Fix Doctest Ci after jax bump

.github/workflows/documentation-tests.yml

@@ -55,8 +55,7 @@ jobs:
         run: |
           pip install --upgrade --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ pennylane-catalyst pennylane-lightning
           pip install -e .
-          # TODO: use 0.7.0 after updating all the documentation 
-          pip install sybil pytest "jax~=0.6.0" "jaxlib~=0.6.0" torch matplotlib pyzx
+          pip install sybil pytest "jax==0.7.0" "jaxlib==0.7.0" torch matplotlib pyzx
 
       - name: Print Dependencies
         run: | 

pennylane/ops/op_math/condition.py

@@ -39,7 +39,7 @@ def _add_abstract_shapes(f):
     >>> @qml.capture.FlatFn
     ... def f(x):
     ...     return x + 1
-    >>> jax.make_jaxpr(f, abstracted_axes={0:"a"})(jnp.zeros(4))
+    >>> jax.make_jaxpr(f, abstracted_axes={0:"a"})(jnp.zeros(4))  # doctest: +SKIP
     { lambda ; a:i64[] b:f64[a]. let
         c:f64[a] = broadcast_in_dim[
           broadcast_dimensions=()
@@ -48,7 +48,7 @@ def _add_abstract_shapes(f):
         ] 1.0:f64[] a
         d:f64[a] = add b c
       in (d,) }
-    >>> jax.make_jaxpr(_add_abstract_shapes(f), abstracted_axes={0:"a"})(jnp.zeros(4))
+    >>> jax.make_jaxpr(_add_abstract_shapes(f), abstracted_axes={0:"a"})(jnp.zeros(4))  # doctest: +SKIP
     { lambda ; a:i64[] b:f64[a]. let
         c:f64[a] = broadcast_in_dim[
           broadcast_dimensions=()
@@ -434,7 +434,7 @@ def qnode(x, y):
 
     In just-in-time (JIT) mode using the :func:`~.qjit` decorator,
 
-    .. code-block:: python
+    .. code-block::
 
         dev = qml.device("lightning.qubit", wires=1)
 
@@ -454,10 +454,8 @@ def ansatz_false():
         ansatz_true = circuit(1.4)
         ansatz_false = circuit(1.6)
 
-    >>> jnp.allclose(ansatz_true, jnp.cos(1.4))
-    Array(True, dtype=bool)
-    >>> jnp.allclose(ansatz_false, jnp.cos(1.6))
-    Array(True, dtype=bool)
+        assert jnp.allclose(ansatz_true, jnp.cos(1.4))
+        assert jnp.allclose(ansatz_false, jnp.cos(1.6))
 
     Additional 'else-if' clauses can also be included via the ``elif`` argument:
 

pennylane/transforms/core/transform.py

@@ -253,21 +253,21 @@ def circuit():
         >>> jax.make_jaxpr(circuit)()
         { lambda ; . let
             a:AbstractMeasurement(n_wires=None) = transform[
-            args_slice=slice(0, 0, None)
-            consts_slice=slice(0, 0, None)
+            args_slice=(0, 0, None)
+            consts_slice=(0, 0, None)
             inner_jaxpr={ lambda ; . let
-                _:AbstractOperator() = PauliX[n_wires=1] 0:i...[]
-                _:AbstractOperator() = S[n_wires=1] 1:i...[]
-                _:AbstractOperator() = PauliX[n_wires=1] 0:i...[]
-                b:AbstractOperator() = S[n_wires=1] 1:i...[]
+                _:AbstractOperator() = PauliX[n_wires=1] 0:i64[]
+                _:AbstractOperator() = S[n_wires=1] 1:i64[]
+                _:AbstractOperator() = PauliX[n_wires=1] 0:i64[]
+                b:AbstractOperator() = S[n_wires=1] 1:i64[]
                 _:AbstractOperator() = Adjoint b
-                c:AbstractOperator() = PauliZ[n_wires=1] 1:i...[]
+                c:AbstractOperator() = PauliZ[n_wires=1] 1:i64[]
                 d:AbstractMeasurement(n_wires=None) = expval_obs c
-                in (d,) }
-            targs_slice=slice(0, None, None)
-            tkwargs={}
+              in (d,) }
+            targs_slice=(0, None, None)
+            tkwargs=()
             transform=<transform: cancel_inverses>
-            ]
+          ]  
         in (a,) }