From d4d429160874ac2ed99ceb7b31ec0b2fd04124c5 Mon Sep 17 00:00:00 2001
From: Julien Schueller <schueller@phimeca.com>
Date: Thu, 18 Jan 2024 10:49:12 +0100
Subject: [PATCH] Doc: Fix rst

---
 README.rst          | 2 --
 doc/Makefile        | 2 +-
 doc/index.rst       | 2 ++
 otwrapy/_otwrapy.py | 4 ++--
 4 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/README.rst b/README.rst
index 3a3734d..5f31b75 100644
--- a/README.rst
+++ b/README.rst
@@ -1,8 +1,6 @@
 .. image:: https://github.com/openturns/otwrapy/actions/workflows/build.yml/badge.svg?branch=master
     :target: https://github.com/openturns/otwrapy/actions/workflows/build.yml
 
-.. currentmodule:: otwrapy
-
 `otwrapy` is a collection of tools that simplify the task of wrapping
 external codes in a Python environment as well as parallelizing it. It is built
 on top of `OpenTURNS <http://www.openturns.org>`_, with its users as the target
diff --git a/doc/Makefile b/doc/Makefile
index f37a4d5..87b73a2 100644
--- a/doc/Makefile
+++ b/doc/Makefile
@@ -2,7 +2,7 @@
 #
 
 # You can set these variables from the command line.
-SPHINXOPTS    =
+SPHINXOPTS    = -W
 SPHINXBUILD   = sphinx-build
 PAPER         =
 BUILDDIR      = ../build/
diff --git a/doc/index.rst b/doc/index.rst
index 834fb84..f1ce9f3 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -1,6 +1,8 @@
 Welcome to otwrapy's documentation!
 ===================================
 
+.. currentmodule:: otwrapy
+
 .. include:: ../README.rst
 
 
diff --git a/otwrapy/_otwrapy.py b/otwrapy/_otwrapy.py
index 816756c..0a1b0c2 100644
--- a/otwrapy/_otwrapy.py
+++ b/otwrapy/_otwrapy.py
@@ -555,8 +555,8 @@ class Parallelizer(ot.OpenTURNSPythonFunction):
     dask_args : dict (Optional)
         Dictionnary parameters when using 'dask'. It must follow this form:
         {'scheduler': ip adress or host name,
-         'workers': {'ip adress or host name': n_cpus},
-         'remote_python': {'ip adress or host name': path_to_bin_python}}.
+        'workers': {'ip adress or host name': n_cpus},
+        'remote_python': {'ip adress or host name': path_to_bin_python}}.
         The parallelization uses SSHCluster class of dask distributed with 1 thread per worker.
         When dask is chosen, the argument n_cpus is not used. The progress bar is enabled if
         verbosity != 0.