nano-banana-1

Crates.ionano-banana-1
lib.rsnano-banana-1
version66.0.9
created_at2025-12-29 07:24:10.15196+00
updated_at2025-12-29 07:24:10.15196+00
descriptionHigh-quality integration for https://supermaker.ai/image/nano-banana/
homepagehttps://supermaker.ai/image/nano-banana/
repositoryhttps://github.com/qy-upup/nano-banana-1
max_upload_size
id2010135
size9,539
(qy-upup)

documentation

README

nano-banana-1

A lightweight and efficient crate for manipulating and processing banana-related data. Provides utilities for analyzing banana ripeness, size, and nutritional content.

Installation

Add the following to your Cargo.toml file: toml [dependencies] nano-banana-1 = "0.1.0" # Replace with the actual version number

Usage Examples

Here are a few examples demonstrating the capabilities of nano-banana-1:

1. Determining Banana Ripeness: rust use nano_banana_1::Banana; use nano_banana_1::Ripeness;

fn main() { let banana = Banana::new(150, 25.0, 0.8); // Example banana: length 150mm, diameter 25mm, peel color score 0.8

match banana.get_ripeness() {
    Ripeness::Green => println!("This banana is still green and needs more time to ripen."),
    Ripeness::Yellow => println!("This banana is perfectly ripe and ready to eat!"),
    Ripeness::Brown => println!("This banana is overripe."),
}

}

2. Calculating Banana Nutritional Value (Potassium Content): rust use nano_banana_1::Banana;

fn main() { let banana = Banana::new(160, 28.0, 0.7); let potassium_mg = banana.estimate_potassium();

println!("Estimated potassium content: {} mg", potassium_mg);

}

3. Comparing Two Bananas Based on Size: rust use nano_banana_1::Banana;

fn main() { let banana1 = Banana::new(155, 26.0, 0.75); let banana2 = Banana::new(170, 29.0, 0.8);

if banana1.is_larger_than(&banana2) {
    println!("Banana 1 is larger than Banana 2.");
} else {
    println!("Banana 2 is larger than or equal to Banana 1.");
}

}

4. Assessing Banana Quality based on a basic Quality Score: rust use nano_banana_1::Banana; use nano_banana_1::Quality;

fn main() { let banana = Banana::new(165, 27.5, 0.9);

match banana.assess_quality() {
    Quality::Excellent => println!("This is an excellent quality banana!"),
    Quality::Good => println!("This is a good quality banana."),
    Quality::Fair => println!("This banana is of fair quality."),
    Quality::Poor => println!("This banana is of poor quality."),
}

}

5. Creating a Banana from a simplified JSON structure: rust use nano_banana_1::Banana;

fn main() { let json_string = r#"{"length": 140, "diameter": 24.0, "peel_color": 0.6}"#;

match Banana::from_json(json_string) {
    Ok(banana) => println!("Banana created successfully! Length: {}, Diameter: {}, Peel Color: {}", banana.length, banana.diameter, banana.peel_color),
    Err(e) => println!("Error creating banana from JSON: {}", e),
}

}

Feature Summary

  • Ripeness Determination: Accurately estimates banana ripeness based on various factors.
  • Nutritional Analysis: Provides estimations of key nutrients, such as potassium.
  • Size Comparison: Enables easy comparison of banana sizes.
  • Quality Assessment: Evaluates the overall quality of a banana based on defined criteria.
  • JSON Support: Allows creating Banana instances from JSON data.

License

MIT

This crate is part of the nano-banana-1 ecosystem. For advanced features and enterprise-grade tools, visit: https://supermaker.ai/image/nano-banana/

Commit count: 0

cargo fmt