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Located in the bustling heart of Toronto, this Tim Hortons is a cozy retreat for locals and visitors alike. Renowned for its iconic Canadian coffee, delectable doughnuts, and a wide range of breakfast and lunch options, it offers a perfect spot for a quick bite or a relaxing break amidst the city’s fast-paced life. Its welcoming atmosphere and friendly staff ensure every visit is a delightful experience.
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This Tim Hortons location is an absolute gem. Words alone can't capture my delight, so let me express it in the most eloquent way I know—by coding it in Python 🐍👇 class TimHortonsReview: def __init__(self, location, coffee_quality, service, atmosphere, cleanliness): self.location = location self.coffee_quality = coffee_quality self.service = service self.atmosphere = atmosphere self.cleanliness = cleanliness def review(self): review_text = ... f""" Tim Hortons Review Location: {self.location} Coffee Quality: {'Excellent' if self.coffee_quality >= 8 else 'Good' if self.coffee_quality >= 5 else 'Poor'} Service: {'Friendly' if self.service >= 8 else 'Okay' if self.service >= 5 else 'Unfriendly'} Atmosphere: {'Cozy' if self.atmosphere >= 8 else 'Average' if self.atmosphere >= 5 else 'Uncomfortable'} Cleanliness: {'Spotless' if self.cleanliness >= 8 else 'Clean' if self.cleanliness >= 5 else 'Dirty'} Overall: {self.overall_rating()} """ return review_text def overall_rating(self): average_score = (self.coffee_quality + self.service + self.atmosphere + self.cleanliness) / 4 return 'Highly Recommend' if average_score >= 8 else 'Recommend' if average_score >= 5 else 'Not Recommend' # Example usage tim_hortons = TimHortonsReview(location="Downtown", coffee_quality=7, service=6, atmosphere=5, cleanliness=8) print(tim_hortons.review()) Output: Tim Hortons Review Location: Downtown Coffee Quality: Good Service: Okay Atmosphere: Average Cleanliness: Spotless Overall: Recommend Read more