Skip to content
Permalink
Branch: master
Find file Copy path
Find file Copy path
tf-model-analysis-team Automated rollback of commit b12ba34 f407527 Mar 22, 2019
1 contributor

Users who have contributed to this file

176 lines (144 sloc) 5.87 KB
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""General utilities."""
from __future__ import absolute_import
from __future__ import division
# Standard __future__ imports
from __future__ import print_function
import inspect
import sys
import traceback
import six
from typing import List, Optional, Text
# Separator used when combining multiple layers of Extracts keys into a single
# string. Normally we would like to use '.' or '/' as a separator, but the
# output gets written to a table backed by a proto based schema which limits the
# characters that can be used to [a-zA-Z_].
KEY_SEPARATOR = '__'
# Suffix for keys representing the top k keys associated with a sparse item.
KEYS_SUFFIX = 'keys'
# Suffix for keys representing the top k values associated with a sparse item.
VALUES_SUFFIX = 'values'
def unique_key(key: Text,
current_keys: List[Text],
update_keys: Optional[bool] = False) -> Text:
"""Returns a unique key given a list of current keys.
If the key exists in current_keys then a new key with _1, _2, ..., etc
appended will be returned, otherwise the key will be returned as passed.
Args:
key: desired key name.
current_keys: List of current key names.
update_keys: True to append the new key to current_keys.
"""
index = 1
k = key
while k in current_keys:
k = '%s_%d' % (key, index)
index += 1
if update_keys:
current_keys.append(k)
return k
def compound_key(keys: List[Text], separator: Text = KEY_SEPARATOR) -> Text:
"""Returns a compound key based on a list of keys.
Args:
keys: Keys used to make up compound key.
separator: Separator between keys. To ensure the keys can be parsed out of
any compound key created, any use of a separator within a key will be
replaced by two separators.
"""
return separator.join([key.replace(separator, separator * 2) for key in keys])
def create_keys_key(key: Text) -> Text:
"""Creates secondary key representing the sparse keys associated with key."""
return '_'.join([key, KEYS_SUFFIX])
def create_values_key(key: Text) -> Text:
"""Creates secondary key representing sparse values associated with key."""
return '_'.join([key, VALUES_SUFFIX])
def reraise_augmented(exception: Exception, additional_message: Text) -> None:
"""Reraise a given exception with additional information.
Based on _reraise_augmented in Apache Beam.
Args:
exception: Original exception.
additional_message: Additional message to append to original exception's
message.
"""
# To emulate exception chaining (not available in Python 2).
original_traceback = sys.exc_info()[2]
try:
# Attempt to construct the same kind of exception
# with an augmented message.
#
# pytype: disable=attribute-error
# PyType doesn't know that Exception has the args attribute.
new_exception = type(exception)(
exception.args[0] + ' additional message: ' + additional_message,
*exception.args[1:])
# pytype: enable=attribute-error
except: # pylint: disable=bare-except
# If anything goes wrong, construct a RuntimeError whose message
# records the original exception's type and message.
new_exception = RuntimeError(
traceback.format_exception_only(type(exception), exception)[-1].strip()
+ ' additional message: ' + additional_message)
six.reraise(type(new_exception), new_exception, original_traceback)
def kwargs_only(fn):
"""Wraps function so that callers must call it using keyword-arguments only.
Args:
fn: fn to wrap.
Returns:
Wrapped function that may only be called using keyword-arguments.
"""
if hasattr(inspect, 'getfullargspec'):
# For Python 3
args = inspect.getfullargspec(fn)
varargs = args.varargs
keywords = args.varkw
else:
# For Python 2
args = inspect.getargspec(fn)
varargs = args.varargs
keywords = args.keywords
if varargs is not None:
raise TypeError('function to wrap should not have *args parameter')
if keywords is not None:
raise TypeError('function to wrap should not have **kwargs parameter')
arg_list = args.args
has_default = [False] * len(arg_list)
default_values = [None] * len(arg_list)
has_self = arg_list[0] == 'self'
if args.defaults:
has_default[-len(args.defaults):] = [True] * len(args.defaults)
default_values[-len(args.defaults):] = args.defaults
def wrapped_fn(*args, **kwargs):
"""Wrapped function."""
if args:
if not has_self or (has_self and len(args) != 1):
raise TypeError('function %s must be called using keyword-arguments '
'only.' % fn.__name__)
if has_self:
if len(args) != 1:
raise TypeError('function %s has self argument but not called with '
'exactly 1 positional argument' % fn.__name__)
kwargs['self'] = args[0]
kwargs_to_pass = {}
for arg_name, arg_has_default, arg_default_value in zip(
arg_list, has_default, default_values):
if not arg_has_default and arg_name not in kwargs:
raise TypeError('function %s must be called with %s specified' %
(fn.__name__, arg_name))
kwargs_to_pass[arg_name] = kwargs.pop(arg_name, arg_default_value)
if kwargs:
raise TypeError('function %s called with extraneous kwargs: %s' %
(fn.__name__, kwargs.keys()))
return fn(**kwargs_to_pass)
return wrapped_fn
You can’t perform that action at this time.