# Path: third_party/bi_att_flow/my/tensorflow/general.py
# def grouper(iterable, n, fillvalue=None, shorten=False, num_groups=None):
#   args = [iter(iterable)] * n
#   out = zip_longest(*args, fillvalue=fillvalue)
#   out = list(out)
#   if num_groups is not None:
#     default = (fillvalue,) * n
#     assert isinstance(num_groups, int)
#     out = list(
#         each
#         for each, _ in zip_longest(out, range(num_groups), fillvalue=default))
#   if shorten:
#     assert fillvalue is None
#     out = (tuple(e for e in each if e is not None) for each in out)
#   return out
# 
# Path: third_party/bi_att_flow/my/utils.py
# def index(l, i):
#   return index(l[i[0]], i[1:]) if len(i) > 1 else l[i[0]]


import json
import os
import random
import itertools
import math
import numpy as np
import tensorflow as tf
from collections import defaultdict
from third_party.bi_att_flow.my.tensorflow.general import grouper
from third_party.bi_att_flow.my.utils import index
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function





class Data(object):

  def get_size(self):

# Path: third_party/bi_att_flow/my/tensorflow/general.py
# def grouper(iterable, n, fillvalue=None, shorten=False, num_groups=None):
#   args = [iter(iterable)] * n
#   out = zip_longest(*args, fillvalue=fillvalue)
#   out = list(out)
#   if num_groups is not None:
#     default = (fillvalue,) * n
#     assert isinstance(num_groups, int)
#     out = list(
#         each
#         for each, _ in zip_longest(out, range(num_groups), fillvalue=default))
#   if shorten:
#     assert fillvalue is None
#     out = (tuple(e for e in each if e is not None) for each in out)
#   return out
# 
# Path: third_party/bi_att_flow/my/utils.py
# def index(l, i):
#   return index(l[i[0]], i[1:]) if len(i) > 1 else l[i[0]]


# Path: third_party/bi_att_flow/basic/read_data.py
import json
import os
import random
import itertools
import math
import numpy as np
import tensorflow as tf
from collections import defaultdict
from third_party.bi_att_flow.my.tensorflow.general import grouper
from third_party.bi_att_flow.my.utils import index

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function





class Data(object):

  def get_size(self):

    raise NotImplementedError()