Revert "Add explicit tests for quantized values with llamatune"

This reverts commit ef06e8c.

mlos_core/mlos_core/tests/spaces/adapters/llamatune_test.py

@@ -15,16 +15,9 @@
 from mlos_core.spaces.adapters import LlamaTuneAdapter
 
 
-# Explicitly test quantized values with llamatune space adapter.
-# TODO: Add log scale sampling tests as well.
-
-
-def construct_parameter_space( # pylint: disable=too-many-arguments
- *,
+def construct_parameter_space(
  n_continuous_params: int = 0,
- n_quantized_continuous_params: int = 0,
  n_integer_params: int = 0,
- n_quantized_integer_params: int = 0,
  n_categorical_params: int = 0,
  seed: int = 1234,
 ) -> CS.ConfigurationSpace:
@@ -35,18 +28,10 @@ def construct_parameter_space( # pylint: disable=too-many-arguments
  input_space.add_hyperparameter(
  CS.UniformFloatHyperparameter(name=f"cont_{idx}", lower=0, upper=64)
  )
- for idx in range(n_quantized_continuous_params):
- input_space.add_hyperparameter(
- CS.UniformFloatHyperparameter(name=f"cont_{idx}", lower=0, upper=64, q=12.8)
- )
  for idx in range(n_integer_params):
  input_space.add_hyperparameter(
  CS.UniformIntegerHyperparameter(name=f"int_{idx}", lower=-1, upper=256)
  )
- for idx in range(n_quantized_integer_params):
- input_space.add_hyperparameter(
- CS.UniformIntegerHyperparameter(name=f"int_{idx}", lower=0, upper=256, q=16)
- )
  for idx in range(n_categorical_params):
  input_space.add_hyperparameter(
  CS.CategoricalHyperparameter(
@@ -68,13 +53,6 @@ def construct_parameter_space( # pylint: disable=too-many-arguments
  {"n_continuous_params": int(num_target_space_dims * num_orig_space_factor)},
  {"n_integer_params": int(num_target_space_dims * num_orig_space_factor)},
  {"n_categorical_params": int(num_target_space_dims * num_orig_space_factor)},
- {"n_categorical_params": int(num_target_space_dims * num_orig_space_factor)},
- {"n_quantized_integer_params": int(num_target_space_dims * num_orig_space_factor)},
- {
- "n_quantized_continuous_params": int(
- num_target_space_dims * num_orig_space_factor
- )
- },
  # Mix of all three types
  {
  "n_continuous_params": int(num_target_space_dims * num_orig_space_factor / 3),
@@ -396,12 +374,6 @@ def test_max_unique_values_per_param() -> None:
  {"n_continuous_params": int(num_target_space_dims * num_orig_space_factor)},
  {"n_integer_params": int(num_target_space_dims * num_orig_space_factor)},
  {"n_categorical_params": int(num_target_space_dims * num_orig_space_factor)},
- {"n_quantized_integer_params": int(num_target_space_dims * num_orig_space_factor)},
- {
- "n_quantized_continuous_params": int(
- num_target_space_dims * num_orig_space_factor
- )
- },
  # Mix of all three types
  {
  "n_continuous_params": int(num_target_space_dims * num_orig_space_factor / 3),