fix: duplicate generate_optimizer to have a non-delayed alternative

This commit is contained in:
Matthias
2025-05-03 09:19:50 +02:00
parent d9ed7e1fb2
commit 1013c32316
3 changed files with 6 additions and 7 deletions
+1 -1
View File
@@ -157,7 +157,7 @@ class Hyperopt:
log_queue, logging.INFO if self.config["verbosity"] < 1 else logging.DEBUG log_queue, logging.INFO if self.config["verbosity"] < 1 else logging.DEBUG
) )
return self.hyperopter.generate_optimizer(*args, **kwargs) return self.hyperopter.generate_optimizer_wrapped(*args, **kwargs)
# return parallel(delayed(wrap_non_picklable_objects(optimizer_wrapper))(v) for v in asked) # return parallel(delayed(wrap_non_picklable_objects(optimizer_wrapper))(v) for v in asked)
return parallel(optimizer_wrapper(v) for v in asked) return parallel(optimizer_wrapper(v) for v in asked)
@@ -237,9 +237,7 @@ class HyperOptimizer:
+ self.max_open_trades_space + self.max_open_trades_space
) )
def assign_params( def assign_params(self, params_dict: dict[str, Any], category: str) -> None:
self, params_dict: dict[str, Any], category: str
) -> None:
""" """
Assign hyperoptable parameters Assign hyperoptable parameters
""" """
@@ -250,6 +248,9 @@ class HyperOptimizer:
@delayed @delayed
@wrap_non_picklable_objects @wrap_non_picklable_objects
def generate_optimizer_wrapped(self, raw_params: dict[str, Any]) -> dict[str, Any]:
return self.generate_optimizer(raw_params)
def generate_optimizer(self, raw_params: dict[str, Any]) -> dict[str, Any]: def generate_optimizer(self, raw_params: dict[str, Any]) -> dict[str, Any]:
""" """
Used Optimize function. Used Optimize function.
+1 -3
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@@ -605,9 +605,7 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
hyperopt.hyperopter.min_date = dt_utc(2017, 12, 10) hyperopt.hyperopter.min_date = dt_utc(2017, 12, 10)
hyperopt.hyperopter.max_date = dt_utc(2017, 12, 13) hyperopt.hyperopter.max_date = dt_utc(2017, 12, 13)
hyperopt.hyperopter.init_spaces() hyperopt.hyperopter.init_spaces()
generate_optimizer_value = hyperopt.hyperopter.generate_optimizer._obj( generate_optimizer_value = hyperopt.hyperopter.generate_optimizer(optimizer_param)
hyperopt.hyperopter, raw_params=optimizer_param
)
assert generate_optimizer_value == response_expected assert generate_optimizer_value == response_expected