#!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# 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
#
#     http://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.
#

"""Memcache API.

Provides memcached-alike API to application developers to store
data in memory when reliable storage via the DataStore API isn't
required and higher performance is desired.
"""



import cStringIO
import math
import pickle
import types

from google.appengine.api import api_base_pb
from google.appengine.api import apiproxy_stub_map
from google.appengine.api.memcache import memcache_service_pb
from google.appengine.runtime import apiproxy_errors

MemcacheSetResponse = memcache_service_pb.MemcacheSetResponse
MemcacheSetRequest = memcache_service_pb.MemcacheSetRequest

MemcacheGetResponse = memcache_service_pb.MemcacheGetResponse
MemcacheGetRequest = memcache_service_pb.MemcacheGetRequest

MemcacheDeleteResponse = memcache_service_pb.MemcacheDeleteResponse
MemcacheDeleteRequest = memcache_service_pb.MemcacheDeleteRequest

MemcacheIncrementResponse = memcache_service_pb.MemcacheIncrementResponse
MemcacheIncrementRequest = memcache_service_pb.MemcacheIncrementRequest

MemcacheFlushResponse = memcache_service_pb.MemcacheFlushResponse
MemcacheFlushRequest = memcache_service_pb.MemcacheFlushRequest

MemcacheStatsRequest = memcache_service_pb.MemcacheStatsRequest
MemcacheStatsResponse = memcache_service_pb.MemcacheStatsResponse

DELETE_NETWORK_FAILURE = 0
DELETE_ITEM_MISSING = 1
DELETE_SUCCESSFUL = 2

MAX_KEY_SIZE = 250
MAX_VALUE_SIZE = 10 ** 6

STAT_HITS = 'hits'
STAT_MISSES = 'misses'
STAT_BYTE_HITS = 'byte_hits'
STAT_ITEMS = 'items'
STAT_BYTES = 'bytes'
STAT_OLDEST_ITEM_AGES = 'oldest_item_age'

FLAG_TYPE_MASK = 7
FLAG_COMPRESSED = 1 << 3

TYPE_STR = 0
TYPE_UNICODE = 1
TYPE_PICKLED = 2
TYPE_INT = 3
TYPE_LONG = 4
TYPE_BOOL = 5


def _key_string(key, key_prefix='', server_to_user_dict=None):
  """Utility function to handle different ways of requesting keys.

  Args:
    key: Either a string or tuple of (shard_number, string).  In Google App
      Engine the sharding is automatic so the shard number is ignored.
      To memcache, the key is just bytes (no defined encoding).
    key_prefix: Optional string prefix to prepend to key.
    server_to_user_dict: Optional dictionary to populate with a mapping of
      server-side key (which includes the key_prefix) to user-supplied key
      (which does not have the prefix).

  Returns:
    The key as a non-unicode string prepended with key_prefix. This is the key
    sent to and stored by the server.

  Raises:
    TypeError: If provided key isn't a string or tuple of (int, string)
      or key_prefix or server_to_user_dict are of the wrong type.
    ValueError: If the key, when translated to the server key, is more than
      250 bytes in length.
  """
  if type(key) is types.TupleType:
    key = key[1]
  if not isinstance(key, basestring):
    raise TypeError('Key must be a string instance, received %r' % key)
  if not isinstance(key_prefix, basestring):
    raise TypeError('key_prefix must be a string instance, received %r' %
                    key_prefix)

  server_key = key_prefix + key
  if isinstance(server_key, unicode):
    server_key = server_key.encode('utf-8')

  if len(server_key) > MAX_KEY_SIZE:
    raise ValueError('Keys may not be more than %d bytes in length, '
                     'received %d bytes' % (MAX_KEY_SIZE, len(server_key)))

  if server_to_user_dict is not None:
    if not isinstance(server_to_user_dict, dict):
      raise TypeError('server_to_user_dict must be a dict instance, ' +
                      'received %r' % key)
    server_to_user_dict[server_key] = key

  return server_key


def _validate_encode_value(value, do_pickle):
  """Utility function to validate and encode server keys and values.

  Args:
    value: Value to store in memcache. If it's a string, it will get passed
      along as-is. If it's a unicode string, it will be marked appropriately,
      such that retrievals will yield a unicode value. If it's any other data
      type, this function will attempt to pickle the data and then store the
      serialized result, unpickling it upon retrieval.
    do_pickle: Callable that takes an object and returns a non-unicode
      string containing the pickled object.

  Returns:
    Tuple (stored_value, flags) where:
      stored_value: The value as a non-unicode string that should be stored
        in memcache.
      flags: An integer with bits set from the FLAG_* constants in this file
        to indicate the encoding of the key and value.

  Raises:
    ValueError: If the encoded value is too large.
    pickle.PicklingError: If the value is not a string and could not be pickled.
    RuntimeError: If a complicated data structure could not be pickled due to
      too many levels of recursion in its composition.
  """
  flags = 0
  stored_value = value

  if isinstance(value, str):
    pass
  elif isinstance(value, unicode):
    stored_value = value.encode('utf-8')
    flags |= TYPE_UNICODE
  elif isinstance(value, bool):
    stored_value = str(int(value))
    flags |= TYPE_BOOL
  elif isinstance(value, int):
    stored_value = str(value)
    flags |= TYPE_INT
  elif isinstance(value, long):
    stored_value = str(value)
    flags |= TYPE_LONG
  else:
    stored_value = do_pickle(value)
    flags |= TYPE_PICKLED


  if len(stored_value) > MAX_VALUE_SIZE:
    raise ValueError('Values may not be more than %d bytes in length; '
                     'received %d bytes' % (MAX_VALUE_SIZE, len(stored_value)))

  return (stored_value, flags)


def _decode_value(stored_value, flags, do_unpickle):
  """Utility function for decoding values retrieved from memcache.

  Args:
    stored_value: The value as a non-unicode string that was stored.
    flags: An integer with bits set from the FLAG_* constants in this file
      that indicate the encoding of the key and value.
    do_unpickle: Callable that takes a non-unicode string object that contains
      a pickled object and returns the pickled object.

  Returns:
    The original object that was stored, be it a normal string, a unicode
    string, int, long, or a Python object that was pickled.

  Raises:
    pickle.UnpicklingError: If the value could not be unpickled.
  """
  assert isinstance(stored_value, str)
  assert isinstance(flags, (int, long))

  type_number = flags & FLAG_TYPE_MASK
  value = stored_value


  if type_number == TYPE_STR:
    return value
  elif type_number == TYPE_UNICODE:
    return value.decode('utf-8')
  elif type_number == TYPE_PICKLED:
    return do_unpickle(value)
  elif type_number == TYPE_BOOL:
    return bool(int(value))
  elif type_number == TYPE_INT:
    return int(value)
  elif type_number == TYPE_LONG:
    return long(value)
  else:
    assert False, "Unknown stored type"
  assert False, "Shouldn't get here."

class Client(object):
  """Memcache client object, through which one invokes all memcache operations.

  Several methods are no-ops to retain source-level compatibility
  with the existing popular Python memcache library.

  Any method that takes a 'key' argument will accept that key as a string
  (unicode or not) or a tuple of (hash_value, string) where the hash_value,
  normally used for sharding onto a memcache instance, is instead ignored, as
  Google App Engine deals with the sharding transparently. Keys in memcache are
  just bytes, without a specified encoding. All such methods may raise TypeError
  if provided a bogus key value and a ValueError if the key is too large.

  Any method that takes a 'value' argument will accept as that value any
  string (unicode or not), int, long, or pickle-able Python object, including
  all native types.  You'll get back from the cache the same type that you
  originally put in.
  """

  def __init__(self, servers=None, debug=0,
               pickleProtocol=pickle.HIGHEST_PROTOCOL,
               pickler=pickle.Pickler,
               unpickler=pickle.Unpickler,
               pload=None,
               pid=None,
               make_sync_call=apiproxy_stub_map.MakeSyncCall):
    """Create a new Client object.

    No parameters are required.

    Arguments:
      servers: Ignored; only for compatibility.
      debug: Ignored; only for compatibility.
      pickleProtocol: Pickle protocol to use for pickling the object.
      pickler: pickle.Pickler sub-class to use for pickling.
      unpickler: pickle.Unpickler sub-class to use for unpickling.
      pload: Callable to use for retrieving objects by persistent id.
      pid: Callable to use for determine the persistent id for objects, if any.
      make_sync_call: Function to use to make an App Engine service call.
        Used for testing.
    """
    self._pickle_data = cStringIO.StringIO()
    self._pickler_instance = pickler(self._pickle_data,
                                     protocol=pickleProtocol)
    self._unpickler_instance = unpickler(self._pickle_data)
    if pid is not None:
      self._pickler_instance.persistent_id = pid
    if pload is not None:
      self._unpickler_instance.persistent_load = pload

    def DoPickle(value):
      self._pickle_data.truncate(0)
      self._pickler_instance.clear_memo()
      self._pickler_instance.dump(value)
      return self._pickle_data.getvalue()
    self._do_pickle = DoPickle

    def DoUnpickle(value):
      self._pickle_data.truncate(0)
      self._pickle_data.write(value)
      self._pickle_data.seek(0)
      self._unpickler_instance.memo.clear()
      return self._unpickler_instance.load()
    self._do_unpickle = DoUnpickle

    self._make_sync_call = make_sync_call

  def set_servers(self, servers):
    """Sets the pool of memcache servers used by the client.

    This is purely a compatibility method.  In Google App Engine, it's a no-op.
    """
    pass

  def disconnect_all(self):
    """Closes all connections to memcache servers.

    This is purely a compatibility method.  In Google App Engine, it's a no-op.
    """
    pass

  def forget_dead_hosts(self):
    """Resets all servers to the alive status.

    This is purely a compatibility method.  In Google App Engine, it's a no-op.
    """
    pass

  def debuglog(self):
    """Logging function for debugging information.

    This is purely a compatibility method.  In Google App Engine, it's a no-op.
    """
    pass

  def get_stats(self):
    """Gets memcache statistics for this application.

    All of these statistics may reset due to various transient conditions. They
    provide the best information available at the time of being called.

    Returns:
      Dictionary mapping statistic names to associated values. Statistics and
      their associated meanings:

        hits: Number of cache get requests resulting in a cache hit.
        misses: Number of cache get requests resulting in a cache miss.
        byte_hits: Sum of bytes transferred on get requests. Rolls over to
          zero on overflow.
        items: Number of key/value pairs in the cache.
        bytes: Total size of all items in the cache.
        oldest_item_age: How long in seconds since the oldest item in the
          cache was accessed. Effectively, this indicates how long a new
          item will survive in the cache without being accessed. This is
          _not_ the amount of time that has elapsed since the item was
          created.

      On error, returns None.
    """
    request = MemcacheStatsRequest()
    response = MemcacheStatsResponse()
    try:
      self._make_sync_call('memcache', 'Stats', request, response)
    except apiproxy_errors.ApplicationError, e:
      return None

    if not response.has_stats():
      return None

    stats = response.stats()
    return {
      STAT_HITS: stats.hits(),
      STAT_MISSES: stats.misses(),
      STAT_BYTE_HITS: stats.byte_hits(),
      STAT_ITEMS: stats.items(),
      STAT_BYTES: stats.bytes(),
      STAT_OLDEST_ITEM_AGES: stats.oldest_item_age(),
    }

  def flush_all(self):
    """Deletes everything in memcache.

    Returns:
      True on success, False on RPC or server error.
    """
    request = MemcacheFlushRequest()
    response = MemcacheFlushResponse()
    try:
      self._make_sync_call('memcache', 'FlushAll', request, response)
    except apiproxy_errors.ApplicationError:
      return False
    return True

  def get(self, key):
    """Looks up a single key in memcache.

    If you have multiple items to load, though, it's much more efficient
    to use get_multi() instead, which loads them in one bulk operation,
    reducing the networking latency that'd otherwise be required to do
    many serialized get() operations.

    Args:
      key: The key in memcache to look up.  See docs on Client
        for details of format.

    Returns:
      The value of the key, if found in memcache, else None.
    """
    request = MemcacheGetRequest()
    request.add_key(_key_string(key))
    response = MemcacheGetResponse()
    try:
      self._make_sync_call('memcache', 'Get', request, response)
    except apiproxy_errors.ApplicationError:
      return None

    if not response.item_size():
      return None

    return _decode_value(response.item(0).value(),
                         response.item(0).flags(),
                         self._do_unpickle)

  def get_multi(self, keys, key_prefix=''):
    """Looks up multiple keys from memcache in one operation.

    This is the recommended way to do bulk loads.

    Args:
      keys: List of keys to look up.  Keys may be strings or
        tuples of (hash_value, string).  Google App Engine
        does the sharding and hashing automatically, though, so the hash
        value is ignored.  To memcache, keys are just series of bytes,
        and not in any particular encoding.
      key_prefix: Prefix to prepend to all keys when talking to the server;
        not included in the returned dictionary.

    Returns:
      A dictionary of the keys and values that were present in memcache.
      Even if the key_prefix was specified, that key_prefix won't be on
      the keys in the returned dictionary.
    """
    request = MemcacheGetRequest()
    response = MemcacheGetResponse()
    user_key = {}
    for key in keys:
      request.add_key(_key_string(key, key_prefix, user_key))
    try:
      self._make_sync_call('memcache', 'Get', request, response)
    except apiproxy_errors.ApplicationError:
      return {}

    return_value = {}
    for returned_item in response.item_list():
      value = _decode_value(returned_item.value(), returned_item.flags(),
                            self._do_unpickle)
      return_value[user_key[returned_item.key()]] = value
    return return_value

  def delete(self, key, seconds=0):
    """Deletes a key from memcache.

    Args:
      key: Key to delete.  See docs on Client for detils.
      seconds: Optional number of seconds to make deleted items 'locked'
        for 'add' operations. Value can be a delta from current time (up to
        1 month), or an absolute Unix epoch time.  Defaults to 0, which means
        items can be immediately added.  With or without this option,
        a 'set' operation will always work.  Float values will be rounded up to
        the nearest whole second.

    Returns:
      DELETE_NETWORK_FAILURE (0) on network failure,
      DELETE_ITEM_MISSING (1) if the server tried to delete the item but
      didn't have it, or
      DELETE_SUCCESSFUL (2) if the item was actually deleted.
      This can be used as a boolean value, where a network failure is the
      only bad condition.
    """
    if not isinstance(seconds, (int, long, float)):
      raise TypeError('Delete timeout must be a number.')
    if seconds < 0:
      raise ValueError('Delete timeout must be non-negative.')

    request = MemcacheDeleteRequest()
    response = MemcacheDeleteResponse()

    delete_item = request.add_item()
    delete_item.set_key(_key_string(key))
    delete_item.set_delete_time(int(math.ceil(seconds)))
    try:
      self._make_sync_call('memcache', 'Delete', request, response)
    except apiproxy_errors.ApplicationError:
      return DELETE_NETWORK_FAILURE
    assert response.delete_status_size() == 1, 'Unexpected status size.'

    if response.delete_status(0) == MemcacheDeleteResponse.DELETED:
      return DELETE_SUCCESSFUL
    elif response.delete_status(0) == MemcacheDeleteResponse.NOT_FOUND:
      return DELETE_ITEM_MISSING
    assert False, 'Unexpected deletion status code.'

  def delete_multi(self, keys, seconds=0, key_prefix=''):
    """Delete multiple keys at once.

    Args:
      keys: List of keys to delete.
      seconds: Optional number of seconds to make deleted items 'locked'
        for 'add' operations. Value can be a delta from current time (up to
        1 month), or an absolute Unix epoch time.  Defaults to 0, which means
        items can be immediately added.  With or without this option,
        a 'set' operation will always work.  Float values will be rounded up to
        the nearest whole second.
      key_prefix: Prefix to put on all keys when sending specified
        keys to memcache.  See docs for get_multi() and set_multi().

    Returns:
      True if all operations completed successfully.  False if one
      or more failed to complete.
    """
    if not isinstance(seconds, (int, long, float)):
      raise TypeError('Delete timeout must be a number.')
    if seconds < 0:
      raise ValueError('Delete timeout must not be negative.')

    request = MemcacheDeleteRequest()
    response = MemcacheDeleteResponse()

    for key in keys:
      delete_item = request.add_item()
      delete_item.set_key(_key_string(key, key_prefix=key_prefix))
      delete_item.set_delete_time(int(math.ceil(seconds)))
    try:
      self._make_sync_call('memcache', 'Delete', request, response)
    except apiproxy_errors.ApplicationError:
      return False
    return True

  def set(self, key, value, time=0, min_compress_len=0):
    """Sets a key's value, regardless of previous contents in cache.

    Unlike add() and replace(), this method always sets (or
    overwrites) the value in memcache, regardless of previous
    contents.

    Args:
      key: Key to set.  See docs on Client for details.
      value: Value to set.  Any type.  If complex, will be pickled.
      time: Optional expiration time, either relative number of seconds
        from current time (up to 1 month), or an absolute Unix epoch time.
        By default, items never expire, though items may be evicted due to
        memory pressure.  Float values will be rounded up to the nearest
        whole second.
      min_compress_len: Ignored option for compatibility.

    Returns:
      True if set.  False on error.
    """
    return self._set_with_policy(MemcacheSetRequest.SET, key, value, time=time)

  def add(self, key, value, time=0, min_compress_len=0):
    """Sets a key's value, iff item is not already in memcache.

    Args:
      key: Key to set.  See docs on Client for details.
      value: Value to set.  Any type.  If complex, will be pickled.
      time: Optional expiration time, either relative number of seconds
        from current time (up to 1 month), or an absolute Unix epoch time.
        By default, items never expire, though items may be evicted due to
        memory pressure.  Float values will be rounded up to the nearest
        whole second.
      min_compress_len: Ignored option for compatibility.

    Returns:
      True if added.  False on error.
    """
    return self._set_with_policy(MemcacheSetRequest.ADD, key, value, time=time)

  def replace(self, key, value, time=0, min_compress_len=0):
    """Replaces a key's value, failing if item isn't already in memcache.

    Args:
      key: Key to set.  See docs on Client for details.
      value: Value to set.  Any type.  If complex, will be pickled.
      time: Optional expiration time, either relative number of seconds
        from current time (up to 1 month), or an absolute Unix epoch time.
        By default, items never expire, though items may be evicted due to
        memory pressure.  Float values will be rounded up to the nearest
        whole second.
      min_compress_len: Ignored option for compatibility.

    Returns:
      True if replaced.  False on RPC error or cache miss.
    """
    return self._set_with_policy(MemcacheSetRequest.REPLACE,
                                 key, value, time=time)

  def _set_with_policy(self, policy, key, value, time=0):
    """Sets a single key with a specified policy.

    Helper function for set(), add(), and replace().

    Args:
      policy:  One of MemcacheSetRequest.SET, .ADD, or .REPLACE.
      key: Key to add, set, or replace.  See docs on Client for details.
      value: Value to set.
      time: Expiration time, defaulting to 0 (never expiring).

    Returns:
      True if stored, False on RPC error or policy error, e.g. a replace
      that failed due to the item not already existing, or an add
      failing due to the item not already existing.
    """
    if not isinstance(time, (int, long, float)):
      raise TypeError('Expiration must be a number.')
    if time < 0:
      raise ValueError('Expiration must not be negative.')

    request = MemcacheSetRequest()
    item = request.add_item()
    item.set_key(_key_string(key))
    stored_value, flags = _validate_encode_value(value, self._do_pickle)
    item.set_value(stored_value)
    item.set_flags(flags)
    item.set_set_policy(policy)
    item.set_expiration_time(int(math.ceil(time)))
    response = MemcacheSetResponse()
    try:
      self._make_sync_call('memcache', 'Set', request, response)
    except apiproxy_errors.ApplicationError:
      return False
    if response.set_status_size() != 1:
      return False
    return response.set_status(0) == MemcacheSetResponse.STORED

  def set_multi(self, mapping, time=0, key_prefix='', min_compress_len=0):
    """Set multiple keys' values at once.

    This reduces the network latency of doing many requests in serial.

    Args:
      mapping: Dictionary of keys to values.
      time: Optional expiration time, either relative number of seconds
        from current time (up to 1 month), or an absolute Unix epoch time.
        By default, items never expire, though items may be evicted due to
        memory pressure.  Float values will be rounded up to the nearest
        whole second.
      key_prefix: Prefix for to prepend to all keys.
      min_compress_len: Unimplemented compatibility option.

    Returns:
      A list of keys whose values were NOT set.  On total success,
      this list should be empty.
    """
    if not isinstance(time, (int, long, float)):
      raise TypeError('Expiration must be a number.')
    if time < 0.0:
      raise ValueError('Expiration must not be negative.')

    request = MemcacheSetRequest()
    user_key = {}
    server_keys = []
    for key, value in mapping.iteritems():
      server_key = _key_string(key, key_prefix, user_key)
      stored_value, flags = _validate_encode_value(value, self._do_pickle)
      server_keys.append(server_key)

      item = request.add_item()
      item.set_key(server_key)
      item.set_value(stored_value)
      item.set_flags(flags)
      item.set_set_policy(MemcacheSetRequest.SET)
      item.set_expiration_time(int(math.ceil(time)))

    response = MemcacheSetResponse()
    try:
      self._make_sync_call('memcache', 'Set', request, response)
    except apiproxy_errors.ApplicationError:
      return False

    assert response.set_status_size() == len(server_keys)

    unset_list = []
    for server_key, set_status in zip(server_keys, response.set_status_list()):
      if set_status != MemcacheSetResponse.STORED:
        unset_list.append(user_key[server_key])

    return unset_list

  def incr(self, key, delta=1):
    """Atomically increments a key's value.

    Internally, the value is a unsigned 64-bit integer.  Memcache
    doesn't check 64-bit overflows.  The value, if too large, will
    wrap around.

    The key must already exist in the cache to be incremented.  To
    initialize a counter, set() it to the initial value, as an
    ASCII decimal integer.  Future get()s of the key, post-increment,
    will still be an ASCII decimal value.

    Args:
      key: Key to increment.  See Client's docstring for details.
      delta: Non-negative integer value (int or long) to increment key by,
        defaulting to 1.

    Returns:
      New long integer value, or None if key was not in the cache or could not
      be incremented for any other reason.

    Raises:
      ValueError: If number is negative.
      TypeError: If delta isn't an int or long.
    """
    return self._incrdecr(key, False, delta)

  def decr(self, key, delta=1):
    """Atomically decrements a key's value.

    Internally, the value is a unsigned 64-bit integer.  Memcache
    caps decrementing below zero to zero.

    The key must already exist in the cache to be decremented.  See
    docs on incr() for details.

    Args:
      key: Key to decrement.  See Client's docstring for details.
      delta: Non-negative integer value (int or long) to decrement key by,
        defaulting to 1.

    Returns:
      New long integer value, or None if key wasn't in cache and couldn't
      be decremented.

    Raises:
      ValueError: If number is negative.
      TypeError: If delta isn't an int or long.
    """
    return self._incrdecr(key, True, delta)

  def _incrdecr(self, key, is_negative, delta):
    """Increment or decrement a key by a provided delta.

    Args:
      key: Key to increment or decrement.
      is_negative: Boolean, if this is a decrement.
      delta: Non-negative integer amount (int or long) to increment
        or decrement by.

    Returns:
      New long integer value, or None on cache miss.

    Raises:
      ValueError: If delta is negative.
      TypeError: If delta isn't an int or long.
    """
    if not isinstance(delta, (int, long)):
      raise TypeError('Delta must be an integer or long, received %r' % delta)
    if delta < 0:
      raise ValueError('Delta must not be negative.')

    request = MemcacheIncrementRequest()
    response = MemcacheIncrementResponse()
    request.set_key(_key_string(key))
    request.set_delta(delta)
    if is_negative:
      request.set_direction(MemcacheIncrementRequest.DECREMENT)
    else:
      request.set_direction(MemcacheIncrementRequest.INCREMENT)

    try:
      self._make_sync_call('memcache', 'Increment', request, response)
    except apiproxy_errors.ApplicationError:
      return None

    if response.has_new_value():
      return response.new_value()
    return None


_CLIENT = None


def setup_client(client_obj):
  """Sets the Client object instance to use for all module-level methods.

  Use this method if you want to have customer persistent_id() or
  persistent_load() functions associated with your client.

  Args:
    client_obj: Instance of the memcache.Client object.
  """
  global _CLIENT
  var_dict = globals()

  _CLIENT = client_obj
  var_dict['set_servers'] = _CLIENT.set_servers
  var_dict['disconnect_all'] = _CLIENT.disconnect_all
  var_dict['forget_dead_hosts'] = _CLIENT.forget_dead_hosts
  var_dict['debuglog'] = _CLIENT.debuglog
  var_dict['get'] = _CLIENT.get
  var_dict['get_multi'] = _CLIENT.get_multi
  var_dict['set'] = _CLIENT.set
  var_dict['set_multi'] = _CLIENT.set_multi
  var_dict['add'] = _CLIENT.add
  var_dict['replace'] = _CLIENT.replace
  var_dict['delete'] = _CLIENT.delete
  var_dict['delete_multi'] = _CLIENT.delete_multi
  var_dict['incr'] = _CLIENT.incr
  var_dict['decr'] = _CLIENT.decr
  var_dict['flush_all'] = _CLIENT.flush_all
  var_dict['get_stats'] = _CLIENT.get_stats


setup_client(Client())
