Challenge: Room Proportion Analyzer
Architects often need to quickly assess the proportions of different rooms to ensure they meet design standards and functional requirements. One way to do this is by classifying rooms based on their aspect ratios, which compare the width and length of a room. An aspect ratio close to 1:1 usually indicates a square room, while larger or smaller ratios suggest the room is either wide or narrow. In this challenge, you will write a function that analyzes a list of rooms, each with a specified width and length, and classifies their proportions as either 'Square', 'Wide', or 'Narrow'.
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Write a function called classify_room_proportions that takes a list of dictionaries, where each dictionary has keys "name", "width", and "length". The function should return a dictionary mapping each room name to its aspect ratio classification:
- 'Square' if width and length differ by less than 10%.
- 'Wide' if width is greater than length by 10% or more.
- 'Narrow' if length is greater than width by 10% or more.
Use the following sample data for testing:
rooms = [
{"name": "Gallery", "width": 6.0, "length": 6.5},
{"name": "Studio", "width": 3.5, "length": 3.4},
{"name": "Library", "width": 4.0, "length": 5.0},
{"name": "Lounge", "width": 5.5, "length": 4.5},
{"name": "Hall", "width": 7.0, "length": 7.0}
]
Your function should return:
{
'Gallery': 'Narrow',
'Studio': 'Square',
'Library': 'Narrow',
'Lounge': 'Wide',
'Hall': 'Square'
}
Lösung
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Completion Rate verbessert auf 4.76Challenge: Room Proportion Analyzer
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Architects often need to quickly assess the proportions of different rooms to ensure they meet design standards and functional requirements. One way to do this is by classifying rooms based on their aspect ratios, which compare the width and length of a room. An aspect ratio close to 1:1 usually indicates a square room, while larger or smaller ratios suggest the room is either wide or narrow. In this challenge, you will write a function that analyzes a list of rooms, each with a specified width and length, and classifies their proportions as either 'Square', 'Wide', or 'Narrow'.
Swipe to start coding
Write a function called classify_room_proportions that takes a list of dictionaries, where each dictionary has keys "name", "width", and "length". The function should return a dictionary mapping each room name to its aspect ratio classification:
- 'Square' if width and length differ by less than 10%.
- 'Wide' if width is greater than length by 10% or more.
- 'Narrow' if length is greater than width by 10% or more.
Use the following sample data for testing:
rooms = [
{"name": "Gallery", "width": 6.0, "length": 6.5},
{"name": "Studio", "width": 3.5, "length": 3.4},
{"name": "Library", "width": 4.0, "length": 5.0},
{"name": "Lounge", "width": 5.5, "length": 4.5},
{"name": "Hall", "width": 7.0, "length": 7.0}
]
Your function should return:
{
'Gallery': 'Narrow',
'Studio': 'Square',
'Library': 'Narrow',
'Lounge': 'Wide',
'Hall': 'Square'
}
Lösung
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