What happened?

Trying to use btyd package, which uses pymc, which uses xarray, I couldn't import the btyd package because of the following error in xarray:

TypeError: 'numpy._DTypeMeta' object is not subscriptable . . . File /local_disk0/.ephemeral_nfs/envs/pythonEnv-49869aff-4f3a-4860-917c-83ddd6e30ee4/lib/python3.10/site-packages/xarray/namedarray/_typing.py:28 24 _T = TypeVar("_T") 25 _T_co = TypeVar("_T_co", covariant=True) ---> 28 _DType = TypeVar("_DType", bound=np.dtype[Any]) 29 _DType_co = TypeVar("_DType_co", covariant=True, bound=np.dtype[Any]) 30 # A subset of `npt.DTypeLike` that can be parametrized w.r.t. `np.generic`

The newest xarray version was installed on my instance - it was working just fine before the newest release. Collecting xarray>=0.21.0 Downloading xarray-2023.10.0-py3-none-any.whl (1.1 MB)

Installing the previous version allowed btyd to install correctly.

I also just realized while filling this out (xr.show_versions()), xarray can't be imported on its own without throwing this error.

What did you expect to happen?

I expected btyd to be imported as usual (I just ran it this morning and it worked).

Minimal Complete Verifiable Example

```Python pip install btyd mlflow lifetimes

import btyd ```

MVCE confirmation

• [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
• [X] Complete example — the example is self-contained, including all data and the text of any traceback.
• [X] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
• [X] New issue — a search of GitHub Issues suggests this is not a duplicate.
• [X] Recent environment — the issue occurs with the latest version of xarray and its dependencies.

Relevant log output

```Python TypeError: 'numpy._DTypeMeta' object is not subscriptable

---

TypeError Traceback (most recent call last) File <command-2124478808935266>:9 6 import numpy as np 7 from datetime import timedelta ----> 9 import btyd 10 from btyd.fitters.beta_geo_fitter import BetaGeoFitter 12 from btyd.plotting import plot_calibration_purchases_vs_holdout_purchases

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/btyd/init.py:10 8 from .fitters.gamma_gamma_fitter import GammaGammaFitter 9 from .fitters.beta_geo_covar_fitter import BetaGeoCovarsFitter ---> 10 from .models import BaseModel 11 from .models.beta_geo_model import BetaGeoModel 13 version = "0.1.0a1"

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/btyd/models/init.py:14 11 import numpy as np 12 import pandas as pd ---> 14 import pymc as pm 15 import arviz as az 16 import aesara.tensor as at

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/init.py:49 44 aesara.config.gcc__cxxflags = augmented 47 __set_compiler_flags() ---> 49 from pymc import _version, gp, ode, sampling 50 from pymc.aesaraf import * 51 from pymc.backends import *

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/gp/init.py:15 1 # Copyright 2020 The PyMC Developers 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); (...) 12 # See the License for the specific language governing permissions and 13 # limitations under the License. ---> 15 from pymc.gp import cov, mean, util 16 from pymc.gp.gp import ( 17 TP, 18 Latent, (...) 23 MarginalSparse, 24 )

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/gp/util.py:32 29 from pymc.aesaraf import compile_pymc, walk_model 31 # Avoid circular dependency when importing modelcontext ---> 32 from pymc.distributions.distribution import Distribution 34 _ = Distribution # keep both pylint and black happy 35 from pymc.model import modelcontext

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/distributions/init.py:21 1 # Copyright 2020 The PyMC Developers 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); (...) 12 # See the License for the specific language governing permissions and 13 # limitations under the License. 15 from pymc.distributions.logprob import ( # isort:skip 16 logcdf, 17 logp, 18 joint_logp, 19 ) ---> 21 from pymc.distributions.bound import Bound 22 from pymc.distributions.censored import Censored 23 from pymc.distributions.continuous import ( 24 AsymmetricLaplace, 25 Beta, (...) 57 Weibull, 58 )

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/distributions/bound.py:24 21 from aesara.tensor.var import TensorVariable 23 from pymc.aesaraf import floatX, intX ---> 24 from pymc.distributions.continuous import BoundedContinuous, bounded_cont_transform 25 from pymc.distributions.dist_math import check_parameters 26 from pymc.distributions.distribution import Continuous, Discrete

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/distributions/continuous.py:78 76 from pymc.aesaraf import floatX 77 from pymc.distributions import transforms ---> 78 from pymc.distributions.dist_math import ( 79 SplineWrapper, 80 check_parameters, 81 clipped_beta_rvs, 82 i0e, 83 log_normal, 84 logpow, 85 normal_lccdf, 86 normal_lcdf, 87 zvalue, 88 ) 89 from pymc.distributions.distribution import DIST_PARAMETER_TYPES, Continuous 90 from pymc.distributions.shape_utils import rv_size_is_none

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/distributions/dist_math.py:40 37 from aesara.tensor.slinalg import Cholesky, SolveTriangular 39 from pymc.aesaraf import floatX ---> 40 from pymc.distributions.shape_utils import to_tuple 42 solve_lower = SolveTriangular(lower=True) 43 solve_upper = SolveTriangular(lower=False)

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/distributions/shape_utils.py:38 35 from typing_extensions import TypeAlias 37 from pymc.aesaraf import convert_observed_data ---> 38 from pymc.model import modelcontext 40 all = [ 41 "to_tuple", 42 "shapes_broadcasting", (...) 48 "change_dist_size", 49 ] 51 from pymc.aesaraf import PotentialShapeType

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/model.py:67 65 from pymc.distributions.transforms import _default_transform 66 from pymc.exceptions import ImputationWarning, SamplingError, ShapeError, ShapeWarning ---> 67 from pymc.initial_point import make_initial_point_fn 68 from pymc.util import ( 69 UNSET, 70 WithMemoization, (...) 76 treelist, 77 ) 78 from pymc.vartypes import continuous_types, discrete_types, typefilter

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/initial_point.py:29 26 from aesara.tensor.var import TensorVariable 28 from pymc.aesaraf import compile_pymc, find_rng_nodes, replace_rng_nodes, reseed_rngs ---> 29 from pymc.util import get_transformed_name, get_untransformed_name, is_transformed_name 31 StartDict = Dict[Union[Variable, str], Union[np.ndarray, Variable, str]] 32 PointType = Dict[str, np.ndarray]

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/pymc/util.py:20 16 import warnings 18 from typing import Any, Dict, List, Optional, Sequence, Tuple, Union, cast ---> 20 import arviz 21 import cloudpickle 22 import numpy as np

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/arviz/init.py:33 27 super()._log(level, msg, args, *kwargs) 30 _log = Logger("arviz") ---> 33 from .data import * 34 from .plots import * 35 from .plots.backends import *

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/arviz/data/init.py:2 1 """Code for loading and manipulating data structures.""" ----> 2 from .base import CoordSpec, DimSpec, dict_to_dataset, numpy_to_data_array 3 from .converters import convert_to_dataset, convert_to_inference_data 4 from .datasets import clear_data_home, list_datasets, load_arviz_data

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/arviz/data/base.py:11 8 from typing import Any, Callable, Dict, List, Optional, Tuple, TypeVar, Union 10 import numpy as np ---> 11 import xarray as xr 13 try: 14 import ujson as json

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/xarray/init.py:3 1 from importlib.metadata import version as _version ----> 3 from xarray import testing, tutorial 4 from xarray.backends.api import ( 5 load_dataarray, 6 load_dataset, (...) 10 save_mfdataset, 11 ) 12 from xarray.backends.zarr import open_zarr

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/xarray/testing.py:11 8 import pandas as pd 10 from xarray.core import duck_array_ops, formatting, utils ---> 11 from xarray.core.coordinates import Coordinates 12 from xarray.core.dataarray import DataArray 13 from xarray.core.dataset import Dataset

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/xarray/core/coordinates.py:16 13 import pandas as pd 15 from xarray.core import formatting ---> 16 from xarray.core.alignment import Aligner 17 from xarray.core.indexes import ( 18 Index, 19 Indexes, (...) 23 create_default_index_implicit, 24 ) 25 from xarray.core.merge import merge_coordinates_without_align, merge_coords

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/xarray/core/alignment.py:24 22 from xarray.core.types import T_Alignable 23 from xarray.core.utils import is_dict_like, is_full_slice ---> 24 from xarray.core.variable import Variable, as_compatible_data, calculate_dimensions 26 if TYPE_CHECKING: 27 from xarray.core.dataarray import DataArray

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/xarray/core/variable.py:48 30 from xarray.core.pycompat import ( 31 integer_types, 32 is_0d_dask_array, (...) 35 to_numpy, 36 ) 37 from xarray.core.utils import ( 38 OrderedSet, 39 _default, (...) 46 maybe_coerce_to_str, 47 ) ---> 48 from xarray.namedarray.core import NamedArray 50 NON_NUMPY_SUPPORTED_ARRAY_TYPES = ( 51 indexing.ExplicitlyIndexed, 52 pd.Index, 53 ) 54 # https://github.com/python/mypy/issues/224

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/xarray/namedarray/core.py:24 22 from xarray.core import dtypes, formatting, formatting_html 23 from xarray.namedarray._aggregations import NamedArrayAggregations ---> 24 from xarray.namedarray._typing import ( 25 _arrayfunction_or_api, 26 _chunkedarray, 27 _DType, 28 _DType_co, 29 _ScalarType_co, 30 _ShapeType_co, 31 ) 32 from xarray.namedarray.utils import ( 33 _default, 34 is_duck_dask_array, 35 to_0d_object_array, 36 ) 38 if TYPE_CHECKING:

File /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332/lib/python3.10/site-packages/xarray/namedarray/_typing.py:28 24 _T = TypeVar("_T") 25 _T_co = TypeVar("_T_co", covariant=True) ---> 28 _DType = TypeVar("_DType", bound=np.dtype[Any]) 29 _DType_co = TypeVar("_DType_co", covariant=True, bound=np.dtype[Any]) 30 # A subset of npt.DTypeLike that can be parametrized w.r.t. np.generic

TypeError: 'numpy._DTypeMeta' object is not subscriptable

from installs:

Collecting btyd Using cached btyd-0.1a1-py3-none-any.whl (594 kB) Collecting mlflow Using cached mlflow-2.7.1-py3-none-any.whl (18.5 MB) Collecting lifetimes Using cached Lifetimes-0.11.3-py3-none-any.whl (584 kB) Requirement already satisfied: psutil<6.0.0,>=5.8.0 in /databricks/python3/lib/python3.10/site-packages (from btyd) (5.9.0) Collecting pymc<5.0.0,>=4.0.0 Downloading pymc-4.4.0-py3-none-any.whl (590 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 590.2/590.2 kB 3.9 MB/s eta 0:00:00 Collecting dill==0.3.5.1 Using cached dill-0.3.5.1-py2.py3-none-any.whl (95 kB) Collecting autograd==1.4 Using cached autograd-1.4-py3-none-any.whl (48 kB) Requirement already satisfied: numpy>=1.12 in /databricks/python3/lib/python3.10/site-packages (from autograd==1.4->btyd) (1.21.5) Collecting future>=0.15.2 Using cached future-0.18.3-py3-none-any.whl Requirement already satisfied: importlib-metadata!=4.7.0,<7,>=3.7.0 in /usr/lib/python3/dist-packages (from mlflow) (4.6.4) Collecting sqlalchemy<3,>=1.4.0 Using cached SQLAlchemy-2.0.22-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB) Requirement already satisfied: packaging<24 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (21.3) Collecting sqlparse<1,>=0.4.0 Using cached sqlparse-0.4.4-py3-none-any.whl (41 kB) Collecting databricks-cli<1,>=0.8.7 Using cached databricks_cli-0.18.0-py2.py3-none-any.whl (150 kB) Collecting alembic!=1.10.0,<2 Using cached alembic-1.12.0-py3-none-any.whl (226 kB) Requirement already satisfied: click<9,>=7.0 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (8.0.4) Collecting gunicorn<22 Using cached gunicorn-21.2.0-py3-none-any.whl (80 kB) Requirement already satisfied: pytz<2024 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (2022.1) Requirement already satisfied: requests<3,>=2.17.3 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (2.28.1) Collecting gitpython<4,>=2.1.0 Using cached GitPython-3.1.40-py3-none-any.whl (190 kB) Collecting cloudpickle<3 Using cached cloudpickle-2.2.1-py3-none-any.whl (25 kB) Requirement already satisfied: protobuf<5,>=3.12.0 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (3.19.4) Requirement already satisfied: scipy<2 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (1.9.1) Requirement already satisfied: Jinja2<4,>=2.11 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (2.11.3) Requirement already satisfied: matplotlib<4 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (3.5.2) Collecting Flask<3 Using cached flask-2.3.3-py3-none-any.whl (96 kB) Requirement already satisfied: scikit-learn<2 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (1.1.1) Collecting docker<7,>=4.0.0 Using cached docker-6.1.3-py3-none-any.whl (148 kB) Collecting pyyaml<7,>=5.1 Using cached PyYAML-6.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (705 kB) Collecting markdown<4,>=3.3 Using cached Markdown-3.5-py3-none-any.whl (101 kB) Requirement already satisfied: entrypoints<1 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (0.4) Requirement already satisfied: pandas<3 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (1.4.4) Collecting querystring-parser<2 Using cached querystring_parser-1.2.4-py2.py3-none-any.whl (7.9 kB) Requirement already satisfied: pyarrow<14,>=4.0.0 in /databricks/python3/lib/python3.10/site-packages (from mlflow) (8.0.0) Requirement already satisfied: typing-extensions>=4 in /databricks/python3/lib/python3.10/site-packages (from alembic!=1.10.0,<2->mlflow) (4.3.0) Collecting Mako Using cached Mako-1.2.4-py3-none-any.whl (78 kB) Requirement already satisfied: oauthlib>=3.1.0 in /usr/lib/python3/dist-packages (from databricks-cli<1,>=0.8.7->mlflow) (3.2.0) Requirement already satisfied: pyjwt>=1.7.0 in /usr/lib/python3/dist-packages (from databricks-cli<1,>=0.8.7->mlflow) (2.3.0) 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aesara==2.8.7 Using cached aesara-2.8.7-py3-none-any.whl (1.4 MB) Collecting cachetools>=4.2.1 Using cached cachetools-5.3.1-py3-none-any.whl (9.3 kB) Collecting aeppl==0.0.38 Using cached aeppl-0.0.38-py3-none-any.whl (52 kB) Collecting fastprogress>=0.2.0 Using cached fastprogress-1.0.3-py3-none-any.whl (12 kB) Collecting miniKanren Using cached miniKanren-1.0.3-py3-none-any.whl Collecting logical-unification Using cached logical_unification-0.4.6-py3-none-any.whl Collecting cons Using cached cons-0.4.6-py3-none-any.whl Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from aesara==2.8.7->pymc<5.0.0,>=4.0.0->btyd) (3.12.0) Collecting etuples Using cached etuples-0.3.9-py3-none-any.whl Requirement already satisfied: setuptools>=48.0.0 in /databricks/python3/lib/python3.10/site-packages (from aesara==2.8.7->pymc<5.0.0,>=4.0.0->btyd) (63.4.1) Requirement already satisfied: certifi>=2017.4.17 in /databricks/python3/lib/python3.10/site-packages (from requests<3,>=2.17.3->mlflow) (2022.9.14) Requirement already satisfied: idna<4,>=2.5 in /databricks/python3/lib/python3.10/site-packages (from requests<3,>=2.17.3->mlflow) (3.3) Requirement already satisfied: charset-normalizer<3,>=2 in /databricks/python3/lib/python3.10/site-packages (from requests<3,>=2.17.3->mlflow) (2.0.4) Requirement already satisfied: joblib>=1.0.0 in /databricks/python3/lib/python3.10/site-packages (from scikit-learn<2->mlflow) (1.2.0) Requirement already satisfied: threadpoolctl>=2.0.0 in /databricks/python3/lib/python3.10/site-packages (from scikit-learn<2->mlflow) (2.2.0) Collecting greenlet!=0.4.17 Using cached greenlet-3.0.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (612 kB) Collecting xarray>=0.21.0 Using cached xarray-2023.10.0-py3-none-any.whl (1.1 MB) Collecting h5netcdf>=1.0.2 Using cached h5netcdf-1.2.0-py3-none-any.whl (43 kB) Collecting xarray-einstats>=0.3 Using cached xarray_einstats-0.6.0-py3-none-any.whl (31 kB) Collecting smmap<6,>=3.0.1 Using cached smmap-5.0.1-py3-none-any.whl (24 kB) Collecting MarkupSafe>=2.0 Using cached MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (25 kB) Collecting h5py Using cached h5py-3.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.8 MB) Collecting multipledispatch Using cached multipledispatch-1.0.0-py3-none-any.whl (12 kB) Collecting toolz Using cached toolz-0.12.0-py3-none-any.whl (55 kB) Installing collected packages: multipledispatch, websocket-client, toolz, tabulate, sqlparse, smmap, querystring-parser, pyyaml, MarkupSafe, markdown, itsdangerous, h5py, greenlet, future, fastprogress, dill, cloudpickle, click, cachetools, blinker, Werkzeug, sqlalchemy, Mako, logical-unification, Jinja2, h5netcdf, gunicorn, gitdb, docker, databricks-cli, autograd, xarray, lifetimes, gitpython, Flask, cons, alembic, xarray-einstats, mlflow, etuples, miniKanren, arviz, aesara, aeppl, pymc, btyd Attempting uninstall: MarkupSafe Found existing installation: MarkupSafe 2.0.1 Not uninstalling markupsafe at /databricks/python3/lib/python3.10/site-packages, outside environment /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332 Can't uninstall 'MarkupSafe'. No files were found to uninstall. Attempting uninstall: click Found existing installation: click 8.0.4 Not uninstalling click at /databricks/python3/lib/python3.10/site-packages, outside environment /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332 Can't uninstall 'click'. No files were found to uninstall. Attempting uninstall: blinker Found existing installation: blinker 1.4 Not uninstalling blinker at /usr/lib/python3/dist-packages, outside environment /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332 Can't uninstall 'blinker'. No files were found to uninstall. Attempting uninstall: Jinja2 Found existing installation: Jinja2 2.11.3 Not uninstalling jinja2 at /databricks/python3/lib/python3.10/site-packages, outside environment /local_disk0/.ephemeral_nfs/envs/pythonEnv-05addbad-3c99-4e84-aae8-6f682b6ae332 Can't uninstall 'Jinja2'. No files were found to uninstall. Successfully installed Flask-2.3.3 Jinja2-3.1.2 Mako-1.2.4 MarkupSafe-2.1.3 Werkzeug-3.0.0 aeppl-0.0.38 aesara-2.8.7 alembic-1.12.0 arviz-0.16.1 autograd-1.4 blinker-1.6.3 btyd-0.1a1 cachetools-5.3.1 click-8.1.7 cloudpickle-2.2.1 cons-0.4.6 databricks-cli-0.18.0 dill-0.3.5.1 docker-6.1.3 etuples-0.3.9 fastprogress-1.0.3 future-0.18.3 gitdb-4.0.10 gitpython-3.1.40 greenlet-3.0.0 gunicorn-21.2.0 h5netcdf-1.2.0 h5py-3.10.0 itsdangerous-2.1.2 lifetimes-0.11.3 logical-unification-0.4.6 markdown-3.5 miniKanren-1.0.3 mlflow-2.7.1 multipledispatch-1.0.0 pymc-4.4.0 pyyaml-6.0.1 querystring-parser-1.2.4 smmap-5.0.1 sqlalchemy-2.0.22 sqlparse-0.4.4 tabulate-0.9.0 toolz-0.12.0 websocket-client-1.6.4 xarray-2023.10.0 xarray-einstats-0.6.0 ```

Anything else we need to know?

I know I should create a contained env for my packages, but others who will use xarray, pymc, btyd, etc., in the future may run into this.

Environment

Not able to get because I can't import it :/