1 | """ |
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2 | This software was developed by the University of Tennessee as part of the |
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3 | Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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4 | project funded by the US National Science Foundation. |
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5 | |
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6 | See the license text in license.txt |
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7 | |
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8 | copyright 2008, University of Tennessee |
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9 | """ |
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10 | |
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11 | import numpy |
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12 | import os |
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13 | from DataLoader.data_info import Data1D |
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14 | |
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15 | # Check whether we have a converter available |
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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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22 | class Reader(object): |
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23 | """ |
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24 | Class to load HFIR 1D 4-column files |
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25 | """ |
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26 | ## File type |
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27 | type = ["HFIR 1D files (*.d1d)|*.d1d"] |
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28 | ## List of allowed extensions |
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29 | ext=['.d1d'] |
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30 | |
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31 | def read(self, path): |
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32 | """ |
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33 | Load data file |
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34 | |
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35 | @param path: file path |
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36 | @return: Data1D object, or None |
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37 | @raise RuntimeError: when the file can't be opened |
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38 | @raise ValueError: when the length of the data vectors are inconsistent |
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39 | """ |
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40 | if os.path.isfile(path): |
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41 | basename = os.path.basename(path) |
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42 | root, extension = os.path.splitext(basename) |
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43 | if extension.lower() in self.ext: |
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44 | try: |
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45 | input_f = open(path,'r') |
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46 | except : |
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47 | raise RuntimeError, "hfir1d_reader: cannot open %s" % path |
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48 | buff = input_f.read() |
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49 | lines = buff.split('\n') |
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50 | x = numpy.zeros(0) |
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51 | y = numpy.zeros(0) |
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52 | dx = numpy.zeros(0) |
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53 | dy = numpy.zeros(0) |
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54 | output = Data1D(x, y, dx=dx, dy=dy) |
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55 | self.filename = output.filename = basename |
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56 | |
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57 | data_conv_q = None |
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58 | data_conv_i = None |
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59 | |
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60 | if has_converter == True and output.x_unit != '1/A': |
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61 | data_conv_q = Converter('1/A') |
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62 | # Test it |
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63 | data_conv_q(1.0, output.x_unit) |
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64 | |
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65 | if has_converter == True and output.y_unit != '1/cm': |
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66 | data_conv_i = Converter('1/cm') |
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67 | # Test it |
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68 | data_conv_i(1.0, output.y_unit) |
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69 | |
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70 | for line in lines: |
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71 | toks = line.split() |
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72 | try: |
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73 | _x = float(toks[0]) |
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74 | _y = float(toks[1]) |
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75 | _dx = float(toks[3]) |
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76 | _dy = float(toks[2]) |
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77 | |
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78 | if data_conv_q is not None: |
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79 | _x = data_conv_q(_x, units=output.x_unit) |
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80 | _dx = data_conv_q(_dx, units=output.x_unit) |
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81 | |
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82 | if data_conv_i is not None: |
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83 | _y = data_conv_i(_y, units=output.y_unit) |
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84 | _dy = data_conv_i(_dy, units=output.y_unit) |
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85 | |
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86 | |
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87 | x = numpy.append(x, _x) |
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88 | y = numpy.append(y, _y) |
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89 | dx = numpy.append(dx, _dx) |
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90 | dy = numpy.append(dy, _dy) |
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91 | except: |
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92 | # Couldn't parse this line, skip it |
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93 | pass |
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94 | |
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95 | |
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96 | # Sanity check |
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97 | if not len(y) == len(dy): |
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98 | raise RuntimeError, "hfir1d_reader: y and dy have different length" |
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99 | if not len(x) == len(dx): |
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100 | raise RuntimeError, "hfir1d_reader: x and dx have different length" |
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101 | |
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102 | # If the data length is zero, consider this as |
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103 | # though we were not able to read the file. |
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104 | if len(x)==0: |
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105 | raise RuntimeError, "hfir1d_reader: could not load file" |
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106 | |
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107 | output.x = x |
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108 | output.y = y |
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109 | output.dy = dy |
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110 | output.dx = dx |
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111 | if data_conv_q is not None: |
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112 | output.xaxis("\\rm{Q}", output.x_unit) |
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113 | else: |
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114 | output.xaxis("\\rm{Q}", 'A^{-1}') |
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115 | if data_conv_i is not None: |
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116 | output.yaxis("\\rm{Intensity}", output.y_unit) |
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117 | else: |
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118 | output.yaxis("\\rm{Intensity}","cm^{-1}") |
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119 | |
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120 | return output |
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121 | else: |
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122 | raise RuntimeError, "%s is not a file" % path |
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123 | return None |
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124 | |
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125 | if __name__ == "__main__": |
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126 | reader = Reader() |
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127 | print reader.read("../test/S2-30dq.d1d") |
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128 | |
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129 | |
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130 | |
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