Changeset 5156918 in sasview for src/sas/sascalc/data_util


Ignore:
Timestamp:
Mar 31, 2017 5:20:15 AM (8 years ago)
Author:
wojciech
Branches:
master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, costrafo411, magnetic_scatt, release-4.2.2, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload
Children:
7b15990
Parents:
1a8e13f0 (diff), 7cbbacd (diff)
Note: this is a merge changeset, the changes displayed below correspond to the merge itself.
Use the (diff) links above to see all the changes relative to each parent.
Message:

Merge branch 'master' of https://github.com/SasView/sasview into ticket-854

File:
1 edited

Legend:

Unmodified
Added
Removed
  • src/sas/sascalc/data_util/qsmearing.py

    rd3911e3 r775e0b7  
    1414import sys 
    1515 
     16import numpy as np  # type: ignore 
     17from numpy import pi, exp # type:ignore 
     18 
    1619from sasmodels.resolution import Slit1D, Pinhole1D 
     20from sasmodels.sesans import SesansTransform 
    1721from sasmodels.resolution2d import Pinhole2D 
     22from .nxsunit import Converter 
    1823 
    1924def smear_selection(data, model = None): 
     
    3641    # Sanity check. If we are not dealing with a SAS Data1D 
    3742    # object, just return None 
     43    # This checks for 2D data (does not throw exception because fail is common) 
    3844    if  data.__class__.__name__ not in ['Data1D', 'Theory1D']: 
    3945        if data == None: 
     
    4147        elif data.dqx_data == None or data.dqy_data == None: 
    4248            return None 
    43         return PySmear2D(data, model) 
    44  
     49        return PySmear2D(data) 
     50    # This checks for 1D data with smearing info in the data itself (again, fail is likely; no exceptions) 
    4551    if  not hasattr(data, "dx") and not hasattr(data, "dxl")\ 
    4652         and not hasattr(data, "dxw"): 
     
    4854 
    4955    # Look for resolution smearing data 
     56    # This is the code that checks for SESANS data; it looks for the file loader 
     57    # TODO: change other sanity checks to check for file loader instead of data structure? 
     58    _found_sesans = False 
     59    #if data.dx is not None and data.meta_data['loader']=='SESANS': 
     60    if data.dx is not None and data.isSesans: 
     61        #if data.dx[0] > 0.0: 
     62        if numpy.size(data.dx[data.dx <= 0]) == 0: 
     63            _found_sesans = True 
     64        # if data.dx[0] <= 0.0: 
     65        if numpy.size(data.dx[data.dx <= 0]) > 0: 
     66            raise ValueError('one or more of your dx values are negative, please check the data file!') 
     67 
     68    if _found_sesans == True: 
     69        #Pre-compute the Hankel matrix (H) 
     70        qmax, qunits = data.sample.zacceptance 
     71        SElength = Converter(data._xunit)(data.x, "A") 
     72        zaccept = Converter(qunits)(qmax, "1/A"), 
     73        Rmax = 10000000 
     74        hankel = SesansTransform(data.x, SElength, zaccept, Rmax) 
     75        # Then return the actual transform, as if it were a smearing function 
     76        return PySmear(hankel, model, offset=0) 
     77 
    5078    _found_resolution = False 
    5179    if data.dx is not None and len(data.dx) == len(data.x): 
     
    89117    Wrapper for pure python sasmodels resolution functions. 
    90118    """ 
    91     def __init__(self, resolution, model): 
     119    def __init__(self, resolution, model, offset=None): 
    92120        self.model = model 
    93121        self.resolution = resolution 
    94         self.offset = numpy.searchsorted(self.resolution.q_calc, self.resolution.q[0]) 
     122        if offset is None: 
     123            offset = numpy.searchsorted(self.resolution.q_calc, self.resolution.q[0]) 
     124        self.offset = offset 
    95125 
    96126    def apply(self, iq_in, first_bin=0, last_bin=None): 
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