From 8961eb566b1c86d98ab9ca407c052da41aa4c954 Mon Sep 17 00:00:00 2001
From: Christoph Gerum <christoph.gerum@uni-tuebingen.de>
Date: Mon, 8 Jan 2024 15:54:05 +0000
Subject: [PATCH] Add extended results logging infrastructure

---
 README.md                                     |   11 +-
 doc/configuration/configuration.md            |    6 +-
 doc/configuration/multi_gpu.md                |   10 +-
 experiments/kvasir_ae/config.yaml             |   21 +-
 hannah/callbacks/prediction_logger.py         |   56 +
 hannah/conf/objectdetection_eval.yaml         |    2 +-
 hannah/conf/trainer/cross_validation.yaml     |    3 +-
 hannah/conf/trainer/default.yaml              |    7 +-
 hannah/models/timm.py                         |   12 +-
 hannah/modules/angle_classifier.py            |    7 -
 hannah/modules/base.py                        |   72 +-
 hannah/modules/vision/base.py                 |   11 +-
 hannah/modules/vision/image_classifier.py     |   38 +-
 .../model_trainer/simple_model_trainer.py     |   42 +-
 hannah/nas/search/search_old.py               |   12 +-
 hannah/tools/eval.py                          |    8 +-
 hannah/tools/objectdetection_eval.py          |   10 +-
 hannah/train.py                               |  142 +-
 hannah/trainer/cross_validation.py            |    1 -
 hannah/utils/__init__.py                      |    6 +-
 hannah/utils/dvclive.py                       |   48 +
 hannah/utils/logger.py                        |  233 +
 hannah/utils/utils.py                         |   43 +-
 poetry.lock                                   | 5134 ++++++++---------
 pyproject.toml                                |    9 +-
 test/test_train.py                            |    6 +-
 26 files changed, 2898 insertions(+), 3052 deletions(-)
 create mode 100644 hannah/callbacks/prediction_logger.py
 create mode 100644 hannah/utils/dvclive.py
 create mode 100644 hannah/utils/logger.py

diff --git a/README.md b/README.md
index d87634f3..129ddbd1 100644
--- a/README.md
+++ b/README.md
@@ -135,10 +135,10 @@ Training is invoked by
 
     hannah-train
 
-If available the first GPU of the system will be used by default. Selecting another GPU is possible using the argument trainer.`gpus=[number]`
+If available the first GPU of the system will be used by default. Selecting another GPU is possible using the argument trainer.`devices=[number]`
 e.g. for GPU 2 use:
 
-    hannah-train trainer.gpus=[2]
+    hannah-train trainer.devices=[2]
 
 Trained models are saved under `trained_models/<experiment_id>/<model_name>`.
 
@@ -190,7 +190,7 @@ Training of emergency siren detection dataset is invoked by:
 
 # Parallel Launchers
 
-To launch multiple optimizations in parallel you can use a hydra launcher. 
+To launch multiple optimizations in parallel you can use a hydra launcher.
 
 Joblib launcher is installed by default:
 
@@ -225,7 +225,6 @@ best of your abilities.
 
 # Automatic Mirroring
 
-This project automatically mirrors its *main* branch and all branches prefixed with *pub/* to its public github repository. 
-
-These branches are configured as protected branches by default. 
+This project automatically mirrors its *main* branch and all branches prefixed with *pub/* to its public github repository.
 
+These branches are configured as protected branches by default.
diff --git a/doc/configuration/configuration.md b/doc/configuration/configuration.md
index 9b121ce2..7afbace7 100644
--- a/doc/configuration/configuration.md
+++ b/doc/configuration/configuration.md
@@ -1,8 +1,8 @@
 <!--
-Copyright (c) 2022 University of Tübingen.
+Copyright (c) 2023 Hannah contributors.
 
 This file is part of hannah.
-See https://atreus.informatik.uni-tuebingen.de/ties/ai/hannah/hannah for further info.
+See https://github.com/ekut-es/hannah for further info.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
@@ -221,7 +221,7 @@ Capsules the options to the lightning trainer. Currently it sets the following d
 Default options are:
 
 
-`gpus`
+`devices`
 : 1
 
 `auto_select_gpus`
diff --git a/doc/configuration/multi_gpu.md b/doc/configuration/multi_gpu.md
index 1899df43..5afcc07a 100644
--- a/doc/configuration/multi_gpu.md
+++ b/doc/configuration/multi_gpu.md
@@ -1,8 +1,8 @@
 <!--
-Copyright (c) 2022 University of Tübingen.
+Copyright (c) 2023 Hannah contributors.
 
 This file is part of hannah.
-See https://atreus.informatik.uni-tuebingen.de/ties/ai/hannah/hannah for further info.
+See https://github.com/ekut-es/hannah for further info.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
@@ -22,13 +22,13 @@ Hannah supports multi GPU-Training using the lightning distributed APIs:
 
 We provide preset trainer configs for distributed data parallel training:
 
-```hannah-train trainer=ddp trainer.gpus=[0,1]```
+```hannah-train trainer=ddp trainer.devices=[0,1]```
 
 
 And for sharded training using fairscale:
 
 
-```hannah-train trainer=sharded trainer.gpus=[0,1]```
+```hannah-train trainer=sharded trainer.devices=[0,1]```
 
 
-Sharded training distributes some of the model parameters across multiple GPUs and allows fitting bigger models in the same amount of GPU memory.
+Sharded training distributes some of the model parameters across multiple devices and allows fitting bigger models in the same amount of GPU memory.
diff --git a/experiments/kvasir_ae/config.yaml b/experiments/kvasir_ae/config.yaml
index f33003d1..2a89ed57 100644
--- a/experiments/kvasir_ae/config.yaml
+++ b/experiments/kvasir_ae/config.yaml
@@ -18,11 +18,11 @@
 ##
 defaults:
     - base_config
-    - override dataset: kvasir_unlabeled   # Dataset configuration name
+    - override dataset: kvasir_capsule   # Dataset configuration name
     - override features: identity        # Feature extractor configuration name (use identity for vision datasets)
-    - override model: timm_mobilenetv3_small_075      # Neural network name (for now timm_resnet50 or timm_efficientnet_lite1)
-    - override scheduler: 1cycle         # learning rate scheduler config name
-    - override optimizer: adamw          # Optimizer config name
+    - override model: timm_resnet18      # Neural network name (for now timm_resnet50 or timm_efficientnet_lite1)
+    - override scheduler: cosine_warm         # learning rate scheduler config name
+    - override optimizer: sgd          # Optimizer config name
     - override normalizer: null          # Feature normalizer (used for quantized neural networks)
     - override module: image_classifier  # Lightning module config for the training loop (image classifier for image classification tasks)
     - _self_
@@ -35,4 +35,15 @@ trainer:
   max_epochs: 50
 
 scheduler:
-  max_lr: 0.01
+  T_0: 10
+
+optimizer:
+  lr: 0.1
+  momentum: 0.9
+  weight_decay: 0.0001
+
+
+model:
+  pretrained: false
+  decoder: true
+  classifier: false
diff --git a/hannah/callbacks/prediction_logger.py b/hannah/callbacks/prediction_logger.py
new file mode 100644
index 00000000..abd7c409
--- /dev/null
+++ b/hannah/callbacks/prediction_logger.py
@@ -0,0 +1,56 @@
+#
+# Copyright (c) 2024 Hannah contributors.
+#
+# This file is part of hannah.
+# See https://github.com/ekut-es/hannah for further info.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+from pytorch_lightning import Callback
+from torch import is_tensor
+
+
+class PredictionLogger(Callback):
+    def setup(self, trainer, pl_module, stage):
+        self.val_values = []
+        self.test_values = []
+
+    def on_validation_epoch_end(self, trainer, pl_module):
+        self._write_values("val", self.test_values)
+
+        self.val_values = []
+
+    def on_validation_batch_end(
+        self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx=0
+    ):
+        self._log("val", self.val_values, batch, outputs, batch_idx, dataloader_idx)
+
+    def on_test_epoch_end(self, trainer, pl_module):
+        self._write_values("test", self.test_values)
+        self.test_values = []
+
+    def on_test_batch_end(
+        self, trainer, pl_module, outputs, batch, batch_idx, dataloader_idx=0
+    ):
+        self._log("test", self.test_values, batch, outputs, batch_idx, dataloader_idx)
+
+    def _log(self, stage, values, batch, outputs, batch_idx, dataloader_idx):
+        values.append(outputs)
+
+        if isinstance(outputs, dict):
+            for key, value in outputs.items():
+                if is_tensor(value):
+                    value = value.detach().cpu().numpy()
+
+    def _write_values(self, stage, values):
+        pass
diff --git a/hannah/conf/objectdetection_eval.yaml b/hannah/conf/objectdetection_eval.yaml
index 45e3e86b..0c7d7c97 100644
--- a/hannah/conf/objectdetection_eval.yaml
+++ b/hannah/conf/objectdetection_eval.yaml
@@ -21,7 +21,7 @@ checkpoints: [trained_models/fasterrcnn_brs_new/faster-rcnn-resnet50/best.ckpt]
 noise: []
 methods: ["original", "full_augmented", "real_rain", "dawn_rain", "dawn_snow", "dawn_fog"]
 output_dir: eval
-gpus: [1]
+devices: [1]
 
 augmentation:
   - augmented_pct: 50
diff --git a/hannah/conf/trainer/cross_validation.yaml b/hannah/conf/trainer/cross_validation.yaml
index 5faf3eb6..524e79fa 100644
--- a/hannah/conf/trainer/cross_validation.yaml
+++ b/hannah/conf/trainer/cross_validation.yaml
@@ -17,7 +17,8 @@
 ## limitations under the License.
 ##
 _target_: hannah.trainer.CrossValidationTrainer
-gpus: 1
+accelerator: auto
+devices: 1
 limit_train_batches: 1.0
 limit_val_batches: 1.0
 limit_test_batches: 1.0
diff --git a/hannah/conf/trainer/default.yaml b/hannah/conf/trainer/default.yaml
index 498836d6..421f9777 100644
--- a/hannah/conf/trainer/default.yaml
+++ b/hannah/conf/trainer/default.yaml
@@ -17,7 +17,8 @@
 ## limitations under the License.
 ##
 _target_: pytorch_lightning.trainer.Trainer
-gpus: 1
+accelerator: auto
+devices: 1
 limit_train_batches: 1.0
 limit_val_batches: 1.0
 limit_test_batches: 1.0
@@ -28,8 +29,8 @@ overfit_batches: 0.0
 benchmark: False
 deterministic: "warn"
 gradient_clip_val: 0
-auto_scale_batch_size: null
 accumulate_grad_batches: 1
 plugins: null
-strategy: null
+strategy: auto
 reload_dataloaders_every_n_epochs: 0
+precision: 32
diff --git a/hannah/models/timm.py b/hannah/models/timm.py
index 280aa98a..c3f224ba 100644
--- a/hannah/models/timm.py
+++ b/hannah/models/timm.py
@@ -160,7 +160,15 @@ def __init__(self, latent_shape, input_shape):
                 ),
                 nn.BatchNorm2d(out_channels),
                 nn.LeakyReLU(2.0),
-                # nn.Upsample(scale_factor=2.0),
+                nn.Conv2d(
+                    out_channels,
+                    out_channels,
+                    3,
+                    stride=1,
+                    padding=(1, 1),
+                ),
+                nn.BatchNorm2d(out_channels),
+                nn.LeakyReLU(2.0),
             )
 
             dim_x *= 2.0
@@ -170,9 +178,9 @@ def __init__(self, latent_shape, input_shape):
             upscale.append(stage)
 
         stage = nn.Sequential(
+            nn.Upsample(size=(input_x, input_y)),
             nn.Conv2d(channels, input_channels, 3, padding=(1, 1)),
             nn.BatchNorm2d(input_channels),
-            nn.Upsample(size=(input_x, input_y)),
             nn.Tanh(),
         )
         upscale.append(stage)
diff --git a/hannah/modules/angle_classifier.py b/hannah/modules/angle_classifier.py
index 57b142b4..8a3bb95d 100644
--- a/hannah/modules/angle_classifier.py
+++ b/hannah/modules/angle_classifier.py
@@ -58,7 +58,6 @@ def setup(self, stage):
         self.initialized = True
 
         if self.hparams.dataset is not None:
-
             # trainset needed to set values in hparams
             self.train_set, self.dev_set, self.test_set = self.get_split()
 
@@ -69,14 +68,10 @@ def setup(self, stage):
         self.example_input_array = self.get_example_input_array()
         dummy_input = self.example_input_array.to(device)
         logging.info("Example input array shape: %s", str(dummy_input.shape))
-        if platform.machine() == "ppc64le":
-            dummy_input = dummy_input.to("cuda:" + str(self.gpus[0]))
 
         # Instantiate features
         self.features = instantiate(self.hparams.features)
         self.features.to(device)
-        if platform.machine() == "ppc64le":
-            self.features.to("cuda:" + str(self.gpus[0]))
 
         features = self._extract_features(dummy_input)
         self.example_feature_array = features.to(self.device)
@@ -146,7 +141,6 @@ def training_step(self, batch, batch_idx):
 
     # VALIDATION CODE
     def validation_step(self, batch, batch_idx):
-
         # dataloader provides these four entries per batch
         x, x_length, y, y_length = batch
 
@@ -160,7 +154,6 @@ def validation_step(self, batch, batch_idx):
 
     # TEST CODE
     def test_step(self, batch, batch_idx):
-
         # dataloader provides these four entries per batch
         x, x_length, y, y_length = batch
 
diff --git a/hannah/modules/base.py b/hannah/modules/base.py
index 3ba18830..07809bb5 100644
--- a/hannah/modules/base.py
+++ b/hannah/modules/base.py
@@ -18,6 +18,7 @@
 #
 import copy
 import io
+import json
 import logging
 import math
 import os
@@ -34,8 +35,7 @@
 from PIL import Image
 from pytorch_lightning import LightningModule, Trainer
 from pytorch_lightning.loggers import Logger, TensorBoardLogger
-from pytorch_lightning.trainer.supporters import CombinedLoader
-from pytorch_lightning.utilities.rank_zero import rank_zero_only
+from pytorch_lightning.utilities import CombinedLoader, rank_zero_only
 from torchmetrics import AUROC, MetricCollection
 
 from ..models.factory.qat import QAT_MODULE_MAPPINGS
@@ -67,7 +67,6 @@ def __init__(
         unlabeled_data: Optional[DictConfig] = None,
         export_onnx: bool = True,
         export_relay: bool = False,
-        gpus=None,
         shuffle_all_dataloaders: bool = False,
         augmentation: Optional[DictConfig] = None,
         pseudo_labeling: Optional[DictConfig] = None,
@@ -93,7 +92,6 @@ def __init__(
         self.logged_samples = 0
         self.export_onnx = export_onnx
         self.export_relay = export_relay
-        self.gpus = gpus
         self.shuffle_all_dataloaders = shuffle_all_dataloaders
 
         self.train_set = None
@@ -104,6 +102,9 @@ def __init__(
         self.test_metrics: MetricCollection = MetricCollection({})
         self.train_metrics: MetricCollection = MetricCollection({})
 
+        self.test_roc = None
+        self.test_pr_curve = None
+
         self.pseudo_label = None
         self.batch_size = batch_size
 
@@ -267,6 +268,9 @@ def save(self):
                 logging.error("Could not export onnx model ...\n {}".format(str(e)))
 
     def on_load_checkpoint(self, checkpoint) -> None:
+        # Calling self setup to make sure that the model is instantiated
+        self.setup("train")
+
         for k, v in self.state_dict().items():
             if k not in checkpoint["state_dict"]:
                 msglogger.warning(
@@ -306,7 +310,9 @@ def on_test_end(self) -> None:
             return
 
         self._plot_confusion_matrix()
+        self._plot_curves()
 
+    # FIXME: this is terrible please use standard metrics for auroc scores
     def _AUROC(self, preds, target):
         auroc = AUROC(task="binary")
         auroc_score = auroc(preds, target)
@@ -314,22 +320,74 @@ def _AUROC(self, preds, target):
             if isinstance(logger, TensorBoardLogger) and hasattr(self, "test_metrics"):
                 logger.log_metrics({"AUROC": auroc_score})
 
+    def _plot_curves(self) -> None:
+        os.makedirs("plots", exist_ok=True)
+        if self.test_roc is not None:
+            roc = self.test_roc.compute()
+            fpr, tpr, thresholds = roc
+
+            with open("plots/test_roc.json", "w") as fp:
+                json.dump(
+                    {
+                        "fpr": fpr.cpu().numpy().tolist(),
+                        "tpr": tpr.cpu().numpy().tolist(),
+                        "thresholds": thresholds.cpu().numpy().tolist(),
+                        "categories": list(self.test_set.class_names_abbreviated),
+                    },
+                    fp,
+                )
+
+            fig, ax = self.test_roc.plot(roc)
+            fig.savefig("plots/test_roc.png")
+            fig.savefig("plots/test_roc.pdf")
+
+            self.test_roc.reset()
+
+        if self.test_pr_curve:
+            pr_curve = self.test_pr_curve.compute()
+            precision, recall, thresholds = pr_curve
+            with open("plots/test_pr_curve.json", "w") as fp:
+                json.dump(
+                    {
+                        "precision": precision.cpu().numpy().tolist(),
+                        "recall": recall.cpu().numpy().tolist(),
+                        "thresholds": thresholds.cpu().numpy().tolist(),
+                        "categories": list(self.test_set.class_names_abbreviated),
+                    },
+                    fp,
+                )
+
+            fig, ax = self.test_pr_curve.plot(pr_curve)
+            fig.savefig("plots/test_pr_curve.png")
+            fig.savefig("plots/test_pr_curve.pdf")
+
+            self.test_pr_curve.reset()
+
     def _plot_confusion_matrix(self) -> None:
-        if hasattr(self, "test_confusion"):
+        os.makedirs("plots", exist_ok=True)
+        if hasattr(self, "test_confusion") and self.test_confusion is not None:
             confusion_matrix = self.test_confusion.compute()
             self.test_confusion.reset()
 
             if self.trainer.global_rank > 0:
                 return
 
+            json.dump(
+                {
+                    "data": confusion_matrix.cpu().numpy().tolist(),
+                    "categories": list(self.test_set.class_names_abbreviated),
+                },
+                open("plots/test_confusion.json", "w"),
+            )
+
             confusion_plot = plot_confusion_matrix(
                 confusion_matrix.cpu().numpy(),
                 categories=self.test_set.class_names_abbreviated,
                 figsize=(self.num_classes, self.num_classes),
             )
 
-            confusion_plot.savefig("test_confusion.png")
-            confusion_plot.savefig("test_confusion.pdf")
+            confusion_plot.savefig("plots/test_confusion.png")
+            confusion_plot.savefig("plots/test_confusion.pdf")
 
             buf = io.BytesIO()
 
diff --git a/hannah/modules/vision/base.py b/hannah/modules/vision/base.py
index 941c53c5..48df63ec 100644
--- a/hannah/modules/vision/base.py
+++ b/hannah/modules/vision/base.py
@@ -27,13 +27,15 @@
 import torch
 import torch.utils.data as data
 from hydra.utils import get_class, instantiate
-from pytorch_lightning.trainer.supporters import CombinedLoader
+from pytorch_lightning.utilities import CombinedLoader
 from torchmetrics import (
+    ROC,
     Accuracy,
     ConfusionMatrix,
     F1Score,
     MetricCollection,
     Precision,
+    PrecisionRecallCurve,
     Recall,
 )
 
@@ -144,6 +146,13 @@ def setup(self, stage):
                 "multiclass", num_classes=self.num_classes
             )
 
+            self.test_roc = ROC(
+                "multiclass", num_classes=self.num_classes, thresholds=10
+            )
+            self.test_pr_curve = PrecisionRecallCurve(
+                "multiclass", num_classes=self.num_classes, thresholds=10
+            )
+
             for step_name in ["train", "val", "test"]:
                 step_metrics = MetricCollection(
                     {
diff --git a/hannah/modules/vision/image_classifier.py b/hannah/modules/vision/image_classifier.py
index f42b5f2c..f406e2c2 100644
--- a/hannah/modules/vision/image_classifier.py
+++ b/hannah/modules/vision/image_classifier.py
@@ -24,7 +24,6 @@
 import torch.utils.data as data
 import torchvision.utils
 from hydra.utils import get_class, instantiate
-from pytorch_lightning.trainer.supporters import CombinedLoader
 from torchmetrics import (
     Accuracy,
     ConfusionMatrix,
@@ -83,6 +82,7 @@ def common_step(self, step_name, batch, batch_idx):
             loss += classifier_loss
 
             preds = torch.argmax(logits, dim=1)
+            provs = torch.softmax(logits, dim=1)
             self.metrics[f"{step_name}_metrics"](preds, labels)
 
             self.log_dict(
@@ -94,14 +94,16 @@ def common_step(self, step_name, batch, batch_idx):
             and prediction_result.decoded.numel() > 0
         ):
             decoded = prediction_result.decoded
-            decoder_loss = ss_loss.forward(true_data=x, decoded=decoded)
+            decoder_loss = torch.nn.functional.mse_loss(
+                decoded, augmented_data, reduction="mean"
+            )
             self.log(f"{step_name}_decoder_loss", decoder_loss)
             loss += decoder_loss
 
             if batch_idx == 0:
                 self._log_batch_images("decoded", batch_idx, decoded)
 
-        self.log(f"{step_name}_loss", loss, batch_size=self.batch_size)
+        self.log(f"{step_name}_loss", loss, batch_size=self.batch_size, prog_bar=True)
         return loss, prediction_result, batch, preds
 
     def training_step(self, batch, batch_idx):
@@ -133,28 +135,7 @@ def validation_step(self, batch, batch_idx):
             "val", batch, batch_idx
         )
 
-        return {"preds": preds.detach().cpu(), "labels": batch["labels"].detach().cpu()}
-
-    def on_validation_epoch_start(self):
-        super().on_validation_epoch_start()
-
-        import pandas as pd
-
-        self.validation_res_df = pd.DataFrame(data={"preds": [], "labels": []})
-
-    def on_validation_batch_end(self, outputs, batch, batch_idx, dataloader_idx=0):
-        super().on_validation_batch_end(outputs, batch, batch_idx, dataloader_idx=0)
-
-        # combined = torch.stack((outputs["preds"], outputs["labels"]))
-
-        import pandas as pd
-
-        df = pd.DataFrame(outputs)
-
-        self.validation_res_df = self.validation_res_df.append(df)
-
-    def on_validation_epoch_end(self):
-        super().on_validation_epoch_end()
+        return None
 
     def test_step(self, batch, batch_idx):
         _, step_results, batch, preds = self.common_step("test", batch, batch_idx)
@@ -162,3 +143,10 @@ def test_step(self, batch, batch_idx):
         y = batch.get("labels", None)
         if y is not None and preds is not None:
             self.test_confusion(preds, y)
+
+        if y is not None and step_results.logits.numel() > 0:
+            probs = torch.softmax(step_results.logits, dim=1)
+            self.test_roc(probs, y)
+            self.test_pr_curve(probs, y)
+
+        return step_results
diff --git a/hannah/nas/search/model_trainer/simple_model_trainer.py b/hannah/nas/search/model_trainer/simple_model_trainer.py
index ef7247f6..10a674b1 100644
--- a/hannah/nas/search/model_trainer/simple_model_trainer.py
+++ b/hannah/nas/search/model_trainer/simple_model_trainer.py
@@ -27,14 +27,14 @@
 import torch
 import torch.nn as nn
 from hydra.utils import instantiate
+from lightning.fabric.utilities.seed import reset_seed, seed_everything
 from omegaconf import DictConfig, OmegaConf
 from pytorch_lightning.loggers import CSVLogger, TensorBoardLogger
-from pytorch_lightning.utilities.seed import reset_seed, seed_everything
 
+from hannah.nas.functional_operators.executor import BasicExecutor
 from hannah.nas.parameters.parametrize import set_parametrization
 from hannah.nas.search.utils import save_graph_to_file, setup_callbacks
 from hannah.utils.utils import common_callbacks
-from hannah.nas.functional_operators.executor import BasicExecutor
 
 msglogger = logging.getLogger(__name__)
 
@@ -67,9 +67,9 @@ def run_training(self, model, num, global_num, config):
 
             self.setup_seed(config)
             print("=======")
-            print(config.trainer.gpus)
-            self.setup_gpus(num, config, logger)
-            print(config.trainer.gpus)
+            print(config.trainer.devices)
+            self.setup_devices(num, config, logger)
+            print(config.trainer.devices)
             print("=========")
             callbacks, opt_monitor, opt_callback = setup_callbacks(config)
             try:
@@ -98,7 +98,9 @@ def run_training(self, model, num, global_num, config):
                 res = {}
                 for monitor in opt_monitor:
                     # res[monitor] = float("inf")
-                    res[monitor] = 1  # FIXME: "inf" causes errors in performance prediction. Find "worst" value for each respective metric?
+                    res[
+                        monitor
+                    ] = 1  # FIXME: "inf" causes errors in performance prediction. Find "worst" value for each respective metric?
 
             return res
         finally:
@@ -113,23 +115,23 @@ def setup_seed(self, config):
             seed = seed[0]
         seed_everything(seed, workers=True)
 
-    def setup_gpus(self, num, config, logger):
-        if config.trainer.gpus is not None:
-            if isinstance(config.trainer.gpus, int):
-                num_gpus = config.trainer.gpus
-                gpu = num % num_gpus
-            elif len(config.trainer.gpus) == 0:
-                num_gpus = torch.cuda.device_count()
-                gpu = num % num_gpus
+    def setup_devices(self, num, config, logger):
+        if config.trainer.devices is not None:
+            if isinstance(config.trainer.devices, int):
+                num_devices = config.trainer.devices
+                device = num % num_devices
+            elif len(config.trainer.devices) == 0:
+                num_devices = torch.cuda.device_count()
+                device = num % num_devices
             else:
-                gpu = config.trainer.gpus[num % len(config.trainer.gpus)]
+                device = config.trainer.devices[num % len(config.trainer.devices)]
 
-            if gpu >= torch.cuda.device_count():
+            if device >= torch.cuda.device_count():
                 msglogger.warning(
                     "GPU %d is not available on this device using GPU %d instead",
-                    gpu,
-                    gpu % torch.cuda.device_count(),
+                    device,
+                    device % torch.cuda.device_count(),
                 )
-                gpu = gpu % torch.cuda.device_count()
+                device = device % torch.cuda.device_count()
 
-            config.trainer.gpus = [gpu]
+            config.trainer.devices = [device]
diff --git a/hannah/nas/search/search_old.py b/hannah/nas/search/search_old.py
index 58038f37..c4844221 100644
--- a/hannah/nas/search/search_old.py
+++ b/hannah/nas/search/search_old.py
@@ -33,10 +33,10 @@
 import yaml
 from hydra.utils import instantiate
 from joblib import Parallel, delayed
+from lightning.fabric.utilities.seed import reset_seed, seed_everything
 from omegaconf import OmegaConf
 from pytorch_lightning import LightningModule, Trainer
 from pytorch_lightning.loggers import CSVLogger, TensorBoardLogger
-from pytorch_lightning.utilities.seed import reset_seed, seed_everything
 
 from hannah.models.convnet.models import ConvNet
 from hannah.nas.core.parametrized import is_parametrized
@@ -248,15 +248,15 @@ def run_training(
             seed = seed[0]
         seed_everything(seed, workers=True)
 
-        if config.trainer.gpus is not None:
-            if isinstance(config.trainer.gpus, int):
-                num_gpus = config.trainer.gpus
+        if config.trainer.devices is not None:
+            if isinstance(config.trainer.devices, int):
+                num_gpus = config.trainer.devices
                 gpu = num % num_gpus
             elif len(config.trainer.gpus) == 0:
                 num_gpus = torch.cuda.device_count()
                 gpu = num % num_gpus
             else:
-                gpu = config.trainer.gpus[num % len(config.trainer.gpus)]
+                gpu = config.trainer.devices[num % len(config.trainer.gpus)]
 
             if gpu >= torch.cuda.device_count():
                 logging.warning(
@@ -266,7 +266,7 @@ def run_training(
                 )
                 gpu = gpu % torch.cuda.device_count()
 
-            config.trainer.gpus = [gpu]
+            config.trainer.devices = [gpu]
 
         callbacks = common_callbacks(config)
         opt_monitor = config.get("monitor", ["val_error"])
diff --git a/hannah/tools/eval.py b/hannah/tools/eval.py
index 04c7164e..2a049cc2 100644
--- a/hannah/tools/eval.py
+++ b/hannah/tools/eval.py
@@ -1,8 +1,8 @@
 #
-# Copyright (c) 2022 University of Tübingen.
+# Copyright (c) 2023 Hannah contributors.
 #
 # This file is part of hannah.
-# See https://atreus.informatik.uni-tuebingen.de/ties/ai/hannah/hannah for further info.
+# See https://github.com/ekut-es/hannah for further info.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -23,9 +23,9 @@
 import hydra
 import torch
 from hydra.utils import instantiate, to_absolute_path
+from lightning.fabric.utilities.seed import reset_seed, seed_everything
 from omegaconf import DictConfig
 from pytorch_lightning import Trainer
-from pytorch_lightning.utilities.seed import reset_seed, seed_everything
 
 import hannah.modules.classifier
 
@@ -57,7 +57,7 @@ def eval_checkpoint(config: DictConfig, checkpoint) -> None:
     module.setup("test")
     module.load_state_dict(checkpoint["state_dict"])
 
-    trainer = Trainer(gpus=0, deterministic=True)
+    trainer = Trainer(devices=0, deterministic=True)
     trainer.validate(model=module, ckpt_path=None)
     reset_seed()
     trainer.test(model=module, ckpt_path=None)
diff --git a/hannah/tools/objectdetection_eval.py b/hannah/tools/objectdetection_eval.py
index 43d8bef1..2c08d540 100644
--- a/hannah/tools/objectdetection_eval.py
+++ b/hannah/tools/objectdetection_eval.py
@@ -1,8 +1,8 @@
 #
-# Copyright (c) 2022 University of Tübingen.
+# Copyright (c) 2023 Hannah contributors.
 #
 # This file is part of hannah.
-# See https://atreus.informatik.uni-tuebingen.de/ties/ai/hannah/hannah for further info.
+# See https://github.com/ekut-es/hannah for further info.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -22,9 +22,9 @@
 import hydra
 import torch
 from hydra.utils import instantiate, to_absolute_path
+from lightning.fabric.utilities.seed import reset_seed, seed_everything
 from omegaconf import DictConfig, OmegaConf, open_dict
 from pytorch_lightning import Trainer
-from pytorch_lightning.utilities.seed import reset_seed, seed_everything
 
 from hannah.datasets.Kitti import Kitti
 
@@ -40,8 +40,8 @@ def eval_train(config, module, test=True):
     Returns:
 
     """
-    gpus = config["gpus"] if len(config["gpus"]) > 0 else 0
-    trainer = Trainer(gpus=gpus, deterministic=True, logger=False)
+    devices = config["devices"] if len(config["devices"]) > 0 else 0
+    trainer = Trainer(devices=devices, deterministic=True, logger=False)
     val = trainer.validate(model=module, ckpt_path=None, verbose=test)
 
     return val
diff --git a/hannah/train.py b/hannah/train.py
index 8a940030..5966847f 100644
--- a/hannah/train.py
+++ b/hannah/train.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2023 Hannah contributors.
+# Copyright (c) 2024 Hannah contributors.
 #
 # This file is part of hannah.
 # See https://github.com/ekut-es/hannah for further info.
@@ -16,32 +16,37 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 #
+import datetime
+import json
 import logging
 import os
 import shutil
 from pathlib import Path
-from typing import Any, Dict, List, Type, Union
+from typing import Any, Dict, List, Mapping, Type, Union
 
 import pandas as pd
 import tabulate
 import torch
 import torch.nn as nn
-from hydra.utils import instantiate
+from hydra.utils import get_class, get_original_cwd, instantiate
+from lightning.fabric.utilities.seed import reset_seed, seed_everything
 from omegaconf import DictConfig, OmegaConf
 from pytorch_lightning import Trainer
 from pytorch_lightning.loggers import CSVLogger, TensorBoardLogger
-from pytorch_lightning.utilities.cloud_io import load as pl_load
 from pytorch_lightning.utilities.rank_zero import rank_zero_only
-from pytorch_lightning.utilities.seed import reset_seed, seed_everything
 
 from . import conf  # noqa
 from .callbacks.optimization import HydraOptCallback
+from .callbacks.prediction_logger import PredictionLogger
 from .utils import (
     auto_select_gpus,
     clear_outputs,
     common_callbacks,
+    git_version,
     log_execution_env_state,
 )
+from .utils.dvclive import DVCLIVE_AVAILABLE, DVCLogger
+from .utils.logger import JSONLogger
 
 msglogger: logging.Logger = logging.getLogger(__name__)
 
@@ -65,6 +70,7 @@ def train(
     config: DictConfig,
 ) -> Union[float, Dict[Any, float], List[Union[float, Dict[Any, float]]]]:
     test_output = []
+    val_output = []
     results = []
     if isinstance(config.seed, int):
         config.seed = [config.seed]
@@ -74,11 +80,13 @@ def train(
 
     for seed in config.seed:
         seed_everything(seed, workers=True)
-        if not torch.cuda.is_available():
-            config.trainer.gpus = None
 
-        if isinstance(config.trainer.gpus, int):
-            config.trainer.gpus = auto_select_gpus(config.trainer.gpus)
+        if isinstance(config.trainer.devices, int) and config.trainer.accelerator in [
+            "gpu",
+            "auto",
+        ]:
+            if torch.cuda.is_available():
+                config.trainer.devices = auto_select_gpus(config.trainer.devices)
 
         if not config.trainer.fast_dev_run and not config.get("resume", False):
             clear_outputs()
@@ -86,20 +94,26 @@ def train(
         logging.info("Configuration: ")
         logging.info(OmegaConf.to_yaml(config))
         logging.info("Current working directory %s", os.getcwd())
-        lit_module = instantiate(
-            config.module,
-            dataset=config.dataset,
-            model=config.model,
-            optimizer=config.optimizer,
-            features=config.get("features", None),
-            augmentation=config.get("augmentation", None),
-            scheduler=config.get("scheduler", None),
-            normalizer=config.get("normalizer", None),
-            gpus=config.trainer.get("gpus", None),
-            unlabeled_data=config.get("unlabeled_data"),
-            pseudo_labeling=config.get("pseudo_labeling", None),
-            _recursive_=False,
-        )
+
+        if config.get("input_file", None):
+            msglogger.info("Loading initial weights from model %s", config.input_file)
+            lit_module = get_class(config.module._target_).load_from_checkpoint(
+                config.input_file
+            )
+        else:
+            lit_module = instantiate(
+                config.module,
+                dataset=config.dataset,
+                model=config.model,
+                optimizer=config.optimizer,
+                features=config.get("features", None),
+                augmentation=config.get("augmentation", None),
+                scheduler=config.get("scheduler", None),
+                normalizer=config.get("normalizer", None),
+                unlabeled_data=config.get("unlabeled_data"),
+                pseudo_labeling=config.get("pseudo_labeling", None),
+                _recursive_=False,
+            )
 
         profiler = None
         if config.get("profiler", None):
@@ -107,15 +121,18 @@ def train(
 
         logger = [
             TensorBoardLogger(
-                ".", version=None, name="", default_hp_metric=False, log_graph=True
+                ".",
+                version="tensorboard",
+                name="",
+                default_hp_metric=False,
+                log_graph=True,
             )
         ]
-        if config.trainer.get("stochastic_weight_avg", False):
-            logging.critical(
-                "CSVLogger is not compatible with logging with SWA, disabling csv logger"
-            )
-        else:
-            logger.append(CSVLogger(".", version=None, name=""))
+        logger.append(CSVLogger(".", version="logs", name=""))
+        logger.append(JSONLogger(".", version="logs", name=""))
+
+        # if DVCLIVE_AVAILABLE:
+        #    logger.append(DVCLogger())
 
         callbacks = []
         if config.get("backend", None):
@@ -128,6 +145,8 @@ def train(
         opt_callback = HydraOptCallback(monitor=opt_monitor)
         callbacks.append(opt_callback)
 
+        callbacks.append(PredictionLogger())
+
         checkpoint_callback = instantiate(config.checkpoint)
         callbacks.append(checkpoint_callback)
 
@@ -140,26 +159,6 @@ def train(
             _convert_="partial",
         )
 
-        if config.get("input_file", None):
-            msglogger.info("Loading initial weights from model %s", config.input_file)
-            lit_module.setup("train")
-            input_ckpt = pl_load(config.input_file)
-            lit_module.load_state_dict(input_ckpt["state_dict"], strict=False)
-
-        if config["auto_lr"]:
-            # run lr finder (counts as one epoch)
-            lr_finder = lit_trainer.lr_find(lit_module)
-
-            # inspect results
-            fig = lr_finder.plot()
-            fig.savefig("./learning_rate.png")
-
-            # recreate module with updated config
-            suggested_lr = lr_finder.suggestion()
-            config["lr"] = suggested_lr
-
-        lit_trainer.tune(lit_module)
-
         logging.info("Starting training")
         # PL TRAIN
         ckpt_path = None
@@ -184,6 +183,7 @@ def train(
         if not lit_trainer.fast_dev_run:
             reset_seed()
             lit_trainer.validate(ckpt_path=ckpt_path, verbose=validate_output)
+            val_output.append(opt_callback.val_result())
 
             if not config.get("skip_test", False):
                 # PL TEST
@@ -195,14 +195,17 @@ def train(
             results.append(opt_callback.result())
 
     @rank_zero_only
-    def summarize_test(test_output) -> None:
-        if not test_output:
+    def summarize_stage(stage: str, output: Mapping["str", float]) -> None:
+        if not output:
             return
-        result_frame = pd.DataFrame.from_dict(test_output)
+        result_frame = pd.DataFrame.from_dict(output)
         if result_frame.empty:
             return
-        result_frame.to_json("test_results.json")
-        result_frame.to_pickle("test_results.pkl")
+
+        result_frame = result_frame.astype(float)
+
+        result_frame.to_json(f"{stage}_results.json")
+        result_frame.to_pickle(f"{stage}_results.pkl")
 
         description = result_frame.describe()
         description = description.fillna(0.0)
@@ -216,7 +219,34 @@ def summarize_test(test_output) -> None:
         )
         msglogger.info("Averaged Result Metrics:\n%s", desc_table)
 
-    summarize_test(test_output)
+        # Append summarized result metrics to common history buffer
+        history_file = (
+            Path(get_original_cwd()) / Path(config.output_dir) / "history.jsonl"
+        )
+        with history_file.open("a+") as fp:
+            for out in output:
+                out["stage"] = stage
+                out["experiment"] = config.experiment_id
+                out["model"] = config.model.name
+
+                out["date"] = datetime.datetime.now().isoformat()
+                out["seed"] = seed
+                out["version"] = git_version()
+                out["dir"] = os.path.relpath(
+                    os.path.join(os.getcwd(), config.output_dir), get_original_cwd()
+                )
+
+                for k, v in out.items():
+                    if isinstance(v, torch.Tensor):
+                        if v.numel() == 1:
+                            out[k] = v.item()
+                        else:
+                            out[k] = v.cpu().tolist()
+
+                fp.write(json.dumps(out) + "\n")
+
+    summarize_stage("test", test_output)
+    summarize_stage("val", val_output)
 
     if len(results) == 1:
         return results[0]
diff --git a/hannah/trainer/cross_validation.py b/hannah/trainer/cross_validation.py
index 6b84121e..4eeb3b0a 100644
--- a/hannah/trainer/cross_validation.py
+++ b/hannah/trainer/cross_validation.py
@@ -204,7 +204,6 @@ def fit(self, model: LightningModule) -> None:
         working_model.prepare_data()
         working_model.setup(None)
         working_trainer = deepcopy(self.trainer)
-        working_trainer.tune(working_model)
         loader_model = deepcopy(working_model)
         for fold, (train_loader, val_loader, test_loader) in enumerate(
             zip(
diff --git a/hannah/utils/__init__.py b/hannah/utils/__init__.py
index ca3d5f47..7e883bfd 100644
--- a/hannah/utils/__init__.py
+++ b/hannah/utils/__init__.py
@@ -1,8 +1,8 @@
 #
-# Copyright (c) 2022 University of Tübingen.
+# Copyright (c) 2023 Hannah contributors.
 #
 # This file is part of hannah.
-# See https://atreus.informatik.uni-tuebingen.de/ties/ai/hannah/hannah for further info.
+# See https://github.com/ekut-es/hannah for further info.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -23,6 +23,7 @@
     common_callbacks,
     extract_from_download_cache,
     fullname,
+    git_version,
     list_all_files,
     log_execution_env_state,
     set_deterministic,
@@ -38,4 +39,5 @@
     "fullname",
     "set_deterministic",
     "lazy_import",
+    "git_version",
 ]
diff --git a/hannah/utils/dvclive.py b/hannah/utils/dvclive.py
new file mode 100644
index 00000000..37d69705
--- /dev/null
+++ b/hannah/utils/dvclive.py
@@ -0,0 +1,48 @@
+#
+# Copyright (c) 2023 Hannah contributors.
+#
+# This file is part of hannah.
+# See https://github.com/ekut-es/hannah for further info.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+DVCLIVE_AVAILABLE = True
+try:
+    from dvclive.lightning import DVCLiveLogger
+except ImportError:
+    DVCLIVE_AVAILABLE = False
+    DVCLiveLogger = object
+
+
+from lightning.fabric.utilities.logger import _convert_params, _sanitize_callable_params
+from lightning.pytorch.utilities import rank_zero_only
+from omegaconf import OmegaConf
+
+
+class DVCLogger(DVCLiveLogger):
+    def __init__(self, *args, **kwargs):
+        if not DVCLIVE_AVAILABLE:
+            raise ImportError(
+                "dvclive is not installed. Please install it with `pip install 'dvclive[lightning]'"
+            )
+
+        super().__init__(*args, **kwargs)
+
+    @rank_zero_only
+    def log_hyperparams(self, params, *args, **kwargs):
+        params = _convert_params(params)
+        params = _sanitize_callable_params(params)
+
+        params = OmegaConf.to_container(OmegaConf.create(params))
+        self.experiment.log_params(params)
diff --git a/hannah/utils/logger.py b/hannah/utils/logger.py
new file mode 100644
index 00000000..7c192e9c
--- /dev/null
+++ b/hannah/utils/logger.py
@@ -0,0 +1,233 @@
+#
+# Copyright (c) 2023 Hannah contributors.
+#
+# This file is part of hannah.
+# See https://github.com/ekut-es/hannah for further info.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import datetime
+import json
+import logging
+import os
+import pathlib
+from argparse import Namespace
+from typing import Any, Dict, List, Mapping, Optional, Set, Union
+
+from lightning_fabric.loggers.logger import rank_zero_experiment
+from lightning_fabric.utilities import rank_zero_only, rank_zero_warn
+from lightning_fabric.utilities.cloud_io import _is_dir, get_filesystem
+from pytorch_lightning.loggers import Logger
+from torch import Tensor
+
+log = logging.getLogger(__name__)
+
+
+def _add_prefix(
+    metrics: Mapping[str, Union[Tensor, float]], prefix: str, separator: str
+) -> Mapping[str, Union[Tensor, float]]:
+    """Insert prefix before each key in a dict, separated by the separator.
+
+    Args:
+        metrics: Dictionary with metric names as keys and measured quantities as values
+        prefix: Prefix to insert before each key
+        separator: Separates prefix and original key name
+
+    Returns:
+        Dictionary with prefix and separator inserted before each key
+
+    """
+    if not prefix:
+        return metrics
+    return {f"{prefix}{separator}{k}": v for k, v in metrics.items()}
+
+
+class JSONLogger(Logger):
+    LOGGER_JOIN_CHAR = "_"
+
+    def __init__(
+        self,
+        root_dir: pathlib.Path,
+        name: str = "lightning_logs",
+        version: Optional[Union[int, str]] = None,
+        prefix: str = "",
+        flush_logs_every_n_steps: int = 100,
+    ):
+        super().__init__()
+        root_dir = os.fspath(root_dir)
+        self._root_dir = root_dir
+        self._name = name or ""
+        self._version = version
+        self._prefix = prefix
+        self._fs = get_filesystem(root_dir)
+        self._experiment: Optional[_ExperimentWriter] = None
+        self._flush_logs_every_n_steps = flush_logs_every_n_steps
+
+    @property
+    def name(self) -> str:
+        """Gets the name of the experiment.
+
+        Returns:
+            The name of the experiment.
+
+        """
+        return self._name
+
+    @property
+    def version(self) -> Union[int, str]:
+        """Gets the version of the experiment.
+
+        Returns:
+            The version of the experiment if it is specified, else the next version.
+
+        """
+        if self._version is None:
+            self._version = self._get_next_version()
+        return self._version
+
+    @property
+    def root_dir(self) -> str:
+        """Gets the save directory where the versioned JSON experiments are saved."""
+        return self._root_dir
+
+    @property
+    def log_dir(self) -> str:
+        """The log directory for this run.
+
+        By default, it is named ``'version_${self.version}'`` but it can be overridden by passing a string value for the
+        constructor's version parameter instead of ``None`` or an int.
+
+        """
+        # create a pseudo standard path
+        version = (
+            self.version if isinstance(self.version, str) else f"version_{self.version}"
+        )
+        return os.path.join(self._root_dir, self.name, version)
+
+    @property
+    @rank_zero_experiment
+    def experiment(self) -> "_ExperimentWriter":
+        """Actual ExperimentWriter object. To use ExperimentWriter features anywhere in your code, do the following.
+
+        Example::
+
+            self.logger.experiment.some_experiment_writer_function()
+
+        """
+        if self._experiment is not None:
+            return self._experiment
+
+        os.makedirs(self._root_dir, exist_ok=True)
+        self._experiment = _ExperimentWriter(log_dir=self.log_dir)
+        return self._experiment
+
+    @rank_zero_only
+    def log_hyperparams(self, params: Union[Dict[str, Any], Namespace]) -> None:  # type: ignore[override]
+        pass
+
+    @rank_zero_only
+    def log_metrics(  # type: ignore[override]
+        self, metrics: Dict[str, Union[Tensor, float]], step: Optional[int] = None
+    ) -> None:
+        metrics = _add_prefix(metrics, self._prefix, self.LOGGER_JOIN_CHAR)
+        metrics["date"] = datetime.datetime.now().isoformat()
+        if step is None:
+            step = len(self.experiment.metrics)
+        self.experiment.log_metrics(metrics, step)
+        if (step + 1) % self._flush_logs_every_n_steps == 0:
+            self.save()
+
+    @rank_zero_only
+    def save(self) -> None:
+        super().save()
+        self.experiment.save()
+
+    @rank_zero_only
+    def finalize(self, status: str) -> None:
+        if self._experiment is None:
+            # When using multiprocessing, finalize() should be a no-op on the main process, as no experiment has been
+            # initialized there
+            return
+        self.save()
+
+    def _get_next_version(self) -> int:
+        versions_root = os.path.join(self._root_dir, self.name)
+
+        if not _is_dir(self._fs, versions_root, strict=True):
+            log.warning("Missing logger folder: %s", versions_root)
+            return 0
+
+        existing_versions = []
+        for d in self._fs.listdir(versions_root):
+            full_path = d["name"]
+            name = os.path.basename(full_path)
+            if _is_dir(self._fs, full_path) and name.startswith("version_"):
+                dir_ver = name.split("_")[1]
+                if dir_ver.isdigit():
+                    existing_versions.append(int(dir_ver))
+
+        if len(existing_versions) == 0:
+            return 0
+
+        return max(existing_versions) + 1
+
+
+class _ExperimentWriter:
+    r"""Experiment writer for CSVLogger.
+
+    Args:
+        log_dir: Directory for the experiment logs
+
+    """
+
+    NAME_METRICS_FILE = "metrics.jsonl"
+
+    def __init__(self, log_dir: str) -> None:
+        self.metrics: List[Dict[str, float]] = []
+        self.metrics_keys: List[str] = []
+
+        self._fs = get_filesystem(log_dir)
+        self.log_dir = log_dir
+        if self._fs.exists(self.log_dir) and self._fs.listdir(self.log_dir):
+            rank_zero_warn(
+                f"Experiment logs directory {self.log_dir} exists and is not empty."
+                " Previous log files in this directory will be deleted when the new ones are saved!"
+            )
+        self._fs.makedirs(self.log_dir, exist_ok=True)
+
+        self.metrics_file_path = os.path.join(self.log_dir, self.NAME_METRICS_FILE)
+
+    def log_metrics(
+        self, metrics_dict: Dict[str, float], step: Optional[int] = None
+    ) -> None:
+        """Record metrics."""
+
+        def _handle_value(value: Union[Tensor, Any]) -> Any:
+            if isinstance(value, Tensor):
+                return value.item()
+            return value
+
+        if step is None:
+            step = len(self.metrics)
+
+        metrics = {k: _handle_value(v) for k, v in metrics_dict.items()}
+        metrics["step"] = step
+        self.metrics.append(metrics)
+
+    def save(self) -> None:
+        """Save recorded metrics into files."""
+        for metric in self.metrics:
+            with self._fs.open(self.metrics_file_path, "a") as fp:
+                fp.write(json.dumps(metric) + "\n")
+
+        self.metrics = []  # reset
diff --git a/hannah/utils/utils.py b/hannah/utils/utils.py
index ddc7a061..30281f20 100644
--- a/hannah/utils/utils.py
+++ b/hannah/utils/utils.py
@@ -23,6 +23,7 @@
 import platform
 import random
 import shutil
+import subprocess
 import sys
 import time
 from contextlib import _GeneratorContextManager, contextmanager
@@ -73,16 +74,7 @@
 
 
 def log_execution_env_state() -> None:
-    """Log information about the execution environment.
-    File 'config_path' will be copied to directory 'logdir'. A common use-case
-    is passing the path to a (compression) schedule YAML file. Storing a copy
-    of the schedule file, with the experiment logs, is useful in order to
-    reproduce experiments.
-    Args:
-        config_path: path to config file, used only when logdir is set
-        logdir: log directory
-        git_root: the path to the .git root directory
-    """
+    """Log information about the execution environment."""
 
     logger.info("Environment info:")
 
@@ -129,6 +121,28 @@ def log_git_state(gitroot):
     logger.info("  ")
 
 
+def git_version(short=True):
+    """Return the current git sha
+
+    Parameters:
+        short (bool): If True, return the short (7 character) version of the SHA
+
+    Returns:
+        str: The current git SHA
+    """
+
+    workdir = os.path.dirname(__file__)
+
+    command = ["git", "rev-parse", "--short" if short else "--verify", "HEAD"]
+    return (
+        subprocess.check_output(
+            command,
+        )
+        .decode("utf8")
+        .strip()
+    )
+
+
 def list_all_files(
     path, file_suffix, file_prefix=False, remove_file_beginning=""
 ) -> Any:
@@ -202,6 +216,9 @@ def extract_from_download_cache(
 def auto_select_gpus(gpus=1) -> List[int]:
     num_gpus = gpus
 
+    if not nvsmi.is_nvidia_smi_on_path():
+        return list(range(num_gpus))
+
     gpus = list(nvsmi.get_gpus())
 
     gpus = list(
@@ -302,6 +319,12 @@ def clear_outputs():
             shutil.rmtree(component)
         elif component.name.startswith("version_"):
             shutil.rmtree(component)
+        elif component.name == "tensorboard":
+            shutil.rmtree(component)
+        elif component.name == "logs":
+            shutil.rmtree(component)
+        elif component.name == "plots":
+            shutil.rmtree(component)
         elif component.name == "profile":
             shutil.rmtree(component)
 
diff --git a/poetry.lock b/poetry.lock
index 62afca62..c5e4abcd 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,131 +1,116 @@
-# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
-version = "1.4.0"
+version = "2.0.0"
 description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
-category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
-    {file = "absl-py-1.4.0.tar.gz", hash = "sha256:d2c244d01048ba476e7c080bd2c6df5e141d211de80223460d5b3b8a2a58433d"},
-    {file = "absl_py-1.4.0-py3-none-any.whl", hash = "sha256:0d3fe606adfa4f7db64792dd4c7aee4ee0c38ab75dfd353b7a83ed3e957fcb47"},
+    {file = "absl-py-2.0.0.tar.gz", hash = "sha256:d9690211c5fcfefcdd1a45470ac2b5c5acd45241c3af71eed96bc5441746c0d5"},
+    {file = "absl_py-2.0.0-py3-none-any.whl", hash = "sha256:9a28abb62774ae4e8edbe2dd4c49ffcd45a6a848952a5eccc6a49f3f0fc1e2f3"},
 ]
 
 [[package]]
 name = "aiohttp"
-version = "3.8.5"
+version = "3.9.1"
 description = "Async http client/server framework (asyncio)"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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+    {file = "aiohttp-3.9.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3c0266cd6f005e99f3f51e583012de2778e65af6b73860038b968a0a8888487a"},
+    {file = "aiohttp-3.9.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ab221850108a4a063c5b8a70f00dd7a1975e5a1713f87f4ab26a46e5feac5a0e"},
+    {file = "aiohttp-3.9.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:c88a15f272a0ad3d7773cf3a37cc7b7d077cbfc8e331675cf1346e849d97a4e5"},
+    {file = "aiohttp-3.9.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:237533179d9747080bcaad4d02083ce295c0d2eab3e9e8ce103411a4312991a0"},
+    {file = "aiohttp-3.9.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:02ab6006ec3c3463b528374c4cdce86434e7b89ad355e7bf29e2f16b46c7dd6f"},
+    {file = "aiohttp-3.9.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04fa38875e53eb7e354ece1607b1d2fdee2d175ea4e4d745f6ec9f751fe20c7c"},
+    {file = "aiohttp-3.9.1-cp39-cp39-win32.whl", hash = "sha256:82eefaf1a996060602f3cc1112d93ba8b201dbf5d8fd9611227de2003dddb3b7"},
+    {file = "aiohttp-3.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:9b05d33ff8e6b269e30a7957bd3244ffbce2a7a35a81b81c382629b80af1a8bf"},
+    {file = "aiohttp-3.9.1.tar.gz", hash = "sha256:8fc49a87ac269d4529da45871e2ffb6874e87779c3d0e2ccd813c0899221239d"},
 ]
 
 [package.dependencies]
 aiosignal = ">=1.1.2"
-async-timeout = ">=4.0.0a3,<5.0"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
-charset-normalizer = ">=2.0,<4.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "cchardet"]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
 
 [[package]]
 name = "aiohttp-retry"
 version = "2.8.3"
 description = "Simple retry client for aiohttp"
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
@@ -140,7 +125,6 @@ aiohttp = "*"
 name = "aiosignal"
 version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -155,7 +139,6 @@ frozenlist = ">=1.1.0"
 name = "albumentations"
 version = "1.3.1"
 description = "Fast image augmentation library and easy to use wrapper around other libraries"
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
@@ -178,14 +161,13 @@ tests = ["pytest"]
 
 [[package]]
 name = "alembic"
-version = "1.12.0"
+version = "1.13.1"
 description = "A database migration tool for SQLAlchemy."
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "alembic-1.12.0-py3-none-any.whl", hash = "sha256:03226222f1cf943deee6c85d9464261a6c710cd19b4fe867a3ad1f25afda610f"},
-    {file = "alembic-1.12.0.tar.gz", hash = "sha256:8e7645c32e4f200675e69f0745415335eb59a3663f5feb487abfa0b30c45888b"},
+    {file = "alembic-1.13.1-py3-none-any.whl", hash = "sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43"},
+    {file = "alembic-1.13.1.tar.gz", hash = "sha256:4932c8558bf68f2ee92b9bbcb8218671c627064d5b08939437af6d77dc05e595"},
 ]
 
 [package.dependencies]
@@ -196,73 +178,36 @@ SQLAlchemy = ">=1.3.0"
 typing-extensions = ">=4"
 
 [package.extras]
-tz = ["python-dateutil"]
+tz = ["backports.zoneinfo"]
 
 [[package]]
 name = "amqp"
-version = "5.1.1"
+version = "5.2.0"
 description = "Low-level AMQP client for Python (fork of amqplib)."
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
-    {file = "amqp-5.1.1-py3-none-any.whl", hash = "sha256:6f0956d2c23d8fa6e7691934d8c3930eadb44972cbbd1a7ae3a520f735d43359"},
-    {file = "amqp-5.1.1.tar.gz", hash = "sha256:2c1b13fecc0893e946c65cbd5f36427861cffa4ea2201d8f6fca22e2a373b5e2"},
+    {file = "amqp-5.2.0-py3-none-any.whl", hash = "sha256:827cb12fb0baa892aad844fd95258143bce4027fdac4fccddbc43330fd281637"},
+    {file = "amqp-5.2.0.tar.gz", hash = "sha256:a1ecff425ad063ad42a486c902807d1482311481c8ad95a72694b2975e75f7fd"},
 ]
 
 [package.dependencies]
-vine = ">=5.0.0"
-
-[[package]]
-name = "ansicon"
-version = "1.89.0"
-description = "Python wrapper for loading Jason Hood's ANSICON"
-category = "main"
-optional = false
-python-versions = "*"
-files = [
-    {file = "ansicon-1.89.0-py2.py3-none-any.whl", hash = "sha256:f1def52d17f65c2c9682cf8370c03f541f410c1752d6a14029f97318e4b9dfec"},
-    {file = "ansicon-1.89.0.tar.gz", hash = "sha256:e4d039def5768a47e4afec8e89e83ec3ae5a26bf00ad851f914d1240b444d2b1"},
-]
+vine = ">=5.0.0,<6.0.0"
 
 [[package]]
 name = "antlr4-python3-runtime"
 version = "4.9.3"
 description = "ANTLR 4.9.3 runtime for Python 3.7"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
     {file = "antlr4-python3-runtime-4.9.3.tar.gz", hash = "sha256:f224469b4168294902bb1efa80a8bf7855f24c99aef99cbefc1bcd3cce77881b"},
 ]
 
-[[package]]
-name = "anyio"
-version = "4.0.0"
-description = "High level compatibility layer for multiple asynchronous event loop implementations"
-category = "main"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "anyio-4.0.0-py3-none-any.whl", hash = "sha256:cfdb2b588b9fc25ede96d8db56ed50848b0b649dca3dd1df0b11f683bb9e0b5f"},
-    {file = "anyio-4.0.0.tar.gz", hash = "sha256:f7ed51751b2c2add651e5747c891b47e26d2a21be5d32d9311dfe9692f3e5d7a"},
-]
-
-[package.dependencies]
-exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
-idna = ">=2.8"
-sniffio = ">=1.1"
-
-[package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.22)"]
-
 [[package]]
 name = "appdirs"
 version = "1.4.4"
 description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -270,26 +215,10 @@ files = [
     {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
 ]
 
-[[package]]
-name = "arrow"
-version = "1.2.3"
-description = "Better dates & times for Python"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "arrow-1.2.3-py3-none-any.whl", hash = "sha256:5a49ab92e3b7b71d96cd6bfcc4df14efefc9dfa96ea19045815914a6ab6b1fe2"},
-    {file = "arrow-1.2.3.tar.gz", hash = "sha256:3934b30ca1b9f292376d9db15b19446088d12ec58629bc3f0da28fd55fb633a1"},
-]
-
-[package.dependencies]
-python-dateutil = ">=2.7.0"
-
 [[package]]
 name = "async-timeout"
 version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -299,18 +228,17 @@ files = [
 
 [[package]]
 name = "asyncssh"
-version = "2.13.2"
+version = "2.14.2"
 description = "AsyncSSH: Asynchronous SSHv2 client and server library"
-category = "main"
 optional = true
 python-versions = ">= 3.6"
 files = [
-    {file = "asyncssh-2.13.2-py3-none-any.whl", hash = "sha256:c7dfe9085c0659acb2ef0d177fb12421e92a20d52b98ab83eed4a5916a1d60cc"},
-    {file = "asyncssh-2.13.2.tar.gz", hash = "sha256:991e531c4bb7dbec62b754878d96a3246338aac11a28ce3c3e99018fb2f5828c"},
+    {file = "asyncssh-2.14.2-py3-none-any.whl", hash = "sha256:6ff9923389a16bda4f681c1fc253386cc4e1f19fb74fd0684dd0d31943ebe5e4"},
+    {file = "asyncssh-2.14.2.tar.gz", hash = "sha256:e956bf8988d07a06ba3305f6604e261f4ca014c4a232f0873f1c7692fbe3cfc2"},
 ]
 
 [package.dependencies]
-cryptography = ">=3.1"
+cryptography = ">=39.0"
 typing-extensions = ">=3.6"
 
 [package.extras]
@@ -319,14 +247,13 @@ fido2 = ["fido2 (>=0.9.2)"]
 gssapi = ["gssapi (>=1.2.0)"]
 libnacl = ["libnacl (>=1.4.2)"]
 pkcs11 = ["python-pkcs11 (>=0.7.0)"]
-pyopenssl = ["pyOpenSSL (>=17.0.0)"]
+pyopenssl = ["pyOpenSSL (>=23.0.0)"]
 pywin32 = ["pywin32 (>=227)"]
 
 [[package]]
 name = "atpublic"
 version = "4.0"
 description = "Keep all y'all's __all__'s in sync"
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
@@ -338,7 +265,6 @@ files = [
 name = "attrs"
 version = "23.1.0"
 description = "Classes Without Boilerplate"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -357,7 +283,6 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte
 name = "automat"
 version = "22.10.0"
 description = "Self-service finite-state machines for the programmer on the go."
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -374,21 +299,19 @@ visualize = ["Twisted (>=16.1.1)", "graphviz (>0.5.1)"]
 
 [[package]]
 name = "autopage"
-version = "0.5.1"
+version = "0.5.2"
 description = "A library to provide automatic paging for console output"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "autopage-0.5.1-py3-none-any.whl", hash = "sha256:0fbf5efbe78d466a26753e1dee3272423a3adc989d6a778c700e89a3f8ff0d88"},
-    {file = "autopage-0.5.1.tar.gz", hash = "sha256:01be3ee61bb714e9090fcc5c10f4cf546c396331c620c6ae50a2321b28ed3199"},
+    {file = "autopage-0.5.2-py3-none-any.whl", hash = "sha256:f5eae54dd20ccc8b1ff611263fc87bc46608a9cde749bbcfc93339713a429c55"},
+    {file = "autopage-0.5.2.tar.gz", hash = "sha256:826996d74c5aa9f4b6916195547312ac6384bac3810b8517063f293248257b72"},
 ]
 
 [[package]]
 name = "backports-zoneinfo"
 version = "0.2.1"
 description = "Backport of the standard library zoneinfo module"
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
@@ -418,33 +341,38 @@ tzdata = ["tzdata"]
 
 [[package]]
 name = "bcrypt"
-version = "4.0.1"
+version = "4.1.2"
 description = "Modern password hashing for your software and your servers"
-category = "main"
 optional = true
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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-    {file = "bcrypt-4.0.1-cp36-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0eaa47d4661c326bfc9d08d16debbc4edf78778e6aaba29c1bc7ce67214d4410"},
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+    {file = "bcrypt-4.1.2.tar.gz", hash = "sha256:33313a1200a3ae90b75587ceac502b048b840fc69e7f7a0905b5f87fac7a1258"},
 ]
 
 [package.extras]
@@ -455,8 +383,7 @@ typecheck = ["mypy"]
 name = "beautifulsoup4"
 version = "4.12.2"
 description = "Screen-scraping library"
-category = "main"
-optional = false
+optional = true
 python-versions = ">=3.6.0"
 files = [
     {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
@@ -472,21 +399,19 @@ lxml = ["lxml"]
 
 [[package]]
 name = "billiard"
-version = "4.1.0"
+version = "4.2.0"
 description = "Python multiprocessing fork with improvements and bugfixes"
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
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+    {file = "billiard-4.2.0-py3-none-any.whl", hash = "sha256:07aa978b308f334ff8282bd4a746e681b3513db5c9a514cbdd810cbbdc19714d"},
+    {file = "billiard-4.2.0.tar.gz", hash = "sha256:9a3c3184cb275aa17a732f93f65b20c525d3d9f253722d26a82194803ade5a2c"},
 ]
 
 [[package]]
 name = "bitstring"
 version = "3.1.9"
 description = "Simple construction, analysis and modification of binary data."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -497,34 +422,33 @@ files = [
 
 [[package]]
 name = "black"
-version = "23.9.1"
+version = "23.12.0"
 description = "The uncompromising code formatter."
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "black-23.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:81a832b6e00eef2c13b3239d514ea3b7d5cc3eaa03d0474eedcbbda59441ba5d"},
+    {file = "black-23.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:6a82a711d13e61840fb11a6dfecc7287f2424f1ca34765e70c909a35ffa7fb95"},
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+    {file = "black-23.12.0.tar.gz", hash = "sha256:330a327b422aca0634ecd115985c1c7fd7bdb5b5a2ef8aa9888a82e2ebe9437a"},
 ]
 
 [package.dependencies]
@@ -538,37 +462,19 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)"]
+d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
-[[package]]
-name = "blessed"
-version = "1.20.0"
-description = "Easy, practical library for making terminal apps, by providing an elegant, well-documented interface to Colors, Keyboard input, and screen Positioning capabilities."
-category = "main"
-optional = false
-python-versions = ">=2.7"
-files = [
-    {file = "blessed-1.20.0-py2.py3-none-any.whl", hash = "sha256:0c542922586a265e699188e52d5f5ac5ec0dd517e5a1041d90d2bbf23f906058"},
-    {file = "blessed-1.20.0.tar.gz", hash = "sha256:2cdd67f8746e048f00df47a2880f4d6acbcdb399031b604e34ba8f71d5787680"},
-]
-
-[package.dependencies]
-jinxed = {version = ">=1.1.0", markers = "platform_system == \"Windows\""}
-six = ">=1.9.0"
-wcwidth = ">=0.1.4"
-
 [[package]]
 name = "board-automate"
-version = "0.4.0"
+version = "0.4.1"
 description = "Automate remote exection on linux based embedded boards"
-category = "main"
 optional = true
 python-versions = ">3.7.1,<4.0"
 files = [
-    {file = "board_automate-0.4.0-py3-none-any.whl", hash = "sha256:6bcf80d415bd07b40cef22cf139af13e8c8ed18d9586e29302a313ffecc49426"},
-    {file = "board_automate-0.4.0.tar.gz", hash = "sha256:7506112cfd991e1f2aefe3fea40e24ebaedc9aa561dfc62c97748b2701b3ec30"},
+    {file = "board_automate-0.4.1-py3-none-any.whl", hash = "sha256:b2793f2b1dba51d010a6bddfc8f84c737866c28a75a717ea62a5932a96ad2509"},
+    {file = "board_automate-0.4.1.tar.gz", hash = "sha256:b39d41d1597773ea2f281f7d239d4d3648c3497daf0f1f704b30a2ad2926bbb1"},
 ]
 
 [package.dependencies]
@@ -594,43 +500,64 @@ postgres = ["jinjasql (>0.1.7)", "psycopg2-binary (>=2.8.6,<3.0.0)", "pydot (>=1
 
 [[package]]
 name = "cachetools"
-version = "5.3.1"
+version = "5.3.2"
 description = "Extensible memoizing collections and decorators"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "cachetools-5.3.1-py3-none-any.whl", hash = "sha256:95ef631eeaea14ba2e36f06437f36463aac3a096799e876ee55e5cdccb102590"},
-    {file = "cachetools-5.3.1.tar.gz", hash = "sha256:dce83f2d9b4e1f732a8cd44af8e8fab2dbe46201467fc98b3ef8f269092bf62b"},
+    {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"},
+    {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
+]
+
+[[package]]
+name = "captum"
+version = "0.7.0"
+description = "Model interpretability for PyTorch"
+optional = true
+python-versions = ">=3.6"
+files = [
+    {file = "captum-0.7.0-py3-none-any.whl", hash = "sha256:2cbec9aa4b6ec325c2fdf369c1fdabb011017122e2314e2af009496d53a0757c"},
+    {file = "captum-0.7.0.tar.gz", hash = "sha256:7ca87d0dc67b3b7589a730b970b9536172a5468e0e31bf8657fdd73abc568a33"},
 ]
 
+[package.dependencies]
+matplotlib = "*"
+numpy = "*"
+torch = ">=1.6"
+tqdm = "*"
+
+[package.extras]
+dev = ["annoy", "black (==22.3.0)", "flake8", "flask", "flask-compress", "ipython", "ipywidgets", "jupyter", "mypy (>=0.760)", "parameterized", "pytest", "pytest-cov", "scikit-learn", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-katex", "ufmt", "usort (==1.0.2)"]
+insights = ["flask", "flask-compress", "ipython", "ipywidgets", "jupyter"]
+test = ["parameterized", "pytest", "pytest-cov"]
+tutorials = ["flask", "flask-compress", "ipython", "ipywidgets", "jupyter", "torchtext", "torchvision"]
+
 [[package]]
 name = "celery"
-version = "5.3.4"
+version = "5.3.6"
 description = "Distributed Task Queue."
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "celery-5.3.4-py3-none-any.whl", hash = "sha256:1e6ed40af72695464ce98ca2c201ad0ef8fd192246f6c9eac8bba343b980ad34"},
-    {file = "celery-5.3.4.tar.gz", hash = "sha256:9023df6a8962da79eb30c0c84d5f4863d9793a466354cc931d7f72423996de28"},
+    {file = "celery-5.3.6-py3-none-any.whl", hash = "sha256:9da4ea0118d232ce97dff5ed4974587fb1c0ff5c10042eb15278487cdd27d1af"},
+    {file = "celery-5.3.6.tar.gz", hash = "sha256:870cc71d737c0200c397290d730344cc991d13a057534353d124c9380267aab9"},
 ]
 
 [package.dependencies]
 "backports.zoneinfo" = {version = ">=0.2.1", markers = "python_version < \"3.9\""}
-billiard = ">=4.1.0,<5.0"
+billiard = ">=4.2.0,<5.0"
 click = ">=8.1.2,<9.0"
 click-didyoumean = ">=0.3.0"
 click-plugins = ">=1.1.1"
 click-repl = ">=0.2.0"
-kombu = ">=5.3.2,<6.0"
+kombu = ">=5.3.4,<6.0"
 python-dateutil = ">=2.8.2"
 tzdata = ">=2022.7"
-vine = ">=5.0.0,<6.0"
+vine = ">=5.1.0,<6.0"
 
 [package.extras]
 arangodb = ["pyArango (>=2.0.2)"]
-auth = ["cryptography (==41.0.3)"]
+auth = ["cryptography (==41.0.5)"]
 azureblockblob = ["azure-storage-blob (>=12.15.0)"]
 brotli = ["brotli (>=1.0.0)", "brotlipy (>=0.7.0)"]
 cassandra = ["cassandra-driver (>=3.25.0,<4)"]
@@ -640,111 +567,97 @@ couchbase = ["couchbase (>=3.0.0)"]
 couchdb = ["pycouchdb (==1.14.2)"]
 django = ["Django (>=2.2.28)"]
 dynamodb = ["boto3 (>=1.26.143)"]
-elasticsearch = ["elasticsearch (<8.0)"]
+elasticsearch = ["elastic-transport (<=8.10.0)", "elasticsearch (<=8.11.0)"]
 eventlet = ["eventlet (>=0.32.0)"]
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 [package.dependencies]
@@ -754,7 +667,6 @@ pycparser = "*"
 name = "cfgv"
 version = "3.4.0"
 description = "Validate configuration and produce human readable error messages."
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -766,7 +678,6 @@ files = [
 name = "chainmap"
 version = "1.0.3"
 description = "Backport/clone of ChainMap for py26, py32, and pypy3."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -776,94 +687,107 @@ files = [
 
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 optional = false
 python-versions = ">=3.7.0"
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 ]
 
 [[package]]
 name = "click"
 version = "8.1.7"
 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -878,7 +802,6 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "click-didyoumean"
 version = "0.3.0"
 description = "Enables git-like *did-you-mean* feature in click"
-category = "main"
 optional = true
 python-versions = ">=3.6.2,<4.0.0"
 files = [
@@ -893,7 +816,6 @@ click = ">=7"
 name = "click-plugins"
 version = "1.1.1"
 description = "An extension module for click to enable registering CLI commands via setuptools entry-points."
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -911,7 +833,6 @@ dev = ["coveralls", "pytest (>=3.6)", "pytest-cov", "wheel"]
 name = "click-repl"
 version = "0.3.0"
 description = "REPL plugin for Click"
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
@@ -928,14 +849,13 @@ testing = ["pytest (>=7.2.1)", "pytest-cov (>=4.0.0)", "tox (>=4.4.3)"]
 
 [[package]]
 name = "cliff"
-version = "4.3.0"
+version = "4.4.0"
 description = "Command Line Interface Formulation Framework"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -948,21 +868,19 @@ stevedore = ">=2.0.1"
 
 [[package]]
 name = "cloudpickle"
-version = "2.2.1"
-description = "Extended pickling support for Python objects"
-category = "main"
+version = "3.0.0"
+description = "Pickler class to extend the standard pickle.Pickler functionality"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "cmaes"
 version = "0.10.0"
 description = "Lightweight Covariance Matrix Adaptation Evolution Strategy (CMA-ES) implementation for Python 3."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -978,39 +896,37 @@ cmawm = ["scipy"]
 
 [[package]]
 name = "cmake"
-version = "3.27.4.1"
+version = "3.28.1"
 description = "CMake is an open-source, cross-platform family of tools designed to build, test and package software"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "cmake-3.28.1.tar.gz", hash = "sha256:0d4051d101d151d8387156c463aa45c8cd0e164f870e0ac0c8c91d3ff08528e1"},
 ]
 
 [package.extras]
-test = ["coverage (>=4.2)", "flake8 (>=3.0.4)", "path.py (>=11.5.0)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)", "pytest-runner (>=2.9)", "pytest-virtualenv (>=1.7.0)", "scikit-build (>=0.10.0)", "setuptools (>=28.0.0)", "virtualenv (>=15.0.3)", "wheel"]
+test = ["coverage (>=4.2)", "importlib-metadata (>=2.0)", "pytest (>=3.0.3)", "pytest-cov (>=2.4.0)"]
 
 [[package]]
 name = "cmd2"
 version = "2.4.3"
 description = "cmd2 - quickly build feature-rich and user-friendly interactive command line applications in Python"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -1033,7 +949,6 @@ validate = ["flake8", "mypy", "types-pkg-resources"]
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -1045,7 +960,6 @@ files = [
 name = "coloredlogs"
 version = "10.0"
 description = "Colored terminal output for Python's logging module"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -1062,14 +976,13 @@ cron = ["capturer (>=2.4)"]
 
 [[package]]
 name = "colorlog"
-version = "6.7.0"
+version = "6.8.0"
 description = "Add colours to the output of Python's logging module."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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-    {file = "colorlog-6.7.0.tar.gz", hash = "sha256:bd94bd21c1e13fac7bd3153f4bc3a7dc0eb0974b8bc2fdf1a989e474f6e582e5"},
+    {file = "colorlog-6.8.0-py3-none-any.whl", hash = "sha256:4ed23b05a1154294ac99f511fabe8c1d6d4364ec1f7fc989c7fb515ccc29d375"},
+    {file = "colorlog-6.8.0.tar.gz", hash = "sha256:fbb6fdf9d5685f2517f388fb29bb27d54e8654dd31f58bc2a3b217e967a95ca6"},
 ]
 
 [package.dependencies]
@@ -1082,7 +995,6 @@ development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
 name = "configobj"
 version = "5.0.8"
 description = "Config file reading, writing and validation."
-category = "main"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
@@ -1097,7 +1009,6 @@ six = "*"
 name = "configparser"
 version = "6.0.0"
 description = "Updated configparser from stdlib for earlier Pythons."
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
@@ -1111,135 +1022,145 @@ testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)",
 
 [[package]]
 name = "constantly"
-version = "15.1.0"
+version = "23.10.4"
 description = "Symbolic constants in Python"
-category = "main"
 optional = true
-python-versions = "*"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -1248,52 +1169,36 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1
 [package.extras]
 toml = ["tomli"]
 
-[[package]]
-name = "croniter"
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-description = "croniter provides iteration for datetime object with cron like format"
-category = "main"
-optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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-
-[package.dependencies]
-python-dateutil = "*"
-
 [[package]]
 name = "cryptography"
-version = "41.0.3"
+version = "41.0.7"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
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+    {file = "cryptography-41.0.7.tar.gz", hash = "sha256:13f93ce9bea8016c253b34afc6bd6a75993e5c40672ed5405a9c832f0d4a00bc"},
 ]
 
 [package.dependencies]
@@ -1311,53 +1216,38 @@ test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "cycler"
-version = "0.11.0"
+version = "0.12.1"
 description = "Composable style cycles"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
-    {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
+    {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"},
+    {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"},
 ]
 
+[package.extras]
+docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
+tests = ["pytest", "pytest-cov", "pytest-xdist"]
+
 [[package]]
 name = "dataclasses-json"
-version = "0.6.0"
+version = "0.6.3"
 description = "Easily serialize dataclasses to and from JSON."
-category = "dev"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
-    {file = "dataclasses_json-0.6.0-py3-none-any.whl", hash = "sha256:77cbc80041007c27db90abad79eeed9ea00d4627324b1208266379a6ebdc81e4"},
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+    {file = "dataclasses_json-0.6.3-py3-none-any.whl", hash = "sha256:4aeb343357997396f6bca1acae64e486c3a723d8f5c76301888abeccf0c45176"},
+    {file = "dataclasses_json-0.6.3.tar.gz", hash = "sha256:35cb40aae824736fdf959801356641836365219cfe14caeb115c39136f775d2a"},
 ]
 
 [package.dependencies]
 marshmallow = ">=3.18.0,<4.0.0"
 typing-inspect = ">=0.4.0,<1"
 
-[[package]]
-name = "dateutils"
-version = "0.6.12"
-description = "Various utilities for working with date and datetime objects"
-category = "main"
-optional = false
-python-versions = "*"
-files = [
-    {file = "dateutils-0.6.12-py2.py3-none-any.whl", hash = "sha256:f33b6ab430fa4166e7e9cb8b21ee9f6c9843c48df1a964466f52c79b2a8d53b3"},
-    {file = "dateutils-0.6.12.tar.gz", hash = "sha256:03dd90bcb21541bd4eb4b013637e4f1b5f944881c46cc6e4b67a6059e370e3f1"},
-]
-
-[package.dependencies]
-python-dateutil = "*"
-pytz = "*"
-
 [[package]]
 name = "decorator"
 version = "5.1.1"
 description = "Decorators for Humans"
-category = "main"
 optional = true
 python-versions = ">=3.5"
 files = [
@@ -1365,30 +1255,10 @@ files = [
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
 ]
 
-[[package]]
-name = "deepdiff"
-version = "6.5.0"
-description = "Deep Difference and Search of any Python object/data. Recreate objects by adding adding deltas to each other."
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
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-    {file = "deepdiff-6.5.0.tar.gz", hash = "sha256:080b1359d6128f3f5f1738c6be3064f0ad9b0cc41994aa90a028065f6ad11f25"},
-]
-
-[package.dependencies]
-ordered-set = ">=4.0.2,<4.2.0"
-
-[package.extras]
-cli = ["click (==8.1.3)", "pyyaml (==6.0.1)"]
-optimize = ["orjson"]
-
 [[package]]
 name = "deprecated"
 version = "1.2.14"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
-category = "main"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -1406,7 +1276,6 @@ dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "sphinx (<2)", "tox"]
 name = "dgl"
 version = "0.9.1"
 description = "Deep Graph Library"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1444,7 +1313,6 @@ tqdm = "*"
 name = "dictdiffer"
 version = "0.9.0"
 description = "Dictdiffer is a library that helps you to diff and patch dictionaries."
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -1462,7 +1330,6 @@ tests = ["check-manifest (>=0.42)", "mock (>=1.3.0)", "pytest (==5.4.3)", "pytes
 name = "diskcache"
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 ]
 
 [package.dependencies]
@@ -1594,14 +1469,13 @@ pgp = ["gpg"]
 
 [[package]]
 name = "dvc"
-version = "2.58.2"
+version = "3.35.0"
 description = "Git for data scientists - manage your code and data together"
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "dvc-2.58.2-py3-none-any.whl", hash = "sha256:3a935615812fd57c341e8b58a7f4de57d9d4a067500376041c3f1c805ee24345"},
-    {file = "dvc-2.58.2.tar.gz", hash = "sha256:d40fff99b76719d1d524f103ad9dc64141bb363492abb9b8a61c6e70efe5a4dc"},
+    {file = "dvc-3.35.0-py3-none-any.whl", hash = "sha256:ee18f5cf408d2430610e55d12099a879346c1be6ee9de0a2f08928e59da2120f"},
+    {file = "dvc-3.35.0.tar.gz", hash = "sha256:d3745f01dfded6f89dbb7a8a12d1fd5afb1252fb8755c2b512c29b934f62c866"},
 ]
 
 [package.dependencies]
@@ -1609,15 +1483,16 @@ colorama = ">=0.3.9"
 configobj = ">=5.0.6"
 distro = ">=1.3"
 dpath = ">=2.1.0,<3"
-dvc-data = ">=0.51.0,<0.52"
+dvc-data = ">=3.1,<3.2"
 dvc-http = ">=2.29.0"
-dvc-render = ">=0.3.1,<1"
-dvc-studio-client = ">=0.9.2,<1"
-dvc-task = ">=0.2.1,<1"
+dvc-render = ">=1.0.0,<2"
+dvc-studio-client = ">=0.17.1,<1"
+dvc-task = ">=0.3.0,<1"
 flatten-dict = ">=0.4.1,<1"
-"flufl.lock" = ">=5"
+"flufl.lock" = ">=5,<8"
 funcy = ">=1.14"
 grandalf = ">=0.7,<1"
+gto = ">=1.6.0,<2"
 hydra-core = ">=1.1"
 iterative-telemetry = ">=0.0.7"
 networkx = ">=2.5"
@@ -1631,7 +1506,7 @@ pyparsing = ">=2.4.7"
 requests = ">=2.22"
 rich = ">=12"
 "ruamel.yaml" = ">=0.17.11"
-scmrepo = ">=1.0.0,<2"
+scmrepo = ">=2.0.2,<3"
 shortuuid = ">=0.5"
 shtab = ">=1.3.4,<2"
 tabulate = ">=0.8.7"
@@ -1642,62 +1517,59 @@ voluptuous = ">=0.11.7"
 
 [package.extras]
 all = ["dvc[azure,gdrive,gs,hdfs,oss,s3,ssh,webdav,webhdfs]"]
-azure = ["dvc-azure (>=2.21.2)"]
-dev = ["dvc[azure,gdrive,gs,hdfs,lint,oss,s3,ssh,terraform,tests,webdav,webhdfs]"]
-gdrive = ["dvc-gdrive (==2.19.2)"]
-gs = ["dvc-gs (==2.22.0)"]
-hdfs = ["dvc-hdfs (==2.19)"]
-lint = ["mypy (==1.3.0)", "pylint (==2.17.4)", "types-colorama", "types-psutil", "types-requests", "types-tabulate", "types-toml", "types-tqdm"]
-oss = ["dvc-oss (==2.19)"]
-s3 = ["dvc-s3 (==2.22.0)"]
-ssh = ["dvc-ssh (>=2.22.1,<3)"]
-ssh-gssapi = ["dvc-ssh[gssapi] (>=2.22.1,<3)"]
-terraform = ["tpi[ssh] (>=2.1)"]
-testing = ["pytest-benchmark[histogram]", "pytest-test-utils", "pytest-virtualenv"]
-tests = ["beautifulsoup4 (>=4.4)", "dvc-ssh", "dvc[testing]", "filelock", "flaky", "pytest (>=7,<8)", "pytest-cov", "pytest-docker (>=1,<2)", "pytest-lazy-fixture", "pytest-mock", "pytest-test-utils", "pytest-timeout (>=2)", "pytest-xdist (>=3.2)", "pywin32 (>=225)"]
-webdav = ["dvc-webdav (==2.19.1)"]
-webhdfs = ["dvc-webhdfs (==2.19)"]
-webhdfs-kerberos = ["dvc-webhdfs[kerberos] (==2.19)"]
+azure = ["dvc-azure (>=3,<4)"]
+dev = ["dvc[azure,gdrive,gs,hdfs,lint,oss,s3,ssh,tests,webdav,webhdfs]"]
+gdrive = ["dvc-gdrive (>=3,<4)"]
+gs = ["dvc-gs (>=3,<4)"]
+hdfs = ["dvc-hdfs (>=3,<4)"]
+lint = ["mypy (==1.7.1)", "pandas-stubs", "types-colorama", "types-psutil", "types-pyinstaller", "types-requests", "types-tabulate", "types-toml", "types-tqdm"]
+oss = ["dvc-oss (>=3,<4)"]
+s3 = ["dvc-s3 (>=3,<4)"]
+ssh = ["dvc-ssh (>=3,<4)"]
+ssh-gssapi = ["dvc-ssh[gssapi] (>=3,<4)"]
+testing = ["pytest-benchmark[histogram]", "pytest-test-utils", "virtualenv"]
+tests = ["beautifulsoup4 (>=4.4)", "dbt-sqlite", "dvc-ssh", "dvc[testing]", "filelock", "flaky", "pandas (>=1)", "pytest (>=7,<8)", "pytest-cov (>=4.1.0)", "pytest-docker (>=1,<3)", "pytest-lazy-fixture", "pytest-mock", "pytest-test-utils", "pytest-timeout (>=2)", "pytest-xdist (>=3.2)", "pywin32 (>=225)", "sqlalchemy (>=1,<3)", "tzdata"]
+webdav = ["dvc-webdav (>=3,<4)"]
+webhdfs = ["dvc-webhdfs (>=3,<4)"]
+webhdfs-kerberos = ["dvc-webhdfs[kerberos] (>=3,<4)"]
 
 [[package]]
 name = "dvc-data"
-version = "0.51.0"
-description = "dvc data"
-category = "main"
+version = "3.1.0"
+description = "DVC's data management subsystem"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "dvc-data-0.51.0.tar.gz", hash = "sha256:32544bb7d3ae509f91c2d07a9dc3739dd87980be5b41582781efb4f246b58497"},
-    {file = "dvc_data-0.51.0-py3-none-any.whl", hash = "sha256:f3244f7d848f10fdb21d5ff485410f6955a1de828a149577633e3ed0f451ebd2"},
+    {file = "dvc-data-3.1.0.tar.gz", hash = "sha256:14ff2d78946ee9caa57b8910eba32f7abec746b4f8d8791548759b16d4607682"},
+    {file = "dvc_data-3.1.0-py3-none-any.whl", hash = "sha256:3d38073e1498c282e0e800b842a0c529b05e494aa18935b7da8ecbb0a3b59c2b"},
 ]
 
 [package.dependencies]
 attrs = ">=21.3.0"
 dictdiffer = ">=0.8.1"
 diskcache = ">=5.2.1"
-dvc-objects = ">=0.22.0,<1"
+dvc-objects = ">=3,<4"
 funcy = ">=1.14"
-nanotime = ">=0.5.2"
 pygtrie = ">=2.3.2"
 shortuuid = ">=0.5.0"
-sqltrie = ">=0.3.1,<1"
+sqltrie = ">=0.9.0,<1"
+tqdm = ">=4.63.1,<5"
 
 [package.extras]
-all = ["rich (>=10.11.0,<14.0.0)", "typer[all] (>=0.6)"]
+all = ["dvc-data[cli]"]
 cli = ["rich (>=10.11.0,<14.0.0)", "typer[all] (>=0.6)"]
-dev = ["blake3 (>=0.3.1)", "mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-benchmark (==4.0.0)", "pytest-cov (==4.0.0)", "pytest-mock (==3.10.0)", "pytest-servers[s3] (==0.1.3)", "pytest-sugar (==0.9.6)", "rich (>=10.11.0,<14.0.0)", "typer[all] (>=0.6)"]
-tests = ["mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-benchmark (==4.0.0)", "pytest-cov (==4.0.0)", "pytest-mock (==3.10.0)", "pytest-servers[s3] (==0.1.3)", "pytest-sugar (==0.9.6)"]
+dev = ["blake3 (>=0.3.1)", "dvc-data[all]", "dvc-data[tests]", "mypy (==1.7.1)", "types-tqdm"]
+tests = ["pytest (>=7,<8)", "pytest-benchmark (>=4)", "pytest-cov (>=4.1.0)", "pytest-mock", "pytest-servers[s3] (==0.1.3)", "pytest-sugar"]
 
 [[package]]
 name = "dvc-http"
-version = "2.30.2"
+version = "2.32.0"
 description = "http plugin for dvc"
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "dvc-http-2.30.2.tar.gz", hash = "sha256:d7cf66e8f8359cc9f5ca137de24d259beebdec444516fc7d085ad26fa7d3b34b"},
-    {file = "dvc_http-2.30.2-py3-none-any.whl", hash = "sha256:e5e8c915af84e6e464a67053e22b75fef77c2eabb3b7f4355c2b968ca7dcf52b"},
+    {file = "dvc-http-2.32.0.tar.gz", hash = "sha256:f714f8435634aab943c625f659ddac1188c6ddaf3ff161b39715b83ff39637fc"},
+    {file = "dvc_http-2.32.0-py3-none-any.whl", hash = "sha256:1bfd57a9eae3cbfa1db564d90d87003841921a644ab35f3f7735c641cc93d72e"},
 ]
 
 [package.dependencies]
@@ -1709,61 +1581,51 @@ tests = ["dvc[testing]", "flaky (==3.7.0)", "mypy (==0.910)", "pylint (==2.15.9)
 
 [[package]]
 name = "dvc-objects"
-version = "0.25.0"
-description = "dvc objects"
-category = "main"
+version = "3.0.0"
+description = "dvc objects - filesystem and object-db level abstractions to use in dvc and dvc-data"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "dvc-objects-0.25.0.tar.gz", hash = "sha256:6e13add661ab7766cc26493102c7981b5164351f0ca4ee33d080d1651d4b5899"},
-    {file = "dvc_objects-0.25.0-py3-none-any.whl", hash = "sha256:09f318cbb376750f4d2ef0afcde4ae41ca3f3071d6192bfee676812acd1f6d1f"},
+    {file = "dvc-objects-3.0.0.tar.gz", hash = "sha256:fe6412d365d88b8f50e42aa3ed571b316f50e3466e9a83dbf99988e0802537ce"},
+    {file = "dvc_objects-3.0.0-py3-none-any.whl", hash = "sha256:9136056574f1fc85df5970694ea6fa10c909802efbc64bca0397e4490bdc5cea"},
 ]
 
 [package.dependencies]
 fsspec = ">=2022.10.0"
 funcy = ">=1.14"
-packaging = ">=19"
 shortuuid = ">=0.5.0"
-tqdm = ">=4.63.1,<5"
-typing-extensions = ">=3.7.4"
 
 [package.extras]
-dev = ["mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-mock (==3.8.2)", "pytest-servers[s3] (==0.1.3)", "pytest-sugar (==0.9.6)"]
-tests = ["mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-mock (==3.8.2)", "pytest-servers[s3] (==0.1.3)", "pytest-sugar (==0.9.6)"]
+dev = ["dvc-objects[tests]", "mypy (==1.7.1)", "types-tqdm", "typing-extensions (>=3.7.4)"]
+tests = ["pytest (>=7,<8)", "pytest-benchmark", "pytest-cov (>=4.1.0)", "pytest-mock", "pytest-sugar", "reflink", "tqdm (>=4.63.1,<5)"]
 
 [[package]]
 name = "dvc-render"
-version = "0.5.3"
+version = "1.0.0"
 description = "DVC render"
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "dvc-render-0.5.3.tar.gz", hash = "sha256:009dc09db44e416285c719324d8e101f675a58d7d846822a9faef307df22c7f2"},
-    {file = "dvc_render-0.5.3-py3-none-any.whl", hash = "sha256:562c2d08fe12a57ab03eba766702fd5ca75fb28a3560d5fc31f75e9850a6b515"},
+    {file = "dvc-render-1.0.0.tar.gz", hash = "sha256:64be22457a92d7c7983de89cb5c4da2d27e289d10f4ee5d4c51ba885ad1c7762"},
+    {file = "dvc_render-1.0.0-py3-none-any.whl", hash = "sha256:08ffd17c1de07fce3440a7082c18f1d7f9dc156e44b42f982f28938fb27b1376"},
 ]
 
-[package.dependencies]
-flatten-dict = {version = ">=0.4.1,<1", optional = true, markers = "extra == \"table\""}
-tabulate = {version = ">=0.8.7", optional = true, markers = "extra == \"table\""}
-
 [package.extras]
-dev = ["flatten-dict (>=0.4.1,<1)", "funcy (>=1.17)", "matplotlib", "mkdocs (==1.3.1)", "mkdocs-gen-files (==0.3.5)", "mkdocs-material (==8.4.1)", "mkdocs-section-index (==0.3.4)", "mkdocstrings-python (==0.7.1)", "mypy (==0.981)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (>=0.9.6,<1.0)", "pytest-test-utils (>=0.0.6)", "tabulate (>=0.8.7)"]
-docs = ["mkdocs (==1.3.1)", "mkdocs-gen-files (==0.3.5)", "mkdocs-material (==8.4.1)", "mkdocs-section-index (==0.3.4)", "mkdocstrings-python (==0.7.1)"]
+dev = ["flatten-dict (>=0.4.1,<1)", "funcy (>=1.17)", "matplotlib", "mkdocs (==1.5.2)", "mkdocs-gen-files (==0.5.0)", "mkdocs-material (==9.3.1)", "mkdocs-section-index (==0.3.6)", "mkdocstrings-python (==1.6.3)", "mypy (==0.981)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (>=0.9.6,<1.0)", "pytest-test-utils (>=0.0.6)", "tabulate (>=0.8.7)"]
+docs = ["mkdocs (==1.5.2)", "mkdocs-gen-files (==0.5.0)", "mkdocs-material (==9.3.1)", "mkdocs-section-index (==0.3.6)", "mkdocstrings-python (==1.6.3)"]
 markdown = ["flatten-dict (>=0.4.1,<1)", "matplotlib", "tabulate (>=0.8.7)"]
 table = ["flatten-dict (>=0.4.1,<1)", "tabulate (>=0.8.7)"]
 tests = ["flatten-dict (>=0.4.1,<1)", "funcy (>=1.17)", "matplotlib", "mypy (==0.981)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (>=0.9.6,<1.0)", "pytest-test-utils (>=0.0.6)", "tabulate (>=0.8.7)"]
 
 [[package]]
 name = "dvc-studio-client"
-version = "0.15.0"
+version = "0.18.0"
 description = "Small library to post data from DVC/DVCLive to Iterative Studio"
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "dvc-studio-client-0.15.0.tar.gz", hash = "sha256:46dd508a0fb2c1c9986efd4111aa16ad3e40718c5e86a2be9f6e5ee509ff44a1"},
-    {file = "dvc_studio_client-0.15.0-py3-none-any.whl", hash = "sha256:f51f36f9a86ea2bfcaed95b2ad6f532ed59a4d527c1febe079a938d79ff86796"},
+    {file = "dvc-studio-client-0.18.0.tar.gz", hash = "sha256:41d2ee96bfb3784fad2d71508938197b0917445946090b3bb5ad53354fa35fcc"},
+    {file = "dvc_studio_client-0.18.0-py3-none-any.whl", hash = "sha256:eac41a74af46a313553b09948e0dc47d1be8ccfbea4513d54cd82bc32a480c4e"},
 ]
 
 [package.dependencies]
@@ -1772,15 +1634,14 @@ requests = "*"
 voluptuous = "*"
 
 [package.extras]
-dev = ["mkdocs (==1.5.2)", "mkdocs-gen-files (==0.5.0)", "mkdocs-material (==9.2.2)", "mkdocs-section-index (==0.3.5)", "mkdocstrings-python (==1.5.0)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-mock (==3.11.1)", "pytest-sugar (==0.9.7)"]
-docs = ["mkdocs (==1.5.2)", "mkdocs-gen-files (==0.5.0)", "mkdocs-material (==9.2.2)", "mkdocs-section-index (==0.3.5)", "mkdocstrings-python (==1.5.0)"]
-tests = ["pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-mock (==3.11.1)", "pytest-sugar (==0.9.7)"]
+dev = ["mkdocs (==1.5.3)", "mkdocs-gen-files (==0.5.0)", "mkdocs-material (==9.4.6)", "mkdocs-section-index (==0.3.8)", "mkdocstrings-python (==1.7.3)", "pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-mock (==3.12.0)", "pytest-sugar (==0.9.7)"]
+docs = ["mkdocs (==1.5.3)", "mkdocs-gen-files (==0.5.0)", "mkdocs-material (==9.4.6)", "mkdocs-section-index (==0.3.8)", "mkdocstrings-python (==1.7.3)"]
+tests = ["pytest (==7.4.2)", "pytest-cov (==4.1.0)", "pytest-mock (==3.12.0)", "pytest-sugar (==0.9.7)"]
 
 [[package]]
 name = "dvc-task"
 version = "0.3.0"
 description = "Extensible task queue used in DVC."
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
@@ -1802,44 +1663,57 @@ tests = ["celery-types (==0.15.0)", "flaky (==3.7.0)", "mypy (==0.971)", "pylint
 
 [[package]]
 name = "dvclive"
-version = "1.4.0"
-description = "Metric logger for ML projects."
-category = "main"
+version = "3.4.1"
+description = "Experiments logger for ML projects."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "dvclive-1.4.0-py3-none-any.whl", hash = "sha256:7778f1bf1b1ebf3411f7d12282d654f79e343413ce71dc8a76bc1392228e12f6"},
-    {file = "dvclive-1.4.0.tar.gz", hash = "sha256:b088b258a4cd53e07a674c902ff9a14f33099d2ed67813bfa8eeec80eee83faf"},
+    {file = "dvclive-3.4.1-py3-none-any.whl", hash = "sha256:ed9ecae82a37fefc9f4aae7e0f6901254ad74676b0587a1de8debb06202c0a10"},
+    {file = "dvclive-3.4.1.tar.gz", hash = "sha256:6f27ad419cedb49a9f83b433d4a970abce00537c7f1cc1b05c1f9cbf6993ac86"},
 ]
 
 [package.dependencies]
-dvc-render = {version = ">=0.0.12", extras = ["table"]}
-dvc-studio-client = ">=0.4.0"
-"ruamel.yaml" = ">=0.17.11"
+dvc = ">=3.33.3"
+dvc-render = ">=1.0.0,<2"
+dvc-studio-client = ">=0.17.1,<1"
+funcy = "*"
+gto = "*"
+"ruamel.yaml" = "*"
+scmrepo = "*"
 
 [package.extras]
-all = ["catalyst (>22)", "datasets", "dvc (>=2.38.1)", "fastai", "lightgbm", "matplotlib", "mmcv", "numpy", "pillow", "pytorch-lightning (>=1.9)", "scikit-learn", "tensorflow", "torch (<1.13)", "transformers", "xgboost"]
+all = ["dvclive[catalyst,fastai,huggingface,image,lgbm,markdown,mmcv,optuna,plots,pytorch-lightning,tf,xgb]"]
 catalyst = ["catalyst (>22)"]
-dev = ["catalyst (>22)", "datasets", "dvc (>=2.38.1)", "fastai", "lightgbm", "matplotlib", "mmcv", "mypy (==0.981)", "numpy", "pillow", "pylint (==2.15.0)", "pylint-plugin-utils (>=0.6)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.5)", "pytorch-lightning (>=1.9)", "scikit-learn", "tensorflow", "torch (<1.13)", "transformers", "xgboost"]
-dvc = ["dvc (>=2.38.1)"]
+dev = ["dvclive[all,tests]", "mypy (>=1.1.1)", "types-PyYAML"]
 fastai = ["fastai"]
 huggingface = ["datasets", "transformers"]
 image = ["numpy", "pillow"]
 lgbm = ["lightgbm"]
+lightning = ["lightning (>=2.0)", "torch"]
 markdown = ["matplotlib"]
 mmcv = ["mmcv"]
+optuna = ["optuna"]
 plots = ["scikit-learn"]
-pytorch-lightning = ["pytorch-lightning (>=1.9)", "torch (<1.13)"]
 sklearn = ["scikit-learn"]
-tests = ["dvc (>=2.38.1)", "matplotlib", "mypy (==0.981)", "numpy", "pillow", "pylint (==2.15.0)", "pylint-plugin-utils (>=0.6)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.5)", "scikit-learn"]
+tests = ["dvclive[image,markdown,plots]", "ipython", "pytest (>=7.2.0,<8.0)", "pytest-cov (>=3.0.0,<4.0)", "pytest-mock (>=3.8.2,<4.0)", "pytest-sugar (>=0.9.6,<1.0)"]
 tf = ["tensorflow"]
 xgb = ["xgboost"]
 
+[[package]]
+name = "entrypoints"
+version = "0.4"
+description = "Discover and load entry points from installed packages."
+optional = true
+python-versions = ">=3.6"
+files = [
+    {file = "entrypoints-0.4-py3-none-any.whl", hash = "sha256:f174b5ff827504fd3cd97cc3f8649f3693f51538c7e4bdf3ef002c8429d42f9f"},
+    {file = "entrypoints-0.4.tar.gz", hash = "sha256:b706eddaa9218a19ebcd67b56818f05bb27589b1ca9e8d797b74affad4ccacd4"},
+]
+
 [[package]]
 name = "et-xmlfile"
 version = "1.1.0"
 description = "An implementation of lxml.xmlfile for the standard library"
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
@@ -1849,14 +1723,13 @@ files = [
 
 [[package]]
 name = "exceptiongroup"
-version = "1.1.3"
+version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.1.3-py3-none-any.whl", hash = "sha256:343280667a4585d195ca1cf9cef84a4e178c4b6cf2274caef9859782b567d5e3"},
-    {file = "exceptiongroup-1.1.3.tar.gz", hash = "sha256:097acd85d473d75af5bb98e41b61ff7fe35efe6675e4f9370ec6ec5126d160e9"},
+    {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
+    {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
 ]
 
 [package.extras]
@@ -1866,7 +1739,6 @@ test = ["pytest (>=6)"]
 name = "execnet"
 version = "2.0.2"
 description = "execnet: rapid multi-Python deployment"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1881,7 +1753,6 @@ testing = ["hatch", "pre-commit", "pytest", "tox"]
 name = "fabric"
 version = "3.2.2"
 description = "High level SSH command execution"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -1902,7 +1773,6 @@ pytest = ["pytest (>=7)"]
 name = "fairscale"
 version = "0.4.13"
 description = "FairScale: A PyTorch library for large-scale and high-performance training."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -1913,50 +1783,26 @@ files = [
 numpy = ">=1.22.0"
 torch = ">=1.8.0"
 
-[[package]]
-name = "fastapi"
-version = "0.1.17"
-description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-files = [
-    {file = "fastapi-0.1.17-py3-none-any.whl", hash = "sha256:a6aaad2f60684477480ac9d7a1c95e67f4696a722f184db467494bfdd5b8f29d"},
-    {file = "fastapi-0.1.17.tar.gz", hash = "sha256:a9a9b6cc32c38bab27a6549b94c44a30c70b485bc789d03de3aa8725f3394be5"},
-]
-
-[package.dependencies]
-pydantic = ">=0.17"
-starlette = ">=0.9.7"
-
-[package.extras]
-all = ["aiofiles", "email_validator", "graphene", "itsdangerous", "jinja2", "python-multipart", "pyyaml", "requests", "ujson", "ujson", "uvicorn"]
-dev = ["passlib[bcrypt]", "pyjwt"]
-doc = ["markdown-include", "mkdocs", "mkdocs-material"]
-test = ["black", "email_validator", "isort", "mypy", "pytest (>=4.0.0)", "pytest-cov", "requests"]
-
 [[package]]
 name = "filelock"
-version = "3.12.4"
+version = "3.13.1"
 description = "A platform independent file lock."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.12.4-py3-none-any.whl", hash = "sha256:08c21d87ded6e2b9da6728c3dff51baf1dcecf973b768ef35bcbc3447edb9ad4"},
-    {file = "filelock-3.12.4.tar.gz", hash = "sha256:2e6f249f1f3654291606e046b09f1fd5eac39b360664c27f5aad072012f8bcbd"},
+    {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
+    {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.7.26)", "sphinx (>=7.1.2)", "sphinx-autodoc-typehints (>=1.24)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.3)", "diff-cover (>=7.7)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)", "pytest-timeout (>=2.1)"]
-typing = ["typing-extensions (>=4.7.1)"]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "flaky"
 version = "3.7.0"
 description = "Plugin for nose or pytest that automatically reruns flaky tests."
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -1968,7 +1814,6 @@ files = [
 name = "flatbuffers"
 version = "23.5.26"
 description = "The FlatBuffers serialization format for Python"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -1980,7 +1825,6 @@ files = [
 name = "flatten-dict"
 version = "0.4.2"
 description = "A flexible utility for flattening and unflattening dict-like objects in Python."
-category = "main"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
@@ -1993,68 +1837,74 @@ six = ">=1.12,<2.0"
 
 [[package]]
 name = "flufl-lock"
-version = "8.0.2"
+version = "7.1.1"
 description = "NFS-safe file locking with timeouts for POSIX and Windows"
-category = "main"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "flufl_lock-8.0.2-py3-none-any.whl", hash = "sha256:ca33fb581122d651e4f24775bebed1e58cd1ea85a95a505881902ba050ed170b"},
-    {file = "flufl_lock-8.0.2.tar.gz", hash = "sha256:61c7246b34d6e5544c8a1fa4dae396d10e16ceb23371a31db22e0a2993d01432"},
+    {file = "flufl.lock-7.1.1-py3-none-any.whl", hash = "sha256:96d2c0448ba9fd8fc65d5d681ed7217c8e1625149c1c880bba50559bb680a615"},
+    {file = "flufl.lock-7.1.1.tar.gz", hash = "sha256:af14172b35bbc58687bd06b70d1693fd8d48cbf0ffde7e51a618c148ae24042d"},
 ]
 
 [package.dependencies]
-atpublic = "*"
-psutil = "*"
+atpublic = ">=2.3"
+psutil = ">=5.9.0"
 
 [[package]]
 name = "fonttools"
-version = "4.42.1"
+version = "4.47.0"
 description = "Tools to manipulate font files"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fonttools-4.42.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ed1a13a27f59d1fc1920394a7f596792e9d546c9ca5a044419dca70c37815d7c"},
-    {file = "fonttools-4.42.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c9b1ce7a45978b821a06d375b83763b27a3a5e8a2e4570b3065abad240a18760"},
-    {file = "fonttools-4.42.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f720fa82a11c0f9042376fd509b5ed88dab7e3cd602eee63a1af08883b37342b"},
-    {file = "fonttools-4.42.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db55cbaea02a20b49fefbd8e9d62bd481aaabe1f2301dabc575acc6b358874fa"},
-    {file = "fonttools-4.42.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:3a35981d90feebeaef05e46e33e6b9e5b5e618504672ca9cd0ff96b171e4bfff"},
-    {file = "fonttools-4.42.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:68a02bbe020dc22ee0540e040117535f06df9358106d3775e8817d826047f3fd"},
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 ]
 
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 name = "fsspec"
 version = "2022.11.0"
 description = "File-system specification"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2180,7 +2044,6 @@ tqdm = ["tqdm"]
 name = "funcy"
 version = "2.0"
 description = "A fancy and practical functional tools"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -2192,7 +2055,6 @@ files = [
 name = "gdown"
 version = "4.7.1"
 description = "Google Drive direct download of big files."
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -2211,7 +2073,6 @@ tqdm = "*"
 name = "ghp-import"
 version = "2.1.0"
 description = "Copy your docs directly to the gh-pages branch."
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -2227,14 +2088,13 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 
 [[package]]
 name = "gitdb"
-version = "4.0.10"
+version = "4.0.11"
 description = "Git Object Database"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
@@ -2244,7 +2104,6 @@ smmap = ">=3.0.1,<6"
 name = "gitdb2"
 version = "2.0.6"
 description = "Git Object Database"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -2257,39 +2116,36 @@ smmap2 = ">=2.0.0"
 
 [[package]]
 name = "gitpython"
-version = "3.1.36"
+version = "3.1.40"
 description = "GitPython is a Python library used to interact with Git repositories"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.dependencies]
 gitdb = ">=4.0.1,<5"
 
 [package.extras]
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+test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
 
 [[package]]
 name = "google-auth"
-version = "2.23.0"
+version = "2.25.2"
 description = "Google Authentication Library"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 cachetools = ">=2.0.0,<6.0"
 pyasn1-modules = ">=0.2.1"
 rsa = ">=3.1.4,<5"
-urllib3 = "<2.0"
 
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0.dev0)", "requests (>=2.20.0,<3.0.0.dev0)"]
@@ -2302,7 +2158,6 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 name = "google-auth-oauthlib"
 version = "1.0.0"
 description = "Google Authentication Library"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -2321,7 +2176,6 @@ tool = ["click (>=6.0.0)"]
 name = "grandalf"
 version = "0.8"
 description = "Graph and drawing algorithms framework"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -2339,7 +2193,6 @@ full = ["numpy", "ply"]
 name = "graphviz"
 version = "0.20.1"
 description = "Simple Python interface for Graphviz"
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
@@ -2354,88 +2207,84 @@ test = ["coverage", "mock (>=4)", "pytest (>=7)", "pytest-cov", "pytest-mock (>=
 
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 test = ["objgraph", "psutil"]
 
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 [package.dependencies]
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+    {file = "h5py-3.10.0.tar.gz", hash = "sha256:d93adc48ceeb33347eb24a634fb787efc7ae4644e6ea4ba733d099605045c049"},
 ]
 
 [package.dependencies]
@@ -2549,7 +2422,6 @@ numpy = ">=1.17.3"
 name = "hannah-tvm"
 version = "0.1.0"
 description = ""
-category = "main"
 optional = true
 python-versions = ">3.8 <3.12"
 files = []
@@ -2603,14 +2475,13 @@ url = "external/hannah-tvm"
 
 [[package]]
 name = "huggingface-hub"
-version = "0.17.1"
+version = "0.17.3"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
-category = "main"
 optional = true
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.17.1-py3-none-any.whl", hash = "sha256:7a9dc262a2e0ecf8c1749c8b9a7510a7a22981849f561af4345942d421822451"},
-    {file = "huggingface_hub-0.17.1.tar.gz", hash = "sha256:dd828d2a24ee6af86392042cc1052c482c053eb574864669f0cae4d29620e62c"},
+    {file = "huggingface_hub-0.17.3-py3-none-any.whl", hash = "sha256:545eb3665f6ac587add946e73984148f2ea5c7877eac2e845549730570c1933a"},
+    {file = "huggingface_hub-0.17.3.tar.gz", hash = "sha256:40439632b211311f788964602bf8b0d9d6b7a2314fba4e8d67b2ce3ecea0e3fd"},
 ]
 
 [package.dependencies]
@@ -2639,7 +2510,6 @@ typing = ["pydantic (<2.0)", "types-PyYAML", "types-requests", "types-simplejson
 name = "humanfriendly"
 version = "10.0"
 description = "Human friendly output for text interfaces using Python"
-category = "main"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
@@ -2654,7 +2524,6 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
 name = "hydra-colorlog"
 version = "1.2.0"
 description = "Enables colorlog for Hydra apps"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2670,7 +2539,6 @@ hydra-core = ">=1.0.0"
 name = "hydra-core"
 version = "1.3.2"
 description = "A framework for elegantly configuring complex applications"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2679,7 +2547,7 @@ files = [
 ]
 
 [package.dependencies]
-antlr4-python3-runtime = ">=4.9.0,<4.10.0"
+antlr4-python3-runtime = "==4.9.*"
 importlib-resources = {version = "*", markers = "python_version < \"3.9\""}
 omegaconf = ">=2.2,<2.4"
 packaging = "*"
@@ -2688,7 +2556,6 @@ packaging = "*"
 name = "hydra-joblib-launcher"
 version = "1.2.0"
 description = "Joblib Launcher for Hydra apps"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2704,7 +2571,6 @@ joblib = ">=0.14.0"
 name = "hydra-optuna-sweeper"
 version = "1.2.0"
 description = "Hydra Optuna Sweeper plugin"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2720,7 +2586,6 @@ optuna = ">=2.10.0,<3.0.0"
 name = "hydra-submitit-launcher"
 version = "1.2.0"
 description = "Submitit Launcher for Hydra apps"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -2736,7 +2601,6 @@ submitit = ">=1.3.3"
 name = "hyperlink"
 version = "21.0.0"
 description = "A featureful, immutable, and correct URL for Python."
-category = "main"
 optional = true
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -2749,14 +2613,13 @@ idna = ">=2.5"
 
 [[package]]
 name = "identify"
-version = "2.5.28"
+version = "2.5.33"
 description = "File identification library for Python"
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "identify-2.5.28-py2.py3-none-any.whl", hash = "sha256:87816de144bf46d161bd5b3e8f5596b16cade3b80be537087334b26bc5c177f3"},
-    {file = "identify-2.5.28.tar.gz", hash = "sha256:94bb59643083ebd60dc996d043497479ee554381fbc5307763915cda49b0e78f"},
+    {file = "identify-2.5.33-py2.py3-none-any.whl", hash = "sha256:d40ce5fcd762817627670da8a7d8d8e65f24342d14539c59488dc603bf662e34"},
+    {file = "identify-2.5.33.tar.gz", hash = "sha256:161558f9fe4559e1557e1bff323e8631f6a0e4837f7497767c1782832f16b62d"},
 ]
 
 [package.extras]
@@ -2764,21 +2627,19 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
-    {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
-    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
+    {file = "idna-3.6-py3-none-any.whl", hash = "sha256:c05567e9c24a6b9faaa835c4821bad0590fbb9d5779e7caa6e1cc4978e7eb24f"},
+    {file = "idna-3.6.tar.gz", hash = "sha256:9ecdbbd083b06798ae1e86adcbfe8ab1479cf864e4ee30fe4e46a003d12491ca"},
 ]
 
 [[package]]
 name = "imagecorruptions"
 version = "1.1.2"
 description = "This package provides a set of image corruptions."
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -2795,14 +2656,13 @@ scipy = ">=1.2.1"
 
 [[package]]
 name = "imageio"
-version = "2.31.3"
+version = "2.33.1"
 description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "imageio-2.31.3-py3-none-any.whl", hash = "sha256:ea777be55bfa4bd6aee126c7dfa3bf1759bf87be982876c50f1a976d1b65446d"},
-    {file = "imageio-2.31.3.tar.gz", hash = "sha256:74c6a832d81b7ad5a8a80976dea58ee033d3e2b99a54990cbd789b4cb0b31461"},
+    {file = "imageio-2.33.1-py3-none-any.whl", hash = "sha256:c5094c48ccf6b2e6da8b4061cd95e1209380afafcbeae4a4e280938cce227e1d"},
+    {file = "imageio-2.33.1.tar.gz", hash = "sha256:78722d40b137bd98f5ec7312119f8aea9ad2049f76f434748eb306b6937cc1ce"},
 ]
 
 [package.dependencies]
@@ -2810,65 +2670,63 @@ numpy = "*"
 pillow = ">=8.3.2"
 
 [package.extras]
-all-plugins = ["astropy", "av", "imageio-ffmpeg", "psutil", "tifffile"]
-all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
 build = ["wheel"]
 dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
 docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
 ffmpeg = ["imageio-ffmpeg", "psutil"]
 fits = ["astropy"]
-full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
+full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
 gdal = ["gdal"]
 itk = ["itk"]
 linting = ["black", "flake8"]
+pillow-heif = ["pillow-heif"]
 pyav = ["av"]
 test = ["fsspec[github]", "pytest", "pytest-cov"]
 tifffile = ["tifffile"]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.8.0"
+version = "6.11.0"
 description = "Read metadata from Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"},
-    {file = "importlib_metadata-6.8.0.tar.gz", hash = "sha256:dbace7892d8c0c4ac1ad096662232f831d4e64f4c4545bd53016a3e9d4654743"},
+    {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
+    {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
 testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
 [[package]]
 name = "importlib-resources"
-version = "6.0.1"
+version = "6.1.1"
 description = "Read resources from Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_resources-6.0.1-py3-none-any.whl", hash = "sha256:134832a506243891221b88b4ae1213327eea96ceb4e407a00d790bb0626f45cf"},
-    {file = "importlib_resources-6.0.1.tar.gz", hash = "sha256:4359457e42708462b9626a04657c6208ad799ceb41e5c58c57ffa0e6a098a5d4"},
+    {file = "importlib_resources-6.1.1-py3-none-any.whl", hash = "sha256:e8bf90d8213b486f428c9c39714b920041cb02c184686a3dee24905aaa8105d6"},
+    {file = "importlib_resources-6.1.1.tar.gz", hash = "sha256:3893a00122eafde6894c59914446a512f728a0c1a45f9bb9b63721b6bacf0b4a"},
 ]
 
 [package.dependencies]
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff", "zipp (>=3.17)"]
 
 [[package]]
 name = "incremental"
 version = "22.10.0"
 description = "\"A small library that versions your Python projects.\""
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -2884,7 +2742,6 @@ scripts = ["click (>=6.0)", "twisted (>=16.4.0)"]
 name = "iniconfig"
 version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2892,28 +2749,10 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
-[[package]]
-name = "inquirer"
-version = "3.1.3"
-description = "Collection of common interactive command line user interfaces, based on Inquirer.js"
-category = "main"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "inquirer-3.1.3-py3-none-any.whl", hash = "sha256:a7441fd74d06fcac4385218a1f5e8703f7a113f7944e01af47b8c58e84f95ce5"},
-    {file = "inquirer-3.1.3.tar.gz", hash = "sha256:aac309406f5b49d4b8ab7c6872117f43bf082a552dc256aa16bc95e16bb58bec"},
-]
-
-[package.dependencies]
-blessed = ">=1.19.0"
-python-editor = ">=1.0.4"
-readchar = ">=3.0.6"
-
 [[package]]
 name = "intervaltree"
 version = "3.1.0"
 description = "Editable interval tree data structure for Python 2 and 3"
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -2927,7 +2766,6 @@ sortedcontainers = ">=2.0,<3.0"
 name = "invoke"
 version = "2.2.0"
 description = "Pythonic task execution"
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
@@ -2937,27 +2775,22 @@ files = [
 
 [[package]]
 name = "isort"
-version = "5.12.0"
+version = "5.13.2"
 description = "A Python utility / library to sort Python imports."
-category = "dev"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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-    {file = "isort-5.12.0.tar.gz", hash = "sha256:8bef7dde241278824a6d83f44a544709b065191b95b6e50894bdc722fcba0504"},
+    {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
+    {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
 ]
 
 [package.extras]
-colors = ["colorama (>=0.4.3)"]
-pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"]
-plugins = ["setuptools"]
-requirements-deprecated-finder = ["pip-api", "pipreqs"]
+colors = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "iterative-telemetry"
 version = "0.0.8"
 description = "Common library for sending telemetry"
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
@@ -2975,23 +2808,10 @@ requests = "*"
 dev = ["mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.5)", "types-requests"]
 tests = ["mypy (==0.971)", "pylint (==2.15.0)", "pytest (==7.2.0)", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.5)", "types-requests"]
 
-[[package]]
-name = "itsdangerous"
-version = "2.1.2"
-description = "Safely pass data to untrusted environments and back."
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
 [[package]]
 name = "jeepney"
 version = "0.8.0"
 description = "Low-level, pure Python DBus protocol wrapper."
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
@@ -3007,7 +2827,6 @@ trio = ["async_generator", "trio"]
 name = "jinja2"
 version = "3.0.3"
 description = "A very fast and expressive template engine."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -3025,7 +2844,6 @@ i18n = ["Babel (>=2.7)"]
 name = "jinjasql"
 version = "0.1.8"
 description = "Generate SQL Queries and Corresponding Bind Parameters using a Jinja2 Template"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -3036,26 +2854,10 @@ files = [
 [package.dependencies]
 Jinja2 = ">=2.5"
 
-[[package]]
-name = "jinxed"
-version = "1.2.0"
-description = "Jinxed Terminal Library"
-category = "main"
-optional = false
-python-versions = "*"
-files = [
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-
-[package.dependencies]
-ansicon = {version = "*", markers = "platform_system == \"Windows\""}
-
 [[package]]
 name = "joblib"
 version = "1.3.2"
 description = "Lightweight pipelining with Python functions"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3067,7 +2869,6 @@ files = [
 name = "keyring"
 version = "21.8.0"
 description = "Store and access your passwords safely."
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
@@ -3088,7 +2889,6 @@ testing = ["jaraco.test (>=3.2.0)", "pytest (>=3.5,!=3.7.3)", "pytest-black (>=0
 name = "kiwisolver"
 version = "1.4.5"
 description = "A fast implementation of the Cassowary constraint solver"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3200,14 +3000,13 @@ files = [
 
 [[package]]
 name = "kombu"
-version = "5.3.2"
+version = "5.3.4"
 description = "Messaging library for Python."
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "kombu-5.3.4.tar.gz", hash = "sha256:0bb2e278644d11dea6272c17974a3dbb9688a949f3bb60aeb5b791329c44fadc"},
 ]
 
 [package.dependencies]
@@ -3219,14 +3018,14 @@ vine = "*"
 [package.extras]
 azureservicebus = ["azure-servicebus (>=7.10.0)"]
 azurestoragequeues = ["azure-identity (>=1.12.0)", "azure-storage-queue (>=12.6.0)"]
-confluentkafka = ["confluent-kafka (==2.1.1)"]
+confluentkafka = ["confluent-kafka (>=2.2.0)"]
 consul = ["python-consul2"]
 librabbitmq = ["librabbitmq (>=2.0.0)"]
 mongodb = ["pymongo (>=4.1.1)"]
 msgpack = ["msgpack"]
 pyro = ["pyro4"]
 qpid = ["qpid-python (>=0.26)", "qpid-tools (>=0.26)"]
-redis = ["redis (>=4.5.2)"]
+redis = ["redis (>=4.5.2,!=4.5.5,<6.0.0)"]
 slmq = ["softlayer-messaging (>=1.0.3)"]
 sqlalchemy = ["sqlalchemy (>=1.4.48,<2.1)"]
 sqs = ["boto3 (>=1.26.143)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"]
@@ -3237,7 +3036,6 @@ zookeeper = ["kazoo (>=2.8.0)"]
 name = "kornia"
 version = "0.6.12"
 description = "Open Source Differentiable Computer Vision Library for PyTorch"
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
@@ -3258,7 +3056,6 @@ x = ["accelerate (==0.18.0)"]
 name = "lazy-loader"
 version = "0.3"
 description = "lazy_loader"
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
@@ -3272,42 +3069,42 @@ test = ["pytest (>=7.4)", "pytest-cov (>=4.1)"]
 
 [[package]]
 name = "libcst"
-version = "1.0.1"
+version = "1.1.0"
 description = "A concrete syntax tree with AST-like properties for Python 3.5, 3.6, 3.7, 3.8, 3.9, and 3.10 programs."
-category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 version = "3.23.0.4"
 description = "Pre-built LibSVM packages for Python."
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 optional = false
 python-versions = ">=3.5"
 files = [
@@ -3334,78 +3130,67 @@ dev = ["pytest", "pytest-cov", "pytest-pep8"]
 
 [[package]]
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-name = "lightning-cloud"
-version = "0.5.38"
-description = "Lightning Cloud"
-category = "main"
-optional = false
-python-versions = ">=3.7.0"
-files = [
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-
-[package.dependencies]
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-fastapi = "*"
-pyjwt = "*"
-python-multipart = "*"
-requests = "*"
-rich = "*"
-six = "*"
-urllib3 = "*"
-uvicorn = "*"
-websocket-client = "*"
-
 [[package]]
 name = "lightning-utilities"
-version = "0.9.0"
+version = "0.10.0"
 description = "PyTorch Lightning Sample project."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
 packaging = ">=17.1"
+setuptools = "*"
 typing-extensions = "*"
 
 [package.extras]
 cli = ["fire"]
 docs = ["requests (>=2.0.0)"]
-typing = ["mypy (>=1.0.0)"]
+typing = ["mypy (>=1.0.0)", "types-setuptools"]
 
 [[package]]
 name = "lit"
-version = "16.0.6"
+version = "17.0.6"
 description = "A Software Testing Tool"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
 name = "mako"
-version = "1.2.4"
+version = "1.3.0"
 description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3504,29 +3263,27 @@ testing = ["pytest"]
 
 [[package]]
 name = "markdown"
-version = "3.4.4"
+version = "3.5.1"
 description = "Python implementation of John Gruber's Markdown."
-category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
 importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
 
 [package.extras]
-docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.0)", "mkdocs-nature (>=0.4)"]
+docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"]
 testing = ["coverage", "pyyaml"]
 
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
-category = "main"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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@@ -3550,7 +3307,6 @@ testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
 name = "markupsafe"
 version = "2.1.3"
 description = "Safely add untrusted strings to HTML/XML markup."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3610,7 +3366,6 @@ files = [
 name = "marshmallow"
 version = "3.20.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -3629,59 +3384,58 @@ tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
 name = "matplotlib"
-version = "3.7.3"
+version = "3.7.4"
 description = "Python plotting package"
-category = "main"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -3695,14 +3449,12 @@ packaging = ">=20.0"
 pillow = ">=6.2.0"
 pyparsing = ">=2.3.1"
 python-dateutil = ">=2.7"
-setuptools_scm = ">=7"
 
 [[package]]
 name = "mdurl"
 version = "0.1.2"
 description = "Markdown URL utilities"
-category = "main"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
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@@ -3713,7 +3465,6 @@ files = [
 name = "mergedeep"
 version = "1.3.4"
 description = "A deep merge function for 🐍."
-category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -3723,14 +3474,13 @@ files = [
 
 [[package]]
 name = "mkdocs"
-version = "1.5.2"
+version = "1.5.3"
 description = "Project documentation with Markdown."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -3757,7 +3507,6 @@ min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-imp
 name = "mkdocs-autorefs"
 version = "0.5.0"
 description = "Automatically link across pages in MkDocs."
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -3773,7 +3522,6 @@ mkdocs = ">=1.1"
 name = "mkdocs-gen-files"
 version = "0.5.0"
 description = "MkDocs plugin to programmatically generate documentation pages during the build"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3788,7 +3536,6 @@ mkdocs = ">=1.0.3"
 name = "mkdocs-literate-nav"
 version = "0.6.1"
 description = "MkDocs plugin to specify the navigation in Markdown instead of YAML"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3801,24 +3548,25 @@ mkdocs = ">=1.0.3"
 
 [[package]]
 name = "mkdocstrings"
-version = "0.23.0"
+version = "0.24.0"
 description = "Automatic documentation from sources, for MkDocs."
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
+click = ">=7.0"
 importlib-metadata = {version = ">=4.6", markers = "python_version < \"3.10\""}
 Jinja2 = ">=2.11.1"
 Markdown = ">=3.3"
 MarkupSafe = ">=1.1"
-mkdocs = ">=1.2"
+mkdocs = ">=1.4"
 mkdocs-autorefs = ">=0.3.1"
 mkdocstrings-python = {version = ">=0.5.2", optional = true, markers = "extra == \"python\""}
+platformdirs = ">=2.2.0"
 pymdown-extensions = ">=6.3"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.10\""}
 
@@ -3829,25 +3577,23 @@ python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "1.7.0"
+version = "1.7.5"
 description = "A Python handler for mkdocstrings."
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-griffe = ">=0.35"
+griffe = ">=0.37"
 mkdocstrings = ">=0.20"
 
 [[package]]
 name = "mpmath"
 version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -3865,7 +3611,6 @@ tests = ["pytest (>=4.6)"]
 name = "multidict"
 version = "6.0.4"
 description = "multidict implementation"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3947,39 +3692,38 @@ files = [
 
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 name = "mypy"
-version = "1.5.1"
+version = "1.7.1"
 description = "Optional static typing for Python"
-category = "dev"
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -3990,13 +3734,13 @@ typing-extensions = ">=4.1.0"
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
 install-types = ["pip"]
+mypyc = ["setuptools (>=50)"]
 reports = ["lxml"]
 
 [[package]]
 name = "mypy-extensions"
 version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
-category = "dev"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -4004,22 +3748,10 @@ files = [
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 ]
 
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-name = "nanotime"
-version = "0.5.2"
-description = "nanotime python implementation"
-category = "main"
-optional = true
-python-versions = "*"
-files = [
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-
 [[package]]
 name = "networkx"
 version = "3.1"
 description = "Python package for creating and manipulating graphs and networks"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -4038,7 +3770,6 @@ test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
 name = "nodeenv"
 version = "1.8.0"
 description = "Node.js virtual environment builder"
-category = "dev"
 optional = false
 python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
 files = [
@@ -4053,7 +3784,6 @@ setuptools = "*"
 name = "numpy"
 version = "1.23.5"
 description = "NumPy is the fundamental package for array computing with Python."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -4091,7 +3821,6 @@ files = [
 name = "nvidia-cublas-cu11"
 version = "11.10.3.66"
 description = "CUBLAS native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4107,7 +3836,6 @@ wheel = "*"
 name = "nvidia-cuda-cupti-cu11"
 version = "11.7.101"
 description = "CUDA profiling tools runtime libs."
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4123,7 +3851,6 @@ wheel = "*"
 name = "nvidia-cuda-nvrtc-cu11"
 version = "11.7.99"
 description = "NVRTC native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4140,7 +3867,6 @@ wheel = "*"
 name = "nvidia-cuda-runtime-cu11"
 version = "11.7.99"
 description = "CUDA Runtime native Libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4156,7 +3882,6 @@ wheel = "*"
 name = "nvidia-cudnn-cu11"
 version = "8.5.0.96"
 description = "cuDNN runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4172,7 +3897,6 @@ wheel = "*"
 name = "nvidia-cufft-cu11"
 version = "10.9.0.58"
 description = "CUFFT native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4184,7 +3908,6 @@ files = [
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 version = "10.2.10.91"
 description = "CURAND native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4200,7 +3923,6 @@ wheel = "*"
 name = "nvidia-cusolver-cu11"
 version = "11.4.0.1"
 description = "CUDA solver native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4217,7 +3939,6 @@ wheel = "*"
 name = "nvidia-cusparse-cu11"
 version = "11.7.4.91"
 description = "CUSPARSE native runtime libraries"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4233,7 +3954,6 @@ wheel = "*"
 name = "nvidia-nccl-cu11"
 version = "2.14.3"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4244,7 +3964,6 @@ files = [
 name = "nvidia-nvtx-cu11"
 version = "11.7.91"
 description = "NVIDIA Tools Extension"
-category = "main"
 optional = false
 python-versions = ">=3"
 files = [
@@ -4260,7 +3979,6 @@ wheel = "*"
 name = "nvsmi"
 version = "0.4.2"
 description = "A (user-)friendly wrapper to nvidia-smi"
-category = "main"
 optional = false
 python-versions = ">=3.6,<4.0"
 files = [
@@ -4272,7 +3990,6 @@ files = [
 name = "oauthlib"
 version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -4289,7 +4006,6 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 name = "omegaconf"
 version = "2.3.0"
 description = "A flexible configuration library"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -4298,63 +4014,54 @@ files = [
 ]
 
 [package.dependencies]
-antlr4-python3-runtime = ">=4.9.0,<4.10.0"
+antlr4-python3-runtime = "==4.9.*"
 PyYAML = ">=5.1.0"
 
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-version = "1.14.1"
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 ]
 
 [package.dependencies]
 numpy = "*"
 protobuf = ">=3.20.2"
-typing-extensions = ">=3.6.2.1"
 
 [package.extras]
-lint = ["lintrunner (>=0.10.0)", "lintrunner-adapters (>=0.3)"]
+reference = ["Pillow", "google-re2"]
 
 [[package]]
 name = "onnx-tf"
 version = "1.10.0"
 description = "Tensorflow backend for ONNX (Open Neural Network Exchange)."
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -4369,36 +4076,35 @@ tensorflow-addons = "*"
 
 [[package]]
 name = "onnxruntime"
-version = "1.15.1"
+version = "1.16.3"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -4411,63 +4117,58 @@ sympy = "*"
 
 [[package]]
 name = "opencv-python"
-version = "4.8.0.76"
+version = "4.8.1.78"
 description = "Wrapper package for OpenCV python bindings."
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\""},
-    {version = ">=1.19.3", markers = "python_version >= \"3.6\" and platform_system == \"Linux\" and platform_machine == \"aarch64\" or python_version >= \"3.9\""},
-    {version = ">=1.17.0", markers = "python_version >= \"3.7\""},
-    {version = ">=1.17.3", markers = "python_version >= \"3.8\""},
-    {version = ">=1.21.2", markers = "python_version >= \"3.10\""},
+    {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\" and python_version >= \"3.8\""},
     {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\""},
+    {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\""},
+    {version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
+    {version = ">=1.17.3", markers = "(platform_system != \"Darwin\" and platform_system != \"Linux\") and python_version >= \"3.8\" and python_version < \"3.9\" or platform_system != \"Darwin\" and python_version >= \"3.8\" and python_version < \"3.9\" and platform_machine != \"aarch64\" or platform_machine != \"arm64\" and python_version >= \"3.8\" and python_version < \"3.9\" and platform_system != \"Linux\" or (platform_machine != \"arm64\" and platform_machine != \"aarch64\") and python_version >= \"3.8\" and python_version < \"3.9\""},
 ]
 
 [[package]]
 name = "opencv-python-headless"
-version = "4.8.0.76"
+version = "4.8.1.78"
 description = "Wrapper package for OpenCV python bindings."
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
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 [[package]]
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 version = "3.1.2"
 description = "A Python library to read/write Excel 2010 xlsx/xlsm files"
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
@@ -4482,7 +4183,6 @@ et-xmlfile = "*"
 name = "optuna"
 version = "2.10.1"
 description = "A hyperparameter optimization framework"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -4514,108 +4214,80 @@ optional = ["bokeh (<2.0.0)", "matplotlib (>=3.0.0)", "pandas", "plotly (>=4.0.0
 testing = ["allennlp (>=2.2.0,<2.7.0)", "bokeh (<2.0.0)", "botorch (>=0.4.0)", "catalyst (>=21.3)", "chainer (>=5.0.0)", "cma", "fakeredis", "fastai", "lightgbm", "matplotlib (>=3.0.0)", "mlflow", "mpi4py", "mxnet", "pandas", "plotly (>=4.0.0)", "pytest", "pytorch-ignite", "pytorch-lightning (>=1.0.2)", "scikit-learn (>=0.24.2,<1.0.0)", "scikit-optimize", "skorch", "tensorflow", "tensorflow-datasets", "torch (==1.8.0)", "torch (==1.8.0+cpu)", "torchaudio (==0.8.0)", "torchvision (==0.9.0)", "torchvision (==0.9.0+cpu)", "xgboost"]
 tests = ["fakeredis", "pytest"]
 
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-
-[package.extras]
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-
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@@ -4661,14 +4333,13 @@ test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"]
 
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 [package.dependencies]
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@@ -4777,14 +4443,13 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
 
 [[package]]
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-version = "3.10.0"
+version = "3.11.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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 optional = false
 python-versions = ">=3.7"
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@@ -4795,7 +4460,6 @@ test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-co
 name = "pluggy"
 version = "1.3.0"
 description = "plugin and hook calling mechanisms for python"
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -4809,14 +4473,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "3.4.0"
+version = "3.5.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
-category = "dev"
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -4830,7 +4493,6 @@ virtualenv = ">=20.10.0"
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 version = "3.9.0"
 description = "A simple Python library for easily displaying tabular data in a visually appealing ASCII table format"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -4846,14 +4508,13 @@ tests = ["pytest", "pytest-cov", "pytest-lazy-fixture"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.39"
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 description = "Library for building powerful interactive command lines in Python"
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 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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 ]
 
 [package.dependencies]
@@ -5136,7 +4799,6 @@ email = ["email-validator (>=1.0.3)"]
 name = "pydoe"
 version = "0.3.8"
 description = "Design of experiments for Python"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -5151,7 +4813,6 @@ scipy = "*"
 name = "pydot"
 version = "1.4.2"
 description = "Python interface to Graphviz's Dot"
-category = "main"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -5166,7 +4827,6 @@ pyparsing = ">=2.1.4"
 name = "pyelftools"
 version = "0.30"
 description = "Library for analyzing ELF files and DWARF debugging information"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -5176,58 +4836,61 @@ files = [
 
 [[package]]
 name = "pygit2"
-version = "1.13.0"
+version = "1.13.3"
 description = "Python bindings for libgit2."
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
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+]
+
+[package.dependencies]
+cffi = ">=1.16.0"
 
 [[package]]
 name = "pygments"
-version = "2.16.1"
+version = "2.17.2"
 description = "Pygments is a syntax highlighting package written in Python."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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-    {file = "Pygments-2.16.1.tar.gz", hash = "sha256:1daff0494820c69bc8941e407aa20f577374ee88364ee10a98fdbe0aece96e29"},
+    {file = "pygments-2.17.2-py3-none-any.whl", hash = "sha256:b27c2826c47d0f3219f29554824c30c5e8945175d888647acd804ddd04af846c"},
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 ]
 
 [package.extras]
 plugins = ["importlib-metadata"]
+windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pygtrie"
 version = "2.5.0"
 description = "A pure Python trie data structure implementation."
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -5235,29 +4898,10 @@ files = [
     {file = "pygtrie-2.5.0.tar.gz", hash = "sha256:203514ad826eb403dab1d2e2ddd034e0d1534bbe4dbe0213bb0593f66beba4e2"},
 ]
 
-[[package]]
-name = "pyjwt"
-version = "2.8.0"
-description = "JSON Web Token implementation in Python"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "PyJWT-2.8.0-py3-none-any.whl", hash = "sha256:59127c392cc44c2da5bb3192169a91f429924e17aff6534d70fdc02ab3e04320"},
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-]
-
-[package.extras]
-crypto = ["cryptography (>=3.4.0)"]
-dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.4.0)", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
-docs = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
-tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
-
 [[package]]
 name = "pykwalify"
 version = "1.8.0"
 description = "Python lib/cli for JSON/YAML schema validation"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -5272,18 +4916,17 @@ python-dateutil = ">=2.8.0"
 
 [[package]]
 name = "pymdown-extensions"
-version = "10.3"
+version = "10.5"
 description = "Extension pack for Python Markdown."
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pymdown_extensions-10.3-py3-none-any.whl", hash = "sha256:77a82c621c58a83efc49a389159181d570e370fff9f810d3a4766a75fc678b66"},
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+    {file = "pymdown_extensions-10.5-py3-none-any.whl", hash = "sha256:1f0ca8bb5beff091315f793ee17683bc1390731f6ac4c5eb01e27464b80fe879"},
+    {file = "pymdown_extensions-10.5.tar.gz", hash = "sha256:1b60f1e462adbec5a1ed79dac91f666c9c0d241fa294de1989f29d20096cfd0b"},
 ]
 
 [package.dependencies]
-markdown = ">=3.2"
+markdown = ">=3.5"
 pyyaml = "*"
 
 [package.extras]
@@ -5293,7 +4936,6 @@ extra = ["pygments (>=2.12)"]
 name = "pyment"
 version = "0.3.3"
 description = "Generate/convert automatically the docstrings from code signature"
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -5305,7 +4947,6 @@ files = [
 name = "pynacl"
 version = "1.5.0"
 description = "Python binding to the Networking and Cryptography (NaCl) library"
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
@@ -5332,7 +4973,6 @@ tests = ["hypothesis (>=3.27.0)", "pytest (>=3.2.1,!=3.3.0)"]
 name = "pyparsing"
 version = "3.1.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
 optional = false
 python-versions = ">=3.6.8"
 files = [
@@ -5347,7 +4987,6 @@ diagrams = ["jinja2", "railroad-diagrams"]
 name = "pyperclip"
 version = "1.8.2"
 description = "A cross-platform clipboard module for Python. (Only handles plain text for now.)"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -5356,15 +4995,14 @@ files = [
 
 [[package]]
 name = "pyre-check"
-version = "0.9.18"
+version = "0.9.19"
 description = "A performant type checker for Python"
-category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pyre-check-0.9.18.tar.gz", hash = "sha256:d5eb6db9011a7207189ecd0eaf32951e46cb0769c0f96a78fd0b90e633c9df2c"},
-    {file = "pyre_check-0.9.18-py3-none-macosx_10_11_x86_64.whl", hash = "sha256:22633f5af3b986d266451a9e386a32414f8868de0a94226c7766f81eb080c59d"},
-    {file = "pyre_check-0.9.18-py3-none-manylinux1_x86_64.whl", hash = "sha256:5659d4dbd6d1dd3052359861d828419f07d1ced1dad4ce4ca79071d252699c26"},
+    {file = "pyre-check-0.9.19.tar.gz", hash = "sha256:0c6b24c9c0950588dab056a13f25322a76e302b575bee479a3ad738d74c4a135"},
+    {file = "pyre_check-0.9.19-py3-none-macosx_10_11_x86_64.whl", hash = "sha256:1189a5ce672684ed79929783e80483ed4ed958e4f94c8f6fbe2dae306f2fdf6a"},
+    {file = "pyre_check-0.9.19-py3-none-manylinux1_x86_64.whl", hash = "sha256:de580f56e6241d792ec3b164b557610023b40914f0506cf166189989e2d13d0c"},
 ]
 
 [package.dependencies]
@@ -5377,12 +5015,12 @@ pyre-extensions = ">=0.0.29"
 tabulate = "*"
 testslide = ">=2.7.0"
 typing-extensions = "*"
+typing-inspect = "*"
 
 [[package]]
 name = "pyre-extensions"
 version = "0.0.30"
 description = "Type system extensions for use with the pyre type checker"
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -5398,7 +5036,6 @@ typing-inspect = "*"
 name = "pyreadline3"
 version = "3.4.1"
 description = "A python implementation of GNU readline."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -5410,7 +5047,6 @@ files = [
 name = "pyserial"
 version = "3.5"
 description = "Python Serial Port Extension"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -5425,7 +5061,6 @@ cp2110 = ["hidapi"]
 name = "pysocks"
 version = "1.7.1"
 description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
-category = "main"
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -5436,14 +5071,13 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "7.4.2"
+version = "7.4.3"
 description = "pytest: simple powerful testing with Python"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pytest-7.4.2-py3-none-any.whl", hash = "sha256:1d881c6124e08ff0a1bb75ba3ec0bfd8b5354a01c194ddd5a0a870a48d99b002"},
-    {file = "pytest-7.4.2.tar.gz", hash = "sha256:a766259cfab564a2ad52cb1aae1b881a75c3eb7e34ca3779697c23ed47c47069"},
+    {file = "pytest-7.4.3-py3-none-any.whl", hash = "sha256:0d009c083ea859a71b76adf7c1d502e4bc170b80a8ef002da5806527b9591fac"},
+    {file = "pytest-7.4.3.tar.gz", hash = "sha256:d989d136982de4e3b29dabcc838ad581c64e8ed52c11fbe86ddebd9da0818cd5"},
 ]
 
 [package.dependencies]
@@ -5461,7 +5095,6 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
 name = "pytest-cov"
 version = "4.1.0"
 description = "Pytest plugin for measuring coverage."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -5478,14 +5111,13 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale
 
 [[package]]
 name = "pytest-xdist"
-version = "3.3.1"
+version = "3.5.0"
 description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pytest-xdist-3.3.1.tar.gz", hash = "sha256:d5ee0520eb1b7bcca50a60a518ab7a7707992812c578198f8b44fdfac78e8c93"},
-    {file = "pytest_xdist-3.3.1-py3-none-any.whl", hash = "sha256:ff9daa7793569e6a68544850fd3927cd257cc03a7ef76c95e86915355e82b5f2"},
+    {file = "pytest-xdist-3.5.0.tar.gz", hash = "sha256:cbb36f3d67e0c478baa57fa4edc8843887e0f6cfc42d677530a36d7472b32d8a"},
+    {file = "pytest_xdist-3.5.0-py3-none-any.whl", hash = "sha256:d075629c7e00b611df89f490a5063944bee7a4362a5ff11c7cc7824a03dfce24"},
 ]
 
 [package.dependencies]
@@ -5501,7 +5133,6 @@ testing = ["filelock"]
 name = "python-dateutil"
 version = "2.8.2"
 description = "Extensions to the standard Python datetime module"
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
@@ -5516,7 +5147,6 @@ six = ">=1.5"
 name = "python-dotenv"
 version = "0.10.5"
 description = "Add .env support to your django/flask apps in development and deployments"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -5527,44 +5157,15 @@ files = [
 [package.extras]
 cli = ["click (>=5.0)"]
 
-[[package]]
-name = "python-editor"
-version = "1.0.4"
-description = "Programmatically open an editor, capture the result."
-category = "main"
-optional = false
-python-versions = "*"
-files = [
-    {file = "python-editor-1.0.4.tar.gz", hash = "sha256:51fda6bcc5ddbbb7063b2af7509e43bd84bfc32a4ff71349ec7847713882327b"},
-    {file = "python_editor-1.0.4-py2-none-any.whl", hash = "sha256:5f98b069316ea1c2ed3f67e7f5df6c0d8f10b689964a4a811ff64f0106819ec8"},
-    {file = "python_editor-1.0.4-py3-none-any.whl", hash = "sha256:1bf6e860a8ad52a14c3ee1252d5dc25b2030618ed80c022598f00176adc8367d"},
-]
-
-[[package]]
-name = "python-multipart"
-version = "0.0.6"
-description = "A streaming multipart parser for Python"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "python_multipart-0.0.6-py3-none-any.whl", hash = "sha256:ee698bab5ef148b0a760751c261902cd096e57e10558e11aca17646b74ee1c18"},
-    {file = "python_multipart-0.0.6.tar.gz", hash = "sha256:e9925a80bb668529f1b67c7fdb0a5dacdd7cbfc6fb0bff3ea443fe22bdd62132"},
-]
-
-[package.extras]
-dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatch", "invoke (==1.7.3)", "more-itertools (==4.3.0)", "pbr (==4.3.0)", "pluggy (==1.0.0)", "py (==1.11.0)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-timeout (==2.1.0)", "pyyaml (==5.1)"]
-
 [[package]]
 name = "pytoolconfig"
-version = "1.2.5"
+version = "1.2.6"
 description = "Python tool configuration"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pytoolconfig-1.2.5-py3-none-any.whl", hash = "sha256:239ba9d3e537b91d0243275a497700ea39a5e259ddb80421c366e3b288bf30fe"},
-    {file = "pytoolconfig-1.2.5.tar.gz", hash = "sha256:a50f9dfe23b03a9d40414c1fdf902fefbeae12f2ac75a3c8f915944d6ffac279"},
+    {file = "pytoolconfig-1.2.6-py3-none-any.whl", hash = "sha256:e8b2e538f11dbabc4617884d45401e0105e2d7db920cb8ae6baa94d66126a8e3"},
+    {file = "pytoolconfig-1.2.6.tar.gz", hash = "sha256:f2d00ea4f8cbdffd3006780ba51016618c835b338f634e3f7f8b2715b1710889"},
 ]
 
 [package.dependencies]
@@ -5580,45 +5181,39 @@ validation = ["pydantic (>=1.7.4)"]
 
 [[package]]
 name = "pytorch-lightning"
-version = "1.9.5"
+version = "2.1.2"
 description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytorch-lightning-1.9.5.tar.gz", hash = "sha256:925fe7b80ddf04859fa385aa493b260be4000b11a2f22447afb4a932d1f07d26"},
-    {file = "pytorch_lightning-1.9.5-py3-none-any.whl", hash = "sha256:06821558158623c5d2ecf5d3d0374dc8bd661e0acd3acf54a6d6f71737c156c5"},
+    {file = "pytorch-lightning-2.1.2.tar.gz", hash = "sha256:58e26406215f3bfafe1b9b5b4bf37c9b8cff16494f7fd60e4db1ae37461b2b28"},
+    {file = "pytorch_lightning-2.1.2-py3-none-any.whl", hash = "sha256:8cf4a45f74e11f8ef3ad46bebb4a621eca7a990826226390767f948e86fff542"},
 ]
 
 [package.dependencies]
 fsspec = {version = ">2021.06.0", extras = ["http"]}
-lightning-utilities = ">=0.6.0.post0"
+lightning-utilities = ">=0.8.0"
 numpy = ">=1.17.2"
-packaging = ">=17.1"
+packaging = ">=20.0"
 PyYAML = ">=5.4"
-torch = ">=1.10.0"
+torch = ">=1.12.0"
 torchmetrics = ">=0.7.0"
 tqdm = ">=4.57.0"
 typing-extensions = ">=4.0.0"
 
 [package.extras]
-all = ["colossalai (>=0.2.0)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "gym[classic-control] (>=0.17.0)", "hivemind (==1.1.5)", "horovod (>=0.21.2,!=0.24.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.7.1)", "jsonargparse[signatures] (>=4.18.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=10.14.0,!=10.15.0.a)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.11.1)"]
-colossalai = ["colossalai (>=0.2.0)"]
-deepspeed = ["deepspeed (>=0.6.0)"]
-dev = ["cloudpickle (>=1.3)", "codecov (==2.1.12)", "colossalai (>=0.2.0)", "coverage (==6.5.0)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "fastapi (<0.87.0)", "gym[classic-control] (>=0.17.0)", "hivemind (==1.1.5)", "horovod (>=0.21.2,!=0.24.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.7.1)", "jsonargparse[signatures] (>=4.18.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnx (<1.14.0)", "onnxruntime (<1.14.0)", "pandas (>1.0)", "pre-commit (==2.20.0)", "protobuf (<=3.20.1)", "psutil (<5.9.5)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.11.1)", "uvicorn (<0.19.1)"]
-examples = ["gym[classic-control] (>=0.17.0)", "ipython[all] (<8.7.1)", "torchmetrics (>=0.10.0)", "torchvision (>=0.11.1)"]
-extra = ["hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.18.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=10.14.0,!=10.15.0.a)", "tensorboardX (>=2.2)"]
-fairscale = ["fairscale (>=0.4.5)"]
-hivemind = ["hivemind (==1.1.5)"]
-horovod = ["horovod (>=0.21.2,!=0.24.0)"]
-strategies = ["colossalai (>=0.2.0)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "hivemind (==1.1.5)", "horovod (>=0.21.2,!=0.24.0)"]
-test = ["cloudpickle (>=1.3)", "codecov (==2.1.12)", "coverage (==6.5.0)", "fastapi (<0.87.0)", "onnx (<1.14.0)", "onnxruntime (<1.14.0)", "pandas (>1.0)", "pre-commit (==2.20.0)", "protobuf (<=3.20.1)", "psutil (<5.9.5)", "pytest (==7.2.0)", "pytest-cov (==4.0.0)", "pytest-forked (==1.4.0)", "pytest-rerunfailures (==10.3)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn (<0.19.1)"]
+all = ["bitsandbytes (<=0.41.1)", "deepspeed (>=0.8.2,<=0.9.3)", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.18.0)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.13.0)"]
+deepspeed = ["deepspeed (>=0.8.2,<=0.9.3)"]
+dev = ["bitsandbytes (<=0.41.1)", "cloudpickle (>=1.3)", "coverage (==7.3.1)", "deepspeed (>=0.8.2,<=0.9.3)", "fastapi", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.18.0)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "onnx (>=0.14.0)", "onnxruntime (>=0.15.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "rich (>=12.3.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.13.0)", "uvicorn"]
+examples = ["gym[classic-control] (>=0.17.0)", "ipython[all] (<8.15.0)", "lightning-utilities (>=0.8.0)", "torchmetrics (>=0.10.0)", "torchvision (>=0.13.0)"]
+extra = ["bitsandbytes (<=0.41.1)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.18.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=12.3.0)", "tensorboardX (>=2.2)"]
+strategies = ["deepspeed (>=0.8.2,<=0.9.3)"]
+test = ["cloudpickle (>=1.3)", "coverage (==7.3.1)", "fastapi", "onnx (>=0.14.0)", "onnxruntime (>=0.15.0)", "pandas (>1.0)", "psutil (<5.9.6)", "pytest (==7.4.0)", "pytest-cov (==4.1.0)", "pytest-random-order (==1.1.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "scikit-learn (>0.22.1)", "tensorboard (>=2.9.1)", "uvicorn"]
 
 [[package]]
 name = "pytz"
 version = "2023.3.post1"
 description = "World timezone definitions, modern and historical"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -5630,7 +5225,6 @@ files = [
 name = "pyusb"
 version = "1.2.1"
 description = "Python USB access module"
-category = "main"
 optional = true
 python-versions = ">=3.6.0"
 files = [
@@ -5642,7 +5236,6 @@ files = [
 name = "pyvcd"
 version = "0.4.0"
 description = "Python VCD file support"
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
@@ -5654,7 +5247,6 @@ files = [
 name = "pywavelets"
 version = "1.4.1"
 description = "PyWavelets, wavelet transform module"
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
@@ -5692,7 +5284,6 @@ numpy = ">=1.17.3"
 name = "pywin32"
 version = "306"
 description = "Python for Window Extensions"
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -5716,7 +5307,6 @@ files = [
 name = "pywin32-ctypes"
 version = "0.2.2"
 description = "A (partial) reimplementation of pywin32 using ctypes/cffi"
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
@@ -5728,7 +5318,6 @@ files = [
 name = "pyyaml"
 version = "6.0.1"
 description = "YAML parser and emitter for Python"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -5778,7 +5367,6 @@ files = [
 name = "pyyaml-env-tag"
 version = "0.1"
 description = "A custom YAML tag for referencing environment variables in YAML files. "
-category = "dev"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -5793,7 +5381,6 @@ pyyaml = "*"
 name = "qudida"
 version = "0.0.4"
 description = "QUick and DIrty Domain Adaptation"
-category = "main"
 optional = true
 python-versions = ">=3.5.0"
 files = [
@@ -5807,26 +5394,10 @@ opencv-python-headless = ">=4.0.1"
 scikit-learn = ">=0.19.1"
 typing-extensions = "*"
 
-[[package]]
-name = "readchar"
-version = "4.0.5"
-description = "Library to easily read single chars and key strokes"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "readchar-4.0.5-py3-none-any.whl", hash = "sha256:76ec784a5dd2afac3b7da8003329834cdd9824294c260027f8c8d2e4d0a78f43"},
-    {file = "readchar-4.0.5.tar.gz", hash = "sha256:08a456c2d7c1888cde3f4688b542621b676eb38cd6cfed7eb6cb2e2905ddc826"},
-]
-
-[package.dependencies]
-setuptools = ">=41.0"
-
 [[package]]
 name = "requests"
 version = "2.31.0"
 description = "Python HTTP for Humans."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -5849,7 +5420,6 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 name = "requests-oauthlib"
 version = "1.3.1"
 description = "OAuthlib authentication support for Requests."
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
@@ -5866,14 +5436,13 @@ rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
 
 [[package]]
 name = "rich"
-version = "13.5.2"
+version = "13.7.0"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
-category = "main"
-optional = false
+optional = true
 python-versions = ">=3.7.0"
 files = [
-    {file = "rich-13.5.2-py3-none-any.whl", hash = "sha256:146a90b3b6b47cac4a73c12866a499e9817426423f57c5a66949c086191a8808"},
-    {file = "rich-13.5.2.tar.gz", hash = "sha256:fb9d6c0a0f643c99eed3875b5377a184132ba9be4d61516a55273d3554d75a39"},
+    {file = "rich-13.7.0-py3-none-any.whl", hash = "sha256:6da14c108c4866ee9520bbffa71f6fe3962e193b7da68720583850cd4548e235"},
+    {file = "rich-13.7.0.tar.gz", hash = "sha256:5cb5123b5cf9ee70584244246816e9114227e0b98ad9176eede6ad54bf5403fa"},
 ]
 
 [package.dependencies]
@@ -5886,14 +5455,13 @@ jupyter = ["ipywidgets (>=7.5.1,<9)"]
 
 [[package]]
 name = "rope"
-version = "1.9.0"
+version = "1.11.0"
 description = "a python refactoring library..."
-category = "dev"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "rope-1.9.0-py3-none-any.whl", hash = "sha256:2ed32d72cd2c4395bb1d569e38fd4f15d6080cfadd61b6e5c565fd39e3f677aa"},
-    {file = "rope-1.9.0.tar.gz", hash = "sha256:f48d708132c0e062b411308732ca13933b976486b4b53d1e804f94ed08d69503"},
+    {file = "rope-1.11.0-py3-none-any.whl", hash = "sha256:62c9028353d1f020653bd1b090d659031539842ede6bd65985f86db3d6430932"},
+    {file = "rope-1.11.0.tar.gz", hash = "sha256:ac0cbdcda5a546e1e56c54976df07ea2cb04c806f65459bc213536c5d1bc073e"},
 ]
 
 [package.dependencies]
@@ -5908,7 +5476,6 @@ release = ["pip-tools (>=6.12.1)", "toml (>=0.10.2)", "twine (>=4.0.2)"]
 name = "rsa"
 version = "4.9"
 description = "Pure-Python RSA implementation"
-category = "dev"
 optional = false
 python-versions = ">=3.6,<4"
 files = [
@@ -5921,74 +5488,85 @@ pyasn1 = ">=0.1.3"
 
 [[package]]
 name = "ruamel-yaml"
-version = "0.17.32"
+version = "0.17.40"
 description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order"
-category = "main"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "ruamel.yaml-0.17.32-py3-none-any.whl", hash = "sha256:23cd2ed620231677564646b0c6a89d138b6822a0d78656df7abda5879ec4f447"},
-    {file = "ruamel.yaml-0.17.32.tar.gz", hash = "sha256:ec939063761914e14542972a5cba6d33c23b0859ab6342f61cf070cfc600efc2"},
+    {file = "ruamel.yaml-0.17.40-py3-none-any.whl", hash = "sha256:b16b6c3816dff0a93dca12acf5e70afd089fa5acb80604afd1ffa8b465b7722c"},
+    {file = "ruamel.yaml-0.17.40.tar.gz", hash = "sha256:6024b986f06765d482b5b07e086cc4b4cd05dd22ddcbc758fa23d54873cf313d"},
 ]
 
 [package.dependencies]
-"ruamel.yaml.clib" = {version = ">=0.2.7", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.12\""}
+"ruamel.yaml.clib" = {version = ">=0.2.7", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.13\""}
 
 [package.extras]
-docs = ["ryd"]
+docs = ["mercurial (>5.7)", "ryd"]
 jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"]
 
 [[package]]
 name = "ruamel-yaml-clib"
-version = "0.2.7"
+version = "0.2.8"
 description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml"
-category = "main"
 optional = true
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
-    {file = "ruamel.yaml.clib-0.2.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d5859983f26d8cd7bb5c287ef452e8aacc86501487634573d260968f753e1d71"},
-    {file = "ruamel.yaml.clib-0.2.7-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:debc87a9516b237d0466a711b18b6ebeb17ba9f391eb7f91c649c5c4ec5006c7"},
-    {file = "ruamel.yaml.clib-0.2.7-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:df5828871e6648db72d1c19b4bd24819b80a755c4541d3409f0f7acd0f335c80"},
-    {file = "ruamel.yaml.clib-0.2.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:efa08d63ef03d079dcae1dfe334f6c8847ba8b645d08df286358b1f5293d24ab"},
-    {file = "ruamel.yaml.clib-0.2.7-cp310-cp310-win32.whl", hash = "sha256:763d65baa3b952479c4e972669f679fe490eee058d5aa85da483ebae2009d231"},
-    {file = "ruamel.yaml.clib-0.2.7-cp310-cp310-win_amd64.whl", hash = "sha256:d000f258cf42fec2b1bbf2863c61d7b8918d31ffee905da62dede869254d3b8a"},
-    {file = "ruamel.yaml.clib-0.2.7-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:045e0626baf1c52e5527bd5db361bc83180faaba2ff586e763d3d5982a876a9e"},
-    {file = "ruamel.yaml.clib-0.2.7-cp311-cp311-macosx_12_6_arm64.whl", hash = "sha256:721bc4ba4525f53f6a611ec0967bdcee61b31df5a56801281027a3a6d1c2daf5"},
-    {file = "ruamel.yaml.clib-0.2.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:41d0f1fa4c6830176eef5b276af04c89320ea616655d01327d5ce65e50575c94"},
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 [[package]]
 name = "scikit-image"
 version = "0.21.0"
 description = "Image processing in Python"
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
@@ -6036,38 +5614,42 @@ test = ["asv", "matplotlib (>=3.5)", "pooch (>=1.6.0)", "pytest (>=7.0)", "pytes
 
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 optional = false
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 ]
 
 [package.dependencies]
 joblib = ">=1.1.1"
-numpy = ">=1.17.3"
+numpy = ">=1.17.3,<2.0"
 scipy = ">=1.5.0"
 threadpoolctl = ">=2.0.0"
 
@@ -6081,7 +5663,6 @@ tests = ["black (>=23.3.0)", "matplotlib (>=3.1.3)", "mypy (>=1.3)", "numpydoc (
 name = "scipy"
 version = "1.10.1"
 description = "Fundamental algorithms for scientific computing in Python"
-category = "main"
 optional = false
 python-versions = "<3.12,>=3.8"
 files = [
@@ -6118,36 +5699,36 @@ test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeo
 
 [[package]]
 name = "scmrepo"
-version = "1.3.1"
-description = "SCM wrapper and fsspec filesystem for Git for use in DVC"
-category = "main"
+version = "2.0.2"
+description = "scmrepo"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 asyncssh = ">=2.13.1,<3"
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+dulwich = ">=0.21.6"
+dvc-http = ">=2.29.0"
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 fsspec = ">=2021.7.0"
 funcy = ">=1.14"
 gitpython = ">3"
 pathspec = ">=0.9.0"
-pygit2 = ">=1.10.0"
+pygit2 = ">=1.13.3"
 pygtrie = ">=2.3.2"
 shortuuid = ">=0.5.0"
 
 [package.extras]
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+dev = ["scmrepo[tests]"]
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 [[package]]
 name = "seaborn"
 version = "0.11.2"
 description = "seaborn: statistical data visualization"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -6165,7 +5746,6 @@ scipy = ">=1.0"
 name = "secretstorage"
 version = "3.3.3"
 description = "Python bindings to FreeDesktop.org Secret Service API"
-category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
@@ -6177,86 +5757,112 @@ files = [
 cryptography = ">=2.0"
 jeepney = ">=0.6"
 
+[[package]]
+name = "semver"
+version = "3.0.2"
+description = "Python helper for Semantic Versioning (https://semver.org)"
+optional = true
+python-versions = ">=3.7"
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+]
+
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-version = "1.3.2"
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-category = "main"
 optional = true
 python-versions = ">=3.7"
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 [package.extras]
@@ -6264,48 +5870,24 @@ test = ["pytest"]
 
 [[package]]
 name = "setuptools"
-version = "68.2.2"
+version = "69.0.2"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.extras]
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+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
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-version = "7.1.0"
-description = "the blessed package to manage your versions by scm tags"
-category = "main"
-optional = false
-python-versions = ">=3.7"
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-
-[package.extras]
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 [[package]]
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 version = "1.0.11"
 description = "A generator library for concise, unambiguous and URL-safe UUIDs."
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 optional = true
 python-versions = ">=3.5"
 files = [
@@ -6315,14 +5897,13 @@ files = [
 
 [[package]]
 name = "shtab"
-version = "1.6.4"
+version = "1.6.5"
 description = "Automagic shell tab completion for Python CLI applications"
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -6332,7 +5913,6 @@ dev = ["pytest (>=6)", "pytest-cov", "pytest-timeout"]
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 version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 files = [
@@ -6342,21 +5922,19 @@ files = [
 
 [[package]]
 name = "smmap"
-version = "5.0.0"
+version = "5.0.1"
 description = "A pure Python implementation of a sliding window memory map manager"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
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 [[package]]
 name = "smmap2"
 version = "3.0.1"
 description = "A mirror package for smmap"
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 optional = false
 python-versions = "*"
 files = [
@@ -6367,23 +5945,10 @@ files = [
 [package.dependencies]
 smmap = ">=3.0.1"
 
-[[package]]
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-version = "1.3.0"
-description = "Sniff out which async library your code is running under"
-category = "main"
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 [[package]]
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 description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
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 python-versions = "*"
 files = [
@@ -6395,7 +5960,6 @@ files = [
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 version = "0.10.3.post1"
 description = "An audio library based on libsndfile, CFFI and NumPy"
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 optional = false
 python-versions = "*"
 files = [
@@ -6416,8 +5980,7 @@ numpy = ["numpy"]
 name = "soupsieve"
 version = "2.5"
 description = "A modern CSS selector implementation for Beautiful Soup."
-category = "main"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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@@ -6426,53 +5989,60 @@ files = [
 
 [[package]]
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+version = "2.0.23"
 description = "Database Abstraction Library"
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 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -6481,6 +6051,7 @@ typing-extensions = ">=4.2.0"
 
 [package.extras]
 aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
+aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
 aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
@@ -6491,7 +6062,7 @@ mssql-pyodbc = ["pyodbc"]
 mypy = ["mypy (>=0.910)"]
 mysql = ["mysqlclient (>=1.4.0)"]
 mysql-connector = ["mysql-connector-python"]
-oracle = ["cx-oracle (>=7)"]
+oracle = ["cx-oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
 postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
@@ -6505,14 +6076,13 @@ sqlcipher = ["sqlcipher3-binary"]
 
 [[package]]
 name = "sqltrie"
-version = "0.7.0"
+version = "0.10.0"
 description = "SQL-based prefix tree inspired by pygtrie and python-diskcache"
-category = "main"
 optional = true
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -6521,52 +6091,13 @@ orjson = {version = "*", markers = "implementation_name == \"cpython\""}
 pygtrie = "*"
 
 [package.extras]
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-
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-version = "0.31.1"
-description = "The little ASGI library that shines."
-category = "main"
-optional = false
-python-versions = ">=3.8"
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-
-[package.extras]
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-
-[[package]]
-name = "starsessions"
-version = "1.3.0"
-description = "Pluggable session support for Starlette."
-category = "main"
-optional = false
-python-versions = ">=3.6.2,<4.0.0"
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-]
-
-[package.dependencies]
-itsdangerous = ">=2.0.1,<3.0.0"
-starlette = ">=0,<1"
-
-[package.extras]
-redis = ["aioredis (>=2.0.0,<3.0.0)"]
+dev = ["sqltrie[tests]"]
+tests = ["mypy (==0.971)", "pyinstaller", "pytest (==7.2.0)", "pytest-benchmark", "pytest-cov (==3.0.0)", "pytest-mock (==3.8.2)", "pytest-sugar (==0.9.5)"]
 
 [[package]]
 name = "stevedore"
 version = "5.1.0"
 description = "Manage dynamic plugins for Python applications"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -6579,14 +6110,13 @@ pbr = ">=2.0.0,<2.1.0 || >2.1.0"
 
 [[package]]
 name = "submitit"
-version = "1.4.5"
-description = "\"Python 3.6+ toolbox for submitting jobs to Slurm"
-category = "main"
+version = "1.5.1"
+description = "\"Python 3.8+ toolbox for submitting jobs to Slurm"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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+    {file = "submitit-1.5.1-py3-none-any.whl", hash = "sha256:c62f3d50bf5070f89b94d79d83d1dca260eefd22a5b3a97eb1f3cd6a5a7b771c"},
+    {file = "submitit-1.5.1.tar.gz", hash = "sha256:a08016daefb188420fb32412f627e2029a1a2d7484a55afe6b1892ff31928626"},
 ]
 
 [package.dependencies]
@@ -6594,13 +6124,12 @@ cloudpickle = ">=1.2.1"
 typing_extensions = ">=3.7.4.2"
 
 [package.extras]
-dev = ["black (==22.3.0)", "coverage[toml] (>=5.1)", "flit (>=3.5.1)", "isort (==5.5.3)", "mypy (>=0.971)", "pre-commit (>=1.15.2)", "pylint (>=2.14.0)", "pytest (>=4.3.0)", "pytest-asyncio (>=0.15.0)", "pytest-cov (>=2.6.1)", "types-pkg_resources (>=0.1.2)"]
+dev = ["black (==23.3.0)", "coverage[toml] (>=5.1)", "flit (>=3.5.1)", "isort (==5.11.5)", "mypy (>=1.4.1)", "pre-commit (>=1.15.2)", "pylint (>=3.0.0)", "pytest (>=7.4.2)", "pytest-asyncio (>=0.15.0)", "pytest-cov (>=4.1.0)", "types-pkg_resources (>=0.1.2)"]
 
 [[package]]
 name = "sympy"
 version = "1.12"
 description = "Computer algebra system (CAS) in Python"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -6615,7 +6144,6 @@ mpmath = ">=0.19"
 name = "tabulate"
 version = "0.8.10"
 description = "Pretty-print tabular data"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
@@ -6630,7 +6158,6 @@ widechars = ["wcwidth"]
 name = "tensorboard"
 version = "2.14.0"
 description = "TensorBoard lets you watch Tensors Flow"
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -6653,41 +6180,32 @@ wheel = ">=0.26"
 
 [[package]]
 name = "tensorboard-data-server"
-version = "0.7.1"
+version = "0.7.2"
 description = "Fast data loading for TensorBoard"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "tensorboard_data_server-0.7.2-py3-none-any.whl", hash = "sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb"},
+    {file = "tensorboard_data_server-0.7.2-py3-none-macosx_10_9_x86_64.whl", hash = "sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60"},
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 ]
 
 [[package]]
 name = "tensorflow-addons"
-version = "0.21.0"
+version = "0.23.0"
 description = "TensorFlow Addons."
-category = "main"
 optional = true
 python-versions = "*"
 files = [
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+    {file = "tensorflow_addons-0.23.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:591b1c38cfe170727746a60983157ecbdef6a7062dfea8988558e1ab885b513a"},
+    {file = "tensorflow_addons-0.23.0-cp39-cp39-macosx_10_14_x86_64.whl", hash = "sha256:80fd9f129692d8f362fc7b58865799b1262fd179cd4ecc43f138cc719354204f"},
+    {file = "tensorflow_addons-0.23.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:032fd58e47aadfcbfc77e30907d08bb41bcc2d17ed90e7fe7cb88a751ef6dda0"},
+    {file = "tensorflow_addons-0.23.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:56f770f7989bf64715dd6e53b23cc2c0ffd91df8d9ee700bb24b3bb1e0b2ea02"},
 ]
 
 [package.dependencies]
@@ -6695,15 +6213,14 @@ packaging = "*"
 typeguard = ">=2.7,<3.0.0"
 
 [package.extras]
-tensorflow = ["tensorflow (>=2.11.0,<2.14.0)"]
-tensorflow-cpu = ["tensorflow-cpu (>=2.11.0,<2.14.0)"]
-tensorflow-gpu = ["tensorflow-gpu (>=2.11.0,<2.14.0)"]
+tensorflow = ["tensorflow (>=2.13.0,<2.16.0)"]
+tensorflow-cpu = ["tensorflow-cpu (>=2.13.0,<2.16.0)"]
+tensorflow-gpu = ["tensorflow-gpu (>=2.13.0,<2.16.0)"]
 
 [[package]]
 name = "testslide"
 version = "2.7.1"
 description = "A test framework for Python that makes mocking and iterating over code with tests a breeze"
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -6722,7 +6239,6 @@ build = ["black", "coverage", "coveralls", "flake8", "ipython", "isort (>=5.1,<6
 name = "threadpoolctl"
 version = "3.2.0"
 description = "threadpoolctl"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -6734,7 +6250,6 @@ files = [
 name = "tifffile"
 version = "2023.7.10"
 description = "Read and write TIFF files"
-category = "main"
 optional = true
 python-versions = ">=3.8"
 files = [
@@ -6752,7 +6267,6 @@ all = ["defusedxml", "fsspec", "imagecodecs (>=2023.1.23)", "lxml", "matplotlib"
 name = "timm"
 version = "0.6.13"
 description = "(Unofficial) PyTorch Image Models"
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
@@ -6770,7 +6284,6 @@ torchvision = "*"
 name = "tomli"
 version = "2.0.1"
 description = "A lil' TOML parser"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -6780,21 +6293,19 @@ files = [
 
 [[package]]
 name = "tomlkit"
-version = "0.12.1"
+version = "0.12.3"
 description = "Style preserving TOML library"
-category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "tomlkit-0.12.1-py3-none-any.whl", hash = "sha256:712cbd236609acc6a3e2e97253dfc52d4c2082982a88f61b640ecf0817eab899"},
-    {file = "tomlkit-0.12.1.tar.gz", hash = "sha256:38e1ff8edb991273ec9f6181244a6a391ac30e9f5098e7535640ea6be97a7c86"},
+    {file = "tomlkit-0.12.3-py3-none-any.whl", hash = "sha256:b0a645a9156dc7cb5d3a1f0d4bab66db287fcb8e0430bdd4664a095ea16414ba"},
+    {file = "tomlkit-0.12.3.tar.gz", hash = "sha256:75baf5012d06501f07bee5bf8e801b9f343e7aac5a92581f20f80ce632e6b5a4"},
 ]
 
 [[package]]
 name = "torch"
 version = "2.0.0"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
-category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
@@ -6848,14 +6359,13 @@ opt-einsum = ["opt-einsum (>=3.3)"]
 
 [[package]]
 name = "torch-tb-profiler"
-version = "0.4.1"
+version = "0.4.3"
 description = "PyTorch Profiler TensorBoard Plugin"
-category = "dev"
 optional = false
 python-versions = ">=3.6.2"
 files = [
-    {file = "torch_tb_profiler-0.4.1-py3-none-any.whl", hash = "sha256:df7428ce5564e8357d0d03c0f246398c448fc8cd91b3075370ca5c25defbc635"},
-    {file = "torch_tb_profiler-0.4.1.tar.gz", hash = "sha256:f2c7fb27d420be443ffde50ada655c19f76a245d21e7772de753196fd0967685"},
+    {file = "torch_tb_profiler-0.4.3-py3-none-any.whl", hash = "sha256:207a49b05572dd983e4ab29eb5e0fcadd60374a8f93c78ec638217e8d18788dc"},
+    {file = "torch_tb_profiler-0.4.3.tar.gz", hash = "sha256:8b8d29b2de960b3c4423087b23cec29beaf9ac3a8c7b046c18fd25b218f726b1"},
 ]
 
 [package.dependencies]
@@ -6865,13 +6375,13 @@ tensorboard = ">=1.15,<2.1.0 || >2.1.0"
 [package.extras]
 blob = ["azure-storage-blob"]
 gs = ["google-cloud-storage"]
+hdfs = ["fsspec", "pyarrow"]
 s3 = ["boto3"]
 
 [[package]]
 name = "torchaudio"
 version = "2.0.1"
 description = "An audio package for PyTorch"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -6898,39 +6408,38 @@ torch = "2.0.0"
 
 [[package]]
 name = "torchmetrics"
-version = "1.1.2"
+version = "1.2.1"
 description = "PyTorch native Metrics"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "torchmetrics-1.1.2-py3-none-any.whl", hash = "sha256:19538ccf2a8556233ffc29ca288bd65a3532c49dc9b66feb8c201198b34f9504"},
-    {file = "torchmetrics-1.1.2.tar.gz", hash = "sha256:44b01d3c7ca6aa925ac888adff0b0b7c2b2194ff662cf58eb6e05e0e8eb51b00"},
+    {file = "torchmetrics-1.2.1-py3-none-any.whl", hash = "sha256:fe03a8c53d0ae5800d34ea615f56295fda281282cd83f647d2184e81c1d4efee"},
+    {file = "torchmetrics-1.2.1.tar.gz", hash = "sha256:217387738f84939c39b534b20d4983e737cc448d27aaa5340e0327948d97ca3e"},
 ]
 
 [package.dependencies]
 lightning-utilities = ">=0.8.0"
 numpy = ">1.20.0"
+packaging = ">17.1"
 torch = ">=1.8.1"
 typing-extensions = {version = "*", markers = "python_version < \"3.9\""}
 
 [package.extras]
-all = ["SciencePlots (>=2.0.0)", "lpips (<=0.1.4)", "matplotlib (>=3.2.0)", "mypy (==1.5.1)", "nltk (>=3.6)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "regex (>=2021.9.24)", "scipy (>1.0.0)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+-tests = ["bert-score (==0.3.13)", "dython (<=0.7.4)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.3.3)", "huggingface-hub (<0.20)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "lpips (<=0.1.4)", "mir-eval (>=0.6)", "netcal (>1.0.0)", "numpy (<1.25.0)", "pandas (>1.0.0)", "pandas (>=1.4.0)", "pytorch-msssim (==1.0.0)", "rouge-score (>0.1.0)", "sacrebleu (>=2.0.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch-complex (<=0.4.3)"]
+all = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.2.0)", "mypy (==1.7.1)", "nltk (>=3.6)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "regex (>=2021.9.24)", "scipy (>1.0.0)", "torch (==2.1.1)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
 audio = ["pystoi (>=0.3.0)", "torchaudio (>=0.10.0)"]
 detection = ["pycocotools (>2.0.0)", "torchvision (>=0.8)"]
-dev = ["SciencePlots (>=2.0.0)", "bert-score (==0.3.13)", "cloudpickle (>1.3)", "coverage (==7.3.0)", "dython (<=0.7.4)", "fairlearn", "fast-bss-eval (>=0.1.0)", "fire (<=0.5.0)", "huggingface-hub (<0.16)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "lpips (<=0.1.4)", "matplotlib (>=3.2.0)", "mir-eval (>=0.6)", "mypy (==1.5.1)", "netcal (>1.0.0)", "nltk (>=3.6)", "numpy (<1.25.0)", "pandas (>1.0.0)", "pandas (>=1.4.0)", "phmdoctest (==1.4.0)", "piq (<=0.8.0)", "psutil (<=5.9.5)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "pytest (==7.4.1)", "pytest-cov (==4.1.0)", "pytest-doctestplus (==1.0.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "requests (<=2.31.0)", "rouge-score (>0.1.0)", "sacrebleu (>=2.0.0)", "scikit-image (>=0.19.0)", "scikit-learn (>=1.1.1)", "scipy (>1.0.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch-complex (<=0.4.3)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
-image = ["lpips (<=0.1.4)", "scipy (>1.0.0)", "torch-fidelity (<=0.4.0)", "torchvision (>=0.8)"]
+dev = ["SciencePlots (>=2.0.0)", "bert-score (==0.3.13)", "dython (<=0.7.4)", "fairlearn", "fast-bss-eval (>=0.1.0)", "faster-coco-eval (>=1.3.3)", "huggingface-hub (<0.20)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "lpips (<=0.1.4)", "matplotlib (>=3.2.0)", "mir-eval (>=0.6)", "mypy (==1.7.1)", "netcal (>1.0.0)", "nltk (>=3.6)", "numpy (<1.25.0)", "pandas (>1.0.0)", "pandas (>=1.4.0)", "piq (<=0.8.0)", "pycocotools (>2.0.0)", "pystoi (>=0.3.0)", "pytorch-msssim (==1.0.0)", "regex (>=2021.9.24)", "rouge-score (>0.1.0)", "sacrebleu (>=2.0.0)", "scikit-image (>=0.19.0)", "scipy (>1.0.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch (==2.1.1)", "torch-complex (<=0.4.3)", "torch-fidelity (<=0.4.0)", "torchaudio (>=0.10.0)", "torchvision (>=0.8)", "tqdm (>=4.41.0)", "transformers (>4.4.0)", "transformers (>=4.10.0)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+image = ["scipy (>1.0.0)", "torch-fidelity (<=0.4.0)", "torchvision (>=0.8)"]
 multimodal = ["piq (<=0.8.0)", "transformers (>=4.10.0)"]
-test = ["bert-score (==0.3.13)", "cloudpickle (>1.3)", "coverage (==7.3.0)", "dython (<=0.7.4)", "fairlearn", "fast-bss-eval (>=0.1.0)", "fire (<=0.5.0)", "huggingface-hub (<0.16)", "jiwer (>=2.3.0)", "kornia (>=0.6.7)", "mir-eval (>=0.6)", "netcal (>1.0.0)", "numpy (<1.25.0)", "pandas (>1.0.0)", "pandas (>=1.4.0)", "phmdoctest (==1.4.0)", "psutil (<=5.9.5)", "pytest (==7.4.1)", "pytest-cov (==4.1.0)", "pytest-doctestplus (==1.0.0)", "pytest-rerunfailures (==12.0)", "pytest-timeout (==2.1.0)", "pytorch-msssim (==1.0.0)", "requests (<=2.31.0)", "rouge-score (>0.1.0)", "sacrebleu (>=2.0.0)", "scikit-image (>=0.19.0)", "scikit-learn (>=1.1.1)", "scipy (>1.0.0)", "sewar (>=0.4.4)", "statsmodels (>0.13.5)", "torch-complex (<=0.4.3)"]
 text = ["nltk (>=3.6)", "regex (>=2021.9.24)", "tqdm (>=4.41.0)", "transformers (>4.4.0)"]
-typing = ["mypy (==1.5.1)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
+typing = ["mypy (==1.7.1)", "torch (==2.1.1)", "types-PyYAML", "types-emoji", "types-protobuf", "types-requests", "types-setuptools", "types-six", "types-tabulate"]
 visual = ["SciencePlots (>=2.0.0)", "matplotlib (>=3.2.0)"]
 
 [[package]]
 name = "torchvision"
 version = "0.15.1"
 description = "image and video datasets and models for torch deep learning"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -6954,7 +6463,7 @@ files = [
 
 [package.dependencies]
 numpy = "*"
-pillow = ">=5.3.0,<8.3.0 || >=8.4.0"
+pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
 requests = "*"
 torch = "2.0.0"
 
@@ -6963,30 +6472,28 @@ scipy = ["scipy"]
 
 [[package]]
 name = "tornado"
-version = "6.3.3"
+version = "6.4"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
-category = "main"
 optional = true
 python-versions = ">= 3.8"
 files = [
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-    {file = "tornado-6.3.3-cp38-abi3-win32.whl", hash = "sha256:65ceca9500383fbdf33a98c0087cb975b2ef3bfb874cb35b8de8740cf7f41bd3"},
-    {file = "tornado-6.3.3-cp38-abi3-win_amd64.whl", hash = "sha256:22d3c2fa10b5793da13c807e6fc38ff49a4f6e1e3868b0a6f4164768bb8e20f5"},
-    {file = "tornado-6.3.3.tar.gz", hash = "sha256:e7d8db41c0181c80d76c982aacc442c0783a2c54d6400fe028954201a2e032fe"},
+    {file = "tornado-6.4-cp38-abi3-macosx_10_9_universal2.whl", hash = "sha256:02ccefc7d8211e5a7f9e8bc3f9e5b0ad6262ba2fbb683a6443ecc804e5224ce0"},
+    {file = "tornado-6.4-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:27787de946a9cffd63ce5814c33f734c627a87072ec7eed71f7fc4417bb16263"},
+    {file = "tornado-6.4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f7894c581ecdcf91666a0912f18ce5e757213999e183ebfc2c3fdbf4d5bd764e"},
+    {file = "tornado-6.4-cp38-abi3-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e43bc2e5370a6a8e413e1e1cd0c91bedc5bd62a74a532371042a18ef19e10579"},
+    {file = "tornado-6.4-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f0251554cdd50b4b44362f73ad5ba7126fc5b2c2895cc62b14a1c2d7ea32f212"},
+    {file = "tornado-6.4-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:fd03192e287fbd0899dd8f81c6fb9cbbc69194d2074b38f384cb6fa72b80e9c2"},
+    {file = "tornado-6.4-cp38-abi3-musllinux_1_1_i686.whl", hash = "sha256:88b84956273fbd73420e6d4b8d5ccbe913c65d31351b4c004ae362eba06e1f78"},
+    {file = "tornado-6.4-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:71ddfc23a0e03ef2df1c1397d859868d158c8276a0603b96cf86892bff58149f"},
+    {file = "tornado-6.4-cp38-abi3-win32.whl", hash = "sha256:6f8a6c77900f5ae93d8b4ae1196472d0ccc2775cc1dfdc9e7727889145c45052"},
+    {file = "tornado-6.4-cp38-abi3-win_amd64.whl", hash = "sha256:10aeaa8006333433da48dec9fe417877f8bcc21f48dda8d661ae79da357b2a63"},
+    {file = "tornado-6.4.tar.gz", hash = "sha256:72291fa6e6bc84e626589f1c29d90a5a6d593ef5ae68052ee2ef000dfd273dee"},
 ]
 
 [[package]]
 name = "tqdm"
 version = "4.66.1"
 description = "Fast, Extensible Progress Meter"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -7003,27 +6510,10 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
-[[package]]
-name = "traitlets"
-version = "5.10.0"
-description = "Traitlets Python configuration system"
-category = "main"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "traitlets-5.10.0-py3-none-any.whl", hash = "sha256:417745a96681fbb358e723d5346a547521f36e9bd0d50ba7ab368fff5d67aa54"},
-    {file = "traitlets-5.10.0.tar.gz", hash = "sha256:f584ea209240466e66e91f3c81aa7d004ba4cf794990b0c775938a1544217cd1"},
-]
-
-[package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
-test = ["argcomplete (>=3.0.3)", "mypy (>=1.5.1)", "pre-commit", "pytest (>=7.0,<7.5)", "pytest-mock", "pytest-mypy-testing"]
-
 [[package]]
 name = "triton"
 version = "2.0.0"
 description = "A language and compiler for custom Deep Learning operations"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -7052,7 +6542,6 @@ tutorials = ["matplotlib", "pandas", "tabulate"]
 name = "twisted"
 version = "21.7.0"
 description = "An asynchronous networking framework written in Python"
-category = "main"
 optional = true
 python-versions = ">=3.6.7"
 files = [
@@ -7089,7 +6578,6 @@ windows-platform = ["PyHamcrest (>=1.9.0)", "appdirs (>=1.4.0)", "bcrypt (>=3.0.
 name = "twisted-iocpsupport"
 version = "1.0.4"
 description = "An extension for use in the twisted I/O Completion Ports reactor."
-category = "main"
 optional = true
 python-versions = "*"
 files = [
@@ -7118,7 +6606,6 @@ files = [
 name = "typeguard"
 version = "2.13.3"
 description = "Run-time type checker for Python"
-category = "main"
 optional = false
 python-versions = ">=3.5.3"
 files = [
@@ -7130,23 +6617,42 @@ files = [
 doc = ["sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
 test = ["mypy", "pytest", "typing-extensions"]
 
+[[package]]
+name = "typer"
+version = "0.9.0"
+description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
+optional = true
+python-versions = ">=3.6"
+files = [
+    {file = "typer-0.9.0-py3-none-any.whl", hash = "sha256:5d96d986a21493606a358cae4461bd8cdf83cbf33a5aa950ae629ca3b51467ee"},
+    {file = "typer-0.9.0.tar.gz", hash = "sha256:50922fd79aea2f4751a8e0408ff10d2662bd0c8bbfa84755a699f3bada2978b2"},
+]
+
+[package.dependencies]
+click = ">=7.1.1,<9.0.0"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["colorama (>=0.4.3,<0.5.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
+dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2.17.0,<3.0.0)"]
+doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
+test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<14.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
+
 [[package]]
 name = "typing-extensions"
-version = "4.7.1"
-description = "Backported and Experimental Type Hints for Python 3.7+"
-category = "main"
+version = "4.9.0"
+description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.7.1-py3-none-any.whl", hash = "sha256:440d5dd3af93b060174bf433bccd69b0babc3b15b1a8dca43789fd7f61514b36"},
-    {file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
+    {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
+    {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
 ]
 
 [[package]]
 name = "typing-inspect"
 version = "0.9.0"
 description = "Runtime inspection utilities for typing module."
-category = "dev"
 optional = false
 python-versions = "*"
 files = [
@@ -7162,7 +6668,6 @@ typing-extensions = ">=3.7.4"
 name = "tzdata"
 version = "2023.3"
 description = "Provider of IANA time zone data"
-category = "main"
 optional = true
 python-versions = ">=2"
 files = [
@@ -7172,69 +6677,46 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "1.26.16"
+version = "2.1.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
-files = [
-    {file = "urllib3-1.26.16-py2.py3-none-any.whl", hash = "sha256:8d36afa7616d8ab714608411b4a3b13e58f463aee519024578e062e141dce20f"},
-    {file = "urllib3-1.26.16.tar.gz", hash = "sha256:8f135f6502756bde6b2a9b28989df5fbe87c9970cecaa69041edcce7f0589b14"},
-]
-
-[package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
-socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
-
-[[package]]
-name = "uvicorn"
-version = "0.23.2"
-description = "The lightning-fast ASGI server."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "uvicorn-0.23.2-py3-none-any.whl", hash = "sha256:1f9be6558f01239d4fdf22ef8126c39cb1ad0addf76c40e760549d2c2f43ab53"},
-    {file = "uvicorn-0.23.2.tar.gz", hash = "sha256:4d3cc12d7727ba72b64d12d3cc7743124074c0a69f7b201512fc50c3e3f1569a"},
+    {file = "urllib3-2.1.0-py3-none-any.whl", hash = "sha256:55901e917a5896a349ff771be919f8bd99aff50b79fe58fec595eb37bbc56bb3"},
+    {file = "urllib3-2.1.0.tar.gz", hash = "sha256:df7aa8afb0148fa78488e7899b2c59b5f4ffcfa82e6c54ccb9dd37c1d7b52d54"},
 ]
 
-[package.dependencies]
-click = ">=7.0"
-h11 = ">=0.8"
-typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-
 [package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
+brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "vine"
-version = "5.0.0"
-description = "Promises, promises, promises."
-category = "main"
+version = "5.1.0"
+description = "Python promises."
 optional = true
 python-versions = ">=3.6"
 files = [
-    {file = "vine-5.0.0-py2.py3-none-any.whl", hash = "sha256:4c9dceab6f76ed92105027c49c823800dd33cacce13bdedc5b914e3514b7fb30"},
-    {file = "vine-5.0.0.tar.gz", hash = "sha256:7d3b1624a953da82ef63462013bbd271d3eb75751489f9807598e8f340bd637e"},
+    {file = "vine-5.1.0-py3-none-any.whl", hash = "sha256:40fdf3c48b2cfe1c38a49e9ae2da6fda88e4794c810050a728bd7413811fb1dc"},
+    {file = "vine-5.1.0.tar.gz", hash = "sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0"},
 ]
 
 [[package]]
 name = "virtualenv"
-version = "20.24.5"
+version = "20.25.0"
 description = "Virtual Python Environment builder"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.24.5-py3-none-any.whl", hash = "sha256:b80039f280f4919c77b30f1c23294ae357c4c8701042086e3fc005963e4e537b"},
-    {file = "virtualenv-20.24.5.tar.gz", hash = "sha256:e8361967f6da6fbdf1426483bfe9fca8287c242ac0bc30429905721cefbff752"},
+    {file = "virtualenv-20.25.0-py3-none-any.whl", hash = "sha256:4238949c5ffe6876362d9c0180fc6c3a824a7b12b80604eeb8085f2ed7460de3"},
+    {file = "virtualenv-20.25.0.tar.gz", hash = "sha256:bf51c0d9c7dd63ea8e44086fa1e4fb1093a31e963b86959257378aef020e1f1b"},
 ]
 
 [package.dependencies]
 distlib = ">=0.3.7,<1"
 filelock = ">=3.12.2,<4"
-platformdirs = ">=3.9.1,<4"
+platformdirs = ">=3.9.1,<5"
 
 [package.extras]
 docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
@@ -7242,21 +6724,19 @@ test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess
 
 [[package]]
 name = "voluptuous"
-version = "0.13.1"
-description = ""
-category = "main"
+version = "0.14.1"
+description = "Python data validation library"
 optional = true
-python-versions = "*"
+python-versions = ">=3.7"
 files = [
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 version = "3.0.0"
 description = "Filesystem events monitoring"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -7294,123 +6774,24 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
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-
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 [[package]]
 name = "werkzeug"
-version = "2.3.7"
+version = "3.0.1"
 description = "The comprehensive WSGI web application library."
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -7421,14 +6802,13 @@ watchdog = ["watchdog (>=2.3)"]
 
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 name = "west"
-version = "1.1.0"
+version = "1.2.0"
 description = "Zephyr RTOS Project meta-tool"
-category = "main"
 optional = true
 python-versions = ">=3.8"
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@@ -7588,98 +6959,112 @@ scikit-learn = ["scikit-learn"]
 
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 [package.dependencies]
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 [[package]]
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-version = "4.12.2.0"
+version = "4.12.4.0"
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 python-versions = "*"
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 name = "zc-lockfile"
 version = "3.0.post1"
 description = "Basic inter-process locks"
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 optional = true
 python-versions = ">=3.7"
 files = [
@@ -7722,70 +7105,75 @@ test = ["zope.testing"]
 
 [[package]]
 name = "zipp"
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+version = "3.17.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
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 python-versions = ">=3.8"
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 name = "zope-interface"
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 description = "Interfaces for Python"
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 python-versions = ">=3.7"
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+    {file = "zope.interface-6.1.tar.gz", hash = "sha256:2fdc7ccbd6eb6b7df5353012fbed6c3c5d04ceaca0038f75e601060e95345309"},
 ]
 
 [package.dependencies]
 setuptools = "*"
 
 [package.extras]
-docs = ["Sphinx", "repoze.sphinx.autointerface"]
+docs = ["Sphinx", "repoze.sphinx.autointerface", "sphinx-rtd-theme"]
 test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
 
 [extras]
 dvc = ["dvc", "dvclive"]
+interpret = ["captum"]
 onnxrt-backend = ["onnxruntime"]
 tf-backend = ["onnx-tf"]
 tvm = ["hannah-tvm"]
@@ -7794,4 +7182,4 @@ vision = ["albumentations", "gdown", "imagecorruptions", "kornia", "pycocotools"
 [metadata]
 lock-version = "2.0"
 python-versions = ">3.8 <3.11"
-content-hash = "606a5788ed384ec466b07cba1a6f58bc42b357315cb5a054c932967feccba4ce"
+content-hash = "439a712f2379911c7bb2d23815504d0c6efbe81604a523c618eeb0a430b2197e"
diff --git a/pyproject.toml b/pyproject.toml
index 4d1f8bca..c709a1d8 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,7 +19,6 @@ pwlf = "^2.0.0"
 gitdb2 = "2.0.6"
 chainmap = "^1.0.3"
 torch = "2.0.0"
-pytorch-lightning = "^1.8.3.post1"
 torchaudio = "^2.0.1"
 torchvision = "^0.15.1"
 SoundFile = "^0.10.3"
@@ -64,10 +63,11 @@ pycocotools = {version = "^2.0.6", optional = true}
 gdown = {version = "^4.5.3", optional = true}
 albumentations = {version = "^1.3.0", optional = true}
 kornia = {version="^0.6.4", optional=true}
-lightning = "^1.8.3.post1"
-dvc = {version = "^2.43.1", optional = true}
-dvclive = {version = "^1.3.4", optional = true}
+lightning = "^2.1.2"
+dvc =  {version="^3.33.3", optional=true}
+dvclive =  {version="^3.4.1", optional=true}
 dgl = "0.9.1"
+captum = {version = "^0.7.0", optional = true}
 
 
 
@@ -94,6 +94,7 @@ onnxrt-backend = ["onnxruntime"]
 tvm = ["hannah-tvm"]
 vision = ["pycocotools", "albumentations", "imagecorruptions", "timm", "gdown", "kornia"]
 dvc = ["dvc", "dvclive"]
+interpret = ["captum"]
 
 [tool.poetry.scripts]
 hannah-train = 'hannah.tools.train:main'
diff --git a/test/test_train.py b/test/test_train.py
index c713a3d0..e2fe1fce 100644
--- a/test/test_train.py
+++ b/test/test_train.py
@@ -1,5 +1,5 @@
 #
-# Copyright (c) 2023 Hannah contributors.
+# Copyright (c) 2024 Hannah contributors.
 #
 # This file is part of hannah.
 # See https://github.com/ekut-es/hannah for further info.
@@ -66,10 +66,6 @@ def test_models(model, features):
 
 
 @pytest.mark.integration
-@pytest.mark.skipif(
-    platform.processor() == "ppc64le",
-    reason="currently needs cpu based fft wich is not available on ppc",
-)
 @pytest.mark.parametrize(
     "model,backend", [("tc-res8", "torchmobile"), ("gds", "torchmobile")]
 )