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changed np.nparray to np.typing.NDArray #4526
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Thanks, @sanjayh-2022! Could you instead the NumPy typing submodule separately using the import numpy.typing as npt
statement in addition to import np
and use npt.NDArray
here instead, like @Saransh-cpp has previously suggested?
src/pybamm/solvers/idaklu_jax.py
Outdated
inputs: Union[dict, None] = None, | ||
output_variables: Union[list[str], None] = None, | ||
): | ||
"""Helper function to compute the gradient of a jaxified expression | ||
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||
Returns a numeric (np.ndarray) object (not a JAX expression). | ||
Returns a numeric (np.typing.NDArray) object (not a JAX expression). |
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I think in comments we would probably want to keep it np.ndarray instead of the typing object. My understanding is that the np.typing module is just for type hints.
I have made the required changes. please review my changes and let me know if any changes are required |
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Thanks @sanjayh-2022, I'd once again have to request changes as you've to also be careful about the order of imports in a file. It'd be nicer to import numpy.typing as npt
not on the top of the file but the line after import numpy as np
You can fix the pre-commit CI and the style failures by installing In particular, the following lines: pip install pre-commit
pre-commit install will run the style checks before any code is committed, and will hence prevent you from pushing code that fails these style checks. |
i have added import numpy.typing as npt after import numpy as np. Please review the changes |
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Thanks, @sanjayh-2022! Please see my comments below.
@@ -74,7 +76,7 @@ def __init__( | |||
self.input_duration = duration | |||
self.input_value = value | |||
# Check if drive cycle | |||
is_drive_cycle = isinstance(value, np.ndarray) | |||
is_drive_cycle = isinstance(value, npt.NDArray) |
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This should not be changed as we are checking if value
is an instance of np.ndarray
. We could have changed it if we were checking the type of the value
, but we don't want that.
@@ -1012,7 +1014,7 @@ def check_initial_conditions(self, model): | |||
# Individual | |||
for var, eqn in model.initial_conditions.items(): | |||
ic_eval = eqn.evaluate(t=0, inputs="shape test") | |||
if not isinstance(ic_eval, np.ndarray): | |||
if not isinstance(ic_eval, npt.NDArray): |
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Ditto
@@ -260,7 +262,7 @@ def default_duration(self, value): | |||
Default duration for the step is one day (24 hours) or the duration of the | |||
drive cycle | |||
""" | |||
if isinstance(value, np.ndarray): | |||
if isinstance(value, npt.NDArray): |
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Ditto
@@ -165,7 +167,7 @@ def to_json(self): | |||
Method to serialise an Array object into JSON. | |||
""" | |||
|
|||
if isinstance(self.entries, np.ndarray): | |||
if isinstance(self.entries, npt.NDArray): |
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Ditto
@@ -22,13 +24,13 @@ def _preprocess_binary( | |||
) -> tuple[pybamm.Symbol, pybamm.Symbol]: | |||
if isinstance(left, (float, int, np.number)): | |||
left = pybamm.Scalar(left) | |||
elif isinstance(left, np.ndarray): | |||
elif isinstance(left, npt.NDArray): |
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For all isinstance
calls basically
import numpy as np | ||
import numpy.typing as npt | ||
|
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numpy
imports should not be at the top of the file. The order should be -
- module-level comment/docstring
from __future__ import annotations
- All other imports
This will fix the failing style check (which you can also run locally using instructions provided above).
Description
Please include a summary of the change and which issue is fixed. Please also include relevant motivation and context. List any dependencies that are required for this change.
Fixes #4512
Type of change
Please add a line in the relevant section of CHANGELOG.md to document the change (include PR #) - note reverse order of PR #s. If necessary, also add to the list of breaking changes.
Key checklist:
$ pre-commit run
(or$ nox -s pre-commit
) (see CONTRIBUTING.md for how to set this up to run automatically when committing locally, in just two lines of code)$ python run-tests.py --all
(or$ nox -s tests
)$ python run-tests.py --doctest
(or$ nox -s doctests
)You can run integration tests, unit tests, and doctests together at once, using
$ python run-tests.py --quick
(or$ nox -s quick
).Further checks: