This library provides a simple implementation of the 3D Bin Packing problem, which is useful for solving the Container Loading Problem (CLP).
To install the library, you can use pip:
pip install 3d_bin_packer
Importing the Library
from bin_packer import Bin, Item, Packer
Creating an instance of the BinPacking class
bin1 = Bin('Le grande box', 100, 100, 300)
item1 = Item('Item 1', 150, 50, 50)
Packing Items into Bins To pack items into bins, you need to create a Packer instance, add bins and items to it, and then call the pack method:
packer = Packer()
packer.add_bin(bin1)
packer.add_item(item1)
packer.pack()
Checking the Results You can check the packed items and unfit items using the bins and unfit_items properties of the Packer class:
for bin_ in packer.bins:
print(f"Bin: {bin_.name}")
for item in bin_.items:
print(f" Packed item: {item.name}")
print("Unfit items:")
for item in packer.unfit_items:
print(f" Unfit item: {item.name}")
Example Here is a complete example that demonstrates how to use the library:
from bin_packer import Packer, Bin, Item
# Create bins
bin1 = Bin('Le grande box', 100, 100, 300)
# Create items
items = [Item('Item 1', 150, 50, 50) for i in range(1000)]
# Create packer and add bins and items
packer = Packer()
packer.add_bin(bin1)
for item in items:
packer.add_item(item)
# Pack items into bins
packer.pack()
# Check the results
for bin_ in packer.bins:
print(f"Bin: {bin_.name}")
for item in bin_.items:
print(f" Packed item: {item.name}")
print(f" Position: {item.position}")
print("Unfit items:", len(packer.unfit_items))
Running Tests To run the tests, you can use the unittest module:
python -m unittest discover tests
License This project is licensed under the MIT License. See the LICENSE file for details.
Credits: This is just a Python Implementation of the code from npm package https://www.npmjs.com/package/@owens3364/3d-bin-packing.