[959eb01] | 1 | """ |
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[ad92c5a] | 2 | IGOR 1D data reader |
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[959eb01] | 3 | """ |
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| 4 | ##################################################################### |
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[ad92c5a] | 5 | # This software was developed by the University of Tennessee as part of the |
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| 6 | # Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 7 | # project funded by the US National Science Foundation. |
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| 8 | # See the license text in license.txt |
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| 9 | # copyright 2008, University of Tennessee |
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[959eb01] | 10 | ###################################################################### |
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| 11 | |
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[ad92c5a] | 12 | import logging |
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[46cf4c9] | 13 | |
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[959eb01] | 14 | import numpy as np |
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[46cf4c9] | 15 | |
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| 16 | from sas.sascalc.data_util.nxsunit import Converter |
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| 17 | from ..file_reader_base_class import FileReader |
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| 18 | from ..data_info import DataInfo, plottable_1D, Data1D, Detector |
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| 19 | from ..loader_exceptions import FileContentsException, DefaultReaderException |
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[ad92c5a] | 20 | |
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| 21 | logger = logging.getLogger(__name__) |
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| 22 | |
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| 23 | |
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| 24 | class Reader(FileReader): |
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[959eb01] | 25 | """ |
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| 26 | Class to load IGOR reduced .ABS files |
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| 27 | """ |
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[ad92c5a] | 28 | # File type |
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[959eb01] | 29 | type_name = "IGOR 1D" |
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[ad92c5a] | 30 | # Wildcards |
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[a32c19c] | 31 | type = ["IGOR 1D files (*.abs)|*.abs", "IGOR 1D USANS files (*.cor)|*.cor"] |
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[ad92c5a] | 32 | # List of allowed extensions |
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[a32c19c] | 33 | ext = ['.abs', '.cor'] |
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[574adc7] | 34 | |
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[ad92c5a] | 35 | def get_file_contents(self): |
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[574adc7] | 36 | """ |
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[ad92c5a] | 37 | Get the contents of the file |
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[574adc7] | 38 | |
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[959eb01] | 39 | :raise RuntimeError: when the file can't be opened |
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| 40 | :raise ValueError: when the length of the data vectors are inconsistent |
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| 41 | """ |
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[46cf4c9] | 42 | buff = self.readall() |
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[ad92c5a] | 43 | filepath = self.f_open.name |
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| 44 | lines = buff.splitlines() |
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| 45 | self.output = [] |
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| 46 | self.current_datainfo = DataInfo() |
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| 47 | self.current_datainfo.filename = filepath |
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| 48 | detector = Detector() |
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| 49 | data_line = 0 |
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| 50 | self.reset_data_list(len(lines)) |
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| 51 | self.current_datainfo.detector.append(detector) |
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| 52 | self.current_datainfo.filename = filepath |
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| 53 | |
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| 54 | is_info = False |
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| 55 | is_center = False |
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| 56 | is_data_started = False |
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| 57 | |
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| 58 | base_q_unit = '1/A' |
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| 59 | base_i_unit = '1/cm' |
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| 60 | data_conv_q = Converter(base_q_unit) |
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| 61 | data_conv_i = Converter(base_i_unit) |
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| 62 | |
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| 63 | for line in lines: |
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| 64 | # Information line 1 |
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| 65 | if is_info: |
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| 66 | is_info = False |
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| 67 | line_toks = line.split() |
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| 68 | |
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| 69 | # Wavelength in Angstrom |
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[959eb01] | 70 | try: |
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[ad92c5a] | 71 | value = float(line_toks[1]) |
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[46cf4c9] | 72 | if self.current_datainfo.source.wavelength_unit != 'A': |
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[ad92c5a] | 73 | conv = Converter('A') |
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| 74 | self.current_datainfo.source.wavelength = conv(value, |
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| 75 | units=self.current_datainfo.source.wavelength_unit) |
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| 76 | else: |
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| 77 | self.current_datainfo.source.wavelength = value |
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| 78 | except KeyError: |
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| 79 | msg = "ABSReader cannot read wavelength from %s" % filepath |
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| 80 | self.current_datainfo.errors.append(msg) |
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| 81 | |
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| 82 | # Detector distance in meters |
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| 83 | try: |
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| 84 | value = float(line_toks[3]) |
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[46cf4c9] | 85 | if detector.distance_unit != 'm': |
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[ad92c5a] | 86 | conv = Converter('m') |
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| 87 | detector.distance = conv(value, |
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| 88 | units=detector.distance_unit) |
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| 89 | else: |
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| 90 | detector.distance = value |
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[46cf4c9] | 91 | except Exception: |
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[ad92c5a] | 92 | msg = "ABSReader cannot read SDD from %s" % filepath |
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| 93 | self.current_datainfo.errors.append(msg) |
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| 94 | |
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| 95 | # Transmission |
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| 96 | try: |
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| 97 | self.current_datainfo.sample.transmission = \ |
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| 98 | float(line_toks[4]) |
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| 99 | except ValueError: |
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| 100 | # Transmission isn't always in the header |
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| 101 | pass |
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| 102 | |
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| 103 | # Sample thickness in mm |
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| 104 | try: |
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[9e6aeaf] | 105 | # ABS writer adds 'C' with no space to the end of the |
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| 106 | # thickness column. Remove it if it is there before |
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| 107 | # converting the thickness. |
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[1efbc190] | 108 | if line_toks[5][-1] not in '012345679.': |
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[9e6aeaf] | 109 | value = float(line_toks[5][:-1]) |
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| 110 | else: |
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| 111 | value = float(line_toks[5]) |
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[46cf4c9] | 112 | if self.current_datainfo.sample.thickness_unit != 'cm': |
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[ad92c5a] | 113 | conv = Converter('cm') |
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| 114 | self.current_datainfo.sample.thickness = conv(value, |
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| 115 | units=self.current_datainfo.sample.thickness_unit) |
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| 116 | else: |
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| 117 | self.current_datainfo.sample.thickness = value |
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| 118 | except ValueError: |
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| 119 | # Thickness is not a mandatory entry |
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| 120 | pass |
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| 121 | |
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| 122 | # MON CNT LAMBDA DET ANG DET DIST TRANS THICK AVE STEP |
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| 123 | if line.count("LAMBDA") > 0: |
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| 124 | is_info = True |
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| 125 | |
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| 126 | # Find center info line |
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| 127 | if is_center: |
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[959eb01] | 128 | is_center = False |
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[ad92c5a] | 129 | line_toks = line.split() |
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| 130 | # Center in bin number |
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| 131 | center_x = float(line_toks[0]) |
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| 132 | center_y = float(line_toks[1]) |
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| 133 | |
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| 134 | # Bin size |
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[46cf4c9] | 135 | if detector.pixel_size_unit != 'mm': |
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[ad92c5a] | 136 | conv = Converter('mm') |
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| 137 | detector.pixel_size.x = conv(5.08, |
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| 138 | units=detector.pixel_size_unit) |
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| 139 | detector.pixel_size.y = conv(5.08, |
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| 140 | units=detector.pixel_size_unit) |
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[959eb01] | 141 | else: |
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[ad92c5a] | 142 | detector.pixel_size.x = 5.08 |
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| 143 | detector.pixel_size.y = 5.08 |
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| 144 | |
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| 145 | # Store beam center in distance units |
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| 146 | # Det 640 x 640 mm |
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[46cf4c9] | 147 | if detector.beam_center_unit != 'mm': |
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[ad92c5a] | 148 | conv = Converter('mm') |
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| 149 | detector.beam_center.x = conv(center_x * 5.08, |
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| 150 | units=detector.beam_center_unit) |
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| 151 | detector.beam_center.y = conv(center_y * 5.08, |
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[46cf4c9] | 152 | units=detector.beam_center_unit) |
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[959eb01] | 153 | else: |
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[ad92c5a] | 154 | detector.beam_center.x = center_x * 5.08 |
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| 155 | detector.beam_center.y = center_y * 5.08 |
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| 156 | |
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| 157 | # Detector type |
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| 158 | try: |
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| 159 | detector.name = line_toks[7] |
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| 160 | except: |
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| 161 | # Detector name is not a mandatory entry |
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| 162 | pass |
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| 163 | |
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| 164 | # BCENT(X,Y) A1(mm) A2(mm) A1A2DIST(m) DL/L BSTOP(mm) DET_TYP |
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| 165 | if line.count("BCENT") > 0: |
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| 166 | is_center = True |
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| 167 | |
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| 168 | # Parse the data |
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| 169 | if is_data_started: |
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| 170 | toks = line.split() |
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| 171 | |
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| 172 | try: |
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[bd5c3b1] | 173 | _x = float(toks[4]) |
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[ad92c5a] | 174 | _y = float(toks[1]) |
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| 175 | _dy = float(toks[2]) |
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| 176 | _dx = float(toks[3]) |
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| 177 | |
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| 178 | if data_conv_q is not None: |
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| 179 | _x = data_conv_q(_x, units=base_q_unit) |
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| 180 | _dx = data_conv_q(_dx, units=base_q_unit) |
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| 181 | |
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| 182 | if data_conv_i is not None: |
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| 183 | _y = data_conv_i(_y, units=base_i_unit) |
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| 184 | _dy = data_conv_i(_dy, units=base_i_unit) |
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| 185 | |
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| 186 | self.current_dataset.x[data_line] = _x |
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| 187 | self.current_dataset.y[data_line] = _y |
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| 188 | self.current_dataset.dy[data_line] = _dy |
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[11112b2] | 189 | if _dx > 0: |
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| 190 | self.current_dataset.dx[data_line] = _dx |
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| 191 | else: |
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| 192 | if data_line == 0: |
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| 193 | self.current_dataset.dx = None |
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| 194 | self.current_dataset.dxl = np.zeros(len(lines)) |
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| 195 | self.current_dataset.dxw = np.zeros(len(lines)) |
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| 196 | self.current_dataset.dxl[data_line] = abs(_dx) |
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| 197 | self.current_dataset.dxw[data_line] = 0 |
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[ad92c5a] | 198 | data_line += 1 |
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| 199 | |
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| 200 | except ValueError: |
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| 201 | # Could not read this data line. If we are here |
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| 202 | # it is because we are in the data section. Just |
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| 203 | # skip it. |
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| 204 | pass |
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| 205 | |
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[11112b2] | 206 | # SANS Data: |
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[ad92c5a] | 207 | # The 6 columns are | Q (1/A) | I(Q) (1/cm) | std. dev. |
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| 208 | # I(Q) (1/cm) | sigmaQ | meanQ | ShadowFactor| |
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[11112b2] | 209 | # USANS Data: |
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| 210 | # EMP LEVEL: <value> ; BKG LEVEL: <value> |
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[e3775c6] | 211 | if line.startswith("The 6 columns") or line.startswith("EMP LEVEL"): |
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[ad92c5a] | 212 | is_data_started = True |
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| 213 | |
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[7b07fbe] | 214 | self.remove_empty_q_values() |
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[ad92c5a] | 215 | |
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| 216 | # Sanity check |
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| 217 | if not len(self.current_dataset.y) == len(self.current_dataset.dy): |
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| 218 | self.set_all_to_none() |
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| 219 | msg = "abs_reader: y and dy have different length" |
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| 220 | raise ValueError(msg) |
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| 221 | # If the data length is zero, consider this as |
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| 222 | # though we were not able to read the file. |
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| 223 | if len(self.current_dataset.x) == 0: |
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| 224 | self.set_all_to_none() |
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| 225 | raise ValueError("ascii_reader: could not load file") |
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| 226 | |
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| 227 | if data_conv_q is not None: |
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| 228 | self.current_dataset.xaxis("\\rm{Q}", base_q_unit) |
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[959eb01] | 229 | else: |
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[ad92c5a] | 230 | self.current_dataset.xaxis("\\rm{Q}", 'A^{-1}') |
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| 231 | if data_conv_i is not None: |
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| 232 | self.current_dataset.yaxis("\\rm{Intensity}", base_i_unit) |
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| 233 | else: |
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| 234 | self.current_dataset.yaxis("\\rm{Intensity}", "cm^{-1}") |
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| 235 | |
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| 236 | # Store loading process information |
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| 237 | self.current_datainfo.meta_data['loader'] = self.type_name |
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| 238 | self.send_to_output() |
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