#!/usr/bin/env python # Diffdump.py # Copyright (C) 2006 CCLRC, Graeme Winter # # This code is distributed under the BSD license, a copy of which is # included in the root directory of this package. # # 14th June 2006 # # A wrapper for the program "diffdump" derived from the DiffractionImage # code in XIA1 by Francois Remacle. # # The output looks like... # # > diffdump 12287_1_E1_001.img # Image type : adsc # Exposure epoch : Sun Sep 26 14:01:35 2004 # Exposure time : 5.000000 # Detector S/N : 445 # Wavelength : 0.979660 # Beam center : (105.099998,101.050003) # Distance to detector : 170.000000 mm # Image Size : (2048 px, 2048 px) # Pixel Size : (0.102400 mm, 0.102400 mm) # Angle range : 290.000000 -> 291.000000 # Two Theta value: N/A # # FIXME this should probably be replaced with a module which uses the # swig-python bindings of the DiffractionImage library directly. # # FIXED 24/NOV/06 before running should check that the file actually # exists! # # FIXME 24/NOV/06 if beam centre is 0.0, 0.0 then perhaps reset it to # the centre of the image. # import os import sys import copy import time import datetime import math import exceptions import traceback from scitbx import matrix from scitbx.math import r3_rotation_axis_and_angle_from_matrix if __name__ == '__main__': debug = False else: debug = False if not os.environ.has_key('XIA2CORE_ROOT'): raise RuntimeError, 'XIA2CORE_ROOT not defined' if not os.environ.has_key('XIA2_ROOT'): raise RuntimeError, 'XIA2_ROOT not defined' if not os.path.join(os.environ['XIA2CORE_ROOT'], 'Python') in sys.path: sys.path.append(os.path.join(os.environ['XIA2CORE_ROOT'], 'Python')) if not os.environ['XIA2_ROOT'] in sys.path: sys.path.append(os.environ['XIA2_ROOT']) from Driver.DriverFactory import DriverFactory from Handlers.Flags import Flags # replacement dxtbx for rigaku saturns sometimes from dxtbx.format.Registry import Registry from dxtbx.model.detector_helpers_types import detector_helpers_types def get_trust_timestamps(): return Flags.get_trust_timestamp() class _HeaderCache: '''A cache for image headers.''' def __init__(self): self._headers = { } def put(self, image, header): self._headers[image] = copy.deepcopy(header) def get(self, image): return self._headers[image] def check(self, image): return self._headers.has_key(image) def write(self, filename): import json json.dump(self._headers, open(filename, 'w')) return def read(self, filename): assert(self._headers == { }) import json self._headers = json.load(open(filename, 'r')) return len(self._headers) HeaderCache = _HeaderCache() # FIXME this does not include all MAR, RAXIS detectors detector_class = {('adsc', 2304, 81):'adsc q4', ('adsc', 1152, 163):'adsc q4 2x2 binned', ('adsc', 1502, 163):'adsc q4 2x2 binned', ('adsc', 4096, 51):'adsc q210', ('adsc', 2048, 102):'adsc q210 2x2 binned', ('adsc', 6144, 51):'adsc q315', ('adsc', 3072, 102):'adsc q315 2x2 binned', ('adsc', 4168, 64):'adsc q270', ('adsc', 4168, 65):'adsc q270', ('adsc', 2084, 128):'adsc q270 2x2 binned', ('adsc', 2084, 129):'adsc q270 2x2 binned', ('adsc', 2084, 130):'adsc q270 2x2 binned', ('cbf', 2463, 172):'pilatus 6M', ('mini-cbf', 2463, 172):'pilatus 6M', ('dectris', 2527, 172):'pilatus 6M', ('dectris', 1679, 172):'pilatus 2M', ('marccd', 4096, 73):'mar 300 ccd', ('marccd', 4096, 79):'mar 325 ccd', ('marccd', 3072, 73):'mar 225 ccd', ('marccd', 2048, 78):'mar 165 ccd', ('marccd', 2048, 79):'mar 165 ccd', ('marccd', 2048, 64):'mar 135 ccd', ('mar', 4096, 73):'mar 300 ccd', ('mar', 4096, 79):'mar 325 ccd', ('mar', 3072, 73):'mar 225 ccd', ('mar', 2048, 78):'mar 165 ccd', ('mar', 2048, 79):'mar 165 ccd', ('mar', 2048, 64):'mar 135 ccd', ('mar', 1200, 150):'mar 180', ('mar', 1600, 150):'mar 240', ('mar', 2000, 150):'mar 300', ('mar', 2300, 150):'mar 345', ('mar', 3450, 100):'mar 345', ('raxis', 3000, 100):'raxis IV', ('rigaku', 3000, 100):'raxis IV', ('saturn', 2048, 45):'rigaku saturn 92', ('saturn', 1024, 90):'rigaku saturn 92 2x2 binned', ('saturn', 2084, 45):'rigaku saturn 944', ('saturn', 1042, 90):'rigaku saturn 944 2x2 binned', ('rigaku', 2048, 45):'rigaku saturn 92', ('rigaku', 1024, 90):'rigaku saturn 92 2x2 binned', ('rigaku', 1042, 35):'rigaku saturn 724', ('rigaku', 1042, 70):'rigaku saturn 724 2x2 binned', ('rigaku', 2084, 45):'rigaku saturn 944', ('rigaku', 1042, 90):'rigaku saturn 944 2x2 binned', ('rigaku', 1042, 89):'rigaku saturn 944 2x2 binned'} def read_A200(image): '''Read the header from a Rigaku A200 image. This is to work around the diffdump program falling over with such images.''' raise RuntimeError, 'this needs implementing!' pass # FIXME get proper specifications for these detectors... import pycbf def find_detector_id(cbf_handle): detector_id = '' cbf_handle.rewind_datablock() nblocks = cbf_handle.count_datablocks() for j in range(nblocks): cbf_handle.select_datablock(0) ncat = cbf_handle.count_categories() for j in range(ncat): cbf_handle.select_category(j) if not cbf_handle.category_name() == 'diffrn_detector': continue nrows = cbf_handle.count_rows() ncols = cbf_handle.count_columns() cbf_handle.rewind_column() while True: if cbf_handle.column_name() == 'id': detector_id = cbf_handle.get_value() break try: cbf_handle.next_column() except: break return detector_id def cbf_gonio_to_effective_axis(cbf_gonio): '''Given a cbf goniometer handle, determine the real rotation axis.''' x = cbf_gonio.rotate_vector(0.0, 1, 0, 0) y = cbf_gonio.rotate_vector(0.0, 0, 1, 0) z = cbf_gonio.rotate_vector(0.0, 0, 0, 1) R = matrix.rec(x + y + z, (3, 3)).transpose() x1 = cbf_gonio.rotate_vector(1.0, 1, 0, 0) y1 = cbf_gonio.rotate_vector(1.0, 0, 1, 0) z1 = cbf_gonio.rotate_vector(1.0, 0, 0, 1) R1 = matrix.rec(x1 + y1 + z1, (3, 3)).transpose() RA = R1 * R.inverse() axis = r3_rotation_axis_and_angle_from_matrix(RA).axis return axis def failover_full_cbf(cbf_file): '''Use pycbf library to read full cbf file description.''' header = { } cbf_handle = pycbf.cbf_handle_struct() cbf_handle.read_file(cbf_file, pycbf.MSG_DIGEST) detector_id_map = {'Pilatus2M':'pilatus 2M', 'Pilatus6M':'pilatus 6M', 'i19-p300k':'pilatus 300K', 'ADSCQ315-SN920':'adsc q315 2x2 binned'} header['detector_class'] = detector_id_map[find_detector_id(cbf_handle)] if 'pilatus' in header['detector_class']: header['detector'] = 'dectris' elif 'adsc' in header['detector_class']: header['detector'] = 'adsc' else: raise RuntimeError, 'unknown detector %s' % header['detector_class'] cbf_handle.rewind_datablock() detector = cbf_handle.construct_detector(0) # FIXME need to check that this is doing something sensible...! header['beam'] = tuple(map(math.fabs, detector.get_beam_center()[2:])) detector_normal = tuple(detector.get_detector_normal()) gonio = cbf_handle.construct_goniometer() axis = tuple(gonio.get_rotation_axis()) angles = tuple(gonio.get_rotation_range()) header['distance'] = detector.get_detector_distance() header['pixel'] = (detector.get_inferred_pixel_size(1), detector.get_inferred_pixel_size(2)) header['phi_start'], header['phi_width'] = angles header['phi_end'] = header['phi_start'] + header['phi_width'] year, month, day, hour, minute, second, x = cbf_handle.get_datestamp() struct_time = datetime.datetime(year, month, day, hour, minute, second).timetuple() header['date'] = time.asctime(struct_time) header['epoch'] = cbf_handle.get_timestamp()[0] header['size'] = tuple(cbf_handle.get_image_size(0)) header['exposure_time'] = cbf_handle.get_integration_time() header['wavelength'] = cbf_handle.get_wavelength() # compute the true two-theta offset... which is kind-of going around # the houses. oh and the real rotation axis. origin = detector.get_pixel_coordinates(0, 0) fast = detector.get_pixel_coordinates(0, 1) slow = detector.get_pixel_coordinates(1, 0) dfast = matrix.col([fast[j] - origin[j] for j in range(3)]).normalize() dslow = matrix.col([slow[j] - origin[j] for j in range(3)]).normalize() dorigin = matrix.col(origin) dnormal = dfast.cross(dslow) centre = - (dorigin - dorigin.dot(dnormal) * dnormal) f = centre.dot(dfast) s = centre.dot(dslow) header['fast_direction'] = dfast.elems header['slow_direction'] = dslow.elems header['detector_origin_mm'] = f, s header['rotation_axis'] = cbf_gonio_to_effective_axis(gonio) two_theta = dfast.angle(matrix.col((0.0, 1.0, 0.0)), deg = True) if math.fabs(two_theta - 180.0) < 1.0: header['two_theta'] = 0 else: header['two_theta'] = two_theta # find the direct beam vector - takes a few steps cbf_handle.find_category('axis') # find record with equipment = source cbf_handle.find_column('equipment') cbf_handle.find_row('source') # then get the vector and offset from this beam_direction = [] for j in range(3): cbf_handle.find_column('vector[%d]' % (j + 1)) beam_direction.append(cbf_handle.get_doublevalue()) # FIXME in here add in code to compute from first principles the beam # centre etc. detector.__swig_destroy__(detector) del(detector) gonio.__swig_destroy__(gonio) del(gonio) return header def failover_cbf(cbf_file): '''CBF files from the latest update to the PILATUS detector cause a segmentation fault in diffdump. This is a workaround.''' header = { } header['two_theta'] = 0.0 for record in open(cbf_file): if '_array_data.data' in record: break if 'PILATUS 2M' in record: header['detector_class'] = 'pilatus 2M' header['detector'] = 'dectris' header['size'] = (1679, 1475) continue if 'PILATUS 6M' in record: header['detector_class'] = 'pilatus 6M' header['detector'] = 'dectris' header['size'] = (2527, 2463) continue if 'Start_angle' in record: header['phi_start'] = float(record.split()[-2]) continue if 'Angle_increment' in record: header['phi_width'] = float(record.split()[-2]) continue if 'Exposure_period' in record: header['exposure_time'] = float(record.split()[-2]) continue if 'Detector_distance' in record: header['distance'] = 1000 * float(record.split()[2]) continue if 'Wavelength' in record: header['wavelength'] = float(record.split()[-2]) continue if 'Pixel_size' in record: header['pixel'] = 1000 * float(record.split()[2]), \ 1000 * float(record.split()[5]) continue if 'Beam_xy' in record: # N.B. this is swapped again for historical reasons beam_pixels = map(float, record.replace('(', '').replace( ')', '').replace(',', '').split()[2:4]) header['beam'] = beam_pixels[1] * header['pixel'][1], \ beam_pixels[0] * header['pixel'][0] header['raw_beam'] = beam_pixels[1] * header['pixel'][1], \ beam_pixels[0] * header['pixel'][0] continue # try to get the date etc. literally. try: datestring = record.split()[-1].split('.')[0] format = '%Y-%b-%dT%H:%M:%S' struct_time = time.strptime(datestring, format) header['date'] = time.asctime(struct_time) header['epoch'] = time.mktime(struct_time) except: pass try: if not 'date' in header: datestring = record.split()[-1].split('.')[0] format = '%Y-%m-%dT%H:%M:%S' struct_time = time.strptime(datestring, format) header['date'] = time.asctime(struct_time) header['epoch'] = time.mktime(struct_time) except: pass try: if not 'date' in header: datestring = record.replace('#', '').strip().split('.')[0] format = '%Y/%b/%d %H:%M:%S' struct_time = time.strptime(datestring, format) header['date'] = time.asctime(struct_time) header['epoch'] = time.mktime(struct_time) except: pass header['phi_end'] = header['phi_start'] + header['phi_width'] return header last_format = None def failover_dxtbx(image_file): '''Failover to use the dxtbx to read the image headers...''' global last_format if last_format: iformat = last_format else: iformat = Registry.find(image_file) if iformat.understand(image_file) < 2: raise RuntimeError, 'image file %s not understood by dxtbx' % \ image_file last_format = iformat i = iformat(image_file) b = i.get_beam() g = i.get_goniometer() d = i.get_detector() s = i.get_scan() header = { } fast, slow = map(int, d.get_image_size()) _f, _s = d.get_pixel_size() F = d.get_fast_c() S = d.get_slow_c() N = F.cross(S) origin = d.get_origin_c() beam = b.get_direction_c().normalize() centre = - (origin - origin.dot(N) * N) x = centre.dot(F) y = centre.dot(S) header['exposure_time'] = s.get_exposure_time() header['distance'] = math.fabs(origin.dot(N)) header['two_theta'] = - beam.angle(N, deg = True) header['raw_beam'] = x, y header['phi_start'] = s.get_oscillation()[0] header['phi_width'] = s.get_oscillation()[1] header['phi_end'] = sum(s.get_oscillation()) header['pixel'] = _f, _s header['beam'] = x, y header['epoch'] = s.get_image_epoch(min(s.get_epochs())) header['date'] = s.get_image_time(min(s.get_epochs())) header['wavelength'] = b.get_wavelength() header['size'] = fast, slow if hasattr(i, 'detector_class'): header['detector_class'] = i.detector_class header['detector'] = i.detector else: detector_type = detector_helpers_types.get( d.get_sensor(), fast, slow, int(1000 * _f), int(1000 * _s)) header['detector_class'] = detector_type.replace('-', ' ') header['detector'] = detector_type.split('-')[0] return header def Diffdump(DriverType = None): '''A factory for wrappers for the diffdump.''' DriverInstance = DriverFactory.Driver(DriverType) class DiffdumpWrapper(DriverInstance.__class__): '''Provide access to the functionality in diffdump.''' def __init__(self): DriverInstance.__class__.__init__(self) self.set_executable('diffdump') self._image = None self._header = { } return def set_image(self, image): '''Set an image to read the header of.''' self._image = image self._header = { } return def _get_time(self, datestring): '''Unpack a date string to a structure.''' if len(datestring) == 0: raise RuntimeError, 'empty date' if datestring == 'N/A': # we don't have the date! # set default to 0-epoch return datetime.datetime(1970, 0, 0, 0, 0, 0).timetuple(), 0.0 # problem here is multiple formats for date strings! # so have to change the structure... # FIXME! # pilatus: 2007/Sep/22 21:15:03.229 # format: %Y/%b/%d %H:%M:%S # allow for milliseconds ms = 0.0 struct_time = None try: format = '%Y/%b/%d %H:%M:%S' ms = 0.001 * int(datestring.split('.')[1]) _datestring = datestring.split('.')[0] struct_time = time.strptime(_datestring, format) except: struct_time = None # ADSC CBF format if not struct_time: try: format = '%d/%m/%Y %H:%M:%S' ms = 0.001 * int(datestring.split('.')[1]) _datestring = datestring.split('.')[0] struct_time = time.strptime(_datestring, format) except: struct_time = None if not struct_time: try: struct_time = time.strptime(datestring) except: struct_time = None if not struct_time: # this may be a mar format date... # MMDDhhmmYYYY.ss - go figure # or it could also be the format from # saturn images like: # 23-Oct-2006 13:42:36 if not '-' in datestring: month = int(datestring[:2]) day = int(datestring[2:4]) hour = int(datestring[4:6]) minute = int(datestring[6:8]) year = int(datestring[8:12]) second = int(datestring[-2:]) d = datetime.datetime(year, month, day, hour, minute, second) struct_time = d.timetuple() else: struct_time = time.strptime(datestring, '%d-%b-%Y %H:%M:%S') return struct_time, ms def _epoch(self, datestring): '''Compute an epoch from a date string.''' t, ms = self._get_time(datestring) return time.mktime(t) + ms def _date(self, datestring): '''Compute a human readable date from a date string.''' return time.asctime(self._get_time(datestring)[0]) def readheader(self): '''Read the image header.''' if self._header: return copy.deepcopy(self._header) if HeaderCache.check(self._image): self._header = HeaderCache.get(self._image) return copy.deepcopy(self._header) if os.path.getsize(self._image) == 0: raise RuntimeError, 'empty file: %s' % self._image try: return self.readheader_diffdump() except exceptions.Exception, e: self._header = failover_dxtbx(self._image) HeaderCache.put(self._image, self._header) return copy.deepcopy(self._header) def readheader_diffdump(self): '''Read the image header.''' global detector_class # check that the input file exists.. if not os.path.exists(self._image): raise RuntimeError, 'image %s does not exist' % \ self._image # consider using more recent code to read these images in # first instance, to replace diffdump try: if '.cbf' in self._image[-4:]: header = failover_cbf(self._image) assert(header['detector_class'] in \ ['pilatus 2M', 'pilatus 6M']) self._header = header HeaderCache.put(self._image, self._header) return copy.deepcopy(self._header) except exceptions.Exception, e: if '.cbf' in self._image[-4:]: header = failover_full_cbf(self._image) self._header = header HeaderCache.put(self._image, self._header) return copy.deepcopy(self._header) pass self.add_command_line(self._image) self.start() self.close_wait() # why is this commented out? # self.check_for_errors() # results were ok, so get all of the output out output = self.get_all_output() if debug: print '! all diffdump output follows' for o in output: print '! %s' % o[:-1] # note that some of the records in the image header # will depend on the detector class - this should # really be fixed in the program diffdump... detector = None fudge = {'adsc':{'wavelength':1.0, 'pixel':1.0}, 'dectris':{'wavelength':1.0, 'pixel':1.0}, 'rigaku':{'wavelength':1.0, 'pixel':1.0}, 'raxis':{'wavelength':1.0, 'pixel':1.0}, 'saturn':{'wavelength':1.0, 'pixel':1.0}, 'marccd':{'wavelength':1.0, 'pixel':0.001}, 'mini-cbf':{'wavelength':1.0, 'pixel':1.0}, 'cbf':{'wavelength':1.0, 'pixel':1.0}, 'mar':{'wavelength':1.0, 'pixel':1.0}} cbf_format = False for o in output: l = o.split(':') if len(l) > 1: l2 = l[1].split() else: l2 = '' # latest version of diffdump prints out manufacturer in # place of image type... if ('Image type' in o) or ('Manufacturer' in o): if debug: print '! found image type: %s' % l[1].strip().lower() self._header['detector'] = l[1].strip().lower() # correct spelling, perhaps if self._header['detector'] == 'mar ccd': self._header['detector'] = 'marccd' if self._header['detector'] == 'mar 345': self._header['detector'] = 'mar' if self._header['detector'] == 'rigaku saturn': self._header['detector'] = 'saturn' if self._header['detector'] == 'rigaku raxis': self._header['detector'] = 'raxis' if self._header['detector'] == 'rigaku r-axis': self._header['detector'] = 'raxis' detector = self._header['detector'] if 'Format' in o: if o.split()[-1] == 'CBF': cbf_format = True # FIXME in here need to check a trust file timestamp flag if 'Exposure epoch' in o or 'Collection date' in o: try: d = o[o.index(':') + 1:] if d.strip(): self._header['epoch'] = self._epoch(d.strip()) self._header['date'] = self._date(d.strip()) if debug: print '! exposure epoch: %d' % \ int(self._header['epoch']) else: if get_trust_timestamps(): self._header['epoch'] = float( os.stat(self._image)[8]) self._header['date'] = time.ctime( self._header['epoch']) else: self._header['epoch'] = 0.0 self._header['date'] = '' except exceptions.Exception, e: if debug: print '! error interpreting date: %s' % str(e) # this is badly formed.... # so perhaps read the file creation date? # time.ctime(os.stat(filename)[8]) -> date # os.stat(filename)[8] -> epoch self._header['epoch'] = float( os.stat(self._image)[8]) self._header['date'] = time.ctime( self._header['epoch']) # self._header['epoch'] = 0.0 # self._header['date'] = '' if 'Exposure time' in o: self._header['exposure_time'] = float(l2[0]) if 'Wavelength' in o: self._header['wavelength'] = float(l2[0]) * \ fudge[detector]['wavelength'] if debug: print '! found wavelength: %f' % \ self._header['wavelength'] if 'Distance' in o: self._header['distance'] = float( l[1].replace('mm', '').strip()) if 'Beam cent' in o: beam = l[1].replace('(', '').replace( ')', '').replace('mm', ' ').split(',') self._header['beam'] = map(float, beam) self._header['raw_beam'] = map(float, beam) if 'Image Size' in o: image = l[1].replace('px', '') image = image.replace('(', '').replace(')', '').split(',') self._header['size'] = map(float, image) if 'Pixel Size' in o: image = l[1].replace('mm', '') x, y = image.replace('(', '').replace(')', '').split(',') if detector == 'marccd' and math.fabs(float(x)) < 1.0: self._header['pixel'] = (float(x), float(y)) else: self._header['pixel'] = ( float(x) * fudge[detector]['pixel'], float(y) * fudge[detector]['pixel']) if 'Angle range' in o: phi = map(float, l[1].split('->')) self._header['phi_start'] = phi[0] self._header['phi_end'] = phi[1] self._header['phi_width'] = phi[1] - phi[0] if 'Oscillation' in o: phi = map(float, l[1].replace('deg', '').split('->')) self._header['phi_start'] = phi[0] self._header['phi_end'] = phi[1] self._header['phi_width'] = phi[1] - phi[0] if 'Oscillation range' in o: phi = map(float, l[1].replace('deg', '').split('->')) self._header['phi_start'] = phi[0] self._header['phi_end'] = phi[1] self._header['phi_width'] = phi[1] - phi[0] if 'Two Theta value' in o: try: two_theta = float(o.split(':')[1].split()[0]) self._header['two_theta'] = two_theta * -1.0 except ValueError, e: self._header['two_theta'] = 0.0 # check to see if the beam centre needs to be converted # from pixels to mm - e.g. MAR 300 images from APS ID 23 if self._header.has_key('beam') and \ self._header.has_key('pixel') and \ self._header.has_key('size'): # look to see if the current beam is somewhere in the middle # pixel count wise... beam = self._header['beam'] size = self._header['size'] pixel = self._header['pixel'] if math.fabs((beam[0] - 0.5 * size[0]) / size[0]) < 0.25: new_beam = (beam[0] * pixel[0], beam[1] * pixel[1]) self._header['beam'] = new_beam # check beam centre is sensible i.e. not NULL if math.fabs(self._header['beam'][0]) < 0.01 and \ math.fabs(self._header['beam'][1]) < 0.01: size = self._header['size'] pixel = self._header['pixel'] self._header['beam'] = (0.5 * size[0] * pixel[0], 0.5 * size[1] * pixel[1]) if self._header.has_key('detector') and \ self._header.has_key('pixel') and \ self._header.has_key('size'): # compute the detector class detector = self._header['detector'] width = int(self._header['size'][0]) pixel = int(1000 * self._header['pixel'][0]) key = (detector, width, pixel) self._header['detector_class'] = detector_class[key] # check for mar ccd and perhaps reassign if detector == 'mar' and \ 'ccd' in self._header['detector_class']: self._header['detector'] = 'marccd' # currently diffdump swaps x, y in beam centre output if self._header['detector_class'] == 'pilatus 2M': x, y = self._header['beam'] self._header['beam'] = y, x x, y = self._header['raw_beam'] self._header['raw_beam'] = y, x else: self._header['detector_class'] = 'unknown' # quickly check diffdump didn't do something stupid... if detector == 'adsc' and not cbf_format: osc_start = 0.0 osc_range = 0.0 size = int(open(self._image, 'r').read(20).split()[-1]) hdr = open(self._image, 'r').read(size) for record in hdr.split('\n'): if 'OSC_START' in record: osc_start = float(record.replace( ';', '').split('=')[-1]) if 'OSC_RANGE' in record: osc_range = float(record.replace( ';', '').split('=')[-1]) self._header['phi_start'] = osc_start self._header['phi_width'] = osc_range self._header['phi_end'] = osc_start + osc_range HeaderCache.put(self._image, self._header) return copy.deepcopy(self._header) def gain(self): '''Estimate gain for this image.''' # check that the input file exists.. if not os.path.exists(self._image): raise RuntimeError, 'image %s does not exist' % \ self._image self.add_command_line('-gain') self.add_command_line(self._image) self.start() self.close_wait() self.check_for_errors() # results were ok, so get all of the output out output = self.get_all_output() gain = 0.0 for o in output: l = o.split(':') if 'Estimation of gain' in o: # This often seems to be an underestimate... gain = 1.333 * float(l[1]) return gain return DiffdumpWrapper() if __name__ == '__main__': for image in sys.argv[1:]: p = Diffdump() p.set_image(image) header = p.readheader() for token in sorted(header): print token, header[token] HeaderCache.write()