Change occurrences of np.float_ to np.float64 as it has been removed in numpy>2.0.0

abydos/distance/_aline.py

@@ -22,7 +22,7 @@
 from copy import deepcopy
 from typing import Any, Callable, Dict, List, Tuple, Union, cast
 
-from numpy import float_, inf, zeros
+from numpy import float64, inf, zeros
 
 from ._distance import _Distance
 
@@ -1593,7 +1593,7 @@ def _record(score: float, out: List[Tuple[str, str]]) -> None:
 
         tar_len = len(tar_tok)
 
-        s_mat = zeros((src_len + 1, tar_len + 1), dtype=float_)
+        s_mat = zeros((src_len + 1, tar_len + 1), dtype=float64)
 
         if self._mode == 'global':
             for i in range(1, src_len + 1):

abydos/distance/_bisim.py

@@ -21,7 +21,7 @@
 
 from typing import Any, cast
 
-from numpy import float_ as np_float
+from numpy import float64 as np_float
 from numpy import zeros as np_zeros
 
 from ._distance import _Distance

abydos/distance/_discounted_levenshtein.py

@@ -175,7 +175,7 @@ def _alignment_matrix(
         else:
             discount_from = [1, 1]
 
-        d_mat = np.zeros((src_len + 1, tar_len + 1), dtype=np.float_)
+        d_mat = np.zeros((src_len + 1, tar_len + 1), dtype=np.float64)
         if backtrace:
             trace_mat = np.zeros((src_len + 1, tar_len + 1), dtype=np.int8)
         for i in range(1, src_len + 1):

abydos/distance/_editex.py

@@ -23,7 +23,7 @@
 from typing import Any, Tuple, cast
 from unicodedata import normalize as unicode_normalize
 
-from numpy import float_ as np_float
+from numpy import float64 as np_float
 from numpy import zeros as np_zeros
 
 from ._distance import _Distance

abydos/distance/_flexmetric.py

@@ -32,7 +32,7 @@
     cast,
 )
 
-from numpy import float_ as np_float
+from numpy import float64 as np_float
 from numpy import zeros as np_zeros
 
 from ._distance import _Distance

abydos/distance/_gotoh.py

@@ -20,7 +20,7 @@
 """
 from typing import Any, Callable, Optional, cast
 
-from numpy import float_ as np_float
+from numpy import float64 as np_float
 from numpy import zeros as np_zeros
 
 from ._needleman_wunsch import NeedlemanWunsch

abydos/distance/_levenshtein.py

@@ -138,7 +138,7 @@ def _alignment_matrix(
         tar_len = len(tar)
         max_len = max(src_len, tar_len)
 
-        d_mat = np.zeros((src_len + 1, tar_len + 1), dtype=np.float_)
+        d_mat = np.zeros((src_len + 1, tar_len + 1), dtype=np.float64)
         if backtrace:
             trace_mat = np.zeros((src_len + 1, tar_len + 1), dtype=np.int8)
         for i in range(src_len + 1):

abydos/distance/_meta_levenshtein.py

@@ -31,7 +31,7 @@
     cast,
 )
 
-from numpy import float_ as np_float
+from numpy import float64 as np_float
 from numpy import zeros as np_zeros
 
 from ._distance import _Distance

abydos/distance/_needleman_wunsch.py

@@ -21,7 +21,7 @@
 
 from typing import Any, Callable, Dict, Optional, Tuple, cast
 
-from numpy import float_ as np_float
+from numpy import float64 as np_float
 from numpy import zeros as np_zeros
 
 from ._distance import _Distance

abydos/distance/_phonetic_edit_distance.py

@@ -147,7 +147,7 @@ def _alignment_matrix(
         src_list = ipa_to_features(src)
         tar_list = ipa_to_features(tar)
 
-        d_mat = np.zeros((src_len + 1, tar_len + 1), dtype=np.float_)
+        d_mat = np.zeros((src_len + 1, tar_len + 1), dtype=np.float64)
         if backtrace:
             trace_mat = np.zeros((src_len + 1, tar_len + 1), dtype=np.int8)
         for i in range(1, src_len + 1):

abydos/distance/_smith_waterman.py

@@ -21,7 +21,7 @@
 
 from typing import Any, Callable, Optional, cast
 
-from numpy import float_ as np_float
+from numpy import float64 as np_float
 from numpy import zeros as np_zeros
 
 from ._needleman_wunsch import NeedlemanWunsch

abydos/distance/_typo.py

@@ -23,7 +23,7 @@
 from math import log
 from typing import Any, Dict, Tuple, cast
 
-from numpy import float_ as np_float
+from numpy import float64 as np_float
 from numpy import zeros as np_zeros
 
 from ._distance import _Distance