Metadata-Version: 2.1
Name: regOct
Version: 1.1.3
Summary: A module implementing octrees for python
Home-page: https://github.com/runoverPy/regOct
Author: runover
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.0
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3, <4
Description-Content-Type: text/markdown

# regOct
an implementation of an ordered octree system

## Design principles
1. Provide an effective, comprehensive storage medium for cubic, three-dimensional data.
2. State checks within the octree are relatively processor unintensive.
3. The Octree is a self-contained system. All information regarding the octree is stored in the file.



# Use
## 1. General use
Every octree has an integer "level", which defines its size. For a given level, the octree takes the form of a cube with ranges of 0 - 2**level.
```python 
regoct.Octree(level) -> Octree

# setting a value:
octree[(x, y, z, level)] = new_value
# level may be omitted if it is 0:
octree[(x, y, z)] = new_value

# getting a value:
value = octree[(x, y, z)]
```

## 2. Basic octree IO
In case it is necessary to preserve an octree for later use, it may be saved and loaded to the filesystem via as shown below:
```python
import regoct

original_octree = Octree(2)
# load information into octree

file_path = "file_path.onc"
regoct.save(octree, file_path)
loaded_octree = regoct.load(file_path)

assert original_octree == loaded_octree
```
This however has a major caveat: the octrees serialized this way may only have internal values of python's base data types:
```python
None(wip), Ellipsis(wip), bool(wip), int, float, complex, str, list, dict, set 
```
This is addressed followingly.
## 3. Advanced octree IO

regoct provides a API to modify the serialization process. This is useful for implementing routines for class instances.

The ABC regoct.Interface supplies the tools for implementing the API. It requires the methods `to_file(obj, saver: "regoct.SavingStream")` and `from_file(cls, loader: "regoct.LoadingStream")`, where the params **saver** and **loader** provide access to the data using a set of methods. These methods in loader and saver mirror each other and are as follows:

| regoct.SavingStream | regoct.LoadingStream | description |
| ------------------- | -------------------- | ----------- |
| saver.convert(value) | loader.convert() -> any | dynamic conversion |
| saver.i8(value) | loader.i8() -> int | 8-bit signed integer |
| saver.i16(value) | loader.i16() -> int | 16-bit signed integer |
| saver.i32(value) | loader.i32() -> int | 32-bit signed integer |
| saver.i64(value) | loader.i64() -> int | 64-bit signed integer |
| saver.u8(value) | loader.u8() -> int | 8-bit unsigned integer | 
| saver.u16(value) | loader.u16() -> int | 16-bit unsigned integer |
| saver.u32(value) | loader.u32() -> int | 32-bit unsigned integer |
| saver.u64(value) | loader.u64() -> int | 64-bit unsigned integer |
| saver.f32(value) | loader.f32() -> float | 32-bit float |
| saver.f64(value) | loader.f64() -> float | 64-bit float |
| saver.c64(value) | loader.c64() -> complex | 2x 32-bit float complex number |
| saver.c128(value) | loader.c128() -> complex | 2x 64-bit float complex number |
| saver.Str(value) | loader.Str() -> str | variable-length utf-8 string |
| saver.List(value) | loader.List() -> list | variable-length dynamic-type list |
| saver.Dict(value) | loader.Dict() -> dict | variable-length dynamic-type dict | 
| saver.Set(value) | loader.Set() -> set | variable-length dynamic-type set |

Be aware that the order in which these methods are called in the to_file and from_file methods should be equal to eachother.

```python 
import regoct
from regoct import Interface, SavingStream, LoadingStream

class DataPacket(Interface):
    def __init__(self, *args, **kwds):...

    def to_file(obj, saver: SavingStream):...

    def from_file(cls, loader: LoadingStream):...


original_octree = regoct.Octree(2)
# load information into octree

file_path = "file_path.onc"
DataPacket.save(octree, file_path)
loaded_octree = DataPacket.load(file_path)

assert original_octree == loaded_octree
``` 

## Visualisation:
The module has an interactable viewer to render octrees in 3d. 
Currently, this is done with the statement `regoct.Display(octree).main()`, but since this is very verbose, expect it to change.


## And now for something completely different
![**no one expects the spanish inquisition**](https://static.wikia.nocookie.net/montypython/images/f/ff/Spanish_Inquisition.jpg/revision/latest?cb=20180629171423)


