def __getattr__(self, name):
"""Get the attribute named "name"."""
# If attribute does not exist, raise AttributeError
if not name in self._v_attrnames:
raise AttributeError, \
"Attribute '%s' does not exist in node: '%s'" % \
(name, self._v__nodePath)
# Read the attribute from disk. This is an optimization to read
# quickly system attributes that are _string_ values, but it
# takes care of other types as well as for example NROWS for
# Tables and EXTDIM for EArrays
format_version = self._v__format_version
value = self._g_getAttr(self._v_node, name)
# Check whether the value is pickled
# Pickled values always seems to end with a "."
maybe_pickled = (
isinstance(value, numpy.generic) and # NumPy scalar?
value.dtype.type == numpy.string_ and # string type?
value.itemsize > 0 and value[-1] == '.' )
if ( maybe_pickled and _field_fill_re.match(name)
and format_version == (1, 5) ):
# This format was used during the first 1.2 releases, just
# for string defaults.
try:
retval = cPickle.loads(value)
retval = numpy.array(retval)
except ImportError:
retval = None # signal error avoiding exception
elif maybe_pickled and name == 'FILTERS' and format_version < (2, 0):
# This is a big hack, but we don't have other way to recognize
# pickled filters of PyTables 1.x files.
value = _old_filters_re.sub(_new_filters_sub, value, 1)
retval = cPickle.loads(value) # pass unpickling errors through
elif maybe_pickled:
try:
retval = cPickle.loads(value)
#except cPickle.UnpicklingError:
# It seems that cPickle may raise other errors than UnpicklingError
# Perhaps it would be better just an "except:" clause?
#except (cPickle.UnpicklingError, ImportError):
# Definitely (see SF bug #1254636)
except:
# ivb (2005-09-07): It is too hard to tell
# whether the unpickling failed
# because of the string not being a pickle one at all,
# because of a malformed pickle string,
# or because of some other problem in object reconstruction,
# thus making inconvenient even the issuing of a warning here.
# The documentation contains a note on this issue,
# explaining how the user can tell where the problem was.
retval = value
elif name == 'FILTERS' and format_version >= (2, 0):
retval = Filters._unpack(value)
else:
retval = value
# Put this value in local directory
self.__dict__[name] = retval
return retval
def __getattr__(self, name):
"""Get the attribute named "name"."""
# If attribute does not exist, raise AttributeError
if not name in self._v_attrnames:
raise AttributeError("Attribute '%s' does not exist in node: " "'%s'" % (name, self._v__nodepath))
# Read the attribute from disk. This is an optimization to read
# quickly system attributes that are _string_ values, but it
# takes care of other types as well as for example NROWS for
# Tables and EXTDIM for EArrays
format_version = self._v__format_version
value = self._g_getattr(self._v_node, name)
# Check whether the value is pickled
# Pickled values always seems to end with a "."
maybe_pickled = (
isinstance(value, numpy.generic)
and value.dtype.type == numpy.bytes_ # NumPy scalar?
and value.itemsize > 0 # string type?
and value.endswith(b".")
)
if maybe_pickled and value in [b"0", b"0."]:
# Workaround for a bug in many versions of Python (starting
# somewhere after Python 2.6.1). See ticket #253.
retval = value
elif maybe_pickled and _field_fill_re.match(name) and format_version == (1, 5):
# This format was used during the first 1.2 releases, just
# for string defaults.
try:
retval = cPickle.loads(value)
retval = numpy.array(retval)
except ImportError:
retval = None # signal error avoiding exception
elif maybe_pickled and name == "FILTERS" and format_version < (2, 0):
# This is a big hack, but we don't have other way to recognize
# pickled filters of PyTables 1.x files.
value = _old_filters_re.sub(_new_filters_sub, value, 1)
retval = cPickle.loads(value) # pass unpickling errors through
elif maybe_pickled:
try:
retval = cPickle.loads(value)
# except cPickle.UnpicklingError:
# It seems that pickle may raise other errors than UnpicklingError
# Perhaps it would be better just an "except:" clause?
# except (cPickle.UnpicklingError, ImportError):
# Definitely (see SF bug #1254636)
except UnicodeDecodeError:
# Object maybe pickled on python 2 and unpickled on python 3.
# encoding='bytes' was added in python 3.4 to resolve this.
# Ref: http://bugs.python.org/issue6784
try:
retval = cPickle.loads(value, encoding="bytes")
except:
retval = value
except:
# catch other unpickling errors:
# ivb (2005-09-07): It is too hard to tell
# whether the unpickling failed
# because of the string not being a pickle one at all,
# because of a malformed pickle string,
# or because of some other problem in object reconstruction,
# thus making inconvenient even the issuing of a warning here.
# The documentation contains a note on this issue,
# explaining how the user can tell where the problem was.
retval = value
# Additional check for allowing a workaround for #307
if isinstance(retval, unicode) and retval == u"":
retval = numpy.array(retval)[()]
elif name == "FILTERS" and format_version >= (2, 0):
retval = Filters._unpack(value)
elif name == "TITLE" and not isinstance(value, str):
if sys.version_info[0] < 3:
# unicode is OK for TITLE
retval = value
else:
retval = value.decode("utf-8")
elif (
issysattrname(name)
and isinstance(value, (bytes, unicode))
and not isinstance(value, str)
and not _field_fill_re.match(name)
):
# system attributes should always be str
if sys.version_info[0] < 3:
retval = value.encode()
else:
# python 3, bytes and not "FIELD_[0-9]+_FILL"
retval = value.decode("utf-8")
else:
retval = value
# Put this value in local directory
self.__dict__[name] = retval
return retval
def __getattr__(self, name):
"""Get the attribute named "name"."""
# If attribute does not exist, raise AttributeError
if not name in self._v_attrnames:
raise AttributeError("Attribute '%s' does not exist in node: "
"'%s'" % (name, self._v__nodepath))
# Read the attribute from disk. This is an optimization to read
# quickly system attributes that are _string_ values, but it
# takes care of other types as well as for example NROWS for
# Tables and EXTDIM for EArrays
format_version = self._v__format_version
value = self._g_getattr(self._v_node, name)
# Check whether the value is pickled
# Pickled values always seems to end with a "."
maybe_pickled = (
isinstance(value, numpy.generic) and # NumPy scalar?
value.dtype.type == numpy.bytes_ and # string type?
value.itemsize > 0 and value.endswith(b'.'))
if (maybe_pickled and value in [b"0", b"0."]):
# Workaround for a bug in many versions of Python (starting
# somewhere after Python 2.6.1). See ticket #253.
retval = value
elif (maybe_pickled and _field_fill_re.match(name)
and format_version == (1, 5)):
# This format was used during the first 1.2 releases, just
# for string defaults.
try:
retval = cPickle.loads(value)
retval = numpy.array(retval)
except ImportError:
retval = None # signal error avoiding exception
elif maybe_pickled and name == 'FILTERS' and format_version < (2, 0):
# This is a big hack, but we don't have other way to recognize
# pickled filters of PyTables 1.x files.
value = _old_filters_re.sub(_new_filters_sub, value, 1)
retval = cPickle.loads(value) # pass unpickling errors through
elif maybe_pickled:
try:
retval = cPickle.loads(value)
# except cPickle.UnpicklingError:
# It seems that pickle may raise other errors than UnpicklingError
# Perhaps it would be better just an "except:" clause?
# except (cPickle.UnpicklingError, ImportError):
# Definitely (see SF bug #1254636)
except:
# ivb (2005-09-07): It is too hard to tell
# whether the unpickling failed
# because of the string not being a pickle one at all,
# because of a malformed pickle string,
# or because of some other problem in object reconstruction,
# thus making inconvenient even the issuing of a warning here.
# The documentation contains a note on this issue,
# explaining how the user can tell where the problem was.
retval = value
# Additional check for allowing a workaround for #307
if isinstance(retval, unicode) and retval == u'':
retval = numpy.array(retval)[()]
elif name == 'FILTERS' and format_version >= (2, 0):
retval = Filters._unpack(value)
elif (issysattrname(name) and isinstance(value, (bytes, unicode)) and
not isinstance(value, str) and not _field_fill_re.match(name)):
# system attributes should always be str
if sys.version_info[0] < 3:
retval = value.encode()
else:
# python 3, bytes and not "FIELD_[0-9]+_FILL"
retval = value.decode('utf-8')
else:
retval = value
# Put this value in local directory
self.__dict__[name] = retval
return retval