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Jython is an implementation of the high-level, dynamic, object-oriented
language Python written in 100% Pure Java, and seamlessly integrated with
the Java platform. It thus allows you to run Python on any Java platform.
/* Copyright (c) Jython Developers */
package org.python.modules.posix;
import jnr.posix.FileStat;
import org.python.core.ArgParser;
import org.python.core.Py;
import org.python.core.PyList;
import org.python.core.PyNewWrapper;
import org.python.core.PyObject;
import org.python.core.PyString;
import org.python.core.PyTuple;
import org.python.core.PyType;
import org.python.core.Visitproc;
import org.python.expose.ExposedGet;
import org.python.expose.ExposedMethod;
import org.python.expose.ExposedNew;
import org.python.expose.ExposedType;
import org.python.expose.MethodType;
import java.nio.file.attribute.DosFileAttributes;
import java.nio.file.attribute.FileTime;
import java.util.Map;
import java.util.concurrent.TimeUnit;
@ExposedType(name = "stat_result", isBaseType = false)
public class PyStatResult extends PyTuple {
public static final PyType TYPE = PyType.fromClass(PyStatResult.class);
static {
// Can only determine the module name during runtime
TYPE.setName(PosixModule.getOSName() + "." + TYPE.fastGetName());
}
@ExposedGet
public PyObject st_mode, st_ino, st_dev, st_nlink, st_uid, st_gid, st_size, st_atime, st_mtime,
st_ctime;
@ExposedGet
public static final int n_sequence_fields = 10, n_fields = 10, n_unnamed_fields = 10;
PyStatResult(PyObject... vals) {
super(TYPE, new PyObject[] {vals[0], vals[1], vals[2], vals[3], vals[4], vals[5], vals[6],
vals[7].__int__(), vals[8].__int__(), vals[9].__int__()});
st_mode = vals[0];
st_ino = vals[1];
st_dev = vals[2];
st_nlink = vals[3];
st_uid = vals[4];
st_gid = vals[5];
st_size = vals[6];
st_atime = vals[7];
st_mtime = vals[8];
st_ctime = vals[9];
}
protected PyStatResult(PyObject[] vals, PyObject st_atime, PyObject st_mtime, PyObject st_ctime) {
super(TYPE, vals);
st_mode = vals[0];
st_ino = vals[1];
st_dev = vals[2];
st_nlink = vals[3];
st_uid = vals[4];
st_gid = vals[5];
st_size = vals[6];
this.st_atime = st_atime;
this.st_mtime = st_mtime;
this.st_ctime = st_ctime;
}
@ExposedNew
static PyObject stat_result_new(PyNewWrapper wrapper, boolean init, PyType subtype,
PyObject[] args, String[] keywords) {
ArgParser ap = new ArgParser("stat_result", args, keywords, new String[] {"tuple"}, 1);
PyObject obj = ap.getPyObject(0);
if (obj instanceof PyTuple) {
if (obj.__len__() != n_fields) {
String msg = String.format("stat_result() takes a %s-sequence (%s-sequence given)",
n_fields, obj.__len__());
throw Py.TypeError(msg);
}
// tuples are immutable, so we can just use its underlying array
if (obj instanceof PyStatResult) {
return new PyStatResult(((PyTuple) obj).getArray(), ((PyStatResult) obj).st_atime,
((PyStatResult) obj).st_mtime, ((PyStatResult) obj).st_ctime);
} else {
return new PyStatResult(((PyTuple) obj).getArray());
}
}
else {
PyList seq = new PyList(obj);
if (seq.__len__() != n_fields) {
String msg = String.format("stat_result() takes a %s-sequence (%s-sequence given)",
n_fields, obj.__len__());
throw Py.TypeError(msg);
}
return new PyStatResult((PyObject[])seq.__tojava__(PyObject[].class));
}
}
// Return a Python stat result from a posix layer FileStat object, a bulk Map retrieval of attributes, or AttributeView.
public static PyStatResult fromFileStat(FileStat stat) {
return new PyStatResult(
Py.newInteger(stat.mode()),
Py.newInteger(stat.ino()),
Py.newLong(stat.dev()),
Py.newInteger(stat.nlink()),
Py.newInteger(stat.uid()),
Py.newInteger(stat.gid()),
Py.newInteger(stat.st_size()),
Py.newFloat(stat.atime()),
Py.newFloat(stat.mtime()),
Py.newFloat(stat.ctime()));
}
private static double fromFileTime(FileTime fileTime) {
return fileTime.to(TimeUnit.NANOSECONDS) / 1e9;
}
private static Long zeroOrValue(Long value) {
if (value == null) {
return Long.valueOf(0L);
} else {
return value;
}
}
private static Integer zeroOrValue(Integer value) {
if (value == null) {
return Integer.valueOf(0);
} else {
return value;
}
}
public static PyStatResult fromUnixFileAttributes(Map stat) {
Integer mode = zeroOrValue((Integer)stat.get("mode"));
Long ino = zeroOrValue((Long)stat.get("ino"));
Long dev = zeroOrValue((Long)stat.get("dev"));
Integer nlink = zeroOrValue((Integer)stat.get("nlink"));
Integer uid = zeroOrValue((Integer)stat.get("uid"));
Integer gid = zeroOrValue((Integer)stat.get("gid"));
Long size = zeroOrValue((Long)stat.get("size"));
return new PyStatResult(
Py.newInteger(mode),
Py.newInteger(ino),
Py.newLong(dev),
Py.newInteger(nlink),
Py.newInteger(uid),
Py.newInteger(gid),
Py.newInteger(size),
Py.newFloat(fromFileTime((FileTime)stat.get("lastAccessTime"))),
Py.newFloat(fromFileTime((FileTime)stat.get("lastModifiedTime"))),
Py.newFloat(fromFileTime((FileTime) stat.get("ctime"))));
}
public static PyStatResult fromDosFileAttributes(int mode, DosFileAttributes stat) {
return new PyStatResult(
Py.newInteger(mode),
Py.newInteger(0),
Py.newLong(0),
Py.newInteger(0),
Py.newInteger(0),
Py.newInteger(0),
Py.newInteger(stat.size()),
Py.newFloat(fromFileTime(stat.lastAccessTime())),
Py.newFloat(fromFileTime(stat.lastModifiedTime())),
Py.newFloat(fromFileTime(stat.creationTime())));
}
@Override
public synchronized PyObject __eq__(PyObject o) {
return stat_result___eq__(o);
}
@ExposedMethod(type = MethodType.BINARY)
final synchronized PyObject stat_result___eq__(PyObject o) {
if (getType() != o.getType() && !getType().isSubType(o.getType())) {
return null;
}
int tl = __len__();
int ol = o.__len__();
if (tl != ol) {
return Py.False;
}
int i = cmp(this, tl, o, ol);
return (i < 0) ? Py.True : Py.False;
}
@Override
public synchronized PyObject __ne__(PyObject o) {
return stat_result___ne__(o);
}
@ExposedMethod(type = MethodType.BINARY)
final synchronized PyObject stat_result___ne__(PyObject o) {
PyObject eq = stat_result___eq__(o);
if (eq == null) {
return null;
}
return eq.__not__();
}
/**
* Used for pickling.
*
* @return a tuple of (class, tuple)
*/
@Override
public PyObject __reduce__() {
return stat_result___reduce__();
}
@ExposedMethod
final PyObject stat_result___reduce__() {
PyTuple newargs = __getnewargs__();
return new PyTuple(getType(), newargs);
}
@Override
public PyTuple __getnewargs__() {
PyList lst = new PyList(getArray());
lst.pyset(7, st_atime);
lst.pyset(8, st_mtime);
lst.pyset(9, st_ctime);
return new PyTuple(lst);
}
@Override
public PyString __repr__() {
return (PyString) Py.newString(
TYPE.fastGetName() + "(" +
"st_mode=%r, st_ino=%r, st_dev=%r, st_nlink=%r, st_uid=%r, "+
"st_gid=%r, st_size=%r, st_atime=%r, st_mtime=%r, st_ctime=%r)").__mod__(this);
}
/* Traverseproc implementation
* Note that there are more fields to traverse. However traverse in PyTuple handles those.
* Here we only traverse values that are not exactly referenced in PyTuple entries.
*/
@Override
public int traverse(Visitproc visit, Object arg) {
int retVal = super.traverse(visit, arg);
if (retVal != 0) {
return retVal;
}
if (st_atime != null) {
retVal = visit.visit(st_atime, arg);
if (retVal != 0) {
return retVal;
}
}
if (st_mtime != null) {
retVal = visit.visit(st_mtime, arg);
if (retVal != 0) {
return retVal;
}
}
return st_ctime != null ? visit.visit(st_ctime, arg) : 0;
}
@Override
public boolean refersDirectlyTo(PyObject ob) {
return ob != null && (ob == st_atime || ob == st_mtime
|| ob == st_ctime || super.refersDirectlyTo(ob));
}
}