Repository: fractal-analytics-platform/fractal-tasks-core (language: python)

Issue:
Verify compatibility with Python 3.12
@lorenzocerrone mentioned that some version constraints may be too strict, and prevent a successful install with Python 3.12.
Let's review which ones would need to be relaxed, and try to run the CI with python 3.12 as well.


Discussion / hints:
When I tried the error was with the pytorch version 
For the record, this was our latest discussion about pytorch versions: https://github.com/fractal-analytics-platform/fractal-tasks-core/issues/355.

Fix patch:
diff --git a/.github/workflows/ci_pip.yml b/.github/workflows/ci_pip.yml
index c68493cc6..f6e59e2d1 100644
--- a/.github/workflows/ci_pip.yml
+++ b/.github/workflows/ci_pip.yml
@@ -15,7 +15,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-22.04, macos-latest]
-        python-version: ["3.9", "3.10", "3.11"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
         exclude:
           - os: macos-latest
             python-version: '3.9'
@@ -50,7 +50,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest, macos-latest]
-        python-version: ["3.9", "3.10", "3.11"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
         exclude:
           - os: macos-latest
             python-version: '3.9'
diff --git a/.github/workflows/ci_poetry.yml b/.github/workflows/ci_poetry.yml
index 92330f27d..57ef7cabf 100644
--- a/.github/workflows/ci_poetry.yml
+++ b/.github/workflows/ci_poetry.yml
@@ -15,7 +15,7 @@ jobs:
 
     strategy:
       matrix:
-        python-version: ["3.9", "3.10", "3.11"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
 
     steps:
       - uses: actions/checkout@v4
@@ -60,7 +60,7 @@ jobs:
 
     strategy:
       matrix:
-        python-version: ["3.9", "3.10", "3.11"]
+        python-version: ["3.9", "3.10", "3.11", "3.12"]
 
     steps:
       - uses: actions/checkout@v4
diff --git a/CHANGELOG.md b/CHANGELOG.md
index bb1d5c509..d9c434c02 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,13 @@
 **Note**: Numbers like (\#123) point to closed Pull Requests on the fractal-tasks-core repository.
 
+* Dependencies:
+  * Relax pandas constraint to `<2`.
+  * Relax torch constraint to `<=3.0.0`.
+  * Relax numpy constraint to `<2.1.0`.
+  * Add python 3.12 to the CI matrix (\#770).
+* Chores:
+  * fix future warning when using Series.__getitem__ with positional arguments.
+
 # 1.3.1
 
 * Testing
diff --git a/fractal_tasks_core/cellvoyager/metadata.py b/fractal_tasks_core/cellvoyager/metadata.py
index 9f1cb1a30..17de50c80 100644
--- a/fractal_tasks_core/cellvoyager/metadata.py
+++ b/fractal_tasks_core/cellvoyager/metadata.py
@@ -207,8 +207,8 @@ def read_mrf_file(mrf_path: str) -> tuple[pd.DataFrame, int]:
     meas_df = pd.read_xml(
         mrf_path, xpath="//bts:MeasurementDetail", namespaces=ns
     )
-    row_count = int(meas_df["RowCount"])
-    column_count = int(meas_df["ColumnCount"])
+    row_count = int(meas_df["RowCount"].iloc[0])
+    column_count = int(meas_df["ColumnCount"].iloc[0])
     plate_type = row_count * column_count
     return channel_df, plate_type
 
@@ -471,7 +471,7 @@ def check_group_consistency(grouped_df: pd.DataFrame, message: str = ""):
     # Check consistency in grouped df for multi-index, multi-column dataframes
     # raises an exception if there is variability
     diff_df = grouped_df.max() - grouped_df.min()
-    if not np.isclose(np.sum(np.sum(diff_df)), 0.0):
+    if not np.isclose(diff_df.to_numpy().sum(), 0.0):
         raise ValueError(
             "During metadata parsing, a consistency check failed: \n"
             f"{message}\n"
diff --git a/fractal_tasks_core/masked_loading.py b/fractal_tasks_core/masked_loading.py
index 1b581906e..0b6d59a23 100644
--- a/fractal_tasks_core/masked_loading.py
+++ b/fractal_tasks_core/masked_loading.py
@@ -109,7 +109,9 @@ def _preprocess_input(
             'In _preprocess_input, "{column_name}" '
             f" missing in {ROI_table.obs.columns=}"
         )
-    label_value = int(float(ROI_table.obs[column_name][ROI_positional_index]))
+    label_value = int(
+        float(ROI_table.obs[column_name].iloc[ROI_positional_index])
+    )
 
     # Load masking-label array (lazily)
     masking_label_path = str(
diff --git a/fractal_tasks_core/roi/v1_overlaps.py b/fractal_tasks_core/roi/v1_overlaps.py
index 90dfec6d6..8ac0adb11 100644
--- a/fractal_tasks_core/roi/v1_overlaps.py
+++ b/fractal_tasks_core/roi/v1_overlaps.py
@@ -45,9 +45,9 @@ def get_overlapping_pair(
     num_lines = len(tmp_df.index)
     for pos_ind_1 in range(num_lines):
         for pos_ind_2 in range(pos_ind_1):
-            if is_overlapping_2D(
-                tmp_df.iloc[pos_ind_1], tmp_df.iloc[pos_ind_2], tol=tol
-            ):
+            bbox_1 = tmp_df.iloc[pos_ind_1].to_numpy()
+            bbox_2 = tmp_df.iloc[pos_ind_2].to_numpy()
+            if is_overlapping_2D(bbox_1, bbox_2, tol=tol):
                 return (pos_ind_1, pos_ind_2)
     return False
 
@@ -96,9 +96,9 @@ def get_overlapping_pairs_3D(
     overlapping_list = []
     for pos_ind_1 in range(num_lines):
         for pos_ind_2 in range(pos_ind_1):
-            overlap = is_overlapping_3D(
-                new_tmp_df.iloc[pos_ind_1], new_tmp_df.iloc[pos_ind_2], tol=tol
-            )
+            bbox_1 = new_tmp_df.iloc[pos_ind_1].to_numpy()
+            bbox_2 = new_tmp_df.iloc[pos_ind_2].to_numpy()
+            overlap = is_overlapping_3D(bbox_1, bbox_2, tol=tol)
             if overlap:
                 overlapping_list.append((pos_ind_1, pos_ind_2))
     return overlapping_list
@@ -177,7 +177,6 @@ def remove_FOV_overlaps(df: pd.DataFrame):
     # Loop over wells
     wells = sorted(list(set([ind[0] for ind in df.index])))
     for well in wells:
-
         logger.info(f"removing FOV overlaps for {well=}")
         df_well = df.loc[well].copy()
 
diff --git a/fractal_tasks_core/tasks/cellvoyager_to_ome_zarr_init.py b/fractal_tasks_core/tasks/cellvoyager_to_ome_zarr_init.py
index 8f4cda2ea..113f0113f 100644
--- a/fractal_tasks_core/tasks/cellvoyager_to_ome_zarr_init.py
+++ b/fractal_tasks_core/tasks/cellvoyager_to_ome_zarr_init.py
@@ -278,10 +278,10 @@ def cellvoyager_to_ome_zarr_init(
             site_metadata.set_index(["well_id", "FieldIndex"], inplace=True)
 
         # Extract pixel sizes and bit_depth
-        pixel_size_z = site_metadata["pixel_size_z"][0]
-        pixel_size_y = site_metadata["pixel_size_y"][0]
-        pixel_size_x = site_metadata["pixel_size_x"][0]
-        bit_depth = site_metadata["bit_depth"][0]
+        pixel_size_z = site_metadata["pixel_size_z"].iloc[0]
+        pixel_size_y = site_metadata["pixel_size_y"].iloc[0]
+        pixel_size_x = site_metadata["pixel_size_x"].iloc[0]
+        bit_depth = site_metadata["bit_depth"].iloc[0]
 
         if min(pixel_size_z, pixel_size_y, pixel_size_x) < 1e-9:
             raise ValueError(pixel_size_z, pixel_size_y, pixel_size_x)
diff --git a/fractal_tasks_core/tasks/cellvoyager_to_ome_zarr_init_multiplex.py b/fractal_tasks_core/tasks/cellvoyager_to_ome_zarr_init_multiplex.py
index 81bbbf5d9..d9598a049 100644
--- a/fractal_tasks_core/tasks/cellvoyager_to_ome_zarr_init_multiplex.py
+++ b/fractal_tasks_core/tasks/cellvoyager_to_ome_zarr_init_multiplex.py
@@ -303,10 +303,10 @@ def cellvoyager_to_ome_zarr_init_multiplex(
             site_metadata.set_index(["well_id", "FieldIndex"], inplace=True)
 
         # Extract pixel sizes and bit_depth
-        pixel_size_z = site_metadata["pixel_size_z"][0]
-        pixel_size_y = site_metadata["pixel_size_y"][0]
-        pixel_size_x = site_metadata["pixel_size_x"][0]
-        bit_depth = site_metadata["bit_depth"][0]
+        pixel_size_z = site_metadata["pixel_size_z"].iloc[0]
+        pixel_size_y = site_metadata["pixel_size_y"].iloc[0]
+        pixel_size_x = site_metadata["pixel_size_x"].iloc[0]
+        bit_depth = site_metadata["bit_depth"].iloc[0]
 
         if min(pixel_size_z, pixel_size_y, pixel_size_x) < 1e-9:
             raise ValueError(pixel_size_z, pixel_size_y, pixel_size_x)
diff --git a/poetry.lock b/poetry.lock
index 98bb0e929..3c4f8836f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "alabaster"
@@ -179,13 +179,13 @@ tests = ["pytest"]
 
 [[package]]
 name = "array-api-compat"
-version = "1.8"
+version = "1.9"
 description = "A wrapper around NumPy and other array libraries to make them compatible with the Array API standard"
 optional = false
 python-versions = "*"
 files = [
-    {file = "array_api_compat-1.8-py3-none-any.whl", hash = "sha256:140204454086264d37263bc4afe1182b428353e94e9edcc38d17b009863c982d"},
-    {file = "array_api_compat-1.8.tar.gz", hash = "sha256:f5cc7c6765226b58c99a8a695becb5c53bfb38cd69e40e8773d05eeaab52bddd"},
+    {file = "array_api_compat-1.9-py3-none-any.whl", hash = "sha256:76db63c2d2461ba0e86b920c8b087f0a1617eb14de3ec29fe6811eeecad9c5e8"},
+    {file = "array_api_compat-1.9.tar.gz", hash = "sha256:8fb35f2895822b1cc6618449efd84aa76dcea1ab96940304f869663fd6a0dcd8"},
 ]
 
 [package.extras]
@@ -279,13 +279,13 @@ test-all = ["astropy[test]", "coverage[toml]", "ipython (>=4.2)", "objgraph", "s
 
 [[package]]
 name = "astropy-iers-data"
-version = "0.2024.9.30.0.32.59"
+version = "0.2024.10.7.0.32.46"
 description = "IERS Earth Rotation and Leap Second tables for the astropy core package"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "astropy_iers_data-0.2024.9.30.0.32.59-py3-none-any.whl", hash = "sha256:f8e6a0db23cc60bc8d3d32b436cc333f34482ef86292fe6f1deb8618baaaeb63"},
-    {file = "astropy_iers_data-0.2024.9.30.0.32.59.tar.gz", hash = "sha256:9cdda7a24f2b18cae8d9d65324f881f9a2a10c41628366edc52d64edb4071bb3"},
+    {file = "astropy_iers_data-0.2024.10.7.0.32.46-py3-none-any.whl", hash = "sha256:4b5ce3e3c8ac17632a28a35f4b847d8a8db084509f5f0db3238140dbb5149eae"},
+    {file = "astropy_iers_data-0.2024.10.7.0.32.46.tar.gz", hash = "sha256:349ff09294f03112d9391a5ad660135bf2fcef7de411a52c20bcf8598fb029d1"},
 ]
 
 [package.extras]
@@ -413,13 +413,13 @@ css = ["tinycss2 (>=1.1.0,<1.3)"]
 
 [[package]]
 name = "build"
-version = "1.2.2"
+version = "1.2.2.post1"
 description = "A simple, correct Python build frontend"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "build-1.2.2-py3-none-any.whl", hash = "sha256:277ccc71619d98afdd841a0e96ac9fe1593b823af481d3b0cea748e8894e0613"},
-    {file = "build-1.2.2.tar.gz", hash = "sha256:119b2fb462adef986483438377a13b2f42064a2a3a4161f24a0cca698a07ac8c"},
+    {file = "build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5"},
+    {file = "build-1.2.2.post1.tar.gz", hash = "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7"},
 ]
 
 [package.dependencies]
@@ -725,35 +725,6 @@ files = [
     {file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"},
 ]
 
-[[package]]
-name = "cmake"
-version = "3.30.4"
-description = "CMake is an open-source, cross-platform family of tools designed to build, test and package software"
-optional = true
-python-versions = ">=3.7"
-files = [
-    {file = "cmake-3.30.4-py3-none-macosx_10_10_universal2.whl", hash = "sha256:8a1a30125213c3d44b81a1af0085ad1dcd77abc61bcdf330556e83898428198a"},
-    {file = "cmake-3.30.4-py3-none-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9f69b3706ae93fa48762871bdc7cb759fbbbadb04452e5eab820537c35fabcb6"},
-    {file = "cmake-3.30.4-py3-none-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:969af8432a17168e5b88e2efba11e5e14b7ca38aa638975b7ce1b19044c5183f"},
-    {file = "cmake-3.30.4-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a5929e21af39a3adf4058aea54aa2197198e06315ebad541dda0baf20e2b32b"},
-    {file = "cmake-3.30.4-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e9808d3744e57c6fd71d93e2ca95142d67578a13a8867f7e8b000f343799899f"},
-    {file = "cmake-3.30.4-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0a223c62cfeebcb7b90f715c16bb2e83ee37e8c3e676efde83b094d62c278ec2"},
-    {file = "cmake-3.30.4-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:08466455fbac67287a4868819ae0e0ab16d60c02eb209ae5e6d70e0e35d0e601"},
-    {file = "cmake-3.30.4-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b8a4b0e638ddbabd16cad8b053b5a66733ddaf652dc3d46d55b3887314022fe"},
-    {file = "cmake-3.30.4-py3-none-musllinux_1_1_aarch64.whl", hash = "sha256:a8f3160cc2b362c0ba03d70300a36bca5a58e1f82c345f4f54a4da7f59b7b2b4"},
-    {file = "cmake-3.30.4-py3-none-musllinux_1_1_i686.whl", hash = "sha256:13bd1afa2e9988973f18c2425823081a044929e80685731601f093ff673d2db7"},
-    {file = "cmake-3.30.4-py3-none-musllinux_1_1_ppc64le.whl", hash = "sha256:d2ab1018a42e03cf2e843f9565bc2ff7465a1a66c1cbfaba30d494a5e26f763e"},
-    {file = "cmake-3.30.4-py3-none-musllinux_1_1_s390x.whl", hash = "sha256:2d6367a438c11f0863c9cdea843acd09514e94534ce0d115bc8f7905aaff243d"},
-    {file = "cmake-3.30.4-py3-none-musllinux_1_1_x86_64.whl", hash = "sha256:e4cc37735bdc7ba058abdddd3f94ac9dc32cae0f94ae68661565b39f64a9a22f"},
-    {file = "cmake-3.30.4-py3-none-win32.whl", hash = "sha256:a08e9a987be5da69941f4a26dd7614fcbb5039394821fbcce9716c20a1571c0c"},
-    {file = "cmake-3.30.4-py3-none-win_amd64.whl", hash = "sha256:2d128d0831924788c1e87d6ca9abe4594e2ccde718712b0fa2c8c3a99b0d1282"},
-    {file = "cmake-3.30.4-py3-none-win_arm64.whl", hash = "sha256:2825874fb84bd9d05c40b1a4347366d9949c9f6bac7a9ace97ac7faf9d573b8b"},
-    {file = "cmake-3.30.4.tar.gz", hash = "sha256:fedd88495e742a1316078c283c2b4c2eeac4c34eca3234401d28f09ee58a320f"},
-]
-
-[package.extras]
-test = ["coverage (>=4.2)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)"]
-
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -1383,13 +1354,13 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 
 [[package]]
 name = "griffe"
-version = "1.3.1"
+version = "1.3.2"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "griffe-1.3.1-py3-none-any.whl", hash = "sha256:940aeb630bc3054b4369567f150b6365be6f11eef46b0ed8623aea96e6d17b19"},
-    {file = "griffe-1.3.1.tar.gz", hash = "sha256:3f86a716b631a4c0f96a43cb75d05d3c85975003c20540426c0eba3b0581c56a"},
+    {file = "griffe-1.3.2-py3-none-any.whl", hash = "sha256:2e34b5e46507d615915c8e6288bb1a2234bd35dee44d01e40a2bc2f25bd4d10c"},
+    {file = "griffe-1.3.2.tar.gz", hash = "sha256:1ec50335aa507ed2445f2dd45a15c9fa3a45f52c9527e880571dfc61912fd60c"},
 ]
 
 [package.dependencies]
@@ -1468,13 +1439,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.5"
+version = "1.0.6"
 description = "A minimal low-level HTTP client."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
-    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
+    {file = "httpcore-1.0.6-py3-none-any.whl", hash = "sha256:27b59625743b85577a8c0e10e55b50b5368a4f2cfe8cc7bcfa9cf00829c2682f"},
+    {file = "httpcore-1.0.6.tar.gz", hash = "sha256:73f6dbd6eb8c21bbf7ef8efad555481853f5f6acdeaff1edb0694289269ee17f"},
 ]
 
 [package.dependencies]
@@ -1485,7 +1456,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.26.0)"]
+trio = ["trio (>=0.22.0,<1.0)"]
 
 [[package]]
 name = "httpx"
@@ -2465,17 +2436,6 @@ files = [
     {file = "lexid-2021.1006.tar.gz", hash = "sha256:509a3a4cc926d3dbf22b203b18a4c66c25e6473fb7c0e0d30374533ac28bafe5"},
 ]
 
-[[package]]
-name = "lit"
-version = "18.1.8"
-description = "A Software Testing Tool"
-optional = true
-python-versions = "*"
-files = [
-    {file = "lit-18.1.8-py3-none-any.whl", hash = "sha256:a873ff7acd76e746368da32eb7355625e2e55a2baaab884c9cc130f2ee0300f7"},
-    {file = "lit-18.1.8.tar.gz", hash = "sha256:47c174a186941ae830f04ded76a3444600be67d5e5fb8282c3783fba671c4edb"},
-]
-
 [[package]]
 name = "llvmlite"
 version = "0.43.0"
@@ -3777,164 +3737,148 @@ doc = ["intersphinx-registry", "matplotlib (>=3.5)", "numpy (>=1.22)", "pydata-s
 test = ["matplotlib", "pytest", "pytest-cov"]
 
 [[package]]
-name = "nvidia-cublas-cu11"
-version = "11.10.3.66"
+name = "nvidia-cublas-cu12"
+version = "12.1.3.1"
 description = "CUBLAS native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl", hash = "sha256:d32e4d75f94ddfb93ea0a5dda08389bcc65d8916a25cb9f37ac89edaeed3bded"},
-    {file = "nvidia_cublas_cu11-11.10.3.66-py3-none-win_amd64.whl", hash = "sha256:8ac17ba6ade3ed56ab898a036f9ae0756f1e81052a317bf98f8c6d18dc3ae49e"},
+    {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
+    {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-wheel = "*"
-
 [[package]]
-name = "nvidia-cuda-cupti-cu11"
-version = "11.7.101"
+name = "nvidia-cuda-cupti-cu12"
+version = "12.1.105"
 description = "CUDA profiling tools runtime libs."
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cuda_cupti_cu11-11.7.101-py3-none-manylinux1_x86_64.whl", hash = "sha256:e0cfd9854e1f2edaa36ca20d21cd0bdd5dcfca4e3b9e130a082e05b33b6c5895"},
-    {file = "nvidia_cuda_cupti_cu11-11.7.101-py3-none-win_amd64.whl", hash = "sha256:7cc5b8f91ae5e1389c3c0ad8866b3b016a175e827ea8f162a672990a402ab2b0"},
+    {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
+    {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-wheel = "*"
-
 [[package]]
-name = "nvidia-cuda-nvrtc-cu11"
-version = "11.7.99"
+name = "nvidia-cuda-nvrtc-cu12"
+version = "12.1.105"
 description = "NVRTC native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl", hash = "sha256:9f1562822ea264b7e34ed5930567e89242d266448e936b85bc97a3370feabb03"},
-    {file = "nvidia_cuda_nvrtc_cu11-11.7.99-py3-none-manylinux1_x86_64.whl", hash = "sha256:f7d9610d9b7c331fa0da2d1b2858a4a8315e6d49765091d28711c8946e7425e7"},
-    {file = "nvidia_cuda_nvrtc_cu11-11.7.99-py3-none-win_amd64.whl", hash = "sha256:f2effeb1309bdd1b3854fc9b17eaf997808f8b25968ce0c7070945c4265d64a3"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
+    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-wheel = "*"
-
 [[package]]
-name = "nvidia-cuda-runtime-cu11"
-version = "11.7.99"
+name = "nvidia-cuda-runtime-cu12"
+version = "12.1.105"
 description = "CUDA Runtime native Libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl", hash = "sha256:cc768314ae58d2641f07eac350f40f99dcb35719c4faff4bc458a7cd2b119e31"},
-    {file = "nvidia_cuda_runtime_cu11-11.7.99-py3-none-win_amd64.whl", hash = "sha256:bc77fa59a7679310df9d5c70ab13c4e34c64ae2124dd1efd7e5474b71be125c7"},
+    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
+    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-wheel = "*"
-
 [[package]]
-name = "nvidia-cudnn-cu11"
-version = "8.5.0.96"
+name = "nvidia-cudnn-cu12"
+version = "9.1.0.70"
 description = "cuDNN runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl", hash = "sha256:402f40adfc6f418f9dae9ab402e773cfed9beae52333f6d86ae3107a1b9527e7"},
-    {file = "nvidia_cudnn_cu11-8.5.0.96-py3-none-manylinux1_x86_64.whl", hash = "sha256:71f8111eb830879ff2836db3cccf03bbd735df9b0d17cd93761732ac50a8a108"},
+    {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f"},
+    {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-win_amd64.whl", hash = "sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a"},
 ]
 
 [package.dependencies]
-setuptools = "*"
-wheel = "*"
+nvidia-cublas-cu12 = "*"
 
 [[package]]
-name = "nvidia-cufft-cu11"
-version = "10.9.0.58"
+name = "nvidia-cufft-cu12"
+version = "11.0.2.54"
 description = "CUFFT native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux1_x86_64.whl", hash = "sha256:222f9da70c80384632fd6035e4c3f16762d64ea7a843829cb278f98b3cb7dd81"},
-    {file = "nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux2014_aarch64.whl", hash = "sha256:34b7315104e615b230dc3c2d1861f13bff9ec465c5d3b4bb65b4986d03a1d8d4"},
-    {file = "nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux2014_x86_64.whl", hash = "sha256:e21037259995243cc370dd63c430d77ae9280bedb68d5b5a18226bfc92e5d748"},
-    {file = "nvidia_cufft_cu11-10.9.0.58-py3-none-win_amd64.whl", hash = "sha256:c4d316f17c745ec9c728e30409612eaf77a8404c3733cdf6c9c1569634d1ca03"},
+    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
+    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
 ]
 
 [[package]]
-name = "nvidia-curand-cu11"
-version = "10.2.10.91"
+name = "nvidia-curand-cu12"
+version = "10.3.2.106"
 description = "CURAND native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_curand_cu11-10.2.10.91-py3-none-manylinux1_x86_64.whl", hash = "sha256:eecb269c970fa599a2660c9232fa46aaccbf90d9170b96c462e13bcb4d129e2c"},
-    {file = "nvidia_curand_cu11-10.2.10.91-py3-none-win_amd64.whl", hash = "sha256:f742052af0e1e75523bde18895a9ed016ecf1e5aa0ecddfcc3658fd11a1ff417"},
+    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
+    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-wheel = "*"
-
 [[package]]
-name = "nvidia-cusolver-cu11"
-version = "11.4.0.1"
+name = "nvidia-cusolver-cu12"
+version = "11.4.5.107"
 description = "CUDA solver native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cusolver_cu11-11.4.0.1-2-py3-none-manylinux1_x86_64.whl", hash = "sha256:72fa7261d755ed55c0074960df5904b65e2326f7adce364cbe4945063c1be412"},
-    {file = "nvidia_cusolver_cu11-11.4.0.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:700b781bfefd57d161443aff9ace1878584b93e0b2cfef3d6e9296d96febbf99"},
-    {file = "nvidia_cusolver_cu11-11.4.0.1-py3-none-win_amd64.whl", hash = "sha256:00f70b256add65f8c1eb3b6a65308795a93e7740f6df9e273eccbba770d370c4"},
+    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
+    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
 ]
 
 [package.dependencies]
-setuptools = "*"
-wheel = "*"
+nvidia-cublas-cu12 = "*"
+nvidia-cusparse-cu12 = "*"
+nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
-name = "nvidia-cusparse-cu11"
-version = "11.7.4.91"
+name = "nvidia-cusparse-cu12"
+version = "12.1.0.106"
 description = "CUSPARSE native runtime libraries"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_cusparse_cu11-11.7.4.91-py3-none-manylinux1_x86_64.whl", hash = "sha256:a3389de714db63321aa11fbec3919271f415ef19fda58aed7f2ede488c32733d"},
-    {file = "nvidia_cusparse_cu11-11.7.4.91-py3-none-win_amd64.whl", hash = "sha256:304a01599534f5186a8ed1c3756879282c72c118bc77dd890dc1ff868cad25b9"},
+    {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
+    {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
 ]
 
 [package.dependencies]
-setuptools = "*"
-wheel = "*"
+nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
-name = "nvidia-nccl-cu11"
-version = "2.14.3"
+name = "nvidia-nccl-cu12"
+version = "2.20.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nccl_cu11-2.14.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:5e5534257d1284b8e825bc3a182c6f06acd6eb405e9f89d49340e98cd8f136eb"},
+    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
+    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"},
 ]
 
 [[package]]
-name = "nvidia-nvtx-cu11"
-version = "11.7.91"
-description = "NVIDIA Tools Extension"
+name = "nvidia-nvjitlink-cu12"
+version = "12.6.77"
+description = "Nvidia JIT LTO Library"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nvtx_cu11-11.7.91-py3-none-manylinux1_x86_64.whl", hash = "sha256:b22c64eee426a62fc00952b507d6d29cf62b4c9df7a480fcc417e540e05fd5ac"},
-    {file = "nvidia_nvtx_cu11-11.7.91-py3-none-win_amd64.whl", hash = "sha256:dfd7fcb2a91742513027d63a26b757f38dd8b07fecac282c4d132a9d373ff064"},
+    {file = "nvidia_nvjitlink_cu12-12.6.77-py3-none-manylinux2014_aarch64.whl", hash = "sha256:3bf10d85bb1801e9c894c6e197e44dd137d2a0a9e43f8450e9ad13f2df0dd52d"},
+    {file = "nvidia_nvjitlink_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl", hash = "sha256:9ae346d16203ae4ea513be416495167a0101d33d2d14935aa9c1829a3fb45142"},
+    {file = "nvidia_nvjitlink_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:410718cd44962bed862a31dd0318620f6f9a8b28a6291967bcfcb446a6516771"},
 ]
 
-[package.dependencies]
-setuptools = "*"
-wheel = "*"
+[[package]]
+name = "nvidia-nvtx-cu12"
+version = "12.1.105"
+description = "NVIDIA Tools Extension"
+optional = true
+python-versions = ">=3"
+files = [
+    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
+    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
+]
 
 [[package]]
 name = "opencv-python-headless"
@@ -3956,8 +3900,8 @@ files = [
 numpy = [
     {version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
     {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
-    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
     {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
     {version = ">=1.21.0", markers = "python_version == \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
     {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
 ]
@@ -3986,51 +3930,89 @@ files = [
 
 [[package]]
 name = "pandas"
-version = "1.5.3"
+version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "pandas-1.5.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3749077d86e3a2f0ed51367f30bf5b82e131cc0f14260c4d3e499186fccc4406"},
-    {file = "pandas-1.5.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:972d8a45395f2a2d26733eb8d0f629b2f90bebe8e8eddbb8829b180c09639572"},
-    {file = "pandas-1.5.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:50869a35cbb0f2e0cd5ec04b191e7b12ed688874bd05dd777c19b28cbea90996"},
-    {file = "pandas-1.5.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c3ac844a0fe00bfaeb2c9b51ab1424e5c8744f89860b138434a363b1f620f354"},
-    {file = "pandas-1.5.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7a0a56cef15fd1586726dace5616db75ebcfec9179a3a55e78f72c5639fa2a23"},
-    {file = "pandas-1.5.3-cp310-cp310-win_amd64.whl", hash = "sha256:478ff646ca42b20376e4ed3fa2e8d7341e8a63105586efe54fa2508ee087f328"},
-    {file = "pandas-1.5.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:6973549c01ca91ec96199e940495219c887ea815b2083722821f1d7abfa2b4dc"},
-    {file = "pandas-1.5.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c39a8da13cede5adcd3be1182883aea1c925476f4e84b2807a46e2775306305d"},
-    {file = "pandas-1.5.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f76d097d12c82a535fda9dfe5e8dd4127952b45fea9b0276cb30cca5ea313fbc"},
-    {file = "pandas-1.5.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e474390e60ed609cec869b0da796ad94f420bb057d86784191eefc62b65819ae"},
-    {file = "pandas-1.5.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5f2b952406a1588ad4cad5b3f55f520e82e902388a6d5a4a91baa8d38d23c7f6"},
-    {file = "pandas-1.5.3-cp311-cp311-win_amd64.whl", hash = "sha256:bc4c368f42b551bf72fac35c5128963a171b40dce866fb066540eeaf46faa003"},
-    {file = "pandas-1.5.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:14e45300521902689a81f3f41386dc86f19b8ba8dd5ac5a3c7010ef8d2932813"},
-    {file = "pandas-1.5.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9842b6f4b8479e41968eced654487258ed81df7d1c9b7b870ceea24ed9459b31"},
-    {file = "pandas-1.5.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:26d9c71772c7afb9d5046e6e9cf42d83dd147b5cf5bcb9d97252077118543792"},
-    {file = "pandas-1.5.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5fbcb19d6fceb9e946b3e23258757c7b225ba450990d9ed63ccceeb8cae609f7"},
-    {file = "pandas-1.5.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:565fa34a5434d38e9d250af3c12ff931abaf88050551d9fbcdfafca50d62babf"},
-    {file = "pandas-1.5.3-cp38-cp38-win32.whl", hash = "sha256:87bd9c03da1ac870a6d2c8902a0e1fd4267ca00f13bc494c9e5a9020920e1d51"},
-    {file = "pandas-1.5.3-cp38-cp38-win_amd64.whl", hash = "sha256:41179ce559943d83a9b4bbacb736b04c928b095b5f25dd2b7389eda08f46f373"},
-    {file = "pandas-1.5.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c74a62747864ed568f5a82a49a23a8d7fe171d0c69038b38cedf0976831296fa"},
-    {file = "pandas-1.5.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:c4c00e0b0597c8e4f59e8d461f797e5d70b4d025880516a8261b2817c47759ee"},
-    {file = "pandas-1.5.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a50d9a4336a9621cab7b8eb3fb11adb82de58f9b91d84c2cd526576b881a0c5a"},
-    {file = "pandas-1.5.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dd05f7783b3274aa206a1af06f0ceed3f9b412cf665b7247eacd83be41cf7bf0"},
-    {file = "pandas-1.5.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9f69c4029613de47816b1bb30ff5ac778686688751a5e9c99ad8c7031f6508e5"},
-    {file = "pandas-1.5.3-cp39-cp39-win32.whl", hash = "sha256:7cec0bee9f294e5de5bbfc14d0573f65526071029d036b753ee6507d2a21480a"},
-    {file = "pandas-1.5.3-cp39-cp39-win_amd64.whl", hash = "sha256:dfd681c5dc216037e0b0a2c821f5ed99ba9f03ebcf119c7dac0e9a7b960b9ec9"},
-    {file = "pandas-1.5.3.tar.gz", hash = "sha256:74a3fd7e5a7ec052f183273dc7b0acd3a863edf7520f5d3a1765c04ffdb3b0b1"},
+    {file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"},
+    {file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"},
+    {file = "pandas-2.2.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d9c45366def9a3dd85a6454c0e7908f2b3b8e9c138f5dc38fed7ce720d8453ed"},
+    {file = "pandas-2.2.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:86976a1c5b25ae3f8ccae3a5306e443569ee3c3faf444dfd0f41cda24667ad57"},
+    {file = "pandas-2.2.3-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:b8661b0238a69d7aafe156b7fa86c44b881387509653fdf857bebc5e4008ad42"},
+    {file = "pandas-2.2.3-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:37e0aced3e8f539eccf2e099f65cdb9c8aa85109b0be6e93e2baff94264bdc6f"},
+    {file = "pandas-2.2.3-cp310-cp310-win_amd64.whl", hash = "sha256:56534ce0746a58afaf7942ba4863e0ef81c9c50d3f0ae93e9497d6a41a057645"},
+    {file = "pandas-2.2.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:66108071e1b935240e74525006034333f98bcdb87ea116de573a6a0dccb6c039"},
+    {file = "pandas-2.2.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7c2875855b0ff77b2a64a0365e24455d9990730d6431b9e0ee18ad8acee13dbd"},
+    {file = "pandas-2.2.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cd8d0c3be0515c12fed0bdbae072551c8b54b7192c7b1fda0ba56059a0179698"},
+    {file = "pandas-2.2.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c124333816c3a9b03fbeef3a9f230ba9a737e9e5bb4060aa2107a86cc0a497fc"},
+    {file = "pandas-2.2.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:63cc132e40a2e084cf01adf0775b15ac515ba905d7dcca47e9a251819c575ef3"},
+    {file = "pandas-2.2.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:29401dbfa9ad77319367d36940cd8a0b3a11aba16063e39632d98b0e931ddf32"},
+    {file = "pandas-2.2.3-cp311-cp311-win_amd64.whl", hash = "sha256:3fc6873a41186404dad67245896a6e440baacc92f5b716ccd1bc9ed2995ab2c5"},
+    {file = "pandas-2.2.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b1d432e8d08679a40e2a6d8b2f9770a5c21793a6f9f47fdd52c5ce1948a5a8a9"},
+    {file = "pandas-2.2.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a5a1595fe639f5988ba6a8e5bc9649af3baf26df3998a0abe56c02609392e0a4"},
+    {file = "pandas-2.2.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5de54125a92bb4d1c051c0659e6fcb75256bf799a732a87184e5ea503965bce3"},
+    {file = "pandas-2.2.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fffb8ae78d8af97f849404f21411c95062db1496aeb3e56f146f0355c9989319"},
+    {file = "pandas-2.2.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:6dfcb5ee8d4d50c06a51c2fffa6cff6272098ad6540aed1a76d15fb9318194d8"},
+    {file = "pandas-2.2.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:062309c1b9ea12a50e8ce661145c6aab431b1e99530d3cd60640e255778bd43a"},
+    {file = "pandas-2.2.3-cp312-cp312-win_amd64.whl", hash = "sha256:59ef3764d0fe818125a5097d2ae867ca3fa64df032331b7e0917cf5d7bf66b13"},
+    {file = "pandas-2.2.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:f00d1345d84d8c86a63e476bb4955e46458b304b9575dcf71102b5c705320015"},
+    {file = "pandas-2.2.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:3508d914817e153ad359d7e069d752cdd736a247c322d932eb89e6bc84217f28"},
+    {file = "pandas-2.2.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:22a9d949bfc9a502d320aa04e5d02feab689d61da4e7764b62c30b991c42c5f0"},
+    {file = "pandas-2.2.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3a255b2c19987fbbe62a9dfd6cff7ff2aa9ccab3fc75218fd4b7530f01efa24"},
+    {file = "pandas-2.2.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:800250ecdadb6d9c78eae4990da62743b857b470883fa27f652db8bdde7f6659"},
+    {file = "pandas-2.2.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:6374c452ff3ec675a8f46fd9ab25c4ad0ba590b71cf0656f8b6daa5202bca3fb"},
+    {file = "pandas-2.2.3-cp313-cp313-win_amd64.whl", hash = "sha256:61c5ad4043f791b61dd4752191d9f07f0ae412515d59ba8f005832a532f8736d"},
+    {file = "pandas-2.2.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:3b71f27954685ee685317063bf13c7709a7ba74fc996b84fc6821c59b0f06468"},
+    {file = "pandas-2.2.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:38cf8125c40dae9d5acc10fa66af8ea6fdf760b2714ee482ca691fc66e6fcb18"},
+    {file = "pandas-2.2.3-cp313-cp313t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ba96630bc17c875161df3818780af30e43be9b166ce51c9a18c1feae342906c2"},
+    {file = "pandas-2.2.3-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1db71525a1538b30142094edb9adc10be3f3e176748cd7acc2240c2f2e5aa3a4"},
+    {file = "pandas-2.2.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:15c0e1e02e93116177d29ff83e8b1619c93ddc9c49083f237d4312337a61165d"},
+    {file = "pandas-2.2.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:ad5b65698ab28ed8d7f18790a0dc58005c7629f227be9ecc1072aa74c0c1d43a"},
+    {file = "pandas-2.2.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bc6b93f9b966093cb0fd62ff1a7e4c09e6d546ad7c1de191767baffc57628f39"},
+    {file = "pandas-2.2.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5dbca4c1acd72e8eeef4753eeca07de9b1db4f398669d5994086f788a5d7cc30"},
+    {file = "pandas-2.2.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:8cd6d7cc958a3910f934ea8dbdf17b2364827bb4dafc38ce6eef6bb3d65ff09c"},
+    {file = "pandas-2.2.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:99df71520d25fade9db7c1076ac94eb994f4d2673ef2aa2e86ee039b6746d20c"},
+    {file = "pandas-2.2.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:31d0ced62d4ea3e231a9f228366919a5ea0b07440d9d4dac345376fd8e1477ea"},
+    {file = "pandas-2.2.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:7eee9e7cea6adf3e3d24e304ac6b8300646e2a5d1cd3a3c2abed9101b0846761"},
+    {file = "pandas-2.2.3-cp39-cp39-win_amd64.whl", hash = "sha256:4850ba03528b6dd51d6c5d273c46f183f39a9baf3f0143e566b89450965b105e"},
+    {file = "pandas-2.2.3.tar.gz", hash = "sha256:4f18ba62b61d7e192368b84517265a99b4d7ee8912f8708660fb4a366cc82667"},
 ]
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.20.3", markers = "python_version < \"3.10\""},
-    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
-    {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.22.4", markers = "python_version < \"3.11\""},
+    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
+    {version = ">=1.23.2", markers = "python_version == \"3.11\""},
 ]
-python-dateutil = ">=2.8.1"
+python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
-
-[package.extras]
-test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
+tzdata = ">=2022.7"
+
+[package.extras]
+all = ["PyQt5 (>=5.15.9)", "SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)", "beautifulsoup4 (>=4.11.2)", "bottleneck (>=1.3.6)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=2022.12.0)", "fsspec (>=2022.11.0)", "gcsfs (>=2022.11.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.9.2)", "matplotlib (>=3.6.3)", "numba (>=0.56.4)", "numexpr (>=2.8.4)", "odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "pandas-gbq (>=0.19.0)", "psycopg2 (>=2.9.6)", "pyarrow (>=10.0.1)", "pymysql (>=1.0.2)", "pyreadstat (>=1.2.0)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "qtpy (>=2.3.0)", "s3fs (>=2022.11.0)", "scipy (>=1.10.0)", "tables (>=3.8.0)", "tabulate (>=0.9.0)", "xarray (>=2022.12.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)", "zstandard (>=0.19.0)"]
+aws = ["s3fs (>=2022.11.0)"]
+clipboard = ["PyQt5 (>=5.15.9)", "qtpy (>=2.3.0)"]
+compression = ["zstandard (>=0.19.0)"]
+computation = ["scipy (>=1.10.0)", "xarray (>=2022.12.0)"]
+consortium-standard = ["dataframe-api-compat (>=0.1.7)"]
+excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.1.0)", "python-calamine (>=0.1.7)", "pyxlsb (>=1.0.10)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.5)"]
+feather = ["pyarrow (>=10.0.1)"]
+fss = ["fsspec (>=2022.11.0)"]
+gcp = ["gcsfs (>=2022.11.0)", "pandas-gbq (>=0.19.0)"]
+hdf5 = ["tables (>=3.8.0)"]
+html = ["beautifulsoup4 (>=4.11.2)", "html5lib (>=1.1)", "lxml (>=4.9.2)"]
+mysql = ["SQLAlchemy (>=2.0.0)", "pymysql (>=1.0.2)"]
+output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.9.0)"]
+parquet = ["pyarrow (>=10.0.1)"]
+performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"]
+plot = ["matplotlib (>=3.6.3)"]
+postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
+pyarrow = ["pyarrow (>=10.0.1)"]
+spss = ["pyreadstat (>=1.2.0)"]
+sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"]
+test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
+xml = ["lxml (>=4.9.2)"]
 
 [[package]]
 name = "pandocfilters"
@@ -4656,13 +4638,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pymdown-extensions"
-version = "10.11.1"
+version = "10.11.2"
 description = "Extension pack for Python Markdown."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pymdown_extensions-10.11.1-py3-none-any.whl", hash = "sha256:a2b28f5786e041f19cb5bb30a1c2c853668a7099da8e3dd822a5ad05f2e855e3"},
-    {file = "pymdown_extensions-10.11.1.tar.gz", hash = "sha256:a8836e955851542fa2625d04d59fdf97125ca001377478ed5618e04f9183a59a"},
+    {file = "pymdown_extensions-10.11.2-py3-none-any.whl", hash = "sha256:41cdde0a77290e480cf53892f5c5e50921a7ee3e5cd60ba91bf19837b33badcf"},
+    {file = "pymdown_extensions-10.11.2.tar.gz", hash = "sha256:bc8847ecc9e784a098efd35e20cba772bc5a1b529dfcef9dc1972db9021a1049"},
 ]
 
 [package.dependencies]
@@ -4778,25 +4760,29 @@ files = [
 
 [[package]]
 name = "pywin32"
-version = "306"
+version = "307"
 description = "Python for Window Extensions"
 optional = true
 python-versions = "*"
 files = [
-    {file = "pywin32-306-cp310-cp310-win32.whl", hash = "sha256:06d3420a5155ba65f0b72f2699b5bacf3109f36acbe8923765c22938a69dfc8d"},
-    {file = "pywin32-306-cp310-cp310-win_amd64.whl", hash = "sha256:84f4471dbca1887ea3803d8848a1616429ac94a4a8d05f4bc9c5dcfd42ca99c8"},
-    {file = "pywin32-306-cp311-cp311-win32.whl", hash = "sha256:e65028133d15b64d2ed8f06dd9fbc268352478d4f9289e69c190ecd6818b6407"},
-    {file = "pywin32-306-cp311-cp311-win_amd64.whl", hash = "sha256:a7639f51c184c0272e93f244eb24dafca9b1855707d94c192d4a0b4c01e1100e"},
-    {file = "pywin32-306-cp311-cp311-win_arm64.whl", hash = "sha256:70dba0c913d19f942a2db25217d9a1b726c278f483a919f1abfed79c9cf64d3a"},
-    {file = "pywin32-306-cp312-cp312-win32.whl", hash = "sha256:383229d515657f4e3ed1343da8be101000562bf514591ff383ae940cad65458b"},
-    {file = "pywin32-306-cp312-cp312-win_amd64.whl", hash = "sha256:37257794c1ad39ee9be652da0462dc2e394c8159dfd913a8a4e8eb6fd346da0e"},
-    {file = "pywin32-306-cp312-cp312-win_arm64.whl", hash = "sha256:5821ec52f6d321aa59e2db7e0a35b997de60c201943557d108af9d4ae1ec7040"},
-    {file = "pywin32-306-cp37-cp37m-win32.whl", hash = "sha256:1c73ea9a0d2283d889001998059f5eaaba3b6238f767c9cf2833b13e6a685f65"},
-    {file = "pywin32-306-cp37-cp37m-win_amd64.whl", hash = "sha256:72c5f621542d7bdd4fdb716227be0dd3f8565c11b280be6315b06ace35487d36"},
-    {file = "pywin32-306-cp38-cp38-win32.whl", hash = "sha256:e4c092e2589b5cf0d365849e73e02c391c1349958c5ac3e9d5ccb9a28e017b3a"},
-    {file = "pywin32-306-cp38-cp38-win_amd64.whl", hash = "sha256:e8ac1ae3601bee6ca9f7cb4b5363bf1c0badb935ef243c4733ff9a393b1690c0"},
-    {file = "pywin32-306-cp39-cp39-win32.whl", hash = "sha256:e25fd5b485b55ac9c057f67d94bc203f3f6595078d1fb3b458c9c28b7153a802"},
-    {file = "pywin32-306-cp39-cp39-win_amd64.whl", hash = "sha256:39b61c15272833b5c329a2989999dcae836b1eed650252ab1b7bfbe1d59f30f4"},
+    {file = "pywin32-307-cp310-cp310-win32.whl", hash = "sha256:f8f25d893c1e1ce2d685ef6d0a481e87c6f510d0f3f117932781f412e0eba31b"},
+    {file = "pywin32-307-cp310-cp310-win_amd64.whl", hash = "sha256:36e650c5e5e6b29b5d317385b02d20803ddbac5d1031e1f88d20d76676dd103d"},
+    {file = "pywin32-307-cp310-cp310-win_arm64.whl", hash = "sha256:0c12d61e0274e0c62acee79e3e503c312426ddd0e8d4899c626cddc1cafe0ff4"},
+    {file = "pywin32-307-cp311-cp311-win32.whl", hash = "sha256:fec5d27cc893178fab299de911b8e4d12c5954e1baf83e8a664311e56a272b75"},
+    {file = "pywin32-307-cp311-cp311-win_amd64.whl", hash = "sha256:987a86971753ed7fdd52a7fb5747aba955b2c7fbbc3d8b76ec850358c1cc28c3"},
+    {file = "pywin32-307-cp311-cp311-win_arm64.whl", hash = "sha256:fd436897c186a2e693cd0437386ed79f989f4d13d6f353f8787ecbb0ae719398"},
+    {file = "pywin32-307-cp312-cp312-win32.whl", hash = "sha256:07649ec6b01712f36debf39fc94f3d696a46579e852f60157a729ac039df0815"},
+    {file = "pywin32-307-cp312-cp312-win_amd64.whl", hash = "sha256:00d047992bb5dcf79f8b9b7c81f72e0130f9fe4b22df613f755ab1cc021d8347"},
+    {file = "pywin32-307-cp312-cp312-win_arm64.whl", hash = "sha256:b53658acbfc6a8241d72cc09e9d1d666be4e6c99376bc59e26cdb6223c4554d2"},
+    {file = "pywin32-307-cp313-cp313-win32.whl", hash = "sha256:ea4d56e48dc1ab2aa0a5e3c0741ad6e926529510516db7a3b6981a1ae74405e5"},
+    {file = "pywin32-307-cp313-cp313-win_amd64.whl", hash = "sha256:576d09813eaf4c8168d0bfd66fb7cb3b15a61041cf41598c2db4a4583bf832d2"},
+    {file = "pywin32-307-cp313-cp313-win_arm64.whl", hash = "sha256:b30c9bdbffda6a260beb2919f918daced23d32c79109412c2085cbc513338a0a"},
+    {file = "pywin32-307-cp37-cp37m-win32.whl", hash = "sha256:5101472f5180c647d4525a0ed289ec723a26231550dbfd369ec19d5faf60e511"},
+    {file = "pywin32-307-cp37-cp37m-win_amd64.whl", hash = "sha256:05de55a7c110478dc4b202230e98af5e0720855360d2b31a44bb4e296d795fba"},
+    {file = "pywin32-307-cp38-cp38-win32.whl", hash = "sha256:13d059fb7f10792542082f5731d5d3d9645320fc38814759313e5ee97c3fac01"},
+    {file = "pywin32-307-cp38-cp38-win_amd64.whl", hash = "sha256:7e0b2f93769d450a98ac7a31a087e07b126b6d571e8b4386a5762eb85325270b"},
+    {file = "pywin32-307-cp39-cp39-win32.whl", hash = "sha256:55ee87f2f8c294e72ad9d4261ca423022310a6e79fb314a8ca76ab3f493854c6"},
+    {file = "pywin32-307-cp39-cp39-win_amd64.whl", hash = "sha256:e9d5202922e74985b037c9ef46778335c102b74b95cec70f629453dbe7235d87"},
 ]
 
 [[package]]
@@ -5218,18 +5204,19 @@ files = [
 
 [[package]]
 name = "rich"
-version = "13.8.1"
+version = "13.9.2"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
 optional = true
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
 files = [
-    {file = "rich-13.8.1-py3-none-any.whl", hash = "sha256:1760a3c0848469b97b558fc61c85233e3dafb69c7a071b4d60c38099d3cd4c06"},
-    {file = "rich-13.8.1.tar.gz", hash = "sha256:8260cda28e3db6bf04d2d1ef4dbc03ba80a824c88b0e7668a0f23126a424844a"},
+    {file = "rich-13.9.2-py3-none-any.whl", hash = "sha256:8c82a3d3f8dcfe9e734771313e606b39d8247bb6b826e196f4914b333b743cf1"},
+    {file = "rich-13.9.2.tar.gz", hash = "sha256:51a2c62057461aaf7152b4d611168f93a9fc73068f8ded2790f29fe2b5366d0c"},
 ]
 
 [package.dependencies]
 markdown-it-py = ">=2.2.0"
 pygments = ">=2.13.0,<3.0.0"
+typing-extensions = {version = ">=4.0.0,<5.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 jupyter = ["ipywidgets (>=7.5.1,<9)"]
@@ -5855,13 +5842,13 @@ files = [
 
 [[package]]
 name = "tomli"
-version = "2.0.1"
+version = "2.0.2"
 description = "A lil' TOML parser"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
-    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+    {file = "tomli-2.0.2-py3-none-any.whl", hash = "sha256:2ebe24485c53d303f690b0ec092806a085f07af5a5aa1464f3931eec36caaa38"},
+    {file = "tomli-2.0.2.tar.gz", hash = "sha256:d46d457a85337051c36524bc5349dd91b1877838e2979ac5ced3e710ed8a60ed"},
 ]
 
 [[package]]
@@ -5877,69 +5864,68 @@ files = [
 
 [[package]]
 name = "toolz"
-version = "0.12.1"
+version = "1.0.0"
 description = "List processing tools and functional utilities"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "toolz-0.12.1-py3-none-any.whl", hash = "sha256:d22731364c07d72eea0a0ad45bafb2c2937ab6fd38a3507bf55eae8744aa7d85"},
-    {file = "toolz-0.12.1.tar.gz", hash = "sha256:ecca342664893f177a13dac0e6b41cbd8ac25a358e5f215316d43e2100224f4d"},
+    {file = "toolz-1.0.0-py3-none-any.whl", hash = "sha256:292c8f1c4e7516bf9086f8850935c799a874039c8bcf959d47b600e4c44a6236"},
+    {file = "toolz-1.0.0.tar.gz", hash = "sha256:2c86e3d9a04798ac556793bced838816296a2f085017664e4995cb40a1047a02"},
 ]
 
 [[package]]
 name = "torch"
-version = "2.0.0"
+version = "2.4.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = true
 python-versions = ">=3.8.0"
 files = [
-    {file = "torch-2.0.0-1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:c9090bda7d2eeeecd74f51b721420dbeb44f838d4536cc1b284e879417e3064a"},
-    {file = "torch-2.0.0-1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:bd42db2a48a20574d2c33489e120e9f32789c4dc13c514b0c44272972d14a2d7"},
-    {file = "torch-2.0.0-1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:8969aa8375bcbc0c2993e7ede0a7f889df9515f18b9b548433f412affed478d9"},
-    {file = "torch-2.0.0-1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:ab2da16567cb55b67ae39e32d520d68ec736191d88ac79526ca5874754c32203"},
-    {file = "torch-2.0.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:7a9319a67294ef02459a19738bbfa8727bb5307b822dadd708bc2ccf6c901aca"},
-    {file = "torch-2.0.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:9f01fe1f6263f31bd04e1757946fd63ad531ae37f28bb2dbf66f5c826ee089f4"},
-    {file = "torch-2.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:527f4ae68df7b8301ee6b1158ca56350282ea633686537b30dbb5d7b4a52622a"},
-    {file = "torch-2.0.0-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:ce9b5a49bd513dff7950a5a07d6e26594dd51989cee05ba388b03e8e366fd5d5"},
-    {file = "torch-2.0.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:53e1c33c6896583cdb9a583693e22e99266444c4a43392dddc562640d39e542b"},
-    {file = "torch-2.0.0-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:09651bff72e439d004c991f15add0c397c66f98ab36fe60d5514b44e4da722e8"},
-    {file = "torch-2.0.0-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:d439aec349c98f12819e8564b8c54008e4613dd4428582af0e6e14c24ca85870"},
-    {file = "torch-2.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:2802f84f021907deee7e9470ed10c0e78af7457ac9a08a6cd7d55adef835fede"},
-    {file = "torch-2.0.0-cp311-none-macosx_10_9_x86_64.whl", hash = "sha256:01858620f25f25e7a9ec4b547ff38e5e27c92d38ec4ccba9cfbfb31d7071ed9c"},
-    {file = "torch-2.0.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:9a2e53b5783ef5896a6af338b36d782f28e83c8ddfc2ac44b67b066d9d76f498"},
-    {file = "torch-2.0.0-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:ec5fff2447663e369682838ff0f82187b4d846057ef4d119a8dea7772a0b17dd"},
-    {file = "torch-2.0.0-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:11b0384fe3c18c01b8fc5992e70fc519cde65e44c51cc87be1838c1803daf42f"},
-    {file = "torch-2.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:e54846aa63855298cfb1195487f032e413e7ac9cbfa978fda32354cc39551475"},
-    {file = "torch-2.0.0-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:cc788cbbbbc6eb4c90e52c550efd067586c2693092cf367c135b34893a64ae78"},
-    {file = "torch-2.0.0-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:d292640f0fd72b7a31b2a6e3b635eb5065fcbedd4478f9cad1a1e7a9ec861d35"},
-    {file = "torch-2.0.0-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:6befaad784004b7af357e3d87fa0863c1f642866291f12a4c2af2de435e8ac5c"},
-    {file = "torch-2.0.0-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:a83b26bd6ae36fbf5fee3d56973d9816e2002e8a3b7d9205531167c28aaa38a7"},
-    {file = "torch-2.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:c7e67195e1c3e33da53954b026e89a8e1ff3bc1aeb9eb32b677172d4a9b5dcbf"},
-    {file = "torch-2.0.0-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:6e0b97beb037a165669c312591f242382e9109a240e20054d5a5782d9236cad0"},
-    {file = "torch-2.0.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:297a4919aff1c0f98a58ebe969200f71350a1d4d4f986dbfd60c02ffce780e99"},
+    {file = "torch-2.4.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:362f82e23a4cd46341daabb76fba08f04cd646df9bfaf5da50af97cb60ca4971"},
+    {file = "torch-2.4.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:e8ac1985c3ff0f60d85b991954cfc2cc25f79c84545aead422763148ed2759e3"},
+    {file = "torch-2.4.1-cp310-cp310-win_amd64.whl", hash = "sha256:91e326e2ccfb1496e3bee58f70ef605aeb27bd26be07ba64f37dcaac3d070ada"},
+    {file = "torch-2.4.1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:d36a8ef100f5bff3e9c3cea934b9e0d7ea277cb8210c7152d34a9a6c5830eadd"},
+    {file = "torch-2.4.1-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:0b5f88afdfa05a335d80351e3cea57d38e578c8689f751d35e0ff36bce872113"},
+    {file = "torch-2.4.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:ef503165f2341942bfdf2bd520152f19540d0c0e34961232f134dc59ad435be8"},
+    {file = "torch-2.4.1-cp311-cp311-win_amd64.whl", hash = "sha256:092e7c2280c860eff762ac08c4bdcd53d701677851670695e0c22d6d345b269c"},
+    {file = "torch-2.4.1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:ddddbd8b066e743934a4200b3d54267a46db02106876d21cf31f7da7a96f98ea"},
+    {file = "torch-2.4.1-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:fdc4fe11db3eb93c1115d3e973a27ac7c1a8318af8934ffa36b0370efe28e042"},
+    {file = "torch-2.4.1-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:18835374f599207a9e82c262153c20ddf42ea49bc76b6eadad8e5f49729f6e4d"},
+    {file = "torch-2.4.1-cp312-cp312-win_amd64.whl", hash = "sha256:ebea70ff30544fc021d441ce6b219a88b67524f01170b1c538d7d3ebb5e7f56c"},
+    {file = "torch-2.4.1-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:72b484d5b6cec1a735bf3fa5a1c4883d01748698c5e9cfdbeb4ffab7c7987e0d"},
+    {file = "torch-2.4.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:c99e1db4bf0c5347107845d715b4aa1097e601bdc36343d758963055e9599d93"},
+    {file = "torch-2.4.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:b57f07e92858db78c5b72857b4f0b33a65b00dc5d68e7948a8494b0314efb880"},
+    {file = "torch-2.4.1-cp38-cp38-win_amd64.whl", hash = "sha256:f18197f3f7c15cde2115892b64f17c80dbf01ed72b008020e7da339902742cf6"},
+    {file = "torch-2.4.1-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:5fc1d4d7ed265ef853579caf272686d1ed87cebdcd04f2a498f800ffc53dab71"},
+    {file = "torch-2.4.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:40f6d3fe3bae74efcf08cb7f8295eaddd8a838ce89e9d26929d4edd6d5e4329d"},
+    {file = "torch-2.4.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:c9299c16c9743001ecef515536ac45900247f4338ecdf70746f2461f9e4831db"},
+    {file = "torch-2.4.1-cp39-cp39-win_amd64.whl", hash = "sha256:6bce130f2cd2d52ba4e2c6ada461808de7e5eccbac692525337cfb4c19421846"},
+    {file = "torch-2.4.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:a38de2803ee6050309aac032676536c3d3b6a9804248537e38e098d0e14817ec"},
 ]
 
 [package.dependencies]
 filelock = "*"
+fsspec = "*"
 jinja2 = "*"
 networkx = "*"
-nvidia-cublas-cu11 = {version = "11.10.3.66", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-cupti-cu11 = {version = "11.7.101", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-nvrtc-cu11 = {version = "11.7.99", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-runtime-cu11 = {version = "11.7.99", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cudnn-cu11 = {version = "8.5.0.96", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cufft-cu11 = {version = "10.9.0.58", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-curand-cu11 = {version = "10.2.10.91", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusolver-cu11 = {version = "11.4.0.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusparse-cu11 = {version = "11.7.4.91", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu11 = {version = "2.14.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvtx-cu11 = {version = "11.7.91", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+setuptools = "*"
 sympy = "*"
-triton = {version = "2.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-typing-extensions = "*"
+triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
+typing-extensions = ">=4.8.0"
 
 [package.extras]
 opt-einsum = ["opt-einsum (>=3.3)"]
+optree = ["optree (>=0.11.0)"]
 
 [[package]]
 name = "tornado"
@@ -5998,30 +5984,24 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "triton"
-version = "2.0.0"
+version = "3.0.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = true
 python-versions = "*"
 files = [
-    {file = "triton-2.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:38806ee9663f4b0f7cd64790e96c579374089e58f49aac4a6608121aa55e2505"},
-    {file = "triton-2.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:226941c7b8595219ddef59a1fdb821e8c744289a132415ddd584facedeb475b1"},
-    {file = "triton-2.0.0-1-cp36-cp36m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4c9fc8c89874bc48eb7e7b2107a9b8d2c0bf139778637be5bfccb09191685cfd"},
-    {file = "triton-2.0.0-1-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d2684b6a60b9f174f447f36f933e9a45f31db96cb723723ecd2dcfd1c57b778b"},
-    {file = "triton-2.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9d4978298b74fcf59a75fe71e535c092b023088933b2f1df933ec32615e4beef"},
-    {file = "triton-2.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:74f118c12b437fb2ca25e1a04759173b517582fcf4c7be11913316c764213656"},
-    {file = "triton-2.0.0-1-pp37-pypy37_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9618815a8da1d9157514f08f855d9e9ff92e329cd81c0305003eb9ec25cc5add"},
-    {file = "triton-2.0.0-1-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1aca3303629cd3136375b82cb9921727f804e47ebee27b2677fef23005c3851a"},
-    {file = "triton-2.0.0-1-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e3e13aa8b527c9b642e3a9defcc0fbd8ffbe1c80d8ac8c15a01692478dc64d8a"},
+    {file = "triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a"},
+    {file = "triton-3.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5ce8520437c602fb633f1324cc3871c47bee3b67acf9756c1a66309b60e3216c"},
+    {file = "triton-3.0.0-1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:34e509deb77f1c067d8640725ef00c5cbfcb2052a1a3cb6a6d343841f92624eb"},
+    {file = "triton-3.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bcbf3b1c48af6a28011a5c40a5b3b9b5330530c3827716b5fbf6d7adcc1e53e9"},
+    {file = "triton-3.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6e5727202f7078c56f91ff13ad0c1abab14a0e7f2c87e91b12b6f64f3e8ae609"},
 ]
 
 [package.dependencies]
-cmake = "*"
 filelock = "*"
-lit = "*"
-torch = "*"
 
 [package.extras]
-tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
+build = ["cmake (>=3.20)", "lit"]
+tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
 tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
@@ -6043,13 +6023,13 @@ typing-extensions = ">=3.7.4.3"
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.9.0.20240906"
+version = "2.9.0.20241003"
 description = "Typing stubs for python-dateutil"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "types-python-dateutil-2.9.0.20240906.tar.gz", hash = "sha256:9706c3b68284c25adffc47319ecc7947e5bb86b3773f843c73906fd598bc176e"},
-    {file = "types_python_dateutil-2.9.0.20240906-py3-none-any.whl", hash = "sha256:27c8cc2d058ccb14946eebcaaa503088f4f6dbc4fb6093d3d456a49aef2753f6"},
+    {file = "types-python-dateutil-2.9.0.20241003.tar.gz", hash = "sha256:58cb85449b2a56d6684e41aeefb4c4280631246a0da1a719bdbe6f3fb0317446"},
+    {file = "types_python_dateutil-2.9.0.20241003-py3-none-any.whl", hash = "sha256:250e1d8e80e7bbc3a6c99b907762711d1a1cdd00e978ad39cb5940f6f0a87f3d"},
 ]
 
 [[package]]
@@ -6063,6 +6043,17 @@ files = [
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
+[[package]]
+name = "tzdata"
+version = "2024.2"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+files = [
+    {file = "tzdata-2024.2-py2.py3-none-any.whl", hash = "sha256:a48093786cdcde33cad18c2555e8532f34422074448fbc874186f0abd79565cd"},
+    {file = "tzdata-2024.2.tar.gz", hash = "sha256:7d85cc416e9382e69095b7bdf4afd9e3880418a2413feec7069d533d6b4e31cc"},
+]
+
 [[package]]
 name = "uri-template"
 version = "1.3.0"
@@ -6261,20 +6252,6 @@ docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
-[[package]]
-name = "wheel"
-version = "0.44.0"
-description = "A built-package format for Python"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "wheel-0.44.0-py3-none-any.whl", hash = "sha256:2376a90c98cc337d18623527a97c31797bd02bad0033d41547043a1cbfbe448f"},
-    {file = "wheel-0.44.0.tar.gz", hash = "sha256:a29c3f2817e95ab89aa4660681ad547c0e9547f20e75b0562fe7723c9a2a9d49"},
-]
-
-[package.extras]
-test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
-
 [[package]]
 name = "widgetsnbextension"
 version = "4.0.13"
@@ -6425,4 +6402,4 @@ fractal-tasks = ["Pillow", "cellpose", "image_registration", "imageio-ffmpeg", "
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "ba05fa87326ca8d1145ae701f83e1417041de982c5aeb97d3c85ff41f3296d93"
+content-hash = "28364bae78b751d9c70e4eec1323a5b26e530c704d5817cdc5bf1057716e17b9"
diff --git a/pyproject.toml b/pyproject.toml
index 67721cb6e..1208fa51b 100755
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -27,8 +27,8 @@ python = "^3.9"
 dask = ">=2023.1.0"
 fsspec = "!=2023.9.0"
 zarr = ">=2.13.6,<3"
-numpy = "<2"
-pandas = ">=1.2.0,<2"
+numpy = "<=2.1.0"
+pandas = ">=1.2.0"
 lxml = "^4.9.1"
 pydantic = ">2,<=2.8.2"
 docstring-parser = "^0.15"
@@ -45,7 +45,7 @@ stackview = { version = "<0.9.0", optional = true }
 napari-skimage-regionprops = { version = "^0.8.1", optional = true }
 napari-tools-menu = { version = "^0.1.19", optional = true }
 cellpose = { version = "~2.2", optional = true }
-torch = { version = "<=2.0.0", optional = true }
+torch = { version = "<=3.0.0", optional = true }
 image_registration = { version = ">=0.2.9", optional = true }
 
 [tool.poetry.extras]


Test patch:
diff --git a/tests/test_unit_ROIs.py b/tests/test_unit_ROIs.py
index c7df147a7..eb8cc3bf4 100644
--- a/tests/test_unit_ROIs.py
+++ b/tests/test_unit_ROIs.py
@@ -135,7 +135,6 @@ def get_metadata_dataframe():
     "level,coarsening_xy,full_res_pxl_sizes_zyx", list_params
 )
 def test_ROI_indices_3D(level, coarsening_xy, full_res_pxl_sizes_zyx):
-
     metadata_dataframe = get_metadata_dataframe()
     adata = prepare_FOV_ROI_table(metadata_dataframe)
     assert list(adata.obs_names) == FOV_NAMES
@@ -193,7 +192,6 @@ def test_ROI_indices_3D(level, coarsening_xy, full_res_pxl_sizes_zyx):
     "level,coarsening_xy,full_res_pxl_sizes_zyx", list_params
 )
 def test_ROI_indices_2D(level, coarsening_xy, full_res_pxl_sizes_zyx):
-
     metadata_dataframe = get_metadata_dataframe()
     adata = prepare_FOV_ROI_table(metadata_dataframe)
     adata = convert_ROIs_from_3D_to_2D(adata, PIXEL_SIZE_Z)
@@ -238,7 +236,6 @@ def test_prepare_well_ROI_table(testdata_path: Path):
 
 
 def test_overlaps_in_indices():
-
     list_indices = [
         [0, 1, 100, 200, 1000, 2000],
         [0, 1, 200, 300, 1000, 2000],
@@ -478,7 +475,6 @@ def test_load_region_fail():
 
 
 def test_is_ROI_table_valid(tmp_path):
-
     # Write valid table to a zarr group
     columns = EXPECTED_COLUMNS.copy()
     adata = ad.AnnData(np.ones((1, len(columns))))
@@ -576,9 +572,9 @@ def test_search_first_ROI(testdata_path: Path):
         )
     )
     full_res_pxl_sizes_zyx = [
-        big_df["pixel_size_z"][0],
-        big_df["pixel_size_y"][0],
-        big_df["pixel_size_x"][0],
+        big_df["pixel_size_z"].iloc[0],
+        big_df["pixel_size_y"].iloc[0],
+        big_df["pixel_size_x"].iloc[0],
     ]
 
     well_ids = big_df.well_id.unique()