def read_abundance_genx(filename):
# Read file.
contents = read_genx(filename)
# Combine data and keys from each entry in file.
output = OrderedDict()
for arr in contents["SAVEGEN0"]:
output[arr["FILNAM"]] = arr["ABUND"]
# Add header data
output["header"] = contents["HEADER"]
output["header"]["CHIANTI VERSION"] = float(contents["SAVEGEN1"][:3])
return output
def _read_stix_srm_file(srm_file):
"""
Read a STIX SRM spectral fits file and extract useful information from it.
Parameters
----------
srm_file : `str` or `pathlib.Path`
STIX SRM fits file
Returns
-------
`dict`
STIX SRM data (photon bins, count bins, and SRM in units of [counts/keV/photons]).
"""
contents = read_genx(srm_file)
return {"photon_energy_bin_edges": contents["DRM"]['E_2D'], "count_energy_bin_edges": contents["DRM"]['EDGES_OUT'],
"drm": contents['DRM']['SMATRIX']}
import datetime
import numpy as np
import pytest
from sunpy.data.test import get_test_filepath
from sunpy.io.special import genx
TESTING = genx.read_genx(get_test_filepath('generated_sample.genx'))
def test_skeleton():
# Top level
toplevel_dims = {
'MYTEXT': 63,
'MYTEXT_ARRAY': 3,
'MYTEXT_ARRAY_DIMENSION': (2, 3),
'MYNUMBER': 1,
'MYNUMBER_ARRAY': 3,
'MYNUMBER_ARRAY_DIMENSION': (2, 3, 4, 5),
'MYUINT': 1,
'MYSTRUCTURE': 14, # the elements inside the OrderedDict
'MYSTRUCTURE_ARRAY': 6,
'HEADER': 5
}
assert sorted(list(TESTING.keys())) == sorted(list(toplevel_dims.keys()))
for key, val in toplevel_dims.items():
if isinstance(val, tuple):
assert TESTING[key].shape == tuple(reversed(val))
else:
if val > 1:
import os
import datetime
import numpy as np
import pytest
from sunpy.data.test import rootdir
from sunpy.io.special import genx
TESTING = genx.read_genx(os.path.join(rootdir, 'generated_sample.genx'))
def test_skeleton():
# Top level
toplevel_dims = {
'MYTEXT': 63,
'MYTEXT_ARRAY': 3,
'MYTEXT_ARRAY_DIMENSION': (2, 3),
'MYNUMBER': 1,
'MYNUMBER_ARRAY': 3,
'MYNUMBER_ARRAY_DIMENSION': (2, 3, 4, 5),
'MYUINT': 1,
'MYSTRUCTURE': 14, # the elements inside the OrderedDict
'MYSTRUCTURE_ARRAY': 6,
'HEADER': 5
}
assert sorted(list(TESTING.keys())) == sorted(list(toplevel_dims.keys()))
for key, val in toplevel_dims.items():
if isinstance(val, tuple):
assert TESTING[key].shape == tuple(reversed(val))
else:
import os
import datetime
import numpy as np
import pytest
from sunpy.data.test import rootdir
from sunpy.io.special import genx
TESTING = genx.read_genx(os.path.join(rootdir, 'generated_sample.genx'))
def test_skeleton():
# Top level
toplevel_dims = {'MYTEXT': 63, 'MYTEXT_ARRAY': 3, 'MYTEXT_ARRAY_DIMENSION': (2, 3),
'MYNUMBER': 1, 'MYNUMBER_ARRAY': 3, 'MYNUMBER_ARRAY_DIMENSION': (2, 3, 4, 5),
'MYUINT': 1, 'MYSTRUCTURE': 14, # the elements inside the OrderedDict
'MYSTRUCTURE_ARRAY': 6, 'HEADER': 5}
assert sorted(list(TESTING.keys())) == sorted(list(toplevel_dims.keys()))
for key, val in toplevel_dims.items():
if isinstance(val, tuple):
assert TESTING[key].shape == tuple(reversed(val))
else:
if val > 1:
assert len(TESTING[key]) == val
else:
assert isinstance(TESTING[key], int)
def test_array_elements_values():
np.testing.assert_allclose(TESTING['MYSTRUCTURE']['MYFARRAY'], np.arange(3.))