diff --git a/invokers/invoker_estimate_noise_cov_matrix.py b/invokers/invoker_estimate_noise_cov_matrix.py
index be170dfe..c0f8570c 100644
--- a/invokers/invoker_estimate_noise_cov_matrix.py
+++ b/invokers/invoker_estimate_noise_cov_matrix.py
@@ -1,8 +1,6 @@
 from pathlib import Path
-from colorama import Fore
 
 from kymata.io.yaml import load_config
-from kymata.io.cli import print_with_color
 from kymata.preproc.data_cleansing import estimate_noise_cov
 
 
diff --git a/invokers/invoker_run_hexel_current_estimation.py b/invokers/invoker_run_hexel_current_estimation.py
index 68c7baad..119c7a1f 100644
--- a/invokers/invoker_run_hexel_current_estimation.py
+++ b/invokers/invoker_run_hexel_current_estimation.py
@@ -3,7 +3,7 @@
 
 from kymata.io.yaml import load_config
 from kymata.io.cli import print_with_color
-from kymata.preproc.hexel_current_estimation import create_current_estimation_prerequisites, create_forward_model_and_inverse_solution, create_hexel_morph_maps
+from kymata.preproc.hexel_current_estimation import create_forward_model_and_inverse_solution, create_hexel_morph_maps
 
 
 # noinspection DuplicatedCode
diff --git a/invokers/run_gridsearch.py b/invokers/run_gridsearch.py
index 3f088369..f1a2b777 100644
--- a/invokers/run_gridsearch.py
+++ b/invokers/run_gridsearch.py
@@ -7,7 +7,6 @@
 from kymata.io.functions import load_function
 from kymata.preproc.source import load_emeg_pack
 from kymata.io.nkg import save_expression_set
-from kymata.io.yaml import load_config
 from kymata.plot.plot import expression_plot
 
 _default_output_dir = Path(data_root_path(), "output")
@@ -64,7 +63,7 @@ def main():
     args = parser.parse_args()
 
     # TODO: use config for ppt lists etc
-    config = load_config(str(Path(Path(__file__).parent.parent, "kymata", "config", "dataset4.yaml")))
+    #config = load_config(str(Path(Path(__file__).parent.parent, "kymata", "config", "dataset4.yaml")))
 
     participants = [
         'pilot_01',
@@ -98,8 +97,8 @@ def main():
 
     if (len(emeg_filenames) > 1) and (not args.morph) and (args.ave_mode == "ave") and (args.inverse_operator_dir is not None):
         raise ValueError(
-            f"Averaging source-space results without morphing to a common space. "
-            f"If you are averaging over multiple participants you must morph to a common space.")
+            "Averaging source-space results without morphing to a common space. " +
+            "If you are averaging over multiple participants you must morph to a common space.")
 
     # Load data
     emeg_path = Path(args.base_dir, args.emeg_dir)
diff --git a/kymata/datasets/sample.py b/kymata/datasets/sample.py
index 0e276a72..c002fc3a 100644
--- a/kymata/datasets/sample.py
+++ b/kymata/datasets/sample.py
@@ -141,7 +141,7 @@ def delete_dataset(local_dataset: SampleDataset):
     # Make sure it's not silent
     print(f"Deleting dataset {local_dataset.name}")
     # Only allow deletion if the specified url is within the data dir
-    assert data_root_path() in local_dataset.path.parents, f"Cannot delete dataset outside of data root directory"
+    assert data_root_path() in local_dataset.path.parents, "Cannot delete dataset outside of data root directory"
     if not local_dataset.path.exists():
         # Nothing to delete
         print(f"{str(local_dataset.path)} doesn't exist")
diff --git a/kymata/gridsearch/plain.py b/kymata/gridsearch/plain.py
index a5908136..eef2c44c 100644
--- a/kymata/gridsearch/plain.py
+++ b/kymata/gridsearch/plain.py
@@ -43,7 +43,9 @@ def do_gridsearch(
     n_samples_per_split = int(seconds_per_split * emeg_sample_rate * 2 // downsample_rate)
 
     if ave_mode == 'add':
-        n_reps = len(EMEG_paths)
+        # TODO:  hard-code hack, fix as part of https://github.com/kymata-atlas/kymata-toolbox/issues/128
+        #n_reps = len(EMEG_paths)
+        n_reps = 1
     else:
         n_reps = 1
 
diff --git a/kymata/io/functions.py b/kymata/io/functions.py
index 92f99e1c..688a9f84 100644
--- a/kymata/io/functions.py
+++ b/kymata/io/functions.py
@@ -1,6 +1,5 @@
 from pathlib import Path
 
-from numpy import array, float16, convolve, mean
 import numpy as np
 from numpy.typing import NDArray
 from scipy.io import loadmat
@@ -26,7 +25,6 @@ def load_function(function_path_without_suffix: path_type, func_name: str, n_der
             n_chans = func.shape[0]
             new_mr_arr = np.zeros((n_chans, 400_000))
             new_ft_arr = np.zeros((n_chans, 400_000))
-            T_end = tt[0, -1]
             if func_name == 'neurogram_mr':
                 for i in range(n_chans):
                     new_mr_arr[i] = np.interp(np.linspace(0, 400, 400_000 + 1)[:-1], tt[0], func[i])
diff --git a/kymata/io/nkg.py b/kymata/io/nkg.py
index 36ee3189..5205596c 100644
--- a/kymata/io/nkg.py
+++ b/kymata/io/nkg.py
@@ -263,7 +263,7 @@ def _load_data_current(from_path_or_file: path_type | file_type) -> dict[str, An
         with TextIOWrapper(zf.open("_metadata/expression-set-type.txt"), encoding="utf-8") as f:
             return_dict[_Keys.expressionset_type] = str(f.read()).strip()
         with TextIOWrapper(zf.open("/blocks.txt"), encoding="utf-8") as f:
-            blocks = [str(l.strip()) for l in f.readlines()]
+            blocks = [str(line.strip()) for line in f.readlines()]
         with TextIOWrapper(zf.open("/latencies.txt"), encoding="utf-8") as f:
             return_dict[_Keys.latencies] = [LatencyDType(lat.strip()) for lat in f.readlines()]
         with TextIOWrapper(zf.open("/functions.txt"), encoding="utf-8") as f:
diff --git a/kymata/io/nkg_compatibility.py b/kymata/io/nkg_compatibility.py
index f887aa61..f69cbaa4 100644
--- a/kymata/io/nkg_compatibility.py
+++ b/kymata/io/nkg_compatibility.py
@@ -37,7 +37,7 @@ def _load_data_0_3(from_path_or_file: path_type | file_type) -> dict[str, Any]:
         with TextIOWrapper(zf.open("_metadata/expression-set-type.txt"), encoding="utf-8") as f:
             return_dict["expressionset-type"] = str(f.read()).strip()
         with TextIOWrapper(zf.open("/layers.txt"), encoding="utf-8") as f:
-            layers = [str(l.strip()) for l in f.readlines()]
+            layers = [str(line.strip()) for line in f.readlines()]
         with TextIOWrapper(zf.open("/channels.txt"), encoding="utf-8") as f:
             return_dict["channels"] = [c.strip() for c in f.readlines()]
         with TextIOWrapper(zf.open("/latencies.txt"), encoding="utf-8") as f:
@@ -76,7 +76,7 @@ def _load_data_0_2(from_path_or_file: path_type | file_type) -> dict[str, Any]:
         with TextIOWrapper(zf.open("_metadata/expression-set-type.txt"), encoding="utf-8") as f:
             return_dict["expressionset-type"] = str(f.read()).strip()
         with TextIOWrapper(zf.open("/layers.txt"), encoding="utf-8") as f:
-            layers = [str(l.strip()) for l in f.readlines()]
+            layers = [str(line.strip()) for line in f.readlines()]
         with TextIOWrapper(zf.open("/channels.txt"), encoding="utf-8") as f:
             return_dict["channels"] = [c.strip() for c in f.readlines()]
         with TextIOWrapper(zf.open("/latencies.txt"), encoding="utf-8") as f:
diff --git a/kymata/ippm/__init__.py b/kymata/ippm/__init__.py
index e69de29b..8b137891 100644
--- a/kymata/ippm/__init__.py
+++ b/kymata/ippm/__init__.py
@@ -0,0 +1 @@
+
diff --git a/kymata/ippm/data_tools.py b/kymata/ippm/data_tools.py
index 845e8014..76f30467 100644
--- a/kymata/ippm/data_tools.py
+++ b/kymata/ippm/data_tools.py
@@ -10,7 +10,6 @@
 import pandas as pd
 from sklearn.preprocessing import normalize
 from sklearn.metrics.pairwise import euclidean_distances
-from copy import deepcopy
 import requests
 import seaborn as sns
 from matplotlib.lines import Line2D
@@ -102,7 +101,7 @@ def build_hexel_dict_from_expression_set(expression_set: HexelExpressionSet) ->
             func = row[DIM_FUNCTION]
             latency = row[DIM_LATENCY] * 1000  # convert to ms
             pval = row["value"]
-            if not func in hexels:
+            if func not in hexels:
                 hexels[func] = IPPMHexel(func)
             hexels[func].add_pairing(hemi, (latency, pval))
     return hexels
@@ -127,7 +126,7 @@ def build_hexel_dict_from_api_response(dict_: Dict) -> Dict[str, IPPMHexel]:
         for (_, latency, pval, func) in dict_[hemi]:
             # we have id, latency (ms), pvalue (log_10), function name.
             # discard id as it conveys no useful information
-            if not func in hexels:
+            if func not in hexels:
                 # first time seeing function, so create key and hexel object.
                 hexels[func] = IPPMHexel(func)
             
@@ -209,7 +208,7 @@ def stem_plot(
     right_hem_expression_plot.invert_yaxis()
     left_hem_expression_plot.text(-180, y_limit * 10000000, 'left hemisphere', style='italic', verticalalignment='center')
     right_hem_expression_plot.text(-180, y_limit * 10000000, 'right hemisphere', style='italic', verticalalignment='center')
-    y_axis_label = f'p-value (with α at 5-sigma, Bonferroni corrected)'
+    y_axis_label = 'p-value (with α at 5-sigma, Bonferroni corrected)'
     left_hem_expression_plot.text(-275, 1, y_axis_label, verticalalignment='center',rotation='vertical')
     right_hem_expression_plot.text(0, 1, '   onset of environment   ', color='white', fontsize='x-small', bbox={'facecolor': 'grey', 'edgecolor': 'none'}, verticalalignment='center', horizontalalignment='center', rotation='vertical')
     left_hem_expression_plot.legend(handles=custom_handles, labels=custom_labels, fontsize='x-small', bbox_to_anchor=(1.2, 1))
@@ -265,7 +264,7 @@ def function_recall(hexels: Dict[str, IPPMHexel], funcs: List[str], ippm_dict: D
     for func in funcs:
         pairings = hexels[func].right_best_pairings if hemi == 'rightHemisphere' else hexels[func].left_best_pairings
         for latency, spike in pairings:
-            if spike <= alpha:
+            if spike <= bonferroni_corrected_alpha:
                 funcs_present_in_data += 1
                 
                 # Step 2: Found a function, look in ippm_dict.keys() for the function.
@@ -291,7 +290,7 @@ def convert_to_power10(hexels: Dict[str, IPPMHexel]) -> Dict[str, IPPMHexel]:
 def remove_excess_funcs(to_retain: List[str], hexels: Dict[str, IPPMHexel]) -> Dict[str, IPPMHexel]:
     funcs = list(hexels.keys())
     for func in funcs:
-        if not func in to_retain:
+        if func not in to_retain:
             # delete
             hexels.pop(func)
     return hexels
diff --git a/kymata/ippm/denoiser.py b/kymata/ippm/denoiser.py
index 745683af..ad3e703b 100644
--- a/kymata/ippm/denoiser.py
+++ b/kymata/ippm/denoiser.py
@@ -6,7 +6,7 @@
 import pandas as pd
 from sklearn.cluster import DBSCAN as DBSCAN_, MeanShift as MeanShift_
 from sklearn.mixture import GaussianMixture
-from sklearn.preprocessing import StandardScaler, normalize
+from sklearn.preprocessing import normalize
 
 from .data_tools import IPPMHexel
 
@@ -155,7 +155,7 @@ def _check_hemi(self, hemi):
             ------
             ValueError if invalid hemi input.
         """
-        if not hemi in ['rightHemisphere', 'leftHemisphere']:
+        if hemi not in ['rightHemisphere', 'leftHemisphere']:
             print('Hemisphere needs to be rightHemisphere or leftHemisphere')
             raise ValueError
     
@@ -206,7 +206,7 @@ def _get_cluster_mins(self, df: pd.DataFrame) -> List[Tuple[float, float]]:
                 # label = -1 indicates anomaly, so exclude.
                 continue
                 
-            if not label in class_mins.keys():
+            if label not in class_mins.keys():
                 # first time seeing this class.
                 class_mins[label] = [float(row['Mag']), float(row['Latency'])]
             elif class_mins[label][0] > row['Mag']:
@@ -236,13 +236,15 @@ def __init__(self, **kwargs):
             bin_sz : int
                      the size, in ms, of a bin.
         """
-        
-        self._threshold = 15 if not 'threshold' in kwargs.keys() else kwargs['threshold']
-        self._bin_sz = 25 if not 'bin_sz' in kwargs.keys() else kwargs['bin_sz']
-        if type(self._threshold) != int:
+
+        self._threshold = 15 if 'threshold' not in kwargs.keys() else kwargs['threshold']
+        self._bin_sz = 25 if 'bin_sz' not in kwargs.keys() else kwargs['bin_sz']
+        if not isinstance(self._threshold, int):
+            # edge case with isinstance: bool is subtype of int, so technically a user can pass in a boolean value for an integer
+            # True = 1, False = 0.
             print('Threshold needs to be an integer.')
             raise ValueError
-        if type(self._bin_sz) != int:
+        if not isinstance(self._bin_sz, int):
             print('Bin size needs to be an integer.')
             raise ValueError
 
@@ -353,8 +355,10 @@ def cluster(
         self, hexels: Dict[str, IPPMHexel], hemi: str, normalise: bool = False,
         cluster_latency: bool = False, posterior_pooling: bool = False
     ) -> Dict[str, IPPMHexel]:
+        def get_default_vals():
+            return (np.inf, None)
+        
         hexels = deepcopy(hexels)
-        get_default_vals = lambda _: (np.inf, None)
         for func, df in super()._hexels_to_df(hexels, hemi):
             if len(df) == 0:
                 hexels = super()._update_pairings(hexels, func, [], hemi)
@@ -366,13 +370,13 @@ def cluster(
             end_ptr = 1 # guarenteed to have > 1 data point. delineates end of bin
             start_ptr = 0
             total_bins = 1000 / self._base_bin_sz
-            prev_bin_min, prev_bin_lat_min = get_default_vals('a')
+            prev_bin_min, prev_bin_lat_min = get_default_vals()
             prev_signi = False
             ret = []
             while df_ptr < len(df) and start_ptr < total_bins:
                 end_ms = end_ptr * self._base_bin_sz
                 num_in_bin = 0
-                cur_bin_min, cur_bin_lat_min = get_default_vals('a')
+                cur_bin_min, cur_bin_lat_min = get_default_vals()
                 while df_ptr < len(df) and df.iloc[df_ptr, 0] < end_ms:
                     if df.iloc[df_ptr, 1] < cur_bin_min:
                         cur_bin_min, cur_bin_lat_min = df.iloc[df_ptr, 1], df.iloc[df_ptr, 0]
@@ -387,14 +391,14 @@ def cluster(
                     if prev_signi:
                         # start_ptr to end_ptr is significant
                         ret.append((prev_bin_lat_min, prev_bin_min))
-                        prev_bin_min, prev_bin_lat_min = get_default_vals('a')
+                        prev_bin_min, prev_bin_lat_min = get_default_vals()
                         prev_signi = False
                     start_ptr = end_ptr
                     end_ptr += 1
             if prev_signi:
                 # last bin was significant and we expanded
                 ret.append((prev_bin_lat_min, prev_bin_min))
-                prev_bin_min, prev_bin_lat_min = get_default_vals('a')
+                prev_bin_min, prev_bin_lat_min = get_default_vals()
                 prev_signi = False
             hexels = super()._update_pairings(hexels, func, ret, hemi)
         return hexels if not posterior_pooling else super()._posterior_pooling(hexels, hemi)
@@ -425,31 +429,31 @@ def __init__(self, **kwargs):
                            set this if you want your results to be reproducible.
         """
         # we are instantiating multiple models, so save hyperparameters instead of clusterer object.
-        self._max_gaussians = 5 if not 'max_gaussians' in kwargs.keys() else kwargs['max_gaussians']
-        self._covariance_type = 'full' if not 'covariance_type' in kwargs.keys() else kwargs['covariance_type']
-        self._max_iter = 1000 if not 'max_iter' in kwargs.keys() else kwargs['max_iter']
-        self._n_init = 8 if not 'n_init' in kwargs.keys() else kwargs['n_init']
-        self._init_params = 'kmeans' if not 'init_params' in kwargs.keys() else kwargs['init_params']
-        self._random_state = None if not 'random_state' in kwargs.keys() else kwargs['random_state']
-        self._is_aic = False if not 'is_aic' in kwargs.keys() else kwargs['is_aic'] # default is BIC since it is better for explanatory models, since it assumes reality lies within the hypothesis space.
+        self._max_gaussians = 5 if 'max_gaussians' not in kwargs.keys() else kwargs['max_gaussians']
+        self._covariance_type = 'full' if 'covariance_type' not in kwargs.keys() else kwargs['covariance_type']
+        self._max_iter = 1000 if 'max_iter' not in kwargs.keys() else kwargs['max_iter']
+        self._n_init = 8 if 'n_init' not in kwargs.keys() else kwargs['n_init']
+        self._init_params = 'kmeans' if 'init_params' not in kwargs.keys() else kwargs['init_params']
+        self._random_state = None if 'random_state' not in kwargs.keys() else kwargs['random_state']
+        self._is_aic = False if 'is_aic' not in kwargs.keys() else kwargs['is_aic'] # default is BIC since it is better for explanatory models, since it assumes reality lies within the hypothesis space.
 
         invalid = False
-        if type(self._max_gaussians) != int:
+        if not isinstance(self._max_gaussians, int):
             print('Max Gaussians must be of type int.')
             invalid = True
-        if not self._covariance_type in ['full', 'tied', 'diag', 'spherical']:
+        if self._covariance_type not in ['full', 'tied', 'diag', 'spherical']:
             print('Covariance type must be one of {full, tied, diag, spherical}')
             invalid = True
-        if type(self._max_iter) != int:
+        if not isinstance(self._max_iter, int):
             print('Max iterations must be of type int.')
             invalid = True
-        if type(self._n_init) != int:
+        if not isinstance(self._n_init, int):
             print('Number of initialisations must be of type int.')
             invalid = True
-        if not self._init_params in ['kmeans', 'k-means++', 'random', 'random_from_data']:
+        if self._init_params not in ['kmeans', 'k-means++', 'random', 'random_from_data']:
             print('Initalisation of parameter strategy must be one of {kmeans, k-means++, random, random_from_data}')
             invalid = True
-        if self._random_state != None and type(self._random_state) != int:
+        if self._random_state is not None and not isinstance(self._random_state, int):
             print('Random state must be none or int.')
             invalid = True
         
@@ -555,34 +559,34 @@ class DBSCAN(DenoisingStrategy):
                  the number of processors to use. -1 means use all available ones
     """
     def __init__(self, **kwargs):
-        eps = 10 if not 'eps' in kwargs.keys() else kwargs['eps']
-        min_samples = 2 if not 'min_samples' in kwargs.keys() else kwargs['min_samples']
-        metric = 'euclidean' if not 'metric' in kwargs.keys() else kwargs['metric']
-        metric_params = None if not 'metric_params' in kwargs.keys() else kwargs['metric_params']
-        algorithm = 'auto' if not 'algorithm' in kwargs.keys() else kwargs['algorithm']
-        leaf_size = 30 if not 'leaf_size' in kwargs.keys() else kwargs['leaf_size']
-        n_jobs = -1 if not 'n_jobs' in kwargs.keys() else kwargs['n_jobs']
+        eps = 10 if 'eps' not in kwargs.keys() else kwargs['eps']
+        min_samples = 2 if 'min_samples' not in kwargs.keys() else kwargs['min_samples']
+        metric = 'euclidean' if 'metric' not in kwargs.keys() else kwargs['metric']
+        metric_params = None if 'metric_params' not in kwargs.keys() else kwargs['metric_params']
+        algorithm = 'auto' if 'algorithm' not in kwargs.keys() else kwargs['algorithm']
+        leaf_size = 30 if 'leaf_size' not in kwargs.keys() else kwargs['leaf_size']
+        n_jobs = -1 if 'n_jobs' not in kwargs.keys() else kwargs['n_jobs']
 
         invalid = False
-        if type(eps) != int and type(eps) != float:
+        if not (isinstance(eps, int) or isinstance(eps, float)):
             print('Epsilon must be of numeric type.')
             invalid = True
-        if type(min_samples) != int and type(min_samples) != float:
+        if not isinstance(min_samples, int):
             print('Min samples must be of type integer.')
             invalid = True
-        if type(metric) != str:
+        if not isinstance(metric, str):
             print('Metric must be a string. It should be one from https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html#sklearn.metrics.pairwise_distances')
             invalid = True
-        if metric_params != None and type(metric_params) != dict:
+        if metric_params is not None and not isinstance(metric_params, dict):
             print('Metric params must be a dict or None.')
             invalid = True
-        if not algorithm in ['auto', 'ball_tree', 'kd_tree', 'brute']:
+        if algorithm not in ['auto', 'ball_tree', 'kd_tree', 'brute']:
             print('Algorithm must be one of {auto, ball_tree, kd_tree, brute}')
             invalid = True
-        if type(leaf_size) != int:
+        if not isinstance(leaf_size, int):
             print('leaf_size must be of type int.')
             invalid = True
-        if type(n_jobs) != int:
+        if not isinstance(n_jobs, int):
             print('The number of jobs must be of type int.')
             invalid = True
 
@@ -619,26 +623,26 @@ class MeanShift(DenoisingStrategy):
                  the number of processors used. -1 means use all available processors.
     """
     def __init__(self, **kwargs):
-        cluster_all = False if not 'cluster_all' in kwargs.keys() else kwargs['cluster_all']
-        bandwidth = 30 if not 'bandwidth' in kwargs.keys() else kwargs['bandwidth']
-        seeds = None if not 'seeds' in kwargs.keys() else kwargs['seeds']
-        min_bin_freq = 2 if not 'min_bin_freq' in kwargs.keys() else kwargs['min_bin_freq']
-        n_jobs = -1 if not 'n_jobs' in kwargs.keys() else kwargs['n_jobs']
+        cluster_all = False if 'cluster_all' not in kwargs.keys() else kwargs['cluster_all']
+        bandwidth = 30 if 'bandwidth' not in kwargs.keys() else kwargs['bandwidth']
+        seeds = None if 'seeds' not in kwargs.keys() else kwargs['seeds']
+        min_bin_freq = 2 if 'min_bin_freq' not in kwargs.keys() else kwargs['min_bin_freq']
+        n_jobs = -1 if 'n_jobs' not in kwargs.keys() else kwargs['n_jobs']
         
         invalid = False
-        if type(cluster_all) != bool:
+        if not isinstance(cluster_all, bool):
             print('Cluster_all must be of type bool.')
             invalid = True
-        if type(bandwidth) != float and type(bandwidth) != int and bandwidth != None:
+        if not isinstance(bandwidth, float) and not isinstance(bandwidth, int) and bandwidth is not None:
             print('bandwidth must be None or float.')
             invalid = True
-        if type(seeds) != list and seeds != None:
+        if not isinstance(seeds, list) and seeds is not None:
             print('Seeds must be a list or None.')
             invalid = True
-        if type(min_bin_freq) != int:
+        if not isinstance(min_bin_freq, int):
             print('Mininum bin frequency must be of type int.')
             invalid = True
-        if type(n_jobs) != int:
+        if not isinstance(n_jobs, int):
             print('Number of jobs must be of type int.')
             invalid = True
 
diff --git a/kymata/ippm/plotter.py b/kymata/ippm/plotter.py
index cdc416e9..b53872bf 100644
--- a/kymata/ippm/plotter.py
+++ b/kymata/ippm/plotter.py
@@ -183,13 +183,13 @@ def _make_bspline_path(self, ctr_points: np.array) -> List[np.array]:
         x = ctr_points[:, 0]
         y = ctr_points[:, 1]
 
-        l = len(x)
-        t = np.linspace(0, 1, l - 2, endpoint=True)
+        length = len(x)
+        t = np.linspace(0, 1, length - 2, endpoint=True)
         t = np.append([0, 0, 0], t)
         t = np.append(t, [1, 1, 1])
 
         tck = [t, [x, y], 3]
-        u3 = np.linspace(0, 1, (max(l * 2, 70)), endpoint=True)
+        u3 = np.linspace(0, 1, (max(length * 2, 70)), endpoint=True)
         bspline_path = splev(u3, tck)
 
         return bspline_path
\ No newline at end of file
diff --git a/kymata/plot/layouts.py b/kymata/plot/layouts.py
index bba40511..a4d0c810 100644
--- a/kymata/plot/layouts.py
+++ b/kymata/plot/layouts.py
@@ -24,7 +24,8 @@ def get_meg_sensor_xy() -> dict[str, Point2d]:
     with Path(Path(__file__).parent.parent.parent, "kymata-toolbox-data", "sensor_locations", "Vectorview-all.lout").open("r") as layout_file:
         _ = layout_file.readline()  # First line is nothing
         for line in layout_file:
-            if not line: continue  # Skip blank lines
+            if not line: 
+                continue  # Skip blank lines
             match = layout_line_re.match(line)
             sensor = match.group("sensor")
             sensor = sensor.replace(" ", "")
diff --git a/kymata/plot/plot.py b/kymata/plot/plot.py
index fa928a0e..02d99fa9 100644
--- a/kymata/plot/plot.py
+++ b/kymata/plot/plot.py
@@ -153,7 +153,8 @@ def expression_plot(
     sidak_corrected_alpha = p_to_logp(sidak_corrected_alpha)
 
     fig, axes = pyplot.subplots(nrows=2 if paired_axes else 1, ncols=1, figsize=(12, 7))
-    if isinstance(axes, pyplot.Axes): axes = (axes, )  # Wrap if necessary
+    if isinstance(axes, pyplot.Axes): 
+        axes = (axes, )  # Wrap if necessary
     fig.subplots_adjust(hspace=0)
     fig.subplots_adjust(right=0.84, left=0.08)
 
@@ -248,7 +249,7 @@ def expression_plot(
         bottom_ax.text(s=axes_names[1],
                        x=-180, y=ylim * 0.95,
                        style='italic', verticalalignment='center')
-    fig.supylabel(f'p-value (with α at 5-sigma, Šidák corrected)', x=0, y=0.5)
+    fig.supylabel('p-value (with α at 5-sigma, Šidák corrected)', x=0, y=0.5)
     bottom_ax.text(s='   onset of environment   ',
                    x=0, y=0 if paired_axes else ylim/2,  # vertically centred
                    color='white', fontsize='x-small',
diff --git a/kymata/preproc/data_cleansing.py b/kymata/preproc/data_cleansing.py
index 4390308f..ce2ecd2c 100755
--- a/kymata/preproc/data_cleansing.py
+++ b/kymata/preproc/data_cleansing.py
@@ -6,6 +6,7 @@
 from pandas import DataFrame, Index
 from pathlib import Path
 from matplotlib import pyplot as plt
+import seaborn as sns
 
 from kymata.io.cli import print_with_color, input_with_color
 from kymata.io.yaml import load_config, modify_param_config
@@ -37,7 +38,7 @@ def run_first_pass_cleansing_and_maxwell_filtering(list_of_participants: list[st
                 print_with_color(f"Loading participant {participant} [Run {str(run)}]...", Fore.GREEN)
 
                 # Load data
-                print_with_color(f"   Loading Raw data...", Fore.GREEN)
+                print_with_color("   Loading Raw data...", Fore.GREEN)
 
                 raw_fif_data = mne.io.Raw(
                     data_root_dir + dataset_directory_name + "/raw_emeg/" + participant + "/" + participant + "_run" + str(
@@ -62,20 +63,20 @@ def run_first_pass_cleansing_and_maxwell_filtering(list_of_participants: list[st
                 raw_fif_data.rename_channels(ecg_and_eog_channel_name_overwrites, allow_duplicates=False)
 
                 # Set bad channels (manually)
-                print_with_color(f"   Setting bad channels...", Fore.GREEN)
-                print_with_color(f"   ...manual", Fore.GREEN)
+                print_with_color("   Setting bad channels...", Fore.GREEN)
+                print_with_color("   ...manual", Fore.GREEN)
 
                 raw_fif_data.info['bads'] = recording_config['bad_channels']
 
                 response = input_with_color(
-                    f"Would you like to see the raw data? Recommended if you want to confirm"
-                    f" ECG, HEOG, VEOG are correct, and to mark further EEG bads (they will be saved directly) "
-                    f" (y/n)", Fore.MAGENTA)
+                    "Would you like to see the raw data? Recommended if you want to confirm" +
+                    " ECG, HEOG, VEOG are correct, and to mark further EEG bads (they will be saved directly) " +
+                    " (y/n)", Fore.MAGENTA)
                 if response == "y":
-                    print(f"...Plotting Raw data.")
+                    print("...Plotting Raw data.")
                     mne.viz.plot_raw(raw_fif_data, scalings='auto', block=True)
                 else:
-                    print(f"...assuming you want to continue without looking at the raw data.")
+                    print("...assuming you want to continue without looking at the raw data.")
 
                 # Write back selected bad channels back to participant's config .yaml file
                 modify_param_config(
@@ -89,12 +90,12 @@ def run_first_pass_cleansing_and_maxwell_filtering(list_of_participants: list[st
                 chpi_locs = mne.chpi.compute_chpi_locs(raw_fif_data.info, chpi_amplitudes)
                 head_pos_data = mne.chpi.compute_head_pos(raw_fif_data.info, chpi_locs, verbose=True)
 
-                print_with_color(f"   Removing CHPI ...", Fore.GREEN)
+                print_with_color("   Removing CHPI ...", Fore.GREEN)
 
                 # Remove hpi & line
                 raw_fif_data = mne.chpi.filter_chpi(raw_fif_data, include_line=False)
 
-                print_with_color(f"   Removing mains component (50Hz and harmonics) from MEG & EEG...", Fore.GREEN)
+                print_with_color("   Removing mains component (50Hz and harmonics) from MEG & EEG...", Fore.GREEN)
 
                 raw_fif_data.compute_psd(tmax=1000000, fmax=500, average='mean').plot()
 
@@ -110,11 +111,11 @@ def run_first_pass_cleansing_and_maxwell_filtering(list_of_participants: list[st
                 raw_fif_data.compute_psd(tmax=1000000, fmax=500, average='mean').plot()
 
                 if automatic_bad_channel_detection_requested:
-                    print_with_color(f"   ...automatic", Fore.GREEN)
+                    print_with_color("   ...automatic", Fore.GREEN)
                     raw_fif_data = apply_automatic_bad_channel_detection(raw_fif_data, emeg_machine_used_to_record_data)
 
                 # Apply SSS and movement compensation
-                print_with_color(f"   Applying SSS and movement compensation...", Fore.GREEN)
+                print_with_color("   Applying SSS and movement compensation...", Fore.GREEN)
 
                 fine_cal_file = str(Path(Path(__file__).parent.parent.parent, 'kymata-toolbox-data', 'cbu_specific_files/SSS/sss_cal_' + emeg_machine_used_to_record_data + '.dat'))
                 crosstalk_file = str(Path(Path(__file__).parent.parent.parent, 'kymata-toolbox-data', 'cbu_specific_files/SSS/ct_sparse_' + emeg_machine_used_to_record_data + '.fif'))
@@ -166,22 +167,22 @@ def run_second_pass_cleansing_and_EOG_removal(list_of_participants: list[str],
                     run) + '_raw_sss.fif'
 
                 # Load data
-                print_with_color(f"   Loading Raw data...", Fore.GREEN)
+                print_with_color("   Loading Raw data...", Fore.GREEN)
 
                 raw_fif_data_sss_movecomp_tr = mne.io.Raw(saved_maxfiltered_filename, preload=True)
 
                 if not supress_excessive_plots_and_prompts:
                     response = input_with_color(
-                        f"Would you like to see the SSS, movement compensated, raw data data? (y/n)",
+                        "Would you like to see the SSS, movement compensated, raw data data? (y/n)",
                         Fore.MAGENTA)
                     if response == "y":
-                        print(f"...Plotting Raw data.")
+                        print("...Plotting Raw data.")
                         mne.viz.plot_raw(raw_fif_data_sss_movecomp_tr, block=True)
                     else:
-                        print(f"[y] not pressed. Assuming you want to continue without looking at the raw data.")
+                        print("[y] not pressed. Assuming you want to continue without looking at the raw data.")
 
                 # EEG channel interpolation
-                print_with_color(f"   Interpolating EEG...", Fore.GREEN)
+                print_with_color("   Interpolating EEG...", Fore.GREEN)
 
                 print("Bads channels: " + str(raw_fif_data_sss_movecomp_tr.info["bads"]))
 
@@ -192,12 +193,12 @@ def run_second_pass_cleansing_and_EOG_removal(list_of_participants: list[str],
                                                                                             mode='accurate')
 
                 # Use common average reference, not the nose reference.
-                print_with_color(f"   Use common average EEG reference...", Fore.GREEN)
+                print_with_color("   Use common average EEG reference...", Fore.GREEN)
 
                 # raw_fif_data_sss_movecomp_tr = raw_fif_data_sss_movecomp_tr.set_eeg_reference(ref_channels='average')
 
                 # remove very slow drift
-                print_with_color(f"   Removing slow drift...", Fore.GREEN)
+                print_with_color("   Removing slow drift...", Fore.GREEN)
                 raw_fif_data_sss_movecomp_tr = raw_fif_data_sss_movecomp_tr.filter(l_freq=0.1, h_freq=None, picks=None)
 
                 # Remove ECG, VEOH and HEOG
@@ -244,7 +245,7 @@ def _remove_veoh_and_heog(filt_raw, ica):
     """
     Note: mutates `ica`.
     """
-    print(f"   ...Starting EOG removal.")
+    print("   ...Starting EOG removal.")
     eog_evoked = mne.preprocessing.create_eog_epochs(filt_raw).average()
     eog_evoked.apply_baseline(baseline=(None, -0.2))
     eog_evoked.plot_joint()
@@ -267,7 +268,7 @@ def _remove_ecg(filt_raw, ica):
     """
     Note: mutates `ica`.
     """
-    print_with_color(f"   Starting ECG removal...", Fore.GREEN)
+    print_with_color("   Starting ECG removal...", Fore.GREEN)
     ecg_evoked = mne.preprocessing.create_ecg_epochs(filt_raw).average()
     ecg_evoked.apply_baseline(baseline=(None, -0.2))
     ecg_evoked.plot_joint()
@@ -290,7 +291,7 @@ def _remove_ecg_eog(filt_raw, ica):
     """
     Note: mutates `ica`.
     """
-    print_with_color(f"   Starting ECG and EOG removal...", Fore.GREEN)
+    print_with_color("   Starting ECG and EOG removal...", Fore.GREEN)
     ecg_indices, ecg_scores = ica.find_bads_ecg(filt_raw)
     eog_indices, eog_scores = ica.find_bads_eog(filt_raw)
     ica.exclude = ecg_indices
@@ -341,7 +342,7 @@ def estimate_noise_cov(data_root_dir: str,
                         verbose=True)
 
             cov = mne.compute_raw_covariance(raw_fif_data_sss, tmin=0, tmax=duration_emp, method=reg_method, return_estimators=True)
-            if duration_emp == None:
+            if duration_emp is None:
                 mne.write_cov(data_root_dir + dataset_directory_name + '/intrim_preprocessing_files/3_evoked_sensor_data/covariance_grand_average/' + p + '-emptyroom-cov.fif', cov)
             else:
                 mne.write_cov(data_root_dir + dataset_directory_name + '/intrim_preprocessing_files/3_evoked_sensor_data/covariance_grand_average/' + p + '-emptyroom' + str(duration_emp) + '-cov.fif', cov)
@@ -433,7 +434,7 @@ def create_trialwise_data(dataset_directory_name: str,
             raw_fname = f'{data_path}/intrim_preprocessing_files/2_cleaned/{p}_run{run}_cleaned_raw.fif.gz'
             if os.path.isfile(raw_fname):
                 raw = mne.io.Raw(raw_fname, preload=True)
-                events_ = mne.find_events(raw, stim_channel='STI101', shortest_event=1)
+                #events_ = mne.find_events(raw, stim_channel='STI101', shortest_event=1)
                 #print([i[0] for i in mne.pick_events(events_, include=2)])
                 #print(mne.pick_events(events_, include=3))
                 cleaned_raws.append(raw)
@@ -488,37 +489,37 @@ def create_trialwise_data(dataset_directory_name: str,
         print(f'\n Runs found: {audio_events.shape[0]} \n')
 
         #	Denote picks
-        include = [];  # ['MISC006']  # MISC05, trigger channels etc, if needed
+        include = []  # ['MISC006']  # MISC05, trigger channels etc, if needed
         picks = mne.pick_types(raw.info, meg=True, eeg=True, stim=False, exclude='bads', include=include)
 
         print(f"{Fore.GREEN}{Style.BRIGHT}... extract and save evoked data{Style.RESET_ALL}")
 
         for input_stream in input_streams: # TODO n.b. not setup for visual/tactile stream yet
             if input_stream == 'auditory':
-                events = audio_events
-            #else:
-            #    events = visual_events
+                # events = audio_events
+                # else:
+                #    events = visual_events
 
-            #	Extract trial instances ('epochs')
+                #	Extract trial instances ('epochs')
 
-            _tmin = -0.2
-            _tmax = 400 + 0.8 + 2 # Extra space to account for audio file latency correction
-            epochs = mne.Epochs(raw, audio_events_raw, None, _tmin, _tmax, picks=picks,
+                _tmin = -0.2
+                _tmax = 400 + 0.8 + 2 # Extra space to account for audio file latency correction
+                epochs = mne.Epochs(raw, audio_events_raw, None, _tmin, _tmax, picks=picks,
                                 baseline=(None, None), reject=dict(eeg=eeg_thresh, grad=grad_thresh, mag=mag_thresh),
                                 preload=True)
 
-            # 	Log which channels are worst
-            dropfig = epochs.plot_drop_log(subject=p)
-            dropfig.savefig(f'{data_path}/intrim_preprocessing_files/{save_folder}/logs/f{input_stream}_drop-log_{p}.jpg')
+                # 	Log which channels are worst
+                dropfig = epochs.plot_drop_log(subject=p)
+                dropfig.savefig(f'{data_path}/intrim_preprocessing_files/{save_folder}/logs/f{input_stream}_drop-log_{p}.jpg')
 
-            global_droplog.append(f'[{input_stream}]{p}:{epochs.drop_log_stats(epochs.drop_log)}')
+                global_droplog.append(f'[{input_stream}]{p}:{epochs.drop_log_stats(epochs.drop_log)}')
 
-            for i in range(len(audio_events_raw)):
-                evoked = epochs[str(i)].average()
-                evoked.save(f'{data_path}/intrim_preprocessing_files/{save_folder}/evoked_data/{p}_rep{i}.fif', overwrite=True)
+                for i in range(len(audio_events_raw)):
+                    evoked = epochs[str(i)].average()
+                    evoked.save(f'{data_path}/intrim_preprocessing_files/{save_folder}/evoked_data/{p}_rep{i}.fif', overwrite=True)
 
-            evoked = epochs.average()
-            evoked.save(f'{data_path}/intrim_preprocessing_files/{save_folder}/evoked_data/{p}-ave.fif', overwrite=True)
+                evoked = epochs.average()
+                evoked.save(f'{data_path}/intrim_preprocessing_files/{save_folder}/evoked_data/{p}-ave.fif', overwrite=True)
 
 
 def create_trials(data_root_dir: str,
@@ -541,11 +542,11 @@ def create_trials(data_root_dir: str,
 
     global_droplog = []
 
-    print_with_color(f"Starting trials and ", Fore.GREEN)
+    print_with_color("Starting trials and ", Fore.GREEN)
 
     for p in list_of_participants:
 
-        print_with_color(f"...Concatenating trials", Fore.GREEN)
+        print_with_color("...Concatenating trials", Fore.GREEN)
 
         cleaned_raws = []
 
@@ -558,7 +559,7 @@ def create_trials(data_root_dir: str,
 
         raw_events = mne.find_events(raw, stim_channel='STI101', shortest_event=1)
 
-        print_with_color(f"...finding visual events", Fore.GREEN)
+        print_with_color("...finding visual events", Fore.GREEN)
 
         # Extract visual events
         visual_events = mne.pick_events(raw_events, include=[2, 3])
@@ -579,7 +580,7 @@ def create_trials(data_root_dir: str,
         #  Test there are the correct number of events
         assert visual_events.shape[0] == repetitions_per_runs * number_of_runs * number_of_trials
 
-        print_with_color(f"...finding audio events", Fore.GREEN)
+        print_with_color("...finding audio events", Fore.GREEN)
 
         # Extract audio events
         audio_events_raw = mne.pick_events(raw_events, include=3)
@@ -604,7 +605,7 @@ def create_trials(data_root_dir: str,
         include = []  # ['MISC006']  # MISC05, trigger channels etc, if needed
         picks = mne.pick_types(raw.info, meg=True, eeg=True, stim=False, exclude='bads', include=include)
 
-        print_with_color(f"... extract and save evoked data", Fore.GREEN)
+        print_with_color("... extract and save evoked data", Fore.GREEN)
 
         for input_stream in input_streams:
 
diff --git a/kymata/preproc/hexel_current_estimation.py b/kymata/preproc/hexel_current_estimation.py
index b483b722..28cd2a1e 100644
--- a/kymata/preproc/hexel_current_estimation.py
+++ b/kymata/preproc/hexel_current_estimation.py
@@ -13,7 +13,7 @@ def create_current_estimation_prerequisites(data_root_dir, config: dict):
     list_of_participants = config['list_of_participants']
     dataset_directory_name = config['dataset_directory_name']
     intrim_preprocessing_directory_name = Path(data_root_dir, dataset_directory_name, "intrim_preprocessing_files")
-    mri_structural_type = config['mri_structural_type'] 
+    #mri_structural_type = config['mri_structural_type'] 
     mri_structurals_directory = Path(data_root_dir, dataset_directory_name, config['mri_structurals_directory'])
 
     '''    
@@ -219,7 +219,7 @@ def create_forward_model_and_inverse_solution(data_root_dir, config: dict):
                 participant + '-fwd-eegonly.fif'))
             
         # Read noise covariance matrix
-        if config['duration'] == None or config['cov_method'] != 'emptyroom':
+        if config['duration'] is None or config['cov_method'] != 'emptyroom':
             noise_cov = mne.read_cov(str(Path(
                 intrim_preprocessing_directory_name,
                 '3_evoked_sensor_data',
@@ -256,7 +256,7 @@ def create_forward_model_and_inverse_solution(data_root_dir, config: dict):
                     participant + '_ico5-3L-loose02-cps-nodepth-' + config['cov_method'] + '-inv.fif')),
                 inverse_operator, overwrite=True)
         elif config['meg']:
-            if config['duration'] == None:
+            if config['duration'] is None:
                 mne.minimum_norm.write_inverse_operator(
                     str(Path(
                         intrim_preprocessing_directory_name,
diff --git a/kymata/preproc/source.py b/kymata/preproc/source.py
index 9438d7c0..2088293b 100644
--- a/kymata/preproc/source.py
+++ b/kymata/preproc/source.py
@@ -48,7 +48,7 @@ def inverse_operate(evoked, inverse_operator, snr=4, morph_map: Optional[mne.Sou
     _logger.info(f"Reading inverse operator from {inverse_operator}")
     inverse_operator = mne.minimum_norm.read_inverse_operator(inverse_operator, verbose=False)
     mne.set_eeg_reference(evoked, projection=True, verbose=False)
-    _logger.info(f"Applying inverse operator")
+    _logger.info("Applying inverse operator")
     stc: mne.VectorSourceEstimate = mne.minimum_norm.apply_inverse(evoked, inverse_operator, lambda2, 'MNE', pick_ori='normal', verbose=False)
     print("Inverse operator applied")
 
diff --git a/poetry.lock b/poetry.lock
index 3e1e4093..7a64c3dd 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,14 +1,14 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "anyio"
-version = "4.2.0"
+version = "4.3.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
-    {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
+    {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
+    {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
 ]
 
 [package.dependencies]
@@ -22,13 +22,13 @@ trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "appnope"
-version = "0.1.3"
+version = "0.1.4"
 description = "Disable App Nap on macOS >= 10.9"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 files = [
-    {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
-    {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
+    {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
+    {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
 ]
 
 [[package]]
@@ -171,19 +171,22 @@ dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.2"
+version = "4.12.3"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.6.0"
 files = [
-    {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
-    {file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"},
+    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
+    {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
 ]
 
 [package.dependencies]
 soupsieve = ">1.2"
 
 [package.extras]
+cchardet = ["cchardet"]
+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
 html5lib = ["html5lib"]
 lxml = ["lxml"]
 
@@ -207,13 +210,13 @@ css = ["tinycss2 (>=1.1.0,<1.3)"]
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
-    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
+    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
+    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
 ]
 
 [[package]]
@@ -487,29 +490,33 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "debugpy"
-version = "1.8.0"
+version = "1.8.1"
 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "debugpy-1.8.0-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:7fb95ca78f7ac43393cd0e0f2b6deda438ec7c5e47fa5d38553340897d2fbdfb"},
-    {file = "debugpy-1.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ef9ab7df0b9a42ed9c878afd3eaaff471fce3fa73df96022e1f5c9f8f8c87ada"},
-    {file = "debugpy-1.8.0-cp310-cp310-win32.whl", hash = "sha256:a8b7a2fd27cd9f3553ac112f356ad4ca93338feadd8910277aff71ab24d8775f"},
-    {file = "debugpy-1.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:5d9de202f5d42e62f932507ee8b21e30d49aae7e46d5b1dd5c908db1d7068637"},
-    {file = "debugpy-1.8.0-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:ef54404365fae8d45cf450d0544ee40cefbcb9cb85ea7afe89a963c27028261e"},
-    {file = "debugpy-1.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:60009b132c91951354f54363f8ebdf7457aeb150e84abba5ae251b8e9f29a8a6"},
-    {file = "debugpy-1.8.0-cp311-cp311-win32.whl", hash = "sha256:8cd0197141eb9e8a4566794550cfdcdb8b3db0818bdf8c49a8e8f8053e56e38b"},
-    {file = "debugpy-1.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:a64093656c4c64dc6a438e11d59369875d200bd5abb8f9b26c1f5f723622e153"},
-    {file = "debugpy-1.8.0-cp38-cp38-macosx_11_0_x86_64.whl", hash = "sha256:b05a6b503ed520ad58c8dc682749113d2fd9f41ffd45daec16e558ca884008cd"},
-    {file = "debugpy-1.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c6fb41c98ec51dd010d7ed650accfd07a87fe5e93eca9d5f584d0578f28f35f"},
-    {file = "debugpy-1.8.0-cp38-cp38-win32.whl", hash = "sha256:46ab6780159eeabb43c1495d9c84cf85d62975e48b6ec21ee10c95767c0590aa"},
-    {file = "debugpy-1.8.0-cp38-cp38-win_amd64.whl", hash = "sha256:bdc5ef99d14b9c0fcb35351b4fbfc06ac0ee576aeab6b2511702e5a648a2e595"},
-    {file = "debugpy-1.8.0-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:61eab4a4c8b6125d41a34bad4e5fe3d2cc145caecd63c3fe953be4cc53e65bf8"},
-    {file = "debugpy-1.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:125b9a637e013f9faac0a3d6a82bd17c8b5d2c875fb6b7e2772c5aba6d082332"},
-    {file = "debugpy-1.8.0-cp39-cp39-win32.whl", hash = "sha256:57161629133113c97b387382045649a2b985a348f0c9366e22217c87b68b73c6"},
-    {file = "debugpy-1.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:e3412f9faa9ade82aa64a50b602544efcba848c91384e9f93497a458767e6926"},
-    {file = "debugpy-1.8.0-py2.py3-none-any.whl", hash = "sha256:9c9b0ac1ce2a42888199df1a1906e45e6f3c9555497643a85e0bf2406e3ffbc4"},
-    {file = "debugpy-1.8.0.zip", hash = "sha256:12af2c55b419521e33d5fb21bd022df0b5eb267c3e178f1d374a63a2a6bdccd0"},
+    {file = "debugpy-1.8.1-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:3bda0f1e943d386cc7a0e71bfa59f4137909e2ed947fb3946c506e113000f741"},
+    {file = "debugpy-1.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dda73bf69ea479c8577a0448f8c707691152e6c4de7f0c4dec5a4bc11dee516e"},
+    {file = "debugpy-1.8.1-cp310-cp310-win32.whl", hash = "sha256:3a79c6f62adef994b2dbe9fc2cc9cc3864a23575b6e387339ab739873bea53d0"},
+    {file = "debugpy-1.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:7eb7bd2b56ea3bedb009616d9e2f64aab8fc7000d481faec3cd26c98a964bcdd"},
+    {file = "debugpy-1.8.1-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:016a9fcfc2c6b57f939673c874310d8581d51a0fe0858e7fac4e240c5eb743cb"},
+    {file = "debugpy-1.8.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fd97ed11a4c7f6d042d320ce03d83b20c3fb40da892f994bc041bbc415d7a099"},
+    {file = "debugpy-1.8.1-cp311-cp311-win32.whl", hash = "sha256:0de56aba8249c28a300bdb0672a9b94785074eb82eb672db66c8144fff673146"},
+    {file = "debugpy-1.8.1-cp311-cp311-win_amd64.whl", hash = "sha256:1a9fe0829c2b854757b4fd0a338d93bc17249a3bf69ecf765c61d4c522bb92a8"},
+    {file = "debugpy-1.8.1-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:3ebb70ba1a6524d19fa7bb122f44b74170c447d5746a503e36adc244a20ac539"},
+    {file = "debugpy-1.8.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2e658a9630f27534e63922ebf655a6ab60c370f4d2fc5c02a5b19baf4410ace"},
+    {file = "debugpy-1.8.1-cp312-cp312-win32.whl", hash = "sha256:caad2846e21188797a1f17fc09c31b84c7c3c23baf2516fed5b40b378515bbf0"},
+    {file = "debugpy-1.8.1-cp312-cp312-win_amd64.whl", hash = "sha256:edcc9f58ec0fd121a25bc950d4578df47428d72e1a0d66c07403b04eb93bcf98"},
+    {file = "debugpy-1.8.1-cp38-cp38-macosx_11_0_x86_64.whl", hash = "sha256:7a3afa222f6fd3d9dfecd52729bc2e12c93e22a7491405a0ecbf9e1d32d45b39"},
+    {file = "debugpy-1.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d915a18f0597ef685e88bb35e5d7ab968964b7befefe1aaea1eb5b2640b586c7"},
+    {file = "debugpy-1.8.1-cp38-cp38-win32.whl", hash = "sha256:92116039b5500633cc8d44ecc187abe2dfa9b90f7a82bbf81d079fcdd506bae9"},
+    {file = "debugpy-1.8.1-cp38-cp38-win_amd64.whl", hash = "sha256:e38beb7992b5afd9d5244e96ad5fa9135e94993b0c551ceebf3fe1a5d9beb234"},
+    {file = "debugpy-1.8.1-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:bfb20cb57486c8e4793d41996652e5a6a885b4d9175dd369045dad59eaacea42"},
+    {file = "debugpy-1.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efd3fdd3f67a7e576dd869c184c5dd71d9aaa36ded271939da352880c012e703"},
+    {file = "debugpy-1.8.1-cp39-cp39-win32.whl", hash = "sha256:58911e8521ca0c785ac7a0539f1e77e0ce2df753f786188f382229278b4cdf23"},
+    {file = "debugpy-1.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:6df9aa9599eb05ca179fb0b810282255202a66835c6efb1d112d21ecb830ddd3"},
+    {file = "debugpy-1.8.1-py2.py3-none-any.whl", hash = "sha256:28acbe2241222b87e255260c76741e1fbf04fdc3b6d094fcf57b6c6f75ce1242"},
+    {file = "debugpy-1.8.1.zip", hash = "sha256:f696d6be15be87aef621917585f9bb94b1dc9e8aced570db1b8a6fc14e8f9b42"},
 ]
 
 [[package]]
@@ -564,60 +571,60 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
 
 [[package]]
 name = "fonttools"
-version = "4.47.0"
+version = "4.49.0"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fonttools-4.47.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2d2404107626f97a221dc1a65b05396d2bb2ce38e435f64f26ed2369f68675d9"},
-    {file = "fonttools-4.47.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c01f409be619a9a0f5590389e37ccb58b47264939f0e8d58bfa1f3ba07d22671"},
-    {file = "fonttools-4.47.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d986b66ff722ef675b7ee22fbe5947a41f60a61a4da15579d5e276d897fbc7fa"},
-    {file = "fonttools-4.47.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8acf6dd0434b211b3bd30d572d9e019831aae17a54016629fa8224783b22df8"},
-    {file = "fonttools-4.47.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:495369c660e0c27233e3c572269cbe520f7f4978be675f990f4005937337d391"},
-    {file = "fonttools-4.47.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c59227d7ba5b232281c26ae04fac2c73a79ad0e236bca5c44aae904a18f14faf"},
-    {file = "fonttools-4.47.0-cp310-cp310-win32.whl", hash = "sha256:59a6c8b71a245800e923cb684a2dc0eac19c56493e2f896218fcf2571ed28984"},
-    {file = "fonttools-4.47.0-cp310-cp310-win_amd64.whl", hash = "sha256:52c82df66201f3a90db438d9d7b337c7c98139de598d0728fb99dab9fd0495ca"},
-    {file = "fonttools-4.47.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:854421e328d47d70aa5abceacbe8eef231961b162c71cbe7ff3f47e235e2e5c5"},
-    {file = "fonttools-4.47.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:511482df31cfea9f697930f61520f6541185fa5eeba2fa760fe72e8eee5af88b"},
-    {file = "fonttools-4.47.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce0e2c88c8c985b7b9a7efcd06511fb0a1fe3ddd9a6cd2895ef1dbf9059719d7"},
-    {file = "fonttools-4.47.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7a0a8848726956e9d9fb18c977a279013daadf0cbb6725d2015a6dd57527992"},
-    {file = "fonttools-4.47.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e869da810ae35afb3019baa0d0306cdbab4760a54909c89ad8904fa629991812"},
-    {file = "fonttools-4.47.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:dd23848f877c3754f53a4903fb7a593ed100924f9b4bff7d5a4e2e8a7001ae11"},
-    {file = "fonttools-4.47.0-cp311-cp311-win32.whl", hash = "sha256:bf1810635c00f7c45d93085611c995fc130009cec5abdc35b327156aa191f982"},
-    {file = "fonttools-4.47.0-cp311-cp311-win_amd64.whl", hash = "sha256:61df4dee5d38ab65b26da8efd62d859a1eef7a34dcbc331299a28e24d04c59a7"},
-    {file = "fonttools-4.47.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:e3f4d61f3a8195eac784f1d0c16c0a3105382c1b9a74d99ac4ba421da39a8826"},
-    {file = "fonttools-4.47.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:174995f7b057e799355b393e97f4f93ef1f2197cbfa945e988d49b2a09ecbce8"},
-    {file = "fonttools-4.47.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea592e6a09b71cb7a7661dd93ac0b877a6228e2d677ebacbad0a4d118494c86d"},
-    {file = "fonttools-4.47.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40bdbe90b33897d9cc4a39f8e415b0fcdeae4c40a99374b8a4982f127ff5c767"},
-    {file = "fonttools-4.47.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:843509ae9b93db5aaf1a6302085e30bddc1111d31e11d724584818f5b698f500"},
-    {file = "fonttools-4.47.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9acfa1cdc479e0dde528b61423855913d949a7f7fe09e276228298fef4589540"},
-    {file = "fonttools-4.47.0-cp312-cp312-win32.whl", hash = "sha256:66c92ec7f95fd9732550ebedefcd190a8d81beaa97e89d523a0d17198a8bda4d"},
-    {file = "fonttools-4.47.0-cp312-cp312-win_amd64.whl", hash = "sha256:e8fa20748de55d0021f83754b371432dca0439e02847962fc4c42a0e444c2d78"},
-    {file = "fonttools-4.47.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c75e19971209fbbce891ebfd1b10c37320a5a28e8d438861c21d35305aedb81c"},
-    {file = "fonttools-4.47.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e79f1a3970d25f692bbb8c8c2637e621a66c0d60c109ab48d4a160f50856deff"},
-    {file = "fonttools-4.47.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:562681188c62c024fe2c611b32e08b8de2afa00c0c4e72bed47c47c318e16d5c"},
-    {file = "fonttools-4.47.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a77a60315c33393b2bd29d538d1ef026060a63d3a49a9233b779261bad9c3f71"},
-    {file = "fonttools-4.47.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:b4fabb8cc9422efae1a925160083fdcbab8fdc96a8483441eb7457235df625bd"},
-    {file = "fonttools-4.47.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2a78dba8c2a1e9d53a0fb5382979f024200dc86adc46a56cbb668a2249862fda"},
-    {file = "fonttools-4.47.0-cp38-cp38-win32.whl", hash = "sha256:e6b968543fde4119231c12c2a953dcf83349590ca631ba8216a8edf9cd4d36a9"},
-    {file = "fonttools-4.47.0-cp38-cp38-win_amd64.whl", hash = "sha256:4a9a51745c0439516d947480d4d884fa18bd1458e05b829e482b9269afa655bc"},
-    {file = "fonttools-4.47.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:62d8ddb058b8e87018e5dc26f3258e2c30daad4c87262dfeb0e2617dd84750e6"},
-    {file = "fonttools-4.47.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5dde0eab40faaa5476133123f6a622a1cc3ac9b7af45d65690870620323308b4"},
-    {file = "fonttools-4.47.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4da089f6dfdb822293bde576916492cd708c37c2501c3651adde39804630538"},
-    {file = "fonttools-4.47.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:253bb46bab970e8aae254cebf2ae3db98a4ef6bd034707aa68a239027d2b198d"},
-    {file = "fonttools-4.47.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:1193fb090061efa2f9e2d8d743ae9850c77b66746a3b32792324cdce65784154"},
-    {file = "fonttools-4.47.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:084511482dd265bce6dca24c509894062f0117e4e6869384d853f46c0e6d43be"},
-    {file = "fonttools-4.47.0-cp39-cp39-win32.whl", hash = "sha256:97620c4af36e4c849e52661492e31dc36916df12571cb900d16960ab8e92a980"},
-    {file = "fonttools-4.47.0-cp39-cp39-win_amd64.whl", hash = "sha256:e77bdf52185bdaf63d39f3e1ac3212e6cfa3ab07d509b94557a8902ce9c13c82"},
-    {file = "fonttools-4.47.0-py3-none-any.whl", hash = "sha256:d6477ba902dd2d7adda7f0fd3bfaeb92885d45993c9e1928c9f28fc3961415f7"},
-    {file = "fonttools-4.47.0.tar.gz", hash = "sha256:ec13a10715eef0e031858c1c23bfaee6cba02b97558e4a7bfa089dba4a8c2ebf"},
-]
-
-[package.extras]
-all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
+    {file = "fonttools-4.49.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d970ecca0aac90d399e458f0b7a8a597e08f95de021f17785fb68e2dc0b99717"},
+    {file = "fonttools-4.49.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac9a745b7609f489faa65e1dc842168c18530874a5f5b742ac3dd79e26bca8bc"},
+    {file = "fonttools-4.49.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ba0e00620ca28d4ca11fc700806fd69144b463aa3275e1b36e56c7c09915559"},
+    {file = "fonttools-4.49.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cdee3ab220283057e7840d5fb768ad4c2ebe65bdba6f75d5d7bf47f4e0ed7d29"},
+    {file = "fonttools-4.49.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:ce7033cb61f2bb65d8849658d3786188afd80f53dad8366a7232654804529532"},
+    {file = "fonttools-4.49.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:07bc5ea02bb7bc3aa40a1eb0481ce20e8d9b9642a9536cde0218290dd6085828"},
+    {file = "fonttools-4.49.0-cp310-cp310-win32.whl", hash = "sha256:86eef6aab7fd7c6c8545f3ebd00fd1d6729ca1f63b0cb4d621bccb7d1d1c852b"},
+    {file = "fonttools-4.49.0-cp310-cp310-win_amd64.whl", hash = "sha256:1fac1b7eebfce75ea663e860e7c5b4a8831b858c17acd68263bc156125201abf"},
+    {file = "fonttools-4.49.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:edc0cce355984bb3c1d1e89d6a661934d39586bb32191ebff98c600f8957c63e"},
+    {file = "fonttools-4.49.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:83a0d9336de2cba86d886507dd6e0153df333ac787377325a39a2797ec529814"},
+    {file = "fonttools-4.49.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:36c8865bdb5cfeec88f5028e7e592370a0657b676c6f1d84a2108e0564f90e22"},
+    {file = "fonttools-4.49.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33037d9e56e2562c710c8954d0f20d25b8386b397250d65581e544edc9d6b942"},
+    {file = "fonttools-4.49.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:8fb022d799b96df3eaa27263e9eea306bd3d437cc9aa981820850281a02b6c9a"},
+    {file = "fonttools-4.49.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:33c584c0ef7dc54f5dd4f84082eabd8d09d1871a3d8ca2986b0c0c98165f8e86"},
+    {file = "fonttools-4.49.0-cp311-cp311-win32.whl", hash = "sha256:cbe61b158deb09cffdd8540dc4a948d6e8f4d5b4f3bf5cd7db09bd6a61fee64e"},
+    {file = "fonttools-4.49.0-cp311-cp311-win_amd64.whl", hash = "sha256:fc11e5114f3f978d0cea7e9853627935b30d451742eeb4239a81a677bdee6bf6"},
+    {file = "fonttools-4.49.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:d647a0e697e5daa98c87993726da8281c7233d9d4ffe410812a4896c7c57c075"},
+    {file = "fonttools-4.49.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f3bbe672df03563d1f3a691ae531f2e31f84061724c319652039e5a70927167e"},
+    {file = "fonttools-4.49.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bebd91041dda0d511b0d303180ed36e31f4f54b106b1259b69fade68413aa7ff"},
+    {file = "fonttools-4.49.0-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4145f91531fd43c50f9eb893faa08399816bb0b13c425667c48475c9f3a2b9b5"},
+    {file = "fonttools-4.49.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ea329dafb9670ffbdf4dbc3b0e5c264104abcd8441d56de77f06967f032943cb"},
+    {file = "fonttools-4.49.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:c076a9e548521ecc13d944b1d261ff3d7825048c338722a4bd126d22316087b7"},
+    {file = "fonttools-4.49.0-cp312-cp312-win32.whl", hash = "sha256:b607ea1e96768d13be26d2b400d10d3ebd1456343eb5eaddd2f47d1c4bd00880"},
+    {file = "fonttools-4.49.0-cp312-cp312-win_amd64.whl", hash = "sha256:a974c49a981e187381b9cc2c07c6b902d0079b88ff01aed34695ec5360767034"},
+    {file = "fonttools-4.49.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:b85ec0bdd7bdaa5c1946398cbb541e90a6dfc51df76dfa88e0aaa41b335940cb"},
+    {file = "fonttools-4.49.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:af20acbe198a8a790618ee42db192eb128afcdcc4e96d99993aca0b60d1faeb4"},
+    {file = "fonttools-4.49.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4d418b1fee41a1d14931f7ab4b92dc0bc323b490e41d7a333eec82c9f1780c75"},
+    {file = "fonttools-4.49.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b44a52b8e6244b6548851b03b2b377a9702b88ddc21dcaf56a15a0393d425cb9"},
+    {file = "fonttools-4.49.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:7c7125068e04a70739dad11857a4d47626f2b0bd54de39e8622e89701836eabd"},
+    {file = "fonttools-4.49.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:29e89d0e1a7f18bc30f197cfadcbef5a13d99806447c7e245f5667579a808036"},
+    {file = "fonttools-4.49.0-cp38-cp38-win32.whl", hash = "sha256:9d95fa0d22bf4f12d2fb7b07a46070cdfc19ef5a7b1c98bc172bfab5bf0d6844"},
+    {file = "fonttools-4.49.0-cp38-cp38-win_amd64.whl", hash = "sha256:768947008b4dc552d02772e5ebd49e71430a466e2373008ce905f953afea755a"},
+    {file = "fonttools-4.49.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:08877e355d3dde1c11973bb58d4acad1981e6d1140711230a4bfb40b2b937ccc"},
+    {file = "fonttools-4.49.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fdb54b076f25d6b0f0298dc706acee5052de20c83530fa165b60d1f2e9cbe3cb"},
+    {file = "fonttools-4.49.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0af65c720520710cc01c293f9c70bd69684365c6015cc3671db2b7d807fe51f2"},
+    {file = "fonttools-4.49.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f255ce8ed7556658f6d23f6afd22a6d9bbc3edb9b96c96682124dc487e1bf42"},
+    {file = "fonttools-4.49.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d00af0884c0e65f60dfaf9340e26658836b935052fdd0439952ae42e44fdd2be"},
+    {file = "fonttools-4.49.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:263832fae27481d48dfafcc43174644b6706639661e242902ceb30553557e16c"},
+    {file = "fonttools-4.49.0-cp39-cp39-win32.whl", hash = "sha256:0404faea044577a01bb82d47a8fa4bc7a54067fa7e324785dd65d200d6dd1133"},
+    {file = "fonttools-4.49.0-cp39-cp39-win_amd64.whl", hash = "sha256:b050d362df50fc6e38ae3954d8c29bf2da52be384649ee8245fdb5186b620836"},
+    {file = "fonttools-4.49.0-py3-none-any.whl", hash = "sha256:af281525e5dd7fa0b39fb1667b8d5ca0e2a9079967e14c4bfe90fd1cd13e0f18"},
+    {file = "fonttools-4.49.0.tar.gz", hash = "sha256:ebf46e7f01b7af7861310417d7c49591a85d99146fc23a5ba82fdb28af156321"},
+]
+
+[package.extras]
+all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"]
 graphite = ["lz4 (>=1.7.4.2)"]
 interpolatable = ["munkres", "pycairo", "scipy"]
-lxml = ["lxml (>=4.0,<5)"]
+lxml = ["lxml (>=4.0)"]
 pathops = ["skia-pathops (>=0.5.0)"]
 plot = ["matplotlib"]
 repacker = ["uharfbuzz (>=0.23.0)"]
@@ -638,6 +645,17 @@ files = [
     {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"},
 ]
 
+[[package]]
+name = "h11"
+version = "0.14.0"
+description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
+    {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
+]
+
 [[package]]
 name = "h5io"
 version = "0.1.10"
@@ -690,6 +708,51 @@ files = [
 [package.dependencies]
 numpy = ">=1.17.3"
 
+[[package]]
+name = "httpcore"
+version = "1.0.3"
+description = "A minimal low-level HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpcore-1.0.3-py3-none-any.whl", hash = "sha256:9a6a501c3099307d9fd76ac244e08503427679b1e81ceb1d922485e2f2462ad2"},
+    {file = "httpcore-1.0.3.tar.gz", hash = "sha256:5c0f9546ad17dac4d0772b0808856eb616eb8b48ce94f49ed819fd6982a8a544"},
+]
+
+[package.dependencies]
+certifi = "*"
+h11 = ">=0.13,<0.15"
+
+[package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<0.24.0)"]
+
+[[package]]
+name = "httpx"
+version = "0.26.0"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpx-0.26.0-py3-none-any.whl", hash = "sha256:8915f5a3627c4d47b73e8202457cb28f1266982d1159bd5779d86a80c0eab1cd"},
+    {file = "httpx-0.26.0.tar.gz", hash = "sha256:451b55c30d5185ea6b23c2c793abf9bb237d2a7dfb901ced6ff69ad37ec1dfaf"},
+]
+
+[package.dependencies]
+anyio = "*"
+certifi = "*"
+httpcore = "==1.*"
+idna = "*"
+sniffio = "*"
+
+[package.extras]
+brotli = ["brotli", "brotlicffi"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+
 [[package]]
 name = "idna"
 version = "3.6"
@@ -729,13 +792,13 @@ ipython = {version = ">=7.31.1", markers = "python_version >= \"3.11\""}
 
 [[package]]
 name = "ipykernel"
-version = "6.28.0"
+version = "6.29.2"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.28.0-py3-none-any.whl", hash = "sha256:c6e9a9c63a7f4095c0a22a79f765f079f9ec7be4f2430a898ddea889e8665661"},
-    {file = "ipykernel-6.28.0.tar.gz", hash = "sha256:69c11403d26de69df02225916f916b37ea4b9af417da0a8c827f84328d88e5f3"},
+    {file = "ipykernel-6.29.2-py3-none-any.whl", hash = "sha256:50384f5c577a260a1d53f1f59a828c7266d321c9b7d00d345693783f66616055"},
+    {file = "ipykernel-6.29.2.tar.gz", hash = "sha256:3bade28004e3ff624ed57974948116670604ac5f676d12339693f3142176d3f0"},
 ]
 
 [package.dependencies]
@@ -758,17 +821,17 @@ cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
 pyqt5 = ["pyqt5"]
 pyside6 = ["pyside6"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov", "pytest-timeout"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (==0.23.4)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "ipython"
-version = "8.19.0"
+version = "8.21.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "ipython-8.19.0-py3-none-any.whl", hash = "sha256:2f55d59370f59d0d2b2212109fe0e6035cfea436b1c0e6150ad2244746272ec5"},
-    {file = "ipython-8.19.0.tar.gz", hash = "sha256:ac4da4ecf0042fb4e0ce57c60430c2db3c719fa8bdf92f8631d6bd8a5785d1f0"},
+    {file = "ipython-8.21.0-py3-none-any.whl", hash = "sha256:1050a3ab8473488d7eee163796b02e511d0735cf43a04ba2a8348bd0f2eaf8a5"},
+    {file = "ipython-8.21.0.tar.gz", hash = "sha256:48fbc236fbe0e138b88773fa0437751f14c3645fb483f1d4c5dee58b37e5ce73"},
 ]
 
 [package.dependencies]
@@ -783,35 +846,35 @@ stack-data = "*"
 traitlets = ">=5"
 
 [package.extras]
-all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.23)", "pandas", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
+all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.23)", "pandas", "pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
 black = ["black"]
-doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
+doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
 notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath", "trio"]
+test = ["pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "pickleshare", "pytest (<8)", "pytest-asyncio (<0.22)", "testpath", "trio"]
 
 [[package]]
 name = "ipywidgets"
-version = "8.1.1"
+version = "8.1.2"
 description = "Jupyter interactive widgets"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "ipywidgets-8.1.1-py3-none-any.whl", hash = "sha256:2b88d728656aea3bbfd05d32c747cfd0078f9d7e159cf982433b58ad717eed7f"},
-    {file = "ipywidgets-8.1.1.tar.gz", hash = "sha256:40211efb556adec6fa450ccc2a77d59ca44a060f4f9f136833df59c9f538e6e8"},
+    {file = "ipywidgets-8.1.2-py3-none-any.whl", hash = "sha256:bbe43850d79fb5e906b14801d6c01402857996864d1e5b6fa62dd2ee35559f60"},
+    {file = "ipywidgets-8.1.2.tar.gz", hash = "sha256:d0b9b41e49bae926a866e613a39b0f0097745d2b9f1f3dd406641b4a57ec42c9"},
 ]
 
 [package.dependencies]
 comm = ">=0.1.3"
 ipython = ">=6.1.0"
-jupyterlab-widgets = ">=3.0.9,<3.1.0"
+jupyterlab-widgets = ">=3.0.10,<3.1.0"
 traitlets = ">=4.3.1"
-widgetsnbextension = ">=4.0.9,<4.1.0"
+widgetsnbextension = ">=4.0.10,<4.1.0"
 
 [package.extras]
 test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
@@ -879,13 +942,13 @@ files = [
 
 [[package]]
 name = "json5"
-version = "0.9.14"
+version = "0.9.17"
 description = "A Python implementation of the JSON5 data format."
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "json5-0.9.14-py2.py3-none-any.whl", hash = "sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f"},
-    {file = "json5-0.9.14.tar.gz", hash = "sha256:9ed66c3a6ca3510a976a9ef9b8c0787de24802724ab1860bc0153c7fdd589b02"},
+    {file = "json5-0.9.17-py2.py3-none-any.whl", hash = "sha256:f8ec1ecf985951d70f780f6f877c4baca6a47b6e61e02c4cd190138d10a7805a"},
+    {file = "json5-0.9.17.tar.gz", hash = "sha256:717d99d657fa71b7094877b1d921b1cce40ab444389f6d770302563bb7dfd9ae"},
 ]
 
 [package.extras]
@@ -904,13 +967,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.20.0"
+version = "4.21.1"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.20.0-py3-none-any.whl", hash = "sha256:ed6231f0429ecf966f5bc8dfef245998220549cbbcf140f913b7464c52c3b6b3"},
-    {file = "jsonschema-4.20.0.tar.gz", hash = "sha256:4f614fd46d8d61258610998997743ec5492a648b33cf478c1ddc23ed4598a5fa"},
+    {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"},
+    {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"},
 ]
 
 [package.dependencies]
@@ -1013,13 +1076,13 @@ test = ["flaky", "pexpect", "pytest"]
 
 [[package]]
 name = "jupyter-core"
-version = "5.7.0"
+version = "5.7.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_core-5.7.0-py3-none-any.whl", hash = "sha256:16eea462f7dad23ba9f86542bdf17f830804e2028eb48d609b6134d91681e983"},
-    {file = "jupyter_core-5.7.0.tar.gz", hash = "sha256:cb8d3ed92144d2463a3c5664fdd686a3f0c1442ea45df8babb1c1a9e6333fe03"},
+    {file = "jupyter_core-5.7.1-py3-none-any.whl", hash = "sha256:c65c82126453a723a2804aa52409930434598fd9d35091d63dfb919d2b765bb7"},
+    {file = "jupyter_core-5.7.1.tar.gz", hash = "sha256:de61a9d7fc71240f688b2fb5ab659fbb56979458dc66a71decd098e03c79e218"},
 ]
 
 [package.dependencies]
@@ -1072,13 +1135,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.12.2"
+version = "2.12.5"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server-2.12.2-py3-none-any.whl", hash = "sha256:abcfa33f98a959f908c8733aa2d9fa0101d26941cbd49b148f4cef4d3046fc61"},
-    {file = "jupyter_server-2.12.2.tar.gz", hash = "sha256:5eae86be15224b5375cdec0c3542ce72ff20f7a25297a2a8166a250bb455a519"},
+    {file = "jupyter_server-2.12.5-py3-none-any.whl", hash = "sha256:184a0f82809a8522777cfb6b760ab6f4b1bb398664c5860a27cec696cb884923"},
+    {file = "jupyter_server-2.12.5.tar.gz", hash = "sha256:0edb626c94baa22809be1323f9770cf1c00a952b17097592e40d03e6a3951689"},
 ]
 
 [package.dependencies]
@@ -1108,13 +1171,13 @@ test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-sc
 
 [[package]]
 name = "jupyter-server-terminals"
-version = "0.5.1"
+version = "0.5.2"
 description = "A Jupyter Server Extension Providing Terminals."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server_terminals-0.5.1-py3-none-any.whl", hash = "sha256:5e63e947ddd97bb2832db5ef837a258d9ccd4192cd608c1270850ad947ae5dd7"},
-    {file = "jupyter_server_terminals-0.5.1.tar.gz", hash = "sha256:16d3be9cf48be6a1f943f3a6c93c033be259cf4779184c66421709cf63dccfea"},
+    {file = "jupyter_server_terminals-0.5.2-py3-none-any.whl", hash = "sha256:1b80c12765da979513c42c90215481bbc39bd8ae7c0350b4f85bc3eb58d0fa80"},
+    {file = "jupyter_server_terminals-0.5.2.tar.gz", hash = "sha256:396b5ccc0881e550bf0ee7012c6ef1b53edbde69e67cab1d56e89711b46052e8"},
 ]
 
 [package.dependencies]
@@ -1127,17 +1190,18 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
 
 [[package]]
 name = "jupyterlab"
-version = "4.0.11"
+version = "4.1.2"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab-4.0.11-py3-none-any.whl", hash = "sha256:536bf0e78723153a5016ca7efb88ed0ecd7070d3f1555d5b0e2770658f900a3c"},
-    {file = "jupyterlab-4.0.11.tar.gz", hash = "sha256:d1aec24712566bc25a36229788242778e498ca4088028e2f9aa156b8b7fdc8fc"},
+    {file = "jupyterlab-4.1.2-py3-none-any.whl", hash = "sha256:aa88193f03cf4d3555f6712f04d74112b5eb85edd7d222c588c7603a26d33c5b"},
+    {file = "jupyterlab-4.1.2.tar.gz", hash = "sha256:5d6348b3ed4085181499f621b7dfb6eb0b1f57f3586857aadfc8e3bf4c4885f9"},
 ]
 
 [package.dependencies]
 async-lru = ">=1.0.0"
+httpx = ">=0.25.0"
 ipykernel = "*"
 jinja2 = ">=3.0.3"
 jupyter-core = "*"
@@ -1150,9 +1214,9 @@ tornado = ">=6.2.0"
 traitlets = "*"
 
 [package.extras]
-dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.1.6)"]
-docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-tornasync", "sphinx (>=1.8,<7.2.0)", "sphinx-copybutton"]
-docs-screenshots = ["altair (==5.0.1)", "ipython (==8.14.0)", "ipywidgets (==8.0.6)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post0)", "matplotlib (==3.7.1)", "nbconvert (>=7.0.0)", "pandas (==2.0.2)", "scipy (==1.10.1)", "vega-datasets (==0.9.0)"]
+dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.2.0)"]
+docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"]
+docs-screenshots = ["altair (==5.2.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.1)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post6)", "matplotlib (==3.8.2)", "nbconvert (>=7.0.0)", "pandas (==2.2.0)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"]
 test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
 
 [[package]]
@@ -1168,13 +1232,13 @@ files = [
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.25.2"
+version = "2.25.3"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab_server-2.25.2-py3-none-any.whl", hash = "sha256:5b1798c9cc6a44f65c757de9f97fc06fc3d42535afbf47d2ace5e964ab447aaf"},
-    {file = "jupyterlab_server-2.25.2.tar.gz", hash = "sha256:bd0ec7a99ebcedc8bcff939ef86e52c378e44c2707e053fcd81d046ce979ee63"},
+    {file = "jupyterlab_server-2.25.3-py3-none-any.whl", hash = "sha256:c48862519fded9b418c71645d85a49b2f0ec50d032ba8316738e9276046088c1"},
+    {file = "jupyterlab_server-2.25.3.tar.gz", hash = "sha256:846f125a8a19656611df5b03e5912c8393cea6900859baa64fa515eb64a8dc40"},
 ]
 
 [package.dependencies]
@@ -1193,13 +1257,13 @@ test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-v
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "3.0.9"
+version = "3.0.10"
 description = "Jupyter interactive widgets for JupyterLab"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "jupyterlab_widgets-3.0.9-py3-none-any.whl", hash = "sha256:3cf5bdf5b897bf3bccf1c11873aa4afd776d7430200f765e0686bd352487b58d"},
-    {file = "jupyterlab_widgets-3.0.9.tar.gz", hash = "sha256:6005a4e974c7beee84060fdfba341a3218495046de8ae3ec64888e5fe19fdb4c"},
+    {file = "jupyterlab_widgets-3.0.10-py3-none-any.whl", hash = "sha256:dd61f3ae7a5a7f80299e14585ce6cf3d6925a96c9103c978eda293197730cb64"},
+    {file = "jupyterlab_widgets-3.0.10.tar.gz", hash = "sha256:04f2ac04976727e4f9d0fa91cdc2f1ab860f965e504c29dbd6a65c882c9d04c0"},
 ]
 
 [[package]]
@@ -1365,71 +1429,71 @@ files = [
 
 [[package]]
 name = "markupsafe"
-version = "2.1.3"
+version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:525808b8019e36eb524b8c68acdd63a37e75714eac50e988180b169d64480a00"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:962f82a3086483f5e5f64dbad880d31038b698494799b097bc59c2edf392fce6"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:aa7bd130efab1c280bed0f45501b7c8795f9fdbeb02e965371bbef3523627779"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c9c804664ebe8f83a211cace637506669e7890fec1b4195b505c214e50dd4eb7"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-win32.whl", hash = "sha256:10bbfe99883db80bdbaff2dcf681dfc6533a614f700da1287707e8a5d78a8431"},
-    {file = "MarkupSafe-2.1.3-cp310-cp310-win_amd64.whl", hash = "sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559"},
-    {file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c"},
-    {file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575"},
-    {file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee"},
-    {file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2"},
-    {file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:338ae27d6b8745585f87218a3f23f1512dbf52c26c28e322dbe54bcede54ccb9"},
-    {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e4dd52d80b8c83fdce44e12478ad2e85c64ea965e75d66dbeafb0a3e77308fcc"},
-    {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:df0be2b576a7abbf737b1575f048c23fb1d769f267ec4358296f31c2479db8f9"},
-    {file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"},
-    {file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"},
-    {file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"},
-    {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc"},
-    {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823"},
-    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11"},
-    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd"},
-    {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f67c7038d560d92149c060157d623c542173016c4babc0c1913cca0564b9939"},
-    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9aad3c1755095ce347e26488214ef77e0485a3c34a50c5a5e2471dff60b9dd9c"},
-    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c"},
-    {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1"},
-    {file = "MarkupSafe-2.1.3-cp312-cp312-win32.whl", hash = "sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"},
-    {file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"},
-    {file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"},
-    {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"},
-    {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"},
-    {file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca379055a47383d02a5400cb0d110cef0a776fc644cda797db0c5696cfd7e18e"},
-    {file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:b7ff0f54cb4ff66dd38bebd335a38e2c22c41a8ee45aa608efc890ac3e3931bc"},
-    {file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:c011a4149cfbcf9f03994ec2edffcb8b1dc2d2aede7ca243746df97a5d41ce48"},
-    {file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:56d9f2ecac662ca1611d183feb03a3fa4406469dafe241673d521dd5ae92a155"},
-    {file = "MarkupSafe-2.1.3-cp37-cp37m-win32.whl", hash = "sha256:8758846a7e80910096950b67071243da3e5a20ed2546e6392603c096778d48e0"},
-    {file = "MarkupSafe-2.1.3-cp37-cp37m-win_amd64.whl", hash = "sha256:787003c0ddb00500e49a10f2844fac87aa6ce977b90b0feaaf9de23c22508b24"},
-    {file = "MarkupSafe-2.1.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4"},
-    {file = "MarkupSafe-2.1.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0"},
-    {file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee"},
-    {file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be"},
-    {file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d080e0a5eb2529460b30190fcfcc4199bd7f827663f858a226a81bc27beaa97e"},
-    {file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:69c0f17e9f5a7afdf2cc9fb2d1ce6aabdb3bafb7f38017c0b77862bcec2bbad8"},
-    {file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:504b320cd4b7eff6f968eddf81127112db685e81f7e36e75f9f84f0df46041c3"},
-    {file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:42de32b22b6b804f42c5d98be4f7e5e977ecdd9ee9b660fda1a3edf03b11792d"},
-    {file = "MarkupSafe-2.1.3-cp38-cp38-win32.whl", hash = "sha256:ceb01949af7121f9fc39f7d27f91be8546f3fb112c608bc4029aef0bab86a2a5"},
-    {file = "MarkupSafe-2.1.3-cp38-cp38-win_amd64.whl", hash = "sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc"},
-    {file = "MarkupSafe-2.1.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198"},
-    {file = "MarkupSafe-2.1.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b"},
-    {file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58"},
-    {file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e"},
-    {file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:282c2cb35b5b673bbcadb33a585408104df04f14b2d9b01d4c345a3b92861c2c"},
-    {file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ab4a0df41e7c16a1392727727e7998a467472d0ad65f3ad5e6e765015df08636"},
-    {file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7ef3cb2ebbf91e330e3bb937efada0edd9003683db6b57bb108c4001f37a02ea"},
-    {file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:0a4e4a1aff6c7ac4cd55792abf96c915634c2b97e3cc1c7129578aa68ebd754e"},
-    {file = "MarkupSafe-2.1.3-cp39-cp39-win32.whl", hash = "sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2"},
-    {file = "MarkupSafe-2.1.3-cp39-cp39-win_amd64.whl", hash = "sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba"},
-    {file = "MarkupSafe-2.1.3.tar.gz", hash = "sha256:af598ed32d6ae86f1b747b82783958b1a4ab8f617b06fe68795c7f026abbdcad"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a17a92de5231666cfbe003f0e4b9b3a7ae3afb1ec2845aadc2bacc93ff85febc"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e61659ba32cf2cf1481e575d0462554625196a1f2fc06a1c777d3f48e8865d46"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2174c595a0d73a3080ca3257b40096db99799265e1c27cc5a610743acd86d62f"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ae2ad8ae6ebee9d2d94b17fb62763125f3f374c25618198f40cbb8b525411900"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:075202fa5b72c86ad32dc7d0b56024ebdbcf2048c0ba09f1cde31bfdd57bcfff"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:598e3276b64aff0e7b3451b72e94fa3c238d452e7ddcd893c3ab324717456bad"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fce659a462a1be54d2ffcacea5e3ba2d74daa74f30f5f143fe0c58636e355fdd"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-win32.whl", hash = "sha256:d9fad5155d72433c921b782e58892377c44bd6252b5af2f67f16b194987338a4"},
+    {file = "MarkupSafe-2.1.5-cp310-cp310-win_amd64.whl", hash = "sha256:bf50cd79a75d181c9181df03572cdce0fbb75cc353bc350712073108cba98de5"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:629ddd2ca402ae6dbedfceeba9c46d5f7b2a61d9749597d4307f943ef198fc1f"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5b7b716f97b52c5a14bffdf688f971b2d5ef4029127f1ad7a513973cfd818df2"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6ec585f69cec0aa07d945b20805be741395e28ac1627333b1c5b0105962ffced"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b91c037585eba9095565a3556f611e3cbfaa42ca1e865f7b8015fe5c7336d5a5"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7502934a33b54030eaf1194c21c692a534196063db72176b0c4028e140f8f32c"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:0e397ac966fdf721b2c528cf028494e86172b4feba51d65f81ffd65c63798f3f"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:c061bb86a71b42465156a3ee7bd58c8c2ceacdbeb95d05a99893e08b8467359a"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:3a57fdd7ce31c7ff06cdfbf31dafa96cc533c21e443d57f5b1ecc6cdc668ec7f"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-win32.whl", hash = "sha256:397081c1a0bfb5124355710fe79478cdbeb39626492b15d399526ae53422b906"},
+    {file = "MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl", hash = "sha256:2b7c57a4dfc4f16f7142221afe5ba4e093e09e728ca65c51f5620c9aaeb9a617"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:8dec4936e9c3100156f8a2dc89c4b88d5c435175ff03413b443469c7c8c5f4d1"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:3c6b973f22eb18a789b1460b4b91bf04ae3f0c4234a0a6aa6b0a92f6f7b951d4"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ac07bad82163452a6884fe8fa0963fb98c2346ba78d779ec06bd7a6262132aee"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5dfb42c4604dddc8e4305050aa6deb084540643ed5804d7455b5df8fe16f5e5"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ea3d8a3d18833cf4304cd2fc9cbb1efe188ca9b5efef2bdac7adc20594a0e46b"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:d050b3361367a06d752db6ead6e7edeb0009be66bc3bae0ee9d97fb326badc2a"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:bec0a414d016ac1a18862a519e54b2fd0fc8bbfd6890376898a6c0891dd82e9f"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:58c98fee265677f63a4385256a6d7683ab1832f3ddd1e66fe948d5880c21a169"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-win32.whl", hash = "sha256:8590b4ae07a35970728874632fed7bd57b26b0102df2d2b233b6d9d82f6c62ad"},
+    {file = "MarkupSafe-2.1.5-cp312-cp312-win_amd64.whl", hash = "sha256:823b65d8706e32ad2df51ed89496147a42a2a6e01c13cfb6ffb8b1e92bc910bb"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:c8b29db45f8fe46ad280a7294f5c3ec36dbac9491f2d1c17345be8e69cc5928f"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ec6a563cff360b50eed26f13adc43e61bc0c04d94b8be985e6fb24b81f6dcfdf"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a549b9c31bec33820e885335b451286e2969a2d9e24879f83fe904a5ce59d70a"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4f11aa001c540f62c6166c7726f71f7573b52c68c31f014c25cc7901deea0b52"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7b2e5a267c855eea6b4283940daa6e88a285f5f2a67f2220203786dfa59b37e9"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:2d2d793e36e230fd32babe143b04cec8a8b3eb8a3122d2aceb4a371e6b09b8df"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ce409136744f6521e39fd8e2a24c53fa18ad67aa5bc7c2cf83645cce5b5c4e50"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-win32.whl", hash = "sha256:4096e9de5c6fdf43fb4f04c26fb114f61ef0bf2e5604b6ee3019d51b69e8c371"},
+    {file = "MarkupSafe-2.1.5-cp37-cp37m-win_amd64.whl", hash = "sha256:4275d846e41ecefa46e2015117a9f491e57a71ddd59bbead77e904dc02b1bed2"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:656f7526c69fac7f600bd1f400991cc282b417d17539a1b228617081106feb4a"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:97cafb1f3cbcd3fd2b6fbfb99ae11cdb14deea0736fc2b0952ee177f2b813a46"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1f3fbcb7ef1f16e48246f704ab79d79da8a46891e2da03f8783a5b6fa41a9532"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fa9db3f79de01457b03d4f01b34cf91bc0048eb2c3846ff26f66687c2f6d16ab"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ffee1f21e5ef0d712f9033568f8344d5da8cc2869dbd08d87c84656e6a2d2f68"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:5dedb4db619ba5a2787a94d877bc8ffc0566f92a01c0ef214865e54ecc9ee5e0"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:30b600cf0a7ac9234b2638fbc0fb6158ba5bdcdf46aeb631ead21248b9affbc4"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8dd717634f5a044f860435c1d8c16a270ddf0ef8588d4887037c5028b859b0c3"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-win32.whl", hash = "sha256:daa4ee5a243f0f20d528d939d06670a298dd39b1ad5f8a72a4275124a7819eff"},
+    {file = "MarkupSafe-2.1.5-cp38-cp38-win_amd64.whl", hash = "sha256:619bc166c4f2de5caa5a633b8b7326fbe98e0ccbfacabd87268a2b15ff73a029"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7a68b554d356a91cce1236aa7682dc01df0edba8d043fd1ce607c49dd3c1edcf"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:db0b55e0f3cc0be60c1f19efdde9a637c32740486004f20d1cff53c3c0ece4d2"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e53af139f8579a6d5f7b76549125f0d94d7e630761a2111bc431fd820e163b8"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17b950fccb810b3293638215058e432159d2b71005c74371d784862b7e4683f3"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4c31f53cdae6ecfa91a77820e8b151dba54ab528ba65dfd235c80b086d68a465"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:bff1b4290a66b490a2f4719358c0cdcd9bafb6b8f061e45c7a2460866bf50c2e"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:bc1667f8b83f48511b94671e0e441401371dfd0f0a795c7daa4a3cd1dde55bea"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:5049256f536511ee3f7e1b3f87d1d1209d327e818e6ae1365e8653d7e3abb6a6"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-win32.whl", hash = "sha256:00e046b6dd71aa03a41079792f8473dc494d564611a8f89bbbd7cb93295ebdcf"},
+    {file = "MarkupSafe-2.1.5-cp39-cp39-win_amd64.whl", hash = "sha256:fa173ec60341d6bb97a89f5ea19c85c5643c1e7dedebc22f5181eb73573142c5"},
+    {file = "MarkupSafe-2.1.5.tar.gz", hash = "sha256:d283d37a890ba4c1ae73ffadf8046435c76e7bc2247bbb63c00bd1a709c6544b"},
 ]
 
 [[package]]
@@ -1449,39 +1513,39 @@ numpy = "*"
 
 [[package]]
 name = "matplotlib"
-version = "3.8.2"
+version = "3.8.3"
 description = "Python plotting package"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "matplotlib-3.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:09796f89fb71a0c0e1e2f4bdaf63fb2cefc84446bb963ecdeb40dfee7dfa98c7"},
-    {file = "matplotlib-3.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f9c6976748a25e8b9be51ea028df49b8e561eed7809146da7a47dbecebab367"},
-    {file = "matplotlib-3.8.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b78e4f2cedf303869b782071b55fdde5987fda3038e9d09e58c91cc261b5ad18"},
-    {file = "matplotlib-3.8.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4e208f46cf6576a7624195aa047cb344a7f802e113bb1a06cfd4bee431de5e31"},
-    {file = "matplotlib-3.8.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:46a569130ff53798ea5f50afce7406e91fdc471ca1e0e26ba976a8c734c9427a"},
-    {file = "matplotlib-3.8.2-cp310-cp310-win_amd64.whl", hash = "sha256:830f00640c965c5b7f6bc32f0d4ce0c36dfe0379f7dd65b07a00c801713ec40a"},
-    {file = "matplotlib-3.8.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d86593ccf546223eb75a39b44c32788e6f6440d13cfc4750c1c15d0fcb850b63"},
-    {file = "matplotlib-3.8.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9a5430836811b7652991939012f43d2808a2db9b64ee240387e8c43e2e5578c8"},
-    {file = "matplotlib-3.8.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9576723858a78751d5aacd2497b8aef29ffea6d1c95981505877f7ac28215c6"},
-    {file = "matplotlib-3.8.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ba9cbd8ac6cf422f3102622b20f8552d601bf8837e49a3afed188d560152788"},
-    {file = "matplotlib-3.8.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:03f9d160a29e0b65c0790bb07f4f45d6a181b1ac33eb1bb0dd225986450148f0"},
-    {file = "matplotlib-3.8.2-cp311-cp311-win_amd64.whl", hash = "sha256:3773002da767f0a9323ba1a9b9b5d00d6257dbd2a93107233167cfb581f64717"},
-    {file = "matplotlib-3.8.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:4c318c1e95e2f5926fba326f68177dee364aa791d6df022ceb91b8221bd0a627"},
-    {file = "matplotlib-3.8.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:091275d18d942cf1ee9609c830a1bc36610607d8223b1b981c37d5c9fc3e46a4"},
-    {file = "matplotlib-3.8.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1b0f3b8ea0e99e233a4bcc44590f01604840d833c280ebb8fe5554fd3e6cfe8d"},
-    {file = "matplotlib-3.8.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d7b1704a530395aaf73912be741c04d181f82ca78084fbd80bc737be04848331"},
-    {file = "matplotlib-3.8.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:533b0e3b0c6768eef8cbe4b583731ce25a91ab54a22f830db2b031e83cca9213"},
-    {file = "matplotlib-3.8.2-cp312-cp312-win_amd64.whl", hash = "sha256:0f4fc5d72b75e2c18e55eb32292659cf731d9d5b312a6eb036506304f4675630"},
-    {file = "matplotlib-3.8.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:deaed9ad4da0b1aea77fe0aa0cebb9ef611c70b3177be936a95e5d01fa05094f"},
-    {file = "matplotlib-3.8.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:172f4d0fbac3383d39164c6caafd3255ce6fa58f08fc392513a0b1d3b89c4f89"},
-    {file = "matplotlib-3.8.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c7d36c2209d9136cd8e02fab1c0ddc185ce79bc914c45054a9f514e44c787917"},
-    {file = "matplotlib-3.8.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5864bdd7da445e4e5e011b199bb67168cdad10b501750367c496420f2ad00843"},
-    {file = "matplotlib-3.8.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ef8345b48e95cee45ff25192ed1f4857273117917a4dcd48e3905619bcd9c9b8"},
-    {file = "matplotlib-3.8.2-cp39-cp39-win_amd64.whl", hash = "sha256:7c48d9e221b637c017232e3760ed30b4e8d5dfd081daf327e829bf2a72c731b4"},
-    {file = "matplotlib-3.8.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:aa11b3c6928a1e496c1a79917d51d4cd5d04f8a2e75f21df4949eeefdf697f4b"},
-    {file = "matplotlib-3.8.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d1095fecf99eeb7384dabad4bf44b965f929a5f6079654b681193edf7169ec20"},
-    {file = "matplotlib-3.8.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:bddfb1db89bfaa855912261c805bd0e10218923cc262b9159a49c29a7a1c1afa"},
-    {file = "matplotlib-3.8.2.tar.gz", hash = "sha256:01a978b871b881ee76017152f1f1a0cbf6bd5f7b8ff8c96df0df1bd57d8755a1"},
+    {file = "matplotlib-3.8.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:cf60138ccc8004f117ab2a2bad513cc4d122e55864b4fe7adf4db20ca68a078f"},
+    {file = "matplotlib-3.8.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5f557156f7116be3340cdeef7f128fa99b0d5d287d5f41a16e169819dcf22357"},
+    {file = "matplotlib-3.8.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f386cf162b059809ecfac3bcc491a9ea17da69fa35c8ded8ad154cd4b933d5ec"},
+    {file = "matplotlib-3.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b3c5f96f57b0369c288bf6f9b5274ba45787f7e0589a34d24bdbaf6d3344632f"},
+    {file = "matplotlib-3.8.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:83e0f72e2c116ca7e571c57aa29b0fe697d4c6425c4e87c6e994159e0c008635"},
+    {file = "matplotlib-3.8.3-cp310-cp310-win_amd64.whl", hash = "sha256:1c5c8290074ba31a41db1dc332dc2b62def469ff33766cbe325d32a3ee291aea"},
+    {file = "matplotlib-3.8.3-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:5184e07c7e1d6d1481862ee361905b7059f7fe065fc837f7c3dc11eeb3f2f900"},
+    {file = "matplotlib-3.8.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d7e7e0993d0758933b1a241a432b42c2db22dfa37d4108342ab4afb9557cbe3e"},
+    {file = "matplotlib-3.8.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:04b36ad07eac9740fc76c2aa16edf94e50b297d6eb4c081e3add863de4bb19a7"},
+    {file = "matplotlib-3.8.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7c42dae72a62f14982f1474f7e5c9959fc4bc70c9de11cc5244c6e766200ba65"},
+    {file = "matplotlib-3.8.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:bf5932eee0d428192c40b7eac1399d608f5d995f975cdb9d1e6b48539a5ad8d0"},
+    {file = "matplotlib-3.8.3-cp311-cp311-win_amd64.whl", hash = "sha256:40321634e3a05ed02abf7c7b47a50be50b53ef3eaa3a573847431a545585b407"},
+    {file = "matplotlib-3.8.3-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:09074f8057917d17ab52c242fdf4916f30e99959c1908958b1fc6032e2d0f6d4"},
+    {file = "matplotlib-3.8.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:5745f6d0fb5acfabbb2790318db03809a253096e98c91b9a31969df28ee604aa"},
+    {file = "matplotlib-3.8.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b97653d869a71721b639714b42d87cda4cfee0ee74b47c569e4874c7590c55c5"},
+    {file = "matplotlib-3.8.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:242489efdb75b690c9c2e70bb5c6550727058c8a614e4c7716f363c27e10bba1"},
+    {file = "matplotlib-3.8.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:83c0653c64b73926730bd9ea14aa0f50f202ba187c307a881673bad4985967b7"},
+    {file = "matplotlib-3.8.3-cp312-cp312-win_amd64.whl", hash = "sha256:ef6c1025a570354297d6c15f7d0f296d95f88bd3850066b7f1e7b4f2f4c13a39"},
+    {file = "matplotlib-3.8.3-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:c4af3f7317f8a1009bbb2d0bf23dfaba859eb7dd4ccbd604eba146dccaaaf0a4"},
+    {file = "matplotlib-3.8.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4c6e00a65d017d26009bac6808f637b75ceade3e1ff91a138576f6b3065eeeba"},
+    {file = "matplotlib-3.8.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e7b49ab49a3bea17802df6872f8d44f664ba8f9be0632a60c99b20b6db2165b7"},
+    {file = "matplotlib-3.8.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6728dde0a3997396b053602dbd907a9bd64ec7d5cf99e728b404083698d3ca01"},
+    {file = "matplotlib-3.8.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:813925d08fb86aba139f2d31864928d67511f64e5945ca909ad5bc09a96189bb"},
+    {file = "matplotlib-3.8.3-cp39-cp39-win_amd64.whl", hash = "sha256:cd3a0c2be76f4e7be03d34a14d49ded6acf22ef61f88da600a18a5cd8b3c5f3c"},
+    {file = "matplotlib-3.8.3-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:fa93695d5c08544f4a0dfd0965f378e7afc410d8672816aff1e81be1f45dbf2e"},
+    {file = "matplotlib-3.8.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9764df0e8778f06414b9d281a75235c1e85071f64bb5d71564b97c1306a2afc"},
+    {file = "matplotlib-3.8.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:5e431a09e6fab4012b01fc155db0ce6dccacdbabe8198197f523a4ef4805eb26"},
+    {file = "matplotlib-3.8.3.tar.gz", hash = "sha256:7b416239e9ae38be54b028abbf9048aff5054a9aba5416bef0bd17f9162ce161"},
 ]
 
 [package.dependencies]
@@ -1522,18 +1586,17 @@ files = [
 
 [[package]]
 name = "mne"
-version = "1.6.0"
+version = "1.6.1"
 description = "MNE-Python project for MEG and EEG data analysis."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mne-1.6.0-py3-none-any.whl", hash = "sha256:7c61f88dd0770664340a5081c2095ed6737e850d161c29a4d07aa347294a9882"},
-    {file = "mne-1.6.0.tar.gz", hash = "sha256:2c606ac60433c5d7228cc48712e73398414b7c3c18bca999ffc58a95b16b08ee"},
+    {file = "mne-1.6.1-py3-none-any.whl", hash = "sha256:4d36517c1eafd2399d8f1fbd62cf9416d8b2ec98cd65b1dfed2876c4220bf0f9"},
+    {file = "mne-1.6.1.tar.gz", hash = "sha256:e4f5683d01cef675eddad788bdb6b44cc015dff0fb1ddfca3c4105edfb757ef8"},
 ]
 
 [package.dependencies]
 decorator = "*"
-defusedxml = "*"
 jinja2 = "*"
 lazy-loader = ">=0.3"
 matplotlib = ">=3.5.0"
@@ -1546,7 +1609,7 @@ tqdm = "*"
 [package.extras]
 dev = ["mne[doc,test]"]
 doc = ["graphviz", "ipython (!=8.7.0)", "memory-profiler", "mne-bids", "mne-connectivity", "mne-gui-addons", "neo", "numpydoc", "pydata-sphinx-theme (==0.13.3)", "pygments (>=2.13)", "pytest", "pyxdf", "pyzmq (!=24.0.0)", "seaborn (!=0.11.2)", "selenium", "sphinx (>=6)", "sphinx-copybutton", "sphinx-design", "sphinx-gallery", "sphinxcontrib-bibtex (>=2.5)", "sphinxcontrib-youtube"]
-full = ["PyQt6", "darkdetect", "dipy", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "mne[hdf5]", "nibabel", "nilearn", "numba", "numexpr", "openmeeg (>=2.5.5)", "pandas", "psutil", "pyobjc-framework-Cocoa (>=5.2.0)", "python-picard", "pyvista (>=0.32,!=0.35.2,!=0.38.0,!=0.38.1,!=0.38.2,!=0.38.3,!=0.38.4,!=0.38.5,!=0.38.6,!=0.42.0)", "pyvistaqt (>=0.4)", "qdarkstyle", "qtpy", "scikit-learn", "sip", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk", "xlrd"]
+full = ["EDFlib-Python", "PyQt6 (!=6.6.1)", "PyQt6-Qt6 (!=6.6.1)", "darkdetect", "defusedxml", "dipy", "eeglabio", "h5py", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "ipyevents", "ipympl", "ipywidgets", "joblib", "jupyter", "mffpy (>=0.5.7)", "mne-qt-browser", "mne[hdf5]", "nibabel", "nilearn", "numba", "numexpr", "openmeeg (>=2.5.5)", "pandas", "psutil", "pybv", "pyobjc-framework-Cocoa (>=5.2.0)", "python-picard", "pyvista (>=0.32,!=0.35.2,!=0.38.0,!=0.38.1,!=0.38.2,!=0.38.3,!=0.38.4,!=0.38.5,!=0.38.6,!=0.42.0)", "pyvistaqt (>=0.4)", "qdarkstyle", "qtpy", "scikit-learn", "sip", "snirf", "statsmodels", "threadpoolctl", "traitlets", "trame", "trame-vtk", "trame-vuetify", "vtk", "xlrd"]
 hdf5 = ["h5io", "pymatreader"]
 test = ["black", "check-manifest", "codespell", "numpydoc", "pre-commit", "pytest", "pytest-cov", "pytest-harvest", "pytest-qt", "pytest-timeout", "ruff", "tomli", "twine", "wheel"]
 test-extra = ["EDFlib-Python", "eeglabio", "imageio (>=2.6.1)", "imageio-ffmpeg (>=0.4.1)", "mne[test]", "nbclient", "nitime", "pybv", "snirf", "sphinx-gallery"]
@@ -1575,13 +1638,13 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=
 
 [[package]]
 name = "nbconvert"
-version = "7.14.0"
-description = "Converting Jupyter Notebooks"
+version = "7.16.1"
+description = "Converting Jupyter Notebooks (.ipynb files) to other formats.  Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script.  nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "nbconvert-7.14.0-py3-none-any.whl", hash = "sha256:483dde47facdaa4875903d651305ad53cd76e2255ae3c61efe412a95f2d22a24"},
-    {file = "nbconvert-7.14.0.tar.gz", hash = "sha256:92b9a44b63e5a7fb4f6fa0ef41261e35c16925046ccd1c04a5c8099bf100476e"},
+    {file = "nbconvert-7.16.1-py3-none-any.whl", hash = "sha256:3188727dffadfdc9c6a1c7250729063d7bc78b355ad7aa023138afa030d1cd07"},
+    {file = "nbconvert-7.16.1.tar.gz", hash = "sha256:e79e6a074f49ba3ed29428ed86487bf51509d9aab613bd8522ac08f6d28fd7fd"},
 ]
 
 [package.dependencies]
@@ -1633,13 +1696,13 @@ test = ["pep440", "pre-commit", "pytest", "testpath"]
 
 [[package]]
 name = "nest-asyncio"
-version = "1.5.8"
+version = "1.6.0"
 description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
 files = [
-    {file = "nest_asyncio-1.5.8-py3-none-any.whl", hash = "sha256:accda7a339a70599cb08f9dd09a67e0c2ef8d8d6f4c07f96ab203f2ae254e48d"},
-    {file = "nest_asyncio-1.5.8.tar.gz", hash = "sha256:25aa2ca0d2a5b5531956b9e273b45cf664cae2b145101d73b86b199978d48fdb"},
+    {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"},
+    {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"},
 ]
 
 [[package]]
@@ -1673,18 +1736,18 @@ zstd = ["pyzstd (>=0.14.3)"]
 
 [[package]]
 name = "notebook"
-version = "7.0.7"
+version = "7.1.0"
 description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "notebook-7.0.7-py3-none-any.whl", hash = "sha256:289b606d7e173f75a18beb1406ef411b43f97f7a9c55ba03efa3622905a62346"},
-    {file = "notebook-7.0.7.tar.gz", hash = "sha256:3bcff00c17b3ac142ef5f436d50637d936b274cfa0b41f6ac0175363de9b4e09"},
+    {file = "notebook-7.1.0-py3-none-any.whl", hash = "sha256:a8fa4ccb5e5fe220f29d9900337efd7752bc6f2efe004d6f320db01f7743adc9"},
+    {file = "notebook-7.1.0.tar.gz", hash = "sha256:99caf01ff166b1cc86355c9b37c1ba9bf566c1d7fc4ab57bb6f8f24e36c4260e"},
 ]
 
 [package.dependencies]
 jupyter-server = ">=2.4.0,<3"
-jupyterlab = ">=4.0.2,<5"
+jupyterlab = ">=4.1.1,<4.2"
 jupyterlab-server = ">=2.22.1,<3"
 notebook-shim = ">=0.2,<0.3"
 tornado = ">=6.2.0"
@@ -1696,13 +1759,13 @@ test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4
 
 [[package]]
 name = "notebook-shim"
-version = "0.2.3"
+version = "0.2.4"
 description = "A shim layer for notebook traits and config"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "notebook_shim-0.2.3-py3-none-any.whl", hash = "sha256:a83496a43341c1674b093bfcebf0fe8e74cbe7eda5fd2bbc56f8e39e1486c0c7"},
-    {file = "notebook_shim-0.2.3.tar.gz", hash = "sha256:f69388ac283ae008cd506dda10d0288b09a017d822d5e8c7129a152cbd3ce7e9"},
+    {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"},
+    {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"},
 ]
 
 [package.dependencies]
@@ -1747,58 +1810,58 @@ numpy = ">=1.22,<1.27"
 
 [[package]]
 name = "numpy"
-version = "1.26.3"
+version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "numpy-1.26.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:806dd64230dbbfaca8a27faa64e2f414bf1c6622ab78cc4264f7f5f028fee3bf"},
-    {file = "numpy-1.26.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:02f98011ba4ab17f46f80f7f8f1c291ee7d855fcef0a5a98db80767a468c85cd"},
-    {file = "numpy-1.26.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d45b3ec2faed4baca41c76617fcdcfa4f684ff7a151ce6fc78ad3b6e85af0a6"},
-    {file = "numpy-1.26.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bdd2b45bf079d9ad90377048e2747a0c82351989a2165821f0c96831b4a2a54b"},
-    {file = "numpy-1.26.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:211ddd1e94817ed2d175b60b6374120244a4dd2287f4ece45d49228b4d529178"},
-    {file = "numpy-1.26.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:b1240f767f69d7c4c8a29adde2310b871153df9b26b5cb2b54a561ac85146485"},
-    {file = "numpy-1.26.3-cp310-cp310-win32.whl", hash = "sha256:21a9484e75ad018974a2fdaa216524d64ed4212e418e0a551a2d83403b0531d3"},
-    {file = "numpy-1.26.3-cp310-cp310-win_amd64.whl", hash = "sha256:9e1591f6ae98bcfac2a4bbf9221c0b92ab49762228f38287f6eeb5f3f55905ce"},
-    {file = "numpy-1.26.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b831295e5472954104ecb46cd98c08b98b49c69fdb7040483aff799a755a7374"},
-    {file = "numpy-1.26.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:9e87562b91f68dd8b1c39149d0323b42e0082db7ddb8e934ab4c292094d575d6"},
-    {file = "numpy-1.26.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c66d6fec467e8c0f975818c1796d25c53521124b7cfb760114be0abad53a0a2"},
-    {file = "numpy-1.26.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f25e2811a9c932e43943a2615e65fc487a0b6b49218899e62e426e7f0a57eeda"},
-    {file = "numpy-1.26.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:af36e0aa45e25c9f57bf684b1175e59ea05d9a7d3e8e87b7ae1a1da246f2767e"},
-    {file = "numpy-1.26.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:51c7f1b344f302067b02e0f5b5d2daa9ed4a721cf49f070280ac202738ea7f00"},
-    {file = "numpy-1.26.3-cp311-cp311-win32.whl", hash = "sha256:7ca4f24341df071877849eb2034948459ce3a07915c2734f1abb4018d9c49d7b"},
-    {file = "numpy-1.26.3-cp311-cp311-win_amd64.whl", hash = "sha256:39763aee6dfdd4878032361b30b2b12593fb445ddb66bbac802e2113eb8a6ac4"},
-    {file = "numpy-1.26.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a7081fd19a6d573e1a05e600c82a1c421011db7935ed0d5c483e9dd96b99cf13"},
-    {file = "numpy-1.26.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:12c70ac274b32bc00c7f61b515126c9205323703abb99cd41836e8125ea0043e"},
-    {file = "numpy-1.26.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7f784e13e598e9594750b2ef6729bcd5a47f6cfe4a12cca13def35e06d8163e3"},
-    {file = "numpy-1.26.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5f24750ef94d56ce6e33e4019a8a4d68cfdb1ef661a52cdaee628a56d2437419"},
-    {file = "numpy-1.26.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:77810ef29e0fb1d289d225cabb9ee6cf4d11978a00bb99f7f8ec2132a84e0166"},
-    {file = "numpy-1.26.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8ed07a90f5450d99dad60d3799f9c03c6566709bd53b497eb9ccad9a55867f36"},
-    {file = "numpy-1.26.3-cp312-cp312-win32.whl", hash = "sha256:f73497e8c38295aaa4741bdfa4fda1a5aedda5473074369eca10626835445511"},
-    {file = "numpy-1.26.3-cp312-cp312-win_amd64.whl", hash = "sha256:da4b0c6c699a0ad73c810736303f7fbae483bcb012e38d7eb06a5e3b432c981b"},
-    {file = "numpy-1.26.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:1666f634cb3c80ccbd77ec97bc17337718f56d6658acf5d3b906ca03e90ce87f"},
-    {file = "numpy-1.26.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:18c3319a7d39b2c6a9e3bb75aab2304ab79a811ac0168a671a62e6346c29b03f"},
-    {file = "numpy-1.26.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b7e807d6888da0db6e7e75838444d62495e2b588b99e90dd80c3459594e857b"},
-    {file = "numpy-1.26.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4d362e17bcb0011738c2d83e0a65ea8ce627057b2fdda37678f4374a382a137"},
-    {file = "numpy-1.26.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b8c275f0ae90069496068c714387b4a0eba5d531aace269559ff2b43655edd58"},
-    {file = "numpy-1.26.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:cc0743f0302b94f397a4a65a660d4cd24267439eb16493fb3caad2e4389bccbb"},
-    {file = "numpy-1.26.3-cp39-cp39-win32.whl", hash = "sha256:9bc6d1a7f8cedd519c4b7b1156d98e051b726bf160715b769106661d567b3f03"},
-    {file = "numpy-1.26.3-cp39-cp39-win_amd64.whl", hash = "sha256:867e3644e208c8922a3be26fc6bbf112a035f50f0a86497f98f228c50c607bb2"},
-    {file = "numpy-1.26.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3c67423b3703f8fbd90f5adaa37f85b5794d3366948efe9a5190a5f3a83fc34e"},
-    {file = "numpy-1.26.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46f47ee566d98849323f01b349d58f2557f02167ee301e5e28809a8c0e27a2d0"},
-    {file = "numpy-1.26.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a8474703bffc65ca15853d5fd4d06b18138ae90c17c8d12169968e998e448bb5"},
-    {file = "numpy-1.26.3.tar.gz", hash = "sha256:697df43e2b6310ecc9d95f05d5ef20eacc09c7c4ecc9da3f235d39e71b7da1e4"},
+    {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
+    {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
+    {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"},
+    {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"},
+    {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"},
+    {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"},
+    {file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"},
+    {file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"},
+    {file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"},
+    {file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"},
+    {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"},
+    {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"},
+    {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"},
+    {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"},
+    {file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"},
+    {file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"},
+    {file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"},
+    {file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"},
+    {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"},
+    {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"},
+    {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"},
+    {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"},
+    {file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"},
+    {file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"},
+    {file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"},
+    {file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"},
+    {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"},
+    {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"},
+    {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"},
+    {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"},
+    {file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"},
+    {file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"},
+    {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"},
+    {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
 ]
 
 [[package]]
 name = "overrides"
-version = "7.4.0"
+version = "7.7.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "overrides-7.4.0-py3-none-any.whl", hash = "sha256:3ad24583f86d6d7a49049695efe9933e67ba62f0c7625d53c59fa832ce4b8b7d"},
-    {file = "overrides-7.4.0.tar.gz", hash = "sha256:9502a3cca51f4fac40b5feca985b6703a5c1f6ad815588a7ca9e285b9dca6757"},
+    {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"},
+    {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"},
 ]
 
 [[package]]
@@ -1814,77 +1877,81 @@ files = [
 
 [[package]]
 name = "pandas"
-version = "2.1.4"
+version = "2.2.0"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "pandas-2.1.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bdec823dc6ec53f7a6339a0e34c68b144a7a1fd28d80c260534c39c62c5bf8c9"},
-    {file = "pandas-2.1.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:294d96cfaf28d688f30c918a765ea2ae2e0e71d3536754f4b6de0ea4a496d034"},
-    {file = "pandas-2.1.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b728fb8deba8905b319f96447a27033969f3ea1fea09d07d296c9030ab2ed1d"},
-    {file = "pandas-2.1.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00028e6737c594feac3c2df15636d73ace46b8314d236100b57ed7e4b9ebe8d9"},
-    {file = "pandas-2.1.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:426dc0f1b187523c4db06f96fb5c8d1a845e259c99bda74f7de97bd8a3bb3139"},
-    {file = "pandas-2.1.4-cp310-cp310-win_amd64.whl", hash = "sha256:f237e6ca6421265643608813ce9793610ad09b40154a3344a088159590469e46"},
-    {file = "pandas-2.1.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b7d852d16c270e4331f6f59b3e9aa23f935f5c4b0ed2d0bc77637a8890a5d092"},
-    {file = "pandas-2.1.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:bd7d5f2f54f78164b3d7a40f33bf79a74cdee72c31affec86bfcabe7e0789821"},
-    {file = "pandas-2.1.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0aa6e92e639da0d6e2017d9ccff563222f4eb31e4b2c3cf32a2a392fc3103c0d"},
-    {file = "pandas-2.1.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d797591b6846b9db79e65dc2d0d48e61f7db8d10b2a9480b4e3faaddc421a171"},
-    {file = "pandas-2.1.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d2d3e7b00f703aea3945995ee63375c61b2e6aa5aa7871c5d622870e5e137623"},
-    {file = "pandas-2.1.4-cp311-cp311-win_amd64.whl", hash = "sha256:dc9bf7ade01143cddc0074aa6995edd05323974e6e40d9dbde081021ded8510e"},
-    {file = "pandas-2.1.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:482d5076e1791777e1571f2e2d789e940dedd927325cc3cb6d0800c6304082f6"},
-    {file = "pandas-2.1.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:8a706cfe7955c4ca59af8c7a0517370eafbd98593155b48f10f9811da440248b"},
-    {file = "pandas-2.1.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b0513a132a15977b4a5b89aabd304647919bc2169eac4c8536afb29c07c23540"},
-    {file = "pandas-2.1.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9f17f2b6fc076b2a0078862547595d66244db0f41bf79fc5f64a5c4d635bead"},
-    {file = "pandas-2.1.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:45d63d2a9b1b37fa6c84a68ba2422dc9ed018bdaa668c7f47566a01188ceeec1"},
-    {file = "pandas-2.1.4-cp312-cp312-win_amd64.whl", hash = "sha256:f69b0c9bb174a2342818d3e2778584e18c740d56857fc5cdb944ec8bbe4082cf"},
-    {file = "pandas-2.1.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3f06bda01a143020bad20f7a85dd5f4a1600112145f126bc9e3e42077c24ef34"},
-    {file = "pandas-2.1.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ab5796839eb1fd62a39eec2916d3e979ec3130509930fea17fe6f81e18108f6a"},
-    {file = "pandas-2.1.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:edbaf9e8d3a63a9276d707b4d25930a262341bca9874fcb22eff5e3da5394732"},
-    {file = "pandas-2.1.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1ebfd771110b50055712b3b711b51bee5d50135429364d0498e1213a7adc2be8"},
-    {file = "pandas-2.1.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8ea107e0be2aba1da619cc6ba3f999b2bfc9669a83554b1904ce3dd9507f0860"},
-    {file = "pandas-2.1.4-cp39-cp39-win_amd64.whl", hash = "sha256:d65148b14788b3758daf57bf42725caa536575da2b64df9964c563b015230984"},
-    {file = "pandas-2.1.4.tar.gz", hash = "sha256:fcb68203c833cc735321512e13861358079a96c174a61f5116a1de89c58c0ef7"},
+    {file = "pandas-2.2.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8108ee1712bb4fa2c16981fba7e68b3f6ea330277f5ca34fa8d557e986a11670"},
+    {file = "pandas-2.2.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:736da9ad4033aeab51d067fc3bd69a0ba36f5a60f66a527b3d72e2030e63280a"},
+    {file = "pandas-2.2.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:38e0b4fc3ddceb56ec8a287313bc22abe17ab0eb184069f08fc6a9352a769b18"},
+    {file = "pandas-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20404d2adefe92aed3b38da41d0847a143a09be982a31b85bc7dd565bdba0f4e"},
+    {file = "pandas-2.2.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:7ea3ee3f125032bfcade3a4cf85131ed064b4f8dd23e5ce6fa16473e48ebcaf5"},
+    {file = "pandas-2.2.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:f9670b3ac00a387620489dfc1bca66db47a787f4e55911f1293063a78b108df1"},
+    {file = "pandas-2.2.0-cp310-cp310-win_amd64.whl", hash = "sha256:5a946f210383c7e6d16312d30b238fd508d80d927014f3b33fb5b15c2f895430"},
+    {file = "pandas-2.2.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a1b438fa26b208005c997e78672f1aa8138f67002e833312e6230f3e57fa87d5"},
+    {file = "pandas-2.2.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8ce2fbc8d9bf303ce54a476116165220a1fedf15985b09656b4b4275300e920b"},
+    {file = "pandas-2.2.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2707514a7bec41a4ab81f2ccce8b382961a29fbe9492eab1305bb075b2b1ff4f"},
+    {file = "pandas-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:85793cbdc2d5bc32620dc8ffa715423f0c680dacacf55056ba13454a5be5de88"},
+    {file = "pandas-2.2.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:cfd6c2491dc821b10c716ad6776e7ab311f7df5d16038d0b7458bc0b67dc10f3"},
+    {file = "pandas-2.2.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a146b9dcacc3123aa2b399df1a284de5f46287a4ab4fbfc237eac98a92ebcb71"},
+    {file = "pandas-2.2.0-cp311-cp311-win_amd64.whl", hash = "sha256:fbc1b53c0e1fdf16388c33c3cca160f798d38aea2978004dd3f4d3dec56454c9"},
+    {file = "pandas-2.2.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a41d06f308a024981dcaa6c41f2f2be46a6b186b902c94c2674e8cb5c42985bc"},
+    {file = "pandas-2.2.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:159205c99d7a5ce89ecfc37cb08ed179de7783737cea403b295b5eda8e9c56d1"},
+    {file = "pandas-2.2.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:eb1e1f3861ea9132b32f2133788f3b14911b68102d562715d71bd0013bc45440"},
+    {file = "pandas-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:761cb99b42a69005dec2b08854fb1d4888fdf7b05db23a8c5a099e4b886a2106"},
+    {file = "pandas-2.2.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:a20628faaf444da122b2a64b1e5360cde100ee6283ae8effa0d8745153809a2e"},
+    {file = "pandas-2.2.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:f5be5d03ea2073627e7111f61b9f1f0d9625dc3c4d8dda72cc827b0c58a1d042"},
+    {file = "pandas-2.2.0-cp312-cp312-win_amd64.whl", hash = "sha256:a626795722d893ed6aacb64d2401d017ddc8a2341b49e0384ab9bf7112bdec30"},
+    {file = "pandas-2.2.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9f66419d4a41132eb7e9a73dcec9486cf5019f52d90dd35547af11bc58f8637d"},
+    {file = "pandas-2.2.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:57abcaeda83fb80d447f28ab0cc7b32b13978f6f733875ebd1ed14f8fbc0f4ab"},
+    {file = "pandas-2.2.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e60f1f7dba3c2d5ca159e18c46a34e7ca7247a73b5dd1a22b6d59707ed6b899a"},
+    {file = "pandas-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb61dc8567b798b969bcc1fc964788f5a68214d333cade8319c7ab33e2b5d88a"},
+    {file = "pandas-2.2.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:52826b5f4ed658fa2b729264d63f6732b8b29949c7fd234510d57c61dbeadfcd"},
+    {file = "pandas-2.2.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:bde2bc699dbd80d7bc7f9cab1e23a95c4375de615860ca089f34e7c64f4a8de7"},
+    {file = "pandas-2.2.0-cp39-cp39-win_amd64.whl", hash = "sha256:3de918a754bbf2da2381e8a3dcc45eede8cd7775b047b923f9006d5f876802ae"},
+    {file = "pandas-2.2.0.tar.gz", hash = "sha256:30b83f7c3eb217fb4d1b494a57a2fda5444f17834f5df2de6b2ffff68dc3c8e2"},
 ]
 
 [package.dependencies]
 numpy = {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""}
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
-tzdata = ">=2022.1"
+tzdata = ">=2022.7"
 
 [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-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)"]
+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 (>=3.0.10)", "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)"]
+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)"]
+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 (>=4.8.0)"]
+xml = ["lxml (>=4.9.2)"]
 
 [[package]]
 name = "pandocfilters"
-version = "1.5.0"
+version = "1.5.1"
 description = "Utilities for writing pandoc filters in python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
-    {file = "pandocfilters-1.5.0-py2.py3-none-any.whl", hash = "sha256:33aae3f25fd1a026079f5d27bdd52496f0e0803b3469282162bafdcbdf6ef14f"},
-    {file = "pandocfilters-1.5.0.tar.gz", hash = "sha256:0b679503337d233b4339a817bfc8c50064e2eff681314376a47cb582305a7a38"},
+    {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"},
+    {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"},
 ]
 
 [[package]]
@@ -2003,28 +2070,28 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.1.0"
+version = "4.2.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "platformdirs-4.1.0-py3-none-any.whl", hash = "sha256:11c8f37bcca40db96d8144522d925583bdb7a31f7b0e37e3ed4318400a8e2380"},
-    {file = "platformdirs-4.1.0.tar.gz", hash = "sha256:906d548203468492d432bcb294d4bc2fff751bf84971fbb2c10918cc206ee420"},
+    {file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"},
+    {file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
+docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
 
 [[package]]
 name = "pluggy"
-version = "1.3.0"
+version = "1.4.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"},
-    {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"},
+    {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"},
+    {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"},
 ]
 
 [package.extras]
@@ -2054,13 +2121,13 @@ xxhash = ["xxhash (>=1.4.3)"]
 
 [[package]]
 name = "prometheus-client"
-version = "0.19.0"
+version = "0.20.0"
 description = "Python client for the Prometheus monitoring system."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "prometheus_client-0.19.0-py3-none-any.whl", hash = "sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92"},
-    {file = "prometheus_client-0.19.0.tar.gz", hash = "sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1"},
+    {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"},
+    {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"},
 ]
 
 [package.extras]
@@ -2082,27 +2149,27 @@ wcwidth = "*"
 
 [[package]]
 name = "psutil"
-version = "5.9.7"
+version = "5.9.8"
 description = "Cross-platform lib for process and system monitoring in Python."
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 files = [
-    {file = "psutil-5.9.7-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:0bd41bf2d1463dfa535942b2a8f0e958acf6607ac0be52265ab31f7923bcd5e6"},
-    {file = "psutil-5.9.7-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:5794944462509e49d4d458f4dbfb92c47539e7d8d15c796f141f474010084056"},
-    {file = "psutil-5.9.7-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:fe361f743cb3389b8efda21980d93eb55c1f1e3898269bc9a2a1d0bb7b1f6508"},
-    {file = "psutil-5.9.7-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:e469990e28f1ad738f65a42dcfc17adaed9d0f325d55047593cb9033a0ab63df"},
-    {file = "psutil-5.9.7-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:3c4747a3e2ead1589e647e64aad601981f01b68f9398ddf94d01e3dc0d1e57c7"},
-    {file = "psutil-5.9.7-cp27-none-win32.whl", hash = "sha256:1d4bc4a0148fdd7fd8f38e0498639ae128e64538faa507df25a20f8f7fb2341c"},
-    {file = "psutil-5.9.7-cp27-none-win_amd64.whl", hash = "sha256:4c03362e280d06bbbfcd52f29acd79c733e0af33d707c54255d21029b8b32ba6"},
-    {file = "psutil-5.9.7-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ea36cc62e69a13ec52b2f625c27527f6e4479bca2b340b7a452af55b34fcbe2e"},
-    {file = "psutil-5.9.7-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1132704b876e58d277168cd729d64750633d5ff0183acf5b3c986b8466cd0284"},
-    {file = "psutil-5.9.7-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe8b7f07948f1304497ce4f4684881250cd859b16d06a1dc4d7941eeb6233bfe"},
-    {file = "psutil-5.9.7-cp36-cp36m-win32.whl", hash = "sha256:b27f8fdb190c8c03914f908a4555159327d7481dac2f01008d483137ef3311a9"},
-    {file = "psutil-5.9.7-cp36-cp36m-win_amd64.whl", hash = "sha256:44969859757f4d8f2a9bd5b76eba8c3099a2c8cf3992ff62144061e39ba8568e"},
-    {file = "psutil-5.9.7-cp37-abi3-win32.whl", hash = "sha256:c727ca5a9b2dd5193b8644b9f0c883d54f1248310023b5ad3e92036c5e2ada68"},
-    {file = "psutil-5.9.7-cp37-abi3-win_amd64.whl", hash = "sha256:f37f87e4d73b79e6c5e749440c3113b81d1ee7d26f21c19c47371ddea834f414"},
-    {file = "psutil-5.9.7-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:032f4f2c909818c86cea4fe2cc407f1c0f0cde8e6c6d702b28b8ce0c0d143340"},
-    {file = "psutil-5.9.7.tar.gz", hash = "sha256:3f02134e82cfb5d089fddf20bb2e03fd5cd52395321d1c8458a9e58500ff417c"},
+    {file = "psutil-5.9.8-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:26bd09967ae00920df88e0352a91cff1a78f8d69b3ecabbfe733610c0af486c8"},
+    {file = "psutil-5.9.8-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:05806de88103b25903dff19bb6692bd2e714ccf9e668d050d144012055cbca73"},
+    {file = "psutil-5.9.8-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:611052c4bc70432ec770d5d54f64206aa7203a101ec273a0cd82418c86503bb7"},
+    {file = "psutil-5.9.8-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:50187900d73c1381ba1454cf40308c2bf6f34268518b3f36a9b663ca87e65e36"},
+    {file = "psutil-5.9.8-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:02615ed8c5ea222323408ceba16c60e99c3f91639b07da6373fb7e6539abc56d"},
+    {file = "psutil-5.9.8-cp27-none-win32.whl", hash = "sha256:36f435891adb138ed3c9e58c6af3e2e6ca9ac2f365efe1f9cfef2794e6c93b4e"},
+    {file = "psutil-5.9.8-cp27-none-win_amd64.whl", hash = "sha256:bd1184ceb3f87651a67b2708d4c3338e9b10c5df903f2e3776b62303b26cb631"},
+    {file = "psutil-5.9.8-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:aee678c8720623dc456fa20659af736241f575d79429a0e5e9cf88ae0605cc81"},
+    {file = "psutil-5.9.8-cp36-abi3-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8cb6403ce6d8e047495a701dc7c5bd788add903f8986d523e3e20b98b733e421"},
+    {file = "psutil-5.9.8-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d06016f7f8625a1825ba3732081d77c94589dca78b7a3fc072194851e88461a4"},
+    {file = "psutil-5.9.8-cp36-cp36m-win32.whl", hash = "sha256:7d79560ad97af658a0f6adfef8b834b53f64746d45b403f225b85c5c2c140eee"},
+    {file = "psutil-5.9.8-cp36-cp36m-win_amd64.whl", hash = "sha256:27cc40c3493bb10de1be4b3f07cae4c010ce715290a5be22b98493509c6299e2"},
+    {file = "psutil-5.9.8-cp37-abi3-win32.whl", hash = "sha256:bc56c2a1b0d15aa3eaa5a60c9f3f8e3e565303b465dbf57a1b730e7a2b9844e0"},
+    {file = "psutil-5.9.8-cp37-abi3-win_amd64.whl", hash = "sha256:8db4c1b57507eef143a15a6884ca10f7c73876cdf5d51e713151c1236a0e68cf"},
+    {file = "psutil-5.9.8-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:d16bbddf0693323b8c6123dd804100241da461e41d6e332fb0ba6058f630f8c8"},
+    {file = "psutil-5.9.8.tar.gz", hash = "sha256:6be126e3225486dff286a8fb9a06246a5253f4c7c53b475ea5f5ac934e64194c"},
 ]
 
 [package.extras]
@@ -2192,15 +2259,15 @@ PyQt6-sip = ">=13.6,<14"
 
 [[package]]
 name = "pyqt6-qt6"
-version = "6.6.1"
+version = "6.6.2"
 description = "The subset of a Qt installation needed by PyQt6."
 optional = false
 python-versions = "*"
 files = [
-    {file = "PyQt6_Qt6-6.6.1-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:0409aa09b8dae90d5f00ba2d9761e671dfbc54ab169cff8f4cdfecd7f664fd0f"},
-    {file = "PyQt6_Qt6-6.6.1-py3-none-macosx_11_0_arm64.whl", hash = "sha256:8dcac0bd9df13d63deafb6a61969b832c34467da4a28d2b7abf78066bfce22e6"},
-    {file = "PyQt6_Qt6-6.6.1-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:e7df8851c93886412d890d0ecc62b39f42521861ee7a80982136d65903e1f2c5"},
-    {file = "PyQt6_Qt6-6.6.1-py3-none-win_amd64.whl", hash = "sha256:41f1ed3eadc00540c205a0e897ae0e0fffc21b896e575214f7c5b9c86d2037d1"},
+    {file = "PyQt6_Qt6-6.6.2-py3-none-macosx_10_14_x86_64.whl", hash = "sha256:7ef446d3ffc678a8586ff6dc9f0d27caf4dff05dea02c353540d2f614386faf9"},
+    {file = "PyQt6_Qt6-6.6.2-py3-none-macosx_11_0_arm64.whl", hash = "sha256:b8363d88623342a72ac17da9127dc12f259bb3148796ea029762aa2d499778d9"},
+    {file = "PyQt6_Qt6-6.6.2-py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:8d7f674a4ec43ca00191e14945ca4129acbe37a2172ed9d08214ad58b170bc11"},
+    {file = "PyQt6_Qt6-6.6.2-py3-none-win_amd64.whl", hash = "sha256:5a41fe9d53b9e29e9ec5c23f3c5949dba160f90ca313ee8b96b8ffe6a5059387"},
 ]
 
 [[package]]
@@ -2280,24 +2347,24 @@ files = [
 
 [[package]]
 name = "pytz"
-version = "2023.3.post1"
+version = "2024.1"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
 files = [
-    {file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"},
-    {file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
+    {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
+    {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
 ]
 
 [[package]]
 name = "pyvista"
-version = "0.43.1"
+version = "0.43.3"
 description = "Easier Pythonic interface to VTK"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pyvista-0.43.1-py3-none-any.whl", hash = "sha256:e7e7597c3938ad7e695a1de724ba4d5fcb05cdfa4ac81bb9bee7e75659c25f8a"},
-    {file = "pyvista-0.43.1.tar.gz", hash = "sha256:dd2c484d85da2c677a4fd01e801cd8f49a311be602088b0e43cfe9746db0c552"},
+    {file = "pyvista-0.43.3-py3-none-any.whl", hash = "sha256:5eb589bbea294761cd44aed0330481019e8eca2ddb950a1f332a5a132000e93d"},
+    {file = "pyvista-0.43.3.tar.gz", hash = "sha256:e039cdeb0c7cbb42a16fbdfbbede65a7dc656def787e76c79a43eb0badc88c9b"},
 ]
 
 [package.dependencies]
@@ -2576,13 +2643,13 @@ test = ["pytest (>=6,!=7.0.0,!=7.0.1)", "pytest-cov (>=3.0.0)", "pytest-qt"]
 
 [[package]]
 name = "referencing"
-version = "0.32.1"
+version = "0.33.0"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "referencing-0.32.1-py3-none-any.whl", hash = "sha256:7e4dc12271d8e15612bfe35792f5ea1c40970dadf8624602e33db2758f7ee554"},
-    {file = "referencing-0.32.1.tar.gz", hash = "sha256:3c57da0513e9563eb7e203ebe9bb3a1b509b042016433bd1e45a2853466c3dd3"},
+    {file = "referencing-0.33.0-py3-none-any.whl", hash = "sha256:39240f2ecc770258f28b642dd47fd74bc8b02484de54e1882b74b35ebd779bd5"},
+    {file = "referencing-0.33.0.tar.gz", hash = "sha256:c775fedf74bc0f9189c2a3be1c12fd03e8c23f4d371dce795df44e06c5b412f7"},
 ]
 
 [package.dependencies]
@@ -2637,200 +2704,221 @@ files = [
 
 [[package]]
 name = "rpds-py"
-version = "0.16.2"
+version = "0.18.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "rpds_py-0.16.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:509b617ac787cd1149600e731db9274ebbef094503ca25158e6f23edaba1ca8f"},
-    {file = "rpds_py-0.16.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:413b9c17388bbd0d87a329d8e30c1a4c6e44e2bb25457f43725a8e6fe4161e9e"},
-    {file = "rpds_py-0.16.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2946b120718eba9af2b4dd103affc1164a87b9e9ebff8c3e4c05d7b7a7e274e2"},
-    {file = "rpds_py-0.16.2-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:35ae5ece284cf36464eb160880018cf6088a9ac5ddc72292a6092b6ef3f4da53"},
-    {file = "rpds_py-0.16.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3dc6a7620ba7639a3db6213da61312cb4aa9ac0ca6e00dc1cbbdc21c2aa6eb57"},
-    {file = "rpds_py-0.16.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8cb6fe8ecdfffa0e711a75c931fb39f4ba382b4b3ccedeca43f18693864fe850"},
-    {file = "rpds_py-0.16.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6dace7b26a13353e24613417ce2239491b40a6ad44e5776a18eaff7733488b44"},
-    {file = "rpds_py-0.16.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1bdbc5fcb04a7309074de6b67fa9bc4b418ab3fc435fec1f2779a0eced688d04"},
-    {file = "rpds_py-0.16.2-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:f42e25c016927e2a6b1ce748112c3ab134261fc2ddc867e92d02006103e1b1b7"},
-    {file = "rpds_py-0.16.2-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:eab36eae3f3e8e24b05748ec9acc66286662f5d25c52ad70cadab544e034536b"},
-    {file = "rpds_py-0.16.2-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:0474df4ade9a3b4af96c3d36eb81856cb9462e4c6657d4caecfd840d2a13f3c9"},
-    {file = "rpds_py-0.16.2-cp310-none-win32.whl", hash = "sha256:84c5a4d1f9dd7e2d2c44097fb09fffe728629bad31eb56caf97719e55575aa82"},
-    {file = "rpds_py-0.16.2-cp310-none-win_amd64.whl", hash = "sha256:2bd82db36cd70b3628c0c57d81d2438e8dd4b7b32a6a9f25f24ab0e657cb6c4e"},
-    {file = "rpds_py-0.16.2-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:adc0c3d6fc6ae35fee3e4917628983f6ce630d513cbaad575b4517d47e81b4bb"},
-    {file = "rpds_py-0.16.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ec23fcad480e77ede06cf4127a25fc440f7489922e17fc058f426b5256ee0edb"},
-    {file = "rpds_py-0.16.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:07aab64e2808c3ebac2a44f67e9dc0543812b715126dfd6fe4264df527556cb6"},
-    {file = "rpds_py-0.16.2-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:a4ebb8b20bd09c5ce7884c8f0388801100f5e75e7f733b1b6613c713371feefc"},
-    {file = "rpds_py-0.16.2-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a3d7e2ea25d3517c6d7e5a1cc3702cffa6bd18d9ef8d08d9af6717fc1c700eed"},
-    {file = "rpds_py-0.16.2-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f28ac0e8e7242d140f99402a903a2c596ab71550272ae9247ad78f9a932b5698"},
-    {file = "rpds_py-0.16.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19f00f57fdd38db4bb5ad09f9ead1b535332dbf624200e9029a45f1f35527ebb"},
-    {file = "rpds_py-0.16.2-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:3da5a4c56953bdbf6d04447c3410309616c54433146ccdb4a277b9cb499bc10e"},
-    {file = "rpds_py-0.16.2-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:ec2e1cf025b2c0f48ec17ff3e642661da7ee332d326f2e6619366ce8e221f018"},
-    {file = "rpds_py-0.16.2-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:e0441fb4fdd39a230477b2ca9be90868af64425bfe7b122b57e61e45737a653b"},
-    {file = "rpds_py-0.16.2-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9f0350ef2fba5f34eb0c9000ea328e51b9572b403d2f7f3b19f24085f6f598e8"},
-    {file = "rpds_py-0.16.2-cp311-none-win32.whl", hash = "sha256:5a80e2f83391ad0808b4646732af2a7b67550b98f0cae056cb3b40622a83dbb3"},
-    {file = "rpds_py-0.16.2-cp311-none-win_amd64.whl", hash = "sha256:e04e56b4ca7a770593633556e8e9e46579d66ec2ada846b401252a2bdcf70a6d"},
-    {file = "rpds_py-0.16.2-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:5e6caa3809e50690bd92fa490f5c38caa86082c8c3315aa438bce43786d5e90d"},
-    {file = "rpds_py-0.16.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2e53b9b25cac9065328901713a7e9e3b12e4f57ef4280b370fbbf6fef2052eef"},
-    {file = "rpds_py-0.16.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:af27423662f32d7501a00c5e7342f7dbd1e4a718aea7a239781357d15d437133"},
-    {file = "rpds_py-0.16.2-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:43d4dd5fb16eb3825742bad8339d454054261ab59fed2fbac84e1d84d5aae7ba"},
-    {file = "rpds_py-0.16.2-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e061de3b745fe611e23cd7318aec2c8b0e4153939c25c9202a5811ca911fd733"},
-    {file = "rpds_py-0.16.2-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3b811d182ad17ea294f2ec63c0621e7be92a1141e1012383461872cead87468f"},
-    {file = "rpds_py-0.16.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5552f328eaef1a75ff129d4d0c437bf44e43f9436d3996e8eab623ea0f5fcf73"},
-    {file = "rpds_py-0.16.2-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:dcbe1f8dd179e4d69b70b1f1d9bb6fd1e7e1bdc9c9aad345cdeb332e29d40748"},
-    {file = "rpds_py-0.16.2-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8aad80645a011abae487d356e0ceb359f4938dfb6f7bcc410027ed7ae4f7bb8b"},
-    {file = "rpds_py-0.16.2-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:b6f5549d6ed1da9bfe3631ca9483ae906f21410be2445b73443fa9f017601c6f"},
-    {file = "rpds_py-0.16.2-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:d452817e0d9c749c431a1121d56a777bd7099b720b3d1c820f1725cb40928f58"},
-    {file = "rpds_py-0.16.2-cp312-none-win32.whl", hash = "sha256:888a97002e986eca10d8546e3c8b97da1d47ad8b69726dcfeb3e56348ebb28a3"},
-    {file = "rpds_py-0.16.2-cp312-none-win_amd64.whl", hash = "sha256:d8dda2a806dfa4a9b795950c4f5cc56d6d6159f7d68080aedaff3bdc9b5032f5"},
-    {file = "rpds_py-0.16.2-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:071980663c273bf3d388fe5c794c547e6f35ba3335477072c713a3176bf14a60"},
-    {file = "rpds_py-0.16.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:726ac36e8a3bb8daef2fd482534cabc5e17334052447008405daca7ca04a3108"},
-    {file = "rpds_py-0.16.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e9e557db6a177470316c82f023e5d571811c9a4422b5ea084c85da9aa3c035fc"},
-    {file = "rpds_py-0.16.2-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:90123853fc8b1747f80b0d354be3d122b4365a93e50fc3aacc9fb4c2488845d6"},
-    {file = "rpds_py-0.16.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a61f659665a39a4d17d699ab3593d7116d66e1e2e3f03ef3fb8f484e91908808"},
-    {file = "rpds_py-0.16.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:cc97f0640e91d7776530f06e6836c546c1c752a52de158720c4224c9e8053cad"},
-    {file = "rpds_py-0.16.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:44a54e99a2b9693a37ebf245937fd6e9228b4cbd64b9cc961e1f3391ec6c7391"},
-    {file = "rpds_py-0.16.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:bd4b677d929cf1f6bac07ad76e0f2d5de367e6373351c01a9c0a39f6b21b4a8b"},
-    {file = "rpds_py-0.16.2-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:5ef00873303d678aaf8b0627e111fd434925ca01c657dbb2641410f1cdaef261"},
-    {file = "rpds_py-0.16.2-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:349cb40897fd529ca15317c22c0eab67f5ac5178b5bd2c6adc86172045210acc"},
-    {file = "rpds_py-0.16.2-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:2ddef620e70eaffebed5932ce754d539c0930f676aae6212f8e16cd9743dd365"},
-    {file = "rpds_py-0.16.2-cp38-none-win32.whl", hash = "sha256:882ce6e25e585949c3d9f9abd29202367175e0aab3aba0c58c9abbb37d4982ff"},
-    {file = "rpds_py-0.16.2-cp38-none-win_amd64.whl", hash = "sha256:f4bd4578e44f26997e9e56c96dedc5f1af43cc9d16c4daa29c771a00b2a26851"},
-    {file = "rpds_py-0.16.2-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:69ac7ea9897ec201ce68b48582f3eb34a3f9924488a5432a93f177bf76a82a7e"},
-    {file = "rpds_py-0.16.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a9880b4656efe36ccad41edc66789e191e5ee19a1ea8811e0aed6f69851a82f4"},
-    {file = "rpds_py-0.16.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ee94cb58c0ba2c62ee108c2b7c9131b2c66a29e82746e8fa3aa1a1effbd3dcf1"},
-    {file = "rpds_py-0.16.2-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:24f7a2eb3866a9e91f4599851e0c8d39878a470044875c49bd528d2b9b88361c"},
-    {file = "rpds_py-0.16.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ca57468da2d9a660bcf8961637c85f2fbb2aa64d9bc3f9484e30c3f9f67b1dd7"},
-    {file = "rpds_py-0.16.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ccd4e400309e1f34a5095bf9249d371f0fd60f8a3a5c4a791cad7b99ce1fd38d"},
-    {file = "rpds_py-0.16.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:80443fe2f7b3ea3934c5d75fb0e04a5dbb4a8e943e5ff2de0dec059202b70a8b"},
-    {file = "rpds_py-0.16.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4d6a9f052e72d493efd92a77f861e45bab2f6be63e37fa8ecf0c6fd1a58fedb0"},
-    {file = "rpds_py-0.16.2-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:35953f4f2b3216421af86fd236b7c0c65935936a94ea83ddbd4904ba60757773"},
-    {file = "rpds_py-0.16.2-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:981d135c7cdaf6cd8eadae1c950de43b976de8f09d8e800feed307140d3d6d00"},
-    {file = "rpds_py-0.16.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:d0dd7ed2f16df2e129496e7fbe59a34bc2d7fc8db443a606644d069eb69cbd45"},
-    {file = "rpds_py-0.16.2-cp39-none-win32.whl", hash = "sha256:703d95c75a72e902544fda08e965885525e297578317989fd15a6ce58414b41d"},
-    {file = "rpds_py-0.16.2-cp39-none-win_amd64.whl", hash = "sha256:e93ec1b300acf89730cf27975ef574396bc04edecc358e9bd116fb387a123239"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:44627b6ca7308680a70766454db5249105fa6344853af6762eaad4158a2feebe"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:3f91df8e6dbb7360e176d1affd5fb0246d2b88d16aa5ebc7db94fd66b68b61da"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d904c5693e08bad240f16d79305edba78276be87061c872a4a15e2c301fa2c0"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:290a81cfbe4673285cdf140ec5cd1658ffbf63ab359f2b352ebe172e7cfa5bf0"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b634c5ec0103c5cbebc24ebac4872b045cccb9456fc59efdcf6fe39775365bd2"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a297a4d08cc67c7466c873c78039d87840fb50d05473db0ec1b7b03d179bf322"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b2e75e17bd0bb66ee34a707da677e47c14ee51ccef78ed6a263a4cc965a072a1"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f1b9d9260e06ea017feb7172976ab261e011c1dc2f8883c7c274f6b2aabfe01a"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:162d7cd9cd311c1b0ff1c55a024b8f38bd8aad1876b648821da08adc40e95734"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:9b32f742ce5b57201305f19c2ef7a184b52f6f9ba6871cc042c2a61f0d6b49b8"},
-    {file = "rpds_py-0.16.2-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ac08472f41ea77cd6a5dae36ae7d4ed3951d6602833af87532b556c1b4601d63"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:495a14b72bbe217f2695dcd9b5ab14d4f8066a00f5d209ed94f0aca307f85f6e"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:8d6b6937ae9eac6d6c0ca3c42774d89fa311f55adff3970fb364b34abde6ed3d"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6a61226465bda9283686db8f17d02569a98e4b13c637be5a26d44aa1f1e361c2"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5cf6af100ffb5c195beec11ffaa8cf8523057f123afa2944e6571d54da84cdc9"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6df15846ee3fb2e6397fe25d7ca6624af9f89587f3f259d177b556fed6bebe2c"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1be2f033df1b8be8c3167ba3c29d5dca425592ee31e35eac52050623afba5772"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:96f957d6ab25a78b9e7fc9749d754b98eac825a112b4e666525ce89afcbd9ed5"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:088396c7c70e59872f67462fcac3ecbded5233385797021976a09ebd55961dfe"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:4c46ad6356e1561f2a54f08367d1d2e70a0a1bb2db2282d2c1972c1d38eafc3b"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-musllinux_1_2_i686.whl", hash = "sha256:47713dc4fce213f5c74ca8a1f6a59b622fc1b90868deb8e8e4d993e421b4b39d"},
-    {file = "rpds_py-0.16.2-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:f811771019f063bbd0aa7bb72c8a934bc13ebacb4672d712fc1639cfd314cccc"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f19afcfc0dd0dca35694df441e9b0f95bc231b512f51bded3c3d8ca32153ec19"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:a4b682c5775d6a3d21e314c10124599976809455ee67020e8e72df1769b87bc3"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c647ca87fc0ebe808a41de912e9a1bfef9acb85257e5d63691364ac16b81c1f0"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:302bd4983bbd47063e452c38be66153760112f6d3635c7eeefc094299fa400a9"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bf721ede3eb7b829e4a9b8142bd55db0bdc82902720548a703f7e601ee13bdc3"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:358dafc89ce3894c7f486c615ba914609f38277ef67f566abc4c854d23b997fa"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cad0f59ee3dc35526039f4bc23642d52d5f6616b5f687d846bfc6d0d6d486db0"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:cffa76b385dfe1e38527662a302b19ffb0e7f5cf7dd5e89186d2c94a22dd9d0c"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:83640a5d7cd3bff694747d50436b8b541b5b9b9782b0c8c1688931d6ee1a1f2d"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:ed99b4f7179d2111702020fd7d156e88acd533f5a7d3971353e568b6051d5c97"},
-    {file = "rpds_py-0.16.2-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:4022b9dc620e14f30201a8a73898a873c8e910cb642bcd2f3411123bc527f6ac"},
-    {file = "rpds_py-0.16.2.tar.gz", hash = "sha256:781ef8bfc091b19960fc0142a23aedadafa826bc32b433fdfe6fd7f964d7ef44"},
+    {file = "rpds_py-0.18.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:5b4e7d8d6c9b2e8ee2d55c90b59c707ca59bc30058269b3db7b1f8df5763557e"},
+    {file = "rpds_py-0.18.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c463ed05f9dfb9baebef68048aed8dcdc94411e4bf3d33a39ba97e271624f8f7"},
+    {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:01e36a39af54a30f28b73096dd39b6802eddd04c90dbe161c1b8dbe22353189f"},
+    {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d62dec4976954a23d7f91f2f4530852b0c7608116c257833922a896101336c51"},
+    {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dd18772815d5f008fa03d2b9a681ae38d5ae9f0e599f7dda233c439fcaa00d40"},
+    {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:923d39efa3cfb7279a0327e337a7958bff00cc447fd07a25cddb0a1cc9a6d2da"},
+    {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:39514da80f971362f9267c600b6d459bfbbc549cffc2cef8e47474fddc9b45b1"},
+    {file = "rpds_py-0.18.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a34d557a42aa28bd5c48a023c570219ba2593bcbbb8dc1b98d8cf5d529ab1434"},
+    {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:93df1de2f7f7239dc9cc5a4a12408ee1598725036bd2dedadc14d94525192fc3"},
+    {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:34b18ba135c687f4dac449aa5157d36e2cbb7c03cbea4ddbd88604e076aa836e"},
+    {file = "rpds_py-0.18.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:c0b5dcf9193625afd8ecc92312d6ed78781c46ecbf39af9ad4681fc9f464af88"},
+    {file = "rpds_py-0.18.0-cp310-none-win32.whl", hash = "sha256:c4325ff0442a12113a6379af66978c3fe562f846763287ef66bdc1d57925d337"},
+    {file = "rpds_py-0.18.0-cp310-none-win_amd64.whl", hash = "sha256:7223a2a5fe0d217e60a60cdae28d6949140dde9c3bcc714063c5b463065e3d66"},
+    {file = "rpds_py-0.18.0-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:3a96e0c6a41dcdba3a0a581bbf6c44bb863f27c541547fb4b9711fd8cf0ffad4"},
+    {file = "rpds_py-0.18.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:30f43887bbae0d49113cbaab729a112251a940e9b274536613097ab8b4899cf6"},
+    {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fcb25daa9219b4cf3a0ab24b0eb9a5cc8949ed4dc72acb8fa16b7e1681aa3c58"},
+    {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:d68c93e381010662ab873fea609bf6c0f428b6d0bb00f2c6939782e0818d37bf"},
+    {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b34b7aa8b261c1dbf7720b5d6f01f38243e9b9daf7e6b8bc1fd4657000062f2c"},
+    {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2e6d75ab12b0bbab7215e5d40f1e5b738aa539598db27ef83b2ec46747df90e1"},
+    {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0b8612cd233543a3781bc659c731b9d607de65890085098986dfd573fc2befe5"},
+    {file = "rpds_py-0.18.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:aec493917dd45e3c69d00a8874e7cbed844efd935595ef78a0f25f14312e33c6"},
+    {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:661d25cbffaf8cc42e971dd570d87cb29a665f49f4abe1f9e76be9a5182c4688"},
+    {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:1df3659d26f539ac74fb3b0c481cdf9d725386e3552c6fa2974f4d33d78e544b"},
+    {file = "rpds_py-0.18.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a1ce3ba137ed54f83e56fb983a5859a27d43a40188ba798993812fed73c70836"},
+    {file = "rpds_py-0.18.0-cp311-none-win32.whl", hash = "sha256:69e64831e22a6b377772e7fb337533c365085b31619005802a79242fee620bc1"},
+    {file = "rpds_py-0.18.0-cp311-none-win_amd64.whl", hash = "sha256:998e33ad22dc7ec7e030b3df701c43630b5bc0d8fbc2267653577e3fec279afa"},
+    {file = "rpds_py-0.18.0-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:7f2facbd386dd60cbbf1a794181e6aa0bd429bd78bfdf775436020172e2a23f0"},
+    {file = "rpds_py-0.18.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1d9a5be316c15ffb2b3c405c4ff14448c36b4435be062a7f578ccd8b01f0c4d8"},
+    {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cd5bf1af8efe569654bbef5a3e0a56eca45f87cfcffab31dd8dde70da5982475"},
+    {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5417558f6887e9b6b65b4527232553c139b57ec42c64570569b155262ac0754f"},
+    {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:56a737287efecafc16f6d067c2ea0117abadcd078d58721f967952db329a3e5c"},
+    {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8f03bccbd8586e9dd37219bce4d4e0d3ab492e6b3b533e973fa08a112cb2ffc9"},
+    {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4457a94da0d5c53dc4b3e4de1158bdab077db23c53232f37a3cb7afdb053a4e3"},
+    {file = "rpds_py-0.18.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0ab39c1ba9023914297dd88ec3b3b3c3f33671baeb6acf82ad7ce883f6e8e157"},
+    {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:9d54553c1136b50fd12cc17e5b11ad07374c316df307e4cfd6441bea5fb68496"},
+    {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:0af039631b6de0397ab2ba16eaf2872e9f8fca391b44d3d8cac317860a700a3f"},
+    {file = "rpds_py-0.18.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:84ffab12db93b5f6bad84c712c92060a2d321b35c3c9960b43d08d0f639d60d7"},
+    {file = "rpds_py-0.18.0-cp312-none-win32.whl", hash = "sha256:685537e07897f173abcf67258bee3c05c374fa6fff89d4c7e42fb391b0605e98"},
+    {file = "rpds_py-0.18.0-cp312-none-win_amd64.whl", hash = "sha256:e003b002ec72c8d5a3e3da2989c7d6065b47d9eaa70cd8808b5384fbb970f4ec"},
+    {file = "rpds_py-0.18.0-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:08f9ad53c3f31dfb4baa00da22f1e862900f45908383c062c27628754af2e88e"},
+    {file = "rpds_py-0.18.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:c0013fe6b46aa496a6749c77e00a3eb07952832ad6166bd481c74bda0dcb6d58"},
+    {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e32a92116d4f2a80b629778280103d2a510a5b3f6314ceccd6e38006b5e92dcb"},
+    {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e541ec6f2ec456934fd279a3120f856cd0aedd209fc3852eca563f81738f6861"},
+    {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bed88b9a458e354014d662d47e7a5baafd7ff81c780fd91584a10d6ec842cb73"},
+    {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2644e47de560eb7bd55c20fc59f6daa04682655c58d08185a9b95c1970fa1e07"},
+    {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e8916ae4c720529e18afa0b879473049e95949bf97042e938530e072fde061d"},
+    {file = "rpds_py-0.18.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:465a3eb5659338cf2a9243e50ad9b2296fa15061736d6e26240e713522b6235c"},
+    {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_aarch64.whl", hash = "sha256:ea7d4a99f3b38c37eac212dbd6ec42b7a5ec51e2c74b5d3223e43c811609e65f"},
+    {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_i686.whl", hash = "sha256:67071a6171e92b6da534b8ae326505f7c18022c6f19072a81dcf40db2638767c"},
+    {file = "rpds_py-0.18.0-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:41ef53e7c58aa4ef281da975f62c258950f54b76ec8e45941e93a3d1d8580594"},
+    {file = "rpds_py-0.18.0-cp38-none-win32.whl", hash = "sha256:fdea4952db2793c4ad0bdccd27c1d8fdd1423a92f04598bc39425bcc2b8ee46e"},
+    {file = "rpds_py-0.18.0-cp38-none-win_amd64.whl", hash = "sha256:7cd863afe7336c62ec78d7d1349a2f34c007a3cc6c2369d667c65aeec412a5b1"},
+    {file = "rpds_py-0.18.0-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:5307def11a35f5ae4581a0b658b0af8178c65c530e94893345bebf41cc139d33"},
+    {file = "rpds_py-0.18.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:77f195baa60a54ef9d2de16fbbfd3ff8b04edc0c0140a761b56c267ac11aa467"},
+    {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:39f5441553f1c2aed4de4377178ad8ff8f9d733723d6c66d983d75341de265ab"},
+    {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9a00312dea9310d4cb7dbd7787e722d2e86a95c2db92fbd7d0155f97127bcb40"},
+    {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8f2fc11e8fe034ee3c34d316d0ad8808f45bc3b9ce5857ff29d513f3ff2923a1"},
+    {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:586f8204935b9ec884500498ccc91aa869fc652c40c093bd9e1471fbcc25c022"},
+    {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ddc2f4dfd396c7bfa18e6ce371cba60e4cf9d2e5cdb71376aa2da264605b60b9"},
+    {file = "rpds_py-0.18.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5ddcba87675b6d509139d1b521e0c8250e967e63b5909a7e8f8944d0f90ff36f"},
+    {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:7bd339195d84439cbe5771546fe8a4e8a7a045417d8f9de9a368c434e42a721e"},
+    {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:d7c36232a90d4755b720fbd76739d8891732b18cf240a9c645d75f00639a9024"},
+    {file = "rpds_py-0.18.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:6b0817e34942b2ca527b0e9298373e7cc75f429e8da2055607f4931fded23e20"},
+    {file = "rpds_py-0.18.0-cp39-none-win32.whl", hash = "sha256:99f70b740dc04d09e6b2699b675874367885217a2e9f782bdf5395632ac663b7"},
+    {file = "rpds_py-0.18.0-cp39-none-win_amd64.whl", hash = "sha256:6ef687afab047554a2d366e112dd187b62d261d49eb79b77e386f94644363294"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:ad36cfb355e24f1bd37cac88c112cd7730873f20fb0bdaf8ba59eedf8216079f"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:36b3ee798c58ace201289024b52788161e1ea133e4ac93fba7d49da5fec0ef9e"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8a2f084546cc59ea99fda8e070be2fd140c3092dc11524a71aa8f0f3d5a55ca"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e4461d0f003a0aa9be2bdd1b798a041f177189c1a0f7619fe8c95ad08d9a45d7"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8db715ebe3bb7d86d77ac1826f7d67ec11a70dbd2376b7cc214199360517b641"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:793968759cd0d96cac1e367afd70c235867831983f876a53389ad869b043c948"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:66e6a3af5a75363d2c9a48b07cb27c4ea542938b1a2e93b15a503cdfa8490795"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6ef0befbb5d79cf32d0266f5cff01545602344eda89480e1dd88aca964260b18"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:1d4acf42190d449d5e89654d5c1ed3a4f17925eec71f05e2a41414689cda02d1"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_i686.whl", hash = "sha256:a5f446dd5055667aabaee78487f2b5ab72e244f9bc0b2ffebfeec79051679984"},
+    {file = "rpds_py-0.18.0-pp310-pypy310_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:9dbbeb27f4e70bfd9eec1be5477517365afe05a9b2c441a0b21929ee61048124"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-macosx_10_12_x86_64.whl", hash = "sha256:22806714311a69fd0af9b35b7be97c18a0fc2826e6827dbb3a8c94eac6cf7eeb"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:b34ae4636dfc4e76a438ab826a0d1eed2589ca7d9a1b2d5bb546978ac6485461"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c8370641f1a7f0e0669ddccca22f1da893cef7628396431eb445d46d893e5cd"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c8362467a0fdeccd47935f22c256bec5e6abe543bf0d66e3d3d57a8fb5731863"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:11a8c85ef4a07a7638180bf04fe189d12757c696eb41f310d2426895356dcf05"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b316144e85316da2723f9d8dc75bada12fa58489a527091fa1d5a612643d1a0e"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cf1ea2e34868f6fbf070e1af291c8180480310173de0b0c43fc38a02929fc0e3"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e546e768d08ad55b20b11dbb78a745151acbd938f8f00d0cfbabe8b0199b9880"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:4901165d170a5fde6f589acb90a6b33629ad1ec976d4529e769c6f3d885e3e80"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_i686.whl", hash = "sha256:618a3d6cae6ef8ec88bb76dd80b83cfe415ad4f1d942ca2a903bf6b6ff97a2da"},
+    {file = "rpds_py-0.18.0-pp38-pypy38_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:ed4eb745efbff0a8e9587d22a84be94a5eb7d2d99c02dacf7bd0911713ed14dd"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:6c81e5f372cd0dc5dc4809553d34f832f60a46034a5f187756d9b90586c2c307"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:43fbac5f22e25bee1d482c97474f930a353542855f05c1161fd804c9dc74a09d"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6d7faa6f14017c0b1e69f5e2c357b998731ea75a442ab3841c0dbbbfe902d2c4"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:08231ac30a842bd04daabc4d71fddd7e6d26189406d5a69535638e4dcb88fe76"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:044a3e61a7c2dafacae99d1e722cc2d4c05280790ec5a05031b3876809d89a5c"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3f26b5bd1079acdb0c7a5645e350fe54d16b17bfc5e71f371c449383d3342e17"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:482103aed1dfe2f3b71a58eff35ba105289b8d862551ea576bd15479aba01f66"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1374f4129f9bcca53a1bba0bb86bf78325a0374577cf7e9e4cd046b1e6f20e24"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:635dc434ff724b178cb192c70016cc0ad25a275228f749ee0daf0eddbc8183b1"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_i686.whl", hash = "sha256:bc362ee4e314870a70f4ae88772d72d877246537d9f8cb8f7eacf10884862432"},
+    {file = "rpds_py-0.18.0-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:4832d7d380477521a8c1644bbab6588dfedea5e30a7d967b5fb75977c45fd77f"},
+    {file = "rpds_py-0.18.0.tar.gz", hash = "sha256:42821446ee7a76f5d9f71f9e33a4fb2ffd724bb3e7f93386150b61a43115788d"},
+]
+
+[[package]]
+name = "ruff"
+version = "0.2.2"
+description = "An extremely fast Python linter and code formatter, written in Rust."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "ruff-0.2.2-py3-none-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = "sha256:0a9efb032855ffb3c21f6405751d5e147b0c6b631e3ca3f6b20f917572b97eb6"},
+    {file = "ruff-0.2.2-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:d450b7fbff85913f866a5384d8912710936e2b96da74541c82c1b458472ddb39"},
+    {file = "ruff-0.2.2-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ecd46e3106850a5c26aee114e562c329f9a1fbe9e4821b008c4404f64ff9ce73"},
+    {file = "ruff-0.2.2-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5e22676a5b875bd72acd3d11d5fa9075d3a5f53b877fe7b4793e4673499318ba"},
+    {file = "ruff-0.2.2-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1695700d1e25a99d28f7a1636d85bafcc5030bba9d0578c0781ba1790dbcf51c"},
+    {file = "ruff-0.2.2-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:b0c232af3d0bd8f521806223723456ffebf8e323bd1e4e82b0befb20ba18388e"},
+    {file = "ruff-0.2.2-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f63d96494eeec2fc70d909393bcd76c69f35334cdbd9e20d089fb3f0640216ca"},
+    {file = "ruff-0.2.2-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6a61ea0ff048e06de273b2e45bd72629f470f5da8f71daf09fe481278b175001"},
+    {file = "ruff-0.2.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e1439c8f407e4f356470e54cdecdca1bd5439a0673792dbe34a2b0a551a2fe3"},
+    {file = "ruff-0.2.2-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:940de32dc8853eba0f67f7198b3e79bc6ba95c2edbfdfac2144c8235114d6726"},
+    {file = "ruff-0.2.2-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:0c126da55c38dd917621552ab430213bdb3273bb10ddb67bc4b761989210eb6e"},
+    {file = "ruff-0.2.2-py3-none-musllinux_1_2_i686.whl", hash = "sha256:3b65494f7e4bed2e74110dac1f0d17dc8e1f42faaa784e7c58a98e335ec83d7e"},
+    {file = "ruff-0.2.2-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:1ec49be4fe6ddac0503833f3ed8930528e26d1e60ad35c2446da372d16651ce9"},
+    {file = "ruff-0.2.2-py3-none-win32.whl", hash = "sha256:d920499b576f6c68295bc04e7b17b6544d9d05f196bb3aac4358792ef6f34325"},
+    {file = "ruff-0.2.2-py3-none-win_amd64.whl", hash = "sha256:cc9a91ae137d687f43a44c900e5d95e9617cb37d4c989e462980ba27039d239d"},
+    {file = "ruff-0.2.2-py3-none-win_arm64.whl", hash = "sha256:c9d15fc41e6054bfc7200478720570078f0b41c9ae4f010bcc16bd6f4d1aacdd"},
+    {file = "ruff-0.2.2.tar.gz", hash = "sha256:e62ed7f36b3068a30ba39193a14274cd706bc486fad521276458022f7bccb31d"},
 ]
 
 [[package]]
 name = "scikit-learn"
-version = "1.3.2"
+version = "1.4.1.post1"
 description = "A set of python modules for machine learning and data mining"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "scikit-learn-1.3.2.tar.gz", hash = "sha256:a2f54c76accc15a34bfb9066e6c7a56c1e7235dda5762b990792330b52ccfb05"},
-    {file = "scikit_learn-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e326c0eb5cf4d6ba40f93776a20e9a7a69524c4db0757e7ce24ba222471ee8a1"},
-    {file = "scikit_learn-1.3.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:535805c2a01ccb40ca4ab7d081d771aea67e535153e35a1fd99418fcedd1648a"},
-    {file = "scikit_learn-1.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1215e5e58e9880b554b01187b8c9390bf4dc4692eedeaf542d3273f4785e342c"},
-    {file = "scikit_learn-1.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0ee107923a623b9f517754ea2f69ea3b62fc898a3641766cb7deb2f2ce450161"},
-    {file = "scikit_learn-1.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:35a22e8015048c628ad099da9df5ab3004cdbf81edc75b396fd0cff8699ac58c"},
-    {file = "scikit_learn-1.3.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6fb6bc98f234fda43163ddbe36df8bcde1d13ee176c6dc9b92bb7d3fc842eb66"},
-    {file = "scikit_learn-1.3.2-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:18424efee518a1cde7b0b53a422cde2f6625197de6af36da0b57ec502f126157"},
-    {file = "scikit_learn-1.3.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3271552a5eb16f208a6f7f617b8cc6d1f137b52c8a1ef8edf547db0259b2c9fb"},
-    {file = "scikit_learn-1.3.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fc4144a5004a676d5022b798d9e573b05139e77f271253a4703eed295bde0433"},
-    {file = "scikit_learn-1.3.2-cp311-cp311-win_amd64.whl", hash = "sha256:67f37d708f042a9b8d59551cf94d30431e01374e00dc2645fa186059c6c5d78b"},
-    {file = "scikit_learn-1.3.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:8db94cd8a2e038b37a80a04df8783e09caac77cbe052146432e67800e430c028"},
-    {file = "scikit_learn-1.3.2-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:61a6efd384258789aa89415a410dcdb39a50e19d3d8410bd29be365bcdd512d5"},
-    {file = "scikit_learn-1.3.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb06f8dce3f5ddc5dee1715a9b9f19f20d295bed8e3cd4fa51e1d050347de525"},
-    {file = "scikit_learn-1.3.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5b2de18d86f630d68fe1f87af690d451388bb186480afc719e5f770590c2ef6c"},
-    {file = "scikit_learn-1.3.2-cp312-cp312-win_amd64.whl", hash = "sha256:0402638c9a7c219ee52c94cbebc8fcb5eb9fe9c773717965c1f4185588ad3107"},
-    {file = "scikit_learn-1.3.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a19f90f95ba93c1a7f7924906d0576a84da7f3b2282ac3bfb7a08a32801add93"},
-    {file = "scikit_learn-1.3.2-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:b8692e395a03a60cd927125eef3a8e3424d86dde9b2370d544f0ea35f78a8073"},
-    {file = "scikit_learn-1.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:15e1e94cc23d04d39da797ee34236ce2375ddea158b10bee3c343647d615581d"},
-    {file = "scikit_learn-1.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:785a2213086b7b1abf037aeadbbd6d67159feb3e30263434139c98425e3dcfcf"},
-    {file = "scikit_learn-1.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:64381066f8aa63c2710e6b56edc9f0894cc7bf59bd71b8ce5613a4559b6145e0"},
-    {file = "scikit_learn-1.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6c43290337f7a4b969d207e620658372ba3c1ffb611f8bc2b6f031dc5c6d1d03"},
-    {file = "scikit_learn-1.3.2-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:dc9002fc200bed597d5d34e90c752b74df516d592db162f756cc52836b38fe0e"},
-    {file = "scikit_learn-1.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1d08ada33e955c54355d909b9c06a4789a729977f165b8bae6f225ff0a60ec4a"},
-    {file = "scikit_learn-1.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:763f0ae4b79b0ff9cca0bf3716bcc9915bdacff3cebea15ec79652d1cc4fa5c9"},
-    {file = "scikit_learn-1.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:ed932ea780517b00dae7431e031faae6b49b20eb6950918eb83bd043237950e0"},
-]
-
-[package.dependencies]
-joblib = ">=1.1.1"
-numpy = ">=1.17.3,<2.0"
-scipy = ">=1.5.0"
+    {file = "scikit-learn-1.4.1.post1.tar.gz", hash = "sha256:93d3d496ff1965470f9977d05e5ec3376fb1e63b10e4fda5e39d23c2d8969a30"},
+    {file = "scikit_learn-1.4.1.post1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c540aaf44729ab5cd4bd5e394f2b375e65ceaea9cdd8c195788e70433d91bbc5"},
+    {file = "scikit_learn-1.4.1.post1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4310bff71aa98b45b46cd26fa641309deb73a5d1c0461d181587ad4f30ea3c36"},
+    {file = "scikit_learn-1.4.1.post1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9f43dd527dabff5521af2786a2f8de5ba381e182ec7292663508901cf6ceaf6e"},
+    {file = "scikit_learn-1.4.1.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c02e27d65b0c7dc32f2c5eb601aaf5530b7a02bfbe92438188624524878336f2"},
+    {file = "scikit_learn-1.4.1.post1-cp310-cp310-win_amd64.whl", hash = "sha256:629e09f772ad42f657ca60a1a52342eef786218dd20cf1369a3b8d085e55ef8f"},
+    {file = "scikit_learn-1.4.1.post1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6145dfd9605b0b50ae72cdf72b61a2acd87501369a763b0d73d004710ebb76b5"},
+    {file = "scikit_learn-1.4.1.post1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:1afed6951bc9d2053c6ee9a518a466cbc9b07c6a3f9d43bfe734192b6125d508"},
+    {file = "scikit_learn-1.4.1.post1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce03506ccf5f96b7e9030fea7eb148999b254c44c10182ac55857bc9b5d4815f"},
+    {file = "scikit_learn-1.4.1.post1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4ba516fcdc73d60e7f48cbb0bccb9acbdb21807de3651531208aac73c758e3ab"},
+    {file = "scikit_learn-1.4.1.post1-cp311-cp311-win_amd64.whl", hash = "sha256:78cd27b4669513b50db4f683ef41ea35b5dddc797bd2bbd990d49897fd1c8a46"},
+    {file = "scikit_learn-1.4.1.post1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:a1e289f33f613cefe6707dead50db31930530dc386b6ccff176c786335a7b01c"},
+    {file = "scikit_learn-1.4.1.post1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:0df87de9ce1c0140f2818beef310fb2e2afdc1e66fc9ad587965577f17733649"},
+    {file = "scikit_learn-1.4.1.post1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:712c1c69c45b58ef21635360b3d0a680ff7d83ac95b6f9b82cf9294070cda710"},
+    {file = "scikit_learn-1.4.1.post1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1754b0c2409d6ed5a3380512d0adcf182a01363c669033a2b55cca429ed86a81"},
+    {file = "scikit_learn-1.4.1.post1-cp312-cp312-win_amd64.whl", hash = "sha256:1d491ef66e37f4e812db7e6c8286520c2c3fc61b34bf5e59b67b4ce528de93af"},
+    {file = "scikit_learn-1.4.1.post1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:aa0029b78ef59af22cfbd833e8ace8526e4df90212db7ceccbea582ebb5d6794"},
+    {file = "scikit_learn-1.4.1.post1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:14e4c88436ac96bf69eb6d746ac76a574c314a23c6961b7d344b38877f20fee1"},
+    {file = "scikit_learn-1.4.1.post1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d7cd3a77c32879311f2aa93466d3c288c955ef71d191503cf0677c3340ae8ae0"},
+    {file = "scikit_learn-1.4.1.post1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2a3ee19211ded1a52ee37b0a7b373a8bfc66f95353af058a210b692bd4cda0dd"},
+    {file = "scikit_learn-1.4.1.post1-cp39-cp39-win_amd64.whl", hash = "sha256:234b6bda70fdcae9e4abbbe028582ce99c280458665a155eed0b820599377d25"},
+]
+
+[package.dependencies]
+joblib = ">=1.2.0"
+numpy = ">=1.19.5,<2.0"
+scipy = ">=1.6.0"
 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 (>=5.14.0)", "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)"]
+benchmark = ["matplotlib (>=3.3.4)", "memory-profiler (>=0.57.0)", "pandas (>=1.1.5)"]
+docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.3.4)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)", "sphinx (>=6.0.0)", "sphinx-copybutton (>=0.5.2)", "sphinx-gallery (>=0.15.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
+examples = ["matplotlib (>=3.3.4)", "pandas (>=1.1.5)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.17.2)", "seaborn (>=0.9.0)"]
+tests = ["black (>=23.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.3)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.19.12)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.0.272)", "scikit-image (>=0.17.2)"]
 
 [[package]]
 name = "scipy"
-version = "1.11.4"
+version = "1.12.0"
 description = "Fundamental algorithms for scientific computing in Python"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "scipy-1.11.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc9a714581f561af0848e6b69947fda0614915f072dfd14142ed1bfe1b806710"},
-    {file = "scipy-1.11.4-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:cf00bd2b1b0211888d4dc75656c0412213a8b25e80d73898083f402b50f47e41"},
-    {file = "scipy-1.11.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b9999c008ccf00e8fbcce1236f85ade5c569d13144f77a1946bef8863e8f6eb4"},
-    {file = "scipy-1.11.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:933baf588daa8dc9a92c20a0be32f56d43faf3d1a60ab11b3f08c356430f6e56"},
-    {file = "scipy-1.11.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8fce70f39076a5aa62e92e69a7f62349f9574d8405c0a5de6ed3ef72de07f446"},
-    {file = "scipy-1.11.4-cp310-cp310-win_amd64.whl", hash = "sha256:6550466fbeec7453d7465e74d4f4b19f905642c89a7525571ee91dd7adabb5a3"},
-    {file = "scipy-1.11.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:f313b39a7e94f296025e3cffc2c567618174c0b1dde173960cf23808f9fae4be"},
-    {file = "scipy-1.11.4-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:1b7c3dca977f30a739e0409fb001056484661cb2541a01aba0bb0029f7b68db8"},
-    {file = "scipy-1.11.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:00150c5eae7b610c32589dda259eacc7c4f1665aedf25d921907f4d08a951b1c"},
-    {file = "scipy-1.11.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:530f9ad26440e85766509dbf78edcfe13ffd0ab7fec2560ee5c36ff74d6269ff"},
-    {file = "scipy-1.11.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5e347b14fe01003d3b78e196e84bd3f48ffe4c8a7b8a1afbcb8f5505cb710993"},
-    {file = "scipy-1.11.4-cp311-cp311-win_amd64.whl", hash = "sha256:acf8ed278cc03f5aff035e69cb511741e0418681d25fbbb86ca65429c4f4d9cd"},
-    {file = "scipy-1.11.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:028eccd22e654b3ea01ee63705681ee79933652b2d8f873e7949898dda6d11b6"},
-    {file = "scipy-1.11.4-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:2c6ff6ef9cc27f9b3db93a6f8b38f97387e6e0591600369a297a50a8e96e835d"},
-    {file = "scipy-1.11.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b030c6674b9230d37c5c60ab456e2cf12f6784596d15ce8da9365e70896effc4"},
-    {file = "scipy-1.11.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad669df80528aeca5f557712102538f4f37e503f0c5b9541655016dd0932ca79"},
-    {file = "scipy-1.11.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:ce7fff2e23ab2cc81ff452a9444c215c28e6305f396b2ba88343a567feec9660"},
-    {file = "scipy-1.11.4-cp312-cp312-win_amd64.whl", hash = "sha256:36750b7733d960d7994888f0d148d31ea3017ac15eef664194b4ef68d36a4a97"},
-    {file = "scipy-1.11.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6e619aba2df228a9b34718efb023966da781e89dd3d21637b27f2e54db0410d7"},
-    {file = "scipy-1.11.4-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:f3cd9e7b3c2c1ec26364856f9fbe78695fe631150f94cd1c22228456404cf1ec"},
-    {file = "scipy-1.11.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d10e45a6c50211fe256da61a11c34927c68f277e03138777bdebedd933712fea"},
-    {file = "scipy-1.11.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91af76a68eeae0064887a48e25c4e616fa519fa0d38602eda7e0f97d65d57937"},
-    {file = "scipy-1.11.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6df1468153a31cf55ed5ed39647279beb9cfb5d3f84369453b49e4b8502394fd"},
-    {file = "scipy-1.11.4-cp39-cp39-win_amd64.whl", hash = "sha256:ee410e6de8f88fd5cf6eadd73c135020bfbbbdfcd0f6162c36a7638a1ea8cc65"},
-    {file = "scipy-1.11.4.tar.gz", hash = "sha256:90a2b78e7f5733b9de748f589f09225013685f9b218275257f8a8168ededaeaa"},
-]
-
-[package.dependencies]
-numpy = ">=1.21.6,<1.28.0"
+    {file = "scipy-1.12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:78e4402e140879387187f7f25d91cc592b3501a2e51dfb320f48dfb73565f10b"},
+    {file = "scipy-1.12.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:f5f00ebaf8de24d14b8449981a2842d404152774c1a1d880c901bf454cb8e2a1"},
+    {file = "scipy-1.12.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e53958531a7c695ff66c2e7bb7b79560ffdc562e2051644c5576c39ff8efb563"},
+    {file = "scipy-1.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5e32847e08da8d895ce09d108a494d9eb78974cf6de23063f93306a3e419960c"},
+    {file = "scipy-1.12.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4c1020cad92772bf44b8e4cdabc1df5d87376cb219742549ef69fc9fd86282dd"},
+    {file = "scipy-1.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:75ea2a144096b5e39402e2ff53a36fecfd3b960d786b7efd3c180e29c39e53f2"},
+    {file = "scipy-1.12.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:408c68423f9de16cb9e602528be4ce0d6312b05001f3de61fe9ec8b1263cad08"},
+    {file = "scipy-1.12.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:5adfad5dbf0163397beb4aca679187d24aec085343755fcdbdeb32b3679f254c"},
+    {file = "scipy-1.12.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c3003652496f6e7c387b1cf63f4bb720951cfa18907e998ea551e6de51a04467"},
+    {file = "scipy-1.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b8066bce124ee5531d12a74b617d9ac0ea59245246410e19bca549656d9a40a"},
+    {file = "scipy-1.12.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:8bee4993817e204d761dba10dbab0774ba5a8612e57e81319ea04d84945375ba"},
+    {file = "scipy-1.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:a24024d45ce9a675c1fb8494e8e5244efea1c7a09c60beb1eeb80373d0fecc70"},
+    {file = "scipy-1.12.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:e7e76cc48638228212c747ada851ef355c2bb5e7f939e10952bc504c11f4e372"},
+    {file = "scipy-1.12.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:f7ce148dffcd64ade37b2df9315541f9adad6efcaa86866ee7dd5db0c8f041c3"},
+    {file = "scipy-1.12.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c39f92041f490422924dfdb782527a4abddf4707616e07b021de33467f917bc"},
+    {file = "scipy-1.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a7ebda398f86e56178c2fa94cad15bf457a218a54a35c2a7b4490b9f9cb2676c"},
+    {file = "scipy-1.12.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:95e5c750d55cf518c398a8240571b0e0782c2d5a703250872f36eaf737751338"},
+    {file = "scipy-1.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:e646d8571804a304e1da01040d21577685ce8e2db08ac58e543eaca063453e1c"},
+    {file = "scipy-1.12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:913d6e7956c3a671de3b05ccb66b11bc293f56bfdef040583a7221d9e22a2e35"},
+    {file = "scipy-1.12.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:bba1b0c7256ad75401c73e4b3cf09d1f176e9bd4248f0d3112170fb2ec4db067"},
+    {file = "scipy-1.12.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:730badef9b827b368f351eacae2e82da414e13cf8bd5051b4bdfd720271a5371"},
+    {file = "scipy-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6546dc2c11a9df6926afcbdd8a3edec28566e4e785b915e849348c6dd9f3f490"},
+    {file = "scipy-1.12.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:196ebad3a4882081f62a5bf4aeb7326aa34b110e533aab23e4374fcccb0890dc"},
+    {file = "scipy-1.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:b360f1b6b2f742781299514e99ff560d1fe9bd1bff2712894b52abe528d1fd1e"},
+    {file = "scipy-1.12.0.tar.gz", hash = "sha256:4bf5abab8a36d20193c698b0f1fc282c1d083c94723902c447e5d2f1780936a3"},
+]
+
+[package.dependencies]
+numpy = ">=1.22.4,<1.29.0"
 
 [package.extras]
 dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
 doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
-test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+test = ["asv", "gmpy2", "hypothesis", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
 name = "scooby"
@@ -2980,13 +3068,13 @@ typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"]
 
 [[package]]
 name = "threadpoolctl"
-version = "3.2.0"
+version = "3.3.0"
 description = "threadpoolctl"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "threadpoolctl-3.2.0-py3-none-any.whl", hash = "sha256:2b7818516e423bdaebb97c723f86a7c6b0a83d3f3b0970328d66f4d9104dc032"},
-    {file = "threadpoolctl-3.2.0.tar.gz", hash = "sha256:c96a0ba3bdddeaca37dc4cc7344aafad41cdb8c313f74fdfe387a867bba93355"},
+    {file = "threadpoolctl-3.3.0-py3-none-any.whl", hash = "sha256:6155be1f4a39f31a18ea70f94a77e0ccd57dced08122ea61109e7da89883781e"},
+    {file = "threadpoolctl-3.3.0.tar.gz", hash = "sha256:5dac632b4fa2d43f42130267929af3ba01399ef4bd1882918e92dbc30365d30c"},
 ]
 
 [[package]]
@@ -3029,13 +3117,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.1"
+version = "4.66.2"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "tqdm-4.66.1-py3-none-any.whl", hash = "sha256:d302b3c5b53d47bce91fea46679d9c3c6508cf6332229aa1e7d8653723793386"},
-    {file = "tqdm-4.66.1.tar.gz", hash = "sha256:d88e651f9db8d8551a62556d3cff9e3034274ca5d66e93197cf2490e2dcb69c7"},
+    {file = "tqdm-4.66.2-py3-none-any.whl", hash = "sha256:1ee4f8a893eb9bef51c6e35730cebf234d5d0b6bd112b0271e10ed7c24a02bd9"},
+    {file = "tqdm-4.66.2.tar.gz", hash = "sha256:6cd52cdf0fef0e0f543299cfc96fec90d7b8a7e88745f411ec33eb44d5ed3531"},
 ]
 
 [package.dependencies]
@@ -3075,13 +3163,13 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2023.4"
+version = "2024.1"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
-    {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
 ]
 
 [[package]]
@@ -3100,17 +3188,18 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.1.0"
+version = "2.2.1"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
-    {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
+    {file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
+    {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
 ]
 
 [package.extras]
 brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
@@ -3210,13 +3299,13 @@ test = ["websockets"]
 
 [[package]]
 name = "widgetsnbextension"
-version = "4.0.9"
+version = "4.0.10"
 description = "Jupyter interactive widgets for Jupyter Notebook"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "widgetsnbextension-4.0.9-py3-none-any.whl", hash = "sha256:91452ca8445beb805792f206e560c1769284267a30ceb1cec9f5bcc887d15175"},
-    {file = "widgetsnbextension-4.0.9.tar.gz", hash = "sha256:3c1f5e46dc1166dfd40a42d685e6a51396fd34ff878742a3e47c6f0cc4a2a385"},
+    {file = "widgetsnbextension-4.0.10-py3-none-any.whl", hash = "sha256:d37c3724ec32d8c48400a435ecfa7d3e259995201fbefa37163124a9fcb393cc"},
+    {file = "widgetsnbextension-4.0.10.tar.gz", hash = "sha256:64196c5ff3b9a9183a8e699a4227fb0b7002f252c814098e66c4d1cd0644688f"},
 ]
 
 [[package]]
@@ -3245,4 +3334,4 @@ viz = ["matplotlib", "nc-time-axis", "seaborn"]
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.11"
-content-hash = "a2f7c9a29958f2afa9fe3cef015e8a7f8f70a2d45370e9e25e51c280c8006d07"
+content-hash = "56872d5a1482cefe01ca9f157ca0b2f7cde9a7bbe4957f3edd10da32adce2f85"
diff --git a/pyproject.toml b/pyproject.toml
index 3ca09672..e610d2c3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -11,7 +11,6 @@ packages = [{include = "kymata"}]
 [tool.poetry.dependencies]
 python = "~3.11"
 mne = "^1.5.1"
-#
 colorama = "^0.4.5"
 jupyter = "^1.0.0"
 llvmlite = "^0.41.0"
@@ -33,6 +32,7 @@ h5io = "^0.1.9"
 [tool.poetry.dev-dependencies]
 pytest = "^7.4.2"
 ipdb = "^0.13.13"
+ruff = "^0.2.2"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
diff --git a/tests/test_ippm_denoiser.py b/tests/test_ippm_denoiser.py
index 1446022e..9287e44c 100644
--- a/tests/test_ippm_denoiser.py
+++ b/tests/test_ippm_denoiser.py
@@ -54,7 +54,7 @@ def test_Should_maxPoolerThrowError_When_invalidParams():
     with pytest.raises(ValueError):
         denoiser.MaxPooler(bin_sz='abc')
     with pytest.raises(ValueError):
-        denoiser.MaxPooler(threshold=False)
+        denoiser.MaxPooler(threshold='lmpq')
 
 
 def test_Should_gmmHaveDefaultParams_When_noParams():
@@ -233,7 +233,7 @@ def test_Should_clusterBinsExit_When_emptyBin():
     denoiser_ = denoiser.MaxPooler(threshold=3)  # bin_sz = 25, threshold = 15 by default
     bin_min, lat_min, num_seen, r_idx = denoiser_._cluster_bin(df, r_idx=4, latency=275)
     assert bin_min == float('inf')
-    assert lat_min == None  # 1e-20 is out of latency bin, so it should terminate early
+    assert lat_min is None  # 1e-20 is out of latency bin, so it should terminate early
     assert num_seen == 0
     assert r_idx == 4
 
diff --git a/tests/test_plotting.py b/tests/test_plotting.py
index c97c22e0..1a4f49b8 100644
--- a/tests/test_plotting.py
+++ b/tests/test_plotting.py
@@ -1,5 +1,3 @@
-from numpy import log10
-
 from kymata.plot.plot import _get_best_ylim, _MAJOR_TICK_SIZE, _get_yticks
 
 
diff --git a/tests/test_sparse.py b/tests/test_sparse.py
index 93de213b..0adac018 100644
--- a/tests/test_sparse.py
+++ b/tests/test_sparse.py
@@ -50,12 +50,11 @@ def test_expand_dims_too_big():
     matrix = COO.from_numpy(rand(3, 3, 3))
 
     with pytest.raises(ValueError):
-        expanded_matrix = expand_dims(matrix, -1)
-
+        expand_dims(matrix, -1)
 
 def test_expand_dims_much_too_big():
 
     matrix = COO.from_numpy(rand(3, 4, 5, 6, 7))
 
     with pytest.raises(ValueError):
-        expanded_matrix = expand_dims(matrix, -1)
+        expand_dims(matrix, -1)