Mango MPI distributed image processing package. The mango module imports many of it’s functions and classes from the mango.core module.
| Dds | Mango distributed array (DistributedDataStruct) python API. |
| mtype(name) | Image type for mango Dds distributed array objects. |
| DdsNonHaloSubDomain | Non-halo-sub-region data associated with MPI domain decomposition of a Dds object. |
| DdsHaloSubDomain | Halo-sub-region data associated with MPI domain decomposition of a Dds object. |
| DdsMpiInfo | MPI data associated with sub-domain of a Dds object. |
| DdsMetaData | Meta-data associated with a Dds object. |
| empty(shape[, dtype, mtype, halo, mpidims, ...]) | Creates an uninitialised Dds object of specified global size. |
| empty_like(dds[, shape, dtype, mtype, halo, ...]) | Create a new Dds object of same type/shape/MPI-layout as a specified Dds object. |
| zeros(shape[, dtype, mtype, halo, mpidims, ...]) | Creates an zero-initialised Dds object of specified global size. |
| zeros_like(dds[, shape, dtype, mtype, halo, ...]) | Create a new Dds object of same type/shape/MPI-layout as a specified Dds object. |
| ones(shape[, dtype, mtype, halo, mpidims, ...]) | Creates an one-initialised Dds object of specified global size. |
| ones_like(dds[, shape, dtype, mtype, halo, ...]) | Create a new Dds object of same type/shape/MPI-layout as a specified Dds object. |
| copy(dds[, shape, dtype, mtype, halo, ...]) | Copy-create a Dds object from an existing Dds object. |
These reduction operations use MPI all-reduce operations to calculate reductions over all non-halo parts of the sub-domains.
| minmax(input) | Returns Dds element-wise (min, max) pair. |
| sum(input[, dtype]) | Returns sum of all non-masked Dds elements. |
| sum2(input[, dtype]) | Returns sum of all non-masked Dds elements-squared. |
| count_equal_to(( (object)input, ...) | Count the number of non-masked voxels which have intensity equal to val. |
| count_not_equal_to(( (object)input, ...) | Count the number of non-masked voxels which have intensity not-equal to val. |
| count_less_than(( (object)input, ...) | Count the number of non-masked voxels which have intensity strictly less than val. |
| count_masked(( (object)input) -> object :) | Count the number of voxels which have the mask value. |
| count_non_masked(( (object)input) -> object :) | Count the number of voxels which do not have the mask value. |
| unique(input) | Returns sorted list of unique values in the specified input Dds array. |
| itemfreq(input) | Like scipy.stats.itemfreq(), returns a frequency count for the unique element values of the input array. |
| have_same_subd_decomp(dds0, dds1) | Returns True if pairs of non-halo-sub-domains on all processes have the same (global) non-halo-sub-domain origin index and same non-halo-sub-domain shape. |
| isDds(obj) | Returns whether specified obj is an instance of a mango.Dds. |
| setLoggingVerbosityLevel(...) | Sets the mango C++ filter logging level. |
| getDdsMtypeList() | Returns the list of possible mango.mtype objects for the mango.Dds mtype attribute. |
| gather(( (object)input [, ...) | Gathers MPI distributed sub-domain arrays to one (all) MPI process (processes). |
| copy_masked(src, dst[, srcval, srcmask, dstmask]) | Copies masked elements from the src array into the dst array. |
| copy_non_masked(src, dst[, srcval, srcmask]) | Copies non-masked elements from the src array into the dst array. |
| map_element_values(input, ufunc[, mtype, ...]) | Maps each element value if input array to new value calculated by ufunc. |
See Miscellaneous Attributes from the mango.core module.