test: remove combined test

Author: xmatthias

tests/strategy/test_strategy_parameters.py

@@ -15,97 +15,6 @@
 )
 
 
-def test_hyperopt_parameters():
-    HyperoptStateContainer.set_state(HyperoptState.INDICATORS)
-    from optuna.distributions import CategoricalDistribution, FloatDistribution, IntDistribution
-
-    from freqtrade.optimize.space import SKDecimal
-
-    with pytest.raises(OperationalException, match=r"Name is determined.*"):
-        IntParameter(low=0, high=5, default=1, name="hello")
-
-    with pytest.raises(OperationalException, match=r"IntParameter space must be.*"):
-        IntParameter(low=0, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"RealParameter space must be.*"):
-        RealParameter(low=0, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"DecimalParameter space must be.*"):
-        DecimalParameter(low=0, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"IntParameter space invalid\."):
-        IntParameter([0, 10], high=7, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"RealParameter space invalid\."):
-        RealParameter([0, 10], high=7, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"DecimalParameter space invalid\."):
-        DecimalParameter([0, 10], high=7, default=5, space="buy")
-
-    with pytest.raises(OperationalException, match=r"CategoricalParameter space must.*"):
-        CategoricalParameter(["aa"], default="aa", space="buy")
-
-    with pytest.raises(TypeError):
-        BaseParameter(opt_range=[0, 1], default=1, space="buy")
-
-    intpar = IntParameter(low=0, high=5, default=1, space="buy")
-    assert intpar.value == 1
-    assert isinstance(intpar.get_space(""), IntDistribution)
-    assert isinstance(intpar.range, range)
-    assert len(list(intpar.range)) == 1
-    # Range contains ONLY the default / value.
-    assert list(intpar.range) == [intpar.value]
-    intpar.in_space = True
-
-    assert len(list(intpar.range)) == 6
-    assert list(intpar.range) == [0, 1, 2, 3, 4, 5]
-
-    fltpar = RealParameter(low=0.0, high=5.5, default=1.0, space="buy")
-    assert fltpar.value == 1
-    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
-    assert isinstance(fltpar.get_space(""), SKDecimal)
-    assert isinstance(fltpar.range, list)
-    assert len(list(fltpar.range)) == 1
-    # Range contains ONLY the default / value.
-    assert list(fltpar.range) == [fltpar.value]
-    fltpar.in_space = True
-    assert len(list(fltpar.range)) == 6
-    assert list(fltpar.range) == [0.0, 0.1, 0.2, 0.3, 0.4, 0.5]
-
-    catpar = CategoricalParameter(
-        ["buy_rsi", "buy_macd", "buy_none"], default="buy_macd", space="buy"
-    )
-    assert catpar.value == "buy_macd"
-    assert isinstance(catpar.get_space(""), CategoricalDistribution)
-    assert isinstance(catpar.range, list)
-    assert len(list(catpar.range)) == 1
-    # Range contains ONLY the default / value.
-    assert list(catpar.range) == [catpar.value]
-    catpar.in_space = True
-    assert len(list(catpar.range)) == 3
-    assert list(catpar.range) == ["buy_rsi", "buy_macd", "buy_none"]
-
-    boolpar = BooleanParameter(default=True, space="buy")
-    assert boolpar.value is True
-    assert isinstance(boolpar.get_space(""), CategoricalDistribution)
-    assert isinstance(boolpar.range, list)
-    assert len(list(boolpar.range)) == 1
-
-    boolpar.in_space = True
-    assert len(list(boolpar.range)) == 2
-
-    assert list(boolpar.range) == [True, False]
-
-    HyperoptStateContainer.set_state(HyperoptState.OPTIMIZE)
-    assert len(list(intpar.range)) == 1
-    assert len(list(fltpar.range)) == 1
-    assert len(list(catpar.range)) == 1
-    assert len(list(boolpar.range)) == 1
-
-
 def test_hyperopt_int_parameter():
     from optuna.distributions import IntDistribution
 
@@ -150,8 +59,7 @@ def test_hyperopt_real_parameter():
     assert fltpar.value == 1.0
     assert isinstance(fltpar.get_space(""), FloatDistribution)
 
-    HyperoptStateContainer.set_state(HyperoptState.OPTIMIZE)
-    # assert len(list(fltpar.range)) == 1
+    assert not hasattr(fltpar, "range")
 
 
 def test_hyperopt_decimal_parameter():