Add one more synthetic env

lib/datasets/synthetic_example.py

@@ -3,11 +3,20 @@
 #####################################################
 import copy
 
-from .math_dynamic_funcs import DynamicQuadraticFunc
+from .math_dynamic_funcs import DynamicLinearFunc, DynamicQuadraticFunc
 from .math_adv_funcs import ConstantFunc, ComposedSinFunc
 from .synthetic_env import SyntheticDEnv
 
 
+def create_example(timestamp_config=None, num_per_task=5000, indicator="v1"):
+    if indicator == "v1":
+        return create_example_v1(timestamp_config, num_per_task)
+    elif indicator == "v2":
+        return create_example_v2(timestamp_config, num_per_task)
+    else:
+        raise ValueError("Unkonwn indicator: {:}".format(indicator))
+
+
 def create_example_v1(
     timestamp_config=None,
     num_per_task=5000,
@@ -35,3 +44,29 @@ def create_example_v1(
 
     dynamic_env.set_oracle_map(copy.deepcopy(function))
     return dynamic_env, function
+
+
+def create_example_v2(
+    timestamp_config=None,
+    num_per_task=5000,
+):
+    mean_generator = ConstantFunc(0)
+    std_generator = ConstantFunc(1)
+
+    dynamic_env = SyntheticDEnv(
+        [mean_generator],
+        [[std_generator]],
+        num_per_task=num_per_task,
+        timestamp_config=timestamp_config,
+    )
+
+    function = DynamicLinearFunc()
+    function_param = dict()
+    function_param[0] = ComposedSinFunc(
+        amplitude_scale=ConstantFunc(1.0), period_phase_shift=ConstantFunc(1.0)
+    )
+    function_param[1] = ConstantFunc(constant=0.9)
+    function.set(function_param)
+
+    dynamic_env.set_oracle_map(copy.deepcopy(function))
+    return dynamic_env, function