# rectpack

**Repository Path**: silent790/rectpack

## Basic Information

- **Project Name**: rectpack
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 2
- **Forks**: 0
- **Created**: 2022-05-05
- **Last Updated**: 2024-06-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: 下料问题, 切割问题

## README

# rectpack [![Build Status](https://travis-ci.org/secnot/rectpack.svg?branch=master)](https://travis-ci.org/secnot/rectpack)


Rectpack is a collection of heuristic algorithms for solving the 2D knapsack problem,
also known as the bin packing problem. In essence packing a set of rectangles into the 
smallest number of bins.

![alt tag](docs/maxrects.png)


## Installation

Download the package or clone the repository, and then install with:

```bash
python setup.py install
```

or use pypi:

```bash
pip install rectpack
```

## Basic Usage

Packing rectangles into a number of bins is very simple:

```python
from rectpack import newPacker

rectangles = [(100, 30), (40, 60), (30, 30),(70, 70), (100, 50), (30, 30)]
bins = [(300, 450), (80, 40), (200, 150)]

packer = newPacker()

# Add the rectangles to packing queue
for r in rectangles:
	packer.add_rect(*r)

# Add the bins where the rectangles will be placed
for b in bins:
	packer.add_bin(*b)

# Start packing
packer.pack()
```

Once the rectangles have been packed the results can be accessed individually

```python
# Obtain number of bins used for packing
nbins = len(packer)

# Index first bin
abin = packer[0]

# Bin dimmensions (bins can be reordered during packing)
width, height = abin.width, abin.height

# Number of rectangles packed into first bin
nrect = len(packer[0])

# Second bin first rectangle
rect = packer[1][0]

# rect is a Rectangle object
x = rect.x # rectangle bottom-left x coordinate
y = rect.y # rectangle bottom-left y coordinate
w = rect.width
h = rect.height
```

looping over all of them

```python
for abin in packer:
  print(abin.bid) # Bin id if it has one
  for rect in abin:
    print(rect)
```

or using **rect_list()**

```python
# Full rectangle list
all_rects = packer.rect_list()
for rect in all_rects:
	b, x, y, w, h, rid = rect

# b - Bin index
# x - Rectangle bottom-left corner x coordinate
# y - Rectangle bottom-left corner y coordinate
# w - Rectangle width
# h - Rectangle height
# rid - User asigned rectangle id or None
```

Lastly all the dimmension (bins and rectangles) must be integers or decimals to avoid
collisions caused by floating point rounding. If your data is floating point use 
float2dec to convert float values to decimals (see float below)


## API

A more detailed description of API calls:

* class **newPacker**([, mode][, bin_algo][, pack_algo][, sort_algo][, rotation])  
  Return a new packer object
  * mode: Mode of operations
    * PackingMode.Offline: The set of rectangles is known beforehand, packing won't
    start until *pack()* is called.
    * PackingMode.Online: The rectangles are unknown at the beginning of the job, and
    will be packed as soon as they are added.
  * bin_algo: Bin selection heuristic
    * PackingBin.BNF: (Bin Next Fit) If a rectangle doesn't fit into the current bin,
    close it and try next one.
    * PackingBin.BFF: (Bin First Fit) Pack rectangle into the first bin it fits (without closing)
    * PackingBin.BBF: (Bin Best Fit) Pack rectangle into the bin that gives best fitness.
    * PackingBin.Global: For each bin pack the rectangle with the best fitness until it is full,
    then continue with next bin.
  * pack_algo: One of the supported packing algorithms (see list below)
  * sort_algo: Rectangle sort order before packing (only for offline mode)
    * SORT_NONE: Rectangles left unsorted.
    * SORT_AREA: Sort by descending area.
    * SORT_PERI: Sort by descending perimeter.
    * SORT_DIFF: Sort by difference of rectangle sides.
    * SORT_SSIDE: Sort by shortest side.
    * SORT_LSIDE: Sort by longest side.
    * SORT_RATIO: Sort by ration between sides.
  * rotation: Enable or disable rectangle rotation.


* packer.**add_bin**(width, height[, count][, bid])  
  Add empty bin or bins to a packer
  * width: Bin width
  * height: Bin height
  * count: Number of bins to add, 1 by default. It's possible to add infinie bins
  with *count=float("inf")*
  * bid: Optional bin identifier


* packer.**add_rect**(width, height[, rid])  
  Add rectangle to packing queue
  * width: Rectangle width
  * height: Rectangle height
  * rid: User assigned rectangle id


* packer.**pack**():  
  Starts packing process (only for offline mode).


* packer.**rect_list**():  
  Returns the list of packed rectangles, each one represented by the tuple (b, x, y, w, h, rid) where:
  * b: Index for the bin the rectangle was packed into
  * x: X coordinate for the rectangle bottom-left corner
  * y: Y coordinate for the rectangle bottom-left corner
  * w: Rectangle width
  * h: Rectangle height
  * rid: User provided id or None


## Supported Algorithms

This library implements three of the algorithms described in [1] Skyline, Maxrects, 
and Guillotine, with the following variants:

* MaxRects  
  * MaxRectsBl
  * MaxRectsBssf
  * MaxRectsBaf
  * MaxRectsBlsf


* Skyline  
  * SkylineBl
  * SkylineBlWm
  * SkylineMwf
  * SkylineMwfl
  * SkylineMwfWm
  * SkylineMwflWm


* Guillotine  
  * GuillotineBssfSas
  * GuillotineBssfLas
  * GuillotineBssfSlas
  * GuillotineBssfLlas
  * GuillotineBssfMaxas
  * GuillotineBssfMinas
  * GuillotineBlsfSas
  * GuillotineBlsfLas
  * GuillotineBlsfSlas
  * GuillotineBlsfLlas
  * GuillotineBlsfMaxas
  * GuillotineBlsfMinas
  * GuillotineBafSas
  * GuillotineBafLas
  * GuillotineBafSlas
  * GuillotineBafLlas
  * GuillotineBafMaxas
  * GuillotineBafMinas

I recommend to use the default algorithm unless the packing is too slow, in that 
case switch to one of the Guillotine variants for example *GuillotineBssfSas*. 
You can learn more about the algorithms in [1].

## Testing

Rectpack is thoroughly tested, run the tests with:

```bash
python setup.py test
```

or

```bash
python -m unittest discover
```

## Float

If you need to use floats just convert them to fixed-point using a Decimal type,
be carefull rounding up so the actual rectangle size is always smaller than
the conversion. Rectpack provides helper funcion **float2dec** for this task,
it accepts a number and the number of decimals to round to, and returns
the rounded Decimal.

```python
	from rectpack import float2dec, newPacker

	float_rects = [...]
	dec_rects = [(float2dec(r[0], 3), float2dec(r[1], 3)) for r in float_rects]

	p = newPacker()
    ...
```

## References

[1] Jukka Jylang - A Thousand Ways to Pack the Bin - A Practical Approach to Two-Dimensional
Rectangle Bin Packing (2010)

[2] Huang, E. Korf - Optimal Rectangle Packing: An Absolute Placement Approach (2013)