1 | """ |
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2 | CanSAS 2D data reader for reading HDF5 formatted CanSAS files. |
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3 | """ |
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4 | |
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5 | import h5py |
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6 | import numpy as np |
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7 | import re |
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8 | import os |
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9 | import sys |
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10 | |
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11 | from ..data_info import plottable_1D, plottable_2D,\ |
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12 | Data1D, Data2D, DataInfo, Process, Aperture, Collimation, \ |
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13 | TransmissionSpectrum, Detector |
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14 | from ..data_info import combine_data_info_with_plottable |
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15 | from ..loader_exceptions import FileContentsException, DefaultReaderException |
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16 | from ..file_reader_base_class import FileReader, decode |
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17 | |
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18 | def h5attr(node, key, default=None): |
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19 | return decode(node.attrs.get(key, default)) |
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20 | |
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21 | class Reader(FileReader): |
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22 | """ |
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23 | A class for reading in CanSAS v2.0 data files. The existing iteration opens |
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24 | Mantid generated HDF5 formatted files with file extension .h5/.H5. Any |
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25 | number of data sets may be present within the file and any dimensionality |
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26 | of data may be used. Currently 1D and 2D SAS data sets are supported, but |
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27 | future implementations will include 1D and 2D SESANS data. |
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28 | |
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29 | Any number of SASdata sets may be present in a SASentry and the data within |
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30 | can be either 1D I(Q) or 2D I(Qx, Qy). |
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31 | |
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32 | Also supports reading NXcanSAS formatted HDF5 files |
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33 | |
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34 | :Dependencies: |
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35 | The CanSAS HDF5 reader requires h5py => v2.5.0 or later. |
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36 | """ |
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37 | |
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38 | # CanSAS version |
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39 | cansas_version = 2.0 |
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40 | # Logged warnings or messages |
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41 | logging = None |
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42 | # List of errors for the current data set |
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43 | errors = None |
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44 | # Raw file contents to be processed |
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45 | raw_data = None |
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46 | # List of plottable1D objects that should be linked to the current_datainfo |
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47 | data1d = None |
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48 | # List of plottable2D objects that should be linked to the current_datainfo |
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49 | data2d = None |
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50 | # Data type name |
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51 | type_name = "CanSAS 2.0" |
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52 | # Wildcards |
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53 | type = ["CanSAS 2.0 HDF5 Files (*.h5)|*.h5"] |
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54 | # List of allowed extensions |
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55 | ext = ['.h5', '.H5'] |
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56 | # Flag to bypass extension check |
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57 | allow_all = True |
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58 | |
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59 | def get_file_contents(self): |
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60 | """ |
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61 | This is the general read method that all SasView data_loaders must have. |
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62 | |
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63 | :param filename: A path for an HDF5 formatted CanSAS 2D data file. |
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64 | :return: List of Data1D/2D objects and/or a list of errors. |
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65 | """ |
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66 | # Reinitialize when loading a new data file to reset all class variables |
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67 | self.reset_class_variables() |
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68 | |
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69 | filename = self.f_open.name |
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70 | self.f_open.close() # IO handled by h5py |
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71 | |
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72 | # Check that the file exists |
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73 | if os.path.isfile(filename): |
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74 | basename = os.path.basename(filename) |
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75 | _, extension = os.path.splitext(basename) |
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76 | # If the file type is not allowed, return empty list |
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77 | if extension in self.ext or self.allow_all: |
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78 | # Load the data file |
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79 | try: |
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80 | self.raw_data = h5py.File(filename, 'r') |
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81 | except Exception as e: |
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82 | if extension not in self.ext: |
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83 | msg = "CanSAS2.0 HDF5 Reader could not load file {}".format(basename + extension) |
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84 | raise DefaultReaderException(msg) |
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85 | raise FileContentsException(e.message) |
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86 | try: |
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87 | # Read in all child elements of top level SASroot |
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88 | self.read_children(self.raw_data, []) |
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89 | # Add the last data set to the list of outputs |
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90 | self.add_data_set() |
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91 | except Exception as exc: |
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92 | raise FileContentsException(exc.message) |
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93 | finally: |
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94 | # Close the data file |
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95 | self.raw_data.close() |
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96 | |
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97 | for dataset in self.output: |
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98 | if isinstance(dataset, Data1D): |
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99 | if dataset.x.size < 5: |
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100 | self.output = [] |
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101 | raise FileContentsException("Fewer than 5 data points found.") |
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102 | |
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103 | def reset_class_variables(self): |
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104 | """ |
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105 | Create the reader object and define initial states for class variables |
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106 | """ |
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107 | self.current_datainfo = None |
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108 | self.current_dataset = None |
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109 | self.data1d = [] |
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110 | self.data2d = [] |
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111 | self.raw_data = None |
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112 | self.errors = set() |
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113 | self.logging = [] |
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114 | self.output = [] |
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115 | self.parent_class = u'' |
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116 | self.detector = Detector() |
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117 | self.collimation = Collimation() |
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118 | self.aperture = Aperture() |
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119 | self.process = Process() |
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120 | self.trans_spectrum = TransmissionSpectrum() |
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121 | |
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122 | def read_children(self, data, parent_list): |
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123 | """ |
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124 | A recursive method for stepping through the hierarchical data file. |
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125 | |
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126 | :param data: h5py Group object of any kind |
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127 | :param parent: h5py Group parent name |
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128 | """ |
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129 | |
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130 | # Loop through each element of the parent and process accordingly |
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131 | for key in data.keys(): |
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132 | # Get all information for the current key |
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133 | value = data.get(key) |
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134 | class_name = h5attr(value, u'canSAS_class') |
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135 | if class_name is None: |
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136 | class_name = h5attr(value, u'NX_class') |
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137 | if class_name is not None: |
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138 | class_prog = re.compile(class_name) |
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139 | else: |
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140 | class_prog = re.compile(value.name) |
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141 | |
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142 | if isinstance(value, h5py.Group): |
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143 | # Set parent class before recursion |
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144 | self.parent_class = class_name |
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145 | parent_list.append(key) |
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146 | # If a new sasentry, store the current data sets and create |
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147 | # a fresh Data1D/2D object |
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148 | if class_prog.match(u'SASentry'): |
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149 | self.add_data_set(key) |
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150 | elif class_prog.match(u'SASdata'): |
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151 | self._initialize_new_data_set(parent_list) |
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152 | # Recursion step to access data within the group |
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153 | self.read_children(value, parent_list) |
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154 | # Reset parent class when returning from recursive method |
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155 | self.parent_class = class_name |
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156 | self.add_intermediate() |
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157 | parent_list.remove(key) |
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158 | |
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159 | elif isinstance(value, h5py.Dataset): |
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160 | # If this is a dataset, store the data appropriately |
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161 | data_set = data[key][:] |
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162 | unit = self._get_unit(value) |
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163 | |
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164 | # I and Q Data |
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165 | if key == u'I': |
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166 | if isinstance(self.current_dataset, plottable_2D): |
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167 | self.current_dataset.data = data_set |
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168 | self.current_dataset.zaxis("Intensity", unit) |
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169 | else: |
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170 | self.current_dataset.y = data_set.flatten() |
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171 | self.current_dataset.yaxis("Intensity", unit) |
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172 | continue |
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173 | elif key == u'Idev': |
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174 | if isinstance(self.current_dataset, plottable_2D): |
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175 | self.current_dataset.err_data = data_set.flatten() |
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176 | else: |
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177 | self.current_dataset.dy = data_set.flatten() |
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178 | continue |
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179 | elif key == u'Q': |
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180 | self.current_dataset.xaxis("Q", unit) |
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181 | if isinstance(self.current_dataset, plottable_2D): |
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182 | self.current_dataset.q = data_set.flatten() |
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183 | else: |
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184 | self.current_dataset.x = data_set.flatten() |
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185 | continue |
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186 | elif key == u'Qdev': |
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187 | self.current_dataset.dx = data_set.flatten() |
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188 | continue |
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189 | elif key == u'dQw': |
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190 | self.current_dataset.dxw = data_set.flatten() |
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191 | continue |
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192 | elif key == u'dQl': |
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193 | self.current_dataset.dxl = data_set.flatten() |
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194 | continue |
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195 | elif key == u'Qy': |
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196 | self.current_dataset.yaxis("Q_y", unit) |
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197 | self.current_dataset.qy_data = data_set.flatten() |
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198 | continue |
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199 | elif key == u'Qydev': |
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200 | self.current_dataset.dqy_data = data_set.flatten() |
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201 | continue |
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202 | elif key == u'Qx': |
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203 | self.current_dataset.xaxis("Q_x", unit) |
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204 | self.current_dataset.qx_data = data_set.flatten() |
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205 | continue |
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206 | elif key == u'Qxdev': |
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207 | self.current_dataset.dqx_data = data_set.flatten() |
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208 | continue |
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209 | elif key == u'Mask': |
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210 | self.current_dataset.mask = data_set.flatten() |
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211 | continue |
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212 | # Transmission Spectrum |
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213 | elif (key == u'T' |
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214 | and self.parent_class == u'SAStransmission_spectrum'): |
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215 | self.trans_spectrum.transmission = data_set.flatten() |
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216 | continue |
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217 | elif (key == u'Tdev' |
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218 | and self.parent_class == u'SAStransmission_spectrum'): |
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219 | self.trans_spectrum.transmission_deviation = \ |
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220 | data_set.flatten() |
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221 | continue |
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222 | elif (key == u'lambda' |
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223 | and self.parent_class == u'SAStransmission_spectrum'): |
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224 | self.trans_spectrum.wavelength = data_set.flatten() |
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225 | continue |
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226 | |
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227 | for data_point in data_set: |
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228 | if isinstance(data_point, np.ndarray): |
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229 | if data_point.dtype.char == 'S': |
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230 | data_point = decode(bytes(data_point)) |
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231 | else: |
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232 | data_point = decode(data_point) |
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233 | # Top Level Meta Data |
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234 | if key == u'definition': |
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235 | self.current_datainfo.meta_data['reader'] = data_point |
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236 | elif key == u'run': |
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237 | self.current_datainfo.run.append(data_point) |
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238 | try: |
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239 | run_name = h5attr(value, 'name') |
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240 | run_dict = {data_point: run_name} |
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241 | self.current_datainfo.run_name = run_dict |
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242 | except Exception: |
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243 | pass |
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244 | elif key == u'title': |
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245 | self.current_datainfo.title = data_point |
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246 | elif key == u'SASnote': |
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247 | self.current_datainfo.notes.append(data_point) |
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248 | |
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249 | # Sample Information |
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250 | # CanSAS 2.0 format |
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251 | elif key == u'Title' and self.parent_class == u'SASsample': |
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252 | self.current_datainfo.sample.name = data_point |
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253 | # NXcanSAS format |
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254 | elif key == u'name' and self.parent_class == u'SASsample': |
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255 | self.current_datainfo.sample.name = data_point |
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256 | # NXcanSAS format |
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257 | elif key == u'ID' and self.parent_class == u'SASsample': |
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258 | self.current_datainfo.sample.name = data_point |
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259 | elif (key == u'thickness' |
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260 | and self.parent_class == u'SASsample'): |
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261 | self.current_datainfo.sample.thickness = data_point |
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262 | elif (key == u'temperature' |
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263 | and self.parent_class == u'SASsample'): |
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264 | self.current_datainfo.sample.temperature = data_point |
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265 | elif (key == u'transmission' |
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266 | and self.parent_class == u'SASsample'): |
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267 | self.current_datainfo.sample.transmission = data_point |
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268 | elif (key == u'x_position' |
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269 | and self.parent_class == u'SASsample'): |
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270 | self.current_datainfo.sample.position.x = data_point |
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271 | elif (key == u'y_position' |
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272 | and self.parent_class == u'SASsample'): |
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273 | self.current_datainfo.sample.position.y = data_point |
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274 | elif key == u'pitch' and self.parent_class == u'SASsample': |
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275 | self.current_datainfo.sample.orientation.x = data_point |
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276 | elif key == u'yaw' and self.parent_class == u'SASsample': |
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277 | self.current_datainfo.sample.orientation.y = data_point |
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278 | elif key == u'roll' and self.parent_class == u'SASsample': |
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279 | self.current_datainfo.sample.orientation.z = data_point |
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280 | elif (key == u'details' |
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281 | and self.parent_class == u'SASsample'): |
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282 | self.current_datainfo.sample.details.append(data_point) |
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283 | |
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284 | # Instrumental Information |
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285 | elif (key == u'name' |
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286 | and self.parent_class == u'SASinstrument'): |
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287 | self.current_datainfo.instrument = data_point |
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288 | elif key == u'name' and self.parent_class == u'SASdetector': |
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289 | self.detector.name = data_point |
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290 | elif key == u'SDD' and self.parent_class == u'SASdetector': |
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291 | self.detector.distance = float(data_point) |
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292 | self.detector.distance_unit = unit |
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293 | elif (key == u'slit_length' |
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294 | and self.parent_class == u'SASdetector'): |
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295 | self.detector.slit_length = float(data_point) |
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296 | self.detector.slit_length_unit = unit |
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297 | elif (key == u'x_position' |
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298 | and self.parent_class == u'SASdetector'): |
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299 | self.detector.offset.x = float(data_point) |
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300 | self.detector.offset_unit = unit |
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301 | elif (key == u'y_position' |
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302 | and self.parent_class == u'SASdetector'): |
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303 | self.detector.offset.y = float(data_point) |
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304 | self.detector.offset_unit = unit |
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305 | elif (key == u'pitch' |
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306 | and self.parent_class == u'SASdetector'): |
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307 | self.detector.orientation.x = float(data_point) |
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308 | self.detector.orientation_unit = unit |
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309 | elif key == u'roll' and self.parent_class == u'SASdetector': |
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310 | self.detector.orientation.z = float(data_point) |
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311 | self.detector.orientation_unit = unit |
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312 | elif key == u'yaw' and self.parent_class == u'SASdetector': |
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313 | self.detector.orientation.y = float(data_point) |
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314 | self.detector.orientation_unit = unit |
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315 | elif (key == u'beam_center_x' |
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316 | and self.parent_class == u'SASdetector'): |
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317 | self.detector.beam_center.x = float(data_point) |
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318 | self.detector.beam_center_unit = unit |
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319 | elif (key == u'beam_center_y' |
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320 | and self.parent_class == u'SASdetector'): |
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321 | self.detector.beam_center.y = float(data_point) |
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322 | self.detector.beam_center_unit = unit |
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323 | elif (key == u'x_pixel_size' |
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324 | and self.parent_class == u'SASdetector'): |
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325 | self.detector.pixel_size.x = float(data_point) |
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326 | self.detector.pixel_size_unit = unit |
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327 | elif (key == u'y_pixel_size' |
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328 | and self.parent_class == u'SASdetector'): |
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329 | self.detector.pixel_size.y = float(data_point) |
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330 | self.detector.pixel_size_unit = unit |
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331 | elif (key == u'distance' |
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332 | and self.parent_class == u'SAScollimation'): |
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333 | self.collimation.length = data_point |
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334 | self.collimation.length_unit = unit |
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335 | elif (key == u'name' |
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336 | and self.parent_class == u'SAScollimation'): |
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337 | self.collimation.name = data_point |
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338 | elif (key == u'shape' |
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339 | and self.parent_class == u'SASaperture'): |
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340 | self.aperture.shape = data_point |
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341 | elif (key == u'x_gap' |
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342 | and self.parent_class == u'SASaperture'): |
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343 | self.aperture.size.x = data_point |
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344 | elif (key == u'y_gap' |
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345 | and self.parent_class == u'SASaperture'): |
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346 | self.aperture.size.y = data_point |
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347 | |
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348 | # Process Information |
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349 | elif (key == u'Title' |
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350 | and self.parent_class == u'SASprocess'): # CanSAS 2.0 |
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351 | self.process.name = data_point |
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352 | elif (key == u'name' |
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353 | and self.parent_class == u'SASprocess'): # NXcanSAS |
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354 | self.process.name = data_point |
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355 | elif (key == u'description' |
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356 | and self.parent_class == u'SASprocess'): |
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357 | self.process.description = data_point |
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358 | elif key == u'date' and self.parent_class == u'SASprocess': |
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359 | self.process.date = data_point |
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360 | elif key == u'term' and self.parent_class == u'SASprocess': |
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361 | self.process.term = data_point |
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362 | elif self.parent_class == u'SASprocess': |
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363 | self.process.notes.append(data_point) |
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364 | |
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365 | # Source |
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366 | elif (key == u'wavelength' |
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367 | and self.parent_class == u'SASdata'): |
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368 | self.current_datainfo.source.wavelength = data_point |
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369 | self.current_datainfo.source.wavelength_unit = unit |
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370 | elif (key == u'incident_wavelength' |
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371 | and self.parent_class == 'SASsource'): |
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372 | self.current_datainfo.source.wavelength = data_point |
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373 | self.current_datainfo.source.wavelength_unit = unit |
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374 | elif (key == u'wavelength_max' |
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375 | and self.parent_class == u'SASsource'): |
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376 | self.current_datainfo.source.wavelength_max = data_point |
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377 | self.current_datainfo.source.wavelength_max_unit = unit |
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378 | elif (key == u'wavelength_min' |
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379 | and self.parent_class == u'SASsource'): |
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380 | self.current_datainfo.source.wavelength_min = data_point |
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381 | self.current_datainfo.source.wavelength_min_unit = unit |
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382 | elif (key == u'incident_wavelength_spread' |
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383 | and self.parent_class == u'SASsource'): |
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384 | self.current_datainfo.source.wavelength_spread = \ |
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385 | data_point |
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386 | self.current_datainfo.source.wavelength_spread_unit = \ |
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387 | unit |
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388 | elif (key == u'beam_size_x' |
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389 | and self.parent_class == u'SASsource'): |
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390 | self.current_datainfo.source.beam_size.x = data_point |
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391 | self.current_datainfo.source.beam_size_unit = unit |
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392 | elif (key == u'beam_size_y' |
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393 | and self.parent_class == u'SASsource'): |
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394 | self.current_datainfo.source.beam_size.y = data_point |
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395 | self.current_datainfo.source.beam_size_unit = unit |
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396 | elif (key == u'beam_shape' |
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397 | and self.parent_class == u'SASsource'): |
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398 | self.current_datainfo.source.beam_shape = data_point |
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399 | elif (key == u'radiation' |
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400 | and self.parent_class == u'SASsource'): |
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401 | self.current_datainfo.source.radiation = data_point |
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402 | elif (key == u'transmission' |
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403 | and self.parent_class == u'SASdata'): |
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404 | self.current_datainfo.sample.transmission = data_point |
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405 | |
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406 | # Everything else goes in meta_data |
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407 | else: |
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408 | new_key = self._create_unique_key( |
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409 | self.current_datainfo.meta_data, key) |
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410 | self.current_datainfo.meta_data[new_key] = data_point |
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411 | |
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412 | else: |
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413 | # I don't know if this reachable code |
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414 | self.errors.add("ShouldNeverHappenException") |
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415 | |
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416 | def add_intermediate(self): |
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417 | """ |
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418 | This method stores any intermediate objects within the final data set |
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419 | after fully reading the set. |
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420 | |
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421 | :param parent: The NXclass name for the h5py Group object that just |
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422 | finished being processed |
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423 | """ |
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424 | |
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425 | if self.parent_class == u'SASprocess': |
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426 | self.current_datainfo.process.append(self.process) |
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427 | self.process = Process() |
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428 | elif self.parent_class == u'SASdetector': |
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429 | self.current_datainfo.detector.append(self.detector) |
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430 | self.detector = Detector() |
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431 | elif self.parent_class == u'SAStransmission_spectrum': |
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432 | self.current_datainfo.trans_spectrum.append(self.trans_spectrum) |
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433 | self.trans_spectrum = TransmissionSpectrum() |
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434 | elif self.parent_class == u'SAScollimation': |
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435 | self.current_datainfo.collimation.append(self.collimation) |
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436 | self.collimation = Collimation() |
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437 | elif self.parent_class == u'SASaperture': |
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438 | self.collimation.aperture.append(self.aperture) |
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439 | self.aperture = Aperture() |
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440 | elif self.parent_class == u'SASdata': |
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441 | if isinstance(self.current_dataset, plottable_2D): |
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442 | self.data2d.append(self.current_dataset) |
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443 | elif isinstance(self.current_dataset, plottable_1D): |
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444 | self.data1d.append(self.current_dataset) |
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445 | |
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446 | def final_data_cleanup(self): |
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447 | """ |
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448 | Does some final cleanup and formatting on self.current_datainfo and |
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449 | all data1D and data2D objects and then combines the data and info into |
---|
450 | Data1D and Data2D objects |
---|
451 | """ |
---|
452 | # Type cast data arrays to float64 |
---|
453 | if len(self.current_datainfo.trans_spectrum) > 0: |
---|
454 | spectrum_list = [] |
---|
455 | for spectrum in self.current_datainfo.trans_spectrum: |
---|
456 | spectrum.transmission = np.delete(spectrum.transmission, [0]) |
---|
457 | spectrum.transmission = spectrum.transmission.astype(np.float64) |
---|
458 | spectrum.transmission_deviation = np.delete( |
---|
459 | spectrum.transmission_deviation, [0]) |
---|
460 | spectrum.transmission_deviation = \ |
---|
461 | spectrum.transmission_deviation.astype(np.float64) |
---|
462 | spectrum.wavelength = np.delete(spectrum.wavelength, [0]) |
---|
463 | spectrum.wavelength = spectrum.wavelength.astype(np.float64) |
---|
464 | if len(spectrum.transmission) > 0: |
---|
465 | spectrum_list.append(spectrum) |
---|
466 | self.current_datainfo.trans_spectrum = spectrum_list |
---|
467 | |
---|
468 | # Append errors to dataset and reset class errors |
---|
469 | self.current_datainfo.errors = self.errors |
---|
470 | self.errors.clear() |
---|
471 | |
---|
472 | # Combine all plottables with datainfo and append each to output |
---|
473 | # Type cast data arrays to float64 and find min/max as appropriate |
---|
474 | for dataset in self.data2d: |
---|
475 | zeros = np.ones(dataset.data.size, dtype=bool) |
---|
476 | try: |
---|
477 | for i in range(0, dataset.mask.size - 1): |
---|
478 | zeros[i] = dataset.mask[i] |
---|
479 | except: |
---|
480 | self.errors.add(sys.exc_value) |
---|
481 | dataset.mask = zeros |
---|
482 | # Calculate the actual Q matrix |
---|
483 | try: |
---|
484 | if dataset.q_data.size <= 1: |
---|
485 | dataset.q_data = np.sqrt(dataset.qx_data |
---|
486 | * dataset.qx_data |
---|
487 | + dataset.qy_data |
---|
488 | * dataset.qy_data) |
---|
489 | except: |
---|
490 | dataset.q_data = None |
---|
491 | |
---|
492 | if dataset.data.ndim == 2: |
---|
493 | (n_rows, n_cols) = dataset.data.shape |
---|
494 | dataset.y_bins = dataset.qy_data[0::n_cols] |
---|
495 | dataset.x_bins = dataset.qx_data[:n_cols] |
---|
496 | dataset.data = dataset.data.flatten() |
---|
497 | self.current_dataset = dataset |
---|
498 | self.send_to_output() |
---|
499 | |
---|
500 | for dataset in self.data1d: |
---|
501 | self.current_dataset = dataset |
---|
502 | self.send_to_output() |
---|
503 | |
---|
504 | def add_data_set(self, key=""): |
---|
505 | """ |
---|
506 | Adds the current_dataset to the list of outputs after preforming final |
---|
507 | processing on the data and then calls a private method to generate a |
---|
508 | new data set. |
---|
509 | |
---|
510 | :param key: NeXus group name for current tree level |
---|
511 | """ |
---|
512 | |
---|
513 | if self.current_datainfo and self.current_dataset: |
---|
514 | self.final_data_cleanup() |
---|
515 | self.data1d = [] |
---|
516 | self.data2d = [] |
---|
517 | self.current_datainfo = DataInfo() |
---|
518 | |
---|
519 | |
---|
520 | def _initialize_new_data_set(self, parent_list=None): |
---|
521 | """ |
---|
522 | A private class method to generate a new 1D or 2D data object based on |
---|
523 | the type of data within the set. Outside methods should call |
---|
524 | add_data_set() to be sure any existing data is stored properly. |
---|
525 | |
---|
526 | :param parent_list: List of names of parent elements |
---|
527 | """ |
---|
528 | |
---|
529 | if parent_list is None: |
---|
530 | parent_list = [] |
---|
531 | if self._find_intermediate(parent_list, "Qx"): |
---|
532 | self.current_dataset = plottable_2D() |
---|
533 | else: |
---|
534 | x = np.array(0) |
---|
535 | y = np.array(0) |
---|
536 | self.current_dataset = plottable_1D(x, y) |
---|
537 | self.current_datainfo.filename = self.raw_data.filename |
---|
538 | |
---|
539 | def _find_intermediate(self, parent_list, basename=""): |
---|
540 | """ |
---|
541 | A private class used to find an entry by either using a direct key or |
---|
542 | knowing the approximate basename. |
---|
543 | |
---|
544 | :param parent_list: List of parents nodes in the HDF5 file |
---|
545 | :param basename: Approximate name of an entry to search for |
---|
546 | :return: |
---|
547 | """ |
---|
548 | |
---|
549 | entry = False |
---|
550 | key_prog = re.compile(basename) |
---|
551 | top = self.raw_data |
---|
552 | for parent in parent_list: |
---|
553 | top = top.get(parent) |
---|
554 | for key in top.keys(): |
---|
555 | if key_prog.match(key): |
---|
556 | entry = True |
---|
557 | break |
---|
558 | return entry |
---|
559 | |
---|
560 | def _create_unique_key(self, dictionary, name, numb=0): |
---|
561 | """ |
---|
562 | Create a unique key value for any dictionary to prevent overwriting |
---|
563 | Recurses until a unique key value is found. |
---|
564 | |
---|
565 | :param dictionary: A dictionary with any number of entries |
---|
566 | :param name: The index of the item to be added to dictionary |
---|
567 | :param numb: The number to be appended to the name, starts at 0 |
---|
568 | :return: The new name for the dictionary entry |
---|
569 | """ |
---|
570 | if dictionary.get(name) is not None: |
---|
571 | numb += 1 |
---|
572 | name = name.split("_")[0] |
---|
573 | name += "_{0}".format(numb) |
---|
574 | name = self._create_unique_key(dictionary, name, numb) |
---|
575 | return name |
---|
576 | |
---|
577 | def _get_unit(self, value): |
---|
578 | """ |
---|
579 | Find the unit for a particular value within the h5py dictionary |
---|
580 | |
---|
581 | :param value: attribute dictionary for a particular value set |
---|
582 | :return: unit for the value passed to the method |
---|
583 | """ |
---|
584 | unit = h5attr(value, u'units') |
---|
585 | if unit is None: |
---|
586 | unit = h5attr(value, u'unit') |
---|
587 | # Convert the unit formats |
---|
588 | if unit == "1/A": |
---|
589 | unit = "A^{-1}" |
---|
590 | elif unit == "1/cm": |
---|
591 | unit = "cm^{-1}" |
---|
592 | return unit |
---|