1 | """ |
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2 | SESANS reader (based on ASCII reader) |
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3 | |
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4 | Reader for .ses or .sesans file format |
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5 | |
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6 | Jurrian Bakker |
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7 | """ |
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8 | import numpy as np |
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9 | import os |
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10 | from sas.sascalc.dataloader.file_reader_base_class import FileReader |
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11 | from sas.sascalc.dataloader.data_info import plottable_1D, DataInfo |
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12 | from sas.sascalc.dataloader.loader_exceptions import FileContentsException, DataReaderException |
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13 | |
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14 | # Check whether we have a converter available |
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15 | has_converter = True |
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16 | try: |
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17 | from sas.sascalc.data_util.nxsunit import Converter |
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18 | except: |
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19 | has_converter = False |
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20 | _ZERO = 1e-16 |
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21 | |
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22 | class Reader(FileReader): |
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23 | """ |
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24 | Class to load sesans files (6 columns). |
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25 | """ |
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26 | # File type |
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27 | type_name = "SESANS" |
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28 | |
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29 | ## Wildcards |
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30 | type = ["SESANS files (*.ses)|*.ses", |
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31 | "SESANS files (*..sesans)|*.sesans"] |
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32 | # List of allowed extensions |
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33 | ext = ['.ses', '.SES', '.sesans', '.SESANS'] |
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34 | |
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35 | # Flag to bypass extension check |
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36 | allow_all = True |
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37 | |
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38 | def get_file_contents(self): |
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39 | self.current_datainfo = DataInfo() |
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40 | self.current_dataset = plottable_1D(np.array([]), np.array([])) |
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41 | self.current_datainfo.isSesans = True |
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42 | self.output = [] |
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43 | |
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44 | line = self.f_open.readline() |
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45 | params = {} |
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46 | while not line.startswith("BEGIN_DATA"): |
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47 | terms = line.split() |
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48 | if len(terms) >= 2: |
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49 | params[terms[0]] = " ".join(terms[1:]) |
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50 | line = self.f_open.readline() |
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51 | self.params = params |
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52 | |
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53 | if "FileFormatVersion" not in self.params: |
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54 | raise FileContentsException("SES file missing FileFormatVersion") |
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55 | if float(self.params["FileFormatVersion"]) >= 2.0: |
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56 | raise FileContentsException("SASView only supports SES version 1") |
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57 | |
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58 | if "SpinEchoLength_unit" not in self.params: |
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59 | raise FileContentsException("SpinEchoLength has no units") |
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60 | if "Wavelength_unit" not in self.params: |
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61 | raise FileContentsException("Wavelength has no units") |
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62 | if params["SpinEchoLength_unit"] != params["Wavelength_unit"]: |
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63 | raise FileContentsException("The spin echo data has rudely used " |
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64 | "different units for the spin echo length " |
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65 | "and the wavelength. While sasview could " |
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66 | "handle this instance, it is a violation " |
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67 | "of the file format and will not be " |
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68 | "handled by other software.") |
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69 | |
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70 | headers = self.f_open.readline().split() |
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71 | |
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72 | self._insist_header(headers, "SpinEchoLength") |
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73 | self._insist_header(headers, "Depolarisation") |
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74 | self._insist_header(headers, "Depolarisation_error") |
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75 | self._insist_header(headers, "Wavelength") |
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76 | |
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77 | data = np.loadtxt(self.f_open) |
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78 | |
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79 | if data.shape[1] != len(headers): |
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80 | raise FileContentsException( |
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81 | "File has {} headers, but {} columns".format( |
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82 | len(headers), |
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83 | data.shape[1])) |
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84 | |
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85 | if not data.size: |
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86 | raise FileContentsException("{} is empty".format(path)) |
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87 | x = data[:, headers.index("SpinEchoLength")] |
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88 | if "SpinEchoLength_error" in headers: |
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89 | dx = data[:, headers.index("SpinEchoLength_error")] |
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90 | else: |
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91 | dx = x * 0.05 |
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92 | lam = data[:, headers.index("Wavelength")] |
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93 | if "Wavelength_error" in headers: |
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94 | dlam = data[:, headers.index("Wavelength_error")] |
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95 | else: |
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96 | dlam = lam * 0.05 |
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97 | y = data[:, headers.index("Depolarisation")] |
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98 | dy = data[:, headers.index("Depolarisation_error")] |
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99 | |
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100 | lam_unit = self._unit_fetch("Wavelength") |
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101 | x, x_unit = self._unit_conversion(x, "A", |
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102 | self._unit_fetch( |
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103 | "SpinEchoLength")) |
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104 | dx, dx_unit = self._unit_conversion( |
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105 | dx, lam_unit, |
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106 | self._unit_fetch("SpinEchoLength")) |
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107 | dlam, dlam_unit = self._unit_conversion( |
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108 | dlam, lam_unit, |
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109 | self._unit_fetch("Wavelength")) |
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110 | y_unit = self._unit_fetch("Depolarisation") |
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111 | |
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112 | self.current_dataset.x = x |
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113 | self.current_dataset.y = y |
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114 | self.current_dataset.lam = lam |
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115 | self.current_dataset.dy = dy |
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116 | self.current_dataset.dx = dx |
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117 | self.current_dataset.dlam = dlam |
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118 | self.current_datainfo.isSesans = True |
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119 | |
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120 | self.current_datainfo._yunit = y_unit |
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121 | self.current_datainfo._xunit = x_unit |
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122 | self.current_datainfo.source.wavelength_unit = lam_unit |
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123 | self.current_datainfo.source.wavelength = lam |
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124 | self.current_datainfo.filename = os.path.basename(self.f_open.name) |
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125 | self.current_dataset.xaxis(r"\rm{z}", x_unit) |
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126 | # Adjust label to ln P/(lam^2 t), remove lam column refs |
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127 | self.current_dataset.yaxis(r"\rm{ln(P)/(t \lambda^2)}", y_unit) |
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128 | # Store loading process information |
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129 | self.current_datainfo.meta_data['loader'] = self.type_name |
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130 | self.current_datainfo.sample.name = params["Sample"] |
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131 | self.current_datainfo.sample.ID = params["DataFileTitle"] |
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132 | self.current_datainfo.sample.thickness = self._unit_conversion( |
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133 | float(params["Thickness"]), "cm", |
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134 | self._unit_fetch("Thickness"))[0] |
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135 | |
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136 | self.current_datainfo.sample.zacceptance = ( |
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137 | float(params["Theta_zmax"]), |
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138 | self._unit_fetch("Theta_zmax")) |
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139 | |
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140 | self.current_datainfo.sample.yacceptance = ( |
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141 | float(params["Theta_ymax"]), |
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142 | self._unit_fetch("Theta_ymax")) |
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143 | |
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144 | self.send_to_output() |
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145 | |
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146 | @staticmethod |
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147 | def _insist_header(headers, name): |
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148 | if name not in headers: |
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149 | raise FileContentsException( |
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150 | "Missing {} column in spin echo data".format(name)) |
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151 | |
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152 | @staticmethod |
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153 | def _unit_conversion(value, value_unit, default_unit): |
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154 | """ |
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155 | Performs unit conversion on a measurement. |
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156 | |
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157 | :param value: The magnitude of the measurement |
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158 | :param value_unit: a string containing the final desired unit |
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159 | :param default_unit: string with the units of the original measurement |
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160 | :return: The magnitude of the measurement in the new units |
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161 | """ |
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162 | # (float, string, string) -> float |
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163 | if has_converter and value_unit != default_unit: |
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164 | data_conv_q = Converter(default_unit) |
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165 | value = data_conv_q(value, units=value_unit) |
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166 | new_unit = default_unit |
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167 | else: |
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168 | new_unit = value_unit |
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169 | return value, new_unit |
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170 | |
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171 | def _unit_fetch(self, unit): |
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172 | return self.params[unit+"_unit"] |
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