TypeError when importing imageio

I get the following traceback when importing imageio. It’s my first time using it, so I’m not 100% sure of version compatibilities.

----> 1 import imageio as iio

File ~/miniforge3/lib/python3.9/site-packages/imageio/__init__.py:24, in <module>
     21 import warnings
     23 # Load some bits from core
---> 24 from .core import FormatManager, RETURN_BYTES
     26 # Instantiate the old format manager
     27 formats = FormatManager()

File ~/miniforge3/lib/python3.9/site-packages/imageio/core/__init__.py:16, in <module>
     14 from .fetching import get_remote_file, InternetNotAllowedError, NeedDownloadError
     15 from .request import Request, read_n_bytes, RETURN_BYTES
---> 16 from .format import Format, FormatManager

File ~/miniforge3/lib/python3.9/site-packages/imageio/core/format.py:40, in <module>
     38 from . import Array, asarray
     39 from .request import ImageMode
---> 40 from ..config import known_plugins, known_extensions, PluginConfig, FileExtension
     41 from ..config.plugins import _original_order
     42 from .imopen import imopen

File ~/miniforge3/lib/python3.9/site-packages/imageio/config/__init__.py:7, in <module>
      1 from .extensions import (
      2     extension_list,
      3     known_extensions,
      4     FileExtension,
      5     video_extensions,
      6 )
----> 7 from .plugins import known_plugins, PluginConfig
      9 __all__ = [
     10     "known_plugins",
     11     "PluginConfig",
   (...)
     15     "video_extensions",
     16 ]

File ~/miniforge3/lib/python3.9/site-packages/imageio/config/plugins.py:3, in <module>
      1 import importlib
----> 3 from ..core.legacy_plugin_wrapper import LegacyPlugin
      6 class PluginConfig:
      7     """Plugin Configuration Metadata
      8 
      9     This class holds the information needed to lazy-import plugins.
   (...)
     50 
     51     """

File ~/miniforge3/lib/python3.9/site-packages/imageio/core/legacy_plugin_wrapper.py:5, in <module>
      2 from pathlib import Path
      4 from .request import IOMode, InitializationError
----> 5 from .v3_plugin_api import PluginV3, ImageProperties
      8 def _legacy_default_index(format):
      9     if format._name == "FFMPEG":

File ~/miniforge3/lib/python3.9/site-packages/imageio/core/v3_plugin_api.py:2, in <module>
      1 from . import Request
----> 2 from ..typing import ArrayLike
      3 import numpy as np
      4 from typing import Optional, Dict, Any, Tuple, Union, List, Iterator

File ~/miniforge3/lib/python3.9/site-packages/imageio/typing.py:6, in <module>
      3 from pathlib import Path
      5 try:
----> 6     from numpy.typing import ArrayLike
      7 except ImportError:
      8     # numpy<1.20 fall back to using ndarray
      9     from numpy import ndarray as ArrayLike

File ~/miniforge3/lib/python3.9/site-packages/numpy/typing/__init__.py:324, in <module>
    311 from ._scalars import (
    312     _CharLike_co,
    313     _BoolLike_co,
   (...)
    321     _VoidLike_co,
    322 )
    323 from ._shape import _Shape, _ShapeLike
--> 324 from ._dtype_like import (
    325     DTypeLike as DTypeLike,
    326     _SupportsDType,
    327     _VoidDTypeLike,
    328     _DTypeLikeBool,
    329     _DTypeLikeUInt,
    330     _DTypeLikeInt,
    331     _DTypeLikeFloat,
    332     _DTypeLikeComplex,
    333     _DTypeLikeTD64,
    334     _DTypeLikeDT64,
    335     _DTypeLikeObject,
    336     _DTypeLikeVoid,
    337     _DTypeLikeStr,
    338     _DTypeLikeBytes,
    339     _DTypeLikeComplex_co,
    340 )
    341 from ._array_like import (
    342     ArrayLike as ArrayLike,
    343     _ArrayLike,
   (...)
    358     _ArrayLikeBytes_co,
    359 )
    360 from ._generic_alias import (
    361     NDArray as NDArray,
    362     _DType,
    363     _GenericAlias,
    364 )

File ~/miniforge3/lib/python3.9/site-packages/numpy/typing/_dtype_like.py:16, in <module>
     13 import numpy as np
     15 from ._shape import _ShapeLike
---> 16 from ._generic_alias import _DType as DType
     18 from ._char_codes import (
     19     _BoolCodes,
     20     _UInt8Codes,
   (...)
     57     _ObjectCodes,
     58 )
     60 _DTypeLikeNested = Any  # TODO: wait for support for recursive types

File ~/miniforge3/lib/python3.9/site-packages/numpy/typing/_generic_alias.py:211, in <module>
    208 ScalarType = TypeVar("ScalarType", bound=np.generic, covariant=True)
    210 if TYPE_CHECKING or sys.version_info >= (3, 9):
--> 211     _DType = np.dtype[ScalarType]
    212     NDArray = np.ndarray[Any, np.dtype[ScalarType]]
    213 else:

TypeError: 'type' object is not subscriptable

[FirefoxMetzger]

Also, after fixing the versions, when I checked for numpy.typing.ArrayLike I now get this:

Yes, that is expected. The typing module was introduced in numpy 1.20, so if you are using an earlier version of numpy (1.19.5) then you simply won’t have it.

For ImageIO this is not a problem (we have a fallback for that case), so you should be good to go 😃

Since that solves the problem, I will go ahead and close this issue. If there is more on this topic, please comment and I can reopen. Also, feel free to let us know if you find any bugs or have suggestions for improvement.

[marcelrubio]

The numpy version is >=1.20.0 so you should have numpy.typing.ArrayLike. Do you have the latest patch version of python 3.9 installed, ie python 3.9.12?

Yes, 3.9.12.

Hm. This doesn’t ring a bell for me. Would you mind sharing the full exception that you get?

----> 1 from numpy.typing import ArrayLike

File ~/miniforge3/lib/python3.9/site-packages/numpy/typing/__init__.py:324, in <module>
    311 from ._scalars import (
    312     _CharLike_co,
    313     _BoolLike_co,
   (...)
    321     _VoidLike_co,
    322 )
    323 from ._shape import _Shape, _ShapeLike
--> 324 from ._dtype_like import (
    325     DTypeLike as DTypeLike,
    326     _SupportsDType,
    327     _VoidDTypeLike,
    328     _DTypeLikeBool,
    329     _DTypeLikeUInt,
    330     _DTypeLikeInt,
    331     _DTypeLikeFloat,
    332     _DTypeLikeComplex,
    333     _DTypeLikeTD64,
    334     _DTypeLikeDT64,
    335     _DTypeLikeObject,
    336     _DTypeLikeVoid,
    337     _DTypeLikeStr,
    338     _DTypeLikeBytes,
    339     _DTypeLikeComplex_co,
    340 )
    341 from ._array_like import (
    342     ArrayLike as ArrayLike,
    343     _ArrayLike,
   (...)
    358     _ArrayLikeBytes_co,
    359 )
    360 from ._generic_alias import (
    361     NDArray as NDArray,
    362     _DType,
    363     _GenericAlias,
    364 )

File ~/miniforge3/lib/python3.9/site-packages/numpy/typing/_dtype_like.py:16, in <module>
     13 import numpy as np
     15 from ._shape import _ShapeLike
---> 16 from ._generic_alias import _DType as DType
     18 from ._char_codes import (
     19     _BoolCodes,
     20     _UInt8Codes,
   (...)
     57     _ObjectCodes,
     58 )
     60 _DTypeLikeNested = Any  # TODO: wait for support for recursive types

File ~/miniforge3/lib/python3.9/site-packages/numpy/typing/_generic_alias.py:211, in <module>
    208 ScalarType = TypeVar("ScalarType", bound=np.generic, covariant=True)
    210 if TYPE_CHECKING or sys.version_info >= (3, 9):
--> 211     _DType = np.dtype[ScalarType]
    212     NDArray = np.ndarray[Any, np.dtype[ScalarType]]
    213 else:

TypeError: 'type' object is not subscriptable

Yes, for conda it is best practice to stay within conda and not use packages from outside the virtual environment.

So not sure what was the issue, I guess at some point I had numpy installed through pip in that env? And when I uninstalled it with pip and tried to install it through conda it read #All requested packages already installed. Then I checked for a conda list numpy and there it was in version 1.19.5 in the conda-forge channel all along! (I thought that packages in the conda-forge channel were superseded because of higher priority(?)).

Also, after fixing the versions, when I checked for numpy.typing.ArrayLike I now get this:

----> 1 from numpy.typing import ArrayLike

ModuleNotFoundError: No module named 'numpy.typing'

Either way, imageio is now being imported correctly 😃 Thank you for your time @FirefoxMetzger !