68fcd184e1279962eb6f"},
+    {file = "contourpy-1.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e94bef2580e25b5fdb183bf98a2faa2adc5b638736b2c0a4da98691da641316a"},
+    {file = "contourpy-1.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ed614aea8462735e7d70141374bd7650afd1c3f3cb0c2dbbcbe44e14331bf002"},
+    {file = "contourpy-1.1.0-cp39-cp39-win32.whl", hash = "sha256:71551f9520f008b2950bef5f16b0e3587506ef4f23c734b71ffb7b89f8721999"},
+    {file = "contourpy-1.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:438ba416d02f82b692e371858143970ed2eb6337d9cdbbede0d8ad9f3d7dd17d"},
+    {file = "contourpy-1.1.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a698c6a7a432789e587168573a864a7ea374c6be8d4f31f9d87c001d5a843493"},
+    {file = "contourpy-1.1.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:397b0ac8a12880412da3551a8cb5a187d3298a72802b45a3bd1805e204ad8439"},
+    {file = "contourpy-1.1.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:a67259c2b493b00e5a4d0f7bfae51fb4b3371395e47d079a4446e9b0f4d70e76"},
+    {file = "contourpy-1.1.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:2b836d22bd2c7bb2700348e4521b25e077255ebb6ab68e351ab5aa91ca27e027"},
+    {file = "contourpy-1.1.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:084eaa568400cfaf7179b847ac871582199b1b44d5699198e9602ecbbb5f6104"},
+    {file = "contourpy-1.1.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:911ff4fd53e26b019f898f32db0d4956c9d227d51338fb3b03ec72ff0084ee5f"},
+    {file = "contourpy-1.1.0.tar.gz", hash = "sha256:e53046c3863828d21d531cc3b53786e6580eb1ba02477e8681009b6aa0870b21"},
 ]
 
 [package.dependencies]
 numpy = ">=1.16"
 
 [package.extras]
-bokeh = ["bokeh", "chromedriver", "selenium"]
+bokeh = ["bokeh", "selenium"]
 docs = ["furo", "sphinx-copybutton"]
-mypy = ["contourpy[bokeh]", "docutils-stubs", "mypy (==0.991)", "types-Pillow"]
-test = ["Pillow", "matplotlib", "pytest"]
-test-no-images = ["pytest"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.2.0)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
+
+[[package]]
+name = "contourpy"
+version = "1.1.1"
+description = "Python library for calculating contours of 2D quadrilateral grids"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "contourpy-1.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:46e24f5412c948d81736509377e255f6040e94216bf1a9b5ea1eaa9d29f6ec1b"},
+    {file = "contourpy-1.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e48694d6a9c5a26ee85b10130c77a011a4fedf50a7279fa0bdaf44bafb4299d"},
+    {file = "contourpy-1.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a66045af6cf00e19d02191ab578a50cb93b2028c3eefed999793698e9ea768ae"},
+    {file = "contourpy-1.1.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4ebf42695f75ee1a952f98ce9775c873e4971732a87334b099dde90b6af6a916"},
+    {file = "contourpy-1.1.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f6aec19457617ef468ff091669cca01fa7ea557b12b59a7908b9474bb9674cf0"},
+    {file = "contourpy-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:462c59914dc6d81e0b11f37e560b8a7c2dbab6aca4f38be31519d442d6cde1a1"},
+    {file = "contourpy-1.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:6d0a8efc258659edc5299f9ef32d8d81de8b53b45d67bf4bfa3067f31366764d"},
+    {file = "contourpy-1.1.1-cp310-cp310-win32.whl", hash = "sha256:d6ab42f223e58b7dac1bb0af32194a7b9311065583cc75ff59dcf301afd8a431"},
+    {file = "contourpy-1.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:549174b0713d49871c6dee90a4b499d3f12f5e5f69641cd23c50a4542e2ca1eb"},
+    {file = "contourpy-1.1.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:407d864db716a067cc696d61fa1ef6637fedf03606e8417fe2aeed20a061e6b2"},
+    {file = "contourpy-1.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dfe80c017973e6a4c367e037cb31601044dd55e6bfacd57370674867d15a899b"},
+    {file = "contourpy-1.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e30aaf2b8a2bac57eb7e1650df1b3a4130e8d0c66fc2f861039d507a11760e1b"},
+    {file = "contourpy-1.1.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3de23ca4f381c3770dee6d10ead6fff524d540c0f662e763ad1530bde5112532"},
+    {file = "contourpy-1.1.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:566f0e41df06dfef2431defcfaa155f0acfa1ca4acbf8fd80895b1e7e2ada40e"},
+    {file = "contourpy-1.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b04c2f0adaf255bf756cf08ebef1be132d3c7a06fe6f9877d55640c5e60c72c5"},
+    {file = "contourpy-1.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d0c188ae66b772d9d61d43c6030500344c13e3f73a00d1dc241da896f379bb62"},
+    {file = "contourpy-1.1.1-cp311-cp311-win32.whl", hash = "sha256:0683e1ae20dc038075d92e0e0148f09ffcefab120e57f6b4c9c0f477ec171f33"},
+    {file = "contourpy-1.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:8636cd2fc5da0fb102a2504fa2c4bea3cbc149533b345d72cdf0e7a924decc45"},
+    {file = "contourpy-1.1.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:560f1d68a33e89c62da5da4077ba98137a5e4d3a271b29f2f195d0fba2adcb6a"},
+    {file = "contourpy-1.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:24216552104ae8f3b34120ef84825400b16eb6133af2e27a190fdc13529f023e"},
+    {file = "contourpy-1.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56de98a2fb23025882a18b60c7f0ea2d2d70bbbcfcf878f9067234b1c4818442"},
+    {file = "contourpy-1.1.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:07d6f11dfaf80a84c97f1a5ba50d129d9303c5b4206f776e94037332e298dda8"},
+    {file = "contourpy-1.1.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f1eaac5257a8f8a047248d60e8f9315c6cff58f7803971170d952555ef6344a7"},
+    {file = "contourpy-1.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19557fa407e70f20bfaba7d55b4d97b14f9480856c4fb65812e8a05fe1c6f9bf"},
+    {file = "contourpy-1.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:081f3c0880712e40effc5f4c3b08feca6d064cb8cfbb372ca548105b86fd6c3d"},
+    {file = "contourpy-1.1.1-cp312-cp312-win32.whl", hash = "sha256:059c3d2a94b930f4dafe8105bcdc1b21de99b30b51b5bce74c753686de858cb6"},
+    {file = "contourpy-1.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:f44d78b61740e4e8c71db1cf1fd56d9050a4747681c59ec1094750a658ceb970"},
+    {file = "contourpy-1.1.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:70e5a10f8093d228bb2b552beeb318b8928b8a94763ef03b858ef3612b29395d"},
+    {file = "contourpy-1.1.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8394e652925a18ef0091115e3cc191fef350ab6dc3cc417f06da66bf98071ae9"},
+    {file = "contourpy-1.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5bd5680f844c3ff0008523a71949a3ff5e4953eb7701b28760805bc9bcff217"},
+    {file = "contourpy-1.1.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:66544f853bfa85c0d07a68f6c648b2ec81dafd30f272565c37ab47a33b220684"},
+    {file = "contourpy-1.1.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0c02b75acfea5cab07585d25069207e478d12309557f90a61b5a3b4f77f46ce"},
+    {file = "contourpy-1.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:41339b24471c58dc1499e56783fedc1afa4bb018bcd035cfb0ee2ad2a7501ef8"},
+    {file = "contourpy-1.1.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:f29fb0b3f1217dfe9362ec55440d0743fe868497359f2cf93293f4b2701b8251"},
+    {file = "contourpy-1.1.1-cp38-cp38-win32.whl", hash = "sha256:f9dc7f933975367251c1b34da882c4f0e0b2e24bb35dc906d2f598a40b72bfc7"},
+    {file = "contourpy-1.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:498e53573e8b94b1caeb9e62d7c2d053c263ebb6aa259c81050766beb50ff8d9"},
+    {file = "contourpy-1.1.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ba42e3810999a0ddd0439e6e5dbf6d034055cdc72b7c5c839f37a7c274cb4eba"},
+    {file = "contourpy-1.1.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:6c06e4c6e234fcc65435223c7b2a90f286b7f1b2733058bdf1345d218cc59e34"},
+    {file = "contourpy-1.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ca6fab080484e419528e98624fb5c4282148b847e3602dc8dbe0cb0669469887"},
+    {file = "contourpy-1.1.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:93df44ab351119d14cd1e6b52a5063d3336f0754b72736cc63db59307dabb718"},
+    {file = "contourpy-1.1.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:eafbef886566dc1047d7b3d4b14db0d5b7deb99638d8e1be4e23a7c7ac59ff0f"},
+    {file = "contourpy-1.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efe0fab26d598e1ec07d72cf03eaeeba8e42b4ecf6b9ccb5a356fde60ff08b85"},
+    {file = "contourpy-1.1.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:f08e469821a5e4751c97fcd34bcb586bc243c39c2e39321822060ba902eac49e"},
+    {file = "contourpy-1.1.1-cp39-cp39-win32.whl", hash = "sha256:bfc8a5e9238232a45ebc5cb3bfee71f1167064c8d382cadd6076f0d51cff1da0"},
+    {file = "contourpy-1.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:c84fdf3da00c2827d634de4fcf17e3e067490c4aea82833625c4c8e6cdea0887"},
+    {file = "contourpy-1.1.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:229a25f68046c5cf8067d6d6351c8b99e40da11b04d8416bf8d2b1d75922521e"},
+    {file = "contourpy-1.1.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a10dab5ea1bd4401c9483450b5b0ba5416be799bbd50fc7a6cc5e2a15e03e8a3"},
+    {file = "contourpy-1.1.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:4f9147051cb8fdb29a51dc2482d792b3b23e50f8f57e3720ca2e3d438b7adf23"},
+    {file = "contourpy-1.1.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:a75cc163a5f4531a256f2c523bd80db509a49fc23721b36dd1ef2f60ff41c3cb"},
+    {file = "contourpy-1.1.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b53d5769aa1f2d4ea407c65f2d1d08002952fac1d9e9d307aa2e1023554a163"},
+    {file = "contourpy-1.1.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:11b836b7dbfb74e049c302bbf74b4b8f6cb9d0b6ca1bf86cfa8ba144aedadd9c"},
+    {file = "contourpy-1.1.1.tar.gz", hash = "sha256:96ba37c2e24b7212a77da85004c38e7c4d155d3e72a45eeaf22c1f03f607e8ab"},
+]
+
+[package.dependencies]
+numpy = {version = ">=1.16,<2.0", markers = "python_version <= \"3.11\""}
+
+[package.extras]
+bokeh = ["bokeh", "selenium"]
+docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"]
+mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.4.1)", "types-Pillow"]
+test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
+test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
 
 [[package]]
 name = "coverage"
-version = "7.2.7"
+version = "7.3.1"
 description = "Code coverage measurement for Python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "coverage-7.2.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d39b5b4f2a66ccae8b7263ac3c8170994b65266797fb96cbbfd3fb5b23921db8"},
-    {file = "coverage-7.2.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6d040ef7c9859bb11dfeb056ff5b3872436e3b5e401817d87a31e1750b9ae2fb"},
-    {file = "coverage-7.2.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba90a9563ba44a72fda2e85302c3abc71c5589cea608ca16c22b9804262aaeb6"},
-    {file = "coverage-7.2.7-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e7d9405291c6928619403db1d10bd07888888ec1abcbd9748fdaa971d7d661b2"},
-    {file = "coverage-7.2.7-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:31563e97dae5598556600466ad9beea39fb04e0229e61c12eaa206e0aa202063"},
-    {file = "coverage-7.2.7-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:ebba1cd308ef115925421d3e6a586e655ca5a77b5bf41e02eb0e4562a111f2d1"},
-    {file = "coverage-7.2.7-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:cb017fd1b2603ef59e374ba2063f593abe0fc45f2ad9abdde5b4d83bd922a353"},
-    {file = "coverage-7.2.7-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:d62a5c7dad11015c66fbb9d881bc4caa5b12f16292f857842d9d1871595f4495"},
-    {file = "coverage-7.2.7-cp310-cp310-win32.whl", hash = "sha256:ee57190f24fba796e36bb6d3aa8a8783c643d8fa9760c89f7a98ab5455fbf818"},
-    {file = "coverage-7.2.7-cp310-cp310-win_amd64.whl", hash = "sha256:f75f7168ab25dd93110c8a8117a22450c19976afbc44234cbf71481094c1b850"},
-    {file = "coverage-7.2.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:06a9a2be0b5b576c3f18f1a241f0473575c4a26021b52b2a85263a00f034d51f"},
-    {file = "coverage-7.2.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5baa06420f837184130752b7c5ea0808762083bf3487b5038d68b012e5937dbe"},
-    {file = "coverage-7.2.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fdec9e8cbf13a5bf63290fc6013d216a4c7232efb51548594ca3631a7f13c3a3"},
-    {file = "coverage-7.2.7-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:52edc1a60c0d34afa421c9c37078817b2e67a392cab17d97283b64c5833f427f"},
-    {file = "coverage-7.2.7-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63426706118b7f5cf6bb6c895dc215d8a418d5952544042c8a2d9fe87fcf09cb"},
-    {file = "coverage-7.2.7-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:afb17f84d56068a7c29f5fa37bfd38d5aba69e3304af08ee94da8ed5b0865833"},
-    {file = "coverage-7.2.7-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:48c19d2159d433ccc99e729ceae7d5293fbffa0bdb94952d3579983d1c8c9d97"},
-    {file = "coverage-7.2.7-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:0e1f928eaf5469c11e886fe0885ad2bf1ec606434e79842a879277895a50942a"},
-    {file = "coverage-7.2.7-cp311-cp311-win32.whl", hash = "sha256:33d6d3ea29d5b3a1a632b3c4e4f4ecae24ef170b0b9ee493883f2df10039959a"},
-    {file = "coverage-7.2.7-cp311-cp311-win_amd64.whl", hash = "sha256:5b7540161790b2f28143191f5f8ec02fb132660ff175b7747b95dcb77ac26562"},
-    {file = "coverage-7.2.7-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f2f67fe12b22cd130d34d0ef79206061bfb5eda52feb6ce0dba0644e20a03cf4"},
-    {file = "coverage-7.2.7-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a342242fe22407f3c17f4b499276a02b01e80f861f1682ad1d95b04018e0c0d4"},
-    {file = "coverage-7.2.7-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:171717c7cb6b453aebac9a2ef603699da237f341b38eebfee9be75d27dc38e01"},
-    {file = "coverage-7.2.7-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49969a9f7ffa086d973d91cec8d2e31080436ef0fb4a359cae927e742abfaaa6"},
-    {file = "coverage-7.2.7-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:b46517c02ccd08092f4fa99f24c3b83d8f92f739b4657b0f146246a0ca6a831d"},
-    {file = "coverage-7.2.7-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:a3d33a6b3eae87ceaefa91ffdc130b5e8536182cd6dfdbfc1aa56b46ff8c86de"},
-    {file = "coverage-7.2.7-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:976b9c42fb2a43ebf304fa7d4a310e5f16cc99992f33eced91ef6f908bd8f33d"},
-    {file = "coverage-7.2.7-cp312-cp312-win32.whl", hash = "sha256:8de8bb0e5ad103888d65abef8bca41ab93721647590a3f740100cd65c3b00511"},
-    {file = "coverage-7.2.7-cp312-cp312-win_amd64.whl", hash = "sha256:9e31cb64d7de6b6f09702bb27c02d1904b3aebfca610c12772452c4e6c21a0d3"},
-    {file = "coverage-7.2.7-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:58c2ccc2f00ecb51253cbe5d8d7122a34590fac9646a960d1430d5b15321d95f"},
-    {file = "coverage-7.2.7-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d22656368f0e6189e24722214ed8d66b8022db19d182927b9a248a2a8a2f67eb"},
-    {file = "coverage-7.2.7-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:a895fcc7b15c3fc72beb43cdcbdf0ddb7d2ebc959edac9cef390b0d14f39f8a9"},
-    {file = "coverage-7.2.7-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e84606b74eb7de6ff581a7915e2dab7a28a0517fbe1c9239eb227e1354064dcd"},
-    {file = "coverage-7.2.7-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:0a5f9e1dbd7fbe30196578ca36f3fba75376fb99888c395c5880b355e2875f8a"},
-    {file = "coverage-7.2.7-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:419bfd2caae268623dd469eff96d510a920c90928b60f2073d79f8fe2bbc5959"},
-    {file = "coverage-7.2.7-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:2aee274c46590717f38ae5e4650988d1af340fe06167546cc32fe2f58ed05b02"},
-    {file = "coverage-7.2.7-cp37-cp37m-win32.whl", hash = "sha256:61b9a528fb348373c433e8966535074b802c7a5d7f23c4f421e6c6e2f1697a6f"},
-    {file = "coverage-7.2.7-cp37-cp37m-win_amd64.whl", hash = "sha256:b1c546aca0ca4d028901d825015dc8e4d56aac4b541877690eb76490f1dc8ed0"},
-    {file = "coverage-7.2.7-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:54b896376ab563bd38453cecb813c295cf347cf5906e8b41d340b0321a5433e5"},
-    {file = "coverage-7.2.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:3d376df58cc111dc8e21e3b6e24606b5bb5dee6024f46a5abca99124b2229ef5"},
-    {file = "coverage-7.2.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5e330fc79bd7207e46c7d7fd2bb4af2963f5f635703925543a70b99574b0fea9"},
-    {file = "coverage-7.2.7-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1e9d683426464e4a252bf70c3498756055016f99ddaec3774bf368e76bbe02b6"},
-    {file = "coverage-7.2.7-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d13c64ee2d33eccf7437961b6ea7ad8673e2be040b4f7fd4fd4d4d28d9ccb1e"},
-    {file = "coverage-7.2.7-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b7aa5f8a41217360e600da646004f878250a0d6738bcdc11a0a39928d7dc2050"},
-    {file = "coverage-7.2.7-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:8fa03bce9bfbeeef9f3b160a8bed39a221d82308b4152b27d82d8daa7041fee5"},
-    {file = "coverage-7.2.7-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:245167dd26180ab4c91d5e1496a30be4cd721a5cf2abf52974f965f10f11419f"},
-    {file = "coverage-7.2.7-cp38-cp38-win32.whl", hash = "sha256:d2c2db7fd82e9b72937969bceac4d6ca89660db0a0967614ce2481e81a0b771e"},
-    {file = "coverage-7.2.7-cp38-cp38-win_amd64.whl", hash = "sha256:2e07b54284e381531c87f785f613b833569c14ecacdcb85d56b25c4622c16c3c"},
-    {file = "coverage-7.2.7-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:537891ae8ce59ef63d0123f7ac9e2ae0fc8b72c7ccbe5296fec45fd68967b6c9"},
-    {file = "coverage-7.2.7-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:06fb182e69f33f6cd1d39a6c597294cff3143554b64b9825d1dc69d18cc2fff2"},
-    {file = "coverage-7.2.7-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:201e7389591af40950a6480bd9edfa8ed04346ff80002cec1a66cac4549c1ad7"},
-    {file = "coverage-7.2.7-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f6951407391b639504e3b3be51b7ba5f3528adbf1a8ac3302b687ecababf929e"},
-    {file = "coverage-7.2.7-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f48351d66575f535669306aa7d6d6f71bc43372473b54a832222803eb956fd1"},
-    {file = "coverage-7.2.7-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b29019c76039dc3c0fd815c41392a044ce555d9bcdd38b0fb60fb4cd8e475ba9"},
-    {file = "coverage-7.2.7-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:81c13a1fc7468c40f13420732805a4c38a105d89848b7c10af65a90beff25250"},
-    {file = "coverage-7.2.7-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:975d70ab7e3c80a3fe86001d8751f6778905ec723f5b110aed1e450da9d4b7f2"},
-    {file = "coverage-7.2.7-cp39-cp39-win32.whl", hash = "sha256:7ee7d9d4822c8acc74a5e26c50604dff824710bc8de424904c0982e25c39c6cb"},
-    {file = "coverage-7.2.7-cp39-cp39-win_amd64.whl", hash = "sha256:eb393e5ebc85245347950143969b241d08b52b88a3dc39479822e073a1a8eb27"},
-    {file = "coverage-7.2.7-pp37.pp38.pp39-none-any.whl", hash = "sha256:b7b4c971f05e6ae490fef852c218b0e79d4e52f79ef0c8475566584a8fb3e01d"},
-    {file = "coverage-7.2.7.tar.gz", hash = "sha256:924d94291ca674905fe9481f12294eb11f2d3d3fd1adb20314ba89e94f44ed59"},
+    {file = "coverage-7.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cd0f7429ecfd1ff597389907045ff209c8fdb5b013d38cfa7c60728cb484b6e3"},
+    {file = "coverage-7.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:966f10df9b2b2115da87f50f6a248e313c72a668248be1b9060ce935c871f276"},
+    {file = "coverage-7.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0575c37e207bb9b98b6cf72fdaaa18ac909fb3d153083400c2d48e2e6d28bd8e"},
+    {file = "coverage-7.3.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:245c5a99254e83875c7fed8b8b2536f040997a9b76ac4c1da5bff398c06e860f"},
+    {file = "coverage-7.3.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c96dd7798d83b960afc6c1feb9e5af537fc4908852ef025600374ff1a017392"},
+    {file = "coverage-7.3.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:de30c1aa80f30af0f6b2058a91505ea6e36d6535d437520067f525f7df123887"},
+    {file = "coverage-7.3.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:50dd1e2dd13dbbd856ffef69196781edff26c800a74f070d3b3e3389cab2600d"},
+    {file = "coverage-7.3.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b9c0c19f70d30219113b18fe07e372b244fb2a773d4afde29d5a2f7930765136"},
+    {file = "coverage-7.3.1-cp310-cp310-win32.whl", hash = "sha256:770f143980cc16eb601ccfd571846e89a5fe4c03b4193f2e485268f224ab602f"},
+    {file = "coverage-7.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:cdd088c00c39a27cfa5329349cc763a48761fdc785879220d54eb785c8a38520"},
+    {file = "coverage-7.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:74bb470399dc1989b535cb41f5ca7ab2af561e40def22d7e188e0a445e7639e3"},
+    {file = "coverage-7.3.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:025ded371f1ca280c035d91b43252adbb04d2aea4c7105252d3cbc227f03b375"},
+    {file = "coverage-7.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a6191b3a6ad3e09b6cfd75b45c6aeeffe7e3b0ad46b268345d159b8df8d835f9"},
+    {file = "coverage-7.3.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7eb0b188f30e41ddd659a529e385470aa6782f3b412f860ce22b2491c89b8593"},
+    {file = "coverage-7.3.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75c8f0df9dfd8ff745bccff75867d63ef336e57cc22b2908ee725cc552689ec8"},
+    {file = "coverage-7.3.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:7eb3cd48d54b9bd0e73026dedce44773214064be93611deab0b6a43158c3d5a0"},
+    {file = "coverage-7.3.1-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:ac3c5b7e75acac31e490b7851595212ed951889918d398b7afa12736c85e13ce"},
+    {file = "coverage-7.3.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5b4ee7080878077af0afa7238df1b967f00dc10763f6e1b66f5cced4abebb0a3"},
+    {file = "coverage-7.3.1-cp311-cp311-win32.whl", hash = "sha256:229c0dd2ccf956bf5aeede7e3131ca48b65beacde2029f0361b54bf93d36f45a"},
+    {file = "coverage-7.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:c6f55d38818ca9596dc9019eae19a47410d5322408140d9a0076001a3dcb938c"},
+    {file = "coverage-7.3.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:5289490dd1c3bb86de4730a92261ae66ea8d44b79ed3cc26464f4c2cde581fbc"},
+    {file = "coverage-7.3.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ca833941ec701fda15414be400c3259479bfde7ae6d806b69e63b3dc423b1832"},
+    {file = "coverage-7.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd694e19c031733e446c8024dedd12a00cda87e1c10bd7b8539a87963685e969"},
+    {file = "coverage-7.3.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aab8e9464c00da5cb9c536150b7fbcd8850d376d1151741dd0d16dfe1ba4fd26"},
+    {file = "coverage-7.3.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87d38444efffd5b056fcc026c1e8d862191881143c3aa80bb11fcf9dca9ae204"},
+    {file = "coverage-7.3.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:8a07b692129b8a14ad7a37941a3029c291254feb7a4237f245cfae2de78de037"},
+    {file = "coverage-7.3.1-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:2829c65c8faaf55b868ed7af3c7477b76b1c6ebeee99a28f59a2cb5907a45760"},
+    {file = "coverage-7.3.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1f111a7d85658ea52ffad7084088277135ec5f368457275fc57f11cebb15607f"},
+    {file = "coverage-7.3.1-cp312-cp312-win32.whl", hash = "sha256:c397c70cd20f6df7d2a52283857af622d5f23300c4ca8e5bd8c7a543825baa5a"},
+    {file = "coverage-7.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:5ae4c6da8b3d123500f9525b50bf0168023313963e0e2e814badf9000dd6ef92"},
+    {file = "coverage-7.3.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ca70466ca3a17460e8fc9cea7123c8cbef5ada4be3140a1ef8f7b63f2f37108f"},
+    {file = "coverage-7.3.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f2781fd3cabc28278dc982a352f50c81c09a1a500cc2086dc4249853ea96b981"},
+    {file = "coverage-7.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6407424621f40205bbe6325686417e5e552f6b2dba3535dd1f90afc88a61d465"},
+    {file = "coverage-7.3.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:04312b036580ec505f2b77cbbdfb15137d5efdfade09156961f5277149f5e344"},
+    {file = "coverage-7.3.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ac9ad38204887349853d7c313f53a7b1c210ce138c73859e925bc4e5d8fc18e7"},
+    {file = "coverage-7.3.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:53669b79f3d599da95a0afbef039ac0fadbb236532feb042c534fbb81b1a4e40"},
+    {file = "coverage-7.3.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:614f1f98b84eb256e4f35e726bfe5ca82349f8dfa576faabf8a49ca09e630086"},
+    {file = "coverage-7.3.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:f1a317fdf5c122ad642db8a97964733ab7c3cf6009e1a8ae8821089993f175ff"},
+    {file = "coverage-7.3.1-cp38-cp38-win32.whl", hash = "sha256:defbbb51121189722420a208957e26e49809feafca6afeef325df66c39c4fdb3"},
+    {file = "coverage-7.3.1-cp38-cp38-win_amd64.whl", hash = "sha256:f4f456590eefb6e1b3c9ea6328c1e9fa0f1006e7481179d749b3376fc793478e"},
+    {file = "coverage-7.3.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f12d8b11a54f32688b165fd1a788c408f927b0960984b899be7e4c190ae758f1"},
+    {file = "coverage-7.3.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:f09195dda68d94a53123883de75bb97b0e35f5f6f9f3aa5bf6e496da718f0cb6"},
+    {file = "coverage-7.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6601a60318f9c3945be6ea0f2a80571f4299b6801716f8a6e4846892737ebe4"},
+    {file = "coverage-7.3.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07d156269718670d00a3b06db2288b48527fc5f36859425ff7cec07c6b367745"},
+    {file = "coverage-7.3.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:636a8ac0b044cfeccae76a36f3b18264edcc810a76a49884b96dd744613ec0b7"},
+    {file = "coverage-7.3.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5d991e13ad2ed3aced177f524e4d670f304c8233edad3210e02c465351f785a0"},
+    {file = "coverage-7.3.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:586649ada7cf139445da386ab6f8ef00e6172f11a939fc3b2b7e7c9082052fa0"},
+    {file = "coverage-7.3.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:4aba512a15a3e1e4fdbfed2f5392ec221434a614cc68100ca99dcad7af29f3f8"},
+    {file = "coverage-7.3.1-cp39-cp39-win32.whl", hash = "sha256:6bc6f3f4692d806831c136c5acad5ccedd0262aa44c087c46b7101c77e139140"},
+    {file = "coverage-7.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:553d7094cb27db58ea91332e8b5681bac107e7242c23f7629ab1316ee73c4981"},
+    {file = "coverage-7.3.1-pp38.pp39.pp310-none-any.whl", hash = "sha256:220eb51f5fb38dfdb7e5d54284ca4d0cd70ddac047d750111a68ab1798945194"},
+    {file = "coverage-7.3.1.tar.gz", hash = "sha256:6cb7fe1581deb67b782c153136541e20901aa312ceedaf1467dcb35255787952"},
 ]
 
 [package.extras]
@@ -185,13 +236,45 @@ files = [
 
 [[package]]
 name = "fonttools"
-version = "4.39.4"
+version = "4.42.1"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fonttools-4.39.4-py3-none-any.whl", hash = "sha256:106caf6167c4597556b31a8d9175a3fdc0356fdcd70ab19973c3b0d4c893c461"},
-    {file = "fonttools-4.39.4.zip", hash = "sha256:dba8d7cdb8e2bac1b3da28c5ed5960de09e59a2fe7e63bb73f5a59e57b0430d2"},
+    {file = "fonttools-4.42.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ed1a13a27f59d1fc1920394a7f596792e9d546c9ca5a044419dca70c37815d7c"},
+    {file = "fonttools-4.42.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c9b1ce7a45978b821a06d375b83763b27a3a5e8a2e4570b3065abad240a18760"},
+    {file = "fonttools-4.42.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f720fa82a11c0f9042376fd509b5ed88dab7e3cd602eee63a1af08883b37342b"},
+    {file = "fonttools-4.42.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db55cbaea02a20b49fefbd8e9d62bd481aaabe1f2301dabc575acc6b358874fa"},
+    {file = "fonttools-4.42.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3a35981d90feebeaef05e46e33e6b9e5b5e618504672ca9cd0ff96b171e4bfff"},
+    {file = "fonttools-4.42.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:68a02bbe020dc22ee0540e040117535f06df9358106d3775e8817d826047f3fd"},
+    {file = "fonttools-4.42.1-cp310-cp310-win32.whl", hash = "sha256:12a7c247d1b946829bfa2f331107a629ea77dc5391dfd34fdcd78efa61f354ca"},
+    {file = "fonttools-4.42.1-cp310-cp310-win_amd64.whl", hash = "sha256:a398bdadb055f8de69f62b0fc70625f7cbdab436bbb31eef5816e28cab083ee8"},
+    {file = "fonttools-4.42.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:689508b918332fb40ce117131633647731d098b1b10d092234aa959b4251add5"},
+    {file = "fonttools-4.42.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9e36344e48af3e3bde867a1ca54f97c308735dd8697005c2d24a86054a114a71"},
+    {file = "fonttools-4.42.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:19b7db825c8adee96fac0692e6e1ecd858cae9affb3b4812cdb9d934a898b29e"},
+    {file = "fonttools-4.42.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:113337c2d29665839b7d90b39f99b3cac731f72a0eda9306165a305c7c31d341"},
+    {file = "fonttools-4.42.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:37983b6bdab42c501202500a2be3a572f50d4efe3237e0686ee9d5f794d76b35"},
+    {file = "fonttools-4.42.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6ed2662a3d9c832afa36405f8748c250be94ae5dfc5283d668308391f2102861"},
+    {file = "fonttools-4.42.1-cp311-cp311-win32.whl", hash = "sha256:179737095eb98332a2744e8f12037b2977f22948cf23ff96656928923ddf560a"},
+    {file = "fonttools-4.42.1-cp311-cp311-win_amd64.whl", hash = "sha256:f2b82f46917d8722e6b5eafeefb4fb585d23babd15d8246c664cd88a5bddd19c"},
+    {file = "fonttools-4.42.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:62f481ac772fd68901573956231aea3e4b1ad87b9b1089a61613a91e2b50bb9b"},
+    {file = "fonttools-4.42.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f2f806990160d1ce42d287aa419df3ffc42dfefe60d473695fb048355fe0c6a0"},
+    {file = "fonttools-4.42.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db372213d39fa33af667c2aa586a0c1235e88e9c850f5dd5c8e1f17515861868"},
+    {file = "fonttools-4.42.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d18fc642fd0ac29236ff88ecfccff229ec0386090a839dd3f1162e9a7944a40"},
+    {file = "fonttools-4.42.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8708b98c278012ad267ee8a7433baeb809948855e81922878118464b274c909d"},
+    {file = "fonttools-4.42.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:c95b0724a6deea2c8c5d3222191783ced0a2f09bd6d33f93e563f6f1a4b3b3a4"},
+    {file = "fonttools-4.42.1-cp38-cp38-win32.whl", hash = "sha256:4aa79366e442dbca6e2c8595645a3a605d9eeabdb7a094d745ed6106816bef5d"},
+    {file = "fonttools-4.42.1-cp38-cp38-win_amd64.whl", hash = "sha256:acb47f6f8680de24c1ab65ebde39dd035768e2a9b571a07c7b8da95f6c8815fd"},
+    {file = "fonttools-4.42.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:5fb289b7a815638a7613d46bcf324c9106804725b2bb8ad913c12b6958ffc4ec"},
+    {file = "fonttools-4.42.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:53eb5091ddc8b1199330bb7b4a8a2e7995ad5d43376cadce84523d8223ef3136"},
+    {file = "fonttools-4.42.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:46a0ec8adbc6ff13494eb0c9c2e643b6f009ce7320cf640de106fb614e4d4360"},
+    {file = "fonttools-4.42.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7cc7d685b8eeca7ae69dc6416833fbfea61660684b7089bca666067cb2937dcf"},
+    {file = "fonttools-4.42.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:be24fcb80493b2c94eae21df70017351851652a37de514de553435b256b2f249"},
+    {file = "fonttools-4.42.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:515607ec756d7865f23070682622c49d922901943697871fc292277cf1e71967"},
+    {file = "fonttools-4.42.1-cp39-cp39-win32.whl", hash = "sha256:0eb79a2da5eb6457a6f8ab904838454accc7d4cccdaff1fd2bd3a0679ea33d64"},
+    {file = "fonttools-4.42.1-cp39-cp39-win_amd64.whl", hash = "sha256:7286aed4ea271df9eab8d7a9b29e507094b51397812f7ce051ecd77915a6e26b"},
+    {file = "fonttools-4.42.1-py3-none-any.whl", hash = "sha256:9398f244e28e0596e2ee6024f808b06060109e33ed38dcc9bded452fd9bbb853"},
+    {file = "fonttools-4.42.1.tar.gz", hash = "sha256:c391cd5af88aacaf41dd7cfb96eeedfad297b5899a39e12f4c2c3706d0a3329d"},
 ]
 
 [package.extras]
@@ -238,90 +321,126 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.2.0"
+version = "1.3.2"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "joblib-1.2.0-py3-none-any.whl", hash = "sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385"},
-    {file = "joblib-1.2.0.tar.gz", hash = "sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018"},
+    {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
+    {file = "joblib-1.3.2.tar.gz", hash = "sha256:92f865e621e17784e7955080b6d042489e3b8e294949cc44c6eac304f59772b1"},
 ]
 
 [[package]]
 name = "kiwisolver"
-version = "1.4.4"
+version = "1.4.5"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2f5e60fabb7343a836360c4f0919b8cd0d6dbf08ad2ca6b9cf90bf0c76a3c4f6"},
-    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:10ee06759482c78bdb864f4109886dff7b8a56529bc1609d4f1112b93fe6423c"},
-    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c79ebe8f3676a4c6630fd3f777f3cfecf9289666c84e775a67d1d358578dc2e3"},
-    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:abbe9fa13da955feb8202e215c4018f4bb57469b1b78c7a4c5c7b93001699938"},
-    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7577c1987baa3adc4b3c62c33bd1118c3ef5c8ddef36f0f2c950ae0b199e100d"},
-    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8ad8285b01b0d4695102546b342b493b3ccc6781fc28c8c6a1bb63e95d22f09"},
-    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ed58b8acf29798b036d347791141767ccf65eee7f26bde03a71c944449e53de"},
-    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a68b62a02953b9841730db7797422f983935aeefceb1679f0fc85cbfbd311c32"},
-    {file = "kiwisolver-1.4.4-cp310-cp310-win32.whl", hash = "sha256:e92a513161077b53447160b9bd8f522edfbed4bd9759e4c18ab05d7ef7e49408"},
-    {file = "kiwisolver-1.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:3fe20f63c9ecee44560d0e7f116b3a747a5d7203376abeea292ab3152334d004"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e0ea21f66820452a3f5d1655f8704a60d66ba1191359b96541eaf457710a5fc6"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:bc9db8a3efb3e403e4ecc6cd9489ea2bac94244f80c78e27c31dcc00d2790ac2"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d5b61785a9ce44e5a4b880272baa7cf6c8f48a5180c3e81c59553ba0cb0821ca"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c2dbb44c3f7e6c4d3487b31037b1bdbf424d97687c1747ce4ff2895795c9bf69"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6295ecd49304dcf3bfbfa45d9a081c96509e95f4b9d0eb7ee4ec0530c4a96514"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4bd472dbe5e136f96a4b18f295d159d7f26fd399136f5b17b08c4e5f498cd494"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:bf7d9fce9bcc4752ca4a1b80aabd38f6d19009ea5cbda0e0856983cf6d0023f5"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:78d6601aed50c74e0ef02f4204da1816147a6d3fbdc8b3872d263338a9052c51"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:877272cf6b4b7e94c9614f9b10140e198d2186363728ed0f701c6eee1baec1da"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:db608a6757adabb32f1cfe6066e39b3706d8c3aa69bbc353a5b61edad36a5cb4"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:5853eb494c71e267912275e5586fe281444eb5e722de4e131cddf9d442615626"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:f0a1dbdb5ecbef0d34eb77e56fcb3e95bbd7e50835d9782a45df81cc46949750"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:283dffbf061a4ec60391d51e6155e372a1f7a4f5b15d59c8505339454f8989e4"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-win32.whl", hash = "sha256:d06adcfa62a4431d404c31216f0f8ac97397d799cd53800e9d3efc2fbb3cf14e"},
-    {file = "kiwisolver-1.4.4-cp311-cp311-win_amd64.whl", hash = "sha256:e7da3fec7408813a7cebc9e4ec55afed2d0fd65c4754bc376bf03498d4e92686"},
-    {file = "kiwisolver-1.4.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:62ac9cc684da4cf1778d07a89bf5f81b35834cb96ca523d3a7fb32509380cbf6"},
-    {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:41dae968a94b1ef1897cb322b39360a0812661dba7c682aa45098eb8e193dbdf"},
-    {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:02f79693ec433cb4b5f51694e8477ae83b3205768a6fb48ffba60549080e295b"},
-    {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d0611a0a2a518464c05ddd5a3a1a0e856ccc10e67079bb17f265ad19ab3c7597"},
-    {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:db5283d90da4174865d520e7366801a93777201e91e79bacbac6e6927cbceede"},
-    {file = "kiwisolver-1.4.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:1041feb4cda8708ce73bb4dcb9ce1ccf49d553bf87c3954bdfa46f0c3f77252c"},
-    {file = "kiwisolver-1.4.4-cp37-cp37m-win32.whl", hash = "sha256:a553dadda40fef6bfa1456dc4be49b113aa92c2a9a9e8711e955618cd69622e3"},
-    {file = "kiwisolver-1.4.4-cp37-cp37m-win_amd64.whl", hash = "sha256:03baab2d6b4a54ddbb43bba1a3a2d1627e82d205c5cf8f4c924dc49284b87166"},
-    {file = "kiwisolver-1.4.4-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:841293b17ad704d70c578f1f0013c890e219952169ce8a24ebc063eecf775454"},
-    {file = "kiwisolver-1.4.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f4f270de01dd3e129a72efad823da90cc4d6aafb64c410c9033aba70db9f1ff0"},
-    {file = "kiwisolver-1.4.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f9f39e2f049db33a908319cf46624a569b36983c7c78318e9726a4cb8923b26c"},
-    {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c97528e64cb9ebeff9701e7938653a9951922f2a38bd847787d4a8e498cc83ae"},
-    {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1d1573129aa0fd901076e2bfb4275a35f5b7aa60fbfb984499d661ec950320b0"},
-    {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ad881edc7ccb9d65b0224f4e4d05a1e85cf62d73aab798943df6d48ab0cd79a1"},
-    {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b428ef021242344340460fa4c9185d0b1f66fbdbfecc6c63eff4b7c29fad429d"},
-    {file = "kiwisolver-1.4.4-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:2e407cb4bd5a13984a6c2c0fe1845e4e41e96f183e5e5cd4d77a857d9693494c"},
-    {file = "kiwisolver-1.4.4-cp38-cp38-win32.whl", hash = "sha256:75facbe9606748f43428fc91a43edb46c7ff68889b91fa31f53b58894503a191"},
-    {file = "kiwisolver-1.4.4-cp38-cp38-win_amd64.whl", hash = "sha256:5bce61af018b0cb2055e0e72e7d65290d822d3feee430b7b8203d8a855e78766"},
-    {file = "kiwisolver-1.4.4-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8c808594c88a025d4e322d5bb549282c93c8e1ba71b790f539567932722d7bd8"},
-    {file = "kiwisolver-1.4.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f0a71d85ecdd570ded8ac3d1c0f480842f49a40beb423bb8014539a9f32a5897"},
-    {file = "kiwisolver-1.4.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b533558eae785e33e8c148a8d9921692a9fe5aa516efbdff8606e7d87b9d5824"},
-    {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:efda5fc8cc1c61e4f639b8067d118e742b812c930f708e6667a5ce0d13499e29"},
-    {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7c43e1e1206cd421cd92e6b3280d4385d41d7166b3ed577ac20444b6995a445f"},
-    {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bc8d3bd6c72b2dd9decf16ce70e20abcb3274ba01b4e1c96031e0c4067d1e7cd"},
-    {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4ea39b0ccc4f5d803e3337dd46bcce60b702be4d86fd0b3d7531ef10fd99a1ac"},
-    {file = "kiwisolver-1.4.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:968f44fdbf6dd757d12920d63b566eeb4d5b395fd2d00d29d7ef00a00582aac9"},
-    {file = "kiwisolver-1.4.4-cp39-cp39-win32.whl", hash = "sha256:da7e547706e69e45d95e116e6939488d62174e033b763ab1496b4c29b76fabea"},
-    {file = "kiwisolver-1.4.4-cp39-cp39-win_amd64.whl", hash = "sha256:ba59c92039ec0a66103b1d5fe588fa546373587a7d68f5c96f743c3396afc04b"},
-    {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:91672bacaa030f92fc2f43b620d7b337fd9a5af28b0d6ed3f77afc43c4a64b5a"},
-    {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:787518a6789009c159453da4d6b683f468ef7a65bbde796bcea803ccf191058d"},
-    {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da152d8cdcab0e56e4f45eb08b9aea6455845ec83172092f09b0e077ece2cf7a"},
-    {file = "kiwisolver-1.4.4-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:ecb1fa0db7bf4cff9dac752abb19505a233c7f16684c5826d1f11ebd9472b871"},
-    {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:28bc5b299f48150b5f822ce68624e445040595a4ac3d59251703779836eceff9"},
-    {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:81e38381b782cc7e1e46c4e14cd997ee6040768101aefc8fa3c24a4cc58e98f8"},
-    {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:2a66fdfb34e05b705620dd567f5a03f239a088d5a3f321e7b6ac3239d22aa286"},
-    {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:872b8ca05c40d309ed13eb2e582cab0c5a05e81e987ab9c521bf05ad1d5cf5cb"},
-    {file = "kiwisolver-1.4.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:70e7c2e7b750585569564e2e5ca9845acfaa5da56ac46df68414f29fea97be9f"},
-    {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:9f85003f5dfa867e86d53fac6f7e6f30c045673fa27b603c397753bebadc3008"},
-    {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2e307eb9bd99801f82789b44bb45e9f541961831c7311521b13a6c85afc09767"},
-    {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1792d939ec70abe76f5054d3f36ed5656021dcad1322d1cc996d4e54165cef9"},
-    {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6cb459eea32a4e2cf18ba5fcece2dbdf496384413bc1bae15583f19e567f3b2"},
-    {file = "kiwisolver-1.4.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:36dafec3d6d6088d34e2de6b85f9d8e2324eb734162fba59d2ba9ed7a2043d5b"},
-    {file = "kiwisolver-1.4.4.tar.gz", hash = "sha256:d41997519fcba4a1e46eb4a2fe31bc12f0ff957b2b81bac28db24744f333e955"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:05703cf211d585109fcd72207a31bb170a0f22144d68298dc5e61b3c946518af"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:146d14bebb7f1dc4d5fbf74f8a6cb15ac42baadee8912eb84ac0b3b2a3dc6ac3"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6ef7afcd2d281494c0a9101d5c571970708ad911d028137cd558f02b851c08b4"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9eaa8b117dc8337728e834b9c6e2611f10c79e38f65157c4c38e9400286f5cb1"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ec20916e7b4cbfb1f12380e46486ec4bcbaa91a9c448b97023fde0d5bbf9e4ff"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39b42c68602539407884cf70d6a480a469b93b81b7701378ba5e2328660c847a"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:aa12042de0171fad672b6c59df69106d20d5596e4f87b5e8f76df757a7c399aa"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2a40773c71d7ccdd3798f6489aaac9eee213d566850a9533f8d26332d626b82c"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:19df6e621f6d8b4b9c4d45f40a66839294ff2bb235e64d2178f7522d9170ac5b"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:83d78376d0d4fd884e2c114d0621624b73d2aba4e2788182d286309ebdeed770"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:e391b1f0a8a5a10ab3b9bb6afcfd74f2175f24f8975fb87ecae700d1503cdee0"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:852542f9481f4a62dbb5dd99e8ab7aedfeb8fb6342349a181d4036877410f525"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:59edc41b24031bc25108e210c0def6f6c2191210492a972d585a06ff246bb79b"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-win32.whl", hash = "sha256:a6aa6315319a052b4ee378aa171959c898a6183f15c1e541821c5c59beaa0238"},
+    {file = "kiwisolver-1.4.5-cp310-cp310-win_amd64.whl", hash = "sha256:d0ef46024e6a3d79c01ff13801cb19d0cad7fd859b15037aec74315540acc276"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:11863aa14a51fd6ec28688d76f1735f8f69ab1fabf388851a595d0721af042f5"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:8ab3919a9997ab7ef2fbbed0cc99bb28d3c13e6d4b1ad36e97e482558a91be90"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:fcc700eadbbccbf6bc1bcb9dbe0786b4b1cb91ca0dcda336eef5c2beed37b797"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:dfdd7c0b105af050eb3d64997809dc21da247cf44e63dc73ff0fd20b96be55a9"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76c6a5964640638cdeaa0c359382e5703e9293030fe730018ca06bc2010c4437"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bbea0db94288e29afcc4c28afbf3a7ccaf2d7e027489c449cf7e8f83c6346eb9"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ceec1a6bc6cab1d6ff5d06592a91a692f90ec7505d6463a88a52cc0eb58545da"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:040c1aebeda72197ef477a906782b5ab0d387642e93bda547336b8957c61022e"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:f91de7223d4c7b793867797bacd1ee53bfe7359bd70d27b7b58a04efbb9436c8"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:faae4860798c31530dd184046a900e652c95513796ef51a12bc086710c2eec4d"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:b0157420efcb803e71d1b28e2c287518b8808b7cf1ab8af36718fd0a2c453eb0"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:06f54715b7737c2fecdbf140d1afb11a33d59508a47bf11bb38ecf21dc9ab79f"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:fdb7adb641a0d13bdcd4ef48e062363d8a9ad4a182ac7647ec88f695e719ae9f"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-win32.whl", hash = "sha256:bb86433b1cfe686da83ce32a9d3a8dd308e85c76b60896d58f082136f10bffac"},
+    {file = "kiwisolver-1.4.5-cp311-cp311-win_amd64.whl", hash = "sha256:6c08e1312a9cf1074d17b17728d3dfce2a5125b2d791527f33ffbe805200a355"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:32d5cf40c4f7c7b3ca500f8985eb3fb3a7dfc023215e876f207956b5ea26632a"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f846c260f483d1fd217fe5ed7c173fb109efa6b1fc8381c8b7552c5781756192"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5ff5cf3571589b6d13bfbfd6bcd7a3f659e42f96b5fd1c4830c4cf21d4f5ef45"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7269d9e5f1084a653d575c7ec012ff57f0c042258bf5db0954bf551c158466e7"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:da802a19d6e15dffe4b0c24b38b3af68e6c1a68e6e1d8f30148c83864f3881db"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3aba7311af82e335dd1e36ffff68aaca609ca6290c2cb6d821a39aa075d8e3ff"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:763773d53f07244148ccac5b084da5adb90bfaee39c197554f01b286cf869228"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2270953c0d8cdab5d422bee7d2007f043473f9d2999631c86a223c9db56cbd16"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d099e745a512f7e3bbe7249ca835f4d357c586d78d79ae8f1dcd4d8adeb9bda9"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:74db36e14a7d1ce0986fa104f7d5637aea5c82ca6326ed0ec5694280942d1162"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:7e5bab140c309cb3a6ce373a9e71eb7e4873c70c2dda01df6820474f9889d6d4"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_s390x.whl", hash = "sha256:0f114aa76dc1b8f636d077979c0ac22e7cd8f3493abbab152f20eb8d3cda71f3"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:88a2df29d4724b9237fc0c6eaf2a1adae0cdc0b3e9f4d8e7dc54b16812d2d81a"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-win32.whl", hash = "sha256:72d40b33e834371fd330fb1472ca19d9b8327acb79a5821d4008391db8e29f20"},
+    {file = "kiwisolver-1.4.5-cp312-cp312-win_amd64.whl", hash = "sha256:2c5674c4e74d939b9d91dda0fae10597ac7521768fec9e399c70a1f27e2ea2d9"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:3a2b053a0ab7a3960c98725cfb0bf5b48ba82f64ec95fe06f1d06c99b552e130"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cd32d6c13807e5c66a7cbb79f90b553642f296ae4518a60d8d76243b0ad2898"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:59ec7b7c7e1a61061850d53aaf8e93db63dce0c936db1fda2658b70e4a1be709"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:da4cfb373035def307905d05041c1d06d8936452fe89d464743ae7fb8371078b"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2400873bccc260b6ae184b2b8a4fec0e4082d30648eadb7c3d9a13405d861e89"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:1b04139c4236a0f3aff534479b58f6f849a8b351e1314826c2d230849ed48985"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:4e66e81a5779b65ac21764c295087de82235597a2293d18d943f8e9e32746265"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:7931d8f1f67c4be9ba1dd9c451fb0eeca1a25b89e4d3f89e828fe12a519b782a"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:b3f7e75f3015df442238cca659f8baa5f42ce2a8582727981cbfa15fee0ee205"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:bbf1d63eef84b2e8c89011b7f2235b1e0bf7dacc11cac9431fc6468e99ac77fb"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:4c380469bd3f970ef677bf2bcba2b6b0b4d5c75e7a020fb863ef75084efad66f"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-win32.whl", hash = "sha256:9408acf3270c4b6baad483865191e3e582b638b1654a007c62e3efe96f09a9a3"},
+    {file = "kiwisolver-1.4.5-cp37-cp37m-win_amd64.whl", hash = "sha256:5b94529f9b2591b7af5f3e0e730a4e0a41ea174af35a4fd067775f9bdfeee01a"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:11c7de8f692fc99816e8ac50d1d1aef4f75126eefc33ac79aac02c099fd3db71"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:53abb58632235cd154176ced1ae8f0d29a6657aa1aa9decf50b899b755bc2b93"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:88b9f257ca61b838b6f8094a62418421f87ac2a1069f7e896c36a7d86b5d4c29"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3195782b26fc03aa9c6913d5bad5aeb864bdc372924c093b0f1cebad603dd712"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:fc579bf0f502e54926519451b920e875f433aceb4624a3646b3252b5caa9e0b6"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5a580c91d686376f0f7c295357595c5a026e6cbc3d77b7c36e290201e7c11ecb"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:cfe6ab8da05c01ba6fbea630377b5da2cd9bcbc6338510116b01c1bc939a2c18"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:d2e5a98f0ec99beb3c10e13b387f8db39106d53993f498b295f0c914328b1333"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:a51a263952b1429e429ff236d2f5a21c5125437861baeed77f5e1cc2d2c7c6da"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:3edd2fa14e68c9be82c5b16689e8d63d89fe927e56debd6e1dbce7a26a17f81b"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:74d1b44c6cfc897df648cc9fdaa09bc3e7679926e6f96df05775d4fb3946571c"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:76d9289ed3f7501012e05abb8358bbb129149dbd173f1f57a1bf1c22d19ab7cc"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:92dea1ffe3714fa8eb6a314d2b3c773208d865a0e0d35e713ec54eea08a66250"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-win32.whl", hash = "sha256:5c90ae8c8d32e472be041e76f9d2f2dbff4d0b0be8bd4041770eddb18cf49a4e"},
+    {file = "kiwisolver-1.4.5-cp38-cp38-win_amd64.whl", hash = "sha256:c7940c1dc63eb37a67721b10d703247552416f719c4188c54e04334321351ced"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:9407b6a5f0d675e8a827ad8742e1d6b49d9c1a1da5d952a67d50ef5f4170b18d"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:15568384086b6df3c65353820a4473575dbad192e35010f622c6ce3eebd57af9"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0dc9db8e79f0036e8173c466d21ef18e1befc02de8bf8aa8dc0813a6dc8a7046"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:cdc8a402aaee9a798b50d8b827d7ecf75edc5fb35ea0f91f213ff927c15f4ff0"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:6c3bd3cde54cafb87d74d8db50b909705c62b17c2099b8f2e25b461882e544ff"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:955e8513d07a283056b1396e9a57ceddbd272d9252c14f154d450d227606eb54"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:346f5343b9e3f00b8db8ba359350eb124b98c99efd0b408728ac6ebf38173958"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b9098e0049e88c6a24ff64545cdfc50807818ba6c1b739cae221bbbcbc58aad3"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:00bd361b903dc4bbf4eb165f24d1acbee754fce22ded24c3d56eec268658a5cf"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7b8b454bac16428b22560d0a1cf0a09875339cab69df61d7805bf48919415901"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f1d072c2eb0ad60d4c183f3fb44ac6f73fb7a8f16a2694a91f988275cbf352f9"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:31a82d498054cac9f6d0b53d02bb85811185bcb477d4b60144f915f3b3126342"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6512cb89e334e4700febbffaaa52761b65b4f5a3cf33f960213d5656cea36a77"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-win32.whl", hash = "sha256:9db8ea4c388fdb0f780fe91346fd438657ea602d58348753d9fb265ce1bca67f"},
+    {file = "kiwisolver-1.4.5-cp39-cp39-win_amd64.whl", hash = "sha256:59415f46a37f7f2efeec758353dd2eae1b07640d8ca0f0c42548ec4125492635"},
+    {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:5c7b3b3a728dc6faf3fc372ef24f21d1e3cee2ac3e9596691d746e5a536de920"},
+    {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:620ced262a86244e2be10a676b646f29c34537d0d9cc8eb26c08f53d98013390"},
+    {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:378a214a1e3bbf5ac4a8708304318b4f890da88c9e6a07699c4ae7174c09a68d"},
+    {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaf7be1207676ac608a50cd08f102f6742dbfc70e8d60c4db1c6897f62f71523"},
+    {file = "kiwisolver-1.4.5-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:ba55dce0a9b8ff59495ddd050a0225d58bd0983d09f87cfe2b6aec4f2c1234e4"},
+    {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:fd32ea360bcbb92d28933fc05ed09bffcb1704ba3fc7942e81db0fd4f81a7892"},
+    {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:5e7139af55d1688f8b960ee9ad5adafc4ac17c1c473fe07133ac092310d76544"},
+    {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dced8146011d2bc2e883f9bd68618b8247387f4bbec46d7392b3c3b032640126"},
+    {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c9bf3325c47b11b2e51bca0824ea217c7cd84491d8ac4eefd1e409705ef092bd"},
+    {file = "kiwisolver-1.4.5-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:5794cf59533bc3f1b1c821f7206a3617999db9fbefc345360aafe2e067514929"},
+    {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:e368f200bbc2e4f905b8e71eb38b3c04333bddaa6a2464a6355487b02bb7fb09"},
+    {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e5d706eba36b4c4d5bc6c6377bb6568098765e990cfc21ee16d13963fab7b3e7"},
+    {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85267bd1aa8880a9c88a8cb71e18d3d64d2751a790e6ca6c27b8ccc724bcd5ad"},
+    {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:210ef2c3a1f03272649aff1ef992df2e724748918c4bc2d5a90352849eb40bea"},
+    {file = "kiwisolver-1.4.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:11d011a7574eb3b82bcc9c1a1d35c1d7075677fdd15de527d91b46bd35e935ee"},
+    {file = "kiwisolver-1.4.5.tar.gz", hash = "sha256:e57e563a57fb22a142da34f38acc2fc1a5c864bc29ca1517a88abc963e60d6ec"},
 ]
 
 [[package]]
@@ -385,52 +504,39 @@ files = [
 
 [[package]]
 name = "matplotlib"
-version = "3.7.1"
+version = "3.8.0"
 description = "Python plotting package"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "matplotlib-3.7.1-cp310-cp310-macosx_10_12_universal2.whl", hash = "sha256:95cbc13c1fc6844ab8812a525bbc237fa1470863ff3dace7352e910519e194b1"},
-    {file = "matplotlib-3.7.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:08308bae9e91aca1ec6fd6dda66237eef9f6294ddb17f0d0b3c863169bf82353"},
-    {file = "matplotlib-3.7.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:544764ba51900da4639c0f983b323d288f94f65f4024dc40ecb1542d74dc0500"},
-    {file = "matplotlib-3.7.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56d94989191de3fcc4e002f93f7f1be5da476385dde410ddafbb70686acf00ea"},
-    {file = "matplotlib-3.7.1-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e99bc9e65901bb9a7ce5e7bb24af03675cbd7c70b30ac670aa263240635999a4"},
-    {file = "matplotlib-3.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb7d248c34a341cd4c31a06fd34d64306624c8cd8d0def7abb08792a5abfd556"},
-    {file = "matplotlib-3.7.1-cp310-cp310-win32.whl", hash = "sha256:ce463ce590f3825b52e9fe5c19a3c6a69fd7675a39d589e8b5fbe772272b3a24"},
-    {file = "matplotlib-3.7.1-cp310-cp310-win_amd64.whl", hash = "sha256:3d7bc90727351fb841e4d8ae620d2d86d8ed92b50473cd2b42ce9186104ecbba"},
-    {file = "matplotlib-3.7.1-cp311-cp311-macosx_10_12_universal2.whl", hash = "sha256:770a205966d641627fd5cf9d3cb4b6280a716522cd36b8b284a8eb1581310f61"},
-    {file = "matplotlib-3.7.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:f67bfdb83a8232cb7a92b869f9355d677bce24485c460b19d01970b64b2ed476"},
-    {file = "matplotlib-3.7.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2bf092f9210e105f414a043b92af583c98f50050559616930d884387d0772aba"},
-    {file = "matplotlib-3.7.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:89768d84187f31717349c6bfadc0e0d8c321e8eb34522acec8a67b1236a66332"},
-    {file = "matplotlib-3.7.1-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:83111e6388dec67822e2534e13b243cc644c7494a4bb60584edbff91585a83c6"},
-    {file = "matplotlib-3.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a867bf73a7eb808ef2afbca03bcdb785dae09595fbe550e1bab0cd023eba3de0"},
-    {file = "matplotlib-3.7.1-cp311-cp311-win32.whl", hash = "sha256:fbdeeb58c0cf0595efe89c05c224e0a502d1aa6a8696e68a73c3efc6bc354304"},
-    {file = "matplotlib-3.7.1-cp311-cp311-win_amd64.whl", hash = "sha256:c0bd19c72ae53e6ab979f0ac6a3fafceb02d2ecafa023c5cca47acd934d10be7"},
-    {file = "matplotlib-3.7.1-cp38-cp38-macosx_10_12_universal2.whl", hash = "sha256:6eb88d87cb2c49af00d3bbc33a003f89fd9f78d318848da029383bfc08ecfbfb"},
-    {file = "matplotlib-3.7.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:cf0e4f727534b7b1457898c4f4ae838af1ef87c359b76dcd5330fa31893a3ac7"},
-    {file = "matplotlib-3.7.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:46a561d23b91f30bccfd25429c3c706afe7d73a5cc64ef2dfaf2b2ac47c1a5dc"},
-    {file = "matplotlib-3.7.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:8704726d33e9aa8a6d5215044b8d00804561971163563e6e6591f9dcf64340cc"},
-    {file = "matplotlib-3.7.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4cf327e98ecf08fcbb82685acaf1939d3338548620ab8dfa02828706402c34de"},
-    {file = "matplotlib-3.7.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:617f14ae9d53292ece33f45cba8503494ee199a75b44de7717964f70637a36aa"},
-    {file = "matplotlib-3.7.1-cp38-cp38-win32.whl", hash = "sha256:7c9a4b2da6fac77bcc41b1ea95fadb314e92508bf5493ceff058e727e7ecf5b0"},
-    {file = "matplotlib-3.7.1-cp38-cp38-win_amd64.whl", hash = "sha256:14645aad967684e92fc349493fa10c08a6da514b3d03a5931a1bac26e6792bd1"},
-    {file = "matplotlib-3.7.1-cp39-cp39-macosx_10_12_universal2.whl", hash = "sha256:81a6b377ea444336538638d31fdb39af6be1a043ca5e343fe18d0f17e098770b"},
-    {file = "matplotlib-3.7.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:28506a03bd7f3fe59cd3cd4ceb2a8d8a2b1db41afede01f66c42561b9be7b4b7"},
-    {file = "matplotlib-3.7.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8c587963b85ce41e0a8af53b9b2de8dddbf5ece4c34553f7bd9d066148dc719c"},
-    {file = "matplotlib-3.7.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8bf26ade3ff0f27668989d98c8435ce9327d24cffb7f07d24ef609e33d582439"},
-    {file = "matplotlib-3.7.1-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:def58098f96a05f90af7e92fd127d21a287068202aa43b2a93476170ebd99e87"},
-    {file = "matplotlib-3.7.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f883a22a56a84dba3b588696a2b8a1ab0d2c3d41be53264115c71b0a942d8fdb"},
-    {file = "matplotlib-3.7.1-cp39-cp39-win32.whl", hash = "sha256:4f99e1b234c30c1e9714610eb0c6d2f11809c9c78c984a613ae539ea2ad2eb4b"},
-    {file = "matplotlib-3.7.1-cp39-cp39-win_amd64.whl", hash = "sha256:3ba2af245e36990facf67fde840a760128ddd71210b2ab6406e640188d69d136"},
-    {file = "matplotlib-3.7.1-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:3032884084f541163f295db8a6536e0abb0db464008fadca6c98aaf84ccf4717"},
-    {file = "matplotlib-3.7.1-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3a2cb34336110e0ed8bb4f650e817eed61fa064acbefeb3591f1b33e3a84fd96"},
-    {file = "matplotlib-3.7.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b867e2f952ed592237a1828f027d332d8ee219ad722345b79a001f49df0936eb"},
-    {file = "matplotlib-3.7.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:57bfb8c8ea253be947ccb2bc2d1bb3862c2bccc662ad1b4626e1f5e004557042"},
-    {file = "matplotlib-3.7.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:438196cdf5dc8d39b50a45cb6e3f6274edbcf2254f85fa9b895bf85851c3a613"},
-    {file = "matplotlib-3.7.1-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:21e9cff1a58d42e74d01153360de92b326708fb205250150018a52c70f43c290"},
-    {file = "matplotlib-3.7.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:75d4725d70b7c03e082bbb8a34639ede17f333d7247f56caceb3801cb6ff703d"},
-    {file = "matplotlib-3.7.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:97cc368a7268141afb5690760921765ed34867ffb9655dd325ed207af85c7529"},
-    {file = "matplotlib-3.7.1.tar.gz", hash = "sha256:7b73305f25eab4541bd7ee0b96d87e53ae9c9f1823be5659b806cd85786fe882"},
+    {file = "matplotlib-3.8.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c4940bad88a932ddc69734274f6fb047207e008389489f2b6f77d9ca485f0e7a"},
+    {file = "matplotlib-3.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:a33bd3045c7452ca1fa65676d88ba940867880e13e2546abb143035fa9072a9d"},
+    {file = "matplotlib-3.8.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ea6886e93401c22e534bbfd39201ce8931b75502895cfb115cbdbbe2d31f287"},
+    {file = "matplotlib-3.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d670b9348e712ec176de225d425f150dc8e37b13010d85233c539b547da0be39"},
+    {file = "matplotlib-3.8.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:7b37b74f00c4cb6af908cb9a00779d97d294e89fd2145ad43f0cdc23f635760c"},
+    {file = "matplotlib-3.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:0e723f5b96f3cd4aad99103dc93e9e3cdc4f18afdcc76951f4857b46f8e39d2d"},
+    {file = "matplotlib-3.8.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:5dc945a9cb2deb7d197ba23eb4c210e591d52d77bf0ba27c35fc82dec9fa78d4"},
+    {file = "matplotlib-3.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f8b5a1bf27d078453aa7b5b27f52580e16360d02df6d3dc9504f3d2ce11f6309"},
+    {file = "matplotlib-3.8.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6f25ffb6ad972cdffa7df8e5be4b1e3cadd2f8d43fc72085feb1518006178394"},
+    {file = "matplotlib-3.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eee482731c8c17d86d9ddb5194d38621f9b0f0d53c99006275a12523ab021732"},
+    {file = "matplotlib-3.8.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:36eafe2128772195b373e1242df28d1b7ec6c04c15b090b8d9e335d55a323900"},
+    {file = "matplotlib-3.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:061ee58facb3580cd2d046a6d227fb77e9295599c5ec6ad069f06b5821ad1cfc"},
+    {file = "matplotlib-3.8.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:3cc3776836d0f4f22654a7f2d2ec2004618d5cf86b7185318381f73b80fd8a2d"},
+    {file = "matplotlib-3.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6c49a2bd6981264bddcb8c317b6bd25febcece9e2ebfcbc34e7f4c0c867c09dc"},
+    {file = "matplotlib-3.8.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:23ed11654fc83cd6cfdf6170b453e437674a050a452133a064d47f2f1371f8d3"},
+    {file = "matplotlib-3.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dae97fdd6996b3a25da8ee43e3fc734fff502f396801063c6b76c20b56683196"},
+    {file = "matplotlib-3.8.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:87df75f528020a6299f76a1d986c0ed4406e3b2bd44bc5e306e46bca7d45e53e"},
+    {file = "matplotlib-3.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:90d74a95fe055f73a6cd737beecc1b81c26f2893b7a3751d52b53ff06ca53f36"},
+    {file = "matplotlib-3.8.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c3499c312f5def8f362a2bf761d04fa2d452b333f3a9a3f58805273719bf20d9"},
+    {file = "matplotlib-3.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:31e793c8bd4ea268cc5d3a695c27b30650ec35238626961d73085d5e94b6ab68"},
+    {file = "matplotlib-3.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d5ee602ef517a89d1f2c508ca189cfc395dd0b4a08284fb1b97a78eec354644"},
+    {file = "matplotlib-3.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5de39dc61ca35342cf409e031f70f18219f2c48380d3886c1cf5ad9f17898e06"},
+    {file = "matplotlib-3.8.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:dd386c80a98b5f51571b9484bf6c6976de383cd2a8cd972b6a9562d85c6d2087"},
+    {file = "matplotlib-3.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:f691b4ef47c7384d0936b2e8ebdeb5d526c81d004ad9403dfb9d4c76b9979a93"},
+    {file = "matplotlib-3.8.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:0b11f354aae62a2aa53ec5bb09946f5f06fc41793e351a04ff60223ea9162955"},
+    {file = "matplotlib-3.8.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7f54b9fb87ca5acbcdd0f286021bedc162e1425fa5555ebf3b3dfc167b955ad9"},
+    {file = "matplotlib-3.8.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:60a6e04dfd77c0d3bcfee61c3cd335fff1b917c2f303b32524cd1235e194ef99"},
+    {file = "matplotlib-3.8.0.tar.gz", hash = "sha256:df8505e1c19d5c2c26aff3497a7cbd3ccfc2e97043d1e4db3e76afa399164b69"},
 ]
 
 [package.dependencies]
@@ -438,47 +544,45 @@ contourpy = ">=1.0.1"
 cycler = ">=0.10"
 fonttools = ">=4.22.0"
 kiwisolver = ">=1.0.1"
-numpy = ">=1.20"
+numpy = ">=1.21,<2"
 packaging = ">=20.0"
 pillow = ">=6.2.0"
 pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
+setuptools_scm = ">=7"
 
 [[package]]
 name = "numpy"
-version = "1.24.3"
+version = "1.25.2"
 description = "Fundamental package for array computing in Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "numpy-1.24.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3c1104d3c036fb81ab923f507536daedc718d0ad5a8707c6061cdfd6d184e570"},
-    {file = "numpy-1.24.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:202de8f38fc4a45a3eea4b63e2f376e5f2dc64ef0fa692838e31a808520efaf7"},
-    {file = "numpy-1.24.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8535303847b89aa6b0f00aa1dc62867b5a32923e4d1681a35b5eef2d9591a463"},
-    {file = "numpy-1.24.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2d926b52ba1367f9acb76b0df6ed21f0b16a1ad87c6720a1121674e5cf63e2b6"},
-    {file = "numpy-1.24.3-cp310-cp310-win32.whl", hash = "sha256:f21c442fdd2805e91799fbe044a7b999b8571bb0ab0f7850d0cb9641a687092b"},
-    {file = "numpy-1.24.3-cp310-cp310-win_amd64.whl", hash = "sha256:ab5f23af8c16022663a652d3b25dcdc272ac3f83c3af4c02eb8b824e6b3ab9d7"},
-    {file = "numpy-1.24.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9a7721ec204d3a237225db3e194c25268faf92e19338a35f3a224469cb6039a3"},
-    {file = "numpy-1.24.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d6cc757de514c00b24ae8cf5c876af2a7c3df189028d68c0cb4eaa9cd5afc2bf"},
-    {file = "numpy-1.24.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:76e3f4e85fc5d4fd311f6e9b794d0c00e7002ec122be271f2019d63376f1d385"},
-    {file = "numpy-1.24.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1d3c026f57ceaad42f8231305d4653d5f05dc6332a730ae5c0bea3513de0950"},
-    {file = "numpy-1.24.3-cp311-cp311-win32.whl", hash = "sha256:c91c4afd8abc3908e00a44b2672718905b8611503f7ff87390cc0ac3423fb096"},
-    {file = "numpy-1.24.3-cp311-cp311-win_amd64.whl", hash = "sha256:5342cf6aad47943286afa6f1609cad9b4266a05e7f2ec408e2cf7aea7ff69d80"},
-    {file = "numpy-1.24.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:7776ea65423ca6a15255ba1872d82d207bd1e09f6d0894ee4a64678dd2204078"},
-    {file = "numpy-1.24.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:ae8d0be48d1b6ed82588934aaaa179875e7dc4f3d84da18d7eae6eb3f06c242c"},
-    {file = "numpy-1.24.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecde0f8adef7dfdec993fd54b0f78183051b6580f606111a6d789cd14c61ea0c"},
-    {file = "numpy-1.24.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4749e053a29364d3452c034827102ee100986903263e89884922ef01a0a6fd2f"},
-    {file = "numpy-1.24.3-cp38-cp38-win32.whl", hash = "sha256:d933fabd8f6a319e8530d0de4fcc2e6a61917e0b0c271fded460032db42a0fe4"},
-    {file = "numpy-1.24.3-cp38-cp38-win_amd64.whl", hash = "sha256:56e48aec79ae238f6e4395886b5eaed058abb7231fb3361ddd7bfdf4eed54289"},
-    {file = "numpy-1.24.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4719d5aefb5189f50887773699eaf94e7d1e02bf36c1a9d353d9f46703758ca4"},
-    {file = "numpy-1.24.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0ec87a7084caa559c36e0a2309e4ecb1baa03b687201d0a847c8b0ed476a7187"},
-    {file = "numpy-1.24.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea8282b9bcfe2b5e7d491d0bf7f3e2da29700cec05b49e64d6246923329f2b02"},
-    {file = "numpy-1.24.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:210461d87fb02a84ef243cac5e814aad2b7f4be953b32cb53327bb49fd77fbb4"},
-    {file = "numpy-1.24.3-cp39-cp39-win32.whl", hash = "sha256:784c6da1a07818491b0ffd63c6bbe5a33deaa0e25a20e1b3ea20cf0e43f8046c"},
-    {file = "numpy-1.24.3-cp39-cp39-win_amd64.whl", hash = "sha256:d5036197ecae68d7f491fcdb4df90082b0d4960ca6599ba2659957aafced7c17"},
-    {file = "numpy-1.24.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:352ee00c7f8387b44d19f4cada524586f07379c0d49270f87233983bc5087ca0"},
-    {file = "numpy-1.24.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1a7d6acc2e7524c9955e5c903160aa4ea083736fde7e91276b0e5d98e6332812"},
-    {file = "numpy-1.24.3-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:35400e6a8d102fd07c71ed7dcadd9eb62ee9a6e84ec159bd48c28235bbb0f8e4"},
-    {file = "numpy-1.24.3.tar.gz", hash = "sha256:ab344f1bf21f140adab8e47fdbc7c35a477dc01408791f8ba00d018dd0bc5155"},
+    {file = "numpy-1.25.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:db3ccc4e37a6873045580d413fe79b68e47a681af8db2e046f1dacfa11f86eb3"},
+    {file = "numpy-1.25.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:90319e4f002795ccfc9050110bbbaa16c944b1c37c0baeea43c5fb881693ae1f"},
+    {file = "numpy-1.25.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dfe4a913e29b418d096e696ddd422d8a5d13ffba4ea91f9f60440a3b759b0187"},
+    {file = "numpy-1.25.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f08f2e037bba04e707eebf4bc934f1972a315c883a9e0ebfa8a7756eabf9e357"},
+    {file = "numpy-1.25.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:bec1e7213c7cb00d67093247f8c4db156fd03075f49876957dca4711306d39c9"},
+    {file = "numpy-1.25.2-cp310-cp310-win32.whl", hash = "sha256:7dc869c0c75988e1c693d0e2d5b26034644399dd929bc049db55395b1379e044"},
+    {file = "numpy-1.25.2-cp310-cp310-win_amd64.whl", hash = "sha256:834b386f2b8210dca38c71a6e0f4fd6922f7d3fcff935dbe3a570945acb1b545"},
+    {file = "numpy-1.25.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c5462d19336db4560041517dbb7759c21d181a67cb01b36ca109b2ae37d32418"},
+    {file = "numpy-1.25.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:c5652ea24d33585ea39eb6a6a15dac87a1206a692719ff45d53c5282e66d4a8f"},
+    {file = "numpy-1.25.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d60fbae8e0019865fc4784745814cff1c421df5afee233db6d88ab4f14655a2"},
+    {file = "numpy-1.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:60e7f0f7f6d0eee8364b9a6304c2845b9c491ac706048c7e8cf47b83123b8dbf"},
+    {file = "numpy-1.25.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:bb33d5a1cf360304754913a350edda36d5b8c5331a8237268c48f91253c3a364"},
+    {file = "numpy-1.25.2-cp311-cp311-win32.whl", hash = "sha256:5883c06bb92f2e6c8181df7b39971a5fb436288db58b5a1c3967702d4278691d"},
+    {file = "numpy-1.25.2-cp311-cp311-win_amd64.whl", hash = "sha256:5c97325a0ba6f9d041feb9390924614b60b99209a71a69c876f71052521d42a4"},
+    {file = "numpy-1.25.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b79e513d7aac42ae918db3ad1341a015488530d0bb2a6abcbdd10a3a829ccfd3"},
+    {file = "numpy-1.25.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:eb942bfb6f84df5ce05dbf4b46673ffed0d3da59f13635ea9b926af3deb76926"},
+    {file = "numpy-1.25.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e0746410e73384e70d286f93abf2520035250aad8c5714240b0492a7302fdca"},
+    {file = "numpy-1.25.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7806500e4f5bdd04095e849265e55de20d8cc4b661b038957354327f6d9b295"},
+    {file = "numpy-1.25.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8b77775f4b7df768967a7c8b3567e309f617dd5e99aeb886fa14dc1a0791141f"},
+    {file = "numpy-1.25.2-cp39-cp39-win32.whl", hash = "sha256:2792d23d62ec51e50ce4d4b7d73de8f67a2fd3ea710dcbc8563a51a03fb07b01"},
+    {file = "numpy-1.25.2-cp39-cp39-win_amd64.whl", hash = "sha256:76b4115d42a7dfc5d485d358728cdd8719be33cc5ec6ec08632a5d6fca2ed380"},
+    {file = "numpy-1.25.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:1a1329e26f46230bf77b02cc19e900db9b52f398d6722ca853349a782d4cff55"},
+    {file = "numpy-1.25.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c3abc71e8b6edba80a01a52e66d83c5d14433cbcd26a40c329ec7ed09f37901"},
+    {file = "numpy-1.25.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:1b9735c27cea5d995496f46a8b1cd7b408b3f34b6d50459d9ac8fe3a20cc17bf"},
+    {file = "numpy-1.25.2.tar.gz", hash = "sha256:fd608e19c8d7c55021dffd43bfe5492fab8cc105cc8986f813f8c3c048b38760"},
 ]
 
 [[package]]
@@ -494,143 +598,187 @@ files = [
 
 [[package]]
 name = "pandas"
-version = "2.0.3"
+version = "2.1.0"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "pandas-2.0.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e4c7c9f27a4185304c7caf96dc7d91bc60bc162221152de697c98eb0b2648dd8"},
-    {file = "pandas-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f167beed68918d62bffb6ec64f2e1d8a7d297a038f86d4aed056b9493fca407f"},
-    {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0c6f76a0f1ba361551f3e6dceaff06bde7514a374aa43e33b588ec10420183"},
-    {file = "pandas-2.0.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba619e410a21d8c387a1ea6e8a0e49bb42216474436245718d7f2e88a2f8d7c0"},
-    {file = "pandas-2.0.3-cp310-cp310-win32.whl", hash = "sha256:3ef285093b4fe5058eefd756100a367f27029913760773c8bf1d2d8bebe5d210"},
-    {file = "pandas-2.0.3-cp310-cp310-win_amd64.whl", hash = "sha256:9ee1a69328d5c36c98d8e74db06f4ad518a1840e8ccb94a4ba86920986bb617e"},
-    {file = "pandas-2.0.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b084b91d8d66ab19f5bb3256cbd5ea661848338301940e17f4492b2ce0801fe8"},
-    {file = "pandas-2.0.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:37673e3bdf1551b95bf5d4ce372b37770f9529743d2498032439371fc7b7eb26"},
-    {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9cb1e14fdb546396b7e1b923ffaeeac24e4cedd14266c3497216dd4448e4f2d"},
-    {file = "pandas-2.0.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d9cd88488cceb7635aebb84809d087468eb33551097d600c6dad13602029c2df"},
-    {file = "pandas-2.0.3-cp311-cp311-win32.whl", hash = "sha256:694888a81198786f0e164ee3a581df7d505024fbb1f15202fc7db88a71d84ebd"},
-    {file = "pandas-2.0.3-cp311-cp311-win_amd64.whl", hash = "sha256:6a21ab5c89dcbd57f78d0ae16630b090eec626360085a4148693def5452d8a6b"},
-    {file = "pandas-2.0.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9e4da0d45e7f34c069fe4d522359df7d23badf83abc1d1cef398895822d11061"},
-    {file = "pandas-2.0.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:32fca2ee1b0d93dd71d979726b12b61faa06aeb93cf77468776287f41ff8fdc5"},
-    {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:258d3624b3ae734490e4d63c430256e716f488c4fcb7c8e9bde2d3aa46c29089"},
-    {file = "pandas-2.0.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eae3dc34fa1aa7772dd3fc60270d13ced7346fcbcfee017d3132ec625e23bb0"},
-    {file = "pandas-2.0.3-cp38-cp38-win32.whl", hash = "sha256:f3421a7afb1a43f7e38e82e844e2bca9a6d793d66c1a7f9f0ff39a795bbc5e02"},
-    {file = "pandas-2.0.3-cp38-cp38-win_amd64.whl", hash = "sha256:69d7f3884c95da3a31ef82b7618af5710dba95bb885ffab339aad925c3e8ce78"},
-    {file = "pandas-2.0.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5247fb1ba347c1261cbbf0fcfba4a3121fbb4029d95d9ef4dc45406620b25c8b"},
-    {file = "pandas-2.0.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:81af086f4543c9d8bb128328b5d32e9986e0c84d3ee673a2ac6fb57fd14f755e"},
-    {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1994c789bf12a7c5098277fb43836ce090f1073858c10f9220998ac74f37c69b"},
-    {file = "pandas-2.0.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ec591c48e29226bcbb316e0c1e9423622bc7a4eaf1ef7c3c9fa1a3981f89641"},
-    {file = "pandas-2.0.3-cp39-cp39-win32.whl", hash = "sha256:04dbdbaf2e4d46ca8da896e1805bc04eb85caa9a82e259e8eed00254d5e0c682"},
-    {file = "pandas-2.0.3-cp39-cp39-win_amd64.whl", hash = "sha256:1168574b036cd8b93abc746171c9b4f1b83467438a5e45909fed645cf8692dbc"},
-    {file = "pandas-2.0.3.tar.gz", hash = "sha256:c02f372a88e0d17f36d3093a644c73cfc1788e876a7c4bcb4020a77512e2043c"},
+    {file = "pandas-2.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:40dd20439ff94f1b2ed55b393ecee9cb6f3b08104c2c40b0cb7186a2f0046242"},
+    {file = "pandas-2.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d4f38e4fedeba580285eaac7ede4f686c6701a9e618d8a857b138a126d067f2f"},
+    {file = "pandas-2.1.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6e6a0fe052cf27ceb29be9429428b4918f3740e37ff185658f40d8702f0b3e09"},
+    {file = "pandas-2.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d81e1813191070440d4c7a413cb673052b3b4a984ffd86b8dd468c45742d3cc"},
+    {file = "pandas-2.1.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:eb20252720b1cc1b7d0b2879ffc7e0542dd568f24d7c4b2347cb035206936421"},
+    {file = "pandas-2.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:38f74ef7ebc0ffb43b3d633e23d74882bce7e27bfa09607f3c5d3e03ffd9a4a5"},
+    {file = "pandas-2.1.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cda72cc8c4761c8f1d97b169661f23a86b16fdb240bdc341173aee17e4d6cedd"},
+    {file = "pandas-2.1.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d97daeac0db8c993420b10da4f5f5b39b01fc9ca689a17844e07c0a35ac96b4b"},
+    {file = "pandas-2.1.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d8c58b1113892e0c8078f006a167cc210a92bdae23322bb4614f2f0b7a4b510f"},
+    {file = "pandas-2.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:629124923bcf798965b054a540f9ccdfd60f71361255c81fa1ecd94a904b9dd3"},
+    {file = "pandas-2.1.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:70cf866af3ab346a10debba8ea78077cf3a8cd14bd5e4bed3d41555a3280041c"},
+    {file = "pandas-2.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:d53c8c1001f6a192ff1de1efe03b31a423d0eee2e9e855e69d004308e046e694"},
+    {file = "pandas-2.1.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:86f100b3876b8c6d1a2c66207288ead435dc71041ee4aea789e55ef0e06408cb"},
+    {file = "pandas-2.1.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:28f330845ad21c11db51e02d8d69acc9035edfd1116926ff7245c7215db57957"},
+    {file = "pandas-2.1.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9a6ccf0963db88f9b12df6720e55f337447aea217f426a22d71f4213a3099a6"},
+    {file = "pandas-2.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d99e678180bc59b0c9443314297bddce4ad35727a1a2656dbe585fd78710b3b9"},
+    {file = "pandas-2.1.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:b31da36d376d50a1a492efb18097b9101bdbd8b3fbb3f49006e02d4495d4c644"},
+    {file = "pandas-2.1.0-cp39-cp39-win_amd64.whl", hash = "sha256:0164b85937707ec7f70b34a6c3a578dbf0f50787f910f21ca3b26a7fd3363437"},
+    {file = "pandas-2.1.0.tar.gz", hash = "sha256:62c24c7fc59e42b775ce0679cfa7b14a5f9bfb7643cfbe708c960699e05fb918"},
 ]
 
 [package.dependencies]
-numpy = [
-    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
-    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
-]
+numpy = {version = ">=1.23.2", markers = "python_version >= \"3.11\""}
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
 tzdata = ">=2022.1"
 
 [package.extras]
-all = ["PyQt5 (>=5.15.1)", "SQLAlchemy (>=1.4.16)", "beautifulsoup4 (>=4.9.3)", "bottleneck (>=1.3.2)", "brotlipy (>=0.7.0)", "fastparquet (>=0.6.3)", "fsspec (>=2021.07.0)", "gcsfs (>=2021.07.0)", "html5lib (>=1.1)", "hypothesis (>=6.34.2)", "jinja2 (>=3.0.0)", "lxml (>=4.6.3)", "matplotlib (>=3.6.1)", "numba (>=0.53.1)", "numexpr (>=2.7.3)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pandas-gbq (>=0.15.0)", "psycopg2 (>=2.8.6)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "python-snappy (>=0.6.0)", "pyxlsb (>=1.0.8)", "qtpy (>=2.2.0)", "s3fs (>=2021.08.0)", "scipy (>=1.7.1)", "tables (>=3.6.1)", "tabulate (>=0.8.9)", "xarray (>=0.21.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)", "zstandard (>=0.15.2)"]
-aws = ["s3fs (>=2021.08.0)"]
-clipboard = ["PyQt5 (>=5.15.1)", "qtpy (>=2.2.0)"]
-compression = ["brotlipy (>=0.7.0)", "python-snappy (>=0.6.0)", "zstandard (>=0.15.2)"]
-computation = ["scipy (>=1.7.1)", "xarray (>=0.21.0)"]
-excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.7)", "pyxlsb (>=1.0.8)", "xlrd (>=2.0.1)", "xlsxwriter (>=1.4.3)"]
+all = ["PyQt5 (>=5.15.6)", "SQLAlchemy (>=1.4.36)", "beautifulsoup4 (>=4.11.1)", "bottleneck (>=1.3.4)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=0.8.1)", "fsspec (>=2022.05.0)", "gcsfs (>=2022.05.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.8.0)", "matplotlib (>=3.6.1)", "numba (>=0.55.2)", "numexpr (>=2.8.0)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pandas-gbq (>=0.17.5)", "psycopg2 (>=2.9.3)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.5)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "pyxlsb (>=1.0.9)", "qtpy (>=2.2.0)", "s3fs (>=2022.05.0)", "scipy (>=1.8.1)", "tables (>=3.7.0)", "tabulate (>=0.8.10)", "xarray (>=2022.03.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)", "zstandard (>=0.17.0)"]
+aws = ["s3fs (>=2022.05.0)"]
+clipboard = ["PyQt5 (>=5.15.6)", "qtpy (>=2.2.0)"]
+compression = ["zstandard (>=0.17.0)"]
+computation = ["scipy (>=1.8.1)", "xarray (>=2022.03.0)"]
+consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
+excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pyxlsb (>=1.0.9)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)"]
 feather = ["pyarrow (>=7.0.0)"]
-fss = ["fsspec (>=2021.07.0)"]
-gcp = ["gcsfs (>=2021.07.0)", "pandas-gbq (>=0.15.0)"]
-hdf5 = ["tables (>=3.6.1)"]
-html = ["beautifulsoup4 (>=4.9.3)", "html5lib (>=1.1)", "lxml (>=4.6.3)"]
-mysql = ["SQLAlchemy (>=1.4.16)", "pymysql (>=1.0.2)"]
-output-formatting = ["jinja2 (>=3.0.0)", "tabulate (>=0.8.9)"]
+fss = ["fsspec (>=2022.05.0)"]
+gcp = ["gcsfs (>=2022.05.0)", "pandas-gbq (>=0.17.5)"]
+hdf5 = ["tables (>=3.7.0)"]
+html = ["beautifulsoup4 (>=4.11.1)", "html5lib (>=1.1)", "lxml (>=4.8.0)"]
+mysql = ["SQLAlchemy (>=1.4.36)", "pymysql (>=1.0.2)"]
+output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.8.10)"]
 parquet = ["pyarrow (>=7.0.0)"]
-performance = ["bottleneck (>=1.3.2)", "numba (>=0.53.1)", "numexpr (>=2.7.1)"]
+performance = ["bottleneck (>=1.3.4)", "numba (>=0.55.2)", "numexpr (>=2.8.0)"]
 plot = ["matplotlib (>=3.6.1)"]
-postgresql = ["SQLAlchemy (>=1.4.16)", "psycopg2 (>=2.8.6)"]
-spss = ["pyreadstat (>=1.1.2)"]
-sql-other = ["SQLAlchemy (>=1.4.16)"]
-test = ["hypothesis (>=6.34.2)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
-xml = ["lxml (>=4.6.3)"]
+postgresql = ["SQLAlchemy (>=1.4.36)", "psycopg2 (>=2.9.3)"]
+spss = ["pyreadstat (>=1.1.5)"]
+sql-other = ["SQLAlchemy (>=1.4.36)"]
+test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
+xml = ["lxml (>=4.8.0)"]
+
+[[package]]
+name = "pandas"
+version = "2.1.1"
+description = "Powerful data structures for data analysis, time series, and statistics"
+optional = false
+python-versions = ">=3.9"
+files = [
+    {file = "pandas-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:58d997dbee0d4b64f3cb881a24f918b5f25dd64ddf31f467bb9b67ae4c63a1e4"},
+    {file = "pandas-2.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02304e11582c5d090e5a52aec726f31fe3f42895d6bfc1f28738f9b64b6f0614"},
+    {file = "pandas-2.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffa8f0966de2c22de408d0e322db2faed6f6e74265aa0856f3824813cf124363"},
+    {file = "pandas-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1f84c144dee086fe4f04a472b5cd51e680f061adf75c1ae4fc3a9275560f8f4"},
+    {file = "pandas-2.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:75ce97667d06d69396d72be074f0556698c7f662029322027c226fd7a26965cb"},
+    {file = "pandas-2.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:4c3f32fd7c4dccd035f71734df39231ac1a6ff95e8bdab8d891167197b7018d2"},
+    {file = "pandas-2.1.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:9e2959720b70e106bb1d8b6eadd8ecd7c8e99ccdbe03ee03260877184bb2877d"},
+    {file = "pandas-2.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:25e8474a8eb258e391e30c288eecec565bfed3e026f312b0cbd709a63906b6f8"},
+    {file = "pandas-2.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b8bd1685556f3374520466998929bade3076aeae77c3e67ada5ed2b90b4de7f0"},
+    {file = "pandas-2.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dc3657869c7902810f32bd072f0740487f9e030c1a3ab03e0af093db35a9d14e"},
+    {file = "pandas-2.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:05674536bd477af36aa2effd4ec8f71b92234ce0cc174de34fd21e2ee99adbc2"},
+    {file = "pandas-2.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:b407381258a667df49d58a1b637be33e514b07f9285feb27769cedb3ab3d0b3a"},
+    {file = "pandas-2.1.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:c747793c4e9dcece7bb20156179529898abf505fe32cb40c4052107a3c620b49"},
+    {file = "pandas-2.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3bcad1e6fb34b727b016775bea407311f7721db87e5b409e6542f4546a4951ea"},
+    {file = "pandas-2.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f5ec7740f9ccb90aec64edd71434711f58ee0ea7f5ed4ac48be11cfa9abf7317"},
+    {file = "pandas-2.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:29deb61de5a8a93bdd033df328441a79fcf8dd3c12d5ed0b41a395eef9cd76f0"},
+    {file = "pandas-2.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:4f99bebf19b7e03cf80a4e770a3e65eee9dd4e2679039f542d7c1ace7b7b1daa"},
+    {file = "pandas-2.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:84e7e910096416adec68075dc87b986ff202920fb8704e6d9c8c9897fe7332d6"},
+    {file = "pandas-2.1.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:366da7b0e540d1b908886d4feb3d951f2f1e572e655c1160f5fde28ad4abb750"},
+    {file = "pandas-2.1.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9e50e72b667415a816ac27dfcfe686dc5a0b02202e06196b943d54c4f9c7693e"},
+    {file = "pandas-2.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cc1ab6a25da197f03ebe6d8fa17273126120874386b4ac11c1d687df288542dd"},
+    {file = "pandas-2.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a0dbfea0dd3901ad4ce2306575c54348d98499c95be01b8d885a2737fe4d7a98"},
+    {file = "pandas-2.1.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:0489b0e6aa3d907e909aef92975edae89b1ee1654db5eafb9be633b0124abe97"},
+    {file = "pandas-2.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:4cdb0fab0400c2cb46dafcf1a0fe084c8bb2480a1fa8d81e19d15e12e6d4ded2"},
+    {file = "pandas-2.1.1.tar.gz", hash = "sha256:fecb198dc389429be557cde50a2d46da8434a17fe37d7d41ff102e3987fd947b"},
+]
+
+[package.dependencies]
+numpy = {version = ">=1.23.2", markers = "python_version == \"3.11\""}
+python-dateutil = ">=2.8.2"
+pytz = ">=2020.1"
+tzdata = ">=2022.1"
+
+[package.extras]
+all = ["PyQt5 (>=5.15.6)", "SQLAlchemy (>=1.4.36)", "beautifulsoup4 (>=4.11.1)", "bottleneck (>=1.3.4)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=0.8.1)", "fsspec (>=2022.05.0)", "gcsfs (>=2022.05.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.8.0)", "matplotlib (>=3.6.1)", "numba (>=0.55.2)", "numexpr (>=2.8.0)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pandas-gbq (>=0.17.5)", "psycopg2 (>=2.9.3)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.5)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)", "pyxlsb (>=1.0.9)", "qtpy (>=2.2.0)", "s3fs (>=2022.05.0)", "scipy (>=1.8.1)", "tables (>=3.7.0)", "tabulate (>=0.8.10)", "xarray (>=2022.03.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)", "zstandard (>=0.17.0)"]
+aws = ["s3fs (>=2022.05.0)"]
+clipboard = ["PyQt5 (>=5.15.6)", "qtpy (>=2.2.0)"]
+compression = ["zstandard (>=0.17.0)"]
+computation = ["scipy (>=1.8.1)", "xarray (>=2022.03.0)"]
+consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
+excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pyxlsb (>=1.0.9)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)"]
+feather = ["pyarrow (>=7.0.0)"]
+fss = ["fsspec (>=2022.05.0)"]
+gcp = ["gcsfs (>=2022.05.0)", "pandas-gbq (>=0.17.5)"]
+hdf5 = ["tables (>=3.7.0)"]
+html = ["beautifulsoup4 (>=4.11.1)", "html5lib (>=1.1)", "lxml (>=4.8.0)"]
+mysql = ["SQLAlchemy (>=1.4.36)", "pymysql (>=1.0.2)"]
+output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.8.10)"]
+parquet = ["pyarrow (>=7.0.0)"]
+performance = ["bottleneck (>=1.3.4)", "numba (>=0.55.2)", "numexpr (>=2.8.0)"]
+plot = ["matplotlib (>=3.6.1)"]
+postgresql = ["SQLAlchemy (>=1.4.36)", "psycopg2 (>=2.9.3)"]
+spss = ["pyreadstat (>=1.1.5)"]
+sql-other = ["SQLAlchemy (>=1.4.36)"]
+test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
+xml = ["lxml (>=4.8.0)"]
 
 [[package]]
 name = "pillow"
-version = "9.5.0"
+version = "10.0.1"
 description = "Python Imaging Library (Fork)"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "Pillow-9.5.0-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:ace6ca218308447b9077c14ea4ef381ba0b67ee78d64046b3f19cf4e1139ad16"},
-    {file = "Pillow-9.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d3d403753c9d5adc04d4694d35cf0391f0f3d57c8e0030aac09d7678fa8030aa"},
-    {file = "Pillow-9.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5ba1b81ee69573fe7124881762bb4cd2e4b6ed9dd28c9c60a632902fe8db8b38"},
-    {file = "Pillow-9.5.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fe7e1c262d3392afcf5071df9afa574544f28eac825284596ac6db56e6d11062"},
-    {file = "Pillow-9.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f36397bf3f7d7c6a3abdea815ecf6fd14e7fcd4418ab24bae01008d8d8ca15e"},
-    {file = "Pillow-9.5.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:252a03f1bdddce077eff2354c3861bf437c892fb1832f75ce813ee94347aa9b5"},
-    {file = "Pillow-9.5.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:85ec677246533e27770b0de5cf0f9d6e4ec0c212a1f89dfc941b64b21226009d"},
-    {file = "Pillow-9.5.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:b416f03d37d27290cb93597335a2f85ed446731200705b22bb927405320de903"},
-    {file = "Pillow-9.5.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:1781a624c229cb35a2ac31cc4a77e28cafc8900733a864870c49bfeedacd106a"},
-    {file = "Pillow-9.5.0-cp310-cp310-win32.whl", hash = "sha256:8507eda3cd0608a1f94f58c64817e83ec12fa93a9436938b191b80d9e4c0fc44"},
-    {file = "Pillow-9.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:d3c6b54e304c60c4181da1c9dadf83e4a54fd266a99c70ba646a9baa626819eb"},
-    {file = "Pillow-9.5.0-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:7ec6f6ce99dab90b52da21cf0dc519e21095e332ff3b399a357c187b1a5eee32"},
-    {file = "Pillow-9.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:560737e70cb9c6255d6dcba3de6578a9e2ec4b573659943a5e7e4af13f298f5c"},
-    {file = "Pillow-9.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:96e88745a55b88a7c64fa49bceff363a1a27d9a64e04019c2281049444a571e3"},
-    {file = "Pillow-9.5.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d9c206c29b46cfd343ea7cdfe1232443072bbb270d6a46f59c259460db76779a"},
-    {file = "Pillow-9.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cfcc2c53c06f2ccb8976fb5c71d448bdd0a07d26d8e07e321c103416444c7ad1"},
-    {file = "Pillow-9.5.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:a0f9bb6c80e6efcde93ffc51256d5cfb2155ff8f78292f074f60f9e70b942d99"},
-    {file = "Pillow-9.5.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:8d935f924bbab8f0a9a28404422da8af4904e36d5c33fc6f677e4c4485515625"},
-    {file = "Pillow-9.5.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:fed1e1cf6a42577953abbe8e6cf2fe2f566daebde7c34724ec8803c4c0cda579"},
-    {file = "Pillow-9.5.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:c1170d6b195555644f0616fd6ed929dfcf6333b8675fcca044ae5ab110ded296"},
-    {file = "Pillow-9.5.0-cp311-cp311-win32.whl", hash = "sha256:54f7102ad31a3de5666827526e248c3530b3a33539dbda27c6843d19d72644ec"},
-    {file = "Pillow-9.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:cfa4561277f677ecf651e2b22dc43e8f5368b74a25a8f7d1d4a3a243e573f2d4"},
-    {file = "Pillow-9.5.0-cp311-cp311-win_arm64.whl", hash = "sha256:965e4a05ef364e7b973dd17fc765f42233415974d773e82144c9bbaaaea5d089"},
-    {file = "Pillow-9.5.0-cp312-cp312-win32.whl", hash = "sha256:22baf0c3cf0c7f26e82d6e1adf118027afb325e703922c8dfc1d5d0156bb2eeb"},
-    {file = "Pillow-9.5.0-cp312-cp312-win_amd64.whl", hash = "sha256:432b975c009cf649420615388561c0ce7cc31ce9b2e374db659ee4f7d57a1f8b"},
-    {file = "Pillow-9.5.0-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:5d4ebf8e1db4441a55c509c4baa7a0587a0210f7cd25fcfe74dbbce7a4bd1906"},
-    {file = "Pillow-9.5.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:375f6e5ee9620a271acb6820b3d1e94ffa8e741c0601db4c0c4d3cb0a9c224bf"},
-    {file = "Pillow-9.5.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:99eb6cafb6ba90e436684e08dad8be1637efb71c4f2180ee6b8f940739406e78"},
-    {file = "Pillow-9.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2dfaaf10b6172697b9bceb9a3bd7b951819d1ca339a5ef294d1f1ac6d7f63270"},
-    {file = "Pillow-9.5.0-cp37-cp37m-manylinux_2_28_aarch64.whl", hash = "sha256:763782b2e03e45e2c77d7779875f4432e25121ef002a41829d8868700d119392"},
-    {file = "Pillow-9.5.0-cp37-cp37m-manylinux_2_28_x86_64.whl", hash = "sha256:35f6e77122a0c0762268216315bf239cf52b88865bba522999dc38f1c52b9b47"},
-    {file = "Pillow-9.5.0-cp37-cp37m-win32.whl", hash = "sha256:aca1c196f407ec7cf04dcbb15d19a43c507a81f7ffc45b690899d6a76ac9fda7"},
-    {file = "Pillow-9.5.0-cp37-cp37m-win_amd64.whl", hash = "sha256:322724c0032af6692456cd6ed554bb85f8149214d97398bb80613b04e33769f6"},
-    {file = "Pillow-9.5.0-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:a0aa9417994d91301056f3d0038af1199eb7adc86e646a36b9e050b06f526597"},
-    {file = "Pillow-9.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f8286396b351785801a976b1e85ea88e937712ee2c3ac653710a4a57a8da5d9c"},
-    {file = "Pillow-9.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c830a02caeb789633863b466b9de10c015bded434deb3ec87c768e53752ad22a"},
-    {file = "Pillow-9.5.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fbd359831c1657d69bb81f0db962905ee05e5e9451913b18b831febfe0519082"},
-    {file = "Pillow-9.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8fc330c3370a81bbf3f88557097d1ea26cd8b019d6433aa59f71195f5ddebbf"},
-    {file = "Pillow-9.5.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:7002d0797a3e4193c7cdee3198d7c14f92c0836d6b4a3f3046a64bd1ce8df2bf"},
-    {file = "Pillow-9.5.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:229e2c79c00e85989a34b5981a2b67aa079fd08c903f0aaead522a1d68d79e51"},
-    {file = "Pillow-9.5.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:9adf58f5d64e474bed00d69bcd86ec4bcaa4123bfa70a65ce72e424bfb88ed96"},
-    {file = "Pillow-9.5.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:662da1f3f89a302cc22faa9f14a262c2e3951f9dbc9617609a47521c69dd9f8f"},
-    {file = "Pillow-9.5.0-cp38-cp38-win32.whl", hash = "sha256:6608ff3bf781eee0cd14d0901a2b9cc3d3834516532e3bd673a0a204dc8615fc"},
-    {file = "Pillow-9.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:e49eb4e95ff6fd7c0c402508894b1ef0e01b99a44320ba7d8ecbabefddcc5569"},
-    {file = "Pillow-9.5.0-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:482877592e927fd263028c105b36272398e3e1be3269efda09f6ba21fd83ec66"},
-    {file = "Pillow-9.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3ded42b9ad70e5f1754fb7c2e2d6465a9c842e41d178f262e08b8c85ed8a1d8e"},
-    {file = "Pillow-9.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c446d2245ba29820d405315083d55299a796695d747efceb5717a8b450324115"},
-    {file = "Pillow-9.5.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8aca1152d93dcc27dc55395604dcfc55bed5f25ef4c98716a928bacba90d33a3"},
-    {file = "Pillow-9.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:608488bdcbdb4ba7837461442b90ea6f3079397ddc968c31265c1e056964f1ef"},
-    {file = "Pillow-9.5.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:60037a8db8750e474af7ffc9faa9b5859e6c6d0a50e55c45576bf28be7419705"},
-    {file = "Pillow-9.5.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:07999f5834bdc404c442146942a2ecadd1cb6292f5229f4ed3b31e0a108746b1"},
-    {file = "Pillow-9.5.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a127ae76092974abfbfa38ca2d12cbeddcdeac0fb71f9627cc1135bedaf9d51a"},
-    {file = "Pillow-9.5.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:489f8389261e5ed43ac8ff7b453162af39c3e8abd730af8363587ba64bb2e865"},
-    {file = "Pillow-9.5.0-cp39-cp39-win32.whl", hash = "sha256:9b1af95c3a967bf1da94f253e56b6286b50af23392a886720f563c547e48e964"},
-    {file = "Pillow-9.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:77165c4a5e7d5a284f10a6efaa39a0ae8ba839da344f20b111d62cc932fa4e5d"},
-    {file = "Pillow-9.5.0-pp38-pypy38_pp73-macosx_10_10_x86_64.whl", hash = "sha256:833b86a98e0ede388fa29363159c9b1a294b0905b5128baf01db683672f230f5"},
-    {file = "Pillow-9.5.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aaf305d6d40bd9632198c766fb64f0c1a83ca5b667f16c1e79e1661ab5060140"},
-    {file = "Pillow-9.5.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0852ddb76d85f127c135b6dd1f0bb88dbb9ee990d2cd9aa9e28526c93e794fba"},
-    {file = "Pillow-9.5.0-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:91ec6fe47b5eb5a9968c79ad9ed78c342b1f97a091677ba0e012701add857829"},
-    {file = "Pillow-9.5.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:cb841572862f629b99725ebaec3287fc6d275be9b14443ea746c1dd325053cbd"},
-    {file = "Pillow-9.5.0-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:c380b27d041209b849ed246b111b7c166ba36d7933ec6e41175fd15ab9eb1572"},
-    {file = "Pillow-9.5.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7c9af5a3b406a50e313467e3565fc99929717f780164fe6fbb7704edba0cebbe"},
-    {file = "Pillow-9.5.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5671583eab84af046a397d6d0ba25343c00cd50bce03787948e0fff01d4fd9b1"},
-    {file = "Pillow-9.5.0-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:84a6f19ce086c1bf894644b43cd129702f781ba5751ca8572f08aa40ef0ab7b7"},
-    {file = "Pillow-9.5.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:1e7723bd90ef94eda669a3c2c19d549874dd5badaeefabefd26053304abe5799"},
-    {file = "Pillow-9.5.0.tar.gz", hash = "sha256:bf548479d336726d7a0eceb6e767e179fbde37833ae42794602631a070d630f1"},
+    {file = "Pillow-10.0.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:8f06be50669087250f319b706decf69ca71fdecd829091a37cc89398ca4dc17a"},
+    {file = "Pillow-10.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:50bd5f1ebafe9362ad622072a1d2f5850ecfa44303531ff14353a4059113b12d"},
+    {file = "Pillow-10.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e6a90167bcca1216606223a05e2cf991bb25b14695c518bc65639463d7db722d"},
+    {file = "Pillow-10.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f11c9102c56ffb9ca87134bd025a43d2aba3f1155f508eff88f694b33a9c6d19"},
+    {file = "Pillow-10.0.1-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:186f7e04248103482ea6354af6d5bcedb62941ee08f7f788a1c7707bc720c66f"},
+    {file = "Pillow-10.0.1-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:0462b1496505a3462d0f35dc1c4d7b54069747d65d00ef48e736acda2c8cbdff"},
+    {file = "Pillow-10.0.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d889b53ae2f030f756e61a7bff13684dcd77e9af8b10c6048fb2c559d6ed6eaf"},
+    {file = "Pillow-10.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:552912dbca585b74d75279a7570dd29fa43b6d93594abb494ebb31ac19ace6bd"},
+    {file = "Pillow-10.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:787bb0169d2385a798888e1122c980c6eff26bf941a8ea79747d35d8f9210ca0"},
+    {file = "Pillow-10.0.1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:fd2a5403a75b54661182b75ec6132437a181209b901446ee5724b589af8edef1"},
+    {file = "Pillow-10.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2d7e91b4379f7a76b31c2dda84ab9e20c6220488e50f7822e59dac36b0cd92b1"},
+    {file = "Pillow-10.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:19e9adb3f22d4c416e7cd79b01375b17159d6990003633ff1d8377e21b7f1b21"},
+    {file = "Pillow-10.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:93139acd8109edcdeffd85e3af8ae7d88b258b3a1e13a038f542b79b6d255c54"},
+    {file = "Pillow-10.0.1-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:92a23b0431941a33242b1f0ce6c88a952e09feeea9af4e8be48236a68ffe2205"},
+    {file = "Pillow-10.0.1-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:cbe68deb8580462ca0d9eb56a81912f59eb4542e1ef8f987405e35a0179f4ea2"},
+    {file = "Pillow-10.0.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:522ff4ac3aaf839242c6f4e5b406634bfea002469656ae8358644fc6c4856a3b"},
+    {file = "Pillow-10.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:84efb46e8d881bb06b35d1d541aa87f574b58e87f781cbba8d200daa835b42e1"},
+    {file = "Pillow-10.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:898f1d306298ff40dc1b9ca24824f0488f6f039bc0e25cfb549d3195ffa17088"},
+    {file = "Pillow-10.0.1-cp312-cp312-macosx_10_10_x86_64.whl", hash = "sha256:bcf1207e2f2385a576832af02702de104be71301c2696d0012b1b93fe34aaa5b"},
+    {file = "Pillow-10.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5d6c9049c6274c1bb565021367431ad04481ebb54872edecfcd6088d27edd6ed"},
+    {file = "Pillow-10.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28444cb6ad49726127d6b340217f0627abc8732f1194fd5352dec5e6a0105635"},
+    {file = "Pillow-10.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:de596695a75496deb3b499c8c4f8e60376e0516e1a774e7bc046f0f48cd620ad"},
+    {file = "Pillow-10.0.1-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:2872f2d7846cf39b3dbff64bc1104cc48c76145854256451d33c5faa55c04d1a"},
+    {file = "Pillow-10.0.1-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:4ce90f8a24e1c15465048959f1e94309dfef93af272633e8f37361b824532e91"},
+    {file = "Pillow-10.0.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ee7810cf7c83fa227ba9125de6084e5e8b08c59038a7b2c9045ef4dde61663b4"},
+    {file = "Pillow-10.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:b1be1c872b9b5fcc229adeadbeb51422a9633abd847c0ff87dc4ef9bb184ae08"},
+    {file = "Pillow-10.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:98533fd7fa764e5f85eebe56c8e4094db912ccbe6fbf3a58778d543cadd0db08"},
+    {file = "Pillow-10.0.1-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:764d2c0daf9c4d40ad12fbc0abd5da3af7f8aa11daf87e4fa1b834000f4b6b0a"},
+    {file = "Pillow-10.0.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:fcb59711009b0168d6ee0bd8fb5eb259c4ab1717b2f538bbf36bacf207ef7a68"},
+    {file = "Pillow-10.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:697a06bdcedd473b35e50a7e7506b1d8ceb832dc238a336bd6f4f5aa91a4b500"},
+    {file = "Pillow-10.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f665d1e6474af9f9da5e86c2a3a2d2d6204e04d5af9c06b9d42afa6ebde3f21"},
+    {file = "Pillow-10.0.1-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:2fa6dd2661838c66f1a5473f3b49ab610c98a128fc08afbe81b91a1f0bf8c51d"},
+    {file = "Pillow-10.0.1-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:3a04359f308ebee571a3127fdb1bd01f88ba6f6fb6d087f8dd2e0d9bff43f2a7"},
+    {file = "Pillow-10.0.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:723bd25051454cea9990203405fa6b74e043ea76d4968166dfd2569b0210886a"},
+    {file = "Pillow-10.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:71671503e3015da1b50bd18951e2f9daf5b6ffe36d16f1eb2c45711a301521a7"},
+    {file = "Pillow-10.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:44e7e4587392953e5e251190a964675f61e4dae88d1e6edbe9f36d6243547ff3"},
+    {file = "Pillow-10.0.1-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:3855447d98cced8670aaa63683808df905e956f00348732448b5a6df67ee5849"},
+    {file = "Pillow-10.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ed2d9c0704f2dc4fa980b99d565c0c9a543fe5101c25b3d60488b8ba80f0cce1"},
+    {file = "Pillow-10.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f5bb289bb835f9fe1a1e9300d011eef4d69661bb9b34d5e196e5e82c4cb09b37"},
+    {file = "Pillow-10.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3a0d3e54ab1df9df51b914b2233cf779a5a10dfd1ce339d0421748232cea9876"},
+    {file = "Pillow-10.0.1-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:2cc6b86ece42a11f16f55fe8903595eff2b25e0358dec635d0a701ac9586588f"},
+    {file = "Pillow-10.0.1-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:ca26ba5767888c84bf5a0c1a32f069e8204ce8c21d00a49c90dabeba00ce0145"},
+    {file = "Pillow-10.0.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:f0b4b06da13275bc02adfeb82643c4a6385bd08d26f03068c2796f60d125f6f2"},
+    {file = "Pillow-10.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bc2e3069569ea9dbe88d6b8ea38f439a6aad8f6e7a6283a38edf61ddefb3a9bf"},
+    {file = "Pillow-10.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:8b451d6ead6e3500b6ce5c7916a43d8d8d25ad74b9102a629baccc0808c54971"},
+    {file = "Pillow-10.0.1-pp310-pypy310_pp73-macosx_10_10_x86_64.whl", hash = "sha256:32bec7423cdf25c9038fef614a853c9d25c07590e1a870ed471f47fb80b244db"},
+    {file = "Pillow-10.0.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7cf63d2c6928b51d35dfdbda6f2c1fddbe51a6bc4a9d4ee6ea0e11670dd981e"},
+    {file = "Pillow-10.0.1-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f6d3d4c905e26354e8f9d82548475c46d8e0889538cb0657aa9c6f0872a37aa4"},
+    {file = "Pillow-10.0.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:847e8d1017c741c735d3cd1883fa7b03ded4f825a6e5fcb9378fd813edee995f"},
+    {file = "Pillow-10.0.1-pp39-pypy39_pp73-macosx_10_10_x86_64.whl", hash = "sha256:7f771e7219ff04b79e231d099c0a28ed83aa82af91fd5fa9fdb28f5b8d5addaf"},
+    {file = "Pillow-10.0.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:459307cacdd4138edee3875bbe22a2492519e060660eaf378ba3b405d1c66317"},
+    {file = "Pillow-10.0.1-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:b059ac2c4c7a97daafa7dc850b43b2d3667def858a4f112d1aa082e5c3d6cf7d"},
+    {file = "Pillow-10.0.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:d6caf3cd38449ec3cd8a68b375e0c6fe4b6fd04edb6c9766b55ef84a6e8ddf2d"},
+    {file = "Pillow-10.0.1.tar.gz", hash = "sha256:d72967b06be9300fed5cfbc8b5bafceec48bf7cdc7dab66b1d2549035287191d"},
 ]
 
 [package.extras]
@@ -639,13 +787,13 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
 
 [[package]]
 name = "pluggy"
-version = "1.2.0"
+version = "1.3.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pluggy-1.2.0-py3-none-any.whl", hash = "sha256:c2fd55a7d7a3863cba1a013e4e2414658b1d07b6bc57b3919e0c63c9abb99849"},
-    {file = "pluggy-1.2.0.tar.gz", hash = "sha256:d12f0c4b579b15f5e054301bb226ee85eeeba08ffec228092f8defbaa3a4c4b3"},
+    {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"},
+    {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"},
 ]
 
 [package.extras]
@@ -654,36 +802,40 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pyarrow"
-version = "12.0.1"
+version = "13.0.0"
 description = "Python library for Apache Arrow"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pyarrow-12.0.1-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:6d288029a94a9bb5407ceebdd7110ba398a00412c5b0155ee9813a40d246c5df"},
-    {file = "pyarrow-12.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:345e1828efdbd9aa4d4de7d5676778aba384a2c3add896d995b23d368e60e5af"},
-    {file = "pyarrow-12.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8d6009fdf8986332b2169314da482baed47ac053311c8934ac6651e614deacd6"},
-    {file = "pyarrow-12.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2d3c4cbbf81e6dd23fe921bc91dc4619ea3b79bc58ef10bce0f49bdafb103daf"},
-    {file = "pyarrow-12.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:cdacf515ec276709ac8042c7d9bd5be83b4f5f39c6c037a17a60d7ebfd92c890"},
-    {file = "pyarrow-12.0.1-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:749be7fd2ff260683f9cc739cb862fb11be376de965a2a8ccbf2693b098db6c7"},
-    {file = "pyarrow-12.0.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6895b5fb74289d055c43db3af0de6e16b07586c45763cb5e558d38b86a91e3a7"},
-    {file = "pyarrow-12.0.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1887bdae17ec3b4c046fcf19951e71b6a619f39fa674f9881216173566c8f718"},
-    {file = "pyarrow-12.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e2c9cb8eeabbadf5fcfc3d1ddea616c7ce893db2ce4dcef0ac13b099ad7ca082"},
-    {file = "pyarrow-12.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:ce4aebdf412bd0eeb800d8e47db854f9f9f7e2f5a0220440acf219ddfddd4f63"},
-    {file = "pyarrow-12.0.1-cp37-cp37m-macosx_10_14_x86_64.whl", hash = "sha256:e0d8730c7f6e893f6db5d5b86eda42c0a130842d101992b581e2138e4d5663d3"},
-    {file = "pyarrow-12.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:43364daec02f69fec89d2315f7fbfbeec956e0d991cbbef471681bd77875c40f"},
-    {file = "pyarrow-12.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:051f9f5ccf585f12d7de836e50965b3c235542cc896959320d9776ab93f3b33d"},
-    {file = "pyarrow-12.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:be2757e9275875d2a9c6e6052ac7957fbbfc7bc7370e4a036a9b893e96fedaba"},
-    {file = "pyarrow-12.0.1-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:cf812306d66f40f69e684300f7af5111c11f6e0d89d6b733e05a3de44961529d"},
-    {file = "pyarrow-12.0.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:459a1c0ed2d68671188b2118c63bac91eaef6fc150c77ddd8a583e3c795737bf"},
-    {file = "pyarrow-12.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85e705e33eaf666bbe508a16fd5ba27ca061e177916b7a317ba5a51bee43384c"},
-    {file = "pyarrow-12.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9120c3eb2b1f6f516a3b7a9714ed860882d9ef98c4b17edcdc91d95b7528db60"},
-    {file = "pyarrow-12.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:c780f4dc40460015d80fcd6a6140de80b615349ed68ef9adb653fe351778c9b3"},
-    {file = "pyarrow-12.0.1-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:a3c63124fc26bf5f95f508f5d04e1ece8cc23a8b0af2a1e6ab2b1ec3fdc91b24"},
-    {file = "pyarrow-12.0.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:b13329f79fa4472324f8d32dc1b1216616d09bd1e77cfb13104dec5463632c36"},
-    {file = "pyarrow-12.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bb656150d3d12ec1396f6dde542db1675a95c0cc8366d507347b0beed96e87ca"},
-    {file = "pyarrow-12.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6251e38470da97a5b2e00de5c6a049149f7b2bd62f12fa5dbb9ac674119ba71a"},
-    {file = "pyarrow-12.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:3de26da901216149ce086920547dfff5cd22818c9eab67ebc41e863a5883bac7"},
-    {file = "pyarrow-12.0.1.tar.gz", hash = "sha256:cce317fc96e5b71107bf1f9f184d5e54e2bd14bbf3f9a3d62819961f0af86fec"},
+    {file = "pyarrow-13.0.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:1afcc2c33f31f6fb25c92d50a86b7a9f076d38acbcb6f9e74349636109550148"},
+    {file = "pyarrow-13.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:70fa38cdc66b2fc1349a082987f2b499d51d072faaa6b600f71931150de2e0e3"},
+    {file = "pyarrow-13.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd57b13a6466822498238877892a9b287b0a58c2e81e4bdb0b596dbb151cbb73"},
+    {file = "pyarrow-13.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8ce69f7bf01de2e2764e14df45b8404fc6f1a5ed9871e8e08a12169f87b7a26"},
+    {file = "pyarrow-13.0.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:588f0d2da6cf1b1680974d63be09a6530fd1bd825dc87f76e162404779a157dc"},
+    {file = "pyarrow-13.0.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:6241afd72b628787b4abea39e238e3ff9f34165273fad306c7acf780dd850956"},
+    {file = "pyarrow-13.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:fda7857e35993673fcda603c07d43889fca60a5b254052a462653f8656c64f44"},
+    {file = "pyarrow-13.0.0-cp311-cp311-macosx_10_14_x86_64.whl", hash = "sha256:aac0ae0146a9bfa5e12d87dda89d9ef7c57a96210b899459fc2f785303dcbb67"},
+    {file = "pyarrow-13.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d7759994217c86c161c6a8060509cfdf782b952163569606bb373828afdd82e8"},
+    {file = "pyarrow-13.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:868a073fd0ff6468ae7d869b5fc1f54de5c4255b37f44fb890385eb68b68f95d"},
+    {file = "pyarrow-13.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:51be67e29f3cfcde263a113c28e96aa04362ed8229cb7c6e5f5c719003659d33"},
+    {file = "pyarrow-13.0.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:d1b4e7176443d12610874bb84d0060bf080f000ea9ed7c84b2801df851320295"},
+    {file = "pyarrow-13.0.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:69b6f9a089d116a82c3ed819eea8fe67dae6105f0d81eaf0fdd5e60d0c6e0944"},
+    {file = "pyarrow-13.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:ab1268db81aeb241200e321e220e7cd769762f386f92f61b898352dd27e402ce"},
+    {file = "pyarrow-13.0.0-cp38-cp38-macosx_10_14_x86_64.whl", hash = "sha256:ee7490f0f3f16a6c38f8c680949551053c8194e68de5046e6c288e396dccee80"},
+    {file = "pyarrow-13.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e3ad79455c197a36eefbd90ad4aa832bece7f830a64396c15c61a0985e337287"},
+    {file = "pyarrow-13.0.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68fcd2dc1b7d9310b29a15949cdd0cb9bc34b6de767aff979ebf546020bf0ba0"},
+    {file = "pyarrow-13.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dc6fd330fd574c51d10638e63c0d00ab456498fc804c9d01f2a61b9264f2c5b2"},
+    {file = "pyarrow-13.0.0-cp38-cp38-manylinux_2_28_aarch64.whl", hash = "sha256:e66442e084979a97bb66939e18f7b8709e4ac5f887e636aba29486ffbf373763"},
+    {file = "pyarrow-13.0.0-cp38-cp38-manylinux_2_28_x86_64.whl", hash = "sha256:0f6eff839a9e40e9c5610d3ff8c5bdd2f10303408312caf4c8003285d0b49565"},
+    {file = "pyarrow-13.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:8b30a27f1cddf5c6efcb67e598d7823a1e253d743d92ac32ec1eb4b6a1417867"},
+    {file = "pyarrow-13.0.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:09552dad5cf3de2dc0aba1c7c4b470754c69bd821f5faafc3d774bedc3b04bb7"},
+    {file = "pyarrow-13.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3896ae6c205d73ad192d2fc1489cd0edfab9f12867c85b4c277af4d37383c18c"},
+    {file = "pyarrow-13.0.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6647444b21cb5e68b593b970b2a9a07748dd74ea457c7dadaa15fd469c48ada1"},
+    {file = "pyarrow-13.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47663efc9c395e31d09c6aacfa860f4473815ad6804311c5433f7085415d62a7"},
+    {file = "pyarrow-13.0.0-cp39-cp39-manylinux_2_28_aarch64.whl", hash = "sha256:b9ba6b6d34bd2563345488cf444510588ea42ad5613df3b3509f48eb80250afd"},
+    {file = "pyarrow-13.0.0-cp39-cp39-manylinux_2_28_x86_64.whl", hash = "sha256:d00d374a5625beeb448a7fa23060df79adb596074beb3ddc1838adb647b6ef09"},
+    {file = "pyarrow-13.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:c51afd87c35c8331b56f796eff954b9c7f8d4b7fef5903daf4e05fcf017d23a8"},
+    {file = "pyarrow-13.0.0.tar.gz", hash = "sha256:83333726e83ed44b0ac94d8d7a21bbdee4a05029c3b1e8db58a863eec8fd8a33"},
 ]
 
 [package.dependencies]
@@ -691,35 +843,34 @@ numpy = ">=1.16.6"
 
 [[package]]
 name = "pylance"
-version = "0.5.9"
+version = "0.5.10"
 description = "python wrapper for lance-rs"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pylance-0.5.9-cp38-abi3-macosx_10_15_x86_64.whl", hash = "sha256:6d5395f8a400caa152b9dc8d1f979b67c3003cbe54e038a53b33127f9a0c96da"},
-    {file = "pylance-0.5.9-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:b099a7fa01a96dc6a3d7413890a3c06c6837563100f6e71311916dbd24f1b26e"},
-    {file = "pylance-0.5.9-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:293520fada417e653085118d296ba011024ad0cfbbb1e60ee025b14aae2c0178"},
-    {file = "pylance-0.5.9-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:22bbb04024302996268bef98e190d62960f62293e2b5606be276d801cdfb13f3"},
-    {file = "pylance-0.5.9-cp38-abi3-win_amd64.whl", hash = "sha256:810d4020a65b8d001352cc69c751602412f73c498b1ac0cdb408f00cb493a2b6"},
+    {file = "pylance-0.5.10-cp38-abi3-macosx_10_15_x86_64.whl", hash = "sha256:ca5b649fe3adfacaec7680c708fc3a952f6d8b43fd193afdfc5f3e8e13c47b82"},
+    {file = "pylance-0.5.10-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:a5b47ca4cf91709f0f7cd9f9604c6c9c6efc031f38035c27a7d0a21d9b83f507"},
+    {file = "pylance-0.5.10-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9ffa28a110345a6ce191285171b70a13696aa92cb4c1d6318d5444df65ab8025"},
+    {file = "pylance-0.5.10-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d0244faa5b039d6bb0e00d8f27222542c0e86bbf9128b6d8db9e5072ec0ea19"},
+    {file = "pylance-0.5.10-cp38-abi3-win_amd64.whl", hash = "sha256:92727d6a8f383f16a8e5503d41e2212881fe829b493f6f6aec202c2c7dce7d65"},
 ]
 
 [package.dependencies]
 numpy = ">=1.22"
-pandas = ">=1.4"
 pyarrow = ">=10"
 
 [package.extras]
-tests = ["duckdb", "ml_dtypes", "polars[pandas,pyarrow]", "pytest"]
+tests = ["duckdb", "ml_dtypes", "pandas (>=1.4)", "polars[pandas,pyarrow]", "pytest", "tensorflow"]
 
 [[package]]
 name = "pyparsing"
-version = "3.0.9"
+version = "3.1.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.6.8"
 files = [
-    {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
-    {file = "pyparsing-3.0.9.tar.gz", hash = "sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb"},
+    {file = "pyparsing-3.1.1-py3-none-any.whl", hash = "sha256:32c7c0b711493c72ff18a981d24f28aaf9c1fb7ed5e9667c9e84e3db623bdbfb"},
+    {file = "pyparsing-3.1.1.tar.gz", hash = "sha256:ede28a1a32462f5a9705e07aea48001a08f7cf81a021585011deba701581a0db"},
 ]
 
 [package.extras]
@@ -727,13 +878,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pytest"
-version = "7.4.0"
+version = "7.4.2"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pytest-7.4.0-py3-none-any.whl", hash = "sha256:78bf16451a2eb8c7a2ea98e32dc119fd2aa758f1d5d66dbf0a59d69a3969df32"},
-    {file = "pytest-7.4.0.tar.gz", hash = "sha256:b4bf8c45bd59934ed84001ad51e11b4ee40d40a1229d2c79f9c592b0a3f6bd8a"},
+    {file = "pytest-7.4.2-py3-none-any.whl", hash = "sha256:1d881c6124e08ff0a1bb75ba3ec0bfd8b5354a01c194ddd5a0a870a48d99b002"},
+    {file = "pytest-7.4.2.tar.gz", hash = "sha256:a766259cfab564a2ad52cb1aae1b881a75c3eb7e34ca3779697c23ed47c47069"},
 ]
 
 [package.dependencies]
@@ -796,13 +947,13 @@ six = ">=1.5"
 
 [[package]]
 name = "pytz"
-version = "2023.3"
+version = "2023.3.post1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
-    {file = "pytz-2023.3-py2.py3-none-any.whl", hash = "sha256:a151b3abb88eda1d4e34a9814df37de2a80e301e68ba0fd856fb9b46bfbbbffb"},
-    {file = "pytz-2023.3.tar.gz", hash = "sha256:1d8ce29db189191fb55338ee6d0387d82ab59f3d00eac103412d64e0ebd0c588"},
+    {file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"},
+    {file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
 ]
 
 [[package]]
@@ -827,45 +978,45 @@ xlrd = "*"
 
 [[package]]
 name = "scikit-learn"
-version = "1.2.2"
+version = "1.3.1"
 description = "A set of python modules for machine learning and data mining"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "scikit-learn-1.2.2.tar.gz", hash = "sha256:8429aea30ec24e7a8c7ed8a3fa6213adf3814a6efbea09e16e0a0c71e1a1a3d7"},
-    {file = "scikit_learn-1.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99cc01184e347de485bf253d19fcb3b1a3fb0ee4cea5ee3c43ec0cc429b6d29f"},
-    {file = "scikit_learn-1.2.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e6e574db9914afcb4e11ade84fab084536a895ca60aadea3041e85b8ac963edb"},
-    {file = "scikit_learn-1.2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fe83b676f407f00afa388dd1fdd49e5c6612e551ed84f3b1b182858f09e987d"},
-    {file = "scikit_learn-1.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e2642baa0ad1e8f8188917423dd73994bf25429f8893ddbe115be3ca3183584"},
-    {file = "scikit_learn-1.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ad66c3848c0a1ec13464b2a95d0a484fd5b02ce74268eaa7e0c697b904f31d6c"},
-    {file = "scikit_learn-1.2.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:dfeaf8be72117eb61a164ea6fc8afb6dfe08c6f90365bde2dc16456e4bc8e45f"},
-    {file = "scikit_learn-1.2.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:fe0aa1a7029ed3e1dcbf4a5bc675aa3b1bc468d9012ecf6c6f081251ca47f590"},
-    {file = "scikit_learn-1.2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:065e9673e24e0dc5113e2dd2b4ca30c9d8aa2fa90f4c0597241c93b63130d233"},
-    {file = "scikit_learn-1.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bf036ea7ef66115e0d49655f16febfa547886deba20149555a41d28f56fd6d3c"},
-    {file = "scikit_learn-1.2.2-cp311-cp311-win_amd64.whl", hash = "sha256:8b0670d4224a3c2d596fd572fb4fa673b2a0ccfb07152688ebd2ea0b8c61025c"},
-    {file = "scikit_learn-1.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9c710ff9f9936ba8a3b74a455ccf0dcf59b230caa1e9ba0223773c490cab1e51"},
-    {file = "scikit_learn-1.2.2-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:2dd3ffd3950e3d6c0c0ef9033a9b9b32d910c61bd06cb8206303fb4514b88a49"},
-    {file = "scikit_learn-1.2.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:44b47a305190c28dd8dd73fc9445f802b6ea716669cfc22ab1eb97b335d238b1"},
-    {file = "scikit_learn-1.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:953236889928d104c2ef14027539f5f2609a47ebf716b8cbe4437e85dce42744"},
-    {file = "scikit_learn-1.2.2-cp38-cp38-win_amd64.whl", hash = "sha256:7f69313884e8eb311460cc2f28676d5e400bd929841a2c8eb8742ae78ebf7c20"},
-    {file = "scikit_learn-1.2.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8156db41e1c39c69aa2d8599ab7577af53e9e5e7a57b0504e116cc73c39138dd"},
-    {file = "scikit_learn-1.2.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:fe175ee1dab589d2e1033657c5b6bec92a8a3b69103e3dd361b58014729975c3"},
-    {file = "scikit_learn-1.2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7d5312d9674bed14f73773d2acf15a3272639b981e60b72c9b190a0cffed5bad"},
-    {file = "scikit_learn-1.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea061bf0283bf9a9f36ea3c5d3231ba2176221bbd430abd2603b1c3b2ed85c89"},
-    {file = "scikit_learn-1.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:6477eed40dbce190f9f9e9d0d37e020815825b300121307942ec2110302b66a3"},
+    {file = "scikit-learn-1.3.1.tar.gz", hash = "sha256:1a231cced3ee3fa04756b4a7ab532dc9417acd581a330adff5f2c01ac2831fcf"},
+    {file = "scikit_learn-1.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:3153612ff8d36fa4e35ef8b897167119213698ea78f3fd130b4068e6f8d2da5a"},
+    {file = "scikit_learn-1.3.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:6bb9490fdb8e7e00f1354621689187bef3cab289c9b869688f805bf724434755"},
+    {file = "scikit_learn-1.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a7135a03af71138669f19bc96e7d0cc8081aed4b3565cc3b131135d65fc642ba"},
+    {file = "scikit_learn-1.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7d8dee8c1f40eeba49a85fe378bdf70a07bb64aba1a08fda1e0f48d27edfc3e6"},
+    {file = "scikit_learn-1.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:4d379f2b34096105a96bd857b88601dffe7389bd55750f6f29aaa37bc6272eb5"},
+    {file = "scikit_learn-1.3.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:14e8775eba072ab10866a7e0596bc9906873e22c4c370a651223372eb62de180"},
+    {file = "scikit_learn-1.3.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:58b0c2490eff8355dc26e884487bf8edaccf2ba48d09b194fb2f3a026dd64f9d"},
+    {file = "scikit_learn-1.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f66eddfda9d45dd6cadcd706b65669ce1df84b8549875691b1f403730bdef217"},
+    {file = "scikit_learn-1.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c6448c37741145b241eeac617028ba6ec2119e1339b1385c9720dae31367f2be"},
+    {file = "scikit_learn-1.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:c413c2c850241998168bbb3bd1bb59ff03b1195a53864f0b80ab092071af6028"},
+    {file = "scikit_learn-1.3.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:52b77cc08bd555969ec5150788ed50276f5ef83abb72e6f469c5b91a0009bbca"},
+    {file = "scikit_learn-1.3.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:a683394bc3f80b7c312c27f9b14ebea7766b1f0a34faf1a2e9158d80e860ec26"},
+    {file = "scikit_learn-1.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a15d964d9eb181c79c190d3dbc2fff7338786bf017e9039571418a1d53dab236"},
+    {file = "scikit_learn-1.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ce9233cdf0cdcf0858a5849d306490bf6de71fa7603a3835124e386e62f2311"},
+    {file = "scikit_learn-1.3.1-cp38-cp38-win_amd64.whl", hash = "sha256:1ec668ce003a5b3d12d020d2cde0abd64b262ac5f098b5c84cf9657deb9996a8"},
+    {file = "scikit_learn-1.3.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:ccbbedae99325628c1d1cbe3916b7ef58a1ce949672d8d39c8b190e10219fd32"},
+    {file = "scikit_learn-1.3.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:845f81c7ceb4ea6bac64ab1c9f2ce8bef0a84d0f21f3bece2126adcc213dfecd"},
+    {file = "scikit_learn-1.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8454d57a22d856f1fbf3091bd86f9ebd4bff89088819886dc0c72f47a6c30652"},
+    {file = "scikit_learn-1.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d993fb70a1d78c9798b8f2f28705bfbfcd546b661f9e2e67aa85f81052b9c53"},
+    {file = "scikit_learn-1.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:66f7bb1fec37d65f4ef85953e1df5d3c98a0f0141d394dcdaead5a6de9170347"},
 ]
 
 [package.dependencies]
 joblib = ">=1.1.1"
-numpy = ">=1.17.3"
-scipy = ">=1.3.2"
+numpy = ">=1.17.3,<2.0"
+scipy = ">=1.5.0"
 threadpoolctl = ">=2.0.0"
 
 [package.extras]
 benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
-docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
-examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
-tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.3)", "mypy (>=0.961)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=5.3.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.16.2)"]
+docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.10.1)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
+examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
+tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.16.2)"]
 
 [[package]]
 name = "scipy"
@@ -905,6 +1056,42 @@ dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
 doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
 test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
+[[package]]
+name = "setuptools"
+version = "68.2.2"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "setuptools-68.2.2-py3-none-any.whl", hash = "sha256:b454a35605876da60632df1a60f736524eb73cc47bbc9f3f1ef1b644de74fd2a"},
+    {file = "setuptools-68.2.2.tar.gz", hash = "sha256:4ac1475276d2f1c48684874089fefcd83bd7162ddaafb81fac866ba0db282a87"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+
+[[package]]
+name = "setuptools-scm"
+version = "8.0.3"
+description = "the blessed package to manage your versions by scm tags"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "setuptools-scm-8.0.3.tar.gz", hash = "sha256:0169fd70197efda2f8c4d0b2a7a3d614431b488116f37b79d031e9e7ec884d8c"},
+    {file = "setuptools_scm-8.0.3-py3-none-any.whl", hash = "sha256:813822234453438a13c78d05c8af29918fbc06f88efb33d38f065340bbb48c39"},
+]
+
+[package.dependencies]
+packaging = ">=20"
+setuptools = "*"
+
+[package.extras]
+docs = ["entangled-cli[rich]", "mkdocs", "mkdocs-entangled-plugin", "mkdocs-material", "mkdocstrings[python]", "pygments"]
+rich = ["rich"]
+test = ["pytest", "rich", "virtualenv (>20)"]
+
 [[package]]
 name = "six"
 version = "1.16.0"
@@ -918,31 +1105,31 @@ files = [
 
 [[package]]
 name = "threadpoolctl"
-version = "3.1.0"
+version = "3.2.0"
 description = "threadpoolctl"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "threadpoolctl-3.1.0-py3-none-any.whl", hash = "sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b"},
-    {file = "threadpoolctl-3.1.0.tar.gz", hash = "sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380"},
+    {file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"},
+    {file = "threadpoolctl-3.2.0.tar.gz", hash = "sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"},
 ]
 
 [[package]]
 name = "tqdm"
-version = "4.65.0"
+version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.65.0-py3-none-any.whl", hash = "sha256:c4f53a17fe37e132815abceec022631be8ffe1b9381c2e6e30aa70edc99e9671"},
-    {file = "tqdm-4.65.0.tar.gz", hash = "sha256:1871fb68a86b8fb3b59ca4cdd3dcccbc7e6d613eeed31f4c332531977b89beb5"},
+    {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
+    {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [package.extras]
-dev = ["py-make (>=0.1.0)", "twine", "wheel"]
+dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout", "pytest-xdist"]
 notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
diff --git a/pyproject.toml b/pyproject.toml
index 2f07619..9805ca9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,9 +13,8 @@ jinja2 = "^3.1.2"
 
 [tool.poetry.scripts]
 main = "quacc.main:main"
-multi = "quacc.main:estimate_multiclass"
-bin = "quacc.main:estimate_binary"
 comp = "quacc.main:estimate_comparison"
+tohost = "scp_sync:scp_sync_to_host"
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/quacc/data.py b/quacc/data.py
index df03086..1a0ae3f 100644
--- a/quacc/data.py
+++ b/quacc/data.py
@@ -1,4 +1,4 @@
-from typing import List, Optional, Self
+from typing import List, Optional
 
 import numpy as np
 import math
@@ -43,7 +43,7 @@ class ExtendedCollection(LabelledCollection):
     ):
         super().__init__(instances, labels, classes=classes)
 
-    def split_by_pred(self) -> List[Self]:
+    def split_by_pred(self):
         _ncl = int(math.sqrt(self.n_classes))
         _indexes = ExtendedCollection._split_index_by_pred(_ncl, self.instances)
         if isinstance(self.instances, np.ndarray):
@@ -129,7 +129,7 @@ class ExtendedCollection(LabelledCollection):
     @classmethod
     def extend_collection(
         cls, base: LabelledCollection, pred_proba: np.ndarray
-    ) -> Self:
+    ):
         n_classes = base.n_classes
 
         # n_X = [ X | predicted probs. ]
diff --git a/quacc/dataset.py b/quacc/dataset.py
index a844b82..a4e1735 100644
--- a/quacc/dataset.py
+++ b/quacc/dataset.py
@@ -7,18 +7,23 @@ from sklearn.conftest import fetch_rcv1
 TRAIN_VAL_PROP = 0.5
 
 
-def get_imdb() -> Tuple[LabelledCollection]:
+def get_imdb(**kwargs) -> Tuple[LabelledCollection]:
     train, test = qp.datasets.fetch_reviews("imdb", tfidf=True).train_test
-    train, validation = train.split_stratified(train_prop=TRAIN_VAL_PROP)
+    train, validation = train.split_stratified(
+        train_prop=TRAIN_VAL_PROP, random_state=0
+    )
     return train, validation, test
 
 
-def get_spambase() -> Tuple[LabelledCollection]:
+def get_spambase(**kwargs) -> Tuple[LabelledCollection]:
     train, test = qp.datasets.fetch_UCIDataset("spambase", verbose=False).train_test
-    train, validation = train.split_stratified(train_prop=TRAIN_VAL_PROP)
+    train, validation = train.split_stratified(
+        train_prop=TRAIN_VAL_PROP, random_state=0
+    )
     return train, validation, test
 
-# >>> fetch_rcv1().target_names                  
+
+# >>> fetch_rcv1().target_names
 # array(['C11', 'C12', 'C13', 'C14', 'C15', 'C151', 'C1511', 'C152', 'C16',
 #        'C17', 'C171', 'C172', 'C173', 'C174', 'C18', 'C181', 'C182',
 #        'C183', 'C21', 'C22', 'C23', 'C24', 'C31', 'C311', 'C312', 'C313',
@@ -33,11 +38,15 @@ def get_spambase() -> Tuple[LabelledCollection]:
 #        'GWELF', 'M11', 'M12', 'M13', 'M131', 'M132', 'M14', 'M141',
 #        'M142', 'M143', 'MCAT'], dtype=object)
 
-def get_rcv1(target:str):
+
+def get_rcv1(target = "default", **kwargs):
     sample_size = qp.environ["SAMPLE_SIZE"]
     n_train = 23149
     dataset = fetch_rcv1()
 
+    if target == "default":
+        target = "C12"
+
     if target not in dataset.target_names:
         raise ValueError("Invalid target")
 
@@ -46,7 +55,9 @@ def get_rcv1(target:str):
         all_train_l, test_l = labels[:n_train], labels[n_train:]
         all_train = LabelledCollection(all_train_d, all_train_l, classes=classes)
         test = LabelledCollection(test_d, test_l, classes=classes)
-        train, validation = all_train.split_stratified(train_prop=TRAIN_VAL_PROP)
+        train, validation = all_train.split_stratified(
+            train_prop=TRAIN_VAL_PROP, random_state=0
+        )
         return train, validation, test
 
     target_index = np.where(dataset.target_names == target)[0]
@@ -58,4 +69,3 @@ def get_rcv1(target:str):
     d = dataset_split(dataset.data, target_labels, classes=[0, 1])
 
     return d
-
diff --git a/quacc/error.py b/quacc/error.py
index dfd19bd..116cc42 100644
--- a/quacc/error.py
+++ b/quacc/error.py
@@ -24,12 +24,12 @@ def from_name(err_name):
 def f1(prev):
     den = (2*prev[3]) + prev[1] + prev[2]
     if den == 0:
-        return 1.0
+        return 0.0
     else:
         return (2*prev[3])/den
 
 def f1e(prev):
     return 1 - f1(prev)
 
-def mae(prev):
+def acc(prev):
     return (prev[1] + prev[2]) / sum(prev)
\ No newline at end of file
diff --git a/quacc/evaluation.py b/quacc/evaluation.py
deleted file mode 100644
index deae980..0000000
--- a/quacc/evaluation.py
+++ /dev/null
@@ -1,149 +0,0 @@
-import itertools
-from quapy.protocol import (
-    OnLabelledCollectionProtocol,
-    AbstractStochasticSeededProtocol,
-)
-from typing import Iterable, Callable, Union
-
-from .estimator import AccuracyEstimator
-import pandas as pd
-import numpy as np
-import quacc.error as error
-import statistics as stats
-
-
-def estimate(
-    estimator: AccuracyEstimator,
-    protocol: AbstractStochasticSeededProtocol,
-):
-    # ensure that the protocol returns a LabelledCollection for each iteration
-    protocol.collator = OnLabelledCollectionProtocol.get_collator("labelled_collection")
-
-    base_prevs, true_prevs, estim_prevs = [], [], []
-    for sample in protocol():
-        e_sample = estimator.extend(sample)
-        estim_prev = estimator.estimate(e_sample.X, ext=True)
-        base_prevs.append(sample.prevalence())
-        true_prevs.append(e_sample.prevalence())
-        estim_prevs.append(estim_prev)
-
-    return base_prevs, true_prevs, estim_prevs
-
-
-def avg_groupby_distribution(lst, error_names):
-    def _bprev(s):
-        return (s[("base", "F")], s[("base", "T")])
-
-    def _normalize_prev(r):
-        for prev_name in ["true", "estim"]:
-            raw_prev = [v for ((k0, k1), v) in r.items() if k0 == prev_name]
-            norm_prev = [v / sum(raw_prev) for v in raw_prev]
-            for n, v in zip(
-                itertools.product([prev_name], ["TN", "FP", "FN", "TP"]), norm_prev
-            ):
-                r[n] = v
-        return r
-
-    current_bprev = _bprev(lst[0])
-    bprev_cnt = 0
-    g_lst = [[]]
-    for s in lst:
-        if _bprev(s) == current_bprev:
-            g_lst[bprev_cnt].append(s)
-        else:
-            g_lst.append([])
-            bprev_cnt += 1
-            current_bprev = _bprev(s)
-            g_lst[bprev_cnt].append(s)
-
-    r_lst = []
-    for gs in g_lst:
-        assert len(gs) > 0
-        r = {}
-        r[("base", "F")], r[("base", "T")] = _bprev(gs[0])
-
-        for pn in [(n1, n2) for ((n1, n2), _) in gs[0].items() if n1 != "base"]:
-            r[pn] = stats.mean(map(lambda s: s[pn], gs))
-
-        r = _normalize_prev(r)
-
-        for en in itertools.product(["errors"], error_names):
-            r[en] = stats.mean(map(lambda s: s[en], gs))
-
-        r_lst.append(r)
-
-    return r_lst
-
-
-def evaluation_report(
-    estimator: AccuracyEstimator,
-    protocol: AbstractStochasticSeededProtocol,
-    error_metrics: Iterable[Union[str, Callable]] = "all",
-    aggregate: bool = True,
-    prevalence: bool = True,
-):
-    def _report_columns(err_names):
-        base_cols = list(itertools.product(["base"], ["F", "T"]))
-        prev_cols = list(itertools.product(["true", "estim"], ["TN", "FP", "FN", "TP"]))
-        err_cols = list(itertools.product(["errors"], err_names))
-        return base_cols, prev_cols, err_cols
-
-    base_prevs, true_prevs, estim_prevs = estimate(estimator, protocol)
-
-    if error_metrics == "all":
-        error_metrics = ["mae", "f1"]
-
-    error_funcs = [
-        error.from_name(e) if isinstance(e, str) else e for e in error_metrics
-    ]
-    assert all(hasattr(e, "__call__") for e in error_funcs), "invalid error function"
-    error_names = [e.__name__ for e in error_funcs]
-    error_cols = []
-    for err in error_names:
-        if err == "mae":
-            error_cols.extend(["mae estim", "mae true"])
-        elif err == "f1":
-            error_cols.extend(["f1 estim", "f1 true"])
-        elif err == "f1e":
-            error_cols.extend(["f1e estim", "f1e true"])
-        else:
-            error_cols.append(err)
-
-    # df_cols = ["base_prev", "true_prev", "estim_prev"] + error_names
-    base_cols, prev_cols, err_cols = _report_columns(error_cols)
-
-    lst = []
-    for base_prev, true_prev, estim_prev in zip(base_prevs, true_prevs, estim_prevs):
-        if prevalence:
-            series = {
-                k: v
-                for (k, v) in zip(
-                    base_cols + prev_cols,
-                    np.concatenate((base_prev, true_prev, estim_prev), axis=0),
-                )
-            }
-            df_cols = base_cols + prev_cols + err_cols
-        else:
-            series = {k: v for (k, v) in zip(base_cols, base_prev)}
-            df_cols = base_cols + err_cols
-
-        for err in error_cols:
-            error_funcs = {
-                "mae true": lambda: error.mae(true_prev),
-                "mae estim": lambda: error.mae(estim_prev),
-                "f1 true": lambda: error.f1(true_prev),
-                "f1 estim": lambda: error.f1(estim_prev),
-                "f1e true": lambda: error.f1e(true_prev),
-                "f1e estim": lambda: error.f1e(estim_prev),
-            }
-            series[("errors", err)] = error_funcs[err]()
-
-        lst.append(series)
-
-    lst = avg_groupby_distribution(lst, error_cols) if aggregate else lst
-
-    df = pd.DataFrame(
-        lst,
-        columns=pd.MultiIndex.from_tuples(df_cols),
-    )
-    return df
diff --git a/quacc/evaluation/__init__.py b/quacc/evaluation/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/quacc/baseline.py b/quacc/evaluation/baseline.py
similarity index 58%
rename from quacc/baseline.py
rename to quacc/evaluation/baseline.py
index 7393d01..ce36045 100644
--- a/quacc/baseline.py
+++ b/quacc/evaluation/baseline.py
@@ -2,52 +2,73 @@ from statistics import mean
 from typing import Dict
 
 import numpy as np
-import quapy as qp
 from quapy.data import LabelledCollection
 from sklearn.base import BaseEstimator
 from sklearn.model_selection import cross_validate
+import sklearn.metrics as metrics
 from quapy.protocol import (
     AbstractStochasticSeededProtocol,
     OnLabelledCollectionProtocol,
 )
 
+from .report import EvaluationReport
+
 import elsahar19_rca.rca as rca
 import garg22_ATC.ATC_helper as atc
 import guillory21_doc.doc as doc
 import jiang18_trustscore.trustscore as trustscore
-import lipton_bbse.labelshift as bbse
-import pandas as pd
-import statistics as stats
 
 
-def kfcv(c_model: BaseEstimator, validation: LabelledCollection) -> Dict:
-    scoring = ["f1_macro"]
+def kfcv(
+    c_model: BaseEstimator, 
+    validation: LabelledCollection,
+    protocol: AbstractStochasticSeededProtocol,
+    predict_method="predict"
+):
+    c_model_predict = getattr(c_model, predict_method)
+
+    scoring = ["accuracy", "f1_macro"]
     scores = cross_validate(c_model, validation.X, validation.y, scoring=scoring)
-    return {"f1_score": mean(scores["test_f1_macro"])}
+    acc_score = mean(scores["test_accuracy"])
+    f1_score = mean(scores["test_f1_macro"])
+
+    # ensure that the protocol returns a LabelledCollection for each iteration
+    protocol.collator = OnLabelledCollectionProtocol.get_collator("labelled_collection")
+
+    report = EvaluationReport(prefix="kfcv")
+    for test in protocol():
+        test_preds = c_model_predict(test.X)
+        meta_acc = abs(acc_score - metrics.accuracy_score(test.y, test_preds))
+        meta_f1 = abs(f1_score - metrics.f1_score(test.y, test_preds))
+        report.append_row(
+            test.prevalence(),
+            acc_score=(1. - acc_score),
+            f1_score=f1_score,
+            acc=meta_acc,
+            f1=meta_f1,
+        )
+    
+    return report
 
 
-def avg_groupby_distribution(results):
-    def base_prev(s):
-        return (s[("base", "F")], s[("base", "T")])
+def reference(
+    c_model: BaseEstimator,
+    validation: LabelledCollection,
+    protocol: AbstractStochasticSeededProtocol,
+):
+    protocol.collator = OnLabelledCollectionProtocol.get_collator("labelled_collection")
+    c_model_predict = getattr(c_model, "predict_proba")
+    report = EvaluationReport(prefix="ref")
+    for test in protocol():
+        test_probs = c_model_predict(test.X)
+        test_preds = np.argmax(test_probs, axis=-1)
+        report.append_row(
+            test.prevalence(), 
+            acc_score=(1 - metrics.accuracy_score(test.y, test_preds)),
+            f1_score=metrics.f1_score(test.y, test_preds),
+        )
 
-    grouped_list = {}
-    for r in results:
-        bp = base_prev(r)
-        if bp in grouped_list.keys():
-            grouped_list[bp].append(r)
-        else:
-            grouped_list[bp] = [r]
-
-    series = []
-    for (fp, tp), r_list in grouped_list.items():
-        assert len(r_list) > 0
-        r_avg = {}
-        r_avg[("base", "F")], r_avg[("base", "T")] = fp, tp
-        for pn in [(n1, n2) for ((n1, n2), _) in r_list[0].items() if n1 != "base"]:
-            r_avg[pn] = stats.mean(map(lambda r: r[pn], r_list))
-        series.append(r_avg)
-
-    return series
+    return report
 
 
 def atc_mc(
@@ -69,25 +90,25 @@ def atc_mc(
     # ensure that the protocol returns a LabelledCollection for each iteration
     protocol.collator = OnLabelledCollectionProtocol.get_collator("labelled_collection")
 
-    cols = [
-        ("base", "F"),
-        ("base", "T"),
-        ("atc mc", "accuracy"),
-    ]
-    results = []
+    report = EvaluationReport(prefix="atc_mc")
     for test in protocol():
         ## Load OOD test data probs
         test_probs = c_model_predict(test.X)
+        test_preds = np.argmax(test_probs, axis=-1)
         test_scores = atc.get_max_conf(test_probs)
-        atc_accuracy = 1.0 - (atc.get_ATC_acc(atc_thres, test_scores) / 100.0)
-        [f_prev, t_prev] = test.prevalence()
-        results.append({k: v for k, v in zip(cols, [f_prev, t_prev, atc_accuracy])})
+        atc_accuracy = atc.get_ATC_acc(atc_thres, test_scores)
+        meta_acc = abs(atc_accuracy - metrics.accuracy_score(test.y, test_preds))
+        f1_score = atc.get_ATC_f1(atc_thres, test_scores, test_probs)
+        meta_f1 = abs(f1_score - metrics.f1_score(test.y, test_preds))
+        report.append_row(
+            test.prevalence(),
+            acc=meta_acc,
+            acc_score=1.0 - atc_accuracy,
+            f1_score=f1_score,
+            f1=meta_f1,
+        )
 
-    series = avg_groupby_distribution(results)
-    return pd.DataFrame(
-        series,
-        columns=pd.MultiIndex.from_tuples(cols),
-    )
+    return report
 
 
 def atc_ne(
@@ -109,25 +130,25 @@ def atc_ne(
     # ensure that the protocol returns a LabelledCollection for each iteration
     protocol.collator = OnLabelledCollectionProtocol.get_collator("labelled_collection")
 
-    cols = [
-        ("base", "F"),
-        ("base", "T"),
-        ("atc ne", "accuracy"),
-    ]
-    results = []
+    report = EvaluationReport(prefix="atc_ne")
     for test in protocol():
         ## Load OOD test data probs
         test_probs = c_model_predict(test.X)
+        test_preds = np.argmax(test_probs, axis=-1)
         test_scores = atc.get_entropy(test_probs)
-        atc_accuracy = 1.0 - (atc.get_ATC_acc(atc_thres, test_scores) / 100.0)
-        [f_prev, t_prev] = test.prevalence()
-        results.append({k: v for k, v in zip(cols, [f_prev, t_prev, atc_accuracy])})
+        atc_accuracy = atc.get_ATC_acc(atc_thres, test_scores)
+        meta_acc = abs(atc_accuracy - metrics.accuracy_score(test.y, test_preds))
+        f1_score = atc.get_ATC_f1(atc_thres, test_scores, test_probs)
+        meta_f1 = abs(f1_score - metrics.f1_score(test.y, test_preds))
+        report.append_row(
+            test.prevalence(),
+            acc=meta_acc,
+            acc_score=(1.0 - atc_accuracy),
+            f1_score=f1_score,
+            f1=meta_f1,
+        )
 
-    series = avg_groupby_distribution(results)
-    return pd.DataFrame(
-        series,
-        columns=pd.MultiIndex.from_tuples(cols),
-    )
+    return report
 
 
 def trust_score(
@@ -162,24 +183,16 @@ def doc_feat(
     # ensure that the protocol returns a LabelledCollection for each iteration
     protocol.collator = OnLabelledCollectionProtocol.get_collator("labelled_collection")
 
-    cols = [
-        ("base", "F"),
-        ("base", "T"),
-        ("doc feat", "score"),
-    ]
-    results = []
+    report = EvaluationReport(prefix="doc_feat")
     for test in protocol():
         test_probs = c_model_predict(test.X)
+        test_preds = np.argmax(test_probs, axis=-1)
         test_scores = np.max(test_probs, axis=-1)
-        score = 1.0 - ((v1acc + doc.get_doc(val_scores, test_scores)) / 100.0)
-        [f_prev, t_prev] = test.prevalence()
-        results.append({k: v for k, v in zip(cols, [f_prev, t_prev, score])})
+        score = (v1acc + doc.get_doc(val_scores, test_scores)) / 100.0
+        meta_acc = abs(score - metrics.accuracy_score(test.y, test_preds))
+        report.append_row(test.prevalence(), acc=meta_acc, acc_score=(1.0 - score))
 
-    series = avg_groupby_distribution(results)
-    return pd.DataFrame(
-        series,
-        columns=pd.MultiIndex.from_tuples(cols),
-    )
+    return report
 
 
 def rca_score(
@@ -194,29 +207,24 @@ def rca_score(
     # ensure that the protocol returns a LabelledCollection for each iteration
     protocol.collator = OnLabelledCollectionProtocol.get_collator("labelled_collection")
 
-    cols = [
-        ("base", "F"),
-        ("base", "T"),
-        ("rca", "score"),
-    ]
-    results = []
+    report = EvaluationReport(prefix="rca")
     for test in protocol():
-        try: 
-            [f_prev, t_prev] = test.prevalence()
+        try:
             test_pred = c_model_predict(test.X)
             c_model2 = rca.clone_fit(c_model, test.X, test_pred)
             c_model2_predict = getattr(c_model2, predict_method)
             val_pred2 = c_model2_predict(validation.X)
             rca_score = rca.get_score(val_pred1, val_pred2, validation.y)
-            results.append({k: v for k, v in zip(cols, [f_prev, t_prev, rca_score])})
+            meta_score = abs(
+                rca_score - (1 - metrics.accuracy_score(test.y, test_pred))
+            )
+            report.append_row(test.prevalence(), acc=meta_score, acc_score=rca_score)
         except ValueError:
-            results.append({k: v for k, v in zip(cols, [f_prev, t_prev, float("nan")])})
+            report.append_row(
+                test.prevalence(), acc=float("nan"), acc_score=float("nan")
+            )
 
-    series = avg_groupby_distribution(results)
-    return pd.DataFrame(
-        series,
-        columns=pd.MultiIndex.from_tuples(cols),
-    )
+    return report
 
 
 def rca_star_score(
@@ -226,7 +234,9 @@ def rca_star_score(
     predict_method="predict",
 ):
     c_model_predict = getattr(c_model, predict_method)
-    validation1, validation2 = validation.split_stratified(train_prop=0.5)
+    validation1, validation2 = validation.split_stratified(
+        train_prop=0.5, random_state=0
+    )
     val1_pred = c_model_predict(validation1.X)
     c_model1 = rca.clone_fit(c_model, validation1.X, val1_pred)
     c_model1_predict = getattr(c_model1, predict_method)
@@ -235,62 +245,23 @@ def rca_star_score(
     # ensure that the protocol returns a LabelledCollection for each iteration
     protocol.collator = OnLabelledCollectionProtocol.get_collator("labelled_collection")
 
-    cols = [
-        ("base", "F"),
-        ("base", "T"),
-        ("rca*", "score"),
-    ]
-    results = []
+    report = EvaluationReport(prefix="rca_star")
     for test in protocol():
-        [f_prev, t_prev] = test.prevalence()
         try:
             test_pred = c_model_predict(test.X)
             c_model2 = rca.clone_fit(c_model, test.X, test_pred)
             c_model2_predict = getattr(c_model2, predict_method)
             val2_pred2 = c_model2_predict(validation2.X)
             rca_star_score = rca.get_score(val2_pred1, val2_pred2, validation2.y)
-            results.append(
-                {k: v for k, v in zip(cols, [f_prev, t_prev, rca_star_score])}
+            meta_score = abs(
+                rca_star_score - (1 - metrics.accuracy_score(test.y, test_pred))
+            )
+            report.append_row(
+                test.prevalence(), acc=meta_score, acc_score=rca_star_score
             )
         except ValueError:
-            results.append({k: v for k, v in zip(cols, [f_prev, t_prev, float("nan")])})
+            report.append_row(
+                test.prevalence(), acc=float("nan"), acc_score=float("nan")
+            )
 
-    series = avg_groupby_distribution(results)
-    return pd.DataFrame(
-        series,
-        columns=pd.MultiIndex.from_tuples(cols),
-    )
-
-
-def bbse_score(
-    c_model: BaseEstimator,
-    validation: LabelledCollection,
-    protocol: AbstractStochasticSeededProtocol,
-    predict_method="predict_proba",
-):
-    c_model_predict = getattr(c_model, predict_method)
-    val_probs, val_labels = c_model_predict(validation.X), validation.y
-
-    # ensure that the protocol returns a LabelledCollection for each iteration
-    protocol.collator = OnLabelledCollectionProtocol.get_collator("labelled_collection")
-
-    cols = [
-        ("base", "F"),
-        ("base", "T"),
-        ("bbse", "score"),
-    ]
-    results = []
-    for test in protocol():
-        test_probs = c_model_predict(test.X)
-        wt = bbse.estimate_labelshift_ratio(val_labels, val_probs, test_probs, 2)
-        estim_prev = bbse.estimate_target_dist(wt, val_labels, 2)[1]
-        true_prev = test.prevalence()
-        [f_prev, t_prev] = true_prev
-        acc = qp.error.ae(true_prev, estim_prev)
-        results.append({k: v for k, v in zip(cols, [f_prev, t_prev, acc])})
-
-    series = avg_groupby_distribution(results)
-    return pd.DataFrame(
-        series,
-        columns=pd.MultiIndex.from_tuples(cols),
-    )
+    return report
diff --git a/quacc/evaluation/method.py b/quacc/evaluation/method.py
new file mode 100644
index 0000000..0c69ba1
--- /dev/null
+++ b/quacc/evaluation/method.py
@@ -0,0 +1,149 @@
+import multiprocessing
+import time
+
+import pandas as pd
+import quapy as qp
+from quapy.data import LabelledCollection
+from quapy.protocol import (
+    APP,
+    AbstractStochasticSeededProtocol,
+    OnLabelledCollectionProtocol,
+)
+from sklearn.base import BaseEstimator
+from sklearn.linear_model import LogisticRegression
+
+import quacc.error as error
+import quacc.evaluation.baseline as baseline
+from quacc.dataset import get_imdb, get_rcv1, get_spambase
+from quacc.evaluation.report import EvaluationReport
+
+from ..estimator import (
+    AccuracyEstimator,
+    BinaryQuantifierAccuracyEstimator,
+    MulticlassAccuracyEstimator,
+)
+
+qp.environ["SAMPLE_SIZE"] = 100
+
+pd.set_option("display.float_format", "{:.4f}".format)
+
+n_prevalences = 21
+repreats = 100
+
+
+def estimate(
+    estimator: AccuracyEstimator,
+    protocol: AbstractStochasticSeededProtocol,
+):
+    # ensure that the protocol returns a LabelledCollection for each iteration
+    protocol.collator = OnLabelledCollectionProtocol.get_collator("labelled_collection")
+
+    base_prevs, true_prevs, estim_prevs = [], [], []
+    for sample in protocol():
+        e_sample = estimator.extend(sample)
+        estim_prev = estimator.estimate(e_sample.X, ext=True)
+        base_prevs.append(sample.prevalence())
+        true_prevs.append(e_sample.prevalence())
+        estim_prevs.append(estim_prev)
+
+    return base_prevs, true_prevs, estim_prevs
+
+
+def evaluation_report(
+    estimator: AccuracyEstimator,
+    protocol: AbstractStochasticSeededProtocol,
+    method: str,
+) -> EvaluationReport:
+    base_prevs, true_prevs, estim_prevs = estimate(estimator, protocol)
+    report = EvaluationReport(prefix=method)
+
+    for base_prev, true_prev, estim_prev in zip(base_prevs, true_prevs, estim_prevs):
+        acc_score = error.acc(estim_prev)
+        f1_score = error.f1(estim_prev)
+        report.append_row(
+            base_prev, 
+            acc_score=1. - acc_score,
+            acc = abs(error.acc(true_prev) - acc_score),
+            f1_score=f1_score,
+            f1=abs(error.f1(true_prev) - f1_score)
+        )
+
+    return report
+
+
+def evaluate(
+    c_model: BaseEstimator,
+    validation: LabelledCollection,
+    protocol: AbstractStochasticSeededProtocol,
+    method: str,
+):
+    estimator : AccuracyEstimator = {
+        "bin": BinaryQuantifierAccuracyEstimator,
+        "mul": MulticlassAccuracyEstimator,
+    }[method](c_model)
+    estimator.fit(validation)
+    return evaluation_report(estimator, protocol, method)
+
+
+def evaluate_binary(model, validation, protocol):
+    return evaluate(model, validation, protocol, "bin")
+
+
+def evaluate_multiclass(model, validation, protocol):
+    return evaluate(model, validation, protocol, "mul")
+
+
+def fit_and_estimate(_estimate, train, validation, test):
+    model = LogisticRegression()
+
+    model.fit(*train.Xy)
+    protocol = APP(test, n_prevalences=n_prevalences, repeats=repreats)
+    start = time.time()
+    result = _estimate(model, validation, protocol)
+    end = time.time()
+
+    return {
+        "name": _estimate.__name__,
+        "result": result,
+        "time": end - start,
+    }
+
+
+def evaluate_comparison(dataset: str, **kwargs) -> EvaluationReport:
+    train, validation, test = {
+        "spambase": get_spambase,
+        "imdb": get_imdb,
+        "rcv1": get_rcv1,
+    }[dataset](**kwargs)
+
+    for k,v in kwargs.items():
+        print(k, ":", v)
+
+    prevs = {
+        "train": train.prevalence(),
+        "validation": validation.prevalence(),
+    }
+
+    start = time.time()
+    with multiprocessing.Pool(8) as pool:
+        estimators = [
+            evaluate_binary,
+            evaluate_multiclass,
+            baseline.kfcv,
+            baseline.atc_mc,
+            baseline.atc_ne,
+            baseline.doc_feat,
+            baseline.rca_score,
+            baseline.rca_star_score,
+        ]
+        tasks = [(estim, train, validation, test) for estim in estimators]
+        results = [pool.apply_async(fit_and_estimate, t) for t in tasks]
+        results = list(map(lambda r: r.get(), results))
+        er = EvaluationReport.combine_reports(*list(map(lambda r: r["result"], results)))
+        times = {r["name"]:r["time"] for r in results}
+    end = time.time()
+    times["tot"] = end - start
+    er.times = times
+    er.prevs = prevs
+
+    return er
diff --git a/quacc/evaluation/report.py b/quacc/evaluation/report.py
new file mode 100644
index 0000000..97c514e
--- /dev/null
+++ b/quacc/evaluation/report.py
@@ -0,0 +1,162 @@
+from email import header
+from typing import Tuple
+import statistics as stats
+import numpy as np
+import pandas as pd
+
+def _in_div(s):
+    return "<div>" + s + "</div>\n"
+
+def _header_footer(s):
+    return (
+        """
+        <html> 
+        <head>
+            <style>
+                .dataframe {
+                    tr:hover {
+                        background-color: aquamarine;
+                    }
+                }
+            </style>
+        </head>
+        <body>
+        """ + 
+        s + 
+        "</body></html>"
+    )
+
+class EvaluationReport:
+    def __init__(self, prefix=None):
+        self.base = []
+        self.dict = {}
+        self._grouped = False
+        self._grouped_base = []
+        self._grouped_dict = {}
+        self._dataframe = None
+        self.prefix = prefix if prefix is not None else "default"
+        self._times = {}
+        self._prevs = {}
+        self._target = "default"
+
+    def append_row(self, base: np.ndarray | Tuple, **row):
+        if isinstance(base, np.ndarray):
+            base = tuple(base.tolist())
+        self.base.append(base)
+        for k, v in row.items():
+            if (k, self.prefix) in self.dict:
+                self.dict[(k, self.prefix)].append(v)
+            else:
+                self.dict[(k, self.prefix)] = [v]
+        self._grouped = False
+        self._dataframe = None
+
+    @property
+    def columns(self):
+        return self.dict.keys()
+
+    @property
+    def grouped(self):
+        if self._grouped:
+            return self._grouped_dict
+
+        self._grouped_base = []
+        self._grouped_dict = {k: [] for k in self.dict.keys()}
+
+        last_end = 0
+        for ind, bp in enumerate(self.base):
+            if ind < (len(self.base) - 1) and bp == self.base[ind + 1]:
+                continue
+
+            self._grouped_base.append(bp)
+            for col in self.dict.keys():
+                self._grouped_dict[col].append(
+                    stats.mean(self.dict[col][last_end : ind + 1])
+                )
+
+            last_end = ind + 1
+
+        self._grouped = True
+        return self._grouped_dict
+
+    @property
+    def gbase(self):
+        self.grouped
+        return self._grouped_base
+
+    def get_dataframe(self, metrics=None):
+        if self._dataframe is None:
+            self_columns = sorted(self.columns, key=lambda c: c[0])
+            self._dataframe = pd.DataFrame(
+                self.grouped,
+                index=self.gbase,
+                columns=pd.MultiIndex.from_tuples(self_columns),
+            )
+
+        df = pd.DataFrame(self._dataframe)
+        if metrics is not None:
+            df = df.drop(
+                [(c0, c1) for (c0, c1) in df.columns if c0 not in metrics], axis=1
+            )
+
+        if len(set(k0 for k0, k1 in df.columns)) == 1:
+            df = df.droplevel(0, axis=1)
+
+        return df
+
+    def merge(self, other):
+        if not all(v1 == v2 for v1, v2 in zip(self.base, other.base)):
+            raise ValueError("other has not same base prevalences of self")
+
+        if len(set(self.dict.keys()).intersection(set(other.dict.keys()))) > 0:
+            raise ValueError("self and other have matching keys")
+
+        report = EvaluationReport()
+        report.base = self.base
+        report.dict = self.dict | other.dict
+        return report
+
+    @property
+    def times(self):
+        return self._times
+
+    @times.setter
+    def times(self, val):
+        self._times = val
+
+    @property
+    def prevs(self):
+        return self._prevs
+    
+    @prevs.setter
+    def prevs(self, val):
+        self._prevs = val
+
+    @property
+    def target(self):
+        return self._target
+    
+    @target.setter
+    def target(self, val):
+        self._target = val
+
+    def to_html(self, *metrics):
+        res = _in_div("target: " + self.target)
+        for k,v in self.prevs.items():
+            res += _in_div(f"{k}: {str(v)}")
+        for k,v in self.times.items():
+            res += _in_div(f"{k}: {v:.3f}s")
+        res += "\n"
+        for m in metrics:
+            res += self.get_dataframe(metrics=m).to_html() + "\n\n"
+        
+        return _header_footer(res)
+
+
+    @staticmethod
+    def combine_reports(*args):
+        er = args[0]
+        for r in args[1:]:
+            er = er.merge(r)
+
+        return er
diff --git a/quacc/main.py b/quacc/main.py
index d58a65e..96a056b 100644
--- a/quacc/main.py
+++ b/quacc/main.py
@@ -1,133 +1,41 @@
-import pandas as pd
-import quapy as qp
-from quapy.protocol import APP
-from sklearn.linear_model import LogisticRegression
-from quacc import utils
+import traceback
+import quacc.evaluation.method as method
 
-import quacc.evaluation as eval
-import quacc.baseline as baseline
-from quacc.estimator import (
-    BinaryQuantifierAccuracyEstimator,
-    MulticlassAccuracyEstimator,
-)
-
-from quacc.dataset import get_imdb, get_rcv1, get_spambase
-
-qp.environ["SAMPLE_SIZE"] = 100
-
-pd.set_option("display.float_format", "{:.4f}".format)
-
-dataset_name = "imdb"
-
-
-def estimate_multiclass():
-    print(dataset_name)
-    train, validation, test = get_imdb()
-
-    model = LogisticRegression()
-
-    print(f"fitting model {model.__class__.__name__}...", end=" ", flush=True)
-    model.fit(*train.Xy)
-    print("fit")
-
-    estimator = MulticlassAccuracyEstimator(model)
-
-    print(
-        f"fitting qmodel {estimator.q_model.__class__.__name__}...", end=" ", flush=True
-    )
-    estimator.fit(train)
-    print("fit")
-
-    n_prevalences = 21
-    repreats = 1000
-    protocol = APP(test, n_prevalences=n_prevalences, repeats=repreats)
-    print(
-        f"Tests:\n\
-        protocol={protocol.__class__.__name__}\n\
-        n_prevalences={n_prevalences}\n\
-        repreats={repreats}\n\
-        executing...\n"
-    )
-    df = eval.evaluation_report(
-        estimator,
-        protocol,
-        aggregate=True,
-    )
-    # print(df.to_latex())
-    print(df.to_string())
-    # print(df.to_html())
-    print()
-
-
-def estimate_binary():
-    print(dataset_name)
-    train, validation, test = get_imdb()
-
-    model = LogisticRegression()
-
-    print(f"fitting model {model.__class__.__name__}...", end=" ", flush=True)
-    model.fit(*train.Xy)
-    print("fit")
-
-    estimator = BinaryQuantifierAccuracyEstimator(model)
-
-    print(
-        f"fitting qmodel {estimator.q_model_0.__class__.__name__}...",
-        end=" ",
-        flush=True,
-    )
-    estimator.fit(train)
-    print("fit")
-
-    n_prevalences = 21
-    repreats = 1000
-    protocol = APP(test, n_prevalences=n_prevalences, repeats=repreats)
-    print(
-        f"Tests:\n\
-        protocol={protocol.__class__.__name__}\n\
-        n_prevalences={n_prevalences}\n\
-        repreats={repreats}\n\
-        executing...\n"
-    )
-    df = eval.evaluation_report(
-        estimator,
-        protocol,
-        aggregate=True,
-    )
-    # print(df.to_latex(float_format="{:.4f}".format))
-    print(df.to_string())
-    # print(df.to_html())
-    print()
+DATASET = "imdb"
+OUTPUT_FILE = "out_" + DATASET + ".html"
+TARGETS = {
+    "rcv1" : [ 
+        'C12', 
+        'C13', 'C15', 'C151', 'C1511', 'C152', 'C17', 'C172', 
+        'C18', 'C181', 'C21', 'C24', 'C31', 'C42', 'CCAT'
+        'E11', 'E12', 'E21', 'E211', 'E212', 'E41', 'E51',  'ECAT',
+        'G15', 'GCAT', 'GCRIM', 'GDIP', 'GPOL', 'GVIO', 'GVOTE', 'GWEA',
+        'GWELF', 'M11', 'M12', 'M13', 'M131', 'M132', 'M14', 'M141',
+        'M142', 'M143', 'MCAT'
+    ],
+    "spambase": ["default"],
+    "imdb": ["default"],
+}
 
 def estimate_comparison():
-    train, validation, test = get_spambase()
-    model = LogisticRegression()
-    model.fit(*train.Xy)
+    open(OUTPUT_FILE, "w").close()
+    targets = TARGETS[DATASET]
+    for target in targets:
+        try:
+            er = method.evaluate_comparison(DATASET, target=target)
+            er.target = target
+            with open(OUTPUT_FILE, "a") as f:
+                f.write(er.to_html(["acc"], ["f1"]))
+        except Exception:
+            traceback.print_exc()
 
-    n_prevalences = 21
-    repreats = 1000
-    protocol = APP(test, n_prevalences=n_prevalences, repeats=repreats)
+    # print(df.to_latex(float_format="{:.4f}".format))
+    # print(utils.avg_group_report(df).to_latex(float_format="{:.4f}".format))
 
-    estimator = BinaryQuantifierAccuracyEstimator(model)
-    estimator.fit(validation)
-    df = eval.evaluation_report(estimator, protocol, prevalence=False)
-    
-    df = utils.combine_dataframes(
-        baseline.atc_mc(model, validation, protocol),
-        baseline.atc_ne(model, validation, protocol),
-        baseline.doc_feat(model, validation, protocol),
-        baseline.rca_score(model, validation, protocol),
-        baseline.rca_star_score(model, validation, protocol),
-        baseline.bbse_score(model, validation, protocol),
-        df,
-        df_index=[("base", "F"), ("base", "T")]
-    )
-
-    print(df.to_latex(float_format="{:.4f}".format))
-    print(utils.avg_group_report(df).to_latex(float_format="{:.4f}".format))
 
 def main():
     estimate_comparison()
 
+
 if __name__ == "__main__":
     main()
diff --git a/quacc/utils.py b/quacc/utils.py
index 6da5b39..d38b9f6 100644
--- a/quacc/utils.py
+++ b/quacc/utils.py
@@ -2,7 +2,7 @@
 import functools
 import pandas as pd
 
-def combine_dataframes(*dfs, df_index=[]) -> pd.DataFrame:
+def combine_dataframes(dfs, df_index=[]) -> pd.DataFrame:
     if len(dfs) < 1:
         raise ValueError
     if len(dfs) == 1: