Update probnum modifications for linpde-gp integration

Author: bydeng01

docs/source/development/implementing_a_probnum_method.ipynb

@@ -728,7 +728,7 @@
     "# %load -s function_evaluation quadopt_example/observation_operators\n",
     "def function_evaluation(\n",
     "    fun: Callable[[FloatLike], FloatLike], action: FloatLike\n",
-    ") -> np.float_:\n",
+    ") -> np.float64:\n",
     "    \"\"\"Observe a (noisy) function evaluation of the quadratic objective.\n",
     "\n",
     "    Parameters\n",

docs/source/development/quadopt_example/observation_operators.py

@@ -10,7 +10,7 @@
 
 def function_evaluation(
     fun: Callable[[FloatLike], FloatLike], action: FloatLike
-) -> np.float_:
+) -> np.float64:
     """Observe a (noisy) function evaluation of the quadratic objective.
 
     Parameters

docs/source/tutorials/linops/linear_operators_quickstart.ipynb

@@ -380,7 +380,7 @@
     "    return np.roll(v, 1)\n",
     "\n",
     "n = 5\n",
-    "P_op = LambdaLinearOperator(shape=(n, n), dtype=np.float_, matmul=mv)\n",
+    "P_op = LambdaLinearOperator(shape=(n, n), dtype=np.float64, matmul=mv)\n",
     "x = np.arange(0., n, 1)\n",
     "\n",
     "P_op"
@@ -512,7 +512,7 @@
     "def mv(v):\n",
     "    return v[:n-1]\n",
     "\n",
-    "Pr = LambdaLinearOperator(shape=(n-1, n), dtype=np.float_, matmul=mv)\n",
+    "Pr = LambdaLinearOperator(shape=(n-1, n), dtype=np.float64, matmul=mv)\n",
     "\n",
     "# Apply the operator to the 3D normal random variable\n",
     "rv_projected = Pr @ rv"

src/probnum/linops/_linear_operator.py

@@ -1308,7 +1308,7 @@ class LambdaLinearOperator(  # pylint: disable=too-many-instance-attributes
     ... def mv(v):
     ...     return np.array([2 * v[0] - v[1], 3 * v[1]])
 
-    >>> A = LambdaLinearOperator(shape=(2, 2), dtype=np.float_, matmul=mv)
+    >>> A = LambdaLinearOperator(shape=(2, 2), dtype=np.float64, matmul=mv)
     >>> A
     <LambdaLinearOperator with shape=(2, 2) and dtype=float64>