56 lines
2.0 KiB
Python
56 lines
2.0 KiB
Python
import math
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from .synthetic_utils import TimeStamp
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from .synthetic_env import SyntheticDEnv
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from .math_core import LinearFunc
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from .math_core import DynamicLinearFunc
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from .math_core import DynamicQuadraticFunc
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from .math_core import ConstantFunc, ComposedSinFunc as SinFunc
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from .math_core import GaussianDGenerator
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__all__ = ["TimeStamp", "SyntheticDEnv", "get_synthetic_env"]
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def get_synthetic_env(total_timestamp=1600, num_per_task=1000, mode=None, version="v1"):
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max_time = math.pi * 10
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if version == "v1":
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mean_generator = ConstantFunc(0)
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std_generator = ConstantFunc(1)
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data_generator = GaussianDGenerator(
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[mean_generator], [[std_generator]], (-2, 2)
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)
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time_generator = TimeStamp(
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min_timestamp=0, max_timestamp=max_time, num=total_timestamp, mode=mode
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)
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oracle_map = DynamicLinearFunc(
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params={
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0: SinFunc(params={0: 2.0, 1: 1.0, 2: 2.2}), # 2 sin(t) + 2.2
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1: SinFunc(params={0: 1.5, 1: 0.6, 2: 1.8}), # 1.5 sin(0.6t) + 1.8
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}
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)
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dynamic_env = SyntheticDEnv(
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data_generator, oracle_map, time_generator, num_per_task
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)
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elif version == "v2":
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mean_generator = ConstantFunc(0)
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std_generator = ConstantFunc(1)
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data_generator = GaussianDGenerator(
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[mean_generator], [[std_generator]], (-2, 2)
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)
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time_generator = TimeStamp(
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min_timestamp=0, max_timestamp=max_time, num=total_timestamp, mode=mode
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)
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oracle_map = DynamicQuadraticFunc(
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params={
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0: LinearFunc(params={0: 0.1, 1: 0}), # 0.1 * t
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1: SinFunc(params={0: 1, 1: 1, 2: 0}), # sin(t)
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2: ConstantFunc(0),
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}
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)
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dynamic_env = SyntheticDEnv(
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data_generator, oracle_map, time_generator, num_per_task
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)
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else:
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raise ValueError("Unknown version: {:}".format(version))
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return dynamic_env
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