Issue w/ new rollout? 'numpy._DTypeMeta' object is not subscriptable

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

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

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)
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Requirement already satisfied: psutil<6.0.0,>=5.8.0 in /databricks/python3/lib/python3.10/site-packages (from btyd) (5.9.0)
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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 :/

pydata / xarray