from pydantic.dataclasses import dataclass, Field
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@dataclass
class BaseSplitElement:
"""Dataclass with data params for experiment calculations
Args:
group_sizes (tuple): tuple with group sizes. Should have control group size on the 0 index position
and target group size on the 1 index position
split_number (int): params with number of split
"""
group_sizes: tuple
split_number: int
control_group_size: int = Field(init=False)
target_group_size: int = Field(init=False)
def __post_init__(self):
self.control_group_size = self.group_sizes[0]
self.target_group_size = self.group_sizes[1]
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@dataclass
class MdeAlphaExperiment(BaseSplitElement):
"""Dataclass for I type error calculations."""
metric_name: str = Field(init=False)
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@dataclass
class MdeBetaExperiment(MdeAlphaExperiment):
"""Dataclass for II type error calculations."""
inject: float = Field(init=False)