Correct Apartment Bedroom Counts

We want to query an API endpoint to receive data about currently available apartment listings from a rental website. Among the data fields is a column called num_bedrooms, which takes the value of 1 for a "1-bedroom" apartment and 0 for a "studio".

Note: This rental agency only works with studios and 1-bedroom apartments, so there will never be 2+ bedroom listings. Each listing includes information about a "studio" or a "1-bedroom" apartment, so there will never be a listing with both a "studio" and "1-bedroom" offerings in one posting.

The algorithm used occasionally mistags the num_bedrooms value. Specifically, sometimes a "studio" is tagged as having num_bedrooms = 1 or a "1-bedroom" is tagged as num_bedrooms = 0. Further investigation revealed it to be an issue with one of the data fields, description, and the way our algorithm parsed the field to extract a num_bedrooms value.

For example: "description": "Beautiful 1-bedroom apartment with nearby yoga studio." was detected as a yoga studio instead of 1-bedroom and incorrectly had num_bedrooms = 0.

Your task is to write a function that takes in the jsonData and corrects this problem. The GET request retrieves the data as a string which looks like this:

jsonData = [
  {
    "id": "3",
    "agent": "Ton Jett",
    "unit": "#12",
    "description": "Beautiful 1-bedroom apartment with nearby yoga studio.",
    "num_bedrooms": 1
  },
  ...
]

While correcting the problem, remember the following edge cases:

• If the word "studio" or "1-bedroom" is preceded immediately by any of the words: "yoga", "dance" or "art", don't consider it for num_bedrooms value.
• If the description does not contain the word "studio" or "1-bedroom", do not change the value for num_bedrooms.
• The rules above should be applied regardless of punctuation or letter casing within the description field.

Your end goal is to return an array of integers representing num_bedrooms for each rental listing, example: [0, 1, 1, 1, 0, 0].

The source labels the following case Example.

For

jsonData = "[{\"id\":\"1\",\"agent\":\"Radulf Katlego\",\"unit\":\"#3\",\"description\":\"This luxurious studio apartment is in the heart of downtown.\",\"num_bedrooms\":1},{\"id\":\"2\",\"agent\":\"Kelemen Konrad\",\"unit\":\"#36\",\"description\":\"We have a 1-bedroom available on the third floor.\",\"num_bedrooms\":1},{\"id\":\"3\",\"agent\":\"Ton Jett\",\"unit\":\"#12\",\"description\":\"Beautiful 1-bedroom apartment with nearby yoga studio.\",\"num_bedrooms\":1},{\"id\":\"4\",\"agent\":\"Fishel Salman\",\"unit\":\"#13\",\"description\":\"Beautiful studio with a nearby art studio.\",\"num_bedrooms\":1}]"

the output should be solution(jsonData) = [0, 1, 1, 0].

The above jsonData represents the following JSON:

[
  {
    "id": "1",
    "agent": "Radulf Katlego",
    "unit": "#3",
    "description": "This luxurious studio apartment is in the heart of downtown.",
    "num_bedrooms": 1
  },
  {
    "id": "2",
    "agent": "Kelemen Konrad",
    "unit": "#36",
    "description": "We have a 1-bedroom available on the third floor.",
    "num_bedrooms": 1
  },
  {
    "id": "3",
    "agent": "Ton Jett",
    "unit": "#12",
    "description": "Beautiful 1-bedroom apartment with nearby yoga studio.",
    "num_bedrooms": 1
  },
  {
    "id": "4",
    "agent": "Fishel Salman",
    "unit": "#13",
    "description": "Beautiful studio with a nearby art studio.",
    "num_bedrooms": 1
  }
]

FastPrep practice clarification

• The source's two explanation sentences using followed by are retained verbatim below. For judging, follow the explicit source rule: ignore a target occurrence when its immediately preceding word is yoga, dance, or art.
• Match the complete words studio and 1-bedroom case-insensitively. Punctuation separates words, so ART...studio has art as the immediately preceding word.
• Return corrected values in the same order as the listings in jsonData. If no non-ignored target occurs, retain that listing's original num_bedrooms.