ValueError related to numpy.dtype size change in spaCy course environment

[r4plh]

While running the code in the course always getting some ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject , it's coming everytime when the exercise is related to code (not MCQ or any-other)

To see the actual error , just go to any exercise which involve coding , for example one of the way to reproduce the error -

Navigate to the spaCy Advanced NLP course section on "Loading Pipelines." (chapter 1 , 7th section named - Loading Pipeline )
Click on show solution and it will autofill the code correctly , it's not a big issue coz the correct solution is still visible but it would be good if code runs smooth , for better user and learning experience.

Run the correct code.

Full Error :

ValueError Traceback (most recent call last)
Cell In[1], line 28
14 msg = msg
15 solution = blacken("""import spacy
16
17 # Load the "en_core_web_sm" pipeline
(...)
25 # Print the document text
26 print(.)""")
---> 28 import spacy
30 # Load the "en_core_web_sm" pipeline
31 nlp = ____

File /srv/conda/envs/notebook/lib/python3.10/site-packages/spacy/init.py:11
8 setup_default_warnings() # noqa: E402
10 # These are imported as part of the API
---> 11 from thinc.api import prefer_gpu, require_gpu, require_cpu # noqa: F401
12 from thinc.api import Config
14 from . import pipeline # noqa: F401

File /srv/conda/envs/notebook/lib/python3.10/site-packages/thinc/api.py:2
1 from .config import Config, registry, ConfigValidationError
----> 2 from .initializers import normal_init, uniform_init, glorot_uniform_init, zero_init
3 from .initializers import configure_normal_init
4 from .loss import CategoricalCrossentropy, L2Distance, CosineDistance

File /srv/conda/envs/notebook/lib/python3.10/site-packages/thinc/initializers.py:4
1 from typing import Callable, cast
2 import numpy
----> 4 from .backends import Ops
5 from .config import registry
6 from .types import FloatsXd, Shape

File /srv/conda/envs/notebook/lib/python3.10/site-packages/thinc/backends/init.py:8
5 import threading
7 from .ops import Ops
----> 8 from .cupy_ops import CupyOps, has_cupy
9 from .numpy_ops import NumpyOps
10 from ._cupy_allocators import cupy_tensorflow_allocator, cupy_pytorch_allocator

File /srv/conda/envs/notebook/lib/python3.10/site-packages/thinc/backends/cupy_ops.py:19
17 from .. import registry
18 from .ops import Ops
---> 19 from .numpy_ops import NumpyOps
20 from . import _custom_kernels
21 from ..types import DeviceTypes

File /srv/conda/envs/notebook/lib/python3.10/site-packages/thinc/backends/numpy_ops.pyx:1, in init thinc.backends.numpy_ops()

ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject

[r4plh]

It's actually coming across all 4 chapters , for chapter 3 and 4 it would be good if this internal compiler of spacy gets fix , coz there are indeed some complex code exercise. @maintainers @ines