import sys
_module = sys.modules[__name__]
del sys
server = _module
evaluate = _module
external = _module
trim_fairseq_model = _module
convert_to_lines = _module
dataset = _module
extractive_model = _module
predict = _module
predict_extractive = _module
train = _module
train_extractive = _module
util = _module
dataset = _module
predict = _module
onmt_scripts = _module
evaluate_onmt = _module
presumm_scripts = _module
convert_to_presumm = _module
summarus = _module
models = _module
copynet = _module
pgn = _module
seq2seq = _module
summarunner = _module
modules = _module
bahdanau_attention = _module
predictors = _module
summary_predictor = _module
summary_sentences_predictor = _module
readers = _module
cnn_dailymail_json_reader = _module
cnn_dailymail_reader = _module
contracts_reader = _module
gazeta_reader = _module
gazeta_sentence_tagger_reader = _module
lenta_reader = _module
ria_reader = _module
summarization_reader = _module
summarization_sentence_tagger_reader = _module
settings = _module
build_vocab = _module
features = _module
pearson = _module
spacy_analyze = _module
tests = _module
test_readers = _module
test_summarization = _module
tokenizers = _module
razdel_tokenizer = _module
subword_tokenizer = _module
build_oracle = _module
extraction_score = _module
io = _module
meteor = _module
metrics = _module
spacy = _module
train_subword_model = _module
target_to_lines = _module

from _paritybench_helpers import _mock_config, patch_functional
from unittest.mock import mock_open, MagicMock
from torch.autograd import Function
from torch.nn import Module
import abc, collections, copy, enum, functools, inspect, itertools, logging, math, matplotlib, numbers, numpy, pandas, queue, random, re, scipy, sklearn, string, tensorflow, time, torch, torchaudio, torchtext, torchvision, types, typing, uuid, warnings
import numpy as np
from torch import Tensor
patch_functional()
open = mock_open()
yaml = logging = sys = argparse = MagicMock()
ArgumentParser = argparse.ArgumentParser
_global_config = args = argv = cfg = config = params = _mock_config()
argparse.ArgumentParser.return_value.parse_args.return_value = _global_config
yaml.load.return_value = _global_config
sys.argv = _global_config
__version__ = '1.0.0'
xrange = range
wraps = functools.wraps


import torch


import random


from typing import List


from typing import Dict


import torch.nn.functional as F


from torch.utils.data import Dataset


import copy


from torch.nn.functional import pad


import torch.nn as nn


import numpy as np


import logging


from typing import Any


from typing import Tuple


from torch.nn.modules.linear import Linear


from torch.nn.modules.rnn import LSTMCell


from torch.nn.functional import relu


from torch.nn.modules import Linear


from torch.nn.modules import Embedding


from torch.nn.modules import Dropout


from torch.nn import Parameter


from collections import Counter

