Adding copy_if_needed argument.

astromodels/functions/function.py

@@ -24,6 +24,7 @@
 from astromodels.utils.logging import setup_logger
 from astromodels.utils.pretty_list import dict_to_list
 from astromodels.utils.table import dict_to_table
+from astromodels.utils.file_utils import copy_if_needed
 from yaml.reader import ReaderError
 
 log = setup_logger(__name__)
@@ -1479,7 +1480,7 @@ def __call__(self, x):
 
             # Transform the input to an array of floats. If x is a single number, this will be an array of size 1
 
-            new_input = np.array(x, dtype=float, ndmin=1, copy=None)
+            new_input = np.array(x, dtype=float, ndmin=1, copy=copy_if_needed)
 
             # Compute the function
 
@@ -1705,8 +1706,8 @@ def __call__(self, x, y, *args, **kwargs):
 
             # Transform the input to an array of floats
 
-            new_x = np.array(x, dtype=float, ndmin=1, copy=None)
-            new_y = np.array(y, dtype=float, ndmin=1, copy=None)
+            new_x = np.array(x, dtype=float, ndmin=1, copy=copy_if_needed)
+            new_y = np.array(y, dtype=float, ndmin=1, copy=copy_if_needed)
 
             # Compute the function
 
@@ -1876,9 +1877,9 @@ def __call__(self, x, y, z):
             # This is either a single number or a list
             # Transform the input to an array of floats
 
-            new_x = np.array(x, dtype=float, ndmin=1, copy=None)
-            new_y = np.array(y, dtype=float, ndmin=1, copy=None)
-            new_z = np.array(z, dtype=float, ndmin=1, copy=None)
+            new_x = np.array(x, dtype=float, ndmin=1, copy=copy_if_needed)
+            new_y = np.array(y, dtype=float, ndmin=1, copy=copy_if_needed)
+            new_z = np.array(z, dtype=float, ndmin=1, copy=copy_if_needed)
 
             # Compute the function
 

astromodels/functions/functions_1D/extinction.py

@@ -9,6 +9,7 @@
 
 from astromodels.functions.function import Function1D, FunctionMeta
 from astromodels.utils.logging import setup_logger
+from astromodels.utils.file_utils import copy_if_needed
 
 log = setup_logger(__name__)
 
@@ -89,7 +90,7 @@ def evaluate(self, x, e_bmv, rv, redshift):
 
         if isinstance(x, astropy_units.Quantity):
 
-            _x = np.array(x.to("keV").value, ndmin=1, copy=None, dtype=float)
+            _x = np.array(x.to("keV").value, ndmin=1, copy=copy_if_needed, dtype=float)
 
             _unit = astropy_units.cm**2
             _y_unit = astropy_units.dimensionless_unscaled

astromodels/functions/template_model.py

@@ -21,6 +21,7 @@
 from astromodels.functions.function import Function1D, FunctionMeta
 from astromodels.utils import get_user_data_path
 from astromodels.utils.logging import setup_logger
+from astromodels.utils.file_utils import copy_if_needed
 
 log = setup_logger(__name__)
 
@@ -761,7 +762,7 @@ def _interpolate(self, energies, scale, parameters_values):
             # the logarithm below will fail.
 
             energies = np.array(
-                energies.to("keV").value, ndmin=1, copy=None, dtype=float
+                energies.to("keV").value, ndmin=1, copy=copy_if_needed, dtype=float
             )
 
             # Same for the scale

astromodels/utils/file_utils.py

@@ -3,11 +3,17 @@
 
 import os
 from pathlib import Path
-
+import numpy as np
 import pkg_resources
 
 _custom_config_path = os.environ.get("ASTROMODELS_CONFIG")
 
+copy_if_needed: Optional[bool]
+
+if np.lib.NumpyVersion(np.__version__) >= "2.0.0":
+    copy_if_needed = None
+else:
+    copy_if_needed = False
 
 def _get_data_file_path(data_file: str) -> Path:
     """

astromodels/xspec/factory.py

@@ -431,6 +431,7 @@ def get_models(model_dat_path):
 from astromodels.functions.function import FunctionMeta, Function1D
 import numpy as np
 import astropy.units as u
+from astromodels.utils.file_utils import copy_if_needed
 from astromodels.xspec import _xspec
 import six
 
@@ -486,7 +487,7 @@ def evaluate(self, x, $PARAMETERS_NAMES$):
 
         if isinstance(x, u.Quantity):
 
-            x = np.array(x.to('keV').value, ndmin=1, copy=None, dtype=float)
+            x = np.array(x.to('keV').value, ndmin=1, copy=copy_if_needed, dtype=float)
 
             quantity = True