Miscellaneous documentation fixes for source links and pin Ford to latest version.

Author: jatkinson1000

pages/usage/tensor.md

@@ -88,15 +88,15 @@ the other methods (simply drop the preceding `torch_tensor_`).
 #### Deallocation
 
 We provide a subroutine for deallocating the memory associated with a
-[[ftorch(module):torch_tensor(type)]] object:
-[[ftorch(module):torch_tensor_delete(subroutine)]]. An interface
+[[ftorch_tensor(module):torch_tensor(type)]] object:
+[[ftorch_tensor(module):torch_tensor_delete(subroutine)]]. An interface
 [[ftorch(module):torch_delete(interface)]] is provided such that this can also
 be applied to arrays of tensors.
 
 Manually deallocating a tensor that you declared and constructed in your code is
 actually optional. If the tensor was declared in a subroutine then
-[[ftorch(module):torch_tensor_delete(subroutine)]] will get called as the
-finalizer of [[ftorch(module):torch_tensor(type)]] when it goes out of scope. If
+[[ftorch_tensor(module):torch_tensor_delete(subroutine)]] will get called as the
+finalizer of [[ftorch_tensor(module):torch_tensor(type)]] when it goes out of scope. If
 the tensor was declared in a program then the finalizer won't get called, but
 this is not considered to be an issue, in the same way that in Fortran it
 doesn't matter if allocated arrays aren't deallocated at the end of the program.

pages/usage/troubleshooting.md

@@ -134,9 +134,9 @@ get compiler warnings of the form:
 Warning: The structure constructor at (1) has been finalized. This feature was removed by f08/0011. Use -std=f2018 or -std=gnu to eliminate the finalization.
 ```
 These warn that the structure finalizer of the
-[[ftorch(module):torch_tensor(type)]] derived type is triggered when a tensor
+[[ftorch_tensor(module):torch_tensor(type)]] derived type is triggered when a tensor
 goes out of scope, despite the fact that this feature was removed from the 2008
-standard. That is, the [[ftorch(module):torch_tensor_delete(subroutine)]]
+standard. That is, the [[ftorch_tensor(module):torch_tensor_delete(subroutine)]]
 subroutine is called so that the associated memory is automatically freed.
 Firstly, this is the behaviour that we want so we should not be too concerned.
 Secondly, structure finalizers are not used anywhere in FTorch, so we believe
@@ -158,8 +158,8 @@ raised.
 @warning
 The code snippet above is **not** the intended way to create a tensor. The
 intended way is to use the provided API procedures such as
-[[ftorch(module):torch_tensor_from_array(interface)]] or
-[[ftorch(module):torch_tensor_ones(subroutine)]]. The code snippet above is
+[[ftorch_tensor(module):torch_tensor_from_array(interface)]] or
+[[ftorch_tensor(module):torch_tensor_ones(subroutine)]]. The code snippet above is
 only intended to illustrate the use of the structure constructor and the
 associated warning.
 @endwarning

requirements-dev.txt

@@ -1,7 +1,7 @@
 clang-format==19.1.3
 clang-tidy==19.1.0
 cmakelang
-ford
+ford>=7.0.13
 fortitude-lint==0.7.0
 fypp==3.2
 ruff==0.7.3