Remove unneeded files

notebooks/FastCCD/fastccdreaderh5.py

-"""XFEL FCCD Tools
-
-Author: Steffen Hauf <steffen.hauf@xfel.eu>
-
-(c) European X-Ray Free Electron Laser Facility GmbH 2014
-
-This module provides an interface for accessing preliminary LPD data.
-
-Reordering of pixels and inversion is performed through hard-coded look-up tables.
-
-
-"""
-from __future__ import print_function, division, absolute_import
-
-import h5py
-import numpy as np
-
-
-def readData(filename, path='/stream', **kwargs):
-    """ Reads data from a given file (family) and output reordered images
-        in stacks
-    
-    Args:
-        filename (str): the file path and name. If the file is actually a
-            family of files only the first file, i.e. the one with index
-            00000.h5 should be given.
-        path (str = '/stream', optional): the path in the hdf5 file at which
-            the data is located.
-        kwargs: the following additional parameters may be given:
-            
-            * image_range ([low, high]): a range of images to be read
-            * x_range ([low, high]): a range of pixels to be read
-            * y_range ([low, high]): a range of pixels to be read
-            * pixels_x (int): number of pixels along x-axis, **compatibility only**.
-            * pixels_y (int): number of pixels along y-axis, **compatibility only**.
-        
-        
-    Returns:
-        numpy.array: a reordered and inverted image with rank 2
-        
-    Note:
-        This function is compatible with  xfelpycaltools.ChunkedReader
-            
-    
-    """
-
-    imageRange = kwargs.get("image_range", None)
-    pixelXRange = kwargs.get("x_range", None)
-    pixelYRange = kwargs.get("y_range", None)
-    pixelsX = kwargs.get("pixels_x", None)
-    pixelsY = kwargs.get("pixels_y", None)
-
-    f = None
-    if filename.find("00000") != -1:
-        filenameFam = filename.replace("00000", "%05d")
-
-        f = h5py.File(filenameFam, "r", driver='family',
-                      memb_size=20 * 1024 ** 3)  # 20GB chunks
-    else:
-        f = h5py.File(filename, "r")
-
-    din = None
-    if imageRange == None:
-        din = f[path]
-    else:
-        din = f[path][imageRange[0]:imageRange[1]]
-
-    d = None
-    if pixelXRange == None and pixelYRange == None:
-        d = np.array(din[:, :,:])
-        d = np.rollaxis(d, 0, start=3)
-    else:
-
-        d = np.array(
-            din[pixelXRange[0]:pixelXRange[1],pixelYRange[0]:pixelYRange[1],:])
-        d = np.rollaxis(d, 0, start=3)
-    f.close()
-    return d.astype(np.float)
-
-
-def getDataSize(filename, path='/stream'):
-    """ Returns the number of image in a given file (family)
-    
-    Args:
-        filename (str): the file path and name. If the file is actually a
-            family of files only the first file, i.e. the one with index
-            00000.h5 should be given.
-        path (str = '/stream', optional): the path in the hdf5 file at which
-            the data is located.
-    
-    """
-
-    f = None
-    if filename.find("00000") != -1:
-        filenameFam = filename.replace("00000", "%05d")
-        # print filenameFam
-        f = h5py.File(filenameFam, "r", driver='family',
-                      memb_size=20 * 1024 ** 3)  # 20GB chunks
-    else:
-        f = h5py.File(filename, "r")
-
-    return f[path].shape
-