[68aa210] | 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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[7b50f14] | 11 | from ..data_info import plottable_1D, plottable_2D,\ |
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[082239e] | 12 | Data1D, Data2D, DataInfo, Process, Aperture, Collimation, \ |
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| 13 | TransmissionSpectrum, Detector |
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[7b50f14] | 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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[d72567e] | 17 | |
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[5c5e7fd] | 18 | def h5attr(node, key, default=None): |
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| 19 | return decode(node.attrs.get(key, default)) |
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[68aa210] | 20 | |
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[9d786e5] | 21 | class Reader(FileReader): |
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[68aa210] | 22 | """ |
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[082239e] | 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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[d72567e] | 28 | |
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[082239e] | 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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[68aa210] | 31 | |
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[5e906207] | 32 | Also supports reading NXcanSAS formatted HDF5 files |
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| 33 | |
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[68aa210] | 34 | :Dependencies: |
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[d72567e] | 35 | The CanSAS HDF5 reader requires h5py => v2.5.0 or later. |
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[68aa210] | 36 | """ |
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| 37 | |
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[082239e] | 38 | # CanSAS version |
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[68aa210] | 39 | cansas_version = 2.0 |
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[082239e] | 40 | # Data type name |
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[cf820f5] | 41 | type_name = "NXcanSAS" |
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[082239e] | 42 | # Wildcards |
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[cf820f5] | 43 | type = ["NXcanSAS HDF5 Files (*.h5)|*.h5|"] |
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[082239e] | 44 | # List of allowed extensions |
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[68aa210] | 45 | ext = ['.h5', '.H5'] |
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[082239e] | 46 | # Flag to bypass extension check |
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[54544637] | 47 | allow_all = True |
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[68aa210] | 48 | |
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[9d786e5] | 49 | def get_file_contents(self): |
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[68aa210] | 50 | """ |
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[ad52d31] | 51 | This is the general read method that all SasView data_loaders must have. |
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[68aa210] | 52 | |
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| 53 | :param filename: A path for an HDF5 formatted CanSAS 2D data file. |
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[d72567e] | 54 | :return: List of Data1D/2D objects and/or a list of errors. |
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[68aa210] | 55 | """ |
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[082239e] | 56 | # Reinitialize when loading a new data file to reset all class variables |
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[61f329f0] | 57 | self.reset_state() |
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[9d786e5] | 58 | |
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| 59 | filename = self.f_open.name |
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| 60 | self.f_open.close() # IO handled by h5py |
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| 61 | |
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[082239e] | 62 | # Check that the file exists |
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[68aa210] | 63 | if os.path.isfile(filename): |
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| 64 | basename = os.path.basename(filename) |
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| 65 | _, extension = os.path.splitext(basename) |
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| 66 | # If the file type is not allowed, return empty list |
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| 67 | if extension in self.ext or self.allow_all: |
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[082239e] | 68 | # Load the data file |
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[7f75a3f] | 69 | try: |
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| 70 | self.raw_data = h5py.File(filename, 'r') |
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| 71 | except Exception as e: |
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[8dec7e7] | 72 | if extension not in self.ext: |
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[cf820f5] | 73 | msg = "NXcanSAS HDF5 Reader could not load file {}".format(basename + extension) |
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[8dec7e7] | 74 | raise DefaultReaderException(msg) |
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| 75 | raise FileContentsException(e.message) |
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[dcb91cf] | 76 | try: |
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| 77 | # Read in all child elements of top level SASroot |
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| 78 | self.read_children(self.raw_data, []) |
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| 79 | # Add the last data set to the list of outputs |
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| 80 | self.add_data_set() |
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| 81 | except Exception as exc: |
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| 82 | raise FileContentsException(exc.message) |
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| 83 | finally: |
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| 84 | # Close the data file |
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| 85 | self.raw_data.close() |
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| 86 | |
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| 87 | for dataset in self.output: |
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| 88 | if isinstance(dataset, Data1D): |
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| 89 | if dataset.x.size < 5: |
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| 90 | self.output = [] |
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| 91 | raise FileContentsException("Fewer than 5 data points found.") |
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[68aa210] | 92 | |
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[61f329f0] | 93 | def reset_state(self): |
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[d72567e] | 94 | """ |
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| 95 | Create the reader object and define initial states for class variables |
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| 96 | """ |
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[61f329f0] | 97 | super(Reader, self).reset_state() |
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[d72567e] | 98 | self.data1d = [] |
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| 99 | self.data2d = [] |
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| 100 | self.raw_data = None |
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| 101 | self.errors = set() |
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| 102 | self.logging = [] |
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[2651724] | 103 | self.q_name = [] |
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| 104 | self.mask_name = u'' |
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| 105 | self.i_name = u'' |
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| 106 | self.i_node = u'' |
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[02c1608e] | 107 | self.q_uncertainties = [] |
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| 108 | self.q_resolutions = [] |
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[2651724] | 109 | self.i_uncertainties = u'' |
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[d72567e] | 110 | self.parent_class = u'' |
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| 111 | self.detector = Detector() |
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| 112 | self.collimation = Collimation() |
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| 113 | self.aperture = Aperture() |
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| 114 | self.process = Process() |
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| 115 | self.trans_spectrum = TransmissionSpectrum() |
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| 116 | |
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| 117 | def read_children(self, data, parent_list): |
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[68aa210] | 118 | """ |
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[ad52d31] | 119 | A recursive method for stepping through the hierarchical data file. |
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[68aa210] | 120 | |
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| 121 | :param data: h5py Group object of any kind |
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| 122 | :param parent: h5py Group parent name |
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| 123 | """ |
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| 124 | |
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[082239e] | 125 | # Loop through each element of the parent and process accordingly |
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[68aa210] | 126 | for key in data.keys(): |
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[082239e] | 127 | # Get all information for the current key |
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[68aa210] | 128 | value = data.get(key) |
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[7b50f14] | 129 | class_name = h5attr(value, u'canSAS_class') |
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| 130 | if class_name is None: |
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[5c5e7fd] | 131 | class_name = h5attr(value, u'NX_class') |
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[68aa210] | 132 | if class_name is not None: |
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| 133 | class_prog = re.compile(class_name) |
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| 134 | else: |
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| 135 | class_prog = re.compile(value.name) |
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| 136 | |
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| 137 | if isinstance(value, h5py.Group): |
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[c9ecd1b] | 138 | # Set parent class before recursion |
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[8f882fe] | 139 | last_parent_class = self.parent_class |
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[d72567e] | 140 | self.parent_class = class_name |
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| 141 | parent_list.append(key) |
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[082239e] | 142 | # If a new sasentry, store the current data sets and create |
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| 143 | # a fresh Data1D/2D object |
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[68aa210] | 144 | if class_prog.match(u'SASentry'): |
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| 145 | self.add_data_set(key) |
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[d72567e] | 146 | elif class_prog.match(u'SASdata'): |
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[8f882fe] | 147 | self._initialize_new_data_set(value) |
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[9e0dd49] | 148 | self._find_data_attributes(value) |
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[082239e] | 149 | # Recursion step to access data within the group |
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[d72567e] | 150 | self.read_children(value, parent_list) |
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| 151 | self.add_intermediate() |
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[8f882fe] | 152 | # Reset parent class when returning from recursive method |
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| 153 | self.parent_class = last_parent_class |
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[d72567e] | 154 | parent_list.remove(key) |
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[68aa210] | 155 | |
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| 156 | elif isinstance(value, h5py.Dataset): |
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[082239e] | 157 | # If this is a dataset, store the data appropriately |
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[68aa210] | 158 | data_set = data[key][:] |
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[7bd6860a] | 159 | unit = self._get_unit(value) |
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[ac370c5] | 160 | |
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[68aa210] | 161 | for data_point in data_set: |
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[2b538cd] | 162 | if isinstance(data_point, np.ndarray): |
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| 163 | if data_point.dtype.char == 'S': |
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| 164 | data_point = decode(bytes(data_point)) |
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| 165 | else: |
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| 166 | data_point = decode(data_point) |
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[082239e] | 167 | # Top Level Meta Data |
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[68aa210] | 168 | if key == u'definition': |
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[d72567e] | 169 | self.current_datainfo.meta_data['reader'] = data_point |
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[0d93464] | 170 | # Run |
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[68aa210] | 171 | elif key == u'run': |
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[d72567e] | 172 | self.current_datainfo.run.append(data_point) |
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[be88076] | 173 | try: |
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[5c5e7fd] | 174 | run_name = h5attr(value, 'name') |
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[be88076] | 175 | run_dict = {data_point: run_name} |
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| 176 | self.current_datainfo.run_name = run_dict |
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[7b50f14] | 177 | except Exception: |
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[be88076] | 178 | pass |
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[0d93464] | 179 | # Title |
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[68aa210] | 180 | elif key == u'title': |
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[d72567e] | 181 | self.current_datainfo.title = data_point |
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[0d93464] | 182 | # Note |
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[68aa210] | 183 | elif key == u'SASnote': |
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[d72567e] | 184 | self.current_datainfo.notes.append(data_point) |
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[082239e] | 185 | # Sample Information |
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[0d93464] | 186 | elif self.parent_class == u'SASsample': |
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| 187 | self.process_sample(data_point, key) |
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[082239e] | 188 | # Instrumental Information |
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[c94280c] | 189 | elif (key == u'name' |
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| 190 | and self.parent_class == u'SASinstrument'): |
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[d72567e] | 191 | self.current_datainfo.instrument = data_point |
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[0d93464] | 192 | # Detector |
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| 193 | elif self.parent_class == u'SASdetector': |
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| 194 | self.process_detector(data_point, key, unit) |
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| 195 | # Collimation |
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| 196 | elif self.parent_class == u'SAScollimation': |
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| 197 | self.process_collimation(data_point, key, unit) |
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| 198 | # Aperture |
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| 199 | elif self.parent_class == u'SASaperture': |
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| 200 | self.process_aperture(data_point, key) |
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[082239e] | 201 | # Process Information |
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[0d93464] | 202 | elif self.parent_class == u'SASprocess': # CanSAS 2.0 |
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| 203 | self.process_process(data_point, key) |
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[082239e] | 204 | # Source |
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[0d93464] | 205 | elif self.parent_class == u'SASsource': |
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| 206 | self.process_source(data_point, key, unit) |
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[082239e] | 207 | # Everything else goes in meta_data |
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[0d93464] | 208 | elif self.parent_class == u'SASdata': |
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[96d06a4] | 209 | if isinstance(self.current_dataset, plottable_2D): |
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| 210 | self.process_2d_data_object(data_set, key, unit) |
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| 211 | else: |
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| 212 | self.process_1d_data_object(data_set, key, unit) |
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| 213 | |
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[0d93464] | 214 | break |
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| 215 | elif self.parent_class == u'SAStransmission_spectrum': |
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| 216 | self.process_trans_spectrum(data_set, key) |
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| 217 | break |
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[68aa210] | 218 | else: |
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[082239e] | 219 | new_key = self._create_unique_key( |
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| 220 | self.current_datainfo.meta_data, key) |
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[d72567e] | 221 | self.current_datainfo.meta_data[new_key] = data_point |
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[68aa210] | 222 | |
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| 223 | else: |
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[082239e] | 224 | # I don't know if this reachable code |
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[68aa210] | 225 | self.errors.add("ShouldNeverHappenException") |
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| 226 | |
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[96d06a4] | 227 | def process_1d_data_object(self, data_set, key, unit): |
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[0d93464] | 228 | """ |
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[96d06a4] | 229 | SASdata processor method for 1d data items |
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[0d93464] | 230 | :param data_set: data from HDF5 file |
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| 231 | :param key: canSAS_class attribute |
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| 232 | :param unit: unit attribute |
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| 233 | """ |
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[2651724] | 234 | if key == self.i_name: |
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[96d06a4] | 235 | self.current_dataset.y = data_set.flatten() |
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| 236 | self.current_dataset.yaxis("Intensity", unit) |
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[2651724] | 237 | elif key == self.i_uncertainties: |
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[96d06a4] | 238 | self.current_dataset.dy = data_set.flatten() |
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[2651724] | 239 | elif key in self.q_name: |
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[0d93464] | 240 | self.current_dataset.xaxis("Q", unit) |
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[96d06a4] | 241 | self.current_dataset.x = data_set.flatten() |
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[02c1608e] | 242 | elif key in self.q_uncertainties or key in self.q_resolutions: |
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| 243 | if (len(self.q_resolutions) > 1 |
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| 244 | and np.where(self.q_resolutions == key)[0] == 0): |
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[2651724] | 245 | self.current_dataset.dxw = data_set.flatten() |
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[02c1608e] | 246 | elif (len(self.q_resolutions) > 1 |
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| 247 | and np.where(self.q_resolutions == key)[0] == 1): |
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[2651724] | 248 | self.current_dataset.dxl = data_set.flatten() |
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| 249 | else: |
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| 250 | self.current_dataset.dx = data_set.flatten() |
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[96d06a4] | 251 | elif key == self.mask_name: |
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| 252 | self.current_dataset.mask = data_set.flatten() |
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| 253 | elif key == u'wavelength': |
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| 254 | self.current_datainfo.source.wavelength = data_set[0] |
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| 255 | self.current_datainfo.source.wavelength_unit = unit |
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| 256 | |
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| 257 | def process_2d_data_object(self, data_set, key, unit): |
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| 258 | if key == self.i_name: |
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| 259 | self.current_dataset.data = data_set |
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| 260 | self.current_dataset.zaxis("Intensity", unit) |
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| 261 | elif key == self.i_uncertainties: |
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| 262 | self.current_dataset.err_data = data_set.flatten() |
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| 263 | elif key in self.q_name: |
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| 264 | self.current_dataset.xaxis("Q", unit) |
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| 265 | self.current_dataset.yaxis("Q", unit) |
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| 266 | #FIXME: This is broken - need to properly handle 2D data |
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| 267 | # TODO: Check shape of array (2d - cash money, homey!) |
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| 268 | # TODO: 3D - check dims, etc. |
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| 269 | # TODO: Put data where it belongs |
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| 270 | pass |
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| 271 | elif key in self.q_uncertainties or key in self.q_resolutions: |
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| 272 | # FIXME: This isn't right either. |
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| 273 | # TODO: find resolution/uncertainty specific to q_name |
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| 274 | pass |
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[0d93464] | 275 | elif key == u'Qy': |
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| 276 | self.current_dataset.yaxis("Q_y", unit) |
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| 277 | self.current_dataset.qy_data = data_set.flatten() |
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| 278 | elif key == u'Qydev': |
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| 279 | self.current_dataset.dqy_data = data_set.flatten() |
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| 280 | elif key == u'Qx': |
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| 281 | self.current_dataset.xaxis("Q_x", unit) |
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| 282 | self.current_dataset.qx_data = data_set.flatten() |
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| 283 | elif key == u'Qxdev': |
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| 284 | self.current_dataset.dqx_data = data_set.flatten() |
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| 285 | |
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| 286 | def process_trans_spectrum(self, data_set, key): |
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| 287 | """ |
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| 288 | SAStransmission_spectrum processor |
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| 289 | :param data_set: data from HDF5 file |
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| 290 | :param key: canSAS_class attribute |
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| 291 | """ |
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| 292 | if key == u'T': |
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| 293 | self.trans_spectrum.transmission = data_set.flatten() |
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| 294 | elif key == u'Tdev': |
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| 295 | self.trans_spectrum.transmission_deviation = data_set.flatten() |
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| 296 | elif key == u'lambda': |
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| 297 | self.trans_spectrum.wavelength = data_set.flatten() |
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| 298 | |
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| 299 | def process_sample(self, data_point, key): |
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| 300 | """ |
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| 301 | SASsample processor |
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| 302 | :param data_point: Single point from an HDF5 data file |
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| 303 | :param key: class name data_point was taken from |
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| 304 | """ |
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| 305 | if key == u'Title': |
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| 306 | self.current_datainfo.sample.name = data_point |
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| 307 | elif key == u'name': |
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| 308 | self.current_datainfo.sample.name = data_point |
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| 309 | elif key == u'ID': |
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| 310 | self.current_datainfo.sample.name = data_point |
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| 311 | elif key == u'thickness': |
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| 312 | self.current_datainfo.sample.thickness = data_point |
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| 313 | elif key == u'temperature': |
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| 314 | self.current_datainfo.sample.temperature = data_point |
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| 315 | elif key == u'transmission': |
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| 316 | self.current_datainfo.sample.transmission = data_point |
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| 317 | elif key == u'x_position': |
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| 318 | self.current_datainfo.sample.position.x = data_point |
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| 319 | elif key == u'y_position': |
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| 320 | self.current_datainfo.sample.position.y = data_point |
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| 321 | elif key == u'pitch': |
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| 322 | self.current_datainfo.sample.orientation.x = data_point |
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| 323 | elif key == u'yaw': |
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| 324 | self.current_datainfo.sample.orientation.y = data_point |
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| 325 | elif key == u'roll': |
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| 326 | self.current_datainfo.sample.orientation.z = data_point |
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| 327 | elif key == u'details': |
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| 328 | self.current_datainfo.sample.details.append(data_point) |
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| 329 | |
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| 330 | def process_detector(self, data_point, key, unit): |
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| 331 | """ |
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| 332 | SASdetector processor |
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| 333 | :param data_point: Single point from an HDF5 data file |
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| 334 | :param key: class name data_point was taken from |
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| 335 | :param unit: unit attribute from data set |
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| 336 | """ |
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| 337 | if key == u'name': |
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| 338 | self.detector.name = data_point |
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| 339 | elif key == u'SDD': |
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| 340 | self.detector.distance = float(data_point) |
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| 341 | self.detector.distance_unit = unit |
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| 342 | elif key == u'slit_length': |
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| 343 | self.detector.slit_length = float(data_point) |
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| 344 | self.detector.slit_length_unit = unit |
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| 345 | elif key == u'x_position': |
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| 346 | self.detector.offset.x = float(data_point) |
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| 347 | self.detector.offset_unit = unit |
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| 348 | elif key == u'y_position': |
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| 349 | self.detector.offset.y = float(data_point) |
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| 350 | self.detector.offset_unit = unit |
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| 351 | elif key == u'pitch': |
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| 352 | self.detector.orientation.x = float(data_point) |
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| 353 | self.detector.orientation_unit = unit |
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| 354 | elif key == u'roll': |
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| 355 | self.detector.orientation.z = float(data_point) |
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| 356 | self.detector.orientation_unit = unit |
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| 357 | elif key == u'yaw': |
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| 358 | self.detector.orientation.y = float(data_point) |
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| 359 | self.detector.orientation_unit = unit |
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| 360 | elif key == u'beam_center_x': |
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| 361 | self.detector.beam_center.x = float(data_point) |
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| 362 | self.detector.beam_center_unit = unit |
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| 363 | elif key == u'beam_center_y': |
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| 364 | self.detector.beam_center.y = float(data_point) |
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| 365 | self.detector.beam_center_unit = unit |
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| 366 | elif key == u'x_pixel_size': |
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| 367 | self.detector.pixel_size.x = float(data_point) |
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| 368 | self.detector.pixel_size_unit = unit |
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| 369 | elif key == u'y_pixel_size': |
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| 370 | self.detector.pixel_size.y = float(data_point) |
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| 371 | self.detector.pixel_size_unit = unit |
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| 372 | |
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| 373 | def process_collimation(self, data_point, key, unit): |
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| 374 | """ |
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| 375 | SAScollimation processor |
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| 376 | :param data_point: Single point from an HDF5 data file |
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| 377 | :param key: class name data_point was taken from |
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| 378 | :param unit: unit attribute from data set |
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| 379 | """ |
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| 380 | if key == u'distance': |
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| 381 | self.collimation.length = data_point |
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| 382 | self.collimation.length_unit = unit |
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| 383 | elif key == u'name': |
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| 384 | self.collimation.name = data_point |
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| 385 | |
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| 386 | def process_aperture(self, data_point, key): |
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| 387 | """ |
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| 388 | SASaperture processor |
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| 389 | :param data_point: Single point from an HDF5 data file |
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| 390 | :param key: class name data_point was taken from |
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| 391 | """ |
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| 392 | if key == u'shape': |
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| 393 | self.aperture.shape = data_point |
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| 394 | elif key == u'x_gap': |
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| 395 | self.aperture.size.x = data_point |
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| 396 | elif key == u'y_gap': |
---|
| 397 | self.aperture.size.y = data_point |
---|
| 398 | |
---|
| 399 | def process_source(self, data_point, key, unit): |
---|
| 400 | """ |
---|
| 401 | SASsource processor |
---|
| 402 | :param data_point: Single point from an HDF5 data file |
---|
| 403 | :param key: class name data_point was taken from |
---|
| 404 | :param unit: unit attribute from data set |
---|
| 405 | """ |
---|
| 406 | if key == u'incident_wavelength': |
---|
| 407 | self.current_datainfo.source.wavelength = data_point |
---|
| 408 | self.current_datainfo.source.wavelength_unit = unit |
---|
| 409 | elif key == u'wavelength_max': |
---|
| 410 | self.current_datainfo.source.wavelength_max = data_point |
---|
| 411 | self.current_datainfo.source.wavelength_max_unit = unit |
---|
| 412 | elif key == u'wavelength_min': |
---|
| 413 | self.current_datainfo.source.wavelength_min = data_point |
---|
| 414 | self.current_datainfo.source.wavelength_min_unit = unit |
---|
| 415 | elif key == u'incident_wavelength_spread': |
---|
| 416 | self.current_datainfo.source.wavelength_spread = data_point |
---|
| 417 | self.current_datainfo.source.wavelength_spread_unit = unit |
---|
| 418 | elif key == u'beam_size_x': |
---|
| 419 | self.current_datainfo.source.beam_size.x = data_point |
---|
| 420 | self.current_datainfo.source.beam_size_unit = unit |
---|
| 421 | elif key == u'beam_size_y': |
---|
| 422 | self.current_datainfo.source.beam_size.y = data_point |
---|
| 423 | self.current_datainfo.source.beam_size_unit = unit |
---|
| 424 | elif key == u'beam_shape': |
---|
| 425 | self.current_datainfo.source.beam_shape = data_point |
---|
| 426 | elif key == u'radiation': |
---|
| 427 | self.current_datainfo.source.radiation = data_point |
---|
| 428 | |
---|
| 429 | def process_process(self, data_point, key): |
---|
| 430 | """ |
---|
| 431 | SASprocess processor |
---|
| 432 | :param data_point: Single point from an HDF5 data file |
---|
| 433 | :param key: class name data_point was taken from |
---|
| 434 | """ |
---|
[ac38ab4] | 435 | term_match = re.compile(u'^term[0-9]+$') |
---|
[0d93464] | 436 | if key == u'Title': # CanSAS 2.0 |
---|
| 437 | self.process.name = data_point |
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| 438 | elif key == u'name': # NXcanSAS |
---|
| 439 | self.process.name = data_point |
---|
| 440 | elif key == u'description': |
---|
| 441 | self.process.description = data_point |
---|
| 442 | elif key == u'date': |
---|
| 443 | self.process.date = data_point |
---|
[ac38ab4] | 444 | elif term_match.match(key): |
---|
| 445 | self.process.term.append(data_point) |
---|
[0d93464] | 446 | else: |
---|
| 447 | self.process.notes.append(data_point) |
---|
| 448 | |
---|
[d72567e] | 449 | def add_intermediate(self): |
---|
[ad52d31] | 450 | """ |
---|
[082239e] | 451 | This method stores any intermediate objects within the final data set |
---|
| 452 | after fully reading the set. |
---|
[ad52d31] | 453 | |
---|
[082239e] | 454 | :param parent: The NXclass name for the h5py Group object that just |
---|
| 455 | finished being processed |
---|
[ad52d31] | 456 | """ |
---|
| 457 | |
---|
[d72567e] | 458 | if self.parent_class == u'SASprocess': |
---|
| 459 | self.current_datainfo.process.append(self.process) |
---|
[ad52d31] | 460 | self.process = Process() |
---|
[d72567e] | 461 | elif self.parent_class == u'SASdetector': |
---|
| 462 | self.current_datainfo.detector.append(self.detector) |
---|
[ad52d31] | 463 | self.detector = Detector() |
---|
[d72567e] | 464 | elif self.parent_class == u'SAStransmission_spectrum': |
---|
| 465 | self.current_datainfo.trans_spectrum.append(self.trans_spectrum) |
---|
[ad52d31] | 466 | self.trans_spectrum = TransmissionSpectrum() |
---|
[d72567e] | 467 | elif self.parent_class == u'SAScollimation': |
---|
| 468 | self.current_datainfo.collimation.append(self.collimation) |
---|
[ad52d31] | 469 | self.collimation = Collimation() |
---|
[d72567e] | 470 | elif self.parent_class == u'SASaperture': |
---|
[ad52d31] | 471 | self.collimation.aperture.append(self.aperture) |
---|
| 472 | self.aperture = Aperture() |
---|
[d72567e] | 473 | elif self.parent_class == u'SASdata': |
---|
[082239e] | 474 | if isinstance(self.current_dataset, plottable_2D): |
---|
[d72567e] | 475 | self.data2d.append(self.current_dataset) |
---|
[082239e] | 476 | elif isinstance(self.current_dataset, plottable_1D): |
---|
[d72567e] | 477 | self.data1d.append(self.current_dataset) |
---|
[68aa210] | 478 | |
---|
| 479 | def final_data_cleanup(self): |
---|
| 480 | """ |
---|
[082239e] | 481 | Does some final cleanup and formatting on self.current_datainfo and |
---|
| 482 | all data1D and data2D objects and then combines the data and info into |
---|
| 483 | Data1D and Data2D objects |
---|
[68aa210] | 484 | """ |
---|
[082239e] | 485 | # Type cast data arrays to float64 |
---|
[d72567e] | 486 | if len(self.current_datainfo.trans_spectrum) > 0: |
---|
[ad52d31] | 487 | spectrum_list = [] |
---|
[d72567e] | 488 | for spectrum in self.current_datainfo.trans_spectrum: |
---|
[ad52d31] | 489 | spectrum.transmission = spectrum.transmission.astype(np.float64) |
---|
[082239e] | 490 | spectrum.transmission_deviation = \ |
---|
| 491 | spectrum.transmission_deviation.astype(np.float64) |
---|
[ad52d31] | 492 | spectrum.wavelength = spectrum.wavelength.astype(np.float64) |
---|
[d72567e] | 493 | if len(spectrum.transmission) > 0: |
---|
| 494 | spectrum_list.append(spectrum) |
---|
| 495 | self.current_datainfo.trans_spectrum = spectrum_list |
---|
[68aa210] | 496 | |
---|
[082239e] | 497 | # Append errors to dataset and reset class errors |
---|
[d72567e] | 498 | self.current_datainfo.errors = self.errors |
---|
[68aa210] | 499 | self.errors.clear() |
---|
| 500 | |
---|
[082239e] | 501 | # Combine all plottables with datainfo and append each to output |
---|
| 502 | # Type cast data arrays to float64 and find min/max as appropriate |
---|
[d72567e] | 503 | for dataset in self.data2d: |
---|
| 504 | zeros = np.ones(dataset.data.size, dtype=bool) |
---|
| 505 | try: |
---|
[082239e] | 506 | for i in range(0, dataset.mask.size - 1): |
---|
[d72567e] | 507 | zeros[i] = dataset.mask[i] |
---|
| 508 | except: |
---|
| 509 | self.errors.add(sys.exc_value) |
---|
| 510 | dataset.mask = zeros |
---|
[082239e] | 511 | # Calculate the actual Q matrix |
---|
[d72567e] | 512 | try: |
---|
| 513 | if dataset.q_data.size <= 1: |
---|
[54544637] | 514 | dataset.q_data = np.sqrt(dataset.qx_data |
---|
| 515 | * dataset.qx_data |
---|
| 516 | + dataset.qy_data |
---|
| 517 | * dataset.qy_data) |
---|
[d72567e] | 518 | except: |
---|
| 519 | dataset.q_data = None |
---|
[ac370c5] | 520 | |
---|
| 521 | if dataset.data.ndim == 2: |
---|
| 522 | (n_rows, n_cols) = dataset.data.shape |
---|
[479799c] | 523 | dataset.y_bins = dataset.qy_data[0::n_cols] |
---|
[0bd8fac] | 524 | dataset.x_bins = dataset.qx_data[0::n_rows] |
---|
[ac370c5] | 525 | dataset.data = dataset.data.flatten() |
---|
[9d786e5] | 526 | self.current_dataset = dataset |
---|
| 527 | self.send_to_output() |
---|
[d72567e] | 528 | |
---|
| 529 | for dataset in self.data1d: |
---|
[9d786e5] | 530 | self.current_dataset = dataset |
---|
| 531 | self.send_to_output() |
---|
[d72567e] | 532 | |
---|
[68aa210] | 533 | def add_data_set(self, key=""): |
---|
| 534 | """ |
---|
[082239e] | 535 | Adds the current_dataset to the list of outputs after preforming final |
---|
| 536 | processing on the data and then calls a private method to generate a |
---|
| 537 | new data set. |
---|
[68aa210] | 538 | |
---|
| 539 | :param key: NeXus group name for current tree level |
---|
| 540 | """ |
---|
[d72567e] | 541 | |
---|
| 542 | if self.current_datainfo and self.current_dataset: |
---|
[68aa210] | 543 | self.final_data_cleanup() |
---|
[d72567e] | 544 | self.data1d = [] |
---|
| 545 | self.data2d = [] |
---|
| 546 | self.current_datainfo = DataInfo() |
---|
[68aa210] | 547 | |
---|
[8f882fe] | 548 | def _initialize_new_data_set(self, value=None): |
---|
[68aa210] | 549 | """ |
---|
[082239e] | 550 | A private class method to generate a new 1D or 2D data object based on |
---|
| 551 | the type of data within the set. Outside methods should call |
---|
| 552 | add_data_set() to be sure any existing data is stored properly. |
---|
[68aa210] | 553 | |
---|
[d72567e] | 554 | :param parent_list: List of names of parent elements |
---|
[68aa210] | 555 | """ |
---|
[8f882fe] | 556 | if self._is2d(value): |
---|
[d72567e] | 557 | self.current_dataset = plottable_2D() |
---|
[68aa210] | 558 | else: |
---|
| 559 | x = np.array(0) |
---|
| 560 | y = np.array(0) |
---|
[d72567e] | 561 | self.current_dataset = plottable_1D(x, y) |
---|
| 562 | self.current_datainfo.filename = self.raw_data.filename |
---|
[18af6d2] | 563 | self.mask_name = "" |
---|
| 564 | self.i_name = "" |
---|
| 565 | self.i_node = "" |
---|
| 566 | self.q_name = [] |
---|
[02c1608e] | 567 | self.q_uncertainties = [] |
---|
| 568 | self.q_resolutions = [] |
---|
[18af6d2] | 569 | self.i_uncertainties = "" |
---|
[68aa210] | 570 | |
---|
[cf29187] | 571 | @staticmethod |
---|
| 572 | def check_is_list_or_array(iterable): |
---|
| 573 | try: |
---|
| 574 | iter(iterable) |
---|
| 575 | if (not isinstance(iterable, np.ndarray)) or (isinstance(iterable, str) |
---|
| 576 | or isinstance(iterable, unicode)): |
---|
| 577 | raise TypeError |
---|
| 578 | except TypeError: |
---|
| 579 | iterable = iterable.split(",") |
---|
| 580 | return iterable |
---|
| 581 | |
---|
[9e0dd49] | 582 | def _find_data_attributes(self, value): |
---|
[2651724] | 583 | """ |
---|
| 584 | A class to find the indices for Q, the name of the Qdev and Idev, and |
---|
| 585 | the name of the mask. |
---|
| 586 | :param value: SASdata/NXdata HDF5 Group |
---|
| 587 | """ |
---|
[9e0dd49] | 588 | attrs = value.attrs |
---|
[0bd8fac] | 589 | signal = attrs.get("signal", "I") |
---|
| 590 | i_axes = attrs.get("I_axes", ["Q"]) |
---|
| 591 | q_indices = attrs.get("Q_indices", [0]) |
---|
[cf29187] | 592 | q_indices = map(int, self.check_is_list_or_array(q_indices)) |
---|
| 593 | i_axes = self.check_is_list_or_array(i_axes) |
---|
[9e0dd49] | 594 | keys = value.keys() |
---|
[18af6d2] | 595 | self.mask_name = attrs.get("mask") |
---|
[2651724] | 596 | for val in q_indices: |
---|
| 597 | self.q_name.append(i_axes[val]) |
---|
[9e0dd49] | 598 | self.i_name = signal |
---|
[2651724] | 599 | self.i_node = value.get(self.i_name) |
---|
| 600 | for item in self.q_name: |
---|
| 601 | if item in keys: |
---|
| 602 | q_vals = value.get(item) |
---|
[0bd8fac] | 603 | if q_vals.attrs.get("uncertainties") is not None: |
---|
[02c1608e] | 604 | self.q_uncertainties = q_vals.attrs.get("uncertainties") |
---|
[0bd8fac] | 605 | elif q_vals.attrs.get("uncertainty") is not None: |
---|
[8f882fe] | 606 | self.q_uncertainties = q_vals.attrs.get("uncertainty") |
---|
[0bd8fac] | 607 | if isinstance(self.q_uncertainties, str) is not None: |
---|
[02c1608e] | 608 | self.q_uncertainties = [self.q_uncertainties] |
---|
[0bd8fac] | 609 | if q_vals.attrs.get("resolutions") is not None: |
---|
[02c1608e] | 610 | self.q_resolutions = q_vals.attrs.get("resolutions") |
---|
| 611 | if isinstance(self.q_resolutions, str): |
---|
[0bd8fac] | 612 | self.q_resolutions = self.q_resolutions.split(",") |
---|
[9e0dd49] | 613 | if self.i_name in keys: |
---|
| 614 | i_vals = value.get(self.i_name) |
---|
[8f882fe] | 615 | self.i_uncertainties = i_vals.attrs.get("uncertainties") |
---|
| 616 | if self.i_uncertainties is None: |
---|
| 617 | self.i_uncertainties = i_vals.attrs.get("uncertainty") |
---|
[9e0dd49] | 618 | |
---|
[8f882fe] | 619 | def _is2d(self, value, basename="I"): |
---|
[ad52d31] | 620 | """ |
---|
[8f882fe] | 621 | A private class to determine if the data set is 1d or 2d. |
---|
[ad52d31] | 622 | |
---|
[082239e] | 623 | :param parent_list: List of parents nodes in the HDF5 file |
---|
[d72567e] | 624 | :param basename: Approximate name of an entry to search for |
---|
[8f882fe] | 625 | :return: True if 2D, otherwise false |
---|
| 626 | """ |
---|
| 627 | |
---|
| 628 | vals = value.get(basename) |
---|
| 629 | return (vals is not None and vals.shape is not None |
---|
| 630 | and len(vals.shape) != 1) |
---|
[ad52d31] | 631 | |
---|
[68aa210] | 632 | def _create_unique_key(self, dictionary, name, numb=0): |
---|
| 633 | """ |
---|
| 634 | Create a unique key value for any dictionary to prevent overwriting |
---|
| 635 | Recurses until a unique key value is found. |
---|
| 636 | |
---|
| 637 | :param dictionary: A dictionary with any number of entries |
---|
| 638 | :param name: The index of the item to be added to dictionary |
---|
| 639 | :param numb: The number to be appended to the name, starts at 0 |
---|
[d72567e] | 640 | :return: The new name for the dictionary entry |
---|
[68aa210] | 641 | """ |
---|
| 642 | if dictionary.get(name) is not None: |
---|
| 643 | numb += 1 |
---|
| 644 | name = name.split("_")[0] |
---|
| 645 | name += "_{0}".format(numb) |
---|
| 646 | name = self._create_unique_key(dictionary, name, numb) |
---|
[d398285] | 647 | return name |
---|
| 648 | |
---|
| 649 | def _get_unit(self, value): |
---|
| 650 | """ |
---|
| 651 | Find the unit for a particular value within the h5py dictionary |
---|
| 652 | |
---|
| 653 | :param value: attribute dictionary for a particular value set |
---|
[d72567e] | 654 | :return: unit for the value passed to the method |
---|
[d398285] | 655 | """ |
---|
[5c5e7fd] | 656 | unit = h5attr(value, u'units') |
---|
[54544637] | 657 | if unit is None: |
---|
[5c5e7fd] | 658 | unit = h5attr(value, u'unit') |
---|
[54ba66e] | 659 | return unit |
---|