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"""Serialization.

@see: https://www.learnpython.org/en/Serialization

Python provides built-in JSON libraries to encode and decode JSON.

"""

import json

def test_json():

"""JSON serialization."""

# There are two basic formats for JSON data. Either in a string or the object data-structure.

# The object data-structure, in Python, consists of lists and dictionaries nested inside each

# other. The object data-structure allows one to use python methods (for lists and dictionaries)

# to add, list, search and remove elements from the data-structure. The String format is mainly

# used to pass the data into another program or load into a data-structure.

person_dictionary = {'first_name': 'John', 'last_name': 'Smith', 'age': 42}

assert person_dictionary['first_name'] == 'John'

assert person_dictionary['age'] == 42

json_string = '{"first_name": "John", "last_name": "Smith", "age": 42}'

# To load JSON back to a data structure, use the "loads" method. This method takes a string

# and turns it back into the json object data-structure:

person_parsed_dictionary = json.loads(json_string)

assert person_parsed_dictionary == person_dictionary

assert person_parsed_dictionary['first_name'] == 'John'

assert person_parsed_dictionary['age'] == 42

# To encode a data structure to JSON, use the "dumps" method. This method takes an object and

# returns a String:

encoded_person_string = json.dumps(person_dictionary)

assert encoded_person_string == json_string