DOC: Unwrap long signature lines

[skip ci]

3 files changed, 20 insertions, 9 deletions

diff --git a/doc/source/user/c-info.beyond-basics.rst b/doc/source/user/c-info.beyond-basics.rst
index e91f23182..1f19c8405 100644
--- a/doc/source/user/c-info.beyond-basics.rst
+++ b/doc/source/user/c-info.beyond-basics.rst
@@ -284,7 +284,8 @@ functions for each conversion you want to support and then registering
 these functions with the data-type descriptor. A low-level casting
 function has the signature.
 
-.. c:function:: void castfunc( void* from, void* to, npy_intp n, void* fromarr, void* toarr)
+.. c:function:: void castfunc( \
+        void* from, void* to, npy_intp n, void* fromarr, void* toarr)
 
     Cast ``n`` elements ``from`` one type ``to`` another. The data to
     cast from is in a contiguous, correctly-swapped and aligned chunk
@@ -357,7 +358,9 @@ previously created. Then you call :c:func:`PyUFunc_RegisterLoopForType`
 this function is ``0`` if the process was successful and ``-1`` with
 an error condition set if it was not successful.
 
-.. c:function:: int PyUFunc_RegisterLoopForType( PyUFuncObject* ufunc, int usertype, PyUFuncGenericFunction function, int* arg_types, void* data)
+.. c:function:: int PyUFunc_RegisterLoopForType( \
+        PyUFuncObject* ufunc, int usertype, PyUFuncGenericFunction function, \
+        int* arg_types, void* data)
 
     *ufunc*
 
diff --git a/doc/source/user/c-info.how-to-extend.rst b/doc/source/user/c-info.how-to-extend.rst
index 6b7f95a84..a8b3de34f 100644
--- a/doc/source/user/c-info.how-to-extend.rst
+++ b/doc/source/user/c-info.how-to-extend.rst
@@ -90,11 +90,14 @@ that do not require a separate extraction of the module dictionary.
 These are documented in the Python documentation, but repeated here
 for convenience:
 
-.. c:function:: int PyModule_AddObject(PyObject* module, char* name, PyObject* value)
+.. c:function:: int PyModule_AddObject( \
+        PyObject* module, char* name, PyObject* value)
 
-.. c:function:: int PyModule_AddIntConstant(PyObject* module, char* name, long value)
+.. c:function:: int PyModule_AddIntConstant( \
+        PyObject* module, char* name, long value)
 
-.. c:function:: int PyModule_AddStringConstant(PyObject* module, char* name, char* value)
+.. c:function:: int PyModule_AddStringConstant( \
+        PyObject* module, char* name, char* value)
 
     All three of these functions require the *module* object (the
     return value of Py_InitModule). The *name* is a string that
@@ -359,7 +362,8 @@ specific builtin data-type ( *e.g.* float), while specifying a
 particular set of requirements ( *e.g.* contiguous, aligned, and
 writeable). The syntax is
 
-.. c:function:: PyObject *PyArray_FROM_OTF(PyObject* obj, int typenum, int requirements)
+.. c:function:: PyObject *PyArray_FROM_OTF( \
+        PyObject* obj, int typenum, int requirements)
 
     Return an ndarray from any Python object, *obj*, that can be
     converted to an array. The number of dimensions in the returned
@@ -529,7 +533,8 @@ simpler forms exist that are easier to use.
     memory for the array can be set to zero if desired using
     :c:func:`PyArray_FILLWBYTE` (return_object, 0).
 
-.. c:function:: PyObject *PyArray_SimpleNewFromData( int nd, npy_intp* dims, int typenum, void* data)
+.. c:function:: PyObject *PyArray_SimpleNewFromData( \
+        int nd, npy_intp* dims, int typenum, void* data)
 
     Sometimes, you want to wrap memory allocated elsewhere into an
     ndarray object for downstream use. This routine makes it
diff --git a/doc/source/user/c-info.ufunc-tutorial.rst b/doc/source/user/c-info.ufunc-tutorial.rst
index 9d957528d..59e3dc6dc 100644
--- a/doc/source/user/c-info.ufunc-tutorial.rst
+++ b/doc/source/user/c-info.ufunc-tutorial.rst
@@ -1058,7 +1058,9 @@ What follows is the full specification of PyUFunc_FromFuncAndData, which
 automatically generates a ufunc from a C function with the correct signature.
 
 
-.. c:function:: PyObject *PyUFunc_FromFuncAndData( PyUFuncGenericFunction* func, void** data, char* types, int ntypes, int nin, int nout, int identity, char* name, char* doc, int unused)
+.. c:function:: PyObject *PyUFunc_FromFuncAndData( \
+        PyUFuncGenericFunction* func, void** data, char* types, int ntypes, \
+        int nin, int nout, int identity, char* name, char* doc, int unused)
 
     *func*
 
@@ -1067,7 +1069,8 @@ automatically generates a ufunc from a C function with the correct signature.
         ``PyUFuncGenericFunction`` function. This function has the following
         signature. An example of a valid 1d loop function is also given.
 
-    .. c:function:: void loop1d(char** args, npy_intp* dimensions, npy_intp* steps, void* data)
+    .. c:function:: void loop1d( \
+            char** args, npy_intp* dimensions, npy_intp* steps, void* data)
 
         *args*