From 958dadba6677132d7b316b145cb1c8c606f2d207 Mon Sep 17 00:00:00 2001 From: Martin Schubert <30735893+mfschubert@users.noreply.github.com> Date: Mon, 11 Sep 2023 14:24:47 -0700 Subject: [PATCH] Version updated from 0.0.0 to 0.1.0 --- .bumpversion.toml | 2 +- README.md | 2 +- pyproject.toml | 2 +- src/sparsejac/__init__.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.bumpversion.toml b/.bumpversion.toml index e18a871..88525cd 100644 --- a/.bumpversion.toml +++ b/.bumpversion.toml @@ -1,5 +1,5 @@ [tool.bumpversion] -current_version = "0.0.0" +current_version = "0.1.0" commit = true commit_args = "--no-verify" tag = true diff --git a/README.md b/README.md index 546e120..60b98e5 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# sparsejac 0.0.0 +# sparsejac 0.1.0 Efficient forward- and reverse-mode sparse Jacobians using Jax. Sparse Jacobians are frequently encountered in the simulation of physical systems. Jax tranformations `jacfwd` and `jacrev` make it easy to compute dense Jacobians, but these are wasteful when the Jacobian is sparse. `sparsejac` provides a function to more efficiently compute the Jacobian if its sparsity is known. It makes use of the recently-introduced `jax.experimental.sparse` module. diff --git a/pyproject.toml b/pyproject.toml index 4c11300..454ac4d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [project] name = "sparsejac" -version = "0.0.0" +version = "0.1.0" description = "Efficient forward- and reverse-mode sparse Jacobians using Jax." keywords = ["jax", "jacobian", "sparse"] readme = "README.md" diff --git a/src/sparsejac/__init__.py b/src/sparsejac/__init__.py index af47df2..05ef20e 100644 --- a/src/sparsejac/__init__.py +++ b/src/sparsejac/__init__.py @@ -1,6 +1,6 @@ """sparsejac - Efficient forward- and reverse-mode sparse Jacobians using Jax.""" -__version__ = "0.0.0" +__version__ = "0.1.0" __author__ = "Martin Schubert " from sparsejac.sparsejac import jacrev as jacrev