[a7a5886] | 1 | """ |
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| 2 | """ |
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[0997158f] | 3 | ##################################################################### |
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| 4 | #This software was developed by the University of Tennessee as part of the |
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| 5 | #Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 6 | #project funded by the US National Science Foundation. |
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| 7 | #See the license text in license.txt |
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| 8 | #copyright 2008, University of Tennessee |
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| 9 | ###################################################################### |
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[d8a5f12] | 10 | |
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| 11 | import numpy |
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| 12 | import os |
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[a7a5886] | 13 | from DataLoader.data_info import Data1D |
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| 14 | from DataLoader.data_info import Detector |
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[d8a5f12] | 15 | |
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[99d1af6] | 16 | has_converter = True |
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| 17 | try: |
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| 18 | from data_util.nxsunit import Converter |
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| 19 | except: |
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| 20 | has_converter = False |
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| 21 | |
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[d8a5f12] | 22 | class Reader: |
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| 23 | """ |
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[0997158f] | 24 | Class to load IGOR reduced .ABS files |
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[d8a5f12] | 25 | """ |
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[8780e9a] | 26 | ## File type |
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[28caa03] | 27 | type_name = "IGOR 1D" |
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| 28 | ## Wildcards |
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[8780e9a] | 29 | type = ["IGOR 1D files (*.abs)|*.abs"] |
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[d8a5f12] | 30 | ## List of allowed extensions |
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[a7a5886] | 31 | ext = ['.abs', '.ABS'] |
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[d8a5f12] | 32 | |
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| 33 | def read(self, path): |
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| 34 | """ |
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[0997158f] | 35 | Load data file. |
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| 36 | |
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| 37 | :param path: file path |
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| 38 | |
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| 39 | :return: Data1D object, or None |
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| 40 | |
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| 41 | :raise RuntimeError: when the file can't be opened |
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| 42 | :raise ValueError: when the length of the data vectors are inconsistent |
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[d8a5f12] | 43 | """ |
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| 44 | if os.path.isfile(path): |
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| 45 | basename = os.path.basename(path) |
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| 46 | root, extension = os.path.splitext(basename) |
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| 47 | if extension.lower() in self.ext: |
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| 48 | try: |
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| 49 | input_f = open(path,'r') |
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| 50 | except : |
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| 51 | raise RuntimeError, "abs_reader: cannot open %s" % path |
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| 52 | buff = input_f.read() |
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| 53 | lines = buff.split('\n') |
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| 54 | x = numpy.zeros(0) |
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| 55 | y = numpy.zeros(0) |
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| 56 | dy = numpy.zeros(0) |
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[148ad64] | 57 | dx = numpy.zeros(0) |
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| 58 | output = Data1D(x, y, dy=dy, dx=dx) |
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[99d1af6] | 59 | detector = Detector() |
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| 60 | output.detector.append(detector) |
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[b99ac227] | 61 | output.filename = basename |
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[d8a5f12] | 62 | |
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| 63 | is_info = False |
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| 64 | is_center = False |
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| 65 | is_data_started = False |
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| 66 | |
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[99d1af6] | 67 | data_conv_q = None |
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| 68 | data_conv_i = None |
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| 69 | |
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[ca10d8e] | 70 | if has_converter == True and output.x_unit != '1/A': |
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| 71 | data_conv_q = Converter('1/A') |
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[99d1af6] | 72 | # Test it |
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| 73 | data_conv_q(1.0, output.x_unit) |
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| 74 | |
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[ca10d8e] | 75 | if has_converter == True and output.y_unit != '1/cm': |
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| 76 | data_conv_i = Converter('1/cm') |
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[99d1af6] | 77 | # Test it |
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| 78 | data_conv_i(1.0, output.y_unit) |
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| 79 | |
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[d8a5f12] | 80 | for line in lines: |
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[470bf7e] | 81 | |
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[d8a5f12] | 82 | # Information line 1 |
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[a7a5886] | 83 | if is_info == True: |
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[d8a5f12] | 84 | is_info = False |
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| 85 | line_toks = line.split() |
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| 86 | |
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| 87 | # Wavelength in Angstrom |
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| 88 | try: |
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[99d1af6] | 89 | value = float(line_toks[1]) |
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[a7a5886] | 90 | if has_converter == True and \ |
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| 91 | output.source.wavelength_unit != 'A': |
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[99d1af6] | 92 | conv = Converter('A') |
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[a7a5886] | 93 | output.source.wavelength = conv(value, |
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| 94 | units=output.source.wavelength_unit) |
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[99d1af6] | 95 | else: |
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| 96 | output.source.wavelength = value |
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[d8a5f12] | 97 | except: |
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[470bf7e] | 98 | #goes to ASC reader |
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[a7a5886] | 99 | msg = "abs_reader: cannot open %s" % path |
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| 100 | raise RuntimeError, msg |
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| 101 | #raise ValueError,"IgorReader: can't read this file, |
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| 102 | # missing wavelength" |
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[d8a5f12] | 103 | |
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| 104 | # Distance in meters |
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| 105 | try: |
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[99d1af6] | 106 | value = float(line_toks[3]) |
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[a7a5886] | 107 | if has_converter == True and \ |
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| 108 | detector.distance_unit != 'm': |
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[99d1af6] | 109 | conv = Converter('m') |
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[a7a5886] | 110 | detector.distance = conv(value, |
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| 111 | units=detector.distance_unit) |
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[99d1af6] | 112 | else: |
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| 113 | detector.distance = value |
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[d8a5f12] | 114 | except: |
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[470bf7e] | 115 | #goes to ASC reader |
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[a7a5886] | 116 | msg = "abs_reader: cannot open %s" % path |
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| 117 | raise RuntimeError, msg |
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[99d1af6] | 118 | # Transmission |
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[d8a5f12] | 119 | try: |
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| 120 | output.sample.transmission = float(line_toks[4]) |
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| 121 | except: |
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| 122 | # Transmission is not a mandatory entry |
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| 123 | pass |
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| 124 | |
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[99d1af6] | 125 | # Thickness in mm |
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[d8a5f12] | 126 | try: |
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[99d1af6] | 127 | value = float(line_toks[5]) |
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[a7a5886] | 128 | if has_converter == True and \ |
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| 129 | output.sample.thickness_unit != 'cm': |
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[b99ac227] | 130 | conv = Converter('cm') |
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[a7a5886] | 131 | output.sample.thickness = conv(value, |
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| 132 | units=output.sample.thickness_unit) |
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[99d1af6] | 133 | else: |
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| 134 | output.sample.thickness = value |
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[d8a5f12] | 135 | except: |
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| 136 | # Thickness is not a mandatory entry |
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| 137 | pass |
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[470bf7e] | 138 | |
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[a7a5886] | 139 | #MON CNT LAMBDA DET ANG DET DIST TRANS THICK |
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| 140 | # AVE STEP |
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| 141 | if line.count("LAMBDA") > 0: |
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[470bf7e] | 142 | is_info = True |
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[d8a5f12] | 143 | |
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[470bf7e] | 144 | # Find center info line |
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[a7a5886] | 145 | if is_center == True: |
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[470bf7e] | 146 | is_center = False |
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| 147 | line_toks = line.split() |
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| 148 | # Center in bin number |
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| 149 | center_x = float(line_toks[0]) |
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| 150 | center_y = float(line_toks[1]) |
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[99d1af6] | 151 | |
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[470bf7e] | 152 | # Bin size |
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[a7a5886] | 153 | if has_converter == True and \ |
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| 154 | detector.pixel_size_unit != 'mm': |
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[470bf7e] | 155 | conv = Converter('mm') |
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[a7a5886] | 156 | detector.pixel_size.x = conv(5.0, |
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| 157 | units=detector.pixel_size_unit) |
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| 158 | detector.pixel_size.y = conv(5.0, |
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| 159 | units=detector.pixel_size_unit) |
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[470bf7e] | 160 | else: |
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| 161 | detector.pixel_size.x = 5.0 |
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| 162 | detector.pixel_size.y = 5.0 |
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[99d1af6] | 163 | |
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[470bf7e] | 164 | # Store beam center in distance units |
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| 165 | # Det 640 x 640 mm |
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[a7a5886] | 166 | if has_converter==True and \ |
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| 167 | detector.beam_center_unit != 'mm': |
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[470bf7e] | 168 | conv = Converter('mm') |
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[a7a5886] | 169 | detector.beam_center.x = conv(center_x * 5.0, |
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| 170 | units=detector.beam_center_unit) |
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| 171 | detector.beam_center.y = conv(center_y * 5.0, |
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| 172 | units=detector.beam_center_unit) |
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[470bf7e] | 173 | else: |
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[a7a5886] | 174 | detector.beam_center.x = center_x * 5.0 |
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| 175 | detector.beam_center.y = center_y * 5.0 |
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[d8a5f12] | 176 | |
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[470bf7e] | 177 | # Detector type |
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| 178 | try: |
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| 179 | detector.name = line_toks[7] |
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| 180 | except: |
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| 181 | # Detector name is not a mandatory entry |
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| 182 | pass |
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| 183 | |
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[a7a5886] | 184 | #BCENT(X,Y) A1(mm) A2(mm) A1A2DIST(m) DL/L |
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| 185 | # BSTOP(mm) DET_TYP |
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| 186 | if line.count("BCENT") > 0: |
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[470bf7e] | 187 | is_center = True |
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[d8a5f12] | 188 | |
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[470bf7e] | 189 | # Parse the data |
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[a7a5886] | 190 | if is_data_started == True: |
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[470bf7e] | 191 | toks = line.split() |
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| 192 | |
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| 193 | try: |
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| 194 | _x = float(toks[0]) |
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| 195 | _y = float(toks[1]) |
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| 196 | _dy = float(toks[2]) |
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| 197 | _dx = float(toks[3]) |
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[99d1af6] | 198 | |
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[470bf7e] | 199 | if data_conv_q is not None: |
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| 200 | _x = data_conv_q(_x, units=output.x_unit) |
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| 201 | _dx = data_conv_i(_dx, units=output.x_unit) |
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[148ad64] | 202 | |
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[470bf7e] | 203 | if data_conv_i is not None: |
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| 204 | _y = data_conv_i(_y, units=output.y_unit) |
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| 205 | _dy = data_conv_i(_dy, units=output.y_unit) |
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| 206 | |
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| 207 | x = numpy.append(x, _x) |
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| 208 | y = numpy.append(y, _y) |
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| 209 | dy = numpy.append(dy, _dy) |
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| 210 | dx = numpy.append(dx, _dx) |
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| 211 | |
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| 212 | except: |
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| 213 | # Could not read this data line. If we are here |
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| 214 | # it is because we are in the data section. Just |
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| 215 | # skip it. |
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| 216 | pass |
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[148ad64] | 217 | |
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[a7a5886] | 218 | #The 6 columns are | Q (1/A) | I(Q) (1/cm) | std. dev. |
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| 219 | # I(Q) (1/cm) | sigmaQ | meanQ | ShadowFactor| |
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[470bf7e] | 220 | if line.count("The 6 columns")>0: |
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| 221 | is_data_started = True |
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| 222 | |
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[d8a5f12] | 223 | # Sanity check |
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| 224 | if not len(y) == len(dy): |
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[a7a5886] | 225 | msg = "abs_reader: y and dy have different length" |
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| 226 | raise ValueError, msg |
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[8bd8ea4] | 227 | # If the data length is zero, consider this as |
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| 228 | # though we were not able to read the file. |
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[a7a5886] | 229 | if len(x) == 0: |
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[8bd8ea4] | 230 | raise ValueError, "ascii_reader: could not load file" |
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[d8a5f12] | 231 | output.x = x |
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| 232 | output.y = y |
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| 233 | output.dy = dy |
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[148ad64] | 234 | output.dx = dx |
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[99d1af6] | 235 | if data_conv_q is not None: |
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| 236 | output.xaxis("\\rm{Q}", output.x_unit) |
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| 237 | else: |
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| 238 | output.xaxis("\\rm{Q}", 'A^{-1}') |
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| 239 | if data_conv_i is not None: |
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[0e2aa40] | 240 | output.yaxis("\\rm{Intensity}", output.y_unit) |
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[99d1af6] | 241 | else: |
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[0e2aa40] | 242 | output.yaxis("\\rm{Intensity}","cm^{-1}") |
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[fe78c7b] | 243 | |
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| 244 | # Store loading process information |
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| 245 | output.meta_data['loader'] = self.type_name |
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[d8a5f12] | 246 | return output |
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| 247 | else: |
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| 248 | raise RuntimeError, "%s is not a file" % path |
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| 249 | return None |
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| 250 | |
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| 251 | if __name__ == "__main__": |
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| 252 | reader = Reader() |
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[470bf7e] | 253 | print reader.read("../test/jan08002.ABS") |
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[d8a5f12] | 254 | |
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| 255 | |
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| 256 | |
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