Remove nptyping dependency to assure numpy 2 compatability

[cmacdonald]

No description provided.

[cmacdonald]

ile /opt/miniconda3/envs/genir/lib/python3.9/site-packages/pyterrier/apply.py:3
1 from typing import Callable, Any, Dict, Union, Sequence
2 from .apply_base import ApplyDocumentScoringTransformer, ApplyQueryTransformer, ApplyDocFeatureTransformer, ApplyForEachQuery, ApplyGenericTransformer, Transformer
----> 3 from nptyping import NDArray
4 import pandas as pd
6 def _bind(instance, func, as_name=None):

File /opt/miniconda3/envs/genir/lib/python3.9/site-packages/nptyping/init.py:2
1 from nptyping._meta import version
----> 2 from nptyping.functions._get_type import get_type
3 from nptyping.functions._py_type import py_type
4 from nptyping.types._bool import Bool

File /opt/miniconda3/envs/genir/lib/python3.9/site-packages/nptyping/functions/_get_type.py:29
27 from nptyping.types._subarray_type import SubArrayType, is_subarray_type
28 from nptyping.types._timedelta64 import Timedelta64
---> 29 from nptyping.types._unicode import Unicode
32 def get_type(obj: Any) -> Type['NPType']:
33 """
34 Return the nptyping type of the given obj. The given obj can be a numpy
35 ndarray, a dtype or a Python type. If no corresponding nptyping type
(...)
38 :return: a subclass of NPType.
39 """

File /opt/miniconda3/envs/genir/lib/python3.9/site-packages/nptyping/types/_unicode.py:30
26 return cls.chars is Any or subclass.chars <= cls.chars
27 return False
---> 30 class Unicode(NPType, np.compat.unicode, metaclass=_UnicodeMeta):
31 """
32 A numpy unicode. Can be given the number of characters optionally.
33
34 >>> Unicode[50]
35 Unicode[50]
36 """
37 chars = Any

File /opt/miniconda3/envs/genir/lib/python3.9/site-packages/numpy/init.py:397, in getattr(attr)
394 raise AttributeError(former_attrs[attr])
396 if attr in expired_attributes:
--> 397 raise AttributeError(
398 f"np.{attr} was removed in the NumPy 2.0 release. "
399 f"{expired_attributes[attr]}"
400 )
402 if attr == "chararray":
403 warnings.warn(
404 "np.chararray is deprecated and will be removed from "
405 "the main namespace in the future. Use an array with a string "
406 "or bytes dtype instead.", DeprecationWarning, stacklevel=2)

AttributeError: np.compat was removed in the NumPy 2.0 release. There's no replacement, as Python 2 is no longer supported.

[seanmacavaney]

I vote we drop the dependency. We only use it here

pyterrier/pyterrier/apply.py

Line 91 in a17f9b7

def doc_features(fn : Callable[[pd.Series], NDArray[Any]], *args, **kwargs) -> Transformer:

and we can just use np.array hint instead in that spot.