class_docstr: Class to be used within a FlaskRESTApiWrapper to convert input json to actual data (e.g.: arrays)
class_docstr_tok: ["Class","to","be","used","within","a","FlaskRESTApiWrapper","to","convert","input","json","to","actual","data","(","e.g",".",":","arrays",")"]
docstr: Will convert data_inputs to a dict or a compatible data structure for jsonification
  
  :param encoded data_inputs (dict parsed from json):
  :return: data_inputs (as a data structure compatible with pipeline's data inputs)
docstr_tok: ["Will","convert","data_inputs","to","a","dict","or","a","compatible","data","structure","for","jsonification",":","param","encoded","data_inputs","(","dict","parsed","from","json",")",":",":","return",":","data_inputs","(","as","a","data","structure","compatible","with","pipeline","'s","data","inputs",")"]
code: def decode(self, data_inputs: dict):
      """
      Will convert data_inputs to a dict or a compatible data structure for jsonification
  
      :param encoded data_inputs (dict parsed from json):
      :return: data_inputs (as a data structure compatible with pipeline's data inputs)
      """
      raise NotImplementedError(
          "TODO: inherit from the `JSONDataBodyDecoder` class and implement this method."
      )
  
file_path: Neuraxle/neuraxle/rest/flask.py
imports: from abc import ABC, abstractmethod
  import numpy
  from flask import Response
  from neuraxle.base import BaseStep
  from neuraxle.pipeline import Pipeline
label_desc: Use image node_id 2 for calling the JSONDataBodyDecoder obj's underlying member method code with example usage: obj.decode(data_inputs) without return types