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Change array reg warning
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bayes_opt/bayesian_optimization.py

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -224,10 +224,10 @@ def register(
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# TODO: remove in future version
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if isinstance(params, np.ndarray) and not self._sorting_warning_already_shown:
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msg = (
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"You're attempting to register an np.ndarray. Currently, the optimizer internally sorts"
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" parameters by key and expects any registered array to respect this order. In future"
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" versions this behaviour will change and the order as given by the pbounds dictionary"
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" will be used. If you wish to retain sorted parameters, please manually sort your pbounds"
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"You're attempting to register an np.ndarray. In previous versions, the optimizer internally"
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" sorted parameters by key and expected any registered array to respect this order."
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" In the current and any future version the order as given by the pbounds dictionary will be"
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" used. If you wish to retain sorted parameters, please manually sort your pbounds"
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" dictionary before constructing the optimizer."
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)
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warn(msg, stacklevel=1)
@@ -252,10 +252,10 @@ def probe(self, params: ParamsType, lazy: bool = True) -> None:
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# TODO: remove in future version
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if isinstance(params, np.ndarray) and not self._sorting_warning_already_shown:
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msg = (
255-
"You're attempting to register an np.ndarray. Currently, the optimizer internally sorts"
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" parameters by key and expects any registered array to respect this order. In future"
257-
" versions this behaviour will change and the order as given by the pbounds dictionary"
258-
" will be used. If you wish to retain sorted parameters, please manually sort your pbounds"
255+
"You're attempting to register an np.ndarray. In previous versions, the optimizer internally"
256+
" sorted parameters by key and expected any registered array to respect this order."
257+
" In the current and any future version the order as given by the pbounds dictionary will be"
258+
" used. If you wish to retain sorted parameters, please manually sort your pbounds"
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" dictionary before constructing the optimizer."
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)
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warn(msg, stacklevel=1)

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