/usr/lib/python3/dist-packages/tables/exceptions.py is in python3-tables 3.3.0-5.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 | # -*- coding: utf-8 -*-
########################################################################
#
# License: BSD
# Created: December 17, 2004
# Author: Francesc Alted - faltet@pytables.com
#
# $Id$
#
########################################################################
"""Declare exceptions and warnings that are specific to PyTables."""
from __future__ import absolute_import
import six
__docformat__ = 'reStructuredText'
"""The format of documentation strings in this module."""
import os
import warnings
import traceback
class HDF5ExtError(RuntimeError):
"""A low level HDF5 operation failed.
This exception is raised the low level PyTables components used for
accessing HDF5 files. It usually signals that something is not
going well in the HDF5 library or even at the Input/Output level.
Errors in the HDF5 C library may be accompanied by an extensive
HDF5 back trace on standard error (see also
:func:`tables.silence_hdf5_messages`).
.. versionchanged:: 2.4
Parameters
----------
message
error message
h5bt
This parameter (keyword only) controls the HDF5 back trace
handling. Any keyword arguments other than h5bt is ignored.
* if set to False the HDF5 back trace is ignored and the
:attr:`HDF5ExtError.h5backtrace` attribute is set to None
* if set to True the back trace is retrieved from the HDF5
library and stored in the :attr:`HDF5ExtError.h5backtrace`
attribute as a list of tuples
* if set to "VERBOSE" (default) the HDF5 back trace is
stored in the :attr:`HDF5ExtError.h5backtrace` attribute
and also included in the string representation of the
exception
* if not set (or set to None) the default policy is used
(see :attr:`HDF5ExtError.DEFAULT_H5_BACKTRACE_POLICY`)
"""
# NOTE: in order to avoid circular dependencies between modules the
# _dump_h5_backtrace method is set at initialization time in
# the utilsExtenion.
_dump_h5_backtrace = None
DEFAULT_H5_BACKTRACE_POLICY = "VERBOSE"
"""Default policy for HDF5 backtrace handling
* if set to False the HDF5 back trace is ignored and the
:attr:`HDF5ExtError.h5backtrace` attribute is set to None
* if set to True the back trace is retrieved from the HDF5
library and stored in the :attr:`HDF5ExtError.h5backtrace`
attribute as a list of tuples
* if set to "VERBOSE" (default) the HDF5 back trace is
stored in the :attr:`HDF5ExtError.h5backtrace` attribute
and also included in the string representation of the
exception
This parameter can be set using the
:envvar:`PT_DEFAULT_H5_BACKTRACE_POLICY` environment variable.
Allowed values are "IGNORE" (or "FALSE"), "SAVE" (or "TRUE") and
"VERBOSE" to set the policy to False, True and "VERBOSE"
respectively. The special value "DEFAULT" can be used to reset
the policy to the default value
.. versionadded:: 2.4
"""
@classmethod
def set_policy_from_env(cls):
envmap = {
"IGNORE": False,
"FALSE": False,
"SAVE": True,
"TRUE": True,
"VERBOSE": "VERBOSE",
"DEFAULT": "VERBOSE",
}
oldvalue = cls.DEFAULT_H5_BACKTRACE_POLICY
envvalue = os.environ.get("PT_DEFAULT_H5_BACKTRACE_POLICY", "DEFAULT")
try:
newvalue = envmap[envvalue.upper()]
except KeyError:
warnings.warn("Invalid value for the environment variable "
"'PT_DEFAULT_H5_BACKTRACE_POLICY'. The default "
"policy for HDF5 back trace management in PyTables "
"will be: '%s'" % oldvalue)
else:
cls.DEFAULT_H5_BACKTRACE_POLICY = newvalue
return oldvalue
def __init__(self, *args, **kargs):
super(HDF5ExtError, self).__init__(*args)
self._h5bt_policy = kargs.get('h5bt', self.DEFAULT_H5_BACKTRACE_POLICY)
if self._h5bt_policy and self._dump_h5_backtrace is not None:
self.h5backtrace = self._dump_h5_backtrace()
"""HDF5 back trace.
Contains the HDF5 back trace as a (possibly empty) list of
tuples. Each tuple has the following format::
(filename, line number, function name, text)
Depending on the value of the *h5bt* parameter passed to the
initializer the h5backtrace attribute can be set to None.
This means that the HDF5 back trace has been simply ignored
(not retrieved from the HDF5 C library error stack) or that
there has been an error (silently ignored) during the HDF5 back
trace retrieval.
.. versionadded:: 2.4
See Also
--------
traceback.format_list : :func:`traceback.format_list`
"""
# XXX: check _dump_h5_backtrace failures
else:
self.h5backtrace = None
def __str__(self):
"""Returns a sting representation of the exception.
The actual result depends on policy set in the initializer
:meth:`HDF5ExtError.__init__`.
.. versionadded:: 2.4
"""
verbose = bool(self._h5bt_policy in ('VERBOSE', 'verbose'))
if verbose and self.h5backtrace:
bt = "\n".join([
"HDF5 error back trace\n",
self.format_h5_backtrace(),
"End of HDF5 error back trace"
])
if len(self.args) == 1 and isinstance(self.args[0], six.string_types):
msg = super(HDF5ExtError, self).__str__()
msg = "%s\n\n%s" % (bt, msg)
elif self.h5backtrace[-1][-1]:
msg = "%s\n\n%s" % (bt, self.h5backtrace[-1][-1])
else:
msg = bt
else:
msg = super(HDF5ExtError, self).__str__()
return msg
def format_h5_backtrace(self, backtrace=None):
"""Convert the HDF5 trace back represented as a list of tuples.
(see :attr:`HDF5ExtError.h5backtrace`) into a string.
.. versionadded:: 2.4
"""
if backtrace is None:
backtrace = self.h5backtrace
if backtrace is None:
return 'No HDF5 back trace available'
else:
return ''.join(traceback.format_list(backtrace))
# Initialize the policy for HDF5 back trace handling
HDF5ExtError.set_policy_from_env()
# The following exceptions are concretions of the ``ValueError`` exceptions
# raised by ``file`` objects on certain operations.
class ClosedNodeError(ValueError):
"""The operation can not be completed because the node is closed.
For instance, listing the children of a closed group is not allowed.
"""
pass
class ClosedFileError(ValueError):
"""The operation can not be completed because the hosting file is closed.
For instance, getting an existing node from a closed file is not
allowed.
"""
pass
class FileModeError(ValueError):
"""The operation can not be carried out because the mode in which the
hosting file is opened is not adequate.
For instance, removing an existing leaf from a read-only file is not
allowed.
"""
pass
class NodeError(AttributeError, LookupError):
"""Invalid hierarchy manipulation operation requested.
This exception is raised when the user requests an operation on the
hierarchy which can not be run because of the current layout of the
tree. This includes accessing nonexistent nodes, moving or copying
or creating over an existing node, non-recursively removing groups
with children, and other similarly invalid operations.
A node in a PyTables database cannot be simply overwritten by
replacing it. Instead, the old node must be removed explicitely
before another one can take its place. This is done to protect
interactive users from inadvertedly deleting whole trees of data by
a single erroneous command.
"""
pass
class NoSuchNodeError(NodeError):
"""An operation was requested on a node that does not exist.
This exception is raised when an operation gets a path name or a
``(where, name)`` pair leading to a nonexistent node.
"""
pass
class UndoRedoError(Exception):
"""Problems with doing/redoing actions with Undo/Redo feature.
This exception indicates a problem related to the Undo/Redo
mechanism, such as trying to undo or redo actions with this
mechanism disabled, or going to a nonexistent mark.
"""
pass
class UndoRedoWarning(Warning):
"""Issued when an action not supporting Undo/Redo is run.
This warning is only shown when the Undo/Redo mechanism is enabled.
"""
pass
class NaturalNameWarning(Warning):
"""Issued when a non-pythonic name is given for a node.
This is not an error and may even be very useful in certain
contexts, but one should be aware that such nodes cannot be
accessed using natural naming (instead, ``getattr()`` must be
used explicitly).
"""
pass
class PerformanceWarning(Warning):
"""Warning for operations which may cause a performance drop.
This warning is issued when an operation is made on the database
which may cause it to slow down on future operations (i.e. making
the node tree grow too much).
"""
pass
class FlavorError(ValueError):
"""Unsupported or unavailable flavor or flavor conversion.
This exception is raised when an unsupported or unavailable flavor
is given to a dataset, or when a conversion of data between two
given flavors is not supported nor available.
"""
pass
class FlavorWarning(Warning):
"""Unsupported or unavailable flavor conversion.
This warning is issued when a conversion of data between two given
flavors is not supported nor available, and raising an error would
render the data inaccessible (e.g. on a dataset of an unavailable
flavor in a read-only file).
See the `FlavorError` class for more information.
"""
pass
class FiltersWarning(Warning):
"""Unavailable filters.
This warning is issued when a valid filter is specified but it is
not available in the system. It may mean that an available default
filter is to be used instead.
"""
pass
class OldIndexWarning(Warning):
"""Unsupported index format.
This warning is issued when an index in an unsupported format is
found. The index will be marked as invalid and will behave as if
doesn't exist.
"""
pass
class DataTypeWarning(Warning):
"""Unsupported data type.
This warning is issued when an unsupported HDF5 data type is found
(normally in a file created with other tool than PyTables).
"""
pass
class ExperimentalFeatureWarning(Warning):
"""Generic warning for experimental features.
This warning is issued when using a functionality that is still
experimental and that users have to use with care.
"""
pass
## Local Variables:
## mode: python
## py-indent-offset: 4
## tab-width: 4
## fill-column: 72
## End:
|