ditching the patched copy approach
Further details or things to look at:
2a48bf504e (note_12028)
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@ -1,9 +1,6 @@
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import re
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import fnmatch
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import os
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import sys
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import importlib
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import importlib.util
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import copy
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import datetime
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import xml.etree.ElementTree as ET # noqa
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@ -28,27 +25,6 @@ from . import tensor
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from . import util
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from ._typehints import FloatSequence, IntSequence, DADF5Dataset
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h5py_module_list = ['h5py','h5py._hl','h5py._hl.attrs']
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module_dict = {}
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SPEC_H5PY = importlib.util.find_spec('h5py')
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h5py_modified = importlib.util.module_from_spec(SPEC_H5PY)
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SPEC_H5PY.loader.exec_module(h5py_modified)
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sys.modules['h5py_modified'] = h5py_modified
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SPEC_H5PY_HL = importlib.util.find_spec('h5py._hl')
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h5py_hl_modified = importlib.util.module_from_spec(SPEC_H5PY_HL)
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SPEC_H5PY_HL.loader.exec_module(h5py_hl_modified)
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sys.modules['h5py_hl_modified'] = h5py_hl_modified
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SPEC_H5PY_HL_attrs = importlib.util.find_spec('h5py._hl.attrs')
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h5py_hl_attrs_modified = importlib.util.module_from_spec(SPEC_H5PY_HL_attrs)
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SPEC_H5PY_HL_attrs.loader.exec_module(h5py_hl_attrs_modified)
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sys.modules['h5py_hl_attrs_modified'] = h5py_hl_attrs_modified
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h5py_hl_modified.__dict__['attrs'] = h5py_hl_attrs_modified
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h5py_modified.__dict__['_hl'] = h5py_hl_modified
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h5py3 = h5py.__version__[0] == '3'
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chunk_size = 1024**2//8 # for compression in HDF5
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@ -86,7 +62,7 @@ def _empty_like(dataset: np.ma.core.MaskedArray,
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fill_value = fill_float if dataset.dtype in np.sctypes['float'] else fill_int,
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mask = True)
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class AttributeManagerNullterm(h5py_modified.AttributeManager):
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class AttributeManagerNullterm(h5py.AttributeManager):
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"""
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Attribute management for DREAM.3D hdf5 files.
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@ -107,7 +83,7 @@ class AttributeManagerNullterm(h5py_modified.AttributeManager):
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else:
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super().create(name=name,data=data,shape=shape,dtype=dtype)
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class ResetAttributeManager(h5py_modified.AttributeManager):
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class ResetAttributeManager(h5py.AttributeManager):
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"""
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Reset the attribute management for DREAM.3D hdf5 files.
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@ -2007,13 +1983,14 @@ class Result:
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Directory to save DREAM3D files. Will be created if non-existent.
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"""
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h5py_modified._hl.attrs.AttributeManager = AttributeManagerNullterm # 'Monkey patch'
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h5py._hl.attrs.AttributeManager = AttributeManagerNullterm # 'Monkey patch'
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if self.N_constituents != 1 or not self.structured:
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raise TypeError('DREAM3D output requires structured grid with single constituent.')
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N_digits = int(np.floor(np.log10(max(1,self.incs[-1]))))+1
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Crystal_structure_types = {'Hexagonal': 0, 'Cubic': 1, 'Triclinic': 4, 'Monoclinic': 5, 'Orthorhombic': 6, 'Tetrogonal': 8}
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Crystal_structure_types = {'Hexagonal': 0, 'Cubic': 1, 'Triclinic': 4, 'Monoclinic': 5, \
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'Orthorhombic': 6, 'Tetrogonal': 8}
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# crystal structure map according to Dream3D
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Phase_types = {'Primary': 0}
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@ -2048,7 +2025,7 @@ class Result:
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phase_ID_array[at_cell_ph[c][label]] = count + 1
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job_file_no_ext = self.fname.stem
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o = h5py_modified.File(f'{dream_dir}/{job_file_no_ext}_inc{inc.split(prefix_inc)[-1].zfill(N_digits)}.dream3d','w')
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o = h5py.File(f'{dream_dir}/{job_file_no_ext}_inc{inc.split(prefix_inc)[-1].zfill(N_digits)}.dream3d','w')
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o.attrs['DADF5toDREAM3D'] = '1.0'
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o.attrs['FileVersion'] = '7.0'
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@ -2105,15 +2082,16 @@ class Result:
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elif lattice_dict[label] in ['tP','tI']:
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crystal_structure = 'tetragonal'
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crystal_structure_list.append(Crystal_structure_types[crystal_structure])
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o[ensemble_label + '/CrystalStructures'] = np.uint32(np.array(crystal_structure_list)).reshape((len(self.phases)+1,1))
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o[ensemble_label + '/CrystalStructures'] = np.uint32(np.array(crystal_structure_list)).reshape((len(self.phases)\
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+1,1))
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o[ensemble_label + '/PhaseTypes'] = np.uint32(np.array([999] + [Phase_types['Primary']]*len(self.phases)))\
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.reshape((len(self.phases)+1,1))
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phase_name_list = ['Unknown Phase Type']
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phase_name_list.extend(i for i in self.visible['phases'])
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tid = h5py_modified.h5t.C_S1.copy()
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tid.set_size(h5py_modified.h5t.VARIABLE)
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tid.set_cset(h5py_modified.h5t.CSET_ASCII)
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o[ensemble_label].create_dataset(name='PhaseName',data = phase_name_list, dtype=h5py_modified.Datatype(tid))
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tid = h5py.h5t.C_S1.copy()
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tid.set_size(h5py.h5t.VARIABLE)
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tid.set_cset(h5py.h5t.CSET_ASCII)
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o[ensemble_label].create_dataset(name='PhaseName',data = phase_name_list, dtype=h5py.Datatype(tid))
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# Attributes Ensemble Matrix
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o[ensemble_label].attrs['AttributeMatrixType'] = np.array([11],np.uint32)
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@ -2145,7 +2123,7 @@ class Result:
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o[geom_label].attrs['GeometryType'] = np.array([0],np.uint32)
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o[geom_label].attrs['SpatialDimensionality'] = np.array([3],np.uint32)
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o[geom_label].attrs['UnitDimensionality'] = np.array([3],np.uint32)
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h5py_modified._hl.attrs.AttributeManager = ResetAttributeManager # Reset the attribute manager to original:
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h5py._hl.attrs.AttributeManager = ResetAttributeManager # Reset the attribute manager to original:
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def export_DADF5(self,
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