fiery.bounds

Modules:

Name	Description
`indexing`	Functions that wrap out-of-bound indices back in-bounds, according to some boundary condition.
`padding`	Reimplements `torch.nn.functional.pad` and `torch.roll` with a larger set of boundary conditions.
`realtransforms`	Implements the discrete sine and cosine transforms, variants I, II, III.
`types`	Defines names and aliases for different boundary conditions, as well as tools to convert between different naming conventions.

Functions:

Name	Description
`pad`	Pad a tensor
`roll`	Roll a tensor
`ensure_shape`	Pad/crop a tensor so that it has a given shape
`to_enum`	Convert any boundary type to `BoundType`
`to_int`	Convert any boundary type to `BoundType`-based integer values
`to_fourier`	Convert any boundary type to discrete transforms
`to_scipy`	Convert any boundary type to `scipy.ndimage` convention
`to_torch`	Convert any boundary type to `torch.grid_sample` convention
`dct`	One-dimensional Discrete Cosine Transform (DCT)
`dst`	One-dimensional Discrete Sine Transform (DST)
`idct`	One-dimensional Inverse Discrete Cosine Transform (DCT)
`idst`	One-dimensional Inverse Discrete Sine Transform (DST)
`dctn`	N-dimensional Discrete Cosine Transform (DCT)
`dstn`	N-dimensional Discrete Sine Transform (DST)
`idctn`	N-dimensional Inverse Discrete Cosine Transform (IDCT)
`idstn`	N-dimensional Inverse Discrete Sine Transform (IDST)

Classes:

Name	Description
`BoundType`	Enum type for bounds

Attributes:

Name	Type	Description
`BoundLike`		A type hint for any boundary type
`SequenceOrScalar`		A type hint for values or sequences of values