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from dataclasses import dataclass
@dataclass
class PantsMeasurements:
waist: float # in cm
hips: float # in cm
leg_length: float # in cm
def determine_fit(measurements: PantsMeasurements) -> str:
"""
Determine the general fit for pants based on waist, hips, and leg length measurements.
The algorithm uses two ratios:
- Waist-to-Hips Ratio: Lower ratios typically suggest a more tapered (slim) waist.
- Leg-to-Hips Ratio: Higher values indicate longer legs relative to hip size.
Assumed thresholds for demonstration purposes:
- Slim Fit: if waist/hips < 0.80 and leg_length/hips >= 1.15
- Regular Fit: if 0.80 <= waist/hips <= 0.90 and 1.05 <= leg_length/hips < 1.15
- Loose Fit: otherwise
Args:
measurements (PantsMeasurements): The measurements for waist, hips, and leg length.
Returns:
str: A recommendation of 'Slim Fit', 'Regular Fit', or 'Loose Fit'.
"""
waist_to_hip = measurements.waist / measurements.hips
leg_to_hip = measurements.leg_length / measurements.hips
if waist_to_hip < 0.80 and leg_to_hip >= 1.15:
return "Slim Fit"
elif 0.80 <= waist_to_hip <= 0.90 and 1.05 <= leg_to_hip < 1.15:
return "Regular Fit"
else:
return "Loose Fit"
def get_fit(waist: float, hips: float, leg_length: float) -> str:
"""
Get a fit recommendation for pants based on input measurements.
Args:
waist (float): Waist measurement in cm.
hips (float): Hip measurement in cm.
leg_length (float): Leg length measurement in cm.
Returns:
str: The recommended pants fit category.
"""
measurements = PantsMeasurements(waist=waist, hips=hips, leg_length=leg_length)
return determine_fit(measurements)
if __name__ == "__main__":
try:
waist_input = float(input("Enter your waist measurement (cm): "))
hips_input = float(input("Enter your hip measurement (cm): "))
leg_length_input = float(input("Enter your leg length measurement (cm): "))
except ValueError:
print("Please enter valid numeric values.")
exit(1)
recommended_fit = get_fit(waist_input, hips_input, leg_length_input)
print(f"Based on your measurements, your recommended fit for pants is: {recommended_fit}")
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