Stop using np.float (#598)

np.float has been a deprecated alias for float and is removed as of v1.24:
https://numpy.org/doc/stable/release/1.24.0-notes.html#expired-deprecations

Same for np.bool. Change all np.float->float and np.bool->bool

newsfragments/598.misc

@@ -0,0 +1 @@
+Stop using deprecated np.float

src/dxtbx/format/FormatCBFFull.py

@@ -203,7 +203,7 @@ def get_raw_data(self):
             array_size = mid, fast
         elif dtype == b"signed 64-bit real IEEE":
             array_string = cbf.get_realarray_as_string()
-            self._raw_data = flex.double(np.fromstring(array_string, np.float))
+            self._raw_data = flex.double(np.fromstring(array_string, float))
             parameters = cbf.get_realarrayparameters_wdims_fs()
             slow, mid, fast = (parameters[7], parameters[6], parameters[5])
             assert slow == 1  # sections not supported

src/dxtbx/format/FormatHDF5PAL.py

@@ -7,7 +7,6 @@
 import sys
 
 import h5py
-import numpy as np
 
 from scitbx.array_family import flex
 
@@ -54,7 +53,7 @@ def get_raw_data(self, index=None):
         data = self._h5_handle[self._run]["scan_dat/raymx_data"][index]
         # return flex.int(int) # this crashes!
         # return flex.int(data.astype(np.int)) # this doesn't work! (data is read incorrectly)
-        return flex.double(data.astype(np.float))
+        return flex.double(data.astype(float))
 
     def get_num_images(self):
         return len(self._h5_handle[self._run]["scan_dat/N"][()])

tests/nexus/test_build_dxtbx_models.py

@@ -722,6 +722,6 @@ def test_dataset_as_flex_unsupported():
     slices = ()
     with h5py.File(" ", "w", **pytest.h5_in_memory) as f:
         g = f.create_group("/foo")
-        d = g.create_dataset("bool", data=np.array([0, 1], dtype=np.bool))
+        d = g.create_dataset("bool", data=np.array([0, 1], dtype=bool))
         with pytest.raises(TypeError, match="Unsupported dtype .*"):
             dxtbx.nexus._dataset_as_flex(d, slices)