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Algorithm to generate uniformly sampled random vectors which sum to a given value, with constraints on each variate
pip install convolutionalfixedsum
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
convolutionalfixedsum publishes 46 wheels and 1 source archive for version 2.0.1. Wheel platform tags: macosx_11_0_arm64, manylinux_2_17_aarch64.manylinux2014_aarch64, manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686, manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64, musllinux_1_2_aarch64, musllinux_1_2_i686, musllinux_1_2_x86_64, win32, win_amd64.
No version-specific Python classifiers are declared.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .