>>> yaml.Dumper.yaml_representers.pop(numpy.ndarray) # doctest: +ELLIPSIS
<function none_representer at 0x...>
->>> print yaml.dump(a)
+>>> print yaml.dump(a) # doctest: +REPORT_UDIFF
!!python/object/apply:numpy.core.multiarray._reconstruct
args:
- !!python/name:numpy.ndarray ''
state: !!python/tuple
- 1
- !!python/tuple [3]
-- null
+- !!python/object/apply:numpy.dtype
+ args: [i4, 0, 1]
+ state: !!python/tuple [3, <, null, null, null, -1, -1, 0]
- false
- "\\x01\\0\\0\\0\\x02\\0\\0\\0\\x03\\0\\0\\0"
<BLANKLINE>
Restore the representer for future tests.
>>> yaml.add_representer(numpy.ndarray, none_representer)
+
+We also avoid !!python/unicode tags by sacrificing the string/unicode
+distinction.
+
+>>> yaml.dump('ascii', allow_unicode=True)
+'ascii\\n...\\n'
+>>> yaml.dump(u'ascii', allow_unicode=True)
+'ascii\\n...\\n'
+>>> a = yaml.dump(u'Fran\\xe7ois', allow_unicode=True)
+>>> a
+'Fran\\xc3\\xa7ois\\n...\\n'
+>>> unicode(a, 'utf-8')
+u'Fran\\xe7ois\\n...\\n'
"""
from __future__ import absolute_import
import numpy
import yaml
import yaml.constructor
+from yaml.constructor import ConstructorError
import yaml.representer
from ..curve import Data, Curve
from ..playlist import FilePlaylist
+DATA_INFO_TAG = u'!hooke.curve.DataInfo'
+
+
if False: # YAML dump debugging code
"""To help isolate data types etc. that give YAML problems.
yaml.representer.SafeRepresenter.ignore_aliases = staticmethod(
ignore_aliases)
+def unicode_representer(dumper, data):
+ return dumper.represent_scalar(u'tag:yaml.org,2002:str', data)
+yaml.add_representer(unicode, unicode_representer)
def none_representer(dumper, data):
return dumper.represent_none(None)
yaml.add_representer(numpy.ndarray, none_representer)
-yaml.add_representer(numpy.dtype, none_representer)
def bool_representer(dumper, data):
return dumper.represent_bool(data)
for key in info.keys():
if key.startswith('raw '):
del(info[key])
- return dumper.represent_mapping(u'!hooke.curve.DataInfo', info)
+ return dumper.represent_mapping(DATA_INFO_TAG, info)
yaml.add_representer(Data, data_representer)
+def data_constructor(loader, node):
+ info = loader.construct_mapping(node)
+ return Data(shape=(0,0), dtype=numpy.float32, info=info)
+yaml.add_constructor(DATA_INFO_TAG, data_constructor)
+
def object_representer(dumper, data):
cls = type(data)
if cls in copy_reg.dispatch_table: