openworld_radio_twin.simulation.radio_map#

Functions

`build_coverage_grid`(request, data, buildings)
`build_coverage_products`(request, data, buildings)	Create the north-up JSON view from the same canonical arrays used for export.
`finite_max`(values, axis)	Reduce finite values while preserving an all-missing cell as NaN.
`normalize_solver_arrays`(path_gain, rss, ...)	Normalize a solver result to float32 and south-to-north row order.

Classes

`CoverageProducts`(coverage, building_mask, ...)
`MetricDefinition`(label, unit, ...)
`RadioMapData`(path_gain, rss, sinr, ...[, ...])	Canonical solver products using the reference package's array contract.

class openworld_radio_twin.simulation.radio_map.MetricDefinition(label, unit, logarithmic_offset_db)[source]#

Bases: object

label: str#

unit: str#

logarithmic_offset_db: float#

class openworld_radio_twin.simulation.radio_map.CoverageProducts(coverage, building_mask, building_heights_m)[source]#

Bases: object

coverage: CoverageGrid#

building_mask: ndarray#

building_heights_m: ndarray#

openworld_radio_twin.simulation.radio_map.finite_max(values, axis)[source]#

Reduce finite values while preserving an all-missing cell as NaN.

Return type:: ndarray

class openworld_radio_twin.simulation.radio_map.RadioMapData(path_gain, rss, sinr, association, cell_centers, sample_layout='cell_average')[source]#

Bases: object

Canonical solver products using the reference package’s array contract.

All metric arrays are linear float32 values with shape (n_tx, rows, columns). Row zero is the south edge so the arrays can be plotted with origin="lower", exactly as in reference/package. Coordinates are local ENU meters.