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 os |
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9 | |
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10 | import numpy as np |
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11 | |
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12 | from ..file_reader_base_class import FileReader |
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13 | from ..data_info import plottable_1D, DataInfo |
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14 | from ..loader_exceptions import FileContentsException |
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15 | |
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16 | # Check whether we have a converter available |
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17 | has_converter = True |
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18 | try: |
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19 | from sas.sascalc.data_util.nxsunit import Converter |
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20 | except ImportError: |
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21 | has_converter = False |
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22 | _ZERO = 1e-16 |
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23 | |
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24 | class Reader(FileReader): |
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25 | """ |
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26 | Class to load sesans files (6 columns). |
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27 | """ |
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28 | # File type |
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29 | type_name = "SESANS" |
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30 | |
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31 | ## Wildcards |
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32 | type = ["SESANS files (*.ses)|*.ses", |
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33 | "SESANS files (*..sesans)|*.sesans"] |
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34 | # List of allowed extensions |
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35 | ext = ['.ses', '.SES', '.sesans', '.SESANS'] |
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36 | |
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37 | # Flag to bypass extension check |
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38 | allow_all = True |
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39 | |
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40 | def get_file_contents(self): |
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41 | self.current_datainfo = DataInfo() |
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42 | self.current_dataset = plottable_1D(np.array([]), np.array([])) |
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43 | self.current_datainfo.isSesans = True |
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44 | self.output = [] |
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45 | |
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46 | line = self.nextline() |
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47 | params = {} |
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48 | while line and not line.startswith("BEGIN_DATA"): |
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49 | terms = line.split() |
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50 | if len(terms) >= 2: |
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51 | params[terms[0]] = " ".join(terms[1:]) |
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52 | line = self.nextline() |
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53 | self.params = params |
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54 | |
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55 | if "FileFormatVersion" not in self.params: |
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56 | raise FileContentsException("SES file missing FileFormatVersion") |
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57 | if float(self.params["FileFormatVersion"]) >= 2.0: |
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58 | raise FileContentsException("SASView only supports SES version 1") |
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59 | |
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60 | if "SpinEchoLength_unit" not in self.params: |
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61 | raise FileContentsException("SpinEchoLength has no units") |
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62 | if "Wavelength_unit" not in self.params: |
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63 | raise FileContentsException("Wavelength has no units") |
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64 | if params["SpinEchoLength_unit"] != params["Wavelength_unit"]: |
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65 | raise FileContentsException( |
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66 | "The spin echo data has rudely used " |
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67 | "different units for the spin echo length " |
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68 | "and the wavelength. While sasview could " |
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69 | "handle this instance, it is a violation " |
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70 | "of the file format and will not be " |
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71 | "handled by other software.") |
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72 | |
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73 | headers = self.nextline().split() |
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74 | |
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75 | self._insist_header(headers, "SpinEchoLength") |
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76 | self._insist_header(headers, "Depolarisation") |
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77 | self._insist_header(headers, "Depolarisation_error") |
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78 | self._insist_header(headers, "Wavelength") |
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79 | |
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80 | data = np.loadtxt(self.f_open) |
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81 | |
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82 | if data.shape[1] != len(headers): |
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83 | raise FileContentsException( |
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84 | "File has {} headers, but {} columns".format( |
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85 | len(headers), |
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86 | data.shape[1])) |
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87 | |
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88 | if not data.size: |
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89 | raise FileContentsException("{} is empty".format(self.filepath)) |
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90 | x = data[:, headers.index("SpinEchoLength")] |
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91 | if "SpinEchoLength_error" in headers: |
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92 | dx = data[:, headers.index("SpinEchoLength_error")] |
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93 | else: |
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94 | dx = x * 0.05 |
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95 | lam = data[:, headers.index("Wavelength")] |
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96 | if "Wavelength_error" in headers: |
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97 | dlam = data[:, headers.index("Wavelength_error")] |
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98 | else: |
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99 | dlam = lam * 0.05 |
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100 | y = data[:, headers.index("Depolarisation")] |
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101 | dy = data[:, headers.index("Depolarisation_error")] |
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102 | |
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103 | lam_unit = self._unit_fetch("Wavelength") |
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104 | x, x_unit = self._unit_conversion(x, "A", |
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105 | self._unit_fetch( |
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106 | "SpinEchoLength")) |
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107 | dx, dx_unit = self._unit_conversion( |
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108 | dx, lam_unit, |
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109 | self._unit_fetch("SpinEchoLength")) |
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110 | dlam, dlam_unit = self._unit_conversion( |
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111 | dlam, lam_unit, |
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112 | self._unit_fetch("Wavelength")) |
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113 | y_unit = self._unit_fetch("Depolarisation") |
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114 | |
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115 | self.current_dataset.x = x |
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116 | self.current_dataset.y = y |
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117 | self.current_dataset.lam = lam |
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118 | self.current_dataset.dy = dy |
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119 | self.current_dataset.dx = dx |
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120 | self.current_dataset.dlam = dlam |
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121 | self.current_datainfo.isSesans = True |
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122 | |
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123 | self.current_datainfo._yunit = y_unit |
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124 | self.current_datainfo._xunit = x_unit |
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125 | self.current_datainfo.source.wavelength_unit = lam_unit |
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126 | self.current_datainfo.source.wavelength = lam |
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127 | self.current_datainfo.filename = os.path.basename(self.f_open.name) |
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128 | self.current_dataset.xaxis(r"\rm{z}", x_unit) |
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129 | # Adjust label to ln P/(lam^2 t), remove lam column refs |
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130 | self.current_dataset.yaxis(r"\rm{ln(P)/(t \lambda^2)}", y_unit) |
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131 | # Store loading process information |
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132 | self.current_datainfo.meta_data['loader'] = self.type_name |
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133 | self.current_datainfo.sample.name = params["Sample"] |
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134 | self.current_datainfo.sample.ID = params["DataFileTitle"] |
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135 | self.current_datainfo.sample.thickness = self._unit_conversion( |
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136 | float(params["Thickness"]), "cm", |
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137 | self._unit_fetch("Thickness"))[0] |
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138 | |
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139 | self.current_datainfo.sample.zacceptance = ( |
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140 | float(params["Theta_zmax"]), |
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141 | self._unit_fetch("Theta_zmax")) |
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142 | |
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143 | self.current_datainfo.sample.yacceptance = ( |
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144 | float(params["Theta_ymax"]), |
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145 | self._unit_fetch("Theta_ymax")) |
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146 | |
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147 | self.send_to_output() |
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148 | |
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149 | @staticmethod |
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150 | def _insist_header(headers, name): |
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151 | if name not in headers: |
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152 | raise FileContentsException( |
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153 | "Missing {} column in spin echo data".format(name)) |
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154 | |
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155 | @staticmethod |
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156 | def _unit_conversion(value, value_unit, default_unit): |
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157 | """ |
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158 | Performs unit conversion on a measurement. |
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159 | |
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160 | :param value: The magnitude of the measurement |
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161 | :param value_unit: a string containing the final desired unit |
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162 | :param default_unit: string with the units of the original measurement |
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163 | :return: The magnitude of the measurement in the new units |
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164 | """ |
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165 | # (float, string, string) -> float |
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166 | if has_converter and value_unit != default_unit: |
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167 | data_conv_q = Converter(default_unit) |
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168 | value = data_conv_q(value, units=value_unit) |
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169 | new_unit = default_unit |
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170 | else: |
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171 | new_unit = value_unit |
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172 | return value, new_unit |
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173 | |
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174 | def _unit_fetch(self, unit): |
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175 | return self.params[unit+"_unit"] |
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