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].
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
}
]
Explanation:
In the first listing, description = "This luxurious studio apartment is in the heart of downtown."
"studio" should have num_bedrooms = 0;
In the second listing, description = "We have a 1-bedroom available on the third floor."
"1-bedroom" should have num_bedrooms = 1;
In the third listing, description = "Beautiful 1-bedroom apartment with nearby yoga studio."
"1-bedroom" should have num_bedrooms = 1. Ignore "studio" since it is followed by "yoga".
In the fourth listing, description = "Beautiful studio with a nearby art studio."
"studio" should have num_bedrooms = 0. Ignore the second appearance of "studio" since it is followed by "art".
Input/Output
[execution time limit] 4 seconds (py3)
[memory limit] 1 GB
[input] string jsonData
String in JSON format. It's guaranteed that each listing contains the fields "id", "agent", "unit", "description" and "num_bedrooms".
Guaranteed constraints:
136 ≤ jsonData.length ≤ 15366.
[output] array.integer
Return an array that contains the correct values for num_bedrooms for all of the listings in jsonData.
Note for Python3 users: if you use a numpy array, casting to a list creates a list of numpy.int64 integers. Your returned array needs to be an array of standard Python int types.
[Python 3] Syntax Tips
# Prints help message to the console
# Returns a string
def helloWorld(name):
print("This prints to the console when you Run Tests")
return "Hello, " + name
