Doc fixes.

bluescarni · Jun 7, 2024 · 4cc9db4 · 4cc9db4
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diff --git a/doc/changelog.rst b/doc/changelog.rst
@@ -199,10 +199,10 @@ New
 - Implement an in-memory cache for ``llvm_state``. The cache is used
   to avoid re-optimising and re-compiling LLVM code which has
   already been optimised and compiled during the program execution
-  (`#132 <https://github.com/bluescarni/heyoka.py/pull/132>`__).
+  (`#134 <https://github.com/bluescarni/heyoka.py/pull/134>`__).
 - It is now possible to get the LLVM bitcode of
   an ``llvm_state``
-  (`#132 <https://github.com/bluescarni/heyoka.py/pull/132>`__).
+  (`#134 <https://github.com/bluescarni/heyoka.py/pull/134>`__).
 
 1.0.0 (2023-08-11)
 ------------------

diff --git a/doc/notebooks/compiled_functions.ipynb b/doc/notebooks/compiled_functions.ipynb
@@ -640,7 +640,7 @@
     "\n",
     "### JAX\n",
     "\n",
-    "As a last benchmark, we will be performing the same evaluation with [JAX](https://jax.readthedocs.io/en/latest/index.html). Similarly to heyoka.py, JAX offers the possibility to [JIT compile Python functions](https://jax.readthedocs.io/en/latest/notebooks/quickstart.html#using-jit-to-speed-up-functions), so we expect similar performance to heyoka.py. Note that, in order to perform a fair comparison, for the execution of this notebook we [enabled 64-bit floats in JAX](https://jax.readthedocs.io/en/latest/notebooks/Common_Gotchas_in_JAX.html#double-64bit-precision) and we used JAX's CPU backend [forcing a single thread of execution](https://github.com/google/jax/issues/1539).\n",
+    "As a last benchmark, we will be performing the same evaluation with [JAX](https://jax.readthedocs.io/en/latest/index.html). Similarly to heyoka.py, JAX offers the possibility to [JIT compile Python functions](https://jax.readthedocs.io/en/latest/quickstart.html#just-in-time-compilation-with-jax-jit), so we expect similar performance to heyoka.py. Note that, in order to perform a fair comparison, for the execution of this notebook we [enabled 64-bit floats in JAX](https://jax.readthedocs.io/en/latest/notebooks/Common_Gotchas_in_JAX.html#double-64bit-precision) and we used JAX's CPU backend [forcing a single thread of execution](https://github.com/google/jax/issues/1539).\n",
     "\n",
     "Let us see the jax code:"
    ]