cigvis.utils.slice_provider module

class cigvis.utils.slice_provider.SliceProvider(source, *, preproc: Callable | None = None, forcefp32: bool = False, display_range: Dict[str, Tuple[int, int]] | None = None, transpose_line_first: bool = True, transpose_rgb: bool = True)

Bases: object

Axis-aware 2D slice reader for numpy-like 3D/4D data sources.

source can be a single volume or a dict such as {'x': iline_source, 'y': xline_source, 'z': time_source}. A source may also declare its physical axis order, for example {'data': time_source, 'axes': ('z', 'y', 'x')} for data stored as (nt, nx, ni). Sources must expose numpy-like shape metadata and support slicing. ndim is used when available and inferred from shape otherwise. display_range is pushed into the source index so lazy/chunked sources only read the visible part of a slice.

property clim_source

get_shape2d(axis: str) → Tuple[int, int]

set_source(source, *, display_range: Dict[str, Tuple[int, int]] | None = None, validate: bool = True)

set_volume(new_volume, *, validate: bool = True, **_kwargs)

slice2d(axis: str, pos: int)

source_for_axis(axis: str)

cigvis.utils.slice_provider.clim_source(source_or_sources)

cigvis.utils.slice_provider.is_axis_source_dict(value) → bool

cigvis.utils.slice_provider.is_source_spec(value) → bool

Return True for a single source spec such as {‘data’: arr, ‘axes’: …}.

cigvis.utils.slice_provider.normalize_axis_key(axis: str, *, allow_default: bool = False) → str

cigvis.utils.slice_provider.normalize_axis_sources(sources) → Tuple[Dict[str, Any], Any]

cigvis.utils.slice_provider.normalize_display_range(display_range, shape) → Dict[str, Tuple[int, int]]