--- a/datasets/ftfile.py	Thu Jan 06 13:57:05 2011 -0500
+++ b/datasets/ftfile.py	Thu Jan 06 14:23:41 2011 -0500
@@ -1,12 +1,8 @@
-from itertools import izip
-import os
-
-import numpy
 from pylearn.io.filetensor import _read_header, _prod
-
+import numpy, theano
 from dataset import DataSet
 from dsetiter import DataIterator
-
+from itertools import izip, imap
 
 class FTFile(object):
     def __init__(self, fname, scale=1, dtype=None):
@@ -14,17 +10,8 @@
         Tests:
             >>> f = FTFile('/data/lisa/data/nist/by_class/digits/digits_test_labels.ft')
         """
-        if os.path.exists(fname):
-            self.file = open(fname, 'rb')
-            self.magic_t, self.elsize, _, self.dim, _ = _read_header(self.file, False)
-            self.gz=False
-        else:
-            import gzip
-            self.file = gzip.open(fname+'.gz','rb')
-            self.magic_t, self.elsize, _, self.dim, _ = _read_header(self.file.read(100), False, True)
-            self.file.seek(0)
-            self.gz=True
-
+        self.file = open(fname, 'rb')
+        self.magic_t, self.elsize, _, self.dim, _ = _read_header(self.file, False)
         self.size = self.dim[0]
         self.scale = scale
         self.dtype = dtype
@@ -94,10 +81,7 @@
             num = self.size
         self.dim[0] = num
         self.size -= num
-        if self.gz:
-            res = numpy.fromstring(self.file.read(), dtype=self.magic_t, count=_prod(self.dim)).reshape(self.dim)
-        else:
-            res = numpy.fromfile(self.file, dtype=self.magic_t, count=_prod(self.dim)).reshape(self.dim)
+        res = numpy.fromfile(self.file, dtype=self.magic_t, count=_prod(self.dim)).reshape(self.dim)
         if self.dtype is not None:
             res = res.astype(self.dtype)
         if self.scale != 1: