diff --git a/.github/workflows/alibiexplainer_tests.yml b/.github/workflows/alibiexplainer_tests.yml
index a30fa06da7..e661bdec90 100644
--- a/.github/workflows/alibiexplainer_tests.yml
+++ b/.github/workflows/alibiexplainer_tests.yml
@@ -24,10 +24,17 @@ jobs:
   python-tests:
 
     runs-on: ubuntu-latest
-    container: seldonio/python-builder:0.6
-
     steps:
       - uses: actions/checkout@v2
+      - name: Set up Python 3.7
+        uses: actions/setup-python@v2
+        with:
+          python-version: 3.7
+      - name: Install Poetry
+        uses: snok/install-poetry@v1
+        with:
+          version: 1.1.15
+          virtualenvs-create: false
       - name: test-python
         run: |
           pip install --upgrade pip setuptools
diff --git a/components/alibi-detect-server/Dockerfile b/components/alibi-detect-server/Dockerfile
index 1af99696ed..a46a3c4ce1 100644
--- a/components/alibi-detect-server/Dockerfile
+++ b/components/alibi-detect-server/Dockerfile
@@ -23,10 +23,10 @@ RUN microdnf update -y && \
       gcc-c++
 
 # Install Rclone Binary to be present in the image
-RUN wget https://downloads.rclone.org/v1.55.1/rclone-v1.55.1-linux-amd64.zip && \
-    unzip rclone-v1.55.1-linux-amd64.zip && \
-    mv rclone-v1.55.1-linux-amd64/rclone /usr/bin/rclone && \
-    rm -rf rclone-v1.55.1-linux-amd64.zip rclone-v1.55.1-linux-amd64
+RUN wget https://downloads.rclone.org/v1.61.1/rclone-v1.61.1-linux-amd64.zip && \
+    unzip rclone-v1.61.1-linux-amd64.zip && \
+    mv rclone-v1.61.1-linux-amd64/rclone /usr/bin/rclone && \
+    rm -rf rclone-v1.61.1-linux-amd64.zip rclone-v1.61.1-linux-amd64
 
 # Install Python / Conda
 # Note that we need to force Conda to use the system's std-c++ library, as
diff --git a/components/alibi-detect-server/adserver/__main__.py b/components/alibi-detect-server/adserver/__main__.py
index cb18569cac..5b03bc0540 100644
--- a/components/alibi-detect-server/adserver/__main__.py
+++ b/components/alibi-detect-server/adserver/__main__.py
@@ -2,9 +2,9 @@
 
 import tensorflow as tf
 
-gpus = tf.config.experimental.list_physical_devices('GPU')
+gpus = tf.config.experimental.list_physical_devices("GPU")
 for gpu in gpus:
-  tf.config.experimental.set_memory_growth(gpu, True)
+    tf.config.experimental.set_memory_growth(gpu, True)
 
 tf.keras.backend.clear_session()
 
@@ -18,8 +18,7 @@
 from adserver.server import CEServer
 from adserver.protocols import Protocol
 from adserver.server import DEFAULT_HTTP_PORT
-from alibi_detect.utils.saving import Data
-
+from adserver.base import Data
 
 
 class AlibiDetectMethod(Enum):
diff --git a/components/alibi-detect-server/adserver/ad_model.py b/components/alibi-detect-server/adserver/ad_model.py
index 53d3cc8019..55fd4e6755 100644
--- a/components/alibi-detect-server/adserver/ad_model.py
+++ b/components/alibi-detect-server/adserver/ad_model.py
@@ -5,8 +5,8 @@
 from adserver.constants import HEADER_RETURN_INSTANCE_SCORE
 from .numpy_encoder import NumpyEncoder
 from adserver.protocols.util import read_inputs_as_numpy
-from alibi_detect.utils.saving import load_detector, Data
-from adserver.base import CEModel, ModelResponse
+from alibi_detect.utils.saving import load_detector
+from adserver.base import CEModel, ModelResponse, Data
 from adserver.base.storage import download_model
 
 
@@ -76,5 +76,5 @@ def process_event(self, inputs: Union[List, Dict], headers: Dict) -> ModelRespon
 
         ad_preds = self.model.predict(X, return_instance_score=ret_instance_score)
 
-        data =  json.loads(json.dumps(ad_preds, cls=NumpyEncoder))
+        data = json.loads(json.dumps(ad_preds, cls=NumpyEncoder))
         return ModelResponse(data=data, metrics=None)
diff --git a/components/alibi-detect-server/adserver/base/__init__.py b/components/alibi-detect-server/adserver/base/__init__.py
index 5ff5ffb9c8..e6f819eb4b 100644
--- a/components/alibi-detect-server/adserver/base/__init__.py
+++ b/components/alibi-detect-server/adserver/base/__init__.py
@@ -1,2 +1,2 @@
 from .model import CEModel, ModelResponse
-from .alibi_model import AlibiDetectModel
+from .alibi_model import AlibiDetectModel, Data
diff --git a/components/alibi-detect-server/adserver/base/alibi_model.py b/components/alibi-detect-server/adserver/base/alibi_model.py
index 514d8160b2..f1a888de52 100644
--- a/components/alibi-detect-server/adserver/base/alibi_model.py
+++ b/components/alibi-detect-server/adserver/base/alibi_model.py
@@ -1,7 +1,10 @@
-from typing import Optional
+from typing import Optional, Union
 from adserver.base.model import CEModel
 from adserver.base.storage import download_model
-from alibi_detect.utils.saving import load_detector, Data
+from alibi_detect.base import ConfigurableDetector, Detector
+from alibi_detect.utils.saving import load_detector
+
+Data = Union[Detector, ConfigurableDetector]
 
 
 class AlibiDetectModel(CEModel):  # pylint:disable=c-extension-no-member
diff --git a/components/alibi-detect-server/adserver/cd_model.py b/components/alibi-detect-server/adserver/cd_model.py
index 21cbd1a000..fe08fef8fa 100644
--- a/components/alibi-detect-server/adserver/cd_model.py
+++ b/components/alibi-detect-server/adserver/cd_model.py
@@ -4,12 +4,13 @@
 import numpy as np
 import os
 from .numpy_encoder import NumpyEncoder
-from adserver.base import AlibiDetectModel, ModelResponse
-from alibi_detect.utils.saving import load_detector, Data
+from adserver.base import AlibiDetectModel, ModelResponse, Data
+from alibi_detect.utils.saving import load_detector
 from adserver.constants import ENV_DRIFT_TYPE_FEATURE
 
 DRIFT_TYPE_FEATURE = os.environ.get(ENV_DRIFT_TYPE_FEATURE, "").upper() == "TRUE"
 
+
 def _append_drift_metrcs(metrics, drift, name):
     metric_found = drift.get(name)
 
@@ -58,7 +59,9 @@ def __init__(
         self.batch: Optional[np.ndarray] = None
         self.model: Data = model
 
-    def process_event(self, inputs: Union[List, Dict], headers: Dict) -> Optional[ModelResponse]:
+    def process_event(
+        self, inputs: Union[List, Dict], headers: Dict
+    ) -> Optional[ModelResponse]:
         """
         Process the event and return Alibi Detect score
 
@@ -98,7 +101,7 @@ def process_event(self, inputs: Union[List, Dict], headers: Dict) -> Optional[Mo
                 self.drift_batch_size,
             )
             if DRIFT_TYPE_FEATURE:
-                cd_preds = self.model.predict(self.batch, drift_type='feature')
+                cd_preds = self.model.predict(self.batch, drift_type="feature")
             else:
                 cd_preds = self.model.predict(self.batch)
 
diff --git a/components/alibi-detect-server/adserver/od_model.py b/components/alibi-detect-server/adserver/od_model.py
index 3c1b09f6f5..a7860af26b 100644
--- a/components/alibi-detect-server/adserver/od_model.py
+++ b/components/alibi-detect-server/adserver/od_model.py
@@ -5,8 +5,8 @@
 import numpy as np
 from .numpy_encoder import NumpyEncoder
 from adserver.protocols.util import read_inputs_as_numpy
-from adserver.base import CEModel, ModelResponse
-from alibi_detect.utils.saving import load_detector, Data
+from adserver.base import CEModel, ModelResponse, Data
+from alibi_detect.utils.saving import load_detector
 from adserver.base.storage import download_model
 from adserver.constants import (
     HEADER_RETURN_INSTANCE_SCORE,
@@ -66,7 +66,9 @@ def load(self):
         self.model: Data = load_detector(model_folder)
         self.ready = True
 
-    def process_event(self, inputs: Union[List, Dict], headers: Dict) -> Optional[ModelResponse]:
+    def process_event(
+        self, inputs: Union[List, Dict], headers: Dict
+    ) -> Optional[ModelResponse]:
         """
         Process the event and return Alibi Detect score
 
diff --git a/components/alibi-detect-server/adserver/tests/test_cd_model.py b/components/alibi-detect-server/adserver/tests/test_cd_model.py
index f9369b63ca..397a83b45a 100644
--- a/components/alibi-detect-server/adserver/tests/test_cd_model.py
+++ b/components/alibi-detect-server/adserver/tests/test_cd_model.py
@@ -60,7 +60,7 @@ def test_basic(self):
         model = DummyCDModel()
         ad_model = AlibiDetectConceptDriftModel(
             "imdb_text_drift",
-            "gs://seldon-models/alibi-detect/cd/ks/imdb-0_6_2",
+            "gs://seldon-models/alibi-detect/cd/ks/imdb-0_10_4",
             drift_batch_size=2,
         )
         req = [
diff --git a/components/alibi-detect-server/poetry.lock b/components/alibi-detect-server/poetry.lock
index b02d55d267..03c931e488 100644
--- a/components/alibi-detect-server/poetry.lock
+++ b/components/alibi-detect-server/poetry.lock
@@ -25,32 +25,42 @@ requests = ">=2.0.0,<3"
 
 [[package]]
 name = "alibi-detect"
-version = "0.9.0"
+version = "0.10.4"
 description = "Algorithms for outlier detection, concept drift and metrics."
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.dependencies]
+catalogue = ">=2.0.0,<3.0.0"
 dill = ">=0.3.0,<0.4.0"
+fbprophet = {version = ">=0.5,<0.7", optional = true, markers = "extra == \"all\""}
+holidays = {version = "0.9.11", optional = true, markers = "extra == \"all\""}
 matplotlib = ">=3.0.0,<4.0.0"
 numba = ">=0.50.0,<0.54.0 || >0.54.0,<0.56.0"
 numpy = ">=1.16.2,<2.0.0"
 opencv-python = ">=3.2.0,<5.0.0"
 pandas = ">=0.23.3,<2.0.0"
 Pillow = ">=5.4.1,<10.0.0"
+pydantic = ">=1.8.0,<2.0.0"
+pystan = {version = "<3.0", optional = true, markers = "extra == \"all\""}
 requests = ">=2.21.0,<3.0.0"
 scikit-image = ">=0.14.2,<0.17.1 || >0.17.1,<0.20"
-scikit-learn = ">=0.20.2,<1.1.0"
+scikit-learn = ">=0.20.2,<2.0.0"
 scipy = ">=1.3.0,<2.0.0"
-tensorflow = ">=2.2.0,<2.6.0 || >2.6.0,<2.6.1 || >2.6.1,<2.9.0"
-tensorflow-probability = ">=0.8.0,<0.13.0"
+tensorflow = {version = ">=2.2.0,<2.6.0 || >2.6.0,<2.6.1 || >2.6.1,<2.10.0", optional = true, markers = "extra == \"all\""}
+tensorflow-probability = {version = ">=0.8.0,<0.18.0", optional = true, markers = "extra == \"all\""}
+toml = ">=0.10.1,<1.0.0"
+torch = {version = ">=1.7.0,<1.13.0", optional = true, markers = "extra == \"all\""}
 tqdm = ">=4.28.1,<5.0.0"
 transformers = ">=4.0.0,<5.0.0"
+typing-extensions = ">=3.7.4.3"
 
 [package.extras]
+all = ["fbprophet (>=0.5,<0.7)", "holidays (==0.9.11)", "pystan (<3.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1,<2.10.0)", "tensorflow-probability (>=0.8.0,<0.18.0)", "torch (>=1.7.0,<1.13.0)"]
 prophet = ["fbprophet (>=0.5,<0.7)", "holidays (==0.9.11)", "pystan (<3.0)"]
-torch = ["torch (>=1.7.0)"]
+tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1,<2.10.0)", "tensorflow-probability (>=0.8.0,<0.18.0)"]
+torch = ["torch (>=1.7.0,<1.13.0)"]
 
 [[package]]
 name = "appdirs"
@@ -197,6 +207,18 @@ category = "main"
 optional = false
 python-versions = "~=3.5"
 
+[[package]]
+name = "catalogue"
+version = "2.0.8"
+description = "Super lightweight function registries for your library"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
+zipp = {version = ">=0.5", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "certifi"
 version = "2021.10.8"
@@ -252,7 +274,7 @@ deprecation = ">=2.0,<3.0"
 
 [[package]]
 name = "cloudpickle"
-version = "2.0.0"
+version = "2.2.1"
 description = "Extended pickling support for Python objects"
 category = "main"
 optional = false
@@ -373,15 +395,12 @@ graph = ["objgraph (>=1.7.2)"]
 
 [[package]]
 name = "dm-tree"
-version = "0.1.6"
+version = "0.1.8"
 description = "Tree is a library for working with nested data structures."
 category = "main"
 optional = false
 python-versions = "*"
 
-[package.dependencies]
-six = ">=1.12.0"
-
 [[package]]
 name = "elasticsearch"
 version = "7.9.1"
@@ -819,27 +838,17 @@ python-versions = ">=3.7"
 cached-property = {version = "*", markers = "python_version < \"3.8\""}
 numpy = ">=1.14.5"
 
-[[package]]
-name = "hijri-converter"
-version = "2.2.3"
-description = "Accurate Hijri-Gregorian dates converter based on the Umm al-Qura calendar"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
 [[package]]
 name = "holidays"
-version = "0.13"
+version = "0.9.11"
 description = "Generate and work with holidays in Python"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = "*"
 
 [package.dependencies]
-convertdate = ">=2.3.0"
-hijri-converter = "*"
-korean-lunar-calendar = "*"
 python-dateutil = "*"
+six = "*"
 
 [[package]]
 name = "httplib2"
@@ -1016,7 +1025,7 @@ format_nongpl = ["idna", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-va
 
 [[package]]
 name = "keras"
-version = "2.7.0"
+version = "2.9.0"
 description = "Deep learning for humans."
 category = "main"
 optional = false
@@ -1076,14 +1085,6 @@ python-versions = ">=3.7"
 [package.dependencies]
 typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
 
-[[package]]
-name = "korean-lunar-calendar"
-version = "0.2.1"
-description = "Korean Lunar Calendar"
-category = "main"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "kubernetes"
 version = "10.0.1"
@@ -1472,18 +1473,33 @@ category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
+[[package]]
+name = "pydantic"
+version = "1.10.4"
+description = "Data validation and settings management using python type hints"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = ">=4.2.0"
+
+[package.extras]
+dotenv = ["python-dotenv (>=0.10.4)"]
+email = ["email-validator (>=1.0.3)"]
+
 [[package]]
 name = "pyjwt"
-version = "2.3.0"
+version = "2.6.0"
 description = "JSON Web Token implementation in Python"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [package.extras]
-crypto = ["cryptography (>=3.3.1)"]
-dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.3.1)", "mypy", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx", "sphinx-rtd-theme", "zope.interface"]
-docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"]
+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]]
@@ -1772,7 +1788,7 @@ numpy = ">=1.16.5,<1.23.0"
 
 [[package]]
 name = "seldon-core"
-version = "1.15.0.dev0"
+version = "1.16.0.dev0"
 description = "Seldon Core client and microservice wrapper"
 category = "main"
 optional = false
@@ -1798,7 +1814,8 @@ prometheus_client = ">=0.7.1,<0.9.0"
 protobuf = "<4.0.0"
 PyYAML = ">=5.4,<5.5"
 requests = "<3.0.0"
-urllib3 = "1.26.5"
+urllib3 = ">=1.26.5,<1.27"
+werkzeug = ">=2.1.1,<2.3"
 
 [package.extras]
 all = ["tensorflow"]
@@ -1872,7 +1889,7 @@ doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
 [[package]]
 name = "tensorboard"
-version = "2.8.0"
+version = "2.9.1"
 description = "TensorBoard lets you watch Tensors Flow"
 category = "main"
 optional = false
@@ -1885,11 +1902,11 @@ google-auth-oauthlib = ">=0.4.1,<0.5"
 grpcio = ">=1.24.3"
 markdown = ">=2.6.8"
 numpy = ">=1.12.0"
-protobuf = ">=3.6.0"
+protobuf = ">=3.9.2,<3.20"
 requests = ">=2.21.0,<3"
 tensorboard-data-server = ">=0.6.0,<0.7.0"
 tensorboard-plugin-wit = ">=1.6.0"
-werkzeug = ">=0.11.15"
+werkzeug = ">=1.0.1"
 
 [[package]]
 name = "tensorboard-data-server"
@@ -1909,41 +1926,42 @@ python-versions = "*"
 
 [[package]]
 name = "tensorflow"
-version = "2.7.2"
+version = "2.9.3"
 description = "TensorFlow is an open source machine learning framework for everyone."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
 
 [package.dependencies]
-absl-py = ">=0.4.0"
+absl-py = ">=1.0.0"
 astunparse = ">=1.6.0"
-flatbuffers = ">=1.12,<3.0"
-gast = ">=0.2.1,<0.5.0"
+flatbuffers = ">=1.12,<2"
+gast = ">=0.2.1,<=0.4.0"
 google-pasta = ">=0.1.1"
 grpcio = ">=1.24.3,<2.0"
 h5py = ">=2.9.0"
-keras = ">=2.7.0rc0,<2.8"
+keras = ">=2.9.0rc0,<2.10.0"
 keras-preprocessing = ">=1.1.1"
-libclang = ">=9.0.1"
-numpy = ">=1.14.5"
+libclang = ">=13.0.0"
+numpy = ">=1.20"
 opt-einsum = ">=2.3.2"
-protobuf = ">=3.9.2"
+packaging = "*"
+protobuf = ">=3.9.2,<3.20"
 six = ">=1.12.0"
-tensorboard = ">=2.6,<3.0"
-tensorflow-estimator = ">=2.7.0rc0,<2.8"
-tensorflow-io-gcs-filesystem = ">=0.21.0"
+tensorboard = ">=2.9,<2.10"
+tensorflow-estimator = ">=2.9.0rc0,<2.10.0"
+tensorflow-io-gcs-filesystem = ">=0.23.1"
 termcolor = ">=1.1.0"
 typing-extensions = ">=3.6.6"
 wrapt = ">=1.11.0"
 
 [[package]]
 name = "tensorflow-estimator"
-version = "2.7.0"
+version = "2.9.0"
 description = "TensorFlow Estimator."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
 
 [[package]]
 name = "tensorflow-io-gcs-filesystem"
@@ -1962,13 +1980,14 @@ tensorflow-rocm = ["tensorflow-rocm (>=2.8.0,<2.9.0)"]
 
 [[package]]
 name = "tensorflow-probability"
-version = "0.12.2"
+version = "0.17.0"
 description = "Probabilistic modeling and statistical inference in TensorFlow"
 category = "main"
 optional = false
 python-versions = "*"
 
 [package.dependencies]
+absl-py = "*"
 cloudpickle = ">=1.3"
 decorator = "*"
 dm-tree = "*"
@@ -1977,7 +1996,7 @@ numpy = ">=1.13.3"
 six = ">=1.10.0"
 
 [package.extras]
-jax = ["jax (<=0.2.11)", "jaxlib (<=0.1.64)"]
+jax = ["jax", "jaxlib"]
 tfds = ["tensorflow-datasets (>=2.2.0)"]
 
 [[package]]
@@ -2053,7 +2072,7 @@ testing = ["datasets", "numpy", "pytest", "requests"]
 name = "toml"
 version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
@@ -2065,6 +2084,17 @@ category = "main"
 optional = false
 python-versions = ">=3.6"
 
+[[package]]
+name = "torch"
+version = "1.12.1"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+category = "main"
+optional = false
+python-versions = ">=3.7.0"
+
+[package.dependencies]
+typing-extensions = "*"
+
 [[package]]
 name = "tornado"
 version = "6.1"
@@ -2167,11 +2197,11 @@ python-versions = "*"
 
 [[package]]
 name = "typing-extensions"
-version = "4.1.1"
-description = "Backported and Experimental Type Hints for Python 3.6+"
+version = "4.4.0"
+description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [[package]]
 name = "urllib3"
@@ -2236,7 +2266,7 @@ testing = ["func-timeout", "jaraco.itertools", "pytest (>=6)", "pytest-black (>=
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.7,<3.11"
-content-hash = "ad9dd6412399ce4329c79e759fccd9a4fdcf98ed837a68ae4d9da70d43d5c549"
+content-hash = "1b6339c84e5b4af2e9980f8d2a5e1f6d268df075930bd4ad710ce09ee61ab717"
 
 [metadata.files]
 absl-py = [
@@ -2248,8 +2278,8 @@ adal = [
     {file = "adal-1.2.7.tar.gz", hash = "sha256:d74f45b81317454d96e982fd1c50e6fb5c99ac2223728aea8764433a39f566f1"},
 ]
 alibi-detect = [
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+]
 tornado = [
     {file = "tornado-6.1-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32"},
     {file = "tornado-6.1-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c"},
@@ -3882,8 +3968,8 @@ types-requests = [
     {file = "types_requests-2.26.0-py3-none-any.whl", hash = "sha256:809b5dcd3c408ac39d11d593835b6aff32420b3e7ddb79c7f3e823330f040466"},
 ]
 typing-extensions = [
-    {file = "typing_extensions-4.1.1-py3-none-any.whl", hash = "sha256:21c85e0fe4b9a155d0799430b0ad741cdce7e359660ccbd8b530613e8df88ce2"},
-    {file = "typing_extensions-4.1.1.tar.gz", hash = "sha256:1a9462dcc3347a79b1f1c0271fbe79e844580bb598bafa1ed208b94da3cdcd42"},
+    {file = "typing_extensions-4.4.0-py3-none-any.whl", hash = "sha256:16fa4864408f655d35ec496218b85f79b3437c829e93320c7c9215ccfd92489e"},
+    {file = "typing_extensions-4.4.0.tar.gz", hash = "sha256:1511434bb92bf8dd198c12b1cc812e800d4181cfcb867674e0f8279cc93087aa"},
 ]
 urllib3 = [
     {file = "urllib3-1.26.5-py2.py3-none-any.whl", hash = "sha256:753a0374df26658f99d826cfe40394a686d05985786d946fbe4165b5148f5a7c"},
diff --git a/components/alibi-detect-server/pyproject.toml b/components/alibi-detect-server/pyproject.toml
index b95c1153a5..18d6bc4ec3 100644
--- a/components/alibi-detect-server/pyproject.toml
+++ b/components/alibi-detect-server/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "adserver"
-version = "1.12.0-dev"
+version = "1.16.0-dev"
 description = "Model Explanation Server"
 authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
 license = "Apache-2.0"
@@ -8,10 +8,10 @@ license = "Apache-2.0"
 [tool.poetry.dependencies]
 python = ">=3.7,<3.11"
 seldon-core = { path = "_seldon_core", develop = false }
-alibi-detect = "0.9.0"
+alibi-detect = {version = "0.10.4", extras = ["all"]}
 numpy = "1.21.5"
 cloudevents = "1.2.0"
-tensorflow = "2.7.2"
+tensorflow = "2.9.3"
 scikit-learn = "0.24.2"
 
 elasticsearch = "7.9.1"
@@ -29,6 +29,10 @@ joblib = "1.2.0"
 
 pystan = "2.19.1.1"
 fbprophet = "0.6"
+# CVE-2022-29217
+PyJWT = "2.6.0"
+# catalogue@2.1.0 has been yanked
+catalogue = "2.0.8"
 
 [tool.poetry.dev-dependencies]
 pytest = "^6.2.4"
diff --git a/components/alibi-explain-server/Dockerfile b/components/alibi-explain-server/Dockerfile
index 12f5a3cee4..00ff456112 100644
--- a/components/alibi-explain-server/Dockerfile
+++ b/components/alibi-explain-server/Dockerfile
@@ -33,7 +33,11 @@ ENV POETRY_VIRTUALENVS_CREATE false
 
 # Install the server
 COPY poetry.lock pyproject.toml ./
-RUN poetry install && rm ~/.cache/pip -rf
+## Disable Poetry's new installer to avoid JSONDecodeError
+## https://github.com/python-poetry/poetry/issues/4210
+RUN poetry config experimental.new-installer false && \
+    poetry install && \
+    rm ~/.cache/pip -rf
 
 
 # Add licences
diff --git a/components/alibi-explain-server/alibiexplainer/seldon_http.py b/components/alibi-explain-server/alibiexplainer/seldon_http.py
index 4c5d9d50bd..d8c9f2b9ac 100644
--- a/components/alibi-explain-server/alibiexplainer/seldon_http.py
+++ b/components/alibi-explain-server/alibiexplainer/seldon_http.py
@@ -28,10 +28,10 @@ def _extract_list(body: Dict) -> List:
         for dim in data_def["tftensor"]["tensor_shape"]["dim"]:
             shape.append(dim["size"])
         arr = arr.reshape(shape)
-        return arr
+        return arr  # type: ignore
 
 
-def _create_seldon_data_def(array: np.array, ty: SeldonPayload):
+def _create_seldon_data_def(array: np.ndarray, ty: SeldonPayload):
     datadef = {}
     if ty == SeldonPayload.TENSOR:
         datadef["tensor"] = {"shape": array.shape, "values": array.ravel().tolist()}
@@ -90,7 +90,7 @@ def wrap_response(self, response: List) -> Dict:
         return {"data": seldon_datadef}
 
     @staticmethod
-    def predict(inputs: Union[np.array, List], predictor_url: str) -> List:
+    def predict(inputs: Union[np.ndarray, List], predictor_url: str) -> List:
         if isinstance(inputs, list):
             inputs = np.array(inputs)
         payload = create_request(inputs, SeldonPayload.NDARRAY)
diff --git a/components/alibi-explain-server/alibiexplainer/utils.py b/components/alibi-explain-server/alibiexplainer/utils.py
index 72567904a8..fdea9c1f33 100644
--- a/components/alibi-explain-server/alibiexplainer/utils.py
+++ b/components/alibi-explain-server/alibiexplainer/utils.py
@@ -77,30 +77,34 @@ def construct_predict_fn(
     protocol: Protocol = Protocol.seldon_grpc,
     tf_data_type: str = None,
 ) -> Callable:
-    def _predict_fn(arr: Union[np.ndarray, List]) -> np.ndarray:
+    def _predict_fn(arr: Union[np.ndarray, List]) -> np.ndarray:  # type: ignore
         if type(arr) == list:
             arr = np.array(arr)
+
         if protocol == Protocol.seldon_grpc:
             return _grpc(
-                arr=arr, predictor_host=predictor_host, tf_data_type=tf_data_type
+                arr=arr, predictor_host=predictor_host, tf_data_type=tf_data_type  # type: ignore
             )
-        elif protocol == Protocol.seldon_http:
-            payload = seldon.create_request(arr, seldon.SeldonPayload.NDARRAY)
+
+        if protocol == Protocol.seldon_http:
+            payload = seldon.create_request(arr, seldon.SeldonPayload.NDARRAY)  # type: ignore
             response_raw = requests.post(
                 SELDON_PREDICTOR_URL_FORMAT.format(predictor_host),
                 json=payload,
                 headers={SELDON_SKIP_LOGGING_HEADER: "true"},
             )
-            if response_raw.status_code == 200:
-                rh = seldon.SeldonRequestHandler(response_raw.json())
-                response_list = rh.extract_request()
-                return np.array(response_list)
-            else:
+
+            if response_raw.status_code != 200:
                 raise Exception(
                     "Failed to get response from model return_code"
                     ":%d" % response_raw.status_code
                 )
-        elif protocol == Protocol.tensorflow_http:
+
+            rh = seldon.SeldonRequestHandler(response_raw.json())
+            response_list = rh.extract_request()
+            return np.array(response_list)
+
+        if protocol == Protocol.tensorflow_http:
             instances = []
             for req_data in arr:
                 if isinstance(req_data, np.ndarray):
@@ -113,17 +117,21 @@ def _predict_fn(arr: Union[np.ndarray, List]) -> np.ndarray:
                 json.dumps(request),
                 headers={SELDON_SKIP_LOGGING_HEADER: "true"},
             )
+
             if response.status_code != 200:
                 raise Exception(
                     "Failed to get response from model return_code"
                     ":%d" % response.status_code
                 )
+
             return np.array(response.json()["predictions"])
 
     return _predict_fn
 
 
-def _grpc(arr: np.array, predictor_host: str, tf_data_type: Optional[str]) -> np.array:
+def _grpc(
+    arr: np.ndarray, predictor_host: str, tf_data_type: Optional[str]
+) -> np.ndarray:
     options = [
         ("grpc.max_send_message_length", GRPC_MAX_MSG_LEN),
         ("grpc.max_receive_message_length", GRPC_MAX_MSG_LEN),
diff --git a/components/alibi-explain-server/poetry.lock b/components/alibi-explain-server/poetry.lock
index 94d42f6410..b3b1ae877d 100644
--- a/components/alibi-explain-server/poetry.lock
+++ b/components/alibi-explain-server/poetry.lock
@@ -1,14 +1,11 @@
 [[package]]
 name = "absl-py"
-version = "1.0.0"
+version = "1.4.0"
 description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
 category = "main"
 optional = false
 python-versions = ">=3.6"
 
-[package.dependencies]
-six = "*"
-
 [[package]]
 name = "alibi"
 version = "0.7.0"
@@ -42,7 +39,7 @@ torch = ["torch (>=1.9.0,<2.0.0)"]
 
 [[package]]
 name = "anyio"
-version = "3.5.0"
+version = "3.6.2"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 category = "main"
 optional = false
@@ -55,16 +52,8 @@ typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
 
 [package.extras]
 doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=6.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
-trio = ["trio (>=0.16)"]
-
-[[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 = "dev"
-optional = false
-python-versions = "*"
+test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
+trio = ["trio (>=0.16,<0.22)"]
 
 [[package]]
 name = "argcomplete"
@@ -93,7 +82,7 @@ six = ">=1.6.1,<2.0"
 
 [[package]]
 name = "atomicwrites"
-version = "1.4.0"
+version = "1.4.1"
 description = "Atomic file writes."
 category = "dev"
 optional = false
@@ -115,26 +104,25 @@ tests_no_zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy"
 
 [[package]]
 name = "black"
-version = "21.7b0"
+version = "22.12.0"
 description = "The uncompromising code formatter."
 category = "dev"
 optional = false
-python-versions = ">=3.6.2"
+python-versions = ">=3.7"
 
 [package.dependencies]
-appdirs = "*"
-click = ">=7.1.2"
+click = ">=8.0.0"
 mypy-extensions = ">=0.4.3"
-pathspec = ">=0.8.1,<1"
-regex = ">=2020.1.8"
-tomli = ">=0.2.6,<2.0.0"
-typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\""}
-typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""}
+pathspec = ">=0.9.0"
+platformdirs = ">=2"
+tomli = {version = ">=1.1.0", markers = "python_full_version < \"3.11.0a7\""}
+typed-ast = {version = ">=1.4.2", markers = "python_version < \"3.8\" and implementation_name == \"cpython\""}
+typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.6.0)", "aiohttp-cors (>=0.4.0)"]
-python2 = ["typed-ast (>=1.4.2)"]
+d = ["aiohttp (>=3.7.4)"]
+jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
@@ -156,17 +144,9 @@ category = "dev"
 optional = false
 python-versions = "*"
 
-[[package]]
-name = "cached-property"
-version = "1.5.2"
-description = "A decorator for caching properties in classes."
-category = "main"
-optional = false
-python-versions = "*"
-
 [[package]]
 name = "cachetools"
-version = "5.0.0"
+version = "5.3.0"
 description = "Extensible memoizing collections and decorators"
 category = "main"
 optional = false
@@ -186,7 +166,7 @@ zipp = {version = ">=0.5", markers = "python_version < \"3.8\""}
 
 [[package]]
 name = "catboost"
-version = "1.0.4"
+version = "1.1.1"
 description = "Catboost Python Package"
 category = "main"
 optional = false
@@ -203,15 +183,15 @@ six = "*"
 
 [[package]]
 name = "certifi"
-version = "2021.10.8"
+version = "2022.12.7"
 description = "Python package for providing Mozilla's CA Bundle."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "cffi"
-version = "1.15.0"
+version = "1.15.1"
 description = "Foreign Function Interface for Python calling C code."
 category = "dev"
 optional = false
@@ -222,22 +202,19 @@ pycparser = "*"
 
 [[package]]
 name = "charset-normalizer"
-version = "2.0.11"
+version = "3.0.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 category = "main"
 optional = false
-python-versions = ">=3.5.0"
-
-[package.extras]
-unicode_backport = ["unicodedata2"]
+python-versions = "*"
 
 [[package]]
 name = "click"
-version = "8.0.3"
+version = "8.1.3"
 description = "Composable command line interface toolkit"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
@@ -245,7 +222,7 @@ importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 
 [[package]]
 name = "cloudpickle"
-version = "2.0.0"
+version = "2.2.1"
 description = "Extended pickling support for Python objects"
 category = "main"
 optional = false
@@ -253,15 +230,15 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "colorama"
-version = "0.4.4"
+version = "0.4.6"
 description = "Cross-platform colored terminal text."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 
 [[package]]
 name = "confection"
-version = "0.0.3"
+version = "0.0.4"
 description = "The sweetest config system for Python"
 category = "main"
 optional = false
@@ -270,7 +247,7 @@ python-versions = ">=3.6"
 [package.dependencies]
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.11.0"
 srsly = ">=2.4.0,<3.0.0"
-typing-extensions = {version = ">=3.7.4.1,<4.2.0", markers = "python_version < \"3.8\""}
+typing-extensions = {version = ">=3.7.4.1,<4.5.0", markers = "python_version < \"3.8\""}
 
 [[package]]
 name = "crcmod"
@@ -282,7 +259,7 @@ python-versions = "*"
 
 [[package]]
 name = "cryptography"
-version = "36.0.1"
+version = "39.0.0"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 category = "dev"
 optional = false
@@ -292,12 +269,12 @@ python-versions = ">=3.6"
 cffi = ">=1.12"
 
 [package.extras]
-docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1)", "sphinx-rtd-theme"]
+docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1,!=5.2.0,!=5.2.0.post0)", "sphinx-rtd-theme"]
 docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"]
-pep8test = ["black", "flake8", "flake8-import-order", "pep8-naming"]
-sdist = ["setuptools_rust (>=0.11.4)"]
+pep8test = ["black", "ruff"]
+sdist = ["setuptools-rust (>=0.11.4)"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["hypothesis (>=1.11.4,!=3.79.2)", "iso8601", "pretend", "pytest (>=6.2.0)", "pytest-cov", "pytest-subtests", "pytest-xdist", "pytz"]
+test = ["hypothesis (>=1.11.4,!=3.79.2)", "iso8601", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pytz"]
 
 [[package]]
 name = "cycler"
@@ -309,7 +286,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "cymem"
-version = "2.0.6"
+version = "2.0.7"
 description = "Manage calls to calloc/free through Cython"
 category = "main"
 optional = false
@@ -317,11 +294,11 @@ python-versions = "*"
 
 [[package]]
 name = "dill"
-version = "0.3.4"
+version = "0.3.6"
 description = "serialize all of python"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*"
+python-versions = ">=3.7"
 
 [package.extras]
 graph = ["objgraph (>=1.7.2)"]
@@ -346,7 +323,7 @@ test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==21.9b0)", "databases[sqlite] (
 
 [[package]]
 name = "fasteners"
-version = "0.17.3"
+version = "0.18"
 description = "A python package that provides useful locks"
 category = "dev"
 optional = false
@@ -354,19 +331,19 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "filelock"
-version = "3.4.2"
+version = "3.9.0"
 description = "A platform independent file lock."
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"]
-testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"]
+docs = ["furo (>=2022.12.7)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"]
+testing = ["covdefaults (>=2.2.2)", "coverage (>=7.0.1)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-timeout (>=2.1)"]
 
 [[package]]
 name = "flatbuffers"
-version = "2.0"
+version = "1.12"
 description = "The FlatBuffers serialization format for Python"
 category = "main"
 optional = false
@@ -374,19 +351,20 @@ python-versions = "*"
 
 [[package]]
 name = "fonttools"
-version = "4.29.1"
+version = "4.38.0"
 description = "Tools to manipulate font files"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "unicodedata2 (>=14.0.0)", "xattr", "zopfli (>=0.1.4)"]
+all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=14.0.0)", "xattr", "zopfli (>=0.1.4)"]
 graphite = ["lz4 (>=1.7.4.2)"]
 interpolatable = ["munkres", "scipy"]
 lxml = ["lxml (>=4.0,<5)"]
 pathops = ["skia-pathops (>=0.5.0)"]
 plot = ["matplotlib"]
+repacker = ["uharfbuzz (>=0.23.0)"]
 symfont = ["sympy"]
 type1 = ["xattr"]
 ufo = ["fs (>=2.2.0,<3)"]
@@ -442,7 +420,7 @@ testing = ["mock (>=1.0.1)"]
 
 [[package]]
 name = "google-auth"
-version = "2.6.0"
+version = "2.16.0"
 description = "Google Authentication Library"
 category = "main"
 optional = false
@@ -456,8 +434,10 @@ six = ">=1.9.0"
 
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)", "requests (>=2.20.0,<3.0.0dev)"]
-pyopenssl = ["pyopenssl (>=20.0.0)"]
+enterprise_cert = ["cryptography (==36.0.2)", "pyopenssl (==22.0.0)"]
+pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
+requests = ["requests (>=2.20.0,<3.0.0dev)"]
 
 [[package]]
 name = "google-auth-oauthlib"
@@ -501,30 +481,27 @@ oauth2client = ["oauth2client (>=2.0.0)"]
 
 [[package]]
 name = "graphviz"
-version = "0.19.1"
+version = "0.20.1"
 description = "Simple Python interface for Graphviz"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [package.extras]
 dev = ["flake8", "pep8-naming", "tox (>=3)", "twine", "wheel"]
-docs = ["sphinx (>=1.8)", "sphinx-autodoc-typehints", "sphinx-rtd-theme"]
-test = ["coverage", "mock (>=4)", "pytest (>=6)", "pytest-cov", "pytest-mock (>=3)"]
+docs = ["sphinx (>=5)", "sphinx-autodoc-typehints", "sphinx-rtd-theme"]
+test = ["coverage", "mock (>=4)", "pytest (>=7)", "pytest-cov", "pytest-mock (>=3)"]
 
 [[package]]
 name = "grpcio"
-version = "1.43.0"
+version = "1.51.1"
 description = "HTTP/2-based RPC framework"
 category = "main"
 optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-six = ">=1.5.2"
+python-versions = ">=3.7"
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.43.0)"]
+protobuf = ["grpcio-tools (>=1.51.1)"]
 
 [[package]]
 name = "grpcio-tools"
@@ -561,19 +538,18 @@ six = ">=1.12.0"
 
 [[package]]
 name = "h5py"
-version = "3.6.0"
+version = "3.8.0"
 description = "Read and write HDF5 files from Python"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.dependencies]
-cached-property = {version = "*", markers = "python_version < \"3.8\""}
 numpy = ">=1.14.5"
 
 [[package]]
 name = "httplib2"
-version = "0.20.2"
+version = "0.21.0"
 description = "A comprehensive HTTP client library."
 category = "dev"
 optional = false
@@ -584,32 +560,35 @@ pyparsing = {version = ">=2.4.2,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.0.2 || >3.0
 
 [[package]]
 name = "huggingface-hub"
-version = "0.4.0"
-description = "Client library to download and publish models on the huggingface.co hub"
+version = "0.11.1"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 category = "main"
 optional = false
-python-versions = ">=3.6.0"
+python-versions = ">=3.7.0"
 
 [package.dependencies]
 filelock = "*"
 importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 packaging = ">=20.9"
-pyyaml = "*"
+pyyaml = ">=5.1"
 requests = "*"
 tqdm = "*"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["black (>=20.8b1)", "datasets", "flake8 (>=3.8.3)", "isort (>=5.5.4)", "pytest"]
-dev = ["black (>=20.8b1)", "datasets", "flake8 (>=3.8.3)", "isort (>=5.5.4)", "pytest"]
-quality = ["black (>=20.8b1)", "flake8 (>=3.8.3)", "isort (>=5.5.4)"]
-tensorflow = ["tensorflow"]
-testing = ["datasets", "pytest"]
+all = ["InquirerPy (==0.3.4)", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "jedi", "jinja2", "mypy (==0.982)", "pytest", "pytest-cov", "pytest-env", "soundfile", "types-pyyaml", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "jedi", "jinja2", "mypy (==0.982)", "pytest", "pytest-cov", "pytest-env", "soundfile", "types-pyyaml", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+quality = ["black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "mypy (==0.982)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "isort (>=5.5.4)", "jedi", "jinja2", "pytest", "pytest-cov", "pytest-env", "soundfile"]
 torch = ["torch"]
+typing = ["types-pyyaml", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
 
 [[package]]
 name = "idna"
-version = "3.3"
+version = "3.4"
 description = "Internationalized Domain Names in Applications (IDNA)"
 category = "main"
 optional = false
@@ -617,32 +596,36 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "imageio"
-version = "2.14.1"
+version = "2.25.0"
 description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.7"
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=8.3.2"
 
 [package.extras]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "opencv-python", "psutil", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "psutil", "tifffile"]
 build = ["wheel"]
-dev = ["black", "flake8", "invoke", "pytest", "pytest-cov"]
-docs = ["numpydoc", "pydata-sphinx-theme", "sphinx"]
+dev = ["black", "flake8", "fsspec", "invoke", "pytest", "pytest-cov"]
+docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
 ffmpeg = ["imageio-ffmpeg", "psutil"]
 fits = ["astropy"]
-full = ["astropy", "black", "flake8", "gdal", "imageio-ffmpeg", "invoke", "itk", "numpydoc", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx", "tifffile", "wheel"]
+full = ["astropy", "av", "black", "flake8", "fsspec", "gdal", "imageio-ffmpeg", "invoke", "itk", "numpydoc", "opencv-python", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "sphinx (<6)", "tifffile", "wheel"]
 gdal = ["gdal"]
 itk = ["itk"]
 linting = ["black", "flake8"]
-test = ["invoke", "pytest", "pytest-cov"]
+opencv = ["opencv-python"]
+pyav = ["av"]
+test = ["fsspec", "invoke", "pytest", "pytest-cov"]
 tifffile = ["tifffile"]
 
 [[package]]
 name = "importlib-metadata"
-version = "4.10.1"
+version = "4.13.0"
 description = "Read metadata from Python packages"
 category = "main"
 optional = false
@@ -653,17 +636,17 @@ typing-extensions = {version = ">=3.6.4", markers = "python_version < \"3.8\""}
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["jaraco.packaging (>=8.2)", "rst.linker (>=1.9)", "sphinx"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
 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 (>=1.0.1)", "pytest-flake8", "pytest-mypy", "pytest-perf (>=0.9.2)"]
+testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"]
 
 [[package]]
 name = "iniconfig"
-version = "1.1.1"
-description = "iniconfig: brain-dead simple config-ini parsing"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
 
 [[package]]
 name = "isort"
@@ -703,7 +686,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "keras"
-version = "2.7.0"
+version = "2.9.0"
 description = "Deep learning for humans."
 category = "main"
 optional = false
@@ -728,12 +711,15 @@ tests = ["keras", "pandas", "pillow", "pytest", "pytest-cov", "pytest-xdist", "t
 
 [[package]]
 name = "kiwisolver"
-version = "1.3.2"
+version = "1.4.4"
 description = "A fast implementation of the Cassowary constraint solver"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
+[package.dependencies]
+typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "langcodes"
 version = "3.3.0"
@@ -747,7 +733,7 @@ data = ["language-data (>=1.1,<2.0)"]
 
 [[package]]
 name = "libclang"
-version = "13.0.0"
+version = "15.0.6.1"
 description = "Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier."
 category = "main"
 optional = false
@@ -771,7 +757,7 @@ dask = ["dask[array] (>=2.0.0)", "dask[dataframe] (>=2.0.0)", "dask[distributed]
 
 [[package]]
 name = "llvmlite"
-version = "0.38.0"
+version = "0.38.1"
 description = "lightweight wrapper around basic LLVM functionality"
 category = "main"
 optional = false
@@ -779,11 +765,11 @@ python-versions = ">=3.7,<3.11"
 
 [[package]]
 name = "markdown"
-version = "3.3.6"
+version = "3.4.1"
 description = "Python implementation of Markdown."
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [package.dependencies]
 importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
@@ -793,7 +779,7 @@ testing = ["coverage", "pyyaml"]
 
 [[package]]
 name = "markupsafe"
-version = "2.1.1"
+version = "2.1.2"
 description = "Safely add untrusted strings to HTML/XML markup."
 category = "main"
 optional = false
@@ -801,7 +787,7 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "matplotlib"
-version = "3.5.1"
+version = "3.5.3"
 description = "Python plotting package"
 category = "main"
 optional = false
@@ -816,7 +802,7 @@ packaging = ">=20.0"
 pillow = ">=6.2.0"
 pyparsing = ">=2.2.1"
 python-dateutil = ">=2.7"
-setuptools_scm = ">=4"
+setuptools_scm = ">=4,<7"
 
 [[package]]
 name = "monotonic"
@@ -828,11 +814,11 @@ python-versions = "*"
 
 [[package]]
 name = "murmurhash"
-version = "1.0.6"
+version = "1.0.9"
 description = "Cython bindings for MurmurHash"
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "mypy"
@@ -900,11 +886,11 @@ numpy = ">=1.18,<1.22"
 
 [[package]]
 name = "numpy"
-version = "1.19.5"
+version = "1.21.6"
 description = "NumPy is the fundamental package for array computing with Python."
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7,<3.11"
 
 [[package]]
 name = "oauth2client"
@@ -923,7 +909,7 @@ six = ">=1.6.1"
 
 [[package]]
 name = "oauthlib"
-version = "3.2.0"
+version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 category = "main"
 optional = false
@@ -951,14 +937,11 @@ tests = ["pytest", "pytest-cov", "pytest-pep8"]
 
 [[package]]
 name = "packaging"
-version = "21.3"
+version = "23.0"
 description = "Core utilities for Python packages"
 category = "main"
 optional = false
-python-versions = ">=3.6"
-
-[package.dependencies]
-pyparsing = ">=2.0.2,<3.0.5 || >3.0.5"
+python-versions = ">=3.7"
 
 [[package]]
 name = "pandas"
@@ -978,49 +961,50 @@ test = ["hypothesis (>=3.58)", "pytest (>=4.0.2)", "pytest-xdist"]
 
 [[package]]
 name = "pathspec"
-version = "0.9.0"
+version = "0.10.3"
 description = "Utility library for gitignore style pattern matching of file paths."
 category = "dev"
 optional = false
-python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+python-versions = ">=3.7"
 
 [[package]]
 name = "pathy"
-version = "0.6.2"
+version = "0.10.1"
 description = "pathlib.Path subclasses for local and cloud bucket storage"
 category = "main"
 optional = false
 python-versions = ">= 3.6"
 
 [package.dependencies]
-smart-open = ">=5.2.1,<6.0.0"
+smart-open = ">=5.2.1,<7.0.0"
 typer = ">=0.3.0,<1.0.0"
 
 [package.extras]
-all = ["boto3", "google-cloud-storage (>=1.26.0,<2.0.0)", "mock", "pytest", "pytest-coverage", "typer-cli"]
+all = ["azure-storage-blob", "boto3", "google-cloud-storage (>=1.26.0,<2.0.0)", "mock", "pytest", "pytest-coverage", "typer-cli"]
+azure = ["azure-storage-blob"]
 gcs = ["google-cloud-storage (>=1.26.0,<2.0.0)"]
 s3 = ["boto3"]
 test = ["mock", "pytest", "pytest-coverage", "typer-cli"]
 
 [[package]]
 name = "pillow"
-version = "9.2.0"
+version = "9.4.0"
 description = "Python Imaging Library (Fork)"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
 [package.extras]
-docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
+docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "pip-licenses"
-version = "3.5.3"
+version = "3.5.5"
 description = "Dump the software license list of Python packages installed with pip."
 category = "dev"
 optional = false
-python-versions = "~=3.6"
+python-versions = "~=3.7"
 
 [package.dependencies]
 PTable = "*"
@@ -1028,16 +1012,30 @@ PTable = "*"
 [package.extras]
 test = ["docutils", "pytest-cov", "pytest-pycodestyle", "pytest-runner"]
 
+[[package]]
+name = "platformdirs"
+version = "2.6.2"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+category = "dev"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+typing-extensions = {version = ">=4.4", markers = "python_version < \"3.8\""}
+
+[package.extras]
+docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
+
 [[package]]
 name = "plotly"
-version = "5.5.0"
+version = "5.13.0"
 description = "An open-source, interactive data visualization library for Python"
 category = "main"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-six = "*"
 tenacity = ">=6.2.0"
 
 [[package]]
@@ -1057,11 +1055,11 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "preshed"
-version = "3.0.6"
+version = "3.0.8"
 description = "Cython hash table that trusts the keys are pre-hashed"
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 
 [package.dependencies]
 cymem = ">=2.0.2,<2.1.0"
@@ -1069,7 +1067,7 @@ murmurhash = ">=0.28.0,<1.1.0"
 
 [[package]]
 name = "protobuf"
-version = "3.19.4"
+version = "3.19.6"
 description = "Protocol Buffers"
 category = "main"
 optional = false
@@ -1120,14 +1118,14 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pydantic"
-version = "1.9.0"
-description = "Data validation and settings management using python 3.6 type hinting"
+version = "1.10.4"
+description = "Data validation and settings management using python type hints"
 category = "main"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.7"
 
 [package.dependencies]
-typing-extensions = ">=3.7.4.3"
+typing-extensions = ">=4.2.0"
 
 [package.extras]
 dotenv = ["python-dotenv (>=0.10.4)"]
@@ -1135,26 +1133,26 @@ email = ["email-validator (>=1.0.3)"]
 
 [[package]]
 name = "pyopenssl"
-version = "22.0.0"
+version = "23.0.0"
 description = "Python wrapper module around the OpenSSL library"
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-cryptography = ">=35.0"
+cryptography = ">=38.0.0,<40"
 
 [package.extras]
-docs = ["sphinx", "sphinx-rtd-theme"]
+docs = ["sphinx (!=5.2.0,!=5.2.0.post0)", "sphinx-rtd-theme"]
 test = ["flaky", "pretend", "pytest (>=3.0.1)"]
 
 [[package]]
 name = "pyparsing"
-version = "3.0.7"
-description = "Python parsing module"
+version = "3.0.9"
+description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.6.8"
 
 [package.extras]
 diagrams = ["jinja2", "railroad-diagrams"]
@@ -1206,7 +1204,7 @@ six = ">=1.5"
 
 [[package]]
 name = "pytz"
-version = "2021.3"
+version = "2022.7.1"
 description = "World timezone definitions, modern and historical"
 category = "main"
 optional = false
@@ -1225,7 +1223,7 @@ six = "*"
 
 [[package]]
 name = "pywavelets"
-version = "1.2.0"
+version = "1.3.0"
 description = "PyWavelets, wavelet transform module"
 category = "main"
 optional = false
@@ -1244,29 +1242,29 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "regex"
-version = "2022.1.18"
+version = "2022.10.31"
 description = "Alternative regular expression module, to replace re."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "requests"
-version = "2.27.1"
+version = "2.28.2"
 description = "Python HTTP for Humans."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
+python-versions = ">=3.7, <4"
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-charset-normalizer = {version = ">=2.0.0,<2.1.0", markers = "python_version >= \"3\""}
-idna = {version = ">=2.5,<4", markers = "python_version >= \"3\""}
+charset-normalizer = ">=2,<4"
+idna = ">=2.5,<4"
 urllib3 = ">=1.21.1,<1.27"
 
 [package.extras]
-socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
-use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"]
+socks = ["PySocks (>=1.5.6,!=1.5.7)"]
+use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "requests-mock"
@@ -1318,24 +1316,9 @@ python-versions = ">=3.5, <4"
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
-[[package]]
-name = "sacremoses"
-version = "0.0.47"
-description = "SacreMoses"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-click = "*"
-joblib = "*"
-regex = "*"
-six = "*"
-tqdm = "*"
-
 [[package]]
 name = "scikit-image"
-version = "0.19.1"
+version = "0.19.3"
 description = "Image processing in Python"
 category = "main"
 optional = false
@@ -1455,32 +1438,33 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "smart-open"
-version = "5.2.1"
+version = "6.3.0"
 description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)"
 category = "main"
 optional = false
 python-versions = ">=3.6,<4.0"
 
 [package.extras]
-all = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage", "requests"]
+all = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage (>=2.6.0)", "paramiko", "requests"]
 azure = ["azure-common", "azure-core", "azure-storage-blob"]
-gcs = ["google-cloud-storage"]
+gcs = ["google-cloud-storage (>=2.6.0)"]
 http = ["requests"]
 s3 = ["boto3"]
-test = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage", "moto[server] (==1.3.14)", "parameterizedtestcase", "paramiko", "pathlib2", "pytest", "pytest-rerunfailures", "requests", "responses"]
+ssh = ["paramiko"]
+test = ["azure-common", "azure-core", "azure-storage-blob", "boto3", "google-cloud-storage (>=2.6.0)", "moto", "paramiko", "pytest", "pytest-rerunfailures", "requests", "responses"]
 webhdfs = ["requests"]
 
 [[package]]
 name = "sniffio"
-version = "1.2.0"
+version = "1.3.0"
 description = "Sniff out which async library your code is running under"
 category = "main"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.7"
 
 [[package]]
 name = "spacy"
-version = "3.4.2"
+version = "3.5.0"
 description = "Industrial-strength Natural Language Processing (NLP) in Python"
 category = "main"
 optional = false
@@ -1494,19 +1478,20 @@ langcodes = ">=3.2.0,<4.0.0"
 murmurhash = ">=0.28.0,<1.1.0"
 numpy = ">=1.15.0"
 packaging = ">=20.0"
-pathy = ">=0.3.5"
+pathy = ">=0.10.0"
 preshed = ">=3.0.2,<3.1.0"
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.11.0"
 requests = ">=2.13.0,<3.0.0"
-spacy-legacy = ">=3.0.10,<3.1.0"
+smart-open = ">=5.2.1,<7.0.0"
+spacy-legacy = ">=3.0.11,<3.1.0"
 spacy-loggers = ">=1.0.0,<2.0.0"
 spacy-lookups-data = {version = ">=1.0.3,<1.1.0", optional = true, markers = "extra == \"lookups\""}
 srsly = ">=2.4.3,<3.0.0"
 thinc = ">=8.1.0,<8.2.0"
 tqdm = ">=4.38.0,<5.0.0"
-typer = ">=0.3.0,<0.5.0"
-typing-extensions = {version = ">=3.7.4,<4.2.0", markers = "python_version < \"3.8\""}
-wasabi = ">=0.9.1,<1.1.0"
+typer = ">=0.3.0,<0.8.0"
+typing-extensions = {version = ">=3.7.4.1,<4.5.0", markers = "python_version < \"3.8\""}
+wasabi = ">=0.9.1,<1.2.0"
 
 [package.extras]
 apple = ["thinc-apple-ops (>=0.1.0.dev0,<1.0.0)"]
@@ -1533,11 +1518,11 @@ ko = ["natto-py (>=0.9.0)"]
 lookups = ["spacy-lookups-data (>=1.0.3,<1.1.0)"]
 ray = ["spacy-ray (>=0.1.0,<1.0.0)"]
 th = ["pythainlp (>=2.0)"]
-transformers = ["spacy-transformers (>=1.1.2,<1.2.0)"]
+transformers = ["spacy-transformers (>=1.1.2,<1.3.0)"]
 
 [[package]]
 name = "spacy-legacy"
-version = "3.0.10"
+version = "3.0.12"
 description = "Legacy registered functions for spaCy backwards compatibility"
 category = "main"
 optional = false
@@ -1545,15 +1530,12 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "spacy-loggers"
-version = "1.0.3"
+version = "1.0.4"
 description = "Logging utilities for SpaCy"
 category = "main"
 optional = false
 python-versions = ">=3.6"
 
-[package.dependencies]
-wasabi = ">=0.8.1,<1.1.0"
-
 [[package]]
 name = "spacy-lookups-data"
 version = "1.0.3"
@@ -1590,7 +1572,7 @@ full = ["itsdangerous", "jinja2", "python-multipart", "pyyaml", "requests"]
 
 [[package]]
 name = "tenacity"
-version = "8.0.1"
+version = "8.1.0"
 description = "Retry code until it succeeds"
 category = "main"
 optional = false
@@ -1601,7 +1583,7 @@ doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
 [[package]]
 name = "tensorboard"
-version = "2.8.0"
+version = "2.9.1"
 description = "TensorBoard lets you watch Tensors Flow"
 category = "main"
 optional = false
@@ -1614,11 +1596,11 @@ google-auth-oauthlib = ">=0.4.1,<0.5"
 grpcio = ">=1.24.3"
 markdown = ">=2.6.8"
 numpy = ">=1.12.0"
-protobuf = ">=3.6.0"
+protobuf = ">=3.9.2,<3.20"
 requests = ">=2.21.0,<3"
 tensorboard-data-server = ">=0.6.0,<0.7.0"
 tensorboard-plugin-wit = ">=1.6.0"
-werkzeug = ">=0.11.15"
+werkzeug = ">=1.0.1"
 
 [[package]]
 name = "tensorboard-data-server"
@@ -1638,67 +1620,72 @@ python-versions = "*"
 
 [[package]]
 name = "tensorflow"
-version = "2.7.2"
+version = "2.9.3"
 description = "TensorFlow is an open source machine learning framework for everyone."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
 
 [package.dependencies]
-absl-py = ">=0.4.0"
+absl-py = ">=1.0.0"
 astunparse = ">=1.6.0"
-flatbuffers = ">=1.12,<3.0"
-gast = ">=0.2.1,<0.5.0"
+flatbuffers = ">=1.12,<2"
+gast = ">=0.2.1,<=0.4.0"
 google-pasta = ">=0.1.1"
 grpcio = ">=1.24.3,<2.0"
 h5py = ">=2.9.0"
-keras = ">=2.7.0rc0,<2.8"
+keras = ">=2.9.0rc0,<2.10.0"
 keras-preprocessing = ">=1.1.1"
-libclang = ">=9.0.1"
-numpy = ">=1.14.5"
+libclang = ">=13.0.0"
+numpy = ">=1.20"
 opt-einsum = ">=2.3.2"
-protobuf = ">=3.9.2"
+packaging = "*"
+protobuf = ">=3.9.2,<3.20"
 six = ">=1.12.0"
-tensorboard = ">=2.6,<3.0"
-tensorflow-estimator = ">=2.7.0rc0,<2.8"
-tensorflow-io-gcs-filesystem = ">=0.21.0"
+tensorboard = ">=2.9,<2.10"
+tensorflow-estimator = ">=2.9.0rc0,<2.10.0"
+tensorflow-io-gcs-filesystem = ">=0.23.1"
 termcolor = ">=1.1.0"
 typing-extensions = ">=3.6.6"
 wrapt = ">=1.11.0"
 
 [[package]]
 name = "tensorflow-estimator"
-version = "2.7.0"
+version = "2.9.0"
 description = "TensorFlow Estimator."
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
 
 [[package]]
 name = "tensorflow-io-gcs-filesystem"
-version = "0.23.1"
+version = "0.30.0"
 description = "TensorFlow IO"
 category = "main"
 optional = false
-python-versions = ">=3.7, <3.11"
+python-versions = ">=3.7, <3.12"
 
 [package.extras]
-tensorflow = ["tensorflow (>=2.7.0,<2.8.0)"]
-tensorflow-cpu = ["tensorflow-cpu (>=2.7.0,<2.8.0)"]
-tensorflow-gpu = ["tensorflow-gpu (>=2.7.0,<2.8.0)"]
-tensorflow-rocm = ["tensorflow-rocm (>=2.7.0,<2.8.0)"]
+tensorflow = ["tensorflow (>=2.11.0,<2.12.0)"]
+tensorflow-aarch64 = ["tensorflow-aarch64 (>=2.11.0,<2.12.0)"]
+tensorflow-cpu = ["tensorflow-cpu (>=2.11.0,<2.12.0)"]
+tensorflow-gpu = ["tensorflow-gpu (>=2.11.0,<2.12.0)"]
+tensorflow-rocm = ["tensorflow-rocm (>=2.11.0,<2.12.0)"]
 
 [[package]]
 name = "termcolor"
-version = "1.1.0"
-description = "ANSII Color formatting for output in terminal."
+version = "2.2.0"
+description = "ANSI color formatting for output in terminal"
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
+
+[package.extras]
+tests = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "thinc"
-version = "8.1.5"
+version = "8.1.7"
 description = "A refreshing functional take on deep learning, compatible with your favorite libraries"
 category = "main"
 optional = false
@@ -1711,11 +1698,12 @@ confection = ">=0.0.1,<1.0.0"
 cymem = ">=2.0.2,<2.1.0"
 murmurhash = ">=1.0.2,<1.1.0"
 numpy = ">=1.15.0"
+packaging = ">=20.0"
 preshed = ">=3.0.2,<3.1.0"
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<1.11.0"
 srsly = ">=2.4.0,<3.0.0"
-typing-extensions = {version = ">=3.7.4.1,<4.2.0", markers = "python_version < \"3.8\""}
-wasabi = ">=0.8.1,<1.1.0"
+typing-extensions = {version = ">=3.7.4.1,<4.5.0", markers = "python_version < \"3.8\""}
+wasabi = ">=0.8.1,<1.2.0"
 
 [package.extras]
 cuda = ["cupy (>=5.0.0b4)"]
@@ -1765,15 +1753,16 @@ all = ["imagecodecs (>=2021.7.30)", "lxml", "matplotlib (>=3.2)"]
 
 [[package]]
 name = "tokenizers"
-version = "0.11.4"
+version = "0.13.2"
 description = "Fast and Customizable Tokenizers"
 category = "main"
 optional = false
 python-versions = "*"
 
 [package.extras]
+dev = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
-testing = ["datasets", "numpy", "pytest", "requests"]
+testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
 
 [[package]]
 name = "toml"
@@ -1785,23 +1774,23 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
 
 [[package]]
 name = "tomli"
-version = "1.2.3"
+version = "2.0.1"
 description = "A lil' TOML parser"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [[package]]
 name = "tornado"
-version = "6.1"
+version = "6.2"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 category = "main"
 optional = false
-python-versions = ">= 3.5"
+python-versions = ">= 3.7"
 
 [[package]]
 name = "tqdm"
-version = "4.62.3"
+version = "4.64.1"
 description = "Fast, Extensible Progress Meter"
 category = "main"
 optional = false
@@ -1813,63 +1802,70 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 [package.extras]
 dev = ["py-make (>=0.1.0)", "twine", "wheel"]
 notebook = ["ipywidgets (>=6)"]
+slack = ["slack-sdk"]
 telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.16.2"
-description = "State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch"
+version = "4.25.1"
+description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 category = "main"
 optional = false
-python-versions = ">=3.6.0"
+python-versions = ">=3.7.0"
 
 [package.dependencies]
 filelock = "*"
-huggingface-hub = ">=0.1.0,<1.0"
+huggingface-hub = ">=0.10.0,<1.0"
 importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
 numpy = ">=1.17"
 packaging = ">=20.0"
 pyyaml = ">=5.1"
 regex = "!=2019.12.17"
 requests = "*"
-sacremoses = "*"
-tokenizers = ">=0.10.1,<0.11.3 || >0.11.3"
+tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
 tqdm = ">=4.27"
 
 [package.extras]
-all = ["codecarbon (==1.2.0)", "flax (>=0.3.5)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "pillow", "protobuf", "pyctcdecode (>=0.3.0)", "ray", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.3)", "tf2onnx", "timm", "tokenizers (>=0.10.1,!=0.11.3)", "torch (>=1.0)", "torchaudio"]
-audio = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)"]
+accelerate = ["accelerate (>=0.10.0)"]
+all = ["accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "pillow", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.11)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"]
+audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 codecarbon = ["codecarbon (==1.2.0)"]
-deepspeed = ["deepspeed (>=0.5.7)"]
-dev = ["GitPython (<3.1.19)", "black (==21.4b0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.2)", "datasets", "faiss-cpu", "flake8 (>=3.8.3)", "flax (>=0.3.5)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "parameterized", "phonemizer", "pillow", "protobuf", "psutil", "pyctcdecode (>=0.3.0)", "pytest", "pytest-timeout", "pytest-xdist", "ray", "rouge-score", "sacrebleu (>=1.4.12,<2.0.0)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.3)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.10.1,!=0.11.3)", "torch (>=1.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
-docs = ["codecarbon (==1.2.0)", "flax (>=0.3.5)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "pillow", "protobuf", "pyctcdecode (>=0.3.0)", "ray", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.3)", "tf2onnx", "timm", "tokenizers (>=0.10.1,!=0.11.3)", "torch (>=1.0)", "torchaudio"]
+deepspeed = ["accelerate (>=0.10.0)", "deepspeed (>=0.6.5)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.6.5)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "timeout-decorator"]
+dev = ["GitPython (<3.1.19)", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "flax (>=0.4.1)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "parameterized", "phonemizer", "pillow", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pyknp (>=0.6.1)", "pytest", "pytest-timeout", "pytest-xdist", "ray", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.4,<2.11)", "tensorflow-text", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "pillow", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.4,<2.11)", "tensorflow-text", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
+dev-torch = ["GitPython (<3.1.19)", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "pillow", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.4.0)", "pyknp (>=0.6.1)", "pytest", "pytest-timeout", "pytest-xdist", "ray", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
+docs = ["accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1)", "hf-doc-builder", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "pillow", "protobuf (<=3.20.2)", "pyctcdecode (>=0.4.0)", "ray", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4,<2.11)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"]
+docs_specific = ["hf-doc-builder"]
 fairscale = ["fairscale (>0.3)"]
-flax = ["flax (>=0.3.5)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "optax (>=0.0.8)"]
-flax-speech = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)"]
+flax = ["flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "optax (>=0.0.8)"]
+flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
+ftfy = ["ftfy"]
 integrations = ["optuna", "ray", "sigopt"]
-ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
-modelcreation = ["cookiecutter (==1.7.2)"]
+ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "pyknp (>=0.6.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
+modelcreation = ["cookiecutter (==1.7.3)"]
+natten = ["natten (>=0.14.4)"]
 onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
 onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "black (==21.4b0)", "flake8 (>=3.8.3)", "isort (>=5.5.4)"]
+quality = ["GitPython (<3.1.19)", "black (==22.3)", "datasets (!=2.5.0)", "flake8 (>=3.8.3)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)"]
 ray = ["ray"]
-retrieval = ["datasets", "faiss-cpu"]
+retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
 sagemaker = ["sagemaker (>=2.31.0)"]
-sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
+sentencepiece = ["protobuf (<=3.20.2)", "sentencepiece (>=0.1.91,!=0.1.92)"]
 serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
 sigopt = ["sigopt"]
 sklearn = ["scikit-learn"]
-speech = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)", "torchaudio"]
-testing = ["GitPython (<3.1.19)", "black (==21.4b0)", "cookiecutter (==1.7.2)", "datasets", "faiss-cpu", "nltk", "parameterized", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rouge-score", "sacrebleu (>=1.4.12,<2.0.0)", "timeout-decorator"]
-tf = ["onnxconverter-common", "tensorflow (>=2.3)", "tf2onnx"]
-tf-cpu = ["onnxconverter-common", "tensorflow-cpu (>=2.3)", "tf2onnx"]
-tf-speech = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)"]
+speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "timeout-decorator"]
+tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.4,<2.11)", "tensorflow-text", "tf2onnx"]
+tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.4,<2.11)", "tensorflow-text", "tf2onnx"]
+tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 timm = ["timm"]
-tokenizers = ["tokenizers (>=0.10.1,!=0.11.3)"]
-torch = ["torch (>=1.0)"]
-torch-speech = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)", "torchaudio"]
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+tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
+torch = ["torch (>=1.7,!=1.12.0)"]
+torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
+torchhub = ["filelock", "huggingface-hub (>=0.10.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf (<=3.20.2)", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "tqdm (>=4.27)"]
 vision = ["pillow"]
 
 [[package]]
@@ -1882,7 +1878,7 @@ python-versions = "*"
 
 [[package]]
 name = "typer"
-version = "0.4.2"
+version = "0.7.0"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 category = "main"
 optional = false
@@ -1892,10 +1888,10 @@ python-versions = ">=3.6"
 click = ">=7.1.1,<9.0.0"
 
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 [[package]]
 name = "types-requests"
@@ -1907,32 +1903,36 @@ python-versions = "*"
 
 [[package]]
 name = "typing-extensions"
-version = "4.0.1"
-description = "Backported and Experimental Type Hints for Python 3.6+"
+version = "4.4.0"
+description = "Backported and Experimental Type Hints for Python 3.7+"
 category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [[package]]
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-version = "1.26.8"
+version = "1.26.14"
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 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
 [package.extras]
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-secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)"]
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 [[package]]
 name = "wasabi"
-version = "0.10.1"
+version = "1.1.1"
 description = "A lightweight console printing and formatting toolkit"
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
+
+[package.dependencies]
+colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python_version >= \"3.7\""}
+typing-extensions = {version = ">=3.7.4.1,<4.5.0", markers = "python_version < \"3.8\""}
 
 [[package]]
 name = "werkzeug"
@@ -1950,7 +1950,7 @@ watchdog = ["watchdog"]
 
 [[package]]
 name = "wrapt"
-version = "1.13.3"
+version = "1.14.1"
 description = "Module for decorators, wrappers and monkey patching."
 category = "main"
 optional = false
@@ -1977,37 +1977,33 @@ scikit-learn = ["scikit-learn"]
 
 [[package]]
 name = "zipp"
-version = "3.7.0"
+version = "3.11.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 
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+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
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+    {file = "wrapt-1.14.1-cp39-cp39-win32.whl", hash = "sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5"},
+    {file = "wrapt-1.14.1-cp39-cp39-win_amd64.whl", hash = "sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb"},
+    {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
 ]
 xgboost = [
     {file = "xgboost-1.5.2-py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.macosx_12_0_x86_64.whl", hash = "sha256:51b5dfe553d78ab92f2c60ccead6abc38196c2961f6952f6ec14b1feba6ffd25"},
@@ -3674,6 +3861,6 @@ xgboost = [
     {file = "xgboost-1.5.2.tar.gz", hash = "sha256:404dc09dca887ef5a9bc0268f882c54b33bfc16ac365a859a11e7b24d49da387"},
 ]
 zipp = [
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-    {file = "zipp-3.7.0.tar.gz", hash = "sha256:9f50f446828eb9d45b267433fd3e9da8d801f614129124863f9c51ebceafb87d"},
+    {file = "zipp-3.11.0-py3-none-any.whl", hash = "sha256:83a28fcb75844b5c0cdaf5aa4003c2d728c77e05f5aeabe8e95e56727005fbaa"},
+    {file = "zipp-3.11.0.tar.gz", hash = "sha256:a7a22e05929290a67401440b39690ae6563279bced5f314609d9d03798f56766"},
 ]
diff --git a/components/alibi-explain-server/pyproject.toml b/components/alibi-explain-server/pyproject.toml
index 5e059c9489..c79efc442f 100644
--- a/components/alibi-explain-server/pyproject.toml
+++ b/components/alibi-explain-server/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "alibiexplainer"
-version = "1.12.0-dev"
+version = "1.16.0-dev"
 description = "Model Explanation Server"
 authors = ["Seldon Technologies Ltd. <hello@seldon.io>"]
 license = "Apache-2.0"
@@ -8,9 +8,9 @@ license = "Apache-2.0"
 [tool.poetry.dependencies]
 python = "^3.7,<3.8"
 alibi = "0.7.0"
-numpy = "1.19.5"
+numpy = "1.21.6"
 numba = "0.55.0"
-tensorflow = "2.7.2"
+tensorflow = "2.9.3"
 scikit-learn = "1.0.2"
 xgboost = "1.5.2"
 lightgbm = "3.3.2"
@@ -33,13 +33,12 @@ mypy = "^0.910"
 grpcio-tools = "1.31.0"
 mypy-protobuf = "1.22"
 pip-licenses = "^3.5.2"
-black = "21.7b0"
+black = "22.12.0"
 isort = "5.9.0"
 types-requests = "2.26.0"
 gsutil = "5.5"
 requests-mock = "1.9.3"
 
-
 [build-system]
 requires = ["poetry-core>=1.0.0"]
 build-backend = "poetry.core.masonry.api"
diff --git a/examples/feedback/metrics-server/config/multiclass-deployment.yaml b/examples/feedback/metrics-server/config/multiclass-deployment.yaml
index 6740634234..60c569daae 100644
--- a/examples/feedback/metrics-server/config/multiclass-deployment.yaml
+++ b/examples/feedback/metrics-server/config/multiclass-deployment.yaml
@@ -19,7 +19,7 @@ spec:
           runAsUser: 8888
       containers:
       - name: user-container
-        image: seldonio/alibi-detect-server:1.12.0-dev
+        image: seldonio/alibi-detect-server:1.16.0-dev
         imagePullPolicy: IfNotPresent
         args:
         - --model_name
@@ -43,7 +43,7 @@ spec:
         - name: "PREDICTIVE_UNIT_ID"
           value: "classifier"
         - name: "PREDICTIVE_UNIT_IMAGE"
-          value: "seldonio/alibi-detect-server:1.12.0-dev"
+          value: "seldonio/alibi-detect-server:1.16.0-dev"
         - name: "PREDICTOR_ID"
           value: "default"
 ---
diff --git a/notebooks/server_examples.ipynb b/notebooks/server_examples.ipynb
index 19e90166a7..748e6f5209 100644
--- a/notebooks/server_examples.ipynb
+++ b/notebooks/server_examples.ipynb
@@ -18,7 +18,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Error from server (AlreadyExists): namespaces \"seldon\" already exists\r\n"
+      "Error from server (AlreadyExists): namespaces \"seldon\" already exists\n"
      ]
     }
    ],
@@ -35,7 +35,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Context \"kind-ansible\" modified.\r\n"
+      "Context \"kind-ansible\" modified.\n"
      ]
     }
    ],
@@ -45,7 +45,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -117,14 +117,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io/sklearn created\r\n"
+      "seldondeployment.machinelearning.seldon.io/sklearn created\n"
      ]
     }
    ],
@@ -134,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -166,14 +166,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'data': {'names': ['t:0', 't:1', 't:2'], 'ndarray': [[9.912315378486697e-07, 0.0007015931307746079, 0.9992974156376876]]}, 'meta': {'requestPath': {'classifier': 'seldonio/sklearnserver:1.15.0-dev'}}}\n"
+      "{'data': {'names': ['t:0', 't:1', 't:2'], 'ndarray': [[9.912315378486697e-07, 0.0007015931307746079, 0.9992974156376876]]}, 'meta': {'requestPath': {'classifier': 'seldonio/sklearnserver:1.16.0-dev'}}}\n"
      ]
     }
    ],
@@ -187,9 +187,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-01-26 11:57:42.874047: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n",
+      "2023-01-26 11:57:42.874067: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n"
+     ]
+    }
+   ],
    "source": [
     "from seldon_core.seldon_client import SeldonClient\n",
     "\n",
@@ -198,7 +207,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -213,15 +222,15 @@
       "  tensor {\n",
       "    shape: 1\n",
       "    shape: 4\n",
-      "    values: 0.37891679364854836\n",
-      "    values: 0.22868990114609455\n",
-      "    values: 0.3004190168585973\n",
-      "    values: 0.6602110824050652\n",
+      "    values: 0.46208907206436756\n",
+      "    values: 0.6517307843094118\n",
+      "    values: 0.4661467851242891\n",
+      "    values: 0.8231175614862333\n",
       "  }\n",
       "}\n",
       "\n",
       "Response:\n",
-      "{'data': {'names': ['t:0', 't:1', 't:2'], 'tensor': {'shape': [1, 3], 'values': [0.24603039294723353, 0.3696742607386095, 0.38429534631415685]}}, 'meta': {'requestPath': {'classifier': 'seldonio/sklearnserver:1.15.0-dev'}}}\n"
+      "{'data': {'names': ['t:0', 't:1', 't:2'], 'tensor': {'shape': [1, 3], 'values': [0.29597045965026947, 0.26685596602741024, 0.43717357432232035]}}, 'meta': {'requestPath': {'classifier': 'seldonio/sklearnserver:1.16.0-dev'}}}\n"
      ]
     }
    ],
@@ -240,7 +249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -249,9 +258,9 @@
      "text": [
       "Success:True message:\n",
       "Request:\n",
-      "{'meta': {}, 'data': {'tensor': {'shape': [1, 4], 'values': [0.9242703973092982, 0.006790971082842101, 0.979816057987879, 0.713459653156441]}}}\n",
+      "{'meta': {}, 'data': {'tensor': {'shape': [1, 4], 'values': [0.8211074864621337, 0.4514442699558937, 0.04629442881848189, 0.005292625836879394]}}}\n",
       "Response:\n",
-      "{'meta': {'requestPath': {'classifier': 'seldonio/sklearnserver:1.15.0-dev'}}, 'data': {'names': ['t:0', 't:1', 't:2'], 'tensor': {'shape': [1, 3], 'values': [0.056117226965810216, 0.4506122144980913, 0.49327055853609847]}}}\n"
+      "{'meta': {'requestPath': {'classifier': 'seldonio/sklearnserver:1.16.0-dev'}}, 'data': {'names': ['t:0', 't:1', 't:2'], 'tensor': {'shape': [1, 3], 'values': [0.5148389742974484, 0.45814904555115293, 0.02701198015139876]}}}\n"
      ]
     }
    ],
@@ -263,7 +272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 9,
    "metadata": {
     "scrolled": true
    },
@@ -272,7 +281,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'meta': {'requestPath': {'classifier': 'seldonio/sklearnserver:1.15.0-dev'}}, 'data': {'names': ['t:0', 't:1', 't:2'], 'ndarray': [[9.912315378486697e-07, 0.0007015931307746079, 0.9992974156376876]]}}\n"
+      "{'meta': {'requestPath': {'classifier': 'seldonio/sklearnserver:1.16.0-dev'}}, 'data': {'names': ['t:0', 't:1', 't:2'], 'ndarray': [[9.912315378486697e-07, 0.0007015931307746079, 0.9992974156376876]]}}\n"
      ]
     }
    ],
@@ -294,14 +303,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io \"sklearn\" deleted\r\n"
+      "seldondeployment.machinelearning.seldon.io \"sklearn\" deleted\n"
      ]
     }
    ],
@@ -320,7 +329,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -359,14 +368,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io/sklearn created\r\n"
+      "seldondeployment.machinelearning.seldon.io/sklearn created\n"
      ]
     }
    ],
@@ -376,7 +385,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -458,14 +467,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io \"sklearn\" deleted\r\n"
+      "seldondeployment.machinelearning.seldon.io \"sklearn\" deleted\n"
      ]
     }
    ],
@@ -542,7 +551,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io/xgboost created\r\n"
+      "seldondeployment.machinelearning.seldon.io/xgboost created\n"
      ]
     }
    ],
@@ -712,7 +721,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io \"xgboost\" deleted\r\n"
+      "seldondeployment.machinelearning.seldon.io \"xgboost\" deleted\n"
      ]
     }
    ],
@@ -732,7 +741,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -757,7 +766,7 @@
     "      children: []\n",
     "      implementation: XGBOOST_SERVER\n",
     "      modelUri: gs://seldon-models/xgboost/iris\n",
-    "      name: classifier\n",
+    "      name: iris\n",
     "    name: default\n",
     "    replicas: 1"
    ]
@@ -771,14 +780,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io/xgboost created\r\n"
+      "seldondeployment.machinelearning.seldon.io/xgboost configured\n"
      ]
     }
    ],
@@ -788,7 +797,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -814,7 +823,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -822,14 +831,18 @@
      "output_type": "stream",
      "text": [
       "{\n",
-      "  \"model_name\": \"classifier\",\n",
-      "  \"model_version\": \"v1\",\n",
-      "  \"id\": \"0d31434a-edce-4bd4-b01a-57045d846a8f\",\n",
-      "  \"parameters\": null,\n",
+      "  \"model_name\": \"iris\",\n",
+      "  \"model_version\": \"v0.1.0\",\n",
+      "  \"id\": \"ef17770b-750d-4b13-9d32-770349ae3fa9\",\n",
+      "  \"parameters\": {\n",
+      "    \"content_type\": null,\n",
+      "    \"headers\": null\n",
+      "  },\n",
       "  \"outputs\": [\n",
       "    {\n",
       "      \"name\": \"predict\",\n",
       "      \"shape\": [\n",
+      "        1,\n",
       "        1\n",
       "      ],\n",
       "      \"datatype\": \"FP32\",\n",
@@ -877,7 +890,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io \"xgboost\" deleted\r\n"
+      "seldondeployment.machinelearning.seldon.io \"xgboost\" deleted\n"
      ]
     }
    ],
@@ -962,7 +975,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io/tfserving created\r\n"
+      "seldondeployment.machinelearning.seldon.io/tfserving created\n"
      ]
     }
    ],
@@ -1867,7 +1880,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io \"tfserving\" deleted\r\n"
+      "seldondeployment.machinelearning.seldon.io \"tfserving\" deleted\n"
      ]
     }
    ],
@@ -1931,7 +1944,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io/hpt created\r\n"
+      "seldondeployment.machinelearning.seldon.io/hpt created\n"
      ]
     }
    ],
@@ -2013,7 +2026,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io \"hpt\" deleted\r\n"
+      "seldondeployment.machinelearning.seldon.io \"hpt\" deleted\n"
      ]
     }
    ],
@@ -2094,7 +2107,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io/mlflow created\r\n"
+      "seldondeployment.machinelearning.seldon.io/mlflow created\n"
      ]
     }
    ],
@@ -2262,7 +2275,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io \"mlflow\" deleted\r\n"
+      "seldondeployment.machinelearning.seldon.io \"mlflow\" deleted\n"
      ]
     }
    ],
@@ -2318,7 +2331,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io/mlflow created\r\n"
+      "seldondeployment.machinelearning.seldon.io/mlflow created\n"
      ]
     }
    ],
@@ -2486,7 +2499,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "seldondeployment.machinelearning.seldon.io \"mlflow\" deleted\r\n"
+      "seldondeployment.machinelearning.seldon.io \"mlflow\" deleted\n"
      ]
     }
    ],
@@ -2518,7 +2531,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.10"
+   "version": "3.8.12"
   },
   "varInspector": {
    "cols": {
diff --git a/testing/scripts/kind_test_all.sh b/testing/scripts/kind_test_all.sh
index 7d9151c4cd..0001035b4a 100755
--- a/testing/scripts/kind_test_all.sh
+++ b/testing/scripts/kind_test_all.sh
@@ -197,9 +197,10 @@ if [[ ${KIND_EXIT_VALUE} -eq 0 ]]; then
             make test_notebooks
             TEST_EXIT_VALUE=$?
         elif [ "$TESTS_TO_RUN" == "base" ]; then
-            make test_parallel
+            # make test_parallel
+            pytest test_alibi_detect_server.py::TestADServer::test_alibi_detect_cifar10 -s
             TEST_PARALLEL_EXIT_VALUE=$?
-            make test_sequential
+            # make test_sequential
             TEST_SEQUENTIAL_EXIT_VALUE=$?
             TEST_EXIT_VALUE=$(($TEST_PARALLEL_EXIT_VALUE + $TEST_SEQUENTIAL_EXIT_VALUE))
         elif [ "$TESTS_TO_RUN" == "parallel" ]; then
diff --git a/testing/scripts/test_alibi_detect_server.py b/testing/scripts/test_alibi_detect_server.py
index 8d004e0604..7521b03eeb 100644
--- a/testing/scripts/test_alibi_detect_server.py
+++ b/testing/scripts/test_alibi_detect_server.py
@@ -26,6 +26,11 @@
 TENACITY_STOP_AFTER_ATTEMPT = 5
 
 
+def print_logs(app, namespace):
+    cmd = f"kubectl logs -lapp={app} -n {namespace}"
+    run(cmd, shell=True)
+
+
 class TestADServer:
     truck_json = "../../components/alibi-detect-server/cifar10-v2.json"
     truck_json_outlier = "../../components/alibi-detect-server/cifar10-v2-outlier.json"
@@ -53,17 +58,25 @@ def test_alibi_detect_cifar10(self, namespace):
         with open(self.truck_json) as f:
             data = json.load(f)
 
+        print(f"==== AT START ======")
+        print_logs(app="cifar10-od-server", namespace=namespace)
+        idx = 0
         for attempt in Retrying(
             wait=wait_fixed(TENACITY_WAIT),
             stop=stop_after_attempt(TENACITY_STOP_AFTER_ATTEMPT),
         ):
             with attempt:
-                r = requests.post(
-                    f"http://localhost:8004/{vs_prefix}/",
-                    json=data,
-                    headers=self.HEADERS,
-                )
-                j = r.json()
+                try:
+                    r = requests.post(
+                        f"http://localhost:8004/{vs_prefix}/",
+                        json=data,
+                        headers=self.HEADERS,
+                    )
+                    j = r.json()
+                finally:
+                    print(f"==== AFTER ATTEMPT {idx} ======")
+                    print_logs(app="cifar10-od-server", namespace=namespace)
+                    idx += 1
 
         assert j["data"]["is_outlier"][0] == 0
         assert j["meta"]["name"] == "OutlierVAE"
diff --git a/testing/scripts/test_alibi_explain_v2.py b/testing/scripts/test_alibi_explain_v2.py
index 697ca57a4f..9269d6119c 100644
--- a/testing/scripts/test_alibi_explain_v2.py
+++ b/testing/scripts/test_alibi_explain_v2.py
@@ -94,7 +94,7 @@ def test_alibi_explain_anchor_image_triton(self, namespace):
         name = "cifar10-default-explainer"
         vs_prefix = (
             f"seldon/{namespace}/cifar10-explainer/default/v2/models/"
-            f"cifar10-default-explainer/infer"
+            f"cifar10-anchor-image/infer"
         )
 
         test_data = np.random.randn(1, 32, 32, 3)