<commit_before># This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.agents import Agent
from .modules import ImgNet, ListenNet, StateNet, SpeakNet, PredictNet

import torch
from torch.autograd import Variable
from torch import optim
from torch.autograd import backward as autograd_backward


class CooperativeGameAgent(Agent):
    """Base class for both, the questioner and answerer. It can be extended to
    create custom players of games, other than questioner and answerer. It has
    separate modules to listen (observe), speak (act) and update its internal
    state. Each module is a collection of one or more pytorch modules, and can
    be extended and replaced in the agent as per task requirements.
    """

    OPTIM_OPTS = {
        'adadelta': optim.Adadelta,
        'adagrad': optim.Adagrad,
        'adam': optim.Adam,
        'adamax': optim.Adamax,
        'asgd': optim.ASGD,
        'lbfgs': optim.LBFGS,<commit_msg>import DictionaryAgent for lines 39, 44, 189, 244 (#552)<commit_after># This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
from parlai.core.agents import Agent
from parlai.core.dict import DictionaryAgent
from .modules import ImgNet, ListenNet, StateNet, SpeakNet, PredictNet

import torch
from torch.autograd import Variable
from torch import optim
from torch.autograd import backward as autograd_backward


class CooperativeGameAgent(Agent):
    """Base class for both, the questioner and answerer. It can be extended to
    create custom players of games, other than questioner and answerer. It has
    separate modules to listen (observe), speak (act) and update its internal
    state. Each module is a collection of one or more pytorch modules, and can
    be extended and replaced in the agent as per task requirements.
    """

    OPTIM_OPTS = {
        'adadelta': optim.Adadelta,
        'adagrad': optim.Adagrad,
        'adam': optim.Adam,
        'adamax': optim.Adamax,
        'asgd': optim.ASGD,
        'lbfgs': optim.LBFGS,
{'fraction_non_alphanumeric': 0.0641025641025641, 'fraction_numerical': 0.005555555555555556, 'mean_word_length': 3.6173570019723864, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '2004004', 'n_tokens_mistral': 671, 'n_tokens_neox': 640, 'n_words': 299}