typing: core algorithm and its imports #666
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boombard
commented
Nov 27, 2024
| @@ -56,7 +58,7 @@ def eval(self, | |||
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| # filter the index to have individual where not all attributes have been evaluated | |||
| if skip_already_evaluated: | |||
| I = [i for i, ind in enumerate(pop) if not all([e in ind.evaluated for e in evaluate_values_of])] | |||
| import numpy as np | ||
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| from pymoo.core.individual import Individual | ||
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| class Population(np.ndarray): | ||
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| def __new__(cls, individuals=[]): |
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Mutable defaults are generally bad, so thought it would be okay to change this
| if a is None: | ||
| return b | ||
| assert b is not None, "Merge requires at least on non-empty Individual" |
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Does this follow the intention here?
| @@ -25,7 +25,8 @@ def __init__(self, survival, problem=None) -> None: | |||
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| if problem is None: | |||
| from pymoo.core.problem import Problem | |||
| problem = Problem() | |||
| # TODO: this line is probably never evaluated. It would raise as Problem is ABC | |||
| @@ -63,36 +65,36 @@ def __init__( | |||
| in the ``Individual``. | |||
| """ | |||
| # set decision variable vector to None | |||
| self._X = None | |||
| self._X: np.ndarray | None = None | |||
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Is it necessary to assign None to these, or could they be empty as in reset below?
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Issue #665
mypy now passes when run on
core.algorithm. I tried to avoid changing anything substantial. The tests are passing to the same extent as inmain.Because I was avoiding changing anything too much, there are a lot of ignore statements (there's only so much one can do with annotations).