def test_table_array_convert():
"""
Test that structured arrays are converted when necessary, and
reused as views when not.
"""
from jwst.datamodels import util
table_schema = {
"allOf": [
mschema.load_schema(os.path.join(os.path.dirname(__file__),
"../schemas/image.schema.yaml"),
resolve_references=True), {
"type": "object",
"properties": {
"table": {
'title':
'A structured table',
'fits_hdu':
'table',
'datatype': [
'bool8', {
'datatype': 'int16',
'name': 'my_int'
}, {
'datatype': ['ascii', 64],
'name': 'my_string'
}
]
}
}
}
]
}
table = np.array([(42, 32000, 'foo')],
dtype=[(str('f0'), str('?')), (str('my_int'), str('=i2')),
(str('my_string'), str('S64'))])
x = util.gentle_asarray(table,
dtype=[(str('f0'), str('?')),
(str('my_int'), str('=i2')),
(str('my_string'), str('S64'))])
assert x is table
with DataModel(schema=table_schema) as x:
x.table = table
assert x.table is table
table = np.array([(42, 32000, 'foo')],
dtype=[(str('f0'), str('?')), (str('my_int'), str('=i2')),
(str('my_string'), str('S3'))])
with DataModel(schema=table_schema) as x:
x.table = table
assert x.table is not table
assert x.table['my_string'][0] == table['my_string'][0]
def test_table_array_convert():
"""
Test that structured arrays are converted when necessary, and
reused as views when not.
"""
from jwst.datamodels import util
table_schema = {
"allOf": [
mschema.load_schema(
os.path.join(os.path.dirname(__file__),
"../schemas/image.schema.yaml"),
resolve_references=True),
{
"type": "object",
"properties": {
"table": {
'title': 'A structured table',
'fits_hdu': 'table',
'datatype': [
'bool8',
{'datatype': 'int16',
'name': 'my_int'},
{'datatype': ['ascii', 64],
'name': 'my_string'}
]
}
}
}
]
}
table = np.array(
[(42, 32000, 'foo')],
dtype=[
(str('f0'), str('?')),
(str('my_int'), str('=i2')),
(str('my_string'), str('S64'))
])
x = util.gentle_asarray(table, dtype=[
(str('f0'), str('?')),
(str('my_int'), str('=i2')),
(str('my_string'), str('S64'))
])
assert x is table
with DataModel(schema=table_schema) as x:
x.table = table
assert x.table is table
table = np.array(
[(42, 32000, 'foo')],
dtype=[
(str('f0'), str('?')),
(str('my_int'), str('=i2')),
(str('my_string'), str('S3'))
])
with DataModel(schema=table_schema) as x:
x.table = table
assert x.table is not table
assert x.table['my_string'][0] == table['my_string'][0]
