change from skopt.space.Real to optuna.distributions.FloatDistribution

tests/optimize/test_hyperopt.py

@@ -7,7 +7,6 @@ from unittest.mock import ANY, MagicMock, PropertyMock
 import pandas as pd
 import pytest
 from filelock import Timeout
-from skopt.space import Integer
 
 from freqtrade.commands.optimize_commands import setup_optimize_configuration, start_hyperopt
 from freqtrade.data.history import load_data
@@ -19,6 +18,9 @@ from freqtrade.optimize.hyperopt_tools import HyperoptTools
 from freqtrade.optimize.optimize_reports import generate_strategy_stats
 from freqtrade.optimize.space import SKDecimal
 from freqtrade.strategy import IntParameter
+
+# from skopt.space import Integer
+from freqtrade.strategy.parameters import ft_IntDistribution
 from freqtrade.util import dt_utc
 from tests.conftest import (
     CURRENT_TEST_STRATEGY,
@@ -1304,7 +1306,8 @@ def test_max_open_trades_consistency(mocker, hyperopt_conf, tmp_path, fee) -> No
     assert isinstance(hyperopt.hyperopter.custom_hyperopt, HyperOptAuto)
 
     hyperopt.hyperopter.custom_hyperopt.max_open_trades_space = lambda: [
-        Integer(1, 10, name="max_open_trades")
+        # Integer(1, 10, name="max_open_trades")
+        ft_IntDistribution("max_open_trades", 1, 10)
     ]
 
     first_time_evaluated = False

tests/strategy/test_interface.py

@@ -895,8 +895,7 @@ def test_is_informative_pairs_callback(default_conf):
 
 def test_hyperopt_parameters():
     HyperoptStateContainer.set_state(HyperoptState.INDICATORS)
-    from optuna.distributions import CategoricalDistribution, IntDistribution
-    from skopt.space import Real
+    from optuna.distributions import CategoricalDistribution, FloatDistribution, IntDistribution
 
     with pytest.raises(OperationalException, match=r"Name is determined.*"):
         IntParameter(low=0, high=5, default=1, name="hello")
@@ -939,7 +938,7 @@ def test_hyperopt_parameters():
 
     fltpar = RealParameter(low=0.0, high=5.5, default=1.0, space="buy")
     assert fltpar.value == 1
-    assert isinstance(fltpar.get_space(""), Real)
+    assert isinstance(fltpar.get_space(""), FloatDistribution)
 
     fltpar = DecimalParameter(low=0.0, high=0.5, default=0.14, decimals=1, space="buy")
     assert fltpar.value == 0.1