from typing import List, Dict, Any
from csle_base.json_serializable import JSONSerializable
[docs]class MCMCPosterior(JSONSerializable):
"""
A DTO representing a posterior obtained through MCMC
"""
def __init__(self, posterior_name: str, samples: List[float], densities: List[float],
sample_space: List[float]) -> None:
"""
Initializes the DTO
:param posterior_name: the name of the posterior
:param samples: samples from the posterior
:param densities: densities from the posterior
:param sample_space: the set of unique values (sample space)
"""
self.posterior_name = posterior_name
self.samples = samples
self.densities = densities
self.sample_space = sample_space
[docs] @staticmethod
def from_dict(d: Dict[str, Any]) -> "MCMCPosterior":
"""
Converts a dict representation of the DTO into an instance
:param d: the dict to convert
:return: the converted instance
"""
return MCMCPosterior(posterior_name=d["posterior_name"], samples=d["samples"], densities=d["densities"],
sample_space=d["sample_space"])
[docs] def to_dict(self) -> Dict[str, Any]:
"""
:return: a dict representation of the DTO
"""
d: Dict[str, Any] = {}
d["posterior_name"] = self.posterior_name
d["samples"] = self.samples
d["densities"] = self.densities
d["sample_space"] = self.sample_space
return d
def __str__(self) -> str:
"""
:return: a string representation of the DTO
"""
return f"posterior_name:{self.posterior_name}, samples: {self.samples}, densities: {self.densities}, " \
f"sample_space: {self.sample_space}"
[docs] @staticmethod
def from_json_file(json_file_path: str) -> "MCMCPosterior":
"""
Reads a json file and converts it to a DTO
:param json_file_path: the json file path
:return: the converted DTO
"""
import io
import json
with io.open(json_file_path, 'r') as f:
json_str = f.read()
return MCMCPosterior.from_dict(json.loads(json_str))