sage.modules.vector_numpy_integer_dense: New

src/sage/modules/vector_numpy_integer_dense.pxd

@@ -0,0 +1,5 @@
+from .vector_numpy_dense cimport Vector_numpy_dense
+
+cdef class Vector_numpy_integer_dense(Vector_numpy_dense):
+
+    pass

src/sage/modules/vector_numpy_integer_dense.pyx

@@ -0,0 +1,44 @@
+r"""
+Dense integer vectors using a NumPy backend.
+
+EXAMPLES::
+
+    sage: from sage.modules.vector_numpy_integer_dense import Vector_numpy_integer_dense
+    sage: v = Vector_numpy_integer_dense(FreeModule(ZZ, 3), [0, 0, 0]); v
+    (0, 0, 0)
+    sage: v[1] = 42
+    sage: v
+    (0, 42, 0)
+    sage: v.numpy()
+    array([ 0, 42,  0])
+"""
+
+# ****************************************************************************
+#       Copyright (C) 2021      Matthias Koeppe
+#
+#  Distributed under the terms of the GNU General Public License (GPL)
+#  as published by the Free Software Foundation; either version 2 of
+#  the License, or (at your option) any later version.
+#                  https://www.gnu.org/licenses/
+# ****************************************************************************
+
+cimport numpy
+import numpy
+
+from sage.structure.element cimport Element, Vector
+
+from sage.rings.integer_ring import ZZ
+
+# This is for the NumPy C API (the PyArray... functions) to work
+numpy.import_array()
+
+
+cdef class Vector_numpy_integer_dense(Vector_numpy_dense):
+
+    def __cinit__(self, parent, entries, coerce=True, copy=True):
+        self._numpy_dtype = numpy.dtype('int64')
+        self._numpy_dtypeint = numpy.NPY_INT64
+        self._python_dtype = int
+        self._sage_dtype = ZZ
+        self.__create_vector__()
+        return