def __init__(self):
Plugin.__init__(self)
self.images = None
self.output_format = "edf"
self.output_file = "toto.edf"
self.filter = "mean" #Todo: average_percentil_20-80
self.cutoff = None
def __init__(self):
"""
"""
Plugin.__init__(self)
self.queue_in = Queue()
self.queue_out = Queue()
self.queue_saver = None
self.quit_event = Event()
self.pool = []
self.raw_saver = None
self.ai = None # this is the azimuthal integrator to use
self.npt = 2000
self.npt_azim = 256
self.input_files = []
self.method = "full_ocl_csr"
self.unit = "q_nm^-1"
self.output_file = None
self.mask = None
self.wavelength = None
self.polarization_factor = None
self.do_SA = False
self.dummy = None
self.delta_dummy = None
self.norm = 1
self.error_model = None # "poisson"
self.save_raw = None
self.raw_nxs = None
self.raw_ds = None
self.raw_compression = None
self.integration_method = "integrate1d"
self.sigma_clip_thresold = 3
self.sigma_clip_max_iter = 5
self.medfilt1d_percentile = (10, 90)
def __init__(self):
Plugin.__init__(self)
self.images = None
self.output_format = "edf"
self.output_file = "toto.edf"
self.filter = "mean" #Todo: average_percentil_20-80
self.cutoff = None
def __init__(self):
"""
"""
Plugin.__init__(self)
self.queue_in = Queue()
self.queue_out = Queue()
self.queue_saver = None
self.quit_event = Event()
self.pool = []
self.raw_saver = None
self.ai = None # this is the azimuthal integrator to use
self.npt = 2000
self.npt_azim = 256
self.input_files = []
self.method = "full_ocl_csr"
self.unit = "q_nm^-1"
self.output_file = None
self.mask = None
self.wavelength = None
self.polarization_factor = None
self.do_SA = False
self.dummy = None
self.delta_dummy = None
self.norm = 1
self.error_model = None # "poisson"
self.save_raw = None
self.raw_nxs = None
self.raw_ds = None
self.raw_compression = None
self.integration_method = "integrate1d"
self.sigma_clip_thresold = 3
self.sigma_clip_max_iter = 5
self.medfilt1d_percentile = (10, 90)
def __init__(self):
"""
"""
Plugin.__init__(self)
self.ai = None # this is the azimuthal integrator to use
self.dest_dir = None
self.ntp = 1000
self.input_files = []
self.monitor_values = None
self.method = "full_ocl_csr"
self.unit = "q_nm^-1"
self.output_files = []
def __init__(self):
Plugin.__init__(self)
self.cycle = None
self.c216 = None
self.hdf5 = None
self.hdf5_filename = None
self.entry = None
self.instrument = None
self.group = None
self.tfg_grp = None
self.mcs_grp = None
self.input2 = {}
def __init__(self):
Plugin.__init__(self)
self.cycle = None
self.c216 = None
self.hdf5 = None
self.hdf5_filename = None
self.entry = None
self.instrument = None
self.group = None
self.tfg_grp = None
self.mcs_grp = None
self.input2 = {}
def __init__(self):
"""
"""
Plugin.__init__(self)
self.shared = None
self.strOutputFile = None
self.ai = None #this is the azimuthal integrator to use
self.data = None
self.mask = None
self.nbPt = None
self.dummy = None
self.delta_dummy = None
self.npaOut = None
def __init__(self):
Plugin.__init__(self)
self.start_time = get_isotime()
self.nxs = None # output data file
self.dataset = None
self.shape = None # shape of every image
self.nframes = None # Number of input frames
self.qmask = None # contains the numpy array with the qmask
self.unit = "q_nm^-1"
self.ai = None
self.correlator_name = None
self.result_filename = None
self.timestep = None
def __init__(self):
Plugin.__init__(self)
self.buffer_files = []
self.sample_file = None
self.nxs = None
self.output_file = None
self.ai = None
self.npt = None
self.poni = None
self.mask = None
self.energy = None
self.sample_juice = None
self.buffer_juices = []
def __init__(self):
"""
"""
Plugin.__init__(self)
self.shared = None
self.strOutputFile = None
self.ai = None #this is the azimuthal integrator to use
self.data = None
self.mask = None
self.nbPt = None
self.dummy = None
self.delta_dummy = None
self.npaOut = None
def __init__(self):
Plugin.__init__(self)
self.cycle = None
self.c216 = None
self.nxs = None
self.hdf5_filename = None
self.entry = None
self.instrument = None
self.group = None
self.tfg_grp = None
self.mcs_grp = None
self.input2 = {}
if "TANGO_HOST" not in os.environ:
raise RuntimeError("No TANGO_HOST defined")
def __init__(self):
Plugin.__init__(self)
self.sample = None
self.ispyb = None
self.input_file = None
self._input_frames = None
self.output_file = None
self.nxs = None
self.nb_frames = None
self.ai = None
self.npt = 1000
self.unit = pyFAI.units.to_unit("q_nm^-1")
# self.polarization_factor = 0.9 --> constant
self.poni = self.mask = None
self.energy = None
#self.method = IntegrationMethod.select_method(1, "no", "csr", "opencl")[0] -> constant
self.monitor_values = None
self.normalization_factor = None
def __init__(self):
"""
"""
Plugin.__init__(self)
self.ai = None # this is the azimuthal integrator to use
self.dest_dir = None
self.json_data = None
self.ntp = 3000
self.input_files = []
self.method = "full_ocl_csr"
self.unit = "q_nm^-1"
self.output_files = []
self.mask = ""
self.wavelength = None
self.dummy = -1
self.delta_dummy = 0
self.polarization_factor = None
self.do_SA = False
self.norm = 1e12
def __init__(self):
Plugin.__init__(self)
self.ai = None
self.distortion = None
self.workers = {}
self.output_ds = {} # output datasets
self.dest = None # output directory
self.I1 = None # beam stop diode values
self.t = None # time of the start of the frame. Same shape as self.I1
self.nframes = None
self.to_save = [
"raw", "ave"
] # by default only raw image and averaged one is saved
self.input_nxs = None
self.metadata_nxs = None
self.images_ds = None
self.metadata_plugin = None
self.metadata = {}
self.npt1_rad = None
self.npt2_rad = None
self.npt2_azim = None
self.dark = None
self.dark_filename = None
self.flat_filename = None
self.flat = None
self.mask_filename = None
self.distortion_filename = None
self.output_hdf5 = {}
self.dist = 1.0
self.absolute_solid_angle = None
self.in_shape = None
self.scaling_factor = 1.0
self.correct_solid_angle = True
self.correct_I1 = True
self.dummy = None
self.delta_dummy = None
self.unit = "q_nm^-1"
self.polarization = None
self.cache_ai = None
self.cache_dis = None
self.variance_formula = None
self.variance_function = lambda data, dark: None
def __init__(self):
Plugin.__init__(self)
self.ai = None
self.distotion_cor = None
self.distotion_norm = None
self.workers = {}
self.output_ds = {} # output datasets
self.dest = None # output directory
self.I1 = None # beam stop diode values
self.t = None # time of the start of the frame. Same shape as self.I1
self.nframes = None
self.to_save = ["raw", "ave"] # by default only raw image and averaged one is saved
self.input_nxs = None
self.metadata_nxs = None
self.images_ds = None
self.metadata_plugin = None
self.metadata = {}
self.npt1_rad = None
self.npt2_rad = None
self.npt2_azim = None
self.dark = None
self.dark_filename = None
self.flat_filename = None
self.flat = None
self.mask_filename = None
self.distortion_filename = None
self.output_hdf5 = {}
self.dist = 1.0
self.absolute_solid_angle = None
self.in_shape = None
self.scaling_factor = 1.0
self.correct_solid_angle = True
self.correct_I1 = True
self.dummy = None
self.delta_dummy = None
self.unit = "q_nm^-1"
self.polarization = None
def __init__(self):
Plugin.__init__(self)
self.input_ds = None
self.output_ds = None
self.distortion = None
def __init__(self):
Plugin.__init__(self)
self.input_metadata = None
self.plugins = {"metadata":Metadata()}
def __init__(self):
Plugin.__init__(self)
self.input_metadata = None
self.plugins = {"metadata": Metadata()}
def __init__(self):
Plugin.__init__(self)
self.input_ds = None
self.output_ds = None
self.distortion = None