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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
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Software Engineer, Backend

Interviewed at Ramp

3.8★
Feb 12, 2025

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

1. Python and systems basic questions, followed by a live coding exercise to fix some bug. 2. CS theoretical questions (hash maps/tables) and a live coding exercise where you need to understand big O notation. 3. System design interview where you need to solve a challenge they had in the past related to the way they provide a seamless image experience. Similar to google maps image tiling...
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Backend Software Engineer

Interviewed at Aignostics

4.2★
Jul 7, 2023

1. Python and systems basic questions, followed by a live coding exercise to fix some bug. 2. CS theoretical questions (hash maps/tables) and a live coding exercise where you need to understand big O notation. 3. System design interview where you need to solve a challenge they had in the past related to the way they provide a seamless image experience. Similar to google maps image tiling...

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