示例#1
0
 def setupRflag(self, devpar):
     '''cast rflag's list parameters from numpy types to Python types
     devpar --> list of numeric parameters or list of list
                such as timedev or freqdev'''
     
     nt = copy.deepcopy(devpar)
     for i in range(len(nt)):
         if (isinstance(nt[i],list)):
             nnt = nt[i]
             for j in range(len(nnt)):
                 elem = fh.evaluateNumpyType(nnt[j])
                 # write the casted element back  
                 devpar[i][j] = elem
示例#2
0
    def setupRflag(self, devpar):
        '''cast rflag's list parameters from numpy types to Python types
        devpar --> list of numeric parameters or list of list
                   such as timedev or freqdev'''

        nt = copy.deepcopy(devpar)
        for i in range(len(nt)):
            if (isinstance(nt[i], list)):
                nnt = nt[i]
                for j in range(len(nnt)):
                    elem = fh.evaluateNumpyType(nnt[j])
                    # write the casted element back
                    devpar[i][j] = elem
示例#3
0
        if combinespws:
            casalog.post('Combine spws %s into new output spw'%spw)
            config['combinespws'] = True
            
        # Only parse chanaverage if chanbin is valid
        if chanaverage and isinstance(chanbin, int) and chanbin <= 1:
            raise Exception, 'Parameter chanbin must be > 1 to do channel averaging'
            
        # Validate the case of int or list chanbin
        if chanaverage and pdh.validateChanBin():
            casalog.post('Parse channel averaging parameters')
            config['chanaverage'] = True
            
            # convert numpy types, until CAS-6493 is not fixed
            chanbin = fh.evaluateNumpyType(chanbin)
            config['chanbin'] = chanbin
            
        if hanning:
            casalog.post('Apply Hanning smoothing')
            config['hanning'] = True
            
        if regridms:
            casalog.post('Parse regridding parameters')            
            config['regridms'] = True
            # Reset the defaults depending on the mode
            # Only add non-empty string parameters to config dictionary
            start, width = pdh.defaultRegridParams()
            config['mode'] = mode
            config['nchan'] = nchan
            if start != '':
示例#4
0
        if combinespws:
            casalog.post('Combine spws %s into new output spw'%spw)
            config['combinespws'] = True
            
        # Only parse chanaverage if chanbin is valid
        if chanaverage and isinstance(chanbin, int) and chanbin <= 1:
            raise Exception, 'Parameter chanbin must be > 1 to do channel averaging'
            
        # Validate the case of int or list chanbin
        if chanaverage and pdh.validateChanBin():
            casalog.post('Parse channel averaging parameters')
            config['chanaverage'] = True
            
            # convert numpy types, until CAS-6493 is not fixed
            chanbin = fh.evaluateNumpyType(chanbin)
            config['chanbin'] = chanbin
            
        if hanning:
            casalog.post('Apply Hanning smoothing')
            config['hanning'] = True
            
        if regridms:
            casalog.post('Parse regridding parameters')            
            config['regridms'] = True
            # Reset the defaults depending on the mode
            # Only add non-empty string parameters to config dictionary
            start, width = pdh.defaultRegridParams()
            config['mode'] = mode
            config['nchan'] = nchan
            if start != '':