Repository: indica-mcf/Indica (language: python)

Issue:
Update xarray
Our xarray version is currently pinned to a version released in 2020. I believe there have been some improvements since then and unpinning would allow better compatibility with other tools potentially installed.


Discussion / hints:

Fix patch:
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml
index ec90846c..ae862aac 100644
--- a/.github/workflows/quality.yml
+++ b/.github/workflows/quality.yml
@@ -46,7 +46,7 @@ jobs:
     - name: Install Poetry
       uses: abatilo/actions-poetry@v2.0.0
       with:
-        poetry-version: 1.1.15
+        poetry-version: 1.4.1
 
     - name: Configure poetry
       shell: bash
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 43aec2b1..41e89f94 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -27,6 +27,6 @@ repos:
       - flake8-import-order
       name: "Check Code Style Using flake8"
 -   repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v0.942  # Use the sha / tag you want to point at
+    rev: v1.1.1  # Use the sha / tag you want to point at
     hooks:
     -   id: mypy
diff --git a/indica/converters/abstractconverter.py b/indica/converters/abstractconverter.py
index 4f53e670..d0134c2b 100644
--- a/indica/converters/abstractconverter.py
+++ b/indica/converters/abstractconverter.py
@@ -9,7 +9,6 @@
 from typing import Optional
 from typing import Tuple
 
-import numpy as np
 from xarray import DataArray
 from xarray import zeros_like
 
@@ -295,7 +294,7 @@ def distance(
         R, z = cast(Tuple[DataArray, DataArray], self.convert_to_Rz(x1, x2, t))
         if isinstance(R, (int, float)) or isinstance(z, (int, float)):
             raise ValueError("Arguments x1 and x2 must be xarray DataArray objects.")
-        spacings = np.sqrt(R.diff(direction) ** 2 + z.diff(direction) ** 2)
+        spacings = (R.diff(direction) ** 2 + z.diff(direction) ** 2) ** 0.5
         result = zeros_like(R.broadcast_like(z))
         result[{direction: slice(1, None)}] = spacings.cumsum(direction)
         return result
@@ -304,9 +303,9 @@ def encode(self) -> str:
         """Returns a JSON representation of this object. Should be sufficient
         to recreate it identically from scratch (except for the
         equilibrium)."""
-        return ""
+        raise NotImplementedError
 
     @staticmethod
     def decode(json: str) -> "CoordinateTransform":
         """Takes some JSON and decodes it into a CoordinateTransform object."""
-        pass
+        raise NotImplementedError
diff --git a/indica/converters/line_of_sight.py b/indica/converters/line_of_sight.py
index 30b68aba..eac6e230 100644
--- a/indica/converters/line_of_sight.py
+++ b/indica/converters/line_of_sight.py
@@ -2,6 +2,7 @@
 """
 
 from typing import cast
+from typing import Optional
 from typing import Tuple
 
 import numpy as np
@@ -205,9 +206,9 @@ def distance(
         x = self.x_start + (self.x_end - self.x_start) * x2
         y = self.y_start + (self.y_end - self.y_start) * x2
         z = self.z_start + (self.z_end - self.z_start) * x2
-        spacings = np.sqrt(
+        spacings = (
             x.diff(direction) ** 2 + z.diff(direction) ** 2 + y.diff(direction) ** 2
-        )
+        ) ** 0.5
         result = zeros_like(x)
         result[{direction: slice(1, None)}] = spacings.cumsum(direction)
         return result.values
@@ -225,7 +226,7 @@ def set_dl(self, dl: float):
         )
 
         # Find the number of points
-        npts = np.ceil(los_length.data / dl).astype(int)
+        npts = np.ceil(los_length.data / dl).astype(int)  # type: ignore
 
         # Set dl, calculate dl
         ind = np.linspace(0, 1, npts, dtype=float)
@@ -237,7 +238,7 @@ def set_dl(self, dl: float):
     def assign_flux_transform(self, flux_transform: FluxSurfaceCoordinates):
         self.flux_transform = flux_transform
 
-    def convert_to_rho(self, t: float = None):
+    def convert_to_rho(self, t: Optional[float] = None):
         self.rho = self.flux_transform.convert_from_Rz(self.R, self.z, t=t)
 
 
diff --git a/indica/converters/lines_of_sight.py b/indica/converters/lines_of_sight.py
index 43801354..2c9fedfc 100644
--- a/indica/converters/lines_of_sight.py
+++ b/indica/converters/lines_of_sight.py
@@ -225,9 +225,9 @@ def distance(
         x = x_s + (x_e - x_s) * x2
         y = y_s + (y_e - y_s) * x2
         z = z_s + (z_e - z_s) * x2
-        spacings = np.sqrt(
+        spacings = (
             x.diff(direction) ** 2 + z.diff(direction) ** 2 + y.diff(direction) ** 2
-        )
+        ) ** 0.5
         result = zeros_like(x)
         result[{direction: slice(1, None)}] = spacings.cumsum(direction)
         return result
diff --git a/indica/converters/magnetic.py b/indica/converters/magnetic.py
index 0664f359..4d9de2f6 100644
--- a/indica/converters/magnetic.py
+++ b/indica/converters/magnetic.py
@@ -94,7 +94,9 @@ def func(R: float) -> float:
                 f"scipy.optimize.root_scalar failed to converge with flag {result.flag}"
             )
 
-        return apply_ufunc(find_root, x1, x2, t, vectorize=True), x2 + self.z_los
+        # apply_ufunc vectorize=True does not seem to be working
+        vfunc = np.vectorize(find_root)
+        return apply_ufunc(vfunc, x1, x2, t, vectorize=False), x2 + self.z_los
 
     def convert_from_Rz(
         self, R: LabeledArray, z: LabeledArray, t: LabeledArray
diff --git a/indica/converters/time.py b/indica/converters/time.py
index 9517abe4..85c77e63 100644
--- a/indica/converters/time.py
+++ b/indica/converters/time.py
@@ -3,6 +3,7 @@
 
 import numpy as np
 from xarray import DataArray
+from xarray.core.types import InterpOptions
 
 
 def strip_provenance(arr: DataArray):
@@ -19,7 +20,7 @@ def convert_in_time(
     tend: float,
     frequency: float,
     data: DataArray,
-    method: str = "linear",
+    method: InterpOptions = "linear",
 ) -> DataArray:
     """Interpolate or bin (as appropriate) the given data along the time
     axis, discarding data before or after the limits.
@@ -57,7 +58,7 @@ def convert_in_time_dt(
     tend: float,
     dt: float,
     data: DataArray,
-    method: str = "linear",
+    method: InterpOptions = "linear",
 ) -> DataArray:
     """
     Interpolate or bin given data along the time axis, discarding data before
@@ -90,7 +91,7 @@ def convert_in_time_dt(
 
 
 def interpolate_to_time_labels(
-    tlabels: np.ndarray, data: DataArray, method: str = "linear"
+    tlabels: np.ndarray, data: DataArray, method: InterpOptions = "linear"
 ) -> DataArray:
     """
     Interpolate data to sit on the specified time labels.
@@ -125,6 +126,9 @@ def interpolate_to_time_labels(
             )
         interpolated.attrs["dropped"] = dropped
 
+    if "transform" in data.attrs:
+        interpolated.attrs["transform"] = data.attrs["transform"]
+
     strip_provenance(interpolated)
 
     return interpolated
@@ -163,17 +167,14 @@ def bin_to_time_labels(tlabels: np.ndarray, data: DataArray) -> DataArray:
 
     if "error" in data.attrs:
         grouped = (
-            data.attrs["error"]
+            (data.attrs["error"] ** 2)
             .sel(t=slice(tbins[0], tbins[-1]))
             .groupby_bins("t", tbins, labels=tlabels)
         )
-        uncertainty = np.sqrt(
-            grouped.reduce(
-                lambda x, axis: np.sum(x**2, axis) / np.size(x, axis) ** 2, "t"
-            )
-        )
-        error = np.sqrt(uncertainty**2 + stdev**2)
+        uncertainty_square = grouped.sum("t") / grouped.count("t")
+        error = (uncertainty_square + stdev**2) ** 0.5
         averaged.attrs["error"] = error.rename(t_bins="t")
+
     if "dropped" in data.attrs:
         grouped = (
             data.attrs["dropped"]
@@ -190,14 +191,13 @@ def bin_to_time_labels(tlabels: np.ndarray, data: DataArray) -> DataArray:
                 .sel(t=slice(tbins[0], tbins[-1]))
                 .groupby_bins("t", tbins, labels=tlabels)
             )
-            uncertainty = np.sqrt(
-                grouped.reduce(
-                    lambda x, axis: np.sum(x**2, axis) / np.size(x, axis) ** 2, "t"
-                )
-            )
-            error = np.sqrt(uncertainty**2 + stdev**2)
+            uncertainty_square = grouped.sum("t") / grouped.count("t")
+            error = (uncertainty_square + stdev**2) ** 0.5
             averaged.attrs["dropped"].attrs["error"] = error.rename(t_bins="t")
 
+    if "transform" in data.attrs:
+        averaged.attrs["transform"] = data.attrs["transform"]
+
     strip_provenance(averaged)
 
     return averaged.rename(t_bins="t")
@@ -208,7 +208,7 @@ def interpolate_in_time(
     tend: float,
     frequency: float,
     data: DataArray,
-    method: str = "linear",
+    method: InterpOptions = "linear",
 ) -> DataArray:
     """Interpolate the given data along the time axis, discarding data
     before or after the limits.
@@ -245,7 +245,7 @@ def interpolate_in_time_dt(
     tend: float,
     dt: float,
     data: DataArray,
-    method: str = "linear",
+    method: InterpOptions = "linear",
 ) -> DataArray:
     """Interpolate the given data along the time axis, discarding data
     before or after the limits.
diff --git a/indica/data.py b/indica/data.py
index b6a2db36..b8bd9d47 100644
--- a/indica/data.py
+++ b/indica/data.py
@@ -34,6 +34,7 @@
 from scipy.interpolate import InterpolatedUnivariateSpline
 from scipy.interpolate import RectBivariateSpline
 import xarray as xr
+from xarray.core.types import InterpOptions
 from xarray.core.utils import either_dict_or_kwargs
 
 from . import session
@@ -159,7 +160,7 @@ def invert_interp(
         target: str,
         new_dims: Optional[Union[Tuple[str, ...], str]] = None,
         coords: Optional[Mapping[Hashable, ArrayLike]] = None,
-        method: str = "linear",
+        method: InterpOptions = "linear",
         assume_sorted: bool = False,
         kwargs: Optional[Mapping[str, Any]] = None,
         **coords_kwargs: ArrayLike,
@@ -279,7 +280,7 @@ def invert_root(
         guess: Optional[ArrayLike] = None,
         new_dims: Optional[Union[Tuple[str, ...], str]] = None,
         coords: Optional[Mapping[Hashable, ArrayLike]] = None,
-        method: str = "linear",
+        method: InterpOptions = "linear",
         assume_sorted: bool = False,
         kwargs: Optional[Mapping[str, Any]] = None,
         **coords_kwargs: ArrayLike,
@@ -787,10 +788,10 @@ def check_datatype(self, data_type: ArrayType) -> Tuple[bool, Optional[str]]:
         status
             Whether the datatype of this array matches the argument.
         message
-            If ``status == False``, an explaination of why.
+            If ``status == False``, an explanation of why.
 
         """
-        pass
+        return NotImplementedError  # type: ignore
 
     def _update_prov_for_equilibrium(
         self,
@@ -1043,7 +1044,7 @@ def attach(
         (unless the value is the same). This behaviour can be
         overridden with the `overwrite` argument.
 
-        This function will fail if the specific datatyp for ``array``
+        This function will fail if the specific datatype for ``array``
         differs from that for this Dataset. It will also fail if the
         dimensions of ``array`` differ from those of the Dataset.
 
@@ -1137,7 +1138,7 @@ def check_datatype(self, datatype: DatasetType) -> Tuple[bool, Optional[str]]:
             If ``status == False``, an explanation of why.
 
         """
-        pass
+        raise NotImplementedError
 
     def inclusive_timeslice(self, t_start: float, t_end: float) -> xr.Dataset:
         """
diff --git a/indica/equilibrium.py b/indica/equilibrium.py
index 57819e94..00d21d95 100644
--- a/indica/equilibrium.py
+++ b/indica/equilibrium.py
@@ -6,6 +6,7 @@
 from typing import cast
 from typing import Dict
 from typing import Hashable
+from typing import Literal
 from typing import Optional
 from typing import Tuple
 
@@ -75,14 +76,14 @@ def __init__(
         self.faxs = equilibrium_data["faxs"]
         self.fbnd = equilibrium_data["fbnd"]
         self.ftor = equilibrium_data["ftor"]
-        self.rhotor = np.sqrt(
+        self.rhotor = (
             (self.ftor - self.ftor.sel(rho_poloidal=0.0))
             / (self.ftor.sel(rho_poloidal=1.0) - self.ftor.sel(rho_poloidal=0.0))
-        )
+        ) ** 0.5
         self.rmji = equilibrium_data["rmji"]
         self.rmjo = equilibrium_data["rmjo"]
         self.psi = equilibrium_data["psi"]
-        self.rho = np.sqrt((self.psi - self.faxs) / (self.fbnd - self.faxs))
+        self.rho = ((self.psi - self.faxs) / (self.fbnd - self.faxs)) ** 0.5
         self.vjac = equilibrium_data["vjac"]
         self.rmag = equilibrium_data["rmag"]
         self.rbnd = equilibrium_data["rbnd"]
@@ -112,7 +113,6 @@ def __init__(
                 ],
                 offsets,
             )
-            del rhos.coords[None]
 
             thetas = np.arctan2(
                 T_e.coords["index_z_offset"] + z_shift - zmag,
@@ -211,7 +211,7 @@ def Btot(
             results are given for. Otherwise return the argument.
         """
         if t is not None:
-            interp1d_method = "linear"
+            interp1d_method: Literal["linear", "cubic"] = "linear"
             if (isinstance(t, DataArray) or isinstance(t, np.ndarray)) and (
                 t.shape[0] > 1
             ):
@@ -426,7 +426,7 @@ def cross_sectional_area(
 
         result = DataArray(
             data=area,
-            coords=[("t", t), ("rho_poloidal", rho)],
+            coords=[("t", np.array(t)), ("rho_poloidal", np.array(rho))],
             dims=["t", "rho_poloidal"],
         )
 
@@ -466,7 +466,7 @@ def enclosed_volume(
         if t is None:
             t = self.rho.coords["t"]
 
-        interp1d_method = "linear"
+        interp1d_method: Literal["linear", "cubic"] = "linear"
         if (isinstance(t, DataArray) or isinstance(t, np.ndarray)) and (t.shape[0] > 1):
             if t.shape[0] > 3:
                 interp1d_method = "cubic"
diff --git a/indica/operators/abstractoperator.py b/indica/operators/abstractoperator.py
index e2d1d1de..c0c53277 100644
--- a/indica/operators/abstractoperator.py
+++ b/indica/operators/abstractoperator.py
@@ -18,6 +18,7 @@
 from xarray import Dataset
 
 from .. import session
+from ..datatypes import ArrayType
 from ..datatypes import DatasetType
 from ..datatypes import DataType
 from ..datatypes import DatatypeWarning
@@ -178,6 +179,7 @@ def validate_arguments(self, *args: Data):
         for i, (arg, expected) in enumerate(iterator):
             if isinstance(arg, DataArray):
                 datatype = arg.attrs["datatype"]
+                expected = cast(ArrayType, expected)
                 if expected[0] and datatype[0] != expected[0]:
                     message = (
                         "Argument {} of wrong general data type for operator {}: "
@@ -202,6 +204,7 @@ def validate_arguments(self, *args: Data):
                     raise OperatorError(message)
             elif isinstance(arg, Dataset):
                 datatype = arg.attrs["datatype"]
+                expected = cast(DatasetType, expected)
                 if expected[0] and datatype[0] != expected[0]:
                     message = (
                         "Argument {} of wrong specific data type for operator {}: "
diff --git a/indica/operators/atomic_data.py b/indica/operators/atomic_data.py
index 6f4b610f..f6e44492 100644
--- a/indica/operators/atomic_data.py
+++ b/indica/operators/atomic_data.py
@@ -2,6 +2,7 @@
 from typing import cast
 from typing import get_args
 from typing import List
+from typing import Optional
 from typing import Tuple
 from typing import Union
 import warnings
@@ -92,7 +93,7 @@ def __init__(
         self,
         SCD: DataArray,
         ACD: DataArray,
-        CCD: DataArray = None,
+        CCD: Optional[DataArray] = None,
         sess: session.Session = session.global_session,
     ):
         """Initialises FractionalAbundance class and additionally performs error
@@ -103,7 +104,7 @@ def __init__(
         self.Te = None
         self.Nh = None
         self.tau = None
-        self.F_z_t0 = None
+        self.F_z_t0: Optional[DataArray] = None
         self.SCD = SCD
         self.ACD = ACD
         self.CCD = CCD
@@ -287,7 +288,7 @@ def interpolate_rates(
     def calc_ionisation_balance_matrix(
         self,
         Ne: DataArray,
-        Nh: DataArray = None,
+        Nh: Optional[DataArray] = None,
     ):
         """Calculates the ionisation balance matrix that defines the differential equation
         that defines the time evolution of the fractional abundance of all of the
@@ -469,7 +470,7 @@ def calc_eigen_vals_and_vecs(
 
     def calc_eigen_coeffs(
         self,
-        F_z_t0: DataArray = None,
+        F_z_t0: Optional[DataArray] = None,
     ):
         """Calculates the coefficients from the eigenvalues and eigenvectors for the
         time evolution equation.
@@ -608,9 +609,9 @@ def __call__(  # type: ignore
         self,
         Ne: DataArray,
         Te: DataArray,
-        Nh: DataArray = None,
+        Nh: Optional[DataArray] = None,
         tau: LabeledArray = 1e3,
-        F_z_t0: DataArray = None,
+        F_z_t0: Optional[DataArray] = None,
         full_run: bool = True,
     ) -> DataArray:
         """Executes all functions in correct order to calculate the fractional
@@ -712,7 +713,7 @@ def __init__(
         self,
         PLT: DataArray,
         PRB: DataArray,
-        PRC: DataArray = None,
+        PRC: Optional[DataArray] = None,
         sess: session.Session = session.global_session,
     ):
         super().__init__(sess)
@@ -722,7 +723,7 @@ def __init__(
         self.Ne = None
         self.Nh = None
         self.Te = None
-        self.F_z_t = None
+        self.F_z_t: Optional[DataArray] = None
 
         imported_data = {}
         imported_data["PLT"] = self.PLT
@@ -896,7 +897,7 @@ def interpolate_power(
         return PLT_spec, PRC_spec, PRB_spec, self.num_of_ion_charges
 
     def calculate_power_loss(
-        self, Ne: DataArray, F_z_t: DataArray, Nh: DataArray = None
+        self, Ne: DataArray, F_z_t: DataArray, Nh: Optional[DataArray] = None
     ):
         """Calculates total radiated power of all ionisation charges of a given
         impurity element.
@@ -1012,7 +1013,7 @@ def __call__(  # type: ignore
         Ne: DataArray,
         Te: DataArray,
         F_z_t: DataArray,
-        Nh: DataArray = None,
+        Nh: Optional[DataArray] = None,
         full_run: bool = True,
     ):
         """Executes all functions in correct order to calculate the total radiated
diff --git a/indica/operators/bolometry_derivation.py b/indica/operators/bolometry_derivation.py
index a0a98aa9..bd3ab3f8 100644
--- a/indica/operators/bolometry_derivation.py
+++ b/indica/operators/bolometry_derivation.py
@@ -1,5 +1,6 @@
 from typing import cast
 from typing import List
+from typing import Optional
 from typing import Sequence
 from typing import Tuple
 from typing import Union
@@ -82,8 +83,6 @@ class BolometryDerivation(Operator):
         ("main_ion", "number_density"),
     ]
 
-    RESULT_TYPES: List[Union[DataType, EllipsisType]] = []
-
     def __init__(
         self,
         flux_surfs: FluxSurfaceCoordinates,
@@ -157,7 +156,7 @@ def __init__(
         self.impurities_power_loss = impurities_power_loss
 
     def return_types(self, *args: DataType) -> Tuple[DataType, ...]:
-        return super().return_types(*args)
+        return (("bolometric", "lines_of_sight_data"),)
 
     def __bolometry_coord_transforms(self):
         """Transform the bolometry coords from LoS to (rho, theta) and (R, z).
@@ -367,7 +366,7 @@ def __bolometry_channel_filter(self):
     def __bolometry_derivation(
         self,
         trim: bool = False,
-        t_val: float = None,
+        t_val: Optional[float] = None,
     ):
         """Derive bolometry including the extrapolated smoothed impurity density.
 
@@ -495,7 +494,10 @@ def __bolometry_derivation(
         return derived_power_loss_LoS_tot
 
     def __call__(  # type: ignore
-        self, deriv_only: bool = False, trim: bool = False, t_val: float = None
+        self,
+        deriv_only: bool = False,
+        trim: bool = False,
+        t_val: Optional[float] = None,
     ):
         """Varying workflow to derive bolometry from plasma quantities.
         (Varying as in, if full setup and derivation is needed or only derivaiton.)
diff --git a/indica/operators/centrifugal_asymmetry.py b/indica/operators/centrifugal_asymmetry.py
index c55ec00c..e8801368 100644
--- a/indica/operators/centrifugal_asymmetry.py
+++ b/indica/operators/centrifugal_asymmetry.py
@@ -35,15 +35,11 @@ class ToroidalRotation(Operator):
 
     ARGUMENT_TYPES: List[Union[DataType, EllipsisType]] = []
 
-    RESULT_TYPES: List[Union[DataType, EllipsisType]] = [
-        ("toroidal_rotation", "plasma"),
-    ]
-
     def __init__(self, sess: session.Session = session.global_session):
         super().__init__(sess=sess)
 
     def return_types(self, *args: DataType) -> Tuple[Any, ...]:
-        return super().return_types(*args)
+        return (("toroidal_rotation", "plasma"),)
 
     def __call__(  # type: ignore
         self,
@@ -169,7 +165,7 @@ def __init__(self, sess: session.Session = session.global_session):
         super().__init__(sess=sess)
 
     def return_types(self, *args: DataType) -> Tuple[Any, ...]:
-        return super().return_types(*args)
+        return (("asymmetry", "impurity_element"),)
 
     def __call__(  # type: ignore
         self,
diff --git a/indica/operators/extrapolate_impurity_density.py b/indica/operators/extrapolate_impurity_density.py
index 4876db6f..c7288c3d 100644
--- a/indica/operators/extrapolate_impurity_density.py
+++ b/indica/operators/extrapolate_impurity_density.py
@@ -1,5 +1,6 @@
 from typing import cast
 from typing import List
+from typing import Optional
 from typing import Sequence
 from typing import Tuple
 from typing import Union
@@ -25,8 +26,8 @@ def asymmetry_from_R_z(
     data_R_z: DataArray,
     flux_surfaces: FluxSurfaceCoordinates,
     rho_arr: DataArray,
-    threshold_rho: DataArray = None,
-    t_arr: DataArray = None,
+    threshold_rho: Optional[DataArray] = None,
+    t_arr: Optional[DataArray] = None,
 ):
     """Function to calculate an asymmetry parameter from a given density profile in
     (R, z, t) coordinates.
@@ -113,8 +114,8 @@ def asymmetry_from_R_z(
 def asymmetry_from_rho_theta(
     data_rho_theta: DataArray,
     flux_surfaces: FluxSurfaceCoordinates,
-    threshold_rho: DataArray = None,
-    t_arr: DataArray = None,
+    threshold_rho: Optional[DataArray] = None,
+    t_arr: Optional[DataArray] = None,
 ):
     """Function to calculate an asymmetry parameter from a given density profile in
     (rho_poloidal, theta, t) coordinates.
@@ -174,6 +175,8 @@ def asymmetry_from_rho_theta(
         data_rho_theta.interp(theta=np.pi, method="linear")
         / data_rho_theta.interp(theta=0.0, method="linear")
     )
+    # assert for mypy, numpy array predicted
+    assert isinstance(derived_asymmetry_parameter, DataArray)
 
     derived_asymmetry_parameter /= R_hfs_midplane**2 - R_lfs_midplane**2
 
@@ -230,6 +233,8 @@ def asymmetry_modifier_from_parameter(
         asymmetry_parameter * (R_deriv**2 - R_lfs_midplane**2)
     )
 
+    # assert for mypy, numpy array predicted
+    assert isinstance(asymmetry_modifier, DataArray)
     asymmetry_modifier = asymmetry_modifier.transpose("rho_poloidal", "theta", "t")
 
     return asymmetry_modifier
@@ -319,12 +324,6 @@ class ExtrapolateImpurityDensity(Operator):
 
     ARGUMENT_TYPES: List[Union[DataType, EllipsisType]] = []
 
-    RESULT_TYPES: List[Union[DataType, EllipsisType]] = [
-        ("number_density", "impurity_element"),
-        ("number_density", "impurity_element"),
-        ("time", "impurity_element"),
-    ]
-
     def __init__(
         self,
         sess: session.Session = session.global_session,
@@ -336,14 +335,18 @@ def __init__(
         self.fullwidthhalfmax_coeff = 2 * self.halfwidthhalfmax_coeff
 
     def return_types(self, *args: DataType) -> Tuple[DataType, ...]:
-        return super().return_types(*args)
+        return (
+            ("number_density", "impurity_element"),
+            ("number_density", "impurity_element"),
+            ("time", "impurity_element"),
+        )
 
     def transform_to_rho_theta(
         self,
         data_R_z: DataArray,
         flux_surfaces: FluxSurfaceCoordinates,
         rho_arr: DataArray,
-        t_arr: DataArray = None,
+        t_arr: Optional[DataArray] = None,
     ):
         """Function to transform data from an (R, z) grid to a (rho_poloidal, theta) grid
 
@@ -1044,8 +1047,8 @@ def __call__(  # type: ignore
         electron_temperature: DataArray,
         truncation_threshold: float,
         flux_surfaces: FluxSurfaceCoordinates,
-        asymmetry_parameter: DataArray = None,
-        t: DataArray = None,
+        asymmetry_parameter: Optional[DataArray] = None,
+        t: Optional[DataArray] = None,
     ):
         """Extrapolates the impurity density beyond the limits of SXR (Soft X-ray)
 
diff --git a/indica/operators/impurity_concentration.py b/indica/operators/impurity_concentration.py
index 6b64c207..32449b93 100644
--- a/indica/operators/impurity_concentration.py
+++ b/indica/operators/impurity_concentration.py
@@ -3,6 +3,7 @@
 """
 
 from typing import List
+from typing import Optional
 from typing import Tuple
 from typing import Union
 
@@ -50,16 +51,14 @@ class ImpurityConcentration(Operator):
 
     ARGUMENT_TYPES: List[Union[DataType, EllipsisType]] = []
 
-    RESULT_TYPES: List[Union[DataType, EllipsisType]] = [
-        ("impurity_concentration", "impurity_element"),
-        ("time", "impurity_element"),
-    ]
-
     def __init__(self, sess: session.Session = session.global_session):
         super().__init__(sess=sess)
 
     def return_types(self, *args: DataType) -> Tuple[DataType, ...]:
-        return super().return_types(*args)
+        return (
+            ("impurity_concentration", "impurity_element"),
+            ("time", "impurity_element"),
+        )
 
     def __call__(  # type: ignore
         self,
@@ -69,7 +68,7 @@ def __call__(  # type: ignore
         electron_density: DataArray,
         mean_charge: DataArray,
         flux_surfaces: FluxSurfaceCoordinates,
-        t: DataArray = None,
+        t: Optional[DataArray] = None,
     ):
         """Calculates the impurity concentration for the inputted element.
 
diff --git a/indica/operators/invert_radiation.py b/indica/operators/invert_radiation.py
index d485add0..fbdea495 100644
--- a/indica/operators/invert_radiation.py
+++ b/indica/operators/invert_radiation.py
@@ -377,7 +377,7 @@ def residuals(
                 start = end
                 x1_name = c.attrs["transform"].x1_name
                 self.integral.append(
-                    DataArray(integral, coords=[(x1_name, c.coords[x1_name])])
+                    DataArray(integral, coords=[(x1_name, c.coords[x1_name].data)])
                 )
             assert np.all(np.isfinite(resid))
             return resid
@@ -468,10 +468,6 @@ def residuals(
         integral: List[DataArray] = []
         for data in zip(*integrals):
             integral.append(concat(data, dim=times))
-            del integral[-1].coords[None]  # type: ignore
-        # For some reason concat adds a `None` coordinate
-        del symmetric_emissivity.coords[None]  # type: ignore
-        del asymmetry_parameter.coords[None]  # type: ignore
         estimate = EmissivityProfile(
             symmetric_emissivity, asymmetry_parameter, flux_coords
         )
diff --git a/indica/operators/main_ion_density.py b/indica/operators/main_ion_density.py
index 2d27b5bc..ba3ae5e8 100644
--- a/indica/operators/main_ion_density.py
+++ b/indica/operators/main_ion_density.py
@@ -22,8 +22,6 @@ class MainIonDensity(Operator):
     ARGUMENT_TYPES: List[DataType]
         Ordered list of the types of data expected for each argument of the
         operator.
-    RESULT_TYPES: List[DataType]
-        Ordered list of the types of data returned by the operator.
 
     Returns
     -------
@@ -38,15 +36,11 @@ class MainIonDensity(Operator):
 
     ARGUMENT_TYPES: List[Union[DataType, EllipsisType]] = []
 
-    RESULT_TYPES: List[Union[DataType, EllipsisType]] = [
-        ("main_ion", "number_density"),
-    ]
-
     def __init__(self, sess: session.Session = session.global_session):
         super().__init__(sess=sess)
 
     def return_types(self, *args: DataType) -> Tuple[DataType, ...]:
-        return super().return_types(*args)
+        return (("main_ion", "number_density"),)
 
     def __call__(  # type: ignore
         self,
diff --git a/indica/operators/mean_charge.py b/indica/operators/mean_charge.py
index 8cd02a1d..70d15922 100644
--- a/indica/operators/mean_charge.py
+++ b/indica/operators/mean_charge.py
@@ -33,15 +33,11 @@ class MeanCharge(Operator):
 
     ARGUMENT_TYPES: List[Union[DataType, EllipsisType]] = []
 
-    RESULT_TYPES: List[Union[DataType, EllipsisType]] = [
-        ("mean_charge", "impurity_element"),
-    ]
-
     def __init__(self, sess: session.Session = session.global_session):
         super().__init__(sess=sess)
 
     def return_types(self, *args: DataType) -> Tuple[DataType, ...]:
-        return super().return_types(*args)
+        return (("mean_charge", "impurity_element"),)
 
     def __call__(self, FracAbundObj: DataArray, element: str):  # type: ignore
         """Function to calculate the mean charge.
diff --git a/indica/operators/spline_fit.py b/indica/operators/spline_fit.py
index 4f42287d..f520598f 100644
--- a/indica/operators/spline_fit.py
+++ b/indica/operators/spline_fit.py
@@ -251,7 +251,7 @@ def knotvals_to_xarray(knotvals):
             all_knots[:, :-1] = knotvals.reshape(nt, n_knots - 1)
             all_knots[:, -1] = 0.0
             return DataArray(
-                all_knots, coords=[("t", times), ("rho_poloidal", self.knots)]
+                all_knots, coords=[("t", times.data), ("rho_poloidal", self.knots.data)]
             )
 
         # TODO: Consider how to handle locations outside of interpolation range.
diff --git a/indica/readers/abstractreader.py b/indica/readers/abstractreader.py
index 985209dc..4351b30b 100644
--- a/indica/readers/abstractreader.py
+++ b/indica/readers/abstractreader.py
@@ -246,11 +246,11 @@ def get_thomson_scattering(
             ).indica.inclusive_timeslice(self._tstart, self._tend)
             if downsample_ratio > 1:
                 quant_data = quant_data.coarsen(
-                    t=downsample_ratio, boundary="trim", keep_attrs=True
+                    t=downsample_ratio, boundary="trim"
                 ).mean()
                 quant_data.attrs["error"] = np.sqrt(
                     (quant_data.attrs["error"] ** 2)
-                    .coarsen(t=downsample_ratio, boundary="trim", keep_attrs=True)
+                    .coarsen(t=downsample_ratio, boundary="trim")
                     .mean()
                     / downsample_ratio
                 )
@@ -417,11 +417,11 @@ def get_charge_exchange(
             ).indica.inclusive_timeslice(self._tstart, self._tend)
             if downsample_ratio > 1:
                 quant_data = quant_data.coarsen(
-                    t=downsample_ratio, boundary="trim", keep_attrs=True
+                    t=downsample_ratio, boundary="trim"
                 ).mean()
                 quant_data.attrs["error"] = np.sqrt(
                     (quant_data.attrs["error"] ** 2)
-                    .coarsen(t=downsample_ratio, boundary="trim", keep_attrs=True)
+                    .coarsen(t=downsample_ratio, boundary="trim")
                     .mean()
                     / downsample_ratio
                 )
@@ -631,7 +631,7 @@ def get_equilibrium(
                 quant_data = quant_data.isel(t=ind_unique)
             if downsample_ratio > 1:
                 quant_data = quant_data.coarsen(
-                    t=downsample_ratio, boundary="trim", keep_attrs=True
+                    t=downsample_ratio, boundary="trim"
                 ).mean()
             quant_data.name = instrument + "_" + quantity
             quant_data.attrs["partial_provenance"] = self.create_provenance(
@@ -784,11 +784,11 @@ def get_cyclotron_emissions(
             ).indica.inclusive_timeslice(self._tstart, self._tend)
             if downsample_ratio > 1:
                 quant_data = quant_data.coarsen(
-                    t=downsample_ratio, boundary="trim", keep_attrs=True
+                    t=downsample_ratio, boundary="trim"
                 ).mean()
                 quant_data.attrs["error"] = np.sqrt(
                     (quant_data.attrs["error"] ** 2)
-                    .coarsen(t=downsample_ratio, boundary="trim", keep_attrs=True)
+                    .coarsen(t=downsample_ratio, boundary="trim")
                     .mean()
                     / downsample_ratio
                 )
@@ -948,11 +948,11 @@ def get_radiation(
             ).indica.inclusive_timeslice(self._tstart, self._tend)
             if downsample_ratio > 1:
                 quant_data = quant_data.coarsen(
-                    t=downsample_ratio, boundary="trim", keep_attrs=True
+                    t=downsample_ratio, boundary="trim"
                 ).mean()
                 quant_data.attrs["error"] = np.sqrt(
                     (quant_data.attrs["error"] ** 2)
-                    .coarsen(t=downsample_ratio, boundary="trim", keep_attrs=True)
+                    .coarsen(t=downsample_ratio, boundary="trim")
                     .mean()
                     / downsample_ratio
                 )
@@ -1119,11 +1119,11 @@ def get_bremsstrahlung_spectroscopy(
             ).indica.inclusive_timeslice(self._tstart, self._tend)
             if downsample_ratio > 1:
                 quant_data = quant_data.coarsen(
-                    t=downsample_ratio, boundary="trim", keep_attrs=True
+                    t=downsample_ratio, boundary="trim"
                 ).mean()
                 quant_data.attrs["error"] = np.sqrt(
                     (quant_data.attrs["error"] ** 2)
-                    .coarsen(t=downsample_ratio, boundary="trim", keep_attrs=True)
+                    .coarsen(t=downsample_ratio, boundary="trim")
                     .mean()
                     / downsample_ratio
                 )
@@ -1312,12 +1312,12 @@ def get_helike_spectroscopy(
             ).indica.inclusive_timeslice(self._tstart, self._tend)
             if downsample_ratio > 1:
                 quant_data = quant_data.coarsen(
-                    t=downsample_ratio, boundary="trim", keep_attrs=True
+                    t=downsample_ratio, boundary="trim"
                 ).mean()
                 if quantity_error in database_results.keys():
                     quant_data.attrs["error"] = np.sqrt(
                         (quant_data.attrs["error"] ** 2)
-                        .coarsen(t=downsample_ratio, boundary="trim", keep_attrs=True)
+                        .coarsen(t=downsample_ratio, boundary="trim")
                         .mean()
                         / downsample_ratio
                     )
@@ -1476,11 +1476,11 @@ def get_filters(
             ).indica.inclusive_timeslice(self._tstart, self._tend)
             if downsample_ratio > 1:
                 quant_data = quant_data.coarsen(
-                    t=downsample_ratio, boundary="trim", keep_attrs=True
+                    t=downsample_ratio, boundary="trim"
                 ).mean()
                 quant_data.attrs["error"] = np.sqrt(
                     (quant_data.attrs["error"] ** 2)
-                    .coarsen(t=downsample_ratio, boundary="trim", keep_attrs=True)
+                    .coarsen(t=downsample_ratio, boundary="trim")
                     .mean()
                     / downsample_ratio
                 )
@@ -1643,11 +1643,11 @@ def get_interferometry(
             ).indica.inclusive_timeslice(self._tstart, self._tend)
             if downsample_ratio > 1:
                 quant_data = quant_data.coarsen(
-                    t=downsample_ratio, boundary="trim", keep_attrs=True
+                    t=downsample_ratio, boundary="trim"
                 ).mean()
                 quant_data.attrs["error"] = np.sqrt(
                     (quant_data.attrs["error"] ** 2)
-                    .coarsen(t=downsample_ratio, boundary="trim", keep_attrs=True)
+                    .coarsen(t=downsample_ratio, boundary="trim")
                     .mean()
                     / downsample_ratio
                 )
diff --git a/indica/session.py b/indica/session.py
index abce16e9..25a9c05a 100644
--- a/indica/session.py
+++ b/indica/session.py
@@ -274,7 +274,7 @@ def export(self, filename: str):
         """Write all of the data and operators from this session into a file,
         for reuse later.
         """
-        pass
+        raise NotImplementedError
 
     @classmethod
     def begin(cls, user_id: str):
@@ -298,7 +298,7 @@ def reload(cls, filename: str) -> "Session":
         variables in ``__main__`` will be recreated.
 
         """
-        pass
+        raise NotImplementedError
 
 
 global_session = Session("")
diff --git a/poetry.lock b/poetry.lock
index 8cc56dce..1ec0845c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,119 +1,370 @@
+# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+
 [[package]]
 name = "alabaster"
-version = "0.7.12"
+version = "0.7.13"
 description = "A configurable sidebar-enabled Sphinx theme"
-category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
+files = [
+    {file = "alabaster-0.7.13-py3-none-any.whl", hash = "sha256:1ee19aca801bbabb5ba3f5f258e4422dfa86f82f3e9cefb0859b283cdd7f62a3"},
+    {file = "alabaster-0.7.13.tar.gz", hash = "sha256:a27a4a084d5e690e16e01e03ad2b2e552c61a65469419b907243193de1a84ae2"},
+]
 
 [[package]]
 name = "aniso8601"
 version = "9.0.1"
 description = "A library for parsing ISO 8601 strings."
-category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "aniso8601-9.0.1-py2.py3-none-any.whl", hash = "sha256:1d2b7ef82963909e93c4f24ce48d4de9e66009a21bf1c1e1c85bdd0812fe412f"},
+    {file = "aniso8601-9.0.1.tar.gz", hash = "sha256:72e3117667eedf66951bb2d93f4296a56b94b078a8a95905a052611fb3f1b973"},
+]
 
 [package.extras]
 dev = ["black", "coverage", "isort", "pre-commit", "pyenchant", "pylint"]
 
 [[package]]
 name = "atomicwrites"
-version = "1.4.0"
+version = "1.4.1"
 description = "Atomic file writes."
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
+]
 
 [[package]]
 name = "attrs"
-version = "21.4.0"
+version = "22.2.0"
 description = "Classes Without Boilerplate"
-category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
+files = [
+    {file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
+    {file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"},
+]
 
 [package.extras]
-dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "six", "sphinx", "sphinx-notfound-page", "zope.interface"]
-docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
-tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "six", "zope.interface"]
-tests_no_zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "six"]
+cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"]
+dev = ["attrs[docs,tests]"]
+docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"]
+tests = ["attrs[tests-no-zope]", "zope.interface"]
+tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "babel"
-version = "2.10.3"
+version = "2.12.1"
 description = "Internationalization utilities"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
+files = [
+    {file = "Babel-2.12.1-py3-none-any.whl", hash = "sha256:b4246fb7677d3b98f501a39d43396d3cafdc8eadb045f4a31be01863f655c610"},
+    {file = "Babel-2.12.1.tar.gz", hash = "sha256:cc2d99999cd01d44420ae725a21c9e3711b3aadc7976d6147f622d8581963455"},
+]
 
 [package.dependencies]
-pytz = ">=2015.7"
+pytz = {version = ">=2015.7", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "certifi"
-version = "2022.6.15"
+version = "2022.12.7"
 description = "Python package for providing Mozilla's CA Bundle."
-category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "certifi-2022.12.7-py3-none-any.whl", hash = "sha256:4ad3232f5e926d6718ec31cfc1fcadfde020920e278684144551c91769c7bc18"},
+    {file = "certifi-2022.12.7.tar.gz", hash = "sha256:35824b4c3a97115964b408844d64aa14db1cc518f6562e8d7261699d1350a9e3"},
+]
 
 [[package]]
 name = "cfgv"
 version = "3.3.1"
 description = "Validate configuration and produce human readable error messages."
-category = "dev"
 optional = false
 python-versions = ">=3.6.1"
+files = [
+    {file = "cfgv-3.3.1-py2.py3-none-any.whl", hash = "sha256:c6a0883f3917a037485059700b9e75da2464e6c27051014ad85ba6aaa5884426"},
+    {file = "cfgv-3.3.1.tar.gz", hash = "sha256:f5a830efb9ce7a445376bb66ec94c638a9787422f96264c98edc6bdeed8ab736"},
+]
 
 [[package]]
 name = "cftime"
-version = "1.6.1"
+version = "1.6.2"
 description = "Time-handling functionality from netcdf4-python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "cftime-1.6.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b4d2a1920f0aad663f25700b30621ff64af373499e52b544da1148dd8c09409a"},
+    {file = "cftime-1.6.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2ba7909a0cd4adcb16797d8d6ab2767e7ddb980b2bf9dbabfc71b3bdd94f072b"},
+    {file = "cftime-1.6.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:acb294fdb80e33545ae54b4421df35c4e578708a5ffce1c00408b2294e70ecef"},
+    {file = "cftime-1.6.2-cp310-cp310-win_amd64.whl", hash = "sha256:2abdac6ca5b8b6102f319122546739dfc42406b816c16f2a98a8f0cd406d3bf0"},
+    {file = "cftime-1.6.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:eb7f8cd0996640b83020133b5ef6b97fc9216c3129eaeeaca361abdff5d82166"},
+    {file = "cftime-1.6.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:8d49d69c64cee2c175478eed84c3a57fce083da4ceebce16440f72be561a8489"},
+    {file = "cftime-1.6.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:455cec3627e6ca8694b0d9201da6581eb4381b58389f1fbcb51a14fa0e2b3d94"},
+    {file = "cftime-1.6.2-cp311-cp311-win_amd64.whl", hash = "sha256:29c18601abea0fd160fbe423e05c7a56fe1d38dd250a6b010de499a132d3fe18"},
+    {file = "cftime-1.6.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:afb5b38b51b8bc02f1656a9f15c52b0b20a3999adbe1ab9ac57f926e0065b48a"},
+    {file = "cftime-1.6.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aedfb7a783d19d7a30cb41951310f3bfe98f9f21fffc723c8af08a11962b0b17"},
+    {file = "cftime-1.6.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3042048324b4d6a1066c978ec78101effdd84320e8862bfdbf8122d7ad7588ec"},
+    {file = "cftime-1.6.2-cp37-none-win_amd64.whl", hash = "sha256:ee70fa069802652cf534de1dd3fc590b7d22d4127447bf96ac9849abcdadadf1"},
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 [package.dependencies]
 numpy = ">1.13.3"
 
 [[package]]
 name = "charset-normalizer"
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 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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 optional = false
-python-versions = ">=3.6.0"
-
-[package.extras]
-unicode_backport = ["unicodedata2"]
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 [[package]]
 name = "click"
 version = "8.1.3"
 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
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 [package.dependencies]
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
 name = "colorama"
-version = "0.4.5"
+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.*"
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+
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+    {file = "coverage-5.5-cp38-cp38-win_amd64.whl", hash = "sha256:2e0d881ad471768bf6e6c2bf905d183543f10098e3b3640fc029509530091502"},
+    {file = "coverage-5.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d1f9ce122f83b2305592c11d64f181b87153fc2c2bbd3bb4a3dde8303cfb1a6b"},
+    {file = "coverage-5.5-cp39-cp39-manylinux1_i686.whl", hash = "sha256:13c4ee887eca0f4c5a247b75398d4114c37882658300e153113dafb1d76de529"},
+    {file = "coverage-5.5-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:52596d3d0e8bdf3af43db3e9ba8dcdaac724ba7b5ca3f6358529d56f7a166f8b"},
+    {file = "coverage-5.5-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:2cafbbb3af0733db200c9b5f798d18953b1a304d3f86a938367de1567f4b5bff"},
+    {file = "coverage-5.5-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:44d654437b8ddd9eee7d1eaee28b7219bec228520ff809af170488fd2fed3e2b"},
+    {file = "coverage-5.5-cp39-cp39-win32.whl", hash = "sha256:d314ed732c25d29775e84a960c3c60808b682c08d86602ec2c3008e1202e3bb6"},
+    {file = "coverage-5.5-cp39-cp39-win_amd64.whl", hash = "sha256:13034c4409db851670bc9acd836243aeee299949bd5673e11844befcb0149f03"},
+    {file = "coverage-5.5-pp36-none-any.whl", hash = "sha256:f030f8873312a16414c0d8e1a1ddff2d3235655a2174e3648b4fa66b3f2f1079"},
+    {file = "coverage-5.5-pp37-none-any.whl", hash = "sha256:2a3859cb82dcbda1cfd3e6f71c27081d18aa251d20a17d87d26d4cd216fb0af4"},
+    {file = "coverage-5.5.tar.gz", hash = "sha256:ebe78fe9a0e874362175b02371bdfbee64d8edc42a044253ddf4ee7d3c15212c"},
+]
 
 [package.dependencies]
 toml = {version = "*", optional = true, markers = "extra == \"toml\""}
@@ -125,62 +376,81 @@ toml = ["toml"]
 name = "cycler"
 version = "0.11.0"
 description = "Composable style cycles"
-category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "cycler-0.11.0-py3-none-any.whl", hash = "sha256:3a27e95f763a428a739d2add979fa7494c912a32c17c4c38c4d5f082cad165a3"},
+    {file = "cycler-0.11.0.tar.gz", hash = "sha256:9c87405839a19696e837b3b818fed3f5f69f16f1eec1a1ad77e043dcea9c772f"},
+]
 
 [[package]]
 name = "distlib"
-version = "0.3.4"
+version = "0.3.6"
 description = "Distribution utilities"
-category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "distlib-0.3.6-py2.py3-none-any.whl", hash = "sha256:f35c4b692542ca110de7ef0bea44d73981caeb34ca0b9b6b2e6d7790dda8f80e"},
+    {file = "distlib-0.3.6.tar.gz", hash = "sha256:14bad2d9b04d3a36127ac97f30b12a19268f211063d8f8ee4f47108896e11b46"},
+]
 
 [[package]]
 name = "docutils"
 version = "0.17.1"
 description = "Docutils -- Python Documentation Utilities"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "docutils-0.17.1-py2.py3-none-any.whl", hash = "sha256:cf316c8370a737a022b72b56874f6602acf974a37a9fba42ec2876387549fc61"},
+    {file = "docutils-0.17.1.tar.gz", hash = "sha256:686577d2e4c32380bb50cbb22f575ed742d58168cee37e99117a854bcd88f125"},
+]
 
 [[package]]
 name = "execnet"
 version = "1.9.0"
 description = "execnet: rapid multi-Python deployment"
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "execnet-1.9.0-py2.py3-none-any.whl", hash = "sha256:a295f7cc774947aac58dde7fdc85f4aa00c42adf5d8f5468fc630c1acf30a142"},
+    {file = "execnet-1.9.0.tar.gz", hash = "sha256:8f694f3ba9cc92cab508b152dcfe322153975c29bda272e2fd7f3f00f36e47c5"},
+]
 
 [package.extras]
 testing = ["pre-commit"]
 
 [[package]]
 name = "filelock"
-version = "3.7.1"
+version = "3.10.7"
 description = "A platform independent file lock."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "filelock-3.10.7-py3-none-any.whl", hash = "sha256:bde48477b15fde2c7e5a0713cbe72721cb5a5ad32ee0b8f419907960b9d75536"},
+    {file = "filelock-3.10.7.tar.gz", hash = "sha256:892be14aa8efc01673b5ed6589dbccb95f9a8596f0507e232626155495c18105"},
+]
 
 [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 (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.2.2)", "diff-cover (>=7.5)", "pytest (>=7.2.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)", "pytest-timeout (>=2.1)"]
 
 [[package]]
 name = "flask"
-version = "2.0.3"
+version = "2.2.3"
 description = "A simple framework for building complex web applications."
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
+files = [
+    {file = "Flask-2.2.3-py3-none-any.whl", hash = "sha256:c0bec9477df1cb867e5a67c9e1ab758de9cb4a3e52dd70681f59fa40a62b3f2d"},
+    {file = "Flask-2.2.3.tar.gz", hash = "sha256:7eb373984bf1c770023fce9db164ed0c3353cd0b53f130f4693da0ca756a2e6d"},
+]
 
 [package.dependencies]
-click = ">=7.1.2"
+click = ">=8.0"
+importlib-metadata = {version = ">=3.6.0", markers = "python_version < \"3.10\""}
 itsdangerous = ">=2.0"
 Jinja2 = ">=3.0"
-Werkzeug = ">=2.0"
+Werkzeug = ">=2.2.2"
 
 [package.extras]
 async = ["asgiref (>=3.2)"]
@@ -190,9 +460,12 @@ dotenv = ["python-dotenv"]
 name = "flask-restful"
 version = "0.3.9"
 description = "Simple framework for creating REST APIs"
-category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "Flask-RESTful-0.3.9.tar.gz", hash = "sha256:ccec650b835d48192138c85329ae03735e6ced58e9b2d9c2146d6c84c06fa53e"},
+    {file = "Flask_RESTful-0.3.9-py2.py3-none-any.whl", hash = "sha256:4970c49b6488e46c520b325f54833374dc2b98e211f1b272bd4b0c516232afe2"},
+]
 
 [package.dependencies]
 aniso8601 = ">=0.82"
@@ -205,14 +478,17 @@ docs = ["sphinx"]
 
 [[package]]
 name = "fonttools"
-version = "4.34.2"
+version = "4.39.2"
 description = "Tools to manipulate font files"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
+files = [
+    {file = "fonttools-4.39.2-py3-none-any.whl", hash = "sha256:85245aa2fd4cf502a643c9a9a2b5a393703e150a6eaacc3e0e84bb448053f061"},
+    {file = "fonttools-4.39.2.zip", hash = "sha256:e2d9f10337c9e3b17f9bce17a60a16a885a7d23b59b7f45ce07ea643e5580439"},
+]
 
 [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", "uharfbuzz (>=0.23.0)", "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 (>=15.0.0)", "xattr", "zopfli (>=0.1.4)"]
 graphite = ["lz4 (>=1.7.4.2)"]
 interpolatable = ["munkres", "scipy"]
 lxml = ["lxml (>=4.0,<5)"]
@@ -222,16 +498,19 @@ repacker = ["uharfbuzz (>=0.23.0)"]
 symfont = ["sympy"]
 type1 = ["xattr"]
 ufo = ["fs (>=2.2.0,<3)"]
-unicode = ["unicodedata2 (>=14.0.0)"]
+unicode = ["unicodedata2 (>=15.0.0)"]
 woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
 
 [[package]]
 name = "hypothesis"
 version = "5.49.0"
 description = "A library for property-based testing"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "hypothesis-5.49.0-py3-none-any.whl", hash = "sha256:e91111f2f01abf2566041c4c86366aa7f08bfd5b3d858cc77a545fcf67df335e"},
+    {file = "hypothesis-5.49.0.tar.gz", hash = "sha256:36a4d5587c34193125d654b61bf9284e24a227d1edd339c49143378658a10c7d"},
+]
 
 [package.dependencies]
 attrs = ">=19.2.0"
@@ -256,62 +535,98 @@ zoneinfo = ["backports.zoneinfo (>=0.2.1)", "importlib-resources (>=3.3.0)", "tz
 
 [[package]]
 name = "identify"
-version = "2.5.1"
+version = "2.5.22"
 description = "File identification library for Python"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "identify-2.5.22-py2.py3-none-any.whl", hash = "sha256:f0faad595a4687053669c112004178149f6c326db71ee999ae4636685753ad2f"},
+    {file = "identify-2.5.22.tar.gz", hash = "sha256:f7a93d6cf98e29bd07663c60728e7a4057615068d7a639d132dc883b2d54d31e"},
+]
 
 [package.extras]
 license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.3"
+version = "3.4"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
 optional = false
 python-versions = ">=3.5"
+files = [
+    {file = "idna-3.4-py3-none-any.whl", hash = "sha256:90b77e79eaa3eba6de819a0c442c0b4ceefc341a7a2ab77d7562bf49f425c5c2"},
+    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
+]
 
 [[package]]
 name = "imagesize"
 version = "1.4.1"
 description = "Getting image size from png/jpeg/jpeg2000/gif file"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "imagesize-1.4.1-py2.py3-none-any.whl", hash = "sha256:0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b"},
+    {file = "imagesize-1.4.1.tar.gz", hash = "sha256:69150444affb9cb0d5cc5a92b3676f0b2fb7cd9ae39e947a5e11a36b4497cd4a"},
+]
 
 [[package]]
 name = "importlib-metadata"
-version = "4.12.0"
+version = "6.1.0"
 description = "Read metadata from Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "importlib_metadata-6.1.0-py3-none-any.whl", hash = "sha256:ff80f3b5394912eb1b108fcfd444dc78b7f1f3e16b16188054bd01cb9cb86f09"},
+    {file = "importlib_metadata-6.1.0.tar.gz", hash = "sha256:43ce9281e097583d758c2c708c4376371261a02c34682491a8e98352365aad20"},
+]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["jaraco.packaging (>=9)", "rst.linker (>=1.9)", "sphinx"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "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 = "importlib-resources"
+version = "5.12.0"
+description = "Read resources from Python packages"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "importlib_resources-5.12.0-py3-none-any.whl", hash = "sha256:7b1deeebbf351c7578e09bf2f63fa2ce8b5ffec296e0d349139d43cca061a81a"},
+    {file = "importlib_resources-5.12.0.tar.gz", hash = "sha256:4be82589bf5c1d7999aedf2a45159d10cb3ca4f19b2271f8792bc8e6da7b22f6"},
+]
+
+[package.dependencies]
+zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
 
 [[package]]
 name = "iniconfig"
-version = "1.1.1"
-description = "iniconfig: brain-dead simple config-ini parsing"
-category = "dev"
+version = "2.0.0"
+description = "brain-dead simple config-ini parsing"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
+files = [
+    {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
+    {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
+]
 
 [[package]]
 name = "isodate"
 version = "0.6.1"
 description = "An ISO 8601 date/time/duration parser and formatter"
-category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "isodate-0.6.1-py2.py3-none-any.whl", hash = "sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96"},
+    {file = "isodate-0.6.1.tar.gz", hash = "sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9"},
+]
 
 [package.dependencies]
 six = "*"
@@ -320,17 +635,23 @@ six = "*"
 name = "itsdangerous"
 version = "2.1.2"
 description = "Safely pass data to untrusted environments and back."
-category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "itsdangerous-2.1.2-py3-none-any.whl", hash = "sha256:2c2349112351b88699d8d4b6b075022c0808887cb7ad10069318a8b0bc88db44"},
+    {file = "itsdangerous-2.1.2.tar.gz", hash = "sha256:5dbbc68b317e5e42f327f9021763545dc3fc3bfe22e6deb96aaf1fc38874156a"},
+]
 
 [[package]]
 name = "jinja2"
 version = "3.1.2"
 description = "A very fast and expressive template engine."
-category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
+    {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
+]
 
 [package.dependencies]
 MarkupSafe = ">=2.0"
@@ -340,185 +661,653 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "kiwisolver"
-version = "1.4.3"
+version = "1.4.4"
 description = "A fast implementation of the Cassowary constraint solver"
-category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2f5e60fabb7343a836360c4f0919b8cd0d6dbf08ad2ca6b9cf90bf0c76a3c4f6"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:10ee06759482c78bdb864f4109886dff7b8a56529bc1609d4f1112b93fe6423c"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c79ebe8f3676a4c6630fd3f777f3cfecf9289666c84e775a67d1d358578dc2e3"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:abbe9fa13da955feb8202e215c4018f4bb57469b1b78c7a4c5c7b93001699938"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:7577c1987baa3adc4b3c62c33bd1118c3ef5c8ddef36f0f2c950ae0b199e100d"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f8ad8285b01b0d4695102546b342b493b3ccc6781fc28c8c6a1bb63e95d22f09"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8ed58b8acf29798b036d347791141767ccf65eee7f26bde03a71c944449e53de"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a68b62a02953b9841730db7797422f983935aeefceb1679f0fc85cbfbd311c32"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-win32.whl", hash = "sha256:e92a513161077b53447160b9bd8f522edfbed4bd9759e4c18ab05d7ef7e49408"},
+    {file = "kiwisolver-1.4.4-cp310-cp310-win_amd64.whl", hash = "sha256:3fe20f63c9ecee44560d0e7f116b3a747a5d7203376abeea292ab3152334d004"},
+    {file = "kiwisolver-1.4.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:e0ea21f66820452a3f5d1655f8704a60d66ba1191359b96541eaf457710a5fc6"},
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 source = ["Cython (>=0.29.7)"]
 
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-description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
-category = "dev"
+version = "3.2.0"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "platformdirs-3.2.0-py3-none-any.whl", hash = "sha256:ebe11c0d7a805086e99506aa331612429a72ca7cd52a1f0d277dc4adc20cb10e"},
+    {file = "platformdirs-3.2.0.tar.gz", hash = "sha256:d5b638ca397f25f979350ff789db335903d7ea010ab28903f57b27e1b16c2b08"},
+]
 
 [package.extras]
-docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx (>=4)", "sphinx-autodoc-typehints (>=1.12)"]
-test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"]
+docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.2.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"]
 
 [[package]]
 name = "pluggy"
 version = "1.0.0"
 description = "plugin and hook calling mechanisms for python"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"},
+    {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"},
+]
 
 [package.extras]
 dev = ["pre-commit", "tox"]
@@ -526,27 +1315,32 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "2.19.0"
+version = "2.21.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "pre_commit-2.21.0-py2.py3-none-any.whl", hash = "sha256:e2f91727039fc39a92f58a588a25b87f936de6567eed4f0e673e0507edc75bad"},
+    {file = "pre_commit-2.21.0.tar.gz", hash = "sha256:31ef31af7e474a8d8995027fefdfcf509b5c913ff31f2015b4ec4beb26a6f658"},
+]
 
 [package.dependencies]
 cfgv = ">=2.0.0"
 identify = ">=1.0.0"
 nodeenv = ">=0.11.1"
 pyyaml = ">=5.1"
-toml = "*"
-virtualenv = ">=20.0.8"
+virtualenv = ">=20.10.0"
 
 [[package]]
 name = "prov"
 version = "1.5.3"
 description = "A library for W3C Provenance Data Model supporting PROV-JSON, PROV-XML and PROV-O (RDF)"
-category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "prov-1.5.3-py2.py3-none-any.whl", hash = "sha256:b9c553cc0775bf193eb62de69e2a2b3bab545ab8e6bf597be243e8f0916e1d1b"},
+    {file = "prov-1.5.3.tar.gz", hash = "sha256:a0c951107eafd508d5a26caa54863dc11fee3da86778db2a559d32450d2030a9"},
+]
 
 [package.dependencies]
 lxml = ">=3.3.5"
@@ -562,25 +1356,37 @@ dot = ["pydot (>=1.2.0)"]
 name = "py"
 version = "1.11.0"
 description = "library with cross-python path, ini-parsing, io, code, log facilities"
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "py-1.11.0-py2.py3-none-any.whl", hash = "sha256:607c53218732647dff4acdfcd50cb62615cedf612e72d1724fb1a0cc6405b378"},
+    {file = "py-1.11.0.tar.gz", hash = "sha256:51c75c4126074b472f746a24399ad32f6053d1b34b68d2fa41e558e6f4a98719"},
+]
 
 [[package]]
 name = "pygments"
-version = "2.12.0"
+version = "2.14.0"
 description = "Pygments is a syntax highlighting package written in Python."
-category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "Pygments-2.14.0-py3-none-any.whl", hash = "sha256:fa7bd7bd2771287c0de303af8bfdfc731f51bd2c6a47ab69d117138893b82717"},
+    {file = "Pygments-2.14.0.tar.gz", hash = "sha256:b3ed06a9e8ac9a9aae5a6f5dbe78a8a58655d17b43b93c078f094ddc476ae297"},
+]
+
+[package.extras]
+plugins = ["importlib-metadata"]
 
 [[package]]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "main"
 optional = false
 python-versions = ">=3.6.8"
+files = [
+    {file = "pyparsing-3.0.9-py3-none-any.whl", hash = "sha256:5026bae9a10eeaefb61dab2f09052b9f4307d44aee4eda64b309723d8d206bbc"},
+    {file = "pyparsing-3.0.9.tar.gz", hash = "sha256:2b020ecf7d21b687f219b71ecad3631f644a47f01403fa1d1036b0c6416d70fb"},
+]
 
 [package.extras]
 diagrams = ["jinja2", "railroad-diagrams"]
@@ -589,9 +1395,12 @@ diagrams = ["jinja2", "railroad-diagrams"]
 name = "pytest"
 version = "6.2.5"
 description = "pytest: simple powerful testing with Python"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "pytest-6.2.5-py3-none-any.whl", hash = "sha256:7310f8d27bc79ced999e760ca304d69f6ba6c6649c0b60fb0e04a4a77cacc134"},
+    {file = "pytest-6.2.5.tar.gz", hash = "sha256:131b36680866a76e6781d13f101efb86cf674ebb9762eb70d3082b6f29889e89"},
+]
 
 [package.dependencies]
 atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
@@ -610,9 +1419,12 @@ testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xm
 name = "pytest-cov"
 version = "2.12.1"
 description = "Pytest plugin for measuring coverage."
-category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "pytest-cov-2.12.1.tar.gz", hash = "sha256:261ceeb8c227b726249b376b8526b600f38667ee314f910353fa318caa01f4d7"},
+    {file = "pytest_cov-2.12.1-py2.py3-none-any.whl", hash = "sha256:261bb9e47e65bd099c89c3edf92972865210c36813f80ede5277dceb77a4a62a"},
+]
 
 [package.dependencies]
 coverage = ">=5.2.1"
@@ -624,11 +1436,14 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale
 
 [[package]]
 name = "pytest-forked"
-version = "1.4.0"
+version = "1.6.0"
 description = "run tests in isolated forked subprocesses"
-category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
+files = [
+    {file = "pytest-forked-1.6.0.tar.gz", hash = "sha256:4dafd46a9a600f65d822b8f605133ecf5b3e1941ebb3588e943b4e3eb71a5a3f"},
+    {file = "pytest_forked-1.6.0-py3-none-any.whl", hash = "sha256:810958f66a91afb1a1e2ae83089d8dc1cd2437ac96b12963042fbb9fb4d16af0"},
+]
 
 [package.dependencies]
 py = "*"
@@ -638,9 +1453,12 @@ pytest = ">=3.10"
 name = "pytest-xdist"
 version = "2.5.0"
 description = "pytest xdist plugin for distributed testing and loop-on-failing modes"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "pytest-xdist-2.5.0.tar.gz", hash = "sha256:4580deca3ff04ddb2ac53eba39d76cb5dd5edeac050cb6fbc768b0dd712b4edf"},
+    {file = "pytest_xdist-2.5.0-py3-none-any.whl", hash = "sha256:6fe5c74fec98906deb8f2d2b616b5c782022744978e7bd4695d39c8f42d0ce65"},
+]
 
 [package.dependencies]
 execnet = ">=1.1"
@@ -656,71 +1474,128 @@ testing = ["filelock"]
 name = "python-dateutil"
 version = "2.8.2"
 description = "Extensions to the standard Python datetime module"
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+files = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 
 [package.dependencies]
 six = ">=1.5"
 
 [[package]]
 name = "pytz"
-version = "2022.1"
+version = "2023.2"
 description = "World timezone definitions, modern and historical"
-category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "pytz-2023.2-py2.py3-none-any.whl", hash = "sha256:8a8baaf1e237175b02f5c751eea67168043a749c843989e2b3015aa1ad9db68b"},
+    {file = "pytz-2023.2.tar.gz", hash = "sha256:a27dcf612c05d2ebde626f7d506555f10dfc815b3eddccfaadfc7d99b11c9a07"},
+]
 
 [[package]]
 name = "pyyaml"
 version = "6.0"
 description = "YAML parser and emitter for Python"
-category = "dev"
 optional = false
 python-versions = ">=3.6"
+files = [
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+]
 
 [[package]]
 name = "rdflib"
-version = "6.1.1"
+version = "6.3.2"
 description = "RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information."
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.7,<4.0"
+files = [
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+]
 
 [package.dependencies]
-isodate = "*"
-pyparsing = "*"
+isodate = ">=0.6.0,<0.7.0"
+pyparsing = ">=2.1.0,<4"
 
 [package.extras]
-docs = ["sphinx (<5)", "sphinxcontrib-apidoc"]
-html = ["html5lib"]
-tests = ["berkeleydb", "html5lib", "networkx", "pytest", "pytest-cov", "pytest-subtests"]
+berkeleydb = ["berkeleydb (>=18.1.0,<19.0.0)"]
+html = ["html5lib (>=1.0,<2.0)"]
+lxml = ["lxml (>=4.3.0,<5.0.0)"]
+networkx = ["networkx (>=2.0.0,<3.0.0)"]
 
 [[package]]
 name = "requests"
-version = "2.28.1"
+version = "2.28.2"
 description = "Python HTTP for Humans."
-category = "main"
 optional = false
 python-versions = ">=3.7, <4"
+files = [
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+]
 
 [package.dependencies]
 certifi = ">=2017.4.17"
-charset-normalizer = ">=2,<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)"]
-use_chardet_on_py3 = ["chardet (>=3.0.2,<6)"]
+use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "sal"
 version = "1.2.5"
 description = "Simple Access Layer: A general purpose data system framework."
-category = "main"
 optional = false
 python-versions = "*"
+files = [
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+    {file = "sal-1.2.5.tar.gz", hash = "sha256:369f059fb775dbc320e380d590e04ac5692726f09bb4df08de35bfcad78f5f83"},
+]
 
 [package.dependencies]
 flask = "*"
@@ -734,68 +1609,101 @@ ldap = ["ldap3"]
 
 [[package]]
 name = "scipy"
-version = "1.9.3"
+version = "1.10.1"
 description = "Fundamental algorithms for scientific computing in Python"
-category = "main"
 optional = false
-python-versions = ">=3.8"
+python-versions = "<3.12,>=3.8"
+files = [
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+    {file = "scipy-1.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9"},
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+    {file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51af417a000d2dbe1ec6c372dfe688e041a7084da4fdd350aeb139bd3fb55353"},
+    {file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b4735d6c28aad3cdcf52117e0e91d6b39acd4272f3f5cd9907c24ee931ad601"},
+    {file = "scipy-1.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ff7f37b1bf4417baca958d254e8e2875d0cc23aaadbe65b3d5b3077b0eb23ea"},
+    {file = "scipy-1.10.1.tar.gz", hash = "sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5"},
+]
 
 [package.dependencies]
-numpy = ">=1.18.5,<1.26.0"
+numpy = ">=1.19.5,<1.27.0"
 
 [package.extras]
-dev = ["flake8", "mypy", "pycodestyle", "typing-extensions"]
-doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
-test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
+dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"]
+doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
+test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
 
 [[package]]
-name = "setuptools-scm"
-version = "7.0.4"
-description = "the blessed package to manage your versions by scm tags"
-category = "main"
+name = "setuptools"
+version = "67.6.0"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.7"
-
-[package.dependencies]
-packaging = ">=20.0"
-tomli = ">=1.0.0"
-typing-extensions = "*"
+files = [
+    {file = "setuptools-67.6.0-py3-none-any.whl", hash = "sha256:b78aaa36f6b90a074c1fa651168723acbf45d14cb1196b6f02c0fd07f17623b2"},
+    {file = "setuptools-67.6.0.tar.gz", hash = "sha256:2ee892cd5f29f3373097f5a814697e397cf3ce313616df0af11231e2ad118077"},
+]
 
 [package.extras]
-test = ["pytest (>=6.2)", "virtualenv (>20)"]
-toml = ["setuptools (>=42)"]
+docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "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", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
+testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
 name = "six"
 version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
 
 [[package]]
 name = "snowballstemmer"
 version = "2.2.0"
 description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
-category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
+    {file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
+]
 
 [[package]]
 name = "sortedcontainers"
 version = "2.4.0"
 description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
-category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
+    {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
+]
 
 [[package]]
 name = "sphinx"
 version = "4.5.0"
 description = "Python documentation generator"
-category = "main"
 optional = false
 python-versions = ">=3.6"
+files = [
+    {file = "Sphinx-4.5.0-py3-none-any.whl", hash = "sha256:ebf612653238bcc8f4359627a9b7ce44ede6fdd75d9d30f68255c7383d3a6226"},
+    {file = "Sphinx-4.5.0.tar.gz", hash = "sha256:7bf8ca9637a4ee15af412d1a1d9689fec70523a68ca9bb9127c2f3eeb344e2e6"},
+]
 
 [package.dependencies]
 alabaster = ">=0.7,<0.8"
@@ -823,26 +1731,33 @@ test = ["cython", "html5lib", "pytest", "pytest-cov", "typed-ast"]
 
 [[package]]
 name = "sphinx-rtd-theme"
-version = "1.0.0"
+version = "1.2.0"
 description = "Read the Docs theme for Sphinx"
-category = "main"
 optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
+files = [
+    {file = "sphinx_rtd_theme-1.2.0-py2.py3-none-any.whl", hash = "sha256:f823f7e71890abe0ac6aaa6013361ea2696fc8d3e1fa798f463e82bdb77eeff2"},
+    {file = "sphinx_rtd_theme-1.2.0.tar.gz", hash = "sha256:a0d8bd1a2ed52e0b338cbe19c4b2eef3c5e7a048769753dac6a9f059c7b641b8"},
+]
 
 [package.dependencies]
-docutils = "<0.18"
-sphinx = ">=1.6"
+docutils = "<0.19"
+sphinx = ">=1.6,<7"
+sphinxcontrib-jquery = {version = ">=2.0.0,<3.0.0 || >3.0.0", markers = "python_version > \"3\""}
 
 [package.extras]
-dev = ["bump2version", "sphinxcontrib-httpdomain", "transifex-client"]
+dev = ["bump2version", "sphinxcontrib-httpdomain", "transifex-client", "wheel"]
 
 [[package]]
 name = "sphinxcontrib-applehelp"
-version = "1.0.2"
-description = "sphinxcontrib-applehelp is a sphinx extension which outputs Apple help books"
-category = "main"
+version = "1.0.4"
+description = "sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
+files = [
+    {file = "sphinxcontrib-applehelp-1.0.4.tar.gz", hash = "sha256:828f867945bbe39817c210a1abfd1bc4895c8b73fcaade56d45357a348a07d7e"},
+    {file = "sphinxcontrib_applehelp-1.0.4-py3-none-any.whl", hash = "sha256:29d341f67fb0f6f586b23ad80e072c8e6ad0b48417db2bde114a4c9746feb228"},
+]
 
 [package.extras]
 lint = ["docutils-stubs", "flake8", "mypy"]
@@ -852,9 +1767,12 @@ test = ["pytest"]
 name = "sphinxcontrib-devhelp"
 version = "1.0.2"
 description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp document."
-category = "main"
 optional = false
 python-versions = ">=3.5"
+files = [
+    {file = "sphinxcontrib-devhelp-1.0.2.tar.gz", hash = "sha256:ff7f1afa7b9642e7060379360a67e9c41e8f3121f2ce9164266f61b9f4b338e4"},
+    {file = "sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e"},
+]
 
 [package.extras]
 lint = ["docutils-stubs", "flake8", "mypy"]
@@ -862,23 +1780,43 @@ test = ["pytest"]
 
 [[package]]
 name = "sphinxcontrib-htmlhelp"
-version = "2.0.0"
+version = "2.0.1"
 description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
-category = "main"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
+files = [
+    {file = "sphinxcontrib-htmlhelp-2.0.1.tar.gz", hash = "sha256:0cbdd302815330058422b98a113195c9249825d681e18f11e8b1f78a2f11efff"},
+    {file = "sphinxcontrib_htmlhelp-2.0.1-py3-none-any.whl", hash = "sha256:c38cb46dccf316c79de6e5515e1770414b797162b23cd3d06e67020e1d2a6903"},
+]
 
 [package.extras]
 lint = ["docutils-stubs", "flake8", "mypy"]
 test = ["html5lib", "pytest"]
 
+[[package]]
+name = "sphinxcontrib-jquery"
+version = "4.1"
+description = "Extension to include jQuery on newer Sphinx releases"
+optional = false
+python-versions = ">=2.7"
+files = [
+    {file = "sphinxcontrib-jquery-4.1.tar.gz", hash = "sha256:1620739f04e36a2c779f1a131a2dfd49b2fd07351bf1968ced074365933abc7a"},
+    {file = "sphinxcontrib_jquery-4.1-py2.py3-none-any.whl", hash = "sha256:f936030d7d0147dd026a4f2b5a57343d233f1fc7b363f68b3d4f1cb0993878ae"},
+]
+
+[package.dependencies]
+Sphinx = ">=1.8"
+
 [[package]]
 name = "sphinxcontrib-jsmath"
 version = "1.0.1"
 description = "A sphinx extension which renders display math in HTML via JavaScript"
-category = "main"
 optional = false
 python-versions = ">=3.5"
+files = [
+    {file = "sphinxcontrib-jsmath-1.0.1.tar.gz", hash = "sha256:a9925e4a4587247ed2191a22df5f6970656cb8ca2bd6284309578f2153e0c4b8"},
+    {file = "sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl", hash = "sha256:2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178"},
+]
 
 [package.extras]
 test = ["flake8", "mypy", "pytest"]
@@ -887,23 +1825,28 @@ test = ["flake8", "mypy", "pytest"]
 name = "sphinxcontrib-plantuml"
 version = "0.23"
 description = "Sphinx \"plantuml\" extension"
-category = "main"
 optional = false
 python-versions = "*"
+files = [
+    {file = "sphinxcontrib-plantuml-0.23.tar.gz", hash = "sha256:1d55518f0a86ecd6c96ba8ff8c884adca05bac3e58e76a692a3cd19aa7f42acf"},
+]
 
 [package.dependencies]
 Sphinx = ">=1.6"
 
 [package.extras]
-test = ["flake8", "pillow", "pytest"]
+test = ["Pillow", "flake8", "pytest"]
 
 [[package]]
 name = "sphinxcontrib-qthelp"
 version = "1.0.3"
 description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp document."
-category = "main"
 optional = false
 python-versions = ">=3.5"
+files = [
+    {file = "sphinxcontrib-qthelp-1.0.3.tar.gz", hash = "sha256:4c33767ee058b70dba89a6fc5c1892c0d57a54be67ddd3e7875a18d14cba5a72"},
+    {file = "sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl", hash = "sha256:bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6"},
+]
 
 [package.extras]
 lint = ["docutils-stubs", "flake8", "mypy"]
@@ -913,9 +1856,12 @@ test = ["pytest"]
 name = "sphinxcontrib-serializinghtml"
 version = "1.1.5"
 description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)."
-category = "main"
 optional = false
 python-versions = ">=3.5"
+files = [
+    {file = "sphinxcontrib-serializinghtml-1.1.5.tar.gz", hash = "sha256:aa5f6de5dfdf809ef505c4895e51ef5c9eac17d0f287933eb49ec495280b6952"},
+    {file = "sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl", hash = "sha256:352a9a00ae864471d3a7ead8d7d79f5fc0b57e8b3f95e9867eb9eb28999b92fd"},
+]
 
 [package.extras]
 lint = ["docutils-stubs", "flake8", "mypy"]
@@ -925,889 +1871,153 @@ test = ["pytest"]
 name = "toml"
 version = "0.10.2"
 description = "Python Library for Tom's Obvious, Minimal Language"
-category = "dev"
 optional = false
 python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
+    {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
+]
 
 [[package]]
 name = "tomli"
 version = "2.0.1"
 description = "A lil' TOML parser"
-category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"},
+    {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
+]
 
 [[package]]
 name = "types-setuptools"
 version = "57.4.18"
 description = "Typing stubs for setuptools"
-category = "dev"
 optional = false
 python-versions = "*"
+files = [
+    {file = "types-setuptools-57.4.18.tar.gz", hash = "sha256:8ee03d823fe7fda0bd35faeae33d35cb5c25b497263e6a58b34c4cfd05f40bcf"},
+    {file = "types_setuptools-57.4.18-py3-none-any.whl", hash = "sha256:9660b8774b12cd61b448e2fd87a667c02e7ec13ce9f15171f1d49a4654c4df6a"},
+]
 
 [[package]]
 name = "typing-extensions"
-version = "4.3.0"
+version = "4.5.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
-category = "main"
 optional = false
 python-versions = ">=3.7"
+files = [
+    {file = "typing_extensions-4.5.0-py3-none-any.whl", hash = "sha256:fb33085c39dd998ac16d1431ebc293a8b3eedd00fd4a32de0ff79002c19511b4"},
+    {file = "typing_extensions-4.5.0.tar.gz", hash = "sha256:5cb5f4a79139d699607b3ef622a1dedafa84e115ab0024e0d9c044a9479ca7cb"},
+]
+
+[[package]]
+name = "tzdata"
+version = "2023.3"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
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+lock-version = "2.0"
+python-versions = ">=3.8,<3.12"
+content-hash = "506e8008bcb69d401f72c6d7170f0029321e9f4a82ad5cc24a3124aa725264df"
diff --git a/pyproject.toml b/pyproject.toml
index 3e9661ac..2c40a48c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -40,12 +40,12 @@ readme = 'README.md'  # Markdown files are supported
 include = [".git", "indica/git_version"]
 
 [tool.poetry.dependencies]
-python = ">=3.8,<3.11"
+python = ">=3.8,<3.12"
 prov = "^1.5.3"
 netCDF4 = "^1.5.4"
 numpy = "^1.21.0"
 scipy = "^1.6.2"
-xarray = "0.16.0"
+xarray = ">=2022.06.0,<2023.03.0"
 matplotlib = "^3.3.0"
 sal = "^1.2.2"
 sphinx = {version = "^4.0.0", optional = true}
@@ -56,7 +56,7 @@ sphinxcontrib-plantuml = {version = "^0.23", optional = true}
 click = "^8.0.0"
 coverage = {extras = ["toml"], version = "^5.2.1"}
 hypothesis = {extras = ["numpy"], version = "^5.24.2"}
-mypy = "^0.942"
+mypy = "^1.1.1"
 pre-commit = "^2.9.2"
 pytest = "^6.0.1"
 pytest-cov = "^2.10.0"


Test patch:
diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml
index 957845c5..f36bac81 100644
--- a/.github/workflows/tests.yml
+++ b/.github/workflows/tests.yml
@@ -37,7 +37,7 @@ jobs:
     - name: Install Poetry
       uses: abatilo/actions-poetry@v2.0.0
       with:
-        poetry-version: 1.1.15
+        poetry-version: 1.4.1
 
     - name: Configure poetry
       shell: bash
@@ -65,6 +65,9 @@ jobs:
 
     - name: "Upload coverage to Codecov"
       if: ${{ always() }}
-      uses: codecov/codecov-action@v1
+      uses: codecov/codecov-action@v3
       with:
+        token: ${{ secrets.CODECOV_TOKEN }}
+        files: ./coverage.xml
         fail_ci_if_error: true
+        verbose: true
diff --git a/tests/regression/operators/test_bolometry_derivation.py b/tests/regression/operators/test_bolometry_derivation.py
index f88f6a3b..9e99e392 100644
--- a/tests/regression/operators/test_bolometry_derivation.py
+++ b/tests/regression/operators/test_bolometry_derivation.py
@@ -278,8 +278,8 @@ def test_bolometry_derivation():
         ),
         coords=[
             ("element", impurity_elements),
-            ("rho_poloidal", rho_arr),
-            ("theta", theta_arr),
+            ("rho_poloidal", rho_arr.data),
+            ("theta", theta_arr.data),
             ("t", t_arr),
         ],
         dims=["element", "rho_poloidal", "theta", "t"],
diff --git a/tests/unit/converters/test_lines_of_sight.py b/tests/unit/converters/test_lines_of_sight.py
index a327713a..0155bd9f 100644
--- a/tests/unit/converters/test_lines_of_sight.py
+++ b/tests/unit/converters/test_lines_of_sight.py
@@ -271,7 +271,7 @@ def los_coordinates_parameters(
     start_distance = draw(floats(0.0, max_dist))
     lengths = draw(
         arrays(
-            np.float,
+            np.float64,
             len(angles),
             elements=floats(-0.4, 1.0, exclude_max=True).map(lambda x: x + 0.5),
             fill=just(0.5),
diff --git a/tests/unit/converters/test_time.py b/tests/unit/converters/test_time.py
index bd7906d7..2357d9b6 100644
--- a/tests/unit/converters/test_time.py
+++ b/tests/unit/converters/test_time.py
@@ -70,9 +70,9 @@ def useful_data_arrays(
 
 def linear_data_array(a, b, times, abs_err):
     """Create a DataArray where values are ``a*times + b``."""
-    result = DataArray(a * times + b, coords=[("t", times)])
+    result = DataArray(a * times + b, coords=[("t", times.data)])
     result.attrs["error"] = DataArray(
-        np.ones_like(times) * abs_err, coords=[("t", times)]
+        np.ones_like(times) * abs_err, coords=[("t", times.data)]
     )
     return result
 
@@ -254,14 +254,15 @@ def test_interpolate_downsample(tstart, tend, n, data, method):
     frequency = (n - 1) / (tend - tstart)
     result = convert_in_time(tstart, tend, frequency, data, "cubic")
     result2 = convert_in_time(new_tstart, new_tend, original_freq, result, method)
-    assert np.all(
-        result2.values
-        == approx(data.sel(t=new_times).values, rel=1e-1, abs=1e-2, nan_ok=True)
+    np.testing.assert_allclose(
+        result2.values, data.sel(t=new_times).values, rtol=1e-1, atol=1e-2
     )
     if "dropped" in data.attrs:
-        assert np.all(
-            result2.attrs["dropped"].values
-            == approx(data.attrs["dropped"].sel(t=new_times).values, rel=1e-1, abs=1e-2)
+        np.testing.assert_allclose(
+            result2.attrs["dropped"].values,
+            data.attrs["dropped"].sel(t=new_times).values,
+            rtol=1e-1,
+            atol=1e-2,
         )
 
 
diff --git a/tests/unit/fake_equilibrium.py b/tests/unit/fake_equilibrium.py
index 0ac6ea5d..8616c8ff 100644
--- a/tests/unit/fake_equilibrium.py
+++ b/tests/unit/fake_equilibrium.py
@@ -77,7 +77,7 @@ def __init__(
         Bmax=1.0,
         **kwargs
     ):
-        ones = DataArray(np.ones_like(default_t), coords=[("t", default_t)])
+        ones = DataArray(np.ones_like(default_t), coords=[("t", default_t.data)])
         self.rmag = np.abs(Rmag) * ones
         self.zmag = zmag * ones
         self.parameters = kwargs
diff --git a/tests/unit/operators/test_atomic_data.py b/tests/unit/operators/test_atomic_data.py
index f0a41598..ad559b69 100644
--- a/tests/unit/operators/test_atomic_data.py
+++ b/tests/unit/operators/test_atomic_data.py
@@ -1,4 +1,5 @@
 import copy
+from typing import Optional
 import unittest
 
 import numpy as np
@@ -20,11 +21,11 @@ class Exception_Frac_Abund_Test_Case(unittest.TestCase):
     def __init__(
         self,
         FracAbundObj: FractionalAbundance,
-        Ne: DataArray = None,
-        Te: DataArray = None,
-        Nh: DataArray = None,
-        tau: LabeledArray = None,
-        F_z_t0: DataArray = None,
+        Ne: Optional[DataArray] = None,
+        Te: Optional[DataArray] = None,
+        Nh: Optional[DataArray] = None,
+        tau: Optional[LabeledArray] = None,
+        F_z_t0: Optional[DataArray] = None,
     ):
         self.SCD = FracAbundObj.SCD
         self.ACD = FracAbundObj.ACD
@@ -197,10 +198,10 @@ class Exception_Power_Loss_Test_Case(unittest.TestCase):
     def __init__(
         self,
         PowerLossObj: PowerLoss,
-        Ne: DataArray = None,
-        Te: DataArray = None,
-        Nh: DataArray = None,
-        F_z_t: DataArray = None,
+        Ne: Optional[DataArray] = None,
+        Te: Optional[DataArray] = None,
+        Nh: Optional[DataArray] = None,
+        F_z_t: Optional[DataArray] = None,
     ):
         self.PLT = PowerLossObj.PLT
         self.PRB = PowerLossObj.PRB
diff --git a/tests/unit/operators/test_bolometry_derivation.py b/tests/unit/operators/test_bolometry_derivation.py
index 4e2621f6..287246f2 100644
--- a/tests/unit/operators/test_bolometry_derivation.py
+++ b/tests/unit/operators/test_bolometry_derivation.py
@@ -541,8 +541,8 @@ def test_bolometry_derivation():
         ),
         coords=[
             ("elements", impurity_elements),
-            ("rho_poloidal", rho_arr),
-            ("theta", theta_arr),
+            ("rho_poloidal", rho_arr.data),
+            ("theta", theta_arr.data),
             ("t", t_arr),
         ],
         dims=["elements", "rho_poloidal", "theta", "t"],
diff --git a/tests/unit/operators/test_extrapolate_impurity_density.py b/tests/unit/operators/test_extrapolate_impurity_density.py
index f0b7fc3e..bd835980 100644
--- a/tests/unit/operators/test_extrapolate_impurity_density.py
+++ b/tests/unit/operators/test_extrapolate_impurity_density.py
@@ -989,7 +989,7 @@ def test_extrapolate_impurity_density_call():
             ("element", elements),
             ("rho_poloidal", rho_profile),
             ("theta", theta_profile),
-            ("t", t),
+            ("t", t.data),
         ],
         dims=["element", "rho_poloidal", "theta", "t"],
     )
diff --git a/tests/unit/operators/test_impurity_concentration.py b/tests/unit/operators/test_impurity_concentration.py
index 9af25261..f5d24a74 100644
--- a/tests/unit/operators/test_impurity_concentration.py
+++ b/tests/unit/operators/test_impurity_concentration.py
@@ -160,13 +160,13 @@ def fractional_abundance_setup(element: str, t: LabeledArray) -> DataArray:
 
     input_Ne = DataArray(
         data=np.tile(np.array([5.0e19, 4.0e19, 3.0e19, 2.0e19, 1.0e19]), (len(t), 1)).T,
-        coords=[("rho_poloidal", rho_profile), ("t", t)],
+        coords=[("rho_poloidal", rho_profile), ("t", t.data)],
         dims=["rho_poloidal", "t"],
     )
 
     input_Te = DataArray(
         data=np.tile(np.array([3.0e3, 1.5e3, 0.5e3, 0.2e3, 0.1e3]), (len(t), 1)).T,
-        coords=[("rho_poloidal", rho_profile), ("t", t)],
+        coords=[("rho_poloidal", rho_profile), ("t", t.data)],
         dims=["rho_poloidal", "t"],
     )
 
diff --git a/tests/unit/operators/test_invert_radiation.py b/tests/unit/operators/test_invert_radiation.py
index 14a69ae2..4bdfd67b 100644
--- a/tests/unit/operators/test_invert_radiation.py
+++ b/tests/unit/operators/test_invert_radiation.py
@@ -123,12 +123,14 @@ def test_invert_radiation():
         InvertRadiation.knot_positions(6, rho_max.mean("t")), "rho_poloidal"
     )
     expected_sym = (
-        DataArray([1.0, 0.9, 0.8, 0.2, 0.1, 0.0], coords=[("rho_poloidal", knot_locs)])
+        DataArray(
+            [1.0, 0.9, 0.8, 0.2, 0.1, 0.0], coords=[("rho_poloidal", knot_locs.data)]
+        )
         * (1 + 0.01 * times)
         * 3e3
     )
     expected_asym = DataArray(
-        [0.0, 0.1, 0.2, 0.22, 0.05, 0.0], coords=[("rho_poloidal", knot_locs)]
+        [0.0, 0.1, 0.2, 0.22, 0.05, 0.0], coords=[("rho_poloidal", knot_locs.data)]
     ) * (1 - 0.002 * times)
     expected_profile = EmissivityProfile(expected_sym, expected_asym, flux_coords)
     los_x1_grid = coord_array(np.arange(n_los), "alpha_coords")
@@ -144,7 +146,7 @@ def test_invert_radiation():
     flux.attrs["partial_provenance"] = MagicMock()
     flux.attrs["provenance"] = MagicMock()
     flux.attrs["transform"] = los_transform
-    inverter = InvertRadiation(1, "sxr", len(knot_locs), n_int, MagicMock())
+    inverter = InvertRadiation(1, "sxr", len(knot_locs.data), n_int, MagicMock())
     R_grid = coord_array(np.linspace(0.1, 1.1, 6), "R")
     z_grid = coord_array(np.linspace(-1.0, 1.0, 5), "z")
     emissivity, fit_params, cam_data = inverter(R_grid, z_grid, times, flux)
diff --git a/tests/unit/operators/test_main_ion_density.py b/tests/unit/operators/test_main_ion_density.py
index 4b85ed64..d6c7d837 100644
--- a/tests/unit/operators/test_main_ion_density.py
+++ b/tests/unit/operators/test_main_ion_density.py
@@ -70,12 +70,12 @@ def fractional_abundance_setup(element: str, t: LabeledArray) -> DataArray:
     rho_profile = np.array([0.0, 0.4, 0.8, 0.95, 1.0], dtype=float)
     input_Ne = DataArray(
         data=np.tile(np.array([5.0e19, 4.0e19, 3.0e19, 2.0e19, 1.0e19]), (len(t), 1)).T,
-        coords=[("rho_poloidal", rho_profile), ("t", t)],
+        coords=[("rho_poloidal", rho_profile), ("t", t.data)],
         dims=["rho_poloidal", "t"],
     )
     input_Te = DataArray(
         data=np.tile(np.array([3.0e3, 1.5e3, 0.5e3, 0.2e3, 0.1e3]), (len(t), 1)).T,
-        coords=[("rho_poloidal", rho_profile), ("t", t)],
+        coords=[("rho_poloidal", rho_profile), ("t", t.data)],
         dims=["rho_poloidal", "t"],
     )
 
@@ -159,7 +159,7 @@ def test_main_ion_density():
 
     impurity_densities = DataArray(
         data=np.ones((len(elements), *rho.shape, *t.shape)),
-        coords=[("element", elements), ("rho_poloidal", rho), ("t", t)],
+        coords=[("element", elements), ("rho_poloidal", rho.data), ("t", t)],
         dims=["element", "rho_poloidal", "t"],
     )
 
diff --git a/tests/unit/strategies.py b/tests/unit/strategies.py
index a8371bfa..92758ed3 100644
--- a/tests/unit/strategies.py
+++ b/tests/unit/strategies.py
@@ -445,7 +445,7 @@ def arbitrary_coordinates(
     results = tuple(
         draw(
             hynp.arrays(
-                np.float,
+                np.float64,
                 shapes[i],
                 elements=hyst.floats(
                     min_value[i], max_value[i], allow_nan=False, allow_infinity=False
diff --git a/tests/unit/test_data.py b/tests/unit/test_data.py
index 4ce8c3a2..d72b0df5 100644
--- a/tests/unit/test_data.py
+++ b/tests/unit/test_data.py
@@ -479,7 +479,7 @@ def test_attach_invalid_dims(dataset, key, data_array):
 def test_attach_valid(dataset, key):
     """Check attach method works correctly when given valid data"""
     assume(key not in dataset)
-    new_data = next(iter(dataset.values())).copy()
+    new_data = next(iter(dataset.values())).copy(deep=False)
     dataset.indica.attach(key, new_data, sess=MagicMock())
     assert dataset[key].equals(new_data)
     assert dataset.indica.datatype[1][key] == new_data.attrs["datatype"][0]