more arguments to to_numpy

Author: Christopher Doris

docs/src/juliacall-reference.md

@@ -132,7 +132,7 @@ copy of the original array.
 - `shape`: Tuple of lengths in each dimension.
 - `copy()`: A copy of the array.
 - `reshape(shape)`: A reshaped view of the array.
-- `to_numpy()`: Convert to a numpy array.
+- `to_numpy(dtype=None, copy=True, order="K")`: Convert to a numpy array.
 `````
 
 `````@customdoc

src/jlwrap/array.jl

@@ -329,9 +329,9 @@ function init_jlwrap_array()
             except ImportError:
                 pass
             return arr
-        def to_numpy(self, dtype=None):
+        def to_numpy(self, dtype=None, copy=True, order="K"):
             import numpy
-            return numpy.array(self, dtype=dtype)
+            return numpy.array(self, dtype=dtype, copy=copy, order=order)
     """, @__FILE__(), "exec"), jl.__dict__)
     pycopy!(pyjlarraytype, jl.ArrayValue)
 end