Make numpy non-mandatory

orekit_jpype/orekit_converters.py

@@ -5,7 +5,7 @@ It is assumed that the JVM is running.
 Importing this file will automatically implement the changes.
 
 """
-import numpy as np
+
 import datetime, math
 import orekit_jpype
 
@@ -60,21 +60,26 @@ class _JAbsoluteDate(object):
                                  int(math.floor(seconds)),
                                  int(1000000.0 * (seconds - math.floor(seconds))))
 
+try:
+    import numpy as np
 
-@JImplementationFor("double[][]")
-class _JDouble2DArray(object):
+    @JImplementationFor("double[][]")
+    class _JDouble2DArray(object):
 
-    def to_numpy(self) -> np.ndarray:
-        """
-        Get the Java Double 2D Array as a Python numpy array
+        def to_numpy(self) -> np.ndarray:
+            """
+            Get the Java Double 2D Array as a Python numpy array
 
-        Returns: the Double Array as numpy 2D array
+            Returns: the Double Array as numpy 2D array
 
-        """
-        return np.array(self)
+            """
+            return np.array(self)
+
+        def __repr__(self):
+            return f"<{self.getClass().getSimpleName()}: {np.array(self).__str__()}>"
 
-    def __repr__(self):
-        return f"<{self.getClass().getSimpleName()}: {np.array(self).__str__()}>"
+except ImportError:
+    pass
 
 # @JImplementationFor("double[]")
 # class _JDoubleArray(object):

pyproject.toml

@@ -25,8 +25,7 @@ classifiers = [
 ]
 
 dependencies = [
-    'jpype1',
-    'numpy'
+    'Jpype1'
 ]
 
 [project.urls]