//Copyright (c) Corporation for National Research Initiatives
package org.python.modules;
import org.python.core.ClassDictInit;
import org.python.core.PyArray;
import org.python.core.PyObject;
import org.python.core.PyString;
import org.python.core.PyType;
/**
* The python array module, plus jython extensions from jarray.
*/
public class ArrayModule implements ClassDictInit {
public static PyString __doc__ = new PyString(
"This module defines a new object type which can efficiently represent\n"
+ "an array of basic values: characters, integers, floating point\n"
+ "numbers. Arrays are sequence types and behave very much like lists,\n"
+ "except that the type of objects stored in them is constrained. The\n"
+ "type is specified at object creation time by using a type code, which\n"
+ "is a single character. The following type codes are defined:\n"
+ "\n"
+ " Type code C Type Minimum size in bytes \n"
+ " 'z' boolean 1 \n"
+ " 'c' character 1 \n"
+ " 'b' signed integer 1 \n"
+
//" 'B' unsigned integer 1 \n" +
" 'h' signed integer 2 \n"
+
//" 'H' unsigned integer 2 \n" +
" 'i' signed integer 2 \n"
+
//" 'I' unsigned integer 2 \n" +
" 'l' signed integer 4 \n"
+
//" 'L' unsigned integer 4 \n" +
" 'f' floating point 4 \n" + " 'd' floating point 8 \n" + "\n"
+ "Functions:\n" + "\n" + "array(typecode [, initializer]) -- create a new array\n" + "\n"
+ "Special Objects:\n" + "\n" + "ArrayType -- type object for array objects\n");
public static void classDictInit(PyObject dict) {
dict.__setitem__("array", PyType.fromClass(PyArray.class));
dict.__setitem__("ArrayType", PyType.fromClass(PyArray.class));
}
/*
* These are jython extensions (from jarray module).
* Note that the argument order is consistent with
* python array module, but is reversed from jarray module.
*/
public static PyArray zeros(char typecode, int n) {
return PyArray.zeros(n, typecode);
}
public static PyArray zeros(Class type, int n) {
return PyArray.zeros(n, type);
}
}