numpy v2 updates from ruff

pyproject.toml

@@ -23,7 +23,7 @@ max_line_length = 79
 [tool.ruff]
 line-length = 79
 target-version = "py38"
-ignore = ["E741"]
+lint.ignore = ["E741"]
 
 [tool.black]
 line-length = 79

quimb/gen/rand.py

@@ -283,11 +283,11 @@ def rand_rademacher(shape, scale=1, loc=0.0, dtype=float):
     """ """
     if np.issubdtype(dtype, np.floating):
         entries = loc + np.array([1.0, -1.0]) * scale
-        need2convert = dtype not in (float, np.float_)
+        need2convert = dtype not in (float, np.float64)
 
     elif np.issubdtype(dtype, np.complexfloating):
         entries = loc + np.array([1.0, -1.0, 1.0j, -1.0j]) * scale
-        need2convert = dtype not in (complex, np.complex_)
+        need2convert = dtype not in (complex, np.complex128)
 
     else:
         raise TypeError(

quimb/linalg/slepc_linalg.py

@@ -83,7 +83,7 @@ def get_slepc(comm=None):
 class PetscLinearOperatorContext:
     def __init__(self, lo):
         self.lo = lo
-        self.real = lo.dtype in (float, np.float_)
+        self.real = lo.dtype in (float, np.float64)
 
     def mult(self, _, x, y):
         y[:] = self.lo.matvec(x)

tests/test_core.py

@@ -109,7 +109,7 @@ def test_sparse_convert_to_dop(self):
     )
     @mark.parametrize("format_in", stypes)
     @mark.parametrize("format_out", (None,) + stypes)
-    @mark.parametrize("dtype", [float, complex, np.float_, np.complex_])
+    @mark.parametrize("dtype", [float, complex, np.float64, np.complex128])
     def test_reshape_sparse(
         self, qtype, shape, out, format_in, format_out, dtype
     ):

tests/test_tensor/test_tensor_core.py

@@ -613,7 +613,7 @@ def test_direct_product_triple(self):
 
     @pytest.mark.parametrize(
         "dtype",
-        [float, complex, np.complex128, np.float_, np.float32, "raise"],
+        [float, complex, np.complex128, np.float64, np.float32, "raise"],
     )
     def test_rand_tensor(self, dtype):
         if dtype == "raise":