def do_work(i, item_list): processor = Processor(copy.deepcopy(self.params), composite_tag="%04d" % i) for item in item_list: tag, filename = item experiments = do_import(filename) imagesets = experiments.imagesets() if len(imagesets) == 0 or len(imagesets[0]) == 0: logger.info("Zero length imageset in file: %s" % filename) return if len(imagesets) > 1: raise Abort("Found more than one imageset in file: %s" % filename) if len(imagesets[0]) > 1: raise Abort( "Found a multi-image file. Run again with pre_import=True" ) if self.reference_detector is not None: imagesets[0].set_detector( Detector.from_dict(self.reference_detector.to_dict()) ) update_geometry(imagesets[0]) processor.process_experiments(tag, experiments) processor.finalize()
def test_cspad_cbf_in_memory(dials_regression, run_in_tmpdir, composite_output): # Check the data files for this test exist image_path = os.path.join( dials_regression, "image_examples", "LCLS_cspad_nexus", "idx-20130301060858801.cbf", ) assert os.path.isfile(image_path) with open("process_lcls.phil", "w") as f: f.write(cspad_cbf_in_memory_phil) params = phil_scope.fetch(parse(file_name="process_lcls.phil")).extract() params.output.experiments_filename = None params.output.composite_output = composite_output if composite_output: processor = Processor(params, composite_tag="memtest") else: processor = Processor(params) mem_img = dxtbx.load(image_path) raw_data = mem_img.get_raw_data( ) # cache the raw data to prevent swig errors mem_img = FormatCBFCspadInMemory(mem_img._cbf_handle) mem_img._raw_data = raw_data mem_img._cbf_handle = None # drop the file handle to prevent swig errors imgset = ImageSet(ImageSetData(MemReader([mem_img]), None)) imgset.set_beam(mem_img.get_beam()) imgset.set_detector(mem_img.get_detector()) experiments = ExperimentListFactory.from_imageset_and_crystal(imgset, None) processor.process_experiments("20130301060858801", experiments) # index/integrate the image if composite_output: processor.finalize() result = "idx-memtest_integrated.refl" else: result = "idx-20130301060858801_integrated.refl" n_refls = list(range( 140, 152)) # large ranges to handle platform-specific differences table = flex.reflection_table.from_file(result) assert len(table) in n_refls, len(table) assert "id" in table assert (table["id"] == 0).count(False) == 0