| 3 | | def generate_tiling(dimension: int, |
| 4 | | spatial_axes: list[int], |
| 5 | | band_count: int, |
| 6 | | cell_size: int, |
| 7 | | chunk_size: list[int] = None) |
| | 3 | def generate_tiling(number_of_axes: int, |
| | 4 | spatial_axes_grid_indices: list[int], |
| | 5 | band_base_type_sizes: list[int], |
| | 6 | chunk_sizes_from_file: list[int] = None): |
| | 7 | """ |
| | 8 | Generate a rasdaman aligned tiling scheme based on the provided parameters before importing a created coverage |
| | 9 | |
| | 10 | @param number_of_axes the coverage's number of axes, e.g. 3 (time, lat, long axes) |
| | 11 | @param spatial_axes_grid_indices a list of grid indices (0-based) of the spatial X/Y axes (e.g. Long, Lat axes in TIFF file); |
| | 12 | note: set to None if coverage has no X/Y spatial axes |
| | 13 | @param band_base_type_sizes a list of sizes in bytes of the datacube bands |
| | 14 | @param chunk_sizes_from_file an optional chunk specification read from |
| | 15 | one of the input files; when the input file is chunked, e.g. netcdf or tiff (note: set to None if file is GRIB format), |
| | 16 | this parameter should be set as a list of sizes for each axis. If a tiff file |
| | 17 | has 512x512 Block size, this parameter would be a list [512,512]. |
| | 18 | @return if the tiling can be determined, a string specifying the tiling, e.g. |
| | 19 | "aligned [0:0,0:511,0:511] tile size 4194304". If the tiling cannot be |
| | 20 | determined, None is returned. |
| | 21 | """ |
| | 22 | ''' |
| | 23 | TODO: This function should be filled in next release to generate proper tiling if possible |
| | 24 | ''' |
| | 25 | return None |
