Challenge 1: Round-Trip a Dict Through JSON — Possible Solution
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import json

product = {"name": "Widget", "price": 9.99, "in_stock": True}

json_string = json.dumps(product)
print(json_string)

restored = json.loads(json_string)
print(restored)

print(product == restored)

Output:
{"name": "Widget", "price": 9.99, "in_stock": true}
{'name': 'Widget', 'price': 9.99, 'in_stock': True}
True

WHY THIS WORKS AS AN ANSWER
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json.dumps(product) reuses the chapter's own dumps() example exactly
— converting the Python dict into a JSON-formatted string. Note that
in_stock's Python True becomes JSON's lowercase true in the printed
string, matching the chapter's own type-mapping table (True/False <->
true/false).

json.loads(json_string) reuses the chapter's own loads() call to parse
that JSON string back into a fresh Python dict — restored is a
completely new dict object, built entirely from the string, with no
direct connection to the original product dict in memory.

product == restored reuses plain dict equality comparison (dicts
compare equal when they have the same keys and values, regardless of
object identity) to confirm the round trip was lossless: the string
"Widget", the float 9.99, and the boolean True all survived being
converted to JSON and back exactly as they started, which is why the
comparison prints True — nothing was silently changed or lost in the
dumps()-then-loads() round trip.