Remove old PIL-fix files, replace with equivalent runtime-patching code.

pyqtgraph/PIL_Fix/README

@@ -1,11 +0,0 @@
-The file Image.py is a drop-in replacement for the same file in PIL 1.1.6.
-It adds support for reading 16-bit TIFF files and converting then to numpy arrays.
-(I submitted the changes to the PIL folks long ago, but to my knowledge the code
-is not being used by them.) 
-
-To use, copy this file into
-  /usr/lib/python2.6/dist-packages/PIL/
-or 
-  C:\Python26\lib\site-packages\PIL\
-
-..or wherever your system keeps its python modules.

pyqtgraph/util/pil_fix.py

@@ -0,0 +1,64 @@
+# -*- coding: utf-8 -*-
+"""
+Importing this module installs support for 16-bit images in PIL.
+This works by patching objects in the PIL namespace; no files are
+modified.
+"""
+
+from PIL import Image
+
+if Image.VERSION == '1.1.7':
+    Image._MODE_CONV["I;16"] = ('%su2' % Image._ENDIAN, None)
+    Image._fromarray_typemap[((1, 1), "<u2")] = ("I", "I;16")
+if Image.VERSION == '1.1.6':
+    Image._MODE_CONV["I;16"] = ('%su2' % Image._ENDIAN, None)
+    ## just a copy of fromarray() from Image.py with I;16 added in
+    def fromarray(obj, mode=None):
+        arr = obj.__array_interface__
+        shape = arr['shape']
+        ndim = len(shape)
+        try:
+            strides = arr['strides']
+        except KeyError:
+            strides = None
+        if mode is None:
+            typestr = arr['typestr']
+            if not (typestr[0] == '|' or typestr[0] == Image._ENDIAN or
+                    typestr[1:] not in ['u1', 'b1', 'i4', 'f4']):
+                raise TypeError("cannot handle data-type")
+            if typestr[0] == Image._ENDIAN:
+                typestr = typestr[1:3]
+            else:
+                typestr = typestr[:2]
+            if typestr == 'i4':
+                mode = 'I'
+            if typestr == 'u2':
+                mode = 'I;16'
+            elif typestr == 'f4':
+                mode = 'F'
+            elif typestr == 'b1':
+                mode = '1'
+            elif ndim == 2:
+                mode = 'L'
+            elif ndim == 3:
+                mode = 'RGB'
+            elif ndim == 4:
+                mode = 'RGBA'
+            else:
+                raise TypeError("Do not understand data.")
+        ndmax = 4
+        bad_dims=0
+        if mode in ['1','L','I','P','F']:
+            ndmax = 2
+        elif mode == 'RGB':
+            ndmax = 3
+        if ndim > ndmax:
+            raise ValueError("Too many dimensions.")
+
+        size = shape[:2][::-1]
+        if strides is not None:
+            obj = obj.tostring()
+
+        return frombuffer(mode, size, obj, "raw", mode, 0, 1)
+        
+    Image.fromarray=fromarray