Metadata-Version: 2.3
Name: unitcellsdf
Version: 0.0.2
Summary: Generate 3D meshes from signed distance functions.
Project-URL: Homepage, https://github.com/unitcellhub/unitcellsdf
Project-URL: Bug Reports, https://github.com/unitcellhub/unitcellsdf/issues
Author-email: Michael Fogleman <michael.fogleman@gmail.com>
License: Copyright (C) 2021 Michael Fogleman
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
Keywords: sdf,unitcell,unitcellhub
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9
Requires-Dist: matplotlib>=3.9.3
Requires-Dist: meshio>=5.3.5
Requires-Dist: numpy<2.0
Requires-Dist: pillow>=11.0.0
Requires-Dist: scikit-image>=0.24.0
Requires-Dist: scipy>=1.13.1
Description-Content-Type: text/markdown

# sdf

> [!NOTE]
> This is a forked version on the sdf library.
> Due to UnitcellEngine's dependency on this library, and the lack of a PyPi library, this fork is a means to close out the packaging for UnitcellEngine. 

Generate 3D meshes based on SDFs (signed distance functions) with a
dirt simple Python API.

Special thanks to [Inigo Quilez](https://iquilezles.org/) for his excellent documentation on signed distance functions:

- [3D Signed Distance Functions](https://iquilezles.org/www/articles/distfunctions/distfunctions.htm)
- [2D Signed Distance Functions](https://iquilezles.org/www/articles/distfunctions2d/distfunctions2d.htm)

## Example

<img width=350 align="right" src="docs/images/example.png">

Here is a complete example that generates the model shown. This is the
canonical [Constructive Solid Geometry](https://en.wikipedia.org/wiki/Constructive_solid_geometry)
example. Note the use of operators for union, intersection, and difference.

```python
from sdf import *

f = sphere(1) & box(1.5)

c = cylinder(0.5)
f -= c.orient(X) | c.orient(Y) | c.orient(Z)

f.save('out.stl')
```

Yes, that's really the entire code! You can 3D print that model or use it
in a 3D application.

## More Examples

Have a cool example? Submit a PR!

| [gearlike.py](examples/gearlike.py) | [knurling.py](examples/knurling.py) | [blobby.py](examples/blobby.py) | [weave.py](examples/weave.py) |
| --- | --- | --- | --- |
| ![gearlike](docs/images/gearlike.png) | ![knurling](docs/images/knurling.png) | ![blobby](docs/images/blobby.png) | ![weave](docs/images/weave.png) |
| ![gearlike](docs/images/gearlike.jpg) | ![knurling](docs/images/knurling.jpg) | ![blobby](docs/images/blobby.jpg) | ![weave](docs/images/weave.jpg) |

## Requirements

Note that the dependencies will be automatically installed by setup.py when
following the directions below.

- Python 3
- matplotlib
- meshio
- numpy
- Pillow
- scikit-image
- scipy

## Installation

```
pip install unitcellsdf
```

Confirm that it works:

```bash
python examples/example.py # should generate a file named out.stl
```

You can skip the installation if you always run scripts that import `sdf`
from the root folder.

## OpenVDB

OpenVDB and its Python module are also required if you want to use meshes as SDFs.
It doesn't seem like this can easily be installed via pip. The basic approach for
building it is as follows:

```bash
git clone https://github.com/AcademySoftwareFoundation/openvdb.git
cd openvdb
mkdir build
cd build
cmake -D OPENVDB_BUILD_PYTHON_MODULE=ON -D USE_NUMPY=ON ..
make -j8
cp openvdb/openvdb/python/pyopenvdb.* `python -c 'import site; print(site.getsitepackages()[0])'`
```

## File Formats

`sdf` natively writes binary STL files. For other formats, [meshio](https://github.com/nschloe/meshio)
is used (based on your output file extension). This adds support for over 20 different 3D file formats,
including OBJ, PLY, VTK, and many more.

## Viewing the Mesh

<img width=250 align="right" src="docs/images/meshview.png">

Find and install a 3D mesh viewer for your platform, such as [MeshLab](https://www.meshlab.net/).

I have developed and use my own cross-platform mesh viewer called [meshview](https://github.com/fogleman/meshview) (see screenshot).
Installation is easy if you have [Go](https://golang.org/) and [glfw](https://www.glfw.org/) installed:

```bash
$ brew install go glfw # on macOS with homebrew
$ go get -u github.com/fogleman/meshview/cmd/meshview
```

Then you can view any mesh from the command line with:

```bash
$ meshview your-mesh.stl
```

See the meshview [README](https://github.com/fogleman/meshview) for more complete installation instructions.

On macOS you can just use the built-in Quick Look (press spacebar after selecting the STL file in Finder) in a pinch.

# API

In all of the below examples, `f` is any 3D SDF, such as:

```python
f = sphere()
```

## Bounds

The bounding box of the SDF is automatically estimated. Inexact SDFs such as
non-uniform scaling may cause issues with this process. In that case you can
specify the bounds to sample manually:

```python
f.save('out.stl', bounds=((-1, -1, -1), (1, 1, 1)))
```

## Resolution

The resolution of the mesh is also computed automatically. There are two ways
to specify the resolution. You can set the resolution directly with `step`:

```python
f.save('out.stl', step=0.01)
f.save('out.stl', step=(0.01, 0.02, 0.03)) # non-uniform resolution
```

Or you can specify approximately how many points to sample:

```python
f.save('out.stl', samples=2**24) # sample about 16M points
```

By default, `samples=2**22` is used.

*Tip*: Use the default resolution while developing your SDF. Then when you're done,
crank up the resolution for your final output.

## Batches

The SDF is sampled in batches. By default the batches have `32**3 = 32768`
points each. This batch size can be overridden:

```python
f.save('out.stl', batch_size=64) # instead of 32
```

The code attempts to skip any batches that are far away from the surface of
the mesh. Inexact SDFs such as non-uniform scaling may cause issues with this
process, resulting in holes in the output mesh (where batches were skipped when
they shouldn't have been). To avoid this, you can disable sparse sampling:

```python
f.save('out.stl', sparse=False) # force all batches to be completely sampled
```

## Worker Threads

The SDF is sampled in batches using worker threads. By default,
`multiprocessing.cpu_count()` worker threads are used. This can be overridden:

```python
f.save('out.stl', workers=1) # only use one worker thread
```

## Without Saving

You can of course generate a mesh without writing it to an STL file:

```python
points = f.generate() # takes the same optional arguments as `save`
print(len(points)) # print number of points (3x the number of triangles)
print(points[:3]) # print the vertices of the first triangle
```

If you want to save an STL after `generate`, just use:

```python
write_binary_stl(path, points)
```

## Visualizing the SDF

<img width=350 align="right" src="docs/images/show_slice.png">

You can plot a visualization of a 2D slice of the SDF using matplotlib.
This can be useful for debugging purposes.

```python
f.show_slice(z=0)
f.show_slice(z=0, abs=True) # show abs(f)
```

You can specify a slice plane at any X, Y, or Z coordinate. You can
also specify the bounds to plot.

Note that `matplotlib` is only imported if this function is called, so it
isn't strictly required as a dependency.

<br clear="right">

## How it Works

The code simply uses the [Marching Cubes](https://en.wikipedia.org/wiki/Marching_cubes)
algorithm to generate a mesh from the [Signed Distance Function](https://en.wikipedia.org/wiki/Signed_distance_function).

This would normally be abysmally slow in Python. However, numpy is used to
evaluate the SDF on entire batches of points simultaneously. Furthermore,
multiple threads are used to process batches in parallel. The result is
surprisingly fast (for marching cubes). Meshes of adequate detail can
still be quite large in terms of number of triangles.

The core "engine" of the `sdf` library is very small and can be found in
[core.py](https://github.com/fogleman/sdf/blob/main/sdf/core.py).

In short, there is nothing algorithmically revolutionary here. The goal is
to provide a simple, fun, and easy-to-use API for generating 3D models in our
favorite language Python.

## Files

- [sdf/core.py](https://github.com/fogleman/sdf/blob/main/sdf/core.py): The core mesh-generation engine. Also includes code for estimating the bounding box of an SDF and for plotting a 2D slice of an SDF with matplotlib.
- [sdf/d2.py](https://github.com/fogleman/sdf/blob/main/sdf/d2.py): 2D signed distance functions
- [sdf/d3.py](https://github.com/fogleman/sdf/blob/main/sdf/d3.py): 3D signed distance functions
- [sdf/dn.py](https://github.com/fogleman/sdf/blob/main/sdf/dn.py): Dimension-agnostic signed distance functions
- [sdf/ease.py](https://github.com/fogleman/sdf/blob/main/sdf/ease.py): [Easing functions](https://easings.net/) that operate on numpy arrays. Some SDFs take an easing function as a parameter.
- [sdf/mesh.py](https://github.com/fogleman/sdf/blob/main/sdf/mesh.py): Code for loading meshes and using them as SDFs.
- [sdf/progress.py](https://github.com/fogleman/sdf/blob/main/sdf/progress.py): A console progress bar.
- [sdf/stl.py](https://github.com/fogleman/sdf/blob/main/sdf/stl.py): Code for writing a binary [STL file](https://en.wikipedia.org/wiki/STL_(file_format)).
- [sdf/text.py](https://github.com/fogleman/sdf/blob/main/sdf/text.py): Generate 2D SDFs for text (which can then be extruded)
- [sdf/util.py](https://github.com/fogleman/sdf/blob/main/sdf/util.py): Utility constants and functions.

## SDF Implementation

It is reasonable to write your own SDFs beyond those provided by the
built-in library. Browse the SDF implementations to understand how they are
implemented. Here are some simple examples:

```python
@sdf3
def sphere(radius=1, center=ORIGIN):
    def f(p):
        return np.linalg.norm(p - center, axis=1) - radius
    return f
```

An SDF is simply a function that takes a numpy array of points with shape `(N, 3)`
for 3D SDFs or shape `(N, 2)` for 2D SDFs and returns the signed distance for each
of those points as an array of shape `(N, 1)`. They are wrapped with the
`@sdf3` decorator (or `@sdf2` for 2D SDFs) which make boolean operators work,
add the `save` method, add the operators like `translate`, etc.

```python
@op3
def translate(other, offset):
    def f(p):
        return other(p - offset)
    return f
```

An SDF that operates on another SDF (like the above `translate`) should use
the `@op3` decorator instead. This will register the function such that SDFs
can be chained together like:

```python
f = sphere(1).translate((1, 2, 3))
```

Instead of what would otherwise be required:

```python
f = translate(sphere(1), (1, 2, 3))
```

## Remember, it's Python!

<img width=250 align="right" src="docs/images/customizable_box.png">

Remember, this is Python, so it's fully programmable. You can and should split up your
model into parameterized sub-components, for example. You can use for loops and
conditionals wherever applicable. The sky is the limit!

See the [customizable box example](examples/customizable_box.py) for some starting ideas.

<br clear="right">

# Function Reference

## 3D Primitives

### sphere

<img width=128 align="right" src="docs/images/sphere.png">

`sphere(radius=1, center=ORIGIN)`

```python
f = sphere() # unit sphere
f = sphere(2) # specify radius
f = sphere(1, (1, 2, 3)) # translated sphere
```

### box

<img width=128 align="right" src="docs/images/box2.png">

`box(size=1, center=ORIGIN, a=None, b=None)`

```python
f = box(1) # all side lengths = 1
f = box((1, 2, 3)) # different side lengths
f = box(a=(-1, -1, -1), b=(3, 4, 5)) # specified by bounds
```

### rounded_box

<img width=128 align="right" src="docs/images/rounded_box.png">

`rounded_box(size, radius)`

```python
f = rounded_box((1, 2, 3), 0.25)
```

### wireframe_box
<img width=128 align="right" src="docs/images/wireframe_box.png">

`wireframe_box(size, thickness)`

```python
f = wireframe_box((1, 2, 3), 0.05)
```

### torus
<img width=128 align="right" src="docs/images/torus.png">

`torus(r1, r2)`

```python
f = torus(1, 0.25)
```

### capsule
<img width=128 align="right" src="docs/images/capsule.png">

`capsule(a, b, radius)`

```python
f = capsule(-Z, Z, 0.5)
```

### capped_cylinder
<img width=128 align="right" src="docs/images/capped_cylinder.png">

`capped_cylinder(a, b, radius)`

```python
f = capped_cylinder(-Z, Z, 0.5)
```

### rounded_cylinder
<img width=128 align="right" src="docs/images/rounded_cylinder.png">

`rounded_cylinder(ra, rb, h)`

```python
f = rounded_cylinder(0.5, 0.1, 2)
```

### capped_cone

<img width=128 align="right" src="docs/images/capped_cone.png">

`capped_cone(a, b, ra, rb)`

```python
f = capped_cone(-Z, Z, 1, 0.5)
```

### rounded_cone

<img width=128 align="right" src="docs/images/rounded_cone.png">

`rounded_cone(r1, r2, h)`

```python
f = rounded_cone(0.75, 0.25, 2)
```

### ellipsoid

<img width=128 align="right" src="docs/images/ellipsoid.png">

`ellipsoid(size)`

```python
f = ellipsoid((1, 2, 3))
```

### pyramid

<img width=128 align="right" src="docs/images/pyramid.png">

`pyramid(h)`

```python
f = pyramid(1)
```

## Platonic Solids

### tetrahedron

<img width=128 align="right" src="docs/images/tetrahedron.png">

`tetrahedron(r)`

```python
f = tetrahedron(1)
```

### octahedron

<img width=128 align="right" src="docs/images/octahedron.png">

`octahedron(r)`

```python
f = octahedron(1)
```

### dodecahedron

<img width=128 align="right" src="docs/images/dodecahedron.png">

`dodecahedron(r)`

```python
f = dodecahedron(1)
```

### icosahedron

<img width=128 align="right" src="docs/images/icosahedron.png">

`icosahedron(r)`

```python
f = icosahedron(1)
```

## Infinite 3D Primitives

The following SDFs extend to infinity in some or all axes.
They can only effectively be used in combination with other shapes, as shown in the examples below.

### plane

<img width=128 align="right" src="docs/images/plane.png">

`plane(normal=UP, point=ORIGIN)`

`plane` is an infinite plane, with one side being positive (outside) and one side being negative (inside).

```python
f = sphere() & plane()
```

### slab

<img width=128 align="right" src="docs/images/slab.png">

`slab(x0=None, y0=None, z0=None, x1=None, y1=None, z1=None, k=None)`

`slab` is useful for cutting a shape on one or more axis-aligned planes.

```python
f = sphere() & slab(z0=-0.5, z1=0.5, x0=0)
```

### cylinder

<img width=128 align="right" src="docs/images/cylinder.png">

`cylinder(radius)`

`cylinder` is an infinite cylinder along the Z axis.

```python
f = sphere() - cylinder(0.5)
```

## Text

Yes, even text is supported!

![Text](docs/images/text-large.png)

`text(font_name, text, width=None, height=None, pixels=PIXELS, points=512)`

```python
FONT = 'Arial'
TEXT = 'Hello, world!'

w, h = measure_text(FONT, TEXT)

f = rounded_box((w + 1, h + 1, 0.2), 0.1)
f -= text(FONT, TEXT).extrude(1)
```

Note: [PIL.ImageFont](https://pillow.readthedocs.io/en/stable/reference/ImageFont.html),
which is used to load fonts, does not search for the font by name on all operating systems.
For example, on Ubuntu the full path to the font has to be provided.
(e.g. `/usr/share/fonts/truetype/freefont/FreeMono.ttf`)

## Images

Image masks can be extruded and incorporated into your 3D model.

![Image Mask](docs/images/butterfly.png)

`image(path_or_array, width=None, height=None, pixels=PIXELS)`

```python
IMAGE = 'examples/butterfly.png'

w, h = measure_image(IMAGE)

f = rounded_box((w * 1.1, h * 1.1, 0.1), 0.05)
f |= image(IMAGE).extrude(1) & slab(z0=0, z1=0.075)
```

## Positioning

### translate

<img width=128 align="right" src="docs/images/translate.png">

`translate(other, offset)`

```python
f = sphere().translate((0, 0, 2))
```

### scale

<img width=128 align="right" src="docs/images/scale.png">

`scale(other, factor)`

Note that non-uniform scaling is an inexact SDF.

```python
f = sphere().scale(2)
f = sphere().scale((1, 2, 3)) # non-uniform scaling
```

### rotate

<img width=128 align="right" src="docs/images/rotate.png">

`rotate(other, angle, vector=Z)`

```python
f = capped_cylinder(-Z, Z, 0.5).rotate(pi / 4, X)
```

### orient

<img width=128 align="right" src="docs/images/orient.png">

`orient(other, axis)`

`orient` rotates the shape such that whatever was pointing in the +Z direction
is now pointing in the specified direction.

```python
c = capped_cylinder(-Z, Z, 0.25)
f = c.orient(X) | c.orient(Y) | c.orient(Z)
```

## Boolean Operations

The following primitives `a` and `b` are used in all of the following
boolean operations.

```python
a = box((3, 3, 0.5))
b = sphere()
```

The named versions (`union`, `difference`, `intersection`) can all take
one or more SDFs as input. They all take an optional `k` parameter to define the amount
of smoothing to apply. When using operators (`|`, `-`, `&`) the smoothing can
still be applied via the `.k(...)` function.

### union

<img width=128 align="right" src="docs/images/union.png">

```python
f = a | b
f = union(a, b) # equivalent
```

<br clear="right">

### difference

<img width=128 align="right" src="docs/images/difference.png">

```python
f = a - b
f = difference(a, b) # equivalent
```

<br clear="right">

### intersection

<img width=128 align="right" src="docs/images/intersection.png">

```python
f = a & b
f = intersection(a, b) # equivalent
```

<br clear="right">

### smooth_union

<img width=128 align="right" src="docs/images/smooth_union.png">

```python
f = a | b.k(0.25)
f = union(a, b, k=0.25) # equivalent
```

<br clear="right">

### smooth_difference

<img width=128 align="right" src="docs/images/smooth_difference.png">

```python
f = a - b.k(0.25)
f = difference(a, b, k=0.25) # equivalent
```

<br clear="right">

### smooth_intersection

<img width=128 align="right" src="docs/images/smooth_intersection.png">

```python
f = a & b.k(0.25)
f = intersection(a, b, k=0.25) # equivalent
```

<br clear="right">

## Repetition

### repeat

<img width=128 align="right" src="docs/images/repeat.png">

`repeat(other, spacing, count=None, padding=0)`

`repeat` can repeat the underlying SDF infinitely or a finite number of times.
If finite, the number of repetitions must be odd, because the count specifies
the number of copies to make on each side of the origin. If the repeated
elements overlap or come close together, you may need to specify a `padding`
greater than zero to compute a correct SDF.

```python
f = sphere().repeat(3, (1, 1, 0))
```

### circular_array

<img width=128 align="right" src="docs/images/circular_array.png">

`circular_array(other, count, offset)`

`circular_array` makes `count` copies of the underlying SDF, arranged in a
circle around the Z axis. `offset` specifies how far to translate the shape
in X before arraying it. The underlying SDF is only evaluated twice (instead
of `count` times), so this is more performant than instantiating `count` copies
of a shape.

```python
f = capped_cylinder(-Z, Z, 0.5).circular_array(8, 4)
```

## Miscellaneous

### blend

<img width=128 align="right" src="docs/images/blend.png">

`blend(a, *bs, k=0.5)`

```python
f = sphere().blend(box())
```

### dilate

<img width=128 align="right" src="docs/images/dilate.png">

`dilate(other, r)`

```python
f = example.dilate(0.1)
```

### erode

<img width=128 align="right" src="docs/images/erode.png">

`erode(other, r)`

```python
f = example.erode(0.1)
```

### shell

<img width=128 align="right" src="docs/images/shell.png">

`shell(other, thickness)`

```python
f = sphere().shell(0.05) & plane(-Z)
```

### elongate

<img width=128 align="right" src="docs/images/elongate.png">

`elongate(other, size)`

```python
f = example.elongate((0.25, 0.5, 0.75))
```

### twist

<img width=128 align="right" src="docs/images/twist.png">

`twist(other, k)`

```python
f = box().twist(pi / 2)
```

### bend

<img width=128 align="right" src="docs/images/bend.png">

`bend(other, k)`

```python
f = box().bend(1)
```

### bend_linear

<img width=128 align="right" src="docs/images/bend_linear.png">

`bend_linear(other, p0, p1, v, e=ease.linear)`

```python
f = capsule(-Z * 2, Z * 2, 0.25).bend_linear(-Z, Z, X, ease.in_out_quad)
```

### bend_radial

<img width=128 align="right" src="docs/images/bend_radial.png">

`bend_radial(other, r0, r1, dz, e=ease.linear)`

```python
f = box((5, 5, 0.25)).bend_radial(1, 2, -1, ease.in_out_quad)
```

### transition_linear

<img width=128 align="right" src="docs/images/transition_linear.png">

`transition_linear(f0, f1, p0=-Z, p1=Z, e=ease.linear)`

```python
f = box().transition_linear(sphere(), e=ease.in_out_quad)
```

### transition_radial

<img width=128 align="right" src="docs/images/transition_radial.png">

`transition_radial(f0, f1, r0=0, r1=1, e=ease.linear)`

```python
f = box().transition_radial(sphere(), e=ease.in_out_quad)
```

### wrap_around

<img width=128 align="right" src="docs/images/wrap_around.png">

`wrap_around(other, x0, x1, r=None, e=ease.linear)`

```python
FONT = 'Arial'
TEXT = ' wrap_around ' * 3
w, h = measure_text(FONT, TEXT)
f = text(FONT, TEXT).extrude(0.1).orient(Y).wrap_around(-w / 2, w / 2)
```

## 2D to 3D Operations

### extrude

<img width=128 align="right" src="docs/images/extrude.png">

`extrude(other, h)`

```python
f = hexagon(1).extrude(1)
```

### extrude_to

<img width=128 align="right" src="docs/images/extrude_to.png">

`extrude_to(a, b, h, e=ease.linear)`

```python
f = rectangle(2).extrude_to(circle(1), 2, ease.in_out_quad)
```

### revolve

<img width=128 align="right" src="docs/images/revolve.png">

`revolve(other, offset=0)`

```python
f = hexagon(1).revolve(3)
```

## 3D to 2D Operations

### slice

<img width=128 align="right" src="docs/images/slice.png">

`slice(other)`

```python
f = example.translate((0, 0, 0.55)).slice().extrude(0.1)
```

## 2D Primitives

### circle
### line
### rectangle
### rounded_rectangle
### equilateral_triangle
### hexagon
### rounded_x
### polygon
